Canonical Gibbs Measures Some Extensions of de Finetti's Representat

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760 H. 0. Georgii

Canonical Gibbs Measures Some Extensions of de Finetti's Representation Theorem for Interacting Particle Systems

Springer-Verlag Berlin Heidelberg New York 1979

Author H. 0. Georgii Fakultat fOr Mathematik Universitat Bielefeld Postfach 8640 D-4800 Bielefeld

AMS Subject Classifications (1970): 60 K35, 82A60

ISBN 3-540-09712-0 Springer-Verlag Berlin Heidelberg New York ISBN 0-387-09712-0 Springer-Verlag New York Heidelberg Berlin Library of Congress Cataloging in Publication Data Georgii, Hans-Otto. Canonical Gibbs measures. (Lecture notes in mathematics; v. 760) Bibliography: p. Includes index. 1. Probabilities. 2. Representations of groups. 3. Measure theory. I. Title. II. Title: Gibbs measures. Ill. Title: De Finetti's representation theorem. IV. Series: Lecture notes in mathematics (Berlin); v. 760. OA3.L28 no. 760 [OC20.7.P7]510'.8s [519.2]79-23184 ISBN 0-387-09712-0

This work is subject to copyright. All rights are reserved, whether the whole or part of the material is concerned, specifically those of translation, reprinting, re-use of illustrations, broadcasting, reproduction by photocopying machine or similar means, and storage in data banks. Under§ 54 of the German Copyright Law where copies are made for other than private use, a fee is payable to the publisher, the amount of the fee to be determined by agreement with the publisher

© by Springer-Verlag Berlin Heidelberg 1979 Printed in Germany Printing and binding: Beltz Offsetdruck, Hemsbach/Bergstr. 2141/3140-543210

Contents

Introduction

§ 1 Basic concepts 1.1 The discrete model 1.2 The continuous model § 2 Equilibrium states for systems of moving particles

2.1 2.2

Particle motions in the discrete model Particle motions in the continuous model

§ 3 Spatially homogeneous models

3.1 The variational principle 3.2 The free energy as a function of time

§ 4 Independent models 4.1 The discrete case 4.2 The continuous case § 5 Discrete models with interaction

§ 6

2

15 29 29

39 64 64

78 91 91 104 110

5.1 Formulation of results 5.2 Conditional probabilities and the activity function 5.3 Estimating the activity function

110 118 132

Continuous models with interaction

139

6.1 6.2 6.3

139 146 159

Formulation of results Conditional densities and the a~tivity functions Estimating the activity functions

§ 7 Some further results on homogeneous models

170

7.1 Properties of the activity function 7.2 The equivalence of ensembles

170 174

References

182 188

Index

Introduction

Symmetric probability measures on the infinite product

F

~

of a set F (equiped with theory:

a

X

F

X

a - algebra) are a well-known concept in probability

A probability measure on

is said to be symmetric if it is invariant under

~

the group of those transformations of

~

which are defined by a permutation of finite-

ly many coordinates. Apparently the first place in which this notion appeared was a contribution of J. Haag in

1924 .

to the International Congress of Mathematicians at Toronto

B. de Finetti

(1931)

probability measures. Fo