Well‐Posedness and Regularity of Solutions for Stochastic Volterra Integral Equations With General Weakly Singular Kernels

ABSTRACT We explore the well‐posedness and regularity of solutions for stochastic Volterra integral equations with general weakly singular kernels (SVIEGK). The kernels considered satisfy and . By employing a suitably weighted norm and Lebesgue's dominated convergence theorem, we establish the well‐posedness of solutions, including their existence, uniqueness, and continuous dependence on the initial value as well as on the parameters and . Additionally, for kernels with a specific structure, we extend the Hölder regularity results for stochastic Volterra integral equations.

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Publication Details

Journal
Mathematical Methods in the Applied Sciences
Published
2025-10-14
DOI
https://doi.org/10.1002/mma.70214
Citations
1
Primary Topic
Stochastic processes and financial applications
Type
article
Field-Weighted Citation Impact
2.21
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article

Well‐Posedness and Regularity of Solutions for Stochastic Volterra Integral Equations With General Weakly Singular Kernels

Phan Thi Huong, Nguyen Nhu Thang
1 citations
Mathematical Methods in the Applied Sciences
Stochastic processes and financial applications
2.21
article

Well‐Posedness and Regularity of Solutions for Stochastic Volterra Integral Equations With General Weakly Singular Kernels

Phan Thi Huong, Nguyen Nhu Thang
article en
1 citations

Abstract

ABSTRACT We explore the well‐posedness and regularity of solutions for stochastic Volterra integral equations with general weakly singular kernels (SVIEGK). The kernels considered satisfy and . By employing a suitably weighted norm and Lebesgue's dominated convergence theorem, we establish the well‐posedness of solutions, including their existence, uniqueness, and continuous dependence on the initial value as well as on the parameters and . Additionally, for kernels with a specific structure, we extend the Hölder regularity results for stochastic Volterra integral equations.

Mathematical Methods in the Applied SciencesVol. 49(2)
Le Quy Don Technical University (VN), Hanoi National University of Education (VN)
Openalex Percentile: Top 10%
Stochastic processes and financial applications
2.21
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