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This article is cited in 7 scientific papers (total in 7 papers)
Controllability implies mixing. I. Convergence in the total variation metric
A. R. Shirikyanab a Université de Cergy-Pontoise, Cergy-Pontoise, France
b National Research University "Moscow Power Engineering Institute", Russia
Abstract:
This paper is the first part of a project to study the interconnection between the controllability properties of a dynamical system and the large-time asymptotics of trajectories for the associated stochastic system. It is proved that the approximate controllability to a given point and the solid controllability from the same point imply the uniqueness of a stationary measure and exponential mixing in the total variation metric. This result is then applied to random differential equations on a compact Riemannian manifold. In the second part of the project, the solid controllability will be replaced by a stabilisability condition, and it will be proved that this is still sufficient for the uniqueness of a stationary distribution, whereas the convergence to it occurs in the weaker dual-Lipschitz metric.
Bibliography: 21 titles.
Keywords:
controllability, ergodicity, exponential mixing.
Received: 25.11.2016
Citation:
A. R. Shirikyan, “Controllability implies mixing. I. Convergence in the total variation metric”, Russian Math. Surveys, 72:5 (2017), 939–953
Linking options:
https://www.mathnet.ru/eng/rm9755https://doi.org/10.1070/RM9755 https://www.mathnet.ru/eng/rm/v72/i5/p165
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Abstract page: | 417 | Russian version PDF: | 82 | English version PDF: | 17 | References: | 47 | First page: | 26 |
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