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Gruncllehren cler mathematischen Wissenschaften 324 A Series of Comprehensive Studies in Mathematics Editors S. S. Chern B. Eckmann P. de la Harpe H. Hironaka F. Hirzebruch N. Hitchin L. Hormander M.-A. Knus A. Kupiainen J. Lannes G. Lebeau M. Ratner D. Serre Ya.G. Sinai N. J. A. Sloane J.Tits M. Waldschmidt S. Watanabe Managing Editors M. Berger J. Coates S.R.S. Varadhan Springer-Verlag Berlin Heidelberg GmbH Thomas M. Liggett Stochastic Interacting Systellls: Contact, Voter and Exclusion Processes With 6 Figures Springer Thomas M. Liggett Mathematics Department University of California Los Angeles, CA 90095-1555 USA email: [email protected] Cataloging-in-Publication Data applied for Die Deutsche Bibliothek - CIP-Einheitsaufnahme Liggett, Thomas M.: Stochastic interacting systems: contact, voter and exclusion processes / Thomas M. Liggett. - Berlin; Heidelberg; New York; Barcelona; Hong Kong; London; Milan; Paris; Singapore; Tokyo: Springer 1999 (Grundlehren der mathematischen Wissenschaften; 324) Mathematics Subject Classification (1991): 60K35 ISSN 0072-7830 ISBN 978-3-642-08529-1 ISBN 978-3-662-03990-8 (eBook) 001 10.1007/978-3-662-03990-8 This work is subject to copyright. All rights are reserved, whether the whole or part of the material is concerned, specifically the rights of translation, reprinting, reuse of illustrations, recitation, broadcasting, reproduction on microfilm or in any other way, and storage in data banks. Duplication of this publication or parts thereof is permitted only under the provisions of the German Copyright Law of September 9,1965, in its current version, and permission for use must always be obtained from Springer-Verlag. Violations are liable for prosecution under the German Copyright Law. © Springer-Verlag Berlin Heidelberg 1999 Originally published by Springer-Verlag Berlin Heidelberg New York in 1999. Softcover reprint of the hardcover 1st edition 1999 Cover design: MetaDesign plus GmbH, Berlin Typesetting: Photocomposed from the author's AMSTEX files after editing and reformatting by Kurt Mattes, Heidelberg, using a Springer TEX macro-package Cover design: de'blik, Berlin SPIN: 10728278 41/3143-543210 Printed on acid-free paper Preface Interacting particle systems is a branch of probability theory that has rich con nections with a number of areas of science - primarily physics in the early days, but increasingly biology and the social sciences today. Stochastic processes of the sort that are studied in this field are used to model magnetism, spatial competition, tumor growth, spread of infection, and certain economic systems, to mention but a few of the many areas of application. The subject is by now about thirty years old. At the midpoint of that thirty year period, I wrote the book Interacting Particle Systems (IPS) as an attempt to give some order to the work that had been done by then, and to make the field more accessible to new researchers, and more useful to workers in areas of application. Judging from the rapid development of the field since then, this attempt appears to have been successful. My earlier book covered more or less the entire field, as it was at that time. Even so, some topics, such as zero range processes and the then emerging area of hydrodynamics, were mentioned only briefly. By now, the field has grown to the point where it would be impossible to cover it entirely in one book. In fact, a number of books that treat special topics within the field have appeared in the interim - see for example Chen (1992), DeMasi and Presutti (1991), Durrett (1988), Kipnis and Landim (1999), Konno (1994), and Spohn (1991). IPS was organized horizontally, in that a separate chapter was devoted to each type of model: stochastic Ising models, voter models, contact processes, nearest particle systems, exclusion processes, and linear systems. The present book has a more vertical appearance. It takes but three of these models - the ones given in the title - and traces their development since 1985. Nearest particle systems are omitted because, even though substantial progress has been made on them since 1985 (especially by T. Mountford), they are by their nature somewhat special. Linear systems are omitted because they have been less active recently, while stochastic Ising models are omitted because developments in that area alone would justify an entire book. Even my relatively modest objective of covering recent work on three models cannot be attained in a book of reasonable size, so I have had to make some choices about what to include. These choices reflect to some extent, of course, my own interests and perspective on the field. Other work on these models is described briefly in the Notes and References section for each of the three parts. VI Preface I have tried to make the treatment as self-contained as possible without dupli cating too much of the contents of IPS. The initial section on background material, as well as the initial Preliminaries section of each of the three main parts, should help in this regard. This book is an outgrowth of my Wald Memorial Lectures - see Liggett (1997) - that also dealt primarily with contact, voter and exclusion processes. One of the advantages of this selection of topics is that it provides illustrations of the use of some of the most important tools in the area: percolation and graphical techniques (Part I), correlation inequalities (Part I), duality (Parts I and II), coupling (Parts I and III), and partial differential equations (Part III). It should not be expected that many models that come up in applications will fit exactly into one of the three classes we consider here. The hope, rather, is that a good understanding of the behavior of these classes and of the tools used in their analysis will facilitate the analysis of new models that arise. It should be clear from the above comments that the present book is in no sense a second edition of IPS. It is also not really a second volume. I hope it will playa role similar to that of IPS, though, as a reference for workers in probability and areas of application, as well as an advanced text. There is plenty of material in it for a semester course, and by adding lectures based on the papers discussed in the Notes and References sections, it can easily be extended to a full year. The mathematical prerequisites for reading this book are year-long courses in analysis and probability - a probability course based on Durrett (1996), for example. We tum now to a brief survey of the contents of this book. The contact process has been one of the central models in the subject since its introduction by T. Harris over twenty years ago. The theory as of 1985 was primarily one dimensional. Very little was known in higher dimensions. Developments during the past decade have therefore rendered much of Chapter VI of IPS largely out of date. The primary exception to this is the first section, on critical value bounds. Here only minor improvements have been made. As a consequence, our treatment of the contact process in the first part of this book starts almost from the beginning. The critical value bounds from IPS are stated in the Preliminaries section. While the proofs from IPS are not repeated, a more elaborate version of the argument plays a dominant role in Part II of this book. Until the early 1990's, the contact process was studied almost exclusively on the d-dimensional integer lattice Zd. Sections 2 and 3 of Part I explain some of these developments. Section 2 is primarily devoted to the advances by Bezuiden hout and Grimmett (1990, 1991) that more or less completed the Zd theory, showing among other things that the critical contact process dies out. Section 3 is dedicated to several results that address the following natural question: Since real systems are finite, and contact processes on finite sets die out with probability one, how can the phase transitions that occur on infinite sets have any bearing on our understanding of real systems? Section 4 traces the development of the theory of contact processes on ho mogeneous trees. Interest in this comes from the fact that an intermediate phase Preface VII occurs in this context that is absent in the case of Zd. Briefly, the contact process on Zd has one critical value, while the contact process on a homogeneous tree (other than Z 1) has two distinct critical values. Between these two critical values, the finite process survives globally, but dies out locally. Unlike Zd, the tree is large enough that the infected set can wander out to infinity without dying out, but this can only happen for intermediate values of the infection parameter. The story is quite different for voter models. The voter models discussed in Chapter V of IPS are what are now known as linear voter models. Their ergodic theory was more or less completed in IPS. While significant progress has been made on linear voter models since then, and is discussed in the Notes and Refer ences section, the focus of Part II is on their nonlinear cousins. Nonlinear voter models require quite a different approach, primarily because their duals (when they exist) are harder to analyze. While the theory of nonlinear voter models is still very far from being complete, there are close connections to the contact process, and this makes it a natural candidate for inclusion in this book. The main theorem in Part II gives a complete classification of threshold voter models with threshold level = 1. The proof given there is a substantial improvement over my original treatment, which was computer aided and contained a serious error. The situation for exclusion processes is again different. The material in Chapter VIII of IPS has in general not been superceded by subsequent developments. However, there is a whole new collection of issues that have been investigated, and it is to these that we address our attention in the final part of this book. We again omit a treatment of the by now mature area of hydrodynamics, partly because it is well covered in the books of De Masi and Presutti (1991), Spohn (1991), and Kipnis and Landim (1999), and partly because it has quite a different flavor from the topics we will cover here. The first main section of Part III gives a probabilistic treatment of shocks in the asymmetric, nearest neighbor, exclusion process in one dimension, based on work by Ferrari and his coauthors. The main technique used here is coupling. Then we move to a more analytic treatment of roughly the same issues that was developed by Derrida and his coworkers. This is known as the matrix approach. Finally, we turn to central limit theorems for tagged particles in more general exclusion processes, based on work of Varadhan and coauthors. IPS has a treatment of this only in the case of the symmetric, nearest neighbor, one-dimensional system, which has a different behavior than the general system considered here. The Background and Tools section at the beginning of the book describes the basic particle system setup, and some of the key techniques that are useful in the analysis of many models - coupling, monotonicity, correlation inequalities and subadditivity, for example. These first few subsections should be read before ven turing into the book proper, but the latter subsections can be skipped, and read when they are used later on. Each of the three parts begins with a brief description of that particular model, and gives precise statements of results from the corre sponding chapters ofIPS (or from other references) that are used later. With this exception, the numbered sections within each part are largely self-contained. Each VIII Preface part ends with a Notes and References section that has two functions. First, it details the sources of the material in that part. Secondly, it contains brief descrip tions of the large amount of related work that I have not been able to include in the book itself. While this book is more or less self-contained, the reader may find that reading parts of IPS first makes the going easier. Here are my suggestions about what parts of IPS to read in this case: (a) The first four sections of Chapter I and the first three sections of Chapter II before starting this book. (b) The first three sections of Chapter VI before reading Part I. (c) The first two sections of Chapter V before reading Part II. (d) The first three sections of Chapter VIII before reading Part III. A popular (I think) feature of IPS was its sets of open problems. I have not attempted to do anything formal of this sort here. There are simply too many open problems, and many of them are not directly about the three types of models I treat here, but rather about other models that are nevertheless closely related to contact, voter and exclusion processes. However, I do mention problems that I think should be looked at when they arise naturally, mainly in the Notes and References sections. As I mentioned in the preface to IPS, my wife Chris had a lot to do with my writing that book. For the last several years, she has been lobbying for a follow-up. It took a while, but she finally got it. In the earlier preface, I mentioned some of the people who had had the most impact on my work, as well as on the subject as a whole. Most have continued to be leaders in the field, but they have now been joined by a large and impressive group of younger mathematicians. I won't list them here, but most appear prominently in the bibliography. One of the measures of a field of research is the caliber of researcher that it attracts. By this measure, interacting particle systems has been a great success. Pablo Ferrari, Norio Konno, Tom Mountford, Roberto Schonmann, and espe cially my former students, Amber Puha and Li-Chau Wu, have read parts of this book, and made suggestions for improvement - I very much appreciate their input. I would like to acknowledge the National Science Foundation for its support of my work over the past quarter of a century, and the Guggenheim Foundation for freeing my time in 1997-98, so that I could devote much of it to writing this book. Without their support, this work would not have been possible. Los Angeles, CA Thomas M Liggett March I, 1999 Contents Background and Tools The Processes Invariant Measures 4 Reversible Measures 5 Coupling, Monotonicity and Attractiveness 6 Correlation Inequalities 8 Duality ...... . 11 Subadditivity 12 Oriented Percolation 13 Domination by Product Measures 14 Renewal Sequences and Logconvexity 16 Translation Invariant Measures 21 Some Ergodic Theory 22 Branching Processes 25 Some Queuing Theory 26 The Martingale CLT 29 Part I. Contact Processes 31 1. Preliminaries 31 Description of the Process 31 The Graphical Representation; Additivity 32 The Upper Invariant Measure 34 Duality ........... . 35 Convergence ........ . 36 Monotonicity and Continuity in A 38 Rate of Growth ......... . 40 Survival and Extinction; Critical Values 42 Preview of Part I ........... . 44 2. The Process on the Integer Lattice Zd 44 The Boundary of a Big Box Has Many Infected Sites 45 The Finite Space-Time Condition ........ . 50 Comparison with Oriented Percolation ..... . 51 First Consequences of the Percolation Comparison 54 X Contents Exponential Bounds in the Supercritical Case 57 Exponential Decay Rates in the Sub critical Case 60 A Critical Exponent Inequality 69 3. The Process on {I, ... , N}d 71 The Subcritical Case . 72 The Supercritical Case ... 74 4. The Process on the Homogeneous Tree Td 78 Some Critical Value Bounds ....... 79 Branching Random Walk . . . . . . . 80 Back to the Contact Process - the Function ¢ 86 Extinction at the First Critical Value ..... 91 Existence of an Intermediate Phase 94 The Sequence u and its Growth Parameter f3()...) 96 The Complete Convergence Theorem 103 Continuity of the Survival Probability 104 The Growth Profile .......... 105 Invariant Measures in the Intermediate Regime - First Construction 109 Invariant Measures in the Intermediate Regime - Second Construction 119 Strict Monotonicity of f3()...) 123 5. Notes and References 125 Part II. Voter Models 139 1. Preliminaries 139 Description of the Process 139 Clustering and Coexistence 140 The Linear Voter Model .. 140 The Threshold Voter Model 142 The Graphical Representation 142 Duality when T = 1 143 Preview of Part II ...... 145 2. Models with General Threshold and Range 146 Fixation for Large Thresholds ....... 146 Clustering in One Dimension ........ 147 Coexistence; the Threshold Contact Process 151 The Threshold Contact Process with Large Range 153 The Threshold Voter Model with Large Range 155 3. Models with Threshold = 1 ........... 155 Duality for the Threshold Contact Process, T = 1 156 Reduction to One Dimension 158 The Convolution Equation 159 The Density .......... 162

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