Sidorenko's Conjecture
Canonical statement
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For every finite bipartite graph \(H\) and every symmetric
measurable \(W:[0,1]^2\to[0,1]\),
\[
t(H,W):=
\int_{[0,1]^{V(H)}}\prod_{uv\in E(H)}
W(x_u,x_v)\,\prod_{v\in V(H)}dx_v
\ \geq\
\left(\int_{[0,1]^2}W(x,y)\,dx\,dy\right)^{|E(H)|}.
\]Notes
Sidorenko's conjecture is a correlation inequality for bipartite graphs, formulated in Sidorenko's work of the late 1980s and early 1990s [Sidorenko1993]. In graphon language it asserts that for every finite bipartite graph and every symmetric measurable , the homomorphism density satisfies , where is the edge density of . Informally, among graphs of a given edge density, quasirandom graphs asymptotically minimize the number of copies of any fixed bipartite graph.
The inequality is classical for trees, even cycles, and complete bipartite graphs, and it has been verified for many further bipartite families under additional structural hypotheses. Conlon, Fox, and Sudakov proved an approximate version of the conjecture [ConlonFoxSudakov2010Sidorenko].
No argument is known that covers every bipartite , and the conjecture remains open in general.
References (2)
- [Sidorenko1993]
A correlation inequality for bipartite graphs
Open ↗Alexander F. Sidorenko · 1993 · misc
- [ConlonFoxSudakov2010Sidorenko]
An approximate version of Sidorenko's conjecture
Open ↗David Conlon and Jacob Fox and Benny Sudakov · 2010 · misc
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