1,657 research outputs found
An approximate version of Sidorenko's conjecture
A beautiful conjecture of Erd\H{o}s-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.Comment: 12 page
Asymptotic Structure of Graphs with the Minimum Number of Triangles
We consider the problem of minimizing the number of triangles in a graph of
given order and size and describe the asymptotic structure of extremal graphs.
This is achieved by characterizing the set of flag algebra homomorphisms that
minimize the triangle density.Comment: 22 pages; 2 figure
The step Sidorenko property and non-norming edge-transitive graphs
Sidorenko's Conjecture asserts that every bipartite graph H has the Sidorenko
property, i.e., a quasirandom graph minimizes the density of H among all graphs
with the same edge density. We study a stronger property, which requires that a
quasirandom multipartite graph minimizes the density of H among all graphs with
the same edge densities between its parts; this property is called the step
Sidorenko property. We show that many bipartite graphs fail to have the step
Sidorenko property and use our results to show the existence of a bipartite
edge-transitive graph that is not weakly norming; this answers a question of
Hatami [Israel J. Math. 175 (2010), 125-150].Comment: Minor correction on page
Extremes of the internal energy of the Potts model on cubic graphs
We prove tight upper and lower bounds on the internal energy per particle
(expected number of monochromatic edges per vertex) in the anti-ferromagnetic
Potts model on cubic graphs at every temperature and for all . This
immediately implies corresponding tight bounds on the anti-ferromagnetic Potts
partition function.
Taking the zero-temperature limit gives new results in extremal
combinatorics: the number of -colorings of a -regular graph, for any , is maximized by a union of 's. This proves the case of a
conjecture of Galvin and Tetali
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