a) Evaluate the one-dimensional Gaussian integral
$I(a)$ = $\int_R exp(-ax^2)dx$, $a>0$
b) evaluate the two-dimensional Gaussian integral using a)
$I_2(a,b)$ = $\int_{R^2} exp(-ax^2 -by^2)dxdy, a,b>0$
For a) I have done the following:
$\int_{-\infty}^{+\infty}$ $e^{-ax^2}dx = 2\int_0^{\infty}e^{-ax^2}dx $
$I^2$ = 4$\int_0^\infty$$\int_0^\infty$$e^{-a(x^2 + y^2)}dydx$
...
$I^2$ = $\sqrt{\pi a}$
$I$ = $\pi$$\sqrt a$
I am having difficulties understanding how to solve b) any help or guide will be appreciated.
Note that $e^{-ax^2-by^2} = e^{-a x^2}e^{-b y^2}$.
Then, note that $\iint_{\mathbb{R}^2} e^{-ax^2-by^2} dy dx = \iint_{\mathbb{R}^2} e^{-a x^2}e^{-b y^2} dy dx = \int_{\mathbb{R}} e^{-a x^2} dx \int_{\mathbb{R}} e^{-b y^2} dy$, and apply your result from part (a).
Also, note $\int_{\mathbb{R}} \frac{1}{\sqrt{2 \pi \sigma}} e^{-\frac{x^2}{2 \sigma^2}} dx = 1$ (compare this to your answer for part (a)).