Minimal cover of high-dimensional chaotic attractors by embedded recurrent patterns

Fuente: arXiv
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Main Authors: Crane, Daniel L., Davidchack, Ruslan L., Gorban, Alexander N.
Format: Preprint
Published: 2016
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author Crane, Daniel L.
Davidchack, Ruslan L.
Gorban, Alexander N.
author_facet Crane, Daniel L.
Davidchack, Ruslan L.
Gorban, Alexander N.
contents We propose a general method for constructing a minimal cover of high-dimensional chaotic attractors by embedded unstable recurrent patterns. By minimal cover we mean a subset of available patterns such that the approximation of chaotic dynamics by a minimal cover with a predefined proximity threshold is as good as the approximation by the full available set. The proximity measure, based on the concept of a directed Hausdorff distance, can be chosen with considerable freedom and adapted to the properties of a given chaotic system. In the context of a spatiotemporally chaotic attractor of the Kuramoto--Sivashinsky system on a periodic domain, we demonstrate that the minimal cover can be faithfully constructed even when the proximity measure is defined within a subspace of dimension much smaller than the dimension of space containing the attractor. We discuss how the minimal cover can be used to provide a reduced description of the attractor structure and the dynamics on it.
format Preprint
id arxiv_https___arxiv_org_abs_1607_02180
institution arXiv
publishDate 2016
record_format arxiv
spellingShingle Minimal cover of high-dimensional chaotic attractors by embedded recurrent patterns
Crane, Daniel L.
Davidchack, Ruslan L.
Gorban, Alexander N.
Chaotic Dynamics
We propose a general method for constructing a minimal cover of high-dimensional chaotic attractors by embedded unstable recurrent patterns. By minimal cover we mean a subset of available patterns such that the approximation of chaotic dynamics by a minimal cover with a predefined proximity threshold is as good as the approximation by the full available set. The proximity measure, based on the concept of a directed Hausdorff distance, can be chosen with considerable freedom and adapted to the properties of a given chaotic system. In the context of a spatiotemporally chaotic attractor of the Kuramoto--Sivashinsky system on a periodic domain, we demonstrate that the minimal cover can be faithfully constructed even when the proximity measure is defined within a subspace of dimension much smaller than the dimension of space containing the attractor. We discuss how the minimal cover can be used to provide a reduced description of the attractor structure and the dynamics on it.
title Minimal cover of high-dimensional chaotic attractors by embedded recurrent patterns
topic Chaotic Dynamics
url https://arxiv.org/abs/1607.02180