full
search.png

Search

close.png

Cancel

arrow
Volume 10, Issue 6
Analysis and Application of Stochastic Collocation Methods for Maxwell's Equations with Random Inputs

Jichun Li & Zhiwei Fang

DOI: 10.4208/aamm.OA-2018-0101

Adv. Appl. Math. Mech., 10 (2018), pp. 1305-1326.

Published online: 2018-09

Preview Full PDF 2378 33070

Cited by

google scholar semantic scholar
Export citation
  • 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.

  • AMS Subject Headings

65M10, 78A48

  • Copyright

COPYRIGHT: © Global Science Press

  • Email address
  • BibTex
  • RIS
  • TXT
@Article{AAMM-10-1305, author = {Li , Jichun and Fang , Zhiwei}, title = {Analysis and Application of Stochastic Collocation Methods for Maxwell's Equations with Random Inputs}, journal = {Advances in Applied Mathematics and Mechanics}, year = {2018}, volume = {10}, number = {6}, pages = {1305--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.

}, issn = {2075-1354}, doi = {https://doi.org/10.4208/aamm.OA-2018-0101}, url = {http://global-sci.org/intro/article_detail/aamm/12712.html} }
TY - JOUR T1 - Analysis and Application of Stochastic Collocation Methods for Maxwell's Equations with Random Inputs AU - Li , Jichun AU - Fang , Zhiwei JO - Advances in Applied Mathematics and Mechanics VL - 6 SP - 1305 EP - 1326 PY - 2018 DA - 2018/09 SN - 10 DO - http://doi.org/10.4208/aamm.OA-2018-0101 UR - https://global-sci.org/intro/article_detail/aamm/12712.html KW - Maxwell's equations, random permittivity and permeability, stochastic collocation methods, uncertainty quantification. AB -

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.

Jichun Li & Zhiwei Fang. (2020). Analysis and Application of Stochastic Collocation Methods for Maxwell's Equations with Random Inputs. Advances in Applied Mathematics and Mechanics. 10 (6). 1305-1326. doi:10.4208/aamm.OA-2018-0101
Copy to clipboard
BibteX RIS TXT
The citation has been copied to your clipboard