Exercise 3: Let (Yn)neN be a sequence of random variables with the property -a < Y, < 0 for a constant a, 0 < a < 0, and Ym < Yn for Vm < n. i) Why does the Monotone Convergence Theorem for (Y)nEN not hold? ii) Show that lim E[Y,] = E[ lim Y,]. n-00
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- Does the Bounded Convergence Theorem hold if m(E)<∞ but we drop the assumption that the sequence {|fn|} is uniformly bounded on E?Let {Xn} and {Yn} be sequences of random variables such that Xn diverges to ∞ in probability and Yn is bounded in probability. Show that Xn +Yn diverges to ∞ in probability.Suppose that we observe that X1, X2, . . . , Xn are iid∼ U(0, 1). Show that X(1)converges in probability to zero.
- (b) Give an example to show that the product (fngn) may not converge uniformly.Show how the hyperharmonic series of order p, ∑(1/np) (p ∈ E1), converges if p > 1. Hence if p ≤ 1, then ∑_(n=1)^∞ (1/np) ≥ ∑_(n=1)^∞ (1/n) = +∞. or if p > 1, then ∑_(n=1)^∞ (1/np) = 1 + (1/2p + 1/3p) + (1/4p +...+1/7p) + (1/8p +...+1/15p)+... ≤ 1 + (1/2p + 1/2p) + (1/4p +...+1/4p) + (1/8p +...+1/8p)+... = ∑_(n=0)^∞ (2p-1)n, is a convergent geometric series. Why?. Let gn = nχ[1/n,2/n] and g = 0. Show thatZ 20g 6= limn→∞ Z 20gn.Does the sequence (gn) converge uniformly to g? Does the Monotone Convergence Theoremapply? Does Fatou’s Lemma apply?
- Theorem: Suppose (Xn)n≥1 is a sequence of random variables with corresponding momentgenerating functions M_Xn , and X is a random variable with moment generating functionM_X such that for some δ > 0 we have M_X (t) < ∞ for all t ∈ (−δ, δ). If lim n→∞ MXn (t) = MX (t) for all t, then lim n→∞ F_Xn (x) = F_X (x) for all x where F_X is continuous. That is, if the moment generating functions of X_n converge to the moment generating function of X, then the distribution of X_n converges to the distribution of X. Use this to show that if Sn ∼ Binomial(n, λ/n ), then the distribution of Sn converges to Poisson(λ) as n → ∞.Let Z1, Z2,… be a sequence of random variables that converges to the random variable Z in probability. Which statement is true for the sequence Zi'=aZi+b with a,b∈R? Select one: a. The sequence Z1', Z2',... converges in probability to aZ+b as n tends to infinity. b. The sequence Z1', Z2',... converges in probability as n tends to infinity if and only if a,b≥0. c. The sequence Z1', Z2',... converges in probability to a2Z as n tends to infinity. d. The sequence Z1', Z2',... does not necessarily converge in probability.In Exercises 17-22, use the nth Term Divergence Test (Theorem 4) to prove that the following series diverge.