Computing expected minimum of stopping time and n with simple random walk The 2019 Stack Overflow Developer Survey Results Are In Announcing the arrival of Valued Associate #679: Cesar Manara Planned maintenance scheduled April 17/18, 2019 at 00:00UTC (8:00pm US/Eastern)Stopping time and random walk: Proof that Stopping time of reaching a certain value is finite a.s.Simple symmetric random walk - is my assumption correct?Using martingale convergence to show that modified random walk exits interval in finite time almost surelySimple Random Walk: Use Martingale to Find $E[tau S_tau]$Almost surely finite stopping time for a random walkProving that expectation of stopping time of a random walk is finiteA probability concerning the maximum and minimum of a simple random walkProof that a r.v. with a particular random walk is a martingaleCrossing time(meeting time) of a gaussain random walkFirst exit time of a simple random walk
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Computing expected minimum of stopping time and n with simple random walk
The 2019 Stack Overflow Developer Survey Results Are In
Announcing the arrival of Valued Associate #679: Cesar Manara
Planned maintenance scheduled April 17/18, 2019 at 00:00UTC (8:00pm US/Eastern)Stopping time and random walk: Proof that Stopping time of reaching a certain value is finite a.s.Simple symmetric random walk - is my assumption correct?Using martingale convergence to show that modified random walk exits interval in finite time almost surelySimple Random Walk: Use Martingale to Find $E[tau S_tau]$Almost surely finite stopping time for a random walkProving that expectation of stopping time of a random walk is finiteA probability concerning the maximum and minimum of a simple random walkProof that a r.v. with a particular random walk is a martingaleCrossing time(meeting time) of a gaussain random walkFirst exit time of a simple random walk
$begingroup$
Let $(S_n)$ be an elementary random walk, ie. $S_n = sum_i=1^n X_i$ where $P(X_i = 1) = P(X_i = -1) = frac12$.
Let $T = inf n : S_n in -2,2$. $T$ is clearly a stopping time and is almost surely finite. We use the notation $T land n$ to mean $minT,n$.
I need to prove that $E(T land n) = 4P(T leq n) + K$, where $K$ is an error term that is bounded by $P(T > n)$.
I've tried the following so far:
$$
E[T land n] = E[T mathbb1_T leq n + n mathbb1_T > n]
= E[T mathbb1_T leq n] + nP(T > n)
$$
But I can't work out how to proceed. The second term on the RHS is $nP(T>n)$ which is not bounded by $P(T > n)$, and I can't see where the factor of $4$ could come from.
probability probability-theory martingales random-walk
$endgroup$
add a comment |
$begingroup$
Let $(S_n)$ be an elementary random walk, ie. $S_n = sum_i=1^n X_i$ where $P(X_i = 1) = P(X_i = -1) = frac12$.
Let $T = inf n : S_n in -2,2$. $T$ is clearly a stopping time and is almost surely finite. We use the notation $T land n$ to mean $minT,n$.
I need to prove that $E(T land n) = 4P(T leq n) + K$, where $K$ is an error term that is bounded by $P(T > n)$.
I've tried the following so far:
$$
E[T land n] = E[T mathbb1_T leq n + n mathbb1_T > n]
= E[T mathbb1_T leq n] + nP(T > n)
$$
But I can't work out how to proceed. The second term on the RHS is $nP(T>n)$ which is not bounded by $P(T > n)$, and I can't see where the factor of $4$ could come from.
probability probability-theory martingales random-walk
$endgroup$
add a comment |
$begingroup$
Let $(S_n)$ be an elementary random walk, ie. $S_n = sum_i=1^n X_i$ where $P(X_i = 1) = P(X_i = -1) = frac12$.
Let $T = inf n : S_n in -2,2$. $T$ is clearly a stopping time and is almost surely finite. We use the notation $T land n$ to mean $minT,n$.
I need to prove that $E(T land n) = 4P(T leq n) + K$, where $K$ is an error term that is bounded by $P(T > n)$.
I've tried the following so far:
$$
E[T land n] = E[T mathbb1_T leq n + n mathbb1_T > n]
= E[T mathbb1_T leq n] + nP(T > n)
$$
But I can't work out how to proceed. The second term on the RHS is $nP(T>n)$ which is not bounded by $P(T > n)$, and I can't see where the factor of $4$ could come from.
probability probability-theory martingales random-walk
$endgroup$
Let $(S_n)$ be an elementary random walk, ie. $S_n = sum_i=1^n X_i$ where $P(X_i = 1) = P(X_i = -1) = frac12$.
Let $T = inf n : S_n in -2,2$. $T$ is clearly a stopping time and is almost surely finite. We use the notation $T land n$ to mean $minT,n$.
I need to prove that $E(T land n) = 4P(T leq n) + K$, where $K$ is an error term that is bounded by $P(T > n)$.
I've tried the following so far:
$$
E[T land n] = E[T mathbb1_T leq n + n mathbb1_T > n]
= E[T mathbb1_T leq n] + nP(T > n)
$$
But I can't work out how to proceed. The second term on the RHS is $nP(T>n)$ which is not bounded by $P(T > n)$, and I can't see where the factor of $4$ could come from.
probability probability-theory martingales random-walk
probability probability-theory martingales random-walk
edited Mar 31 at 14:31
D G
asked Mar 31 at 13:37
D GD G
1629
1629
add a comment |
add a comment |
1 Answer
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$begingroup$
The key was to consider the Martingale $M_n = S_n^2 - n$. Applying the optional stopping theorem to the stopped Martingale $M_n land T$ gives that
$$0 = EM_0 = EM_T land n = ES_T land n - E[T land n]$$
and solving $ES_T land n$ by considering cases.
$endgroup$
add a comment |
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1 Answer
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1 Answer
1
active
oldest
votes
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oldest
votes
active
oldest
votes
$begingroup$
The key was to consider the Martingale $M_n = S_n^2 - n$. Applying the optional stopping theorem to the stopped Martingale $M_n land T$ gives that
$$0 = EM_0 = EM_T land n = ES_T land n - E[T land n]$$
and solving $ES_T land n$ by considering cases.
$endgroup$
add a comment |
$begingroup$
The key was to consider the Martingale $M_n = S_n^2 - n$. Applying the optional stopping theorem to the stopped Martingale $M_n land T$ gives that
$$0 = EM_0 = EM_T land n = ES_T land n - E[T land n]$$
and solving $ES_T land n$ by considering cases.
$endgroup$
add a comment |
$begingroup$
The key was to consider the Martingale $M_n = S_n^2 - n$. Applying the optional stopping theorem to the stopped Martingale $M_n land T$ gives that
$$0 = EM_0 = EM_T land n = ES_T land n - E[T land n]$$
and solving $ES_T land n$ by considering cases.
$endgroup$
The key was to consider the Martingale $M_n = S_n^2 - n$. Applying the optional stopping theorem to the stopped Martingale $M_n land T$ gives that
$$0 = EM_0 = EM_T land n = ES_T land n - E[T land n]$$
and solving $ES_T land n$ by considering cases.
answered Mar 31 at 14:50
D GD G
1629
1629
add a comment |
add a comment |
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