2026-06-06T19:32:11Zhttps://riuma.uma.es/rest/oai/request

oai:riuma.uma.es:10630/192372026-02-03T12:19:44Zcom_10630_2254col_10630_37959

Best rank-k approximations for tensors: generalizing Eckart-Young Tocino-Sánchez, Alicia Matemáticas Tensores (Álgebra) Joint work with Jan Draisma and Giorgio Ottaviani. Given a tensor f in a Euclidean tensor space, we are interested in the critical points of the distance function from f to the set of tensors of rank at most k, which we call the critical rank-at-most-k tensors for f. When f is a matrix, the critical rank-one matrices for f correspond to the singular pairs of f . The critical rank-one tensors for f lie in a linear subspace H_f, the critical space of f. Our main result is that, for any k, the critical rank-at-most-k tensors for a sufficiently general f also lie in the critical space H_f. This is the part of Eckart-Young Theorem that generalizes from matrices to tensors. Moreover, we show that when the tensor format satisfies the triangle inequalities, the critical space H_f is spanned by the complex critical rank-one tensors. Since f itself belongs to H_f, we deduce that also f itself is a linear combination of its critical rank-one tensors. For simplicity, we will focus on binary forms during the talk. 2020-02-03T08:20:42Z 2020-02-03T08:20:42Z 2020-02-03T08:20:42Z 2020-02-03 conference output https://hdl.handle.net/10630/19237 eng V Congreso de Jóvenes Investigadores de la Real Sociedad Matemática Española- Castelló 2020 Castelló, España 01/2020 open access