Dynamics of Nonlinear Reaction-Diffusion Equations With Small Levy Noise. Este artículo no está disponible.
Idioma: inglés
Editorial: Springer, 2013
- Tapa blanda
- Nuevo

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Condición: Nuevo
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N° de ref. del artículo 19783539-n
- Título
- Dynamics of Nonlinear Reaction-Diffusion Equations With Small Levy Noise
- Autor
- Debussche, Arnaud; Högele, Michael; Imkeller, Peter
- Editorial
- Springer
- Año de publicación
- 2013
- Estado
- New
- Encuadernación
- Encuadernación de tapa blanda
- Idioma
- inglés
- ISBN 10
- 3319008277
- ISBN 13
- 9783319008271
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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De la contraportada
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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