1.

Record Nr.

UNINA9910136471503321

Autore

Barbu Viorel

Titolo

Stochastic Porous Media Equations / / by Viorel Barbu, Giuseppe Da Prato, Michael Röckner

Pubbl/distr/stampa

Cham : , : Springer International Publishing : , : Imprint : Springer, , 2016

ISBN

3-319-41069-5

Edizione

[1st ed. 2016.]

Descrizione fisica

1 online resource (IX, 202 p.)

Collana

Lecture Notes in Mathematics, , 0075-8434 ; ; 2163

Disciplina

519.2

Soggetti

Probabilities

Partial differential equations

Fluids

Probability Theory and Stochastic Processes

Partial Differential Equations

Fluid- and Aerodynamics

Lingua di pubblicazione

Inglese

Formato

Materiale a stampa

Livello bibliografico

Monografia

Nota di bibliografia

Includes bibliographical references and index.

Nota di contenuto

Foreword -- Preface -- Introduction -- Equations with Lipschitz nonlinearities -- Equations with maximal monotone nonlinearities -- Variational approach to stochastic porous media equations -- L1-based approach to existence theory for stochastic porous media equations -- The stochastic porous media equations in Rd -- Transition semigroups and ergodicity of invariant measures -- Kolmogorov equations -- A Two analytical inequalities -- Bibliography -- Glossary -- Translator’s note -- Index.

Sommario/riassunto

Focusing on stochastic porous media equations, this book places an emphasis on existence theorems, asymptotic behavior and ergodic properties of the associated transition semigroup. Stochastic perturbations of the porous media equation have reviously been considered by physicists, but rigorous mathematical existence results have only recently been found. The porous media equation models a number of different physical phenomena, including the flow of an ideal gas and the diffusion of a compressible fluid through porous media, and also thermal propagation in plasma and plasma radiation. Another



important application is to a model of the standard self-organized criticality process, called the "sand-pile model" or the "Bak-Tang-Wiesenfeld model". The book will be of interest to PhD students and researchers in mathematics, physics and biology.