Stochastic compression with and without permutations

We consider a simplified mass redistribution scheme, with and without permutations, that simulates stochastic compression under high and low disorder. For this case, surprisingly, the limit density distributions can be computed explicitly, and neat formulas are provided. As the dimension of space increases, the distinction between structured and turbulent compression becomes less pronounced. Already in dimension two, the density distributions are barely distinguishable. • Analytical results for limit densities in a stochastic compression process. • Comparison of asymptotic behavior with and without permutations. • Extension of some results to the multidimensional case.

Authors

Publication Details

Journal
Physica A Statistical Mechanics and its Applications
Published
2025-12-08
DOI
https://doi.org/10.1016/j.physa.2025.131194
Primary Topic
Theoretical and Computational Physics
Type
article
Field-Weighted Citation Impact
0.00
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article

Stochastic compression with and without permutations

Anton A. Kutsenko
Physica A Statistical Mechanics and its Applications
Theoretical and Computational Physics
article

Stochastic compression with and without permutations

Anton A. Kutsenko
article en

Abstract

We consider a simplified mass redistribution scheme, with and without permutations, that simulates stochastic compression under high and low disorder. For this case, surprisingly, the limit density distributions can be computed explicitly, and neat formulas are provided. As the dimension of space increases, the distinction between structured and turbulent compression becomes less pronounced. Already in dimension two, the density distributions are barely distinguishable. • Analytical results for limit densities in a stochastic compression process. • Comparison of asymptotic behavior with and without permutations. • Extension of some results to the multidimensional case.

Physica A Statistical Mechanics and its ApplicationsVol. 683
Openalex Percentile: Top 75%
Theoretical and Computational Physics
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