The Source Term Inversion of a Time‐Fractional Black‐Scholes Equation by Fractional Landweber Iterative Regularization Method

ABSTRACT This paper studies the source term inversion of a time‐fractional Black‐Scholes equation, which is an ill‐posed problem. Under certain assumptions, we establish conditional stability results and derive the optimal error bound for the problem. The fractional Landweber iterative regularization method is employed to tackle this problem. Based on the selection rules of a priori and a posteriori regularization parameters, the optimal error estimates of regularization solutions are presented. Numerical examples demonstrate that the proposed regularization method is both effective and stable.

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Publication Details

Journal
Mathematical Methods in the Applied Sciences
Published
2025-12-25
DOI
https://doi.org/10.1002/mma.70441
Primary Topic
Fractional Differential Equations Solutions
Type
article
Field-Weighted Citation Impact
0.00

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article

The Source Term Inversion of a Time‐Fractional Black‐Scholes Equation by Fractional Landweber Iterative Regularization Method

Hongqi Yang
Mathematical Methods in the Applied Sciences
Fractional Differential Equations Solutions
article

The Source Term Inversion of a Time‐Fractional Black‐Scholes Equation by Fractional Landweber Iterative Regularization Method

Hongqi Yang
article en

Abstract

ABSTRACT This paper studies the source term inversion of a time‐fractional Black‐Scholes equation, which is an ill‐posed problem. Under certain assumptions, we establish conditional stability results and derive the optimal error bound for the problem. The fractional Landweber iterative regularization method is employed to tackle this problem. Based on the selection rules of a priori and a posteriori regularization parameters, the optimal error estimates of regularization solutions are presented. Numerical examples demonstrate that the proposed regularization method is both effective and stable.

Mathematical Methods in the Applied Sciences
Sun Yat-sen University (CN)
National Science Foundation, National Natural Science Foundation of China, Sun Yat-sen University, Guangdong Province Key Laboratory of Computational Science
Openalex Percentile: Top 34%
Fractional Differential Equations Solutions
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