On the Navier Stokes equations
|
|
- Mervyn Washington
- 5 years ago
- Views:
Transcription
1 On the Navier Stokes equations Daniel Thoas Hayes April 26, 2018 The proble on the existence and soothness of the Navier Stokes equations is resolved. 1. Proble description The Navier Stokes equations are thought to govern the otion of a fluid in R 3, see [1]. Let u = u(x, t) R 3, p = p(x, t) R, and f = f(x, t) R 3 be the velocity, pressure, and given externally applied force respectively, each dependent on position x R 3 and tie t 0. The fluid is here assued to be incopressible with constant viscosity ν > 0 and to fill all of R 3. The Navier Stokes equations can then be written as with initial condition u + (u )u = ν 2 u p + f, (1) u = 0 (2) u(x, 0) = u 0 (3) where u 0 = u 0 (x) R 3. In these equations = ( x 1, x 2, x 3 ) is the gradient operator and 2 = 3 2 i=1 x 2 is the Laplacian operator. When ν = 0, equations (1), (2), (3) are called i the Euler equations. Solutions of (1), (2), (3) are to be found with u 0 (x + e j ) = u 0 (x), f(x + e j, t) = f(x, t) for 1 j 3 (4) where e 1 = (1, 0, 0), e 2 = (0, 1, 0), e 3 = (0, 0, 1). The initial condition u 0 is a given C divergence-free vector field on R 3 and α x β t f C αβγ(1 + t ) γ on R 3 [0, ) for any α, β, γ. (5) A solution of (1), (2), (3) would then be accepted to be physically reasonable if and u(x + e j, t) = u(x, t), p(x + e j, t) = p(x, t) on R 3 [0, ) for 1 j 3 (6) I provide a proof of the following stateent (D), see [2]. (D) Breakdown of Navier Stokes Solutions on R 3 /Z 3. u, p C (R 3 [0, )). (7) Take ν > 0. Then there exist a sooth, divergence-free vector field u 0 on R 3 and a sooth f on R 3 [0, ), satisfying (4), (5), for which there exist no solutions (u, p) of (1), (2), (3), (6), (7) on R 3 [0, ). 1
2 2. Proof of stateent (D) Herein I take f = 0. I seek an approxiation of the for u = p = 1 n L= 1 1 n 1 L= 1 l u L t l l e ıkl x t=0, (8) l p L t l l e ıkl x t=0 (9) to the solution of (1), (2), (3), (4), (5), (6) in light of Theore 1 and Theore 2 in the Appendix. Here u L = u L (t), p L = p L (t), ı = 1, k = 2π, and H L= H denotes the su over all L Z 3 with H L j H. Herein the sooth 1 divergence-free initial condition u 0 on R 3 is chosen to be u 0 = 1 L (L a L )δ e ıkl x L, 3 (10) L= 1 where δ i, j is the Kronecker delta defined by δ i, j = { 1, i = j 0, i j (11) and a L are constant vectors that are chosen such that u 0 R 3. ethod 1 Let u = p = n l u l t l t=0, (12) n 1 t l l p. (13) Substituting (12), (13) into (1) and equating like powers of t in accordance with Theore 1 yields l+1 u l+1 t=0 + l ( l u l t=0 ) u l t=0 =0 = ν 2 l u l p (14) where l =!(l )!. Substituting (12) into (2) and equating like powers of t in accordance with Theore 1 yields l u = 0. (15) 1 In this paper, sooth functions and C functions will both ean continuous functions whose derivatives and integrals are all continuous. 2
3 Applying to (14) and using the identities along with (15) gives 2 l+1 u l+1 t=0 = a = ( a) 2 a, (16) a = 0 (17) l ( l u l t=0 ) u l t=0 =0 Applying the inverse Laplacian 2 to (18) gives l+1 u l+1 t=0 = 2 l ( l u l t=0 ) u l t=0 =0 where Φ l ust satisfy the Laplace equation + ν 4 l u. (18) + ν 2 l u + Φ l (19) 2 Φ l = 0. (20) The required solution to (20) is Φ l = 0 in light of (4), (6). Equation (19) is then solved for l+1 u l+1 t=0 where l = 0, 1,..., n 1. Applying to (14) and noting (15) yields Applying 2 to (21) gives where 2 l p = l p = 2 l ( l u l t=0 ) u l t=0. (21) =0 l ( l u l t=0 ) u l t=0 + ψ l (22) =0 2 ψ l = 0. (23) Arbitrary constant ψ l R is the solution to (23) in light of (4), (6). Equation (22) is then solved for l p l t=0 where l = 0, 1,..., n 1. After truncating (12), (13) in their odes, expressions for (8), (9) fro ethod 1 are then known in ters of given functions. Note that for the Fourier series g = g e ıkl x L (24) L 0 where L 0 denotes the su over all L Z 3 with L 0, the 2 operator is defined herein as 2 g e ıkl x g e ıkl x L L = k 2 L 2. (25) L 0 L 0 3
4 ethod 2 Let u = p = 1 u e ıkl x L, (26) L= 1 1 L= 1 p L e ıkl x. (27) Substituting (26), (27) into (1) and equating like powers of e in accordance with Theore 2 yields u L + (u L ık)u = νk 2 L 2 u L ıklp L. (28) Substituting (26) into (2) and equating like powers of e in accordance with Theore 2 yields L u L = 0. (29) Applying L L to (28) and noting the vector identity along with (29) yields L 2 u L Equation (31) iplies u L a (b c) = (c a)b (b a)c (30) = L (L (u L ık)u ) νk 2 L 4 u L. (31) = ˆL ( ˆL (u L ık)u ) νk 2 L 2 u L (32) where the right hand side of (32) is 0 when L = 0 and ˆL = L/ L is the unit vector in the direction of L. Applying L to (28) and noting (29) gives ık L 2 p L = (u L ık)(u L) (33) iplying that where p 0 R is an arbitrary function of t. Let p L = (u L ˆL)(u ˆL) (34) u L = p L = n n 1 l u L t l, (35) l p L t l. (36) 4
5 Substituting (35) into (32) and equating like powers of t in accordance with Theore 1 yields l+1 u L l+1 t=0 = l =0 ˆL ( ˆL ( l u L l t=0 ık) u t=0) l νk 2 L 2 l u L. (37) Equation (37) is then solved for l+1 u L l+1 t=0 where l = 0, 1,..., n 1 and 1 L j 1. Substituting (35), (36) into (34) and equating like powers of t in accordance with Theore 1 yields l p L l t=0 = l =0 ( l u L l t=0 ˆL)( u t=0 ˆL) l. (38) Equation (38) is then solved for l p L where l = 0, 1,..., n 1 and 1 L j 1. Expressions for (8), (9) fro ethod 2 are then known in ters of given functions. At l = 0 in (37) it is found that u L t=0 = ˆL ( ˆL (u L t=0 ık)u t=0 ) νk 2 L 2 u L t=0. (39) In (39) with 1 L 2 3, u t=0 = 0 unless 2 = 3 and u L t=0 = 0 unless L 2 = 3. With L 2 = 3 and 2 = 3 the equation L 2 = 3 then iplies 2L = 3 which is not possible as an even nuber can not be equal to an odd nuber. Likewise, with L 2 = 1 and 2 = 3 the equation L 2 = 3 then iplies 2L = 1 which is not possible as an even nuber can not be equal to an odd nuber. With L 2 = 2 and 2 = 3 the equation L 2 = 3 then iplies L = 1 which is not possible as in this instance L {0, 2} when 1 L j 1, 1 j 1. Therefore u L t=0 = 3k 2 νu L t=0. (40) At O(t), I find that ethod 2 gives the sae result for (8) as given by ethod 1. At l = 1 in (37) it is found that 2 u L 2 t=0 = ˆL ( ˆL (( u L t=0 ık)u t=0 + (u L t=0 ık) u t=0 )) νk 2 L 2 u L t=0. (41) By a siilar arguent as that applied to (39) it is found in ethod 2 that In fact for l 0 it is found in ethod 2 that 2 u L 2 t=0 = 3k 2 ν u L t=0 = 9k 4 ν 2 u L t=0. (42) l+1 u L l+1 t=0 = ( 3k 2 ν) l+1 u L t=0. (43) 5
6 With ethod 1 for ν = 0, I find that u tt t=0 0 when truncated onto the odes with 1 L j 1. Therefore at O(t 2 ), the approxiation (8) found fro ethod 1 is different to the approxiation (8) found fro ethod 2. Because of this nonuniqueness at least one of the assuptions used was invalid. An exact solution Herein I denote u = (u, v, w) and x = (x, y, z). Let the initial condition be u 0 = (cos(k(x + y z)), cos(k(x y z)), cos(k(x + y z)) cos(k(x y z))) (44) which is consistent with (10). I used aple to find the aclaurin series of the solution (u, p) to (1), (2), (3), (4), (5), (6) using (44). The nonuniqueness of results found with ethod 1 and ethod 2 does occur when using (44). It appeared fro the aclaurin series of the solution (u, p) that v = cos(k(x y z))e νλt, (45) w = u cos(k(x y z))e νλt, (46) p = 0 (47) where λ = 3k 2. On substitution of (45), (46), (47) into (1), (2), (6), I found that u ust satisfy u + ( u y u z )eνλt cos(k(x y z)) ν 2 u = 0, (48) u x + u = 0, z (49) u(x + e j, t) = u(x, t), for 1 j 3. (50) For ν = 0, I used aple to find that the exact general solution of (48) is u = F(x, y + z, t cos(k(x y z)) y ) (51) cos(k(x y z)) where F is an arbitrary function. On atching (51) with (44) at t = 0, I then deduced that u = cos(2tk cos(k(x y z)) k(x + y z)). (52) The solution (52) also satisfies (49), (50). The resulting (u, p) was then verified to be an exact solution to (1), (2), (3), (4), (5), (6) for ν = 0. Integrating (52) with respect to t yields t sin(2tk cos(k(x y z)) k(x + y z)) u dt = (53) 2k cos(k(x y z)) which is undefined for soe values of x R 3 and t 0. For ν > 0, it is found that for the sall tie O(t) solution the equation (48) for u is u + ( u y u z )eνλt cos(k(x y z)) νλu = 0. (54) 6
7 Equation (54) iplies Then a change of variables yields Equation (49) becoes the initial condition (44) iplies (ue νλt ) + ( u y u ) cos(k(x y z)) = 0. (55) z τ = eνλt 1, νλ (56) u(x, t) = a(x, τ) τ (57) a τ + ( a y a ) cos(k(x y z)) = 0. (58) z and the spatially periodic boundary conditions (50) iply a x + a = 0, (59) z a(x, 0) = cos(k(x + y z)), (60) a(x + e j, τ) = a(x, τ) for 1 j 3. (61) Equations (58), (59), (60), (61) define an Euler proble. In light of this and (52), it is then clear that u = e νλt cos( 2k νλ (eνλt 1) cos(k(x y z)) k(x + y z)) (62) is valid for sall tie when ν > 0. Integrating (62) with respect to t yields t u dt = sin( 2k νλ (eνλt 1) cos(k(x y z)) k(x + y z)) 2k cos(k(x y z)) (63) which is undefined for soe values of x R 3 and t 0. Therefore stateent (D) is true. Appendix Theore 1 Providing that the aclaurin series Ă = n l A l t l n t=0 = l Ă l t l t=0 7 (64)
8 of the exact general solution to a Q th order partial differential equation Q A Q = Ψ (65) exists, it will solve the coefficients of t l for all l = 0, 1,..., n Q in (65) with A = Ă provided Ψ A=Ă is expandable in aclaurin series as Ψ A=Ă = l Ψ A=Ă t l (66) where n. Here all of the partial derivatives of A with respect to t are defined at t = 0. Proof of Theore 1 Since the aclaurin series of A exists and all of the partial derivatives of A with respect to t are defined at t = 0, one can integrate (65) Q ties with respect to t and then substitute the result into (64) to find Ă = n l Q Ψ l Q t l n t=0 = l Q Ψ dt A=Ă t l (67) where Q Ψ dt denotes the Qth integral of Ψ with respect to t. Substituting A = Ă into the residual r of (65) then gives r = n l Q Ψ A=Ă l Q t=0 t l Q (l Q)! l Ψ A=Ă t l (68) providing Ψ A=Ă is expanded in aclaurin series as in (66). Collecting like powers of t in (68) yields n Q l Ψ r = A=Ă t l l Ψ A=Ă t l (69) which shows that Theore 1 is true. Theore 2 Providing that the Fourier series à = N P(A, e ıkl x )e ıkl x = N of the exact general solution to a Q th order partial differential equation P(Ã, e ıkl x )e ıkl x (70) Q A Q = Ψ (71) 8
9 exists, it will solve the coefficients of e ıkl x for all N L j N in (71) with A = à provided Ψ A=à is expandable in Fourier series as Ψ A=à = L= P(Ψ A=Ã, e ıkl x )e ıkl x (72) where N. Here A is spatially periodic and sooth for all x R 3, k > 0 is a constant, and P(h, e ıkl x ) denotes the projection of h onto e ıkl x. Proof of Theore 2 Since the Fourier series of A exists where A is spatially periodic and sooth for all x R 3, one can integrate (71) Q ties with respect to t and then substitute the result into (70) to find à = N P( Ψ dt, e ıkl x )e ıkl x = Q N Substituting A = à into the residual r of (71) then gives r = Q Q N P( Q Ψ dt A=Ã, e ıkl x )e ıkl x P( Ψ dt, e ıkl x )e ıkl x A=Ã. (73) Q L= P(Ψ A=Ã, e ıkl x )e ıkl x (74) providing Ψ A=à is expanded in Fourier series as in (72). Equation (74) can be written as r = N P(Ψ A=Ã, e ıkl x )e ıkl x which shows that Theore 2 is true. References L= P(Ψ A=Ã, e ıkl x )e ıkl x (75) [1] Batchelor, G. K An introduction to fluid dynaics. Cabridge University Press: Cabridge. [2] Fefferan, C. L Existence and soothness of the Navier Stokes equation. Clay atheatics Institute: official proble description. 9
2 Q 10. Likewise, in case of multiple particles, the corresponding density in 2 must be averaged over all
Lecture 6 Introduction to kinetic theory of plasa waves Introduction to kinetic theory So far we have been odeling plasa dynaics using fluid equations. The assuption has been that the pressure can be either
More informationThe path integral approach in the frame work of causal interpretation
Annales de la Fondation Louis de Broglie, Volue 28 no 1, 2003 1 The path integral approach in the frae work of causal interpretation M. Abolhasani 1,2 and M. Golshani 1,2 1 Institute for Studies in Theoretical
More information12 Towards hydrodynamic equations J Nonlinear Dynamics II: Continuum Systems Lecture 12 Spring 2015
18.354J Nonlinear Dynaics II: Continuu Systes Lecture 12 Spring 2015 12 Towards hydrodynaic equations The previous classes focussed on the continuu description of static (tie-independent) elastic systes.
More informationarxiv:math/ v1 [math.nt] 6 Apr 2005
SOME PROPERTIES OF THE PSEUDO-SMARANDACHE FUNCTION arxiv:ath/05048v [ath.nt] 6 Apr 005 RICHARD PINCH Abstract. Charles Ashbacher [] has posed a nuber of questions relating to the pseudo-sarandache function
More informationIII.H Zeroth Order Hydrodynamics
III.H Zeroth Order Hydrodynaics As a first approxiation, we shall assue that in local equilibriu, the density f 1 at each point in space can be represented as in eq.iii.56, i.e. f 0 1 p, q, t = n q, t
More informationLecture 21 Principle of Inclusion and Exclusion
Lecture 21 Principle of Inclusion and Exclusion Holden Lee and Yoni Miller 5/6/11 1 Introduction and first exaples We start off with an exaple Exaple 11: At Sunnydale High School there are 28 students
More informationlecture 36: Linear Multistep Mehods: Zero Stability
95 lecture 36: Linear Multistep Mehods: Zero Stability 5.6 Linear ultistep ethods: zero stability Does consistency iply convergence for linear ultistep ethods? This is always the case for one-step ethods,
More informationA Simple Regression Problem
A Siple Regression Proble R. M. Castro March 23, 2 In this brief note a siple regression proble will be introduced, illustrating clearly the bias-variance tradeoff. Let Y i f(x i ) + W i, i,..., n, where
More informationThe degree of a typical vertex in generalized random intersection graph models
Discrete Matheatics 306 006 15 165 www.elsevier.co/locate/disc The degree of a typical vertex in generalized rando intersection graph odels Jerzy Jaworski a, Michał Karoński a, Dudley Stark b a Departent
More informationResearch Article Some Formulae of Products of the Apostol-Bernoulli and Apostol-Euler Polynomials
Discrete Dynaics in Nature and Society Volue 202, Article ID 927953, pages doi:055/202/927953 Research Article Soe Forulae of Products of the Apostol-Bernoulli and Apostol-Euler Polynoials Yuan He and
More informationProbability and Stochastic Processes: A Friendly Introduction for Electrical and Computer Engineers Roy D. Yates and David J.
Probability and Stochastic Processes: A Friendly Introduction for Electrical and oputer Engineers Roy D. Yates and David J. Goodan Proble Solutions : Yates and Goodan,1..3 1.3.1 1.4.6 1.4.7 1.4.8 1..6
More informationCurious Bounds for Floor Function Sums
1 47 6 11 Journal of Integer Sequences, Vol. 1 (018), Article 18.1.8 Curious Bounds for Floor Function Sus Thotsaporn Thanatipanonda and Elaine Wong 1 Science Division Mahidol University International
More informationExplicit Analytic Solution for an. Axisymmetric Stagnation Flow and. Heat Transfer on a Moving Plate
Int. J. Contep. Math. Sciences, Vol. 5,, no. 5, 699-7 Explicit Analytic Solution for an Axisyetric Stagnation Flow and Heat Transfer on a Moving Plate Haed Shahohaadi Mechanical Engineering Departent,
More informationGeneralized eigenfunctions and a Borel Theorem on the Sierpinski Gasket.
Generalized eigenfunctions and a Borel Theore on the Sierpinski Gasket. Kasso A. Okoudjou, Luke G. Rogers, and Robert S. Strichartz May 26, 2006 1 Introduction There is a well developed theory (see [5,
More informationAdvanced Dynamical Meteorology
Advanced Dynaical Meteorology Roger K. Sith CH03 Waves on oving stratified flows Sall-aplitude internal gravity waves in a stratified shear flow U = (U(z),0,0), including the special case of unifor flow
More informationTRAVELING WAVE SOLUTIONS OF THE POROUS MEDIUM EQUATION. Laxmi P. Paudel. Dissertation Prepared for the Degree of DOCTOR OF PHILOSOPHY
TRAVELING WAVE SOLUTIONS OF THE POROUS MEDIUM EQUATION Laxi P Paudel Dissertation Prepared for the Degree of DOCTOR OF PHILOSOPHY UNIVERSITY OF NORTH TEXAS May 013 APPROVED: Joseph Iaia, Major Professor
More informationThe Lagrangian Method vs. other methods (COMPARATIVE EXAMPLE)
The Lagrangian ethod vs. other ethods () This aterial written by Jozef HANC, jozef.hanc@tuke.sk Technical University, Kosice, Slovakia For Edwin Taylor s website http://www.eftaylor.co/ 6 January 003 The
More information1 Brownian motion and the Langevin equation
Figure 1: The robust appearance of Robert Brown (1773 1858) 1 Brownian otion and the Langevin equation In 1827, while exaining pollen grains and the spores of osses suspended in water under a icroscope,
More informationBernoulli Numbers. Junior Number Theory Seminar University of Texas at Austin September 6th, 2005 Matilde N. Lalín. m 1 ( ) m + 1 k. B m.
Bernoulli Nubers Junior Nuber Theory Seinar University of Texas at Austin Septeber 6th, 5 Matilde N. Lalín I will ostly follow []. Definition and soe identities Definition 1 Bernoulli nubers are defined
More informationThe Hydrogen Atom. Nucleus charge +Ze mass m 1 coordinates x 1, y 1, z 1. Electron charge e mass m 2 coordinates x 2, y 2, z 2
The Hydrogen Ato The only ato that can be solved exactly. The results becoe the basis for understanding all other atos and olecules. Orbital Angular Moentu Spherical Haronics Nucleus charge +Ze ass coordinates
More informationThe Weierstrass Approximation Theorem
36 The Weierstrass Approxiation Theore Recall that the fundaental idea underlying the construction of the real nubers is approxiation by the sipler rational nubers. Firstly, nubers are often deterined
More information1 Bounding the Margin
COS 511: Theoretical Machine Learning Lecturer: Rob Schapire Lecture #12 Scribe: Jian Min Si March 14, 2013 1 Bounding the Margin We are continuing the proof of a bound on the generalization error of AdaBoost
More informationA Note on Scheduling Tall/Small Multiprocessor Tasks with Unit Processing Time to Minimize Maximum Tardiness
A Note on Scheduling Tall/Sall Multiprocessor Tasks with Unit Processing Tie to Miniize Maxiu Tardiness Philippe Baptiste and Baruch Schieber IBM T.J. Watson Research Center P.O. Box 218, Yorktown Heights,
More information4 = (0.02) 3 13, = 0.25 because = 25. Simi-
Theore. Let b and be integers greater than. If = (. a a 2 a i ) b,then for any t N, in base (b + t), the fraction has the digital representation = (. a a 2 a i ) b+t, where a i = a i + tk i with k i =
More informationSOLUTIONS. PROBLEM 1. The Hamiltonian of the particle in the gravitational field can be written as, x 0, + U(x), U(x) =
SOLUTIONS PROBLEM 1. The Hailtonian of the particle in the gravitational field can be written as { Ĥ = ˆp2, x 0, + U(x), U(x) = (1) 2 gx, x > 0. The siplest estiate coes fro the uncertainty relation. If
More informationChapter 1: Basics of Vibrations for Simple Mechanical Systems
Chapter 1: Basics of Vibrations for Siple Mechanical Systes Introduction: The fundaentals of Sound and Vibrations are part of the broader field of echanics, with strong connections to classical echanics,
More informationHORIZONTAL MOTION WITH RESISTANCE
DOING PHYSICS WITH MATLAB MECHANICS HORIZONTAL MOTION WITH RESISTANCE Ian Cooper School of Physics, Uniersity of Sydney ian.cooper@sydney.edu.au DOWNLOAD DIRECTORY FOR MATLAB SCRIPTS ec_fr_b. This script
More informationLectures 8 & 9: The Z-transform.
Lectures 8 & 9: The Z-transfor. 1. Definitions. The Z-transfor is defined as a function series (a series in which each ter is a function of one or ore variables: Z[] where is a C valued function f : N
More informationABSTRACT INTRODUCTION
Wave Resistance Prediction of a Cataaran by Linearised Theory M.INSEL Faculty of Naval Architecture and Ocean Engineering, Istanbul Technical University, TURKEY A.F.MOLLAND, J.F.WELLICOME Departent of
More informationLecture 21. Interior Point Methods Setup and Algorithm
Lecture 21 Interior Point Methods In 1984, Kararkar introduced a new weakly polynoial tie algorith for solving LPs [Kar84a], [Kar84b]. His algorith was theoretically faster than the ellipsoid ethod and
More informationOn Certain C-Test Words for Free Groups
Journal of Algebra 247, 509 540 2002 doi:10.1006 jabr.2001.9001, available online at http: www.idealibrary.co on On Certain C-Test Words for Free Groups Donghi Lee Departent of Matheatics, Uni ersity of
More informationDonald Fussell. October 28, Computer Science Department The University of Texas at Austin. Point Masses and Force Fields.
s Vector Moving s and Coputer Science Departent The University of Texas at Austin October 28, 2014 s Vector Moving s Siple classical dynaics - point asses oved by forces Point asses can odel particles
More informationA := A i : {A i } S. is an algebra. The same object is obtained when the union in required to be disjoint.
59 6. ABSTRACT MEASURE THEORY Having developed the Lebesgue integral with respect to the general easures, we now have a general concept with few specific exaples to actually test it on. Indeed, so far
More informationQuantum algorithms (CO 781, Winter 2008) Prof. Andrew Childs, University of Waterloo LECTURE 15: Unstructured search and spatial search
Quantu algoriths (CO 781, Winter 2008) Prof Andrew Childs, University of Waterloo LECTURE 15: Unstructured search and spatial search ow we begin to discuss applications of quantu walks to search algoriths
More informationAPPROXIMATION BY MODIFIED SZÁSZ-MIRAKYAN OPERATORS
APPROXIMATION BY MODIFIED SZÁSZ-MIRAKYAN OPERATORS Received: 23 Deceber, 2008 Accepted: 28 May, 2009 Counicated by: L. REMPULSKA AND S. GRACZYK Institute of Matheatics Poznan University of Technology ul.
More informationPolygonal Designs: Existence and Construction
Polygonal Designs: Existence and Construction John Hegean Departent of Matheatics, Stanford University, Stanford, CA 9405 Jeff Langford Departent of Matheatics, Drake University, Des Moines, IA 5011 G
More informationDynamics of scaled norms of vorticity for the three-dimensional Navier-Stokes and Euler equations
Available online at wwwsciencedirectco Procedia IUAM 7 213 ) 39 48 opological Fluid Dynaics: heory and Applications Dynaics of scaled nors of vorticity for the three-diensional Navier-Stokes and Euler
More informationAnswers to assigned problems from Chapter 1
Answers to assigned probles fro Chapter 1 1.7. a. A colun of ercury 1 in cross-sectional area and 0.001 in height has a volue of 0.001 and a ass of 0.001 1 595.1 kg. Then 1 Hg 0.001 1 595.1 kg 9.806 65
More informationAnswers to Econ 210A Midterm, October A. The function f is homogeneous of degree 1/2. To see this, note that for all t > 0 and all (x 1, x 2 )
Question. Answers to Econ 20A Midter, October 200 f(x, x 2 ) = ax {x, x 2 } A. The function f is hoogeneous of degree /2. To see this, note that for all t > 0 and all (x, x 2 ) f(tx, x 2 ) = ax {tx, tx
More informationma x = -bv x + F rod.
Notes on Dynaical Systes Dynaics is the study of change. The priary ingredients of a dynaical syste are its state and its rule of change (also soeties called the dynaic). Dynaical systes can be continuous
More informationGibbs Phenomenon for Wavelets
APPLIED AND COMPUTATIONAL HAMONIC ANALYSIS 3, 72 81 (1996) ATICLE NO. 6 Gibbs Phenoenon for Wavelets Susan E. Kelly 1 Departent of Matheatics, University of Wisconsin La Crosse, La Crosse, Wisconsin 5461
More informationComparison of Stability of Selected Numerical Methods for Solving Stiff Semi- Linear Differential Equations
International Journal of Applied Science and Technology Vol. 7, No. 3, Septeber 217 Coparison of Stability of Selected Nuerical Methods for Solving Stiff Sei- Linear Differential Equations Kwaku Darkwah
More informationWork, Energy and Momentum
Work, Energy and Moentu Work: When a body oves a distance d along straight line, while acted on by a constant force of agnitude F in the sae direction as the otion, the work done by the force is tered
More informationSolutions 1. Introduction to Coding Theory - Spring 2010 Solutions 1. Exercise 1.1. See Examples 1.2 and 1.11 in the course notes.
Solutions 1 Exercise 1.1. See Exaples 1.2 and 1.11 in the course notes. Exercise 1.2. Observe that the Haing distance of two vectors is the iniu nuber of bit flips required to transfor one into the other.
More informationMA304 Differential Geometry
MA304 Differential Geoetry Hoework 4 solutions Spring 018 6% of the final ark 1. The paraeterised curve αt = t cosh t for t R is called the catenary. Find the curvature of αt. Solution. Fro hoework question
More informationList Scheduling and LPT Oliver Braun (09/05/2017)
List Scheduling and LPT Oliver Braun (09/05/207) We investigate the classical scheduling proble P ax where a set of n independent jobs has to be processed on 2 parallel and identical processors (achines)
More informationPh 20.3 Numerical Solution of Ordinary Differential Equations
Ph 20.3 Nuerical Solution of Ordinary Differential Equations Due: Week 5 -v20170314- This Assignent So far, your assignents have tried to failiarize you with the hardware and software in the Physics Coputing
More informationModel Fitting. CURM Background Material, Fall 2014 Dr. Doreen De Leon
Model Fitting CURM Background Material, Fall 014 Dr. Doreen De Leon 1 Introduction Given a set of data points, we often want to fit a selected odel or type to the data (e.g., we suspect an exponential
More informationRECOVERY OF A DENSITY FROM THE EIGENVALUES OF A NONHOMOGENEOUS MEMBRANE
Proceedings of ICIPE rd International Conference on Inverse Probles in Engineering: Theory and Practice June -8, 999, Port Ludlow, Washington, USA : RECOVERY OF A DENSITY FROM THE EIGENVALUES OF A NONHOMOGENEOUS
More information13 Harmonic oscillator revisited: Dirac s approach and introduction to Second Quantization
3 Haronic oscillator revisited: Dirac s approach and introduction to Second Quantization. Dirac cae up with a ore elegant way to solve the haronic oscillator proble. We will now study this approach. The
More informationUniform Approximation and Bernstein Polynomials with Coefficients in the Unit Interval
Unifor Approxiation and Bernstein Polynoials with Coefficients in the Unit Interval Weiang Qian and Marc D. Riedel Electrical and Coputer Engineering, University of Minnesota 200 Union St. S.E. Minneapolis,
More informationMotion Analysis of Euler s Disk
Motion Analysis of Euler s Disk Katsuhiko Yaada Osaka University) Euler s Disk is a nae of a scientific toy and its otion is the sae as a spinning coin. In this study, a siple atheatical odel is proposed
More informationInfinitely Many Trees Have Non-Sperner Subtree Poset
Order (2007 24:133 138 DOI 10.1007/s11083-007-9064-2 Infinitely Many Trees Have Non-Sperner Subtree Poset Andrew Vince Hua Wang Received: 3 April 2007 / Accepted: 25 August 2007 / Published online: 2 October
More informationI. Understand get a conceptual grasp of the problem
MASSACHUSETTS INSTITUTE OF TECHNOLOGY Departent o Physics Physics 81T Fall Ter 4 Class Proble 1: Solution Proble 1 A car is driving at a constant but unknown velocity,, on a straightaway A otorcycle is
More informationUSEFUL HINTS FOR SOLVING PHYSICS OLYMPIAD PROBLEMS. By: Ian Blokland, Augustana Campus, University of Alberta
1 USEFUL HINTS FOR SOLVING PHYSICS OLYMPIAD PROBLEMS By: Ian Bloland, Augustana Capus, University of Alberta For: Physics Olypiad Weeend, April 6, 008, UofA Introduction: Physicists often attept to solve
More informationAN APPLICATION OF CUBIC B-SPLINE FINITE ELEMENT METHOD FOR THE BURGERS EQUATION
Aksan, E..: An Applıcatıon of Cubıc B-Splıne Fınıte Eleent Method for... THERMAL SCIECE: Year 8, Vol., Suppl., pp. S95-S S95 A APPLICATIO OF CBIC B-SPLIE FIITE ELEMET METHOD FOR THE BRGERS EQATIO by Eine
More informationConcentration of ground states in stationary Mean-Field Games systems: part I
Concentration of ground states in stationary Mean-Field Gaes systes: part I Annalisa Cesaroni and Marco Cirant June 9, 207 Abstract In this paper we provide the existence of classical solutions to soe
More informationPerturbation on Polynomials
Perturbation on Polynoials Isaila Diouf 1, Babacar Diakhaté 1 & Abdoul O Watt 2 1 Départeent Maths-Infos, Université Cheikh Anta Diop, Dakar, Senegal Journal of Matheatics Research; Vol 5, No 3; 2013 ISSN
More informationE0 370 Statistical Learning Theory Lecture 5 (Aug 25, 2011)
E0 370 Statistical Learning Theory Lecture 5 Aug 5, 0 Covering Nubers, Pseudo-Diension, and Fat-Shattering Diension Lecturer: Shivani Agarwal Scribe: Shivani Agarwal Introduction So far we have seen how
More informationChaotic Coupled Map Lattices
Chaotic Coupled Map Lattices Author: Dustin Keys Advisors: Dr. Robert Indik, Dr. Kevin Lin 1 Introduction When a syste of chaotic aps is coupled in a way that allows the to share inforation about each
More informationQ5 We know that a mass at the end of a spring when displaced will perform simple m harmonic oscillations with a period given by T = 2!
Chapter 4.1 Q1 n oscillation is any otion in which the displaceent of a particle fro a fixed point keeps changing direction and there is a periodicity in the otion i.e. the otion repeats in soe way. In
More informationChapter 6 1-D Continuous Groups
Chapter 6 1-D Continuous Groups Continuous groups consist of group eleents labelled by one or ore continuous variables, say a 1, a 2,, a r, where each variable has a well- defined range. This chapter explores:
More informationKeywords: Estimator, Bias, Mean-squared error, normality, generalized Pareto distribution
Testing approxiate norality of an estiator using the estiated MSE and bias with an application to the shape paraeter of the generalized Pareto distribution J. Martin van Zyl Abstract In this work the norality
More informationThe Wilson Model of Cortical Neurons Richard B. Wells
The Wilson Model of Cortical Neurons Richard B. Wells I. Refineents on the odgkin-uxley Model The years since odgkin s and uxley s pioneering work have produced a nuber of derivative odgkin-uxley-like
More informationComputational and Statistical Learning Theory
Coputational and Statistical Learning Theory Proble sets 5 and 6 Due: Noveber th Please send your solutions to learning-subissions@ttic.edu Notations/Definitions Recall the definition of saple based Radeacher
More informationFourier Series Summary (From Salivahanan et al, 2002)
Fourier Series Suary (Fro Salivahanan et al, ) A periodic continuous signal f(t), - < t
More informationPRÜFER SUBSTITUTIONS ON A COUPLED SYSTEM INVOLVING THE p-laplacian
Electronic Journal of Differential Equations, Vol. 23 (23), No. 23, pp. 9. ISSN: 72-669. URL: http://ejde.ath.txstate.edu or http://ejde.ath.unt.edu ftp ejde.ath.txstate.edu PRÜFER SUBSTITUTIONS ON A COUPLED
More informationP (t) = P (t = 0) + F t Conclusion: If we wait long enough, the velocity of an electron will diverge, which is obviously impossible and wrong.
4 Phys520.nb 2 Drude theory ~ Chapter in textbook 2.. The relaxation tie approxiation Here we treat electrons as a free ideal gas (classical) 2... Totally ignore interactions/scatterings Under a static
More informationPrerequisites. We recall: Theorem 2 A subset of a countably innite set is countable.
Prerequisites 1 Set Theory We recall the basic facts about countable and uncountable sets, union and intersection of sets and iages and preiages of functions. 1.1 Countable and uncountable sets We can
More informationDETECTION OF NONLINEARITY IN VIBRATIONAL SYSTEMS USING THE SECOND TIME DERIVATIVE OF ABSOLUTE ACCELERATION
DETECTION OF NONLINEARITY IN VIBRATIONAL SYSTEMS USING THE SECOND TIME DERIVATIVE OF ABSOLUTE ACCELERATION Masaki WAKUI 1 and Jun IYAMA and Tsuyoshi KOYAMA 3 ABSTRACT This paper shows a criteria to detect
More informationM ath. Res. Lett. 15 (2008), no. 2, c International Press 2008 SUM-PRODUCT ESTIMATES VIA DIRECTED EXPANDERS. Van H. Vu. 1.
M ath. Res. Lett. 15 (2008), no. 2, 375 388 c International Press 2008 SUM-PRODUCT ESTIMATES VIA DIRECTED EXPANDERS Van H. Vu Abstract. Let F q be a finite field of order q and P be a polynoial in F q[x
More informationRIEMANN-ROCH FOR PUNCTURED CURVES VIA ANALYTIC PERTURBATION THEORY [SKETCH]
RIEMANN-ROCH FOR PUNCTURED CURVES VIA ANALYTIC PERTURBATION THEORY [SKETCH] CHRIS GERIG Abstract. In [Tau96], Taubes proved the Rieann-Roch theore for copact Rieann surfaces, as a by-product of taking
More informationCSE525: Randomized Algorithms and Probabilistic Analysis May 16, Lecture 13
CSE55: Randoied Algoriths and obabilistic Analysis May 6, Lecture Lecturer: Anna Karlin Scribe: Noah Siegel, Jonathan Shi Rando walks and Markov chains This lecture discusses Markov chains, which capture
More informationStability Ordinates of Adams Predictor-Corrector Methods
BIT anuscript No. will be inserted by the editor Stability Ordinates of Adas Predictor-Corrector Methods Michelle L. Ghrist Jonah A. Reeger Bengt Fornberg Received: date / Accepted: date Abstract How far
More informationIn this chapter we will start the discussion on wave phenomena. We will study the following topics:
Chapter 16 Waves I In this chapter we will start the discussion on wave phenoena. We will study the following topics: Types of waves Aplitude, phase, frequency, period, propagation speed of a wave Mechanical
More informationwhich is the moment of inertia mm -- the center of mass is given by: m11 r m2r 2
Chapter 6: The Rigid Rotator * Energy Levels of the Rigid Rotator - this is the odel for icrowave/rotational spectroscopy - a rotating diatoic is odeled as a rigid rotator -- we have two atos with asses
More informationBootstrapping Dependent Data
Bootstrapping Dependent Data One of the key issues confronting bootstrap resapling approxiations is how to deal with dependent data. Consider a sequence fx t g n t= of dependent rando variables. Clearly
More informationSupporting Information for Supression of Auger Processes in Confined Structures
Supporting Inforation for Supression of Auger Processes in Confined Structures George E. Cragg and Alexander. Efros Naval Research aboratory, Washington, DC 20375, USA 1 Solution of the Coupled, Two-band
More informationLecture 21 Nov 18, 2015
CS 388R: Randoized Algoriths Fall 05 Prof. Eric Price Lecture Nov 8, 05 Scribe: Chad Voegele, Arun Sai Overview In the last class, we defined the ters cut sparsifier and spectral sparsifier and introduced
More informationCourse Notes for EE227C (Spring 2018): Convex Optimization and Approximation
Course Notes for EE7C (Spring 018: Convex Optiization and Approxiation Instructor: Moritz Hardt Eail: hardt+ee7c@berkeley.edu Graduate Instructor: Max Sichowitz Eail: sichow+ee7c@berkeley.edu October 15,
More informationarxiv: v1 [math.nt] 14 Sep 2014
ROTATION REMAINDERS P. JAMESON GRABER, WASHINGTON AND LEE UNIVERSITY 08 arxiv:1409.411v1 [ath.nt] 14 Sep 014 Abstract. We study properties of an array of nubers, called the triangle, in which each row
More informationModeling Chemical Reactions with Single Reactant Specie
Modeling Cheical Reactions with Single Reactant Specie Abhyudai Singh and João edro Hespanha Abstract A procedure for constructing approxiate stochastic odels for cheical reactions involving a single reactant
More informationSOLUTIONS for Homework #3
SOLUTIONS for Hoework #3 1. In the potential of given for there is no unboun states. Boun states have positive energies E n labele by an integer n. For each energy level E, two syetrically locate classical
More informationBlock designs and statistics
Bloc designs and statistics Notes for Math 447 May 3, 2011 The ain paraeters of a bloc design are nuber of varieties v, bloc size, nuber of blocs b. A design is built on a set of v eleents. Each eleent
More informationHermite s Rule Surpasses Simpson s: in Mathematics Curricula Simpson s Rule. Should be Replaced by Hermite s
International Matheatical Foru, 4, 9, no. 34, 663-686 Herite s Rule Surpasses Sipson s: in Matheatics Curricula Sipson s Rule Should be Replaced by Herite s Vito Lapret University of Lublana Faculty of
More informationLATTICE POINT SOLUTION OF THE GENERALIZED PROBLEM OF TERQUEi. AND AN EXTENSION OF FIBONACCI NUMBERS.
i LATTICE POINT SOLUTION OF THE GENERALIZED PROBLEM OF TERQUEi. AND AN EXTENSION OF FIBONACCI NUMBERS. C. A. CHURCH, Jr. and H. W. GOULD, W. Virginia University, Morgantown, W. V a. In this paper we give
More informationPhysics 201, Lecture 15
Physics 0, Lecture 5 Today s Topics q More on Linear Moentu And Collisions Elastic and Perfect Inelastic Collision (D) Two Diensional Elastic Collisions Exercise: Billiards Board Explosion q Multi-Particle
More informationE0 370 Statistical Learning Theory Lecture 6 (Aug 30, 2011) Margin Analysis
E0 370 tatistical Learning Theory Lecture 6 (Aug 30, 20) Margin Analysis Lecturer: hivani Agarwal cribe: Narasihan R Introduction In the last few lectures we have seen how to obtain high confidence bounds
More informationCh 12: Variations on Backpropagation
Ch 2: Variations on Backpropagation The basic backpropagation algorith is too slow for ost practical applications. It ay take days or weeks of coputer tie. We deonstrate why the backpropagation algorith
More informationAn Approximate Model for the Theoretical Prediction of the Velocity Increase in the Intermediate Ballistics Period
An Approxiate Model for the Theoretical Prediction of the Velocity... 77 Central European Journal of Energetic Materials, 205, 2(), 77-88 ISSN 2353-843 An Approxiate Model for the Theoretical Prediction
More informationJacobi symbols. p 1. Note: The Jacobi symbol does not necessarily distinguish between quadratic residues and nonresidues. That is, we could have ( a
Jacobi sybols efiitio Let be a odd positive iteger If 1, the Jacobi sybol : Z C is the costat fuctio 1 1 If > 1, it has a decopositio ( as ) a product of (ot ecessarily distict) pries p 1 p r The Jacobi
More informationMulti-Scale/Multi-Resolution: Wavelet Transform
Multi-Scale/Multi-Resolution: Wavelet Transfor Proble with Fourier Fourier analysis -- breaks down a signal into constituent sinusoids of different frequencies. A serious drawback in transforing to the
More informationProjectile Motion with Air Resistance (Numerical Modeling, Euler s Method)
Projectile Motion with Air Resistance (Nuerical Modeling, Euler s Method) Theory Euler s ethod is a siple way to approxiate the solution of ordinary differential equations (ode s) nuerically. Specifically,
More informationConsistent Multiclass Algorithms for Complex Performance Measures. Supplementary Material
Consistent Multiclass Algoriths for Coplex Perforance Measures Suppleentary Material Notations. Let λ be the base easure over n given by the unifor rando variable (say U over n. Hence, for all easurable
More informationENGI 3424 Engineering Mathematics Problem Set 1 Solutions (Sections 1.1 and 1.2)
ENGI 344 Engineering Matheatics Proble Set 1 Solutions (Sections 1.1 and 1.) 1. Find the general solution of the ordinary differential equation y 0 This ODE is not linear (due to the product y ). However,
More informationQuantum Chemistry Exam 2 Take-home Solutions
Cheistry 60 Fall 07 Dr Jean M Standard Nae KEY Quantu Cheistry Exa Take-hoe Solutions 5) (0 points) In this proble, the nonlinear variation ethod will be used to deterine an approxiate solution for the
More informationMODULAR HYPERBOLAS AND THE CONGRUENCE ax 1 x 2 x k + bx k+1 x k+2 x 2k c (mod m)
#A37 INTEGERS 8 (208) MODULAR HYPERBOLAS AND THE CONGRUENCE ax x 2 x k + bx k+ x k+2 x 2k c (od ) Anwar Ayyad Departent of Matheatics, Al Azhar University, Gaza Strip, Palestine anwarayyad@yahoo.co Todd
More informationPHYS 102 Previous Exam Problems
PHYS 102 Previous Exa Probles CHAPTER 16 Waves Transverse waves on a string Power Interference of waves Standing waves Resonance on a string 1. The displaceent of a string carrying a traveling sinusoidal
More informationSolving initial value problems by residual power series method
Theoretical Matheatics & Applications, vol.3, no.1, 13, 199-1 ISSN: 179-9687 (print), 179-979 (online) Scienpress Ltd, 13 Solving initial value probles by residual power series ethod Mohaed H. Al-Sadi
More informationSupplement to: Subsampling Methods for Persistent Homology
Suppleent to: Subsapling Methods for Persistent Hoology A. Technical results In this section, we present soe technical results that will be used to prove the ain theores. First, we expand the notation
More information