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The final exam questions for a limit theorems course. The questions cover topics such as infinitely divisible probability distributions, recurrent markov chains, and conditional probability. Students are required to prove theorems, analyze sequences of random variables, and understand the relationship between different subalgebras of a measure space.
Typology: Exams
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Limit Theorems Final Exam Due 10:30 a.m., December 16
∑n i=1 Xi. Prove that the sequence^ Sn^ is a recurrent Markov chain if and only if E[X 1 ] = 0. Is this still true if we allow the Xi to be unbounded?
f dQa. Suppose further that the following hold:
(a) A is μ-independent of B (i.e., for all A ∈ A and B ∈ B, μ(A ∩ B) = μ(A)μ(B))
(b) A is μ-independent of C
(c) For μ-almost all a, the algebras B and C are Qa-independent of each other.
Prove that A is μ-independent of the σ algebra generated by B ∪ C. Is this still true without requirement (c)?
(a) Is it possible to construct a finitely additive (though not necessarily σ-additive) probability measure on (Ω, B) that is invariant under all Hilbert space automorphisms of Ω (besides the trivial measure which assigns measure 1 to the origin)? [Hint: try a Gaussian measure. Recall: a Hilbert space automorphism T is a linear bijection from the Hilbert space to itself that preserves the inner product, i.e., (f, g) = (T f, T g)).]
(b) Is it possible to construct a σ-additive probability measure on (Ω, F) that is invariant under all Hilbert space automorphisms of Ω (besides the trivial measure which assigns measure 1 to the origin)?