Henrik Eisenmann (MPI MIS, Leipzig)

Maximum distance of a symmetric rank-two tensor to rank-one tensors

Programm / Abstract:
We investigate the maximum distance of a symmetric rank-two tensor to rank-one tensors. An equivalent problem is given by the minimal ratio of spectral and Frobenius norm of a tensor. For matrices the distance of a rank k matrix to a rank r matrices is given by the singular value decomposition, but since there is a lack of a fitting analog of the singular value decomposition for tensors, this question is more difficult in the regime of tensors.

am Montag den 06. Dezember 2021 um 11:45

Virtual event (Videobroadcast) - link for registration
Max-Planck-Institut fuer Mathematik in den Naturwissenschaften
04103 Leipzig

eingetragen von Saskia Gutzschebauch(Saskia.Gutzschebauch@mis.mpg.de, 0341 9959 50)

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