Analysis and Application of Stochastic Collocation Methods for Maxwell’s Equations with Random Inputs
Document Type
Article
Publication Date
9-1-2018
Publication Title
Advances in Applied Mathematics and Mechanics
Volume
10
Issue
6
First page number:
1305
Last page number:
1326
Abstract
In this paper we develop and analyze the stochastic collocation method for solving the time-dependent Maxwell’s equations with random coefficients and subject to random initial conditions. We provide a rigorous regularity analysis of the solution with respect to the random variables. To our best knowledge, this is the first theoretical results derived for the standard Maxwell’s equations with random inputs. The rate of convergence is proved depending on the regularity of the solution. Numerical results are presented to confirm the theoretical analysis.
Keywords
Maxwell's equations; random permittivity and permeability; stochastic collocation methods; uncertainty quantification
Disciplines
Applied Mathematics
Language
English
Repository Citation
Li, J.,
Fang, Z.
(2018).
Analysis and Application of Stochastic Collocation Methods for Maxwell’s Equations with Random Inputs.
Advances in Applied Mathematics and Mechanics, 10(6),
1305-1326.
http://dx.doi.org/10.4208/aamm.OA-2018-0101