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Stochastic Ferromagnetism eBook

Analysis And Numerics

de Zdzislaw Brzezniak, Andreas Prohl, Mikhail Neklyudov e Lubomir Banas
idioma: inglês
Editor: De Gruyter, dezembro de 2013 ‧
142,44€
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Ebook para ADE

This monograph examines magnetization dynamics at elevated temperatures which can be described by the stochastic Landau-Lifshitz-Gilbert equation (SLLG). The first part of the book studies the role of noise in finite ensembles of nanomagnetic particles: we show geometric ergodicity of a unique invariant measure of Gibbs type and study related properties of approximations of the SLLG, including time discretization and Ginzburg-Landau type penalization. In the second part we propose an implementable space-time discretization using random walks to construct a weak martingale solution of the corresponding stochastic partial differential equation which describes the magnetization process of infinite spin ensembles. The last part of the book is concerned with a macroscopic deterministic equation which describes temperature effects on macro-spins, i.e. expectations of the solutions to the SLLG. Furthermore, comparative computational studies with the stochastic model are included.

We use constructive tools such as e.g. finite element methods to derive the theoretical results, which are then used for computational studies. The numerical experiments motivate an interesting interplay between inherent geometric and stochastic effects of the SLLG which still lack a rigorous analytical understanding: the role of space-time white noise, possible finite time blow-up behavior of solutions, long-time asymptotics, and effective dynamics.

Stochastic Ferromagnetism

Analysis And Numerics

de Zdzislaw Brzezniak, Andreas Prohl, Mikhail Neklyudov e Lubomir Banas

Propriedade Descrição
ISBN: 9783110307108
Editor: De Gruyter
Data de Lançamento: dezembro de 2013
Idioma: Inglês
Páginas: 248
Tipo de produto: eBook
Formato e Compatibilidade: PDF para ADE
Coleção: De Gruyter Studies In Mathematics
Classificação Temática: eBooks em Inglês > Ciências Exatas e Naturais > Matemática
EAN: 9783110307108

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