Random dynamical systems : theory and applications
著者
書誌事項
Random dynamical systems : theory and applications
Cambridge University Press, 2007
- : hardback
- : pbk.
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注記
Includes bibliographical references (p. 435-451) and indexes
内容説明・目次
内容説明
This treatment provides an exposition of discrete time dynamic processes evolving over an infinite horizon. Chapter 1 reviews some mathematical results from the theory of deterministic dynamical systems, with particular emphasis on applications to economics. The theory of irreducible Markov processes, especially Markov chains, is surveyed in Chapter 2. Equilibrium and long run stability of a dynamical system in which the law of motion is subject to random perturbations is the central theme of Chapters 3-5. A unified account of relatively recent results, exploiting splitting and contractions, that have found applications in many contexts is presented in detail. Chapter 6 explains how a random dynamical system may emerge from a class of dynamic programming problems. With examples and exercises, readers are guided from basic theory to the frontier of applied mathematical research.
目次
- 1. Dynamical systems
- 2. Markov processes
- 3. Random dynamical systems
- 4. Random dynamical systems: special structures
- 5. Invariant distributions: estimations and computation
- 6. Discounted dynamic programming under uncertainty
- 7. Appendix.
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