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Article demonstrates interchangeability of asymptotic convergence and smoothness in random dynamical systems, highlighting stochastic dynamics' properties.
The main objective of this article is to prove that convergence smoothness and asymptotic convergence are interchangeable, as well as to provide some sufficient conditions that ensure the random dynamical system is asymptotically compact. The system of infinite symmetric stochastic dynamics is described using the Kuratowski measure of non-compactness. Additionally, several results are presented at the end of this paper that provide useful criteria for the convergence smoothness and compressibility of stochastic dynamics. Furthermore, we discuss the asymptotic smoothness of random dynamics and explain some key properties of these systems by proving some equivalent statements of the concept. And since the global random attractor is the most practical idea when considering systems with infinite dimensions, it was also discussed in this research. The pointwise decay condition was used more appropriately than the (bounded) decay in some cases.
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Hasan et al. (2025) studied this question.
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