Counterexample where X is not in the Lebesgue linear space.

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mehr1methanol
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I'm trying to find a counterexample where [itex]\lim_{n \to +\infty} P(|X|>n) = 0[/itex] but [itex]X \notin L[/itex] where [itex]L[/itex] is the lebesgue linear space.

[itex]∫|X|I(|X|>n)dp + ∫|X|I(|X|≤n)dp = ∫|X|dp[/itex] therefore

[itex]∫nI(|X|>n)dp + ∫|X|I(|X|)dp ≤ ∫|X|dp[/itex]

Suppose [itex]∫I(|X|>n)dp = 1/(n ln n)[/itex]
Clearly the hypothesis is satisfied because [itex]\lim_{n \to +\infty} P(|X|>n) = \lim_{n \to +\infty} ∫I(|X|>n)dp = \lim_{n \to +\infty} 1/( ln n) = 0[/itex]
But I'm not sure how to conclude [itex]∫|X| = ∞[/itex]
 
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mehr1methanol said:
I'm trying to find a counterexample where [itex]\lim_{n \to +\infty} P(|X|>n) = 0[/itex] but [itex]X \notin L[/itex] where [itex]L[/itex] is the lebesgue linear space.

Make another try at stating your question. What is [itex]X[/itex] ? Does the use of [itex]P(|X| > n) = 0[/itex] imply that [itex]X[/itex] is a random variable? What "lebesgue linear space" are you talking about? [itex]L_p[/itex] space? [itex]p = 2[/itex]?