Math 202B: Lecture 14

We have been comparing and contrasting the function algebra \mathcal{F}(G) of a finite group G with its convolution algebra \mathcal{C}(G). These objects are the same as vector spaces, but very different as algebras. In particular, we understand what is happening inside \mathcal{F}(G) very well, in the sense that we know all of its subalgebras, whereas our understanding of subalgebras of \mathcal{C}(G) is limited to those coming from subgroups H \leq G together with the class algebra \mathcal{K}(G) =Z(\mathcal{C}(G)).

Today we will compare and contrast \mathcal{F}(G) and \mathcal{C}(G) through the lens of states and traces. The starting point is the same in both cases: a very simple lemma identifying linear functionals on a function algebra \mathcal{F}(X) with functions in \mathcal{F}(X).

Lemma 14.1. For any set X, linear functionals on \mathcal{F}(X) are in linear bijection with functions in \mathcal{F}(X).

Proof: For any functional \varphi \colon \mathcal{F}(X) \to \mathbb{C}, linear or not, we get a corresponding function F_\varphi \in \mathcal{F}(X) defined by

F_\varphi(x) = \varphi(E_x), \quad x \in X.

If \varphi is a linear functional on \mathcal{F}(X), then it is uniquely determined by its values on the basis \{E_x \colon x \in X\} of elementary functions, hence \varphi is uniquely determined by F_\varphi. Conversely, if F \in \mathcal{F}(X) is any function, we can define a linear functional on \mathcal{F}(X) by

\varphi_F(E_x) = F(x), \quad x \in X.

It is clear that the maps \varphi \mapsto F_\varphi and F \mapsto \varphi_F are inverses of one another. \square

Recall our classification of states on \mathcal{F}(X), obtained using Lemma 14.1.

Theorem 14.2. The following are equivalent:

  1. P is a probability function on X.
  2. \tau_P is a state on \mathcal{F}(X).

In fact, we know a few enhancements of Theorem 14.2: first, \tau_P is a faithful state if and only if P(x)>0 for all $x \in X$; second, \tau_P is an algebra homomorphism if and only if P=E_x for some x \in X. In particular, all homomorphisms \mathcal{F}(X) \to \mathbb{C} are evaluation at a point, i.e. maps of the form A \mapsto A(x_0) for a particular x_0 \in X.

As vector spaces, \mathcal{F}(G) and \mathcal{C}(G) are not just isomorphic they are equal, hence Lemma 14.1 applies verbatim. However, since \mathcal{F}(G) and \mathcal{C}(G) are quite different as algebras, the classification of states on \mathcal{C}(G) is going to be quite different. To prepare yourself for this, solve the following problem.

Problem 14.1. Let P \in \mathcal{C}(G) be a probability function. Prove that the corresponding linear functional \varphi_P is a state on \mathcal{C}(G) if and only if P=E_e is the indicator function of the group identity e \in G. Conclude that in this case \varphi_P(A) = A(e) is evaluation at e, but that this is not an algebra homomorphism \mathcal{C}(G) \to \mathbb{C}.

Now let us determine which functions P \in \mathcal{C}(G) correspond to states on \mathcal{C}(G). The normalization condition is straightforward: since the multiplicative identity I \in \mathcal{C}(G) is I=E_e, we have

\tau_P(I)=1 \iff \tau_P(E_e)=1 \iff P(e)=1.

Now let us consider what property P \in \mathcal{C}(G) must have in order for \tau_P to be a nonnegative functional. For an arbitrary function

A=\sum\limits_{g \in G} \alpha_g E_g,

we have

A^*=\sum\limits_{g \in G} \overline{\alpha_g}E_{g^{-1}},

so that

\tau_P(A^*A) = \sum\limits_{g,h \in G} \overline{\alpha}_g\alpha_hP(g^{-1}h).

Hence if we pick an ordering g_1,\dots,g_n of G, and write \alpha_i=\alpha_{g_i}, this becomes

\tau_P(A^*A) = \sum\limits_{i,j=1}^N \overline{\alpha_i}\alpha_j P(g_i^{-1}g_j).

Definition 14.3. A complex-valued function P on a group G is said to be nonnegative if for any n \in \mathbb{N}, any \alpha_1,\dots,\alpha_n \in \mathbb{C}, and any g_1,\dots,g_n \in G we have

\sum\limits_{i,j=1}^n \overline{\alpha}_i\alpha_j P(g_i^{-1}g_j) \geq 0.

Problem 14.2. Prove P is a nonnegative function on G if and only if, for all n \in \mathbb{N} and g_1,\dots,g_n \in G the matrix [P(g_i^{-1}g_j)]_{i,j=1}^n is Hermitian and has nonnegative eigenvalues. What is this matrix if P=E_e?

With the above in place, we can state our classification of states on the convolution algebra \mathcal{C}(G) of a finite group G as follows.

Theorem 14.4. The following are equivalent:

  1. P is a nonnegative function on G;
  2. \tau_P is a state on \mathcal{C}(G).

The classification of states on \mathcal{C}(G) is even more straightforward.

Theorem 14.5. The following are equivalent:

  1. P is a central function on G;
  2. \tau_P is a trace on \mathcal{C}(G).

Proof: Suppose P \in \mathcal{C}(G) is central. We know from last lecture that this is equivalent to P(gh)=P(hg). Thus,

\tau_P(E_gE_h)=P(gh)=P(hg)=\tau_P(E_hE_g).

Conversely, if \tau_P is a trace on \mathcal{C}(G) then

P(gh)=\tau_P(E_{gh})=\tau_P(E_gE_h)=\tau_P(E_hE_g) = \tau_P(E_{hg})=P(hg),

whence P is central. \square

We now have a complete classification of states and traces on the convolution algebra \mathcal{C}(G) of a finite group G. Namely, every linear functional on \mathcal{C}(G) has the form

\tau_P(E_g)=P(g), \quad g \in G

for some function P \in \mathcal{C}(G). We know that \tau_P is a state if and only if P(e)=1 and [P(g^{-1}h)]_{g,h \in G} is a nonnegative Hermitian matrix. We know that P is a trace if and only if P(gh)=P(hg) is a central function on G.

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