Convergence of conditional expectations equivalence

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Suppose that as sequence of random variables $X_n$ and $X$ are defined on $(Omega,mathcalF,P)$ and $mathcalGsubset mathcalF$.
I know that for any $Gin mathcalG$,



$$
E[f(X_n)1_G]to E[f(X)1_G]
$$



for some bounded function $f$. Does it imply that



$$
E[f(X_n)mid mathcalG]to E[f(X)mid mathcalG] quadtexta.s.?
$$




The other way is trivial by an application of the dominated convergence theorem, i.e.



$$
lim_n E[f(X_n)1_G]=E[lim_n E[f(X_n)midmathcalG]1_G]= E[f(X)1_G].
$$







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    up vote
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    down vote

    favorite












    Suppose that as sequence of random variables $X_n$ and $X$ are defined on $(Omega,mathcalF,P)$ and $mathcalGsubset mathcalF$.
    I know that for any $Gin mathcalG$,



    $$
    E[f(X_n)1_G]to E[f(X)1_G]
    $$



    for some bounded function $f$. Does it imply that



    $$
    E[f(X_n)mid mathcalG]to E[f(X)mid mathcalG] quadtexta.s.?
    $$




    The other way is trivial by an application of the dominated convergence theorem, i.e.



    $$
    lim_n E[f(X_n)1_G]=E[lim_n E[f(X_n)midmathcalG]1_G]= E[f(X)1_G].
    $$







    share|cite|improve this question























      up vote
      1
      down vote

      favorite









      up vote
      1
      down vote

      favorite











      Suppose that as sequence of random variables $X_n$ and $X$ are defined on $(Omega,mathcalF,P)$ and $mathcalGsubset mathcalF$.
      I know that for any $Gin mathcalG$,



      $$
      E[f(X_n)1_G]to E[f(X)1_G]
      $$



      for some bounded function $f$. Does it imply that



      $$
      E[f(X_n)mid mathcalG]to E[f(X)mid mathcalG] quadtexta.s.?
      $$




      The other way is trivial by an application of the dominated convergence theorem, i.e.



      $$
      lim_n E[f(X_n)1_G]=E[lim_n E[f(X_n)midmathcalG]1_G]= E[f(X)1_G].
      $$







      share|cite|improve this question













      Suppose that as sequence of random variables $X_n$ and $X$ are defined on $(Omega,mathcalF,P)$ and $mathcalGsubset mathcalF$.
      I know that for any $Gin mathcalG$,



      $$
      E[f(X_n)1_G]to E[f(X)1_G]
      $$



      for some bounded function $f$. Does it imply that



      $$
      E[f(X_n)mid mathcalG]to E[f(X)mid mathcalG] quadtexta.s.?
      $$




      The other way is trivial by an application of the dominated convergence theorem, i.e.



      $$
      lim_n E[f(X_n)1_G]=E[lim_n E[f(X_n)midmathcalG]1_G]= E[f(X)1_G].
      $$









      share|cite|improve this question












      share|cite|improve this question




      share|cite|improve this question








      edited Jul 28 at 0:27
























      asked Jul 27 at 23:46









      akm47

      184




      184




















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          No. Take $mathcal G =mathcal F$. Let $X_n to X$ in probability. Then the hypothesis is satisfied for any bounded measurable $f$, But well known examples show that $f(X_n)$ need not converge almost surely. If you want $mathcal G$ to be properly contained in $mathcal F$ take the latter to be Lebesgue measurable sets in $(0,1)$, the former to be Borel sigma algebra, $F$ to be the identity function and consider the standard example of $X_n$ converging in probability but not almost surely.






          share|cite|improve this answer























          • I'm aware of this example, so I particularly specified that $mathcalG$ is a strict subset of $mathcalF$. Does it change anything?
            – akm47
            Jul 28 at 0:30










          • @akm47 I have edited the answer. I should point out that not every Mathematician uses $subset$ for proper subset. You should have added $mathcal G neq mathcal F$ in the statement.
            – Kavi Rama Murthy
            Jul 28 at 1:54










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          up vote
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          No. Take $mathcal G =mathcal F$. Let $X_n to X$ in probability. Then the hypothesis is satisfied for any bounded measurable $f$, But well known examples show that $f(X_n)$ need not converge almost surely. If you want $mathcal G$ to be properly contained in $mathcal F$ take the latter to be Lebesgue measurable sets in $(0,1)$, the former to be Borel sigma algebra, $F$ to be the identity function and consider the standard example of $X_n$ converging in probability but not almost surely.






          share|cite|improve this answer























          • I'm aware of this example, so I particularly specified that $mathcalG$ is a strict subset of $mathcalF$. Does it change anything?
            – akm47
            Jul 28 at 0:30










          • @akm47 I have edited the answer. I should point out that not every Mathematician uses $subset$ for proper subset. You should have added $mathcal G neq mathcal F$ in the statement.
            – Kavi Rama Murthy
            Jul 28 at 1:54














          up vote
          2
          down vote













          No. Take $mathcal G =mathcal F$. Let $X_n to X$ in probability. Then the hypothesis is satisfied for any bounded measurable $f$, But well known examples show that $f(X_n)$ need not converge almost surely. If you want $mathcal G$ to be properly contained in $mathcal F$ take the latter to be Lebesgue measurable sets in $(0,1)$, the former to be Borel sigma algebra, $F$ to be the identity function and consider the standard example of $X_n$ converging in probability but not almost surely.






          share|cite|improve this answer























          • I'm aware of this example, so I particularly specified that $mathcalG$ is a strict subset of $mathcalF$. Does it change anything?
            – akm47
            Jul 28 at 0:30










          • @akm47 I have edited the answer. I should point out that not every Mathematician uses $subset$ for proper subset. You should have added $mathcal G neq mathcal F$ in the statement.
            – Kavi Rama Murthy
            Jul 28 at 1:54












          up vote
          2
          down vote










          up vote
          2
          down vote









          No. Take $mathcal G =mathcal F$. Let $X_n to X$ in probability. Then the hypothesis is satisfied for any bounded measurable $f$, But well known examples show that $f(X_n)$ need not converge almost surely. If you want $mathcal G$ to be properly contained in $mathcal F$ take the latter to be Lebesgue measurable sets in $(0,1)$, the former to be Borel sigma algebra, $F$ to be the identity function and consider the standard example of $X_n$ converging in probability but not almost surely.






          share|cite|improve this answer















          No. Take $mathcal G =mathcal F$. Let $X_n to X$ in probability. Then the hypothesis is satisfied for any bounded measurable $f$, But well known examples show that $f(X_n)$ need not converge almost surely. If you want $mathcal G$ to be properly contained in $mathcal F$ take the latter to be Lebesgue measurable sets in $(0,1)$, the former to be Borel sigma algebra, $F$ to be the identity function and consider the standard example of $X_n$ converging in probability but not almost surely.







          share|cite|improve this answer















          share|cite|improve this answer



          share|cite|improve this answer








          edited Jul 28 at 1:52


























          answered Jul 28 at 0:25









          Kavi Rama Murthy

          19.9k2829




          19.9k2829











          • I'm aware of this example, so I particularly specified that $mathcalG$ is a strict subset of $mathcalF$. Does it change anything?
            – akm47
            Jul 28 at 0:30










          • @akm47 I have edited the answer. I should point out that not every Mathematician uses $subset$ for proper subset. You should have added $mathcal G neq mathcal F$ in the statement.
            – Kavi Rama Murthy
            Jul 28 at 1:54
















          • I'm aware of this example, so I particularly specified that $mathcalG$ is a strict subset of $mathcalF$. Does it change anything?
            – akm47
            Jul 28 at 0:30










          • @akm47 I have edited the answer. I should point out that not every Mathematician uses $subset$ for proper subset. You should have added $mathcal G neq mathcal F$ in the statement.
            – Kavi Rama Murthy
            Jul 28 at 1:54















          I'm aware of this example, so I particularly specified that $mathcalG$ is a strict subset of $mathcalF$. Does it change anything?
          – akm47
          Jul 28 at 0:30




          I'm aware of this example, so I particularly specified that $mathcalG$ is a strict subset of $mathcalF$. Does it change anything?
          – akm47
          Jul 28 at 0:30












          @akm47 I have edited the answer. I should point out that not every Mathematician uses $subset$ for proper subset. You should have added $mathcal G neq mathcal F$ in the statement.
          – Kavi Rama Murthy
          Jul 28 at 1:54




          @akm47 I have edited the answer. I should point out that not every Mathematician uses $subset$ for proper subset. You should have added $mathcal G neq mathcal F$ in the statement.
          – Kavi Rama Murthy
          Jul 28 at 1:54












           

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