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A Müntz-Collocation Spectral Method for Weakly Singular Volterra Integral Equations

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Abstract

In this paper we propose and analyze a fractional Jacobi-collocation spectral method for the second kind Volterra integral equations (VIEs) with weakly singular kernel \((x-s)^{-\mu },0<\mu <1\). First we develop a family of fractional Jacobi polynomials, along with basic approximation results for some weighted projection and interpolation operators defined in suitable weighted Sobolev spaces. Then we construct an efficient fractional Jacobi-collocation spectral method for the VIEs using the zeros of the new developed fractional Jacobi polynomial. A detailed convergence analysis is carried out to derive error estimates of the numerical solution in both \(L^{\infty }\)- and weighted \(L^{2}\)-norms. The main novelty of the paper is that the proposed method is highly efficient for typical solutions that VIEs usually possess. Precisely, it is proved that the exponential convergence rate can be achieved for solutions which are smooth after the variable change \(x\rightarrow x^{1/\lambda }\) for a suitable real number \(\lambda \). Finally a series of numerical examples are presented to demonstrate the efficiency of the method.

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Correspondence to Chuanju Xu.

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This research is partially supported by NSF of China (Grant Nos. 11971408, 51661135011, 11421110001, and 91630204). The third author has received financial support from the French State in the frame of the “Investments for the future” Programme Idex Bordeaux, Reference ANR-10-IDEX-03-02 and NSFC/ANR joint Program 51661135011/ANR-16- CE40-0026-01.

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Hou, D., Lin, Y., Azaiez, M. et al. A Müntz-Collocation Spectral Method for Weakly Singular Volterra Integral Equations. J Sci Comput 81, 2162–2187 (2019). https://doi.org/10.1007/s10915-019-01078-y

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