Sublinear-Time Algorithms for Monomer-Dimer Systems on Bounded Degree Graphs
Marc Lelarge, Hang Zhou

TL;DR
This paper introduces a sublinear-time algorithm for estimating the partition function of monomer-dimer systems on bounded degree graphs, enabling efficient analysis of large graphs with provable accuracy.
Contribution
It presents the first sublinear-time approximation algorithm for a #P-complete problem, leveraging correlation decay to estimate partition functions and related properties.
Findings
Algorithm's query complexity is independent of graph size
Achieves additive error approximation with polynomial complexity in 1/ε
Provides a lower bound quadratic in 1/ε for the problem
Abstract
For a graph , let be the partition function of the monomer-dimer system defined by , where is the number of matchings of size in . We consider graphs of bounded degree and develop a sublinear-time algorithm for estimating at an arbitrary value within additive error with high probability. The query complexity of our algorithm does not depend on the size of and is polynomial in , and we also provide a lower bound quadratic in for this problem. This is the first analysis of a sublinear-time approximation algorithm for a # P-complete problem. Our approach is based on the correlation decay of the Gibbs distribution associated with . We show that our algorithm approximates the probability for a vertex to be covered by a matching, sampled according…
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Taxonomy
TopicsMarkov Chains and Monte Carlo Methods · Complexity and Algorithms in Graphs · Bayesian Modeling and Causal Inference
