A Fast O(N log N) Finite Difference Method for the One-Dimensional Space-Fractional Diffusion Equation

This paper proposes an approach for the space-fractional diffusion equation in one dimension. Since fractional differential operators are non-local, two main difficulties arise after discretization and solving using Gaussian elimination: how to handle the memory requirement of O(N2) for storing the...

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Main Author: Treena Basu
Format: Article
Language:English
Published: MDPI AG 2015-10-01
Series:Mathematics
Subjects:
Online Access:http://www.mdpi.com/2227-7390/3/4/1032
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author Treena Basu
author_facet Treena Basu
author_sort Treena Basu
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description This paper proposes an approach for the space-fractional diffusion equation in one dimension. Since fractional differential operators are non-local, two main difficulties arise after discretization and solving using Gaussian elimination: how to handle the memory requirement of O(N2) for storing the dense or even full matrices that arise from application of numerical methods and how to manage the significant computational work count of O(N3) per time step, where N is the number of spatial grid points. In this paper, a fast iterative finite difference method is developed, which has a memory requirement of O(N) and a computational cost of O(N logN) per iteration. Finally, some numerical results are shown to verify the accuracy and efficiency of the new method.
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spelling doaj.art-956f6a962a254ef88f67bc83c04256c12022-12-22T01:27:18ZengMDPI AGMathematics2227-73902015-10-01341032104410.3390/math3041032math3041032A Fast O(N log N) Finite Difference Method for the One-Dimensional Space-Fractional Diffusion EquationTreena Basu0Department of Mathematics, Occidental College, Los Angeles, CA 90041, USAThis paper proposes an approach for the space-fractional diffusion equation in one dimension. Since fractional differential operators are non-local, two main difficulties arise after discretization and solving using Gaussian elimination: how to handle the memory requirement of O(N2) for storing the dense or even full matrices that arise from application of numerical methods and how to manage the significant computational work count of O(N3) per time step, where N is the number of spatial grid points. In this paper, a fast iterative finite difference method is developed, which has a memory requirement of O(N) and a computational cost of O(N logN) per iteration. Finally, some numerical results are shown to verify the accuracy and efficiency of the new method.http://www.mdpi.com/2227-7390/3/4/1032circulant and toeplitz matricesfast finite difference methodsfast fourier transformfractional diffusion equations
spellingShingle Treena Basu
A Fast O(N log N) Finite Difference Method for the One-Dimensional Space-Fractional Diffusion Equation
Mathematics
circulant and toeplitz matrices
fast finite difference methods
fast fourier transform
fractional diffusion equations
title A Fast O(N log N) Finite Difference Method for the One-Dimensional Space-Fractional Diffusion Equation
title_full A Fast O(N log N) Finite Difference Method for the One-Dimensional Space-Fractional Diffusion Equation
title_fullStr A Fast O(N log N) Finite Difference Method for the One-Dimensional Space-Fractional Diffusion Equation
title_full_unstemmed A Fast O(N log N) Finite Difference Method for the One-Dimensional Space-Fractional Diffusion Equation
title_short A Fast O(N log N) Finite Difference Method for the One-Dimensional Space-Fractional Diffusion Equation
title_sort fast o n log n finite difference method for the one dimensional space fractional diffusion equation
topic circulant and toeplitz matrices
fast finite difference methods
fast fourier transform
fractional diffusion equations
url http://www.mdpi.com/2227-7390/3/4/1032
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