Moser-Tardos Algorithm: Beyond Shearer's Bound
Kun He, Qian Li, and Xiaoming Sun

TL;DR
This paper extends the known efficiency bounds of the Moser-Tardos algorithm beyond Shearer's bound for non-chordal dependency graphs by introducing a new criterion that considers event intersections, thus broadening the algorithm's applicability.
Contribution
It introduces a new efficiency criterion for the Moser-Tardos algorithm that surpasses Shearer's bound in non-chordal graphs, supported by explicit calculations on infinite lattices.
Findings
The efficient region exceeds Shearer's bound for non-chordal graphs.
The new criterion accounts for intersections between dependent events.
In chordal graphs, Shearer's bound remains tight.
Abstract
In a seminal paper (Moser and Tardos, JACM'10), Moser and Tardos developed a simple and powerful algorithm to find solutions to combinatorial problems in the variable Lov{\'a}sz Local Lemma (LLL) setting. Kolipaka and Szegedy (STOC'11) proved that the Moser-Tardos algorithm is efficient up to the tight condition of the abstract Lov{\'a}sz Local Lemma, known as Shearer's bound. A fundamental problem around LLL is whether the efficient region of the Moser-Tardos algorithm can be further extended. In this paper, we give a positive answer to this problem. We show that the efficient region of the Moser-Tardos algorithm goes beyond the Shearer's bound of the underlying dependency graph, if the graph is not chordal. Otherwise, the dependency graph is chordal, and it has been shown that Shearer's bound exactly characterizes the efficient region for such graphs (Kolipaka and Szegedy, STOC'11;…
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Taxonomy
TopicsAdvanced Combinatorial Mathematics · Advanced Graph Theory Research · Markov Chains and Monte Carlo Methods
