Characteristic Function of a Multivariate Cauchy
Hello, I am very lost with the following problem, is there a neat way of doing it, or just solving integral after integral is the way to go?
Any hint would be greatly appreciated.
Let
be independent of
. Show that
has characteristic function
 = \exp\{-(t^T \Sigma t)^{1/2}\})
Thanks in advance,
Re: Characteristic Function of a Multivariate Cauchy
Hey akolman.
Recall that the Moment Generating Function of a variable Y is E[e^(tY)] and in this case Y=X/Z and the expectation of E[X/Z] = Integral (over whole of R^2) (x/z)*f(x,z)dxdz.
The characteristic function of a random variable is simply MGF_Y(it) where MGF_Y(t) = E[e^(tY)] so the characteristic function is simply E[e^(itY)].
To start, setup your integral and see how you go.