Markov Processes, Brownian Motion, and Time Symmetry

From the reviews of the First Edition: "This excellent book is based on several sets of lecture notes written over a decade and has its origin in a one-semester course given by the author at the ETH, Zürich, in the spring of 1970. The author's aim was to

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Series Editors

M. Berger S.S. Chern B. Eckmann P. de la Harpe F. Hirzebruch N. Hitchin L. Hörmander M.-A. Knus A. Kupiainen G. Lebeau M. Ratner D. Serre Ya. G. Sinai N.J.A. Sloane B. Totaro A. Vershik M. Waldschmidt Editors-in-Chief

A. Chenciner

J. Coates

S.R.S. Varadhan

Kai Lai Chung and John B. Walsh

Markov Processes, Brownian Motion, and Time Symmetry Second Edition

Berlin Heidelberg New York Hong Kong London Milan Paris Tokyo

Kai Lai Chung Department of Mathematics Stanford University Stanford, CA 94305 USA

John B. Walsh Mathematics Department University of British Columbia Vancouver, BC V6T 1Z2 Canada

AMS Subject Classifications (2000): 60Jxx, 60J65

Library of Congress Cataloging in Publication Data Chung, Kai Lai Markov processes, Brownian motion, and time symmetry / Kai Lai Chung, John B. Walsh. p. cm. Includes bibliographical references and index. ISBN 0-387-22026-7 1. Markov processes. 2. Brownian motion processes. I. Walsh, John B. II. Title. QA274.7.C52 2004 519.2 33- -dc22 2004048547 ISBN-10: 0-387-22026-7 ISBN-13: 978-0387-22026-0

Printed on acid-free paper.

© 2005, 1982 Springer Science+Business Media Inc. All rights reserved. This work may not be translated or copied in whole or in part without the written permission of the publisher (Springer Science+Business Media, Inc., 233 Spring Street, New York, NY 10013, USA), except for brief excerpts in connection with reviews or scholarly analysis. Use in connection with any form of information storage and retrieval, electronic adaptation, computer software, or by similar or dissimilar methodology now known or hereafter developed is forbidden. The use in this publication of trade names, trademarks, service marks, and similar terms, even if they are not identified as such, is not to be taken as an expression of opinion as to whether or not they are subject to proprietary rights. Printed in the United States of America. 9

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Springer is a part of Springer Science+Business Media springeronline.com

Contents

Preface to the New Edition Preface to the First Edition

ix xi

Chapter 1 Markov Process

1

1.1. 1.2. 1.3. 1.4. 1.5.

Markov Property Transition Function Optional Times Martingale Theorems Progressive Measurability and the Section Theorem Exercises Notes on Chapter 1

Chapter 2 Basic Properties 2.1. 2.2. 2.3. 2.4.

Martingale Connection Feller Process Exercises Strong Markov Property and Right Continuity of Fields Exercises Moderate Markov Property and Quasi Left Continuity Exercises Notes on Chapter 2

Chapter 3 Hunt Process 3.1. 3.2. 3.3. 3.4. 3.5. 3.6.

Defining Properties Exercises Analysis of Excessive Functions Exercises Hitting Times Balayage and Fundamental Structure Exercises Fine Properties Exercises Decreasing Limits Exercises

1 6 12 24 37 43 44

45 45 48 55 56 65 66 73 73

75 75 78 80 87 87 96 105 106 115 116 122

vi 3.7. 3.8.

Contents

Recurrence and Transience Exercises Hypothesis (B) Exercises Notes on Chapter 3

Chapter 4 Brownian Motion 4.1. 4.2. 4.3. 4.4. 4.5. 4.6. 4.7.

Spat