Nonlinear Volterra Integral Equation with Solution-Dependent Singular Kernels: Well-Posedness, Regularity, and Numerical Approximation

In this paper, we consider a collocation method for solving a nonlinear Volterra integral equation involving the solution-dependent singular kernel (t−s)−α(u(s))F(s,u(s)), where F(s,u(s))=sσϕ(s,u(s)), 0<σ<1, and ϕ is a suitably defined nonlinear function. We first establish the existence and uniqueness of a continuous solution to the equation using Schaefer’s fixed-point theorem. We then develop a collocation method on a graded mesh for its numerical approximation and derive corresponding error estimates. Finally, numerical experiments are presented to verify the theoretical convergence rates.

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Publication Details

Journal
Mathematics
Published
2026-09-22
DOI
https://doi.org/10.3390/math14193434
Primary Topic
Fractional Differential Equations Solutions
Type
article
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Nonlinear Volterra Integral Equation with Solution-Dependent Singular Kernels: Well-Posedness, Regularity, and Numerical Approximation

Yubin Yan, Yanzhi Liu
Mathematics
Fractional Differential Equations Solutions
article

Nonlinear Volterra Integral Equation with Solution-Dependent Singular Kernels: Well-Posedness, Regularity, and Numerical Approximation

Yubin Yan, Yanzhi Liu
article en

Abstract

In this paper, we consider a collocation method for solving a nonlinear Volterra integral equation involving the solution-dependent singular kernel (t−s)−α(u(s))F(s,u(s)), where F(s,u(s))=sσϕ(s,u(s)), 0<σ<1, and ϕ is a suitably defined nonlinear function. We first establish the existence and uniqueness of a continuous solution to the equation using Schaefer’s fixed-point theorem. We then develop a collocation method on a graded mesh for its numerical approximation and derive corresponding error estimates. Finally, numerical experiments are presented to verify the theoretical convergence rates.

MathematicsVol. 14(19)
University of Chester (GB)
Reduced inequalities
Openalex Percentile: Top 12%
Fractional Differential Equations Solutions
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