Stochastic Dynamics, born almost 100 years ago with the early explanations of Brownian motion by physicists, is nowadays a quickly expanding field of research within nonequilibrium statistical physics. The present volume provides a survey on the influence of fluctuations in nonlinear dynamics. It addresses specialists, although the intention of this book is to provide teachers and students with a reliable resource for seminar work. In particular, the reader will find many examples illustrating the theory as well as a host of recent findings.
Lutz Schimansky-Geier
Branching process Brownian motion Gaussian noise Markov chain Stochastic processes cluster granular matter molecule nonlinear dynamics particles statistical physics statistics stochastic process stochastic resonance stochastics