Matthias Gundlach / Hans Crauel (eds.)

Stochastic Dynamics

Mitarbeit:Crauel, Hans; Gundlach, Matthias

• Gebundenes Buch

Produktbeschreibung

This volume gives an account of new and recent developments in the theory of random and, in particular, stochastic dynamical systems. Its purpose is to document and, to some extent, summarise the current state of the field of random dynamical systems beyond the recent monograph, "Random Dynamical Systems" by Ludwig Arnold. The book is intended for an audience of researchers and graduate students from stochastics as well as dynamics. It contains carefully refereed contributions from experts in the field, chosen such that a consistent picture can be given. Recent results on stochastic bifurcation, hyperbolic systems, numerics and asymptotics, more general driving processes for stochastic differential equations, and stochastic analysis on infinite-dimensional manifolds are presented in a comprehensible manner. Several new and exciting insights int o the unexpected variety of dynamical behaviours resulting from the influence of stochastic perturbations are conveyed to the reader.

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The conference on Random Dynamical Systems took place from April 28 to May 2, 1997, in Bremen and was organized by Matthias Gundlach and Wolfgang Kliemann with the help of th'itz Colonius and Hans Crauel. It brought together mathematicians and scientists for whom mathematics, in particular the field of random dynamical systems, is of relevance. The aim of the conference was to present the current state in the theory of random dynamical systems (RDS), its connections to other areas of mathematics, major fields of applications, and related numerical methods in a coherent way. It was, ho~vever, not by accident that the conference was centered around the 60th birthday of Ludwig Arnold. The theory of RDS o~ves much of its current state and status to Ludwig Arnold. Many aspects of the theory, a large number of results, and several substantial contributions were accomplished by Ludwig Arnold. An even larger number of contributions has been initiated by him. The field be- fited much fromhis enthusiasm, his openness for problems not completely aligned with his o~vn research interests, his ability to explain mathematics to researchers from other sciences as well as his ability to get mathema- clans interested in problems from applications not completely aligned with their research interests. In particular, a considerable part of the impact stochastics had on physical chemistry as well as on engineering goes back to Ludwig Arnold. He built up an active research group, kno~vn as "the Bremen group".

Produktdetails

• Verlag: Springer / Springer New York / Springer, Berlin
• Artikelnr. des Verlages: 978-0-387-98512-1
• 1999
• Seitenzahl: 472
• Erscheinungstermin: 26. März 1999
• Englisch
• Abmessung: 241mm x 160mm x 30mm
• Gewicht: 794g
• ISBN-13: 9780387985121
• ISBN-10: 0387985123
• Artikelnr.: 08098528

Autorenporträt

Matthias Gundlach, Ph.D. in Mathematics (University of Warwick, UK), 8 years of research and teaching of mathematics (stochastics, dynamical systems, applied mathematics) at the University of Bremen (Germany), habilitation in mathematics (1999, University of Bremen). Since 2000 expert for credit risk modeling in Aareal Bank AG, Wiesbaden, Germany.

Inhaltsangabe

Stability Along Trajectories at a Stochastic Bifurcation Point.- Bifurcations of One-Dimensional Stochastic Differential Equations.- P-Bifurcations in the Noisy Duffing-van der Pol Equation.- The Stochastic Brusselator: Parametric Noise Destroys Hoft Bifurcation.- Numerical Approximation of Random Attractors.- Random Hyperbolic Systems.- Some Questions in Random Dynamical Systems Involving Real Noise Processes.- Topological, Smooth, and Control Techniques for Perturbed Systems.- Perturbation Methods for Lyapunov Exponents.- The Lyapunov Exponent of the Euler Scheme for Stochastic Differential Equations.- Towards a Theory of Random Numerical Dynamics.- Canonical Stochastic Differential Equations based on Lévy Processes and Their Supports.- On the Link Between Fractional and Stochastic Calculus.- Asymptotic Curvature for Stochastic Dynamical Systems.- Stochastic Analysis on (Infinite-Dimensional) Product Manifolds.- Evolutionary Dynamics in Random Environments.- Microscopic and Mezoscopic Models for Mass Distributions.