Partial Differential Equations

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A01=M. W. Wong
advanced partial differential equations
Author_M. W. Wong
Bessel Potential
Category=PBKJ
Dirichlet Problem
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Fourier Inversion Formula
Fourier transform
Fourth Order Partial Differential Equation
functional analysis
graduate mathematics
Heat Semigroup
Heisenberg Group
Hermite Functions
Hermite Operator
Holomorphic Function
hypoelliptic equations
kernel methods
Lebesgue's Dominated Convergence Theorem
Left Invariant Vector Fields
Leibniz Formula
Lie Algebra
Linear Partial Differential Operators
mathematical analysis
Mehler's Formula
Meromorphic Function
methods based on Fourier analysis
Newtonian Potential
Partial Differential Equation
Partial Differential Operators
PDEs important in physics
Plancherel Formula
Plancherel Theorem
Poisson Kernel
Riemann Zeta Function
Schwartz Function
Schwartz Space
Second-order equations governed by the Laplacian
solutions of PDEs
spectral theory
sub-Laplacian on the Heisenberg group

Product details

  • ISBN 9781032073163
  • Weight: 400g
  • Dimensions: 156 x 234mm
  • Publication Date: 19 Aug 2022
  • Publisher: Taylor & Francis Ltd
  • Publication City/Country: GB
  • Product Form: Hardback
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Partial Differential Equations: Topics in Fourier Analysis, Second Edition explains how to use the Fourier transform and heuristic methods to obtain significant insight into the solutions of standard PDE models. It shows how this powerful approach is valuable in getting plausible answers that can then be justified by modern analysis.

Using Fourier analysis, the text constructs explicit formulas for solving PDEs governed by canonical operators related to the Laplacian on the Euclidean space. After presenting background material, it focuses on: Second-order equations governed by the Laplacian on Rn; the Hermite operator and corresponding equation; and the sub-Laplacian on the Heisenberg group

Designed for a one-semester course, this text provides a bridge between the standard PDE course for undergraduate students in science and engineering and the PDE course for graduate students in mathematics who are pursuing a research career in analysis. Through its coverage of fundamental examples of PDEs, the book prepares students for studying more advanced topics such as pseudo-differential operators. It also helps them appreciate PDEs as beautiful structures in analysis, rather than a bunch of isolated ad-hoc techniques.

New to the Second Edition

  • Three brand new chapters covering several topics in analysis not explored in the first edition
  • Complete revision of the text to correct errors, remove redundancies, and update outdated material
  • Expanded references and bibliography
  • New and revised exercises.

M. W. Wong is a professor in and former chair of the Department of Mathematics and Statistics at York University in Toronto, Canada. From 2005 to 2009, he was president of the International Society for Analysis, its Applications and Computations (ISAAC).

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