44.2 The Standard Representation
Definition 44.2.1 (Standard Representation).label Let $(M, \tau)$ be a tracial von Neumann algebra, then the GNS representation
is the standard representation of $(M, \tau)$. For each $x \in M$, identify $\wh x = x\xi_{\tau} \in L^{2}(M, \tau)$, so that $M = \wh M \subset L^{2}(M, \tau)$.
Definition 44.2.2 (Canonical Conjugation).label Let $(M, \tau)$ be a tracial von Neumann algebra, then the mapping
is a conjugate linear isometry on $L^{2}(M, \tau)$, known as the canonical conjugation.
Definition 44.2.3 (Left/Right Regular Representations).label Let $(M, \tau)$ be a tracial von Neumann algebra and $x \in M$, then
and
are the left/right multiplication maps by $x$, respectively. The mapping
is the left regular representation of $M$, with $L(M) = \lambda(M)$ being the algebra of left multiplications. Similarly,
is the right regular representation of $M^{op}$, with $R(M) = \rho(M)$ being the algebra of right multiplications.
Proposition 44.2.4.label Let $(M, \tau)$ be a tracial von Neumann algebra, then:
- (1)
For each $x \in M$, $JL_{x}J = R_{x^*}$.
- (2)
$JL(M)J = R(M)$.
Proof. (1): For each $x, y \in M$,
$\square$
Definition 44.2.5 (Multiplication by Vector).label Let $(M, \tau)$ be a tracial von Neumann algebra and $\xi \in L^{2}(M, \tau)$, then
and
are densely defined, closable operators.
Let $L_{\xi}$ and $R_{\xi}$ be their respective closures, then $L_{\xi}$ and $R_{\xi}$ are the left/right multiplication operators by $\xi$.
Proof. Let $\seq{x_n}\subset M$ and $\eta \in L^{2}(M, \tau)$ with $\limv{n}\wh{x_n}= 0$ and $\limv{n}L_{\xi}^{0}(\wh{x_n}) = \eta$, then for each $y \in M$,
$\square$
Definition 44.2.6 (Convolvers).label Let $(M, \tau)$ be a tracial von Neumann algebra and $\xi \in L^{2}(M, \tau)$, then $\xi$ is a left convolver if $L_{\xi}$ is bounded, and $\xi$ is a right convolver if $R_{\xi}$ is bounded. The sets of left and right convolvers are denoted $LC(M)$ and $RC(M)$, respectively.
Lemma 44.2.7.label Let $(M, \tau)$ be a tracial von Neumann algebra, then for each $\xi \in LC(M)$ and $\eta \in RC(M)$, $L_{\xi} R_{\eta} = R_{\eta} L_{\xi}$.
Proof. First suppose that $\xi, \eta \in M$. In which case, for each $x, y \in M$,
Now suppose that $\xi \in M$, then for each $\eta \in RC(M)$, by the Cauchy-Schwarz inequality,
so by density of $\wh M$ in $L^{2}(M, \tau)$, $\dpn{L_\xi R_\eta \wh x, \wh y}{L^2(M, \tau)}= \dpn{R_\eta L_\xi \wh x, \wh y}{L^2(M, \tau)}$ for all $\xi \in M$ and $\eta \in RC(M)$.
Finally, suppose that $\xi \in LC(M)$ and $\eta \in RC(M)$, then for each $z \in M$,
so
By density of $\wh M$ in $L^{2}(M, \tau)$, $\dpn{L_\xi R_\eta \wh x, \wh y}{L^2(M, \tau)}= \dpn{R_\eta L_\xi \wh x, \wh y}{L^2(M, \tau)}$ for all $\xi \in LC(M)$ and $\eta \in RC(M)$.$\square$
Theorem 44.2.8.label Let $(M, \tau)$ be a tracial von Neumann algebra, then:
- (1)
$L(M) = LC(M) = R(M)'$.
- (2)
$JL(M)J = R(M) = RC(M) = L(M)'$.
- (3)
In particular, for each $\xi \in L^{2}(M, \tau)$, $L_{\xi} \in B(L^{2}(M, \tau))$ if and only if $\xi \in \wh M$.
Proof. (1): By definition, $L(M) \subset LC(M)$. By Lemma 44.2.7, $LC(M) \subset RC(M)'$, so
and
Using the Bicommutant Theorem, it remains to show that $R(M)' \subset LC(M)$. To this end, let $T \in R(M)'$ and $\xi = T \wh 1$, then for each $x \in M$,
so $T|_{\wh M}= L_{\xi}^{0}$. By density of $\wh M$ in $L^{2}(M, \tau)$ and continuity of $T$, the closure of $L_{\xi}^{0}$ is $T$, hence $T = L_{\xi}$.$\square$
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