Asymptotic condition numbers for linear ODEs

We are interested in the (relative) conditioning of the linear problem $y_0\mapsto \mathrm{e}^{tA}y_0$, i.e. the conditioning of the action of the matrix exponential $\mathrm{e}^{tA}$ on a vector with respect to perturbations of this vector. The present paper is a qualitative study of the long-time behavior of this conditioning. In other words, we are interested to study the propagation to the solution $y(t)$ of perturbations of the initial value for a linear ODE $y^\prime(t)=Ay(t)$, by measuring these perturbations with relative errors instead of absolute errors. We introduce three condition numbers: the first considers a specific initial value and a specific direction of perturbation; the second considers a specific initial value and the worst case by varying the direction of perturbation; and the third considers the worst case by varying both the initial value and the direction of perturbation. The long-time behaviors of these three condition numbers are studied.

Publication Details

Journal
arXiv (Cornell University)
Published
2025-07-11
Primary Topic
Matrix Theory and Algorithms
Type
article
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article

Asymptotic condition numbers for linear ODEs

arXiv (Cornell University)
Matrix Theory and Algorithms
article

Asymptotic condition numbers for linear ODEs

article en

Abstract

We are interested in the (relative) conditioning of the linear problem $y_0\mapsto \mathrm{e}^{tA}y_0$, i.e. the conditioning of the action of the matrix exponential $\mathrm{e}^{tA}$ on a vector with respect to perturbations of this vector. The present paper is a qualitative study of the long-time behavior of this conditioning. In other words, we are interested to study the propagation to the solution $y(t)$ of perturbations of the initial value for a linear ODE $y^\prime(t)=Ay(t)$, by measuring these perturbations with relative errors instead of absolute errors. We introduce three condition numbers: the first considers a specific initial value and a specific direction of perturbation; the second considers a specific initial value and the worst case by varying the direction of perturbation; and the third considers the worst case by varying both the initial value and the direction of perturbation. The long-time behaviors of these three condition numbers are studied.

arXiv (Cornell University)
Openalex Percentile: Top 48%
Matrix Theory and Algorithms
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