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We show for a broad class of counting problems, correlation decay (strong spatial mixing) implies FPTAS on planar graphs. The framework for the counting problems considered by us is the Holant problems with arbitrary constant-size domain…

Data Structures and Algorithms · Computer Science 2012-07-17 Yitong Yin , Chihao Zhang

The hard core model in statistical physics is a probability distribution on independent sets in a graph in which the weight of any independent set I is proportional to lambda^(|I|), where lambda > 0 is the vertex activity. We show that…

Discrete Mathematics · Computer Science 2016-11-17 Alistair Sinclair , Piyush Srivastava , Yitong Yin

We give a complete characterization of the two-state anti-ferromagnetic spin systems which are of strong spatial mixing on general graphs. We show that a two-state anti-ferromagnetic spin system is of strong spatial mixing on all graphs of…

Data Structures and Algorithms · Computer Science 2021-05-10 Liang Li , Pinyan Lu , Yitong Yin

We explore connections between the phenomenon of correlation decay and the location of Lee-Yang and Fisher zeros for various spin systems. In particular we show that, in many instances, proofs showing that weak spatial mixing on the Bethe…

Computational Complexity · Computer Science 2022-08-05 Jingcheng Liu , Alistair Sinclair , Piyush Srivastava

Approximate counting via correlation decay is the core algorithmic technique used in the sharp delineation of the computational phase transition that arises in the approximation of the partition function of anti-ferromagnetic two-spin…

Computational Complexity · Computer Science 2019-02-04 Ivona Bezakova , Andreas Galanis , Leslie Ann Goldberg , Heng Guo , Daniel Stefankovic

The property of spatial mixing and strong spatial mixing in spin systems has been of interest because of its implications on uniqueness of Gibbs measures on infinite graphs and efficient approximation of counting problems that are otherwise…

Probability · Mathematics 2012-07-06 David Gamarnik , Dmitry Katz , Sidhant Misra

We prove Gibbs distribution of two-state spin systems(also known as binary Markov random fields) without hard constrains on a tree exhibits strong spatial mixing(also known as strong correlation decay), under the assumption that, for…

Discrete Mathematics · Computer Science 2009-03-05 Jinshan Zhang

We study the problem of deterministic approximate counting of matchings and independent sets in graphs of bounded connective constant. More generally, we consider the problem of evaluating the partition functions of the monomer-dimer model…

Data Structures and Algorithms · Computer Science 2014-10-10 Alistair Sinclair , Piyush Srivastava , Daniel Štefankovič , Yitong Yin

We give the first deterministic fully polynomial-time approximation scheme (FPTAS) for computing the partition function of a two-state spin system on an arbitrary graph, when the parameters of the system satisfy the uniqueness condition on…

Data Structures and Algorithms · Computer Science 2011-11-09 Liang Li , Pinyan Lu , Yitong Yin

For spin systems, such as the $q$-colorings and independent-set models, approximating the partition function in the so-called non-uniqueness region, where the model exhibits long-range correlations, is typically computationally hard for…

Data Structures and Algorithms · Computer Science 2021-05-06 Zongchen Chen , Andreas Galanis , Daniel Štefankovič , Eric Vigoda

The polymer model framework is a classical tool from statistical mechanics that has recently been used to obtain approximation algorithms for spin systems on classes of bounded-degree graphs; examples include the ferromagnetic Potts model…

Data Structures and Algorithms · Computer Science 2022-03-29 Andreas Galanis , Leslie Ann Goldberg , James Stewart

Hardcore and Ising models are two most important families of two state spin systems in statistic physics. Partition function of spin systems is the center concept in statistic physics which connects microscopic particles and their…

Data Structures and Algorithms · Computer Science 2015-09-21 Pinyan Lu , Kuan Yang , Chihao Zhang

We show that the anti-ferromagnetic Potts model on trees exhibits strong spatial mixing for a near-optimal range of parameters. Our work complements recent results of Chen, Liu, Mani, and Moitra [arXiv.2304.01954] who showed this to be true…

Probability · Mathematics 2024-12-06 Ferenc Bencs , Khallil Berrekkal , Guus Regts

Given a graphical model (GM), computing its partition function is the most essential inference task, but it is computationally intractable in general. To address the issue, iterative approximation algorithms exploring certain local…

Machine Learning · Computer Science 2019-05-15 Sejun Park , Eunho Yang , Se-Young Yun , Jinwoo Shin

We give an FPTAS and an efficient sampling algorithm for the high-fugacity hard-core model on bounded-degree bipartite expander graphs and the low-temperature ferromagnetic Potts model on bounded-degree expander graphs. The results apply,…

Data Structures and Algorithms · Computer Science 2020-03-25 Matthew Jenssen , Peter Keevash , Will Perkins

We study the strong spatial mixing (decay of correlation) property of proper $q$-colorings of random graph $G(n, d/n)$ with a fixed $d$. The strong spatial mixing of coloring and related models have been extensively studied on graphs with…

Data Structures and Algorithms · Computer Science 2014-02-20 Yitong Yin

This paper deals with the construction of a correlation decay tree (hypertree) for interacting systems modeled using graphs (hypergraphs) that can be used to compute the marginal probability of any vertex of interest. Local message passing…

Probability · Mathematics 2007-05-23 Chandra Nair , Prasad Tetali

We consider spin systems on the integer lattice graph $\mathbb{Z}^d$ with nearest-neighbor interactions. We develop a combinatorial framework for establishing that exponential decay with distance of spin correlations, specifically the…

Discrete Mathematics · Computer Science 2017-08-09 Antonio Blanca , Pietro Caputo , Alistair Sinclair , Eric Vigoda

We give fully polynomial-time approximation schemes (FPTAS) for the partition function of ferromagnetic 2-spin systems in certain parameter regimes. The threshold we obtain is almost tight up to an integrality gap. Our technique is based on…

Data Structures and Algorithms · Computer Science 2018-07-06 Heng Guo , Pinyan Lu

Recent results establish for 2-spin antiferromagnetic systems that the computational complexity of approximating the partition function on graphs of maximum degree D undergoes a phase transition that coincides with the uniqueness phase…

Computational Complexity · Computer Science 2016-09-15 Andreas Galanis , Daniel Stefankovic , Eric Vigoda , Linji Yang
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