Navier-Stokes equations

Size: px
Start display at page:

Download "Navier-Stokes equations"

Transcription

1 Solomon I. Khmelnik Naier-Stokes equations On the eistence and the search method for global solutions Israel 1 1

2 Copright 1 b Solomon I. Khmelnik All right resered. No portion of this book ma be reproduced or transmitted in an form or b an means, electronic or mechanical, without written permission of the author. Published b MiC - Mathematics in Computer Comp. BOX 153, Bene-Aish, Israel, 686 Fa: solik@netision.net.il Printed in United States of America, Lulu Inc., ID First Edition 1, Second Edition 1,.8.1 ISBN

3 Annotation In this book we formulate and proe the ariational etremum principle for iscous incompressible fluid, from which principle follows that the Naiet-Stokes equations represent the etremum conditions of a certain functional. We describe the method of seeking solution for these equations, which consists in moing along the gradient to this functional etremum. We formulate the conditions of reaching this etremum, which are at the same time necessar and sufficient conditions of this functional global etremum eistence. Then we consider the so-called closed sstems. We proe that for them the necessar and sufficient conditions of global etremum for the named functional alwas eist. Accordingl, the search for global etremum is alwas successful, and so the unique solution of Naiet- Stokes is found. We contend that the sstems described b Naiet-Stokes equations with determined boundar solutions (pressure or speed) on all the boundaries, are closed sstems. We show that such tpe of sstems include sstems bounded b impenetworkrable walls, b free space under a known pressure, b moable walls under known pressure, b the socalled generating surfaces, through which the fluid flow passes with a known speed. The book is supplemented b open code programs in the MATLAB sstem functions that implement the calculation method, and test programs. Links to the test programs are gien in the tet of the book to describe eamples. Programs are transmitted b the author on request at solik@netision.net.il 3

4 Brief Introduction about author o Solomon I. Khmelnik o Ph.D. o Actiit - computer engineering, mathematics, electrical engineering, energetics o Published oer 1 articles o Published books o Has more than 5 inentions and patents 4

5 Contents Detailed contents \ 6 Foreword of the Reiewer \ 8 Introduction \ 1 Сhapter 1. Principle etremum of full action \ 13 Chapter. Principle etremum of full action for hdrodnamics \ 3 Chapter 3. Computational Algorithm \ 34 Chapter 4. Bod forces and Boundar Conditions \ 38 Chapter 5. Stationar Problems \ 39 Chapter 6. Dnamic Problems \ 4 Chapter 7. An Eample: Computations for a Mier \ 4 Chapter 8. An Eample: Flow in a Pipe \ 54 Chapter 9. Compressible Fluid \ 71 Discussion \ 7 Supplements \ 74 References \ 11 5

6 Detailed contents Foreword of the Reiewer \ 8 Introduction \ 1 Сhapter 1. Principle etremum of full action \ The Principle Formulation \ Electrical Engineering \ Mechanics \ Electrodnamics \ The power balance of electromagnetic field \ Building the functional for Mawell equations \ Splitting the functional for Mawell equations \ 1 Chapter. Principle etremum of full action for hdrodnamics \ 3.1. Hdrodnamic equations for iscous incompressible fluid \ 3.. The power balance \ 3.3. Energian and quasietremal \ 6.4. The split energian \ 7.5. About sufficient conditions of etremum \ 9.6. Boundar conditions \ Absolutel hard and impenetrable walls \ Sstems with a determined eternal pressure \ Sstems with generating surfaces \ A closed sstems \ Modified Naier-Stokes equations \ Conclusions \ 37 Chapter 3. Computational Algorithm \ 38 Chapter 5. Stationar Problems \ 39 Chapter 6. Dnamic Problems \ Absolutel closed sstems \ Closed sstems with ariable mass forces and eternal pressures \ 43 Chapter 7. An Eample: Computations for a Mier \ The problem formulation \ Polar coordinates \ Cartesian coordinates \ Mier with walls \ Ring Mier \ Mier with bottom and lid \ Acceleration of the mier \ 5 Chapter 8. An Eample: Flow in a Pipe \ 54

7 8.1. Ring pipe \ Long pipe \ Variable mass forces in the pipe \ Long pipe with shutter \ Variable mass forces in the pipe with shutter \ Pressure in a long pipe with shutter \ 67 Chapter 9. Compressible Fluid \ 71 Discussion \ 7 Supplement 1. Certain formulas \ 74 Supplement. Ecerpts from the book of Nicholas Umo \ 8 Supplement 3. Proof that Integral ( ) dv is of Constant Sign \ 88 V Supplement 4. Soling Variational Problem with Gradient Descent Method \ 89 Supplement 5. The Surfaces of Constant Lagrangian \ 9 Supplement 6. Discrete Modified Naier-Stokes Equations \ Discrete Modified Naier-Stokes Equations for stationar flows \ 94. Discrete Modified Naier-Stokes Equations for dnamic flows \ 97 Supplement 7. An Electrical Model for Soling the Modified Naier- Stokes Equations \ 98 References \ 11 7

8 Foreword of the Reiewer I hae 5 ears of eperience in the field of hdrodnamics. In recent ears, the author of the book (m brother) deeloped ariational principles for dissipatie sstems and has formulated the principle etremum of full action. This principle is an etention of the Lagrange formalism, and it takes into account the fact that in real sstems the full energ (i.e. the sum of kinetic and potential energies) decreases with the motion, turning into other tpes of energ, for instance, into thermal energ, which means that there is energ dissipation. Mathematicall it means that for an (as the author thinks) phsical sstem it is possible to build a functional possessing a global saddle line. Thus far he had proed it for electrodnamics, electrical engineering, mechanics. In the presented book the proof of using the deeloped method in hdrodnamics is gien.. It is important to sa that opening the authors of the eistence of global etremum made it possible for the author to deelop a numerical method for such sstems, based on the descend along the functional towards the global optimum. This allows to show theoreticall and practicall that the global solution for Naiet-Stokes equations eists. It should be noted that in his research the author had used essentiall the works of a somewhat forgotten nowadas distinguished scientist Nikola Umo. What is reall amaing, that for realiing the method there is no necessit to add boundar conditions to these equations it is enough to describe the boundaries of the closed domain where the solution is being considered. The boundaries ma be walls or free surfaces. The proof lies in the fact that both of them do not alter the energ of fluid. 8

9 Brief Introduction about reiewer Mihail I. Khmelnik Grand Ph.D., docent Worked as docent and then professor of Phsics, Moscow State Uniersit Press. Honorar Professor of the Krg State Uniersit of Construction, Transport and Architecture. Actiit - phsics, hdrodnamics, filtration theor (the theor of fluid motion in the soil), electrophsics Published oer 1 articles Published book: "Phsics. Guidelines to sole practical problems." Has of the inention Educate students - 6 PhD and Grand Ph.D. 9

10 Introduction In his preious works [6-5] the author presented the full action etremum principle, allowing to construct the functional for arious phsical sstems, and, which is most important, for dissipatie sstems. This functional has a global saddle point, and so the gradient descent to saddle point method ma be used for the solution of phsical sstems with such functional. As the global etremum eists, the solution also alwas eists. The first step in the construction of such functional consists in writing the equation of energ conseration or the equation of powers balance for a certain phsical sstem. Here we must take into account the energ losses (such as friction or heat losses), and also the energ flow into the sstem or from it. This principle has been used b the author in electrical engineering, electrodnamics, mechanics. In this book we make an attempt to etend the said principle to hdrodnamics. In Chapter 1 the full action etremum principle is stated and its applicabilit in electrical engineering theor, electrodnamics, mechanics is shown. In Chapter the full action etremum principle is applied to hdrodnamics for iscous incompressible fluid. It is shown that the Naiet-Stokes equations are the conditions of a certain functional's etremum. A method of searching for the solution of these equations, which consists in moing along the gradient towards this functional's etremum. The conditions for reaching this etremum are formulated, and the are proed to be the necessar and sufficient conditions of the eistence of this functional's global etremum. Then the closed sstems are considered For them it is proed that the necessar and sufficient conditions of global etremum for the named functional are alwas alid. Accordingl, the search for global etremum is alwas successful, and thus the unique solution of Naiet- Stokes is found. 1

11 It is stated that the sstems described b Naiet-Stokes and haing determined boundar conditions (pressures or speeds) on all the bounds, belong to the tpe of closed sstems. It is shown that such tpe includes the sstems that are bounded b: o Impenetworkrable walls, o Free surfaces, находящимися под известным давлением, o Moable walls being under a known pressure, o So-called generating surfaces through which the flow passes with a known speed. Thus, for closed sstems it is proed that there alwas eists an unique solution of Naiet-Stokes equations. In Chapter 3 the numerical algorithm is briefl described. In Chapter 5 the numerical algorithm for stationar problems is described in detail. In Chapter 6 the algorithm for dnamic problems solution is suggested, as a sequence of stationar problems solution, including problems with jump-like and impulse changes in eternal effects. Chapter 7 shows arious eamples of soling the problems in calculations of a mier b the suggested method. In chapter 8 we consider the fluid moement in pipe with arbitrar form of section.. It is shown that regardless of the pipe section form the speed in the pipe length is constant along the pipe and is changing parabolicall along its section, if there is a constant pressure difference between the pipe's ends. Thus, the conclusion reached b the proposed method for arbitrar profile pipe is similar to the solution of a known Poiseille problem for round pipe. In Chapter 9 it is shown tat the suggested method ma be etended for iscous compressible fluids. Into Supplement 1 some formulas processing was placed in order not to oerload the main tet. For the analsis of energ processes in the fluid the author had used the book of Nikola Umo, some fragments of which are sited in Supplement for the reader's conenience. In Supplement 3 there is a deduction of a certain formula used for proing the necessar and sufficient condition for the eistence of the main functional's global etremum. In Supplement 4 the method of solution for a certain ariational problem b gradient descend is described. In Supplement 5 we are giing the deriation of some formulas for the surfaces whose Lagrangian has a constant alue and does not depend on the coordinates. 11

12 In Supplement 6 dealt with a discrete ersion of modified Naier- Stokes equations and the corresponding functional. In Supplement 7 we discuss an electrical model for soling modified Naier-Stokes equations and the solution method for these equations which follows this model. 1

13 Сhapter 1. Principle etremum of full action This principle forms the foundation of the presented theor. It was described in most detailed wa in [, 3]. Here onl the main aspects of this principle are cited, as well as the results of its usage in electrical engineering, electrodnamics, mechanics The Principle Formulation The Lagrange formalism is widel known it is an uniersal method of deriing phsical equations from the principle of least action. The action here is determined as a definite integral - functional t S ( q) = ( K( q) P( q) ) dt (1) t1 from the difference of kinetic energ K (q) and potential energ P (q), which is called Lagrangian Λ ( q) = K( q) P( q). () Here the integral is taken on a definite time interal t1 t t, and q is a ector of generalied coordinates, dnamic ariables, which, in their turn, are depending on time. The principle of least action states that the etremals of this functional (i.e. the equations for which it assumes the minimal alue), on which it reaches its minimum, are equations of real dnamic ariables (i.e. eisting in realit). For eample, if the energ of sstem depends onl on functions q and their deriaties with respect to time q, then the etremal is determined b the Euler formula ( K P) d ( K P) q dt q =. (3) The Lagrange formalism is applicable to those sstems where the full energ (the sum of kinetic and potential energies) is kept constant. The principle does not reflect the fact that in real sstems the full energ (the sum of kinetic and potential energies) decreases during motion, 13

14 turning into other tpes of energ, for eample, into thermal energq, i. e. there occurs energ dissipation. The fact, that for dissipatie sstems (i.e., for sstem with energ dissipation) there is no formalism similar to Lagrange formalism, seems to be strange: so the phsical world is found to be diided to a harmonious (with the principle of least action) part, and a chaotic ("unprincipled") part. The author puts forward the principle etremum of full action, applicable to dissipatie sstems. We propose calling full action a definite integral the functional t Φ( q ) = R( q) dt (4) t1 from the alue R ( q) = ( K( q) P( q) Q( q) ), (5) which we shall call energian (b analog with Lagrangian). In it Q (q) is the thermal energ. Further we shall consider a full action quasietremal, haing the form: ( K P) d ( K P) q dt q Q = q. (6) Functional (4) reaches its etremal alue (defined further) on quasietremals. The principle etremum of full action states that the quasietremals of this functional are equations of real dnamic processes. Right awa we must note that the etremals of functional (4) coincide with etremals of functional (1) - the component corresponding to Q (q), disappears Let us determine the etremal alue of functional (5). For this purpose we shall "split" (i.e. replace) the function q (t) into two independent functions (t) and (t), and the functional (4) will be associated with functional Φ ( t, ) = R(, ) dt, (7) t1 which we shall call "split" full action. The function R (, ) will be called "split" energian. This functional is minimied along function (t) with a fied function (t) and is maimied along function (t) with a fied function (t). The minimum and the maimum are sole ones. Thus, the etremum of functional (7) is a saddle line, where one group of 14

15 functions o minimies the functional, and another - o, maimies it. The sum of the pair of optimal alues of the split functions gies us the sought function q = o o, satisfing the quasietremal equation (6). In other words, the quasietremal of the functional (4) is a sum of etremals o, o of functional (7), determining the saddle point of this functional. It is important to note that this point is the sole etremal point there is no other saddle points and no other minimum or maimum points. Therein lies the essence of the epression "etremal alue on quasietremals". Our statement 1 is as follows: In eer area of phsics we ma find correspondence between full action and split full action, and b this we ma proe that full action takes global etremal alue on quasietremals. Let us consider the releance of statement 1 for seeral fields of phsics. 1.. Electrical Engineering Full action in electrical engineering takes the form (1.4, 1.5), where =, Q( q) = Rq q. (1) Lq Sq K( q) P( q) = Eq, Here stroke means deriatie, q - ector of functions-charges with respect to time, E - ector of functions-oltages with respect to time, L - matri of inductiities and mutual inductiities, R - matri of resistances, S - matri of inerse capacities, and functions K ( q), P( q), Q( q) present magnetic, electric and thermal energies correspondingl. Here and further ectors and matrices are considered in the sense of ector algebra, and the operation with them are written in short form. Thus, a product of ectors is a product of column-ector b row-ector, and a quadratic form, as, for eample, R q q is a product of row-ector q b quadratic matri R and b column-ector q. In [, 3] the author shown that such interpretation is true for an electrical circuit. The equation of quasietremal in this case takes the form: Lq Rq E = Sq. () 15

16 Substituting (1) to (1.5), we shall write the Energian(1.5) in epanded form: Lq Sq R( q) = Eq Rq q. (3) 16 Let us present the split energian in the form ( L S E R ) ( ) R (, ) =. (4) L S E R Here the etremals of integral (1.7) b functions (t) and (t), found b Euler equation, will assume accordingl the form: S L R E =, (5) S L R E =. (6) B smmetr of equations (5, 6) it follows that optimal functions and, satisfing these equations, satisf also the condition =. (7) Adding the equations (5) and (6), we get equation (), where q = o o. (8) It was shown in [, 3] that conditions (5, 6) are necessar for the eistence of a sole saddle line. It was also shown in [, 3] that sufficient condition for this is that the matri L has a fied sign, which is true for an electric circuit. Thus, the statement 1 for electrical engineering is proed. From it follows also statement : An phsical process described b an equation of the form (), satisfies the principle etremum of full action Mechanics Here we shall discuss onl one eample - line motion of a bod with mass m under the influence of a force f and drag force k q, where k - known coefficient, q - bod's coordinate. It is well known that f mq kq =. (1)

17 In this case the kinetic, potential and thermal energies are accordingl: K q mq ( ) =, P( q) = fq, Q( q) = kqq. () Let us write the energian (1.5) for this case: q mq R( ) = fq kqq. (3) The equation for energian in this case is (1) Let us present the split energian as: ( m f k ) R (, ) =. (4) ( ) m f k It is eas to notice an analog between energians for electrical engineering and for this case, whence it follows that Statement 1 for this case is proed. Howeer, it also follows directl from Statement Electrodnamics Introduction It is known [9], that Mawell equations are deducted from the least action principle. For this purpose it is necessar to introduce the concept of ector magnetic potential and formulate a certain functional with respect to such potential and to scalar electrical potential, and this functional will be called action. Then b aring the action with respect to ector magnetic potential and to scalar electrical potential the conditions of this functional's minimum ma be found. Further (after certain reductions) it is shown that this condition (with regard to the potentials) is equialent to equations sstem with respect to electric and magnetic intensities. The obtained equation sstem corresponds onl to four of Mawell equations. It is eident, since the ector magnetic potential and electric scalar potential proide onl four aring functions. But such partial result permits authors to conclude that all Mawell equations (with respect to the intensities) are the consequences of least action principle as the aboe determined functional But all Mawell equations do not follow from this functional! Furthermore, the Mawell equations are dealing with currents in a medium with a certain electroconductiit. As a consequence, there are heat losses, i.e. energ dissipation. It means that, for the sake of the least action principle in addition to electromagnetic energ, the thermal energ should be also included in the functional; but this energ is not a part of Lagrangian. Therefore the Lagrange formalism is in principle not applicable to Mawell equations. 17

18 Thus, the aboe conclusion, which has some cognitie alue, does not demonstrate a triumph of the least action principle. And, all the more, this functional cannot be used for direct solution of technical problems (using the aboe described method of descent along the functional) So it turns out that the Lagrange formalism is insufficient for the deduction of Mawell equations. The matter becomes complicated also because for smmetrical form of Mawell equations (figuring magnetic and electrical charges), an electromagnetic field cannot be described b ector potential that is continuous in all the space Therefore the smmetrical Mawell equations cannot be deducted from ariational least action principle, where the action is an integral of difference between kinetic and potential energies. In this section we present such a functional with respect to intensities, whose first ariations with respect to intensities when the become ero, coincide with Mawell equations with respect to intensities. Then we shall describe the descent method along these ariations, which is equialent to Mawell equations solution. Further instead of the general-action etremum principle with regard to energies we shall discuss the similar general-action etremum principle with regard to powers The power balance of electromagnetic field The equation of electromagnetic field power balance in differential form is well known [5]. It has the following form P Π PEH PQ PC =, (1) where P Π - the densit of power flow through a certain surface, P EH - the densit of electromagnetic power of an electromagnetic field, P Q - the densit of heat loss power, P C - the densit of outside current sources power. Also P Π = di [ E H ] () or, according to a known formula of ector analsis, PΠ = E rot( H ) H rot( E), (3) 18

19 dh de P EH = µ H εe, dt dt (4) P Q = J 1 E, (5) = J E, (6) P C where ε - absolute permittiit, µ - absolute magnetic permeabilit, J 1 - the densit of conduction current, J - the current densit of outside current source. Here and further the three-component ectors dh de H,, E,, J1, J,rot( H ),rot( E) are considered ectors in dt dt the sense of ector algebra. So the operations of multiplication for them ma be written in simplified form. For instance, a product of ectors E rot( H ) is a product of column-ector E b row-ector rot( H ). Let us denote J = J 1 J, (7) P J = PQ PC. (8) J = grad( K ), (9) где K scalar potential. From (5-9) that electric current power P J = E grad( K ). (1) The charges in scalar potential field hae got potential energ. The appropriate power P = ε, (11) ρ Kρ where ρ - distribution densit of summar (free and outside) charges. Let us assume now, that there eist magnetic charges with densit distribution σ and magnetic currents M = grad( L), (1) where L is a scalar parameter. Then b smmetr we should assume that there eists magnetic current power P M = H grad( L), (13) potential energ of magnetworkic charges and the appropriate energ P σ = Lσ µ, (14) where σ - distribution densit of magnetic charges. 19

20 Let us denote also the summar currents power (electric and magnetic) P JM = PJ PM. (15) and the summar charges power (electric and magnetic) P ρσ = Pρ Pσ. (16) Then the equation of power balance of electromagnetic field takes the form PΠ PEH PJM Pρσ =, (18) where the components are determined as (3, 4, 15, 16) accordingl Building the functional for Mawell equations Let us consider a electromagnetic field of olume V, limited b surface S. Full action in electrodnamics has suсh a form T Φ = { PEH PJM Pρσ } dv ΠdS dt, (1) V S Here we hae in mind that the olume densit of power of electromagnetic field P EH is determined from (4), the olume densit of summar power of the currents is determined from (15, 16), and the Pointing ector is Π = E H. () [ ] Here the first component is the electromagnetic field in olume V, the second component is the currents power in olume V, and the third one is instanteous alue of densit of power flow through surface S. According to Ostrogradsk Theorem:: Π = E H. () [ ] Taking regard of formulas (, ), from (1) we get: Φ = or T { PEH PΠ PJM P } d d d dt ρσ (4) T Φ = R ( q(,,, t) d d d dt, (5)

21 where q - the ector of unknown functions ( E, H, K, L), and the Energian for electrodnamics has the form: R( q) = { PEH PΠ PJM P ρσ }. (6) Taking regard of formula (4, 3, 18), we get dh de H rot( E) E rot( H ) µ H εe dt dt R( q) =. (7) Kρ Lσ E grad( K ) H grad( L) ε µ Let us remind that the necessar conditions of etremum for a functional from functions of seeral independent ariables - the Ostrogradsk equations [4] for each function hae the form (p3). Let us consider a ector of unknown scalar functions of four ariables (,,,t): q = [ E, E, E, H, H, H, K, L]. (7в) Let us write the equation of quasietremal for the functional (7) for each i -th component q i of the ector q P JM d P JM,,, [ ] qi a= t da dqi da =. (8) Pρσ P Π P EH qi qi qi The first four components here corresponds to Ostrogradsk equation (p3), and two others are ordinar partial deriaties. Differentiating b unknown functions according to (8), and combining then the three projections into a ector, we get: B ariable E = [ E, E, E ]: de - roth ε = grad( K ) =, (9) dt B ariable H = [ H, H, H ]: dh rot E µ grad( L) =, (3) dt B ariables K, L accordingl, 1

22 ρ σ di =, dih =, ε µ E (31) We ma notice that these equations are smmetrical Mawell equations (for the include also magnetworkic charges, scalar potentials and currents) Splitting the functional for Mawell equations Let us associate with the functional (5) the functional oа split full action T Φ = R( q, q ) d d d dt, (3) Let us present the split energian in the form 1 ( H rot( E ) E rot( H )) 1 ( H rot( E ) E rot( H )) µ dh dh ε de de R ( (33) q, q ) = H H E E dt dt dt dt ( ) K ρ K ( ) ρ E grad K E grad K ε ε L σ L σ H grad( L ) H grad( L ) µ µ Aboe it was proed that the etremals of integral (3) b functions q, q, found from Ostrogradsk equation, are the necessar and sufficient conditions of the eistence of a sole saddle line, and the optimal functions q o, qo, satisfing these etremals, satisf also the condition q o = q o. (34) Adding these etremals, we shall get the Mawell equations sstem (9-31), where q = q o q o. (35) - see (7в). Consequentl, the Statement 1 for electrodnamics is proed.

23 Chapter. Principle etremum of full action for hdrodnamics.1. Hdrodnamic equations for iscous incompressible fluid The hdrodnamic equations for iscous incompressible liquid are as follows []: di ( ) =, (1) where p µ ρ t ( ) ρf = ρ, () ρ = const is constant densit, µ - coefficient of internal friction, p - unknown pressure, = [,, ] - unknown speed, ector, F = [ F, F, F ] - known mass force, ector,,,, t - space coordinates and time. The reminder notations p,, ( ) are repeatedl gien below in Supplement 1... The power balance Umo [5] discussed for the liquids the condition of balance for specific (b olume) powers in a liquid flow. For a non-iscous and incompressible liquid this condition is of the form (see (56) in [1] and Supplement ) P 1 ( ) P5 ( ) P4 ( p, ) =, (3) and for iscous and incompressible liquid - another form (see (8) in [1] and Supplement ) P 1 ( ) P5 ( ) P ( p, ) =, (4) where ρ W P1 =, (5) t 3

24 4 dp d dp P = d dp d P = p dp d dp d dp d dp d dp d dp d (6) 4, (7) 1 dw dw dw P = 5 ρ, (8) d d d W = ( ) (9) p and so on tensions (see (р4) in Supplement 1). Here P 1 is the power of energ ariation, P 4 is the power of work of pressure ariation, P 5 - the power of ariation of energ ariation for direction change, and the alue P 7( p, ) = P5 ( ) P4 ( p, ) (1) is, as it was shown b Umo, the ariation of energ flow power through a gien liquid olume. In [] it was shown, that for incompressible liquid the following equalit is alid dp dp dp d d d dp dp dp = p d d d µ (11) dp dp dp d d d This follows from (р4). From this it follows that P = ( p µ ). (1) or, subject to (6) P = P4 P3 (13)

25 where P = µ 3 (14) - power of change of energ loss for internal friction during the motion. Therefore, we rewrite (4) in the form P 1 ( ) P5 ( ) P4 ( p, ) P3 ( ) =, (15) We shall supplement the condition (15) b mass forces power P6 = ρf. (16) Then for eer iscous incompressible liquid this balance condition is of the form P1 ( ) P5 ( ) P4 ( p, ) P3 ( ) P6 ( ) =. (17) Taking into condition(1) and formula (p1a) let us rewrite (7) in the form P = di ( p) 4, (18) Taking into account (p9a), condition(1) and formula (p1a) let us rewrite (8) in the form P5 = di( W ). (19) From (18, 19) and Ostrogradsk formula (p8) we find: P4 dv = di p dv = ps n ds, () V V ( ) S ( W ) dv = P5 dv = di W n ds (а) V V S or, subject to (р15), P dv = G( dv = W ds. (1) V ( ) 5 ) V Returning again to the definitions of powers (7, 8), we will get ( p) dv = ps n ds, (1а) V S ( ( W ) dv = W n ds (1в) V S or ( G( ) ) dv = W n ds. (1с) V S S n 5

26 .3. Energian and quasietremal For further discussion we shall assemble the unknown functions into a ector q = [ p, ] = [ p,,, ]. () This ector and all its components are functions of (,,, t). We are considering a liquid flow in olume V. The full action in hdrodnamics takes a form T Φ = R ( q(,,, t) dv dt, (3) V Haing in mind (17), let us write the energian (1.5) in the following form R( q) = P1 ( ) P3 ( ) P4 ( q) P5 ( ) P6 ( ). (4) Below in Section 5.7 will be shown see (р8, р15, р18): d P1 = ρ, (5) dt P5 = ρ G( ), (6) where G( ) = ( ). (7) Taking this into account let us rewrite the energian (4) in a detailed form d R( q) = ρ µ p ρ G( ) ρf. (8) dt Further we shall denote the deriatie computed according to Ostrogradsk formula (р3), b the smbol o, as distinct from ordinar deriatie o. Taking this into account (р19), we get d d P1, = ρ ; 3 dt dt o - di( ) 4 5 q ( p) ( P () ) ( P ( q) ) = ; ( P (, G( ) )) = ρ( ) ( P () ) 6 = ρf. = µ ; ; (9) 6

27 In accordance with Chapter 1 we write the quasietremal in the following form: d o P1, dt 5 ( P ( ) ) ( P ( q) ) 3 q 4 =. (3) ( P (, G( ) )) o ( P6 () ) From (9) it follows that the quasietremal (3) after differentiation coincides with equations (1, )..4. The split energian Let us consider the split functions () in the form q = [ p, ] = [ p,,, ], (31) q = [ p, ] = [ p,,, ]. (3) Let us present the split energian taking into account the formula (р18) in the form d d ρ µ ( ) dt dt R( q, q ) = ( di( p ) di( p )). (33) ρ ( G( ) G( )) ρ F( ) Let us associate with the functional (3) functional of split full action T Φ = R( q, q ) dv dt, (34) V With the aid of Ostrogradsk formula (р3) we ma find the ariations of functional (34) with respect to functions q. In this we shall take into account the formulas (р), obtained in the Section 5.7. Then we hae: or = b p, (35) p or = b, (36) b p = di( ), (37) 7

28 d ( ) ρ µ p dt b =. (38) ρ G, G, ρ F X X So, the ector b = [ b p, b ] (39) is a ariation of functional (34), and the condition b = [ b p, b ] = (4) is the necessar condition for the eistence of the etremal line. Similarl, b = [ b p, b ] = (41) The equations (4, 41) are necessar condition for the eistence of a saddle line. B smmetr of these equations we conclude that the optimal functions q and q, satisfing these equations, satisf also the condition q = q. (4) Subtracting in couples the equations (4, 41) taking into consideration (37, 38), we get di ( ) =, (43) d( ) ( ) ( ) ρ µ p p ρ F dt =. (44) ρ,,,, G G G G X X X X For = according to (р14а), we hae G( ) G, G( ) G, = G( ) X X (45) Taking into account (7, 45) and reducing (43, 44) b, получаем we get the equations (1, ), where q = q o q o. (46) - see (, 31, 3), i.e. the equations of etremal line are Naiet-Stokes equations. 8

29 .5. About sufficient conditions of etremum Let us rewrite the functional (34) in the form T Φ = R q, q ) d d d dt q q X,,, t (, (47), are determined b (31, 3), ( ) where ectors = ector of independent ariables. Further onl the functions q ( X ) = [ p ( X ), ( X )] will be aried. Vector b, defined b (39), is a ariation of functional Φ b the function q and depends on function q, i.e. b = b( q ). Here the function q here is fied. Let S be an etremal, and subsequentl, the gradient in it is b s =. To find out which tpe of etremum we hae, let us look at the sign of functional's increment δ Φ = Φ( S) Φ( C), (48) where С is the line of comparison, where b = b с. Let the alues ector q on lines S и С differ b qc qs = q qs = δ q = a b, (49) where b is the ariation on the line С, а a known number. Thus, p S bp q = q S a b = a. (5) b S where b p, b are determined b (35, 36) accordingl, and do not depend on q. If δ Φ = a A, (51) where A has a constant sign in the icinit of etremal b s =, then this etremal is sufficient condition of etremum. If, furthermore, A is of constant sign in all definitional domain of the function q, then this etremal determines a global etremum. From (48) we find ( S) R ( C) = R ( qs ) R ( q ) δr = R or, taking into account (33, 5),, (5) 9

30 δr ( ab ) d d ρ ( ab ) s s dt dt µ s s = s s ρ ρ F s (( ab ) ( ab ) ( )) ( ab ) ( p ) ( p ab ) (( s ab ) G( ) G( s ab )) (( ab ) ) p (53) Taking into account (р1), we get: [ G (, b ) G (, b )] a G( b ) G ( s ab ) = G( s ) a 1 s s. (54) Here (53) is transformed into δ R = R R1a Ra, (55) where R, R1, R are functions not dependent on а, of the form ( ) d d ρ s s dt dt R = µ ( s ( s ) ( )) ( s ( p ) ( ps )), ρ ( G G( )) F( ) s ( ) s ρ s (56) d db ρ b µ ( b s s ( b )) dt dt R = ( b ( p ) ( b ), (57) 1 p ρ( bg( ) ( G1 ( s, b ) G ( s, b ))) ρ F b R = µ b ( b ) ρ G( b ). (58) Now we must find ( δr ) = R (59) a 3

31 This function depends on q. To proe that the necessar condition (4) is also a sufficient condition of global etremum of the functional (47) with respect to function q, we must proe that the integral T Φ = R( q, q ) dv dt (6) a V or, which is the same, the integral T Φ = R dv dt (61) a V is of constant sign. Similarl, to proe that the necessar condition (41) is also a sufficient condition of a global etremum of the functional (47) with respect to function q, we hae to proe that the integral similar to (6) is also of the same sign. Specifing the concepts, we will sa that the Naier-Stokes equations hae a global solution, if for them there eists a unique nonero solution in a gien domain of the fluid eistence. In the aboe-cited integrals the energ flow through the domain's boundaries was not taken into account. Hence the aboe-stated ma be formulated as the following lemma Lemma 1. The Naier-Stokes equations for incompressible fluid hae a global solution in an unlimited domain, if the integral (61, 58) has constant sign for an speed of the flow..6. Boundar conditions The boundar conditions determine the power flow through the boundaries, and, generall speaking, the ma alter the power balance equation. Let us iew some specific cases of boundaries Absolutel hard and impenetrable walls If the speed has a component normal to the wall, then the wall gets energ from the fluid, and full returns it to the fluid. (changing the speed direction). The tangential component of speed is equal to ero (adhesion effect). Therefore such walls do not change the sstem's energ. Howeer, the energ reflected from walls creates an internal energ flow, circulating between the walls. So in this case all the aboestated formulas remain unchanged, but the conditions on the walls (impenetrabilit, adhesion) should not be formulated eplicitl the appear as a result of soling the problem with integrating in a domain bounded b walls. Then the second lemma is alid: 31

32 Lemma. The Naier-Stokes equations for incompressible fluid hae a global solution in a domain bonded b absolutel hard and impenetrable walls, if the integral (61, 58) is of the same sign for an flow speed..6.. Sstems with a determined eternal pressure In the presence of eternal pressure the power balance condition (17) is supplemented b one more component the power of pressure forces work P8 = p s n, (6) where p s - eternal pressure, S - surfaces where the pressure determined, n - normal component of flow incoming into aboe surface, In this case the full action is presented as follows: T Φ = R( q(,,, t) dv P8 ( q(,,, t) dv dt. (63) V S For conenience sake let us consider the functions Q, determined on the domain of the flow eistence and taking ero alue in all the points of this domain, ecept the points belonging to the surface S. Then the restraint (63) ma be written in the form T Φ = R ˆ ( q(,,, t) dv dt, (64) V where energian R ˆ ( q) = R( q) Q P8 ( n). (65) One ma note that here the last component is identical to the power of bod forces in the sense that both of them depend onl on the speed. So all the preious formulas ma be etended on this case also, b performing substitution in them. F F Q p s ρ. (66) Therefore the following lemma is true: Lemma 3. The Naier-Stokes equations for incompressible fluid hae a global solution in a domain bounded b surfaces with a certain pressures, if the integral (61, 58) has constant sign for an flow speed. 3

33 Such surface ma be a free surface or a surface where the pressure is determined b the problem's conditions (for eample, b a gien pressure in the pipe section). p s ma be included in the full action Note also that the pressure functional formall, without bringing in phsical considerations. Indeed, in the presence of eternal pressure there appears a new constraint - (1а). In [4] it is shown that such problem of a search for a certain functional with integral constraints (certain integrals of fied alues) is equialent to the search for the etremum of the of the sum of our functional and integral constraint. More precisel, in our case we must seek for the etremum of the following functional: T Φ = R ( q(,,, t)) dv dt V R( q(,,, t)) Rˆ ( q(,,, t) = λ - p Q p s n ˆ, (67) ( ), (68) where λ an unknown scalar multiplier. It is determined or known initial conditions [4]. For λ = 1 after collecting similar terms the Energian (68) again assumes the form (65), which was to be proed Sstems with generating surfaces There is a conception often used in hdrodnamics of a certain surface through which a flow enters into a gien fluid olume with a certain constant speed, i.e., NOT dependent on the processes going on in this olume. The energ entering into this olume with this flow, eidentl will be proportional to squared speed module and is constant. We shall call such surface a generating surface (note that this is to some etent similar to a source of stabilied direct current whose magnitude does not depend on the electric circuit resistance). If there is a generating surface, the power balance condition (17) is supplemented b another component the power of flow with constant squared speed module. P9 =, (69) где W s n s W - squared module of input flow speed, S - surfaces where the pressure determined, 33

34 n - normal component of flow incoming into aboe surface, One ma notice a formal analog between W s and p s. So here we also ma consider the functional (64), where the energian is R ˆ ( q) = R( q) Q P9 ( n), (7) and then perform the substitution F F Q W s ρ. (71) Consequentl, the following lemma is true: Lemma 4. The Naier-Stokes equations for incompressible fluid hae a global solution in a domain bounded b generating surface with a certain pressure, if the integral (61, 58) has constant sign for an flow speed. Note also that W s the pressure p s ma be included in the full action functional formall, without bringing in phsical considerations.(similar with pressure p s ). Indeed, in the presence of eternal pressure there appears a new constraint - (1c). Including this integral constraint into the problem of the search for functional's etremum, we again get Energian (7) Closed sstems We will call the sstem closed if it is bounded b o absolutel hard and impenetrable walls, o surfaces with certain eternal pressure,, o generating surfaces, or o not bounded b anthing. In the last case the sstem will be called absolutel closed. Such case is possible. For eample, local bod forces in a bondless ocean create such a sstem, and we shall discuss this case later. There is a possible case when the sstem is bounded b walls, but there is no energ echange between fluid and walls. An eample a flow in endless pipe under the action of ais bod forces Such eample will also be considered below. In consequence of Lemmas 1-4, the following theorem is true: Theorem 1. The Naier-Stokes equations for incompressible fluid hae a global solution in a gien domain, if o the domain of fluid eistence is closed, o the integral (61, 58) has constant sign for an flow speed. 34

35 The free surface, which is under certain pressure, ma also be the boundar of a closed sstem. But the boundaries of this sstem are changeable, and the integration must be performed within the fluid olume. It is well known that the fluid flow through a certain surface S is determined as ws = ρ di( ) dθ. (7) S Thus, the boundar conditions in the form of free surface are full considered, b the fact that the integration must be performed within the changeable boundaries of the free surface. We hae indicated aboe, that the power of energ flow change is determined b (1). In a closed sstem this power is equal to ero. Therefore for such sstem the Energian (4) or (8) turns into Energian (accordingl) R q) = P( ) P ( ) P ( ), (73) ( d R ( q) = ρ µ ρf. (74) dt For such sstems the Naier-Stokes equations take the form (1) and µ ρf = t ρ, (75) Some eamples of such sstem will be cited below..7. Modified Naier-Stokes equations From (p19a) we find that ( ) = ( W ). (76) Substituting (76) in (), we get ( ) = ( W ). (77) Let us consider the alue D = p ρ W, (78) which we shall call quasipressure. Then (77) will take the form ρ µ D ρ F =. (79) t The equations sstem (1, 79) will be called modified Naier-Stokes equations. The solution of this sstem are functions, D, and the 35

36 pressure ma be determined from (9, 78). It is eas to see that the equation (79) is much simpler than (). The aboe said ma be formulated as the following lemma. Lemma 5. If a gien domain of incompressible fluid is described b Naier-Stokes equations, then it is also described b modified Naier- Stokes equations, and their solutions are similar. Phsics aside, we ma note that from mathematical point of iew the equation (79) is a particular case of equation (), and so all the preious reasoning ma be repeated for modified Naier-Stokes equations. Let us do it. The functional of split full action (34) contains modified split Energian d d ρ µ ( ) R( q, q ) = dt dt ( ( ) ( )) ( ). (8) di D di D ρ F - see (33). Gradient of this functional with respect to function q is (37) and d b = ρ µ ( D ) ρ F. (81) dt - see (38). The components of equation (55) take the form d db ρ b ( µ b s s ( b )) R = dt dt, (8) 1 ( ( ) ( )) b D bp ρ F b R = µ b ( b ). (83) Thus, for modified Naier-Stokes equations b analog with Theorem 1 we ma formulate the following theorem Theorem. Modified Naier-Stokes equations for incompressible fluid hae a global solution in the gien domain, if o the fluid domain of eistence is a closed sstem o the integral (61, 83) has the same sign for an fluid flow speed. Lemma 6. Integral (61, 83) alwas has positie alue. Proof. Consider the integral T J = µ ( ) dv dt (84) V This integral epresses the thermal energ, eoled b the liquid due to internal friction. This energ is positie not depending on what function connects the ector of speeds with the coordinates. A stricter proof of 36

37 this statement is gien in Supplement 3. Hence, integral (84) is positie for an speed. Substituting in (84) = b, we shall get integral (61, 83), which is alwas positie, as was to be proed. From Lemmas 5, 6 and Theorem there follows a following. Theorem 3. The equations of Naier-Stokes for incompressible fluid alwas hae a solution in a closed domain. The solution of equation (1, 79) permits to find the speeds. Calculation of pressures inside the closed domain with known speeds is performed with the aid of equation (78) or ( ) = p ρ. (85).8. Conclusions 1. Among the computed olumes of fluid flow the closed olumes of fluid flow ma be marked, which do not echange flow with adjacent olumes the so-called closed sstems.. The closed sstems are bounded b: o Impenetworkrable walls, o Surfaces, located under the known pressure, o Moable walls being under a known pressure, o So-called generating surfaces through which the flow passes with a known speed. 3. It ma be contended that the sstems described b Naiet-Stokes equations, and haing certain boundar conditions (pressures or speeds) on all boundaries, are closed sstems. 4. For closed sstems the global solution of modified Naier-Stokes equations alwas eists. 5. The solution of Naier-Stokes equations ma alwas be found from the solution of modified Naier-Stokes equations. Therefore, for closed sstems there alwas eists a global solution of modified Naier- Stokes equations. 37

38 Chapter 3. Computational Algorithm The method of solution for hdrodnamics equations with a known functional, haing a global saddle point, is based on the following outlines [, 3]. For the gien functional from two functions q 1, q two more secondar functionals are formed from those functions q 1, q. Each of these functionals has its own global saddle line. Seeking for the etremum of the main functional is substituted b seeking for etremums of two secondar functionals, and we are moing simultaneousl along the gradients of these functionals. In general operational calculus should be used for this purpose. Howeer, in some particular cases the algorithm ma be considerabl simplified. Another complication is caused b the fact that in the computations we hae to integrate oer all the flow area. But the area ma be infinite, and full integration is impossible. Neertheless, the solution is possible also for an infinite area, if the flow speed is damping. Here we shall discuss onl these particular cases. 38

39 Chapter 5. Stationar Problems Note that in stationar mode the equations (.1,.) assumes the form di( ) =, p µ ρ ( ). ρf =. (1) The modified equations (1, 79) in stationar mode take the form: di( ) =, µ D ρ F =.. () In Appendi 6 we considered the discrete ersion of modified Naier- Stokes equations for stationar sstems (). It was shown that for stationar closed sstems the solution of modified Naier-Stokes equations is reduced to a search for quadratic functional minimum (and not a saddle points, as in general case). After soling these equations the pressure is calculated b the equation (.78), i.e. or p ρ W D =. (3) ( ) = p = D ρ (4) The equation (75) for absolutel closed sstems in stationar mode takes the form µ ρf =. (5) The solution of equation () has been discussed in detail in Supplement 4. After soling it the pressures are calculated b the equation (4). 39

40 Chapter 6. Dnamic Problems 6.1. Absolutel closed sstems Let us consider the equation (.75) for absolutel closed sstems and rewrite is as η F = t (1) where µ η =. () ρ Assuming that time is a discrete ariable with step dt, we shall rewrite (1) as n n 1 η n F n =, (3) dt = 1,,3 n dt where n,... the number of a time point. Let us write (3) as where F η n Fn 1 =. (4) = F n n dt 1 n1. (5) For a known speed n 1 the alue n is determined b (4). Soling this equation is similar to soling a stationar problem see Supplement 4. On the whole the algorithm of soling a dnamic problem for a closed sstem is as follows Algorithm 1 1. n 1 and F n are known. Computing n b (4, 5). 3. Checking the deiation norm 4

41 t n t ε = n 1 (6) and, if it doesn't eceed a gien alue, the calculation is oer. расчет заканчивается. Otherwise we assign n 1 n (7) and go to p. 1. Eample 1. Let the bod forces on a certain time point assume instantl a certain alue there is a jump of bod forces. Then in the initial moment the speed o =, and on the first iteration we assign n 1 =. Further we perform the computation according to Algorithm Closed sstems with ariable mass forces and eternal pressures Consider the modified equation (1, 79) in the case when the mass forces are sinusoidal functions of time with angular frequenc ω. In this case equation (1, 79) take the form of equations with comple ariables: di( ) =, j ω ρ µ D ρ F =,. (8) where j - the imaginar unit. In Supplement 6 considered a discrete ersion of such equations. It was shown that their solution reduces to finding a saddle point of a function of comple ariables. After soling these equations, the pressure is calculated b equation (4). 41

42 Chapter 7. An Eample: Computations for a Mier 7.1. The problem formulation Let us consider a mier, whose lades are made of fine-mesh material and are located close enough to one another. Then the pressure forces of the blades on the fluid ma be equated to bod forces. The bod forces might hae a limited area of action Θ (less than the fluid olume) It mean onl that outside this area the bod forces are equal to ero. In addition, these forces ma be a function of speed, coordinates and time. Let us discuss some cases. For eample, the blades of a mier work in a closed fluid olume Θ, and the force F m, applied to the blades, is passed to the fluid elements. The bod force F ma be determined as F m = ( µ ρf ) dθ. Θ Let us assume also that the mier is long enough, and so in its middle the problem of calculation of the field of speeds ma be considered as a two-dimensional problem. Let us first consider a structure without walls. In such a problem there is no restraints, and so the sstem is a closed one (in the sense that was defined aboe). Let us use for our calculations the method described in Chapter 5. Let us assume that the bod forces created b mier's blades and acting along a circle with its center in the coordinate origin, are described as follows σ ( ) ( R a F R = e ), (1) where R is the distance from the current point to the rotation ais, σ, a are certain constants. Function (1) is shown on Fig. 1, and gradient of forces (1) is shown on Fig.. 4

43 Fig Fig.. 43

44 7.. Polar coordinates If bod forces are plane and do not depend on the angle, then the Naiet-Stokes equations assume the form []: r 1 p ρ r = 1 F µ r r r r, () ρ. (3) = Interestingl enough in this sstem the equation for the calculation of pressure using speed is etracted from the main equation. Phsicall it ma be eplained b the fact that our sstem is absolutel closed (in the determined aboe sense). It confirms our assertion that speed calculation and pressure calculation in a absolutel closed sstem ma be parted. The condition of continuit in this sstem is also absent, which also corresponds with our statement for absolutel closed sstem. Thus, as the pressure in this case is not included into equation (3), the latter cannot be soled independentl, and the pressure ma be found afterwards b direct integration of the equation (). But the equation (3) ma not be soled b direct integration. Indeed, depending on the direction of integration (from infinit to ero or ice ersa) the results will be quite different. When integrating "from the ero:" the result depends on initial alues of speed and on its deriatie, which are not determined b the problem's conditions. Neertheless, the unique solution should eist, and it ma be obtained b the proposed method. To achiee it, we must better return to Cartesian coordinates Cartesian coordinates Projections of forces (1) on coordinate aes are F F R = e R σ (, ) ( R a = e ) σ (, ) ( R a ), (4a). (4b) The equation for this absolutel closed stationar sstem is as follows: µ ρf =, (5) 44

45 To sole the equation (5) use the method described aboe in Chapter 5. This method is realied in the program testpostokpuas (mode=1), which builds the following graphs 1. Logarithm of relatie mistake function ( ε 1 = µ ρf ) dd ( ρf ) dd (7),, of the residual of equation (.7) in dependence of iteration number see the first window on Fig 3;. Logarithm of relatie mistake function d d ( ) dd ε = di( ) dd d d (8),, - of the residual in the continuit condition in dependence of iteration number see the second window on Fig. 3; note that this mistake is a methodic one it is caused b boundedness of the surface of integration plane and decreases with the surface etension; 3. speed function R (on the last iteration) in dependence of radius see the third window on Fig 3; thus, this Figure shows the problem solution; 4. force function ρ F and Lagrangian function µ in dependence of radius see the fourth window on Fig 3, where these functions a denoted b dot line and full line accordingl. The calculation was performed for σ =.1, a = 5, µ = 1, ρ = 1, n = 35, where n n - the dimensions of the integration domain The dimensions are chosen large enough, so that the speed on a large distance from center would be close to ero, and thus the sstem ma be considered absolutel closed. Here ε 1 =.1, ε =.7, k = 86, where k is the number of iterations. 45

46 testpostokpuas -3.5 Error Neprer Er-g,L-r Fig Mier with walls Contrar to the preious case (in Cartesian coordinates we shall now consider a mier with clindrical walls, located on the circle with radius R s. We hae shown aboe that the walls create a closed sstem and do not change the power balance in the sstem. In essence, the calculation is done in the same wa, b (5.) and the program testmiermodif, mode=, as in the preious case. The integration area is restricted b the circle with radius R s. Calculation results are shown on Fig. 4. In this case 11 ε1 = 5 1, ε =.6, k = 7, R s =. It is important to note that on the circle of radius R s the speed is =. This answers the known fact that due to icious friction the speed of fluid on the surface of a bod surrounding it, is equal to ero. It is also important to note that to get this result we had not hae to add more equations in the main equation - it was enough to restrict the integration domain. 46

47 Error testmiermodif Neprer Er-g,L-r Fig Ring Mier Let us consider now a mier with internal and eternal clindrical walls, located on circles correspondingl with radius R 1 and R. Fig. 4а shows the result of computation b (5.), b the program testkolomodif, ariant=,, which has built the following graphs: 1. function (.7) see the first window;. function (.8) see the second window; 3. the speed function R depending on radius see the third window; 4. the speed module function depending on Cartesian coordinates see the fourth window. The calculations hae been made for σ =.1, a = 5, µ = 1, ρ = 1, r = 33 and R 1 = 3, R = 7. 4 We got ε 1 = 4 1, ε =.8, k = 5. 47

48 -4 testkolomodif Neprer Error Iterations Iterations r Fig. 4а. testkolomodif Neprer Error Iterations Iterations r 1 Fig. 4в

49 Fig. 4с. Fig. 4d. 49

50 In the similar wa we shall consider a mier where interior part has the form of a square with half-side of R 1. Fig. 4в shows the result of calculation b (5.), b the program testkolomodif, ariant=1. We got ε 1 =.45, ε =.43, k = 5. Fig. 4c and 4d show the speed gradient distribution for a round and square interior parts accordingl Mier with bottom and lid O Hi 3 6 Hs Hm O 7 Rs Ri 1 Fig. 5. Let us consider now a mier with bottom and lid see Fig. 5, where (9,1,11,1) unlimited integration domain,, 5

51 (,3,6,7) the area of mier's blades, (1,8) the mier's bottom, (4,5) the mier's lid, (1,4; 5,8) the mier's clindrical wall, o - the ais passing along the diameter through the mier's center, o - the ais passing along the rotation ais of mier's blades, R s - the radius of mier's can, R i - the radius of initial integration domain, H s - half-height of the mier's can, bounded b bottom and lid, H m half-height of mier's blades, H i - half-height of initial integration domain. Bottom, lid and walls of the can create a closed sstem and do not change the power balance in the sstem. The calculations are performs eactl as in the preious case. The calculations results are shown on Fig. 4. It is important to note that on the circle of radius R s, along the bottom and along the lid the speed is = - see further. This answers the alread mentioned fact that due to iscous friction the fluid's speed on the surface of a bod surrounded b the fluid, is alwas equal to ero. It is significant that to get this result it was no need to add an more conditions to the main equations it was enough to restrict the integration domain in the course of calculations. The calculations were performed b the program testmiermodif3 (mode=1), which has built the following graphs: 1. the function (.7) see the first window on the first ertical line on Fig 6;. the function (.8) see the second window on the first ertical line on Fig 6; 3. the function of speed R depending on radius see the first window on the second ertical line on Fig 6; 4. the function of speed R depending on the distance along the height up to the mier's center for constant alue of radius equal to a see the third window on the second ertical line on Fig 6; the rectangle in this window depicts the force action area; 5. the function of force ρ F and function of Lagrangian µ depending on radius see the fourth window on Fig. 6, where these functions are depicted b dot line and full line accordingl. 51

52 The calculations were performed for: σ =.1, a = 5, µ = 1, R R = 15, H = 15, H = 3, = 35, s i m s We got ε 1 =.4, ε =.4, k = 133. i H = 7, r = testmiermodif3 Error1 Error iterrations (r) =f(),f=f() F, Lap Fig r 7.7. Acceleration of the mier In Section we hae discussed the case of stead-state moement of the fluid in the mier. Now we shall consider the period of acceleration, assuming (as in Eample 1 in Section 6.1), that the bod forces in a certain moment instantl assume a certain alue there occurs a jump of bod forces.. Then in the first moment ( 1) = and on the first iteration we assume ( 1) =, and then we calculate the transient process according to algorithm 1 from Section 6.1. This algorithm is realied in the program testragonmier, which builds the following graphs (see Fig. 8): 1. the speed function with radius 5.. the relatie residual function (6.4); 3. the relatie diergence from ero function.

53 The computation was performed for the conditions taken in Section, i.e. σ =.1, a = 5, µ = 1, ρ = 1, n = testragonmier; dnamic t Error.15 Neprer Fig

54 Chapter 8. An Eample: Flow in a Pipe 8.1. Ring pipe We shall begin with an eample. Let there be a ring pipe with rectangular section see Fig. 1, where o is center of construction, s center of rectangular pipe section, R the distance from o ais of the ring to a certain point of pipe section measured along the ais o; also the Figure shows the main dimensions of the construction and the directions of Cartesian coordinates aes. O O ro Ro Zo r R O s o Fig. 1 Such ring pipe is a closed sstem. Let us assume that in this sstem the bod forces directed perpendicularl to the section plane of the pipe are in effect. Such forces do not depend on the coordinate and are defined b formulas 54

55 F (, ) = Fo R F (, ) = Fo R,, =,, (1),. () ( ) F. (3) The definitional domain of bod forces is the interior of the pipe. At this FR ( R, ) = ( F (,, ) ) ( F (,, ) ) (5) or F R ( R, ) = 1. (6) The calculation is performed b program testmiermodif3 (mode=) and, in accordance with Chapter 5, in two stages: the speed was calculated b the equation (5.), and the pressure deriaties b equation (5.3) for gien speed. The following initial data was used: F o =, ρ = 1.7, µ =.7, ro = 1, o = 11, R o = 17. The calculations were performed for ( ) ( R, ) ( (,, ) ) (,, ) R =, (7) ( R, ) dp(,, ) dp(,, ) dp dr = d d. (8) Let us further denote the distance from a point in the section to the center of the section along ох ais as r = R R o. (9) The calculations results are shown on Fig.. as follows: 1. function (7..7) see first window on the first ertical;. function (7..8) see the second window on the first ertical 3. the speed function R depending on radius and on the coordinate for constant =, = see the first window on the second ertical; 4. the speed function R the center of the pipe section with constant radius depending on the distance b height to R o see the second window on the first ertical; 55

56 5. the pressure deriatie function dp dr depending on the radius see the second window on the second ertical. 5 testmiermodif3, mode= Error1 Error iterrations (r) r 6 =f(),f=f() p Fig r The mentioned calculation (see the first window) shows that this speed satisfies equation (5.). It is important to note that the solution obtained b the proposed method without indicating the initial conditions, knowing onl the domain of the flow eistence. Distribution of speeds ( R, ) along the pipe section drawn b the plane = is shown on Fig.. 3. The same function depending on the coordinates of one pipe section will be denoted as ( r, ) or Π ( r, ). From (5.) it follows that this function has a constant alue of Lagrangian on its definition domain the pipe section. We shall call such functions functions of constant Lagrangian. Since for each form of section these functions hae different form, we shall denote the function ( r, ) for a rectangular section as п( r, ). 56

57 testmiermodif s Fig. 3. Важно отметить, что это решение получено предложенным методом без указания начальных условий, а только с указанием области существования течения. Zero alues of speed on the pipe walls appeared as the result of computations. Распределение скоростей ( R, ) по сечению трубы, проведенному по плоскости =, показано на фиг Long pipe Here we shall discuss flow in a infinitel long pipe of arbitrar profile in which bod forces are in action. Let us mark a certain segment of this pipe and assume that the section forms and speeds on both ends of the segment are similar. Then instead of this segment we ma consider an equialent sstem of such segment where the ends are connected in such wa that the fluid flow from, sa, the left end flows directl into the right end. Such sstem is a closed one and we can use the proposed method for its calculation. Eidentl, the flow in eer part of an infinitel long pipe coincide with the flow in the built sstem. For eample, let us look at a "connected" in the described wa segment of pipe of the length o, where constant bod forces F o are 57

58 acting, directed along the pipe's ais o. Let also the pipe's section is determined in coordinates (, ) and is a square with half-side n, and the following alues are known: F o = 1, ρ = 1, µ = 1, n = 13, o = testdawlemodif (mode=) Error iterrations -1 - L(,) (,) - - F; -L 1.5 -, =, =1 Fig. 3. This sstem is absolutel closed, because the fluid does not interact with the walls. The computation is performed according to (5.5). The result of calculation using the program testdawlemodif (mode=) are depicted on Fig 3, where the following functions are shown: 1. function (.7) see the first window on the first ertical,. function of speed (, ) for constant see second window on the first ertical, 3. Lagrangian function µ in dependence of coordinates (, ) of the section for constant see the first window on the second ertical, 4. functions ρ F and Lagrangian µ depending on with = and with constant see the second window on the 58

59 second ertical where these function are depicted b straight and broken lines accordingl. The speed diergence and the pressure gradient are equal to ero. Thus, for constant bod force the pressure in a linear pipe is constant. From (5.5) it follows that for constant bod force the Lagrangian also has a constant alue on all pipe section, ecluding the boundaries, where the force and the Lagrangian eperience a jump see Fig. 3. The function of speed distribution on the pipe section, which corresponds to the constant Lagrangian, is shown on Fig. 3. We shall call such functions the functions of constant Lagrangian. As for each form of pipe section the functions are different, we shall denote the function (, ) for a rectangular section as п(, ). So, on a rectangular section of a pipe the speeds are distributed according to the function п( r, ) with a constant Lagrangian. In Supplement 5 it is shown that elliptic paraboloid is also a function with constant Lagrangian. Therefore, in a similar wa we ma proe that on an elliptic section of ring pipe the speeds are distributed according to a function э( r, ) of elliptic paraboloid.. In particular, the speeds on a circular section of ring pipe are distributed according to paraboloid of reolution function. Let us consider now another mode of flow in pipe; we shall call this mode a conjugated mode (with regard to the aboe considered mode). In this mode the bod forces are absent, but beside the pressure p there eists a certain additional pressure p f. If p f = ρ F, (1) then the equation (5.5) ma be substituted b equation p f µ =. (13) From (1) there also follows that the gradient has a constant alue in the direction perpendicular to the pipe section, i.e. dp p f = (14) d and dp = µ (15) d or 59

60 dp = ρ F o (16) d Thus, in a pipe the speed along the pipe is distributed according to the function п( r, ) of a constant Lagrangian, if onl the pressure is constant on all the points of the pipe section, and is changing uniforml along the pipe. The difference of pressures between two pipe sections spaced at a distance L, is equal to dp p 1 p = L (17) d and, taking into account (15), p1 p = µ. (18) 6 L Eidentl, the same conclusion ma be reached regarding an part of a pipe. Therefore, The speed in a part of the pipe with rectangular section is constant along the pipe and is changing on the section according to function п( r, ), if there eists a constant difference of potentials on the ends of the pipe. If the analtical dependence is known: п(, ) = п f (, ), (19) then, as it follows from (18), п p (, ) 1 p = L µ f (, ). () In a similar wa we ma get the function э( r, ) of speed distribution in a pipe with elliptic section, and, particularl with a circular section. In this case there eists an analtical dependence of the form (19), namel dependence (c16) see Supplement 5. Specificall, for circular section it has the form (с), and then the formula () becomes: p () 1 p r = ( r ( r ) k o 4L µ. (1) where o r is the radius of circular pipe section. The latter formula coincides with the known Poiseille formula []. This ma sere as an additional confirmation of the proposed method applicabilit.

61 In the same wa we ma calculate the flow in a pipe of arbitrar section and/or in a pipe bent in arbitrar wa (if onl the form of sections and speeds on both ends of the segment are the same). Thus, an infinite sstem is formall transformed into a closed sstem Variable mass forces in the pipe Here we assume that in a long pipe are massie forces, aring sinusoidall in time. Then, to calculate the rate can appl equation (6.8) and the method of their solution, specified in Supplement 6. In Fig. 3a and Table 1 shows the results of the calculation b program testdawlemodiftime (mode = ) at Fo = 1, ρ = 1, n = 13, o = 7 and seeral alues of ariables µ, ω. In Fig. 3a shows the functions of oer the pipe section when = distribution of speed, and in the Table 1 - the alues of the amplitudes of speed and the cosine of the phase-shift sinusoidal speed of the sine mass forces at the point = 1, = 1. You can see that at high frequenc function distribution of speed of the pipe section tends to a constant at all points of the section, with the eception of the contour section, where it is alwas ero. Howeer, the amplitude of the speed decreases significantl. Table 1. Variant µ ω Amplitude Сosine

62 om=,mu=1 - - om=1,mu= om=1,mu=1 - - om=1,mu=1 - - Fig. 3а Long pipe with shutter Here we shall discuss the flow in an infinitel long pipe with square section with square side n, in which an absolutel hard cube with halfside R o is placed. As in the preious case, we shall consider a "connected" pipe segment of length o, where constant bod forces F, are acting, directed along ais o see Fig. 4. Let also the pipe o section be defined in coordinates (, ) and be a square with half side n, and also the following alues are known F o = 1, ρ = 1, µ = 1, µ = 1, r = 39, n = 7, o = 57, Ro = 4. 6

63 Fo n Ro o Fig. 4. This sstem is closed, and in it the fluid interacts with the cube's walls. The calculation is performed according to (5.). The ruslts of calculation with the aid of program testdawlemodif (mode=5) are presented on Fig.. 5, 6, 7. The alues obtained are: ε 1 =.35, ε =.6, k = 9. On Fig. 4 the ertical lines (-6,-5,-4,-3) are drawn, passing through the centers of sections distant b (-6,-5,-4,-3) from the cube's center.. Fig. 5 shows distribution of speeds b these sections, and Fig. 6 shows distribution of speeds b the same sections. Fig. 7 shows distribution of speeds and b the ais of these sections for fied alue of =. These figures permit to gie a picture of speeds distribution when flowing around the cube under the influence of bod forces in an infinitel long pipe. 63

64 4 4 (,), = (,), = (,), = (,), = Fig (,), = (,), = (,), = (,), = Fig

65 (), =na, =-3,4,5, (), =na, =-3,4,5,6 Fig Variable mass forces in the pipe with shutter Here we are, as in section 8.3, suppose that in a long tube with a shutter are massie forces, aring sinusoidall in time. Then, to calculate the rate can appl equation (6.8) and the method of their solution, specified in Supplement 6. In Fig. 7a, 7b and Table 1 shows the results of the calculation b program testdawlemodiftime (mode = 5) at Fo = 1, ρ = 1, n = 13, o = 3 and seeral alues of ariables µ, ω. In 7a, 7b shows the functions of distribution of speeds and oer the pipe section when =, and in the Table 1 - the alues of the amplitudes of speeds ( 1, 1,) and ( 8, 8, 6) the cosine of the phase-shift sinusoidal speed of the sine mass forces at the point = 1, = 1. You can see that at high frequenc function distribution of speed of the pipe section tends to a constant at all points of the section, is not engaged shutter, ecept for points section and shutter, where it is alwas ero. Howeer, the amplitude of the speed decreases 65

66 significantl. The amplitude of the speed increasing frequenc. also decreases with om=,mu=1 - - om=1,mu= om=1,mu=1 - - om=1,mu=1 - - Fig. 7а om=,mu=1 - - om=1,mu= om=1,mu=1 - - om=1,mu= Fig. 7в.

67 Table. Variant µ ω Amplitude Сosine Amplitude Сosine Pressure in a long pipe with shutter Let us return to the eample in section 8.4 and anale the distribution of pressures in a pipe with shutter. For this purpose we shall anale the following alues: - quasipressure see (18) in Appendi 6 or D = r di( ) ; (1) - gradient of quasipressure, as deriaties of (1) or b (.77), i.e. D = µ ρf. () - gradient of dnamic pressure see (р19d) or ( P d ) = ρ G (3) or, taking into account (р19a, p19c, p19d), ρ ( P d ) = ( W ) = ρ G ; (4) - gradient of pressure see (.78) or ρ p = D W, (5) or, taking into account (4), ( ) p = D ρ G. (6) Furtherfore, we shall calculate aerage alues b pipe's section dp p mid = (, ), dg d G mid = (, ), mid d mid dd D mid = (, ) for a fied alue of, and also aerage alue d mid of pressure P = p d mid. min 67

68 dp,g,d,p() dp(),g(),d() dp() dp() ; == , ==-11(k), ==9(g) Fig , =1, =1(b); 19(r) On Fig 8, that shows 1. functions p mid, Gmid, Dmid, P of see the first window on the first ertical ;. functions p, G, D of for fied alues of = = 9 see the first window on the second ertical ; 3. functions p of for fied alues of = = 9 (the upper cure) and = = 11 (the lower cure) see the second window on the first ertical ; 4. functions p of for fied alues = 1 and = 1 (the upper cure) and = 19 (the lower cure) see the second window on the second ertical. 68

69 P(,), =1 - - P(,), = P(,), =5 - - P(,), = = 6 Fig. 9. dp d Fig. 9 shows distribution functions (, ) 4 for fied alues of One ma notice the following:. 1) Quasipressure is equal to ero (a closed sstem!). ) Aerage pressure gradient b eer section is equal to ero. 3) Difference of pressures, as an integral of pressures gradient on the ends of the pipe are equal to ero, i.e. ma pd =. (7) min 4) The distribution of pressure gradient b the pipe's section is irregular. 5) The proposed method permits to calculate the pressure distribution in the pipe with shutter for gien bod forces. We must note that the precision of calculation increases with the etension of the pipe's segment length, due to the fact that as the distance between the segments ends and the shutter grows, the dependence of speeds distribution on the ends decreases, and the distributions themseles 69

70 7 become equal this same assumption is made when we "connect" the ends of infinite pipe. Let us now consider the case when the bod forces are absent, but there is a difference between pressures on the ends of the segment. In the aboe treated problem the equation of the tpe (5.1) has been soled. We shall now rewrite the last of equations as p µ ρg ρf =. (8) Let us perform a substitution ρ F p, (9) and call the alue p a force pressure.. Then the equation (8) will take the form ( p ) µ ρg =. (1) Here p = p p. (11) We hae: ma p d = L F, (1) min where L - length of the pipe. From this and from (7) it follows that the solution of equation (1) satisfies the constraint ma p d = δp, (13) min where δ P = L F (14) - the known pressures difference on the pipe ends. Consequentl, the solution of equation (8) is also solution of equation (1) with constraint (13). But it was shown aboe that the solution of modified equations (1, 77) is unique. Therefore, the solution of equation (8) alwas is the solution of equation (1) with constraint (13). So, the solution of equation (1) with constraint (13), i.e. calculation of speeds in a pipe with shutter and pressures difference of the pipe's ends, ma be substituted b solution of equation (8), where F = δp L. (15) For breit sake we hae omitted here to mention that the equations (8) and (1) should be soled together with the equation (.1).

71 Chapter 9. Compressible Fluid The equations of hdrodnamics for iscous compressible fluid hae the following form []: where ( ρ ) ( ρ ) ( ρ ) ρ = t ρ p µ ρ ρf µ Ω t 3 Ω () =, (1) ( ) () = ( di( ) ) ( di( ) ) ( di( ) ),, = ( ), (). (3) We ma consider also barotropic fluid, for which ρ = kp. (4) For such fluid the equations (1, ) are transformed into form p k t kp p t ( p ) ( p ) ( p ) = µ kp kpf Ω 3, (5) ( ) () = µ. (6) In these cases we must consider also the power of energ loss ariation under distension\compression due to the friction P8 ( ) = µ Ω( ). (7) 3 We hae also: µ 3 ( P ( ) ) = Ω( ) 8. (8) It is eident that the function Ω () in this contet behaes similarl to the function (). This allows us to use the proposed approach to compressible fluid. 71

72 Discussion Phsical assumptions are often built on mathematical corollar facts. So it ma be legitimate to build mathematical assumption on the base of phsical facts. In this book there are seeral such places 1. The equations are deried on the base of the presented principle of general action etremum.. The main equation is diided into two independent equations based on a phsical fact the absence of energ flow through a closed sstem. 3. The eclusion of continuit conditions for closed sstems is based in the phsical fact the continuit of fluid flow in a closed sstem 4. Usuall in the problem formulation we indicate the boundaries of solution search and the boundar conditions for speed, acceleration pressure on the boundaries These conditions usuall are formed on the base of phsical facts, for eample the fluid "adhesion" to the walls, the walls hardness, etc. In the presented method we do not include the boundar conditions into the problem formulation the are found in the process of solution. The solution method consists in moing along the gradient towards saddle point of the functional generated from the power balance equation. The obtained solutions: a. ma be interpreted as eperimentall found phsical effects (for instance, the walls impermeabilit, "sticking" of fluid to the walls, absence of energ flow through a closed sstem), b. coincide with solutions obtained earlier with the aid of other methods (for instance, the solution of Poiseille problem), c. ma иe seen as generaliation of known solutions (for instance, a generaliation of Poiseille problem solution for pipes with arbitrar form of section and/or with arbitrar form of ais line), d. belong to unsoled (as far as the author knows) problems (for instance, problems with bod as the functions of speed, coordinates and time). 7

73 We ma point also some possible directions of this approach deelopment, for eample i. for compressible fluids, ii. iii. for problems of electro- and magneto-hdrodnamics for free surfaces dnamics (in changing boundaries for constant fluid olume). The proof of global solution eistence belongs to closed sstems Practicall, we must anale the bounded and closed sstems. Therefore aboe we hae discussed some methods of formal transformation of non-closed sstems into closed ones, such as: 1. long pipe as the limit of ring pipe,. transformation of a limited pipe segment into closed sstem At the same time it must be noted that the solution method has not been treated here on a full scale we considered onl special cases of stationar flows and changing with time flows. 73

74 74 Supplement 1. Certain formulas Here we shall consider the proof of some formulas that were used in the main tet. First of all we must remind that () = di, (р1) ( ) ( ) Q Q Q di di =, (р1а) = p p p p,,, (р) =, (р3) =, (р4) ( ) =, (р5) ( ) =. (р6) From (.5,.7а) it follows that ( ) 1 dt d P = ρ, (р7)

75 75 i.e. dt d P ρ = 1 (р8) Let us consider the function (.7) or ( ) ( ) ( ) = 5 1 d d d d d d P ρ (р9) or ( ) 5 W P = ρ. (р9а) Differentiating, we shall get: = d d d d d d d d d d d d d d d d d d P ρ 5. (р1) After rearranging the items, we get = d d d d d d d d d d d d d d d d d d P ρ 5. (р11) Let us denote:

76 76.,, = = = d d d d d d g d d d d d d g d d d d d d g (р1) Let us consider the ector = g g g G (р13) or. = G (р14) Note that ) ( ) ( 1 G G = (р14а) From (р11-р14) we get 5 G, P = ρ (р15) ( ) ) ( ) (, 5 G G P = ρ, (р16) Comparing (р6) and (р14), we find that ( ) G =. (р18) Thus, ( ) ( ) G P = ρ, 5, (р19) Comparing (p9a, p15, p18), we find that

77 77 ( ) ( ) W =. (р19а) Since the dnamic pressure is defined as [] P d ρw =, (р19с) then from (R18, r19a) that the gradient of dnamic pressure ( ) G P d = ρ. (р19д) Let us consider also ( ) ( ) b G b G b G G b G,, ) ( ) ( ) ( 1 =, (р) where ( ),, 1 = b b b b b b b b b b G (ра) ( )., = b b b b b b b b b b G (рв) If b a b =, then ( ) ( ) b ag b ag b G a G b a G,, ) ( ) ( ) ( 1 =. (р1) We hae dt d dt d o =, dt d dt d o =, ( ) o =, ( ) ( ) = X G G o,, ( ) ( ) ( ) G G o =,

78 o p di p ( ( p )) = ( p ), o ( ( p )) = ( ) di. o di ( p ) = ( p ), o ( p ) = di ( ) -see (р1а). (р) The necessar conditions for etremum of functional from the functions with seeral independent ariables the Ostrogradsk equations [4] hae for each of the functions the form o f f f = =, (р3) a=,,, t a ( d da) where f the integration element, (,,,t) the ariable function, a independent ariable. The tensions (in hdrodnamics) are determined in the following wa []: p p, p p, p p = µ = µ = µ, p = p =, µ p = p = µ, p = p = µ. (р4) Let us consider formulas d = p p p, d = p p p, d = p p p. (р5) From (р4, р5) we find d = p µ, 78

79 79 = p d µ, = p d µ. (р6) From this it follows that the double integral in formula (81) in [1] and in Supplement ma be presented in the following form ( ) ( ) () ( ) () ( ) = J p n J p n J p n d J cos cos cos σ. (р7) The Ostrogradsk formula: integral of diergence of the ector field F, distributed in a certain olume V, is equal to ector flow F through the surface S, bounding this olume: ( ) = S V ds n F dv F di. (р8)

80 8 Supplement. Ecerpts from the book of Nicholas Umo

81 81

82 8

83 83

84 84

85 85

86 86

87 Supplement 3. Proof that Integral ( ) dv is of Constant Sign V Here we shall consider in detail the substantiation of the fact that integral (.84) alwas has positie alue. In other words we shall proe that the integral is of constant sign. J = ( ) dv 1. (1) V Let us first consider the two-dimension case. Let us substitute the Laplacian b its discrete analog. To do this we shall take a twodimensional speeds network k, m, where m = 1, n - the number of point on the ais ОХ, k = 1, n - number of point on tee ais ОУ. The alue of discrete Laplacian in each point is determined b formula (see, for eample, the function DEL in MATLAB): 1 Lk, m = ( k, m 1 k, m 1 k 1, m k 1, m ) k, m. () 4 According to this the discrete Laplacian ma be found b the formula L = A, (3) where row ector 1,1,..., 1, m,..., 1, n,,1,...,, m,...,, n,... =, (4) k,1,..., k, m,..., k, n,... n,1,..., n, m,..., n, n, and А is a matri built according to formula (). For illustration Fig 1 shows matri А for n = 5, built according to formula () see for eample, [7]. This Figure shows also the numbering of ector k, m 87

88 elements. According to formula (3) the Laplacian also is presented in the form similar to (4). The discrete analog of integral (1) is T J1 = A. (5) To erif that the matri А is of constant sign, let us find for it the Kholetsk epansion T A = U U, (6) where U is the upper triangular matri. It is known [8], that if matri а A is smmetrical and positiel defined, then it has a unique Kholetsk epansion. The program testmatri.m computes epansion (6) and shows that matri A is smmetrical and positiel defined. It means that for an ector T A >. (7) Thus, it is proed that the alue (5) in two-dimensional case is positie. Decreasing the network spacing, in the limit we get that the integral (1) in two-dimensional case has positie alue. In the same wa it ma be shown that in three-dimensional case integral (1) is positie, which was to be proed. Fig

Navier-Stokes equations

Navier-Stokes equations Solomon I. Khmelnik Naier-Stokes equations On the eistence and the search method for global solutions Second edition Israel 11 Copright 11 b Solomon I. Khmelnik All right resered. No portion of this book

More information

An example of Lagrangian for a non-holonomic system

An example of Lagrangian for a non-holonomic system Uniersit of North Georgia Nighthaks Open Institutional Repositor Facult Publications Department of Mathematics 9-9-05 An eample of Lagrangian for a non-holonomic sstem Piotr W. Hebda Uniersit of North

More information

Transformation of kinematical quantities from rotating into static coordinate system

Transformation of kinematical quantities from rotating into static coordinate system Transformation of kinematical quantities from rotating into static coordinate sstem Dimitar G Stoanov Facult of Engineering and Pedagog in Sliven, Technical Universit of Sofia 59, Bourgasko Shaussee Blvd,

More information

Functions of Several Variables

Functions of Several Variables Chapter 1 Functions of Several Variables 1.1 Introduction A real valued function of n variables is a function f : R, where the domain is a subset of R n. So: for each ( 1,,..., n ) in, the value of f is

More information

Fluid Physics 8.292J/12.330J

Fluid Physics 8.292J/12.330J Fluid Phsics 8.292J/12.0J Problem Set 4 Solutions 1. Consider the problem of a two-dimensional (infinitel long) airplane wing traeling in the negatie x direction at a speed c through an Euler fluid. In

More information

ES.1803 Topic 16 Notes Jeremy Orloff

ES.1803 Topic 16 Notes Jeremy Orloff ES803 Topic 6 Notes Jerem Orloff 6 Eigenalues, diagonalization, decoupling This note coers topics that will take us seeral classes to get through We will look almost eclusiel at 2 2 matrices These hae

More information

MMJ1153 COMPUTATIONAL METHOD IN SOLID MECHANICS PRELIMINARIES TO FEM

MMJ1153 COMPUTATIONAL METHOD IN SOLID MECHANICS PRELIMINARIES TO FEM B Course Content: A INTRODUCTION AND OVERVIEW Numerical method and Computer-Aided Engineering; Phsical problems; Mathematical models; Finite element method;. B Elements and nodes, natural coordinates,

More information

f x, y x 2 y 2 2x 6y 14. Then

f x, y x 2 y 2 2x 6y 14. Then SECTION 11.7 MAXIMUM AND MINIMUM VALUES 645 absolute minimum FIGURE 1 local maimum local minimum absolute maimum Look at the hills and valles in the graph of f shown in Figure 1. There are two points a,

More information

Section 6: PRISMATIC BEAMS. Beam Theory

Section 6: PRISMATIC BEAMS. Beam Theory Beam Theory There are two types of beam theory aailable to craft beam element formulations from. They are Bernoulli-Euler beam theory Timoshenko beam theory One learns the details of Bernoulli-Euler beam

More information

Cases of integrability corresponding to the motion of a pendulum on the two-dimensional plane

Cases of integrability corresponding to the motion of a pendulum on the two-dimensional plane Cases of integrability corresponding to the motion of a pendulum on the two-dimensional plane MAXIM V. SHAMOLIN Lomonoso Moscow State Uniersity Institute of Mechanics Michurinskii Ae.,, 99 Moscow RUSSIAN

More information

Magnetic Fields Part 3: Electromagnetic Induction

Magnetic Fields Part 3: Electromagnetic Induction Magnetic Fields Part 3: Electromagnetic Induction Last modified: 15/12/2017 Contents Links Electromagnetic Induction Induced EMF Induced Current Induction & Magnetic Flux Magnetic Flux Change in Flux Faraday

More information

Zeroth Law of Thermodynamics: Concepts CHAPTER 4.1 INTRODUCTION 4.2 THERMODYNAMIC SYSTEM AND SURROUNDINGS

Zeroth Law of Thermodynamics: Concepts CHAPTER 4.1 INTRODUCTION 4.2 THERMODYNAMIC SYSTEM AND SURROUNDINGS 4 CHAPER Zeroth Law of hermodnamics: Preliminar Concepts 4.1 INRODUCION hermodnamics is a branch of phsics that deals with the inter-relations between heat and other forms of energ. It is based on principles,

More information

Session R4F Methods to Formulate and to Solve Problems in Mechanical Engineering

Session R4F Methods to Formulate and to Solve Problems in Mechanical Engineering Methods to Formulate and to Sole Problems in Mechanical Engineering Eusebio Jiménez López, Luis Rees Áila, Francisco Jaier Ochoa Estrella 3, Francisco Galindo Gutiérrez 4, Jaier Ruiz Galán 5, and Esteban

More information

Chapter 8: MULTIPLE CONTINUOUS RANDOM VARIABLES

Chapter 8: MULTIPLE CONTINUOUS RANDOM VARIABLES Charles Boncelet Probabilit Statistics and Random Signals" Oord Uniersit Press 06. ISBN: 978-0-9-0005-0 Chapter 8: MULTIPLE CONTINUOUS RANDOM VARIABLES Sections 8. Joint Densities and Distribution unctions

More information

Space Coordinates and Vectors in Space. Coordinates in Space

Space Coordinates and Vectors in Space. Coordinates in Space 0_110.qd 11//0 : PM Page 77 SECTION 11. Space Coordinates and Vectors in Space 77 -plane Section 11. -plane -plane The three-dimensional coordinate sstem Figure 11.1 Space Coordinates and Vectors in Space

More information

FLUID MECHANICS. 1. Division of Fluid Mechanics. Hydrostatics Aerostatics Hydrodynamics Gasdynamics. v velocity p pressure ρ density

FLUID MECHANICS. 1. Division of Fluid Mechanics. Hydrostatics Aerostatics Hydrodynamics Gasdynamics. v velocity p pressure ρ density FLUID MECHANICS. Diision of Fluid Mechanics elocit p pressure densit Hdrostatics Aerostatics Hdrodnamics asdnamics. Properties of fluids Comparison of solid substances and fluids solid fluid τ F A [Pa]

More information

Transformation of Surface Charge Density in Mixed Number Lorentz Transformation

Transformation of Surface Charge Density in Mixed Number Lorentz Transformation Sri ankan Journal of Phsics, Vol. 13(1) (1) 17-5 Institute of Phsics - Sri anka Research Article Transformation of Surface Charge Densit in Mied Number orent Transformation S. B. Rafiq * and M. S. Alam

More information

Chapter 2 Basic Conservation Equations for Laminar Convection

Chapter 2 Basic Conservation Equations for Laminar Convection Chapter Basic Conservation Equations for Laminar Convection Abstract In this chapter, the basic conservation equations related to laminar fluid flow conservation equations are introduced. On this basis,

More information

Dynamics and control of mechanical systems

Dynamics and control of mechanical systems JU 18/HL Dnamics and control of mechanical sstems Date Da 1 (3/5) 5/5 Da (7/5) Da 3 (9/5) Da 4 (11/5) Da 5 (14/5) Da 6 (16/5) Content Revie of the basics of mechanics. Kinematics of rigid bodies coordinate

More information

x y plane is the plane in which the stresses act, yy xy xy Figure 3.5.1: non-zero stress components acting in the x y plane

x y plane is the plane in which the stresses act, yy xy xy Figure 3.5.1: non-zero stress components acting in the x y plane 3.5 Plane Stress This section is concerned with a special two-dimensional state of stress called plane stress. It is important for two reasons: () it arises in real components (particularl in thin components

More information

Dynamic potentials and the field of the moving charges

Dynamic potentials and the field of the moving charges Dynamic potentials and the field of the moing charges F. F. Mende http://fmnauka.narod.ru/works.html mende_fedor@mail.ru Abstract Is deeloped the concept of scalar-ector potential, in which within the

More information

Normalization and Zero-Point Energy The amplitude A 2 in Eq can be found from the normalizing equation, 1106 CHAPTER 39 MORE ABOUT MATTER WAVES

Normalization and Zero-Point Energy The amplitude A 2 in Eq can be found from the normalizing equation, 1106 CHAPTER 39 MORE ABOUT MATTER WAVES 116 CHAPTER 39 MORE ABOUT MATTER WAVES Fig. 39-4 A dot plot of the radial probabilit densit P(r) for the hdrogen atom in a quantum state with a relativel large principal quantum number namel, n 45 and

More information

Differential Equations

Differential Equations LOCUS Dierential Equations CONCEPT NOTES 0. Motiation 0. Soling Dierential Equations LOCUS Dierential Equations Section - MOTIVATION A dierential equation can simpl be said to be an equation inoling deriaties

More information

INTRODUCTION TO DIFFERENTIAL EQUATIONS

INTRODUCTION TO DIFFERENTIAL EQUATIONS INTRODUCTION TO DIFFERENTIAL EQUATIONS. Definitions and Terminolog. Initial-Value Problems.3 Differential Equations as Mathematical Models CHAPTER IN REVIEW The words differential and equations certainl

More information

1.6 ELECTRONIC STRUCTURE OF THE HYDROGEN ATOM

1.6 ELECTRONIC STRUCTURE OF THE HYDROGEN ATOM 1.6 ELECTRONIC STRUCTURE OF THE HYDROGEN ATOM 23 How does this wave-particle dualit require us to alter our thinking about the electron? In our everda lives, we re accustomed to a deterministic world.

More information

And similarly in the other directions, so the overall result is expressed compactly as,

And similarly in the other directions, so the overall result is expressed compactly as, SQEP Tutorial Session 5: T7S0 Relates to Knowledge & Skills.5,.8 Last Update: //3 Force on an element of area; Definition of principal stresses and strains; Definition of Tresca and Mises equivalent stresses;

More information

PHYSICS PART II SECTION- I. Straight objective Type

PHYSICS PART II SECTION- I. Straight objective Type PHYSICS PAT II SECTION- I Straight objective Tpe This section contains 9 multiple choice questions numbered to 1. Each question has choices,, (C) and, out of which ONLY ONE is correct.. A parallel plate

More information

a by a factor of = 294 requires 1/T, so to increase 1.4 h 294 = h

a by a factor of = 294 requires 1/T, so to increase 1.4 h 294 = h IDENTIFY: If the centripetal acceleration matches g, no contact force is required to support an object on the spinning earth s surface. Calculate the centripetal (radial) acceleration /R using = πr/t to

More information

Lesson 3: Free fall, Vectors, Motion in a plane (sections )

Lesson 3: Free fall, Vectors, Motion in a plane (sections ) Lesson 3: Free fall, Vectors, Motion in a plane (sections.6-3.5) Last time we looked at position s. time and acceleration s. time graphs. Since the instantaneous elocit is lim t 0 t the (instantaneous)

More information

MOTION IN 2-DIMENSION (Projectile & Circular motion And Vectors)

MOTION IN 2-DIMENSION (Projectile & Circular motion And Vectors) MOTION IN -DIMENSION (Projectile & Circular motion nd Vectors) INTRODUCTION The motion of an object is called two dimensional, if two of the three co-ordinates required to specif the position of the object

More information

ELECTROMAGNETIC INDUCTION

ELECTROMAGNETIC INDUCTION hapter Si ELETROMGNETI INUTION MQ 1 6.1 square of side L meters lies in the -y plane in a region, where the magnetic field is gien by = ˆ ˆ ˆ o (2 i+ 3j+ 4 k) T, where o is constant. The magnitude of flu

More information

5.3.3 The general solution for plane waves incident on a layered halfspace. The general solution to the Helmholz equation in rectangular coordinates

5.3.3 The general solution for plane waves incident on a layered halfspace. The general solution to the Helmholz equation in rectangular coordinates 5.3.3 The general solution for plane waves incident on a laered halfspace The general solution to the elmhol equation in rectangular coordinates The vector propagation constant Vector relationships between

More information

0 a 3 a 2 a 3 0 a 1 a 2 a 1 0

0 a 3 a 2 a 3 0 a 1 a 2 a 1 0 Chapter Flow kinematics Vector and tensor formulae This introductory section presents a brief account of different definitions of ector and tensor analysis that will be used in the following chapters.

More information

AC : ASSESSMENT OF NAVIERSTOKES EQUATIONS IN A FLUID MECHANICS COURSE

AC : ASSESSMENT OF NAVIERSTOKES EQUATIONS IN A FLUID MECHANICS COURSE AC 011-506: ASSESSMENT OF NAVIERSTOKES EQUATIONS IN A FLUID MECHANICS COURSE Msore Naraanan, Miami Uniersit DR. MYSORE NARAYANAN obtained his Ph.D. from the Uniersit of Lierpool, England in the area of

More information

THE HEATED LAMINAR VERTICAL JET IN A LIQUID WITH POWER-LAW TEMPERATURE DEPENDENCE OF DENSITY. V. A. Sharifulin.

THE HEATED LAMINAR VERTICAL JET IN A LIQUID WITH POWER-LAW TEMPERATURE DEPENDENCE OF DENSITY. V. A. Sharifulin. THE HEATED LAMINAR VERTICAL JET IN A LIQUID WITH POWER-LAW TEMPERATURE DEPENDENCE OF DENSITY 1. Introduction V. A. Sharifulin Perm State Technical Universit, Perm, Russia e-mail: sharifulin@perm.ru Water

More information

Fundamentals of Applied Electromagnetics. Chapter 2 - Vector Analysis

Fundamentals of Applied Electromagnetics. Chapter 2 - Vector Analysis Fundamentals of pplied Electromagnetics Chapter - Vector nalsis Chapter Objectives Operations of vector algebra Dot product of two vectors Differential functions in vector calculus Divergence of a vector

More information

UNDERSTAND MOTION IN ONE AND TWO DIMENSIONS

UNDERSTAND MOTION IN ONE AND TWO DIMENSIONS SUBAREA I. COMPETENCY 1.0 UNDERSTAND MOTION IN ONE AND TWO DIMENSIONS MECHANICS Skill 1.1 Calculating displacement, aerage elocity, instantaneous elocity, and acceleration in a gien frame of reference

More information

Review of Matrices and Vectors 1/45

Review of Matrices and Vectors 1/45 Reiew of Matrices and Vectors /45 /45 Definition of Vector: A collection of comple or real numbers, generally put in a column [ ] T "! Transpose + + + b a b a b b a a " " " b a b a Definition of Vector

More information

Elliptic Equations. Chapter Definitions. Contents. 4.2 Properties of Laplace s and Poisson s Equations

Elliptic Equations. Chapter Definitions. Contents. 4.2 Properties of Laplace s and Poisson s Equations 5 4. Properties of Laplace s and Poisson s Equations Chapter 4 Elliptic Equations Contents. Neumann conditions the normal derivative, / = n u is prescribed on the boundar second BP. In this case we have

More information

Higher. Differentiation 28

Higher. Differentiation 28 Higher Mathematics UNIT OUTCOME Differentiation Contents Differentiation 8 Introduction to Differentiation 8 Finding the Derivative 9 Differentiating with Respect to Other Variables 4 Rates of Change 4

More information

The Inverse Function Theorem

The Inverse Function Theorem Inerse Function Theorem April, 3 The Inerse Function Theorem Suppose and Y are Banach spaces and f : Y is C (continuousl differentiable) Under what circumstances does a (local) inerse f exist? In the simplest

More information

Chapter 3. Theory of measurement

Chapter 3. Theory of measurement Chapter. Introduction An energetic He + -ion beam is incident on thermal sodium atoms. Figure. shows the configuration in which the interaction one is determined b the crossing of the laser-, sodium- and

More information

Vector Calculus Review

Vector Calculus Review Course Instructor Dr. Ramond C. Rumpf Office: A-337 Phone: (915) 747-6958 E-Mail: rcrumpf@utep.edu Vector Calculus Review EE3321 Electromagnetic Field Theor Outline Mathematical Preliminaries Phasors,

More information

NST1A: Mathematics II (Course A) End of Course Summary, Lent 2011

NST1A: Mathematics II (Course A) End of Course Summary, Lent 2011 General notes Proofs NT1A: Mathematics II (Course A) End of Course ummar, Lent 011 tuart Dalziel (011) s.dalziel@damtp.cam.ac.uk This course is not about proofs, but rather about using different techniques.

More information

In applications, we encounter many constrained optimization problems. Examples Basis pursuit: exact sparse recovery problem

In applications, we encounter many constrained optimization problems. Examples Basis pursuit: exact sparse recovery problem 1 Conve Analsis Main references: Vandenberghe UCLA): EECS236C - Optimiation methods for large scale sstems, http://www.seas.ucla.edu/ vandenbe/ee236c.html Parikh and Bod, Proimal algorithms, slides and

More information

CONSERVATION OF ANGULAR MOMENTUM FOR A CONTINUUM

CONSERVATION OF ANGULAR MOMENTUM FOR A CONTINUUM Chapter 4 CONSERVATION OF ANGULAR MOMENTUM FOR A CONTINUUM Figure 4.1: 4.1 Conservation of Angular Momentum Angular momentum is defined as the moment of the linear momentum about some spatial reference

More information

Section B. Ordinary Differential Equations & its Applications Maths II

Section B. Ordinary Differential Equations & its Applications Maths II Section B Ordinar Differential Equations & its Applications Maths II Basic Concepts and Ideas: A differential equation (D.E.) is an equation involving an unknown function (or dependent variable) of one

More information

CH. 1 FUNDAMENTAL PRINCIPLES OF MECHANICS

CH. 1 FUNDAMENTAL PRINCIPLES OF MECHANICS 446.201 (Solid echanics) Professor Youn, eng Dong CH. 1 FUNDENTL PRINCIPLES OF ECHNICS Ch. 1 Fundamental Principles of echanics 1 / 14 446.201 (Solid echanics) Professor Youn, eng Dong 1.2 Generalied Procedure

More information

Eigenvectors and Eigenvalues 1

Eigenvectors and Eigenvalues 1 Ma 2015 page 1 Eigenvectors and Eigenvalues 1 In this handout, we will eplore eigenvectors and eigenvalues. We will begin with an eploration, then provide some direct eplanation and worked eamples, and

More information

Conservation of Linear Momentum for a Differential Control Volume

Conservation of Linear Momentum for a Differential Control Volume Conservation of Linear Momentum for a Differential Control Volume When we applied the rate-form of the conservation of mass equation to a differential control volume (open sstem in Cartesian coordinates,

More information

Strain Transformation and Rosette Gage Theory

Strain Transformation and Rosette Gage Theory Strain Transformation and Rosette Gage Theor It is often desired to measure the full state of strain on the surface of a part, that is to measure not onl the two etensional strains, and, but also the shear

More information

Physics of Tsunamis. This is an article from my home page: Ole Witt-Hansen 2011 (2016)

Physics of Tsunamis. This is an article from my home page:   Ole Witt-Hansen 2011 (2016) Phsics of Tsunamis This is an article from m home page: www.olewitthansen.dk Ole Witt-Hansen 11 (16) Contents 1. Constructing a differential equation for the Tsunami wave...1. The velocit of propagation

More information

44th AIAA/ASME/ASCE/AHS/ASC Structures, Structural Dynamics, and Materials Conference 7-10 April 2003 Norfolk, VA

44th AIAA/ASME/ASCE/AHS/ASC Structures, Structural Dynamics, and Materials Conference 7-10 April 2003 Norfolk, VA AIAA -45 Closed-Loop Deploable Structures W.W. Gan and S. Pellegrino Uniersit of Cambridge, Cambridge, CB P, UK 44th AIAA/ASME/ASCE/AHS/ASC Structures, Structural Dnamics, and Materials Conference 7- April

More information

CHAPTER 2: Partial Derivatives. 2.2 Increments and Differential

CHAPTER 2: Partial Derivatives. 2.2 Increments and Differential CHAPTER : Partial Derivatives.1 Definition of a Partial Derivative. Increments and Differential.3 Chain Rules.4 Local Etrema.5 Absolute Etrema 1 Chapter : Partial Derivatives.1 Definition of a Partial

More information

Modelling of dynamics of mechanical systems with regard for constraint stabilization

Modelling of dynamics of mechanical systems with regard for constraint stabilization IOP Conference Series: Materials Science and Engineering PAPER OPEN ACCESS Modelling of dnamics of mechanical sstems with regard for constraint stabilization o cite this article: R G Muharlamov 018 IOP

More information

Why does Saturn have many tiny rings?

Why does Saturn have many tiny rings? 2004 Thierry De Mees hy does Saturn hae many tiny rings? or Cassini-Huygens Mission: New eidence for the Graitational Theory with Dual Vector Field T. De Mees - thierrydemees @ pandora.be Abstract This

More information

Сollisionless damping of electron waves in non-maxwellian plasma 1

Сollisionless damping of electron waves in non-maxwellian plasma 1 http:/arxi.org/physics/78.748 Сollisionless damping of electron waes in non-mawellian plasma V. N. Soshnio Plasma Physics Dept., All-Russian Institute of Scientific and Technical Information of the Russian

More information

A Tutorial on Euler Angles and Quaternions

A Tutorial on Euler Angles and Quaternions A Tutorial on Euler Angles and Quaternions Moti Ben-Ari Department of Science Teaching Weimann Institute of Science http://www.weimann.ac.il/sci-tea/benari/ Version.0.1 c 01 17 b Moti Ben-Ari. This work

More information

Fluid Mechanics II. Newton s second law applied to a control volume

Fluid Mechanics II. Newton s second law applied to a control volume Fluid Mechanics II Stead flow momentum equation Newton s second law applied to a control volume Fluids, either in a static or dnamic motion state, impose forces on immersed bodies and confining boundaries.

More information

KINEMATIC RELATIONS IN DEFORMATION OF SOLIDS

KINEMATIC RELATIONS IN DEFORMATION OF SOLIDS Chapter 8 KINEMATIC RELATIONS IN DEFORMATION OF SOLIDS Figure 8.1: 195 196 CHAPTER 8. KINEMATIC RELATIONS IN DEFORMATION OF SOLIDS 8.1 Motivation In Chapter 3, the conservation of linear momentum for a

More information

Mathematics 309 Conic sections and their applicationsn. Chapter 2. Quadric figures. ai,j x i x j + b i x i + c =0. 1. Coordinate changes

Mathematics 309 Conic sections and their applicationsn. Chapter 2. Quadric figures. ai,j x i x j + b i x i + c =0. 1. Coordinate changes Mathematics 309 Conic sections and their applicationsn Chapter 2. Quadric figures In this chapter want to outline quickl how to decide what figure associated in 2D and 3D to quadratic equations look like.

More information

Chapter 3 Motion in a Plane

Chapter 3 Motion in a Plane Chapter 3 Motion in a Plane Introduce ectors and scalars. Vectors hae direction as well as magnitude. The are represented b arrows. The arrow points in the direction of the ector and its length is related

More information

The solution of differential equation of physical problem by the use of Matlab

The solution of differential equation of physical problem by the use of Matlab The solution of differential equation of phsical problem b the use of Matlab Erika Fechoá Technical Uniersit of Košice Facult of Manufacturing Technologies of the Technical Uniersit of Košice with a seat

More information

FLUID MECHANICS EQUATIONS

FLUID MECHANICS EQUATIONS FLUID MECHANIC EQUATION M. Ragheb 11/2/2017 INTRODUCTION The early part of the 18 th -century saw the burgeoning of the field of theoretical fluid mechanics pioneered by Leonhard Euler and the father and

More information

Survey of Wave Types and Characteristics

Survey of Wave Types and Characteristics Seminar: Vibrations and Structure-Borne Sound in Civil Engineering Theor and Applications Surve of Wave Tpes and Characteristics Xiuu Gao April 1 st, 2006 Abstract Mechanical waves are waves which propagate

More information

Complete Solutions Manual. Technical Calculus with Analytic Geometry FIFTH EDITION. Peter Kuhfittig Milwaukee School of Engineering.

Complete Solutions Manual. Technical Calculus with Analytic Geometry FIFTH EDITION. Peter Kuhfittig Milwaukee School of Engineering. Complete Solutions Manual Technical Calculus with Analtic Geometr FIFTH EDITION Peter Kuhfittig Milwaukee School of Engineering Australia Brazil Meico Singapore United Kingdom United States 213 Cengage

More information

General Lorentz Boost Transformations, Acting on Some Important Physical Quantities

General Lorentz Boost Transformations, Acting on Some Important Physical Quantities General Lorentz Boost Transformations, Acting on Some Important Physical Quantities We are interested in transforming measurements made in a reference frame O into measurements of the same quantities as

More information

Module 1 : The equation of continuity. Lecture 4: Fourier s Law of Heat Conduction

Module 1 : The equation of continuity. Lecture 4: Fourier s Law of Heat Conduction 1 Module 1 : The equation of continuit Lecture 4: Fourier s Law of Heat Conduction NPTEL, IIT Kharagpur, Prof. Saikat Chakrabort, Department of Chemical Engineering Fourier s Law of Heat Conduction According

More information

The Plane Stress Problem

The Plane Stress Problem . 4 The Plane Stress Problem 4 Chapter 4: THE PLANE STRESS PROBLEM 4 TABLE OF CONTENTS Page 4.. INTRODUCTION 4 3 4... Plate in Plane Stress............... 4 3 4... Mathematical Model.............. 4 4

More information

ENGI 4430 Advanced Calculus for Engineering Faculty of Engineering and Applied Science Problem Set 3 Solutions [Multiple Integration; Lines of Force]

ENGI 4430 Advanced Calculus for Engineering Faculty of Engineering and Applied Science Problem Set 3 Solutions [Multiple Integration; Lines of Force] ENGI 44 Advanced Calculus for Engineering Facult of Engineering and Applied Science Problem Set Solutions [Multiple Integration; Lines of Force]. Evaluate D da over the triangular region D that is bounded

More information

Einstein s Lorentz Transformation is a Mathematical Game

Einstein s Lorentz Transformation is a Mathematical Game No. Einstein s Lorentz Transformation is a Mathematical Game Zeng Qingping Air Force Radar Academ ( th Department) Room 8-A-, No.88, Huangpu Street, Wuhan, Hubei, China [Abstract]: This paper indicates

More information

*

* Quasi-Static Magnetic Field Shielding Using Longitudinal Mu-Near-Zero Metamaterials Gu Lipworth 1, Joshua Ensworth 2, Kushal Seetharam 1, Jae Seung Lee 3, Paul Schmalenberg 3, Tsuoshi Nomura 4, Matthew

More information

SOLUTIONS FOR THEORETICAL COMPETITION Theoretical Question 1 (10 points) 1A (3.5 points)

SOLUTIONS FOR THEORETICAL COMPETITION Theoretical Question 1 (10 points) 1A (3.5 points) II International Zhautkov Olmpiad/Theoretical Competition/Solutions Page 1/10 SOLUTIONS FOR THEORETICAL COMPETITION Theoretical Question 1 (10 points) 1A (.5 points) m v Mu m = + w + ( u w ) + mgr It is

More information

Vectors and the Geometry of Space

Vectors and the Geometry of Space Vectors and the Geometr of Space. Vectors in the Plane. Space Coordinates and Vectors in Space. The Dot Product of Two Vectors. The Cross Product of Two Vectors in Space.5 Lines and Planes in Space.6 Surfaces

More information

Purpose of the experiment

Purpose of the experiment Impulse and Momentum PES 116 Adanced Physics Lab I Purpose of the experiment Measure a cart s momentum change and compare to the impulse it receies. Compare aerage and peak forces in impulses. To put the

More information

1.1 The Equations of Motion

1.1 The Equations of Motion 1.1 The Equations of Motion In Book I, balance of forces and moments acting on an component was enforced in order to ensure that the component was in equilibrium. Here, allowance is made for stresses which

More information

Lecture 1a. Complex numbers, phasors and vectors. Introduction. Complex numbers. 1a.1

Lecture 1a. Complex numbers, phasors and vectors. Introduction. Complex numbers. 1a.1 1a.1 Lecture 1a Comple numbers, phasors and vectors Introduction This course will require ou to appl several concepts ou learned in our undergraduate math courses. In some cases, such as comple numbers

More information

4. A Physical Model for an Electron with Angular Momentum. An Electron in a Bohr Orbit. The Quantum Magnet Resulting from Orbital Motion.

4. A Physical Model for an Electron with Angular Momentum. An Electron in a Bohr Orbit. The Quantum Magnet Resulting from Orbital Motion. 4. A Physical Model for an Electron with Angular Momentum. An Electron in a Bohr Orbit. The Quantum Magnet Resulting from Orbital Motion. We now hae deeloped a ector model that allows the ready isualization

More information

Space frames. b) R z φ z. R x. Figure 1 Sign convention: a) Displacements; b) Reactions

Space frames. b) R z φ z. R x. Figure 1 Sign convention: a) Displacements; b) Reactions Lecture notes: Structural Analsis II Space frames I. asic concepts. The design of a building is generall accomplished b considering the structure as an assemblage of planar frames, each of which is designed

More information

In this chapter a student has to learn the Concept of adjoint of a matrix. Inverse of a matrix. Rank of a matrix and methods finding these.

In this chapter a student has to learn the Concept of adjoint of a matrix. Inverse of a matrix. Rank of a matrix and methods finding these. MATRICES UNIT STRUCTURE.0 Objectives. Introduction. Definitions. Illustrative eamples.4 Rank of matri.5 Canonical form or Normal form.6 Normal form PAQ.7 Let Us Sum Up.8 Unit End Eercise.0 OBJECTIVES In

More information

Classical Mechanics NEWTONIAN SYSTEM OF PARTICLES MISN NEWTONIAN SYSTEM OF PARTICLES by C. P. Frahm

Classical Mechanics NEWTONIAN SYSTEM OF PARTICLES MISN NEWTONIAN SYSTEM OF PARTICLES by C. P. Frahm MISN-0-494 NEWTONIAN SYSTEM OF PARTICLES Classical Mechanics NEWTONIAN SYSTEM OF PARTICLES by C. P. Frahm 1. Introduction.............................................. 1 2. Procedures................................................

More information

8.4. If we let x denote the number of gallons pumped, then the price y in dollars can $ $1.70 $ $1.70 $ $1.70 $ $1.

8.4. If we let x denote the number of gallons pumped, then the price y in dollars can $ $1.70 $ $1.70 $ $1.70 $ $1. 8.4 An Introduction to Functions: Linear Functions, Applications, and Models We often describe one quantit in terms of another; for eample, the growth of a plant is related to the amount of light it receives,

More information

Isoperimetric problems

Isoperimetric problems CHAPTER 2 Isoperimetric problems 2.1. History One of the earliest problems in geometry was the isoperimetric problem, which was considered by the ancient Greeks. The problem is to find, among all closed

More information

QUALITATIVE ANALYSIS OF DIFFERENTIAL EQUATIONS

QUALITATIVE ANALYSIS OF DIFFERENTIAL EQUATIONS arxiv:1803.0591v1 [math.gm] QUALITATIVE ANALYSIS OF DIFFERENTIAL EQUATIONS Aleander Panfilov stable spiral det A 6 3 5 4 non stable spiral D=0 stable node center non stable node saddle 1 tr A QUALITATIVE

More information

Analytic Geometry in Three Dimensions

Analytic Geometry in Three Dimensions Analtic Geometr in Three Dimensions. The Three-Dimensional Coordinate Sstem. Vectors in Space. The Cross Product of Two Vectors. Lines and Planes in Space The three-dimensional coordinate sstem is used

More information

ON THE INTERPRETATION OF THE LAGRANGE MULTIPLIERS IN THE CONSTRAINT FORMULATION OF CONTACT PROBLEMS; OR WHY ARE SOME MULTIPLIERS ALWAYS ZERO?

ON THE INTERPRETATION OF THE LAGRANGE MULTIPLIERS IN THE CONSTRAINT FORMULATION OF CONTACT PROBLEMS; OR WHY ARE SOME MULTIPLIERS ALWAYS ZERO? Proceedings of the ASME 214 International Design Engineering Technical Conferences & Computers and Information in Engineering Conference IDETC/CIE 214 August 17-2, 214, Buffalo, New York, USA DETC214-3479

More information

CHAPTER 3 Applications of Differentiation

CHAPTER 3 Applications of Differentiation CHAPTER Applications of Differentiation Section. Etrema on an Interval.............. 0 Section. Rolle s Theorem and the Mean Value Theorem. 07 Section. Increasing and Decreasing Functions and the First

More information

CHAPTER 3 Applications of Differentiation

CHAPTER 3 Applications of Differentiation CHAPTER Applications of Differentiation Section. Etrema on an Interval................... 0 Section. Rolle s Theorem and the Mean Value Theorem...... 0 Section. Increasing and Decreasing Functions and

More information

Math 425 Lecture 1: Vectors in R 3, R n

Math 425 Lecture 1: Vectors in R 3, R n Math 425 Lecture 1: Vectors in R 3, R n Motiating Questions, Problems 1. Find the coordinates of a regular tetrahedron with center at the origin and sides of length 1. 2. What is the angle between the

More information

Pan Pearl River Delta Physics Olympiad 2005

Pan Pearl River Delta Physics Olympiad 2005 1 Jan. 29, 25 Morning Session (9 am 12 pm) Q1 (5 Two identical worms of length L are ling on a smooth and horizontal surface. The mass of the worms is evenl distributed along their bod length. The starting

More information

Introduction to Thermodynamic Cycles Part 1 1 st Law of Thermodynamics and Gas Power Cycles

Introduction to Thermodynamic Cycles Part 1 1 st Law of Thermodynamics and Gas Power Cycles Introduction to Thermodynamic Cycles Part 1 1 st Law of Thermodynamics and Gas Power Cycles by James Doane, PhD, PE Contents 1.0 Course Oeriew... 4.0 Basic Concepts of Thermodynamics... 4.1 Temperature

More information

10. The dimensional formula for c) 6% d) 7%

10. The dimensional formula for c) 6% d) 7% UNIT. One of the combinations from the fundamental phsical constants is hc G. The unit of this epression is a) kg b) m 3 c) s - d) m. If the error in the measurement of radius is %, then the error in the

More information

Math 21a: Multivariable calculus. List of Worksheets. Harvard University, Spring 2009

Math 21a: Multivariable calculus. List of Worksheets. Harvard University, Spring 2009 Math 2a: Multivariable calculus Harvard Universit, Spring 2009 List of Worksheets Vectors and the Dot Product Cross Product and Triple Product Lines and Planes Functions and Graphs Quadric Surfaces Vector-Valued

More information

Miscellaneous (dimension, angle, etc.) - black [pencil] Use different colors in diagrams. Body outline - blue [black] Vector

Miscellaneous (dimension, angle, etc.) - black [pencil] Use different colors in diagrams. Body outline - blue [black] Vector 1. Sstems of orces & s 2142111 Statics, 2011/2 Department of Mechanical Engineering, Chulalongkorn Uniersit bjecties Students must be able to Course bjectie Analze a sstem of forces and moments Chapter

More information

Mathematics. Polynomials and Quadratics. hsn.uk.net. Higher. Contents. Polynomials and Quadratics 52 HSN22100

Mathematics. Polynomials and Quadratics. hsn.uk.net. Higher. Contents. Polynomials and Quadratics 52 HSN22100 Higher Mathematics UNIT OUTCOME 1 Polnomials and Quadratics Contents Polnomials and Quadratics 5 1 Quadratics 5 The Discriminant 54 Completing the Square 55 4 Sketching Parabolas 57 5 Determining the Equation

More information

Mathematical aspects of mechanical systems eigentones

Mathematical aspects of mechanical systems eigentones Seminar: Vibrations and Structure-Borne Sound in Civil Engineering Theor and Applications Mathematical aspects of mechanical sstems eigentones Andre Kuzmin April st 6 Abstract Computational methods of

More information

ME 321: FLUID MECHANICS-I

ME 321: FLUID MECHANICS-I 6/07/08 ME 3: LUID MECHANI-I Dr. A.B.M. Toufique Hasan Professor Department of Mechanical Engineering Bangladesh Universit of Engineering & Technolog (BUET), Dhaka Lecture- 4/07/08 Momentum Principle teacher.buet.ac.bd/toufiquehasan/

More information

Polynomial and Rational Functions

Polynomial and Rational Functions Name Date Chapter Polnomial and Rational Functions Section.1 Quadratic Functions Objective: In this lesson ou learned how to sketch and analze graphs of quadratic functions. Important Vocabular Define

More information

CONSERVATION OF ENERGY FOR ACONTINUUM

CONSERVATION OF ENERGY FOR ACONTINUUM Chapter 6 CONSERVATION OF ENERGY FOR ACONTINUUM Figure 6.1: 6.1 Conservation of Energ In order to define conservation of energ, we will follow a derivation similar to those in previous chapters, using

More information

nm nm

nm nm The Quantum Mechanical Model of the Atom You have seen how Bohr s model of the atom eplains the emission spectrum of hdrogen. The emission spectra of other atoms, however, posed a problem. A mercur atom,

More information