1550075568-C-Algebras_and_Finite-Dimensional_Approximations__Brown_

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314 11. Simple C*-Algebras

To a generalized inductive system, we can associate a limit C* -algebra
just as for usual inductive systems. However, some technicalities can be
bypassed with the help of a corona algebra. That is, if (Am, 'Pn,m) is a
generalized inductive system,


7r: II An --+ finEN An
nEN ffinENAn

is the canonical quotient map and, we define m = ffin>m 'Pn,m: Am --+
IInEN An for each m E N (with zeroes in the first m slots), then we can
consider the adjoint-closed linear spaces


7r o <I>m (A m ) C ffi finENAn A.
WnEN n
Note that the norm closure of the union Um 7r o <I>m(Am) is a C* -algebra
since the definition of a generalized inductive system implies that for each
a, b E Am, the product 7r(<I>m(a))7r(<I>m(b)) belongs to this closure (though
it's not close to 7r(<I>m(ab)), in general).
Definition 11.1.2. If (Am, 'Pn,m) is a generalized inductive system, the
generalized inductive limit, A= g lim(Am, 'Pn m), is the norm closure of
---> '

U (A )


finEN An
7r o <I>m m C ffi A.
mEN WnEN n
Typically we forget about the map 7r and let <I>m: Am --+ A denote the
natural adjoint-preserving linear map.

We will primarily be concerned with the case where each Am is a finite-
dimensional C* -algebra. In this setting there is a related notion which arose
from important work in the context of Voiculescu's free probability theory.
Definition 11.1.3. Let A be a C*-algebra with a finite generating set
{xk}k= 1 C A of self-adjoint elements. We say that A admits norm mi-
crostates if for every finite set ~ of noncommutative polynomials in s vari-
ables and r:; > 0 there exist n E N and self-adjoint matrices Xi, ... , X 8 E
Mn ( C) such that for every P E ~ we have
I llP(x1, · · ·, Xs) II - llP(X1, · · ·, Xs) 11 I < €.
The definition in the nonfinitely generated case is similar, except that one
has to accommodate all noncommutative polynomials in any number of vari-
ables.

The proof of the following proposition is rather technical to write out
precisely, though conceptually it is very easy. We leave the details to the
reader, but the idea is to string together sequences of matrices, whose norms
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