Abstract :
In this paper, we study the following extremal problem and its relevance to the sum of the so-called
superoptimal singular values of a matrix function: Given an m × n matrix function Φ, when is there a
matrix function Ψ∗ in the set An,m
k such that
T
trace Φ(ζ )Ψ∗(ζ ) dm(ζ ) = sup
Ψ∈An,m
k
T
trace Φ(ζ)Ψ(ζ) dm(ζ )
?
The set An,m
k is defined by
An,m
k
def = Ψ ∈ H1
0 (Mn,m): Ψ L1(Mn,m) 1, rankΨ(ζ) k a.e. ζ ∈ T .
To address this extremal problem, we introduce Hankel-type operators on spaces of matrix functions and
prove that this problem has a solution if and only if the corresponding Hankel-type operator has a maximizing
vector. The main result of this paper is a characterization of the smallest number k for which
T
trace Φ(ζ)Ψ(ζ) dm(ζ )
equals the sum of all the superoptimal singular values of an admissible matrix function Φ (e.g. a continuous
matrix function) for some function Ψ ∈ An,m
k . Moreover, we provide a representation of any such
function Ψ when Φ is an admissible very badly approximable unitary-valued n×n matrix function.
© 2009 Elsevier Inc. All rights reserved
Keywords :
Best and superoptimal approximation , Badly and very badly approximable matrix functions , Hankel and Toeplitz operators