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Convergence of L p -norms of a matrix

Pavel Stavinoha (1985)

Aplikace matematiky

a recurrence relation for computing the L p -norms of an Hermitian matrix is derived and an expression giving approximately the number of eigenvalues which in absolute value are equal to the spectral radius is determined. Using the L p -norms for the approximation of the spectral radius of an Hermitian matrix an a priori and a posteriori bounds for the error are obtained. Some properties of the a posteriori bound are discussed.

Convex SO ( N ) × SO ( n ) -invariant functions and refinements of von Neumann’s inequality

Bernard Dacorogna, Pierre Maréchal (2007)

Annales de la faculté des sciences de Toulouse Mathématiques

A function  f on M N × n ( ) which is SO ( N ) × SO ( n ) -invariant is convex if and only if its restriction to the subspace of diagonal matrices is convex. This results from Von Neumann type inequalities and appeals, in the case where N = n , to the notion of signed singular value.

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