English

Accretive Partial Transpose Matrices and Their Connections to Matrix Means

Functional Analysis 2025-03-14 v1

Abstract

Accretive partial transpose (APT) matrices have been recently defined, as a natural extension of positive partial transpose (PPT) matrices. In this paper, we discuss further properties of APT matrices in a way that extends some of those properties known for PPT matrices. Among many results, we show that if A,B,XA,B,X are n×nn\times n complex matrices such that A,BA,B are sectorial with sector angle α\alpha for some α[0,π/2)\alpha\in [0,\pi/2), and if f:(0,)(0,)f:(0,\infty)\to(0,\infty) is a certain operator monotone function such that [cos2(α)f(A)XXcos2(α)f(B)]\begin{bmatrix} \cos^2(\alpha) f(A) & X X^* & \cos^2(\alpha) f(B) \end{bmatrix} is APT, Then [f(A)tf(B)XXf(AtB)]\begin{bmatrix} f(A)\nabla_t f(B) & X X^* & f(A \nabla_tB ) \end{bmatrix} is APT for any 0t10\leq t\leq 1, where t\nabla_t is the weighted arithmetic mean.

Keywords

Cite

@article{arxiv.2503.09875,
  title  = {Accretive Partial Transpose Matrices and Their Connections to Matrix Means},
  author = {Eman Aldabbas and Mohammad Sababheh},
  journal= {arXiv preprint arXiv:2503.09875},
  year   = {2025}
}
R2 v1 2026-06-28T22:18:19.394Z