English

The $2 \times 2$ block matrices associated with an annulus

Functional Analysis 2023-11-14 v1 Complex Variables

Abstract

A bounded Hilbert space operator TT for which the closure of the annulus Ar={z : r<z<1}C,(0<r<1) \mathbb{A}_r=\{z \ : \ r<|z|<1\} \subseteq \mathbb{C}, \qquad (0<r<1) is a spectral set is called an Ar\mathbb A_r-contraction. A celebrated theorem due to Douglas, Muhly and Pearcy gives a necessary and sufficient condition such that a 2×22 \times 2 block matrix of operators [T1X0T2] \begin{bmatrix} T_1 & X 0 & T_2 \end{bmatrix} is a contraction. We seek an answer to the same question in the setting of annulus, i.e., under what conditions T~Y=[T1Y0T2]\widetilde{T}_Y=\begin{bmatrix} T_1 & Y 0 & T_2 \end{bmatrix} becomes an Ar\mathbb A_r-contraction. For a pair of Ar\mathbb A_r-contractions T1,T2T_1,T_2 and an operator XX that commutes with T1,T2T_1,T_2, here we find a necessary and sufficient condition such that each of the block matrices TX=[TX0T],T^X=[T1X(T1T2)0T2] T_X= \begin{bmatrix} T & X 0 & T \end{bmatrix} \,, \quad \widehat{T}_X=\begin{bmatrix} T_1 & X(T_1-T_2) 0 & T_2 \end{bmatrix} becomes an Ar\mathbb A_r-contraction. Thus, the general block matrix T~Y\widetilde{T}_Y is an Ar\mathbb A_r-contraction if T1T2T_1-T_2 (as in T^X\widehat{T}_X) is invertible.

Keywords

Cite

@article{arxiv.2311.06764,
  title  = {The $2 \times 2$ block matrices associated with an annulus},
  author = {Sourav Pal and Nitin Tomar},
  journal= {arXiv preprint arXiv:2311.06764},
  year   = {2023}
}

Comments

This is a short paper, submitted to journal

R2 v1 2026-06-28T13:18:25.387Z