Density of Partition Function Zeroes and Phase Transition Strength
arXiv:cond-mat/0203210 · doi:10.1016/S0010-4655(02)00323-5
Abstract
A new method to extract the density of partition function zeroes (a continuous function) from their distribution for finite lattices (a discrete data set) is presented. This allows direct determination of the order and strength of phase transitions numerically. Furthermore, it enables efficient distinguishing between first and second order transitions, elucidates crossover between them and illuminates the origins of finite-size scaling. The efficacy of the technique is demonstrated by its application to a number of models in the case of Fisher zeroes and to the XY model in the case of Lee-Yang zeroes.
LaTeX file, 4 pages, 3 figures, Proceeding CCP 2001 (Aachen), to appear in Computer Physics Communications
Cited by in corpus (15)
- Statistical Mechanics of Equilibrium and Nonequilibrium Phase Transitions: The Yang-Lee Formalism
- Phase Transition Strength through Densities of General Distributions of Zeroes
- Exact Partition Function Zeros of the Wako-Saito-Muñoz-Eaton Protein Model
- Scaling Analysis of the Site-Diluted Ising Model in Two Dimensions
- Density of Yang-Lee zeros for the Ising ferromagnet
- Identifying transitions in finite systems by means of partition function zeros and microcanonical inflection-point analysis: A comparison for elastic flexible polymers
- Complex RG flows for 2D nonlinear O(N) sigma models
- Analytic Partition Function Zeros of the Wako-Saito-Munoz-Eaton beta-hairpin Model
- Yang-Lee Zeros of the Triangular Ising Antiferromagnets
- Autocorrelation study of the Θ transition for a coarse-grained polymer model
- Tensor network calculation of the logarithmic correction exponent in the XY model
- Yang-Lee zeros and the critical behavior of the infinite-range two- and three-state Potts models
- Time correlation functions and Fisher zeros for q-deformed Bose gas
- New methods to measure phase transition strength
- Change in the Order of a Phase Transition in the 2D Potts Model with Equivalent Neighbours