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In
mathematics , the Brown measure of an operator in a finite
factor is a
probability measure on the complex plane which may be viewed as an analog of the
spectral counting measure (based on
algebraic multiplicity ) of matrices.
It is named after
Lawrence G. Brown .
Definition
Let
M
{\displaystyle {\mathcal {M}}}
be a finite factor with the canonical normalized trace
τ
{\displaystyle \tau }
and let
I
{\displaystyle I}
be the identity operator. For every operator
A
∈
M
,
{\displaystyle A\in {\mathcal {M}},}
the function
λ
↦
τ
(
log
|
A
−
λ
I
|
)
,
λ
∈
C
,
{\displaystyle \lambda \mapsto \tau (\log \left|A-\lambda I\right|),\;\lambda \in \mathbb {C} ,}
is a
subharmonic function and its
Laplacian in the
distributional sense is a probability measure on
C
{\displaystyle \mathbb {C} }
μ
A
(
d
(
a
+
b
i
)
)
:=
1
2
π
∇
2
τ
(
log
|
A
−
(
a
+
b
i
)
I
|
)
d
a
d
b
{\displaystyle \mu _{A}(\mathrm {d} (a+b\mathbb {i} )):={\frac {1}{2\pi }}\nabla ^{2}\tau (\log \left|A-(a+b\mathbb {i} )I\right|)\mathrm {d} a\mathrm {d} b}
which is called the Brown measure of
A
.
{\displaystyle A.}
Here the Laplace operator
∇
2
{\displaystyle \nabla ^{2}}
is complex.
The subharmonic function can also be written in terms of the
Fuglede−Kadison determinant
Δ
F
K
{\displaystyle \Delta _{FK}}
as follows
λ
↦
log
Δ
F
K
(
A
−
λ
I
)
,
λ
∈
C
.
{\displaystyle \lambda \mapsto \log \Delta _{FK}(A-\lambda I),\;\lambda \in \mathbb {C} .}
See also
Direct integral – generalization of the concept of direct sumPages displaying wikidata descriptions as a fallback
References
Brown, Lawrence (1986), "Lidskii's theorem in the type
I
I
{\displaystyle II}
case", Pitman Res. Notes Math. Ser. , Longman Sci. Tech., Harlow, 123 : 1–35 . Geometric methods in operator algebras (Kyoto, 1983).
Basic concepts Main results Special Elements/Operators
Spectrum Decomposition Spectral Theorem Special algebras Finite-Dimensional Generalizations Miscellaneous Examples Applications