Number theory, Fourier analysis and geometric discrepancy
Author(s)
Bibliographic Information
Number theory, Fourier analysis and geometric discrepancy
（London Mathematical Society student texts, 81）
Cambridge University Press, 2014
- : hardback
- : pbk
Available at / 27 libraries
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Hokkaido University, Library, Graduate School of Science, Faculty of Science and School of Science数学
: hardback/T 6972080348753
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Note
Includes bibliographical references (p. 229-237) and index
Description and Table of Contents
Description
The study of geometric discrepancy, which provides a framework for quantifying the quality of a distribution of a finite set of points, has experienced significant growth in recent decades. This book provides a self-contained course in number theory, Fourier analysis and geometric discrepancy theory, and the relations between them, at the advanced undergraduate or beginning graduate level. It starts as a traditional course in elementary number theory, and introduces the reader to subsequent material on uniform distribution of infinite sequences, and discrepancy of finite sequences. Both modern and classical aspects of the theory are discussed, such as Weyl's criterion, Benford's law, the Koksma-Hlawka inequality, lattice point problems, and irregularities of distribution for convex bodies. Fourier analysis also features prominently, for which the theory is developed in parallel, including topics such as convergence of Fourier series, one-sided trigonometric approximation, the Poisson summation formula, exponential sums, decay of Fourier transforms, and Bessel functions.
Table of Contents
- Part I. Elementary Number Theory: 1. Prelude
- 2. Arithmetic functions and integer points
- 3. Congruences
- 4. Quadratic reciprocity and Fourier series
- 5. Sums of squares
- Part II. Fourier Analysis and Geometric Discrepancy: 6. Uniform distribution and completeness of the trigonometric system
- 7. Discrepancy and trigonometric approximation
- 8. Integer points and Poisson summation formula
- 9. Integer points and exponential sums
- 10. Geometric discrepancy and decay of Fourier transforms
- 11. Discrepancy in high dimension and Bessel functions
- References
- Index.
by "Nielsen BookData"