Sparse Representations of Solutions to a class of Random Boundary Value Problems
Numerical Analysis
2022-01-19 v2 Numerical Analysis
Abstract
We introduce certain sparse representation methods, named as stochastic pre-orthogonal adaptive Fourier decomposition 1 and 2 (SPOAFD1 and SPOAFD2) to solve the Dirichlet boundary value problem and the Cauchy initial value problem of random data. To solve the stochastic boundary value problems the sparse representation is, as the initial step, applied to the random boundary data. Due to the semigroup property of the Poisson and the heat kernel, each entry of the expanding series can be lifted up to compose a solution of the Dirichlet and the Cauchy initial value problem, respectively. The sparse representation gives rise to analytic as well as numerical solutions to the problems with high efficiency.
Cite
@article{arxiv.2112.04132,
title = {Sparse Representations of Solutions to a class of Random Boundary Value Problems},
author = {Fang Yang and Min Chen and Jiecheng Chen and Ying Zhang and Tao Qian},
journal= {arXiv preprint arXiv:2112.04132},
year = {2022}
}