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Solutions Manual — Applied Partial Differential Equations with Fourier Series and Boundary Value Problems, 5th Edition (Haberman, 2013), All Chapters Covered

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Master the analytical techniques and physical interpretations of partial differential equations with this comprehensive Solutions Manual for the 5th Edition of Applied Partial Differential Equations by Richard Haberman, a professional-grade academic resource providing detailed, step-by-step worked solutions to every exercise and boundary value problem in the text. This manual offers exhaustive mathematical guidance for foundational models in Chapter 1: The Heat Equation, Chapter 2: Method of Separation of Variables, and Chapter 3: Fourier Series, delivering precise derivations for the temperature distribution in rods and the convergence of trigonometric series. It provides rigorous technical support for classic PDEs and their applications in Chapter 4: Wave Equation: Vibrating Strings and Membranes, Chapter 5: Sturm–Liouville Eigenvalue Problems, and Chapter 10: Infinite Domain Problems: Fourier Transform Solutions, including thorough solutions for d’Alembert’s formula, orthogonality of eigenfunctions, and the application of transforms to heat and wave propagation. Furthermore, the resource provides expert-level validation for higher-dimensional problems and advanced techniques in Chapter 7: Higher Dimensional Partial Differential Equations, Chapter 8: Nonhomogeneous Problems, Chapter 9: Green’s Functions for Time-Independent Problems, and Chapter 12: Method of Characteristics for Linear and Quasilinear Wave Equations, ensuring instructors and students can accurately navigate Bessel functions, Legendre polynomials, and the propagation of signals along characteristic curves. Finally, the manual delivers exhaustive support for numerical and transform methods in Chapter 6: Finite Difference Numerical Methods for Partial Differential Equations, Chapter 13: Laplace Transform Solution of Partial Differential Equations, and Chapter 14: Dispersive Waves, providing detailed solutions for stability analysis and the behavior of wave packets, ensuring robust preparation for grading, assessment, and professional excellence in the fields of mathematics, physics, and engineering.

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Institution
Applied Partial Differential Equations
Course
Applied Partial Differential Equations

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, Chapter 1. Heat Equation
Section 1.2
1.2.9 (d) Circular cross section means that P = 2πr, A = πr2 , and thus P/A = 2/r, where r is the radius.
Also γ = 0.
1.2.9 (e) u(x, t) = u(t) implies that
du 2h
cρ =− u.
dt r
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The solution of this first-order linear differential equation with constant coefficients, which satisfies the
initial condition u(0) = u0 , is · ¸
2h
u(t) = u0 exp − t .
cρr
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Section 1.3
1.3.2 ∂u/∂x is continuous if K0 (x0 −) = K0 (x0 +), that is, if the conductivity is continuous.

Section 1.4
1.4.1 (a) Equilibrium satisfies (1.4.14), d2 u/dx2 = 0, whose general solution is (1.4.17), u = c1 + c2 x. The
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boundary condition u(0) = 0 implies c1 = 0 and u(L) = T implies c2 = T /L so that u = T x/L.
1.4.1 (d) Equilibrium satisfies (1.4.14), d2 u/dx2 = 0, whose general solution (1.4.17), u = c1 + c2 x. From
the boundary conditions, u(0) = T yields T = c1 and du/dx(L) = α yields α = c2 . Thus u = T + αx.
1.4.1 (f) In equilibrium, (1.2.9) becomes d2 u/dx2 = −Q/K0 = −x2 , whose general solution (by integrating
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twice) is u = −x4 /12 + c1 + c2 x. The boundary condition u(0) = T yields c1 = T , while du/dx(L) = 0
yields c2 = L3 /3. Thus u = −x4 /12 + L3 x/3 + T .
1.4.1 (h) Equilibrium satisfies d2 u/dx2 = 0. One integration yields du/dx = c2 , the second integration
yields the general solution u = c1 + c2 x.
x=0: c2 − (c1 − T ) = 0
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x=L: c2 = α and thus c1 = T + α.
Therefore, u = (T + α) + αx = T + α(x + 1).
1.4.7 (a) For equilibrium:
d2 u x2
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du
2
= −1 implies u = − + c1 x + c2 and = −x + c1 .
dx 2 dx
From the boundary conditions du du
dx (0) = 1 and dx (L) = β, c1 = 1 and −L + c1 = β which is consistent
2
only if β + L = 1. If β = 1 − L, there is an equilibrium solution (u = − x2 + x + c2 ). If β 6= 1 − L,
there isn’t an equilibrium solution. The difficulty is caused by the heat flow being specified at both
ends and a source specified inside. An equilibrium will exist only if these three are in balance. This
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balance can be mathematically verified from conservation of energy:
Z Z L
d L du du
cρu dx = − (0) + (L) + Q0 dx = −1 + β + L.
dt 0 dx dx 0

If β + L = 1, then the total thermal energy is constant and the initial energy = the final energy:
Z L Z Lµ 2 ¶
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x
f (x) dx = − + x + c2 dx, which determines c2 .
0 0 2

If β + L 6= 1, then the total thermal energy is always changing in time and an equilibrium is never
reached.

1

, Section 1.5
d
¡ du ¢
1.5.9 (a) In equilibrium, (1.5.14) using (1.5.19) becomes dr r dr = 0. Integrating once yields rdu/dr = c1
and integrating a second time (after dividing by r) yields u = c1 ln r + c2 . An alternate general solution
is u = c1 ln(r/r1 ) + c3 . The boundary condition u(r1 ) = T1 yields c3 = T1 , while u(r2 ) = T2 yields
c1 = (T2 − T1 )/ ln(r2 /r1 ). Thus, u = ln(r21/r1 ) [(T2 − T1 ) ln r/r1 + T1 ln(r2 /r1 )].

1.5.11 For equilibrium, the radial flow at r = a, 2πaβ, must equal the radial flow at r = b, 2πb. Thus β = b/a.
d
¡ 2 du ¢
1.5.13 From exercise 1.5.12, in equilibrium dr r dr = 0. Integrating once yields r2 du/dr = c1 and integrat-
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2
ing a second time (after dividing by r ) yields u = −c1 /r + c2 . The boundary conditions ¡ u(4) ¢ = 80
and u(1) = 0 yields 80 = −c1 /4 + c2 and 0 = −c1 + c2 . Thus c1 = c2 = 320/3 or u = 320 3 1 − 1r .
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2

, Chapter 2. Method of Separation of Variables
Section 2.3
³ ´ ³ ´

2.3.1 (a) u(r, t) = φ(r)h(t) yields φ dh = kh d
r dr . Dividing by kφh yields
1 dh
= 1 d
r dφ = −λ or
³ ´ dt r dr kh dt rφ dr dr
dh 1 d dφ
dt = −λkh and r dr r dr = −λφ.
2 2 2 2
2.3.1 (c) u(x, y) = φ(x)h(y) yields h ddxφ2 + φ ddyh2 = 0. Dividing by φh yields 1 d φ
φ dx2 = − h1 ddyh2 = −λ or
d2 φ d2 h
= −λφ and = λh.
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dx2 dy 2
4 4
d φ 1 d φ
2.3.1 (e) u(x, t) = φ(x)h(t) yields φ(x) dh
dt = kh(t) dx4 . Dividing by kφh, yields
1 dh
kh dt = φ dx4 = λ.
2 2 2
1 d2 h
2.3.1 (f) u(x, t) = φ(x)h(t) yields φ(x) ddt2h = c2 h(t) ddxφ2 . Dividing by c2 φh, yields c2 h dt2 = 1 d φ
φ dx2 = −λ.
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2.3.2 (b) λ = (nπ/L)2 with L = 1 so that λ = n2 π 2 , n = 1, 2, . . .

2.3.2 (d)
√ √ dφ
(i) If λ > 0, φ = c1 cos λx + c2 sin λx. φ(0) = 0 implies c1 = 0, while dx (L) = 0 implies
√ √ √
c2 λ cos λL = 0. Thus λL = −π/2 + nπ(n = 1, 2, . . .).
(ii) If λ = 0, φ = c1 + c2 x. φ(0) = 0 implies c1 = 0 and dφ/dx(L) = 0 implies c2 = 0. Therefore λ = 0
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is not an eigenvalue.
√ √
(iii) If λ < 0, let
√ λ = −s√ and φ = c1 cosh sx + c2 sinh sx. φ(0) = 0 implies c1 = 0 and dφ/dx(L) = 0
implies c2 s cosh sL = 0. Thus c2 = 0 and hence there are no eigenvalues with λ < 0.
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2.3.2 (f) The simpliest method is to let x0 = x − a. Then d2 φ/dx02 + λφ = 0 with φ(0) = 0 and φ(b − a) = 0.
2
Thus (from p. 46) L = b − a and λ = [nπ/(b − a)] , n = 1, 2, . . ..
P∞ −k(nπ/L)2 t
2.3.3 From (2.3.30), u(x, t) = n=1 Bn sin nπxL e . The initial condition yields
P∞ 2 L
R
nπx
2 cos L = n=1 Bn sin L . From (2.3.35), Bn = L 0 2 cos 3πx
3πx nπx
L sin L dx.
RL P∞
PP
2
Bn e−k( )

t 1−cos nπ
2.3.4 (a) Total heat energy = 0
cρuA dx = cρA n=1
L
nπ , using (2.3.30) where Bn
L
satisfies (2.3.35).
2.3.4 (b)
heat flux to right = −K0 ∂u/∂x
total heat flow to right = −K0 A∂u/∂x
¯
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heat flow out at x = 0 = K0 A ∂u ¯
¯
∂x x=0
∂u ¯
heat flow out (x = L) = −K0 A ∂x x=L
RL ¯L
d ¯
2.3.4 (c) From conservation of thermal energy, dt 0
u dx = k ∂u ∂u ∂u
∂x ¯ = k ∂x (L) − k ∂x (0). Integrating from
0
t = 0 yields
Z L Z L Z t· ¸
∂u ∂u
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u(x, t) dx − u(x, 0) dx = k (L) − (0) dx .
∂x ∂x
|0 {z } |0 {z } | 0 {z } | {z }
heat energy initial heat integral of integral of
at t energy flow in at flow out at
x=L x=L
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2 p p
2.3.8 (a) The general solution of k ddxu2 = αu (α > 0) is u(x) = a cosh αk x + b sinh αk x. The boundary
condition u(0) = 0 yields a = 0, while u(L) = 0 yields b = 0. Thus u = 0.




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Applied Partial Differential Equations
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Applied Partial Differential Equations

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