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Recent Applications of Harmonic Analysis to Function Spaces, Differential Equations, and Data Science

Novel Methods in Harmonic Analysis, Volume 2

  • Book
  • © 2017

Overview

  • Exhibits several recently discovered links between traditional harmonic analysis and modern ideas in areas such as Riemannian geometry and sheaf theory
  • Contains both deep theoretical results and innovative applications to various fields such as medical imagine and data science
  • Only publication of its kind extending classical harmonic analysis to manifolds, graphs, and other general structures
  • Comprised of original research and survey papers from well-known experts
  • Includes supplementary material: sn.pub/extras

Part of the book series: Applied and Numerical Harmonic Analysis (ANHA)

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Table of contents (16 chapters)

  1. Fourier Analysis, Its Generalizations and Applications

  2. Analysis on Non-Euclidean Spaces

  3. Harmonic Analysis and Differential Equations

  4. Harmonic Analysis for Data Science

Keywords

About this book

The second of a two volume set on novel methods in harmonic analysis, this book draws on a number of original research and survey papers from well-known specialists detailing the latest innovations and recently discovered links between various fields. Along with many deep theoretical results, these volumes contain numerous applications to problems in signal processing, medical imaging, geodesy, statistics, and data science. 


The chapters within cover an impressive range of ideas from both traditional and modern harmonic analysis, such as: the Fourier transform, Shannon sampling, frames, wavelets, functions on Euclidean spaces, analysis on function spaces of Riemannian and sub-Riemannian manifolds, Fourier analysis on manifolds and Lie groups, analysis on combinatorial graphs, sheaves, co-sheaves, and persistent homologies on topological spaces. 


Volume II is organized around the theme of recent applications of harmonic analysis to function spaces, differential equations, and data science, covering topics such as:
  • The classical Fourier transform, the non-linear Fourier transform (FBI transform), cardinal sampling series and translation invariant linear systems.
  • Recent results concerning harmonic analysis on non-Euclidean spaces such as graphs and partially ordered sets.
  • Applications of harmonic analysis to data science and statistics
  • Boundary-value problems for PDE's  including  the Runge–Walsh theorem for the oblique derivative problem of physical geodesy.






Editors and Affiliations

  • Department of Mathematics, Temple University, Philadelphia, USA

    Isaac Pesenson

  • School of Mathematics and Statistics, University of New South Wales, Sydney, Australia

    Quoc Thong Le Gia

  • Department of Mathematics, The Graduate Center, CUNY, New York, USA

    Azita Mayeli

  • Institute of Mathematical Sciences, Claremont Graduate University, Claremont, USA

    Hrushikesh Mhaskar

  • Department of Mathematics, City University of Hong Kong, Kowloon Tong, Hong Kong

    Ding-Xuan Zhou

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