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Main Authors: Shmakov, Sergei, Osipycheva, Glasha, Littlewood, Peter B.
Format: Preprint
Published: 2024
Subjects:
Online Access:https://arxiv.org/abs/2411.17944
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author Shmakov, Sergei
Osipycheva, Glasha
Littlewood, Peter B.
author_facet Shmakov, Sergei
Osipycheva, Glasha
Littlewood, Peter B.
contents Non-reciprocal systems can be thought of as disobeying Newtons third law - an action does not cause an equal and opposite reaction. In recent years there has been a dramatic rise in interest towards such systems. On a fundamental level, they can be a basis of describing non-equilibrium and active states of matter, with applications ranging from physics to social sciences. However, often the first step to understanding complex nonlinear models is to linearize about the steady states. It is thus useful to develop a careful understanding of linear non-reciprocal systems, similar to our understanding of Gaussian systems in equilibrium statistical mechanics. In this work we explore simplest linear non-reciprocal models with noise and spatial extent. We describe their regions of stability and show how non-reciprocity can enhance the stability of a system. We demonstrate the appearance of exceptional and critical exceptional points with the respective enhancement of fluctuations for the latter. We show how strong non-reciprocity can lead to a finite-momentum instability. Finally, we comment how non-reciprocity can be a source of colored, $1/f$ type noise.
format Preprint
id arxiv_https___arxiv_org_abs_2411_17944
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Gaussian fluctuations of non-reciprocal systems
Shmakov, Sergei
Osipycheva, Glasha
Littlewood, Peter B.
Statistical Mechanics
Non-reciprocal systems can be thought of as disobeying Newtons third law - an action does not cause an equal and opposite reaction. In recent years there has been a dramatic rise in interest towards such systems. On a fundamental level, they can be a basis of describing non-equilibrium and active states of matter, with applications ranging from physics to social sciences. However, often the first step to understanding complex nonlinear models is to linearize about the steady states. It is thus useful to develop a careful understanding of linear non-reciprocal systems, similar to our understanding of Gaussian systems in equilibrium statistical mechanics. In this work we explore simplest linear non-reciprocal models with noise and spatial extent. We describe their regions of stability and show how non-reciprocity can enhance the stability of a system. We demonstrate the appearance of exceptional and critical exceptional points with the respective enhancement of fluctuations for the latter. We show how strong non-reciprocity can lead to a finite-momentum instability. Finally, we comment how non-reciprocity can be a source of colored, $1/f$ type noise.
title Gaussian fluctuations of non-reciprocal systems
topic Statistical Mechanics
url https://arxiv.org/abs/2411.17944