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 language | English (US) |
|---|---|
| Article number | e21256 |
| Journal | Random Structures and Algorithms |
| Volume | 66 |
| Issue number | 1 |
| DOIs | |
| State | Published - 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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