What's the motivation behind the notation $\langle X \rangle$ often used in physics for the expected value of the random variable $X$? The angled brackets tend to point me towards quantum mechanics and are reminiscent of $\langle \hat A \rangle_\psi = \langle \psi | \hat A | \psi \rangle$, but as far as I can tell, the analogy ends there. Are there other (more compelling) motivations?
2026-03-31 16:26:41.1774974401
Physics notation $\langle X \rangle$ for expected value
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See this blog post for an extended answer. Here is a brief summary:
Let's say that a random C*-algebra is a pair consisting of a C*-algebra $A$ and a state on $A$, which is a linear functional $\langle - \rangle : A \to \mathbb{C}$ such that
The Riesz-Markov theorem implies that if $A$ is commutative, then not only (by Gelfand-Naimark) is $A = C(X)$ the algebra of functions on a compact Hausdorff space, but $\langle - \rangle$ is given by taking expected values with respect to a Radon probability measure on $X$.
If $A$ is noncommutative then this is a setup for doing "noncommutative" or "quantum" probability. A typical example here is that $A = B(H)$ is the C*-algebra of bounded operators on a Hilbert space $H$, in which case we can take $\langle A \rangle = \langle \psi, A \psi \rangle$ for any unit vector $\psi \in H$. Conversely, given a random C*-algebra $A$ we can write down a (semi)-inner product on $A$ given by
$$\langle a, b \rangle = \langle a^{\dagger} b \rangle$$
and this begins the GNS construction, which in the end produces a Hilbert space on which $A$ acts and a vector in this Hilbert space reproducing the state on $A$.