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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…

Data Structures and Algorithms · Computer Science 2024-11-20 Charlie Carlson , Ewan Davies , Nicolas Fraiman , Alexandra Kolla , Aditya Potukuchi , Corrine Yap

We study the critical behavior of the q-state Potts model with random ferromagnetic couplings. Working with the cluster representation the partition sum of the model in the large-q limit is dominated by a single graph, the fractal…

Disordered Systems and Neural Networks · Physics 2009-11-07 Robert Juhasz , Heiko Rieger , Ferenc Igloi

We calculate the partition function of the $q$-state Potts model on arbitrary-length cyclic ladder graphs of the square and triangular lattices, with a generalized external magnetic field that favors or disfavors a subset of spin values…

Statistical Mechanics · Physics 2015-10-28 Shu-Chiuan Chang , Robert Shrock

In this survey, we give a friendly introduction from a graph theory perspective to the q-state Potts model, an important statistical mechanics tool for analyzing complex systems in which nearest neighbor interactions determine the aggregate…

Combinatorics · Mathematics 2014-08-27 L. Beaudin , J. Ellis-Monaghan , G. Pangborn , R. Shrock

We present exact calculations of the partition function $Z$ of the $q$-state Potts model and its generalization to real $q$, the random cluster model, for arbitrary temperature on $n$-vertex ladder graphs with free, cyclic, and M\"obius…

Statistical Mechanics · Physics 2009-10-31 Robert Shrock

We present exact calculations of the partition function of the q-state Potts model for general q and temperature on strips of the square lattice of width L_y=3 vertices and arbitrary length L_x with periodic longitudinal boundary…

Statistical Mechanics · Physics 2009-10-31 Shu-Chiuan Chang , Robert Shrock

The q-state Potts model is a fundamental framework in statistical physics and graph theory, with its partition function encoding rich information about spin configurations. The multivariate Tutte polynomial (known as the partition function…

Combinatorics · Mathematics 2025-07-31 Sofya Mukhamedzhanova , Bulat Sabirov , Amir Mukhamedzhanov

An emerging trend in approximate counting is to show that certain `low-temperature' problems are easy on typical instances, despite worst-case hardness results. For the class of regular graphs one usually shows that expansion can be…

Data Structures and Algorithms · Computer Science 2024-02-06 Charles Carlson , Ewan Davies , Alexandra Kolla

We present exact calculations of partition function $Z$ of the $q$-state Potts model with next-nearest-neighbor spin-spin couplings, both for the ferromagnetic and antiferromagnetic case, for arbitrary temperature, on $n$-vertex strip…

Statistical Mechanics · Physics 2009-10-31 Shu-Chiuan Chang , Robert Shrock

We present an efficient quantum algorithm for the exact evaluation of either the fully ferromagnetic or anti-ferromagnetic q-state Potts partition function Z for a family of graphs related to irreducible cyclic codes. This problem is…

Quantum Physics · Physics 2008-09-27 Joseph Geraci , Daniel A. Lidar

We present a set of general results on structural features of the $q$-state Potts model partition function $Z(G,q,v)$ for arbitrary $q$ and temperature Boltzmann variable $v$ for various lattice strips of arbitrarily great width $L_y$…

Statistical Mechanics · Physics 2009-11-07 Shu-Chiuan Chang , Robert Shrock

The q-state Potts model can be defined on an arbitrary finite graph, and its partition function encodes much important information about that graph, including its chromatic polynomial, flow polynomial and reliability polynomial. The complex…

Statistical Mechanics · Physics 2009-10-31 Alan D. Sokal

A new algorithm is presented, which allows to calculate numerically the partition function Z_q of the d-dimensional q-state Potts models for arbitrary real values q>0 at any given temperature T with high precision. The basic idea is to…

Statistical Mechanics · Physics 2009-11-10 A. K. Hartmann

We compute the partition function of the $q$-states Potts model on a random planar lattice with $p\leq q$ allowed, equally weighted colours on a connected boundary. To this end, we employ its matrix model representation in the planar limit,…

Mathematical Physics · Physics 2016-04-13 Max R. Atkin , Benjamin Niedner , John F. Wheater

We consider the $q$-state Potts model on families of self-dual strip graphs $G_D$ of the square lattice of width $L_y$ and arbitrarily great length $L_x$, with periodic longitudinal boundary conditions. The general partition function $Z$…

Statistical Mechanics · Physics 2009-11-07 Shu-Chiuan Chang , Robert Shrock

We provide evidence that it is computationally difficult to approximate the partition function of the ferromagnetic q-state Potts model when q>2. Specifically we show that the partition function is hard for the complexity class #RHPi_1…

Computational Complexity · Computer Science 2012-11-13 Leslie Ann Goldberg , Mark Jerrum

We present exact calculations of the partition function for the q-state Potts model for general q, temperature and magnetic field on strips of the square lattices of width $L_{y}=2$ and arbitrary length $L_x = m $ with periodic longitudinal…

Statistical Mechanics · Physics 2007-05-23 B. Mirza , M. R. Bakhtiari

We establish a polynomial-time approximation algorithm for partition functions of quantum spin models at high temperature. Our algorithm is based on the quantum cluster expansion of Neto\v{c}n\'y and Redig and the cluster expansion approach…

Data Structures and Algorithms · Computer Science 2021-02-02 Ryan L. Mann , Tyler Helmuth

The q-state Potts model is studied on the Apollonian network with Monte Carlo simulations and the Transfer Matrix method. The spontaneous magnetization, correlation length, entropy, and specific heat are analyzed as a function of…

Statistical Mechanics · Physics 2010-10-19 Nuno A. M. Araújo , Roberto F. S. Andrade , Hans J. Herrmann

Several interesting problems in multi-robot systems can be cast in the framework of distributed optimization. Examples include multi-robot task allocation, vehicle routing, target protection, and surveillance. While the theoretical analysis…

Robotics · Computer Science 2025-04-03 Andrea Testa , Guido Carnevale , Giuseppe Notarstefano
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