Affiliation:
1. School of Mathematics , Southeast University , Nanjing , 210096 , P. R. China
2. Department of Applied Mathematics , University of Leeds , Leeds , LS2 9JT , United Kingdom
Abstract
Abstract
Identification of physical properties of materials is very important because they are in general unknown.
Furthermore, their direct experimental measurement could be costly and inaccurate. In such a situation, a cheap and efficient alternative is to mathematically formulate an inverse, but difficult, problem that can be solved, in general, numerically; the challenge being that the problem is, in general, nonlinear and ill-posed. In this paper, the reconstruction of a lower-order unknown time-dependent coefficient in a Cahn–Hilliard-type fourth-order equation from an additional integral observation, which has application to characterizing the nonlinear saturation of the collisional trapped-ion mode in a tokamak, is investigated. The local existence and uniqueness of the solution to such inverse problem is established by utilizing the Rothe method. Moreover, the continuous dependence of the unknown coefficient upon the measured data is derived. Next, the Tikhonov regularization method is applied to recover the unknown coefficient from noisy measurements.
The stability estimate of the minimizer is derived by investigating an auxiliary linear fourth-order inverse source problem. Henceforth, the variational source condition can be verified.
Then the convergence rate is obtained under such source condition.
Funder
Natural Science Foundation of Jiangsu Province
National Natural Science Foundation of China
Fundamental Research Funds for the Central Universities
Reference31 articles.
1. S. W. Anzengruber and R. Ramlau,
Morozov’s discrepancy principle for Tikhonov-type functionals with nonlinear operators,
Inverse Problems 26 (2010), no. 2, Article ID 025001.
2. S. W. Anzengruber and R. Ramlau,
Convergence rates for Morozov’s discrepancy principle using variational inequalities,
Inverse Problems 27 (2011), no. 10, Article ID 105007.
3. I. T. Ardekani,
Bayesian damage identification from elastostatic data,
PhD Thesis, Mathematics, University of Auckland, 2020.
4. L. Baudouin, E. Cerpa, E. Crépeau and A. Mercado,
Lipschitz stability in an inverse problem for the Kuramoto–Sivashinsky equation,
Appl. Anal. 92 (2013), no. 10, 2084–2102.
5. A. L. Bukhgeĭm and M. V. Klibanov,
Uniqueness in the large of a class of multidimensional inverse problems,
Dokl. Akad. Nauk SSSR 260 (1981), no. 2, 269–272.
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