Higher-order Fourier Analysis and Applications

被引:8
|
作者
Hatami, Hamed [1 ]
Hatami, Pooya [2 ]
Lovett, Shachar [3 ]
机构
[1] McGill Univ, Montreal, PQ, Canada
[2] Ohio State Univ, Columbus, OH 43210 USA
[3] Univ Calif San Diego, La Jolla, CA 92093 USA
来源
FOUNDATIONS AND TRENDS IN THEORETICAL COMPUTER SCIENCE | 2019年 / 13卷 / 04期
关键词
INVERSE CONJECTURE; GRAPH PROPERTIES; FINITE-FIELDS; GOWERS NORM; POLYNOMIALS; PROPERTY; EQUIVALENCE; COMPLEXITY; THEOREM; F-P(N);
D O I
10.1561/0400000064
中图分类号
TP301 [理论、方法];
学科分类号
081202 ;
摘要
Fourier analysis has been extremely useful in many areas of mathematics. In the last several decades, it has been used extensively in theoretical computer science. Higher-order Fourier analysis is an extension of the classical Fourier analysis, where one allows to generalize the "linear phases" to higher degree polynomials. It has emerged from the seminal proof of Cowers of Szemeredi's theorem with improved quantitative bounds, and has been developed since, chiefly by the number theory community. In parallel, it has found applications also in theoretical computer science, mostly in algebraic property testing, coding theory and complexity theory. The purpose of this book is to lay the foundations of higher-order Fourier analysis, aimed towards applications in theoretical computer science with a focus on algebraic property testing.
引用
收藏
页码:247 / 448
页数:202
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