Fast algorithms for general spin systems on bipartite expanders

A spin system is a framework in which the vertices of a graph are assigned spins from a finite set. The interactions between neighbouring spins give rise to weights, so a spin assignment can also be viewed as a weighted graph homomorphism. The problem of approximating the partition function (the agg...

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Main Authors: Galanis, A, Goldberg, L, Stewart, J
Format: Journal article
Language:English
Published: Association for Computing Machinery 2021
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author Galanis, A
Goldberg, L
Stewart, J
author_facet Galanis, A
Goldberg, L
Stewart, J
author_sort Galanis, A
collection OXFORD
description A spin system is a framework in which the vertices of a graph are assigned spins from a finite set. The interactions between neighbouring spins give rise to weights, so a spin assignment can also be viewed as a weighted graph homomorphism. The problem of approximating the partition function (the aggregate weight of spin assignments) or of sampling from the resulting probability distribution is typically intractable for general graphs. In this work, we consider arbitrary spin systems on bipartite expander ∆-regular graphs, including the canonical class of bipartite random ∆-regular graphs. We develop fast approximate sampling and counting algorithms for general spin systems whenever the degree and the spectral gap of the graph are sufficiently large. Roughly, this guarantees that the spin system is in the so-called low-temperature regime. Our approach generalises the techniques of Jenssen et al. and Chen et al. by showing that typical configurations on bipartite expanders correspond to “bicliques” of the spin system; then, using suitable polymer models, we show how to sample such configurations and approximate the partition function in O˜(n 2 ) time, where n is the size of the graph.
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spelling oxford-uuid:8923d22c-0179-454a-a720-cc8672ad18c02022-03-26T22:22:28ZFast algorithms for general spin systems on bipartite expandersJournal articlehttp://purl.org/coar/resource_type/c_dcae04bcuuid:8923d22c-0179-454a-a720-cc8672ad18c0EnglishSymplectic ElementsAssociation for Computing Machinery2021Galanis, AGoldberg, LStewart, JA spin system is a framework in which the vertices of a graph are assigned spins from a finite set. The interactions between neighbouring spins give rise to weights, so a spin assignment can also be viewed as a weighted graph homomorphism. The problem of approximating the partition function (the aggregate weight of spin assignments) or of sampling from the resulting probability distribution is typically intractable for general graphs. In this work, we consider arbitrary spin systems on bipartite expander ∆-regular graphs, including the canonical class of bipartite random ∆-regular graphs. We develop fast approximate sampling and counting algorithms for general spin systems whenever the degree and the spectral gap of the graph are sufficiently large. Roughly, this guarantees that the spin system is in the so-called low-temperature regime. Our approach generalises the techniques of Jenssen et al. and Chen et al. by showing that typical configurations on bipartite expanders correspond to “bicliques” of the spin system; then, using suitable polymer models, we show how to sample such configurations and approximate the partition function in O˜(n 2 ) time, where n is the size of the graph.
spellingShingle Galanis, A
Goldberg, L
Stewart, J
Fast algorithms for general spin systems on bipartite expanders
title Fast algorithms for general spin systems on bipartite expanders
title_full Fast algorithms for general spin systems on bipartite expanders
title_fullStr Fast algorithms for general spin systems on bipartite expanders
title_full_unstemmed Fast algorithms for general spin systems on bipartite expanders
title_short Fast algorithms for general spin systems on bipartite expanders
title_sort fast algorithms for general spin systems on bipartite expanders
work_keys_str_mv AT galanisa fastalgorithmsforgeneralspinsystemsonbipartiteexpanders
AT goldbergl fastalgorithmsforgeneralspinsystemsonbipartiteexpanders
AT stewartj fastalgorithmsforgeneralspinsystemsonbipartiteexpanders