Proving a sequence forms a martingale












1












$begingroup$


Let $Omega = mathbb N = {1,2,3,cdots}$ and $mathscr F_n$ be the $sigma$-field generated by the sets ${1},{2},cdots,{[n+1,infty)}$



Define a probability on $mathbb N$ by setting $mathbb P([n,infty)) = frac 1 n$



Show that



1) $f_n =(n+1)mathbf1_{[n+1,infty)}$ is a martingale

2) $f_n to 0 quad a.s.$



I'm having difficulty dealing with the indicator r.v. How do we get it out of the conditional expectation for $mathbf E[f_{n+1}mid mathcal{F}_n]$?



I tried to graph it out and I think I can see why it forms a martingale but I'm not able to prove it explicitly.



<span class=$f_n$">










share|cite|improve this question











$endgroup$












  • $begingroup$
    @saz, Any luck with this question?
    $endgroup$
    – Srinivas Eswar
    Apr 27 '15 at 15:08










  • $begingroup$
    I know how to solve this question, yes. But since you don't show any effort, I don't feel motivated to answer it.
    $endgroup$
    – saz
    Apr 27 '15 at 16:18










  • $begingroup$
    @saz, I have tried two ways to show it but I don't know if they're the right paths. The first attempt was to take $mathbb E[f_{n+1} lvert mathscr F_n]$ and split $[n+1,infty)$ into ${n} cup [n+1,infty)$ but the indicator variable is still within the expectation. My next attempt was to graph it out but I still can't get to the answer. I am truly stuck at this point. A pointer in the right direction would help.
    $endgroup$
    – Srinivas Eswar
    Apr 27 '15 at 17:16










  • $begingroup$
    So, any progress?
    $endgroup$
    – saz
    Apr 28 '15 at 18:10










  • $begingroup$
    @saz I sort of follow what you're saying but we never used $mathscr G$ in our study. My course is "classical probability" and tends to avoid measure theory. I'm still working out step 1. I'll update once I wrap my head around it.
    $endgroup$
    – Srinivas Eswar
    Apr 28 '15 at 22:19


















1












$begingroup$


Let $Omega = mathbb N = {1,2,3,cdots}$ and $mathscr F_n$ be the $sigma$-field generated by the sets ${1},{2},cdots,{[n+1,infty)}$



Define a probability on $mathbb N$ by setting $mathbb P([n,infty)) = frac 1 n$



Show that



1) $f_n =(n+1)mathbf1_{[n+1,infty)}$ is a martingale

2) $f_n to 0 quad a.s.$



I'm having difficulty dealing with the indicator r.v. How do we get it out of the conditional expectation for $mathbf E[f_{n+1}mid mathcal{F}_n]$?



I tried to graph it out and I think I can see why it forms a martingale but I'm not able to prove it explicitly.



<span class=$f_n$">










share|cite|improve this question











$endgroup$












  • $begingroup$
    @saz, Any luck with this question?
    $endgroup$
    – Srinivas Eswar
    Apr 27 '15 at 15:08










  • $begingroup$
    I know how to solve this question, yes. But since you don't show any effort, I don't feel motivated to answer it.
    $endgroup$
    – saz
    Apr 27 '15 at 16:18










  • $begingroup$
    @saz, I have tried two ways to show it but I don't know if they're the right paths. The first attempt was to take $mathbb E[f_{n+1} lvert mathscr F_n]$ and split $[n+1,infty)$ into ${n} cup [n+1,infty)$ but the indicator variable is still within the expectation. My next attempt was to graph it out but I still can't get to the answer. I am truly stuck at this point. A pointer in the right direction would help.
    $endgroup$
    – Srinivas Eswar
    Apr 27 '15 at 17:16










  • $begingroup$
    So, any progress?
    $endgroup$
    – saz
    Apr 28 '15 at 18:10










  • $begingroup$
    @saz I sort of follow what you're saying but we never used $mathscr G$ in our study. My course is "classical probability" and tends to avoid measure theory. I'm still working out step 1. I'll update once I wrap my head around it.
    $endgroup$
    – Srinivas Eswar
    Apr 28 '15 at 22:19
















1












1








1





$begingroup$


Let $Omega = mathbb N = {1,2,3,cdots}$ and $mathscr F_n$ be the $sigma$-field generated by the sets ${1},{2},cdots,{[n+1,infty)}$



Define a probability on $mathbb N$ by setting $mathbb P([n,infty)) = frac 1 n$



Show that



1) $f_n =(n+1)mathbf1_{[n+1,infty)}$ is a martingale

2) $f_n to 0 quad a.s.$



I'm having difficulty dealing with the indicator r.v. How do we get it out of the conditional expectation for $mathbf E[f_{n+1}mid mathcal{F}_n]$?



I tried to graph it out and I think I can see why it forms a martingale but I'm not able to prove it explicitly.



<span class=$f_n$">










share|cite|improve this question











$endgroup$




Let $Omega = mathbb N = {1,2,3,cdots}$ and $mathscr F_n$ be the $sigma$-field generated by the sets ${1},{2},cdots,{[n+1,infty)}$



Define a probability on $mathbb N$ by setting $mathbb P([n,infty)) = frac 1 n$



Show that



1) $f_n =(n+1)mathbf1_{[n+1,infty)}$ is a martingale

2) $f_n to 0 quad a.s.$



I'm having difficulty dealing with the indicator r.v. How do we get it out of the conditional expectation for $mathbf E[f_{n+1}mid mathcal{F}_n]$?



I tried to graph it out and I think I can see why it forms a martingale but I'm not able to prove it explicitly.



<span class=$f_n$">







probability-theory martingales






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share|cite|improve this question













share|cite|improve this question




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edited Jan 5 at 20:06









saz

81.5k861127




81.5k861127










asked Apr 22 '15 at 21:44









Srinivas EswarSrinivas Eswar

11911




11911












  • $begingroup$
    @saz, Any luck with this question?
    $endgroup$
    – Srinivas Eswar
    Apr 27 '15 at 15:08










  • $begingroup$
    I know how to solve this question, yes. But since you don't show any effort, I don't feel motivated to answer it.
    $endgroup$
    – saz
    Apr 27 '15 at 16:18










  • $begingroup$
    @saz, I have tried two ways to show it but I don't know if they're the right paths. The first attempt was to take $mathbb E[f_{n+1} lvert mathscr F_n]$ and split $[n+1,infty)$ into ${n} cup [n+1,infty)$ but the indicator variable is still within the expectation. My next attempt was to graph it out but I still can't get to the answer. I am truly stuck at this point. A pointer in the right direction would help.
    $endgroup$
    – Srinivas Eswar
    Apr 27 '15 at 17:16










  • $begingroup$
    So, any progress?
    $endgroup$
    – saz
    Apr 28 '15 at 18:10










  • $begingroup$
    @saz I sort of follow what you're saying but we never used $mathscr G$ in our study. My course is "classical probability" and tends to avoid measure theory. I'm still working out step 1. I'll update once I wrap my head around it.
    $endgroup$
    – Srinivas Eswar
    Apr 28 '15 at 22:19




















  • $begingroup$
    @saz, Any luck with this question?
    $endgroup$
    – Srinivas Eswar
    Apr 27 '15 at 15:08










  • $begingroup$
    I know how to solve this question, yes. But since you don't show any effort, I don't feel motivated to answer it.
    $endgroup$
    – saz
    Apr 27 '15 at 16:18










  • $begingroup$
    @saz, I have tried two ways to show it but I don't know if they're the right paths. The first attempt was to take $mathbb E[f_{n+1} lvert mathscr F_n]$ and split $[n+1,infty)$ into ${n} cup [n+1,infty)$ but the indicator variable is still within the expectation. My next attempt was to graph it out but I still can't get to the answer. I am truly stuck at this point. A pointer in the right direction would help.
    $endgroup$
    – Srinivas Eswar
    Apr 27 '15 at 17:16










  • $begingroup$
    So, any progress?
    $endgroup$
    – saz
    Apr 28 '15 at 18:10










  • $begingroup$
    @saz I sort of follow what you're saying but we never used $mathscr G$ in our study. My course is "classical probability" and tends to avoid measure theory. I'm still working out step 1. I'll update once I wrap my head around it.
    $endgroup$
    – Srinivas Eswar
    Apr 28 '15 at 22:19


















$begingroup$
@saz, Any luck with this question?
$endgroup$
– Srinivas Eswar
Apr 27 '15 at 15:08




$begingroup$
@saz, Any luck with this question?
$endgroup$
– Srinivas Eswar
Apr 27 '15 at 15:08












$begingroup$
I know how to solve this question, yes. But since you don't show any effort, I don't feel motivated to answer it.
$endgroup$
– saz
Apr 27 '15 at 16:18




$begingroup$
I know how to solve this question, yes. But since you don't show any effort, I don't feel motivated to answer it.
$endgroup$
– saz
Apr 27 '15 at 16:18












$begingroup$
@saz, I have tried two ways to show it but I don't know if they're the right paths. The first attempt was to take $mathbb E[f_{n+1} lvert mathscr F_n]$ and split $[n+1,infty)$ into ${n} cup [n+1,infty)$ but the indicator variable is still within the expectation. My next attempt was to graph it out but I still can't get to the answer. I am truly stuck at this point. A pointer in the right direction would help.
$endgroup$
– Srinivas Eswar
Apr 27 '15 at 17:16




$begingroup$
@saz, I have tried two ways to show it but I don't know if they're the right paths. The first attempt was to take $mathbb E[f_{n+1} lvert mathscr F_n]$ and split $[n+1,infty)$ into ${n} cup [n+1,infty)$ but the indicator variable is still within the expectation. My next attempt was to graph it out but I still can't get to the answer. I am truly stuck at this point. A pointer in the right direction would help.
$endgroup$
– Srinivas Eswar
Apr 27 '15 at 17:16












$begingroup$
So, any progress?
$endgroup$
– saz
Apr 28 '15 at 18:10




$begingroup$
So, any progress?
$endgroup$
– saz
Apr 28 '15 at 18:10












$begingroup$
@saz I sort of follow what you're saying but we never used $mathscr G$ in our study. My course is "classical probability" and tends to avoid measure theory. I'm still working out step 1. I'll update once I wrap my head around it.
$endgroup$
– Srinivas Eswar
Apr 28 '15 at 22:19






$begingroup$
@saz I sort of follow what you're saying but we never used $mathscr G$ in our study. My course is "classical probability" and tends to avoid measure theory. I'm still working out step 1. I'll update once I wrap my head around it.
$endgroup$
– Srinivas Eswar
Apr 28 '15 at 22:19












1 Answer
1






active

oldest

votes


















2












$begingroup$

Hints:




  1. It is well-known that a random variable $Y in L^1$ equals $mathbb{E}(X mid mathcal{F})$ if and only if it is $mathcal{F}$-measurable and $$int_G Y , dmathbb{P} = int_G X , dmathbb{P} qquad text{for all $G in mathcal{G}$}$$ where $mathcal{G}$ denotes a $cap$-stable generator of $mathcal{F}$, i.e. $sigma(mathcal{G}) = mathcal{F}$ and $$G_1, G_2 in mathcal{G} Rightarrow G_1 cap G_2 in mathcal{G}.$$ Check that $mathcal{G}_n := {emptyset,{1},{2},ldots,[n+1,infty)}$ is a $cap$-stable generator of $mathcal{F}_n$.

  2. In order to show that $f_n$ is a martingale, it suffices to show $$mathbb{E}(f_n mid mathcal{F}_{n-1}) = f_{n-1};$$ by step 1 this is equivalent to $$int_G f_n , dmathbb{P} = int_G f_{n-1} , dmathbb{P} tag{1}$$ for all $G in mathcal{G}_{n-1}$.

  3. By the very definition of $f_n$, we have $$begin{align*} A&:= int_G f_n , dmathbb{P} = (n+1) mathbb{P}(G cap [n+1,infty)) \ B &:= int_G f_{n-1} , dmathbb{P} = n mathbb{P}(G cap [n,infty)). end{align*}$$ We have to prove $A=B$ for all $G in mathcal{G}_{n-1}$. Consider two cases separately:

    • $G = {j}$ for some $j in {1,ldots,n-1}$: Since $G cap [ninfty) = G cap [n+1,infty)=emptyset$, we get $A=B=0$.

    • $G = [n,infty)$: Conclude from $G cap [n,infty)= [n,infty)$ and $G cap [n+1,infty) = [n+1,infty)$ that $A=B=1$.








share|cite|improve this answer











$endgroup$













  • $begingroup$
    I finally got back to this guy. I'm still not clear on a lot of things here. It's basically step 1. If I accept that I'm able to follow steps 2-3. Can you point me to some sources where I can read up on step 1. I can see how the addition of $phi$ has made $mathscr{G_n}$ $cap$-stable but I don't know anything about $L^1$ spaces or why this result (i.e. step 1) holds.
    $endgroup$
    – Srinivas Eswar
    Aug 28 '15 at 18:36












  • $begingroup$
    @SrinivasEswar What $phi$ are you talking about? Do you know the result for $mathcal{G} := mathcal{F}$? In this case, it is a standard characterization of cond. expectations which you can find in any textbook on this topic.
    $endgroup$
    – saz
    Aug 28 '15 at 22:15












  • $begingroup$
    I was referring to the null set. Thanks for the help.
    $endgroup$
    – Srinivas Eswar
    Aug 28 '15 at 23:45











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1 Answer
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1 Answer
1






active

oldest

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active

oldest

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active

oldest

votes









2












$begingroup$

Hints:




  1. It is well-known that a random variable $Y in L^1$ equals $mathbb{E}(X mid mathcal{F})$ if and only if it is $mathcal{F}$-measurable and $$int_G Y , dmathbb{P} = int_G X , dmathbb{P} qquad text{for all $G in mathcal{G}$}$$ where $mathcal{G}$ denotes a $cap$-stable generator of $mathcal{F}$, i.e. $sigma(mathcal{G}) = mathcal{F}$ and $$G_1, G_2 in mathcal{G} Rightarrow G_1 cap G_2 in mathcal{G}.$$ Check that $mathcal{G}_n := {emptyset,{1},{2},ldots,[n+1,infty)}$ is a $cap$-stable generator of $mathcal{F}_n$.

  2. In order to show that $f_n$ is a martingale, it suffices to show $$mathbb{E}(f_n mid mathcal{F}_{n-1}) = f_{n-1};$$ by step 1 this is equivalent to $$int_G f_n , dmathbb{P} = int_G f_{n-1} , dmathbb{P} tag{1}$$ for all $G in mathcal{G}_{n-1}$.

  3. By the very definition of $f_n$, we have $$begin{align*} A&:= int_G f_n , dmathbb{P} = (n+1) mathbb{P}(G cap [n+1,infty)) \ B &:= int_G f_{n-1} , dmathbb{P} = n mathbb{P}(G cap [n,infty)). end{align*}$$ We have to prove $A=B$ for all $G in mathcal{G}_{n-1}$. Consider two cases separately:

    • $G = {j}$ for some $j in {1,ldots,n-1}$: Since $G cap [ninfty) = G cap [n+1,infty)=emptyset$, we get $A=B=0$.

    • $G = [n,infty)$: Conclude from $G cap [n,infty)= [n,infty)$ and $G cap [n+1,infty) = [n+1,infty)$ that $A=B=1$.








share|cite|improve this answer











$endgroup$













  • $begingroup$
    I finally got back to this guy. I'm still not clear on a lot of things here. It's basically step 1. If I accept that I'm able to follow steps 2-3. Can you point me to some sources where I can read up on step 1. I can see how the addition of $phi$ has made $mathscr{G_n}$ $cap$-stable but I don't know anything about $L^1$ spaces or why this result (i.e. step 1) holds.
    $endgroup$
    – Srinivas Eswar
    Aug 28 '15 at 18:36












  • $begingroup$
    @SrinivasEswar What $phi$ are you talking about? Do you know the result for $mathcal{G} := mathcal{F}$? In this case, it is a standard characterization of cond. expectations which you can find in any textbook on this topic.
    $endgroup$
    – saz
    Aug 28 '15 at 22:15












  • $begingroup$
    I was referring to the null set. Thanks for the help.
    $endgroup$
    – Srinivas Eswar
    Aug 28 '15 at 23:45
















2












$begingroup$

Hints:




  1. It is well-known that a random variable $Y in L^1$ equals $mathbb{E}(X mid mathcal{F})$ if and only if it is $mathcal{F}$-measurable and $$int_G Y , dmathbb{P} = int_G X , dmathbb{P} qquad text{for all $G in mathcal{G}$}$$ where $mathcal{G}$ denotes a $cap$-stable generator of $mathcal{F}$, i.e. $sigma(mathcal{G}) = mathcal{F}$ and $$G_1, G_2 in mathcal{G} Rightarrow G_1 cap G_2 in mathcal{G}.$$ Check that $mathcal{G}_n := {emptyset,{1},{2},ldots,[n+1,infty)}$ is a $cap$-stable generator of $mathcal{F}_n$.

  2. In order to show that $f_n$ is a martingale, it suffices to show $$mathbb{E}(f_n mid mathcal{F}_{n-1}) = f_{n-1};$$ by step 1 this is equivalent to $$int_G f_n , dmathbb{P} = int_G f_{n-1} , dmathbb{P} tag{1}$$ for all $G in mathcal{G}_{n-1}$.

  3. By the very definition of $f_n$, we have $$begin{align*} A&:= int_G f_n , dmathbb{P} = (n+1) mathbb{P}(G cap [n+1,infty)) \ B &:= int_G f_{n-1} , dmathbb{P} = n mathbb{P}(G cap [n,infty)). end{align*}$$ We have to prove $A=B$ for all $G in mathcal{G}_{n-1}$. Consider two cases separately:

    • $G = {j}$ for some $j in {1,ldots,n-1}$: Since $G cap [ninfty) = G cap [n+1,infty)=emptyset$, we get $A=B=0$.

    • $G = [n,infty)$: Conclude from $G cap [n,infty)= [n,infty)$ and $G cap [n+1,infty) = [n+1,infty)$ that $A=B=1$.








share|cite|improve this answer











$endgroup$













  • $begingroup$
    I finally got back to this guy. I'm still not clear on a lot of things here. It's basically step 1. If I accept that I'm able to follow steps 2-3. Can you point me to some sources where I can read up on step 1. I can see how the addition of $phi$ has made $mathscr{G_n}$ $cap$-stable but I don't know anything about $L^1$ spaces or why this result (i.e. step 1) holds.
    $endgroup$
    – Srinivas Eswar
    Aug 28 '15 at 18:36












  • $begingroup$
    @SrinivasEswar What $phi$ are you talking about? Do you know the result for $mathcal{G} := mathcal{F}$? In this case, it is a standard characterization of cond. expectations which you can find in any textbook on this topic.
    $endgroup$
    – saz
    Aug 28 '15 at 22:15












  • $begingroup$
    I was referring to the null set. Thanks for the help.
    $endgroup$
    – Srinivas Eswar
    Aug 28 '15 at 23:45














2












2








2





$begingroup$

Hints:




  1. It is well-known that a random variable $Y in L^1$ equals $mathbb{E}(X mid mathcal{F})$ if and only if it is $mathcal{F}$-measurable and $$int_G Y , dmathbb{P} = int_G X , dmathbb{P} qquad text{for all $G in mathcal{G}$}$$ where $mathcal{G}$ denotes a $cap$-stable generator of $mathcal{F}$, i.e. $sigma(mathcal{G}) = mathcal{F}$ and $$G_1, G_2 in mathcal{G} Rightarrow G_1 cap G_2 in mathcal{G}.$$ Check that $mathcal{G}_n := {emptyset,{1},{2},ldots,[n+1,infty)}$ is a $cap$-stable generator of $mathcal{F}_n$.

  2. In order to show that $f_n$ is a martingale, it suffices to show $$mathbb{E}(f_n mid mathcal{F}_{n-1}) = f_{n-1};$$ by step 1 this is equivalent to $$int_G f_n , dmathbb{P} = int_G f_{n-1} , dmathbb{P} tag{1}$$ for all $G in mathcal{G}_{n-1}$.

  3. By the very definition of $f_n$, we have $$begin{align*} A&:= int_G f_n , dmathbb{P} = (n+1) mathbb{P}(G cap [n+1,infty)) \ B &:= int_G f_{n-1} , dmathbb{P} = n mathbb{P}(G cap [n,infty)). end{align*}$$ We have to prove $A=B$ for all $G in mathcal{G}_{n-1}$. Consider two cases separately:

    • $G = {j}$ for some $j in {1,ldots,n-1}$: Since $G cap [ninfty) = G cap [n+1,infty)=emptyset$, we get $A=B=0$.

    • $G = [n,infty)$: Conclude from $G cap [n,infty)= [n,infty)$ and $G cap [n+1,infty) = [n+1,infty)$ that $A=B=1$.








share|cite|improve this answer











$endgroup$



Hints:




  1. It is well-known that a random variable $Y in L^1$ equals $mathbb{E}(X mid mathcal{F})$ if and only if it is $mathcal{F}$-measurable and $$int_G Y , dmathbb{P} = int_G X , dmathbb{P} qquad text{for all $G in mathcal{G}$}$$ where $mathcal{G}$ denotes a $cap$-stable generator of $mathcal{F}$, i.e. $sigma(mathcal{G}) = mathcal{F}$ and $$G_1, G_2 in mathcal{G} Rightarrow G_1 cap G_2 in mathcal{G}.$$ Check that $mathcal{G}_n := {emptyset,{1},{2},ldots,[n+1,infty)}$ is a $cap$-stable generator of $mathcal{F}_n$.

  2. In order to show that $f_n$ is a martingale, it suffices to show $$mathbb{E}(f_n mid mathcal{F}_{n-1}) = f_{n-1};$$ by step 1 this is equivalent to $$int_G f_n , dmathbb{P} = int_G f_{n-1} , dmathbb{P} tag{1}$$ for all $G in mathcal{G}_{n-1}$.

  3. By the very definition of $f_n$, we have $$begin{align*} A&:= int_G f_n , dmathbb{P} = (n+1) mathbb{P}(G cap [n+1,infty)) \ B &:= int_G f_{n-1} , dmathbb{P} = n mathbb{P}(G cap [n,infty)). end{align*}$$ We have to prove $A=B$ for all $G in mathcal{G}_{n-1}$. Consider two cases separately:

    • $G = {j}$ for some $j in {1,ldots,n-1}$: Since $G cap [ninfty) = G cap [n+1,infty)=emptyset$, we get $A=B=0$.

    • $G = [n,infty)$: Conclude from $G cap [n,infty)= [n,infty)$ and $G cap [n+1,infty) = [n+1,infty)$ that $A=B=1$.









share|cite|improve this answer














share|cite|improve this answer



share|cite|improve this answer








edited Apr 28 '15 at 17:30

























answered Apr 27 '15 at 18:24









sazsaz

81.5k861127




81.5k861127












  • $begingroup$
    I finally got back to this guy. I'm still not clear on a lot of things here. It's basically step 1. If I accept that I'm able to follow steps 2-3. Can you point me to some sources where I can read up on step 1. I can see how the addition of $phi$ has made $mathscr{G_n}$ $cap$-stable but I don't know anything about $L^1$ spaces or why this result (i.e. step 1) holds.
    $endgroup$
    – Srinivas Eswar
    Aug 28 '15 at 18:36












  • $begingroup$
    @SrinivasEswar What $phi$ are you talking about? Do you know the result for $mathcal{G} := mathcal{F}$? In this case, it is a standard characterization of cond. expectations which you can find in any textbook on this topic.
    $endgroup$
    – saz
    Aug 28 '15 at 22:15












  • $begingroup$
    I was referring to the null set. Thanks for the help.
    $endgroup$
    – Srinivas Eswar
    Aug 28 '15 at 23:45


















  • $begingroup$
    I finally got back to this guy. I'm still not clear on a lot of things here. It's basically step 1. If I accept that I'm able to follow steps 2-3. Can you point me to some sources where I can read up on step 1. I can see how the addition of $phi$ has made $mathscr{G_n}$ $cap$-stable but I don't know anything about $L^1$ spaces or why this result (i.e. step 1) holds.
    $endgroup$
    – Srinivas Eswar
    Aug 28 '15 at 18:36












  • $begingroup$
    @SrinivasEswar What $phi$ are you talking about? Do you know the result for $mathcal{G} := mathcal{F}$? In this case, it is a standard characterization of cond. expectations which you can find in any textbook on this topic.
    $endgroup$
    – saz
    Aug 28 '15 at 22:15












  • $begingroup$
    I was referring to the null set. Thanks for the help.
    $endgroup$
    – Srinivas Eswar
    Aug 28 '15 at 23:45
















$begingroup$
I finally got back to this guy. I'm still not clear on a lot of things here. It's basically step 1. If I accept that I'm able to follow steps 2-3. Can you point me to some sources where I can read up on step 1. I can see how the addition of $phi$ has made $mathscr{G_n}$ $cap$-stable but I don't know anything about $L^1$ spaces or why this result (i.e. step 1) holds.
$endgroup$
– Srinivas Eswar
Aug 28 '15 at 18:36






$begingroup$
I finally got back to this guy. I'm still not clear on a lot of things here. It's basically step 1. If I accept that I'm able to follow steps 2-3. Can you point me to some sources where I can read up on step 1. I can see how the addition of $phi$ has made $mathscr{G_n}$ $cap$-stable but I don't know anything about $L^1$ spaces or why this result (i.e. step 1) holds.
$endgroup$
– Srinivas Eswar
Aug 28 '15 at 18:36














$begingroup$
@SrinivasEswar What $phi$ are you talking about? Do you know the result for $mathcal{G} := mathcal{F}$? In this case, it is a standard characterization of cond. expectations which you can find in any textbook on this topic.
$endgroup$
– saz
Aug 28 '15 at 22:15






$begingroup$
@SrinivasEswar What $phi$ are you talking about? Do you know the result for $mathcal{G} := mathcal{F}$? In this case, it is a standard characterization of cond. expectations which you can find in any textbook on this topic.
$endgroup$
– saz
Aug 28 '15 at 22:15














$begingroup$
I was referring to the null set. Thanks for the help.
$endgroup$
– Srinivas Eswar
Aug 28 '15 at 23:45




$begingroup$
I was referring to the null set. Thanks for the help.
$endgroup$
– Srinivas Eswar
Aug 28 '15 at 23:45


















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