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Given the joint probability density function of $X$ and $Y$ is $ f(x,y)=\cases{xy \exp\bigl(-\textstyle{1\over2}(x^2+y^2)\bigr),&$x>0,y>0$\cr 0\phantom{\Bigl[},& elsewhere.} $ Find $P(X^2+Y^2>4)$.

What approach should I use to solve this question? Transformation?

Hope someone can help me !_!

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    Yes, you should use a transformation to polar coordinates.2012-12-30

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Hint: Transformation to polar coordinates suggests itself here. Let $x=r\cos\theta$, $y=r\sin\theta$. Then $dx\,dy=r\,dr\,d\theta$. You will end up with $\int_{\theta=0}^{\pi/2}\int_{r=2}^\infty (\cos\theta\sin\theta) r^3e^{-r^2/2}\,dr\,d\theta.$

For the integration with respect to $r$, I suggest a substitution, then integration by parts, although direct integration by parts also works. For the trigonometric part, one can let $t=\sin\theta$.

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    I agree, using this in a bivariate transformation would be appropriate.2012-12-30
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This looks a lot like homework, but since an answer has already been posted, here are alternatives that do not use a transformation to polar coordinates and needing to integrate trigonometric functions.

Since $\frac{\mathrm d}{\mathrm dx} \exp(-x^2/2) = -x\exp(-x^2/2)$, it is possible to compute $P\{X^2+Y^2 \leq 4\} = \int_{x=0}^2 x\exp(-x^2/2)\int_{y=0}^{\sqrt{4-x^2}} y\exp(-y^2/2)\,\mathrm dy\,\mathrm dx$ without resorting to a transformation to polar coordinates. The inner integral should work out to something like $1 - \exp(-(4-x^2)/2) = 1 - e^{-2}\exp(x^2/2)$ which will change the integrand of the outer integral to something like $x\exp(-x^2/2)-e^{-2}x$ which can also be easily integrated.

As yet another approach, note that $X$ and $Y$ are independent Rayleigh random variables and so $X = \sqrt{Z_1^2+Z_2^2},~ Y = \sqrt{Z_3^2+Z_4^2}$ where $Z_1, Z_2, Z_3, Z_4$ are independent standard normal random variables. Thus $P\{X^2+Y^2 > 4\}$ is the probability that a $\chi^2$ random variable $W = X^2+Y^2 = Z_1^2+Z_2^2+Z_3^2+Z_4^2$ exceeds $4$.