Academic Journal
The Carleman Contraction Mapping Method for a Coefficient Inverse Problem of the Epidemiology: The Carleman contraction mapping method for a coefficient inverse problem of the epidemiology
| Title: | The Carleman Contraction Mapping Method for a Coefficient Inverse Problem of the Epidemiology: The Carleman contraction mapping method for a coefficient inverse problem of the epidemiology |
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| Authors: | Michael V. Klibanov, Trung Truong |
| Source: | SIAM Journal on Applied Mathematics. 85:848-874 |
| Publication Status: | Preprint |
| Publisher Information: | Society for Industrial & Applied Mathematics (SIAM), 2025. |
| Publication Year: | 2025 |
| Subject Terms: | monitoring epidemics, Inverse problems for PDEs, convexification, 35R30, Reaction-diffusion equations, Epidemiology, numerical studies, FOS: Mathematics, Initial-boundary value problems for second-order parabolic systems, Mathematics - Numerical Analysis, Numerical Analysis (math.NA), coefficient inverse problem, Carleman estimate |
| Description: | It is proposed to monitor spatial and temporal spreads of epidemics via solution of a Coefficient Inverse Problem for a system of three coupled nonlinear parabolic equations. To solve this problem numerically, a version of the so-called Carleman contraction mapping method is developed for this problem. On each iteration, a linear problem with the incomplete lateral Cauchy data is solved by the weighted Quasi-Reversibility Method, where the weight is the Carleman Weight Function. This is the function, which is involved as the weight in the Carleman estimate for the corresponding parabolic operator. Convergence analysis ensures the global convergence of this procedure. Numerical results demonstrate an accurate performance of this technique for noisy data. 26 pages |
| Document Type: | Article |
| File Description: | application/xml |
| Language: | English |
| ISSN: | 1095-712X 0036-1399 |
| DOI: | 10.1137/24m1714356 |
| DOI: | 10.48550/arxiv.2412.00297 |
| Access URL: | http://arxiv.org/abs/2412.00297 |
| Rights: | arXiv Non-Exclusive Distribution |
| Accession Number: | edsair.doi.dedup.....e205ad6d2a0740c943d0da04a0bb0ee7 |
| Database: | OpenAIRE |
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