A new notion of commutativity for the algorithmic Lovász Local Lemma

Fuente: arXiv
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Autores principales: Harris, David G., Iliopoulos, Fotis, Kolmogorov, Vladimir
Formato: Preprint
Publicado: 2020
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author Harris, David G.
Iliopoulos, Fotis
Kolmogorov, Vladimir
author_facet Harris, David G.
Iliopoulos, Fotis
Kolmogorov, Vladimir
contents The Lovász Local Lemma (LLL) is a powerful tool in probabilistic combinatorics which can be used to establish the existence of objects that satisfy certain properties. The breakthrough paper of Moser and Tardos and follow-up works revealed that the LLL has intimate connections with a class of stochastic local search algorithms for finding such desirable objects. In particular, it can be seen as a sufficient condition for this type of algorithms to converge fast. Besides conditions for existence of and fast convergence to desirable objects, one may naturally ask further questions regarding properties of these algorithms. For instance, "are they parallelizable?", "how many solutions can they output?", "what is the expected "weight" of a solution?", etc. These questions and more have been answered for a class of LLL-inspired algorithms called commutative. In this paper we introduce a new, very natural and more general notion of commutativity (essentially matrix commutativity) which allows us to show a number of new refined properties of LLL-inspired local search algorithms with significantly simpler proofs.
format Preprint
id arxiv_https___arxiv_org_abs_2008_05569
institution arXiv
publishDate 2020
record_format arxiv
spellingShingle A new notion of commutativity for the algorithmic Lovász Local Lemma
Harris, David G.
Iliopoulos, Fotis
Kolmogorov, Vladimir
Data Structures and Algorithms
Probability
The Lovász Local Lemma (LLL) is a powerful tool in probabilistic combinatorics which can be used to establish the existence of objects that satisfy certain properties. The breakthrough paper of Moser and Tardos and follow-up works revealed that the LLL has intimate connections with a class of stochastic local search algorithms for finding such desirable objects. In particular, it can be seen as a sufficient condition for this type of algorithms to converge fast. Besides conditions for existence of and fast convergence to desirable objects, one may naturally ask further questions regarding properties of these algorithms. For instance, "are they parallelizable?", "how many solutions can they output?", "what is the expected "weight" of a solution?", etc. These questions and more have been answered for a class of LLL-inspired algorithms called commutative. In this paper we introduce a new, very natural and more general notion of commutativity (essentially matrix commutativity) which allows us to show a number of new refined properties of LLL-inspired local search algorithms with significantly simpler proofs.
title A new notion of commutativity for the algorithmic Lovász Local Lemma
topic Data Structures and Algorithms
Probability
url https://arxiv.org/abs/2008.05569