Numerical Approximation of Space-time Fractional Parabolic Equations
Abstract
In this paper, we develop a numerical scheme for the space-time fractional parabolic equation, i.e., an equation involving a fractional time derivative and a fractional spatial operator. Both the initial value problem and the non-homogeneous forcing problem (with zero initial data) are considered. The solution operator for the initial value problem can be written as a Dunford-Taylor integral involving the Mittag-Leffler function and the resolvent of the underlying (non-fractional) spatial operator over an appropriate integration path in the complex plane. Here denotes the order of the fractional time derivative. The solution for the non-homogeneous problem can be written as a convolution involving an operator and the forcing function . We develop and analyze semi-discrete methods based on finite element approximation to the underlying (non-fractional) spatial operator in terms of analogous Dunford-Taylor integrals applied to the discrete operator. The space error is of optimal order up to a logarithm of . The fully discrete method for the initial value problem is developed from the semi-discrete approximation by applying an exponentially convergent sinc quadrature technique to approximate the Dunford-Taylor integral of the discrete operator and is free of any time stepping. To approximate the convolution appearing in the semi-discrete approximation to the non-homogeneous problem, we apply a pseudo midpoint quadrature. This involves the average of , (the semi-discrete approximation to ) over the quadrature interval. This average can also be written as a Dunford-Taylor integral. We first analyze the error between this quadrature and the semi-discrete approximation. To develop a fully discrete method, we then introduce sinc quadrature approximations to the Dunford-Taylor integrals for computing the averages.
Keywords
Cite
@article{arxiv.1704.04254,
title = {Numerical Approximation of Space-time Fractional Parabolic Equations},
author = {Andrea Bonito and Wenyu Lei and Joseph E. Pasciak},
journal= {arXiv preprint arXiv:1704.04254},
year = {2017}
}
Comments
29 pages, 5 figures