(3) Let XXnX1,X2,⋯,Xn be iidiid random variables with
Cauchy(0,1)Cauchy(0,1) distribution. That is, the density of X1 is
1/(π(1+x2)) for x∈ℜ. Prove that (X1+X2+⋯+Xn)/n is again distributed
as Cauchy(0,1).
The following ``answers'' have been proposed. Please read the
choices very carefully and pick the most complete and accurate
choice.
(a) By the last exercise, the characteristic function of X1, is
e−|t|e−|t|. Therefore by the fact that the Xi are iid, the
characteristic function of their average is the product of n terms
each of which is e−|t|/ne−|t|/n, which finishes the result.
(b) By the last exercise, the characteristic function of X1, is
e−|t|e−|t|. Therefore by the fact that the XiXi are iid, the
characteristic function of their average is average of the
individual characteristics functions, namely the average of n
terms, each one of them being e^−|t|. The resulting average is
therefore e^−|t|
(c) By the last exercise, the characteristic function of X1, is
e−|t|e−|t|. Therefore by the fact that the XiXi are iid, the
characteristic function of their average converges to e^−|t| by the
usual central limit theorem for iid random variables.
(d) Actually the statement of the problem is false, because if this
were to be true, it will invalidate the central limit theorem as n
gets large.
(e) None of the above
The correct answer is
(3) Let XXnX1,X2,⋯,Xn be iidiid random variables with Cauchy(0,1)Cauchy(0,1) distribution. That is, the density of X1...
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