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High Order Methods for a Class of Volterra Integral Equations with Weakly Singular Kernels

de Hoog, Frank and Weiss, Richard (1974) High Order Methods for a Class of Volterra Integral Equations with Weakly Singular Kernels. SIAM Journal on Numerical Analysis, 11 (6). pp. 1166-11801. ISSN 0036-1429. doi:10.1137/0711088. https://resolver.caltech.edu/CaltechAUTHORS:HOOsiamjna74

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Abstract

The solution of the Volterra integral equation, \[ ( * )\qquad x(t) = g_1 (t) + \sqrt {t}g_2 (t) + \int _0^t \frac {K(t,s,x(s))} {\sqrt {t - s} } ds, \quad 0 \leqq t \leqq T,\] where $g_1 (t)$, $g_2 (t)$ and $K(t,s,x)$ are smooth functions, can be represented as $x(t) = u(t) + \sqrt {t}v(t) $,$0 \leqq t \leqq T$, where $u(t)$, $v(t)$ are, smooth and satisfy a system of Volterra integral equations. In this paper, numerical schemes for the solution of (*) are suggested which calculate $x(t)$ via $u(t)$, $v(t)$ in a neighborhood of the origin and use (*) on the rest of the interval $0 \leqq t \leqq T$. In this way, methods of arbitrarily high order can be derived. As an example, schemes based on the product integration analogue of Simpson's rule are treated in detail. The schemes are shown to be convergent of order $h^{{7 / 2}} $. Asymptotic error estimates are derived in order to examine the numerical stability of the methods.


Item Type:Article
Related URLs:
URLURL TypeDescription
http://dx.doi.org/10.1137/0711088DOIUNSPECIFIED
Additional Information:© 1974 Society for Industrial and Applied Mathematics. Received by the editors December 4, 1972, and in revised form December 22, 1973. This work was done while the authors were at the Computer Centre, The Australian National University, Canberra.
Issue or Number:6
DOI:10.1137/0711088
Record Number:CaltechAUTHORS:HOOsiamjna74
Persistent URL:https://resolver.caltech.edu/CaltechAUTHORS:HOOsiamjna74
Usage Policy:No commercial reproduction, distribution, display or performance rights in this work are provided.
ID Code:12611
Collection:CaltechAUTHORS
Deposited By: Archive Administrator
Deposited On:15 Dec 2008 19:22
Last Modified:08 Nov 2021 22:31

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