Regularizing an inverse problem for the nonlinear ultraparabolic equation

We investigate a backward problem for the ultraparabolic equation with nonlinear source function, which aims to determine the initial status of some physical field such as option pricing, multi-parameter Brownian motion, population dynamics, and so forth. This problem is well-known to be ill posed because the solution exhibits unstable dependence on the given data functions. To obtain the approximate solution, we apply the central difference method and establish a convergence rate of H"{o}lder type under some a priori assumptions on the exact solution. Eventually, a numerical example is given to justify the theoretical analysis.

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Publication Details

Journal
Mathematics in Applied Sciences and Engineering
Published
2025-12-30
DOI
https://doi.org/10.5206/mase/22684
Primary Topic
Numerical methods in inverse problems
Type
article
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article

Regularizing an inverse problem for the nonlinear ultraparabolic equation

Triet Le, Phong Hong Luu, Yen Ho, Long Pham
Mathematics in Applied Sciences and Engineering
Numerical methods in inverse problems
article

Regularizing an inverse problem for the nonlinear ultraparabolic equation

Triet Le, Phong Hong Luu, Yen Ho, Long Pham
article en

Abstract

We investigate a backward problem for the ultraparabolic equation with nonlinear source function, which aims to determine the initial status of some physical field such as option pricing, multi-parameter Brownian motion, population dynamics, and so forth. This problem is well-known to be ill posed because the solution exhibits unstable dependence on the given data functions. To obtain the approximate solution, we apply the central difference method and establish a convergence rate of H"{o}lder type under some a priori assumptions on the exact solution. Eventually, a numerical example is given to justify the theoretical analysis.

Mathematics in Applied Sciences and EngineeringVol. 6(4)
Soochow University (CN), Second Affiliated Hospital of Soochow University (CN), Saigon University (VN)
Reduced inequalities
Openalex Percentile: Top 20%
Numerical methods in inverse problems
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