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Combinatorics: Methods and Applications in Mathematics and Computer Science

Workshop IV: Analytical Methods in Combinatorics, Additive Number Theory and Computer Science

December 1 - 4, 2009

Organizing Committee | Scientific Overview | Speaker List

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Organizing Committee

Irit Dinur (Weizmann Institute of Science)
Ben Green (University of Cambridge)
Gil Kalai (Hebrew University, Institute of Mathematics)
Alex Samorodnitsky (Hebrew University)
Terence Tao (University of California, Los Angeles (UCLA), Mathematics)
Van Vu (Rutgers University)

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Scientific Overview

Recently the applications of analytical tools, in particular methods of harmonic analysis and spectral techniques, lead to several major breakthroughs on problems in combinatorics, Discrete Probability, Additive Number Theory and Computer Science. In additive combinatorics there has been much progress in understanding the combinatorial structures arising from arithmetic operations, using techniques from Fourier analysis. It started with the new proofs of Freiman's structure theorem and Szemeredi's theorem on arithmetic progressions that are more efficient and easier to understand than the original ones, culminating with the recent result of Green and Tao on arithmetic progressions of primes. In yet another exciting development Bourgain gave non-trivial estimates for short exponential sums, the question that withstood all previous attempts to solve it.

In computer science Kahn, Kalai and Linial were the first to use harmonic analysis and in particular hypercontractive inequalities to prove some general theorems on boolean functions. Over the years this approach proved itself to be very fruitful leading to numerous results on the complexity of boolean functions, hardness of approximation, lower bounds on distortion for metric embeddings and new results in extremal set theory. Analytical tools were also used efficiently to study the so called threshold phenomena in various random systems. This is a setting when the probability of some event changes rapidly from zero to one as some underlying parameters change. This phenomenon plays an important role in discrete probability, statistical physics, computer science and economics.

This workshop will focus on the interplay between Combinatorics, Discrete Probability, Additive Number Theory and Computer Science with emphasis on a wide spectrum of analytical tools that are used there. One of the declared aims of the workshop is to foster interaction between researchers in these areas, discuss recent progress and communicate new results and ideas. We would also like to utilize this forum to make the state-of-the-art analytical techniques accessible to a broader audience, in particular graduate students.

This workshop will include a poster session; a request for posters will be sent to registered participants in advance of the workshop.

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Confirmed Speakers

Jean Bourgain (Institute for Advanced Study)
Ernest Croot (Georgia Institute of Technology)
Ben Green (University of Cambridge)
Derrick Hart (Rutgers University)
Hamed Hatami (McGill University)
Nets Katz (Indiana University)
Subhash Khot (New York University)
Shachar Lovett (Weizmann Institute of Science)
Assaf Naor (New York University)
Hoi Nguyen (Rutgers University)
Alex Samorodnitsky (Hebrew University)
Tom Sanders (University of Cambridge)
Madhu Sudan (Microsoft Research New England)
Terence Tao (University of California, Los Angeles (UCLA))
Luca Trevisan (University of California, Berkeley (UC Berkeley))
Avi Wigderson (Institute for Advanced Study)
Julia Wolf (Rutgers University)
Trevor Wooley (University of Bristol)

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Contact Us:

Institute for Pure and Applied Mathematics (IPAM)
Attn: CMAWS4
460 Portola Plaza
Los Angeles CA 90095-7121
Phone: 310 825-4755
Fax: 310 825-4756
Email: ipam@ucla.edu
Website: http://www.ipam.ucla.edu/programs/cmaws4/

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