This paper presented a stable numerical method for solving convection dominated singularly perturbed nonlinear Volterra integro-differential equations. The equation involved a small perturbation parameter $ \varepsilon \in (0, 1] $, which leads to a boundary layer in the solution, causing sharp gradients that classical numerical methods struggle to resolve without excessive computational effort. To handle this challenge, an exponentially fitted difference method was proposed for the differential part, which incorporated $ \varepsilon $ into the discrete operator to accurately capture the boundary layer on coarse meshes. The Volterra integral term was approximated using the composite Trapezoidal rule. The stability and convergence analysis confirmed that the proposed method was uniformly convergent with respect to $ \varepsilon $, preserving accuracy even for small values of $ \varepsilon $. Numerical experiments were implemented on four test problems to validate the theoretical results, demonstrating the accuracy, uniform convergence, and the method's ability to handle a boundary layer. We extended the method to handle a nonlinear problem by incorporating Newton's linearization technique. The computed result showed that the proposed method was accurate and stable under strong boundary layer condition.
Citation: Yidnekachew Abebe Wondmu, Muath Awadalla, Meraa Arab, Mesfin Mekuria Woldaregay. A stable numerical method for convection dominated nonlinear Volterra integro-differential equations[J]. AIMS Mathematics, 2026, 11(6): 17062-17092. doi: 10.3934/math.2026699
This paper presented a stable numerical method for solving convection dominated singularly perturbed nonlinear Volterra integro-differential equations. The equation involved a small perturbation parameter $ \varepsilon \in (0, 1] $, which leads to a boundary layer in the solution, causing sharp gradients that classical numerical methods struggle to resolve without excessive computational effort. To handle this challenge, an exponentially fitted difference method was proposed for the differential part, which incorporated $ \varepsilon $ into the discrete operator to accurately capture the boundary layer on coarse meshes. The Volterra integral term was approximated using the composite Trapezoidal rule. The stability and convergence analysis confirmed that the proposed method was uniformly convergent with respect to $ \varepsilon $, preserving accuracy even for small values of $ \varepsilon $. Numerical experiments were implemented on four test problems to validate the theoretical results, demonstrating the accuracy, uniform convergence, and the method's ability to handle a boundary layer. We extended the method to handle a nonlinear problem by incorporating Newton's linearization technique. The computed result showed that the proposed method was accurate and stable under strong boundary layer condition.
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