A low-rank algorithm for solving Lyapunov operator $φ$-functions within the matrix-valued exponential integrators

Fuente: arXiv
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Autori principali: Li, Dongping, Zhang, Xiuying, Tian, Hongjiong
Natura: Preprint
Pubblicazione: 2022
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author Li, Dongping
Zhang, Xiuying
Tian, Hongjiong
author_facet Li, Dongping
Zhang, Xiuying
Tian, Hongjiong
contents In this work we present a low-rank algorithm for computing low-rank approximations of large-scale Lyapunov operator $φ$-functions. These computations play a crucial role in implementing of matrix-valued exponential integrators for large-scale stiff matrix differential equations, where the (approximate) solutions are of low rank.The proposed method employs a scaling and recursive procedure, complemented by a quasi-backward error analysis to determine the optimal parameters. The computational cost is primarily determined by the multiplication of sparse matrices with block vectors. Numerical experiments validate the effectiveness of the proposed method as a foundational tool for matrix-valued exponential integrators in solving differential Lyapunov equations and Riccati equations.
format Preprint
id arxiv_https___arxiv_org_abs_2212_02408
institution arXiv
publishDate 2022
record_format arxiv
spellingShingle A low-rank algorithm for solving Lyapunov operator $φ$-functions within the matrix-valued exponential integrators
Li, Dongping
Zhang, Xiuying
Tian, Hongjiong
Numerical Analysis
65L05, 65F10, 65F30
G.1
In this work we present a low-rank algorithm for computing low-rank approximations of large-scale Lyapunov operator $φ$-functions. These computations play a crucial role in implementing of matrix-valued exponential integrators for large-scale stiff matrix differential equations, where the (approximate) solutions are of low rank.The proposed method employs a scaling and recursive procedure, complemented by a quasi-backward error analysis to determine the optimal parameters. The computational cost is primarily determined by the multiplication of sparse matrices with block vectors. Numerical experiments validate the effectiveness of the proposed method as a foundational tool for matrix-valued exponential integrators in solving differential Lyapunov equations and Riccati equations.
title A low-rank algorithm for solving Lyapunov operator $φ$-functions within the matrix-valued exponential integrators
topic Numerical Analysis
65L05, 65F10, 65F30
G.1
url https://arxiv.org/abs/2212.02408