Detecting invariant expanding cones for generating word sets to identify chaos in piecewise-linear maps
We show how to formally identify chaotic attractors in continuous, piecewise-linear maps on . For such a map f, this is achieved by constructing three objects. First, is trapping region for f. Second, is a finite set of words that encodes the forward orbits of all points in . Finally, is an invarian...
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Published in: | Journal of difference equations and applications Vol. 29; no. 9-12; pp. 1094 - 1126 |
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Main Author: | |
Format: | Journal Article |
Language: | English |
Published: |
Abingdon
Taylor & Francis
02-12-2023
Taylor & Francis Ltd |
Subjects: | |
Online Access: | Get full text |
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Summary: | We show how to formally identify chaotic attractors in continuous, piecewise-linear maps on
. For such a map f, this is achieved by constructing three objects. First,
is trapping region for f. Second,
is a finite set of words that encodes the forward orbits of all points in
. Finally,
is an invariant expanding cone for derivatives of compositions of f formed by the words in
. The existence of
,
, and C implies f has a topological attractor with a positive Lyapunov exponent. We develop an algorithm that identifies these objects for two-dimensional homeomorphisms comprised of two affine pieces. The main effort is in the explicit construction of
and C. Their existence is equated to a set of computable conditions in a general way. This results in a computer-assisted proof of chaos throughout a relatively large region of parameter space. We also observe how the failure of C to be expanding can coincide with a bifurcation of f. Lyapunov exponents are evaluated using one-sided directional derivatives so that forward orbits that intersect a switching manifold (where f is not differentiable) can be included in the analysis. |
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ISSN: | 1023-6198 1563-5120 |
DOI: | 10.1080/10236198.2022.2070009 |