Convergence of expectation of hitting time of a symmetric random walk
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Let ${X_{n}: ngeq1}$ be i.i.d random variables with the common distribution $mathbb{P}(X_n=1)=p$ and $mathbb{P}(X_n=-1)=q=1-p$ where $0<p<1$. Define $S_0:=0$ and $S_n = sum_{j=1}^{n} X_j$ for $ngeq 1$. Then ${S_n:ngeq0}$ is a $(p-q)random;walk$ on $mathbb{Z}$ (When $p=q=frac{1}{2};,;{S_n:ngeq0};is;a;symmetric;random;walk$). Given two positive integers a and b, consider
$$tau:=inf{ngeq1:S_n=-a;or;S_n=b}$$
I want to show that $mathbb{E}[tau]<infty$.
What I know and I can use is that
Given a filtered space $left(S, mathcal{Sigma}, {mathcal{Sigma_n: nge 0}}, mathbb{P}right)$, and a stopping time $tau: S to {0, 1,2, ldots}$ with respect to ${mathcal{Sigma_n: nge 0}}$, suppose that there exist $minmathbb{N}$ and $epsilon$ such that, for every $nge 0$:
$$mathbb{E}left[mathbb{I}_{tau le n+m} | mathcal{Sigma_n}right] > epsilon quad text{a.s.}.$$
then $mathbb{E}[tau]<infty$.
And I also know that it's sufficient to show that there exist $minmathbb{N}$ and $epsilon$ such that, for every $nge 1$ and every $A={S_1=a_1,cdots , S_n=a_n}$ where $a_j in mathbb{Z}$ for $1leq j leq n$:
$$mathbb{P}(A cap{tauleq n+m})geq epsilon mathbb{P}(A)$$.
I'm trying to build a link between these two. Any hint is appreciated.
probability-theory random-walk stopping-times expected-value
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add a comment |
$begingroup$
Let ${X_{n}: ngeq1}$ be i.i.d random variables with the common distribution $mathbb{P}(X_n=1)=p$ and $mathbb{P}(X_n=-1)=q=1-p$ where $0<p<1$. Define $S_0:=0$ and $S_n = sum_{j=1}^{n} X_j$ for $ngeq 1$. Then ${S_n:ngeq0}$ is a $(p-q)random;walk$ on $mathbb{Z}$ (When $p=q=frac{1}{2};,;{S_n:ngeq0};is;a;symmetric;random;walk$). Given two positive integers a and b, consider
$$tau:=inf{ngeq1:S_n=-a;or;S_n=b}$$
I want to show that $mathbb{E}[tau]<infty$.
What I know and I can use is that
Given a filtered space $left(S, mathcal{Sigma}, {mathcal{Sigma_n: nge 0}}, mathbb{P}right)$, and a stopping time $tau: S to {0, 1,2, ldots}$ with respect to ${mathcal{Sigma_n: nge 0}}$, suppose that there exist $minmathbb{N}$ and $epsilon$ such that, for every $nge 0$:
$$mathbb{E}left[mathbb{I}_{tau le n+m} | mathcal{Sigma_n}right] > epsilon quad text{a.s.}.$$
then $mathbb{E}[tau]<infty$.
And I also know that it's sufficient to show that there exist $minmathbb{N}$ and $epsilon$ such that, for every $nge 1$ and every $A={S_1=a_1,cdots , S_n=a_n}$ where $a_j in mathbb{Z}$ for $1leq j leq n$:
$$mathbb{P}(A cap{tauleq n+m})geq epsilon mathbb{P}(A)$$.
I'm trying to build a link between these two. Any hint is appreciated.
probability-theory random-walk stopping-times expected-value
$endgroup$
$begingroup$
What's wrong about using martingale techniques? It's much easier... moreover, it is very likely that you are not the first to ask this question, so you might want to use the search
$endgroup$
– saz
Dec 3 '18 at 21:25
add a comment |
$begingroup$
Let ${X_{n}: ngeq1}$ be i.i.d random variables with the common distribution $mathbb{P}(X_n=1)=p$ and $mathbb{P}(X_n=-1)=q=1-p$ where $0<p<1$. Define $S_0:=0$ and $S_n = sum_{j=1}^{n} X_j$ for $ngeq 1$. Then ${S_n:ngeq0}$ is a $(p-q)random;walk$ on $mathbb{Z}$ (When $p=q=frac{1}{2};,;{S_n:ngeq0};is;a;symmetric;random;walk$). Given two positive integers a and b, consider
$$tau:=inf{ngeq1:S_n=-a;or;S_n=b}$$
I want to show that $mathbb{E}[tau]<infty$.
What I know and I can use is that
Given a filtered space $left(S, mathcal{Sigma}, {mathcal{Sigma_n: nge 0}}, mathbb{P}right)$, and a stopping time $tau: S to {0, 1,2, ldots}$ with respect to ${mathcal{Sigma_n: nge 0}}$, suppose that there exist $minmathbb{N}$ and $epsilon$ such that, for every $nge 0$:
$$mathbb{E}left[mathbb{I}_{tau le n+m} | mathcal{Sigma_n}right] > epsilon quad text{a.s.}.$$
then $mathbb{E}[tau]<infty$.
And I also know that it's sufficient to show that there exist $minmathbb{N}$ and $epsilon$ such that, for every $nge 1$ and every $A={S_1=a_1,cdots , S_n=a_n}$ where $a_j in mathbb{Z}$ for $1leq j leq n$:
$$mathbb{P}(A cap{tauleq n+m})geq epsilon mathbb{P}(A)$$.
I'm trying to build a link between these two. Any hint is appreciated.
probability-theory random-walk stopping-times expected-value
$endgroup$
Let ${X_{n}: ngeq1}$ be i.i.d random variables with the common distribution $mathbb{P}(X_n=1)=p$ and $mathbb{P}(X_n=-1)=q=1-p$ where $0<p<1$. Define $S_0:=0$ and $S_n = sum_{j=1}^{n} X_j$ for $ngeq 1$. Then ${S_n:ngeq0}$ is a $(p-q)random;walk$ on $mathbb{Z}$ (When $p=q=frac{1}{2};,;{S_n:ngeq0};is;a;symmetric;random;walk$). Given two positive integers a and b, consider
$$tau:=inf{ngeq1:S_n=-a;or;S_n=b}$$
I want to show that $mathbb{E}[tau]<infty$.
What I know and I can use is that
Given a filtered space $left(S, mathcal{Sigma}, {mathcal{Sigma_n: nge 0}}, mathbb{P}right)$, and a stopping time $tau: S to {0, 1,2, ldots}$ with respect to ${mathcal{Sigma_n: nge 0}}$, suppose that there exist $minmathbb{N}$ and $epsilon$ such that, for every $nge 0$:
$$mathbb{E}left[mathbb{I}_{tau le n+m} | mathcal{Sigma_n}right] > epsilon quad text{a.s.}.$$
then $mathbb{E}[tau]<infty$.
And I also know that it's sufficient to show that there exist $minmathbb{N}$ and $epsilon$ such that, for every $nge 1$ and every $A={S_1=a_1,cdots , S_n=a_n}$ where $a_j in mathbb{Z}$ for $1leq j leq n$:
$$mathbb{P}(A cap{tauleq n+m})geq epsilon mathbb{P}(A)$$.
I'm trying to build a link between these two. Any hint is appreciated.
probability-theory random-walk stopping-times expected-value
probability-theory random-walk stopping-times expected-value
asked Dec 3 '18 at 21:14
Weak NullstellensatzWeak Nullstellensatz
213
213
$begingroup$
What's wrong about using martingale techniques? It's much easier... moreover, it is very likely that you are not the first to ask this question, so you might want to use the search
$endgroup$
– saz
Dec 3 '18 at 21:25
add a comment |
$begingroup$
What's wrong about using martingale techniques? It's much easier... moreover, it is very likely that you are not the first to ask this question, so you might want to use the search
$endgroup$
– saz
Dec 3 '18 at 21:25
$begingroup$
What's wrong about using martingale techniques? It's much easier... moreover, it is very likely that you are not the first to ask this question, so you might want to use the search
$endgroup$
– saz
Dec 3 '18 at 21:25
$begingroup$
What's wrong about using martingale techniques? It's much easier... moreover, it is very likely that you are not the first to ask this question, so you might want to use the search
$endgroup$
– saz
Dec 3 '18 at 21:25
add a comment |
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$begingroup$
What's wrong about using martingale techniques? It's much easier... moreover, it is very likely that you are not the first to ask this question, so you might want to use the search
$endgroup$
– saz
Dec 3 '18 at 21:25