Ewald s Method Revisited: Rapidly Convergent Series Representations of Certain Green s Functions. Vassilis G. Papanicolaou 1

Size: px
Start display at page:

Download "Ewald s Method Revisited: Rapidly Convergent Series Representations of Certain Green s Functions. Vassilis G. Papanicolaou 1"

Transcription

1 wald s Mthod Rvisitd: Rapidly Convrgnt Sris Rprsntations of Crtain Grn s Functions Vassilis G. Papanicolaou 1 Suggstd Running Had: wald s Mthod Rvisitd Complt Mailing Addrss of Contact Author for offic purposs: Vassilis G. Papanicolaou Dpartmnt of Mathmatics and Statistics Wichita Stat Univrsity Wichita, KS tl FAX mail: papanico@cs.twsu.du 1 Dpartmnt of Mathmatics and Statistics, Wichita Stat Univrsity, Wichita, KS

2 ABSTRACT W propos a justification of wald s mthod of obtaining rapidly convrgnt sris for th Grn s function of th 3-dimnsional Hlmholtz quation. Our point of viw nabls us to xtnd th mthod to Grn s functions for th Hlmholtz quation in crtain domains of R d, with quit gnral boundary conditions. Ky words. Hlmholtz quation, Grn s function, wald s mthod. 2

3 1 Introduction In 1921 P. P. wald publishd a snsational papr s [1]. H prsntd a mthod that was usd to transform th slowly convrgnt sris of th Grn s function of th 3-d Hlmholtz quation, with Floqut.g. priodic boundary conditions in th x and y dirctions, to a sris that convrgs vry rapidly. wald s mthod givs spctacular computational rsults and hnc it has bn usd xtnsivly by physicist, nginrs, and numrical analysts as an xampl, s [2]. Howvr, it is not transparnt at all. Th radr is usually lft with th imprssion that it works by coincidnc. Th mthod is basd on th formula ikr R = 1 π xp R 2 z 2 + K2 4z 2 dz, which somhow coms out of th blu. In this not w propos a point of viw that shds som undrstanding to th undrlying structur of wald s approach. This nabls us to asily xtnd his mthod to any dimnsion and a varity of boundary conditions. 2 A Rapidly Convrgnt Sris for th Grn s Function Lt L b a slf-adjoint oprator on th spac L 2 D, whr D is a domain in R d, such that inf σl = λ, whr σl is th spctrum of L. If λ is a complx numbr with R {λ} < λ, thn L λ 1 = λt tl dt. In trms of intgral krnls, th abov quation can b writtn as Gx, y; λ = λt pt, x, ydt, 1 whr Gx, y; λ is th Grn s function and pt, x, y th hat krnl associatd to L thus, th Grn s function is th Laplac transform of th hat krnl, viwd as a function of t. Th intgral in 1 convrgs if R {λ} < λ and divrgs if R {λ} > λ if R {λ} = λ, convrgnc is possibl. On th othr hand, Gx, y; λ is analytic in λ, on C \ σl. If L =, acting on R d hnc σl = [, ; L is th fr d- dimnsional ngativ Laplacian oprator, thn its hat krnl is 3

4 1 pt, x, y = 4πt d/2 xp x y 2. 4t Lt Γ d x, y; λ b th corrsponding Grn s function, i.. th intgral krnl of L λ 1. Thn 1 givs 1 x y 2 Γ d x, y; λ = xp λt dt df = Γ d/2 d x y ; λ 4πt 4t 2 Γ d x, x; λ =, if d 2. By dforming th contour of th abov intgral, w can gt Γ d x, y; λ, for R {λ}, but on can do vn bttr, sinc Γ d x y ; λ can b computd xplicitly. If d = 1, it is asy to s by solving th associatd ordinary diffrntial quation for Γ 1 that λ x y Γ 1 x, y; λ = Γ 1 x y ; λ = 2 λ. Furthrmor, from 2 on obsrvs that d dλ Γ dr; λ = 1 4π Γ d 2R; λ. From this quation on can comput Γ d x, y; λ for all odd dimnsions d: λ x y Γ 3 x, y; λ = 4π x y, tc. If d is vn, Γ d x, y; λ is not an lmntary function. On can find th radial solutions of th quation to conclud that for all d Γ d x, y; λ = u = λu + δx, x R d, 1 λ 2π d/2 λd/4 1/2 x y 1 d/2 K d/2 1 x y, whr K ν is th modifid Bssl function of th 2nd kind, of ordr ν. Finally, w notic that Γ d R; λ dcays xponntially, as R. This is asy to stablish if d is odd, whras, if d is vn, on can, for xampl, us 2 to gt th stimat Γ d R; λ < Γ d+1 R; λ + Γ d 1 R; λ 4

5 altrnativly, on can do asymptotic analysis, as x y, to th intgral in 2. Now considr th domain D in R d D =, b 1, b r R d r r is som intgr btwn 1 and d, and lt L α = act on D with α- Floqut-Bloch boundary conditions. This mans that thr ar numbrs α 1,..., α r such that, for u to b in th domain of L α, w must hav ux 1,..., b j,..., x d = iα jb j ux 1,...,,..., x d, ux 1,..., b j,..., x d = iα jb j ux 1,...,,..., x d, 3 for all j = 1,..., r. Without loss of gnrality w assum that π < α j π, j = 1,..., r. b j b j Th mthod of imags givs that th Grn s function of L α is Gx, y; λ = m Z iα mb Γ d x + mb, y; λ, r whr α = α 1,..., α r,,..., and mb = m 1 b 1,..., m r b r,,..., ar considrd in R d. Using 2 in th abov quation, w gt Gx, y; λ = m Z iα mb 1 x y + mb 2 xp λt dt, d/2 r 4πt 4t 4 whr, for λ < or, mor gnrally, R {λ} <, th sris convrgs absolutly, providd x y x and y ar in D. W now show how to obtain a sris rprsntation of Gx, y; λ, x y, that convrgs vry rapidly, for all λ C \ N, whr N is a discrt countabl st. First w writ following wald s approach Gx, y; λ = G 1 x, y; λ + G 2 x, y; λ, whr G 1 x, y; λ = m Z r iα mb 1 4πt d/2 xp λt x y + mb 2 dt, 4t 5 5

6 G 2 x, y; λ = m Z r iα mb 1 4πt d/2 xp λt x y + mb 2 dt, 4t 6 and is a positiv numbr. Obsrv that G 1 x, y; λ and G 2 x, y; λ ar th intgral krnls of th oprators tlα λ dt and tlα λ dt = L α λ 1 Lα λ, rspctivly. Th sris for G 1 x, y; λ, givn in 5, is alrady rapidly convrgnt, for all λ C as long as x y, sinc its gnral trm dcays in m lik C mb 2 xp mb 2 /4. In th cas r = d, G 2 x, y; λ, bing th intgral krnl of L α λ 1 L α λ, has th ignfunction xpansion G 2 x, y; λ = 1 D m Z d [ α 2 +4π 2 m/b 2 +4πα m/b λ] i[2πm/b+α] x y α 2 + 4π 2 m/b 2, + 4πα m/b λ 7 whr D = b 1 b 2 b d is th volum of D and m/b = m 1 /b 1,..., m d /b d. Formula 7 is valid for all λ α 2 + 4π 2 m/b 2 + 4πα m/b, i.. all λ / σl α, at which G 2 x, y; λ has simpl pols. Th trms of th sris abov dcay in m lik C m/b 2 xp 4π 2 m/b 2, for any fixd λ C \ σl α. Now, lt us discuss th cas r < d. For th sris in 6 w first assum that R {λ} <. In this cas w can intrchang summation and intgration and gt λt xr y r 2 /4t G 2 x, y; λ = 4πt d/2 m Z xr yr+mb 2 /4t iα mb dt, r 8 whr, for x = x 1,..., x d, w hav introducd x r = x 1,..., x r,,..., and x r =,...,, x r+1,..., x d. Nxt following th spirit of wald s approach w invok a lmma. 6

7 Lmma 1. If s > and z, γ C, thn n Z s2z+n2 iγn = π s iγz γ2 /4s2 n Z π2 n2 /s2 πγn/s2 +2πizn. Proof. Poisson Summation Formula s,.g. [3] applid to th function fx = Ax2 +Bx, A >, B C. in fact, th formula is also a thta function idntity. whr Th lmma implis immdiatly m Z xr yr+mb 2 /4t iα mb = r 4πt r/2 iα xr y r α 2 t b 1 b r m Z [4π 2 m/b 2 +4πα m/b]t+2πix r y r m/b, r Thus 8 bcoms G 2 x, y; λ = i[2πm/b+α] xr yr m Z b r 1 b r m/b = m 1 /b 1,..., m r /b r,,...,. [ α 2 +4π 2 m/b 2 +4πα m/b λ]t x r y r 2 /4t dt 4πt. d r/2 9 So far w hav assumd R {λ} <. Howvr, th trms of th sris abov dcay in m lik C m/b 2 xp 4π 2 m/b 2, for any fixd λ C. Thus, in th tail of th sris, w can tak λ to b any complx numbr. Thr sms to b a problm though with th first fw trms of th sris, whr w may hav R {λ} α 2 +4π 2 m/b 2 +4πα m/b so that th corrsponding intgrals divrg. Th following lmma shows how to ovrcom this problm. Lmma 2. Lt a, c, b positiv constants, and n a positiv intgr. For R {λ} > w st fλ = a λt c2 /4t 7 dt 4πt. n/2

8 Thn th only singularity of fλ on C is a branch point at λ = a. Proof. Dfin f λ = a λt c2 /4t dt 4πt. n/2 Notic that f λ is ntir in λ and 1 fλ + f λ = 2π a n/2 λn/4 1/2 c 1 n/2 K n/2 1 c a λ, whr K ν is th modifid Bssl function of th 2nd kind, of ordr ν. Thus, th xact typ of th branch point of f λ at λ = a is known. Thus, if r < d, th lmma implis that th only singularitis of G 2 x, y; λ, viwd as a function of λ, ar branch points at λ = α 2 + 4π 2 m/b 2 + 4πα m/b. Ths ar also th singularitis of Gx, y; λ. Notic that, if d r > 2, thn Gx, y; λ stays finit at ths valus of λ. 3 Th Main Rsult W summariz th main rsult stablishd in th prvious sction s 5 and 9: Thorm. Considr th domain D in R d D =, b 1, b r R d r r is som intgr btwn 1 and d, and lt L α = act on D with α- Floqut-Bloch boundary conditions s 3. Thn, for any >, th Grn s function Gx, y; λ of L α has th following rapidly convrgnt sris rprsntation Gx, y; λ = G 1 x, y; λ + G 2 x, y; λ, G 1 x, y; λ = m Z iα mb 1 x y + mb 2 xp λt dt, d/2 r 4πt 4t G 2 x, y; λ = i[2πm/b+α] xr yr m Z b r 1 b r [ α 2 +4π 2 m/b 2 +4πα m/b λ]t x r y r 2 /4t whr α = α 1,..., α r,,...,, mb = m 1 b 1,..., m r b r,,...,, m/b = m 1 /b 1,..., m r /b r,,...,, x r = x 1,..., x r,,...,, and x r =,...,, x r+1,..., x d. 8 dt 4πt, d r/2

9 Rmarks. a If n = 1, thn fλ = a λt c2 /4t It follows diffrntiat with rspct to that whr dt = 1 a λs2 c 2 /4s 2 ds. 4πt π a λ fλ = c 4 a λ rfc c a λ + 2 a λ + c 4 a λ rfc c a λ 2, rfcz = 1 rfz = 1 2/ π z xp s 2 ds = 2/ π xp s 2 ds a wll known ntir function. Thus, if r = d 1, thn w hav a mor xplicit rprsntation of th intgrals in th sris for G 2 x, y; λ, in trms of th spcial function rfcz. b Lmma 2 implis that th rprsntation of G 2 x, y; λ, is valid for all λ α 2 + 4π 2 m/b 2 + 4πα m/b, vn though σl α = [λ,, whr λ = α 2. c If w want to balanc th dcays of th trms of th sris for G 1 x, y; λ and for G 2 x, y; λ, a rasonabl choic is = 1 [ ] b b b 2 1/2 r 4π b b b 2 r d Th cas of Dirichlt or Numann boundary conditions can b tratd similarly, sinc th corrsponding Grn s function can b writtn as a sum altrnating sum in th Dirichlt cas of fr Grn s functions mthod of imags so w again hav a formula vry similar to 4. Lt us tak d = 3. If D =, b 1, b 2, b 3 and α =,,, w hav Gx, y; λ = 1 λ x y+mb 4π x y + mb, whr G 1 x, y; λ = m Z 3 m Z 3 Gx, y; λ = G 1 x, y; λ + G 2 x, y; λ, 1 4πt 3/2 xp λt x y + mb 2 dt, 4t z 9

10 and, by 7, G 2 x, y; λ = 1 b 1 b 2 b 3 4π 2 m/b 2 λ m Z 3 4π 2 m/b 2 λ 2iπm x y. f Again, lt d = 3. Obsrv that by substituting t = s 2 xp λt c2 dt 4t t = 2 c 2 /4s 2 +λ/s 2 ds. 3/2 Thus, by a abov w gt xp 1/ λt c2 dt 4t t 3/2 = π c [ ] c c ic λ rfc 2 + i λ + ic λ rfc 2 i λ. 1 For d = 3, th formula for G 1 x, y; λ bcoms G 1 x, y; λ = m Z iα mb 1 xp λt 3/2 3 4πt x y + mb 2 dt, 4t and thrfor, by 1, th intgrals in th sris trms can b computd xplicitly, in trms of th function rfcz. g If D =, b 1, b 2 R hnc d = 3 and r = 2, and α = α 1, α 2,, w obtain th cas of th papr of Kirk Jordan t al. s [2]. Notic that this is th only cas whr th trms of both G 1 x, y; λ and G 2 x, y; λ can b computd in trms of th function rfcz. h In th cas d > 1 w hav that Gx, y; λ, as x y. All th singular bhavior of Gx, y; λ is capturd in th trm of th sris for G 1 x, y; λ that corrsponds to m =. APPNDIX Th mastr formula in wald s work [1], ikr R = 1 xp R 2 z 2 + K2 dz π 4z 2 th formula is in th sns of analytic continuation with rspct to K; strictly spaking it is valid in th rgion R{K 2 } ; altrnativly w can 1

11 tak K ral in th formula abov and think of th intgral as a contour intgral whr th contour is th ntir x-axis xcpt for a small intrval containing which can b rplacd by a small smicircl avoiding s also [2], can b sn as a variant of 2 for d = 3. An altrnativ, mor dirct way to justify this formula is by applying th corollary of th wllknown lmma, givn blow, to th function fx = x2. Lmma 3. If f L 1 R, thn f x 1 dx = f x dx. x Proof. By using th substitution u = 1/x w obtain f x 1 dx = f u 1 du x u u 2 and f x 1 dx = x f u 1 du u u. 2 Adding up and rplacing th dummy variabl u by x w gt f x 1 dx = f x 1 dx x x x = 1 f x x dx. 2 2 x 2 Now, th substitution u = x 1/x givs f x x dx = f x x dx = f u du x 2 x 2 and th proof is compltd. Corollary. If f L 1 R, a >, and b, thn f ax b dx = 1 f x dx x a thus th first intgral dos not dpnd on b. Proof. Th cas b = is obvious. If b >, th substitution u = ab 1/2 x givs f ax b 1/2 b [ ab dx = f u 1 ] du. x a u 11

12 Thus, by th prvious lmma f ax b dx = x 1/2 b f u ab du a and th proof is finishd by substituting u = ab 1/2 x in th intgral of th right hand sid. 12

13 Acknowldgmnts. Th author wants to thank Profssors Mansoor Haidr and Stphanos Vnakids for finding a srious misprint in Rmark a and Formula 1 of th original manuscript. W also want to thank Profssor Ptr Kuchmnt for his ncouragmnt and suggstions. 13

14 Rfrncs [1]P. P. wald, Di Brchnung Optischr und lctrostatischr Gittrpotntial, Annaln dr Physik, 64, ; Translatd by A. Cornll, Atomics Intrnational Library, [2]K.. Jordan, G. R. Richtr, and P. Shng, An fficint Numrical valuation of th Grn s Function for th Hlmholtz Oprator on Priodic Structurs, Journal of Computational Physics, 63, [3]Y. Katznlson, An Introduction to Harmonic Analysis, Dovr Publications, Inc., Nw York,

The Matrix Exponential

The Matrix Exponential Th Matrix Exponntial (with xrciss) by D. Klain Vrsion 207.0.05 Corrctions and commnts ar wlcom. Th Matrix Exponntial For ach n n complx matrix A, dfin th xponntial of A to b th matrix A A k I + A + k!

More information

The Matrix Exponential

The Matrix Exponential Th Matrix Exponntial (with xrciss) by Dan Klain Vrsion 28928 Corrctions and commnts ar wlcom Th Matrix Exponntial For ach n n complx matrix A, dfin th xponntial of A to b th matrix () A A k I + A + k!

More information

10. The Discrete-Time Fourier Transform (DTFT)

10. The Discrete-Time Fourier Transform (DTFT) Th Discrt-Tim Fourir Transform (DTFT Dfinition of th discrt-tim Fourir transform Th Fourir rprsntation of signals plays an important rol in both continuous and discrt signal procssing In this sction w

More information

Derangements and Applications

Derangements and Applications 2 3 47 6 23 Journal of Intgr Squncs, Vol. 6 (2003), Articl 03..2 Drangmnts and Applications Mhdi Hassani Dpartmnt of Mathmatics Institut for Advancd Studis in Basic Scincs Zanjan, Iran mhassani@iasbs.ac.ir

More information

Recall that by Theorems 10.3 and 10.4 together provide us the estimate o(n2 ), S(q) q 9, q=1

Recall that by Theorems 10.3 and 10.4 together provide us the estimate o(n2 ), S(q) q 9, q=1 Chaptr 11 Th singular sris Rcall that by Thorms 10 and 104 togthr provid us th stimat 9 4 n 2 111 Rn = SnΓ 2 + on2, whr th singular sris Sn was dfind in Chaptr 10 as Sn = q=1 Sq q 9, with Sq = 1 a q gcda,q=1

More information

Limiting value of higher Mahler measure

Limiting value of higher Mahler measure Limiting valu of highr Mahlr masur Arunabha Biswas a, Chris Monico a, a Dpartmnt of Mathmatics & Statistics, Txas Tch Univrsity, Lubbock, TX 7949, USA Abstract W considr th k-highr Mahlr masur m k P )

More information

Cramér-Rao Inequality: Let f(x; θ) be a probability density function with continuous parameter

Cramér-Rao Inequality: Let f(x; θ) be a probability density function with continuous parameter WHEN THE CRAMÉR-RAO INEQUALITY PROVIDES NO INFORMATION STEVEN J. MILLER Abstract. W invstigat a on-paramtr family of probability dnsitis (rlatd to th Parto distribution, which dscribs many natural phnomna)

More information

SECTION where P (cos θ, sin θ) and Q(cos θ, sin θ) are polynomials in cos θ and sin θ, provided Q is never equal to zero.

SECTION where P (cos θ, sin θ) and Q(cos θ, sin θ) are polynomials in cos θ and sin θ, provided Q is never equal to zero. SETION 6. 57 6. Evaluation of Dfinit Intgrals Exampl 6.6 W hav usd dfinit intgrals to valuat contour intgrals. It may com as a surpris to larn that contour intgrals and rsidus can b usd to valuat crtain

More information

cycle that does not cross any edges (including its own), then it has at least

cycle that does not cross any edges (including its own), then it has at least W prov th following thorm: Thorm If a K n is drawn in th plan in such a way that it has a hamiltonian cycl that dos not cross any dgs (including its own, thn it has at last n ( 4 48 π + O(n crossings Th

More information

Quasi-Classical States of the Simple Harmonic Oscillator

Quasi-Classical States of the Simple Harmonic Oscillator Quasi-Classical Stats of th Simpl Harmonic Oscillator (Draft Vrsion) Introduction: Why Look for Eignstats of th Annihilation Oprator? Excpt for th ground stat, th corrspondnc btwn th quantum nrgy ignstats

More information

LINEAR DELAY DIFFERENTIAL EQUATION WITH A POSITIVE AND A NEGATIVE TERM

LINEAR DELAY DIFFERENTIAL EQUATION WITH A POSITIVE AND A NEGATIVE TERM Elctronic Journal of Diffrntial Equations, Vol. 2003(2003), No. 92, pp. 1 6. ISSN: 1072-6691. URL: http://jd.math.swt.du or http://jd.math.unt.du ftp jd.math.swt.du (login: ftp) LINEAR DELAY DIFFERENTIAL

More information

Exercise 1. Sketch the graph of the following function. (x 2

Exercise 1. Sketch the graph of the following function. (x 2 Writtn tst: Fbruary 9th, 06 Exrcis. Sktch th graph of th following function fx = x + x, spcifying: domain, possibl asymptots, monotonicity, continuity, local and global maxima or minima, and non-drivability

More information

2.3 Matrix Formulation

2.3 Matrix Formulation 23 Matrix Formulation 43 A mor complicatd xampl ariss for a nonlinar systm of diffrntial quations Considr th following xampl Exampl 23 x y + x( x 2 y 2 y x + y( x 2 y 2 (233 Transforming to polar coordinats,

More information

NEW APPLICATIONS OF THE ABEL-LIOUVILLE FORMULA

NEW APPLICATIONS OF THE ABEL-LIOUVILLE FORMULA NE APPLICATIONS OF THE ABEL-LIOUVILLE FORMULA Mirca I CÎRNU Ph Dp o Mathmatics III Faculty o Applid Scincs Univrsity Polithnica o Bucharst Cirnumirca @yahoocom Abstract In a rcnt papr [] 5 th indinit intgrals

More information

Chapter 10. The singular integral Introducing S(n) and J(n)

Chapter 10. The singular integral Introducing S(n) and J(n) Chaptr Th singular intgral Our aim in this chaptr is to rplac th functions S (n) and J (n) by mor convnint xprssions; ths will b calld th singular sris S(n) and th singular intgral J(n). This will b don

More information

Homotopy perturbation technique

Homotopy perturbation technique Comput. Mthods Appl. Mch. Engrg. 178 (1999) 257±262 www.lsvir.com/locat/cma Homotopy prturbation tchniqu Ji-Huan H 1 Shanghai Univrsity, Shanghai Institut of Applid Mathmatics and Mchanics, Shanghai 272,

More information

Lecture 37 (Schrödinger Equation) Physics Spring 2018 Douglas Fields

Lecture 37 (Schrödinger Equation) Physics Spring 2018 Douglas Fields Lctur 37 (Schrödingr Equation) Physics 6-01 Spring 018 Douglas Filds Rducd Mass OK, so th Bohr modl of th atom givs nrgy lvls: E n 1 k m n 4 But, this has on problm it was dvlopd assuming th acclration

More information

Calculus II (MAC )

Calculus II (MAC ) Calculus II (MAC232-2) Tst 2 (25/6/25) Nam (PRINT): Plas show your work. An answr with no work rcivs no crdit. You may us th back of a pag if you nd mor spac for a problm. You may not us any calculators.

More information

Einstein Equations for Tetrad Fields

Einstein Equations for Tetrad Fields Apiron, Vol 13, No, Octobr 006 6 Einstin Equations for Ttrad Filds Ali Rıza ŞAHİN, R T L Istanbul (Turky) Evry mtric tnsor can b xprssd by th innr product of ttrad filds W prov that Einstin quations for

More information

Solution: APPM 1360 Final (150 pts) Spring (60 pts total) The following parts are not related, justify your answers:

Solution: APPM 1360 Final (150 pts) Spring (60 pts total) The following parts are not related, justify your answers: APPM 6 Final 5 pts) Spring 4. 6 pts total) Th following parts ar not rlatd, justify your answrs: a) Considr th curv rprsntd by th paramtric quations, t and y t + for t. i) 6 pts) Writ down th corrsponding

More information

EEO 401 Digital Signal Processing Prof. Mark Fowler

EEO 401 Digital Signal Processing Prof. Mark Fowler EEO 401 Digital Signal Procssing Prof. Mark Fowlr Dtails of th ot St #19 Rading Assignmnt: Sct. 7.1.2, 7.1.3, & 7.2 of Proakis & Manolakis Dfinition of th So Givn signal data points x[n] for n = 0,, -1

More information

DISTRIBUTION OF DIFFERENCE BETWEEN INVERSES OF CONSECUTIVE INTEGERS MODULO P

DISTRIBUTION OF DIFFERENCE BETWEEN INVERSES OF CONSECUTIVE INTEGERS MODULO P DISTRIBUTION OF DIFFERENCE BETWEEN INVERSES OF CONSECUTIVE INTEGERS MODULO P Tsz Ho Chan Dartmnt of Mathmatics, Cas Wstrn Rsrv Univrsity, Clvland, OH 4406, USA txc50@cwru.du Rcivd: /9/03, Rvisd: /9/04,

More information

Deift/Zhou Steepest descent, Part I

Deift/Zhou Steepest descent, Part I Lctur 9 Dift/Zhou Stpst dscnt, Part I W now focus on th cas of orthogonal polynomials for th wight w(x) = NV (x), V (x) = t x2 2 + x4 4. Sinc th wight dpnds on th paramtr N N w will writ π n,n, a n,n,

More information

Introduction to Condensed Matter Physics

Introduction to Condensed Matter Physics Introduction to Condnsd Mattr Physics pcific hat M.P. Vaughan Ovrviw Ovrviw of spcific hat Hat capacity Dulong-Ptit Law Einstin modl Dby modl h Hat Capacity Hat capacity h hat capacity of a systm hld at

More information

Abstract Interpretation: concrete and abstract semantics

Abstract Interpretation: concrete and abstract semantics Abstract Intrprtation: concrt and abstract smantics Concrt smantics W considr a vry tiny languag that manags arithmtic oprations on intgrs valus. Th (concrt) smantics of th languags cab b dfind by th funzcion

More information

Construction of asymmetric orthogonal arrays of strength three via a replacement method

Construction of asymmetric orthogonal arrays of strength three via a replacement method isid/ms/26/2 Fbruary, 26 http://www.isid.ac.in/ statmath/indx.php?modul=prprint Construction of asymmtric orthogonal arrays of strngth thr via a rplacmnt mthod Tian-fang Zhang, Qiaoling Dng and Alok Dy

More information

u 3 = u 3 (x 1, x 2, x 3 )

u 3 = u 3 (x 1, x 2, x 3 ) Lctur 23: Curvilinar Coordinats (RHB 8.0 It is oftn convnint to work with variabls othr than th Cartsian coordinats x i ( = x, y, z. For xampl in Lctur 5 w mt sphrical polar and cylindrical polar coordinats.

More information

2 JOAQUIN BUSTO AND SERGEI K. SUSLOV l (.8) l cos nx l sin mx l dx m 6 n: In th prsnt papr w discuss a -vrsion of th Fourir sris (.) with th aid of ba

2 JOAQUIN BUSTO AND SERGEI K. SUSLOV l (.8) l cos nx l sin mx l dx m 6 n: In th prsnt papr w discuss a -vrsion of th Fourir sris (.) with th aid of ba BASIC ANALOG OF FOURIER SERIES ON A -QUADRATIC GRID JOAQUIN BUSTO AND SERGEI K. SUSLOV Abstract. W prov orthogonality rlations for som analogs of trigonomtric functions on a -uadratic grid introduc th

More information

Hydrogen Atom and One Electron Ions

Hydrogen Atom and One Electron Ions Hydrogn Atom and On Elctron Ions Th Schrödingr quation for this two-body problm starts out th sam as th gnral two-body Schrödingr quation. First w sparat out th motion of th cntr of mass. Th intrnal potntial

More information

A Prey-Predator Model with an Alternative Food for the Predator, Harvesting of Both the Species and with A Gestation Period for Interaction

A Prey-Predator Model with an Alternative Food for the Predator, Harvesting of Both the Species and with A Gestation Period for Interaction Int. J. Opn Problms Compt. Math., Vol., o., Jun 008 A Pry-Prdator Modl with an Altrnativ Food for th Prdator, Harvsting of Both th Spcis and with A Gstation Priod for Intraction K. L. arayan and. CH. P.

More information

State-space behaviours 2 using eigenvalues

State-space behaviours 2 using eigenvalues 1 Stat-spac bhaviours 2 using ignvalus J A Rossitr Slids by Anthony Rossitr Introduction Th first vido dmonstratd that on can solv 2 x x( ( x(0) Th stat transition matrix Φ( can b computd using Laplac

More information

Complex Powers and Logs (5A) Young Won Lim 10/17/13

Complex Powers and Logs (5A) Young Won Lim 10/17/13 Complx Powrs and Logs (5A) Copyright (c) 202, 203 Young W. Lim. Prmission is grantd to copy, distribut and/or modify this documnt undr th trms of th GNU Fr Documntation Licns, Vrsion.2 or any latr vrsion

More information

Bifurcation Theory. , a stationary point, depends on the value of α. At certain values

Bifurcation Theory. , a stationary point, depends on the value of α. At certain values Dnamic Macroconomic Thor Prof. Thomas Lux Bifurcation Thor Bifurcation: qualitativ chang in th natur of th solution occurs if a paramtr passs through a critical point bifurcation or branch valu. Local

More information

COMPUTER GENERATED HOLOGRAMS Optical Sciences 627 W.J. Dallas (Monday, April 04, 2005, 8:35 AM) PART I: CHAPTER TWO COMB MATH.

COMPUTER GENERATED HOLOGRAMS Optical Sciences 627 W.J. Dallas (Monday, April 04, 2005, 8:35 AM) PART I: CHAPTER TWO COMB MATH. C:\Dallas\0_Courss\03A_OpSci_67\0 Cgh_Book\0_athmaticalPrliminaris\0_0 Combath.doc of 8 COPUTER GENERATED HOLOGRAS Optical Scincs 67 W.J. Dallas (onday, April 04, 005, 8:35 A) PART I: CHAPTER TWO COB ATH

More information

Properties of Phase Space Wavefunctions and Eigenvalue Equation of Momentum Dispersion Operator

Properties of Phase Space Wavefunctions and Eigenvalue Equation of Momentum Dispersion Operator Proprtis of Phas Spac Wavfunctions and Eignvalu Equation of Momntum Disprsion Oprator Ravo Tokiniaina Ranaivoson 1, Raolina Andriambololona 2, Hanitriarivo Rakotoson 3 raolinasp@yahoo.fr 1 ;jacqulinraolina@hotmail.com

More information

BINOMIAL COEFFICIENTS INVOLVING INFINITE POWERS OF PRIMES. 1. Statement of results

BINOMIAL COEFFICIENTS INVOLVING INFINITE POWERS OF PRIMES. 1. Statement of results BINOMIAL COEFFICIENTS INVOLVING INFINITE POWERS OF PRIMES DONALD M. DAVIS Abstract. If p is a prim and n a positiv intgr, lt ν p (n dnot th xponnt of p in n, and u p (n n/p νp(n th unit part of n. If α

More information

EXISTENCE OF POSITIVE ENTIRE RADIAL SOLUTIONS TO A (k 1, k 2 )-HESSIAN SYSTEMS WITH CONVECTION TERMS

EXISTENCE OF POSITIVE ENTIRE RADIAL SOLUTIONS TO A (k 1, k 2 )-HESSIAN SYSTEMS WITH CONVECTION TERMS Elctronic Journal of Diffrntial Equations, Vol. 26 (26, No. 272, pp. 8. ISSN: 72-669. URL: http://jd.math.txstat.du or http://jd.math.unt.du EXISTENCE OF POSITIVE ENTIRE RADIAL SOLUTIONS TO A (k, k 2 -HESSIAN

More information

10. Limits involving infinity

10. Limits involving infinity . Limits involving infinity It is known from th it ruls for fundamntal arithmtic oprations (+,-,, ) that if two functions hav finit its at a (finit or infinit) point, that is, thy ar convrgnt, th it of

More information

Finite element discretization of Laplace and Poisson equations

Finite element discretization of Laplace and Poisson equations Finit lmnt discrtization of Laplac and Poisson quations Yashwanth Tummala Tutor: Prof S.Mittal 1 Outlin Finit Elmnt Mthod for 1D Introduction to Poisson s and Laplac s Equations Finit Elmnt Mthod for 2D-Discrtization

More information

Linear-Phase FIR Transfer Functions. Functions. Functions. Functions. Functions. Functions. Let

Linear-Phase FIR Transfer Functions. Functions. Functions. Functions. Functions. Functions. Let It is impossibl to dsign an IIR transfr function with an xact linar-phas It is always possibl to dsign an FIR transfr function with an xact linar-phas rspons W now dvlop th forms of th linarphas FIR transfr

More information

COUNTING TAMELY RAMIFIED EXTENSIONS OF LOCAL FIELDS UP TO ISOMORPHISM

COUNTING TAMELY RAMIFIED EXTENSIONS OF LOCAL FIELDS UP TO ISOMORPHISM COUNTING TAMELY RAMIFIED EXTENSIONS OF LOCAL FIELDS UP TO ISOMORPHISM Jim Brown Dpartmnt of Mathmatical Scincs, Clmson Univrsity, Clmson, SC 9634, USA jimlb@g.clmson.du Robrt Cass Dpartmnt of Mathmatics,

More information

Some remarks on Kurepa s left factorial

Some remarks on Kurepa s left factorial Som rmarks on Kurpa s lft factorial arxiv:math/0410477v1 [math.nt] 21 Oct 2004 Brnd C. Kllnr Abstract W stablish a connction btwn th subfactorial function S(n) and th lft factorial function of Kurpa K(n).

More information

INCOMPLETE KLOOSTERMAN SUMS AND MULTIPLICATIVE INVERSES IN SHORT INTERVALS. xy 1 (mod p), (x, y) I (j)

INCOMPLETE KLOOSTERMAN SUMS AND MULTIPLICATIVE INVERSES IN SHORT INTERVALS. xy 1 (mod p), (x, y) I (j) INCOMPLETE KLOOSTERMAN SUMS AND MULTIPLICATIVE INVERSES IN SHORT INTERVALS T D BROWNING AND A HAYNES Abstract W invstigat th solubility of th congrunc xy (mod ), whr is a rim and x, y ar rstrictd to li

More information

The graph of y = x (or y = ) consists of two branches, As x 0, y + ; as x 0, y +. x = 0 is the

The graph of y = x (or y = ) consists of two branches, As x 0, y + ; as x 0, y +. x = 0 is the Copyright itutcom 005 Fr download & print from wwwitutcom Do not rproduc by othr mans Functions and graphs Powr functions Th graph of n y, for n Q (st of rational numbrs) y is a straight lin through th

More information

6.1 Integration by Parts and Present Value. Copyright Cengage Learning. All rights reserved.

6.1 Integration by Parts and Present Value. Copyright Cengage Learning. All rights reserved. 6.1 Intgration by Parts and Prsnt Valu Copyright Cngag Larning. All rights rsrvd. Warm-Up: Find f () 1. F() = ln(+1). F() = 3 3. F() =. F() = ln ( 1) 5. F() = 6. F() = - Objctivs, Day #1 Studnts will b

More information

A Propagating Wave Packet Group Velocity Dispersion

A Propagating Wave Packet Group Velocity Dispersion Lctur 8 Phys 375 A Propagating Wav Packt Group Vlocity Disprsion Ovrviw and Motivation: In th last lctur w lookd at a localizd solution t) to th 1D fr-particl Schrödingr quation (SE) that corrsponds to

More information

Hardy-Littlewood Conjecture and Exceptional real Zero. JinHua Fei. ChangLing Company of Electronic Technology Baoji Shannxi P.R.

Hardy-Littlewood Conjecture and Exceptional real Zero. JinHua Fei. ChangLing Company of Electronic Technology Baoji Shannxi P.R. Hardy-Littlwood Conjctur and Excptional ral Zro JinHua Fi ChangLing Company of Elctronic Tchnology Baoji Shannxi P.R.China E-mail: fijinhuayoujian@msn.com Abstract. In this papr, w assum that Hardy-Littlwood

More information

Introduction to Arithmetic Geometry Fall 2013 Lecture #20 11/14/2013

Introduction to Arithmetic Geometry Fall 2013 Lecture #20 11/14/2013 18.782 Introduction to Arithmtic Gomtry Fall 2013 Lctur #20 11/14/2013 20.1 Dgr thorm for morphisms of curvs Lt us rstat th thorm givn at th nd of th last lctur, which w will now prov. Thorm 20.1. Lt φ:

More information

First order differential equation Linear equation; Method of integrating factors

First order differential equation Linear equation; Method of integrating factors First orr iffrntial quation Linar quation; Mtho of intgrating factors Exampl 1: Rwrit th lft han si as th rivativ of th prouct of y an som function by prouct rul irctly. Solving th first orr iffrntial

More information

ON A CONJECTURE OF RYSElt AND MINC

ON A CONJECTURE OF RYSElt AND MINC MA THEMATICS ON A CONJECTURE OF RYSElt AND MINC BY ALBERT NIJE~HUIS*) AND HERBERT S. WILF *) (Communicatd at th mting of January 31, 1970) 1. Introduction Lt A b an n x n matrix of zros and ons, and suppos

More information

Engineering 323 Beautiful HW #13 Page 1 of 6 Brown Problem 5-12

Engineering 323 Beautiful HW #13 Page 1 of 6 Brown Problem 5-12 Enginring Bautiful HW #1 Pag 1 of 6 5.1 Two componnts of a minicomputr hav th following joint pdf for thir usful liftims X and Y: = x(1+ x and y othrwis a. What is th probability that th liftim X of th

More information

Higher order derivatives

Higher order derivatives Robrto s Nots on Diffrntial Calculus Chaptr 4: Basic diffrntiation ruls Sction 7 Highr ordr drivativs What you nd to know alrady: Basic diffrntiation ruls. What you can larn hr: How to rpat th procss of

More information

A Simple Formula for the Hilbert Metric with Respect to a Sub-Gaussian Cone

A Simple Formula for the Hilbert Metric with Respect to a Sub-Gaussian Cone mathmatics Articl A Simpl Formula for th Hilbrt Mtric with Rspct to a Sub-Gaussian Con Stéphan Chrétin 1, * and Juan-Pablo Ortga 2 1 National Physical Laboratory, Hampton Road, Tddinton TW11 0LW, UK 2

More information

As the matrix of operator B is Hermitian so its eigenvalues must be real. It only remains to diagonalize the minor M 11 of matrix B.

As the matrix of operator B is Hermitian so its eigenvalues must be real. It only remains to diagonalize the minor M 11 of matrix B. 7636S ADVANCED QUANTUM MECHANICS Solutions Spring. Considr a thr dimnsional kt spac. If a crtain st of orthonormal kts, say, and 3 ar usd as th bas kts, thn th oprators A and B ar rprsntd by a b A a and

More information

(Upside-Down o Direct Rotation) β - Numbers

(Upside-Down o Direct Rotation) β - Numbers Amrican Journal of Mathmatics and Statistics 014, 4(): 58-64 DOI: 10593/jajms0140400 (Upsid-Down o Dirct Rotation) β - Numbrs Ammar Sddiq Mahmood 1, Shukriyah Sabir Ali,* 1 Dpartmnt of Mathmatics, Collg

More information

PROOF OF FIRST STANDARD FORM OF NONELEMENTARY FUNCTIONS

PROOF OF FIRST STANDARD FORM OF NONELEMENTARY FUNCTIONS Intrnational Journal Of Advanc Rsarch In Scinc And Enginring http://www.ijars.com IJARSE, Vol. No., Issu No., Fbruary, 013 ISSN-319-8354(E) PROOF OF FIRST STANDARD FORM OF NONELEMENTARY FUNCTIONS 1 Dharmndra

More information

Rational Approximation for the one-dimensional Bratu Equation

Rational Approximation for the one-dimensional Bratu Equation Intrnational Journal of Enginring & Tchnology IJET-IJES Vol:3 o:05 5 Rational Approximation for th on-dimnsional Bratu Equation Moustafa Aly Soliman Chmical Enginring Dpartmnt, Th British Univrsity in

More information

BINOMIAL COEFFICIENTS INVOLVING INFINITE POWERS OF PRIMES

BINOMIAL COEFFICIENTS INVOLVING INFINITE POWERS OF PRIMES BINOMIAL COEFFICIENTS INVOLVING INFINITE POWERS OF PRIMES DONALD M. DAVIS Abstract. If p is a prim (implicit in notation and n a positiv intgr, lt ν(n dnot th xponnt of p in n, and U(n n/p ν(n, th unit

More information

On the irreducibility of some polynomials in two variables

On the irreducibility of some polynomials in two variables ACTA ARITHMETICA LXXXII.3 (1997) On th irrducibility of som polynomials in two variabls by B. Brindza and Á. Pintér (Dbrcn) To th mmory of Paul Erdős Lt f(x) and g(y ) b polynomials with intgral cofficints

More information

Fourier Transforms and the Wave Equation. Key Mathematics: More Fourier transform theory, especially as applied to solving the wave equation.

Fourier Transforms and the Wave Equation. Key Mathematics: More Fourier transform theory, especially as applied to solving the wave equation. Lur 7 Fourir Transforms and th Wav Euation Ovrviw and Motivation: W first discuss a fw faturs of th Fourir transform (FT), and thn w solv th initial-valu problm for th wav uation using th Fourir transform

More information

Integration by Parts

Integration by Parts Intgration by Parts Intgration by parts is a tchniqu primarily for valuating intgrals whos intgrand is th product of two functions whr substitution dosn t work. For ampl, sin d or d. Th rul is: u ( ) v'(

More information

ON A SECOND ORDER RATIONAL DIFFERENCE EQUATION

ON A SECOND ORDER RATIONAL DIFFERENCE EQUATION Hacttp Journal of Mathmatics and Statistics Volum 41(6) (2012), 867 874 ON A SECOND ORDER RATIONAL DIFFERENCE EQUATION Nourssadat Touafk Rcivd 06:07:2011 : Accptd 26:12:2011 Abstract In this papr, w invstigat

More information

Difference -Analytical Method of The One-Dimensional Convection-Diffusion Equation

Difference -Analytical Method of The One-Dimensional Convection-Diffusion Equation Diffrnc -Analytical Mthod of Th On-Dimnsional Convction-Diffusion Equation Dalabav Umurdin Dpartmnt mathmatic modlling, Univrsity of orld Economy and Diplomacy, Uzbistan Abstract. An analytical diffrncing

More information

Addition of angular momentum

Addition of angular momentum Addition of angular momntum April, 0 Oftn w nd to combin diffrnt sourcs of angular momntum to charactriz th total angular momntum of a systm, or to divid th total angular momntum into parts to valuat th

More information

1 N N(θ;d 1...d l ;N) 1 q l = o(1)

1 N N(θ;d 1...d l ;N) 1 q l = o(1) NORMALITY OF NUMBERS GENERATED BY THE VALUES OF ENTIRE FUNCTIONS MANFRED G. MADRITSCH, JÖRG M. THUSWALDNER, AND ROBERT F. TICHY Abstract. W show that th numbr gnratd by th q-ary intgr part of an ntir function

More information

Another view for a posteriori error estimates for variational inequalities of the second kind

Another view for a posteriori error estimates for variational inequalities of the second kind Accptd by Applid Numrical Mathmatics in July 2013 Anothr viw for a postriori rror stimats for variational inqualitis of th scond kind Fi Wang 1 and Wimin Han 2 Abstract. In this papr, w giv anothr viw

More information

Inference Methods for Stochastic Volatility Models

Inference Methods for Stochastic Volatility Models Intrnational Mathmatical Forum, Vol 8, 03, no 8, 369-375 Infrnc Mthods for Stochastic Volatility Modls Maddalna Cavicchioli Cá Foscari Univrsity of Vnic Advancd School of Economics Cannargio 3, Vnic, Italy

More information

Section 11.6: Directional Derivatives and the Gradient Vector

Section 11.6: Directional Derivatives and the Gradient Vector Sction.6: Dirctional Drivativs and th Gradint Vctor Practic HW rom Stwart Ttbook not to hand in p. 778 # -4 p. 799 # 4-5 7 9 9 35 37 odd Th Dirctional Drivativ Rcall that a b Slop o th tangnt lin to th

More information

Data Assimilation 1. Alan O Neill National Centre for Earth Observation UK

Data Assimilation 1. Alan O Neill National Centre for Earth Observation UK Data Assimilation 1 Alan O Nill National Cntr for Earth Obsrvation UK Plan Motivation & basic idas Univariat (scalar) data assimilation Multivariat (vctor) data assimilation 3d-Variational Mthod (& optimal

More information

22/ Breakdown of the Born-Oppenheimer approximation. Selection rules for rotational-vibrational transitions. P, R branches.

22/ Breakdown of the Born-Oppenheimer approximation. Selection rules for rotational-vibrational transitions. P, R branches. Subjct Chmistry Papr No and Titl Modul No and Titl Modul Tag 8/ Physical Spctroscopy / Brakdown of th Born-Oppnhimr approximation. Slction ruls for rotational-vibrational transitions. P, R branchs. CHE_P8_M

More information

The van der Waals interaction 1 D. E. Soper 2 University of Oregon 20 April 2012

The van der Waals interaction 1 D. E. Soper 2 University of Oregon 20 April 2012 Th van dr Waals intraction D. E. Sopr 2 Univrsity of Orgon 20 pril 202 Th van dr Waals intraction is discussd in Chaptr 5 of J. J. Sakurai, Modrn Quantum Mchanics. Hr I tak a look at it in a littl mor

More information

u x v x dx u x v x v x u x dx d u x v x u x v x dx u x v x dx Integration by Parts Formula

u x v x dx u x v x v x u x dx d u x v x u x v x dx u x v x dx Integration by Parts Formula 7. Intgration by Parts Each drivativ formula givs ris to a corrsponding intgral formula, as w v sn many tims. Th drivativ product rul yilds a vry usful intgration tchniqu calld intgration by parts. Starting

More information

BSc Engineering Sciences A. Y. 2017/18 Written exam of the course Mathematical Analysis 2 August 30, x n, ) n 2

BSc Engineering Sciences A. Y. 2017/18 Written exam of the course Mathematical Analysis 2 August 30, x n, ) n 2 BSc Enginring Scincs A. Y. 27/8 Writtn xam of th cours Mathmatical Analysis 2 August, 28. Givn th powr sris + n + n 2 x n, n n dtrmin its radius of convrgnc r, and study th convrgnc for x ±r. By th root

More information

1 General boundary conditions in diffusion

1 General boundary conditions in diffusion Gnral boundary conditions in diffusion Πρόβλημα 4.8 : Δίνεται μονοδιάτατη πλάκα πάχους, που το ένα άκρο της κρατιέται ε θερμοκραία T t και το άλλο ε θερμοκραία T 2 t. Αν η αρχική θερμοκραία της πλάκας

More information

First derivative analysis

First derivative analysis Robrto s Nots on Dirntial Calculus Chaptr 8: Graphical analysis Sction First drivativ analysis What you nd to know alrady: How to us drivativs to idntiy th critical valus o a unction and its trm points

More information

Middle East Technical University Department of Mechanical Engineering ME 413 Introduction to Finite Element Analysis

Middle East Technical University Department of Mechanical Engineering ME 413 Introduction to Finite Element Analysis Middl East Tchnical Univrsity Dpartmnt of Mchanical Enginring ME 43 Introduction to Finit Elmnt Analysis Chaptr 3 Computr Implmntation of D FEM Ths nots ar prpard by Dr. Cünyt Srt http://www.m.mtu.du.tr/popl/cunyt

More information

Title: Vibrational structure of electronic transition

Title: Vibrational structure of electronic transition Titl: Vibrational structur of lctronic transition Pag- Th band spctrum sn in th Ultra-Violt (UV) and visibl (VIS) rgions of th lctromagntic spctrum can not intrprtd as vibrational and rotational spctrum

More information

(1) Then we could wave our hands over this and it would become:

(1) Then we could wave our hands over this and it would become: MAT* K285 Spring 28 Anthony Bnoit 4/17/28 Wk 12: Laplac Tranform Rading: Kohlr & Johnon, Chaptr 5 to p. 35 HW: 5.1: 3, 7, 1*, 19 5.2: 1, 5*, 13*, 19, 45* 5.3: 1, 11*, 19 * Pla writ-up th problm natly and

More information

1.2 Faraday s law A changing magnetic field induces an electric field. Their relation is given by:

1.2 Faraday s law A changing magnetic field induces an electric field. Their relation is given by: Elctromagntic Induction. Lorntz forc on moving charg Point charg moving at vlocity v, F qv B () For a sction of lctric currnt I in a thin wir dl is Idl, th forc is df Idl B () Elctromotiv forc f s any

More information

ME469A Numerical Methods for Fluid Mechanics

ME469A Numerical Methods for Fluid Mechanics ME469A Numrical Mthods for Fluid Mchanics Handout #5 Gianluca Iaccarino Finit Volum Mthods Last tim w introducd th FV mthod as a discrtization tchniqu applid to th intgral form of th govrning quations

More information

ANALYSIS IN THE FREQUENCY DOMAIN

ANALYSIS IN THE FREQUENCY DOMAIN ANALYSIS IN THE FREQUENCY DOMAIN SPECTRAL DENSITY Dfinition Th spctral dnsit of a S.S.P. t also calld th spctrum of t is dfind as: + { γ }. jτ γ τ F τ τ In othr words, of th covarianc function. is dfind

More information

Elements of Statistical Thermodynamics

Elements of Statistical Thermodynamics 24 Elmnts of Statistical Thrmodynamics Statistical thrmodynamics is a branch of knowldg that has its own postulats and tchniqus. W do not attmpt to giv hr vn an introduction to th fild. In this chaptr,

More information

5.80 Small-Molecule Spectroscopy and Dynamics

5.80 Small-Molecule Spectroscopy and Dynamics MIT OpnCoursWar http://ocw.mit.du 5.80 Small-Molcul Spctroscopy and Dynamics Fall 008 For information about citing ths matrials or our Trms of Us, visit: http://ocw.mit.du/trms. Lctur # 3 Supplmnt Contnts

More information

u r du = ur+1 r + 1 du = ln u + C u sin u du = cos u + C cos u du = sin u + C sec u tan u du = sec u + C e u du = e u + C

u r du = ur+1 r + 1 du = ln u + C u sin u du = cos u + C cos u du = sin u + C sec u tan u du = sec u + C e u du = e u + C Tchniqus of Intgration c Donald Kridr and Dwight Lahr In this sction w ar going to introduc th first approachs to valuating an indfinit intgral whos intgrand dos not hav an immdiat antidrivativ. W bgin

More information

Brief Introduction to Statistical Mechanics

Brief Introduction to Statistical Mechanics Brif Introduction to Statistical Mchanics. Purpos: Ths nots ar intndd to provid a vry quick introduction to Statistical Mchanics. Th fild is of cours far mor vast than could b containd in ths fw pags.

More information

ELECTRON-MUON SCATTERING

ELECTRON-MUON SCATTERING ELECTRON-MUON SCATTERING ABSTRACT Th lctron charg is considrd to b distributd or xtndd in spac. Th diffrntial of th lctron charg is st qual to a function of lctron charg coordinats multiplid by a four-dimnsional

More information

Addition of angular momentum

Addition of angular momentum Addition of angular momntum April, 07 Oftn w nd to combin diffrnt sourcs of angular momntum to charactriz th total angular momntum of a systm, or to divid th total angular momntum into parts to valuat

More information

An Application of Hardy-Littlewood Conjecture. JinHua Fei. ChangLing Company of Electronic Technology Baoji Shannxi P.R.China

An Application of Hardy-Littlewood Conjecture. JinHua Fei. ChangLing Company of Electronic Technology Baoji Shannxi P.R.China An Application of Hardy-Littlwood Conjctur JinHua Fi ChangLing Company of Elctronic Tchnology Baoji Shannxi P.R.China E-mail: fijinhuayoujian@msn.com Abstract. In this papr, w assum that wakr Hardy-Littlwood

More information

MATH 319, WEEK 15: The Fundamental Matrix, Non-Homogeneous Systems of Differential Equations

MATH 319, WEEK 15: The Fundamental Matrix, Non-Homogeneous Systems of Differential Equations MATH 39, WEEK 5: Th Fundamntal Matrix, Non-Homognous Systms of Diffrntial Equations Fundamntal Matrics Considr th problm of dtrmining th particular solution for an nsmbl of initial conditions For instanc,

More information

Basic Polyhedral theory

Basic Polyhedral theory Basic Polyhdral thory Th st P = { A b} is calld a polyhdron. Lmma 1. Eithr th systm A = b, b 0, 0 has a solution or thr is a vctorπ such that π A 0, πb < 0 Thr cass, if solution in top row dos not ist

More information

Spectral Synthesis in the Heisenberg Group

Spectral Synthesis in the Heisenberg Group Intrnational Journal of Mathmatical Analysis Vol. 13, 19, no. 1, 1-5 HIKARI Ltd, www.m-hikari.com https://doi.org/1.1988/ijma.19.81179 Spctral Synthsis in th Hisnbrg Group Yitzhak Wit Dpartmnt of Mathmatics,

More information

COHORT MBA. Exponential function. MATH review (part2) by Lucian Mitroiu. The LOG and EXP functions. Properties: e e. lim.

COHORT MBA. Exponential function. MATH review (part2) by Lucian Mitroiu. The LOG and EXP functions. Properties: e e. lim. MTH rviw part b Lucian Mitroiu Th LOG and EXP functions Th ponntial function p : R, dfind as Proprtis: lim > lim p Eponntial function Y 8 6 - -8-6 - - X Th natural logarithm function ln in US- log: function

More information

Mathematics 1110H Calculus I: Limits, derivatives, and Integrals Trent University, Summer 2018 Solutions to the Actual Final Examination

Mathematics 1110H Calculus I: Limits, derivatives, and Integrals Trent University, Summer 2018 Solutions to the Actual Final Examination Mathmatics H Calculus I: Limits, rivativs, an Intgrals Trnt Univrsity, Summr 8 Solutions to th Actual Final Eamination Tim-spac: 9:-: in FPHL 7. Brought to you by Stfan B lan k. Instructions: Do parts

More information

CPSC 665 : An Algorithmist s Toolkit Lecture 4 : 21 Jan Linear Programming

CPSC 665 : An Algorithmist s Toolkit Lecture 4 : 21 Jan Linear Programming CPSC 665 : An Algorithmist s Toolkit Lctur 4 : 21 Jan 2015 Lcturr: Sushant Sachdva Linar Programming Scrib: Rasmus Kyng 1. Introduction An optimization problm rquirs us to find th minimum or maximum) of

More information

High Energy Physics. Lecture 5 The Passage of Particles through Matter

High Energy Physics. Lecture 5 The Passage of Particles through Matter High Enrgy Physics Lctur 5 Th Passag of Particls through Mattr 1 Introduction In prvious lcturs w hav sn xampls of tracks lft by chargd particls in passing through mattr. Such tracks provid som of th most

More information

VSMN30 FINITA ELEMENTMETODEN - DUGGA

VSMN30 FINITA ELEMENTMETODEN - DUGGA VSMN3 FINITA ELEMENTMETODEN - DUGGA 1-11-6 kl. 8.-1. Maximum points: 4, Rquird points to pass: Assistanc: CALFEM manual and calculator Problm 1 ( 8p ) 8 7 6 5 y 4 1. m x 1 3 1. m Th isotropic two-dimnsional

More information

General Notes About 2007 AP Physics Scoring Guidelines

General Notes About 2007 AP Physics Scoring Guidelines AP PHYSICS C: ELECTRICITY AND MAGNETISM 2007 SCORING GUIDELINES Gnral Nots About 2007 AP Physics Scoring Guidlins 1. Th solutions contain th most common mthod of solving th fr-rspons qustions and th allocation

More information

Equidistribution and Weyl s criterion

Equidistribution and Weyl s criterion Euidistribution and Wyl s critrion by Brad Hannigan-Daly W introduc th ida of a sunc of numbrs bing uidistributd (mod ), and w stat and prov a thorm of Hrmann Wyl which charactrizs such suncs. W also discuss

More information

Legendre Wavelets for Systems of Fredholm Integral Equations of the Second Kind

Legendre Wavelets for Systems of Fredholm Integral Equations of the Second Kind World Applid Scincs Journal 9 (9): 8-, ISSN 88-495 IDOSI Publications, Lgndr Wavlts for Systs of Frdhol Intgral Equations of th Scond Kind a,b tb (t)= a, a,b a R, a. J. Biazar and H. Ebrahii Dpartnt of

More information

2008 AP Calculus BC Multiple Choice Exam

2008 AP Calculus BC Multiple Choice Exam 008 AP Multipl Choic Eam Nam 008 AP Calculus BC Multipl Choic Eam Sction No Calculator Activ AP Calculus 008 BC Multipl Choic. At tim t 0, a particl moving in th -plan is th acclration vctor of th particl

More information