Stochastic Resonance: A Mathematical Approach in the Small Noise Limit (Mathematical Surveys and Monographs, 194) - Hardcover

Herrmann, Samuel; Imkeller, Peter; Pavlyukevich, Ilya; Peithmann, Dierk

Hardcover

ISBN 10: 1470410494 ISBN 13: 9781470410490

Publisher: Amer Mathematical Society, 2013

Synopsis

Stochastic resonance is a phenomenon arising in a wide spectrum of areas in the sciences ranging from physics through neuroscience to chemistry and biology. This book presents a mathematical approach to stochastic resonance which is based on a large deviations principle (LDP) for randomly perturbed dynamical systems with a weak inhomogeneity given by an exogenous periodicity of small frequency. Resonance, the optimal tuning between period length and noise amplitude, is explained by optimizing the LDP's rate function. The authors show that not all physical measures of tuning quality are robust with respect to dimension reduction. They propose measures of tuning quality based on exponential transition rates explained by large deviations techniques and show that these measures are robust. The book sheds some light on the shortcomings and strengths of different concepts used in the theory and applications of stochastic resonance without attempting to give a comprehensive overview of the many facets of stochastic resonance in the various areas of sciences. It is intended for researchers and graduate students in mathematics and the sciences interested in stochastic dynamics who wish to understand the conceptual background of stochastic resonance.

About this title

About the Author:

Samuel Herrmann, Universite de Bourgogne, Dijon, FrancePeter Imkeller, Humboldt-Universitat zu Berlin, Germany Ilya Pavlyukevich, Friedrich-Schiller-Universitat Jena, GermanyDierk Peithmann, Essen, Germany

About this edition

• Publisher: Amer Mathematical Society
• Publication date: 2013
• ISBN 10: 1470410494
• ISBN 13: 9781470410490
• Binding: Hardcover
• Number of pages: 187