Residual Diffusivity for Noisy Bernoulli Maps

Fuente: arXiv
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Hauptverfasser: Iyer, Gautam, Nolen, James
Format: Preprint
Veröffentlicht: 2024
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author Iyer, Gautam
Nolen, James
author_facet Iyer, Gautam
Nolen, James
contents Consider a discrete time Markov process $X^\varepsilon$ on $\mathbb R^d$ that makes a deterministic jump prescribed by a map $φ\colon \mathbb R^d \to \mathbb R^d$, and then takes a small Gaussian step of variance $\varepsilon^2$. For certain chaotic maps $φ$, the effective diffusivity of $X^\varepsilon$ may be bounded away from $0$ as $\varepsilon \to 0$. This is known as residual diffusivity, and in this paper we prove residual diffusivity occurs for a class of maps $φ$ obtained from piecewise affine expanding Bernoulli maps.
format Preprint
id arxiv_https___arxiv_org_abs_2409_12410
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Residual Diffusivity for Noisy Bernoulli Maps
Iyer, Gautam
Nolen, James
Dynamical Systems
Analysis of PDEs
Probability
60J05 (Primary) 37A25, 35B27 (Secondary)
Consider a discrete time Markov process $X^\varepsilon$ on $\mathbb R^d$ that makes a deterministic jump prescribed by a map $φ\colon \mathbb R^d \to \mathbb R^d$, and then takes a small Gaussian step of variance $\varepsilon^2$. For certain chaotic maps $φ$, the effective diffusivity of $X^\varepsilon$ may be bounded away from $0$ as $\varepsilon \to 0$. This is known as residual diffusivity, and in this paper we prove residual diffusivity occurs for a class of maps $φ$ obtained from piecewise affine expanding Bernoulli maps.
title Residual Diffusivity for Noisy Bernoulli Maps
topic Dynamical Systems
Analysis of PDEs
Probability
60J05 (Primary) 37A25, 35B27 (Secondary)
url https://arxiv.org/abs/2409.12410