Additive Combinatorics

Additive Combinatorics

by Terence Tao, Van H. Vu
ISBN-10:
0521136563
ISBN-13:
9780521136563
Pub. Date:
11/19/2009
Publisher:
Cambridge University Press
ISBN-10:
0521136563
ISBN-13:
9780521136563
Pub. Date:
11/19/2009
Publisher:
Cambridge University Press
Additive Combinatorics

Additive Combinatorics

by Terence Tao, Van H. Vu

Paperback

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Overview

Additive combinatorics is the theory of counting additive structures in sets. This theory has seen exciting developments and dramatic changes in direction in recent years thanks to its connections with areas such as number theory, ergodic theory and graph theory. This graduate-level 2006 text will allow students and researchers easy entry into this fascinating field. Here, the authors bring together in a self-contained and systematic manner the many different tools and ideas that are used in the modern theory, presenting them in an accessible, coherent, and intuitively clear manner, and providing immediate applications to problems in additive combinatorics. The power of these tools is well demonstrated in the presentation of recent advances such as Szemerédi's theorem on arithmetic progressions, the Kakeya conjecture and Erdos distance problems, and the developing field of sum-product estimates. The text is supplemented by a large number of exercises and new results.

Product Details

ISBN-13: 9780521136563
Publisher: Cambridge University Press
Publication date: 11/19/2009
Series: Cambridge Studies in Advanced Mathematics , #105
Edition description: New Edition
Pages: 532
Product dimensions: 6.00(w) x 8.90(h) x 1.00(d)

About the Author

Terence Tao is a Professor in the Department of Mathematics at the University of California, Los Angeles. He was awarded the Fields Medal in 2006 for his contributions to partial differential equations, combinatorics, harmonic analysis and additive number theory.

Van H. Vu is a Professor in the Department of Mathematics at Rutgers University, New Jersey.

Table of Contents

Prologue; 1. The probabilistic method; 2. Sum set estimates; 3. Additive geometry; 4. Fourier-analytic methods; 5. Inverse sum set theorems; 6. Graph-theoretic methods; 7. The Littlewood–Offord problem; 8. Incidence geometry; 9. Algebraic methods; 10. Szemerédi's theorem for k = 3; 11. Szemerédi's theorem for k > 3; 12. Long arithmetic progressions in sum sets; Bibliography; Index.
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