Equivalence of the condition that the supremum of i.i.d. RVs are finite a.s.
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I am proving the following :
Suppose ${X_n : ninmathbb{N}}$ are i.i.d. random variables. Then $P(sup_{ninmathbb{N}}X_n < infty) = 1$ if and only if $ sum_{ninmathbb{N}}{P(X_n > M)} < infty$ for some $M>0.$
I guess by the form of the problem, that Borel-Canteli lemma will be used at some point, but I could not thought of a good way to connect it to the problem.
Any idea or hint will be really helpful. Thanks.
(edit)
Assume $sum_{ninmathbb{N}}{P(X_n > M)} < infty.$ In fact, as they are i.i.d., $P(X_n > M) = P(X_1>M)$ for all $n.$ Thus $P(X_1>M) = 0$ and $P(sup_{ninmathbb{N}}X_n > M) le sum_{ninmathbb{N}}{P(X_n > M)} = 0.$
Conversely, I've realized that ${sup_{ninmathbb{N}}{X_n} < infty} = bigcup_{m=1}^{infty}bigcap_{n=1}^{infty}{X_n le m}.$
probability-theory measure-theory random-variables independence borel-cantelli-lemmas
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add a comment |
$begingroup$
I am proving the following :
Suppose ${X_n : ninmathbb{N}}$ are i.i.d. random variables. Then $P(sup_{ninmathbb{N}}X_n < infty) = 1$ if and only if $ sum_{ninmathbb{N}}{P(X_n > M)} < infty$ for some $M>0.$
I guess by the form of the problem, that Borel-Canteli lemma will be used at some point, but I could not thought of a good way to connect it to the problem.
Any idea or hint will be really helpful. Thanks.
(edit)
Assume $sum_{ninmathbb{N}}{P(X_n > M)} < infty.$ In fact, as they are i.i.d., $P(X_n > M) = P(X_1>M)$ for all $n.$ Thus $P(X_1>M) = 0$ and $P(sup_{ninmathbb{N}}X_n > M) le sum_{ninmathbb{N}}{P(X_n > M)} = 0.$
Conversely, I've realized that ${sup_{ninmathbb{N}}{X_n} < infty} = bigcup_{m=1}^{infty}bigcap_{n=1}^{infty}{X_n le m}.$
probability-theory measure-theory random-variables independence borel-cantelli-lemmas
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1
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Are you sure the random variables $(X_n)$ are supposed to be i.i.d., or only independent?
$endgroup$
– Did
Dec 10 '18 at 15:20
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I am 100 % sure that they are supposed to be i.i.d., as it was exam problem.
$endgroup$
– Euduardo
Dec 10 '18 at 15:22
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Well then the exam is slightly absurd, but why not.
$endgroup$
– Did
Dec 10 '18 at 15:23
$begingroup$
You're right Did. Now I understand independence is enough, thanks!
$endgroup$
– Euduardo
Dec 11 '18 at 5:09
add a comment |
$begingroup$
I am proving the following :
Suppose ${X_n : ninmathbb{N}}$ are i.i.d. random variables. Then $P(sup_{ninmathbb{N}}X_n < infty) = 1$ if and only if $ sum_{ninmathbb{N}}{P(X_n > M)} < infty$ for some $M>0.$
I guess by the form of the problem, that Borel-Canteli lemma will be used at some point, but I could not thought of a good way to connect it to the problem.
Any idea or hint will be really helpful. Thanks.
(edit)
Assume $sum_{ninmathbb{N}}{P(X_n > M)} < infty.$ In fact, as they are i.i.d., $P(X_n > M) = P(X_1>M)$ for all $n.$ Thus $P(X_1>M) = 0$ and $P(sup_{ninmathbb{N}}X_n > M) le sum_{ninmathbb{N}}{P(X_n > M)} = 0.$
Conversely, I've realized that ${sup_{ninmathbb{N}}{X_n} < infty} = bigcup_{m=1}^{infty}bigcap_{n=1}^{infty}{X_n le m}.$
probability-theory measure-theory random-variables independence borel-cantelli-lemmas
$endgroup$
I am proving the following :
Suppose ${X_n : ninmathbb{N}}$ are i.i.d. random variables. Then $P(sup_{ninmathbb{N}}X_n < infty) = 1$ if and only if $ sum_{ninmathbb{N}}{P(X_n > M)} < infty$ for some $M>0.$
I guess by the form of the problem, that Borel-Canteli lemma will be used at some point, but I could not thought of a good way to connect it to the problem.
Any idea or hint will be really helpful. Thanks.
(edit)
Assume $sum_{ninmathbb{N}}{P(X_n > M)} < infty.$ In fact, as they are i.i.d., $P(X_n > M) = P(X_1>M)$ for all $n.$ Thus $P(X_1>M) = 0$ and $P(sup_{ninmathbb{N}}X_n > M) le sum_{ninmathbb{N}}{P(X_n > M)} = 0.$
Conversely, I've realized that ${sup_{ninmathbb{N}}{X_n} < infty} = bigcup_{m=1}^{infty}bigcap_{n=1}^{infty}{X_n le m}.$
probability-theory measure-theory random-variables independence borel-cantelli-lemmas
probability-theory measure-theory random-variables independence borel-cantelli-lemmas
edited Dec 10 '18 at 15:10
Euduardo
asked Dec 10 '18 at 14:15
EuduardoEuduardo
1288
1288
1
$begingroup$
Are you sure the random variables $(X_n)$ are supposed to be i.i.d., or only independent?
$endgroup$
– Did
Dec 10 '18 at 15:20
$begingroup$
I am 100 % sure that they are supposed to be i.i.d., as it was exam problem.
$endgroup$
– Euduardo
Dec 10 '18 at 15:22
$begingroup$
Well then the exam is slightly absurd, but why not.
$endgroup$
– Did
Dec 10 '18 at 15:23
$begingroup$
You're right Did. Now I understand independence is enough, thanks!
$endgroup$
– Euduardo
Dec 11 '18 at 5:09
add a comment |
1
$begingroup$
Are you sure the random variables $(X_n)$ are supposed to be i.i.d., or only independent?
$endgroup$
– Did
Dec 10 '18 at 15:20
$begingroup$
I am 100 % sure that they are supposed to be i.i.d., as it was exam problem.
$endgroup$
– Euduardo
Dec 10 '18 at 15:22
$begingroup$
Well then the exam is slightly absurd, but why not.
$endgroup$
– Did
Dec 10 '18 at 15:23
$begingroup$
You're right Did. Now I understand independence is enough, thanks!
$endgroup$
– Euduardo
Dec 11 '18 at 5:09
1
1
$begingroup$
Are you sure the random variables $(X_n)$ are supposed to be i.i.d., or only independent?
$endgroup$
– Did
Dec 10 '18 at 15:20
$begingroup$
Are you sure the random variables $(X_n)$ are supposed to be i.i.d., or only independent?
$endgroup$
– Did
Dec 10 '18 at 15:20
$begingroup$
I am 100 % sure that they are supposed to be i.i.d., as it was exam problem.
$endgroup$
– Euduardo
Dec 10 '18 at 15:22
$begingroup$
I am 100 % sure that they are supposed to be i.i.d., as it was exam problem.
$endgroup$
– Euduardo
Dec 10 '18 at 15:22
$begingroup$
Well then the exam is slightly absurd, but why not.
$endgroup$
– Did
Dec 10 '18 at 15:23
$begingroup$
Well then the exam is slightly absurd, but why not.
$endgroup$
– Did
Dec 10 '18 at 15:23
$begingroup$
You're right Did. Now I understand independence is enough, thanks!
$endgroup$
– Euduardo
Dec 11 '18 at 5:09
$begingroup$
You're right Did. Now I understand independence is enough, thanks!
$endgroup$
– Euduardo
Dec 11 '18 at 5:09
add a comment |
1 Answer
1
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Suppose $P(sup_n X_n < infty) = 1$. Since ${sup_n X_n < infty} = bigcup_{M=1}^infty {sup_n X_n le M}$, we have $lim_{M to infty} P(sup_n X_n le M) = 1$.
But if $P(X_i > M) > 0$, $P(sup_n X_n > M) = 1$. So for some $M$ we must have $P(X_i > M) = 0$.
Conversely, if $P(sup_n X_n < infty) < 1$, then for all $M$ we have $P(sup_n X_n > M) > 0$,
and $P(X_i > M) > 0$.
$endgroup$
$begingroup$
How do you go from $P[X_i >M] >0$ to $P[sup_n X_n >M] = 1$?
$endgroup$
– copper.hat
Dec 10 '18 at 17:07
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Second Borel-Cantelli lemma.
$endgroup$
– Robert Israel
Dec 10 '18 at 18:21
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Using the fact that $X_n$ are iid, I see. Thanks.
$endgroup$
– copper.hat
Dec 10 '18 at 18:23
add a comment |
Your Answer
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1 Answer
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$begingroup$
Suppose $P(sup_n X_n < infty) = 1$. Since ${sup_n X_n < infty} = bigcup_{M=1}^infty {sup_n X_n le M}$, we have $lim_{M to infty} P(sup_n X_n le M) = 1$.
But if $P(X_i > M) > 0$, $P(sup_n X_n > M) = 1$. So for some $M$ we must have $P(X_i > M) = 0$.
Conversely, if $P(sup_n X_n < infty) < 1$, then for all $M$ we have $P(sup_n X_n > M) > 0$,
and $P(X_i > M) > 0$.
$endgroup$
$begingroup$
How do you go from $P[X_i >M] >0$ to $P[sup_n X_n >M] = 1$?
$endgroup$
– copper.hat
Dec 10 '18 at 17:07
$begingroup$
Second Borel-Cantelli lemma.
$endgroup$
– Robert Israel
Dec 10 '18 at 18:21
$begingroup$
Using the fact that $X_n$ are iid, I see. Thanks.
$endgroup$
– copper.hat
Dec 10 '18 at 18:23
add a comment |
$begingroup$
Suppose $P(sup_n X_n < infty) = 1$. Since ${sup_n X_n < infty} = bigcup_{M=1}^infty {sup_n X_n le M}$, we have $lim_{M to infty} P(sup_n X_n le M) = 1$.
But if $P(X_i > M) > 0$, $P(sup_n X_n > M) = 1$. So for some $M$ we must have $P(X_i > M) = 0$.
Conversely, if $P(sup_n X_n < infty) < 1$, then for all $M$ we have $P(sup_n X_n > M) > 0$,
and $P(X_i > M) > 0$.
$endgroup$
$begingroup$
How do you go from $P[X_i >M] >0$ to $P[sup_n X_n >M] = 1$?
$endgroup$
– copper.hat
Dec 10 '18 at 17:07
$begingroup$
Second Borel-Cantelli lemma.
$endgroup$
– Robert Israel
Dec 10 '18 at 18:21
$begingroup$
Using the fact that $X_n$ are iid, I see. Thanks.
$endgroup$
– copper.hat
Dec 10 '18 at 18:23
add a comment |
$begingroup$
Suppose $P(sup_n X_n < infty) = 1$. Since ${sup_n X_n < infty} = bigcup_{M=1}^infty {sup_n X_n le M}$, we have $lim_{M to infty} P(sup_n X_n le M) = 1$.
But if $P(X_i > M) > 0$, $P(sup_n X_n > M) = 1$. So for some $M$ we must have $P(X_i > M) = 0$.
Conversely, if $P(sup_n X_n < infty) < 1$, then for all $M$ we have $P(sup_n X_n > M) > 0$,
and $P(X_i > M) > 0$.
$endgroup$
Suppose $P(sup_n X_n < infty) = 1$. Since ${sup_n X_n < infty} = bigcup_{M=1}^infty {sup_n X_n le M}$, we have $lim_{M to infty} P(sup_n X_n le M) = 1$.
But if $P(X_i > M) > 0$, $P(sup_n X_n > M) = 1$. So for some $M$ we must have $P(X_i > M) = 0$.
Conversely, if $P(sup_n X_n < infty) < 1$, then for all $M$ we have $P(sup_n X_n > M) > 0$,
and $P(X_i > M) > 0$.
answered Dec 10 '18 at 15:11
Robert IsraelRobert Israel
322k23212465
322k23212465
$begingroup$
How do you go from $P[X_i >M] >0$ to $P[sup_n X_n >M] = 1$?
$endgroup$
– copper.hat
Dec 10 '18 at 17:07
$begingroup$
Second Borel-Cantelli lemma.
$endgroup$
– Robert Israel
Dec 10 '18 at 18:21
$begingroup$
Using the fact that $X_n$ are iid, I see. Thanks.
$endgroup$
– copper.hat
Dec 10 '18 at 18:23
add a comment |
$begingroup$
How do you go from $P[X_i >M] >0$ to $P[sup_n X_n >M] = 1$?
$endgroup$
– copper.hat
Dec 10 '18 at 17:07
$begingroup$
Second Borel-Cantelli lemma.
$endgroup$
– Robert Israel
Dec 10 '18 at 18:21
$begingroup$
Using the fact that $X_n$ are iid, I see. Thanks.
$endgroup$
– copper.hat
Dec 10 '18 at 18:23
$begingroup$
How do you go from $P[X_i >M] >0$ to $P[sup_n X_n >M] = 1$?
$endgroup$
– copper.hat
Dec 10 '18 at 17:07
$begingroup$
How do you go from $P[X_i >M] >0$ to $P[sup_n X_n >M] = 1$?
$endgroup$
– copper.hat
Dec 10 '18 at 17:07
$begingroup$
Second Borel-Cantelli lemma.
$endgroup$
– Robert Israel
Dec 10 '18 at 18:21
$begingroup$
Second Borel-Cantelli lemma.
$endgroup$
– Robert Israel
Dec 10 '18 at 18:21
$begingroup$
Using the fact that $X_n$ are iid, I see. Thanks.
$endgroup$
– copper.hat
Dec 10 '18 at 18:23
$begingroup$
Using the fact that $X_n$ are iid, I see. Thanks.
$endgroup$
– copper.hat
Dec 10 '18 at 18:23
add a comment |
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$begingroup$
Are you sure the random variables $(X_n)$ are supposed to be i.i.d., or only independent?
$endgroup$
– Did
Dec 10 '18 at 15:20
$begingroup$
I am 100 % sure that they are supposed to be i.i.d., as it was exam problem.
$endgroup$
– Euduardo
Dec 10 '18 at 15:22
$begingroup$
Well then the exam is slightly absurd, but why not.
$endgroup$
– Did
Dec 10 '18 at 15:23
$begingroup$
You're right Did. Now I understand independence is enough, thanks!
$endgroup$
– Euduardo
Dec 11 '18 at 5:09