Exponential quadrature rules for problems with time-dependent fractional source
Marco Caliari, Fabio Cassini

TL;DR
This paper introduces new exponential quadrature rules tailored for stiff linear differential equations with time-dependent fractional sources, achieving higher order accuracy and demonstrating effectiveness through numerical experiments.
Contribution
The paper develops a novel class of exponential quadrature rules for fractional sources, improving convergence order and expressing solutions via fractional Mittag-Leffler functions.
Findings
New quadrature rules can reach order 1 + νr with proper collocation points.
Methods are expressed using fractional Mittag-Leffler functions.
Numerical experiments confirm theoretical convergence and effectiveness.
Abstract
In this manuscript, we propose newly-derived exponential quadrature rules for stiff linear differential equations with time-dependent fractional sources in the form , with and a sufficiently smooth function. To construct the methods, the source term is interpolated at collocation points by a suitable non-polynomial function, yielding to time marching schemes that we call Exponential Quadrature Rules for Fractional sources (EQRF). The error analysis is done in the framework of strongly continuous semigroups. Compared to classical exponential quadrature rules, which in our case of interest converge with order at most, we prove that the new methods may reach order for proper choices of the collocation points. We also show that the proposed integrators can be written in terms of special instances of the Mittag--Leffler functions that we call…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsDifferential Equations and Boundary Problems · Differential Equations and Numerical Methods · Fractional Differential Equations Solutions
