Amb motiu del tancament d'estiu, la validació de documents es reprendrà a partir del 28 d'agost de 2026. Disculpeu les molèsties.
Con motivo del cierre de verano, la validación de documentos se reanudará a partir del 28 de agosto de 2026. Disculpad las molestias
Due to the summer closure, document validation will resume starting August 28, 2026. We apologize for any inconvenience.

Embargo

Item embargoed until 2027-02-12

Document type

Article

Version

Accepted version

Publication date

Publication license

cc-by-nc-nd (c) Elsevier B.V., 2025
Please use this identifier to cite or link to this item: https://hdl.handle.net/2445/218951

A note on the local behavior of the Taylor method for stiff ODEs

Journal Title

Director/Tutor

Journal ISSN

Volume Title

Abstract

In this note we study the behavior of the coefficients of the Taylor method when computing the numerical solution of stiff Ordinary Differential Equations. First, we derive an asymptotic formula for the growth of the stability region w.r.t. the order of the Taylor method. Then, we analyze the behavior of the Taylor coefficients of the solution when the equation is stiff. Using jet transport, we show that the coefficients computed with a floating point arithmetic of arbitrary precision have an absolute error that depends on the variational equations of the solution, which can have a dominant exponential growth in stiff problems. This is naturally related to the characterization of stiffness presented by Söderlind et al. [32], and allows to discuss why explicit solvers need a stepsize reduction when dealing with stiff systems. We explore how high-order methods can alleviate this restriction when high precision computations are required. We provide numerical experiments with classical stiff problems and perform extended precision computations to demonstrate this behavior.

Citation

Citation

PITA FORRIER, Philip, GIMENO ALQUEZAR, Joan and JORBA I MONTE, Àngel. A note on the local behavior of the Taylor method for stiff ODEs. Applied Mathematics and Computation. 2025. Vol. 496. ISSN 0096-3003. [consulted: 9 of August of 2026]. Available at: https://hdl.handle.net/2445/218951

Export metadata

JSON - METS

Share record