Invariant and ergodic measures for G-diffusion processes
Mingshang Hu, Hanwu Li, Falei Wang, Guoqiang Zheng

TL;DR
This paper investigates invariant and ergodic measures for G-diffusion processes, revealing unique measures under G-expectation and highlighting differences from classical cases.
Contribution
It establishes the existence and uniqueness of invariant and ergodic measures for G-SDEs driven by G-Brownian motion within the G-expectation framework.
Findings
Unique invariant measures for G-SDEs
Invariant and ergodic measures are sublinear expectations
Invariant measures may differ from ergodic measures
Abstract
In this paper we study the problems of invariant and ergodic measures under G-expectation framework. In particular, the stochastic differential equations driven by G-Brownian motion have the unique invariant and ergodic measures. Moreover, the invariant and ergodic measures of G-SDEs are also sublinear expectations. However, the invariant measures may not coincide with ergodic measures, which is different from the classical case.
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Taxonomy
TopicsAdvanced Mathematical Modeling in Engineering · Stochastic processes and financial applications · advanced mathematical theories
