Let X be a r.v. having the Cauchy distribution with parameters μ = 0 and Ï =
Question:
(i) The EX does not exist.
(ii) The ch.f. fx(t) = e-|t| t R.
Next, let X1¦.,Xn be independent r.v.s distributed as X and set Sn = X1 +¦+ Xn. Then
(iii) Identify the ch.f. fSn(t).
(iv) Show that
0 by showing that
Although, by intuition, one would expect such a convergence, because of symmetry about 0 of the Cauchy distribution! For part (ii), use the result
(see, e.g., integral 403 in Tallarida (1999); also see integral 635 in the same reference).
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Related Book For
An Introduction to Measure Theoretic Probability
ISBN: 978-0128000427
2nd edition
Authors: George G. Roussas
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