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Tensor ranks for the inversion of tensor-product binomials
Authors:Eugene Tyrtyshnikov
Institution:Institute of Numerical Mathematics, Russian Academy of Sciences, Gubkin Street, 8, Moscow 119333, Russian Federation
Abstract:The main result reads: if a nonsingular matrix A of order n=pq is a tensor-product binomial with two factors then the tensor rank of A−1 is bounded from above by min{p,q}. The estimate is sharp, and in the worst case it amounts to View the MathML source.
Keywords:15A12  65F10  65F15
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