Approximation Theory and Harmonic Analysis on Spheres and Balls

Approximation Theory and Harmonic Analysis on Spheres and Balls

by Feng Dai

Part of Springer Monographs in Mathematics

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About
This monograph records progress in approximation theory and harmonic analysis on balls and spheres, and presents contemporary material that will be useful to analysts in this area. While the first part of the book contains mainstream material on the subject, the second and the third parts deal with more specialized topics, such as analysis in weight spaces with reflection invariant weight functions, and analysis on balls and simplexes. The last part of the book features several applications, including cubature formulas, distribution of points on the sphere, and the reconstruction algorithm in computerized tomography.This book is directed at researchers and advanced graduate students in analysis. Mathematicians who are familiar with Fourier analysis and harmonic analysis will understand many of the concepts that appear in this manuscript: spherical harmonics, the Hardy-Littlewood maximal function, the Marcinkiewicz multiplier theorem, the Riesz transform, and doubling weights are all familiar tools to researchers in this area.

Discussion questions for Approximation Theory and Harmonic Analysis on Spheres and Balls

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  1. 1

    How does the exploration of spherical harmonics in the opening chapters change your intuition about multidimensional spaces compared to the Euclidean spaces we encounter in everyday life?

  2. 2

    In what ways does the transition from mainstream material in the first part to the specialized weight spaces in the second part mirror the broader process of how a mathematician narrows down a complex problem?

  3. 3

    When studying the application of these theoretical concepts to computerized tomography in the final chapters, how do you bridge the gap between abstract mathematical purity and tangible, real-world imaging technologies?

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