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  2. Borel–Cantelli lemma - Wikipedia

    en.wikipedia.org/wiki/BorelCantelli_lemma

    It is named after Émile Borel and Francesco Paolo Cantelli, who gave statement to the lemma in the first decades of the 20th century. [1] [2] A related result, sometimes called the second BorelCantelli lemma, is a partial converse of the first BorelCantelli lemma. The lemma states that, under certain conditions, an event will have ...

  3. List of lemmas - Wikipedia

    en.wikipedia.org/wiki/List_of_lemmas

    Burnside's lemma also known as the Cauchy–Frobenius lemma; Frattini's lemma (finite groups) Goursat's lemma; Mautner's lemma (representation theory) Ping-pong lemma (geometric group theory) Schreier's subgroup lemma; Schur's lemma (representation theory) Zassenhaus lemma

  4. Convergence of random variables - Wikipedia

    en.wikipedia.org/wiki/Convergence_of_random...

    This is a direct implication from the BorelCantelli lemma. If S n is a sum of n real independent random variables: = + + then S n converges almost surely if and only if S n converges in probability. The proof can be found in Page 126 (Theorem 5.3.4) of the book by Kai Lai Chung. [13]

  5. Category:Theorems in measure theory - Wikipedia

    en.wikipedia.org/wiki/Category:Theorems_in...

    Download QR code; Print/export Download as PDF; Printable version; In other projects Wikidata item; Appearance. ... BorelCantelli lemma; Brunn–Minkowski theorem; C.

  6. Borel's lemma - Wikipedia

    en.wikipedia.org/wiki/Borel's_lemma

    Proofs of Borel's lemma can be found in many text books on analysis, including Golubitsky & Guillemin (1974) and Hörmander (1990), from which the proof below is taken. Note that it suffices to prove the result for a small interval I = (− ε , ε ), since if ψ ( t ) is a smooth bump function with compact support in (− ε , ε ) equal ...

  7. Proofs of convergence of random variables - Wikipedia

    en.wikipedia.org/wiki/Proofs_of_convergence_of...

    Proof: We will prove this statement using the portmanteau lemma, part A. First we want to show that (X n, c) converges in distribution to (X, c). By the portmanteau lemma this will be true if we can show that E[f(X n, c)] → E[f(X, c)] for any bounded continuous function f(x, y). So let f be such arbitrary bounded continuous function.

  8. Convergence of measures - Wikipedia

    en.wikipedia.org/wiki/Convergence_of_measures

    For (,) a measurable space, a sequence μ n is said to converge setwise to a limit μ if = ()for every set .. Typical arrow notations are and .. For example, as a consequence of the Riemann–Lebesgue lemma, the sequence μ n of measures on the interval [−1, 1] given by μ n (dx) = (1 + sin(nx))dx converges setwise to Lebesgue measure, but it does not converge in total variation.

  9. Normal number - Wikipedia

    en.wikipedia.org/wiki/Normal_number

    The concept of a normal number was introduced by Émile Borel . Using the BorelCantelli lemma , he proved that almost all real numbers are normal, establishing the existence of normal numbers. Wacław Sierpiński ( 1917 ) showed that it is possible to specify a particular such number.