Probability Theory: Convergence of Random Variables and Martingales, Exams of Probability and Statistics

Five problems related to probability theory, covering topics such as convergence of random variables, weak convergence, martingales, and stochastic processes. The problems involve showing that the expected value of a random variable converges almost surely and in l1 given an increasing sequence of sigma-algebras, proving weak convergence of a sequence of random variables to a standard normal distribution, and applying the glivenko-cantelli theorem. Additionally, there are problems on finding a function making a sequence of random variables a martingale and finding the laplace transform of the hitting time of a random walk. These problems require a strong understanding of probability theory and stochastic processes.

Typology: Exams

2012/2013

Uploaded on 02/12/2013

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Probability Prelim, January 2013
1. Let (Fn:nN) be an increasing sequence of σ-algebras, and let F=σ(
n=1Fn).
Show that for any F-measurable integrable random variable X,E[X|Fn]X, a.s.
and in L1.
2. For each nN, let Xn,j ,j= 1, . . . , n be a sequence of independent random vari-
ables with EXn,j = 0. Let Sn=Pn
j=1 Xn,j, and assume that E(S2
n) = 1 and
Pn
j=1 E(|Xn,j|3)0. Prove that Snconverges weakly to a standard normal.
3. (Glivenko-Cantelli Theorem). Suppose that (Xn:nN) are IID uniform on [0,1].
For nN, let ˆ
Fn:R[0,1] be defined as ˆ
Fn(t) = Pn
j=1 1(−∞,t](Xj)
n. Prove that
supt[0,1]
ˆ
Fn(t)t
0, a.s.
(Hint: Consider first tof the form k
M, k = 0, . . . , M , for some large M. Estimate the
differences for other choices of tfrom these).
4. Let p(0,1). Let (Dn:nN) be IID with P(Dn= 1) = p, and P(Dn=1) = 1p.
Suppose that X0= 0, and for nN, let Xn=Pn
j=1 Dj.
(a) Find a function Λ : RRsuch that for each θ, (eθXnΛ(θ)n:nZ+) is a
martingale.
(b) Suppose that p1
2. Let τ= inf{nZ+:Xn= 1}. Find the Laplace transform
Eeρτ , ρ > 0.
5. Let (Bt:t0) be standard BM. For > 0, consider the event A={|B1|< }. For
0st < 1, find lim0E(BsBt1A)
P(A).
(Hint: Show that (BssB1, BttB1) is independent of B1and that E(BsB11A) =
O(3
2), as 0).

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Probability Prelim, January 2013

  1. Let (Fn : n ∈ N) be an increasing sequence of σ-algebras, and let F∞ = σ(∪∞ n=1Fn). Show that for any F∞-measurable integrable random variable X, E[X|Fn] → X, a.s. and in L^1.
  2. For each n ∈ N, let Xn,j , j = 1,... , n be a sequence of independent random vari- ables with EXn,j = 0. Let Sn =

∑n j=1 Xn,j^ , and assume that^ E(S (^2) n) = 1 and ∑n j=1 E(|Xn,j^ | (^3) ) → 0. Prove that Sn converges weakly to a standard normal.

  1. (Glivenko-Cantelli Theorem). Suppose that (Xn : n ∈ N) are IID uniform on [0, 1].

For n ∈ N, let Fˆn : R → [0, 1] be defined as Fˆn(t) =

∑n j=1 1 (−∞,t](Xj^ ) n.^ Prove that supt∈[0,1]

∣ Fˆn(t)^ −^ t

∣ →^ 0, a.s. (Hint: Consider first t of the form (^) Mk , k = 0,... , M , for some large M. Estimate the differences for other choices of t from these).

  1. Let p ∈ (0, 1). Let (Dn : n ∈ N) be IID with P (Dn = 1) = p, and P (Dn = −1) = 1−p. Suppose that X 0 = 0, and for n ∈ N, let Xn =

∑n j=1 Dj^. (a) Find a function Λ : R → R such that for each θ, (eθXn−Λ(θ)n^ : n ∈ Z+) is a martingale. (b) Suppose that p ≥ 12. Let τ = inf{n ∈ Z+ : Xn = 1}. Find the Laplace transform Ee−ρτ^ , ρ > 0.

  1. Let (Bt : t ≥ 0) be standard BM. For  > 0, consider the event A = {|B 1 | < }. For 0 ≤ s ≤ t < 1, find lim→ 0 E(B Ps (BAt^1 )A ). (Hint: Show that (Bs − sB 1 , Bt − tB 1 ) is independent of B 1 and that E(BsB 11 A ) = O( (^32) ), as  → 0).