Abstract

AbstractWe prove tight upper bounds on the logarithmic derivative of the independence and matching polynomials of ‐regular graphs. For independent sets, this theorem is a strengthening of the results of Kahn, Galvin and Tetali, and Zhao showing that a union of copies of maximizes the number of independent sets and the independence polynomial of a ‐regular graph.For matchings, this shows that the matching polynomial and the total number of matchings of a ‐regular graph are maximized by a union of copies of . Using this we prove the asymptotic upper matching conjecture of Friedland, Krop, Lundow, and Markström.In probabilistic language, our main theorems state that for all ‐regular graphs and all , the occupancy fraction of the hard‐core model and the edge occupancy fraction of the monomer‐dimer model with fugacity are maximized by . Our method involves constrained optimization problems over distributions of random variables and applies to all ‐regular graphs directly, without a reduction to the bipartite case.

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