Abstract
Random dynamical systems encountered in economics have certain distinctive characteristics that make them particularly well suited to analysis using the tools for studying Markov processes developed by Rabi N. Bhattacharya and his coauthors over the last few decades. In this essay we discuss the significance of these tools for both mathematicians and economists, provide some historical perspective, and review some recent related contributions.
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Notes
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That is, a ≤ x ≤ b for all x ∈ S.
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Note that \(\mathbb{P}\{\exists t \geq 0\ \mathrm{s.t.}\ X_{t}'\preceq X_{t}\} = 1\) must also hold by interchanging the two processes.
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Acknowledgements
This paper was written while the second author was visiting RIEB at Kobe University as a Visiting Researcher. Our research has benefited from financial support from the Japan Society for the Promotion of Science and Australian Research Council Discovery Grant DP120100321.
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Kamihigashi, T., Stachurski, J. (2016). Stability Analysis for Random Dynamical Systems in Economics. In: Denker, M., Waymire, E. (eds) Rabi N. Bhattacharya. Contemporary Mathematicians. Birkhäuser, Cham. https://doi.org/10.1007/978-3-319-30190-7_11
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