Name: Locally Convex Spaces and Harmonic Analysis. An Introduction (en Inglés)
SKU: 67260895
Price: 93910.00 CLP
Availability: InStock
Author: Philippe G. Ciarlet
ISBN: 9781611976649

portada Locally Convex Spaces and Harmonic Analysis. An Introduction (en Inglés)

Locally Convex Spaces and Harmonic Analysis. An Introduction (en Inglés)

Formato

Libro Físico

Editorial

SIAM - Society for Industrial and Applied Mathematics

Autor

Philippe G. Ciarlet

Colección

Other Titles in Applied Mathematics

Año

2021

Idioma

Inglés

N° páginas

195

Encuadernación

Tapa Blanda

ISBN13

9781611976649

Locally Convex Spaces and Harmonic Analysis. An Introduction (en Inglés)

Philippe G. Ciarlet (Autor) · SIAM - Society for Industrial and Applied Mathematics · Tapa Blanda

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Reseña del libro "Locally Convex Spaces and Harmonic Analysis. An Introduction (en Inglés)"

This self-contained textbook covers the fundamentals of two basic topics of linear functional analysis: locally convex spaces and harmonic analysis. Readers will find detailed introductions to topological vector spaces, distribution theory, weak topologies, Fourier transform, Hilbert transform, and Calderon-Zygmund singular integrals.

This self-contained textbook covers the fundamentals of two basic topics of linear functional analysis: locally convex spaces and harmonic analysis. Readers will find detailed introductions to topological vector spaces, distribution theory, weak topologies, Fourier transform, Hilbert transform, and Calderon-Zygmund singular integrals. An ideal introduction to more advanced texts, the book complements Ciarlet's Linear and Nonlinear Functional Analysis with Applications (SIAM), where the titular topics were not treated. Pedagogical features such as detailed theorems and 93 problems make the book ideal for a one-semester first-year graduate course or for self-study.

The book is intended for advanced undergraduates and first-year graduate students and researchers. It is appropriate for the following courses: Advanced Numerical Analysis, Special Topics on Numerical Analysis, Topics on Data Science, Topics on Numerical Optimization, and Topics on Approximation Theory