Scaling Limit of Fluctuations for High Contrast Stochastic Homogenization of the Helmholtz Equation: Second Order Moments

Abstract. This work is concerned with the high contrast stochastic homogenization of the Helmholtz equation. Our goal is to characterize the second order moments of the scaling limit of the fluctuations of the wavefield. We show that these moments are those of a random wavefield solution to a homogenized Helmholtz equation with a white noise source term, and we obtain expressions for its variance. Two factors contribute to the white noise: fluctuations in the inverse permittivity of the high contrast inhomogeneities, and fluctuations in their size. This problem is motivated by wave propagation in sea ice, which is a random compositive of ice and pockets of air and brine. The analysis hinges on three ingredients: a covariance formula due to Chatterjee for functions of independent random variables; small-volume expansions to quantify the fluctuations due to one inclusion; and the standard two-scale expansions for stochastic homogenization.

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Publication Details

Journal
Multiscale Modeling and Simulation
Published
2026-08-20
DOI
https://doi.org/10.1137/24m167007x
Primary Topic
Advanced Mathematical Modeling in Engineering
Type
article
Field-Weighted Citation Impact
0.00

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article

Scaling Limit of Fluctuations for High Contrast Stochastic Homogenization of the Helmholtz Equation: Second Order Moments

Olivier Pinaud
Multiscale Modeling and Simulation
Advanced Mathematical Modeling in Engineering
article

Scaling Limit of Fluctuations for High Contrast Stochastic Homogenization of the Helmholtz Equation: Second Order Moments

Olivier Pinaud
article en

Abstract

Abstract. This work is concerned with the high contrast stochastic homogenization of the Helmholtz equation. Our goal is to characterize the second order moments of the scaling limit of the fluctuations of the wavefield. We show that these moments are those of a random wavefield solution to a homogenized Helmholtz equation with a white noise source term, and we obtain expressions for its variance. Two factors contribute to the white noise: fluctuations in the inverse permittivity of the high contrast inhomogeneities, and fluctuations in their size. This problem is motivated by wave propagation in sea ice, which is a random compositive of ice and pockets of air and brine. The analysis hinges on three ingredients: a covariance formula due to Chatterjee for functions of independent random variables; small-volume expansions to quantify the fluctuations due to one inclusion; and the standard two-scale expansions for stochastic homogenization.

Multiscale Modeling and SimulationVol. 24(3)
Colorado State University (US)
National Science Foundation
Openalex Percentile: Top 99%
Advanced Mathematical Modeling in Engineering
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