Numerical radius and p operator norm of Kronecker products and Schur powers: inequalities and equalities

Abstract

Suppose A=[aij]∈ Mn(C) is a complex n × n matrix and B∈ B(H) is a bounded linear operator on a complex Hilbert space H. We show that w(A B)≤ w(C), where w(·) denotes the numerical radius and C=[cij] with cij= w(bmatrix 0& aij\\ aji&0 bmatrix B). This refines Holbrook's classical bound w(A B)≤ w(A) \|B\| [J. Reine Angew. Math. 1969], when all entries of A are non-negative. If moreover aii≠ 0 ∀ i, we prove that w(A B)= w(A) \|B\| if and only if w(B)=\|B\|. We then extend these and other results to the more general setting of semi-Hilbertian spaces induced by a positive operator. In the reverse direction, we also specialize these results to Kronecker products and hence to Schur/entrywise products, of matrices: (1)(a) We first provide an alternate proof (using w(A)) of a result of Goldberg-Zwas [Linear Algebra Appl. 1974] that if the spectral norm of A equals its spectral radius, then each Jordan block for each maximum-modulus eigenvalue must be 1 × 1 ("partial diagonalizability"). (b) Using our approach, we further show given m ≥ 1 that w(A m)≤ wm(A) - we also characterize when equality holds here. (2) We provide upper and lower bounds for the p operator norm and the numerical radius of A B for all A ∈ Mn(C), which become equal when restricted to doubly stochastic matrices A. Finally, using these bounds we obtain an improved estimation for the roots of an arbitrary complex polynomial.

0

Turn this paper into a full lesson

ArcXiv compiles a staged curriculum from this paper: 8-12 lessons across beginner → advanced, synthesised section guides, visuals, flashcards, a quiz, exercises, and on-demand deep dives per section. Grounded in the abstract, never invented.

Discussion (0)

Sign in to join the discussion.

Loading comments…