2019
DOI: 10.1007/s10884-019-09807-5
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Singular Stationary Measures for Random Piecewise Affine Interval Homeomorphisms

Abstract: We show that the stationary measure for some random systems of two piecewise affine homeomorphisms of the interval is singular, verifying partially a conjecture by Alsedà and Misiurewicz and contributing to a question of Navas on the absolute continuity of stationary measures, considered in the setup of semigroups of piecewise affine circle homeomorphisms. We focus on the case of resonant boundary derivatives.

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Cited by 6 publications
(20 citation statements)
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“…Next, let f 1 be the interval homeomorphism defined by 1). Setting a 0 = y 0 x 0 and a 1 = 1−y 0 1−x 0 , we can write After [2], we call these systems the Alsedà-Misiurewicz systems (in [2] the only restriction for (x 0 , y 0 ) ∈ (0, 1) × (0, 1) is that it should be under diagonal). Further, fix two positive real functions p 0 , p 1 on [0, 1] with p 0 (x) + p 1 (x) = 1 for every x ∈ [0, 1].…”
Section: The Main Resultsmentioning
confidence: 99%
“…Next, let f 1 be the interval homeomorphism defined by 1). Setting a 0 = y 0 x 0 and a 1 = 1−y 0 1−x 0 , we can write After [2], we call these systems the Alsedà-Misiurewicz systems (in [2] the only restriction for (x 0 , y 0 ) ∈ (0, 1) × (0, 1) is that it should be under diagonal). Further, fix two positive real functions p 0 , p 1 on [0, 1] with p 0 (x) + p 1 (x) = 1 for every x ∈ [0, 1].…”
Section: The Main Resultsmentioning
confidence: 99%
“…We can find another dense subset of RDS(I) using the tools from [5] for piecewise linear homeomorphisms on the unit interval. The space RDS(I) contains piecewise linear homeomorphisms and we utilize the so-called non-resonant case from [5] on a neighborhood of zero to approximate any given f ∈ RDS(I) to show that the systems with fully supported stationary measures form another dense subset of RDS(I).…”
Section: Systems With Full Supportmentioning
confidence: 99%
“…As in [5], the proof is based on the notion of minimality. Our random dynamical systems on I are never minimal since the endpoint set is invariant, so we work instead on R where there are no endpoints.…”
Section: Systems With Full Supportmentioning
confidence: 99%
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