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Partial Differential Equations: An Accessible Route through Theory and Applications [Kõva köide]

  • Formaat: Hardback, 280 pages, kõrgus x laius: 254x178 mm, kaal: 673 g
  • Sari: Graduate Studies in Mathematics
  • Ilmumisaeg: 01-Nov-2015
  • Kirjastus: American Mathematical Society
  • ISBN-10: 1470418819
  • ISBN-13: 9781470418816
Teised raamatud teemal:
  • Formaat: Hardback, 280 pages, kõrgus x laius: 254x178 mm, kaal: 673 g
  • Sari: Graduate Studies in Mathematics
  • Ilmumisaeg: 01-Nov-2015
  • Kirjastus: American Mathematical Society
  • ISBN-10: 1470418819
  • ISBN-13: 9781470418816
Teised raamatud teemal:
This text on partial differential equations is intended for readers who want to understand the theoretical underpinnings of modern PDEs in settings that are important for the applications without using extensive analytic tools required by most advanced texts. The assumed mathematical background is at the level of multivariable calculus and basic metric space material, but the latter is recalled as relevant as the text progresses.

The key goal of this book is to be mathematically complete without overwhelming the reader, and to develop PDE theory in a manner that reflects how researchers would think about the material. A concrete example is that distribution theory and the concept of weak solutions are introduced early because while these ideas take some time for the students to get used to, they are fundamentally easy and, on the other hand, play a central role in the field. Then, Hilbert spaces that are quite important in the later development are introduced via completions which give essentially all the features one wants without the overhead of measure theory.

There is additional material provided for readers who would like to learn more than the core material, and there are numerous exercises to help solidify one's understanding. The text should be suitable for advanced undergraduates or for beginning graduate students including those in engineering or the sciences.
Preface ix
Chapter 1 Introduction
1(18)
§ 1 Preliminaries and notation
1(5)
§ 2 Partial differential equations
6(13)
Additional material: More on normed vector spaces and metric spaces
10(5)
Problems
15(4)
Chapter 2 Where do PDE come from?
19(10)
§ 1 An example: Maxwell's equations
19(2)
§ 2 Euler-Lagrange equations
21(8)
Problems
25(4)
Chapter 3 First order scalar semilinear equations
29(16)
Additional material: More on ODE and the inverse function theorem
38(5)
Problems
43(2)
Chapter 4 First order scalar quasilinear equations
45(10)
Problems
52(3)
Chapter 5 Distributions and weak derivatives
55(26)
Additional material: The space L1
68(6)
Problems
74(7)
Chapter 6 Second order constant coefficient PDE: Types and d'Alembert's solution of the wave equation
81(1)
§ 1 Classification of second order PDE
81(4)
§ 2 Solving second order hyperbolic PDE on R2
85(8)
Problems
90(3)
Chapter 7 Properties of solutions of second order PDE: Propagation, energy estimates and the maximum principle
93(20)
§ 1 Properties of solutions of the wave equation: Propagation phenomena
93(4)
§ 2 Energy conservation for the wave equation
97(3)
§ 3 The maximum principle for Laplace's equation and the heat equation
100(3)
§ 4 Energy for Laplace's equation and the heat equation
103(10)
Problems
108(5)
Chapter 8 The Fourier transform: Basic properties, the inversion formula and the heat equation
113(20)
§ 1 The definition and the basics
113(5)
§ 2 The inversion formula
118(3)
§ 3 The heat equation and convolutions
121(2)
§ 4 Systems of PDE
123(3)
§ 5 Integral transforms
126(7)
Additional material: A heat kernel proof of the Fourier inversion formula
127(3)
Problems
130(3)
Chapter 9 The Fourier transform: Tempered distributions, the wave equation and Laplace's equation
133(14)
§ 1 Tempered distributions
133(3)
§ 2 The Fourier transform of tempered distributions
136(2)
§ 3 The wave equation and the Fourier transform
138(2)
§ 4 More on tempered distributions
140(7)
Problems
141(6)
Chapter 10 PDE and boundaries
147(12)
§ 1 The wave equation on a half space
147(3)
§ 2 The heat equation on a half space
150(3)
§ 3 More complex geometries
153(1)
§ 4 Boundaries and properties of solutions
154(1)
§ 5 PDE on intervals and cubes
155(4)
Problems
157(2)
Chapter 11 Duhamel's principle
159(10)
§ 1 The inhomogeneous heat equation
159(4)
§ 2 The inhomogeneous wave equation
163(6)
Problems
167(2)
Chapter 12 Separation of variables
169(10)
§ 1 The general method
169(2)
§ 2 Interval geometries
171(2)
§ 3 Circular geometries
173(6)
Problems
176(3)
Chapter 13 Inner product spaces, symmetric operators, orthogonality
179(22)
§ 1 The basics of inner product spaces
179(8)
§ 2 Symmetric operators
187(4)
§ 3 Completeness of orthogonal sets and of the inner product space
191(10)
Problems
196(5)
Chapter 14 Convergence of the Fourier series and the Poisson formula on disks
201(20)
§ 1 Notions of convergence
201(2)
§ 2 Uniform convergence of the Fourier transform
203(3)
§ 3 What does the Fourier series converge to?
206(3)
§ 4 The Dirichlet problem on the disk
209(12)
Additional material: The Dirichlet kernel
214(3)
Problems
217(4)
Chapter 15 Bessel functions
221(14)
§ 1 The definition of Bessel functions
221(5)
§ 2 The zeros of Bessel functions
226(6)
§ 3 Higher dimensions
232(3)
Problems
233(2)
Chapter 16 The method of stationary phase
235(10)
Problems
243(2)
Chapter 17 Solvability via duality
245(18)
§ 1 The general method
245(5)
§ 2 An example: Laplace's equation
250(2)
§ 3 Inner product spaces and solvability
252(11)
Problems
260(3)
Chapter 18 Variational problems
263(14)
§ 1 The finite dimensional problem
263(3)
§ 2 The infinite dimensional minimization
266(11)
Problems
274(3)
Bibliography 277(2)
Index 279
Andras Vasy, Stanford University, CA, USA.