Benny Sudakov

ORCID: 0000-0003-3307-9475
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About
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Research Areas
  • Limits and Structures in Graph Theory
  • Advanced Graph Theory Research
  • Graph theory and applications
  • Advanced Topology and Set Theory
  • graph theory and CDMA systems
  • Graph Labeling and Dimension Problems
  • Complexity and Algorithms in Graphs
  • Finite Group Theory Research
  • Stochastic processes and statistical mechanics
  • Mathematical Approximation and Integration
  • Analytic Number Theory Research
  • Algorithms and Data Compression
  • Digital Image Processing Techniques
  • Markov Chains and Monte Carlo Methods
  • semigroups and automata theory
  • Coding theory and cryptography
  • Computability, Logic, AI Algorithms
  • Computational Geometry and Mesh Generation
  • Optimization and Search Problems
  • Complex Network Analysis Techniques
  • Point processes and geometric inequalities
  • Interconnection Networks and Systems
  • VLSI and FPGA Design Techniques
  • Cellular Automata and Applications
  • Sparse and Compressive Sensing Techniques

ETH Zurich
2016-2025

Cambridge University Press
2015-2024

Kinokuniya
2015-2024

New York University Press
2015-2024

Hudson Institute
2016-2023

Princeton University
2001-2022

Institute for Advanced Study
2001-2022

Albert Einstein College of Medicine
2022

California Institute of Technology
2020-2022

Stanford University
2018-2022

We consider the following probabilistic model of a graph on n labeled vertices. First choose random G(n, 1/2), and then randomly subset Q vertices size k force it to be clique by joining every pair an edge. The problem is give polynomial time algorithm for finding this hidden almost surely various values k. This question was posed independently, in variants, Jerrum Kučera. In paper we present efficient all k>cn0.5, any fixed c>0, thus improving trivial case k>cn0.5(log n)0.5. based spectral...

10.1002/(sici)1098-2418(199810/12)13:3/4<457::aid-rsa14>3.0.co;2-w article EN Random Structures and Algorithms 1998-10-01

We prove that, for all values of the edge probability $p(n)$, largest eigenvalue random graph $G(n, p)$ satisfies almost surely $\lambda_1(G)=(1+o(1))\max\{\sqrt{\Delta}, np\}$, where Δ is maximum degree $G$, and o(1) term tends to zero as $\max\{\sqrt{\Delta}, np\}$ infinity.

10.1017/s0963548302005424 article EN Combinatorics Probability Computing 2003-01-01

More than forty years ago, Erdős conjectured that for any $t \leq \frac{n}{k}$ , every k -uniform hypergraph on n vertices without t disjoint edges has at most max ${\binom{kt-1}{k}, \binom{n}{k}-\binom{n-t+1}{k}\}$ edges. Although this appears to be a basic instance of the Turán problem (with -edge matching as excluded hypergraph), progress question remained elusive. In paper, we verify conjecture all &lt; \frac{n}{3k^2}$ . This improves upon best previously known range =...

10.1017/s096354831100068x article EN Combinatorics Probability Computing 2012-01-20

Abstract The classical result of Erdős and Rényi asserts that the random graph G ( n , p ) experiences sharp phase transition around \documentclass{article}\usepackage{mathrsfs}\usepackage{amsmath}\pagestyle{empty}\begin{document}\begin{align*}p=\frac{1}{n}\end{align*} \end{document} – for any ε &gt; 0 \documentclass{article}\usepackage{mathrsfs}\usepackage{amsmath}\pagestyle{empty}\begin{document}\begin{align*}p=\frac{1-\epsilon}{n}\end{align*} all connected components are typically size O...

10.1002/rsa.20470 article EN Random Structures and Algorithms 2012-09-24

ABSTRACT For , the Erdős–Rogers function measures how large a ‐free induced subgraph there must be in graph on vertices. There has been an extensive amount of work towards estimating this function, but until very recently only case was well understood. A recent breakthrough Mattheus and Verstraëte Ramsey number states that which matches known lower bound up to term. In paper we build their approach generalize result by proving holds for every . This comes close best bound, improves...

10.1002/rsa.21280 article EN cc-by Random Structures and Algorithms 2025-01-01

For a graph H and an integer n , the Turán number is maximum possible of edges in simple on vertices that contains no copy . r -degenerate if every one its subgraphs vertex degree at most We prove that, for any fixed bipartite which all degrees colour class are This tight values can also be derived from earlier result Füredi. show there absolute positive constant c such motivated by conjecture Erdős asserts two graphs G Ramsey minimum colouring complete red blue, either or blue conjectured...

10.1017/s0963548303005741 article EN Combinatorics Probability Computing 2003-11-01

Abstract We describe a simple and yet surprisingly powerful probabilistic technique which shows how to find in dense graph large subset of vertices all (or almost all) small subsets have many common neighbors. Recently this has had several striking applications Extremal Graph Theory, Ramsey Additive Combinatorics, Combinatorial Geometry. In survey we discuss some them. © 2010 Wiley Periodicals, Inc. Random Struct. Alg., 2011

10.1002/rsa.20344 article EN Random Structures and Algorithms 2010-11-05

The Ramsey number <inline-formula content-type="math/mathml"> <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" alttext="r Subscript k Baseline left-parenthesis s comma n right-parenthesis"> <mml:semantics> <mml:mrow> <mml:msub> <mml:mi>r</mml:mi> <mml:mi>k</mml:mi> </mml:msub> <mml:mo stretchy="false">(</mml:mo> <mml:mi>s</mml:mi> <mml:mo>,</mml:mo> <mml:mi>n</mml:mi> stretchy="false">)</mml:mo> </mml:mrow> <mml:annotation encoding="application/x-tex">r_k(s,n)</mml:annotation>...

10.1090/s0894-0347-09-00645-6 article EN publisher-specific-oa Journal of the American Mathematical Society 2009-08-18

A beautiful conjecture of Erdős-Simonovits and Sidorenko states that, if H is a bipartite graph, then the random graph with edge density p has in expectation asymptotically minimum number copies over all graphs same order density. This also an equivalent analytic form connections to broad range topics, such as matrix theory, Markov chains, limits, quasirandomness. Here we prove vertex complete other part, deduce approximate version for H. Furthermore, large class graphs, stronger stability...

10.1007/s00039-010-0097-0 article EN cc-by-nc Geometric and Functional Analysis 2010-10-19

Abstract A classical theorem of Dirac from 1952 asserts that every graph on n vertices with minimum degree at least \documentclass{article} \usepackage{mathrsfs} \usepackage{amsmath} \pagestyle{empty} \begin{document} \begin{align*}\left\lceil n/2 \right\rceil\end{align*} \end{document} is Hamiltonian. In this paper we extend result to random graphs. Motivated by the study resilience properties prove if p ≫ log / , then a.a.s. subgraph G ( ) (1/2 + o (1) Our improves previously known bounds,...

10.1002/rsa.20419 article EN Random Structures and Algorithms 2012-04-03

We show that for any fixed dense graph $G$ and bounded-degree tree $T$ on the same number of vertices, a modest random perturbation will typically contain copy $T$. This combines viewpoints well-studied problems embedding trees into graphs graphs, extends sizable body existing research randomly perturbed graphs. Specifically, we there is $c=c(\alpha,\Delta)$ such if an $n$-vertex with minimum degree at least $\alpha n$, maximum most $\Delta$, then add $cn$ uniformly edges to $G$, resulting...

10.1137/15m1032910 article EN SIAM Journal on Discrete Mathematics 2017-01-01

10.1006/jctb.1999.1910 article EN publisher-specific-oa Journal of Combinatorial Theory Series B 1999-09-01

Abstract A proper coloring of the edges a graph G is called acyclic if there no 2‐colored cycle in . The edge chromatic number , denoted by a′ ( ), least colors an For certain graphs ) ≥ Δ( + 2 where maximum degree It known that ≤ 16 for any We prove exists constant c such whose girth at log and conjecture this upper bound holds all also show Δ almost Δ‐regular graphs. © 2001 John Wiley &amp; Sons, Inc. J Graph Theory 37: 157–167,

10.1002/jgt.1010 article EN Journal of Graph Theory 2001-06-07

Abstract Random d ‐regular graphs have been well studied when is fixed and the number of vertices goes to infinity. We obtain results on many properties a random graph = ( n ) grows more quickly than $\sqrt{n}$ . These include connectivity, hamiltonicity, independent set size, chromatic number, choice size second eigenvalue, among others. ©2001 John Wiley &amp; Sons, Inc. Struct. Alg., 18: 346–363, 2001.

10.1002/rsa.1013 article EN Random Structures and Algorithms 2001-06-20

We consider the following probabilistic model of a graph on n labeled vertices. . First choose random Gn ,1 r 2 ,and then randomly subset Q vertices size k and force it to be clique by joining every pair an edge. The problem is give polynomial time algorithm for finding this hidden almost surely various values k. This question was posed independently, in variants, Jerrum Kucera. In paper we present efficient all ) cn 0.5 , ˇ any fixed c 0, thus improving trivial case log based spectral...

10.5555/314613.315014 article EN Symposium on Discrete Algorithms 1998-01-01

A distribution X over binary strings of length n has min-entropy k if every string probability at most 2-k in X. We say that is a δ-source its rate k⁄n least δ.We give the following new explicit instructions (namely, poly(n)- time computable functions) deterministicextractors, dispersers and related objects. All work for any fixed δ>0. No previous construction was known either these, δ‹1⁄2. The first two constitute major progress to very long-standing open problems.

10.1145/1060590.1060592 article EN 2005-05-22

Abstract In this article, we initiate a systematic study of graph resilience. The (local) resilience G with respect to property $\cal {P}$ measures how much one has change (locally) destroy . Estimating the leads many new and challenging problems. Here focus on random pseudorandom graphs prove several sharp results. © 2008 Wiley Periodicals, Inc. Random Struct. Alg.,

10.1002/rsa.20235 article EN Random Structures and Algorithms 2008-08-29
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