1999
DOI: 10.1016/s0362-546x(97)00629-9
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On attractors of piecewise linear 2-endomorphisms

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Cited by 6 publications
(4 citation statements)
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“…The aim of this paper is to extend the range of examples for which two-dimensional attractors can be proved to exist using two-dimensional Markov partitions. Unlike the example of Dobryiskiy [12] the attractor contains a repeller.…”
Section: Introductionmentioning
confidence: 85%
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“…The aim of this paper is to extend the range of examples for which two-dimensional attractors can be proved to exist using two-dimensional Markov partitions. Unlike the example of Dobryiskiy [12] the attractor contains a repeller.…”
Section: Introductionmentioning
confidence: 85%
“…Note that such fully two-dimensional attractors have been observed numerically [11], and the existence of two-dimensional trapping regions has been established in many cases [21]. However, in the two situations we are aware of for which the existence of a two-dimensional strange attractor has been proved the attractor is either the closure of a one-dimensional unstable manifold [10] (which is not the case in the examples described here) or it can be treated by analyzing an appropriate one-dimensional map ( [7,11,21], the 'Cournot' case, see below). We aim to develop techniques which do not rely on one-dimensional techniques, and hence have a broader application.…”
Section: Introductionmentioning
confidence: 93%
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“…two-dimensional regions on which the map is transitive and periodic orbits are dense. However, proofs of the existence of these regions are either restricted to cases where the dynamics can be analyzed by related one-dimensional maps [Bischi et al, 2000], or to a specially chosen countable set of parameters at which there is a finite Markov partition with sufficient expansion in the map [Glendinning & Wong, 2011], see also [Dobrynskii, 1998;Dobrynskiy, 1999]. Glendinning and Jeffrey [2012] show that analogous attractors exist in the n-dimensional version of the border collision normal form due to di Bernardo [di Bernardo, 2003].…”
Section: Introductionmentioning
confidence: 99%