On a Phase Separation Point for One - Dimensional Models
N.N. Ganikhodjaev, U.A. Rozikov

TL;DR
This paper investigates a one-dimensional spin model with nearest-neighbor interactions, defining a phase separation point and analyzing its expectation and fluctuations, revealing that fluctuations are bounded and tend to a constant at low temperatures.
Contribution
The paper introduces a notion of phase separation point in a 1D model and proves bounds on its fluctuations, extending understanding of phase transition behavior in one dimension.
Findings
Expectation value of the phase separation point is zero
Mean square fluctuation is bounded by a temperature-dependent constant
Fluctuations tend to 1/4 as temperature approaches zero
Abstract
In the paper a one-dimensional model with nearest - neighbor interactions and spin values is considered. It is known that under some conditions on parameters the phase transition occurs for the model. We define a notion of "phase separation" point between two phases. We prove that the expectation value of the point is zero and its the mean square fluctuation is bounded by a constant which tends to 1/4 if . Here , -temperature.
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Taxonomy
TopicsTheoretical and Computational Physics · Stochastic processes and statistical mechanics · Advanced Mathematical Modeling in Engineering
