Stochastic Analysis and Applications in Physics

Stochastic analysis and its various applications in physics have to a large extent developed symbiotically. In the past decades mathematics has provided physics witb a vast and rapidly expanding array of tools and methods, while on the other hand physics has counted among the sources of direction and of structural intuition for the mathematical research in stochastics. We hope to have captured some of the focal points of this dialogue in the NATO AS! "Stochastic Analysis and its Applications in Physics" and in the present volume. On the mathematical side White Noise Analysis has emerged as a viable frame· work for stochastic and infinite dimensional analysis (Hida, Streit). Another growth point is the theory of stochastic partial differential equations and their applications (8ertini et aI., 0ksendal, Potthoff, Russo, Sinior). Gauge field theories have in creasingly attracted the attention not only of physicists but of mathematicians as well (Gross, Liandre, Sengupta). On the other hand the contributions of Lang and of Vilela Mendes show the extent to which stochastic methods have found a place in the physicists' toolbox. Dirichlet forms provide a fruitful link between the mathematics of Markov processes and fields and the physics of quantum systems (Albeverio et al.). The deterministic-stochastic nterface i was addressed by Collet and by Mandrekar, Euclidean quantum mechanics by Cruzeiro and Zambrini, excursions of diffusions by Truman, and Kubo-Martin·Schwinger norms of statistical mechanics by Streater. So much for a rapid synopsis of the material represented in the present volume.

Klappentext

The intensive exchange between mathematicians and users has led in recent years to a rapid development of stochastic analysis. Of the users, the physicists form perhaps the most important group, giving direction to the mathematicians' research and providing a source of intuition. White noise analysis has emerged as a viable framework for stochastic and infinite dimensional analysis. Another growth area is the theory of stochastic partial differential equations. Gauge field theories are attracting increasing attention. Dirichlet forms provide a fruitful link between the mathematics of Markov processes and the physics of quantum systems. The deterministic--stochastic interface is addressed, as are Euclidean quantum mechanics, excursions of diffusions and the convergence of Markov chains to thermal states. br/

Inhalt
Infinite Dimensional Diffusions, Markov Fields, Quantum Fields and Stochastic Quantization.- Burgers Equation forced by Conservative or Nonconservative Noise.- Statistical Properties of Piecewise Expanding Maps of the Interval.- Euclidean Quantum Mechanics. An outline.- Analysis on Loop Groups.- White Noise Analysis and Applications.- Computer Stochastics in Scalar Quantum Field Theory.- Brownian Motion over a Kahler Manifold and Elliptic Genera of Level N.- On Lyapounov Stability Theorems for Stochastic (Deterministic) Evolution Equations.- Stochastic Techniques in Condensed Matter Physics.- Stochastic Partial Differential Equations and Applications to Hydrodynamics.- White Noise Approach to Parabolic Stochastic Partial Differential Equations.- Colombeau Generalized Functions and Stochastic Analysis.- Constructive Field Theoretic Methods and Stochastic Partial Differential Equations.- Quantum Yang-Mills Theory on Compact Surfaces.- Entropy and KMS Norms.- An Introduction to White Noise Analysis.- Excursion Measures for One-Dimensional Time-Homogeneous Diffusions with Inaccessible and Accessible Boundaries.