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Table of contents

Volume 52

Number 2, April 1997

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PAPERS ON THE MATHEMATICAL ACTIVITY OF R.L. DOBRUSHIN

251

Contents §1. Phase transitions §2. Gibbsian random fields (the DLR-definition and everything about it) §3. Markov processes with local interaction §4. The Wulff construction and the theory of large deviations in a two-phase region

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SCIENTIFIC PAPERS IN HONOUR OF R.L. DOBRUSHIN

285

and

Contents §1. Introduction §2. Construction of the potential §3. `Non-Gibbsian' behaviour of the projection and the meniscus theorem

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299

Contents §1. Introduction 1.1. History 1.2. About the main result §2. Homogeneous walks: one-sided environment 2.1. Definitions 2.2. Classification 2.3. Invariant measures 2.4. One-dimensional case 2.4.1. (+)-measures 2.4.2. (–)-measures 2.4.3. (0)-measures 2.5. ( + , + , ... , +)-measures 2.6. Coexistence of different measure types 2.7. Main uniqueness result 2.8. About explicit formulae 2.8.1. One dimension 2.8.2. Simple invariant measures 2.8.3. General case §3. EIRW in 3.1. Definitions 3.2. Induced chains 3.3. One-dimensional case 3.3.1. Transient case 3.3.2. Ergodic case 3.3.3. The case of null recurrence 3.3.4. Absence of SIC 3.4. Escape to infinity along the interior 3.5. Invariant measures for the induced chains 3.6. Euler limit 3.7. Escape to infinity along a face §4. Macroprocesses on 4.1. Scaled dynamics on the measure bundle 4.2. Collision operators in the 2-dimensional case 4.3. Deterministic reflections 4.4. Classification theorem in 2 dimensions 4.5. Local Lyapunov functions 4.6. General definition of collision operators §5. Macroprocesses on compact measure bundles 5.1. Main theorem §6. Applications 6.1. Applications - non-commutative groups 6.2. Other environments 6.2.1. Double-sided evolution 6.3. Random Turing machine 6.4. Multiclass queuing networks 6.5. Neural networks

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327

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Contents §1. Introduction §2. Diffusion process on the straight line with a flexible screen at zero §3. Final formulation of the result §4. Proof of Theorem 3. The construction of the approximating sequence fn

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341

Contents §1. Introduction §2. Lattice models §3. Strongly convex functions §4. Basic results §5. Bounds for the differences of Gibbsian densities with different boundary conditions §6. Proof of Theorem 1

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349

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Contents §1. Introduction §2. Entropy-regular and entropy-singular processes §3. Formulation of the results §4. Proof of the theorem

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359

Contents §1. Definition of a fractional Brownian motion. The main result §2. Explicit formulae for and . Asymptotic behaviour of §3. Investigation of , §4. Completion of the proof of the main theorem. Concluding remarks.

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COMMUNICATIONS OF THE MOSCOW MATHEMATICAL SOCIETY

MATHEMATICAL EVENTS

437

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