Discretization of Fractional Differential Equations by a Piecewise Constant Approximation
Christopher N Angstmann, Bruce I Henry, Anna V McGann

TL;DR
This paper corrects previous errors in discretizing fractional differential equations using a piecewise constant approximation, presenting a convergent numerical method that accurately captures the dynamics and can be implemented with non-uniform time steps.
Contribution
It provides a corrected formulation of the piecewise approximation for fractional differential equations, establishing convergence and a practical numerical method.
Findings
The method converges to the original fractional differential equation as the parameter tends to zero.
The derived difference equations can accurately capture the dynamics of the fractional equations.
The numerical method is equivalent to a quadrature-based approach and supports non-uniform time steps.
Abstract
There has recently been considerable interest in using a nonstandard piecewise approximation to formulate fractional order differential equations as difference equations that describe the same dynamical behaviour and are more amenable to a dynamical systems analysis. Unfortunately, due to mistakes in the fundamental papers, the difference equations formulated through this process do not capture the dynamics of the fractional order equations. We show that the correct application of this nonstandard piecewise approximation leads to a one parameter family of fractional order differential equations that converges to the original equation as the parameter tends to zero. A closed formed solution exists for each member of this family and leads to the formulation of a difference equation that is of increasing order as time steps are taken. Whilst this does not lead to a simplified dynamical…
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.
