Abstract:Abstract. Since the solution of a second-kind Volterra integral equation with weakly singular kernel has, in general, unbounded derivatives at the left endpoint of the interval of integration, its numerical solution by polynomial spline collocation on uniform meshes will lead to poor convergence rates. In this paper we investigate the convergence rates with respect to graded meshes, and we discuss the problem of how to select the quadrature formulas to obtain the fully discretized collocation equation.
“…Note in passing that the particular choice: C 0 = 0 and C ν = 1 in (2) implies that the approximate solution will be continuous on the entire interval [0, T] [1,2]. For t ∈ [t i , t i+1 ] and i = 0(1)N − 1, consider the approximation…”
In this paper, a finite Chebyshev expansion is developed to solve Volterra integral equations with logarithmic singularities in their kernels. The error analysis is derived. Numerical results are given showing a marked improvement in comparison with the piecewise polynomial collocation method given in literature.Keywords Volterra integral equations · Integral equations with logarithmic kernels · Chebyshev polynomials · Error analysis and numerical approximation of solutions
“…Note in passing that the particular choice: C 0 = 0 and C ν = 1 in (2) implies that the approximate solution will be continuous on the entire interval [0, T] [1,2]. For t ∈ [t i , t i+1 ] and i = 0(1)N − 1, consider the approximation…”
In this paper, a finite Chebyshev expansion is developed to solve Volterra integral equations with logarithmic singularities in their kernels. The error analysis is derived. Numerical results are given showing a marked improvement in comparison with the piecewise polynomial collocation method given in literature.Keywords Volterra integral equations · Integral equations with logarithmic kernels · Chebyshev polynomials · Error analysis and numerical approximation of solutions
“…For the research for IEs and IDEs we refer to Refs. [2,[6][7][8][15][16][17][18]20,22,23,42,54,58], and for DIDEs, refer to Refs. [3][4][5]9,19,21,22,25,39,44,57,[70][71][72].…”
In this review, we present the recent work of the author in comparison with various related results obtained by other authors in literature. We first recall the stability, contractivity and asymptotic stability results of the true solution to nonlinear stiff Volterra functional differential equations (VFDEs), then a series of stability, contractivity, asymptotic stability and B-convergence results of Runge-Kutta methods for VFDEs is presented in detail. This work provides a unified theoretical foundation for the theoretical and numerical analysis of nonlinear stiff problems in delay differential equations (DDEs), integro-differential equations (IDEs), delayintegro-differential equations (DIDEs) and VFDEs of other type which appear in practice.
“…In contrast, it appears that little literature exists on automatic quadratures for the fractional derivative except for our recent scheme [16] for D q f (s) (0 < q < 1) of a well-behaved function f (s). In practical applications, however, it is required to approximate the fractional derivatives of badly-behaved functions of various types or functions with singularities [1,8] such that f (s) = s α g(s), α > −1, where g(s) is assumed to be a well-behaved function, see [15].…”
Section: Introductionmentioning
confidence: 99%
“…Note that p n (0) = g(0) and p n (1) = g (1). Let h n−1 (t) be a polynomial of degree n − 1 defined by…”
Fractional derivative D^qf(x) (0 < q < 1, 0 <_ _ - x <_ _ - 1) of a function f(x) is defined in
terms of an indefinite integral involving f(x). For functions of algebraic singularity
f(x) = x^αg(x) (α > -1) with g(x) being a well-behaved function, we propose
a quadrature method for uniformly approximating D^q{x^αg(x)g}. Present method
consists of interpolating g(x) at abscissae in [0,1] by a finite sum of Chebyshev
polynomials. It is shown that the use of the lower endpoint x = 0 as an abscissa is
essential for the uniform approximation, namely to bound the approximation errors
independently of x 2 [0,1]. Numerical examples demonstrate the performance of
the present method
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