A sequence of random variables, such that CDF converges












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Given a sequence of random variables $X_n$, is it true that for some
of its subsequences $X_{n(k)}$ there is a random variable $X$ such
that $F_{X_{n(k)}}(t) → F_{X}(t)$ for all $t ∈ mathbb{R}$. (F is a CDF.)




I guess it's true, but have I trouble proving that, and don't even understand how to approach that. Any input would be greatly appreciated!










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    0












    $begingroup$



    Given a sequence of random variables $X_n$, is it true that for some
    of its subsequences $X_{n(k)}$ there is a random variable $X$ such
    that $F_{X_{n(k)}}(t) → F_{X}(t)$ for all $t ∈ mathbb{R}$. (F is a CDF.)




    I guess it's true, but have I trouble proving that, and don't even understand how to approach that. Any input would be greatly appreciated!










    share|cite|improve this question











    $endgroup$















      0












      0








      0





      $begingroup$



      Given a sequence of random variables $X_n$, is it true that for some
      of its subsequences $X_{n(k)}$ there is a random variable $X$ such
      that $F_{X_{n(k)}}(t) → F_{X}(t)$ for all $t ∈ mathbb{R}$. (F is a CDF.)




      I guess it's true, but have I trouble proving that, and don't even understand how to approach that. Any input would be greatly appreciated!










      share|cite|improve this question











      $endgroup$





      Given a sequence of random variables $X_n$, is it true that for some
      of its subsequences $X_{n(k)}$ there is a random variable $X$ such
      that $F_{X_{n(k)}}(t) → F_{X}(t)$ for all $t ∈ mathbb{R}$. (F is a CDF.)




      I guess it's true, but have I trouble proving that, and don't even understand how to approach that. Any input would be greatly appreciated!







      probability-theory






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      edited Dec 23 '18 at 21:25







      Paprika

















      asked Dec 23 '18 at 21:20









      PaprikaPaprika

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          No, it is not true as stated. For instance, if $P(X_n=n)=1$ for all $n$, your supposed $X$ would have cdf. $F_X(t)=0$ for all $t$.



          But it is close to something true & important: Prokhorov's Theorem, which covers the case where the $X_n$ are ``tight'', that is, for every $epsilon$ there is a $K$ such that $P|X_n|>K)<epsilon$ for all $n$. (Which of course is not satisfied by the example in the above paragraph.)






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            $begingroup$

            No, it is not true as stated. For instance, if $P(X_n=n)=1$ for all $n$, your supposed $X$ would have cdf. $F_X(t)=0$ for all $t$.



            But it is close to something true & important: Prokhorov's Theorem, which covers the case where the $X_n$ are ``tight'', that is, for every $epsilon$ there is a $K$ such that $P|X_n|>K)<epsilon$ for all $n$. (Which of course is not satisfied by the example in the above paragraph.)






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              $begingroup$

              No, it is not true as stated. For instance, if $P(X_n=n)=1$ for all $n$, your supposed $X$ would have cdf. $F_X(t)=0$ for all $t$.



              But it is close to something true & important: Prokhorov's Theorem, which covers the case where the $X_n$ are ``tight'', that is, for every $epsilon$ there is a $K$ such that $P|X_n|>K)<epsilon$ for all $n$. (Which of course is not satisfied by the example in the above paragraph.)






              share|cite|improve this answer









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                1





                $begingroup$

                No, it is not true as stated. For instance, if $P(X_n=n)=1$ for all $n$, your supposed $X$ would have cdf. $F_X(t)=0$ for all $t$.



                But it is close to something true & important: Prokhorov's Theorem, which covers the case where the $X_n$ are ``tight'', that is, for every $epsilon$ there is a $K$ such that $P|X_n|>K)<epsilon$ for all $n$. (Which of course is not satisfied by the example in the above paragraph.)






                share|cite|improve this answer









                $endgroup$



                No, it is not true as stated. For instance, if $P(X_n=n)=1$ for all $n$, your supposed $X$ would have cdf. $F_X(t)=0$ for all $t$.



                But it is close to something true & important: Prokhorov's Theorem, which covers the case where the $X_n$ are ``tight'', that is, for every $epsilon$ there is a $K$ such that $P|X_n|>K)<epsilon$ for all $n$. (Which of course is not satisfied by the example in the above paragraph.)







                share|cite|improve this answer












                share|cite|improve this answer



                share|cite|improve this answer










                answered Dec 23 '18 at 21:26









                kimchi loverkimchi lover

                10.8k31128




                10.8k31128






























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