Matrix approach to the fractional calculus
V. N. Kolokoltsov, E. L. Shishkina

TL;DR
This paper introduces a matrix-based method for fractional derivatives and integrals with respect to a function, enabling both analytical and numerical calculations, with proven convergence and explicit formulas for matrix powers.
Contribution
The paper presents a novel matrix approach to fractional calculus that approximates operators and semigroups, providing convergence analysis and explicit formulas for matrix powers.
Findings
Derived convergence rates for operator and matrix fractional powers.
Provided explicit formulas for powers of two-band matrices.
Demonstrated applicability to numerical solutions of fractional equations.
Abstract
In this paper, we introduce the new construction of fractional derivatives and integrals with respect to a function, based on a matrix approach. We believe that this is a powerful tool in both analytical and numerical calculations. We begin with the differential operator with respect to a function that generates a semigroup. By discretizing this operator, we obtain a matrix approximation. Importantly, this discretization provides not only an approximating operator but also an approximating semigroup. This point motivates our approach, as we then apply Balakrishnan's representations of fractional powers of operators, which are based on semigroups. Using estimates of the semigroup norm and the norm of the difference between the operator and its matrix approximation, we derive the convergence rate for the approximation of the fractional power of operators with the fractional power of…
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
TopicsFractional Differential Equations Solutions · Approximation Theory and Sequence Spaces · Nonlinear Differential Equations Analysis
