Issue |
Math. Model. Nat. Phenom.
Volume 12, Number 6, 2017
Special Issue - Nonlocal and delay equations
|
|
---|---|---|
Page(s) | 23 - 36 | |
DOI | https://doi.org/10.1051/mmnp/2017063 | |
Published online | 30 December 2017 |
Discretization of fractional differential equations by a piecewise constant approximation
1
School of Mathematics and Statistics, UNSW,
Sydney,
NSW
2052, Australia
2
School of Computer Science and Applied Mathematics, University of the Witswatersrand,
Johannesburg,
Private Bag 3,
Wits
2050, South Africa
3
DST-NRF Centre of Excellence in Mathematical and Statistical Sciences (CoE-MaSS), University of the Witwatersrand,
Johannesburg,
Private Bag 3,
Wits
2050, South Africa
Received:
22
October
2017
Accepted:
23
October
2017
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. 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 analysis it does lead to a numerical method for solving the fractional order differential equation. The method is shown to be equivalent to a quadrature based method, despite the fact that it has not been derived from a quadrature. The method can be implemented with non-uniform time steps. An example is provided showing that the difference equation can correctly capture the dynamics of the underlying fractional differential equation.
Mathematics Subject Classification: 26A33 / 65Q10
Key words: Fractional differential equations / Caputo derivatives / integrablization / discretization
© EDP Sciences, 2017
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