Global Lipschitz stability in an inverse hyperbolic problem by interior observations
By Oleg Yu. Imanuvilov, Masahiro Yamamoto. 2001
216 citations recorded by the source corpus.
Subfields: Computational Theory and Mathematics, Control and Systems Engineering, Mathematical Physics
View Paper: https://www.semanticscholar.org/paper/c77e43ed7fabab6e19cb2e8b1579d9d0e3e8bdcb
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Computational Theory and Mathematics
- Masahiro Yamamoto
- Michael V. Klibanov
- Ganghua Yuan
- Oleg Yu. Imanuvilov
- Victor Isakov
- Bastian von Harrach
- Patricia Gaitan
- Michel Cristofol
In Control and Systems Engineering
- Masahiro Yamamoto
- Ganghua Yuan
- Michael V. Klibanov
- Victor Isakov
- Oleg Yu. Imanuvilov
- Patricia Gaitan
- Michel Cristofol
- Assia Benabdallah
In Mathematical Physics
- Masahiro Yamamoto
- Michael V. Klibanov
- Ganghua Yuan
- Oleg Yu. Imanuvilov
- Victor Isakov
- Bastian von Harrach
- Assia Benabdallah
- Yi-Hsuan Lin
Citations in the corpus
- An inverse problem for the dynamical Lamé system with two sets of boundary data (2003, methodology): “[25] Yamamoto, M. Uniqueness and stability in multidimensional hyperbolic inverse problems.”
- Inverse problem for a parabolic system with two components by measurements of one component (2008, methodology): “23], [24] Klibanov and Timonov [26], Yuan and Yamamoto [32] and the references therein. For hyperbolic problems, among many works, we restrict ourselves to a few works such as Imanuvilov and Yamamoto [16], Isakov [20], [21], Klibanov [23], Klibanov and Timonov [26] and see the references also in Isa”
- Carleman estimates for the non-stationary Lamé system and the application to an inverse problem (2005, methodology): “The Carleman estimate for the non-stationary Lamé equation was obtained for functions with compact supports, by Eller, Isakov, Nakamura and Tataru [13], Ikehata, Nakamura and Yamamoto [16], Imanuvilov, Isakov and Yamamoto [19], Isakov [28], and, by the methodology by [8] or [22], several uniqueness ”
- Carleman estimates for global uniqueness, stability and numerical methods for coefficient inverse problems (2012, methodology): “ndition u1 |ST = u2 |ST = P |ST .It was shown in [131] that if Ω = {|x| <R} and T>2R,then kfkH3(Ω) ≤ C X4 j=0 ∂j t g 2 L2(ST ) 1/2 . Isakov and Yamamoto [64] and Imanuvilov and Yamamoto [60, 61] have obtained various Lipschitz stability estimates for MCIPs for hyperbolic PDEs with the prin”
- Monotonicity-based inversion of the fractional Schr\"odinger equation (2017, background): “Lipschitz stability (that was already utilized in [37, 33, 67]), differs from traditional approaches that are mostly based on quantitative unique continuation or quantitative Runge approximation, cf., [52, 2, 48, 49, 19, 5, 7, 10, 54, 53, 11, 68, 73, 74, 14, 13, 60, 4, 12, 9, 3, 66]. Our new approach”
- Lipschitz stability in the determination of the principal part of a parabolic equation (2009, methodology): “[24] O.Yu. Imanuvilov and M. Yamamoto, Carleman inequalities for parabolic equations in Sobolev spaces of negative order and exact controllability for semilinear parabolic equations.”
- Carleman estimates for parabolic equations and applications (2009, methodology): “Yamamoto and Zou [143] proved the Lipschitz stability in determining c(x), x ∈ and for it, the assumption u(x, t0) > 0 for x ∈ is essential.”
- Inverse source problem for the hyperbolic equation with a time-dependent principal part (2015, unknown): “We refer to Bukhgeim and Klibanov [5] for the uniqueness, and Yamamoto [28,29], Puel and Yamamoto [27], Isakov and Yamamoto [16], Imanuvilov and Yamamoto [13, 14] for the stability.”