Noise-Induced Phenomena in Slow-Fast Dynamical Systems Noise-Induced Phenomena in Slow-Fast Dynamical Systems
Probability and Its Applications

Noise-Induced Phenomena in Slow-Fast Dynamical Systems

A Sample-Paths Approach

    • ‏89٫99 US$
    • ‏89٫99 US$

وصف الناشر

Stochastic differential equations play an increasingly important role in modeling the dynamics of a large variety of systems in the natural sciences, and in technological applications. This book is aimed at advanced undergraduate and graduate students, and researchers in mathematics, physics, the natural sciences, and engineering. It presents a new constructive approach to the quantitative description of solutions to systems of stochastic differential equations evolving on well-separated timescales. The method, which combines techniques from stochastic analysis and singular perturbation theory, allows the domains of concentration for typical sample paths to be determined, and provides precise estimates on the transition probabilities between these domains.


In addition to the detailed presentation of the set-up and mathematical results, applications to problems in physics, biology, and climatology are discussed. The emphasis lies on noise-induced phenomena such as stochastic resonance, hysteresis, excitability, and the reduction of bifurcation delay.

Nils Berglund joined the research group "Classical and Quantum Dynamics" at the Centre de Physique Théorique (CNRS) in Marseille-Luminy in 2001. He teaches in the Mathematics Department of the Université du Sud Toulon-Var.

Barbara Gentz joined the research group "Interacting Random Systems" at the Weierstrass Institute for Applied Analysis and Stochastics (WIAS) in Berlin in 1998. She teaches in the Institute of Mathematics at the Technical University in Berlin.

النوع
علم وطبيعة
تاريخ النشر
٢٠٠٦
٧ فبراير
اللغة
EN
الإنجليزية
عدد الصفحات
٢٨٩
الناشر
Springer London
البائع
Springer Nature B.V.
الحجم
٥٫٨
‫م.ب.‬
Probability and Partial Differential Equations in Modern Applied Mathematics Probability and Partial Differential Equations in Modern Applied Mathematics
٢٠١٠
Stochastic PDEs and Modelling of Multiscale Complex System Stochastic PDEs and Modelling of Multiscale Complex System
٢٠١٩
Local Lyapunov Exponents Local Lyapunov Exponents
٢٠٠٨
An Introduction to Fronts in Random Media An Introduction to Fronts in Random Media
٢٠٠٩
Interacting Stochastic Systems Interacting Stochastic Systems
٢٠٠٥
Methods of Contemporary Mathematical Statistical Physics Methods of Contemporary Mathematical Statistical Physics
٢٠٠٩
The Doctrine of Chances The Doctrine of Chances
٢٠١٠
Stochastic Calculus and Applications Stochastic Calculus and Applications
٢٠١٥
Theory of Random Sets Theory of Random Sets
٢٠٠٦
Point Process Theory and Applications Point Process Theory and Applications
٢٠٠٦
Probability Models for DNA Sequence Evolution Probability Models for DNA Sequence Evolution
٢٠٠٨
Stochastic Neutron Transport Stochastic Neutron Transport
٢٠٢٣