Partial differential equations/Theory of signals
Rigidity of optimal bases for signal spaces
[Rigidité des bases optimales pour les espaces de signaux]
Comptes Rendus. Mathématique, Tome 355 (2017) no. 7, pp. 780-785.

On s'intéresse à l'approximation optimale pour la norme L2 de fonctions contrôlées en norme H1. On prouve que la base des fonctions propres du laplacien avec condition de Dirichlet au bord est l'unique base orthonormale (bi) de L2 qui réalise une approximation optimale au sens de

fi=1n(f,bi)biL22fL22λn+1fH01(Ω),n1.
Ceci résout un problème ouvert posé par Y. Aflalo, H. Brezis, A. Bruckstein, R. Kimmel et N. Sochen (Best bases for signal spaces, C. R. Acad. Sci. Paris, Ser. I 354 (12) (2016) 1155–1167).

We discuss optimal L2-approximations of functions controlled in the H1-norm. We prove that the basis of eigenfunctions of the Laplace operator with Dirichlet boundary condition is the only orthonormal basis (bi) of L2 that provides an optimal approximation in the sense of

fi=1n(f,bi)biL22fL22λn+1fH01(Ω),n1.
This solves an open problem raised by Y. Aflalo, H. Brezis, A. Bruckstein, R. Kimmel, and N. Sochen (Best bases for signal spaces, C. R. Acad. Sci. Paris, Ser. I 354 (12) (2016) 1155–1167).

Reçu le :
Accepté le :
Publié le :
DOI : 10.1016/j.crma.2017.06.004
Brezis, Haïm 1, 2, 3 ; Gómez-Castro, David 4, 5

1 Department of Mathematics, Hill Center, Busch Campus, Rutgers University, 110 Frelinghuysen Road, Piscataway, NJ 08854, USA
2 Departments of Mathematics and Computer Science, Technion, Israel Institute of Technology, 32000 Haifa, Israel
3 Laboratoire Jacques-Louis-Lions, Université Pierre-et-Marie-Curie, 4, place Jussieu, 75252 Paris cedex 05, France
4 Dpto. de Matemática Aplicada, Universidad Complutense de Madrid, Spain
5 Instituto de Matemática Interdisciplinar, Universidad Complutense de Madrid, Spain
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     title = {Rigidity of optimal bases for signal spaces},
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Brezis, Haïm; Gómez-Castro, David. Rigidity of optimal bases for signal spaces. Comptes Rendus. Mathématique, Tome 355 (2017) no. 7, pp. 780-785. doi : 10.1016/j.crma.2017.06.004. http://www.numdam.org/articles/10.1016/j.crma.2017.06.004/

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[2] Aflalo, Y.; Brezis, H.; Kimmel, R. On the optimality of shape and data representation in the spectral domain, SIAM J. Imaging Sci., Volume 8 (2015) no. 2, pp. 1141-1160

[3] Courant, R. Über die Eigenwerte bei den Differentialgleichungen der mathematischen Physik, Math. Z., Volume 7 (1920) no. 1–4, pp. 1-57

[4] Lax, P.D. Functional Analysis, John Wiley & Sons, New York, Chichester, 2002

[5] Poincaré, H. Sur les équations aux dérivées partielles de la physique mathématique, Amer. J. Math., Volume 12 (1890) no. 3, pp. 211-294

[6] Weinberger, H.F. Variational Methods for Eigenvalue Approximation, Society for Industrial and Applied Mathematics, Philadelphia, PA, USA, 1974

[7] Weyl, H. Das asymptotische Verteilungsgesetz der Eigenwerte linearer partieller Differentialgleichungen (mit einer Anwendung auf die Theorie der Hohlraumstrahlung), Math. Ann., Volume 71 (1912), pp. 441-479

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