Charged particles

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We are creating a circular hub consisting of charged 0 and 1 particles next to each other, beginning with four of them: 0, 1, -0 and -1 in this order. Every 1 sec we randomly select one of each kind and add it next to the last one. Whenever a 0 particle finds itself next to a -0 or a 1 particle next to a -1, they both vanish. Assuming it is equally likely to select each of the 4 kinds, what is the probability that at some point the hub vanishes completely?




I assume it is not as easy as



$frac 14.frac 13.frac 12$, right?



I can't figure out of anything else...



Any help?







share|cite|improve this question



















  • Your probability does not take into consideration cases where the hub vanishes after adding some particles without vanishing at first, like for example $0,1,-0,-1,0,0,0,-0,-0,-0,1,0,-1,-0$
    – Sil
    Jul 22 at 12:37











  • @Sil yes but how do we take into account ALL these cases to calculate the total probability?
    – Sal.Cognato
    Jul 22 at 12:43










  • I don't quite understand how the fact that the hub is circular enters into this. You have $0$, $1$, $-0$, $-1$ to start with, so I assume the $-1$ is next to the $0$. Now you add a new particle. Am I right in thinking that you add it between the $-1$ and the $0$, and it will vanish (together with its partner) if it's either a $1$ or a $-0$? And then you keep adding new particles between the end and the beginning of the sequence, and they can vanish either with the end or with the beginning of the sequence?
    – joriki
    Jul 23 at 4:45















up vote
8
down vote

favorite
1













We are creating a circular hub consisting of charged 0 and 1 particles next to each other, beginning with four of them: 0, 1, -0 and -1 in this order. Every 1 sec we randomly select one of each kind and add it next to the last one. Whenever a 0 particle finds itself next to a -0 or a 1 particle next to a -1, they both vanish. Assuming it is equally likely to select each of the 4 kinds, what is the probability that at some point the hub vanishes completely?




I assume it is not as easy as



$frac 14.frac 13.frac 12$, right?



I can't figure out of anything else...



Any help?







share|cite|improve this question



















  • Your probability does not take into consideration cases where the hub vanishes after adding some particles without vanishing at first, like for example $0,1,-0,-1,0,0,0,-0,-0,-0,1,0,-1,-0$
    – Sil
    Jul 22 at 12:37











  • @Sil yes but how do we take into account ALL these cases to calculate the total probability?
    – Sal.Cognato
    Jul 22 at 12:43










  • I don't quite understand how the fact that the hub is circular enters into this. You have $0$, $1$, $-0$, $-1$ to start with, so I assume the $-1$ is next to the $0$. Now you add a new particle. Am I right in thinking that you add it between the $-1$ and the $0$, and it will vanish (together with its partner) if it's either a $1$ or a $-0$? And then you keep adding new particles between the end and the beginning of the sequence, and they can vanish either with the end or with the beginning of the sequence?
    – joriki
    Jul 23 at 4:45













up vote
8
down vote

favorite
1









up vote
8
down vote

favorite
1






1






We are creating a circular hub consisting of charged 0 and 1 particles next to each other, beginning with four of them: 0, 1, -0 and -1 in this order. Every 1 sec we randomly select one of each kind and add it next to the last one. Whenever a 0 particle finds itself next to a -0 or a 1 particle next to a -1, they both vanish. Assuming it is equally likely to select each of the 4 kinds, what is the probability that at some point the hub vanishes completely?




I assume it is not as easy as



$frac 14.frac 13.frac 12$, right?



I can't figure out of anything else...



Any help?







share|cite|improve this question












We are creating a circular hub consisting of charged 0 and 1 particles next to each other, beginning with four of them: 0, 1, -0 and -1 in this order. Every 1 sec we randomly select one of each kind and add it next to the last one. Whenever a 0 particle finds itself next to a -0 or a 1 particle next to a -1, they both vanish. Assuming it is equally likely to select each of the 4 kinds, what is the probability that at some point the hub vanishes completely?




I assume it is not as easy as



$frac 14.frac 13.frac 12$, right?



I can't figure out of anything else...



Any help?









share|cite|improve this question










share|cite|improve this question




share|cite|improve this question









asked Jul 22 at 12:29









Sal.Cognato

1788




1788











  • Your probability does not take into consideration cases where the hub vanishes after adding some particles without vanishing at first, like for example $0,1,-0,-1,0,0,0,-0,-0,-0,1,0,-1,-0$
    – Sil
    Jul 22 at 12:37











  • @Sil yes but how do we take into account ALL these cases to calculate the total probability?
    – Sal.Cognato
    Jul 22 at 12:43










  • I don't quite understand how the fact that the hub is circular enters into this. You have $0$, $1$, $-0$, $-1$ to start with, so I assume the $-1$ is next to the $0$. Now you add a new particle. Am I right in thinking that you add it between the $-1$ and the $0$, and it will vanish (together with its partner) if it's either a $1$ or a $-0$? And then you keep adding new particles between the end and the beginning of the sequence, and they can vanish either with the end or with the beginning of the sequence?
    – joriki
    Jul 23 at 4:45

















  • Your probability does not take into consideration cases where the hub vanishes after adding some particles without vanishing at first, like for example $0,1,-0,-1,0,0,0,-0,-0,-0,1,0,-1,-0$
    – Sil
    Jul 22 at 12:37











  • @Sil yes but how do we take into account ALL these cases to calculate the total probability?
    – Sal.Cognato
    Jul 22 at 12:43










  • I don't quite understand how the fact that the hub is circular enters into this. You have $0$, $1$, $-0$, $-1$ to start with, so I assume the $-1$ is next to the $0$. Now you add a new particle. Am I right in thinking that you add it between the $-1$ and the $0$, and it will vanish (together with its partner) if it's either a $1$ or a $-0$? And then you keep adding new particles between the end and the beginning of the sequence, and they can vanish either with the end or with the beginning of the sequence?
    – joriki
    Jul 23 at 4:45
















Your probability does not take into consideration cases where the hub vanishes after adding some particles without vanishing at first, like for example $0,1,-0,-1,0,0,0,-0,-0,-0,1,0,-1,-0$
– Sil
Jul 22 at 12:37





Your probability does not take into consideration cases where the hub vanishes after adding some particles without vanishing at first, like for example $0,1,-0,-1,0,0,0,-0,-0,-0,1,0,-1,-0$
– Sil
Jul 22 at 12:37













@Sil yes but how do we take into account ALL these cases to calculate the total probability?
– Sal.Cognato
Jul 22 at 12:43




@Sil yes but how do we take into account ALL these cases to calculate the total probability?
– Sal.Cognato
Jul 22 at 12:43












I don't quite understand how the fact that the hub is circular enters into this. You have $0$, $1$, $-0$, $-1$ to start with, so I assume the $-1$ is next to the $0$. Now you add a new particle. Am I right in thinking that you add it between the $-1$ and the $0$, and it will vanish (together with its partner) if it's either a $1$ or a $-0$? And then you keep adding new particles between the end and the beginning of the sequence, and they can vanish either with the end or with the beginning of the sequence?
– joriki
Jul 23 at 4:45





I don't quite understand how the fact that the hub is circular enters into this. You have $0$, $1$, $-0$, $-1$ to start with, so I assume the $-1$ is next to the $0$. Now you add a new particle. Am I right in thinking that you add it between the $-1$ and the $0$, and it will vanish (together with its partner) if it's either a $1$ or a $-0$? And then you keep adding new particles between the end and the beginning of the sequence, and they can vanish either with the end or with the beginning of the sequence?
– joriki
Jul 23 at 4:45











2 Answers
2






active

oldest

votes

















up vote
6
down vote



accepted










As it was pointed out in the comments, the solution below is for the case when the particles are arranged in a line, rather than circularly. So please modify the proof below.



To simplyfy the definition of the process, in each step we have the following possibilities.
Either with probability $1/4$ the length decreases by 1, or with probability $3/4$, the length increases by 1. So this is an unbalanced Drunkard walk (one of the most basic Markov chains there is) on infinitely many states indexed by the non-negative integers. Your initial state is $4$, and the only absorbing state is 0. Your question is the probability of absorption.



This can be computed using standard theory in Markov chains.



Let $p$ be the probability that from a given state $ngeq 1$ you at some point reach $n-1$. Note that this $p$ is independent from $n$. So from the law of total probability (based on the case distinction that the first move is to the left or to the right) we have



$$p= frac14cdot 1 + frac34cdot p^2$$



Proof: if the first move is to the left, then we are done (i.e., the probability is 1 in this case). If the first move is to the right, then we have to reach $n-1$ from $n+1$. This is equivalent to reaching $n$ from $n+1$ and then reaching $n-1$ from $n$, hence the probability is $p^2$.



So $3p^2-4p +1 = 0$, or equivalently, $(3p-1)(p-1)=0$. Thus $p=1$ or $p=1/3$. It is easy to see that $p$ is not $1$, so $p=1/3$.



(There is another argument: consider the finite state Drunkard walk with the same transition probabilities starting from state $1$. Then there is a well-known closed formula for the probability of absorption, which tends to $1/3$ as the number of states tends to infinity.)



So we can move one step to the left with probability $1/3$. Thus, to ever reach the state that is four steps to the left from the initial state, has probability $(1/3)^4=1/81$.






share|cite|improve this answer



















  • 1




    This is a good answer for the linear case. But the question asked is for a circular arrangement.
    – Cyclohexanol.
    Jul 22 at 15:12










  • You are right, I missed that in the problem description. Anyway, it is easy to modify the argument. Only the numbers are different, the technique is the same.
    – A. Pongrácz
    Jul 22 at 16:09










  • No, the technique I believe is completely different, since the identity of each element at the ends matter for the probabilities.
    – Cyclohexanol.
    Jul 22 at 16:20










  • I am not sure about "completely", but you are right again. One needs to be more careful.
    – A. Pongrácz
    Jul 22 at 16:25










  • If the probability didn't turn out to be $1$ (see my answer), e.g. if we had four different types of pairs, then I don't think this method could be directly applied to the circular case to calculate the probability, because in the circular case additional pairs can be annihilated, and the probability for that to happen depends in a potentially complicated way on the history.
    – joriki
    Jul 23 at 6:12


















up vote
2
down vote













I understand the procedure as follows:



We have a sequence of particles that starts out as $0$, $1$, $-0$, $-1$. We keep adding particles to the end of this sequence. The sequence is circular in the sense that the last particle is considered to be adjacent to the first particle, so they can potentially vanish together if they match. Even if particles from either end of the sequence vanish, new particles are always added to the end of the sequence.



Then the probability that all particles will eventually vanish is $1$. In each step, we have probability $frac12$ of at least one pair of particles vanishing (since the ends of the sequence are of two different types and we uniformly randomly choose one of four types). More than one pair of particles might vanish in a single step if the new ends also match, but we can ignore that since a probability of $frac12$ for a single match per step is already enough. The number of particles in the sequence is a biased random walk with probability $frac12$ of taking a step $-2$ and probability $frac12$ of taking a step $+1$. A biased random walk almost surely diverges towards the side of the bias, so the sequence almost surely vanishes completely. This would even be true if there were an additional pair, $2$ and $-2$, since we'd then take a step $-2$ with probability $frac13$ and a step $+1$ with probability $frac23$, so the expected value of the step would be $0$ and the random walk would still almost surely reach any given point.






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    2 Answers
    2






    active

    oldest

    votes








    2 Answers
    2






    active

    oldest

    votes









    active

    oldest

    votes






    active

    oldest

    votes








    up vote
    6
    down vote



    accepted










    As it was pointed out in the comments, the solution below is for the case when the particles are arranged in a line, rather than circularly. So please modify the proof below.



    To simplyfy the definition of the process, in each step we have the following possibilities.
    Either with probability $1/4$ the length decreases by 1, or with probability $3/4$, the length increases by 1. So this is an unbalanced Drunkard walk (one of the most basic Markov chains there is) on infinitely many states indexed by the non-negative integers. Your initial state is $4$, and the only absorbing state is 0. Your question is the probability of absorption.



    This can be computed using standard theory in Markov chains.



    Let $p$ be the probability that from a given state $ngeq 1$ you at some point reach $n-1$. Note that this $p$ is independent from $n$. So from the law of total probability (based on the case distinction that the first move is to the left or to the right) we have



    $$p= frac14cdot 1 + frac34cdot p^2$$



    Proof: if the first move is to the left, then we are done (i.e., the probability is 1 in this case). If the first move is to the right, then we have to reach $n-1$ from $n+1$. This is equivalent to reaching $n$ from $n+1$ and then reaching $n-1$ from $n$, hence the probability is $p^2$.



    So $3p^2-4p +1 = 0$, or equivalently, $(3p-1)(p-1)=0$. Thus $p=1$ or $p=1/3$. It is easy to see that $p$ is not $1$, so $p=1/3$.



    (There is another argument: consider the finite state Drunkard walk with the same transition probabilities starting from state $1$. Then there is a well-known closed formula for the probability of absorption, which tends to $1/3$ as the number of states tends to infinity.)



    So we can move one step to the left with probability $1/3$. Thus, to ever reach the state that is four steps to the left from the initial state, has probability $(1/3)^4=1/81$.






    share|cite|improve this answer



















    • 1




      This is a good answer for the linear case. But the question asked is for a circular arrangement.
      – Cyclohexanol.
      Jul 22 at 15:12










    • You are right, I missed that in the problem description. Anyway, it is easy to modify the argument. Only the numbers are different, the technique is the same.
      – A. Pongrácz
      Jul 22 at 16:09










    • No, the technique I believe is completely different, since the identity of each element at the ends matter for the probabilities.
      – Cyclohexanol.
      Jul 22 at 16:20










    • I am not sure about "completely", but you are right again. One needs to be more careful.
      – A. Pongrácz
      Jul 22 at 16:25










    • If the probability didn't turn out to be $1$ (see my answer), e.g. if we had four different types of pairs, then I don't think this method could be directly applied to the circular case to calculate the probability, because in the circular case additional pairs can be annihilated, and the probability for that to happen depends in a potentially complicated way on the history.
      – joriki
      Jul 23 at 6:12















    up vote
    6
    down vote



    accepted










    As it was pointed out in the comments, the solution below is for the case when the particles are arranged in a line, rather than circularly. So please modify the proof below.



    To simplyfy the definition of the process, in each step we have the following possibilities.
    Either with probability $1/4$ the length decreases by 1, or with probability $3/4$, the length increases by 1. So this is an unbalanced Drunkard walk (one of the most basic Markov chains there is) on infinitely many states indexed by the non-negative integers. Your initial state is $4$, and the only absorbing state is 0. Your question is the probability of absorption.



    This can be computed using standard theory in Markov chains.



    Let $p$ be the probability that from a given state $ngeq 1$ you at some point reach $n-1$. Note that this $p$ is independent from $n$. So from the law of total probability (based on the case distinction that the first move is to the left or to the right) we have



    $$p= frac14cdot 1 + frac34cdot p^2$$



    Proof: if the first move is to the left, then we are done (i.e., the probability is 1 in this case). If the first move is to the right, then we have to reach $n-1$ from $n+1$. This is equivalent to reaching $n$ from $n+1$ and then reaching $n-1$ from $n$, hence the probability is $p^2$.



    So $3p^2-4p +1 = 0$, or equivalently, $(3p-1)(p-1)=0$. Thus $p=1$ or $p=1/3$. It is easy to see that $p$ is not $1$, so $p=1/3$.



    (There is another argument: consider the finite state Drunkard walk with the same transition probabilities starting from state $1$. Then there is a well-known closed formula for the probability of absorption, which tends to $1/3$ as the number of states tends to infinity.)



    So we can move one step to the left with probability $1/3$. Thus, to ever reach the state that is four steps to the left from the initial state, has probability $(1/3)^4=1/81$.






    share|cite|improve this answer



















    • 1




      This is a good answer for the linear case. But the question asked is for a circular arrangement.
      – Cyclohexanol.
      Jul 22 at 15:12










    • You are right, I missed that in the problem description. Anyway, it is easy to modify the argument. Only the numbers are different, the technique is the same.
      – A. Pongrácz
      Jul 22 at 16:09










    • No, the technique I believe is completely different, since the identity of each element at the ends matter for the probabilities.
      – Cyclohexanol.
      Jul 22 at 16:20










    • I am not sure about "completely", but you are right again. One needs to be more careful.
      – A. Pongrácz
      Jul 22 at 16:25










    • If the probability didn't turn out to be $1$ (see my answer), e.g. if we had four different types of pairs, then I don't think this method could be directly applied to the circular case to calculate the probability, because in the circular case additional pairs can be annihilated, and the probability for that to happen depends in a potentially complicated way on the history.
      – joriki
      Jul 23 at 6:12













    up vote
    6
    down vote



    accepted







    up vote
    6
    down vote



    accepted






    As it was pointed out in the comments, the solution below is for the case when the particles are arranged in a line, rather than circularly. So please modify the proof below.



    To simplyfy the definition of the process, in each step we have the following possibilities.
    Either with probability $1/4$ the length decreases by 1, or with probability $3/4$, the length increases by 1. So this is an unbalanced Drunkard walk (one of the most basic Markov chains there is) on infinitely many states indexed by the non-negative integers. Your initial state is $4$, and the only absorbing state is 0. Your question is the probability of absorption.



    This can be computed using standard theory in Markov chains.



    Let $p$ be the probability that from a given state $ngeq 1$ you at some point reach $n-1$. Note that this $p$ is independent from $n$. So from the law of total probability (based on the case distinction that the first move is to the left or to the right) we have



    $$p= frac14cdot 1 + frac34cdot p^2$$



    Proof: if the first move is to the left, then we are done (i.e., the probability is 1 in this case). If the first move is to the right, then we have to reach $n-1$ from $n+1$. This is equivalent to reaching $n$ from $n+1$ and then reaching $n-1$ from $n$, hence the probability is $p^2$.



    So $3p^2-4p +1 = 0$, or equivalently, $(3p-1)(p-1)=0$. Thus $p=1$ or $p=1/3$. It is easy to see that $p$ is not $1$, so $p=1/3$.



    (There is another argument: consider the finite state Drunkard walk with the same transition probabilities starting from state $1$. Then there is a well-known closed formula for the probability of absorption, which tends to $1/3$ as the number of states tends to infinity.)



    So we can move one step to the left with probability $1/3$. Thus, to ever reach the state that is four steps to the left from the initial state, has probability $(1/3)^4=1/81$.






    share|cite|improve this answer















    As it was pointed out in the comments, the solution below is for the case when the particles are arranged in a line, rather than circularly. So please modify the proof below.



    To simplyfy the definition of the process, in each step we have the following possibilities.
    Either with probability $1/4$ the length decreases by 1, or with probability $3/4$, the length increases by 1. So this is an unbalanced Drunkard walk (one of the most basic Markov chains there is) on infinitely many states indexed by the non-negative integers. Your initial state is $4$, and the only absorbing state is 0. Your question is the probability of absorption.



    This can be computed using standard theory in Markov chains.



    Let $p$ be the probability that from a given state $ngeq 1$ you at some point reach $n-1$. Note that this $p$ is independent from $n$. So from the law of total probability (based on the case distinction that the first move is to the left or to the right) we have



    $$p= frac14cdot 1 + frac34cdot p^2$$



    Proof: if the first move is to the left, then we are done (i.e., the probability is 1 in this case). If the first move is to the right, then we have to reach $n-1$ from $n+1$. This is equivalent to reaching $n$ from $n+1$ and then reaching $n-1$ from $n$, hence the probability is $p^2$.



    So $3p^2-4p +1 = 0$, or equivalently, $(3p-1)(p-1)=0$. Thus $p=1$ or $p=1/3$. It is easy to see that $p$ is not $1$, so $p=1/3$.



    (There is another argument: consider the finite state Drunkard walk with the same transition probabilities starting from state $1$. Then there is a well-known closed formula for the probability of absorption, which tends to $1/3$ as the number of states tends to infinity.)



    So we can move one step to the left with probability $1/3$. Thus, to ever reach the state that is four steps to the left from the initial state, has probability $(1/3)^4=1/81$.







    share|cite|improve this answer















    share|cite|improve this answer



    share|cite|improve this answer








    edited Jul 22 at 16:10


























    answered Jul 22 at 13:10









    A. Pongrácz

    2,109221




    2,109221







    • 1




      This is a good answer for the linear case. But the question asked is for a circular arrangement.
      – Cyclohexanol.
      Jul 22 at 15:12










    • You are right, I missed that in the problem description. Anyway, it is easy to modify the argument. Only the numbers are different, the technique is the same.
      – A. Pongrácz
      Jul 22 at 16:09










    • No, the technique I believe is completely different, since the identity of each element at the ends matter for the probabilities.
      – Cyclohexanol.
      Jul 22 at 16:20










    • I am not sure about "completely", but you are right again. One needs to be more careful.
      – A. Pongrácz
      Jul 22 at 16:25










    • If the probability didn't turn out to be $1$ (see my answer), e.g. if we had four different types of pairs, then I don't think this method could be directly applied to the circular case to calculate the probability, because in the circular case additional pairs can be annihilated, and the probability for that to happen depends in a potentially complicated way on the history.
      – joriki
      Jul 23 at 6:12













    • 1




      This is a good answer for the linear case. But the question asked is for a circular arrangement.
      – Cyclohexanol.
      Jul 22 at 15:12










    • You are right, I missed that in the problem description. Anyway, it is easy to modify the argument. Only the numbers are different, the technique is the same.
      – A. Pongrácz
      Jul 22 at 16:09










    • No, the technique I believe is completely different, since the identity of each element at the ends matter for the probabilities.
      – Cyclohexanol.
      Jul 22 at 16:20










    • I am not sure about "completely", but you are right again. One needs to be more careful.
      – A. Pongrácz
      Jul 22 at 16:25










    • If the probability didn't turn out to be $1$ (see my answer), e.g. if we had four different types of pairs, then I don't think this method could be directly applied to the circular case to calculate the probability, because in the circular case additional pairs can be annihilated, and the probability for that to happen depends in a potentially complicated way on the history.
      – joriki
      Jul 23 at 6:12








    1




    1




    This is a good answer for the linear case. But the question asked is for a circular arrangement.
    – Cyclohexanol.
    Jul 22 at 15:12




    This is a good answer for the linear case. But the question asked is for a circular arrangement.
    – Cyclohexanol.
    Jul 22 at 15:12












    You are right, I missed that in the problem description. Anyway, it is easy to modify the argument. Only the numbers are different, the technique is the same.
    – A. Pongrácz
    Jul 22 at 16:09




    You are right, I missed that in the problem description. Anyway, it is easy to modify the argument. Only the numbers are different, the technique is the same.
    – A. Pongrácz
    Jul 22 at 16:09












    No, the technique I believe is completely different, since the identity of each element at the ends matter for the probabilities.
    – Cyclohexanol.
    Jul 22 at 16:20




    No, the technique I believe is completely different, since the identity of each element at the ends matter for the probabilities.
    – Cyclohexanol.
    Jul 22 at 16:20












    I am not sure about "completely", but you are right again. One needs to be more careful.
    – A. Pongrácz
    Jul 22 at 16:25




    I am not sure about "completely", but you are right again. One needs to be more careful.
    – A. Pongrácz
    Jul 22 at 16:25












    If the probability didn't turn out to be $1$ (see my answer), e.g. if we had four different types of pairs, then I don't think this method could be directly applied to the circular case to calculate the probability, because in the circular case additional pairs can be annihilated, and the probability for that to happen depends in a potentially complicated way on the history.
    – joriki
    Jul 23 at 6:12





    If the probability didn't turn out to be $1$ (see my answer), e.g. if we had four different types of pairs, then I don't think this method could be directly applied to the circular case to calculate the probability, because in the circular case additional pairs can be annihilated, and the probability for that to happen depends in a potentially complicated way on the history.
    – joriki
    Jul 23 at 6:12











    up vote
    2
    down vote













    I understand the procedure as follows:



    We have a sequence of particles that starts out as $0$, $1$, $-0$, $-1$. We keep adding particles to the end of this sequence. The sequence is circular in the sense that the last particle is considered to be adjacent to the first particle, so they can potentially vanish together if they match. Even if particles from either end of the sequence vanish, new particles are always added to the end of the sequence.



    Then the probability that all particles will eventually vanish is $1$. In each step, we have probability $frac12$ of at least one pair of particles vanishing (since the ends of the sequence are of two different types and we uniformly randomly choose one of four types). More than one pair of particles might vanish in a single step if the new ends also match, but we can ignore that since a probability of $frac12$ for a single match per step is already enough. The number of particles in the sequence is a biased random walk with probability $frac12$ of taking a step $-2$ and probability $frac12$ of taking a step $+1$. A biased random walk almost surely diverges towards the side of the bias, so the sequence almost surely vanishes completely. This would even be true if there were an additional pair, $2$ and $-2$, since we'd then take a step $-2$ with probability $frac13$ and a step $+1$ with probability $frac23$, so the expected value of the step would be $0$ and the random walk would still almost surely reach any given point.






    share|cite|improve this answer

























      up vote
      2
      down vote













      I understand the procedure as follows:



      We have a sequence of particles that starts out as $0$, $1$, $-0$, $-1$. We keep adding particles to the end of this sequence. The sequence is circular in the sense that the last particle is considered to be adjacent to the first particle, so they can potentially vanish together if they match. Even if particles from either end of the sequence vanish, new particles are always added to the end of the sequence.



      Then the probability that all particles will eventually vanish is $1$. In each step, we have probability $frac12$ of at least one pair of particles vanishing (since the ends of the sequence are of two different types and we uniformly randomly choose one of four types). More than one pair of particles might vanish in a single step if the new ends also match, but we can ignore that since a probability of $frac12$ for a single match per step is already enough. The number of particles in the sequence is a biased random walk with probability $frac12$ of taking a step $-2$ and probability $frac12$ of taking a step $+1$. A biased random walk almost surely diverges towards the side of the bias, so the sequence almost surely vanishes completely. This would even be true if there were an additional pair, $2$ and $-2$, since we'd then take a step $-2$ with probability $frac13$ and a step $+1$ with probability $frac23$, so the expected value of the step would be $0$ and the random walk would still almost surely reach any given point.






      share|cite|improve this answer























        up vote
        2
        down vote










        up vote
        2
        down vote









        I understand the procedure as follows:



        We have a sequence of particles that starts out as $0$, $1$, $-0$, $-1$. We keep adding particles to the end of this sequence. The sequence is circular in the sense that the last particle is considered to be adjacent to the first particle, so they can potentially vanish together if they match. Even if particles from either end of the sequence vanish, new particles are always added to the end of the sequence.



        Then the probability that all particles will eventually vanish is $1$. In each step, we have probability $frac12$ of at least one pair of particles vanishing (since the ends of the sequence are of two different types and we uniformly randomly choose one of four types). More than one pair of particles might vanish in a single step if the new ends also match, but we can ignore that since a probability of $frac12$ for a single match per step is already enough. The number of particles in the sequence is a biased random walk with probability $frac12$ of taking a step $-2$ and probability $frac12$ of taking a step $+1$. A biased random walk almost surely diverges towards the side of the bias, so the sequence almost surely vanishes completely. This would even be true if there were an additional pair, $2$ and $-2$, since we'd then take a step $-2$ with probability $frac13$ and a step $+1$ with probability $frac23$, so the expected value of the step would be $0$ and the random walk would still almost surely reach any given point.






        share|cite|improve this answer













        I understand the procedure as follows:



        We have a sequence of particles that starts out as $0$, $1$, $-0$, $-1$. We keep adding particles to the end of this sequence. The sequence is circular in the sense that the last particle is considered to be adjacent to the first particle, so they can potentially vanish together if they match. Even if particles from either end of the sequence vanish, new particles are always added to the end of the sequence.



        Then the probability that all particles will eventually vanish is $1$. In each step, we have probability $frac12$ of at least one pair of particles vanishing (since the ends of the sequence are of two different types and we uniformly randomly choose one of four types). More than one pair of particles might vanish in a single step if the new ends also match, but we can ignore that since a probability of $frac12$ for a single match per step is already enough. The number of particles in the sequence is a biased random walk with probability $frac12$ of taking a step $-2$ and probability $frac12$ of taking a step $+1$. A biased random walk almost surely diverges towards the side of the bias, so the sequence almost surely vanishes completely. This would even be true if there were an additional pair, $2$ and $-2$, since we'd then take a step $-2$ with probability $frac13$ and a step $+1$ with probability $frac23$, so the expected value of the step would be $0$ and the random walk would still almost surely reach any given point.







        share|cite|improve this answer













        share|cite|improve this answer



        share|cite|improve this answer











        answered Jul 23 at 6:08









        joriki

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