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The following results apply.
- Definition 1 could be rewritten by taking the limits as
- A non-UI sequence. Let, and define
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- Clearly, and indeed for all n. However,
- and comparing with definition 1, it is seen that the sequence is not uniformly integrable.
- By using Definition 2 in the above example, it can be seen that the first clause is not satisfied as the s are not bounded in . If is a UI random variable, by splitting
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- and bounding each of the two, it can be seen that a uniformly integrable random variable is always bounded in . It can also be shown that any random variable will satisfy clause 2 in Definition 2.
- If any sequence of random variables is dominated by an integrable, non-negative : that is, for all ω and n,
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- then the class of random variables is uniformly integrable.
- A class of random variables bounded in is uniformly integrable.
Read more about this topic: Uniform Integrability
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