In and Out of Equilibrium

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The intersection of probability and physics has been a rich and explosive area of growth in the past two decades. This volume contains invited articles by leading probabilists highlighting these advances. Major areas covered include: percolation theory, random walks, interacting particle systems and topics related to statistical mechanics. Graduate students and researchers in probability theory and math physics will find this book a useful reference.

Autorentext
The intersection of probability and physics has been a rich and
explosive area of growth in the past two decades. This volume contains
invited articles by leading probabilists highlighting these advances.
Major areas covered include: percolation theory, random walks,
interacting particle systems and topics related to statistical
mechanics. Graduate students and researchers in probability theory and
math physics will find this book a useful reference.

Zusammenfassung
For more than two decades percolation theory, random walks, interacting parti­ cle systems and topics related to statistical mechanics have experienced inten­ sive growth. In the last several years, especially remarkable progress has been made in a number of directions, such as: Wulff constructions above two dimen­ sions for percolation, Potts and Ising models, classification of random walks in random environments, better understanding of fluctuations in two dimen­ sional growth processes, the introduction and remarkable uses of the Stochastic Loewner Equation, the rigorous derivation of exact intersection exponents for planar Brownian motion, and finally, the proof of conformal invariance for crit­ ical percolation scaling limits on the triangular lattice. It was thus a fortuitous time to bring together researchers, including many personally responsible for these advances, in the framework of the IVth Brazilian School of Probability, held at Mambucaba on August 14-19,2000. This School, first envisioned and organized by IMPA's probability group in 1997, has since developed into an annual meeting with an almost constant format: it usually offers three advanced courses delivered by prominent scientists, combined with a high-level conference. This volume contains invited articles associated with that meeting, and we hope it will provide the reader with an accurate impression regarding the current state of affairs in these important fields of probability theory.

Inhalt
Randomly Coalescing Random Walk in Dimension ? 3.- The Single Droplet Theorem for Random Cluster Models.- Phase Coexistence for the KacIsing Models.- Sharp Estimates for Brownian Non-intersection Probabilities.- Tagged Particle Distributions or How to Choose a Head at Random.- Approach to Fixation for Zero-Temperature Stochastic Ising Models on the Hexagonal Lattice.- Current Fluctuations for the Totally Asymmetric Simple Exclusion Process.- Asymptotic Behaviour of Semi-Infinite Geodesics for Maximal Increasing Subsequences in the Plane.- Hydrodynamic Equation for a Deposition Model.- Time Reversal of Degenerate Diffusions.- Spectral Gap and Logarithmic Sobolev Constant of Kawasaki Dynamics Under a Mixing Condition Revisited.- Directed Percolation and Random Walk.- Entanglement and Rigidity in Percolation Models.- On Critical Values for Some Random Processes with Local Interaction in R2.- The Distribution of the Maximum of a Gaussian Process: Rice Method Revisited.- Gibbs Measures on Brownian Paths.- Geometric and Probabilistic Aspects of Boson Lattice Models.- Thermodynamical Aspects of Classical Lattice Systems.

Weitere Informationen

  • Allgemeine Informationen
    • GTIN 09781461265955
    • Editor Vladas Sidoravicius
    • Sprache Englisch
    • Auflage 2002
    • Größe H235mm x B155mm x T27mm
    • Jahr 2012
    • EAN 9781461265955
    • Format Kartonierter Einband
    • ISBN 1461265959
    • Veröffentlichung 23.10.2012
    • Titel In and Out of Equilibrium
    • Untertitel Probability with a Physics Flavor
    • Gewicht 727g
    • Herausgeber Birkhäuser Boston
    • Anzahl Seiten 484
    • Lesemotiv Verstehen
    • Genre Mathematik

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