Vectors and Tensors. R. Shankar Subramanian. R. Aris, Vectors, Tensors, and the Equations of Fluid Mechanics, Prentice Hall (1962).

Size: px
Start display at page:

Download "Vectors and Tensors. R. Shankar Subramanian. R. Aris, Vectors, Tensors, and the Equations of Fluid Mechanics, Prentice Hall (1962)."

Transcription

1 005 Vectors nd Tensors R. Shnkr Subrmnn Good Sources R. rs, Vectors, Tensors, nd the Equtons of Flud Mechncs, Prentce Hll (96). nd ppendces n () R. B. Brd, W. E. Stewrt, nd E. N. Lghtfoot, Trnsport Phenomen, John Wley, 00. () J. Slttery, Momentum, Energy, nd Mss Trnsfer n Contnu, McGrw-Hll, 97. Some Bscs We encounter physcl enttes such s poston, velocty, momentum, stress, temperture het flux, concentrton, nd mss flux n trnsport problems - there s need to descrbe them n mthemtcl terms nd mnpulte the representtons n vrous wys. Ths requres the tools of tensor nlyss. Sclrs n entty such s temperture or concentrton tht hs mgntude (nd some unts tht need not concern us rght now), but no sense of drecton, s represented by sclr. Vectors In contrst, consder the velocty of prtcle or element of flud; to descrbe t fully, we need to specfy both ts mgntude ( n some sutble unts) nd ts nstntneous sptl drecton. Other exmples re momentum, het flux, nd mss flux. These qunttes re descrbed by vectors. In books, vectors re prnted n boldfce. In ordnry wrtng, we my represent vector n dfferent wys. vvv,, or v Gbbs notton ndex notton The lst requres comment. Wheres we represent the vectorl quntty wth symbol, we often know t only v ts components n some bss set. Note tht the vector s n entty hs n nvrnt dentty ndependent of the bss set n whch we choose to represent t.

2 In ndex notton, the subscrpt s free ndex - tht s, t s llowed to tke on ny of the three vlues,,, n -dmensonl spce. Thus, relly stnds for the ordered set v, v, v. Bss Sets v ( ) The most common bss set n three-dmensonl spce s the orthogonl trd (, j, k ) correspondng to rectngulr Crtesn coordnte system. stnds for unt vector n the x- drecton nd j nd k represent unt vectors n the y nd z-drectons respectvely. Note tht ths s not unque bss set. The drectons of, j, k depend on our choce of the coordnte drectons. There s no reson for the bss set to be composed of orthogonl vectors. The only requrement s tht the three vectors chosen do not le n plne. Orthogonl sets re the most convenent, however. We fnd the components of vector n the drectons of the bse vectors by tkng nner (dot) products. v = v, v = v j, v = v k Then, v = vx + vy j+ vzk x y z You cn verfy the consstency of the bove by tkng nner products of both sdes of the equton wth the bse vectors nd recognzng tht the bse vectors re orthogonl. j = j k = k 0 The order of the vectors n the nner product s unmportnt. b = b Sclr nd Vector Felds In prctce the temperture, velocty, nd concentrton n flud vry from pont to pont (nd often wth tme). Thus, we thnk of felds - temperture feld, velocty feld, etc. In the cse of vector feld such s the velocty n flud, we need to represent the velocty t every pont n spce n the domn of nterest. The dvntge of the rectngulr Crtesn bss set (, j, k) s tht t s nvrnt s we trnslte the trd to ny pont n spce. Tht s, not only re these bse vectors of unt length, but they never chnge drecton s we move from one pont to nother, once we hve chosen our x, y, nd z drectons.

3 Vector Opertons The entty v hs n dentty of ts own. Its length nd sptl drecton re ndependent of the bss set we choose. s the vectors n the bss set chnge, the components of v chnge ccordng to stndrd rules. Vectors cn be dded; the results re new vectors. If we use component representton, we smply dd ech component. Subtrcton works n smlr mnner. Vectors lso cn be multpled, but there re two wys to do t. We defne the dot nd cross products, lso known s nner nd vector products, respectvely, s shown below. b = xbx + yby + zbz s sclr. We commonly use numercl subscrpt for the components; n ( ) ths cse, the bss set s the orthogonl trd e (), e ( ), e ( ). Let Then, = + + e e e () ( ) ( ) b = b + b+ b = b = In the bove, we usully omt mpled. =. When n ndex s repeted, summton over tht ndex s b = b Ths s clled the summton conventon = = or where s the length of s the bss set s ltered. nd s nvrnt; nvrnt mens tht the entty does not chnge b s the vector product. s mpled by the nme, t s vector; t s norml to the plne contnng nd b. (, b, b) form rght-hnded system (ths s n rbtrry conventon, but we hve to choose one or the other, so we choose rght ). The order s mportnt, for, b = b

4 tht s, b ponts opposte to b. We cn wrte b = e b () e b () e b () There s compct representton of determnnt tht helps us wrte b = ε b jk j (Note tht k s free ndex. The ctul symbol chosen for t s not mportnt; wht mtters s tht the rght sde hs one free ndex, mkng t vector) ε jk s clled the permutton symbol ε = 0 f ny two of the ndces re the sme jk =+ f, j, k form n even permutton of,, [exmple:,,] = f, j, k We cn ssgn geometrc nterpretton to nd b s θ, then b = b cos θ form n odd permutton of,, [exmple:,, ] b nd b. If the ngle between the two vectors nd the length of b s b snθ. You my lso recognze bsnθ s the re of the prllelogrm formed by nd b s two djcent sdes. Gven ths, t s strghtforwrd to see tht b c = ε b c jk j k s the volume of the prllelepped wth sdes b,,ndc Second Order Tensors. Ths s clled the trple sclr product. Note tht we dd not defne vector dvson. The closest we come s n the defnton of second-order tensors! 4

5 Imgne Insted, we wrte b =Τ =Τ b tensor (unless explctly stted otherwse we ll only be tlkng bout second-order nd shll therefore omt syng t every tme) opertes on vector to yeld nother vector. It s very useful to thnk of tensors s opertors s you ll see lter. Note the dot product bove. Usng des from vectors, we cn see how the bove equton my be wrtten n ndex notton. =Τjb j It s mportnt to note tht b Τ would be bτ j nd would be dfferent from Τ b n generl. The two underbrs n Τ now tke on cler sgnfcnce; we re referrng to doubly subscrpted entty. We cn thnk of tensor s sum of components n the sme wy s vector. For ths, we use the followng result. e Τ e =Τ Sclr () ( j) j We re not usng ndex notton here Thus, to get Τ we would fnd e( ) Τ e ( ). We cn then thnk of T s sum. Τ=Τ e e +Τ e e +Τ e e () () () ( ) () ( ) +Τ e e +Τ e e +Τ e e ( ) () ( ) ( ) ( ) ( ) +Τ e e +Τ e e +Τ e e ( ) () ( ) ( ) ( ) ( ) Wht re the qunttes e () e ( ) nd others lke them? They re clled dyds. They re bss set for representng tensors. Ech s tensor tht only hs one component n ths bss set. Note tht e e e e. () ( j) ( j) ( ) You cn see tht tensors nd mtrces hve lot n common! 5

6 In fct, we commonly wrte the components of tensor s the elements of x mtrx. Τ Τ Τ Τ Τ Τ Τ Τ Τ Nturlly, s we chnge our bss set, the components of gven tensor wll chnge, but the entty tself does not chnge. Of course, unlke vectors, we cnnot vsulze tensors we only know them by wht they do to vectors tht we feed them! good exmple of tensor n flud mechncs s the stress t pont. To completely specfy the stress vector, we not only need to specfy the pont, but lso the orentton of the re element. t gven pont, we cn orent the re n nfntely mny drectons, nd for ech orentton, the stress vector would, n generl be dfferent. Force Stress = re hs mgntude nd drecton hs mgntude nd drecton In fct, we cn show tht stress s ndeed tensor (for proof, see rs, p. 0). So, we get t = n Τ n t The symbol n represents the unt norml (vector) to the re element, nd t s the stress vector ctng on tht element. The second-order tensor Τ completely descrbes the stte of stress t pont. By conventon, t s the stress exerted by the flud nto whch n ponts on the flud djonng t. Invrnts Just s vector hs one nvrnt (ts length), tensor hs three nvrnts. They re defned s follows. 6

7 Let or j be the tensor. bbrevton I = = tr = trce{ } { } where II I II II = { } = tr Note: s the tensor j jk III = Determnnt of = Det{ } = ε jk j k = ε jk l j k s the bss set s chnged, the nvrnts do not chnge even though the components of the tensor my chnge. For more detls, consult rs, p. 6, 7 or Slttery, p. 47, 48. symmetrc tensor j s one for whch j =. Thus, there re only sx ndependent components. Stress s symmetrc tensor (except n unusul fluds). Symmetrc tensors wth rel elements re self-djont opertors, concept bout whch you cn lern more n dvnced work. skew-symmetrc tensor j s one for whch j dgonl elements must be zero ( ) j =. You cn see mmedtely tht the snce =. Skew-symmetrc tensors hve only three ndependent components. Vortcty s n exmple of skew symmetrc tensor. If we wrte skew-symmetrc tensor j n the form j We cn see tht there s vector tht cn be formed usng the elements of j. The two re relted by the followng result, whch s useful n the context of the physcl sgnfcnce of vortcty. 7

8 x = x There s specl tensor tht leves vector undsturbed. It s clled the dentty or unt tensor I. 00 I = I x = x for ny x In ndex notton, we wrte I s δ j, the Kronecker delt. Symmetrc tensors hve very specl property. Remember tht we defne tensor t pont; t tht pont, there re three specl drectons, orthogonl to ech other, ssocted wth symmetrc tensor. When the tensor opertes on vector n one of these drectons, t returns nother vector pontng n the sme (or exctly opposte) drecton! The new vector, however, wll hve dfferent length n generl. Ths mgnfcton fctor n the length s clled the prncpl vlue or egenvlue of the tensor. It cn, of course, be ether smller or lrger thn one; we cll t mgnfcton (for convenence) n both cses. Becuse there re, n generl, three drectons tht re specl, there re usully three dstnct prncpl vlues, one ssocted wth ech drecton. Even for tensors tht re not symmetrc, there re three prncpl vlues; however these need not ll be rel. Sometmes, two re complex. Even when the prncpl vlues re rel, the drectons ssocted wth them need not be orthogonl f the tensor s not symmetrc. The problem for the prncpl or egenvlues of s Therefore, x = λx λi x λ I x = 0 From lner lgebr, for non-trvl solutons of the bove system to exst, we must hve det λ I = 0 The resultng thrd degree equton for the egenvlues s λ + I λ II λ+ III = 0 8

9 nd hs three roots λ, λ, nd λ. When these roots re ech used, n turn, nd we solve for x, we obtn n egenvector tht s known only to wthn n rbtrry multplctve constnt. Commonly, the egenvector s normlzed so tht t hs unt length. From the bove, you cn see tht correspondng to symmetrc tensor, there s specl rectngulr Crtesn set of bss vectors. If we choose ths s the bss set, the tensor wll hve smple dgonl form wth the dgonl components beng the egenvlues. If you re wonderng wht hppens when two egenvlues re dentcl, t s esy to show tht ny vector n the plne norml to the thrd egenvector (correspondng to the thrd egenvlue) s cceptble s n egenvector. In other words, on tht plne, the tensor opertng on vector n ny drecton wll yeld vector n the sme drecton wth mgnfcton fctor correspondng to the repeted egenvlue. If ll three egenvlues re dentcl, then ny drecton n spce wll be cceptble s the drecton of the egenvectors. Such tensor s clled sotropc for ths reson. I s n sotropc tensor wth egenvlues equl to unty. ny sclr multple of I lso s sotropc. Fnlly, you probbly hve lredy relzed tht when n egenvlue s negtve, the tensor opertng on n egenvector n the correspondng drecton lters ts length pproprtely nd reverses the drecton. Vector Clculus If we consder sclr feld such s temperture, we fnd the rte of chnge wth dstnce n some drecton, x, by clcultng Τ x. How cn we represent the rte of chnge n three-dmensonl spce wthout specfyng prtculr drecton? We do ths v the grdent opertor. The entty Τ [we cll t grd T ] s vector feld. t gven pont n spce, the vector, Τ, ponts n the drecton of gretest chnge of T. To obtn the rte of chnge of T t tht pont n ny specfed drecton, n, we smply project Τ n tht drecton. Τ = Τ n n unt vector Surfces n spce on whch feld hs the sme vlue everywhere re contours. In the cse of temperture felds, these contours re clled sotherms. long such surfce, the temperture cnnot chnge. Therefore, the Τ vector s everywhere norml to sotherml surfces snce t must yeld vlue of zero when projected onto such surfces. It s strghtforwrd to estblsh from the defnton tht 9

10 e + e + e () ( ) ( ) x x x n rectngulr Crtesn coordnte system (,, ) x x x. Note tht s n opertor nd not vector. So, you should exercse cre n mnpultng t. The opertor s the generlzton of dervtve. We cn dfferentte vector felds n more thn one wy. Dvergence v or dv v s clled the dvergence of the vector feld v. If the rectngulr Crtesn components of v re vv, v, then, v v v v = + + x x x s you cn see, the result s sclr feld. Curl v or curl v s vector feld. s the nme mples, t mesures the rotton of the vector v. gn, n ( x, x, x ) coordntes, e e e () ( ) ( ) v = x x x v v v = ε jk v j x There re two mportnt theorems you should know. They re smply stted here wthout proof. 0

11 Dvergence Theorem If the volume V n spce s bounded by the surfce S, V dv = ds S ds V S The vector feld should be contnuous nd dfferentble. The symbol ds represents vector surfce element. If n s the unt norml to the surfce, ds = n ds The entty dv s volume element. In the theorem, the left sde s volume ntegrl nd the rght sde s n ntegrl over the surfce tht bounds the volume. Fnlly, need not be vector feld, but cn be tensor feld of ny order. The dvergence theorem, lso known s Green s trnsformton, s very useful result tht permts us to convert volume ntegrls nto surfce ntegrls. By pplyng t to n nfntesml volume, you cn vsulze the physcl sgnfcnce of the dvergence of vector feld t pont s the outwrd flow of the feld from tht pont. Stokes Theorem Ths permts the converson of ntegrls over surfce to those round boundng curve. Imgne surfce tht does not completely enclose volume, but rther s open, such s bsebll cp. Let S be the surfce nd C, the curve tht bounds t.

12 t S C If vector feld s defned everywhere necessry, nd s contnuous nd dfferentble, Stokes theorem sttes: S ( ) C ds = t ds ds : vector re element on S ds: sclr lne element on C t : unt tngent vector on C The ntegrl on the rght sde s known s the crculton of round the closed curve C. The feld pperng n the theorem cn be replced by tensor feld of ny desred order. By mgnng the surfce S to le completely on the plne of the pper s shown, you cn S C vsulze the physcl sgnfcnce of. If you mke S shrnk to n nfntesml re, the re

13 ntegrl on the left sde becomes the product of the component of norml to the plne of the pper nd the re. The lne ntegrl s stll the crculton round n nfntesml closed loop surroundng the pont. If s the velocty feld v, by mkng the boundry n nfntesml crcle of rdus ε, the rght sde cn be seen to be pproxmtely πε v, where v s the mgntude of the velocty round the loop. The left sde s pproxmtely πε ( v) n where n s the unt norml to v the plne of the pper. Therefore, ( v) n, whch becomes the nstntneous ngulr ε velocty of the flud t the pont on the plne of the pper s ε 0. Becuse there s nothng unque bout the choce of the plne of the pper, we cn see tht ( v) n fct represents the nstntneous ngulr velocty vector of flud element t gven pont, the component of whch n ny drecton s obtned by projectng n tht drecton. The Grdent of Vector Feld Just s we defned the grdent of sclr feld, t s possble to defne the grdent of vector or tensor feld. If v s vector feld, v s second-order tensor feld. The rte of chnge of v n ny drecton n s gven by v n = v n

Review of linear algebra. Nuno Vasconcelos UCSD

Review of linear algebra. Nuno Vasconcelos UCSD Revew of lner lgebr Nuno Vsconcelos UCSD Vector spces Defnton: vector spce s set H where ddton nd sclr multplcton re defned nd stsf: ) +( + ) (+ )+ 5) λ H 2) + + H 6) 3) H, + 7) λ(λ ) (λλ ) 4) H, - + 8)

More information

PART 1: VECTOR & TENSOR ANALYSIS

PART 1: VECTOR & TENSOR ANALYSIS PART : VECTOR & TENSOR ANALYSIS wth LINEAR ALGEBRA Obectves Introduce the concepts, theores, nd opertonl mplementton of vectors, nd more generlly tensors, n dvnced engneerng nlyss. The emphss s on geometrc

More information

Principle Component Analysis

Principle Component Analysis Prncple Component Anlyss Jng Go SUNY Bufflo Why Dmensonlty Reducton? We hve too mny dmensons o reson bout or obtn nsghts from o vsulze oo much nose n the dt Need to reduce them to smller set of fctors

More information

Rank One Update And the Google Matrix by Al Bernstein Signal Science, LLC

Rank One Update And the Google Matrix by Al Bernstein Signal Science, LLC Introducton Rnk One Updte And the Google Mtrx y Al Bernsten Sgnl Scence, LLC www.sgnlscence.net here re two dfferent wys to perform mtrx multplctons. he frst uses dot product formulton nd the second uses

More information

ESCI 342 Atmospheric Dynamics I Lesson 1 Vectors and Vector Calculus

ESCI 342 Atmospheric Dynamics I Lesson 1 Vectors and Vector Calculus ESI 34 tmospherc Dnmcs I Lesson 1 Vectors nd Vector lculus Reference: Schum s Outlne Seres: Mthemtcl Hndbook of Formuls nd Tbles Suggested Redng: Mrtn Secton 1 OORDINTE SYSTEMS n orthonorml coordnte sstem

More information

INTRODUCTION TO COMPLEX NUMBERS

INTRODUCTION TO COMPLEX NUMBERS INTRODUCTION TO COMPLEX NUMBERS The numers -4, -3, -, -1, 0, 1,, 3, 4 represent the negtve nd postve rel numers termed ntegers. As one frst lerns n mddle school they cn e thought of s unt dstnce spced

More information

UNIVERSITY OF IOANNINA DEPARTMENT OF ECONOMICS. M.Sc. in Economics MICROECONOMIC THEORY I. Problem Set II

UNIVERSITY OF IOANNINA DEPARTMENT OF ECONOMICS. M.Sc. in Economics MICROECONOMIC THEORY I. Problem Set II Mcroeconomc Theory I UNIVERSITY OF IOANNINA DEPARTMENT OF ECONOMICS MSc n Economcs MICROECONOMIC THEORY I Techng: A Lptns (Note: The number of ndctes exercse s dffculty level) ()True or flse? If V( y )

More information

Math 497C Sep 17, Curves and Surfaces Fall 2004, PSU

Math 497C Sep 17, Curves and Surfaces Fall 2004, PSU Mth 497C Sep 17, 004 1 Curves nd Surfces Fll 004, PSU Lecture Notes 3 1.8 The generl defnton of curvture; Fox-Mlnor s Theorem Let α: [, b] R n be curve nd P = {t 0,...,t n } be prtton of [, b], then the

More information

VECTORS AND TENSORS IV.1.1. INTRODUCTION

VECTORS AND TENSORS IV.1.1. INTRODUCTION Chpter IV Vector nd Tensor Anlyss IV. Vectors nd Tensors Septemer 5, 08 05 IV. VECTORS AND TENSORS IV... INTRODUCTION In mthemtcs nd mechncs, we he to operte wth qunttes whch requre dfferent mthemtcl ojects

More information

FUNDAMENTALS ON ALGEBRA MATRICES AND DETERMINANTS

FUNDAMENTALS ON ALGEBRA MATRICES AND DETERMINANTS Dol Bgyoko (0 FUNDAMENTALS ON ALGEBRA MATRICES AND DETERMINANTS Introducton Expressons of the form P(x o + x + x + + n x n re clled polynomls The coeffcents o,, n re ndependent of x nd the exponents 0,,,

More information

4. Eccentric axial loading, cross-section core

4. Eccentric axial loading, cross-section core . Eccentrc xl lodng, cross-secton core Introducton We re strtng to consder more generl cse when the xl force nd bxl bendng ct smultneousl n the cross-secton of the br. B vrtue of Snt-Vennt s prncple we

More information

Engineering Tensors. Friday November 16, h30 -Muddy Charles. A BEH430 review session by Thomas Gervais.

Engineering Tensors. Friday November 16, h30 -Muddy Charles. A BEH430 review session by Thomas Gervais. ngneerng Tensors References: BH4 reew sesson b Thoms Gers tgers@mt.ed Long, RR, Mechncs of Solds nd lds, Prentce-Hll, 96, pp - Deen, WD, nlss of trnsport phenomen, Oford, 998, p. 55-56 Goodbod, M, Crtesn

More information

Lecture 4: Piecewise Cubic Interpolation

Lecture 4: Piecewise Cubic Interpolation Lecture notes on Vrtonl nd Approxmte Methods n Appled Mthemtcs - A Perce UBC Lecture 4: Pecewse Cubc Interpolton Compled 6 August 7 In ths lecture we consder pecewse cubc nterpolton n whch cubc polynoml

More information

VECTORS VECTORS VECTORS VECTORS. 2. Vector Representation. 1. Definition. 3. Types of Vectors. 5. Vector Operations I. 4. Equal and Opposite Vectors

VECTORS VECTORS VECTORS VECTORS. 2. Vector Representation. 1. Definition. 3. Types of Vectors. 5. Vector Operations I. 4. Equal and Opposite Vectors 1. Defnton A vetor s n entt tht m represent phsl quntt tht hs mgntude nd dreton s opposed to slr tht ls dreton.. Vetor Representton A vetor n e represented grphll n rrow. The length of the rrow s the mgntude

More information

GAUSS ELIMINATION. Consider the following system of algebraic linear equations

GAUSS ELIMINATION. Consider the following system of algebraic linear equations Numercl Anlyss for Engneers Germn Jordnn Unversty GAUSS ELIMINATION Consder the followng system of lgebrc lner equtons To solve the bove system usng clsscl methods, equton () s subtrcted from equton ()

More information

Chapter Newton-Raphson Method of Solving a Nonlinear Equation

Chapter Newton-Raphson Method of Solving a Nonlinear Equation Chpter.4 Newton-Rphson Method of Solvng Nonlner Equton After redng ths chpter, you should be ble to:. derve the Newton-Rphson method formul,. develop the lgorthm of the Newton-Rphson method,. use the Newton-Rphson

More information

ψ ij has the eigenvalue

ψ ij has the eigenvalue Moller Plesset Perturbton Theory In Moller-Plesset (MP) perturbton theory one tes the unperturbed Hmltonn for n tom or molecule s the sum of the one prtcle Foc opertors H F() where the egenfunctons of

More information

The Schur-Cohn Algorithm

The Schur-Cohn Algorithm Modelng, Estmton nd Otml Flterng n Sgnl Processng Mohmed Njm Coyrght 8, ISTE Ltd. Aendx F The Schur-Cohn Algorthm In ths endx, our m s to resent the Schur-Cohn lgorthm [] whch s often used s crteron for

More information

COMPLEX NUMBER & QUADRATIC EQUATION

COMPLEX NUMBER & QUADRATIC EQUATION MCQ COMPLEX NUMBER & QUADRATIC EQUATION Syllus : Comple numers s ordered prs of rels, Representton of comple numers n the form + nd ther representton n plne, Argnd dgrm, lger of comple numers, modulus

More information

Quiz: Experimental Physics Lab-I

Quiz: Experimental Physics Lab-I Mxmum Mrks: 18 Totl tme llowed: 35 mn Quz: Expermentl Physcs Lb-I Nme: Roll no: Attempt ll questons. 1. In n experment, bll of mss 100 g s dropped from heght of 65 cm nto the snd contner, the mpct s clled

More information

Applied Statistics Qualifier Examination

Applied Statistics Qualifier Examination Appled Sttstcs Qulfer Exmnton Qul_june_8 Fll 8 Instructons: () The exmnton contns 4 Questons. You re to nswer 3 out of 4 of them. () You my use ny books nd clss notes tht you mght fnd helpful n solvng

More information

Jens Siebel (University of Applied Sciences Kaiserslautern) An Interactive Introduction to Complex Numbers

Jens Siebel (University of Applied Sciences Kaiserslautern) An Interactive Introduction to Complex Numbers Jens Sebel (Unversty of Appled Scences Kserslutern) An Interctve Introducton to Complex Numbers 1. Introducton We know tht some polynoml equtons do not hve ny solutons on R/. Exmple 1.1: Solve x + 1= for

More information

Strong Gravity and the BKL Conjecture

Strong Gravity and the BKL Conjecture Introducton Strong Grvty nd the BKL Conecture Dvd Slon Penn Stte October 16, 2007 Dvd Slon Strong Grvty nd the BKL Conecture Introducton Outlne The BKL Conecture Ashtekr Vrbles Ksner Sngulrty 1 Introducton

More information

Symmetries and Conservation Laws in Classical Mechanics

Symmetries and Conservation Laws in Classical Mechanics Symmetres nd Conservton Lws n Clsscl Mechncs Wllm Andrew Astll September 30, 0 Abstrct Ths pper wll provde detled explorton nd explnton of symmetres n clsscl mechncs nd how these symmetres relte to conservton

More information

( dg. ) 2 dt. + dt. dt j + dh. + dt. r(t) dt. Comparing this equation with the one listed above for the length of see that

( dg. ) 2 dt. + dt. dt j + dh. + dt. r(t) dt. Comparing this equation with the one listed above for the length of see that Arc Length of Curves in Three Dimensionl Spce If the vector function r(t) f(t) i + g(t) j + h(t) k trces out the curve C s t vries, we cn mesure distnces long C using formul nerly identicl to one tht we

More information

From Biot-Savart Law to Divergence of B (1)

From Biot-Savart Law to Divergence of B (1) From Bot-Savart Law to Dvergence of B (1) Let s prove that Bot-Savart gves us B (r ) = 0 for an arbtrary current densty. Frst take the dvergence of both sdes of Bot-Savart. The dervatve s wth respect to

More information

Chapter Newton-Raphson Method of Solving a Nonlinear Equation

Chapter Newton-Raphson Method of Solving a Nonlinear Equation Chpter 0.04 Newton-Rphson Method o Solvng Nonlner Equton Ater redng ths chpter, you should be ble to:. derve the Newton-Rphson method ormul,. develop the lgorthm o the Newton-Rphson method,. use the Newton-Rphson

More information

Physics 121 Sample Common Exam 2 Rev2 NOTE: ANSWERS ARE ON PAGE 7. Instructions:

Physics 121 Sample Common Exam 2 Rev2 NOTE: ANSWERS ARE ON PAGE 7. Instructions: Physcs 121 Smple Common Exm 2 Rev2 NOTE: ANSWERS ARE ON PAGE 7 Nme (Prnt): 4 Dgt ID: Secton: Instructons: Answer ll 27 multple choce questons. You my need to do some clculton. Answer ech queston on the

More information

Chapter 4 Contravariance, Covariance, and Spacetime Diagrams

Chapter 4 Contravariance, Covariance, and Spacetime Diagrams Chpter 4 Contrvrince, Covrince, nd Spcetime Digrms 4. The Components of Vector in Skewed Coordintes We hve seen in Chpter 3; figure 3.9, tht in order to show inertil motion tht is consistent with the Lorentz

More information

SUMMER KNOWHOW STUDY AND LEARNING CENTRE

SUMMER KNOWHOW STUDY AND LEARNING CENTRE SUMMER KNOWHOW STUDY AND LEARNING CENTRE Indices & Logrithms 2 Contents Indices.2 Frctionl Indices.4 Logrithms 6 Exponentil equtions. Simplifying Surds 13 Opertions on Surds..16 Scientific Nottion..18

More information

We partition C into n small arcs by forming a partition of [a, b] by picking s i as follows: a = s 0 < s 1 < < s n = b.

We partition C into n small arcs by forming a partition of [a, b] by picking s i as follows: a = s 0 < s 1 < < s n = b. Mth 255 - Vector lculus II Notes 4.2 Pth nd Line Integrls We begin with discussion of pth integrls (the book clls them sclr line integrls). We will do this for function of two vribles, but these ides cn

More information

DCDM BUSINESS SCHOOL NUMERICAL METHODS (COS 233-8) Solutions to Assignment 3. x f(x)

DCDM BUSINESS SCHOOL NUMERICAL METHODS (COS 233-8) Solutions to Assignment 3. x f(x) DCDM BUSINESS SCHOOL NUMEICAL METHODS (COS -8) Solutons to Assgnment Queston Consder the followng dt: 5 f() 8 7 5 () Set up dfference tble through fourth dfferences. (b) Wht s the mnmum degree tht n nterpoltng

More information

Line and Surface Integrals: An Intuitive Understanding

Line and Surface Integrals: An Intuitive Understanding Line nd Surfce Integrls: An Intuitive Understnding Joseph Breen Introduction Multivrible clculus is ll bout bstrcting the ides of differentition nd integrtion from the fmilir single vrible cse to tht of

More information

a < a+ x < a+2 x < < a+n x = b, n A i n f(x i ) x. i=1 i=1

a < a+ x < a+2 x < < a+n x = b, n A i n f(x i ) x. i=1 i=1 Mth 33 Volume Stewrt 5.2 Geometry of integrls. In this section, we will lern how to compute volumes using integrls defined by slice nlysis. First, we recll from Clculus I how to compute res. Given the

More information

COMPLEX NUMBERS INDEX

COMPLEX NUMBERS INDEX COMPLEX NUMBERS INDEX. The hstory of the complex numers;. The mgnry unt I ;. The Algerc form;. The Guss plne; 5. The trgonometrc form;. The exponentl form; 7. The pplctons of the complex numers. School

More information

Things to Memorize: A Partial List. January 27, 2017

Things to Memorize: A Partial List. January 27, 2017 Things to Memorize: A Prtil List Jnury 27, 2017 Chpter 2 Vectors - Bsic Fcts A vector hs mgnitude (lso clled size/length/norm) nd direction. It does not hve fixed position, so the sme vector cn e moved

More information

Energy Bands Energy Bands and Band Gap. Phys463.nb Phenomenon

Energy Bands Energy Bands and Band Gap. Phys463.nb Phenomenon Phys463.nb 49 7 Energy Bnds Ref: textbook, Chpter 7 Q: Why re there insultors nd conductors? Q: Wht will hppen when n electron moves in crystl? In the previous chpter, we discussed free electron gses,

More information

Proof that if Voting is Perfect in One Dimension, then the First. Eigenvector Extracted from the Double-Centered Transformed

Proof that if Voting is Perfect in One Dimension, then the First. Eigenvector Extracted from the Double-Centered Transformed Proof tht f Votng s Perfect n One Dmenson, then the Frst Egenvector Extrcted from the Doule-Centered Trnsformed Agreement Score Mtrx hs the Sme Rn Orderng s the True Dt Keth T Poole Unversty of Houston

More information

FINITE NEUTROSOPHIC COMPLEX NUMBERS. W. B. Vasantha Kandasamy Florentin Smarandache

FINITE NEUTROSOPHIC COMPLEX NUMBERS. W. B. Vasantha Kandasamy Florentin Smarandache INITE NEUTROSOPHIC COMPLEX NUMBERS W. B. Vsnth Kndsmy lorentn Smrndche ZIP PUBLISHING Oho 11 Ths book cn be ordered from: Zp Publshng 1313 Chespeke Ave. Columbus, Oho 31, USA Toll ree: (61) 85-71 E-ml:

More information

Announcements. Image Formation: Outline. The course. Image Formation and Cameras (cont.)

Announcements. Image Formation: Outline. The course. Image Formation and Cameras (cont.) nnouncements Imge Formton nd Cmers (cont.) ssgnment : Cmer & Lenses, gd Trnsformtons, nd Homogrph wll be posted lter tod. CSE 5 Lecture 5 CS5, Fll CS5, Fll CS5, Fll The course rt : The phscs of mgng rt

More information

Remember: Project Proposals are due April 11.

Remember: Project Proposals are due April 11. Bonformtcs ecture Notes Announcements Remember: Project Proposls re due Aprl. Clss 22 Aprl 4, 2002 A. Hdden Mrov Models. Defntons Emple - Consder the emple we tled bout n clss lst tme wth the cons. However,

More information

2.12 Pull Back, Push Forward and Lie Time Derivatives

2.12 Pull Back, Push Forward and Lie Time Derivatives Secton 2.2 2.2 Pull Bck Push Forwrd nd e me Dertes hs secton s n the mn concerned wth the follown ssue: n oserer ttched to fxed sy Crtesn coordnte system wll see mterl moe nd deform oer tme nd wll osere

More information

7.2 The Definite Integral

7.2 The Definite Integral 7.2 The Definite Integrl the definite integrl In the previous section, it ws found tht if function f is continuous nd nonnegtive, then the re under the grph of f on [, b] is given by F (b) F (), where

More information

p (i.e., the set of all nonnegative real numbers). Similarly, Z will denote the set of all

p (i.e., the set of all nonnegative real numbers). Similarly, Z will denote the set of all th Prelmnry E 689 Lecture Notes by B. Yo 0. Prelmnry Notton themtcl Prelmnres It s ssumed tht the reder s fmlr wth the noton of set nd ts elementry oertons, nd wth some bsc logc oertors, e.g. x A : x s

More information

Chapter 2. Vectors. 2.1 Vectors Scalars and Vectors

Chapter 2. Vectors. 2.1 Vectors Scalars and Vectors Chpter 2 Vectors 2.1 Vectors 2.1.1 Sclrs nd Vectors A vector is quntity hving both mgnitude nd direction. Emples of vector quntities re velocity, force nd position. One cn represent vector in n-dimensionl

More information

THREE-DIMENSIONAL KINEMATICS OF RIGID BODIES

THREE-DIMENSIONAL KINEMATICS OF RIGID BODIES THREE-DIMENSIONAL KINEMATICS OF RIGID BODIES 1. TRANSLATION Figure shows rigid body trnslting in three-dimensionl spce. Any two points in the body, such s A nd B, will move long prllel stright lines if

More information

MATH34032: Green s Functions, Integral Equations and the Calculus of Variations 1

MATH34032: Green s Functions, Integral Equations and the Calculus of Variations 1 MATH34032: Green s Functions, Integrl Equtions nd the Clculus of Vritions 1 Section 1 Function spces nd opertors Here we gives some brief detils nd definitions, prticulrly relting to opertors. For further

More information

7.2 Volume. A cross section is the shape we get when cutting straight through an object.

7.2 Volume. A cross section is the shape we get when cutting straight through an object. 7. Volume Let s revew the volume of smple sold, cylnder frst. Cylnder s volume=se re heght. As llustrted n Fgure (). Fgure ( nd (c) re specl cylnders. Fgure () s rght crculr cylnder. Fgure (c) s ox. A

More information

The Number of Rows which Equal Certain Row

The Number of Rows which Equal Certain Row Interntonl Journl of Algebr, Vol 5, 011, no 30, 1481-1488 he Number of Rows whch Equl Certn Row Ahmd Hbl Deprtment of mthemtcs Fcult of Scences Dmscus unverst Dmscus, Sr hblhmd1@gmlcom Abstrct Let be X

More information

Torsion, Thermal Effects and Indeterminacy

Torsion, Thermal Effects and Indeterminacy ENDS Note Set 7 F007bn orson, herml Effects nd Indetermncy Deformton n orsonlly Loded Members Ax-symmetrc cross sectons subjected to xl moment or torque wll remn plne nd undstorted. At secton, nternl torque

More information

How do we solve these things, especially when they get complicated? How do we know when a system has a solution, and when is it unique?

How do we solve these things, especially when they get complicated? How do we know when a system has a solution, and when is it unique? XII. LINEAR ALGEBRA: SOLVING SYSTEMS OF EQUATIONS Tody we re going to tlk bout solving systems of liner equtions. These re problems tht give couple of equtions with couple of unknowns, like: 6 2 3 7 4

More information

NUMERICAL MODELLING OF A CILIUM USING AN INTEGRAL EQUATION

NUMERICAL MODELLING OF A CILIUM USING AN INTEGRAL EQUATION NUEICAL ODELLING OF A CILIU USING AN INTEGAL EQUATION IHAI EBICAN, DANIEL IOAN Key words: Cl, Numercl nlyss, Electromgnetc feld, gnetton. The pper presents fst nd ccurte method to model the mgnetc behvour

More information

Online Appendix to. Mandating Behavioral Conformity in Social Groups with Conformist Members

Online Appendix to. Mandating Behavioral Conformity in Social Groups with Conformist Members Onlne Appendx to Mndtng Behvorl Conformty n Socl Groups wth Conformst Members Peter Grzl Andrze Bnk (Correspondng uthor) Deprtment of Economcs, The Wllms School, Wshngton nd Lee Unversty, Lexngton, 4450

More information

Demand. Demand and Comparative Statics. Graphically. Marshallian Demand. ECON 370: Microeconomic Theory Summer 2004 Rice University Stanley Gilbert

Demand. Demand and Comparative Statics. Graphically. Marshallian Demand. ECON 370: Microeconomic Theory Summer 2004 Rice University Stanley Gilbert Demnd Demnd nd Comrtve Sttcs ECON 370: Mcroeconomc Theory Summer 004 Rce Unversty Stnley Glbert Usng the tools we hve develoed u to ths ont, we cn now determne demnd for n ndvdul consumer We seek demnd

More information

International Journal of Pure and Applied Sciences and Technology

International Journal of Pure and Applied Sciences and Technology Int. J. Pure Appl. Sc. Technol., () (), pp. 44-49 Interntonl Journl of Pure nd Appled Scences nd Technolog ISSN 9-67 Avlle onlne t www.jopst.n Reserch Pper Numercl Soluton for Non-Lner Fredholm Integrl

More information

6 Roots of Equations: Open Methods

6 Roots of Equations: Open Methods HK Km Slghtly modfed 3//9, /8/6 Frstly wrtten t Mrch 5 6 Roots of Equtons: Open Methods Smple Fed-Pont Iterton Newton-Rphson Secnt Methods MATLAB Functon: fzero Polynomls Cse Study: Ppe Frcton Brcketng

More information

Definition of Tracking

Definition of Tracking Trckng Defnton of Trckng Trckng: Generte some conclusons bout the moton of the scene, objects, or the cmer, gven sequence of mges. Knowng ths moton, predct where thngs re gong to project n the net mge,

More information

Two Coefficients of the Dyson Product

Two Coefficients of the Dyson Product Two Coeffcents of the Dyson Product rxv:07.460v mth.co 7 Nov 007 Lun Lv, Guoce Xn, nd Yue Zhou 3,,3 Center for Combntorcs, LPMC TJKLC Nnk Unversty, Tnjn 30007, P.R. Chn lvlun@cfc.nnk.edu.cn gn@nnk.edu.cn

More information

Dennis Bricker, 2001 Dept of Industrial Engineering The University of Iowa. MDP: Taxi page 1

Dennis Bricker, 2001 Dept of Industrial Engineering The University of Iowa. MDP: Taxi page 1 Denns Brcker, 2001 Dept of Industrl Engneerng The Unversty of Iow MDP: Tx pge 1 A tx serves three djcent towns: A, B, nd C. Ech tme the tx dschrges pssenger, the drver must choose from three possble ctons:

More information

Theoretical foundations of Gaussian quadrature

Theoretical foundations of Gaussian quadrature Theoreticl foundtions of Gussin qudrture 1 Inner product vector spce Definition 1. A vector spce (or liner spce) is set V = {u, v, w,...} in which the following two opertions re defined: (A) Addition of

More information

Week 10: Line Integrals

Week 10: Line Integrals Week 10: Line Integrls Introduction In this finl week we return to prmetrised curves nd consider integrtion long such curves. We lredy sw this in Week 2 when we integrted long curve to find its length.

More information

Math 32B Discussion Session Session 7 Notes August 28, 2018

Math 32B Discussion Session Session 7 Notes August 28, 2018 Mth 32B iscussion ession ession 7 Notes August 28, 28 In tody s discussion we ll tlk bout surfce integrls both of sclr functions nd of vector fields nd we ll try to relte these to the mny other integrls

More information

Bases for Vector Spaces

Bases for Vector Spaces Bses for Vector Spces 2-26-25 A set is independent if, roughly speking, there is no redundncy in the set: You cn t uild ny vector in the set s liner comintion of the others A set spns if you cn uild everything

More information

Section 14.3 Arc Length and Curvature

Section 14.3 Arc Length and Curvature Section 4.3 Arc Length nd Curvture Clculus on Curves in Spce In this section, we ly the foundtions for describing the movement of n object in spce.. Vector Function Bsics In Clc, formul for rc length in

More information

Physics for Scientists and Engineers I

Physics for Scientists and Engineers I Phscs for Scentsts nd Engneers I PHY 48, Secton 4 Dr. Betr Roldán Cuen Unverst of Centrl Flord, Phscs Deprtment, Orlndo, FL Chpter - Introducton I. Generl II. Interntonl Sstem of Unts III. Converson of

More information

Bernoulli Numbers Jeff Morton

Bernoulli Numbers Jeff Morton Bernoulli Numbers Jeff Morton. We re interested in the opertor e t k d k t k, which is to sy k tk. Applying this to some function f E to get e t f d k k tk d k f f + d k k tk dk f, we note tht since f

More information

C/CS/Phy191 Problem Set 3 Solutions Out: Oct 1, 2008., where ( 00. ), so the overall state of the system is ) ( ( ( ( 00 ± 11 ), Φ ± = 1

C/CS/Phy191 Problem Set 3 Solutions Out: Oct 1, 2008., where ( 00. ), so the overall state of the system is ) ( ( ( ( 00 ± 11 ), Φ ± = 1 C/CS/Phy9 Problem Set 3 Solutons Out: Oct, 8 Suppose you have two qubts n some arbtrary entangled state ψ You apply the teleportaton protocol to each of the qubts separately What s the resultng state obtaned

More information

Lecture 36. Finite Element Methods

Lecture 36. Finite Element Methods CE 60: Numercl Methods Lecture 36 Fnte Element Methods Course Coordntor: Dr. Suresh A. Krth, Assocte Professor, Deprtment of Cvl Engneerng, IIT Guwht. In the lst clss, we dscussed on the ppromte methods

More information

ARITHMETIC OPERATIONS. The real numbers have the following properties: a b c ab ac

ARITHMETIC OPERATIONS. The real numbers have the following properties: a b c ab ac REVIEW OF ALGEBRA Here we review the bsic rules nd procedures of lgebr tht you need to know in order to be successful in clculus. ARITHMETIC OPERATIONS The rel numbers hve the following properties: b b

More information

LAPLACE TRANSFORM SOLUTION OF THE PROBLEM OF TIME-FRACTIONAL HEAT CONDUCTION IN A TWO-LAYERED SLAB

LAPLACE TRANSFORM SOLUTION OF THE PROBLEM OF TIME-FRACTIONAL HEAT CONDUCTION IN A TWO-LAYERED SLAB Journl of Appled Mthemtcs nd Computtonl Mechncs 5, 4(4), 5-3 www.mcm.pcz.pl p-issn 99-9965 DOI:.75/jmcm.5.4. e-issn 353-588 LAPLACE TRANSFORM SOLUTION OF THE PROBLEM OF TIME-FRACTIONAL HEAT CONDUCTION

More information

Math Lecture 23

Math Lecture 23 Mth 8 - Lecture 3 Dyln Zwick Fll 3 In our lst lecture we delt with solutions to the system: x = Ax where A is n n n mtrix with n distinct eigenvlues. As promised, tody we will del with the question of

More information

Chapter 2 Introduction to Algebra. Dr. Chih-Peng Li ( 李 )

Chapter 2 Introduction to Algebra. Dr. Chih-Peng Li ( 李 ) Chpter Introducton to Algebr Dr. Chh-Peng L 李 Outlne Groups Felds Bnry Feld Arthetc Constructon of Glos Feld Bsc Propertes of Glos Feld Coputtons Usng Glos Feld Arthetc Vector Spces Groups 3 Let G be set

More information

Katholieke Universiteit Leuven Department of Computer Science

Katholieke Universiteit Leuven Department of Computer Science Updte Rules for Weghted Non-negtve FH*G Fctorzton Peter Peers Phlp Dutré Report CW 440, Aprl 006 Ktholeke Unverstet Leuven Deprtment of Computer Scence Celestjnenln 00A B-3001 Heverlee (Belgum) Updte Rules

More information

Lectures - Week 4 Matrix norms, Conditioning, Vector Spaces, Linear Independence, Spanning sets and Basis, Null space and Range of a Matrix

Lectures - Week 4 Matrix norms, Conditioning, Vector Spaces, Linear Independence, Spanning sets and Basis, Null space and Range of a Matrix Lectures - Week 4 Matrx norms, Condtonng, Vector Spaces, Lnear Independence, Spannng sets and Bass, Null space and Range of a Matrx Matrx Norms Now we turn to assocatng a number to each matrx. We could

More information

Before we can begin Ch. 3 on Radicals, we need to be familiar with perfect squares, cubes, etc. Try and do as many as you can without a calculator!!!

Before we can begin Ch. 3 on Radicals, we need to be familiar with perfect squares, cubes, etc. Try and do as many as you can without a calculator!!! Nme: Algebr II Honors Pre-Chpter Homework Before we cn begin Ch on Rdicls, we need to be fmilir with perfect squres, cubes, etc Try nd do s mny s you cn without clcultor!!! n The nth root of n n Be ble

More information

ACCESS TO SCIENCE, ENGINEERING AND AGRICULTURE: MATHEMATICS 1 MATH00030 SEMESTER /2019

ACCESS TO SCIENCE, ENGINEERING AND AGRICULTURE: MATHEMATICS 1 MATH00030 SEMESTER /2019 ACCESS TO SCIENCE, ENGINEERING AND AGRICULTURE: MATHEMATICS MATH00030 SEMESTER 208/209 DR. ANTHONY BROWN 7.. Introduction to Integrtion. 7. Integrl Clculus As ws the cse with the chpter on differentil

More information

Surface Integrals of Vector Fields

Surface Integrals of Vector Fields Mth 32B iscussion ession Week 7 Notes Februry 21 nd 23, 2017 In lst week s notes we introduced surfce integrls, integrting sclr-vlued functions over prmetrized surfces. As with our previous integrls, we

More information

The Regulated and Riemann Integrals

The Regulated and Riemann Integrals Chpter 1 The Regulted nd Riemnn Integrls 1.1 Introduction We will consider severl different pproches to defining the definite integrl f(x) dx of function f(x). These definitions will ll ssign the sme vlue

More information

UNIFORM CONVERGENCE. Contents 1. Uniform Convergence 1 2. Properties of uniform convergence 3

UNIFORM CONVERGENCE. Contents 1. Uniform Convergence 1 2. Properties of uniform convergence 3 UNIFORM CONVERGENCE Contents 1. Uniform Convergence 1 2. Properties of uniform convergence 3 Suppose f n : Ω R or f n : Ω C is sequence of rel or complex functions, nd f n f s n in some sense. Furthermore,

More information

ELASTIC WAVE PROPAGATION IN A CONTINUOUS MEDIUM

ELASTIC WAVE PROPAGATION IN A CONTINUOUS MEDIUM ELASTIC WAVE PROPAGATION IN A CONTINUOUS MEDIUM An elastc wave s a deformaton of the body that travels throughout the body n all drectons. We can examne the deformaton over a perod of tme by fxng our look

More information

Partially Observable Systems. 1 Partially Observable Markov Decision Process (POMDP) Formalism

Partially Observable Systems. 1 Partially Observable Markov Decision Process (POMDP) Formalism CS294-40 Lernng for Rootcs nd Control Lecture 10-9/30/2008 Lecturer: Peter Aeel Prtlly Oservle Systems Scre: Dvd Nchum Lecture outlne POMDP formlsm Pont-sed vlue terton Glol methods: polytree, enumerton,

More information

Partial Derivatives. Limits. For a single variable function f (x), the limit lim

Partial Derivatives. Limits. For a single variable function f (x), the limit lim Limits Prtil Derivtives For single vrible function f (x), the limit lim x f (x) exists only if the right-hnd side limit equls to the left-hnd side limit, i.e., lim f (x) = lim f (x). x x + For two vribles

More information

Variable time amplitude amplification and quantum algorithms for linear algebra. Andris Ambainis University of Latvia

Variable time amplitude amplification and quantum algorithms for linear algebra. Andris Ambainis University of Latvia Vrble tme mpltude mplfcton nd quntum lgorthms for lner lgebr Andrs Ambns Unversty of Ltv Tlk outlne. ew verson of mpltude mplfcton;. Quntum lgorthm for testng f A s sngulr; 3. Quntum lgorthm for solvng

More information

A Family of Multivariate Abel Series Distributions. of Order k

A Family of Multivariate Abel Series Distributions. of Order k Appled Mthemtcl Scences, Vol. 2, 2008, no. 45, 2239-2246 A Fmly of Multvrte Abel Seres Dstrbutons of Order k Rupk Gupt & Kshore K. Ds 2 Fculty of Scence & Technology, The Icf Unversty, Agrtl, Trpur, Ind

More information

Stuff You Need to Know From Calculus

Stuff You Need to Know From Calculus Stuff You Need to Know From Clculus For the first time in the semester, the stuff we re doing is finlly going to look like clculus (with vector slnt, of course). This mens tht in order to succeed, you

More information

Reactor Control Division BARC Mumbai India

Reactor Control Division BARC Mumbai India A Study of Frctonl Schrödnger Equton-composed v Jumre frctonl dervtve Joydp Bnerjee 1, Uttm Ghosh, Susmt Srkr b nd Shntnu Ds 3 Uttr Bunch Kjl Hr Prmry school, Ful, Nd, West Bengl, Ind eml- joydp1955bnerjee@gml.com

More information

and that at t = 0 the object is at position 5. Find the position of the object at t = 2.

and that at t = 0 the object is at position 5. Find the position of the object at t = 2. 7.2 The Fundmentl Theorem of Clculus 49 re mny, mny problems tht pper much different on the surfce but tht turn out to be the sme s these problems, in the sense tht when we try to pproimte solutions we

More information

SYDE 112, LECTURES 3 & 4: The Fundamental Theorem of Calculus

SYDE 112, LECTURES 3 & 4: The Fundamental Theorem of Calculus SYDE 112, LECTURES & 4: The Fundmentl Theorem of Clculus So fr we hve introduced two new concepts in this course: ntidifferentition nd Riemnn sums. It turns out tht these quntities re relted, but it is

More information

Math 8 Winter 2015 Applications of Integration

Math 8 Winter 2015 Applications of Integration Mth 8 Winter 205 Applictions of Integrtion Here re few importnt pplictions of integrtion. The pplictions you my see on n exm in this course include only the Net Chnge Theorem (which is relly just the Fundmentl

More information

HW3, Math 307. CSUF. Spring 2007.

HW3, Math 307. CSUF. Spring 2007. HW, Mth 7. CSUF. Spring 7. Nsser M. Abbsi Spring 7 Compiled on November 5, 8 t 8:8m public Contents Section.6, problem Section.6, problem Section.6, problem 5 Section.6, problem 7 6 5 Section.6, problem

More information

STEP FUNCTIONS, DELTA FUNCTIONS, AND THE VARIATION OF PARAMETERS FORMULA. 0 if t < 0, 1 if t > 0.

STEP FUNCTIONS, DELTA FUNCTIONS, AND THE VARIATION OF PARAMETERS FORMULA. 0 if t < 0, 1 if t > 0. STEP FUNCTIONS, DELTA FUNCTIONS, AND THE VARIATION OF PARAMETERS FORMULA STEPHEN SCHECTER. The unit step function nd piecewise continuous functions The Heviside unit step function u(t) is given by if t

More information

ragsdale (zdr82) HW6 ditmire (58335) 1 the direction of the current in the figure. Using the lower circuit in the figure, we get

ragsdale (zdr82) HW6 ditmire (58335) 1 the direction of the current in the figure. Using the lower circuit in the figure, we get rgsdle (zdr8) HW6 dtmre (58335) Ths prnt-out should hve 5 questons Multple-choce questons my contnue on the next column or pge fnd ll choces efore nswerng 00 (prt of ) 00 ponts The currents re flowng n

More information

State space systems analysis (continued) Stability. A. Definitions A system is said to be Asymptotically Stable (AS) when it satisfies

State space systems analysis (continued) Stability. A. Definitions A system is said to be Asymptotically Stable (AS) when it satisfies Stte spce systems nlysis (continued) Stbility A. Definitions A system is sid to be Asymptoticlly Stble (AS) when it stisfies ut () = 0, t > 0 lim xt () 0. t A system is AS if nd only if the impulse response

More information

2.4 Linear Inequalities and Interval Notation

2.4 Linear Inequalities and Interval Notation .4 Liner Inequlities nd Intervl Nottion We wnt to solve equtions tht hve n inequlity symol insted of n equl sign. There re four inequlity symols tht we will look t: Less thn , Less thn or

More information

CENTROID (AĞIRLIK MERKEZİ )

CENTROID (AĞIRLIK MERKEZİ ) CENTOD (ĞLK MEKEZİ ) centrod s geometrcl concept rsng from prllel forces. Tus, onl prllel forces possess centrod. Centrod s tougt of s te pont were te wole wegt of pscl od or sstem of prtcles s lumped.

More information

Geometric Sequences. Geometric Sequence a sequence whose consecutive terms have a common ratio.

Geometric Sequences. Geometric Sequence a sequence whose consecutive terms have a common ratio. Geometric Sequences Geometric Sequence sequence whose consecutive terms hve common rtio. Geometric Sequence A sequence is geometric if the rtios of consecutive terms re the sme. 2 3 4... 2 3 The number

More information

Many-Body Calculations of the Isotope Shift

Many-Body Calculations of the Isotope Shift Mny-Body Clcultons of the Isotope Shft W. R. Johnson Mrch 11, 1 1 Introducton Atomc energy levels re commonly evluted ssumng tht the nucler mss s nfnte. In ths report, we consder correctons to tomc levels

More information

Difference Equations

Difference Equations Dfference Equatons c Jan Vrbk 1 Bascs Suppose a sequence of numbers, say a 0,a 1,a,a 3,... s defned by a certan general relatonshp between, say, three consecutve values of the sequence, e.g. a + +3a +1

More information

THE COMBINED SHEPARD ABEL GONCHAROV UNIVARIATE OPERATOR

THE COMBINED SHEPARD ABEL GONCHAROV UNIVARIATE OPERATOR REVUE D ANALYSE NUMÉRIQUE ET DE THÉORIE DE L APPROXIMATION Tome 32, N o 1, 2003, pp 11 20 THE COMBINED SHEPARD ABEL GONCHAROV UNIVARIATE OPERATOR TEODORA CĂTINAŞ Abstrct We extend the Sheprd opertor by

More information

CS434a/541a: Pattern Recognition Prof. Olga Veksler. Lecture 9

CS434a/541a: Pattern Recognition Prof. Olga Veksler. Lecture 9 CS434/541: Pttern Recognton Prof. Olg Veksler Lecture 9 Announcements Fnl project proposl due Nov. 1 1-2 prgrph descrpton Lte Penlt: s 1 pont off for ech d lte Assgnment 3 due November 10 Dt for fnl project

More information