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Bernstein series solutions of multidimensional linear and nonlinear Volterra integral equations with fractional order weakly singular kernels
- Source :
- Applied Mathematics and Computation. 347:149-161
- Publication Year :
- 2019
- Publisher :
- Elsevier BV, 2019.
-
Abstract
- This paper proposes a quadrature method based on multi-variate Bernstein polynomials. The method is used to solve multidimensional Volterra integral equations with weakly singular kernels. Firstly, we use multi-variate Bernstein polynomials to approximate the unknown function of an equation, then a discrete function equation can be obtained by substituting the approximate solution into the equation. Secondly, the discrete function system is transformed into an algebra equation system by using some discrete points. We can perform the integral operations without discrete kernel function, and the weakly singular integrals can be calculated directly by using quadrature method, so the method is easy to implement. Thirdly, we prove the existence and uniqueness of the solution of the approximate equation, as well as the error analysis of the proposed method. Six numerical examples are given to illustrate the efficiency of this method.
- Subjects :
- 0209 industrial biotechnology
Series (mathematics)
Applied Mathematics
MathematicsofComputing_NUMERICALANALYSIS
020206 networking & telecommunications
02 engineering and technology
Function (mathematics)
Singular integral
Bernstein polynomial
Volterra integral equation
Computational Mathematics
symbols.namesake
020901 industrial engineering & automation
ComputingMethodologies_SYMBOLICANDALGEBRAICMANIPULATION
0202 electrical engineering, electronic engineering, information engineering
symbols
Nyström method
Applied mathematics
Order (group theory)
Uniqueness
Mathematics
Subjects
Details
- ISSN :
- 00963003
- Volume :
- 347
- Database :
- OpenAIRE
- Journal :
- Applied Mathematics and Computation
- Accession number :
- edsair.doi...........046a7f71a0165cec97a15418df0ce801
- Full Text :
- https://doi.org/10.1016/j.amc.2018.10.022