Solution Manual for Applied Partial Differential Equations with Fourier Series and Boundary Value Problems, 5th Edition

Master your textbook with Solution Manual for Applied Partial Differential Equations with Fourier Series and Boundary Value Problems, 5th Edition, offering detailed solutions to every question.

James Rodriguez
Contributor
4.3
34
10 months ago
Preview (16 of 84 Pages)
100%
Log in to unlock

Page 1

Solution Manual for Applied Partial Differential Equations with Fourier Series and Boundary Value Problems, 5th Edition - Page 1 preview image

Loading page ...

SOLUTIONSMANUALAPPLIEDPARTIALDIFFERENTIALEQUATION WITHFOURIERSERIESANDBOUNDARYVALUEPROBLEMSRichard HabermanSouthern Methodist University

Page 2

Solution Manual for Applied Partial Differential Equations with Fourier Series and Boundary Value Problems, 5th Edition - Page 2 preview image

Loading page ...

Page 3

Solution Manual for Applied Partial Differential Equations with Fourier Series and Boundary Value Problems, 5th Edition - Page 3 preview image

Loading page ...

Chapter 1. Heat EquationSection 1.21.2.9 (d)Circular cross section means thatP= 2πr, A=πr2, and thusP/A= 2/r, whereris the radius.Alsoγ= 0.1.2.9 (e)u(x, t) =u(t) implies thatdudt=2hr u .The solution of this first-order linear differential equation with constant coefficients, which satisfies theinitial conditionu(0) =u0, isu(t) =u0exp[2hcρr t].Section 1.31.3.2∂u/∂xis continuous ifK0(x0) =K0(x0+), that is, if the conductivity is continuous.Section 1.41.4.1 (a)Equilibrium satisfies (1.4.14),d2u/dx2= 0, whose general solution is (1.4.17),u=c1+c2x. Theboundary conditionu(0) = 0 impliesc1= 0 andu(L) =Timpliesc2=T /Lso thatu=T x/L.1.4.1 (d)Equilibrium satisfies (1.4.14),d2u/dx2= 0, whose general solution (1.4.17),u=c1+c2x. Fromthe boundary conditions,u(0) =TyieldsT=c1anddu/dx(L) =αyieldsα=c2. Thusu=T+αx.1.4.1 (f) In equilibrium, (1.2.9) becomesd2u/dx2=Q/K0=x2, whose general solution (by integratingtwice) isu=x4/12 +c1+c2x. The boundary conditionu(0) =Tyieldsc1=T, whiledu/dx(L) = 0yieldsc2=L3/3. Thusu=x4/12 +L3x/3 +T.1.4.1 (h)Equilibrium satisfiesd2u/dx2= 0.One integration yieldsdu/dx=c2, the second integrationyields the general solutionu=c1+c2x.x= 0 :c2(c1T) = 0x=L:c2=αand thusc1=T+α.Therefore,u= (T+α) +αx=T+α(x+ 1).1.4.7 (a)For equilibrium:d2udx2=1 impliesu=x22+c1x+c2anddudx=x+c1.From the boundary conditionsdudx(0) = 1 anddudx(L) =β, c1= 1 andL+c1=βwhich is consistentonly ifβ+L= 1. Ifβ= 1L, there is an equilibrium solution (u=x22+x+c2). Ifβ6= 1L,there isn’t an equilibrium solution.The difficulty is caused by the heat flow being specified at bothends and a source specified inside. An equilibrium will exist only if these three are in balance. Thisbalance can be mathematically verified from conservation of energy:ddtL0cρu dx=dudx(0) +dudx(L) +L0Q0dx=1 +β+L.Ifβ+L= 1, then the total thermal energy is constant and the initial energy = the final energy:L0f(x)dx=L0(x22+x+c2)dx,which determinesc2.Ifβ+L6= 1, then the total thermal energy is always changing in time and an equilibrium is neverreached.1

Page 4

Solution Manual for Applied Partial Differential Equations with Fourier Series and Boundary Value Problems, 5th Edition - Page 4 preview image

Loading page ...

Section 1.51.5.9 (a)In equilibrium, (1.5.14) using (1.5.19) becomesddr(rdudr)= 0. Integrating once yieldsrdu/dr=c1and integrating a second time (after dividing byr) yieldsu=c1lnr+c2. An alternate general solutionisu=c1ln(r/r1) +c3.The boundary conditionu(r1) =T1yieldsc3=T1, whileu(r2) =T2yieldsc1= (T2T1)/ln(r2/r1). Thus,u=1ln(r2/r1)[(T2T1) lnr/r1+T1ln(r2/r1)].1.5.11 For equilibrium, the radial flow atr=a, 2πaβ, must equal the radial flow atr=b, 2πb. Thusβ=b/a.1.5.13 From exercise 1.5.12, in equilibriumddr(r2dudr)= 0. Integrating once yieldsr2du/dr=c1and integrat-ing a second time (after dividing byr2) yieldsu=c1/r+c2. The boundary conditionsu(4) = 80andu(1) = 0 yields 80 =c1/4 +c2and 0 =c1+c2. Thusc1=c2= 320/3 oru=3203(11r).2

Page 5

Solution Manual for Applied Partial Differential Equations with Fourier Series and Boundary Value Problems, 5th Edition - Page 5 preview image

Loading page ...

Chapter 2. Method of Separation of VariablesSection 2.32.3.1 (a)u(r, t) =φ(r)h(t) yieldsφdhdt=khrddr(rdr). Dividing bykφhyields1khdhdt=1ddr(rdr)=λordhdt=λkhand1rddr(rdr)=λφ.2.3.1 (c)u(x, y) =φ(x)h(y) yieldshd2φdx2+φd2hdy2= 0.Dividing byφhyields1φd2φdx2=1hd2hdy2=λord2φdx2=λφandd2hdy2=λh.2.3.1 (e)u(x, t) =φ(x)h(t) yieldsφ(x)dhdt=kh(t)d4φdx4. Dividing bykφh, yields1khdhdt=1φd4φdx4=λ.2.3.1 (f)u(x, t) =φ(x)h(t) yieldsφ(x)d2hdt2=c2h(t)d2φdx2. Dividing byc2φh, yields1c2hd2hdt2=1φd2φdx2=λ.2.3.2 (b)λ= (nπ/L)2withL= 1 so thatλ=n2π2, n= 1,2, . . .2.3.2 (d)(i) Ifλ >0, φ=c1cosλx+c2sinλx. φ(0) = 0 impliesc1= 0, whiledx(L) = 0 impliesc2λcosλL= 0. ThusλL=π/2 +(n= 1,2, . . .).(ii) Ifλ= 0, φ=c1+c2x.φ(0) = 0 impliesc1= 0 anddφ/dx(L) = 0 impliesc2= 0. Thereforeλ= 0is not an eigenvalue.(iii) Ifλ <0, letλ=sandφ=c1coshsx+c2sinhsx. φ(0) = 0 impliesc1= 0 anddφ/dx(L) = 0impliesc2scoshsL= 0. Thusc2= 0 and hence there are no eigenvalues withλ <0.2.3.2 (f) The simpliest method is to letx=xa. Thend2φ/dx2+λφ= 0 withφ(0) = 0 andφ(ba) = 0.Thus (from p. 46)L=baandλ= [nπ/(ba)]2, n= 1,2, . . ..2.3.3 From (2.3.30),u(x, t) =n=1BnsinnπxLek(nπ/L)2t. The initial condition yields2 cos3πxL=n=1BnsinnπxL. From (2.3.35),Bn=2LL02 cos3πxLsinnπxLdx.2.3.4 (a)Total heat energy =L0cρuA dx=cρAn=1Bnek(L)2t1cosL, using (2.3.30) whereBnsatisfies (2.3.35).2.3.4 (b)heat flux to right =K0∂u/∂xtotal heat flow to right =K0A∂u/∂xheat flow out atx= 0 =K0A∂u∂xx=0heat flow out (x=L) =K0A∂u∂xx=L2.3.4 (c)From conservation of thermal energy,ddtL0u dx=k∂u∂xL0=k∂u∂x(L)k∂u∂x(0).Integrating fromt= 0 yieldsL0u(x, t)dx︷︷heat energyattL0u(x,0)dx︷︷initial heatenergy=kt0[∂u∂x(L)︷︷integral offlow in atx=L∂u∂x(0)]dx︷︷integral offlow out atx=L.2.3.8 (a)The general solution ofkd2udx2=αu(α >0) isu(x) =acoshαkx+bsinhαkx.The boundaryconditionu(0) = 0 yieldsa= 0, whileu(L) = 0 yieldsb= 0. Thusu= 0.3

Page 6

Solution Manual for Applied Partial Differential Equations with Fourier Series and Boundary Value Problems, 5th Edition - Page 6 preview image

Loading page ...

2.3.8 (b)Separation of variables,u=φ(x)h(t) orφdhdt+αφh=khd2φdx2, yields two ordinary differentialequations (divide bykφh):1khdhdt+αk=1φd2φdx2=λ.Applying the boundary conditions, yields theeigenvaluesλ= (nπ/L)2and corresponding eigenfunctionsφ= sinnπxL. The time-dependent part areexponentials,h=eλkteαt. Thus by superposition,u(x, t) =eαtn=1bnsinnπxLek(nπ/L)2t, wherethe initial conditionsu(x,0) =f(x) =n=1bnsinnπxLyieldsbn=2LL0f(x) sinnπxLdx. Ast→ ∞,u0, the only equilibrium solution.2.3.9 (a)Ifα <0, the general equilibrium solution isu(x) =acosαkx+bsinαkx.The boundaryconditionu(0) = 0 yieldsa= 0, whileu(L) = 0 yieldsbsinαkL= 0. Thus ifαkL6=nπ, u= 0 isthe only equilibrium solution. However, ifαkL=, thenu=AsinnπxLis an equilibrium solution.2.3.9 (b)Solution obtained in 2.3.8 is correct. Ifαk=(πL)2, u(x, t)b1sinπxL, the equilibrium solution.Ifαk<(πL)2, thenu0 ast→ ∞. However, ifαk>(πL)2, u→ ∞(ifb16= 0). Note thatb1>0 iff(x)0. Other more unusual events can occur ifb1= 0. [Essentially, the other possible equilibriumsolutions are unstable.]Section 2.42.4.1 The solution is given by (2.4.19), where the coefficients satisfy (2.4.21) and hence (2.4.23-24).(a)A0=1LLL/21dx=12, An=2LLL/2cosnπxLdx=2L·LsinnπxLLL/2=2sin2(b) by inspectionA0= 6, A3= 4, others = 0.(c)A0=2LL0sinπxLdx=2πcosπxLL0=2π(1cosπ) = 4/π, An=4LL0sinπxLcosnπxLdx(d) by inspectionA8=3, others = 0.2.4.3 Letx=xπ. Then the boundary value problem becomesd2φ/dx2=λφsubject toφ(π) =φ(π)anddφ/dx(π) =dφ/dx(π).Thus, the eigenvalues areλ= (nπ/L)2=n2π2, sinceL=π, n=0,1,2, ...with the corresponding eigenfunctions being both sinnπx/L= sinn(xπ) = (1)nsinnx=>sinnxand cosnπx/L= cosn(xπ) = (1)ncosnx=>cosnx.Section 2.52.5.1 (a)Separation of variables,u(x, y) =h(x)φ(y), implies that1hd2hdx2=1φd2φdy2=λ. Thusd2h/dx2=λhsubject toh(0) = 0 andh(L) = 0.Thus as before,λ= (nπ/L)2, n= 0, l,2, . . .withh(x) =cosnπx/L. Furthermore,d2φdy2=λφ=(L)2φso thatn= 0 :φ=c1+c2y, whereφ(0) = 0 yieldsc1= 0n6= 0 :φ=c1coshnπyL+c2sinhnπyL, whereφ(0) = 0 yieldsc1= 0.The result of superposition isu(x, y) =A0y+n=1AncosnπxLsinhnπyL.The nonhomogeneous boundary condition yieldsf(x) =A0H+n=1AnsinhnπHLcosnπxL,so thatA0H= 1LL0f(x)dxandAnsinhnπHL= 2LL0f(x) cosnπxLdx.4

Page 7

Solution Manual for Applied Partial Differential Equations with Fourier Series and Boundary Value Problems, 5th Edition - Page 7 preview image

Loading page ...

2.5.1 (c)Separation of variables,u=h(x)φ(y), yields1hd2hdx2=1φd2φdy2=λ.The boundary conditionsφ(0) = 0 andφ(H) = 0 yield an eigenvalue problem iny, whose solution isλ= (nπ/H)2withφ= sinnπy/H, n= 1,2,3, . . .The solution of thex-dependent equation ish(x) = coshnπx/Husingdh/dx(0) = 0. By superposition:u(x, y) =n=1AncoshnπxHsinnπyH.The nonhomogeneous boundary condition atx=Lyieldsg(y) =n=1AncoshnπLHsinnπyH, so thatAnis determined byAncoshnπLH=2HH0g(y) sinnπyHdy.2.5.1 (e)Separation of variables,u=φ(x)h(y), yields the eigenvaluesλ= (nπ/L)2and correspondingeigenfunctionsφ= sinnπx/L, n= 1,2,3, ...They-dependent differential equation,d2hdy2=(L)2h,satisfiesh(0)dhdy(0) = 0.The general solutionh=c1coshnπyL+c2sinhnπyLobeysh(0) =c1,whiledhdy=L(c1sinhnπyL+c2coshnπyL)obeysdhdy(0) =c2L. Thus,c1=c2Land hencehn(y) =coshnπyL+LsinhnπyL.Superposition yieldsu(x, y) =n=1Anhn(y) sinnπx/L,whereAnis determined from the boundary condition,f(x) =n=1Anhn(H) sinnπx/L,and henceAnhn(H) = 2LL0f(x) sinnπx/L dx .2.5.2 (a)From physical reasoning (or exercise 1.5.8), the total heat flow across the boundary must equalzero in equilibrium (without sources, i.e. Laplace’s equation). ThusL0f(x)dx= 0 for a solution.2.5.3 In order foruto be bounded asr→ ∞, c1= 0 in (2.5.43) and ¯c2= 0 in (2.5.44). Thus,u(r, θ) =n=0Anrncos+n=1Bnrnsinnθ.(a) The boundary condition yieldsA0= ln 2, A3a3= 4, otherAn= 0, Bn= 0.(b) The boundary conditions yield (2.5.46) withanreplacingan. Thus, the coefficients are determinedby (2.5.47) withanreplaced byan2.5.4By substituting (2.5.47) into (2.5.45) and interchanging the orders of summation and integrationu(r, θ) = 1πππf(¯θ)[12 +n=1(ra)n(coscosn¯θ+ sinsinn¯θ)]d¯θ.Noting the trigonometric addition formula and cosz=Re[eiz], we obtainu(r, θ) = 1πππf(¯θ)[12 +Ren=0(ra)nein(θ¯θ)]d¯θ.Summing the geometric series enables the bracketed term to be replaced by12 +Re11raei(θ¯θ)=12 +1racos(θ¯θ)1 +r2a22racos(θ¯θ) =1212r2a21 +r2a22racos(θ¯θ).5

Page 8

Solution Manual for Applied Partial Differential Equations with Fourier Series and Boundary Value Problems, 5th Edition - Page 8 preview image

Loading page ...

2.5.5 (a)The eigenvalue problem isd2φ/dθ2=λφsubject todφ/dθ(0) = 0 andφ(π/2) = 0.It can beshown thatλ >0 so thatφ= cosλθwhereφ(π/2) = 0 implies that cosλπ/2 = 0 orλπ/2 =π/2 +nπ, n= 1,2,3, . . .The eigenvalues areλ= (2n1)2.The radially dependent term satisfies(2.5.40), and hence the boundedness condition atr= 0 yieldsG(r) =r2n1. Superposition yieldsu(r, θ) =n=1Anr2n1cos(2n1)θ.The nonhomogeneous boundary condition becomesf(θ) =n=1Ancos(2n1)θorAn= 4ππ/20f(θ) cos(2n1)θ dθ.2.5.5 (c) The boundary conditions of (2.5.37) must be replaced byφ(0) = 0 andφ(π/2) = 0. Thus,L=π/2,so thatλ= (nπ/L)2= (2n)2andφ= sinnπθL= sin 2.The radial part that remains bounded atr= 0 isG=rλ=r2n. By superposition,u(r, θ) =n=1Anr2nsin 2nθ .To apply the nonhomogeneous boundary condition, we differentiate with respect tor:∂u∂r=n=1An(2n)r2n1sin 2nθ .The bc atr= 1,f(θ) =n=12nAnsin 2, determinesAn,2nAn=4ππ/20f(θ) sin 2nθ dθ.2.5.6 (a)The boundary conditions of (2.5.37) must be replaced byφ(0) = 0 andφ(π) = 0. ThusL=π,so that the eigenvalues areλ= (nπ/L)2=n2and corresponding eigenfunctionsφ= sinnπθ/L=sinnθ, n= 1,2,3, ...The radial part which is bounded atr= 0 isG=rλ=rn. Thus by superpositionu(r, θ) =n=1Anrnsinnθ .The bc atr=a,g(θ) =n=1Anansinnθ,determinesAn, Anan=2ππ0g(θ) sinnθ dθ.2.5.7 (b)The boundary conditions of (2.5.37) must be replaced byφ(0) = 0 andφ(π/3) = 0.This willyield a cosine series withL=π/3, λ= (nπ/L)2= (3n)2andφ= cosnπθ/L= cos 3nθ, n= 0,1,2, . . ..The radial part which is bounded atr= 0 isG=rλ=r3n.Thus by superpositionu(r, θ) =n=0Anr3ncos 3nθ .The boundary condition atr=a,g(θ) =n=0Ana3ncos 3nθ,determinesAn:A0=3ππ/30g(θ)and (n6= 0)Ana3n=6ππ/30g(θ) cos 3nθ dθ.2.5.8 (a) There is a full Fourier series inθ. It is easier (but equivalent) to choose radial solutions that satisfythe corresponding homogeneous boundary condition. Instead ofrnandrn(1 and lnrforn= 0), wechooseφ1(r) such thatφ1(a) = 0 andφ2(r) such thatφ2(b) = 0 :φ1(r) ={ln(r/a)n= 0(ra)n(ar)nn6= 0φ2(r) ={ln(r/b)n= 0(rb)n(br)nn6= 0.6

Page 9

Solution Manual for Applied Partial Differential Equations with Fourier Series and Boundary Value Problems, 5th Edition - Page 9 preview image

Loading page ...

Then by superpositionu(r, θ) =n=0cos[Anφ1(r) +Bnφ2(r)] +n=1sin[Cnφ1(r) +Dnφ2(r)].The boundary conditions atr=aandr=b,f(θ) =n=0cos[Anφ1(a) +Bnφ2(a)] +n=1sin[Cnφ1(a) +Dnφ2(a)]g(θ) =n=0cos[Anφ1(b) +Bnφ2(b)] +n=1sin[Cnφ1(b) +Dnφ2(b)]easily determineAn, Bn, Cn, Dnsinceφ1(a) = 0 andφ2(b) = 0 :Dnφ2(a) =1πππf(θ) sinnθ dθ,etc.2.5.9 (a)The boundary conditions of (2.5.37) must be replaced byφ(0) = 0 andφ(π/2) = 0.This is asine series withL=π/2 so thatλ= (nπ/L)2= (2n)2and the eigenfunctions areφ= sinnπθ/L=sin 2nθ, n= 1,2,3, . . ..The radial part which is zero atr=aisG= (r/a)2n(a/r)2n.Thus bysuperposition,u(r, θ) =n=1An[(ra)2n(ar)2n]sin 2nθ.The nonhomogeneous boundary condition,f(θ) =n=1An[(ba)2n(ab)2n]sin 2nθ,determinesAn:An[(ba)2n(ab)2n]=4ππ/20f(θ) sin 2nθ dθ.2.5.9 (b) The two homogeneous boundary conditions are inr, and henceφ(r) must be an eigenvalue problem.By separation of variables,u=φ(r)G(θ), d2G/dθ2=λGandr2d2φdr2+rdr+λφ= 0.The radial equationis equidimensional (see p.78) and solutions are in the formφ=rp.Thusp2=λ(withλ >0) sothatp=±iλ.r±iλ=e±iλlnr.Thus real solutions are cos(λlnr) and sin(λlnr). It is moreconvenient to use independent solutions which simplify atr=a,cos[λln(r/a)] and sin[λln(r/a)].Thus the general solution isφ=c1cos[λln(r/a)] +c2sin[λln(r/a)].The homogeneous conditionφ(a) = 0 yields 0 =c1, whileφ(b) = 0 implies sin[λln(r/a)] = 0 . Thusλln(b/a) =nπ, n= 1,2,3, ...and the corresponding eigenfunctions areφ= sin[ln(r/a)ln(b/a)].Thesolution of theθ-equation satisfyingG(0) = 0 isG= sinhλθ= sinhnπθln(b/a).Thus by superpositionu=n=1Ansinhnπθln(b/a) sin[ln(r/a)ln(b/a)].The nonhomogeneous boundary condition,f(r) =n=1Ansinh22 ln(b/a) sin[ln(r/a)ln(b/a)],will determineAn. One method (for another, see exercise 5.3.9) is to letz= ln(r/a)/ln(b/a). Thena < r < b, lets 0< z <1. This is a sine series inz(withL= 1) and henceAnsinh22 ln(b/a) = 210f(r) sin[ln(r/a)ln(b/a)]dz.Butdz=dr/rln(b/a). ThusAnsinh22 ln(b/a) =2ln(b/a)10f(r) sin[ln(r/a)ln(b/a)]dr/r.7

Page 10

Solution Manual for Applied Partial Differential Equations with Fourier Series and Boundary Value Problems, 5th Edition - Page 10 preview image

Loading page ...

Chapter 3. Fourier SeriesSection 3.23.2.2 (a)xa0+n=1ancosnπx/L+n=1bnsinnπx/L.From (3.2.2),a0= 0 sincef(x) is odd,(n6= 0)an= 0 sincef(x) is odd, andbn=1LLLxsinnπx/L dx=2L(1)n+1.3.2.2 (c)sinπx/La0+n=1ancosnπx/L+n=1bnsinnπx/L. By inspection,b1= 1, all others = 0.3.2.2 (f)From (3.2.2),a0=12LL0dx= 1/2(n6= 0)an=1LL0cosnπx/L dx= 0bn=1LL0sinnπx/L dx=1cosnπxLL0=1cosThusbn= 2/nπ, nodd, butbn= 0,neven.3.3.2 (d)From (3.3.6),Bn=2LL/20sinnπx/L dx=2cosnπx/LL/20=2(1cos2).3.3.10f(x) ={x2x <0(orx >0)exx >0(orx <0).Thus.fe(x) =12[f(x) +f(x)] =12{x2+exx <0x2+exx >0f0(x) =12[f(x)f(x)] =12{x2exx <0exx2x >03.3.13bn=2LL0f(x) sinnπx/L dx, given thatf(x) is even aroundL/2. Note (perhaps by graphing) thatsinnπx/Lis odd aroundL/2 forneven. Thusf(x) sinnπx/Lis odd aroundL/2 forneven, and hencebn= 0 forneven.Section 3.43.4.1 (a)ba=ca+bc+. Thusbau dvdx dx=uvca+uvbc+bav dudx dx=uvba+uvcc+bav dudx dx.3.4.3 (a)We want to determine the sine coefficients ofdf /dx:dfdx=n=1bnsinnπxL,where the cosinecoefficients offare givenf=n=0ancosnπxL(n6= 0)an= 2LL0fcosnπxLdx.Here by integration by partsbn= 2LL0dfdxsinnπxLdx= 2L[fsinnπxLx00+fsinnπxLLx0+LL0fcosnπxLdx].Thusbn=2Lsinnπx0L(αβ)Lan.8

Page 11

Solution Manual for Applied Partial Differential Equations with Fourier Series and Boundary Value Problems, 5th Edition - Page 11 preview image

Loading page ...

3.4.9∂u∂x=n=1(L)bncosnπxLsinceu(0) = 0 andu(L) = 0.2u∂x2∼ −n=1(L)2bnsinnπxL. Thus fromp. 119,n=1dbndtsinnπxL∼ −kn=1(L)2bnsinnπxL+q. Thusdbndt+k(L)2bn=2LL0qsinnπxLdx.3.4.12 The eigenfunctions of the related homogeneous problem are cosnπx/L, n= 0,1,2, . . ..Thusun=0An(t) cosnπx/L, which can be differentiated (ifuis continuous) since it is a cosine series:∂u/∂xn=0An(nπ/L) sinnπxL.This can be differentiated again (if∂u/∂xis continuous) onlybecause∂u/∂x(0) = 0 and∂u/∂x(L) = 0:2u/∂x2∼ −n=0An(nπ/L)2cosnπx/L. Thus from p.119n=0[dAndt+k(L)2An]cosnπxL=et+e2tcos 3πxL.The right hand side is a simple cosine series (with only two non-zero terms). ThusdAndt+k(L)2An=etn= 0e2tn= 30otherwise.The initial conditions areA0(0) =1LL0f(x)dxand (n6= 0)An(0) =2LL0f(x) cosnπxLdx.Thesolution of the differential equations aren6= 0,3An(t)=An(0)ek(nπ/L)2tA0(t)=A0(0) + 1et,obtained by integrationA3(t)=A3(0)ek(nπ/L)2t+e2tek(nπ/L)2tk(3πL)22,obtained by using the method of undetermined coefficients (judicious guessing) for the particularsolution. This works ife2tis not a homogeneous solution, i.e.,26=k(3π/L)2.Section 3.53.5.4 (a)Using 3.4.13 withf(x) = coshx(f(0) = 1, f(L) = coshL),sinhx1L(coshL1) +n=1[Lbn+2L((1)ncoshL1)]cosnπxL. Since this is a cosine series, itmay be differentiatedcoshx∼ −n=1[(L)2bn+ 2L2((1)ncoshL1)]sinnπxL.Thusbn=(L)2bn2L2[(1)ncoshL1] orbn=2L21(1)ncoshL1+(nπ/L)2.3.5.4 (b)Integrating yields sinhx=A0+n=1Lbncosnπx/L, whereA0=1LL0sinhx dx=1L(coshL1). Integrating again yields coshx1 =A0x+n=1(L)2bnsinnπx/L. Thusn=1bn[1 +(L)2]sinnπx/L= 1 +A0x.Using (3.3.8) and (3.3.l2)bn[1 +(L)2]=2[1(1)n] +1L(coshL1)2L(1)n+1orbn=21(1)ncoshL1 +(L)2.3.5.7 Evaluate (3.5.6) atx=L/2:L28=L244L2π3(1133+ 153. . .)or 1133+ 153173=L2/84L23=π3/32.9

Page 12

Solution Manual for Applied Partial Differential Equations with Fourier Series and Boundary Value Problems, 5th Edition - Page 12 preview image

Loading page ...

Section 3.63.6.1The complex Fourier coefficient is defined by (3.6.7):cn=12LLLf(x)einπx/Ldx=12L4x0+4x0einπx/Ldx .Thuscn=12L4Linπ einπx/Lx0+4x0=12inπ4einπx0/L(einπ4/L1).Equivalently,cn=12inπ4einπ(x0+4/2)/L(einπ4/2Leinπ4/2L)orcn=14einπ(x0+4/2)/Lsin(4/2L).10

Page 13

Solution Manual for Applied Partial Differential Equations with Fourier Series and Boundary Value Problems, 5th Edition - Page 13 preview image

Loading page ...

Chapter 4. Vibrating Strings and MembranesSection 4.44.4.1 (a)Natural frequencies arecλ, butλ= (nπ/L)2. Thus frequencies arenπc/L, n= 1,2,3, ...4.4.1 (b)Natural frequencies arecλ.The boundary conditionφ(0) = 0 impliesφ=c1sinλx, whiledφ/dx(H) = 0 yieldsλH= (m12)πwithm= 1,2,3. Thus the frequencies are (m12)πc/Handthe eigenfunctions are sin(m12)πx/H.4.4.2 (c)By separation of variables,u=φ(x)h(t),d2hdt2=λhandT0d2φdx2+ (α+λρ0)φ= 0. Withφ(0) = 0andφ(L) = 0,(α+λρ0)/T0= (nπ/L)2, n= 1,2,3, . . .andφ= sinnπx/L. In generalh(t) involves alinear combination of sinλtand cosλt, but the homogeneous initial conditionu(x,0) = 0 impliesthere are no cosines. Thus by superpositionu(x, t) =n=1Ansinλntsinnπx/L,where the frequencies of vibration areλn=(nπ/L)2T0αρ0.The other initial condition,f(x) =n=1Anλnsinnπx/L,determinesAnAnλn= 2LL0f(x) sinnπx/L dx.4.4.3 (b)By separation of variables,u=φ(x)h(t),ρ0h′′+βhhT0=φ′′φ=λ.The boundary conditionsφ(0) = 0andφ(L) = 0 yieldλ= (nπ/L)2withφ= sinnπx/L, n= 1,2,3, . . .. The time-dependent equationhas constant coefficients,ρ0h′′+βh+(L)2T0h= 0,and hence can be solved by substitutionh=ert. This yields the quadratic equationρ0r2+βr+(L)2T0= 0,whose roots arer=β±β24ρ0T0(nπ/L)22ρ0.Sinceβ2<4ρ0T0(π/L)2, the discriminant is<0 for alln:r=β2ρ0+iwn,wherewn=T0ρ0(L)2β24ρ20.Real solutions areh=eβt/2ρ0(sinwnt,coswnt). Thus by superpositionu=eβt/2ρ0n=1(ancoswnt+bnsinwnt) sinnπxL.The initial conditionu(x,0) =f(x) determinesan,an=2LL0f(x) sinnπxLdx,while∂u∂t(x,0) =g(x) isa little more complicated,g(x) =n=1bnwnsinnπxLβ2ρ0n=1ansinnπxL︷︷f(x),and thusbnwn=βan2ρ0+ 2LL0g(x) sinnπxLdx.11

Page 14

Solution Manual for Applied Partial Differential Equations with Fourier Series and Boundary Value Problems, 5th Edition - Page 14 preview image

Loading page ...

Chapter 5. Sturm-Liouville Eigenvalue ProblemsSection 5.35.3.1 By separation of variables,u=φ(x)h(t),1hd2hdt2=1ρ0φ(x)[T0d2φdx2+αφ]=λ.Thus,d2hdt2=λhandT0d2φdx2+αφ+λρ0φ= 0.For the time-dependent equation (ifλ >0),h=c1cosλt+c2sinλt.The spatial equation is inSturm-Liouville form:ρ=T0constant,q=α(x), σ=ρ0(x).5.3.3Hd2φ/dx2=ddx(Hdφ/dx)dH/dx dφ/dx. Thusddx(Hdφ/dx)+dφ/dx(dH/dx)+(λβ+γ)= 0.To be in standard Sturm-Liouville form,dHdx=αHorH=c1exp[∫xα(t)dt],letc1= 1.Thenρ(x) =H, q(x) =γH, andσ(x) =βH.5.3.4 (b)By separation of variables,u=φ(x)h(t),1hdhdt=1φ(kd2φdx2v0dx)=λ. The boundary valueproblem iskd2φdx2v0dx+λφ= 0.φ=erximplieskr2v0r+λ= 0 orr=v0±v204λk2k=v0±i4λkv202k.To satisfy the boundary conditionsφ(0) = 0 andφ(L) = 0:4λkv202k=Landφ(x) =ev02kxsinnπxL.Thus, by superposition,u=n=1Anev02kxsinnπxLeλnt=ev02kxn=1AnsinnπxLeλnt.The initial value problem can be solvedf(x) =ev02kxn=1AnsinnπxLso thatAn= 2LL0f(x)ev02kxsinnπxLdx.Note thatλ=v204k+k(L)2.5.3.9 (c) Since it is equidimensional,φ=xr, which impliesr(r1)+r+λ= 0 orr2=λ. Ifλ >0, r=±iλ,wherex±iλ=e±iλlnx.Thus the general solution isφ=c1cos(λlnx)+c2sin(λlnx).Theboundary conditionφ(1) = 0 impliesc1= 0, and henceφ(b) = 0 yields sin(λlnb)= 0 orλlnb=nπ, n= 1,2, . . .. Thusλ= (nπ/lnb)2. Ifλ= 0 the differential equation becomesddx(xdφ/dx) = 0.Thus, the general solution isφ=c1+c2lnx. The conditionφ(1) = 0 yieldsc1= 0, and thenφ(b) = 0impliesc2= 0. Thusλ= 0 is not an eigenvalue.12

Page 15

Solution Manual for Applied Partial Differential Equations with Fourier Series and Boundary Value Problems, 5th Edition - Page 15 preview image

Loading page ...

Section 5.45.4.2 The eigenfunctions satisfy (5.4.6) with the boundary conditions beingdφ/dx(0) = 0 anddφ/dx(L) = 0.From the Rayleigh quotient (5.4.16)λ0.Alsoλ= 0 only ifdφ/dx= 0 for allx.The boundaryconditions implyλ= 0 is an eigenvalue withφ= constant = 1 the corresponding eigenfunction. Thusby superposition using (5.4.5)u=n=1anφn(x)eλnt(withλ1= 0, φ1= 1).The initial conditions,f(x) =n=1anφn(x),yieldan=L0f φncρ dxL0φ2ncρ dx ,since the eigenfunctions are orthogonal with weight. Ast→ ∞,ua1=L0f cρ dxL0cρ dx ,a weighted average of the initial temperature distribution. This can also be shown using conservationof total thermal energy.Since the ends are insulated, the final thermal energy (t→ ∞) equals theinitial thermal energy (t= 0).5.4.3 From (5.2.11) the eigenfunctions, denotedφn(r), are orthogonal with weightr. The time-dependentpart satisfies (5.2.10), and henceh(t) =eλkt. By superpositionu=n=1anφn(r)eλkt.The initial condition,f(r) =n=1anφn(r),determinesan,an=a0f(r)φn(r)r dra0φ2n(r)r dr.5.4.6 By separation of variables,u=φ(x)h(t),T0d2φdx2+λρ0φ=0d2hdt2+λh=0.The boundary conditions are of the Sturm-Liouville type, and therefore the eigenfunctions denotedφn(x) are orthogonal with weightρ0(x). We call the eigenvaluesλn. Then the time-dependent problemhas solutions cosλntand sinλnt. Initially at rest means∂u/∂t(x,0) = 0, so that only cosines areneeded. Thus by superpositionu=n=1Anφn(x) cosλnt.The initial position yieldsf(x) =n=1Anφn(x),13

Page 16

Solution Manual for Applied Partial Differential Equations with Fourier Series and Boundary Value Problems, 5th Edition - Page 16 preview image

Loading page ...

determiningAn,An=L0f(x)φn(x)ρ0(x)dxL0φ2nρ0dx.Section 5.55.5.1 (g)To be self-adjoint (ifpis constant),u(L)dVdx(L)v(L)dudx(L) =u(0)dvdx(0)v((0)dudx(0).The derivatives atx=Lmay be eliminated from the boundary conditions.After some algebra, weobtain(αδβγ)[u(0)dvdx(0)v(0)dudx(0)]=u(0)dvdx(0)v(0)dudx(0).Thus, it is self-adjoint only ifαδβγ= 1.5.5.9 Multiply the differential equation byφand integrate:10φ d4φdx4dx+λ10exφ2dx= 0.Note thatφ d4φdx4=ddx(φ d3φdx3)dxd3φdx3=ddx(φ d3φdx3)ddx(dxd2φdx2)+(d2φdx2)2.Thusφd3φdx310dxd2φdx210+10(d2φdx2)2dx+λ10exφ2dx= 0.From the boundary conditions, the boundary contributions vanish. Thusλ=10(d2φdx2)2dx10exφ2dx,so thatλ0.Section 5.65.6.1 (c)From (5.6.6) usingp= 1, q= 0, σ= 1 and using the boundary conditions,λ1u2T(1) +10(duTdx)2dx10u2Tdx.Any trial function should satisfy the boundary conditions (and be continuous with no zeroes).Ge-ometrically, a simple example is a parabola (uT(0) = 0, uT(1) = 1, duT/dx(1) =1, from theboundary conditions.To obtain this parabola, we substituteuT=ax+bx2into the condition atx= 1 :a+ 2b+a+b= 0, a simple choice beinga= 3, b=2 so thatuT= 3x2x2anduT/dx= 34x. Thus,λ11 +10(34x)2dx10(3x2x2)2dx=1112(34x)31010(9x212x3+ 4x4)dx= 1112(127)33 +45= 40/124/5= 4 16.14
Preview Mode

This document has 84 pages. Sign in to access the full document!