Series expansion for the density of states of the Ising and Potts models
Daniel Andren

TL;DR
This paper develops an approximation method for the density of states in Ising and Potts models using high- and low-temperature series expansions, providing a new analytical tool for studying these models.
Contribution
It introduces a novel series expansion approach to approximate the density of states for Ising and Potts models, bridging high- and low-temperature regimes.
Findings
Effective approximation of the density of states across temperature ranges
Potential for improved analysis of phase transitions
Provides analytical insights into model behavior
Abstract
An approximation of the density of states for the Ising and Potts models based on the high- and low-temperature series are developed.
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Taxonomy
TopicsTheoretical and Computational Physics · Opinion Dynamics and Social Influence · Stochastic processes and statistical mechanics
