Simplified reproducing kernel method and convergence order for linear Volterra integral equations with variable coefficients

• Published in: Journal of computational and applied mathematics Vol. 346; pp. 390 - 398
• Main Authors: Mei, Liangcai, Lin, Yingzhen
• Format: Journal Article
• Language: English
• Published: Elsevier B.V 15.01.2019
• Subjects: Convergence order; Numerical algorithm; Reproducing kernel direct space; Stability analysis; Volterra integral equations; Convergence order; Stability analysis; Reproducing kernel direct space; Volterra integral equations; Numerical algorithm
• ISSN: 0377-0427; 1879-1778
• DOI: 10.1016/j.cam.2018.07.027

This paper proposes a simplified reproducing kernel method to solve the linear Volterra integral equations with variable coefficients. The main idea of the method is to establish a reproducing kernel direct space that can be used in Volterra integral equations. And in the first time, this paper analyzes the convergence order and stability of the approximate solution. Then the uniform convergence of the numerical solution is proved, and the time consuming Schmidt orthogonalization process is avoided. The proposed method is proved to be stable and is not less than the second order convergence. The algorithm is proved to be feasible and stable through some numerical examples.