Algorithms for the ferromagnetic Potts model on expanders

Fuente: arXiv
Guardado en:
Detalles Bibliográficos
Autores principales: Carlson, Charlie, Davies, Ewan, Fraiman, Nicolas, Kolla, Alexandra, Potukuchi, Aditya, Yap, Corrine
Formato: Preprint
Publicado: 2022
Materias:
Acceso en línea:
Etiquetas: Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
_version_ 1866929596683780096
author Carlson, Charlie
Davies, Ewan
Fraiman, Nicolas
Kolla, Alexandra
Potukuchi, Aditya
Yap, Corrine
author_facet Carlson, Charlie
Davies, Ewan
Fraiman, Nicolas
Kolla, Alexandra
Potukuchi, Aditya
Yap, Corrine
contents We give algorithms for approximating the partition function of the ferromagnetic $q$-color Potts model on graphs of maximum degree $d$. Our primary contribution is a fully polynomial-time approximation scheme for $d$-regular graphs with an expansion condition at low temperatures (that is, bounded away from the order-disorder threshold). The expansion condition is much weaker than in previous works; for example, the expansion exhibited by the hypercube suffices. The main improvements come from a significantly sharper analysis of standard polymer models; we use extremal graph theory and applications of Karger's algorithm to count cuts that may be of independent interest. It is \#BIS-hard to approximate the partition function at low temperatures on bounded-degree graphs, so our algorithm can be seen as evidence that hard instances of \#BIS are rare. We also obtain efficient algorithms in the Gibbs uniqueness region for bounded-degree graphs. While our high temperature proof follows more standard polymer model analysis, our result holds in the largest known range of parameters $d$ and $q$.
format Preprint
id arxiv_https___arxiv_org_abs_2204_01923
institution arXiv
publishDate 2022
record_format arxiv
spellingShingle Algorithms for the ferromagnetic Potts model on expanders
Carlson, Charlie
Davies, Ewan
Fraiman, Nicolas
Kolla, Alexandra
Potukuchi, Aditya
Yap, Corrine
Data Structures and Algorithms
Discrete Mathematics
Combinatorics
82B20, 68W25, 05C30
We give algorithms for approximating the partition function of the ferromagnetic $q$-color Potts model on graphs of maximum degree $d$. Our primary contribution is a fully polynomial-time approximation scheme for $d$-regular graphs with an expansion condition at low temperatures (that is, bounded away from the order-disorder threshold). The expansion condition is much weaker than in previous works; for example, the expansion exhibited by the hypercube suffices. The main improvements come from a significantly sharper analysis of standard polymer models; we use extremal graph theory and applications of Karger's algorithm to count cuts that may be of independent interest. It is \#BIS-hard to approximate the partition function at low temperatures on bounded-degree graphs, so our algorithm can be seen as evidence that hard instances of \#BIS are rare. We also obtain efficient algorithms in the Gibbs uniqueness region for bounded-degree graphs. While our high temperature proof follows more standard polymer model analysis, our result holds in the largest known range of parameters $d$ and $q$.
title Algorithms for the ferromagnetic Potts model on expanders
topic Data Structures and Algorithms
Discrete Mathematics
Combinatorics
82B20, 68W25, 05C30
url https://arxiv.org/abs/2204.01923