000			02097nam a22003378i 4500
001			CR9780511618628
003			UkCbUP
005			20200124160255.0
006			m|||||o||d||||||||
007			cr||||||||||||
008			090915s2007||||enk o ||1 0|eng|d
020			_a9780511618628 (ebook)
020			_z9780521825658 (hardback)
020			_z9780521532723 (paperback)
040			_aUkCbUP _beng _erda _cUkCbUP
050	0	0	_aQA614.835 _b.B53 2007
082	0	0	_a515/.39 _222
100	1		_aBhattacharya, R. N. _q(Rabindra Nath), _d1937- _eauthor.
245	1	0	_aRandom dynamical systems : _btheory and applications / _cRabi Bhattacharya, Mukul Majumdar.
264		1	_aCambridge : _bCambridge University Press, _c2007.
300			_a1 online resource (xv, 463 pages) : _bdigital, PDF file(s).
336			_atext _btxt _2rdacontent
337			_acomputer _bc _2rdamedia
338			_aonline resource _bcr _2rdacarrier
500			_aTitle from publisher's bibliographic system (viewed on 05 Oct 2015).
520			_aThis 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.
650		0	_aRandom dynamical systems.
700	1		_aMajumdar, Mukul, _d1944- _eauthor.
776	0	8	_iPrint version: _z9780521825658
856	4	0	_uhttps://doi.org/10.1017/CBO9780511618628
999			_c519890 _d519888