I am interested in the calculation of the multivariate gaussian integral \begin{equation*} \int_{\mathbb R^N} \mathrm d x_1\cdots \mathrm d x_N \; \prod_{j=1}^Ne^{-\frac{x_j^2}{2\sigma_j^2}}\delta\left(x-\sum_{l=1}^N c_l x_l\right) \end{equation*} for a set of $c_l\in\mathbb R$. Is there a way to solve the integral with this linear constraint? If so, how? As a simple separation of variables does not apply anymore, I would guess that a smart change of variables could be a way to tackle the calculation.
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Typically one uses the representation $\delta(f(x))={1\over 2\pi}\int dk e^{i k f(x)}$
answered Nov 14, 2019 at 9:25
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$\begingroup$ I see, that's convenient. Then I guess it's a matter of closing the square for the $N$ integrals in $x_j$; there's only an additional integration over a simple exponential in $k$ $\endgroup$– GrazCommented Nov 14, 2019 at 9:32
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1$\begingroup$ Actually, you will find that the integration will be an exponential in $k^2$ ( a Gaussian) $\endgroup$ Commented Nov 14, 2019 at 10:00