A Lanczos-like method for non-autonomous linear ordinary differential equations

被引:2
作者
Giscard, Pierre-Louis [1 ]
Pozza, Stefano [2 ]
机构
[1] Univ Littoral Cote dOpale, UR 2597, LMPA, Lab Math Pures & Appl Joseph Liouville, F-62100 Calais, France
[2] Charles Univ Prague, Fac Math & Phys, Prague 8, Czech Republic
来源
BOLLETTINO DELLA UNIONE MATEMATICA ITALIANA | 2023年 / 16卷 / 01期
关键词
Lanczos algorithm; Matrix differential equations; Time-ordered exponential; Matching moments; Tridiagonal matrices; Ordinary differential equations; MAGNUS EXPANSION; COMPLETED THEORY; CONVERGENCE; MATRIX; ALGORITHM; SYSTEMS; COMPUTE; SERIES;
D O I
10.1007/s40574-022-00328-6
中图分类号
O1 [数学];
学科分类号
0701 ; 070101 ;
摘要
The time-ordered exponential is defined as the function that solves a system of coupled first-order linear differential equations with generally non-constant coefficients. In spite of being at the heart of much system dynamics, control theory, and model reduction problems, the time-ordered exponential function remains elusively difficult to evaluate. The *-Lanczos algorithm is a (symbolic) algorithm capable of evaluating it by producing a tridiagonalization of the original differential system. In this paper, we explain how the *-Lanczos algorithm is built from a generalization of Krylov subspaces, and we prove crucial properties, such as the matching moment property. A strategy for its numerical implementation is also outlined and will be subject of future investigation.
引用
收藏
页码:81 / 102
页数:22
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