Random Walks That Find Perfect Objects and the Lovász Local Lemma

Author:

Achlioptas Dimitris1,Iliopoulos Fotis2

Affiliation:

1. University of California Santa Cruz, CA, USA

2. University of California Berkeley, Berkeley CA, USA

Abstract

We give an algorithmic local lemma by establishing a sufficient condition for the uniform random walk on a directed graph to reach a sink quickly. Our work is inspired by Moser’s entropic method proof of the Lovász Local Lemma (LLL) for satisfiability and completely bypasses the Probabilistic Method formulation of the LLL. In particular, our method works when the underlying state space is entirely unstructured. Similarly to Moser’s argument, the key point is that the inevitability of reaching a sink is established by bounding the entropy of the walk as a function of time.

Funder

European Research Council

Alfred P. Sloan Foundation

NSF

Publisher

Association for Computing Machinery (ACM)

Subject

Artificial Intelligence,Hardware and Architecture,Information Systems,Control and Systems Engineering,Software

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1. Moser–Tardos resampling algorithm, entropy compression method and the subset gas;Annales de l’Institut Henri Poincaré D;2022-12-22

2. Efficiently list‐edge coloring multigraphs asymptotically optimally;Random Structures & Algorithms;2022-02-06

3. Sampling constraint satisfaction solutions in the local lemma regime;Proceedings of the 53rd Annual ACM SIGACT Symposium on Theory of Computing;2021-06-15

4. Oblivious Resampling Oracles and Parallel Algorithms for the Lopsided Lovász Local Lemma;ACM Transactions on Algorithms;2021-01-28

5. Simple Local Computation Algorithms for the General Lovász Local Lemma;Proceedings of the 32nd ACM Symposium on Parallelism in Algorithms and Architectures;2020-07-06

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