Math 202B: Lecture 10

Let \mathcal{A} be an algebra which admits a scalar product

\langle \cdot,\cdot \rangle \colon \mathcal{A} \times \mathcal{A} \longrightarrow \mathbb{C}

satisfying the left Frobenius identity,

\langle AB,C \rangle = \langle B,A^*C \rangle, \quad A,B,C \in \mathcal{A}.

Equivalently, \mathcal{A} admits a faithful state \tau \colon \mathcal{A} \to \mathbb{C}.

Theorem 10.1. There exists a Hilbert space V such that \mathcal{A} is isomorphic to a subalgebra of \mathrm{End}(V).

Proof: The proof is constructive: we will present an explicit Hilbert space V together with an explicit injective algebra homomorphism

\Phi \colon \mathcal{A} \longrightarrow \mathrm{End}(V).

Pursuing the same strategy as in Cayley’s theorem from group theory, we take our Hilbert space V to be \mathcal{A} itself equipped with a left-Frobenius scalar product, which exists by hypothesis. Define a function

\Phi \colon \mathcal{A} \longrightarrow \mathrm{End}(\mathcal{A})

by

\Phi(A)B = AB, \quad B \in \mathcal{A}.

Thus, \Phi(A) is the function \mathcal{A} \to \mathcal{A} defined to be “left-multiply by A.”

Let us first verify that \Phi really does take values in \mathrm{End}(\mathcal{A}), as claimed. Thus for A \in \mathcal{A} we must show that \Phi(A) is a linear operator. We have \Phi(A)0_\mathcal{A}=A0_\mathcal{A}=0_\mathcal{A}, by a problem from Week 1, and also

\Phi(A)(\beta_1B_1+\beta_2B_2)=A(\beta_1B_1+\beta_2B_2)=\beta_1AB_1+\beta_2AB_2=\beta_1\Phi(A)B_1+\beta_2\Phi(A)B_2,

by bilinearity of multiplication in \mathcal{A}.

Now we check that \Phi itself is a linear transformation from \mathcal{A} to \mathrm{End}(\mathcal{A}). For all B \in \mathcal{A} we have \Phi(0_\mathcal{A})B =0_\mathcal{A} and we also have

\Phi(\alpha_1A_1+\alpha_2A_2)B=\alpha_1\Phi(A_1)B+\alpha_2\Phi(A_2)B,

so indeed \Phi is a linear transformation. Furthermore, if \Phi(A)B=0_\mathcal{A} for all B \in \mathcal{A}, then choosing B=I we have A=0_\mathcal{A} so that

\mathrm{Ker}(\Phi)=\{0_\mathcal{A}).

Thus, \Phi \colon \mathcal{A} \to \mathrm{End}(\mathcal{A}) is an injective linear transformation, hence a vector space isomorphism of \mathcal{A} onto its image in \mathrm{End}(\mathcal{A}).

It remains to show that \Phi is an algebra homoprhism. Since \Phi(I)B=IB=B for all B \in B, we have that \Phi(I) is the identity operator in \mathrm{End}(\mathcal{A}). Next, for any A,B \in \mathcal{A}, we have

\Phi(AB)C=(AB)C=A(BC) = A(\Phi(B)C)=\Phi(A)(\Phi(B)C)

for all C \in \mathcal{A}, so \Phi(AB)=\Phi(A) \circ \Phi(B) and multiplication in \mathrm{End}(\mathcal{A}) is indeed composition of functions. Finally, from the left Frobenius identity, for any A \in \mathcal{A} we have

\langle \Phi(A)B,C\rangle=\langle AB,C\rangle = \langle B,A^*C\rangle = \langle B,\Phi(A^*)C\rangle, \quad B,C \in \mathcal{A},

which shows that \Phi(A)^*=\Phi(A^*). \square

Let us look at a specific case of the above construction.

Take \mathcal{A}=\mathcal{F}(X) to be the algebra of functions on a finite set X. Equip \mathcal{F}(X) with the scalar product

\langle A,B \rangle = \sum\limits_{x \in X} A(x)\overline{B(x)}.

This scalar product is left-Frobenius: we have

\langle AB,C\rangle = \sum\limits_{x\in X} \overline{A(x)B(x)}C(x) = \sum\limits_{x\in X} \overline{B(x)} \overline{A(x)}C(x) = \langle B,A^*C\rangle.

Theorem 10.1 tells us that \mathcal{F}(X) is isomorphic to a subalgebra of

\mathcal{E}(X) = \mathrm{End} \mathcal{F}(X),

and in this very concrete setup we can say precisely which subalgebra of \mathrm{E}(X) it is isomorphic to.

Proposition 10.2. The function algebra \mathcal{F}(X) is isomorphic to the diagonal subalgebra \mathcal{D}(X) of the endomorphism algebra \mathcal{E}(X).

Proof: Let \{E_x \colon x \in X\} be the orthonormal basis of elementary functions in \mathcal{F}(X). We have then have a corresponding basis of elementary operators \{E_{yx} \colon x,y \in X\} in \mathcal{E}(X)=\mathcal{F}(X). Let \Phi \colon \mathcal{F}(X) \to \mathcal{E}(X) be the left multiplication map, as in the proof of Theorem 10.1. Then, for any x,y \in X we have

\Phi(E_x)E_y = E_xE_y = \delta_{xy}E_x,

where we used the fact that the elementary functions in \mathcal{F}(X) are a basis of orthogonal idempotents. On the other hand, we have

E_{xx}(E_y) = E_x \langle E_x,E_y \rangle = \delta_{xy}E_x.

This shows that \Phi(E_x) = E_{xx}. \square

One may also consider Proposition 10.2 from a matrix perspective. Let us choose an ordering x_1,\dots,x_n of X. Then, the elementary functions E_{x_1},\dots,E_{x_n} become an ordered orthonormal basis of \mathcal{F}(X), and for any function A \in \mathcal{F}(X) we can represent the operator \Phi(A) \in \mathcal{E}(X) as a matrix [\Phi(A)]. The proposition above says that

[\Phi(A)]=\begin{bmatrix} A(x_1) & {} & {} \\ {} & \ddots & {} \\ {} & {} & A(x_n) \end{bmatrix}.

Thus, \Phi is sending a function A on X to the diagonal matrix whose diagonal entries are the values of that function. Make sure you understand this.

Theorem 10.1 is our first result in representation theory.

Definition 10.3. A linear representation of an algebra \mathcal{A} is a pair $(V,\Phi)$ consisting of a Hilbert space V together with an algebra homomorphism \Phi \colon \mathcal{A} \to \mathrm{End}(V). One says that V carries a representation of \mathcal{A}, and refers to \Phi as an action of \mathcal{A} on V.

The representation (V,\Phi) of \mathcal{A} constructed in Theorem 10.1 is called the (left) regular representation of \mathcal{A}. The carrier space in this representation is V=\mathcal{A}, and \mathcal{A} acts on itself by left multiplication.

Problem 10.1 (Due Feb 8). Show that if an algebra \mathcal{A} admits a scalar product satisfying either the left-Frobenius identity or the right-Frobenius identity, then it admits a (possibly different) scalar product satisfying both Frobenius identities. In particular, explain why any algebra that admits a faithful state admits a (possibly different) faithful tracial state.

In this lecture we have seen that every von Neumann algebra \mathcal{A} is isomorphic to a subalgebra of \mathrm{End}(V) for some Hilbert space V. Therefore, it is of interest to classify subalgebras of the endomorphism algebra of a finite-dimensional Hilbert space. We will do this next week, explaining how this situation is in some ways analogous, and in other ways quite different, from the classification of subalgebras of \mathcal{F}(X) achieved earlier in the course.

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