Finite measure of uncountably many disjoint sets implies at least one of them has measure zero?

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Given a probability space $(Omega,mathcalF, P).$ Suppose $mathcalA$is a subclass of $mathcalF$. Let $mathcalA_x,epsilon$ be the class of $mathcalA-$sets satisfying $xin A^circsubset Asubset B(x,epsilon)$ and let $partial mathcalA_x,epsilon$ be the class of their boundaries.



Claim: If $partialmathcalA_x,epsilon$ contains uncountably many disjoint sets, then at least one of them mush have $P-$ measure zero.



This is in section 2 from the book " convergence of probability measures(Billingsley)".



I think to proof this claim, we may need Borel-Cantelli lemma, but Borel-Cantelli lemma is for countably many sets.



Denote the metric on $Omega$ by $rho(x,y)$.
Since for any $AinmathcalA_x,epsilon$, $xin A^circsubset Asubset B(x,epsilon)$,
then $partial Asubset partial B(x,epsilon)subset y:rho(x,y)=epsilon$.



Therefore $cup_AinpartialmathcalA_x,epsilon Asubset y:rho(x,y)=epsilon$. Thus
$P(cup_AinpartialmathcalA_x,epsilon A) leq P(y:rho(x,y)=epsilon)<infty$
But then how can I get the conclusion?



Any help will be appreciated. Thanks







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  • Yes, but the sets in the boundary of $mathcalA_x,epsilon$ may have a chance to be disjoint
    – MathProba
    Jul 19 at 21:07










  • Well, that was written when the $partial$ was missing from the Claim.
    – user577471
    Jul 19 at 21:21














up vote
0
down vote

favorite












Given a probability space $(Omega,mathcalF, P).$ Suppose $mathcalA$is a subclass of $mathcalF$. Let $mathcalA_x,epsilon$ be the class of $mathcalA-$sets satisfying $xin A^circsubset Asubset B(x,epsilon)$ and let $partial mathcalA_x,epsilon$ be the class of their boundaries.



Claim: If $partialmathcalA_x,epsilon$ contains uncountably many disjoint sets, then at least one of them mush have $P-$ measure zero.



This is in section 2 from the book " convergence of probability measures(Billingsley)".



I think to proof this claim, we may need Borel-Cantelli lemma, but Borel-Cantelli lemma is for countably many sets.



Denote the metric on $Omega$ by $rho(x,y)$.
Since for any $AinmathcalA_x,epsilon$, $xin A^circsubset Asubset B(x,epsilon)$,
then $partial Asubset partial B(x,epsilon)subset y:rho(x,y)=epsilon$.



Therefore $cup_AinpartialmathcalA_x,epsilon Asubset y:rho(x,y)=epsilon$. Thus
$P(cup_AinpartialmathcalA_x,epsilon A) leq P(y:rho(x,y)=epsilon)<infty$
But then how can I get the conclusion?



Any help will be appreciated. Thanks







share|cite|improve this question





















  • Yes, but the sets in the boundary of $mathcalA_x,epsilon$ may have a chance to be disjoint
    – MathProba
    Jul 19 at 21:07










  • Well, that was written when the $partial$ was missing from the Claim.
    – user577471
    Jul 19 at 21:21












up vote
0
down vote

favorite









up vote
0
down vote

favorite











Given a probability space $(Omega,mathcalF, P).$ Suppose $mathcalA$is a subclass of $mathcalF$. Let $mathcalA_x,epsilon$ be the class of $mathcalA-$sets satisfying $xin A^circsubset Asubset B(x,epsilon)$ and let $partial mathcalA_x,epsilon$ be the class of their boundaries.



Claim: If $partialmathcalA_x,epsilon$ contains uncountably many disjoint sets, then at least one of them mush have $P-$ measure zero.



This is in section 2 from the book " convergence of probability measures(Billingsley)".



I think to proof this claim, we may need Borel-Cantelli lemma, but Borel-Cantelli lemma is for countably many sets.



Denote the metric on $Omega$ by $rho(x,y)$.
Since for any $AinmathcalA_x,epsilon$, $xin A^circsubset Asubset B(x,epsilon)$,
then $partial Asubset partial B(x,epsilon)subset y:rho(x,y)=epsilon$.



Therefore $cup_AinpartialmathcalA_x,epsilon Asubset y:rho(x,y)=epsilon$. Thus
$P(cup_AinpartialmathcalA_x,epsilon A) leq P(y:rho(x,y)=epsilon)<infty$
But then how can I get the conclusion?



Any help will be appreciated. Thanks







share|cite|improve this question













Given a probability space $(Omega,mathcalF, P).$ Suppose $mathcalA$is a subclass of $mathcalF$. Let $mathcalA_x,epsilon$ be the class of $mathcalA-$sets satisfying $xin A^circsubset Asubset B(x,epsilon)$ and let $partial mathcalA_x,epsilon$ be the class of their boundaries.



Claim: If $partialmathcalA_x,epsilon$ contains uncountably many disjoint sets, then at least one of them mush have $P-$ measure zero.



This is in section 2 from the book " convergence of probability measures(Billingsley)".



I think to proof this claim, we may need Borel-Cantelli lemma, but Borel-Cantelli lemma is for countably many sets.



Denote the metric on $Omega$ by $rho(x,y)$.
Since for any $AinmathcalA_x,epsilon$, $xin A^circsubset Asubset B(x,epsilon)$,
then $partial Asubset partial B(x,epsilon)subset y:rho(x,y)=epsilon$.



Therefore $cup_AinpartialmathcalA_x,epsilon Asubset y:rho(x,y)=epsilon$. Thus
$P(cup_AinpartialmathcalA_x,epsilon A) leq P(y:rho(x,y)=epsilon)<infty$
But then how can I get the conclusion?



Any help will be appreciated. Thanks









share|cite|improve this question












share|cite|improve this question




share|cite|improve this question








edited Jul 19 at 21:08









Mike Earnest

15.3k11644




15.3k11644









asked Jul 19 at 20:31









MathProba

213




213











  • Yes, but the sets in the boundary of $mathcalA_x,epsilon$ may have a chance to be disjoint
    – MathProba
    Jul 19 at 21:07










  • Well, that was written when the $partial$ was missing from the Claim.
    – user577471
    Jul 19 at 21:21
















  • Yes, but the sets in the boundary of $mathcalA_x,epsilon$ may have a chance to be disjoint
    – MathProba
    Jul 19 at 21:07










  • Well, that was written when the $partial$ was missing from the Claim.
    – user577471
    Jul 19 at 21:21















Yes, but the sets in the boundary of $mathcalA_x,epsilon$ may have a chance to be disjoint
– MathProba
Jul 19 at 21:07




Yes, but the sets in the boundary of $mathcalA_x,epsilon$ may have a chance to be disjoint
– MathProba
Jul 19 at 21:07












Well, that was written when the $partial$ was missing from the Claim.
– user577471
Jul 19 at 21:21




Well, that was written when the $partial$ was missing from the Claim.
– user577471
Jul 19 at 21:21










1 Answer
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up vote
4
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You don't need anything fancy like Borel-Cantelli. Just the axioms of measure theory. In fact, a more general result is true, in your same probability space:




For any uncountable collection $mathcal Asubset mathcal F$ of disjoint subsets of $Omega$, at most countably many elements of $mathcal A$ have nonzero measure.




Proof: For any $nin mathbb N$, let $mathcal A_n=Ain mathcal Amid P(A)>frac1n$. Note that $mathcal A_n$ has fewer than $n$ elements: if there were $n$ sets $E_1,E_2,dots,E_nin mathcal A_n$, then you would have
$$
P(E_1cup E_2cupdotscup E_n)=P(E_1)+dots+P(E_n)>frac1n+dots+frac1n=1,
$$
contradicting that $P$ is a probability measure. Now, let $mathcal A_0=Ain mathcal Amid P(A)>0$. Note that $mathcal A_0=bigcup_nge 1mathcal A_n$, so $mathcal A_0$ is a countable union of finite sets. This implies $mathcal A_0$ is countable, as claimed.






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  • This proof is so nice, thanks!
    – MathProba
    Jul 19 at 21:08










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1 Answer
1






active

oldest

votes








1 Answer
1






active

oldest

votes









active

oldest

votes






active

oldest

votes








up vote
4
down vote













You don't need anything fancy like Borel-Cantelli. Just the axioms of measure theory. In fact, a more general result is true, in your same probability space:




For any uncountable collection $mathcal Asubset mathcal F$ of disjoint subsets of $Omega$, at most countably many elements of $mathcal A$ have nonzero measure.




Proof: For any $nin mathbb N$, let $mathcal A_n=Ain mathcal Amid P(A)>frac1n$. Note that $mathcal A_n$ has fewer than $n$ elements: if there were $n$ sets $E_1,E_2,dots,E_nin mathcal A_n$, then you would have
$$
P(E_1cup E_2cupdotscup E_n)=P(E_1)+dots+P(E_n)>frac1n+dots+frac1n=1,
$$
contradicting that $P$ is a probability measure. Now, let $mathcal A_0=Ain mathcal Amid P(A)>0$. Note that $mathcal A_0=bigcup_nge 1mathcal A_n$, so $mathcal A_0$ is a countable union of finite sets. This implies $mathcal A_0$ is countable, as claimed.






share|cite|improve this answer























  • This proof is so nice, thanks!
    – MathProba
    Jul 19 at 21:08














up vote
4
down vote













You don't need anything fancy like Borel-Cantelli. Just the axioms of measure theory. In fact, a more general result is true, in your same probability space:




For any uncountable collection $mathcal Asubset mathcal F$ of disjoint subsets of $Omega$, at most countably many elements of $mathcal A$ have nonzero measure.




Proof: For any $nin mathbb N$, let $mathcal A_n=Ain mathcal Amid P(A)>frac1n$. Note that $mathcal A_n$ has fewer than $n$ elements: if there were $n$ sets $E_1,E_2,dots,E_nin mathcal A_n$, then you would have
$$
P(E_1cup E_2cupdotscup E_n)=P(E_1)+dots+P(E_n)>frac1n+dots+frac1n=1,
$$
contradicting that $P$ is a probability measure. Now, let $mathcal A_0=Ain mathcal Amid P(A)>0$. Note that $mathcal A_0=bigcup_nge 1mathcal A_n$, so $mathcal A_0$ is a countable union of finite sets. This implies $mathcal A_0$ is countable, as claimed.






share|cite|improve this answer























  • This proof is so nice, thanks!
    – MathProba
    Jul 19 at 21:08












up vote
4
down vote










up vote
4
down vote









You don't need anything fancy like Borel-Cantelli. Just the axioms of measure theory. In fact, a more general result is true, in your same probability space:




For any uncountable collection $mathcal Asubset mathcal F$ of disjoint subsets of $Omega$, at most countably many elements of $mathcal A$ have nonzero measure.




Proof: For any $nin mathbb N$, let $mathcal A_n=Ain mathcal Amid P(A)>frac1n$. Note that $mathcal A_n$ has fewer than $n$ elements: if there were $n$ sets $E_1,E_2,dots,E_nin mathcal A_n$, then you would have
$$
P(E_1cup E_2cupdotscup E_n)=P(E_1)+dots+P(E_n)>frac1n+dots+frac1n=1,
$$
contradicting that $P$ is a probability measure. Now, let $mathcal A_0=Ain mathcal Amid P(A)>0$. Note that $mathcal A_0=bigcup_nge 1mathcal A_n$, so $mathcal A_0$ is a countable union of finite sets. This implies $mathcal A_0$ is countable, as claimed.






share|cite|improve this answer















You don't need anything fancy like Borel-Cantelli. Just the axioms of measure theory. In fact, a more general result is true, in your same probability space:




For any uncountable collection $mathcal Asubset mathcal F$ of disjoint subsets of $Omega$, at most countably many elements of $mathcal A$ have nonzero measure.




Proof: For any $nin mathbb N$, let $mathcal A_n=Ain mathcal Amid P(A)>frac1n$. Note that $mathcal A_n$ has fewer than $n$ elements: if there were $n$ sets $E_1,E_2,dots,E_nin mathcal A_n$, then you would have
$$
P(E_1cup E_2cupdotscup E_n)=P(E_1)+dots+P(E_n)>frac1n+dots+frac1n=1,
$$
contradicting that $P$ is a probability measure. Now, let $mathcal A_0=Ain mathcal Amid P(A)>0$. Note that $mathcal A_0=bigcup_nge 1mathcal A_n$, so $mathcal A_0$ is a countable union of finite sets. This implies $mathcal A_0$ is countable, as claimed.







share|cite|improve this answer















share|cite|improve this answer



share|cite|improve this answer








edited Jul 19 at 21:07


























answered Jul 19 at 20:49









Mike Earnest

15.3k11644




15.3k11644











  • This proof is so nice, thanks!
    – MathProba
    Jul 19 at 21:08
















  • This proof is so nice, thanks!
    – MathProba
    Jul 19 at 21:08















This proof is so nice, thanks!
– MathProba
Jul 19 at 21:08




This proof is so nice, thanks!
– MathProba
Jul 19 at 21:08












 

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