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Spectral Regularization Methods for an Abstract Ill-Posed Elliptic Problem
Author(s) -
Nadjib Boussetila,
Salim Hamida,
Faouzia Rebbani
Publication year - 2013
Publication title -
abstract and applied analysis
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.228
H-Index - 56
eISSN - 1687-0409
pISSN - 1085-3375
DOI - 10.1155/2013/947379
Subject(s) - regularization (linguistics) , well posed problem , mathematics , a priori and a posteriori , cauchy problem , cauchy distribution , cauchy's convergence test , convergence (economics) , inverse problem , initial value problem , backus–gilbert method , operator (biology) , mathematical analysis , regularization perspectives on support vector machines , tikhonov regularization , computer science , cauchy boundary condition , boundary value problem , gene , free boundary problem , repressor , transcription factor , economic growth , epistemology , chemistry , philosophy , artificial intelligence , economics , biochemistry
We study an abstract elliptic Cauchy problem associated with an unbounded self-adjoint positive operator which has a continuous spectrum. It is well-known that such a problem is severely ill-posed; that is, the solution does not depend continuously on the Cauchy data. We propose two spectral regularization methods to construct an approximate stable solution to our original problem. Finally, some other convergence results including some explicit convergence rates are also established under a priori bound assumptions on the exact solution.

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