Fourier Series in Several Variables with Applications to Partial Differential Equations

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A01=Victor Shapiro
advanced mathematics
Author_Victor Shapiro
Bochner's Theorem
Bochner’s Theorem
Category=PBH
Category=PBKF
Category=PBKJ
Category=PBW
combination
Complete Orthogonal System
constant
definiteness
Discrete Geometry
Double Sum
eq_isMigrated=1
eq_isMigrated=2
eq_nobargain
finite
Finite Linear Combination
function
functions
Gegenbauer Polynomials
harmonic
harmonic analysis
linear
mathematical physics
nonlinear equations
Nonnegative Integer
Parameter Subgroup
Positive Constant
Positive Definite
Positive Definite Functions
reaction diffusion systems
resonance theory
spherical
Spherical Coordinate System
Spherical Harmonic Functions
Spherical Harmonics
stationary Navier-Stokes solutions
Sufficiency Condition
Surface Spherical Harmonics

Product details

  • ISBN 9780367382926
  • Weight: 607g
  • Dimensions: 178 x 254mm
  • Publication Date: 23 Oct 2019
  • Publisher: Taylor & Francis Ltd
  • Publication City/Country: GB
  • Product Form: Paperback
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Fourier Series in Several Variables with Applications to Partial Differential Equations illustrates the value of Fourier series methods in solving difficult nonlinear partial differential equations (PDEs). Using these methods, the author presents results for stationary Navier-Stokes equations, nonlinear reaction-diffusion systems, and quasilinear elliptic PDEs and resonance theory. He also establishes the connection between multiple Fourier series and number theory.

The book first presents four summability methods used in studying multiple Fourier series: iterated Fejer, Bochner-Riesz, Abel, and Gauss-Weierstrass. It then covers conjugate multiple Fourier series, the analogue of Cantor’s uniqueness theorem in two dimensions, surface spherical harmonics, and Schoenberg’s theorem. After describing five theorems on periodic solutions of nonlinear PDEs, the text concludes with solutions of stationary Navier-Stokes equations.

Discussing many results and studies from the literature, this book demonstrates the robust power of Fourier analysis in solving seemingly impenetrable nonlinear problems.

Victor L. Shapiro is a Distinguished Professor Emeritus in the Department of Mathematics at the University of California, Riverside, where he has taught for 46 years. He earned his Ph.D. from the University of Chicago and completed postdoctoral work at the Institute for Advanced Study, where he was an NSF fellow.

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