Probability of having k groups of r consecutive empty bins throwing n balls in n bins












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Suppose to throw independently n balls in n bins with uniform probability. I'm trying to obtain the probability distribution of having exactly k groups of r consecutive empty bins.



I started considering the case $r=1$ and I numbered the bins from $1$ to $n$. I counted the ways to choose $k$ numbers out of ${1,dots,n}$ so none of them is consecutive, obtaining $$binom{n-k+1}{k}.$$ For each case I had now to place $n$ balls in the remaining $n-k$ bins, which can be done in $$S(n,n-k)(n-k)!$$ ways, where $S(a,b)$ is the Stirling number of the second kind. Dividing by the number of possible configurations $n^n$, I thought to obtain the desired result, but then I realized there's a problem: the total number of empty bins can be greater than $k$, so I can have groups of $2$ or more consecutive empty bins along with the single empty bins, which aren't accounted for in my derivation.



I tried to run some simulations too, and it seems to me that the probability I'm looking for takes the form of a binomial distribution for all $r$, but I can't figure out why. For example for $n=100$ I found:



$r=1$ $;longrightarrow;$ $P(k)=Binom(40,0.38)$



$r=2$ $;longrightarrow;$ $P(k)=Binom(26,0.21)$










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    Suppose to throw independently n balls in n bins with uniform probability. I'm trying to obtain the probability distribution of having exactly k groups of r consecutive empty bins.



    I started considering the case $r=1$ and I numbered the bins from $1$ to $n$. I counted the ways to choose $k$ numbers out of ${1,dots,n}$ so none of them is consecutive, obtaining $$binom{n-k+1}{k}.$$ For each case I had now to place $n$ balls in the remaining $n-k$ bins, which can be done in $$S(n,n-k)(n-k)!$$ ways, where $S(a,b)$ is the Stirling number of the second kind. Dividing by the number of possible configurations $n^n$, I thought to obtain the desired result, but then I realized there's a problem: the total number of empty bins can be greater than $k$, so I can have groups of $2$ or more consecutive empty bins along with the single empty bins, which aren't accounted for in my derivation.



    I tried to run some simulations too, and it seems to me that the probability I'm looking for takes the form of a binomial distribution for all $r$, but I can't figure out why. For example for $n=100$ I found:



    $r=1$ $;longrightarrow;$ $P(k)=Binom(40,0.38)$



    $r=2$ $;longrightarrow;$ $P(k)=Binom(26,0.21)$










    share|cite|improve this question



























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      0







      Suppose to throw independently n balls in n bins with uniform probability. I'm trying to obtain the probability distribution of having exactly k groups of r consecutive empty bins.



      I started considering the case $r=1$ and I numbered the bins from $1$ to $n$. I counted the ways to choose $k$ numbers out of ${1,dots,n}$ so none of them is consecutive, obtaining $$binom{n-k+1}{k}.$$ For each case I had now to place $n$ balls in the remaining $n-k$ bins, which can be done in $$S(n,n-k)(n-k)!$$ ways, where $S(a,b)$ is the Stirling number of the second kind. Dividing by the number of possible configurations $n^n$, I thought to obtain the desired result, but then I realized there's a problem: the total number of empty bins can be greater than $k$, so I can have groups of $2$ or more consecutive empty bins along with the single empty bins, which aren't accounted for in my derivation.



      I tried to run some simulations too, and it seems to me that the probability I'm looking for takes the form of a binomial distribution for all $r$, but I can't figure out why. For example for $n=100$ I found:



      $r=1$ $;longrightarrow;$ $P(k)=Binom(40,0.38)$



      $r=2$ $;longrightarrow;$ $P(k)=Binom(26,0.21)$










      share|cite|improve this question















      Suppose to throw independently n balls in n bins with uniform probability. I'm trying to obtain the probability distribution of having exactly k groups of r consecutive empty bins.



      I started considering the case $r=1$ and I numbered the bins from $1$ to $n$. I counted the ways to choose $k$ numbers out of ${1,dots,n}$ so none of them is consecutive, obtaining $$binom{n-k+1}{k}.$$ For each case I had now to place $n$ balls in the remaining $n-k$ bins, which can be done in $$S(n,n-k)(n-k)!$$ ways, where $S(a,b)$ is the Stirling number of the second kind. Dividing by the number of possible configurations $n^n$, I thought to obtain the desired result, but then I realized there's a problem: the total number of empty bins can be greater than $k$, so I can have groups of $2$ or more consecutive empty bins along with the single empty bins, which aren't accounted for in my derivation.



      I tried to run some simulations too, and it seems to me that the probability I'm looking for takes the form of a binomial distribution for all $r$, but I can't figure out why. For example for $n=100$ I found:



      $r=1$ $;longrightarrow;$ $P(k)=Binom(40,0.38)$



      $r=2$ $;longrightarrow;$ $P(k)=Binom(26,0.21)$







      probability combinatorics balls-in-bins






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      edited Nov 21 '18 at 19:55









      Jack Moody

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      16611










      asked Nov 21 '18 at 19:44









      ARWarrior

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