The question is to compute the following multidimensional integral:
\begin{equation} \omega^{(T)}({\bf c}) := \int\limits_{{\mathbb R}^{2 T}} \delta\left( c_{1,1} - \sum\limits_{j=1}^T x_{1,j}^2 \right) \delta\left( c_{2,2} - \sum\limits_{j=1}^T x_{2,j}^2 \right) \delta\left( c_{1,2} - \sum\limits_{j=1}^T x_{1,j} x_{2,j} \right) \prod\limits_{j=1}^T d x_{1,j} d x_{2,j} \end{equation}
This is the ``density of states'' of the estimator of covariances in a random matrix ensemble. Using the definition of delta function and elementary integration I have checked that :
\begin{eqnarray} \omega^{(1)}({\bf c}) &=& \delta\left(\det(c)\right) \\ \omega^{(2)}({\bf c}) &=& \pi (\det(c))^{-1/2} \\ \omega^{(3)}({\bf c}) &=& \pi^2 1_{\det(c) >0} \\ \omega^{(4)}({\bf c}) &=& \pi^3 \left(\det(c)\right)^{1/2} \end{eqnarray}
where \begin{equation} {\bf c} := \left(\begin{array}{cc} c_{1,1} & c_{1,2} \\ c_{1,2} & c_{2,2} \end{array} \right) \end{equation}
The question is what is the result for generic values of $T$. I suspect that the result depends only on the determinant of the matrix ${\bf c}$.