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.
$$
lim_n E[f(X_n)1_G]=E[lim_n E[f(X_n)midmathcalG]1_G]= E[f(X)1_G].
$$
probability-theory conditional-expectation
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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.
$$
lim_n E[f(X_n)1_G]=E[lim_n E[f(X_n)midmathcalG]1_G]= E[f(X)1_G].
$$
probability-theory conditional-expectation
add a comment |Â
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.
$$
lim_n E[f(X_n)1_G]=E[lim_n E[f(X_n)midmathcalG]1_G]= E[f(X)1_G].
$$
probability-theory conditional-expectation
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.
$$
lim_n E[f(X_n)1_G]=E[lim_n E[f(X_n)midmathcalG]1_G]= E[f(X)1_G].
$$
probability-theory conditional-expectation
edited Jul 28 at 0:27
asked Jul 27 at 23:46
akm47
184
184
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1 Answer
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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.
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
add a comment |Â
1 Answer
1
active
oldest
votes
1 Answer
1
active
oldest
votes
active
oldest
votes
active
oldest
votes
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.
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
add a comment |Â
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.
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
add a comment |Â
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.
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.
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
add a comment |Â
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
add a comment |Â
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