Abstract
Abstract
Let
D
(
d
)
denote the convex set of density matrices of size d and let
ρ
,
σ
∈
D
(
d
)
be such that
ρ
̸
≺
σ
. Consider the majorization flows
L
(
σ
)
=
{
μ
∈
D
(
d
)
:
μ
≺
σ
}
and
U
(
ρ
)
=
{
ν
∈
D
(
d
)
:
ρ
≺
ν
}
, where
≺
stands for the majorization pre-order relation. We endow
L
(
σ
)
and
U
(
ρ
)
with the metric induced by the spectral norm. Let
N
(
⋅
)
be a strictly convex unitarily invariant norm and let
μ
0
∈
L
(
σ
)
and
ν
0
∈
U
(
ρ
)
be local minimizers of the distance functions
Φ
N
(
μ
)
=
N
(
ρ
−
μ
)
, for
μ
∈
L
(
σ
)
and
Ψ
N
(
ν
)
=
N
(
σ
−
ν
)
, for
ν
∈
U
(
ρ
)
. In this work we show that, for every unitarily invariant norm
N
˜
(
⋅
)
we have that
N
˜
ρ
−
μ
0
⩽
N
˜
ρ
−
μ
,
μ
∈
L
σ
and
N
˜
σ
−
ν
0
⩽
N
˜
σ
−
ν
,
ν
∈
U
ρ
.
That is,
μ
0 and ν
0 are global minimizers of the distances to the corresponding majorization flows, with respect to every unitarily invariant norm. We describe the (unique) spectral structure (eigenvalues) of
μ
0 and ν
0 in terms of a simple finite step algorithm; we also describe the geometrical structure (eigenvectors) of
μ
0 and ν
0 in terms of the geometrical structure of
σ
and ρ, respectively. We include a discussion of the physical and computational implications of our results. We also compare our results to some recent related results in the context of quantum information theory.
Funder
Consejo Nacional de Investigaciones Científicas y Técnicas
Fondo para la Investigación Científica y Tecnológica
Subject
General Physics and Astronomy,Mathematical Physics,Modeling and Simulation,Statistics and Probability,Statistical and Nonlinear Physics