1992
DOI: 10.1002/mma.1670150805
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Numerical solution of a time‐like Cauchy problem for the wave equation

Abstract: Let D c R" be a bounded domain with piecewise-smooth boundary, and q ( x , t ) a smooth function on D x [0, T I . Consider the time-like Cauchy problemGiven g , h for which the equation has a solution, we show how to approximate u(x, t ) by solving a well posed fourth-order elliptic partial differential equation (PDE). We use the method of quasi-reversibility to construct the approximating PDE. We derive error estimates and present numerical results.

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Cited by 39 publications
(50 citation statements)
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“…We recall that the Lipschitz stability estimate is the best possible. Observe that a similar high accuracy in the presence of a large amount of noise in the data was also demonstrated in the much earlier work [10], where the 2-D wave equation was solved with the lateral Cauchy data at the boundary of a square. Because this square is a bounded domain, then the Lipschitz stability of the problem of [10] takes place [9,7,5], which is similar with the case of the above Inverse Problem 2.…”
Section: Discussionsupporting
confidence: 71%
See 1 more Smart Citation
“…We recall that the Lipschitz stability estimate is the best possible. Observe that a similar high accuracy in the presence of a large amount of noise in the data was also demonstrated in the much earlier work [10], where the 2-D wave equation was solved with the lateral Cauchy data at the boundary of a square. Because this square is a bounded domain, then the Lipschitz stability of the problem of [10] takes place [9,7,5], which is similar with the case of the above Inverse Problem 2.…”
Section: Discussionsupporting
confidence: 71%
“…The first one is of Klibanov and Rakesh [10], in which the method of quasi-reversibility of Lattes and Lions [11] was adapted for the solution of the Cauchy problem (1.1), (1.4) with L = ∆ = ∂ 2 x + ∂ 2 y in the square with the lateral Cauchy data at the boundary of this square (it was shown in the recent book [9] that the quasi-reversibility is a particular case of the Tikhonov regularization method, and convergence rates were established, also, see [6]). A quite good robustness of this method was demonstrated computationally in [10]. This, observation goes along well with computational results of the current publication and might likely be atributed to the existence of a priori Lipschitz stability estimate, which is the best possible one, also see Section 6.…”
Section: Statement Of the Inverse Problemmentioning
confidence: 99%
“…This version of the QRM is a special case of the Tikhonov regularizing functional [20]. Convergence of this analog of the QRM was proven in [10], [12] and [14] and numerical experiments were conducted in [12]. These experiments have demonstrated a good stability of this method, at least for those examples which were considered in [12].…”
Section: Introductionmentioning
confidence: 92%
“…Convergence of this analog of the QRM was proven in [10], [12] and [14] and numerical experiments were conducted in [12]. These experiments have demonstrated a good stability of this method, at least for those examples which were considered in [12]. It was proposed in [13] and [14] to apply the hyperbolic version of the QRM to the computational time reversal in a bounded domain.…”
Section: Introductionmentioning
confidence: 95%
“…So, since works [12,13], Carleman estimates became one of the important tools in Control Theory, see also [14]. Michael (with co-authors) also published some numerical works, where the theory of [12,13] was applied to numerical studies using the Quasi-Reversibility Method [15][16][17]. It was shown in these publications that the Quasi-Reversibility Method provides a very stable solution for the above-mentioned Cauchy problem.…”
mentioning
confidence: 99%