Operational matrix approach based on linear cardinal B-splines for stochastic It\^{o}‎ - ‎Volterra integral equations

Document Type : Research Articles

Authors

1 Faculty of Mathematical Sciences‎, ‎Malayer University‎, ‎P‎. ‎O‎. ‎Box 16846-13114‎, ‎Malayer‎, ‎Iran

2 Malayer University, Faculty of Mathematical Sciences, Malayer, Iran

10.22080/cjms.2026.31111.1811

Abstract

In many modeling that occurs in various disciplines‎, ‎including physics and biological mathematics‎, ‎the stochastic factor is used to increase the accuracy of the model and make it more consistent with the reality of the phenomena‎. ‎One of the equations in this family is the linear or nonlinear stochastic It\^{o}-Volterra integral equations (SIVIEs)‎. This study investigated a method based on the operational matrix from linear cardinal B-spline functions by means of the Simpson's rule for a family of the linear or nonlinear SIVIEs due to the Brownian motion‎. ‎To this end‎, ‎we have created matrix forms for the Volterra integral as well as the stochastic It\^{o}-integral‎. ‎Then we obtained the operational matrix of product‎, ‎which we found to be not particularly computationally complex‎. ‎By stating several theorems‎, ‎we show that the method is convergent‎, ‎and as a consequence of these theorems‎, ‎we prove that the order of convergence of this method is $\mathbb{O}(\dfrac{1}{2^{2I}})$‎. ‎Finally‎, ‎by presenting several examples and comparing numerical results with other existing methods‎, ‎the efficiency and high accuracy of the method were evaluated‎ ‎and some convergence verification ‎notes‎ for different ‎values‎ of $I$ to confirm the theoretical rates are demonstrated.‎

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