Optimal transportation and stationary measures for iterated function systems
Keyword(s):
Abstract In this paper we show how ideas, methods and results from optimal transportation can be used to study various aspects of the stationary measures of Iterated Function Systems equipped with a probability distribution. We recover a classical existence and uniqueness result under a contraction-on-average assumption, prove generalised moment bounds from which tail estimates can be deduced, consider the convergence of the empirical measure of an associated Markov chain, and prove in many cases the Lipschitz continuity of the stationary measure when the system is perturbed, with as a consequence a “linear response formula” at almost every parameter of the perturbation.
2018 ◽
Vol 7
(3.31)
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pp. 126
2013 ◽
Vol 59
(2)
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pp. 281-298
2016 ◽
Vol 49
(27)
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pp. 274001
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2017 ◽
Vol 55
(2)
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pp. 119-142
2021 ◽
Vol 138
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pp. 186-211