Dr Andrew Allan andrew.l.allan@durham.ac.uk
Assistant Professor
Ergodic backward stochastic difference equations
Allan, Andrew L.; Cohen, Samuel N.
Authors
Samuel N. Cohen
Abstract
We consider ergodic backward stochastic differential equations in a discrete time setting, where noise is generated by a finite state Markov chain. We show existence and uniqueness of solutions, along with a comparison theorem. To obtain this result, we use a Nummelin splitting argument to obtain ergodicity estimates for a discrete time Markov chain which hold uniformly under suitable perturbations of its transition matrix. We conclude with an application of this theory to a treatment of an ergodic control problem.
Citation
Allan, A. L., & Cohen, S. N. (2016). Ergodic backward stochastic difference equations. Stochastics: An International Journal of Probability and Stochastic Processes, 88(8), 1207-1239. https://doi.org/10.1080/17442508.2016.1224881
Journal Article Type | Article |
---|---|
Acceptance Date | Aug 5, 2016 |
Online Publication Date | Sep 2, 2016 |
Publication Date | 2016 |
Deposit Date | Jan 24, 2023 |
Publicly Available Date | Jan 26, 2023 |
Journal | Stochastics |
Print ISSN | 1744-2508 |
Electronic ISSN | 1744-2516 |
Publisher | Taylor and Francis Group |
Peer Reviewed | Peer Reviewed |
Volume | 88 |
Issue | 8 |
Pages | 1207-1239 |
DOI | https://doi.org/10.1080/17442508.2016.1224881 |
Public URL | https://durham-repository.worktribe.com/output/1184815 |
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Accepted Journal Article
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Copyright Statement
This is an Accepted Manuscript of an article published by Taylor & Francis in Stochastics on 02 September 2016, available at: http://www.tandfonline.com/10.1080/17442508.2016.1224881
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