2021
DOI: 10.48550/arxiv.2104.14780
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Densely branching trees as models for Hénon-like and Lozi-like attractors

Abstract: Inspired by a recent work of Crovisier and Pujals on mildly dissipative diffeomorphisms of the plane, we show that Hénon-like and Lozi-like maps on their strange attractors are conjugate to natural extensions (a.k.a. shift homeomorphisms on inverse limits) of maps on metric trees with dense set of branch points. In consequence, these trees very well approximate the topology of the attractors, and the maps on them give good models of the dynamics. To the best of our knowledge, these are the first examples of ca… Show more

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Cited by 4 publications
(8 citation statements)
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“…In this case, there is an interval L ⊂ f (I i−1 ) such that x ∈ int(L) and L ∩ f ([u i , v i ]) = ∅. It follows from Proposition 4.2 that there is an interval I ⊂ I i−1 such that f (I ) = L. Observe that this choice of I satisfies condition (10)…”
Section: Note That σ G•h and σ H•g Are Conjugate Via Hmentioning
confidence: 98%
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“…In this case, there is an interval L ⊂ f (I i−1 ) such that x ∈ int(L) and L ∩ f ([u i , v i ]) = ∅. It follows from Proposition 4.2 that there is an interval I ⊂ I i−1 such that f (I ) = L. Observe that this choice of I satisfies condition (10)…”
Section: Note That σ G•h and σ H•g Are Conjugate Via Hmentioning
confidence: 98%
“…In fact, it is known that for certain Hénon maps, this is never true [3]. Furthermore, Hénon and Lozi attractors discussed in [10] always contain non-degenerate arc components (such as branches of unstable manifolds), whereas the pseudo-arc contains no non-degenerate arcs at all. Moreover, as we have already mentioned, the interval maps f such that lim ← − ([0, 1], f ) is the pseudo-arc, and their natural extensions σ f have infinite topological entropy, but the Hénon and Lozi maps have finite entropy, bounded above by log 2.…”
Section: Introductionmentioning
confidence: 99%
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“…In one dimension, it is possible to classify maps by a finite-parameter family [Guc79,MT88]. In two dimensions, a finite-parameter family is not enough to solve the classification problem of a class of maps [HMT17,CP18,BŠ21].…”
Section: Introductionmentioning
confidence: 99%