Random dynamical systems: theory and applications
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 processe...
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Format: | Elektronisch E-Book |
Sprache: | English |
Veröffentlicht: |
Cambridge
Cambridge University Press
2007
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Schlagworte: | |
Online-Zugang: | BSB01 FHN01 Volltext |
Zusammenfassung: | 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 |
Beschreibung: | Title from publisher's bibliographic system (viewed on 05 Oct 2015) |
Beschreibung: | 1 online resource (xv, 463 pages) |
ISBN: | 9780511618628 |
DOI: | 10.1017/CBO9780511618628 |
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500 | |a Title from publisher's bibliographic system (viewed on 05 Oct 2015) | ||
520 | |a 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 | ||
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Datensatz im Suchindex
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author | Bhattacharya, R. N. 1937- |
author_facet | Bhattacharya, R. N. 1937- |
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author_sort | Bhattacharya, R. N. 1937- |
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dewey-ones | 515 - Analysis |
dewey-raw | 515/.39 |
dewey-search | 515/.39 |
dewey-sort | 3515 239 |
dewey-tens | 510 - Mathematics |
discipline | Mathematik Wirtschaftswissenschaften |
doi_str_mv | 10.1017/CBO9780511618628 |
format | Electronic eBook |
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indexdate | 2024-07-10T07:39:19Z |
institution | BVB |
isbn | 9780511618628 |
language | English |
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spelling | Bhattacharya, R. N. 1937- Verfasser aut Random dynamical systems theory and applications Rabi Bhattacharya, Mukul Majumdar Cambridge Cambridge University Press 2007 1 online resource (xv, 463 pages) txt rdacontent c rdamedia cr rdacarrier Title from publisher's bibliographic system (viewed on 05 Oct 2015) 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 Random dynamical systems Stochastischer Prozess (DE-588)4057630-9 gnd rswk-swf Dynamisches System (DE-588)4013396-5 gnd rswk-swf Dynamisches System (DE-588)4013396-5 s Stochastischer Prozess (DE-588)4057630-9 s 1\p DE-604 Majumdar, Mukul 1944- Sonstige oth Erscheint auch als Druckausgabe 978-0-521-53272-3 Erscheint auch als Druckausgabe 978-0-521-82565-8 https://doi.org/10.1017/CBO9780511618628 Verlag URL des Erstveröffentlichers Volltext 1\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk |
spellingShingle | Bhattacharya, R. N. 1937- Random dynamical systems theory and applications Random dynamical systems Stochastischer Prozess (DE-588)4057630-9 gnd Dynamisches System (DE-588)4013396-5 gnd |
subject_GND | (DE-588)4057630-9 (DE-588)4013396-5 |
title | Random dynamical systems theory and applications |
title_auth | Random dynamical systems theory and applications |
title_exact_search | Random dynamical systems theory and applications |
title_full | Random dynamical systems theory and applications Rabi Bhattacharya, Mukul Majumdar |
title_fullStr | Random dynamical systems theory and applications Rabi Bhattacharya, Mukul Majumdar |
title_full_unstemmed | Random dynamical systems theory and applications Rabi Bhattacharya, Mukul Majumdar |
title_short | Random dynamical systems |
title_sort | random dynamical systems theory and applications |
title_sub | theory and applications |
topic | Random dynamical systems Stochastischer Prozess (DE-588)4057630-9 gnd Dynamisches System (DE-588)4013396-5 gnd |
topic_facet | Random dynamical systems Stochastischer Prozess Dynamisches System |
url | https://doi.org/10.1017/CBO9780511618628 |
work_keys_str_mv | AT bhattacharyarn randomdynamicalsystemstheoryandapplications AT majumdarmukul randomdynamicalsystemstheoryandapplications |