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Problem with truthfulness of equivalence.


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0












$begingroup$


Let $X_n$ be a sequance of random variables. I wonder about this equivalence :
$${displaystyle {overset {}{X_{n} {xrightarrow {p}} 0 }}} Leftrightarrow E(X_n)rightarrow0 $$



"$Rightarrow$"



If ${displaystyle {overset {}{X_{n} {xrightarrow {p}} 0 }}}$ then for very big $n$ $(X_n)$ only take values very close to zero, so Expected value of $(X_n)$ is also arbitrarily close to zero. So it has to be : $E(X_n)rightarrow0.$



"$Leftarrow$"



Let's take $X_n$ ~ $U[-1,1]$. Then for any $n$, we have $E(X_n)=0, so ;E(X_n)rightarrow0.$



But $P(|X_n|<varepsilon) neq1 $, so $X_n$ dosen't converge to $0$ in probability.




Am i thinning correctly ?











share|cite|improve this question









$endgroup$












  • $begingroup$
    But i didn't prove by example
    $endgroup$
    – Louis
    Mar 14 at 20:45










  • $begingroup$
    I wanted to show that the "$Leftarrow$" implication is not true.
    $endgroup$
    – Louis
    Mar 14 at 20:49










  • $begingroup$
    By counterexample.
    $endgroup$
    – Louis
    Mar 14 at 20:49
















0












$begingroup$


Let $X_n$ be a sequance of random variables. I wonder about this equivalence :
$${displaystyle {overset {}{X_{n} {xrightarrow {p}} 0 }}} Leftrightarrow E(X_n)rightarrow0 $$



"$Rightarrow$"



If ${displaystyle {overset {}{X_{n} {xrightarrow {p}} 0 }}}$ then for very big $n$ $(X_n)$ only take values very close to zero, so Expected value of $(X_n)$ is also arbitrarily close to zero. So it has to be : $E(X_n)rightarrow0.$



"$Leftarrow$"



Let's take $X_n$ ~ $U[-1,1]$. Then for any $n$, we have $E(X_n)=0, so ;E(X_n)rightarrow0.$



But $P(|X_n|<varepsilon) neq1 $, so $X_n$ dosen't converge to $0$ in probability.




Am i thinning correctly ?











share|cite|improve this question









$endgroup$












  • $begingroup$
    But i didn't prove by example
    $endgroup$
    – Louis
    Mar 14 at 20:45










  • $begingroup$
    I wanted to show that the "$Leftarrow$" implication is not true.
    $endgroup$
    – Louis
    Mar 14 at 20:49










  • $begingroup$
    By counterexample.
    $endgroup$
    – Louis
    Mar 14 at 20:49














0












0








0





$begingroup$


Let $X_n$ be a sequance of random variables. I wonder about this equivalence :
$${displaystyle {overset {}{X_{n} {xrightarrow {p}} 0 }}} Leftrightarrow E(X_n)rightarrow0 $$



"$Rightarrow$"



If ${displaystyle {overset {}{X_{n} {xrightarrow {p}} 0 }}}$ then for very big $n$ $(X_n)$ only take values very close to zero, so Expected value of $(X_n)$ is also arbitrarily close to zero. So it has to be : $E(X_n)rightarrow0.$



"$Leftarrow$"



Let's take $X_n$ ~ $U[-1,1]$. Then for any $n$, we have $E(X_n)=0, so ;E(X_n)rightarrow0.$



But $P(|X_n|<varepsilon) neq1 $, so $X_n$ dosen't converge to $0$ in probability.




Am i thinning correctly ?











share|cite|improve this question









$endgroup$




Let $X_n$ be a sequance of random variables. I wonder about this equivalence :
$${displaystyle {overset {}{X_{n} {xrightarrow {p}} 0 }}} Leftrightarrow E(X_n)rightarrow0 $$



"$Rightarrow$"



If ${displaystyle {overset {}{X_{n} {xrightarrow {p}} 0 }}}$ then for very big $n$ $(X_n)$ only take values very close to zero, so Expected value of $(X_n)$ is also arbitrarily close to zero. So it has to be : $E(X_n)rightarrow0.$



"$Leftarrow$"



Let's take $X_n$ ~ $U[-1,1]$. Then for any $n$, we have $E(X_n)=0, so ;E(X_n)rightarrow0.$



But $P(|X_n|<varepsilon) neq1 $, so $X_n$ dosen't converge to $0$ in probability.




Am i thinning correctly ?








probability-theory proof-verification convergence






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share|cite|improve this question










asked Mar 14 at 20:40









LouisLouis

195




195












  • $begingroup$
    But i didn't prove by example
    $endgroup$
    – Louis
    Mar 14 at 20:45










  • $begingroup$
    I wanted to show that the "$Leftarrow$" implication is not true.
    $endgroup$
    – Louis
    Mar 14 at 20:49










  • $begingroup$
    By counterexample.
    $endgroup$
    – Louis
    Mar 14 at 20:49


















  • $begingroup$
    But i didn't prove by example
    $endgroup$
    – Louis
    Mar 14 at 20:45










  • $begingroup$
    I wanted to show that the "$Leftarrow$" implication is not true.
    $endgroup$
    – Louis
    Mar 14 at 20:49










  • $begingroup$
    By counterexample.
    $endgroup$
    – Louis
    Mar 14 at 20:49
















$begingroup$
But i didn't prove by example
$endgroup$
– Louis
Mar 14 at 20:45




$begingroup$
But i didn't prove by example
$endgroup$
– Louis
Mar 14 at 20:45












$begingroup$
I wanted to show that the "$Leftarrow$" implication is not true.
$endgroup$
– Louis
Mar 14 at 20:49




$begingroup$
I wanted to show that the "$Leftarrow$" implication is not true.
$endgroup$
– Louis
Mar 14 at 20:49












$begingroup$
By counterexample.
$endgroup$
– Louis
Mar 14 at 20:49




$begingroup$
By counterexample.
$endgroup$
– Louis
Mar 14 at 20:49










1 Answer
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$begingroup$

Take $X_n=nI(Zin [0, 1/n])$ where $Zsim text{Unif}[0, 1]$. Then $X_nto 0$ almost surely, and hence in probability yet $EX_n=1$ for all $n$ so $EX_nnotto 0$.






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    $begingroup$

    Take $X_n=nI(Zin [0, 1/n])$ where $Zsim text{Unif}[0, 1]$. Then $X_nto 0$ almost surely, and hence in probability yet $EX_n=1$ for all $n$ so $EX_nnotto 0$.






    share|cite|improve this answer









    $endgroup$


















      0












      $begingroup$

      Take $X_n=nI(Zin [0, 1/n])$ where $Zsim text{Unif}[0, 1]$. Then $X_nto 0$ almost surely, and hence in probability yet $EX_n=1$ for all $n$ so $EX_nnotto 0$.






      share|cite|improve this answer









      $endgroup$
















        0












        0








        0





        $begingroup$

        Take $X_n=nI(Zin [0, 1/n])$ where $Zsim text{Unif}[0, 1]$. Then $X_nto 0$ almost surely, and hence in probability yet $EX_n=1$ for all $n$ so $EX_nnotto 0$.






        share|cite|improve this answer









        $endgroup$



        Take $X_n=nI(Zin [0, 1/n])$ where $Zsim text{Unif}[0, 1]$. Then $X_nto 0$ almost surely, and hence in probability yet $EX_n=1$ for all $n$ so $EX_nnotto 0$.







        share|cite|improve this answer












        share|cite|improve this answer



        share|cite|improve this answer










        answered Mar 14 at 21:01









        Foobaz JohnFoobaz John

        22.8k41452




        22.8k41452






























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