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基于福兰德(Walter A. Strauss)偏微分方程导论(第2版)(英文版) 习题答案
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基于福兰德(Walter A. Strauss)偏微分方程导论(第2版)(英文版)的 习题答案Partial Differential Equations, 2e Walter A. Strauss Partial Differential Equations An Introduction with Solutions Manual 2nd
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PARTIAL
DIFFERENTIAL
EQUATIONS
AN INTRODUCTION
WALTER A. STRAUSS
Brown University
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CONTENTS
(The starred sections form the basic part of the book.)
Chapter 1/Where PDEs Come From
1.1* What is a Partial Differential Equation? 1
1.2* First-Order Linear Equations 6
1.3* Flows, Vibrations, and Diffusions 10
1.4* Initial and Boundary Conditions 20
1.5 Well-Posed Problems 25
1.6 Types of Second-Order Equations 28
Chapter 2/Waves and Diffusions
2.1* The Wave Equation 33
2.2* Causality and Energy 39
2.3* The Diffusion Equation 42
2.4* Diffusion on the Whole Line 46
2.5* Comparison of Waves and Diffusions 54
Chapter 3/Reflections and Sources
3.1 Diffusion on the Half-Line 57
3.2 Reflections of Waves 61
3.3 Diffusion with a Source 67
3.4 Waves with a Source 71
3.5 Diffusion Revisited 80
Chapter 4/Boundary Problems
4.1* Separation of Variables, The Dirichlet Condition 84
4.2* The Neumann Condition 89
4.3* The Robin Condition 92
viii
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CONTENTS ix
Chapter 5/Fourier Series
5.1* The Coefficients 104
5.2* Even, Odd, Periodic, and Complex Functions 113
5.3* Orthogonality and General Fourier Series 118
5.4* Completeness 124
5.5 Completeness and the Gibbs Phenomenon 136
5.6 Inhomogeneous Boundary Conditions 147
Chapter 6/Harmonic Functions
6.1* Laplace’s Equation 152
6.2* Rectangles and Cubes 161
6.3* Poisson’s Formula 165
6.4 Circles, Wedges, and Annuli 172
(The next four chapters may be studied in any order.)
Chapter 7/Green’s Identities and Green’s Functions
7.1 Green’s First Identity 178
7.2 Green’s Second Identity 185
7.3 Green’s Functions 188
7.4 Half-Space and Sphere 191
Chapter 8/Computation of Solutions
8.1 Opportunities and Dangers 199
8.2 Approximations of Diffusions 203
8.3 Approximations of Waves 211
8.4 Approximations of Laplace’s Equation 218
8.5 Finite Element Method 222
Chapter 9/Waves in Space
9.1 Energy and Causality 228
9.2 The Wave Equation in Space-Time 234
9.3 Rays, Singularities, and Sources 242
9.4 The Diffusion and Schr
¨
odinger Equations 248
9.5 The Hydrogen Atom 254
Chapter 10/Boundaries in the Plane and in Space
10.1 Fourier’s Method, Revisited 258
10.2 Vibrations of a Drumhead 264
10.3 Solid Vibrations in a Ball 270
10.4 Nodes 278
10.5 Bessel Functions 282
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x CONTENTS
10.6 Legendre Functions 289
10.7 Angular Momentum in Quantum Mechanics 294
Chapter 11/General Eigenvalue Problems
11.1 The Eigenvalues Are Minima of the Potential Energy 299
11.2 Computation of Eigenvalues 304
11.3 Completeness 310
11.4 Symmetric Differential Operators 314
11.5 Completeness and Separation of Variables 318
11.6 Asymptotics of the Eigenvalues 322
Chapter 12/Distributions and Transforms
12.1 Distributions 331
12.2 Green’s Functions, Revisited 338
12.3 Fourier Transforms 343
12.4 Source Functions 349
12.5 Laplace Transform Techniques 353
Chapter 13/PDE Problems from Physics
13.1 Electromagnetism 358
13.2 Fluids and Acoustics 361
13.3 Scattering 366
13.4 Continuous Spectrum 370
13.5 Equations of Elementary Particles 373
Chapter 14/Nonlinear PDEs
14.1 Shock Waves 380
14.2 Solitons 390
14.3 Calculus of Variations 397
14.4 Bifurcation Theory 401
14.5 Water Waves 406
Appendix
A.1 Continuous and Differentiable Functions 414
A.2 Infinite Series of Functions 418
A.3 Differentiation and Integration 420
A.4 Differential Equations 423
A.5 The Gamma Function 425
References 427
Answers and Hints to Selected Exercises 431
Index 446
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1
WHERE PDEs
COME FROM
After thinking about the meaning of a partial differential equation, we will
flex our mathematical muscles by solving a few of them. Then we will see
how naturally they arise in the physical sciences. The physics will motivate
the formulation of boundary conditions and initial conditions.
1.1 WHAT IS A PARTIAL DIFFERENTIAL EQUATION?
The key defining property of a partial differential equation (PDE) is that there
is more than one independent variable x, y,....There is a dependent variable
that is an unknown function of these variables u(x, y, ...). We will often
denote its derivatives by subscripts; thus ∂u/∂x = u
x
, and so on. A PDE is an
identity that relates the independent variables, the dependent variable u, and
the partial derivatives of u. It can be written as
F(x, y, u(x, y), u
x
(x, y), u
y
(x, y)) = F(x, y, u, u
x
, u
y
) = 0. (1)
This is the most general PDE in two independent variables of first order. The
order of an equation is the highest derivative that appears. The most general
second-order PDE in two independent variables is
F(x, y, u, u
x
, u
y
, u
xx
, u
xy
, u
yy
) = 0. (2)
A solution of a PDE is a function u(x, y, ...) that satisfies the equation
identically, at least in some region of the x, y, . . . variables.
When solving an ordinary differential equation (ODE), one sometimes
reverses the roles of the independent and the dependent variables—for in-
stance, for the separable ODE
du
dx
= u
3
. For PDEs, the distinction between
the independent variables and the dependent variable (the unknown) is always
maintained.
1
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