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dc.contributor.authorBamberger, A.
dc.contributor.authorChavent, Guy
dc.contributor.authorLailly, P.
dc.date.accessioned2014-03-27T12:54:06Z
dc.date.available2014-03-27T12:54:06Z
dc.date.issued1979
dc.identifier.urihttps://basepub.dauphine.fr/handle/123456789/12974
dc.language.isoenen
dc.subjectoptimizationen
dc.subjectinverse problemen
dc.subject.ddc519en
dc.titleAbout the stability of the inverse problem in 1-D wave equations—application to the interpretation of seismic profilesen
dc.typeArticle accepté pour publication ou publié
dc.description.abstractenThis paper is devoted to the study of the following inverse problem: Given the 1-D wave equation: (1) ρ(z)∂2y∂t2−∂∂z(μ(z)∂y∂z)=0z>0,t>0+boundaryexcitationatz=0+zeroinitialconditons how to determine the parameter functions (ρ(z),μ(z)) from the only boundary measurementY(t) ofy(z, t)/z=0. This inverse problem is motivated by the reflection seismic exploration techniques, and is known to be very unstable. We first recall in §1 how to construct equivalence classes σ(x) of couples (ρ(z),ρ(z)) that are undistinguishable from the given boundary measurements Y(t). Then we give in §2 existence theorems of the solutiony of the state equations (1), and study the mappingσ→Y: We define on the set of equivalence classes Σ={σ(x)|σ min ⩽σ(x) ⩽ σ max for a.e.x} (σ min andσ max a priori given) a distanced which is weak enough to make Σ compact, but strong enough to ensure the (lipschitz) continuity of the mappingσ→Y. This ensures the existence of a solution to the inverse problem set as an optimization problem on Σ. The fact that this distanced is much weaker than the usualL 2 norm explains the tendency to unstability reported by many authors. In §3, the case of piecewise constant parameter is carefully studied in view of the numerical applications, and a theorem of stability of the inverse problem is given. In §4, numerical results on simulated but realistic datas (300 unknown values forσ) are given for the interpretation of seismic profiles with the above method.en
dc.relation.isversionofjnlnameApplied Mathematics and Optimization
dc.relation.isversionofjnlvol5en
dc.relation.isversionofjnlissue1en
dc.relation.isversionofjnldate1979
dc.relation.isversionofjnlpages1-47en
dc.relation.isversionofdoihttp://dx.doi.org/10.1007/BF01442542en
dc.relation.isversionofjnlpublisherSpringeren
dc.subject.ddclabelProbabilités et mathématiques appliquéesen
dc.relation.forthcomingnonen
dc.relation.forthcomingprintnonen


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