A Fully Discrete Mixed Finite Element Method for the Stochastic Cahn–Hilliard Equation with Gradient-Type Multiplicative Noise

This paper develops and analyzes a fully discrete mixed finite element method for the stochastic Cahn–Hilliard equation with gradient-type multiplicative noise that is white in time and correlated in space. The stochastic Cahn–Hilliard equation is formally derived as a phase field formulation of the...

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Veröffentlicht in:	Journal of scientific computing Jg. 83; H. 1; S. 23
Hauptverfasser:	Feng, Xiaobing, Li, Yukun, Zhang, Yi
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New York Springer US 01.04.2020 Springer Nature B.V
Schlagworte:	Algorithms Approximation Computational Mathematics and Numerical Analysis Continuity (mathematics) Error analysis Estimates Finite element analysis Finite element method Mathematical analysis Mathematical and Computational Engineering Mathematical and Computational Physics Mathematics Mathematics and Statistics Noise Numerical analysis Theoretical Stochastic Cahn–Hilliard equation Mixed finite element methods 65N15 Strong convergence Gradient-type multiplicative noise 65N30 Stochastic Hele–Shaw flow Phase transition
ISSN:	0885-7474, 1573-7691
Online-Zugang:	Volltext
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