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    Probabilities : Strong Law of Large Numbers

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    Recall that the sequence of random variables defined on the probability space converges near-certainly towards c if and only if
    converges towards c) = 1.
    The purpose of this exercise is to prove the following result:
    Strong law of large numbers:
    Let be a sequence of independent random variables with identical laws, such that , defined on the probability space . We denote:
    and .
    With these assumptions, the theorem states that converges near-certainly towards .

    1. Prove that , which we denote , is finite,
    that is finite,
    and that , which we denote m, is finite.

    Prove that for all , .
    2. Among the following terms, identify those which are equal to 0, and majorate the others as a function of (i.e., find a number, expressed in terms of , which is greater than or equal to the term):

    3. Deduce that there exists a constant C such that for all :
    .

    4. Denote and . Using Borel-Cantelli's lemma, prove that
    P(lim sup An) = 0 and conclude.

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    https://brainmass.com/math/probability/probabilities-strong-law-large-numbers-18560

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