Invariant Probabilities of Markov-Feller Operators and Their Supports

Invariant Probabilities of Markov-Feller Operators and Their Supports
-0 %
Der Artikel wird am Ende des Bestellprozesses zum Download zur Verfügung gestellt.
 eBook
Sofort lieferbar | Lieferzeit: Sofort lieferbar

Unser bisheriger Preis:ORGPRICE: 62,84 €

Jetzt 58,83 €* eBook

Artikel-Nr:
9783764373443
Veröffentl:
2005
Einband:
eBook
Seiten:
113
Autor:
Radu Zaharopol
Serie:
Frontiers in Mathematics
eBook Typ:
PDF
eBook Format:
Reflowable eBook
Kopierschutz:
Digital Watermark [Social-DRM]
Sprache:
Englisch
Beschreibung:

In this book invariant probabilities for a large class of discrete-time homogeneous Markov processes known as Feller processes are discussed. These Feller processes appear in the study of iterated function systems with probabilities, convolution operators, certain time series, etc. Rather than dealing with the processes, the transition probabilities and the operators associated with these processes are studied.

Main features:
- an ergodic decomposition which is a "reference system" for dealing with ergodic measures
- "formulas" for the supports of invariant probability measures, some of which can be used to obtain algorithms for the graphical display of these supports
- helps to gain a better understanding of the structure of Markov-Feller operators, and, implicitly, of the discrete-time homogeneous Feller processes
- special efforts to attract newcomers to the theory of Markov processes in general, and to the topics covered in particular
- most of the results are new and deal with topics of intense research interest.

In this book invariant probabilities for a large class of discrete-time homogeneous Markov processes known as Feller processes are discussed. These Feller processes appear in the study of iterated function systems with probabilities, convolution operators, certain time series, etc. Rather than dealing with the processes, the transition probabilities and the operators associated with these processes are studied.Main features:- an ergodic decomposition which is a "e;reference system"e; for dealing with ergodic measures- "e;formulas"e; for the supports of invariant probability measures, some of which can be used to obtain algorithms for the graphical display of these supports- helps to gain a better understanding of the structure of Markov-Feller operators, and, implicitly, of the discrete-time homogeneous Feller processes- special efforts to attract newcomers to the theory of Markov processes in general, and to the topics covered in particular- most of the results are new and deal with topics of intense research interest.

In this book invariant probabilities for a large class of discrete-time homogeneous Markov processes known as Feller processes are discussed. These Feller processes appear in the study of iterated function systems with probabilities, convolution operators, certain time series, etc. Rather than dealing with the processes, the transition probabilities and the operators associated with these processes are studied.

Main features:
- an ergodic decomposition which is a "reference system" for dealing with ergodic measures
- "formulas" for the supports of invariant probability measures, some of which can be used to obtain algorithms for the graphical display of these supports
- helps to gain a better understanding of the structure of Markov-Feller operators, and, implicitly, of the discrete-time homogeneous Feller processes
- special efforts to attract newcomers to the theory of Markov processes in general, and to the topics covered in particular
- most of the results are new and deal with topics of intense research interest.

Introduction.- 1. Preliminaries on Markov-Feller Operators.- 2. The KBBY Decomposition.- 3. Unique Ergodicity.- 4. Equicontinuity.- Bibliography.- Index

Kunden Rezensionen

Zu diesem Artikel ist noch keine Rezension vorhanden.
Helfen sie anderen Besuchern und verfassen Sie selbst eine Rezension.