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Numerical Approximations of Stochastic Maxwell Equations

via Structure-Preserving Algorithms

Jialin Hong author Chuchu Chen author Lihai Ji author

Format:Paperback

Publisher:Springer Verlag, Singapore

Published:5th Jan '24

Should be back in stock very soon

Numerical Approximations of Stochastic Maxwell Equations cover

The stochastic Maxwell equations play an essential role in many fields, including fluctuational electrodynamics, statistical radiophysics, integrated circuits, and stochastic inverse problems.

This book provides some recent advances in the investigation of numerical approximations of the stochastic Maxwell equations via structure-preserving algorithms. It presents an accessible overview of the construction and analysis of structure-preserving algorithms with an emphasis on the preservation of geometric structures, physical properties, and asymptotic behaviors of the stochastic Maxwell equations. A friendly introduction to the simulation of the stochastic Maxwell equations with some structure-preserving algorithms is provided using MATLAB for the reader’s convenience.

The objects considered in this book are related to several fascinating mathematical fields: numerical analysis, stochastic analysis, (multi-)symplectic geometry, large deviations principle, ergodic theory, partial differential equation, probability theory, etc. This book will appeal to researchers who are interested in these topics.


“This interesting monograph brings a self-contained account of the numerical analysis of the stochastic Maxwell equations. More precisely, it includes the construction and analysis of structure-preserving algorithms with an emphasis on the preservation of geometric structures, physical properties, and asymptotic behavior of the original equations.” (Jaromír Antoch, zbMATH 1542.65001, 2024)

ISBN: 9789819966851

Dimensions: unknown

Weight: unknown

284 pages

1st ed. 2023