2016
DOI: 10.1515/jiip-2015-0100
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An inverse problem for a nonlinear diffusion equation with time-fractional derivative

Abstract: A nonlinear time-fractional inverse coefficient problem is considered. The unknown coefficient depends on the solution. It is proved that the direct problem has a unique solution. Afterwards the continuous dependence of the solution of the corresponding direct problem on the coefficient is proved. Then the existence of a quasi-solution of the inverse problem is obtained in the appropriate class of admissible coefficients.

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Cited by 17 publications
(24 citation statements)
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“…The difference of the current study from the references [33]- [46] is that the unknown of the inverse problem is non-linear, i.e depends on the solution u. This is a relatively new topic and there are only few works, see [47]- [49]. In [47], the unknown coefficient depends on the gradient of the solution and belongs to a set of admissible coefficients.…”
Section: Introductionmentioning
confidence: 92%
See 1 more Smart Citation
“…The difference of the current study from the references [33]- [46] is that the unknown of the inverse problem is non-linear, i.e depends on the solution u. This is a relatively new topic and there are only few works, see [47]- [49]. In [47], the unknown coefficient depends on the gradient of the solution and belongs to a set of admissible coefficients.…”
Section: Introductionmentioning
confidence: 92%
“…In [48], the authors study the numerical solutions of the direct and the inverse problems in [47] and mention about an application of the governing equation in the materials sciences. An inverse problem for the nonlinear time-fractional diffusion equation (1.12) is studied in [49]. In this paper, the authors prove that the direct problem has a unique solution.…”
Section: Introductionmentioning
confidence: 97%
“…Rundell, Xu and Zuo [48] studied a similar inverse problem of determining a nonlinear term f in the boundary condition −∂ x y(1, t) = f (y(1, t)), 0 < t < T for the one-dimensional fractional diffusion equation. See Tatar and Ulusoy [54] for an optimization method for reconstructing a in ∂ α t y(x, t) = div (a(y(x, t))∇y(x, t)) + F (x, t), x ∈ Ω ⊂ R d , 0 < t < T.…”
Section: Determination Of Nonlinear Termsmentioning
confidence: 99%
“…To solve inverse problems, it is necessary to have additional information about the solution of the equation. Most often, such additional information is information about the solution on a part of the boundary of the domain on which the equation is considered (see, for example, [25][26][27][28][29][30][31][32][33][34][35]). However, recently, the formulation of inverse problems for the equation of this type with additional information on the dynamics of the reaction front has become relevant because the reaction front is an experimentally easily distinguishable contrast structure (see, for example, [36,37]).…”
Section: Introductionmentioning
confidence: 99%