Perov's Contraction Principle and Dynamic Programming with Stochastic Discounting
Alexis Akira Toda
Papers from arXiv.org
Abstract:
This paper shows the usefulness of Perov's contraction principle, which generalizes Banach's contraction principle to a vector-valued metric, for studying dynamic programming problems in which the discount factor can be stochastic. The discounting condition $\beta
Date: 2021-03, Revised 2021-09
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Persistent link: https://EconPapers.repec.org/RePEc:arx:papers:2103.14173
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