2020
DOI: 10.1017/etds.2020.91
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Finitely many physical measures for sectional-hyperbolic attracting sets and statistical stability

Abstract: We show that a sectional-hyperbolic attracting set for a Hölder- $C^{1}$ vector field admits finitely many physical/SRB measures whose ergodic basins cover Lebesgue almost all points of the basin of topological attraction. In addition, these physical measures depend continuously on the flow in the $C^{1}$ topology, that is, sectional-hyperbolic attracting sets are statistically stable. To prove these results we show that each central-unstable disk in … Show more

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Cited by 11 publications
(13 citation statements)
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“…Remark 2. This result is also proven in [5], and is also a consequence of the arguments in both [3] and [16]. We present an additional proof of this result using Theorem 3.1 directly.…”
supporting
confidence: 55%
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“…Remark 2. This result is also proven in [5], and is also a consequence of the arguments in both [3] and [16]. We present an additional proof of this result using Theorem 3.1 directly.…”
supporting
confidence: 55%
“…There is also a large body of work on singular hyperbolic and sectionalhyperbolic flows more generally. In [17], it is shown that singular hyperbolic flows admit finitely many ergodic physical measures; more recently, it was shown in [3] that flows of Hölder-C 1 vector fields admitting a sectional-hyperbolic attracting set admit finitely many ergodic SRB measures. The proof in [3] also relies on Poincaré return maps, and so these results extend to discrete singular hyperbolic maps arising as Poincaré maps of hyperbolic flows.…”
mentioning
confidence: 99%
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“…For item (2), note that for each x ∈ Γ 1 we have that R(x) ∈ ∂Σ j (a 0 ) ⊂ Σ j . Thus there exists a neighborhood…”
Section: 42mentioning
confidence: 99%
“…A natural notion of stability for maps with several physical measures supported on a given attracting set was provided in [3]. The same strategy was applied to obtain statistical stability for sectional-hyperbolic attracting sets (a higher (co)dimensional extension of the notion of singular-hyperbolicity) in [8], where the focus lies on the technically much harder task of deducing the properties needed to apply the criteria, due to the high dimensionality of the objects involved.…”
Section: Introductionmentioning
confidence: 99%