550 research outputs found

    The Convergence of Expansion Method of Chebyshev Polynomials

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    In this paper, the weakly singular linear and nonlinear integro-differential equations are solved by using expansion method of Chebyshev polynomials of the first kind .The approximation solution of this equation is calculated in the form of a series which its components are computed easily .The existence and uniqueness of the solution and the convergence of the proposed method are proved. Numerical examples are studied to demonstrate the accuracy of the presented method. Keywords: China insurance industry, Volterra integral equations, Fredholm integral equations, Integro-differential equations, Singular integral equations, Chebyshev polynomials method

    An hp-version discontinuous Galerkin method for integro-differential equations of parabolic type

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    We study the numerical solution of a class of parabolic integro-differential equations with weakly singular kernels. We use an hphp-version discontinuous Galerkin (DG) method for the discretization in time. We derive optimal hphp-version error estimates and show that exponential rates of convergence can be achieved for solutions with singular (temporal) behavior near t=0t=0 caused by the weakly singular kernel. Moreover, we prove that by using nonuniformly refined time steps, optimal algebraic convergence rates can be achieved for the hh-version DG method. We then combine the DG time-stepping method with a standard finite element discretization in space, and present an optimal error analysis of the resulting fully discrete scheme. Our theoretical results are numerically validated in a series of test problems

    Jacobi pseudo-spectral Galerkin method for second kind Volterra integro-differential equations with a weakly singular kernel

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    The Jacobi pseudo-spectral Galerkin method for the Volterra integro-differential equations of the second kind with a weakly singular kernel is proposed in this paper. We provide a rigorous error analysis for the proposed method, which indicates that the numerical errors (in the LĻ‰Ī±,Ī²2-norm and the Lāˆž-norm) will decay exponentially provided that the source function is sufficiently smooth. Numerical examples are given to illustrate the theoretical results

    Spectral collocation method for compact integral operators

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    We propose and analyze a spectral collocation method for integral equations with compact kernels, e.g. piecewise smooth kernels and weakly singular kernels of the form 1āˆ£tāˆ’sāˆ£Ī¼,ā€…ā€Š03Ė˜cĪ¼3Ė˜c1.\frac{1}{|t-s|^\mu}, \; 0\u3c\mu\u3c1. We prove that 1) for integral equations, the convergence rate depends on the smoothness of true solutions y(t)y(t). If y(t)y(t) satisfies condition (R): āˆ„y(k)āˆ„Lāˆž[0,T]ā‰¤ck!Rāˆ’k\|y^{(k)}\|_{L^\infty[0,T]}\leq ck!R^{-k}}, we obtain a geometric rate of convergence; if y(t)y(t) satisfies condition (M): āˆ„y(k)āˆ„Lāˆž[0,T]ā‰¤cMk\|y^{(k)}\|_{L^{\infty}[0,T]}\leq cM^k , we obtain supergeometric rate of convergence for both Volterra equations and Fredholm equations and related integro differential equations; 2) for eigenvalue problems, the convergence rate depends on the smoothness of eigenfunctions. The same convergence rate for the largest modulus eigenvalue approximation can be obtained. Moreover, the convergence rate doubles for positive compact operators. Our numerical experiments confirm our theoretical results
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