Let $X_n$ and $U_n$ be independent, with $P(X_n = 0, i.o.) = 1$ and $P(U_n = 0, i.o.)$, show that $P(X_n = 0,...
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Let $X_n$ and $U_n$ be independent, with $P(X_n = 0, i.o.) = 1$ and $P(U_n = 0, i.o.)$, show that $P(X_n = 0, U_{n+1} =0, i.o.) = 1$
Announcing the arrival of Valued Associate #679: Cesar Manara
Planned maintenance scheduled April 23, 2019 at 23:30 UTC (7:30pm US/Eastern)Identify the smallest $c$ such that $P(|X_n| ge c sqrt{ln n} text{ i.o.}) = 0$ for normally distributed $X_n$$P(X_n < a$ i.o. and $X_n > b$ i.o.$) = 0$ for all $a < b$ implies that $lim_{n rightarrow infty} X_n$ exists a.e.If $P(X_nne0 text{i.o.})=1$ then $P(c_n|X_n|>1 text{i.o.})=1$ for some suitable sequence $(c_n)$Let $X_1, X_2, ..$ be independent with $E(X_n)=0, var(X_n)={sigma_{n}}^2$.Show that if $P(|X_n|>epsilon text{ i.o.} ) =0$ for every $epsilon>0$ then $X_nto 0$ almost surelyIf $E(X_n)=0$ and $E(X_n^2)=1$ then$P(X_nge n,i.o.)=0$Show $P(|X_n| geq n i.o) = 1$ for $X_i$ iid, $X_i not in L^1$.$X_n to X$ a.s. iff $mathbb{P}(|X_n-X|>epsilon_n , , text{i.o.})=0$ for some $epsilon_n to 0$Markov chain with transiency and absorptionIf $P(X_n =0 i.o.) = 1$ and $P(X_{n+1} = 1 | X_n=0) = c > 0$ for all $n$, then $P(X_n =1 i.o.) = 1$
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Let $X_n$ and $U_n$ be independent, with $P(X_n = 0 i.o.) = 1$ and $P(U_n = 0 i.o.)$, show that $P(X_n = 0, U_{n+1} =0, i.o.) = 1$.
Does this require additional assumptions to be true?
probability probability-theory
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Let $X_n$ and $U_n$ be independent, with $P(X_n = 0 i.o.) = 1$ and $P(U_n = 0 i.o.)$, show that $P(X_n = 0, U_{n+1} =0, i.o.) = 1$.
Does this require additional assumptions to be true?
probability probability-theory
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Let $X_n$ and $U_n$ be independent, with $P(X_n = 0 i.o.) = 1$ and $P(U_n = 0 i.o.)$, show that $P(X_n = 0, U_{n+1} =0, i.o.) = 1$.
Does this require additional assumptions to be true?
probability probability-theory
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Let $X_n$ and $U_n$ be independent, with $P(X_n = 0 i.o.) = 1$ and $P(U_n = 0 i.o.)$, show that $P(X_n = 0, U_{n+1} =0, i.o.) = 1$.
Does this require additional assumptions to be true?
probability probability-theory
probability probability-theory
edited Mar 26 at 12:06
jackson5
asked Mar 26 at 11:21
jackson5jackson5
701513
701513
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1 Answer
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Answer to the question before it was modified:
Let $X_n=1$ for $n$ odd, $0$ for $n$ even and $U_n=X_n$ for all $n$. Then $X_n=0$ implies $U_{n+1} neq 0$ so the conclusion is false.
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But $U_n$ and $X_n$ are independent here, how can we have $U_n = X_n$??
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– jackson5
Mar 26 at 11:53
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All the random variables I have defined are constant random variables. Any constant random variable is independent of itself!. @jackson5
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– Kavi Rama Murthy
Mar 26 at 11:54
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Oh yes, of course! What are some minimal conditions I can put on X_n, U_n to make this true? What if U_n is Bernoulli(1/2)?
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– jackson5
Mar 26 at 11:59
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Ok, I will ask a new question
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– jackson5
Mar 26 at 12:05
add a comment |
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1 Answer
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1 Answer
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$begingroup$
Answer to the question before it was modified:
Let $X_n=1$ for $n$ odd, $0$ for $n$ even and $U_n=X_n$ for all $n$. Then $X_n=0$ implies $U_{n+1} neq 0$ so the conclusion is false.
$endgroup$
$begingroup$
But $U_n$ and $X_n$ are independent here, how can we have $U_n = X_n$??
$endgroup$
– jackson5
Mar 26 at 11:53
$begingroup$
All the random variables I have defined are constant random variables. Any constant random variable is independent of itself!. @jackson5
$endgroup$
– Kavi Rama Murthy
Mar 26 at 11:54
$begingroup$
Oh yes, of course! What are some minimal conditions I can put on X_n, U_n to make this true? What if U_n is Bernoulli(1/2)?
$endgroup$
– jackson5
Mar 26 at 11:59
$begingroup$
Ok, I will ask a new question
$endgroup$
– jackson5
Mar 26 at 12:05
add a comment |
$begingroup$
Answer to the question before it was modified:
Let $X_n=1$ for $n$ odd, $0$ for $n$ even and $U_n=X_n$ for all $n$. Then $X_n=0$ implies $U_{n+1} neq 0$ so the conclusion is false.
$endgroup$
$begingroup$
But $U_n$ and $X_n$ are independent here, how can we have $U_n = X_n$??
$endgroup$
– jackson5
Mar 26 at 11:53
$begingroup$
All the random variables I have defined are constant random variables. Any constant random variable is independent of itself!. @jackson5
$endgroup$
– Kavi Rama Murthy
Mar 26 at 11:54
$begingroup$
Oh yes, of course! What are some minimal conditions I can put on X_n, U_n to make this true? What if U_n is Bernoulli(1/2)?
$endgroup$
– jackson5
Mar 26 at 11:59
$begingroup$
Ok, I will ask a new question
$endgroup$
– jackson5
Mar 26 at 12:05
add a comment |
$begingroup$
Answer to the question before it was modified:
Let $X_n=1$ for $n$ odd, $0$ for $n$ even and $U_n=X_n$ for all $n$. Then $X_n=0$ implies $U_{n+1} neq 0$ so the conclusion is false.
$endgroup$
Answer to the question before it was modified:
Let $X_n=1$ for $n$ odd, $0$ for $n$ even and $U_n=X_n$ for all $n$. Then $X_n=0$ implies $U_{n+1} neq 0$ so the conclusion is false.
edited Mar 26 at 12:01
answered Mar 26 at 11:50
Kavi Rama MurthyKavi Rama Murthy
76.6k53471
76.6k53471
$begingroup$
But $U_n$ and $X_n$ are independent here, how can we have $U_n = X_n$??
$endgroup$
– jackson5
Mar 26 at 11:53
$begingroup$
All the random variables I have defined are constant random variables. Any constant random variable is independent of itself!. @jackson5
$endgroup$
– Kavi Rama Murthy
Mar 26 at 11:54
$begingroup$
Oh yes, of course! What are some minimal conditions I can put on X_n, U_n to make this true? What if U_n is Bernoulli(1/2)?
$endgroup$
– jackson5
Mar 26 at 11:59
$begingroup$
Ok, I will ask a new question
$endgroup$
– jackson5
Mar 26 at 12:05
add a comment |
$begingroup$
But $U_n$ and $X_n$ are independent here, how can we have $U_n = X_n$??
$endgroup$
– jackson5
Mar 26 at 11:53
$begingroup$
All the random variables I have defined are constant random variables. Any constant random variable is independent of itself!. @jackson5
$endgroup$
– Kavi Rama Murthy
Mar 26 at 11:54
$begingroup$
Oh yes, of course! What are some minimal conditions I can put on X_n, U_n to make this true? What if U_n is Bernoulli(1/2)?
$endgroup$
– jackson5
Mar 26 at 11:59
$begingroup$
Ok, I will ask a new question
$endgroup$
– jackson5
Mar 26 at 12:05
$begingroup$
But $U_n$ and $X_n$ are independent here, how can we have $U_n = X_n$??
$endgroup$
– jackson5
Mar 26 at 11:53
$begingroup$
But $U_n$ and $X_n$ are independent here, how can we have $U_n = X_n$??
$endgroup$
– jackson5
Mar 26 at 11:53
$begingroup$
All the random variables I have defined are constant random variables. Any constant random variable is independent of itself!. @jackson5
$endgroup$
– Kavi Rama Murthy
Mar 26 at 11:54
$begingroup$
All the random variables I have defined are constant random variables. Any constant random variable is independent of itself!. @jackson5
$endgroup$
– Kavi Rama Murthy
Mar 26 at 11:54
$begingroup$
Oh yes, of course! What are some minimal conditions I can put on X_n, U_n to make this true? What if U_n is Bernoulli(1/2)?
$endgroup$
– jackson5
Mar 26 at 11:59
$begingroup$
Oh yes, of course! What are some minimal conditions I can put on X_n, U_n to make this true? What if U_n is Bernoulli(1/2)?
$endgroup$
– jackson5
Mar 26 at 11:59
$begingroup$
Ok, I will ask a new question
$endgroup$
– jackson5
Mar 26 at 12:05
$begingroup$
Ok, I will ask a new question
$endgroup$
– jackson5
Mar 26 at 12:05
add a comment |
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