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A Gauss-Jacobi Kernel Compression Scheme for Fractional Differential Equations
Project funded by own resources
Project title A Gauss-Jacobi Kernel Compression Scheme for Fractional Differential Equations
Principal Investigator(s) Baffet, Daniel Henri
Organisation / Research unit Departement Mathematik und Informatik / Numerik (Grote)
Project start 01.07.2017
Probable end 04.10.2018
Status Completed
Abstract

A scheme for approximating the kernel $w$ of the fractional $\a$-integral by a linear combination of exponentials is proposed and studied.

The scheme is based on the application of a composite Gauss-Jacobi quadrature rule to an integral representation of $w$.

This results in an approximation of $w$ in an interval $[\del,T]$, with $0<\del$, which converges rapidly in the number $J$ of quadrature nodes associated with each interval of the composite rule.

Using error analysis for Gauss-Jacobi quadratures for analytic functions, an estimate of the relative pointwise error is obtained.

The estimate shows that the number of terms required for the approximation to satisfy a prescribed error tolerance is bounded for all $\a\in(0,1)$, and that $J$ is bounded for $\a\in(0,1)$, $T>0$, and $\del\in(0,T)$.

Keywords Fractional differential equations, Volterra equations, Gaussian quadratures, kernel compression
Financed by University funds

Published results ()

  ID Autor(en) Titel ISSN / ISBN Erschienen in Art der Publikation
4497710  Baffet, Daniel Henri  A Gauss-Jacobi Kernel Compression Scheme for Fractional Differential Equations  0885-7474 ; 1573-7691  Journal of scientific computing  Publication: JournalArticle (Originalarbeit in einer wissenschaftlichen Zeitschrift) 
   

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12/05/2024