Large Fluctuations in Amplifying Graphs

Fuente: arXiv
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Main Author: Lepri, Stefano
Format: Preprint
Published: 2023
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author Lepri, Stefano
author_facet Lepri, Stefano
contents We consider a model for chaotic diffusion with amplification on graphs associated with piecewise-linear maps of the interval [S. Lepri, Chaos Solitons & Fractals, 139,110003 (2020)]. We determine the conditions for having fat-tailed invariant measures by considering approximate solution of the Perron-Frobenius equation for generic graphs. An analogy with the statistical mechanics of a directed polymer is presented that allows for a physically appealing interpretation of the statistical regimes. The connection between non-Gaussian statistics and the generalized Lyapunov exponents $L(q)$ is illustrated. Finally, some results concerning large graphs are reported.
format Preprint
id arxiv_https___arxiv_org_abs_2301_01980
institution arXiv
publishDate 2023
record_format arxiv
spellingShingle Large Fluctuations in Amplifying Graphs
Lepri, Stefano
Chaotic Dynamics
We consider a model for chaotic diffusion with amplification on graphs associated with piecewise-linear maps of the interval [S. Lepri, Chaos Solitons & Fractals, 139,110003 (2020)]. We determine the conditions for having fat-tailed invariant measures by considering approximate solution of the Perron-Frobenius equation for generic graphs. An analogy with the statistical mechanics of a directed polymer is presented that allows for a physically appealing interpretation of the statistical regimes. The connection between non-Gaussian statistics and the generalized Lyapunov exponents $L(q)$ is illustrated. Finally, some results concerning large graphs are reported.
title Large Fluctuations in Amplifying Graphs
topic Chaotic Dynamics
url https://arxiv.org/abs/2301.01980