[step:Show that averaged irreducible matrix coefficients are multiples of characters]
Let $\pi:G\to U(V)$ be an irreducible finite-dimensional continuous unitary complex representation, and let $d:=\dim_{\mathbb C}V$. Let $(\cdot,\cdot)_V$ be the Hermitian [inner product](/page/Inner%20Product) on $V$, linear in the first argument. For $v,w\in V$, define the matrix coefficient
\begin{align*}
m_{v,w}:G&\to \mathbb C
\end{align*}
\begin{align*}
y&\mapsto (\pi(y)v,w)_V.
\end{align*}
Define its conjugation average
\begin{align*}
P m_{v,w}:G&\to \mathbb C
\end{align*}
\begin{align*}
y&\mapsto \int_G m_{v,w}(aya^{-1})\,d\mu(a).
\end{align*}
We claim that
\begin{align*}
P m_{v,w}(y)=\frac{(v,w)_V}{d}\chi_\pi(y)
\end{align*}
for every $y\in G$.
Let $A_{v,w}:V\to V$ be the rank-one [linear map](/page/Linear%20Map)
\begin{align*}
A_{v,w}(u):=(u,w)_Vv.
\end{align*}
For every $y\in G$,
\begin{align*}
m_{v,w}(y)=\operatorname{tr}(A_{v,w}\pi(y)).
\end{align*}
Define
\begin{align*}
B_{v,w}:V&\to V
\end{align*}
\begin{align*}
u&\mapsto \int_G \pi(a)^{-1}A_{v,w}\pi(a)u\,d\mu(a).
\end{align*}
Then
\begin{align*}
P m_{v,w}(y)=\operatorname{tr}(B_{v,w}\pi(y)).
\end{align*}
For each $b\in G$, invariance of Haar measure gives
\begin{align*}
\pi(b)^{-1}B_{v,w}\pi(b)=B_{v,w}.
\end{align*}
Thus $B_{v,w}$ commutes with $\pi(b)$ for every $b\in G$. Since $\pi$ is irreducible, Schur's lemma gives a scalar $\lambda\in\mathbb C$ such that
\begin{align*}
B_{v,w}=\lambda I_V.
\end{align*}
Here Schur's lemma is being used as a standard representation-theoretic result not yet resolved to a theorem entry in the wiki.
Taking traces and using cyclicity of trace,
\begin{align*}
\operatorname{tr}(B_{v,w})=\int_G \operatorname{tr}(\pi(a)^{-1}A_{v,w}\pi(a))\,d\mu(a)=\int_G \operatorname{tr}(A_{v,w})\,d\mu(a)=\operatorname{tr}(A_{v,w}).
\end{align*}
Since $\operatorname{tr}(B_{v,w})=\lambda d$ and $\operatorname{tr}(A_{v,w})=(v,w)_V$, we have
\begin{align*}
\lambda=\frac{(v,w)_V}{d}.
\end{align*}
Therefore
\begin{align*}
P m_{v,w}(y)=\operatorname{tr}(\lambda I_V\pi(y))=\frac{(v,w)_V}{d}\chi_\pi(y).
\end{align*}
[/step]