Wasserstein convergence rates in the invariance principle for sequential dynamical systems
Abstract In this paper, we consider the convergence rate with respect to the Wasserstein distance in the invariance principle for sequential dynamical systems. We utilize and modify the techniques previously employed for stationary sequences to address our non-stationary case. Under certain assumptions, we can apply our result to a class of dynamical systems, including sequential β n -transformations, piecewise uniformly expanding maps with additive noise in one-dimensional and multidimensional case, and so on.
Authors
- Zhenxin Liu (ORCID: https://orcid.org/0000-0002-6348-8686)
- Zhe Wang (ORCID: https://orcid.org/0009-0002-3397-0938)
Institutions
- Dalian University of Technology (CN)
Publication Details
- Journal
- Nonlinearity
- Published
- 2024-11-07
- DOI
- https://doi.org/10.1088/1361-6544/ad8c1d
- Citations
- 2
- Primary Topic
- Mathematical Dynamics and Fractals
- Type
- article
- Field-Weighted Citation Impact
- 1.78
Funders
- Dalian High-Level Talent Innovation Program
- National Natural Science Foundation of China
- Liaoning Revitalization Talents Program
- National Key Research and Development Program of China