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                            92                         Characteristic Functions

                                Show that
                                                                  ∞

                                                       E[g(X)] =   G(t)ϕ(t) dt.
                                                                 −∞
                            3.13 Consider a distribution on the real line with characteristic function
                                                          2
                                                                  2
                                                ϕ(t) = (1 − t /2) exp(−t /4),  −∞ < t < ∞.
                                Show that this distribution is absolutely continuous and find the density function of the distri-
                                bution.
                            3.14 Let ϕ 1 ,...,ϕ n denote characteristic functions for distributions on the real line. Let a 1 ,..., a n
                                denote nonnegative constants such that a 1 + ··· + a n = 1. Show that

                                                    ϕ(t) =  n    a j ϕ j (t),  −∞ < t < ∞
                                                          j=1
                                is also a characteristic function.
                            3.15 Let X and Y denote independent, real-valued random variables each with the same marginal
                                distribution and let ϕ denote the characteristic function of that distribution. Consider the random
                                vector (X + Y, X − Y) and let ϕ 0 denote its characteristic function. Show that
                                                                                  2
                                                ϕ 0 ((t 1 , t 2 )) = ϕ(t 1 + t 2 )ϕ(t 1 − t 2 ), (t 1 , t 2 ) ∈ R .
                            3.16 Consider an absolutely continuous distribution on the real line with density function p. Suppose
                                that p is piece-wise continuous with a jump at x 0 , −∞ < x 0 < ∞. Show that
                                                            ∞

                                                              |ϕ(t)| dt =∞,
                                                            −∞
                                where ϕ denotes the characteristic function of the distribution.
                            3.17 Suppose that X is a real-valued random variable. Suppose that there exists a constant M > 0
                                such that the support of X lies entirely in the interval [−M, M]. Let ϕ denote the characteristic
                                function of X. Show that ϕ is infinitely differentiable at 0.
                            3.18 Prove Corollary 3.3.
                            3.19 Let X denote a real-valued random variable with characteristic function
                                                      1
                                                 ϕ(t) =  [cos(t) + cos(tπ)],  −∞ < t < ∞.
                                                      2
                                (a) Is the distribution of X absolutely continuous?
                                                            r
                                (b) Does there exist an r such that E(X ) either does not exist or is infinite?
                            3.20 Let ϕ denote the characteristic function of the distribution with distribution function

                                                          0          if x < 0
                                                   F(x) =                       .
                                                          1 − exp(−x), if 0 ≤ x < ∞
                                Show that this distribution is absolutely continuous and that

                                                            ∞
                                                              |ϕ(t)| dt =∞.
                                                            −∞
                                Thus, the converse to Theorem 3.8 does not hold.
                            3.21 Find the density function of the distribution with characteristic function

                                                             1 −|t|  if |t|≤ 1
                                                       ϕ(t) =               .
                                                             0      otherwise
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