Paper detail

Stabilization Time for a Type of Evolution on Binary Strings

We consider a type of evolution on {0,1}^n which occurs in discrete steps whereby at each step, we replace every occurrence of the substring "01" by "10". After at most n-1 steps we will reach a string of the form 11..1100..11, which we will call a "stabilized" string and we call the number of steps required the "stabilization time". If we choose each bit of the string independently to be a 1 with probability p and a 0 with probability 1-p, then the stabilization time of a string in {0,1}^n is a random variable with values in 0,1,...,n-1}. We study the asymptotic behavior of this random variable as n goes to infinity and we determine its limit distribution after suitable centering and scaling . When p is not 1/2, the limit distribution is Gaussian. When p = 1/2, the limit distribution is a χ_3 distribution. We also explicitly compute the limit distribution in a threshold setting where p=p_n varies with n given by p_n = 1/2 + λ/ 2 \sqrt{n} for λ> 0 a fixed parameter. This analysis gives rise to a one parameter family of distributions that fit between a χ_3 and a Gaussian distribution. The tools used in our arguments are a natural interpretation of strings in {0,1}^n as Young diagrams, and a connection with the known distribution for the maximal height of a Brownian path on [0,1].