Abstract

We use an m-vicinity method to examine Ising models on hypercube lattices of high dimensions . This method is applicable for both short-range and long-range interactions. We introduce a small parameter, which determines whether the method can be used when calculating the free energy. When we account for interaction with the nearest neighbors only, the value of this parameter depends on the dimension of the lattice . We obtain an expression for the critical temperature in terms of the interaction constants that is in a good agreement with the results of computer simulations. For , our theoretical estimates match the numerical results both qualitatively and quantitatively. For , our method is sufficiently accurate for the calculation of the critical temperatures; however, it predicts a finite jump of the heat capacity at the critical point. In the case of the three-dimensional lattice (), this contradicts the commonly accepted ideas of the type of the singularity at the critical point. For the four-dimensional lattice (), the character of the singularity is under current discussion. For the dimensions the m-vicinity method is not applicable.

Highlights

  • Statistical physics provides effective methods of analysis, allowing us to investigate large systems of elementary “agents” and to determine macroscopic characteristics—in particular, the free energy based on interactions between the “agents”

  • We introduce a small parameter, which determines whether the method can be used when calculating the free energy

  • The statistical physics methods became popular in the combinatorial optimization problems [4,5,6]

Read more

Summary

Introduction

Statistical physics provides effective methods of analysis, allowing us to investigate large systems of elementary “agents” and to determine macroscopic characteristics—in particular, the free energy based on interactions between the “agents”. We define the boundaries of the method applicability and obtain analytical expressions for the critical characteristics of the system They are the critical value of the inverse temperature and the jump of the heat capacity. For such a lattice, we examine the role of the long-range interaction; in particular, we discuss the interactions with the next-nearest neighbors and the next-next-nearest neighbors.

Main Approximation of m-Vicinity Method
Small Parameter in m-Vicinity Method
Critical Point
Analytical Expressions
Critical Parameters
Magnetization Distribution
Second Order of Perturbation Theory
Comparison with Computer Simulations
Findings
Discussion
Full Text
Published version (Free)

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call