Parabolic and Gaussian white noise approximation for wave propagation in random media

被引:27
作者
Bailly, F
Clouet, JF
Fouque, JP
机构
[1] Ctr. de Mathematiques Appl.-CNRS, Ecole Polytechnique
关键词
waves in random media; parabolic approximation; diffusion-approximation;
D O I
10.1137/S0036139995280245
中图分类号
O29 [应用数学];
学科分类号
070104 ;
摘要
The parabolic or forward scattering approximation has been used extensively in the study of wave propagation This approximation is combined with a Gaussian white noise approximation for waves propagating in a random medium. The validity of this approximation is proved for stratified weakly fluctuating random media in the high-frequencies regime. The limiting distribution of the wave field is characterized as the unique solution of a random Schrodinger equation studied by Dawson and Papanicolaou [Appl. Math. Optim., 12 (1984), pp. 97-114]. The proofs are based on various generalizations of the perturbed test function method developed by Kushner [Approximation and Weak Convergence Methods for Random Processes, MIT Press, 1984].
引用
收藏
页码:1445 / 1470
页数:26
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