Galerkin spectral and finite difference methods for the solution of fourth-order time fractional partial integro-differential equation with a weakly singular kernel
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引用次数: 0
Abstract
In this paper, we propose an efficient numerical algorithm for the solution of fourth-order time fractional partial integro-differential equation with a weakly singular kernel. In time direction, we use second-order finite difference schemes to discretize the Caputo fractional derivative and also singular integral term. To achieve fully discrete scheme, we apply Galerkin method using generalized Jacobi polynomials as basis, which satisfy essentially all the underlying homogeneous boundary conditions. The proposed method is fast and efficient due to the resulting sparse coefficient matrices. We investigate the error estimate and prove that the method is convergent. Numerical results show the high accuracy and low CPU time of proposed method and confirmed the theoretical ones. Second-order accuracy in time direction and spectral accuracy in space component are also numerically demonstrated by some test problems. Finally we compare the numerical results with the results of other recently methods developed in literature.
期刊介绍:
JAMC is a broad based journal covering all branches of computational or applied mathematics with special encouragement to researchers in theoretical computer science and mathematical computing. Major areas, such as numerical analysis, discrete optimization, linear and nonlinear programming, theory of computation, control theory, theory of algorithms, computational logic, applied combinatorics, coding theory, cryptograhics, fuzzy theory with applications, differential equations with applications are all included. A large variety of scientific problems also necessarily involve Algebra, Analysis, Geometry, Probability and Statistics and so on. The journal welcomes research papers in all branches of mathematics which have some bearing on the application to scientific problems, including papers in the areas of Actuarial Science, Mathematical Biology, Mathematical Economics and Finance.