5) Expectation Flashcards

1
Q

What is the Expectation of a random variable X defined on (Ω,F,P)

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2
Q

What are the properties of Expectation

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3
Q

How is the Lebesgue-Stieltjes (LS) integral constructed for X≥0 when X is a simple/elementary random variable

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4
Q

How is the Lebesgue-Stieltjes (LS) integral constructed for X≥0 when X is a general random variable

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5
Q

How is the Lebesgue-Stieltjes (LS) integral constructed for X∈R, a general random variable

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6
Q

What does it mean for a random variable X to be integrable

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7
Q

How is the Lebesgue-Stieltjes (LS) integral constructed with respect to a general measure μ

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8
Q

How is the LS integral written when S=R and 𝜇=λF

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9
Q

What is the “standard machine” in the context of proving linear statements

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10
Q

What is the Monotone Convergence Theorem

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11
Q

What is Fatou’s lemma

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12
Q

What is the Dominated Convergence Theorem

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13
Q

Why is the dominance condition necessary in the Dominated Convergence Theorem

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14
Q

Why is the dominance condition necessary in the Dominated Convergence Theorem, and what happens if it is removed

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15
Q

What is Scheffe’s Lemma

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16
Q

Is the dominance condition necessary for the Dominated Convergence Theorem, and how does it relate to Scheffé’s Lemma

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17
Q

What is the relationship between null sets and expectation

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18
Q

How do null sets affect the assumptions in key results like the Monotone Convergence Theorem and Dominated Convergence Theorem

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The assumptions in the Monotone Convergence Theorem (0≤Xn↑X), Fatou’s Lemma, the Dominated Convergence Theorem (Xn →X and ∣Xn∣≤Z), and Scheffé’s Lemma (Xn →X) need only hold almost surely (P-a.s.), meaning they are valid on a set of F-measurable outcomes with P-measure one. This highlights that null sets (sets with P(A)=0) do not impact these results.