2013
DOI: 10.1112/plms/pdt013
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On stochastic stability of non-uniformly expanding interval maps

Abstract: We study the expanding properties of random perturbations of regular interval maps satisfying the summability condition of exponent one. Under very general conditions on the interval maps and perturbation types, we prove strong stochastic stability.

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Cited by 16 publications
(23 citation statements)
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“…We would like also to suggest here a weakening of the linear response problem: Consider a one-parameter family f t of (say, smooth unimodal maps) through f t0 and, for each ǫ > 0, a random perturbation of f t with unique invariant measure µ ǫ t , e.g., like in [39]. Then for each positive ǫ, it should not be very difficult to see that the map t → µ ǫ t is differentiable at t 0 (for essentially any topology in the image).…”
Section: Introduction and Statement Of Resultsmentioning
confidence: 99%
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“…We would like also to suggest here a weakening of the linear response problem: Consider a one-parameter family f t of (say, smooth unimodal maps) through f t0 and, for each ǫ > 0, a random perturbation of f t with unique invariant measure µ ǫ t , e.g., like in [39]. Then for each positive ǫ, it should not be very difficult to see that the map t → µ ǫ t is differentiable at t 0 (for essentially any topology in the image).…”
Section: Introduction and Statement Of Resultsmentioning
confidence: 99%
“…Then, if t is good for the same parameters and (M, t) is a (C a , α, β, ǫ)-admissible pair, we claim that the estimates in Lemma 2.6 hold for M and all |s| ≤ t , with constants depending only on C a . (Indeed, (39) holds for s = 0 by Proposition 2.4 since C a is larger than the constant C from that proposition, so that (34) is satisfied by the admissibility condition.) In addition, using (34) again, we may ensure, by Lemma 3.8 below, that the tower of f t coincides with that of f up to level M .…”
Section: Maps In a Neighbourhood Of A Good Map -Admissible Pairs (M T)mentioning
confidence: 92%
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“…It is not clear how this technique can be implemented in the presence of noise. A few recent results [2,32] used induction to achieve stochastic stability in some classes of one-dimensional maps. It would be interesting to explore the possibility of apply those techniques to metastability.…”
Section: Introductionmentioning
confidence: 99%
“…Recently Shen [26] obtained stochastic stability for unimodal transformations under very weak assumptions, but does not cover the case of transformations with infinitely many critical points; and Shen together with van Strien in [27] obtained strong stochastic stability for the Manneville-Pomeaux family of intermittent maps, answering questions raised in [12].…”
Section: Introductionmentioning
confidence: 99%