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Overview

Jeff Kahn is affiliated with Rutgers, The State University of New Jersey in the United States. Their research primarily spans the fields of Mathematics and Computer Science. Within these domains, their work focuses on several subfields, including Discrete Mathematics and Combinatorics, Computational Theory and Mathematics, Geometry and Topology, Statistics and Probability, and Mathematical Physics.

Their main research topics cover areas such as Limits and Structures in Graph Theory, Advanced Graph Theory Research, Graph theory and applications, Markov Chains and Monte Carlo Methods, Point processes and geometric inequalities, Advanced Topology and Set Theory, and Stochastic processes and statistical mechanics.

Jeff Kahn has a notable publication record with a significant number of contributions to journals and conference proceedings. They have published extensively in the following venues:

  • arXiv (Cornell University)
  • Proceedings of the American Mathematical Society
  • Random Structures and Algorithms
  • Annals of Mathematics
  • Advances in Mathematics

Among their recent papers are:

  • "Thresholds versus fractional expectation-thresholds" (2021), published in Annals of Mathematics
  • "Asymptotics for Shamir's problem" (2023), published in Advances in Mathematics
  • "The Number of Maximal Independent Sets in the Hamming Cube" (2022), published in COMBINATORICA
  • "An isoperimetric inequality for the Hamming cube and some consequences" (2020), published in Proceedings of the American Mathematical Society
  • "The threshold for the square of a Hamilton cycle" (2020), published in Proceedings of the American Mathematical Society

Jeff Kahn's frequent collaborators include:

  • Jinyoung Park
  • Quentin Dubroff
  • Bhargav Narayanan
  • Keith Frankston
  • Charles Kenney

Best Publications

  • The influence of variables on Boolean functions

    J. Kahn;G. Kalai;N. Linial

  • A counterexample to Borsuk's conjecture

    Jeff Kahn;Gil Kalai

  • Traditional Galleries Require Fewer Watchmen

    J. Kahn;M. Klawe;D. Kleitman

  • On the second eigenvalue of random regular graphs

    J. Friedman;J. Kahn;E. Szemerédi

  • An Entropy Approach to the Hard-Core Model on Bipartite Graphs

    Jeff Kahn

  • On the probability that a random ±1-matrix is singular

    Jeffry Kahn;Janos Komlos;Janos Komlos;Endre Szemerédi;Endre Szemerédi

  • A topological approach to evasiveness

    Jeff Kahn;Michael E. Saks;Dean Sturtevant

  • Asymptotically Good List-Colorings

    Jeff Kahn

  • Factors in random graphs

    Anders Johansson;Jeff Kahn;Van Vu

  • The influence of variables in product spaces

    Jean Bourgain;Jeff Kahn;Gil Kalai;Yitzhak Katznelson

  • On the cover time of random walks on graphs

    Jeff D. Kahn;Nathan Linial;Nathan Linial;Noam Nisan;Michael E. Saks;Michael E. Saks

  • On Phase Transition in the Hard-Core Model on ${\mathbb Z}^d$

    David Galvin;Jeff Kahn

  • Balancing poset extensions

    Jeffry Kahn;Jeffry Kahn;Michael Saks

  • Coloring nearly-disjoint hypergraphs with n + o(n) colors

    Jeff Kahn

  • Entropy and sorting

    Jeff Kahn;Jeong Han Kim

  • Thresholds and Expectation Thresholds

    Jeff Kahn;Gil Kalai

  • Entropy, independent sets and antichains: A new approach to Dedekind's problem

    Jeff Kahn

  • Left and right convergence of graphs with bounded degree

    Christian Borgs;Jennifer Chayes;Jeff Kahn;László Lovász

  • Inclusion-exclusion: Exact and approximate

    Jeffry Kahn;Nathan Linial;Alex Samorodnitsky

  • Asymptotics of the Chromatic Index for Multigraphs

    Jeff Kahn

Frequent Co-Authors

Gil Kalai
Gil Kalai Hebrew University of Jerusalem
Michael Saks
Michael Saks Rutgers, The State University of New Jersey
Zoltán Füredi
Zoltán Füredi University of Illinois at Urbana-Champaign
Nicholas C. Wormald
Nicholas C. Wormald Monash University
Eyal Lubetzky
Eyal Lubetzky Courant Institute of Mathematical Sciences
Paul Seymour
Paul Seymour Princeton University
Nathan Linial
Nathan Linial Hebrew University of Jerusalem
Christian Borgs
Christian Borgs University of California, Berkeley
Jean Bourgain
Jean Bourgain Institute for Advanced Study
Jennifer Chayes
Jennifer Chayes University of California, Berkeley

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