Brownian motion question for $mathbbEleft[W_s W_t^2 right]$ and $mathbbEleft[W_s^2 W_t^2 right]$ Announcing the arrival of Valued Associate #679: Cesar Manara Planned maintenance scheduled April 23, 2019 at 00:00UTC (8:00pm US/Eastern)d-dimensional Brownian motion and martingalesBrownian Motion Conditional Expectation QuestionDetermine the distribution of $int_0^t (W_s-fracstW_t) ds$, where $(W_s)_sgeq 0$ is a brownian motionWhy is the canonical filtration of a Brownian motion left-continuous?Variance process of stochastic integral and brownian motionMarkov property for geometric Brownian motionHow do I compute $mathbbEleft[e^lambda X_t X_s^2 right]$ for $X_t= mu t + W_t$ where $(W_t)_t$ is a Brownian motionCompute the covariance of $W_t$ and $B_t=int_0^tmathrmsgn(W)dW$, for a Brownian motion $W$Prove $mathbbE[e^i lambda W_t-1] = -fraclambda^22 mathbbEleft[ int_0^te^ilambda W_sdsright]$, where $W_t$ is Brownian motion?Compute $mathbbP W_t < 0 , , textfor all , , 1 < t < 2$ for a Brownian motion $(W_t)_t geq 0$
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Brownian motion question for $mathbbEleft[W_s W_t^2 right]$ and $mathbbEleft[W_s^2 W_t^2 right]$
Announcing the arrival of Valued Associate #679: Cesar Manara
Planned maintenance scheduled April 23, 2019 at 00:00UTC (8:00pm US/Eastern)d-dimensional Brownian motion and martingalesBrownian Motion Conditional Expectation QuestionDetermine the distribution of $int_0^t (W_s-fracstW_t) ds$, where $(W_s)_sgeq 0$ is a brownian motionWhy is the canonical filtration of a Brownian motion left-continuous?Variance process of stochastic integral and brownian motionMarkov property for geometric Brownian motionHow do I compute $mathbbEleft[e^lambda X_t X_s^2 right]$ for $X_t= mu t + W_t$ where $(W_t)_t$ is a Brownian motionCompute the covariance of $W_t$ and $B_t=int_0^tmathrmsgn(W)dW$, for a Brownian motion $W$Prove $mathbbE[e^i lambda W_t-1] = -fraclambda^22 mathbbEleft[ int_0^te^ilambda W_sdsright]$, where $W_t$ is Brownian motion?Compute $mathbbP W_t < 0 , , textfor all , , 1 < t < 2$ for a Brownian motion $(W_t)_t geq 0$
$begingroup$
Let $W_t:t ge 0$ be a Brownian motion. Find for all $0 le s < t$:
- $mathbbEleft[W_s W_t right]$
- $mathbbEleft[W_s W_t^2 right]$
- $mathbbEleft[W_s^2 W_t^2 right]$
- $mathbbEleft[left. e^2W_t right| mathcalF_sright]$
Hint: Recall that the kurtosis for $Z sim mathcalN(0,1)$ is $mathbbEleft[Z^4right] = 3$.
I am confused. I think based on the theory, $mathbbEleft[W_s W_t right]$ should be $s$, and then I do not understand what I should do for $mathbbEleft[W_s W_t^2 right]$.
stochastic-processes brownian-motion expected-value
$endgroup$
add a comment |
$begingroup$
Let $W_t:t ge 0$ be a Brownian motion. Find for all $0 le s < t$:
- $mathbbEleft[W_s W_t right]$
- $mathbbEleft[W_s W_t^2 right]$
- $mathbbEleft[W_s^2 W_t^2 right]$
- $mathbbEleft[left. e^2W_t right| mathcalF_sright]$
Hint: Recall that the kurtosis for $Z sim mathcalN(0,1)$ is $mathbbEleft[Z^4right] = 3$.
I am confused. I think based on the theory, $mathbbEleft[W_s W_t right]$ should be $s$, and then I do not understand what I should do for $mathbbEleft[W_s W_t^2 right]$.
stochastic-processes brownian-motion expected-value
$endgroup$
add a comment |
$begingroup$
Let $W_t:t ge 0$ be a Brownian motion. Find for all $0 le s < t$:
- $mathbbEleft[W_s W_t right]$
- $mathbbEleft[W_s W_t^2 right]$
- $mathbbEleft[W_s^2 W_t^2 right]$
- $mathbbEleft[left. e^2W_t right| mathcalF_sright]$
Hint: Recall that the kurtosis for $Z sim mathcalN(0,1)$ is $mathbbEleft[Z^4right] = 3$.
I am confused. I think based on the theory, $mathbbEleft[W_s W_t right]$ should be $s$, and then I do not understand what I should do for $mathbbEleft[W_s W_t^2 right]$.
stochastic-processes brownian-motion expected-value
$endgroup$
Let $W_t:t ge 0$ be a Brownian motion. Find for all $0 le s < t$:
- $mathbbEleft[W_s W_t right]$
- $mathbbEleft[W_s W_t^2 right]$
- $mathbbEleft[W_s^2 W_t^2 right]$
- $mathbbEleft[left. e^2W_t right| mathcalF_sright]$
Hint: Recall that the kurtosis for $Z sim mathcalN(0,1)$ is $mathbbEleft[Z^4right] = 3$.
I am confused. I think based on the theory, $mathbbEleft[W_s W_t right]$ should be $s$, and then I do not understand what I should do for $mathbbEleft[W_s W_t^2 right]$.
stochastic-processes brownian-motion expected-value
stochastic-processes brownian-motion expected-value
edited Apr 1 at 17:43
gt6989b
36k22557
36k22557
asked Apr 1 at 17:37
leeswimleeswim
1
1
add a comment |
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1 Answer
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$begingroup$
HINT
Recall that you want to use independent increments, so
$$
mathbbE[W_s W_t]
= mathbbE[W_s (W_s + W_s,t)]
= mathbbE[W_s^2] + mathbbE[W_s W_s,t]
= s+mathbbE[W_s] mathbbE[ W_s,t]
= s,
$$
where $W_s,t$ is the process starting at $s$ and evolving until $t$.
Can you use a similar argument to solve others?
$endgroup$
add a comment |
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1 Answer
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1 Answer
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active
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$begingroup$
HINT
Recall that you want to use independent increments, so
$$
mathbbE[W_s W_t]
= mathbbE[W_s (W_s + W_s,t)]
= mathbbE[W_s^2] + mathbbE[W_s W_s,t]
= s+mathbbE[W_s] mathbbE[ W_s,t]
= s,
$$
where $W_s,t$ is the process starting at $s$ and evolving until $t$.
Can you use a similar argument to solve others?
$endgroup$
add a comment |
$begingroup$
HINT
Recall that you want to use independent increments, so
$$
mathbbE[W_s W_t]
= mathbbE[W_s (W_s + W_s,t)]
= mathbbE[W_s^2] + mathbbE[W_s W_s,t]
= s+mathbbE[W_s] mathbbE[ W_s,t]
= s,
$$
where $W_s,t$ is the process starting at $s$ and evolving until $t$.
Can you use a similar argument to solve others?
$endgroup$
add a comment |
$begingroup$
HINT
Recall that you want to use independent increments, so
$$
mathbbE[W_s W_t]
= mathbbE[W_s (W_s + W_s,t)]
= mathbbE[W_s^2] + mathbbE[W_s W_s,t]
= s+mathbbE[W_s] mathbbE[ W_s,t]
= s,
$$
where $W_s,t$ is the process starting at $s$ and evolving until $t$.
Can you use a similar argument to solve others?
$endgroup$
HINT
Recall that you want to use independent increments, so
$$
mathbbE[W_s W_t]
= mathbbE[W_s (W_s + W_s,t)]
= mathbbE[W_s^2] + mathbbE[W_s W_s,t]
= s+mathbbE[W_s] mathbbE[ W_s,t]
= s,
$$
where $W_s,t$ is the process starting at $s$ and evolving until $t$.
Can you use a similar argument to solve others?
answered Apr 1 at 17:42
gt6989bgt6989b
36k22557
36k22557
add a comment |
add a comment |
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