1 Solutions in cylindrical coordinates: Bessel functions

Size: px
Start display at page:

Download "1 Solutions in cylindrical coordinates: Bessel functions"

Transcription

1 Bessels 19 1 Solutions in cylinricl coorintes: Bessel functions 1.1 Bessel functions Lplce s eqution in cylinricl coorintes is: 1 Φ Φ + Φ φ φ z Seprte vribles: Let Φ R () W (φ) Z (z). Ten we fin: 1 R + 1 W R W φ + 1 Z Z z Te lst term is function of z only, wile te sum of te first two terms is function of n φ only. Tus we tke ec prt to be constnt clle k. Ten Z z k Z n te solutions re Z e ±kz Tis is te pproprite solution outsie of crge istribution, sy bove plne, (Φ s z ± ), or insie cyliner wit groune wlls n non-zero potentil on one en. Te remining eqution is: 1 R Now multiply troug by : R R R + 1 W W φ + k + k + 1 W W φ Here te lst term is function of φ only n te first two terms re functions of only. Agin we often wnt solution tt is perioic wit perio π, so we coose negtive seprtion constnt: W φ m W W e ±imφ Finlly we ve te eqution for te function of : R + k R m R 1

2 To see tt tis eqution is of Sturm-Liouville form, ivie troug by : R + k R m R (1) Now we ve Sturm-Liouville eqution wit f (), g() m /, eigenvlue λ k n weigting function w (). Eqution (1) is Bessel s eqution. Te solutions re ortogonl functions. Since f (), we o not nee to specify ny bounry conition t if our rnge is, s is frequently te cse. (We o specify tt R remin finite.) We o nee bounry conition t. It is simpler n more elegnt to solve Bessel s eqution if we cnge to te imensionless vrible x k. Ten: k k k R k x + k R k m k R x R + xr m x x R Te eqution s singulr point t x. So we look for series solution of te Frobenius type (cf Le Cpter ): R x p n x n x R x x R n (n + p) n x n+p 1 n (n + p) n x n+p 1 n Ten te eqution becomes: (n + p) n x n+p 1 + n x n+p+1 m n n n Te inicil eqution is given by te coefficient of x p 1 : p m p ±m n x n+p 1 Tus one of te solutions (wit p m) is nlytic t x, n one (wit p m) isnot. Tofin te recursion reltion, look t te k + p 1 power of x: (k + p) k + k m k

3 n so k k (k + p) m k k +kp + p m k k k +kp k (k ± m) Let s look first t te solution wit p +m. Wecnstepowntofin ec k. If we strt te series wit, ten k will lwys be even, k n, n n 1 1 n (n +m) (n ) (n +m) n 4 ( 1) 3 3 n (n 1) (n ) 3 (n + m)(n + m 1) (n + m ) n 6 ( 1) n n n! Te usul convention is to tke Ten 1 n (n + m)(n + m 1) (m +1) 1 m Γ (m +1) 1 ( 1) n 1 n m Γ (m +1) n n! n (n + m)(n + m 1) (m +1) ( 1) n n!γ (n + m +1) n+m (3) n te solution is te Bessel function: J m (x) n () ( 1) n x m+n (4) n!γ (n + m +1) Te function J m (x) s only even powers if m is n even integer n only o powers if m is n o integer. Te series converges for ll vlues of x. Let s see wt te secon solution looks like. Wit p m te recursion reltion is: k k (5) k (k m) were gin k n. Now if m is n integer we will not be ble to etermine m becuse te recursion reltion blows up. One solution to tis ilemm is to strt te series wit m. Ten we cn fin te succeeing n : (n+m) (n 1)+m (n + m) n (n )+m 4 (n + m)(n + m 1) n (n 1) ( 1)n Γ (m +1) n!γ (n + m +1) n m wic is te sme recursion reltion we before. (Compre te eqution bove wit eqution (3). Tus we o not get linerly inepenent solution 3

4 tis wy 1. (Tis ilemm oes not rise if te seprtion constnt is tken to be ν wit ν non-integer. In tt cse te secon recursion reltion provies seriesj ν (x) tt is linerly inepenent of te first.) Inee we fin: nifwecoose J m (x) n n ( 1) n Γ (m +1) n!γ (n + m +1) n mx (n+m) m ( 1) n Γ (m +1) m x m+n m n!γ (n + m +1) ( 1) m m Γ (m +1) m ten J m (x) ( 1) m J m (x) (6) Wit tis coice J ν (x) is continuous function of ν. (Noticettwecnlso express te series using eqution (3) for te coefficients, wit m mn n k + m,n were n for n<m.) We still ve to etermine te secon, linerly inepenent solution of te Bessel eqution. We cn fin it by tking te limit s ν m of liner combintion of J ν n J ν known s te Neumnn function N ν (x) : N m (x) lim J ν (x)cosνπ J ν (x) ν (x) lim ν m ν m sin νπ J m+ε (x)cos(m + ε) π J (m+ε) (x) lim ε sin (m + ε) π J m+ε (x)(cosmπ cos επ sin mπ sin επ) J (m+ε) (x) lim ε sin mπ cos επ +cosmπsin επ J m+ε (x)( 1) m cos επ J (m+ε) (x) lim ε ( 1) m sin επ Now we expn te functions to first orer in ε. We use Tylor series for te Bessel functions. Note tt ε ppers in te inex, not te rgument, so we ve to ifferentite wit respect to ν.. J m+ε (x)( 1) m J (m+ε) (x) N m (x) lim ε ( 1) m επ ( 1) m lim ( 1) m J m + ε J ν ε επ ν J m + ε J ν νm ν νm Using reltion (6), we ve: N m (x) 1 π Jν ν ( 1) m J ν νm ν νm 1 Tis ppens becuse te two roots of te inicil eqution iffer by n integer: m. 4

5 Te erivtive s logritmic term: J ν x ν ( 1) n x n ν ν n!γ (n + ν +1) xν ν n n ( 1) n x n + x ν n!γ (n + ν +1) ν n ( 1) n x n n!γ (n + ν +1) n x ν ν ν eν ln x lnxe ν ln x x ν ln x n so J ν /x s term contining J ν ln x. Tis term iverges s x provie tt J v () is not zero, i.e. for ν. Te function N v (x) lso iverges s x for ν, becuse it contins negtive powers of x. (Te series for J ν strts wit term x ν.) N ν is finite s x becuse J ν goes to zero sufficiently fst. Two itionl functions clle Hnkel functions re efine s liner combintions of J n N : H (1) m (x) J m (x)+in n (x) (7) n H m () (x) J m (x) in n (x) (8) Compre te reltion between sine, cosine, n exponentil: e ±ix cosx ± i sin x 1. Properties of te functions Te Bessel functions (Js) re well beve bot t te origin n s x. Tey ve infinitely mny zeroes. All of tem, except for J, re zero t x. Te first few functions re sown in te figure. J Te first tree Bessel functions. J,J 1 (re) n J x 5

6 For smll vlues of te rgument, we my pproximte te function wit te first term in te series: 1 x m J m (x) for x 1 (9) Γ (m +1) Te Neumnn functions re not well beve t x.n s logritmic singulrity, n for m>, N m iverges s n inverse power of x : N (x) ln x for x 1 π m (m 1)! N m (x) for x 1, m > (1) π x For lrge vlues of te rgument, bot J n N oscillte: tey re like mpe cosine or sine functions: J m (x) πx cos x mπ π for x 1,m (11) 4 N m (x) πx sin x mπ π for x 1,m (1) 4 n tus te Hnkel functions re like complex exponentils: H m (1,) πx exp ±i x mπ π for x 1,m (13) 4 Notice tt if m>1, te lrge rgument expnsions pply for x m rter tn te usul x Reltions between te functions As we foun wit te Legenre functions, we cn etermine set of recursion reltions tt relte successive J m (x). For exmple (Le 8.4.3) Jm (x) x x m J m+1 (x) x m (14) wic is vli for m. In prticulr, wit m we obtin: J 1 (x) J (x) (15) x (xm J m (x)) x m J m 1 (x) (16) From (14) n (16) we my obtin J m+1 + J m 1 m x J m (17) n similrly J m+1 J m 1 J m x Te sme reltions ol for te Ns ntehs. (18) 6

7 1.4 Ortogonlity of te J m Since te Bessel eqution is of Sturm-Liouville form, te Bessel functions re ortogonl if we emn tt tey stisfy bounry conitions of te form (SL review notes eqn ). In prticulr, suppose te region of interest is to, n te bounry conitions re J m (k). We o not nee bounry conition t becuse te function f () is zero tere. Ten te eigenvlues re k mn α mn were α mn is te nt zero of J m. (Te zeros re tbulte in stnr references suc s Abrmowitz n Stegun. Also progrms suc s Mtemtic n Mple cn compute tem.) Ten J m (k mn ) J m (k mn ) [J m (k mn )] δ nn (19) 1.5 Solving potentil problem. Exmple. A cyliner of rius n eigt s its curve surfce n its bottom groune. Te top surfce s potentil V. Wt is te potentil insie te cyliner? Te potentil s no epenence on φ n so only eigenfunctions wit m contribute. Te potentil is zero t,sotesolutionweneeisj (k)wit eigenvlues cosen to mke J (k). Tus te eigenvlues re given by k n α n, were α n re te zeros of te function J. Te remining function of z must be zero t z, sowecooseteyperbolicsine. Tustepotentil is: Φ (,z) n J (k n )sin(k n z) Now we evlute tis t z : n1 V Φ (,) n J (k n )sin(k n ) n1 Next we mke use of te ortogonlity of te Bessel functions. Multiply bot sies by J (k r )n integrte from to. (Note ere tt te weigt function w (). Tis is te firsttimeweveseenweigtfunctionttisnot1.) Only one term in te sum, wit n r, survives te integrtion. V J (k r ) J (k r ) n J (k n )sin(k n ) n1 r [J (k r )] sin (k r ) r [J (k r )] sin (k r ) 7

8 To evlute te left n sie, we use eqution (16) wit m 1: J (k) 1 k k (kj 1 (k)) 1 k J 1 (k) k J 1 (k) So r V J 1 (k r ) k r [J (k r)] sin (k r ) V k r J 1 (k r )sin(k r ) wereweuseteresultfromeqution(15)ttj J 1. Finlly our solution is: J (α n /) sin (α n z/) Φ V α n J 1 (α n ) sin (α n /) n1 Te first two zeros of J re: α 1.448, α 5.51, n tus te first two terms in te potentil re: J.448 sin.448 z Φ V.448J 1 (.448) sin J 5.51 sin 5.51 z 5.51J 1 (5.51) sin Moifie Bessel functions Suppose we cnge te potentil problem so tt te top n bottom of te cyliner re groune but te outer wll t s potentil V (φ,z). Ten we woul nee to coose negtive seprtion constnt so tt te solutions of te z-eqution re trigonometric functions: Z z k Z Z sin kz + b cos kz At z,z(z), so we nee te sine, n terefore set b. We lso nee Z (), so we coose te eigenvlue k nπ/. Tis cnge in sign of te seprtion constnt lso ffects te eqution for te function R ()becuse te sign of te k term cnges. R or, cnging vribles to x k : x x R x k R m R xr m R () x 8

9 wic is clle te moifie Bessel eqution. Te solutions to tis eqution re J m (ik). It is usul to efine te moifie Bessel function I m (x) by te reltion: I m (x) 1 i m J m (ix) (1) so tt te function I m is lwys rel (weter or not m is n integer). Using eqution (4) we cn write series expnsion for I m : I m (x) 1 i m n n ( 1) n n!γ (n + m +1) m+n ix 1 x m+n () n!γ (n + m +1) As wit te Js, if m is n integer, I m is not inepenent of I m : in fct: I m (x) i m J m (ix) i m ( 1) m J m (ix) ( 1) m i m I m (x) I m (x) (3) Te secon inepenent solution is usully cosen to be: Ten tese functions ve te limiting forms: n I m (x) K m (x) π im+1 H (1) m (ix) (4) 1 x m for x 1 (5) Γ (m +1) K (x).577 ln x for x 1 (6) K m (x) Γ (m) m for m>, x 1 (7) x At lrge x, x 1,m, te symptotic forms re: I m (x) 1 πx e x (8) n π K m (x) x e x (9) (cf Le Cpter 3 Exmple 3.9) Tese functions, like te rel exponentils, o not ve multiple zeros n re not ortogonl functions. Note tt te Is re well beve t te origin but iverge t infinity. For te Ks, te reverse is true. Tey iverge t te origin but re well beve t infinity (See figure below). 9

10 I,K Moifie Bessel functions. K soli I se Blck m,blue 1, Re x Te recursion reltions stisife by te moifie Bessel functions re similr to, but not ienticl to, te reltions stisfie by te Js. For te Is, gin we cn strt wit te series: x Now let k n 1: x Im Im x m x m 1 m 1 m 1 m 1 x m x n n1 k k Im x m 1 x n n!γ (n + m +1) n x n 1 n!γ (n + m +1) 1 x k+1 k!γ (k + m +) 1 x k+m+1 k!γ (k + m +) I m+1 (x) x m (3) n similrly x (xm I m )x m I m 1 (31) Expning out n combining, we get: Im I m+1 + I m 1 m x I m I m 1 I m+1 (3) 1

11 For te Ks, te reltions re: n consequently: x (xm K m ) x m K m 1 ; x Km (x) x m K m+1 (x) x m 1.7 Combining functions K m 1 K m+1 m x K m K m 1 + K m+1 K m (33) Wen solving pysics problem, we strt wit prtil ifferentil eqution n set of bounry conitions. Seprtion of vribles prouces set of couple orinry ifferentil equtions in te vrious coorintes. Te stnr solution meto ("Ortogonl" notes ) requires tt we coose te seprtion constnts by fitting te zero bounry conitions first. In stnr 3-imensionl problem, once we ve cosen te two seprtion constnts we ve no more freeom n te tir function is etermine. Wen solving Lplce s eqution in cylinricl coorintes, te functions couple s follows: Zero bounry conitions in : J m α mn Te eigenfunctions re of te form: e ±imφ A mn sin α mn z + B mn cos α mn z Te set of functions J m αmn e ±imφ form complete ortogonl set on te surfces z constnt tt boun te region. Zero bounry conitions in z : Te eigenfunctions re of te form: nπ nπ nπz A mn I m + B mn K m sin e ±imφ Te set of functions sin nπz e ±imφ form complete ortogonl set on te bounry surfce constnt. Tus in solutions of Lplce s eqution, Jsin lwys couple wit te yperbolic sines n yperbolic cosines (or rel exponentils) in z, wile te Is n Ks in lwys couple wit te sines n cosines (or complex exponentils) in z. Exmple: Suppose te potentil on te curve wll of te cyliner is V (, φ,z)v sin φ Te top n bottom re groune Te solution is of te form Φ (, φ,z) + sin m n1 nπz nπ e imφ A mn I m 11 nπ + B mn K m

12 Te solution must be finite on xis t, so B mn. Now we evlute te potentil t Φ (, φ,z) + sin m n1 nπz nπ e imφ A mn I m V sin φ We mke use of ortogonlity by mutltiplying by sin pπz/ n integrting from to. + m n1 sin pπz nπz nπ sin ze imφ A mn I m + m pπ eimφ A mp I m Te result is non-zero only for o p. Next we mke use of te ortogonlity of te e imφ + m π pπ e imφ e imφ φa mp I m π V pπ p even V sin φ V sin φ pπ sin pπz z cos pπz V pπ sin φ [( 1)p 1] sin φe imφ φ To o te integrl on te rigt n sie, express te sine in terms of exponentils. π π sin φe imφ e iφ e iφ φ e imφ φ i π i (δ m 1 δ m, 1) Only one term wit m m survives te integrtion on te left n sie. Tus Φ (, φ,z) 4V π πa m pi m n1, o But I 1 I 1, (eqn 3), so pπ V π pπ i (δ m 1 δ m, 1) 1 (δ m 1 δ m, 1) i A m p 4V pπ sin Φ (, φ,z) 4V π nπz 1 in n1, o sin 1 e iφ I 1 nπz I m nπ I 1 nπ sin φ n pπ e iφ I 1 I nπ 1 I 1 nπ nπ I 1 nπ p o

13 Te imensions re correct, n te 1/n gives us resonble convergence. Te rtio I nπ 1 I nπ 1 for. 1 Te potentil t is zero, s expecte. Te m 1"source" (te potentil on te surfce) genertes n m 1response. Agin we cn look t te first few terms (ere 1). Let s tke / n φ π/4 (re) n Φ π/ (blck) pi/v ro/ 1.8 Continuous set of eigenvlues: te Fourier Bessel Trnsform In Le Cpter 7 we pproce te Fourier trnsform by letting te lengt of te omin in Fourier series problem become infinite. Te ortogonlity reltion for te exponentil functions: 1 L exp L L i nπx L exp i mπx L x δ mn becomes 1 e ikx e ikx x δ (k k ) π Tt is, te Kronecker elt becomes elt function, n te countble set of eigenvlues nπ/l becomes continuous set of vlues <k<. Te sme ting ppens wit Bessel functions. Wit finite omin in, sy, we cn etermine countble set of eigenvlues from te set of 13

14 zeros of te Bessel functions J m. If our omin in becomes infinite, ten we cnnot etermine te eigenvlues, n instewevecontinuousset. Te ortogonlity reltion: J m α mn J m α mk [J m (α mn )] δ nk becomes: J m (k) J m (k ) δ (k k ) (34) k (Te proof of tis reltion is in Le Appenix 7.) Ten te solution to te pysics problem is etermine s n integrl over k. For exmple, solution of Lplce s eqution my be written s: Φ (, φ,z) e imφ A (k) f (kz) J m (k) k m were f (kz) epens on te bounry conitions in z. It will be combintion of te exponentils e kz n e +kz. Exmple: Suppose te potentil is V () V sin on plne t z, n we wnt to fin te potentil for z>. Ten te pproprite function of z is e kz, cosen so tt Φ s z ( long wy from te plne). We lso nee te J m, wic remin finite t. Ten te solution is of te form: Φ (, φ,z) e imφ A m (k) e kz J m (k) k m Evluting Φ on te plne t z, we get: V sin Φ (, φ, ) e imφ A m (k) J m (k) k m Now we cn mke use of te ortogonlity of te e imφ. Multiply bot sies by e imφ n integrte over te rnge to π. On te LHS, only te term wit m survives te integrtion, n on te RHS only te term wit m m survives. π V sin π e imφ φ e imφ e imφ φ A m (k) J m (k) k m πv sin δ m π A m (k) J m (k) k Fourier Bessel trnsform. Next multiply bot sies by J m (k ), integrte from to in, n use eqution (34) to get: V sin J m (k ) δ m A m (k) J m (k) J m (k ) k A m (k) δ (k k ) k A m (k ) k k We lso rop te primes on te m for convenience. 14

15 wic etermines te coefficient A m (k ) in terms of te known potentil on te plne. Only A is non-zero, s expecte from te zimutl symmetry. On te RHS, let / x. We get (ropping te primes on k) V Tis integrl is GR 6.671#7. A (k) V k sin xj (xk) x A (k) k So if < 1 <k 1 1 (k) if <k<1 So finlly we ve Φ (,z) V 1/ kj (k) 1 (k) e kz k 1 xj x V 1 x e xz/ x For z we ve 1 xj x Φ (, ) V x V 1 1 x / sin wic gives us bck te potentil on te plne. Te crge ensity on te plne is given by E ẑ σ z ε GR 6.554# So we nee Φ z V z V V 1 1 x J x x 1 x x 1 x ( 1) n n [n!] ( 1) n n [n!] x n 1 n x x (n+1) 1 x x Let x sinθ, x cosθθ Ten te integrl is I n Tus π/ sin (n+1) θ cos θ cos θθ π/ sin (n+1) θ θ (n +1)!! π (n +)!! GR 3.61#3, Le C P9 15

16 Φ z V π z V π 4 ( 1) n [n!] ( 1) n n n n so te crge ensity on te plne is σ ε E z ε V π 4 (n!) ( 1) n n (n!) Teplotsowsteseriesupton 4. 8 n (n +1)!! n+1 (n +1)! n (n +1)!! n (n +1)! n (n +1)!! (n +1)! sigm /epsv ro/ Convince yourself tt tis grees wit te fiel line igrm. (Te se line is te potentil.) 16

Homework Assignment 5 Solution Set

Homework Assignment 5 Solution Set Homework Assignment 5 Solution Set PHYCS 44 3 Februry, 4 Problem Griffiths 3.8 The first imge chrge gurntees potentil of zero on the surfce. The secon imge chrge won t chnge the contribution to the potentil

More information

Homework Problem Set 1 Solutions

Homework Problem Set 1 Solutions Chemistry 460 Dr. Jen M. Stnr Homework Problem Set 1 Solutions 1. Determine the outcomes of operting the following opertors on the functions liste. In these functions, is constnt..) opertor: / ; function:

More information

Notes on the Eigenfunction Method for solving differential equations

Notes on the Eigenfunction Method for solving differential equations Notes on the Eigenfunction Metho for solving ifferentil equtions Reminer: Wereconsieringtheinfinite-imensionlHilbertspceL 2 ([, b] of ll squre-integrble functions over the intervl [, b] (ie, b f(x 2

More information

Fundamental Theorem of Calculus

Fundamental Theorem of Calculus Funmentl Teorem of Clculus Liming Png 1 Sttement of te Teorem Te funmentl Teorem of Clculus is one of te most importnt teorems in te istory of mtemtics, wic ws first iscovere by Newton n Leibniz inepenently.

More information

Problem Set 2 Solutions

Problem Set 2 Solutions Chemistry 362 Dr. Jen M. Stnr Problem Set 2 Solutions 1. Determine the outcomes of operting the following opertors on the functions liste. In these functions, is constnt.).) opertor: /x ; function: x e

More information

LECTURE 3. Orthogonal Functions. n X. It should be noted, however, that the vectors f i need not be orthogonal nor need they have unit length for

LECTURE 3. Orthogonal Functions. n X. It should be noted, however, that the vectors f i need not be orthogonal nor need they have unit length for ECTURE 3 Orthogonl Functions 1. Orthogonl Bses The pproprite setting for our iscussion of orthogonl functions is tht of liner lgebr. So let me recll some relevnt fcts bout nite imensionl vector spces.

More information

Physics 116C Solution of inhomogeneous ordinary differential equations using Green s functions

Physics 116C Solution of inhomogeneous ordinary differential equations using Green s functions Physics 6C Solution of inhomogeneous ordinry differentil equtions using Green s functions Peter Young November 5, 29 Homogeneous Equtions We hve studied, especilly in long HW problem, second order liner

More information

Sturm-Liouville Theory

Sturm-Liouville Theory LECTURE 1 Sturm-Liouville Theory In the two preceing lectures I emonstrte the utility of Fourier series in solving PDE/BVPs. As we ll now see, Fourier series re just the tip of the iceerg of the theory

More information

f a L Most reasonable functions are continuous, as seen in the following theorem:

f a L Most reasonable functions are continuous, as seen in the following theorem: Limits Suppose f : R R. To sy lim f(x) = L x mens tht s x gets closer n closer to, then f(x) gets closer n closer to L. This suggests tht the grph of f looks like one of the following three pictures: f

More information

lim P(t a,b) = Differentiate (1) and use the definition of the probability current, j = i (

lim P(t a,b) = Differentiate (1) and use the definition of the probability current, j = i ( PHYS851 Quntum Mechnics I, Fll 2009 HOMEWORK ASSIGNMENT 7 1. The continuity eqution: The probbility tht prticle of mss m lies on the intervl [,b] t time t is Pt,b b x ψx,t 2 1 Differentite 1 n use the

More information

Math Week 5 concepts and homework, due Friday February 10

Math Week 5 concepts and homework, due Friday February 10 Mt 2280-00 Week 5 concepts nd omework, due Fridy Februry 0 Recll tt ll problems re good for seeing if you cn work wit te underlying concepts; tt te underlined problems re to be nded in; nd tt te Fridy

More information

Math 142: Final Exam Formulas to Know

Math 142: Final Exam Formulas to Know Mth 4: Finl Exm Formuls to Know This ocument tells you every formul/strtegy tht you shoul know in orer to o well on your finl. Stuy it well! The helpful rules/formuls from the vrious review sheets my be

More information

Summary: Method of Separation of Variables

Summary: Method of Separation of Variables Physics 246 Electricity nd Mgnetism I, Fll 26, Lecture 22 1 Summry: Method of Seprtion of Vribles 1. Seprtion of Vribles in Crtesin Coordintes 2. Fourier Series Suggested Reding: Griffiths: Chpter 3, Section

More information

Chapter Five - Eigenvalues, Eigenfunctions, and All That

Chapter Five - Eigenvalues, Eigenfunctions, and All That Chpter Five - Eigenvlues, Eigenfunctions, n All Tht The prtil ifferentil eqution methos escrie in the previous chpter is specil cse of more generl setting in which we hve n eqution of the form L 1 xux,tl

More information

CHAPTER 9 BASIC CONCEPTS OF DIFFERENTIAL AND INTEGRAL CALCULUS

CHAPTER 9 BASIC CONCEPTS OF DIFFERENTIAL AND INTEGRAL CALCULUS CHAPTER 9 BASIC CONCEPTS OF DIFFERENTIAL AND INTEGRAL CALCULUS BASIC CONCEPTS OF DIFFERENTIAL AND INTEGRAL CALCULUS LEARNING OBJECTIVES After stuying this chpter, you will be ble to: Unerstn the bsics

More information

Chapter 2 Differentiation

Chapter 2 Differentiation Cpter Differentition. Introduction In its initil stges differentition is lrgely mtter of finding limiting vlues, wen te vribles ( δ ) pproces zero, nd to begin tis cpter few emples will be tken. Emple..:

More information

Lecture Note 4: Numerical differentiation and integration. Xiaoqun Zhang Shanghai Jiao Tong University

Lecture Note 4: Numerical differentiation and integration. Xiaoqun Zhang Shanghai Jiao Tong University Lecture Note 4: Numericl differentition nd integrtion Xioqun Zng Sngi Jio Tong University Lst updted: November, 0 Numericl Anlysis. Numericl differentition.. Introduction Find n pproximtion of f (x 0 ),

More information

SUPPLEMENTARY NOTES ON THE CONNECTION FORMULAE FOR THE SEMICLASSICAL APPROXIMATION

SUPPLEMENTARY NOTES ON THE CONNECTION FORMULAE FOR THE SEMICLASSICAL APPROXIMATION Physics 8.06 Apr, 2008 SUPPLEMENTARY NOTES ON THE CONNECTION FORMULAE FOR THE SEMICLASSICAL APPROXIMATION c R. L. Jffe 2002 The WKB connection formuls llow one to continue semiclssicl solutions from n

More information

Introduction to Complex Variables Class Notes Instructor: Louis Block

Introduction to Complex Variables Class Notes Instructor: Louis Block Introuction to omplex Vribles lss Notes Instructor: Louis Block Definition 1. (n remrk) We consier the complex plne consisting of ll z = (x, y) = x + iy, where x n y re rel. We write x = Rez (the rel prt

More information

Practice Problems Solution

Practice Problems Solution Prctice Problems Solution Problem Consier D Simple Hrmonic Oscilltor escribe by the Hmiltonin Ĥ ˆp m + mwˆx Recll the rte of chnge of the expecttion of quntum mechnicl opertor t A ī A, H] + h A t. Let

More information

Conservation Law. Chapter Goal. 6.2 Theory

Conservation Law. Chapter Goal. 6.2 Theory Chpter 6 Conservtion Lw 6.1 Gol Our long term gol is to unerstn how mthemticl moels re erive. Here, we will stuy how certin quntity chnges with time in given region (sptil omin). We then first erive the

More information

Math 211A Homework. Edward Burkard. = tan (2x + z)

Math 211A Homework. Edward Burkard. = tan (2x + z) Mth A Homework Ewr Burkr Eercises 5-C Eercise 8 Show tht the utonomous system: 5 Plne Autonomous Systems = e sin 3y + sin cos + e z, y = sin ( + 3y, z = tn ( + z hs n unstble criticl point t = y = z =

More information

PHYSICS 116C Homework 4 Solutions

PHYSICS 116C Homework 4 Solutions PHYSICS 116C Homework 4 Solutions 1. ( Simple hrmonic oscilltor. Clerly the eqution is of the Sturm-Liouville (SL form with λ = n 2, A(x = 1, B(x =, w(x = 1. Legendre s eqution. Clerly the eqution is of

More information

1 Solutions in cylindrical coordinates: Bessel functions

1 Solutions in cylindrical coordinates: Bessel functions 1 Solutions in cylindrical coordinates: Bessel functions 1.1 Bessel functions Bessel functions arise as solutions of potential problems in cylindrical coordinates. Laplace s equation in cylindrical coordinates

More information

Riemann Sums and Riemann Integrals

Riemann Sums and Riemann Integrals Riemnn Sums nd Riemnn Integrls Jmes K. Peterson Deprtment of Biologicl Sciences nd Deprtment of Mthemticl Sciences Clemson University August 26, 203 Outline Riemnn Sums Riemnn Integrls Properties Abstrct

More information

Overview of Calculus

Overview of Calculus Overview of Clculus June 6, 2016 1 Limits Clculus begins with the notion of limit. In symbols, lim f(x) = L x c In wors, however close you emn tht the function f evlute t x, f(x), to be to the limit L

More information

f(x) dx, If one of these two conditions is not met, we call the integral improper. Our usual definition for the value for the definite integral

f(x) dx, If one of these two conditions is not met, we call the integral improper. Our usual definition for the value for the definite integral Improper Integrls Every time tht we hve evluted definite integrl such s f(x) dx, we hve mde two implicit ssumptions bout the integrl:. The intervl [, b] is finite, nd. f(x) is continuous on [, b]. If one

More information

Chapter 2. Numerical Integration also called quadrature. 2.2 Trapezoidal Rule. 2.1 A basic principle Extending the Trapezoidal Rule DRAWINGS

Chapter 2. Numerical Integration also called quadrature. 2.2 Trapezoidal Rule. 2.1 A basic principle Extending the Trapezoidal Rule DRAWINGS S Cpter Numericl Integrtion lso clled qudrture Te gol of numericl integrtion is to pproximte numericlly. f(x)dx Tis is useful for difficult integrls like sin(x) ; sin(x ); x + x 4 Or worse still for multiple-dimensionl

More information

3 Mathematics of the Poisson Equation

3 Mathematics of the Poisson Equation 3 Mthemtics of the Poisson Eqution 3. Green functions nd the Poisson eqution () The Dirichlet Green function stisfies the Poisson eqution with delt-function chrge 2 G D (r, r o ) = δ 3 (r r o ) (3.) nd

More information

1.2. Linear Variable Coefficient Equations. y + b "! = a y + b " Remark: The case b = 0 and a non-constant can be solved with the same idea as above.

1.2. Linear Variable Coefficient Equations. y + b ! = a y + b  Remark: The case b = 0 and a non-constant can be solved with the same idea as above. 1 12 Liner Vrible Coefficient Equtions Section Objective(s): Review: Constnt Coefficient Equtions Solving Vrible Coefficient Equtions The Integrting Fctor Method The Bernoulli Eqution 121 Review: Constnt

More information

The Wave Equation I. MA 436 Kurt Bryan

The Wave Equation I. MA 436 Kurt Bryan 1 Introduction The Wve Eqution I MA 436 Kurt Bryn Consider string stretching long the x xis, of indeterminte (or even infinite!) length. We wnt to derive n eqution which models the motion of the string

More information

c n φ n (x), 0 < x < L, (1) n=1

c n φ n (x), 0 < x < L, (1) n=1 SECTION : Fourier Series. MATH4. In section 4, we will study method clled Seprtion of Vribles for finding exct solutions to certin clss of prtil differentil equtions (PDEs. To do this, it will be necessry

More information

Improper Integrals, and Differential Equations

Improper Integrals, and Differential Equations Improper Integrls, nd Differentil Equtions October 22, 204 5.3 Improper Integrls Previously, we discussed how integrls correspond to res. More specificlly, we sid tht for function f(x), the region creted

More information

Riemann Sums and Riemann Integrals

Riemann Sums and Riemann Integrals Riemnn Sums nd Riemnn Integrls Jmes K. Peterson Deprtment of Biologicl Sciences nd Deprtment of Mthemticl Sciences Clemson University August 26, 2013 Outline 1 Riemnn Sums 2 Riemnn Integrls 3 Properties

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

5.4, 6.1, 6.2 Handout. As we ve discussed, the integral is in some way the opposite of taking a derivative. The exact relationship

5.4, 6.1, 6.2 Handout. As we ve discussed, the integral is in some way the opposite of taking a derivative. The exact relationship 5.4, 6.1, 6.2 Hnout As we ve iscusse, the integrl is in some wy the opposite of tking erivtive. The exct reltionship is given by the Funmentl Theorem of Clculus: The Funmentl Theorem of Clculus: If f is

More information

Partial Differential Equations

Partial Differential Equations Prtil Differentil Equtions Notes by Robert Piché, Tmpere University of Technology reen s Functions. reen s Function for One-Dimensionl Eqution The reen s function provides complete solution to boundry

More information

Basic Derivative Properties

Basic Derivative Properties Bsic Derivtive Properties Let s strt this section by remining ourselves tht the erivtive is the slope of function Wht is the slope of constnt function? c FACT 2 Let f () =c, where c is constnt Then f 0

More information

A REVIEW OF CALCULUS CONCEPTS FOR JDEP 384H. Thomas Shores Department of Mathematics University of Nebraska Spring 2007

A REVIEW OF CALCULUS CONCEPTS FOR JDEP 384H. Thomas Shores Department of Mathematics University of Nebraska Spring 2007 A REVIEW OF CALCULUS CONCEPTS FOR JDEP 384H Thoms Shores Deprtment of Mthemtics University of Nebrsk Spring 2007 Contents Rtes of Chnge nd Derivtives 1 Dierentils 4 Are nd Integrls 5 Multivrite Clculus

More information

Convergence of Fourier Series and Fejer s Theorem. Lee Ricketson

Convergence of Fourier Series and Fejer s Theorem. Lee Ricketson Convergence of Fourier Series nd Fejer s Theorem Lee Ricketson My, 006 Abstrct This pper will ddress the Fourier Series of functions with rbitrry period. We will derive forms of the Dirichlet nd Fejer

More information

Problem Set 3 Solutions

Problem Set 3 Solutions Msschusetts Institute of Technology Deprtment of Physics Physics 8.07 Fll 2005 Problem Set 3 Solutions Problem 1: Cylindricl Cpcitor Griffiths Problems 2.39: Let the totl chrge per unit length on the inner

More information

Lecture 13 - Linking E, ϕ, and ρ

Lecture 13 - Linking E, ϕ, and ρ Lecture 13 - Linking E, ϕ, nd ρ A Puzzle... Inner-Surfce Chrge Density A positive point chrge q is locted off-center inside neutrl conducting sphericl shell. We know from Guss s lw tht the totl chrge on

More information

Green function and Eigenfunctions

Green function and Eigenfunctions Green function nd Eigenfunctions Let L e regulr Sturm-Liouville opertor on n intervl (, ) together with regulr oundry conditions. We denote y, φ ( n, x ) the eigenvlues nd corresponding normlized eigenfunctions

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

63. Representation of functions as power series Consider a power series. ( 1) n x 2n for all 1 < x < 1

63. Representation of functions as power series Consider a power series. ( 1) n x 2n for all 1 < x < 1 3 9. SEQUENCES AND SERIES 63. Representtion of functions s power series Consider power series x 2 + x 4 x 6 + x 8 + = ( ) n x 2n It is geometric series with q = x 2 nd therefore it converges for ll q =

More information

Improper Integrals. Type I Improper Integrals How do we evaluate an integral such as

Improper Integrals. Type I Improper Integrals How do we evaluate an integral such as Improper Integrls Two different types of integrls cn qulify s improper. The first type of improper integrl (which we will refer to s Type I) involves evluting n integrl over n infinite region. In the grph

More information

Chapter 5. , r = r 1 r 2 (1) µ = m 1 m 2. r, r 2 = R µ m 2. R(m 1 + m 2 ) + m 2 r = r 1. m 2. r = r 1. R + µ m 1

Chapter 5. , r = r 1 r 2 (1) µ = m 1 m 2. r, r 2 = R µ m 2. R(m 1 + m 2 ) + m 2 r = r 1. m 2. r = r 1. R + µ m 1 Tor Kjellsson Stockholm University Chpter 5 5. Strting with the following informtion: R = m r + m r m + m, r = r r we wnt to derive: µ = m m m + m r = R + µ m r, r = R µ m r 3 = µ m R + r, = µ m R r. 4

More information

Physics Lecture 14: MON 29 SEP

Physics Lecture 14: MON 29 SEP Physics 2113 Physics 2113 Lecture 14: MON 29 SEP CH25: Cpcitnce Von Kleist ws le to store electricity in the jr. Unknowingly, he h ctully invente novel evice to store potentil ifference. The wter in the

More information

12 Basic Integration in R

12 Basic Integration in R 14.102, Mt for Economists Fll 2004 Lecture Notes, 10/14/2004 Tese notes re primrily bsed on tose written by Andrei Bremzen for 14.102 in 2002/3, nd by Mrek Pyci for te MIT Mt Cmp in 2003/4. I ve mde only

More information

ax bx c (2) x a x a x a 1! 2!! gives a useful way of approximating a function near to some specific point x a, giving a power-series expansion in x

ax bx c (2) x a x a x a 1! 2!! gives a useful way of approximating a function near to some specific point x a, giving a power-series expansion in x Elementr mthemticl epressions Qurtic equtions b b b The solutions to the generl qurtic eqution re (1) b c () b b 4c (3) Tlor n Mclurin series (power-series epnsion) The Tlor series n n f f f n 1!! n! f

More information

Best Approximation. Chapter The General Case

Best Approximation. Chapter The General Case Chpter 4 Best Approximtion 4.1 The Generl Cse In the previous chpter, we hve seen how n interpolting polynomil cn be used s n pproximtion to given function. We now wnt to find the best pproximtion to given

More information

1 1D heat and wave equations on a finite interval

1 1D heat and wave equations on a finite interval 1 1D het nd wve equtions on finite intervl In this section we consider generl method of seprtion of vribles nd its pplictions to solving het eqution nd wve eqution on finite intervl ( 1, 2. Since by trnsltion

More information

Bessel Functions. y 2

Bessel Functions. y 2 Bessel Functions Vibrtions of Membrne The governing eqution for the isplcement w, y, t)from the equilibrium position the plne z ) is w c w t ) [ The ssumptions re:- + y i) Tht the ction cross the element

More information

TRANSVERSE VIBRATION OF A BEAM VIA THE FINITE ELEMENT METHOD Revision E

TRANSVERSE VIBRATION OF A BEAM VIA THE FINITE ELEMENT METHOD Revision E RANSVERSE VIBRAION OF A BEAM VIA HE FINIE ELEMEN MEHOD Revision E B om Irvine Emil: tomirvine@ol.com November 8 8 Introuction Mn structures re too complex for nlsis vi clssicl meto. Close-form solutions

More information

EULER-LAGRANGE EQUATIONS. Contents. 2. Variational formulation 2 3. Constrained systems and d Alembert principle Legendre transform 6

EULER-LAGRANGE EQUATIONS. Contents. 2. Variational formulation 2 3. Constrained systems and d Alembert principle Legendre transform 6 EULER-LAGRANGE EQUATIONS EUGENE LERMAN Contents 1. Clssicl system of N prticles in R 3 1 2. Vritionl formultion 2 3. Constrine systems n Alembert principle. 4 4. Legenre trnsform 6 1. Clssicl system of

More information

Phys 6321 Final Exam - Solutions May 3, 2013

Phys 6321 Final Exam - Solutions May 3, 2013 Phys 6321 Finl Exm - Solutions My 3, 2013 You my NOT use ny book or notes other thn tht supplied with this test. You will hve 3 hours to finish. DO YOUR OWN WORK. Express your nswers clerly nd concisely

More information

HOMEWORK SOLUTIONS MATH 1910 Sections 7.9, 8.1 Fall 2016

HOMEWORK SOLUTIONS MATH 1910 Sections 7.9, 8.1 Fall 2016 HOMEWORK SOLUTIONS MATH 9 Sections 7.9, 8. Fll 6 Problem 7.9.33 Show tht for ny constnts M,, nd, the function yt) = )) t ) M + tnh stisfies the logistic eqution: y SOLUTION. Let Then nd Finlly, y = y M

More information

Anti-derivatives/Indefinite Integrals of Basic Functions

Anti-derivatives/Indefinite Integrals of Basic Functions Anti-derivtives/Indefinite Integrls of Bsic Functions Power Rule: In prticulr, this mens tht x n+ x n n + + C, dx = ln x + C, if n if n = x 0 dx = dx = dx = x + C nd x (lthough you won t use the second

More information

Integration Techniques

Integration Techniques Integrtion Techniques. Integrtion of Trigonometric Functions Exmple. Evlute cos x. Recll tht cos x = cos x. Hence, cos x Exmple. Evlute = ( + cos x) = (x + sin x) + C = x + 4 sin x + C. cos 3 x. Let u

More information

Math 20C Multivariable Calculus Lecture 5 1. Lines and planes. Equations of lines (Vector, parametric, and symmetric eqs.). Equations of lines

Math 20C Multivariable Calculus Lecture 5 1. Lines and planes. Equations of lines (Vector, parametric, and symmetric eqs.). Equations of lines Mt 2C Multivrible Clculus Lecture 5 1 Lines nd plnes Slide 1 Equtions of lines (Vector, prmetric, nd symmetric eqs.). Equtions of plnes. Distnce from point to plne. Equtions of lines Slide 2 Definition

More information

5.7 Improper Integrals

5.7 Improper Integrals 458 pplictions of definite integrls 5.7 Improper Integrls In Section 5.4, we computed the work required to lift pylod of mss m from the surfce of moon of mss nd rdius R to height H bove the surfce of the

More information

221B Lecture Notes WKB Method

221B Lecture Notes WKB Method Clssicl Limit B Lecture Notes WKB Method Hmilton Jcobi Eqution We strt from the Schrödinger eqution for single prticle in potentil i h t ψ x, t = [ ] h m + V x ψ x, t. We cn rewrite this eqution by using

More information

Mutipy by r sin RT P to get sin R r r R + T sin (sin T )+ P P = (7) ffi So we hve P P ffi = m (8) choose m re so tht P is sinusoi. If we put this in b

Mutipy by r sin RT P to get sin R r r R + T sin (sin T )+ P P = (7) ffi So we hve P P ffi = m (8) choose m re so tht P is sinusoi. If we put this in b Topic 4: Lpce Eqution in Spheric Co-orintes n Mutipoe Expnsion Reing Assignment: Jckson Chpter 3.-3.5. Lpce Eqution in Spheric Coorintes Review of spheric por coorintes: x = r sin cos ffi y = r sin sin

More information

Topic 6b Finite Difference Approximations

Topic 6b Finite Difference Approximations /8/8 Course Instructor Dr. Rymond C. Rump Oice: A 7 Pone: (95) 747 6958 E Mil: rcrump@utep.edu Topic 6b Finite Dierence Approximtions EE 486/5 Computtionl Metods in EE Outline Wt re inite dierence pproximtions?

More information

Introduction and Review

Introduction and Review Chpter 6A Notes Pge of Introuction n Review Derivtives y = f(x) y x = f (x) Evlute erivtive t x = : y = x x= f f(+h) f() () = lim h h Geometric Interprettion: see figure slope of the line tngent to f t

More information

Waveguides Free Space. Modal Excitation. Daniel S. Weile. Department of Electrical and Computer Engineering University of Delaware

Waveguides Free Space. Modal Excitation. Daniel S. Weile. Department of Electrical and Computer Engineering University of Delaware Modl Excittion Dniel S. Weile Deprtment of Electricl nd Computer Engineering University of Delwre ELEG 648 Modl Excittion in Crtesin Coordintes Outline 1 Aperture Excittion Current Excittion Outline 1

More information

Consequently, the temperature must be the same at each point in the cross section at x. Let:

Consequently, the temperature must be the same at each point in the cross section at x. Let: HW 2 Comments: L1-3. Derive the het eqution for n inhomogeneous rod where the therml coefficients used in the derivtion of the het eqution for homogeneous rod now become functions of position x in the

More information

8 Laplace s Method and Local Limit Theorems

8 Laplace s Method and Local Limit Theorems 8 Lplce s Method nd Locl Limit Theorems 8. Fourier Anlysis in Higher DImensions Most of the theorems of Fourier nlysis tht we hve proved hve nturl generliztions to higher dimensions, nd these cn be proved

More information

MATH 174A: PROBLEM SET 5. Suggested Solution

MATH 174A: PROBLEM SET 5. Suggested Solution MATH 174A: PROBLEM SET 5 Suggested Solution Problem 1. Suppose tht I [, b] is n intervl. Let f 1 b f() d for f C(I; R) (i.e. f is continuous rel-vlued function on I), nd let L 1 (I) denote the completion

More information

1 Review: Volumes of Solids (Stewart )

1 Review: Volumes of Solids (Stewart ) Lecture : Some Bic Appliction of Te Integrl (Stewrt 6.,6.,.,.) ul Krin eview: Volume of Solid (Stewrt 6.-6.) ecll: we d provided two metod for determining te volume of olid of revolution. Te rt w by dic

More information

A, Electromagnetic Fields Final Exam December 14, 2001 Solution

A, Electromagnetic Fields Final Exam December 14, 2001 Solution 304-351, Electrognetic Fiels Finl Ex Deceer 14, 2001 Solution 1. e9.8. In chpter9.proles.extr.two loops, e of thin wire crry equl n opposite currents s shown in the figure elow. The rius of ech loop is

More information

5.3 The Fundamental Theorem of Calculus

5.3 The Fundamental Theorem of Calculus CHAPTER 5. THE DEFINITE INTEGRAL 35 5.3 The Funmentl Theorem of Clculus Emple. Let f(t) t +. () Fin the re of the region below f(t), bove the t-is, n between t n t. (You my wnt to look up the re formul

More information

Math 3B Final Review

Math 3B Final Review Mth 3B Finl Review Written by Victori Kl vtkl@mth.ucsb.edu SH 6432u Office Hours: R 9:45-10:45m SH 1607 Mth Lb Hours: TR 1-2pm Lst updted: 12/06/14 This is continution of the midterm review. Prctice problems

More information

If we have a function f(x) which is well-defined for some a x b, its integral over those two values is defined as

If we have a function f(x) which is well-defined for some a x b, its integral over those two values is defined as Y. D. Chong (26) MH28: Complex Methos for the Sciences 2. Integrls If we hve function f(x) which is well-efine for some x, its integrl over those two vlues is efine s N ( ) f(x) = lim x f(x n ) where x

More information

The Dirac distribution

The Dirac distribution A DIRAC DISTRIBUTION A The Dirc distribution A Definition of the Dirc distribution The Dirc distribution δx cn be introduced by three equivlent wys Dirc [] defined it by reltions δx dx, δx if x The distribution

More information

Chapter 0. What is the Lebesgue integral about?

Chapter 0. What is the Lebesgue integral about? Chpter 0. Wht is the Lebesgue integrl bout? The pln is to hve tutoril sheet ech week, most often on Fridy, (to be done during the clss) where you will try to get used to the ides introduced in the previous

More information

VII. The Integral. 50. Area under a Graph. y = f(x)

VII. The Integral. 50. Area under a Graph. y = f(x) VII. The Integrl In this chpter we efine the integrl of function on some intervl [, b]. The most common interprettion of the integrl is in terms of the re uner the grph of the given function, so tht is

More information

Unit #9 : Definite Integral Properties; Fundamental Theorem of Calculus

Unit #9 : Definite Integral Properties; Fundamental Theorem of Calculus Unit #9 : Definite Integrl Properties; Fundmentl Theorem of Clculus Gols: Identify properties of definite integrls Define odd nd even functions, nd reltionship to integrl vlues Introduce the Fundmentl

More information

) 4n+2 sin[(4n + 2)φ] n=0. a n ρ n sin(nφ + α n ) + b n ρ n sin(nφ + β n ) n=1. n=1. [A k ρ k cos(kφ) + B k ρ k sin(kφ)] (1) 2 + k=1

) 4n+2 sin[(4n + 2)φ] n=0. a n ρ n sin(nφ + α n ) + b n ρ n sin(nφ + β n ) n=1. n=1. [A k ρ k cos(kφ) + B k ρ k sin(kφ)] (1) 2 + k=1 Physics 505 Fll 2007 Homework Assignment #3 Solutions Textbook problems: Ch. 2: 2.4, 2.5, 2.22, 2.23 2.4 A vrint of the preceeding two-dimensionl problem is long hollow conducting cylinder of rdius b tht

More information

APPM 4360/5360 Homework Assignment #7 Solutions Spring 2016

APPM 4360/5360 Homework Assignment #7 Solutions Spring 2016 APPM 436/536 Homework Assignment #7 Solutions Spring 6 Problem # ( points: Evlute the following rel integrl by residue integrtion: x 3 sinkx x 4 4, k rel, 4 > Solution: Since the integrnd is even function,

More information

A P P E N D I X POWERS OF TEN AND SCIENTIFIC NOTATION A P P E N D I X SIGNIFICANT FIGURES

A P P E N D I X POWERS OF TEN AND SCIENTIFIC NOTATION A P P E N D I X SIGNIFICANT FIGURES A POWERS OF TEN AND SCIENTIFIC NOTATION In science, very lrge nd very smll deciml numbers re conveniently expressed in terms of powers of ten, some of wic re listed below: 0 3 0 0 0 000 0 3 0 0 0 0.00

More information

F / x everywhere in some domain containing R. Then, + ). (10.4.1)

F / x everywhere in some domain containing R. Then, + ). (10.4.1) 0.4 Green's theorem in the plne Double integrls over plne region my be trnsforme into line integrls over the bounry of the region n onversely. This is of prtil interest beuse it my simplify the evlution

More information

Polytechnic Institute of NYU MA 2122 Worksheet 4

Polytechnic Institute of NYU MA 2122 Worksheet 4 Polytechnic Institute of NYU MA 222 Worksheet 4 Print Nme: ignture: ID #: Instructor/ection: / Directions: how ll your work for every problem. Problem Possible Points 20 2 5 3 5 4 0 5 0 6 5 7 5 Totl 00

More information

Definition of Continuity: The function f(x) is continuous at x = a if f(a) exists and lim

Definition of Continuity: The function f(x) is continuous at x = a if f(a) exists and lim Mth 9 Course Summry/Study Guide Fll, 2005 [1] Limits Definition of Limit: We sy tht L is the limit of f(x) s x pproches if f(x) gets closer nd closer to L s x gets closer nd closer to. We write lim f(x)

More information

Lecture 6: Singular Integrals, Open Quadrature rules, and Gauss Quadrature

Lecture 6: Singular Integrals, Open Quadrature rules, and Gauss Quadrature Lecture notes on Vritionl nd Approximte Methods in Applied Mthemtics - A Peirce UBC Lecture 6: Singulr Integrls, Open Qudrture rules, nd Guss Qudrture (Compiled 6 August 7) In this lecture we discuss the

More information

, the action per unit length. We use g = 1 and will use the function. gψd 2 x = A 36. Ψ 2 d 2 x = A2 45

, the action per unit length. We use g = 1 and will use the function. gψd 2 x = A 36. Ψ 2 d 2 x = A2 45 Gbriel Brello - Clssicl Electrodynmics.. For this problem, we compute A L z, the ction per unit length. We use g = nd will use the function Ψx, y = Ax x y y s the form of our pproximte solution. First

More information

Math Fall 2006 Sample problems for the final exam: Solutions

Math Fall 2006 Sample problems for the final exam: Solutions Mth 42-5 Fll 26 Smple problems for the finl exm: Solutions Any problem my be ltered or replced by different one! Some possibly useful informtion Prsevl s equlity for the complex form of the Fourier series

More information

4.5 THE FUNDAMENTAL THEOREM OF CALCULUS

4.5 THE FUNDAMENTAL THEOREM OF CALCULUS 4.5 The Funmentl Theorem of Clculus Contemporry Clculus 4.5 THE FUNDAMENTAL THEOREM OF CALCULUS This section contins the most importnt n most use theorem of clculus, THE Funmentl Theorem of Clculus. Discovere

More information

p(t) dt + i 1 re it ireit dt =

p(t) dt + i 1 re it ireit dt = Note: This mteril is contined in Kreyszig, Chpter 13. Complex integrtion We will define integrls of complex functions long curves in C. (This is bit similr to [relvlued] line integrls P dx + Q dy in R2.)

More information

1 The Riemann Integral

1 The Riemann Integral The Riemnn Integrl. An exmple leding to the notion of integrl (res) We know how to find (i.e. define) the re of rectngle (bse height), tringle ( (sum of res of tringles). But how do we find/define n re

More information

221A Lecture Notes WKB Method

221A Lecture Notes WKB Method A Lecture Notes WKB Method Hmilton Jcobi Eqution We strt from the Schrödinger eqution for single prticle in potentil i h t ψ x, t = [ ] h m + V x ψ x, t. We cn rewrite this eqution by using ψ x, t = e

More information

Theoretische Physik 2: Elektrodynamik (Prof. A.-S. Smith) Home assignment 4

Theoretische Physik 2: Elektrodynamik (Prof. A.-S. Smith) Home assignment 4 WiSe 1 8.1.1 Prof. Dr. A.-S. Smith Dipl.-Phys. Ellen Fischermeier Dipl.-Phys. Mtthis Sb m Lehrstuhl für Theoretische Physik I Deprtment für Physik Friedrich-Alexnder-Universität Erlngen-Nürnberg Theoretische

More information

Math& 152 Section Integration by Parts

Math& 152 Section Integration by Parts Mth& 5 Section 7. - Integrtion by Prts Integrtion by prts is rule tht trnsforms the integrl of the product of two functions into other (idelly simpler) integrls. Recll from Clculus I tht given two differentible

More information

Massachusetts Institute of Technology Quantum Mechanics I (8.04) Spring 2005 Solutions to Problem Set 6

Massachusetts Institute of Technology Quantum Mechanics I (8.04) Spring 2005 Solutions to Problem Set 6 Msschusetts Institute of Technology Quntum Mechnics I (8.) Spring 5 Solutions to Problem Set 6 By Kit Mtn. Prctice with delt functions ( points) The Dirc delt function my be defined s such tht () (b) 3

More information

( ) 2. ( ) is the Fourier transform of! ( x). ( ) ( ) ( ) = Ae i kx"#t ( ) = 1 2" ( )"( x,t) PC 3101 Quantum Mechanics Section 1

( ) 2. ( ) is the Fourier transform of! ( x). ( ) ( ) ( ) = Ae i kx#t ( ) = 1 2 ( )( x,t) PC 3101 Quantum Mechanics Section 1 1. 1D Schrödinger Eqution G chpters 3-4. 1.1 the Free Prticle V 0 "( x,t) i = 2 t 2m x,t = Ae i kxt "( x,t) x 2 where = k 2 2m. Normliztion must hppen: 2 x,t = 1 Here, however: " A 2 dx " " As this integrl

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

Jim Lambers MAT 169 Fall Semester Lecture 4 Notes

Jim Lambers MAT 169 Fall Semester Lecture 4 Notes Jim Lmbers MAT 169 Fll Semester 2009-10 Lecture 4 Notes These notes correspond to Section 8.2 in the text. Series Wht is Series? An infinte series, usully referred to simply s series, is n sum of ll of

More information

Problem Set 3 Solutions

Problem Set 3 Solutions Chemistry 36 Dr Jen M Stndrd Problem Set 3 Solutions 1 Verify for the prticle in one-dimensionl box by explicit integrtion tht the wvefunction ψ ( x) π x is normlized To verify tht ψ ( x) is normlized,

More information

ODE: Existence and Uniqueness of a Solution

ODE: Existence and Uniqueness of a Solution Mth 22 Fll 213 Jerry Kzdn ODE: Existence nd Uniqueness of Solution The Fundmentl Theorem of Clculus tells us how to solve the ordinry differentil eqution (ODE) du = f(t) dt with initil condition u() =

More information

MA 201: Partial Differential Equations Lecture - 12

MA 201: Partial Differential Equations Lecture - 12 Two dimensionl Lplce Eqution MA 201: Prtil Differentil Equtions Lecture - 12 The Lplce Eqution (the cnonicl elliptic eqution) Two dimensionl Lplce Eqution Two dimensionl Lplce Eqution 2 u = u xx + u yy

More information