Two-dimensional probability distribution of the solution to the random Burgers-Riemann problem

被引:1
|
作者
Jornet, Marc [1 ]
机构
[1] Univ Valencia, Dept Matemat, Burjassot 46100, Spain
关键词
Burgers-Riemann problem with uncertainties; Mixed random field; Generalized probability density function; Dirac delta function; Stochastic fluid dynamics; SUPERSENSITIVITY; SUBJECT;
D O I
10.1016/j.physd.2023.133800
中图分类号
O29 [应用数学];
学科分类号
070104 ;
摘要
We investigate Burgers' partial differential equation with random Riemann initial states and random-field solution. Previous works obtained the generalized probability density function in the one-dimensional case, by using different methods. We explore a technique that has not been employed in this context before, which fully develops the potential of the Dirac delta function. We start with the one-dimensional scenario and afterward extend to two dimensions. The generalized probability density function is derived in those cases, both for non-independent and independent initial conditions, and general statistics are obtained as a consequence. & COPY; 2023 The Author(s). Published by Elsevier B.V. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
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页数:8
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