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Solving Operator Equation Based on Expansion Approach
Author(s) -
A. Aminataei,
Salman AhmadiAsl,
M Taher Pakbaz
Publication year - 2014
Publication title -
international journal of computational mathematics
Language(s) - English
Resource type - Journals
eISSN - 2356-797X
pISSN - 2314-856X
DOI - 10.1155/2014/671965
Subject(s) - algorithm , computer science , artificial intelligence
To date, researchers usually use spectral and pseudospectral methods for only numerical approximation of ordinary and partial differential equations and also based on polynomial basis. But the principal importance of this paper is to develop the expansion approach based on general basis functions (in particular case polynomial basis) for solving general operator equations, wherein the particular cases of our development are integral equations, ordinary differential equations, difference equations, partial differential equations, and fractional differential equations. In other words, this paper presents the expansion approach for solving general operator equations in the form Lu+Nu=g(x),x∈Γ, with respect to boundary condition Bu=λ, where L, N and B are linear, nonlinear, and boundary operators, respectively, related to a suitable Hilbert space, Γ is the domain of approximation, λ is an arbitrary constant, and g(x)∈L2(Γ) is an arbitrary function. Also the other importance of this paper is to introduce the general version of pseudospectral method based on general interpolation problem. Finally some experiments show the accuracy of our development and the error analysis is presented in L2(Γ) norm

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