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The dynamics of nonlinear reaction-diffusion equations with small lévy noise

Autor: Arnaud Debussche; SpringerLink (Online service)
Editorial: Cham, Switzerland : Springer, ©2013.
Serie: Lecture notes in mathematics (Springer-Verlag), 2085.
Edición/Formato:   Libro-e : Documento : Inglés (eng)Ver todas las ediciones y todos los formatos
Base de datos:WorldCat
Resumen:
This work considers a small random perturbation of alpha-stable jump type nonlinear reaction-diffusion equations with Dirichlet boundary conditions over an interval. It has two stable points whose domains of attraction meet in a separating manifold with several saddle points. Extending a method developed by Imkeller and Pavlyukevich it proves that in contrast to a Gaussian perturbation, the expected exit and  Leer más
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Formato físico adicional: Printed edition:
Tipo de material: Documento, Recurso en Internet
Tipo de documento: Recurso en Internet, Archivo de computadora
Todos autores / colaboradores: Arnaud Debussche; SpringerLink (Online service)
ISBN: 9783319008288 3319008285
Número OCLC: 859522804
Descripción: 1 online resource (xiii, 163 p.) : col. ill.
Contenido: The Fine Dynamics of the Chafee-Infante Equation --
The Stochastic Chafee-Infante Equation --
The Small Deviation of the Small Noise Solution --
Asymptotic Exit Times --
Asymptotic Transition Times --
Localization and Metastability.
Título de la serie: Lecture notes in mathematics (Springer-Verlag), 2085.
Responsabilidad: Arnaud Debussche, Michael Högele, Peter Imkeller.
Más información:

Resumen:

This work considers a small random perturbation of alpha-stable jump type nonlinear reaction-diffusion equations with Dirichlet boundary conditions over an interval. It has two stable points whose domains of attraction meet in a separating manifold with several saddle points. Extending a method developed by Imkeller and Pavlyukevich it proves that in contrast to a Gaussian perturbation, the expected exit and transition times between the domains of attraction depend polynomially on the noise intensity in the small intensity limit. Moreover the solution exhibits metastable behavior: there is a polynomial time scale along which the solution dynamics correspond asymptotically to the dynamic behavior of a finite-state Markov chain switching between the stable states.

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