Convergence analysis of an iterative algorithm to solve system of nonlinear stochastic Itô‐Volterra integral equations

2020 ◽  
Vol 43 (8) ◽  
pp. 5212-5233 ◽  
Author(s):  
Masoud Saffarzadeh ◽  
Mohammad Heydari ◽  
Ghasem Barid Loghmani
Author(s):  
Fakhrodin Mohammadi

This paper deals with the approximate solution of nonlinear stochastic Itô–Volterra integral equations (NSIVIE). First, the solution domain of these nonlinear integral equations is divided into a finite number of subintervals. Then, the Chebyshev–Gauss–Radau points along with the Lagrange interpolation method are employed to get approximate solution of NSIVIE in each subinterval. The method enjoys the advantage of providing the approximate solutions in the entire domain accurately. The convergence analysis of the numerical method is also provided. Some illustrative examples are given to elucidate the efficiency and applicability of the proposed method.


Mathematics ◽  
2020 ◽  
Vol 8 (11) ◽  
pp. 2004
Author(s):  
Hao Chen ◽  
Ling Liu ◽  
Junjie Ma

In this work, we introduce a class of generalized multistep collocation methods for solving oscillatory Volterra integral equations, and study two kinds of convergence analysis. The error estimate with respect to the stepsize is given based on the interpolation remainder, and the nonclassical convergence analysis with respect to oscillation is developed by investigating the asymptotic property of highly oscillatory integrals. Besides, the linear stability is analyzed with the help of generalized Schur polynomials. Several numerical tests are given to show that the numerical results coincide with our theoretical estimates.


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