A Legendre–Galerkin Chebyshev collocation method for the Burgers equation with a random perturbation on boundary condition
A Legendre–Galerkin Chebyshev collocation method for the Burgers equation with a random perturbation on boundary condition
复制标题
边界条件随机扰动的Burgers方程的Legendre-Galerkin Chebyshev配置方法
DOI:
10.1002/mma.8620
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发表时间:
2022
影响因子:
2.9
通讯作者:
Hua Wu
中科院分区:
文献类型:
--
作者:
Jiajia Pan;Hua Wu
In the paper, we apply the generalized polynomial chaos expansion and spectral methods to the Burgers equation with a random perturbation on its left boundary condition. Firstly, the stochastic Galerkin method combined with the Legendre–Galerkin Chebyshev collocation scheme is adopted, which means that the original equation is transformed to the deterministic nonlinear equations by the stochastic Galerkin method and the Legendre–Galerkin Chebyshev collocation scheme is used to deal with the resulting nonlinear equations. Secondly, the stochastic Legendre–Galerkin Chebyshev collocation scheme is developed for solving the stochastic Burgers equation; that is, the stochastic Legendre–Galerkin method is used to discrete the random variable meanwhile the nonlinear term is interpolated through the Chebyshev–Gauss points. Then a set of deterministic linear equations can be obtained, which is in contrast to the other existing methods for the stochastic Burgers equation. The mean square convergence of the former method is analyzed. Numerical experiments are performed to show the effectiveness of our two methods. Both methods provide alternative approaches to deal with the stochastic differential equations with nonlinear terms.
DOI:
10.1146/annurev.fl.19.010187.002011
发表时间:
1987
期刊:
--
影响因子:
--
作者:
C. Canuto;M. Hussaini;A. Quarteroni;T. Zang
通讯作者:
C. Canuto;M. Hussaini;A. Quarteroni;T. Zang