1983•Proceedings of the American Mathematical SocietyOpen access

Approximating the Absolutely Continuous Measures Invariant Under General Maps of the Interval

Abraham Boyarsky

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Abstract

Let $\tau :I \to I$ be a nonsingular, piecewise continuous transformation which admits a unique absolutely continuous invariant measure $\mu$ with density function ${f^ * }$. The main result establishes the fact that ${f^ * }$ can be approximated weakly by the density functions of a sequence of measures invariant under piecewise linear Markov maps $\left \{ {{\tau _n}} \right \}$ which approach $\tau$ uniformly.

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Let $\tau :I \to I$ be a nonsingular, piecewise continuous transformation which admits a unique absolutely continuous invariant measure $\mu$ with density function ${f^ * }$. The main result establishes the fact that ${f^ * }$ can be approximated weakly by the density functions of a sequence of measures invariant under piecewise linear Markov maps $\left \{ {{\tau _n}} \right \}$ which approach $\tau$ uniformly.

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Available abstract

Let $\tau :I \to I$ be a nonsingular, piecewise continuous transformation which admits a unique absolutely continuous invariant measure $\mu$ with density function ${f^ * }$. The main result establishes the fact that ${f^ * }$ can be approximated weakly by the density functions of a sequence of measures invariant under piecewise linear Markov maps $\left \{ {{\tau _n}} \right \}$ which approach $\tau$ uniformly.

Key concepts: Absolute continuity, Mathematics, Invariant measure, Piecewise, Invariant (physics), Invertible matrix, Markov chain, Piecewise linear function

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