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Central limit theorem in disordered Monomer-Dimer model

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Abstract

We consider the disordered monomer-dimer model on general finite graphs with bounded degrees. Under the finite fourth moment assumption on the weight distributions, we prove a Gaussian central limit theorem for the free energy of the associated Gibbs measure with a rate of convergence. The central limit theorem continues to hold under a nearly optimal finite (Formula presented.) -moment assumption on the weight distributions if the underlying graphs are further assumed to have a uniformly subexponential volume growth. This generalizes a recent result by Dey and Krishnan who showed a Gaussian central limit theorem in the disordered monomer-dimer model on cylinder graphs. Our proof relies on the idea that the disordered monomer-dimer model exhibits a decay of correlation with high probability. We also establish a central limit theorem for the Gibbs average of the number of dimers where the underlying graph has subexponential volume growth and the edge weights are Gaussians.

Original languageEnglish (US)
Article numbere21256
JournalRandom Structures and Algorithms
Volume66
Issue number1
DOIs
StatePublished - Jan 2025

Bibliographical note

Publisher Copyright:
© 2024 The Author(s). Random Structures & Algorithms published by Wiley Periodicals LLC.

Keywords

  • Gibbs measure
  • central limit theorem
  • correlation decay
  • random weighted matching

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