Compositional disorder in a multicomponent non-reciprocal mixture: stability and patterns

Fuente: arXiv
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Main Authors: Parkavousi, Laya, Saha, Suropriya
Format: Preprint
Published: 2025
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author Parkavousi, Laya
Saha, Suropriya
author_facet Parkavousi, Laya
Saha, Suropriya
contents The mean compositions of individual components can be tuned to control phase behavior in number-conserving passive mixtures. In this work, we investigate the role of variable average density in a system of infinitely many non-reciprocally interacting scalar densities, within the framework of the multi-species non-reciprocal Cahn-Hilliard (NRCH) model. Rather than focusing on specific parameter choices, we study ensembles of systems where the inter-species interaction coefficients and average densities are sampled from probability distributions. We show that non-reciprocity stabilizes the homogeneous mixed state even in the presence of compositional disorder. Using random matrix theory, we derive a general condition for the onset of spinodal instability, which we verify through simulations. Finally, we illustrate the connection between the statistics of the most unstable eigenvalue and the emergent nonlinear dynamics.
format Preprint
id arxiv_https___arxiv_org_abs_2505_02532
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Compositional disorder in a multicomponent non-reciprocal mixture: stability and patterns
Parkavousi, Laya
Saha, Suropriya
Statistical Mechanics
Soft Condensed Matter
The mean compositions of individual components can be tuned to control phase behavior in number-conserving passive mixtures. In this work, we investigate the role of variable average density in a system of infinitely many non-reciprocally interacting scalar densities, within the framework of the multi-species non-reciprocal Cahn-Hilliard (NRCH) model. Rather than focusing on specific parameter choices, we study ensembles of systems where the inter-species interaction coefficients and average densities are sampled from probability distributions. We show that non-reciprocity stabilizes the homogeneous mixed state even in the presence of compositional disorder. Using random matrix theory, we derive a general condition for the onset of spinodal instability, which we verify through simulations. Finally, we illustrate the connection between the statistics of the most unstable eigenvalue and the emergent nonlinear dynamics.
title Compositional disorder in a multicomponent non-reciprocal mixture: stability and patterns
topic Statistical Mechanics
Soft Condensed Matter
url https://arxiv.org/abs/2505.02532