An Approximate Version of Sidorenko’s Conjecture

By David Conlon, Jacob Fox, Benny Sudakov. 2010

132 citations recorded by the source corpus.

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 the minimum number of copies of H over all graphs of the same order and edge density. This conjecture also has an equivalent analytic form and has connections to a broad range of topics, such as matrix theory, Markov chains, graph limits, and quasirandomness. Here we prove the conjecture if H has a vertex complete to the other part, and deduce an approximate version of the conjecture for all H. Furthermore, for a large class of bipartite graphs, we prove a stronger stability result which answers a question of Chung, Graham, and Wilson on quasirandomness for these graphs.

Subfields: Computational Theory and Mathematics, Discrete Mathematics and Combinatorics, Geometry and Topology

View Paper: https://www.semanticscholar.org/paper/1d97d7901c992a94ecdebbaf9eb2b8459815360e

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In Computational Theory and Mathematics

  1. David Conlon
  2. Mathias Schacht
  3. Joonkyung Lee
  4. Wojciech Samotij
  5. Peter Keevash
  6. L. Lov'asz
  7. William T. Gowers
  8. Miklós Simonovits

In Discrete Mathematics and Combinatorics

  1. David Conlon
  2. Wojciech Samotij
  3. Mathias Schacht
  4. Peter Keevash
  5. L. Lov'asz
  6. Joonkyung Lee
  7. William T. Gowers
  8. Miklós Simonovits

In Geometry and Topology

  1. David Conlon
  2. Wojciech Samotij
  3. Joonkyung Lee
  4. L. Lov'asz
  5. Mathias Schacht
  6. William T. Gowers
  7. Miklós Simonovits
  8. Z. Furedi

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