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The Dynamics of Nonlinear Reaction-Diffusion Equations with Small Lvy Noise [Paperback]

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  • Category: Books (Mathematics)
  • Author:  Debussche, Arnaud, H?gele, Michael, Imkeller, Peter
  • Author:  Debussche, Arnaud, H?gele, Michael, Imkeller, Peter
  • ISBN-10:  3319008277
  • ISBN-10:  3319008277
  • ISBN-13:  9783319008271
  • ISBN-13:  9783319008271
  • Publisher:  Springer
  • Publisher:  Springer
  • Pages:  180
  • Pages:  180
  • Binding:  Paperback
  • Binding:  Paperback
  • Pub Date:  01-Mar-2013
  • Pub Date:  01-Mar-2013
  • SKU:  3319008277-11-SPRI
  • SKU:  3319008277-11-SPRI
  • Item ID: 102261158
  • List Price: $49.99
  • Seller: ShopSpell
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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.

Introduction.- 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.- The source of stochastic models in conceptual climate dynamics.

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.

The comprehensive presentation serves as an excellent basis for a Master's courselóW

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