Ergodicity of Invariant Capacity

Abstract

In this paper, we investigate capacity preserving transformations and their ergodicity. We show that for any measurable transformation $\theta$ there always exists a $\theta$-invariant capacity. We investigate some limit properties under capacity spaces and then give the concept of ergodicity for a capacity preserving transformation. Based on this definition, we give several characterizations of ergodicity. In particular, we obtain a type of Birkhoff's ergodic theorem and prove that the ergodicity of $\theta$ with respect to an upper probability is equivalent to the strong law of large numbers.

References in corpus (2)

• A strong law of large numbers for capacities
• Ergodicity of Sublinear Markovian Semigroups

Cited by in corpus (3)

• Path Independence of Additive Functionals for SDEs under G-framework
• Ergodicity of Sublinear Markovian Semigroups
• Kantorovich's Mass Transport Problem for Capacities