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On the Analysis of Mixed-Index Time Fractional Differential Equation Systems

On the analysis of mixed-index time fractional differential equation systems
Authors: Kevin Burrage; Pamela M. Burrage; Ian W. Turner; Fanhai Zeng;

On the Analysis of Mixed-Index Time Fractional Differential Equation Systems

Abstract

In this paper, we study the class of mixed-index time fractional differential equations in which different components of the problem have different time fractional derivatives on the left-hand side. We prove a theorem on the solution of the linear system of equations, which collapses to the well-known Mittag–Leffler solution in the case that the indices are the same and also generalises the solution of the so-called linear sequential class of time fractional problems. We also investigate the asymptotic stability properties of this class of problems using Laplace transforms and show how Laplace transforms can be used to write solutions as linear combinations of generalised Mittag–Leffler functions in some cases. Finally, we illustrate our results with some numerical simulations.

Country
Australia
Keywords

34A08 (Primary) 65L05 (Secondary), asymptotic stability, Fractional ordinary differential equations, Numerical Analysis (math.NA), analytical solution, Computational Mathematics, Green's functions for ordinary differential equations, time fractional differential equations, QA1-939, FOS: Mathematics, Computer Science and Mathematics, Mathematics - Numerical Analysis, Mathematics, mixed-index problems

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
3
Average
Average
Average
Green
gold