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Spectral collocation methods for nonlinear weakly singular Volterra integro‐differential equations
Author(s) -
Shi Xiulian,
Wei Yunxia,
Huang Fenglin
Publication year - 2019
Publication title -
numerical methods for partial differential equations
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.901
H-Index - 61
eISSN - 1098-2426
pISSN - 0749-159X
DOI - 10.1002/num.22314
Subject(s) - mathematics , nonlinear system , orthogonal collocation , collocation method , norm (philosophy) , collocation (remote sensing) , polynomial , spectral method , volterra integral equation , mathematical analysis , differential equation , variable (mathematics) , numerical analysis , integral equation , ordinary differential equation , computer science , physics , quantum mechanics , machine learning , political science , law
In this paper, a spectral collocation approximation is proposed for neutral and nonlinear weakly singular Volterra integro‐differential equations (VIDEs) with non‐smooth solutions. We use some suitable variable transformations to change the original equation into a new equation, so that the solution of the resulting equation possesses better regularity, and the the Jacobi orthogonal polynomial theory can be applied conveniently. Under reasonable assumptions on the nonlinearity, we carry out a rigorous error analysis in L ∞ norm and weighted L 2 norm. To perform the numerical simulations, some test examples (linear and nonlinear) are considered with nonsmooth solutions, and numerical results are presented. Further more, the comparative study of the proposed methods with some existing numerical methods is provided.