Sharper bounds for the numerical radius of n × n operator matrices II
Abstract
Let A=[Aij] be an n× n operator matrix where each Aij is a bounded linear operator on a complex Hilbert space H. With other numerical radius bounds via contraction operators, we show that w(A) ≤ w(A), where A=[aij] is an n× n complex matrix with eqnarray* aij=cases w(Aii) if i=j\\ 0≤ t ≤ 1 \| |Aij|2t + |Aji*|2t \|1/2 \| |Aij*|2(1-t)+ |Aji|2(1-t) \|1/2 if i< j 0 if i> j. cases eqnarray* This bound refines the well known bound w(A) ≤ w(A), where A=[aij] is an n× n matrix with aij= w(Aii) if i=j and aij= \|Aij\| if i≠ j [Linear Algebra Appl. 468 (2015), 18--26]. We deduce that if A, B are bounded linear operators on H, then eqnarray* w(bmatrix 0&A\\ B&0 bmatrix) ≤ 12 \| |A|2t + |B*|2t \|1/2 \| |A*|2(1-t)+ |B|2(1-t) \|1/2 for all t∈ [0,1]. eqnarray* Further by applying the numerical radius bounds of operator matrices, we deduce some numerical radius bounds for a single operator, the product of two operators, the commutator of operators. We show that if A is a bounded linear operator on H, then w(A) ≤ 12 \|A\|t \| |A|1-t+|A*|1-t \| for all t∈ [0,1], which refines as well as generalizes the existing ones.
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