Reversal of Brownian motion from first hitting time
$begingroup$
Let $(B_t)_{t ge 0}$ be a (standard) Brownian motion, and for fixed $C>0$ define the first hitting time
$$T_C := inf {t ge 0: B_t = C}.$$
I am interested in the reversal of the Brownian motion from the first hitting time $T_C$, i.e. a description of the distribution of the path
$$(B_{T_C - s} - C)_{s le T_C}.$$
My question is whether this has the same law as
$$(widetilde{B}_s)_{s le S_{-C}}$$
where $(widetilde{B}_s)_{s ge 0}$ is a Brownian motion conditioned to stay non-positive, and $S_{-C}$ is the last time that the process $(B_s)$ hits $-C$.
My guess above comes from the analogous problem for Brownian motion with negative drift. I was told that the following is true (I would appreciate a reference for that):
Fix $m > 0$ and $C > 0$ as before. Let $T_C$ (resp. $S_{-C}$) be the first hitting time of $C$ (resp. last hittimg time of $-C$) of the Brownian motion with negative drift $(B_s -ms)_{s ge 0}$. Then
$$(B_{T_C - s} + m(T_C - s) - C)_{s le T_C} overset{d}{=} (widetilde{B}_s - ms)_{s le S_{-C}}$$
where $(widetilde{B}_s - ms)_{s ge 0}$ is a Brownian motion with drift $-m$ conditioned to stay non-positive.
As a heuristic I can send $m to 0$ and that would recover my claim above, but this does not constitute a mathematical proof. It would be great if someone could tell me that my claim is correct and point me to references where a proof can be easily found.
probability-theory stochastic-processes brownian-motion stopping-times
$endgroup$
add a comment |
$begingroup$
Let $(B_t)_{t ge 0}$ be a (standard) Brownian motion, and for fixed $C>0$ define the first hitting time
$$T_C := inf {t ge 0: B_t = C}.$$
I am interested in the reversal of the Brownian motion from the first hitting time $T_C$, i.e. a description of the distribution of the path
$$(B_{T_C - s} - C)_{s le T_C}.$$
My question is whether this has the same law as
$$(widetilde{B}_s)_{s le S_{-C}}$$
where $(widetilde{B}_s)_{s ge 0}$ is a Brownian motion conditioned to stay non-positive, and $S_{-C}$ is the last time that the process $(B_s)$ hits $-C$.
My guess above comes from the analogous problem for Brownian motion with negative drift. I was told that the following is true (I would appreciate a reference for that):
Fix $m > 0$ and $C > 0$ as before. Let $T_C$ (resp. $S_{-C}$) be the first hitting time of $C$ (resp. last hittimg time of $-C$) of the Brownian motion with negative drift $(B_s -ms)_{s ge 0}$. Then
$$(B_{T_C - s} + m(T_C - s) - C)_{s le T_C} overset{d}{=} (widetilde{B}_s - ms)_{s le S_{-C}}$$
where $(widetilde{B}_s - ms)_{s ge 0}$ is a Brownian motion with drift $-m$ conditioned to stay non-positive.
As a heuristic I can send $m to 0$ and that would recover my claim above, but this does not constitute a mathematical proof. It would be great if someone could tell me that my claim is correct and point me to references where a proof can be easily found.
probability-theory stochastic-processes brownian-motion stopping-times
$endgroup$
add a comment |
$begingroup$
Let $(B_t)_{t ge 0}$ be a (standard) Brownian motion, and for fixed $C>0$ define the first hitting time
$$T_C := inf {t ge 0: B_t = C}.$$
I am interested in the reversal of the Brownian motion from the first hitting time $T_C$, i.e. a description of the distribution of the path
$$(B_{T_C - s} - C)_{s le T_C}.$$
My question is whether this has the same law as
$$(widetilde{B}_s)_{s le S_{-C}}$$
where $(widetilde{B}_s)_{s ge 0}$ is a Brownian motion conditioned to stay non-positive, and $S_{-C}$ is the last time that the process $(B_s)$ hits $-C$.
My guess above comes from the analogous problem for Brownian motion with negative drift. I was told that the following is true (I would appreciate a reference for that):
Fix $m > 0$ and $C > 0$ as before. Let $T_C$ (resp. $S_{-C}$) be the first hitting time of $C$ (resp. last hittimg time of $-C$) of the Brownian motion with negative drift $(B_s -ms)_{s ge 0}$. Then
$$(B_{T_C - s} + m(T_C - s) - C)_{s le T_C} overset{d}{=} (widetilde{B}_s - ms)_{s le S_{-C}}$$
where $(widetilde{B}_s - ms)_{s ge 0}$ is a Brownian motion with drift $-m$ conditioned to stay non-positive.
As a heuristic I can send $m to 0$ and that would recover my claim above, but this does not constitute a mathematical proof. It would be great if someone could tell me that my claim is correct and point me to references where a proof can be easily found.
probability-theory stochastic-processes brownian-motion stopping-times
$endgroup$
Let $(B_t)_{t ge 0}$ be a (standard) Brownian motion, and for fixed $C>0$ define the first hitting time
$$T_C := inf {t ge 0: B_t = C}.$$
I am interested in the reversal of the Brownian motion from the first hitting time $T_C$, i.e. a description of the distribution of the path
$$(B_{T_C - s} - C)_{s le T_C}.$$
My question is whether this has the same law as
$$(widetilde{B}_s)_{s le S_{-C}}$$
where $(widetilde{B}_s)_{s ge 0}$ is a Brownian motion conditioned to stay non-positive, and $S_{-C}$ is the last time that the process $(B_s)$ hits $-C$.
My guess above comes from the analogous problem for Brownian motion with negative drift. I was told that the following is true (I would appreciate a reference for that):
Fix $m > 0$ and $C > 0$ as before. Let $T_C$ (resp. $S_{-C}$) be the first hitting time of $C$ (resp. last hittimg time of $-C$) of the Brownian motion with negative drift $(B_s -ms)_{s ge 0}$. Then
$$(B_{T_C - s} + m(T_C - s) - C)_{s le T_C} overset{d}{=} (widetilde{B}_s - ms)_{s le S_{-C}}$$
where $(widetilde{B}_s - ms)_{s ge 0}$ is a Brownian motion with drift $-m$ conditioned to stay non-positive.
As a heuristic I can send $m to 0$ and that would recover my claim above, but this does not constitute a mathematical proof. It would be great if someone could tell me that my claim is correct and point me to references where a proof can be easily found.
probability-theory stochastic-processes brownian-motion stopping-times
probability-theory stochastic-processes brownian-motion stopping-times
edited Jul 24 '18 at 14:01
random_person
asked Jul 24 '18 at 11:28
random_personrandom_person
1437
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1 Answer
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$begingroup$
The answer is positive, in the sense that $(widetilde{B}_s)_{s ge 0}$ is a $BES(3)$-process starting from $0$, and $$S_{-C} := sup {t > 0: widetilde{B}_t = -C }$$ is the last hitting time of $-C$ by the Bessel process. This is a classical result due to Williams, probably proved in his paper on path decomposition on diffusion, and can also be found in the book by Revuz-Yor.
$endgroup$
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1 Answer
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active
oldest
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1 Answer
1
active
oldest
votes
active
oldest
votes
active
oldest
votes
$begingroup$
The answer is positive, in the sense that $(widetilde{B}_s)_{s ge 0}$ is a $BES(3)$-process starting from $0$, and $$S_{-C} := sup {t > 0: widetilde{B}_t = -C }$$ is the last hitting time of $-C$ by the Bessel process. This is a classical result due to Williams, probably proved in his paper on path decomposition on diffusion, and can also be found in the book by Revuz-Yor.
$endgroup$
add a comment |
$begingroup$
The answer is positive, in the sense that $(widetilde{B}_s)_{s ge 0}$ is a $BES(3)$-process starting from $0$, and $$S_{-C} := sup {t > 0: widetilde{B}_t = -C }$$ is the last hitting time of $-C$ by the Bessel process. This is a classical result due to Williams, probably proved in his paper on path decomposition on diffusion, and can also be found in the book by Revuz-Yor.
$endgroup$
add a comment |
$begingroup$
The answer is positive, in the sense that $(widetilde{B}_s)_{s ge 0}$ is a $BES(3)$-process starting from $0$, and $$S_{-C} := sup {t > 0: widetilde{B}_t = -C }$$ is the last hitting time of $-C$ by the Bessel process. This is a classical result due to Williams, probably proved in his paper on path decomposition on diffusion, and can also be found in the book by Revuz-Yor.
$endgroup$
The answer is positive, in the sense that $(widetilde{B}_s)_{s ge 0}$ is a $BES(3)$-process starting from $0$, and $$S_{-C} := sup {t > 0: widetilde{B}_t = -C }$$ is the last hitting time of $-C$ by the Bessel process. This is a classical result due to Williams, probably proved in his paper on path decomposition on diffusion, and can also be found in the book by Revuz-Yor.
answered Jan 11 at 10:44
random_personrandom_person
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