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Dive into the research topics where Gil Kalai is active.

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Featured researches published by Gil Kalai.


foundations of computer science | 1988

The influence of variables on Boolean functions

Jeff Kahn; Gil Kalai; Nathan Linial

Methods from harmonic analysis are used to prove some general theorems on Boolean functions. These connections with harmonic analysis viewed by the authors are very promising; besides the results on Boolean functions they enable them to prove theorems on the rapid mixing of the random walk on the cube and in the extremal theory of finite sets.<<ETX>>


Proceedings of the American Mathematical Society | 1996

Every monotone graph property has a sharp threshold

Ehud Friedgut; Gil Kalai

In their seminal work which initiated random graph theory Erdos and Renyi discovered that many graph properties have sharp thresholds as the number of vertices tends to infinity. We prove a conjecture of Linial that every monotone graph property has a sharp threshold. This follows from the following theorem. Let Vn(p) = {0, 1}n denote the Hamming space endowed with the probability measure μp defined by μp( 1, 2, . . . , n) = pk · (1 − p)n−k, where k = 1 + 2 + · · · + n. Let A be a monotone subset of Vn. We say that A is symmetric if there is a transitive permutation group Γ on {1, 2, . . . , n} such that A is invariant under Γ. Theorem. For every symmetric monotone A, if μp(A) > then μq(A) > 1− for q = p+ c1 log(1/2 )/ logn. (c1 is an absolute constant.)


Publications Mathématiques de l'IHÉS | 1999

Noise Sensitivity of Boolean Functions and Applications to Percolation

Itai Benjamini; Gil Kalai; Oded Schramm

It is shown that a large class of events in a product probability space are highly sensitive to noise, in the sense that with high probability, the configuration with an arbitrary small percent of random errors gives almost no prediction whether the event occurs. On the other hand, weighted majority functions are shown to be noise-stable. Several necessary and sufficient conditions for noise sensitivity and stability are given.


Inventiones Mathematicae | 1987

Rigidity and the lower bound theorem 1

Gil Kalai

SummaryFor an arbitrary triangulated (d-1)-manifold without boundaryC withf0 vertices andf1 edges, define


Bulletin of the American Mathematical Society | 1993

A counterexample to Borsuk's conjecture

Jeff Kahn; Gil Kalai


foundations of computer science | 2008

Elections Can be Manipulated Often

Ehud Friedgut; Gil Kalai; Noam Nisan

\gamma (C) = f_1 - df_0 + \left( {\begin{array}{*{20}c} {d + 1} \\ 2 \\ \end{array} } \right)


Israel Journal of Mathematics | 1992

The influence of variables in product spaces

Jean Bourgain; Jeff Kahn; Gil Kalai; Yitzhak Katznelson; Nathan Linial


Bulletin of the American Mathematical Society | 1992

A quasi-polynomial bound for the diameter of graphs of polyhedra

Gil Kalai; Daniel J. Kleitman

. Barnette proved that γ(C)≧0. We use the rigidity theory of frameworks and, in particular, results related to Cauchys rigidity theorem for polytopes, to give another proof for this result. We prove that ford≧4, if γ(C)=0 thenC is a triangulated sphere and is isomorphic to the boundary complex of a stacked polytope. Other results: (a) We prove a lower bound, conjectured by Björner, for the number ofk-faces of a triangulated (d-1)-manifold with specified numbers of interior vertices and boundary vertices. (b) IfC is a simply connected triangulatedd-manifold,d≧4, and γ(lk(v, C))=0 for every vertexv ofC, then γ(C)=0. (lk(v,C) is the link ofv inC.) (c) LetC be a triangulatedd-manifold,d≧3. Then Ske11(Δd+2) can be embedded in skel1 (C) iff γ(C)>0. (Δd is thed-dimensional simplex.) (d) IfP is a 2-simpliciald-polytope then


symposium on the theory of computing | 1992

A subexponential randomized simplex algorithm (extended abstract)

Gil Kalai


Archive | 2000

Polytopes : combinatorics and computation

Gil Kalai; Günter M. Ziegler

f_1 (P) \geqq df_0 (P) - \left( {\begin{array}{*{20}c} {d + 1} \\ 2 \\ \end{array} } \right)

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Ehud Friedgut

Hebrew University of Jerusalem

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Itai Benjamini

Weizmann Institute of Science

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Nathan Linial

Hebrew University of Jerusalem

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Anders Björner

Royal Institute of Technology

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Moshe Tennenholtz

Technion – Israel Institute of Technology

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Jean Bourgain

Institute for Advanced Study

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