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Lookup NU author(s): Professor Mihai Putinar
This is the authors' accepted manuscript of an article that has been published in its final definitive form by Springer, 2019.
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This paper aims at studying how finitely many generalized polarization tensors of an algebraic domain can be used to determine its shape. Precisely, given a planar set with real algebraic boundary, it is shown that the minimal polynomial with real coefficients vanishing on the boundary can be identified as the generator of a one dimensional kernel of a matrix whose entries are obtained from a finite number of generalized polarization tensors. The size of the matrix depends polynomially on the degree of the boundary of the algebraic domain. The density with respect to Hausdorff distance of algebraic domains among all bounded domains invites to extend via approximation our reconstruction procedure beyond its natural context. Based on this, a new algorithm for shape recognition/classification is proposed with some strong hints about its efficiency.
Author(s): Ammari H, Putinar M, Steenkamp A, Triki F
Publication type: Article
Publication status: Published
Journal: Mathematische Annalen
Year: 2019
Volume: 375
Issue: 3-4
Pages: 1337-1354
Print publication date: 01/12/2019
Online publication date: 16/11/2018
Acceptance date: 08/11/2018
Date deposited: 09/11/2018
ISSN (print): 0025-5831
ISSN (electronic): 1432-1807
Publisher: Springer
URL: https://doi.org/10.1007/s00208-018-1780-y
DOI: 10.1007/s00208-018-1780-y
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