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Decay of correlations and memory loss for Lasota–Yorke convex maps

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For a class of piecewise convex maps f on the interval , we show that f has a unique absolutely continuous invariant probability measure μ with exponential decay of correlations,… Click to show full abstract

For a class of piecewise convex maps f on the interval , we show that f has a unique absolutely continuous invariant probability measure μ with exponential decay of correlations, and we also present the explicit upper bounds on the rate. Moreover, we show the exponential loss of memory for a sequential dynamical system consisting of piecewise convex maps.

Keywords: convex; correlations memory; decay correlations; convex maps; loss

Journal Title: Dynamical Systems
Year Published: 2021

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