sojourn times in finite Markov chain
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Let $X = (X_{n})_{n geq 0}$ be a homogeneous irreducible Markov chain on the state space $E := {1,dots ,N}$, $N in mathbb{N}$, $N geq 2$ and transition probability Matrix $P$. Let $B subset E$ be a proper subset of the state space $E$. For simplicity we assume that $B = {1,2,dots,L}$, $1 leq L < N$.
We call "sojourn of $X$ in $B$" any sequence $X_{m},X_{m+1},dots,X_{m+k}$ where $k geq 1$, $X_{m},X_{m+1},dots,X_{m+k-1} in B$, $X_{m+k} notin B$ and if $m > 0$, $X_{m-1} notin B$. This sojourn begins at time $m$ and finishes at time $m+k$. It lasts $k$.
Now let $V_{n}$, $n geq 1$ be the random variable "state of $B$ in which the $n^{text{th}}$ sojourn of $X$ begins".
Maybe the answer is obvious. I want to show that $(V_{n})_{ngeq 1}$ is a homogeneous Markov chain on the state space $B$. Hope someone can help me. Thanks!
probability markov-chains
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Let $X = (X_{n})_{n geq 0}$ be a homogeneous irreducible Markov chain on the state space $E := {1,dots ,N}$, $N in mathbb{N}$, $N geq 2$ and transition probability Matrix $P$. Let $B subset E$ be a proper subset of the state space $E$. For simplicity we assume that $B = {1,2,dots,L}$, $1 leq L < N$.
We call "sojourn of $X$ in $B$" any sequence $X_{m},X_{m+1},dots,X_{m+k}$ where $k geq 1$, $X_{m},X_{m+1},dots,X_{m+k-1} in B$, $X_{m+k} notin B$ and if $m > 0$, $X_{m-1} notin B$. This sojourn begins at time $m$ and finishes at time $m+k$. It lasts $k$.
Now let $V_{n}$, $n geq 1$ be the random variable "state of $B$ in which the $n^{text{th}}$ sojourn of $X$ begins".
Maybe the answer is obvious. I want to show that $(V_{n})_{ngeq 1}$ is a homogeneous Markov chain on the state space $B$. Hope someone can help me. Thanks!
probability markov-chains
It is due to the memorylessness of the Markov chain $X_n$. You can formally prove the memorylessness property of $V_n$ by introducing all possible sequences of states between $V_n$ and $V_{n+1}$
– Arnaud Mégret
Nov 17 at 16:37
can you please write it down formally
– wayne
Nov 17 at 16:43
@ArnaudMégret - i agree that this should be "obvious" from the memoryless property, but i also have trouble writing it down formally. also, the OP includes $X$ being irreducible, but my gut feel is that $X$ being irreducible would lead to $V$ being irreducible, but $X$ being not irreducible would still lead to $V$ being a M.C. (albeit also not irreducible). am i missing something subtle here?
– antkam
Nov 17 at 19:58
@antkam I think you are right concerning the irreductible property. I think it is a sufficient condition for an unlimited number of sojourns to be sure to happen.
– Arnaud Mégret
Nov 17 at 21:29
add a comment |
up vote
2
down vote
favorite
up vote
2
down vote
favorite
Let $X = (X_{n})_{n geq 0}$ be a homogeneous irreducible Markov chain on the state space $E := {1,dots ,N}$, $N in mathbb{N}$, $N geq 2$ and transition probability Matrix $P$. Let $B subset E$ be a proper subset of the state space $E$. For simplicity we assume that $B = {1,2,dots,L}$, $1 leq L < N$.
We call "sojourn of $X$ in $B$" any sequence $X_{m},X_{m+1},dots,X_{m+k}$ where $k geq 1$, $X_{m},X_{m+1},dots,X_{m+k-1} in B$, $X_{m+k} notin B$ and if $m > 0$, $X_{m-1} notin B$. This sojourn begins at time $m$ and finishes at time $m+k$. It lasts $k$.
Now let $V_{n}$, $n geq 1$ be the random variable "state of $B$ in which the $n^{text{th}}$ sojourn of $X$ begins".
Maybe the answer is obvious. I want to show that $(V_{n})_{ngeq 1}$ is a homogeneous Markov chain on the state space $B$. Hope someone can help me. Thanks!
probability markov-chains
Let $X = (X_{n})_{n geq 0}$ be a homogeneous irreducible Markov chain on the state space $E := {1,dots ,N}$, $N in mathbb{N}$, $N geq 2$ and transition probability Matrix $P$. Let $B subset E$ be a proper subset of the state space $E$. For simplicity we assume that $B = {1,2,dots,L}$, $1 leq L < N$.
We call "sojourn of $X$ in $B$" any sequence $X_{m},X_{m+1},dots,X_{m+k}$ where $k geq 1$, $X_{m},X_{m+1},dots,X_{m+k-1} in B$, $X_{m+k} notin B$ and if $m > 0$, $X_{m-1} notin B$. This sojourn begins at time $m$ and finishes at time $m+k$. It lasts $k$.
Now let $V_{n}$, $n geq 1$ be the random variable "state of $B$ in which the $n^{text{th}}$ sojourn of $X$ begins".
Maybe the answer is obvious. I want to show that $(V_{n})_{ngeq 1}$ is a homogeneous Markov chain on the state space $B$. Hope someone can help me. Thanks!
probability markov-chains
probability markov-chains
edited Nov 17 at 13:10
Bernard
116k637108
116k637108
asked Nov 17 at 13:07
wayne
377112
377112
It is due to the memorylessness of the Markov chain $X_n$. You can formally prove the memorylessness property of $V_n$ by introducing all possible sequences of states between $V_n$ and $V_{n+1}$
– Arnaud Mégret
Nov 17 at 16:37
can you please write it down formally
– wayne
Nov 17 at 16:43
@ArnaudMégret - i agree that this should be "obvious" from the memoryless property, but i also have trouble writing it down formally. also, the OP includes $X$ being irreducible, but my gut feel is that $X$ being irreducible would lead to $V$ being irreducible, but $X$ being not irreducible would still lead to $V$ being a M.C. (albeit also not irreducible). am i missing something subtle here?
– antkam
Nov 17 at 19:58
@antkam I think you are right concerning the irreductible property. I think it is a sufficient condition for an unlimited number of sojourns to be sure to happen.
– Arnaud Mégret
Nov 17 at 21:29
add a comment |
It is due to the memorylessness of the Markov chain $X_n$. You can formally prove the memorylessness property of $V_n$ by introducing all possible sequences of states between $V_n$ and $V_{n+1}$
– Arnaud Mégret
Nov 17 at 16:37
can you please write it down formally
– wayne
Nov 17 at 16:43
@ArnaudMégret - i agree that this should be "obvious" from the memoryless property, but i also have trouble writing it down formally. also, the OP includes $X$ being irreducible, but my gut feel is that $X$ being irreducible would lead to $V$ being irreducible, but $X$ being not irreducible would still lead to $V$ being a M.C. (albeit also not irreducible). am i missing something subtle here?
– antkam
Nov 17 at 19:58
@antkam I think you are right concerning the irreductible property. I think it is a sufficient condition for an unlimited number of sojourns to be sure to happen.
– Arnaud Mégret
Nov 17 at 21:29
It is due to the memorylessness of the Markov chain $X_n$. You can formally prove the memorylessness property of $V_n$ by introducing all possible sequences of states between $V_n$ and $V_{n+1}$
– Arnaud Mégret
Nov 17 at 16:37
It is due to the memorylessness of the Markov chain $X_n$. You can formally prove the memorylessness property of $V_n$ by introducing all possible sequences of states between $V_n$ and $V_{n+1}$
– Arnaud Mégret
Nov 17 at 16:37
can you please write it down formally
– wayne
Nov 17 at 16:43
can you please write it down formally
– wayne
Nov 17 at 16:43
@ArnaudMégret - i agree that this should be "obvious" from the memoryless property, but i also have trouble writing it down formally. also, the OP includes $X$ being irreducible, but my gut feel is that $X$ being irreducible would lead to $V$ being irreducible, but $X$ being not irreducible would still lead to $V$ being a M.C. (albeit also not irreducible). am i missing something subtle here?
– antkam
Nov 17 at 19:58
@ArnaudMégret - i agree that this should be "obvious" from the memoryless property, but i also have trouble writing it down formally. also, the OP includes $X$ being irreducible, but my gut feel is that $X$ being irreducible would lead to $V$ being irreducible, but $X$ being not irreducible would still lead to $V$ being a M.C. (albeit also not irreducible). am i missing something subtle here?
– antkam
Nov 17 at 19:58
@antkam I think you are right concerning the irreductible property. I think it is a sufficient condition for an unlimited number of sojourns to be sure to happen.
– Arnaud Mégret
Nov 17 at 21:29
@antkam I think you are right concerning the irreductible property. I think it is a sufficient condition for an unlimited number of sojourns to be sure to happen.
– Arnaud Mégret
Nov 17 at 21:29
add a comment |
1 Answer
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Let S stands for the sequence of X's states up to (and including) the beginning of the nth sojourn and T be the sequence after S up to (and including) the beginning of the (n+1)th sojourn.
You have $P(V_{n+1}/V_n,V_{n-1},...)=sum_S[P(S/V_n,V_{n-1},...)sum_TP(T,V_{n+1}/S,V_n,V_{n-1},...)]$ (E)
The inner sum is equal to $sum_TP(T,V_n+1/V_n)$ due to the memoryless property so it does not depend on $S$ and the right part of (E) can be rewritten :
$P(V_{n+1}/V_n,V_{n-1},...)=sum_SP(S/V_n,V_{n-1},...).sum_TP(T,V_{n+1}/V_n)]=sum_TP(T,V_{n+1}/V_n)=P(V_{n+1}/V_n)$
thanks! and it's funny how the irreducible property of $X$ is not explicitly used but is needed for $V$ to be well defined. (Otherwise after some $V_n$ there may never be the next $V_{n+1}$.)
– antkam
Nov 18 at 16:04
add a comment |
1 Answer
1
active
oldest
votes
1 Answer
1
active
oldest
votes
active
oldest
votes
active
oldest
votes
up vote
1
down vote
Let S stands for the sequence of X's states up to (and including) the beginning of the nth sojourn and T be the sequence after S up to (and including) the beginning of the (n+1)th sojourn.
You have $P(V_{n+1}/V_n,V_{n-1},...)=sum_S[P(S/V_n,V_{n-1},...)sum_TP(T,V_{n+1}/S,V_n,V_{n-1},...)]$ (E)
The inner sum is equal to $sum_TP(T,V_n+1/V_n)$ due to the memoryless property so it does not depend on $S$ and the right part of (E) can be rewritten :
$P(V_{n+1}/V_n,V_{n-1},...)=sum_SP(S/V_n,V_{n-1},...).sum_TP(T,V_{n+1}/V_n)]=sum_TP(T,V_{n+1}/V_n)=P(V_{n+1}/V_n)$
thanks! and it's funny how the irreducible property of $X$ is not explicitly used but is needed for $V$ to be well defined. (Otherwise after some $V_n$ there may never be the next $V_{n+1}$.)
– antkam
Nov 18 at 16:04
add a comment |
up vote
1
down vote
Let S stands for the sequence of X's states up to (and including) the beginning of the nth sojourn and T be the sequence after S up to (and including) the beginning of the (n+1)th sojourn.
You have $P(V_{n+1}/V_n,V_{n-1},...)=sum_S[P(S/V_n,V_{n-1},...)sum_TP(T,V_{n+1}/S,V_n,V_{n-1},...)]$ (E)
The inner sum is equal to $sum_TP(T,V_n+1/V_n)$ due to the memoryless property so it does not depend on $S$ and the right part of (E) can be rewritten :
$P(V_{n+1}/V_n,V_{n-1},...)=sum_SP(S/V_n,V_{n-1},...).sum_TP(T,V_{n+1}/V_n)]=sum_TP(T,V_{n+1}/V_n)=P(V_{n+1}/V_n)$
thanks! and it's funny how the irreducible property of $X$ is not explicitly used but is needed for $V$ to be well defined. (Otherwise after some $V_n$ there may never be the next $V_{n+1}$.)
– antkam
Nov 18 at 16:04
add a comment |
up vote
1
down vote
up vote
1
down vote
Let S stands for the sequence of X's states up to (and including) the beginning of the nth sojourn and T be the sequence after S up to (and including) the beginning of the (n+1)th sojourn.
You have $P(V_{n+1}/V_n,V_{n-1},...)=sum_S[P(S/V_n,V_{n-1},...)sum_TP(T,V_{n+1}/S,V_n,V_{n-1},...)]$ (E)
The inner sum is equal to $sum_TP(T,V_n+1/V_n)$ due to the memoryless property so it does not depend on $S$ and the right part of (E) can be rewritten :
$P(V_{n+1}/V_n,V_{n-1},...)=sum_SP(S/V_n,V_{n-1},...).sum_TP(T,V_{n+1}/V_n)]=sum_TP(T,V_{n+1}/V_n)=P(V_{n+1}/V_n)$
Let S stands for the sequence of X's states up to (and including) the beginning of the nth sojourn and T be the sequence after S up to (and including) the beginning of the (n+1)th sojourn.
You have $P(V_{n+1}/V_n,V_{n-1},...)=sum_S[P(S/V_n,V_{n-1},...)sum_TP(T,V_{n+1}/S,V_n,V_{n-1},...)]$ (E)
The inner sum is equal to $sum_TP(T,V_n+1/V_n)$ due to the memoryless property so it does not depend on $S$ and the right part of (E) can be rewritten :
$P(V_{n+1}/V_n,V_{n-1},...)=sum_SP(S/V_n,V_{n-1},...).sum_TP(T,V_{n+1}/V_n)]=sum_TP(T,V_{n+1}/V_n)=P(V_{n+1}/V_n)$
answered Nov 17 at 21:19
Arnaud Mégret
351414
351414
thanks! and it's funny how the irreducible property of $X$ is not explicitly used but is needed for $V$ to be well defined. (Otherwise after some $V_n$ there may never be the next $V_{n+1}$.)
– antkam
Nov 18 at 16:04
add a comment |
thanks! and it's funny how the irreducible property of $X$ is not explicitly used but is needed for $V$ to be well defined. (Otherwise after some $V_n$ there may never be the next $V_{n+1}$.)
– antkam
Nov 18 at 16:04
thanks! and it's funny how the irreducible property of $X$ is not explicitly used but is needed for $V$ to be well defined. (Otherwise after some $V_n$ there may never be the next $V_{n+1}$.)
– antkam
Nov 18 at 16:04
thanks! and it's funny how the irreducible property of $X$ is not explicitly used but is needed for $V$ to be well defined. (Otherwise after some $V_n$ there may never be the next $V_{n+1}$.)
– antkam
Nov 18 at 16:04
add a comment |
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It is due to the memorylessness of the Markov chain $X_n$. You can formally prove the memorylessness property of $V_n$ by introducing all possible sequences of states between $V_n$ and $V_{n+1}$
– Arnaud Mégret
Nov 17 at 16:37
can you please write it down formally
– wayne
Nov 17 at 16:43
@ArnaudMégret - i agree that this should be "obvious" from the memoryless property, but i also have trouble writing it down formally. also, the OP includes $X$ being irreducible, but my gut feel is that $X$ being irreducible would lead to $V$ being irreducible, but $X$ being not irreducible would still lead to $V$ being a M.C. (albeit also not irreducible). am i missing something subtle here?
– antkam
Nov 17 at 19:58
@antkam I think you are right concerning the irreductible property. I think it is a sufficient condition for an unlimited number of sojourns to be sure to happen.
– Arnaud Mégret
Nov 17 at 21:29