Abstract
We use the spectral representation to describe the random electromagnetic fields, which are coupled by Maxwell’s equations with a random source term. The covariance matrix functions of the random electromagnetic fields are expressed in terms of the spectral matrix function of the random source term and the Green function of Maxwell’s equations. When the random source term is Gaussian, the electromagnetic fields exhibit diffusive scaling limits in the sense of distributions.
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Acknowledgments
The author would like to thank the editor for handling this paper and the anonymous reviewer for valuable comments. The comments have significantly improved the quality of this paper. This work was partially supported by the Taiwan Ministry of Science and Technology under Grant Number NSC 103-2917-I-564-014.
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Appendix: Proof of Proposition 1
Appendix: Proof of Proposition 1
In the following, we use the notations \(\mathbf {X}(\mathbf {k},t):=\int _{\mathbb {R}^{3}} e^{i\mathbf {x}\cdot \mathbf {k}} \mathbf {X}(\mathbf {x},t)d\mathbf {x}\) and \(\mathbf {X}(\mathbf {x},\omega ):=\) \( \int _{\mathbb {R}}e^{it\omega } \mathbf {X}(\mathbf {x},t)dt \), \(\mathbf {X}\in \{\mathbf {E},\mathbf {H},\mathbf {J}^{r},\varepsilon ,\mu ,\sigma \}\), to represent the spatial and temporal Fourier transform, respectively. By taking the temporal Fourier transform on the first equation in (1) and using the convolution theorem,
Because \(\nabla \cdot \mathbf {B}=\nabla \cdot \mathbf {H}=0\), there exists a vector field \(\mathbf {A}(\mathbf {x},t)\) such that
By (52), (50) can be rewritten as
In view of (53), there exists a scalar function \(g(\mathbf {x},\omega ):\mathbb {R}^{3}\times \mathbb {R}\rightarrow \mathbb {R}\) such that
By substituting the representations (52) for \(\mathbf {H}\) and (54) for \(\mathbf {E}\) into (51), (51) can be rewritten as
By using the vector identity \(\nabla \times \nabla \times \mathbf {A}=-\nabla ^{2}\mathbf {A}+\nabla \nabla \cdot \mathbf {A}\), (55) can be rearranged into the following:
By the generalized Lorentz gauge [11]:
(56) can be reduced to
By the convolution theorem, the spatial Fourier transform of (58) is given by
that is,
The representation (6) of \(\mathbf {H}\) follows by taking the inverse Fourier transform on (59) to get \(\mathbf {A}(\mathbf {x},t)\) and then using the relation \(\mathbf {H}(\mathbf {x},t)=\nabla \times \mathbf {A}(\mathbf {x},t)\) in (52).
For the electric field \(\mathbf {E}\), an explicit form for \(\nabla g(\mathbf {x},\omega )\) is needed before using the relation (54) to get \(\mathbf {E}\). By taking the spatial Fourier transform of the generalized Lorentz gauge (57), we have
By substituting (60) into (54),
Finally, the representation (5) of \(\mathbf {E}\) follows by taking the inverse (temporal) Fourier transform of (61).
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Liu, GR. Stochastic Wave Propagation in Maxwell’s Equations. J Stat Phys 158, 1126–1146 (2015). https://doi.org/10.1007/s10955-014-1148-y
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DOI: https://doi.org/10.1007/s10955-014-1148-y