Averaging Technique for Random Magnetization Dynamics Driven by a Jump Noise Process

Author

Lee, Albert ; Bertotti, Gabriel ; Serpico, Claudio ; Mayergoyz, Isaak D.

Author_Institution

Univ. of Maryland, College Park, MD, USA

Volume

50

Issue

11

fYear

2014

fDate

Nov. 2014

Firstpage

1

Lastpage

4

Abstract

An averaging technique is applied to random magnetization dynamics driven by a jump-noise process. This results in the reduction of this dynamics to stochastic magnetic energy dynamics on graphs. The latter eventually leads to a continuous master equation whose validity is not based on or limited by the Kramers-Brown approximation. An eigenvalue technique for solving this master equation is presented and illustrated by numerical examples.

Keywords

eigenvalues and eigenfunctions; magnetic noise; magnetisation; master equation; stochastic processes; Kramers-Brown approximation; continuous master equation; eigenvalue method; jump noise process; random magnetization dynamics; stochastic magnetic energy dynamics; Eigenvalues and eigenfunctions; Energy barrier; Equations; Magnetization; Mathematical model; Monte Carlo methods; Trajectory; Jump-Noise Process; Jump-noise process; Magnetization Dynamics on graphs; Master equation; magnetization dynamics on graphs; master equation;

fLanguage

English

Journal_Title

Magnetics, IEEE Transactions on

Publisher

ieee

ISSN

0018-9464

Type

jour

DOI

10.1109/TMAG.2014.2332883

Filename

6842665