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  2. Bolzano–Weierstrass theorem - Wikipedia

    en.wikipedia.org/wiki/Bolzano–Weierstrass_theorem

    Firstly, we will acknowledge that a sequence () (in or ) has a convergent subsequence if and only if there exists a countable set where is the index set of the sequence such that () converges. Let ( x n ) {\displaystyle (x_{n})} be any bounded sequence in R n {\displaystyle \mathbb {R} ^{n}} and denote its index set by I {\displaystyle I} .

  3. Monotone convergence theorem - Wikipedia

    en.wikipedia.org/wiki/Monotone_convergence_theorem

    Every bounded-above monotonically nondecreasing sequence of real numbers is convergent in the real numbers because the supremum exists and is a real number. The proposition does not apply to rational numbers because the supremum of a sequence of rational numbers may be irrational.

  4. Weak convergence (Hilbert space) - Wikipedia

    en.wikipedia.org/wiki/Weak_convergence_(Hilbert...

    However, bounded and weakly closed sets are weakly compact so as a consequence every convex bounded closed set is weakly compact. As a consequence of the principle of uniform boundedness, every weakly convergent sequence is bounded. The norm is (sequentially) weakly lower-semicontinuous: if converges weakly to x, then

  5. Cauchy sequence - Wikipedia

    en.wikipedia.org/wiki/Cauchy_sequence

    Every Cauchy sequence of real numbers is bounded, hence by Bolzano–Weierstrass has a convergent subsequence, hence is itself convergent. This proof of the completeness of the real numbers implicitly makes use of the least upper bound axiom .

  6. Helly's selection theorem - Wikipedia

    en.wikipedia.org/wiki/Helly's_selection_theorem

    In mathematics, Helly's selection theorem (also called the Helly selection principle) states that a uniformly bounded sequence of monotone real functions admits a convergent subsequence. In other words, it is a sequential compactness theorem for the space of uniformly bounded monotone functions. It is named for the Austrian mathematician Eduard ...

  7. Convergence of random variables - Wikipedia

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

    () for every lower semi-continuous function bounded below. [citation needed] The continuous mapping theorem states that for a continuous function g, if the sequence {X n} converges in distribution to X, then {g(X n)} converges in distribution to g(X).

  8. Uniform boundedness - Wikipedia

    en.wikipedia.org/wiki/Uniform_boundedness

    Every uniformly convergent sequence of bounded functions is uniformly bounded.; The family of functions () = ⁡ defined for real with traveling through the integers, is uniformly bounded by 1.

  9. Limit of a sequence - Wikipedia

    en.wikipedia.org/wiki/Limit_of_a_sequence

    The plot of a convergent sequence {a n} is shown in blue. Here, one can see that the sequence is converging to the limit 0 as n increases. In the real numbers , a number L {\displaystyle L} is the limit of the sequence ( x n ) {\displaystyle (x_{n})} , if the numbers in the sequence become closer and closer to L {\displaystyle L} , and not to ...