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This article is cited in 4 scientific papers (total in 4 papers)
A Functional Central Limit Theorem for Transformed Solutions of the Multidimensional Burgers Equation with Random Initial Data
Yu. Yu. Bakhtin M. V. Lomonosov Moscow State University
Abstract:
This paper states the convergence in distribution in some functional space to the Gaussian field with explicitly calculated parameters for transformed solutions of the multidimensional Burgers equation with initial conditions given by the associated random measure. Auxiliary moment and maximal inequalities obtained in the paper are of interest in themselves.
Keywords:
nonlinear diffusion, associated random variables, moment inequalities, maximal inequalities.
Received: 21.02.2000
Citation:
Yu. Yu. Bakhtin, “A Functional Central Limit Theorem for Transformed Solutions of the Multidimensional Burgers Equation with Random Initial Data”, Teor. Veroyatnost. i Primenen., 46:3 (2001), 427–448; Theory Probab. Appl., 46:3 (2002), 387–405
Linking options:
https://www.mathnet.ru/eng/tvp3894https://doi.org/10.4213/tvp3894 https://www.mathnet.ru/eng/tvp/v46/i3/p427
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