Random sequential adsorption of k-mers on the fully-connected lattice: probability distributions and extreme value statistics

Abstract : We study the random sequential adsorption of $k$-mers on the fully-connected lattice with $N=kn$ sites. The probability distribution $S_n(s,t)$ of the number of $k$-mers $s$ covering the lattice at time $t$ is obtained by solving the associated master equation. Taking the scaling limit, we show that the fluctuations of $s$ are Gaussian, with a mean value and a variance both growing as $n$. The probability distribution $T_n(s,t)$ of the time $t$ needed to cover the lattice with $s$ $k$-mers is deduced from its generating function. In the scaling limit, when $n-s=O(n)$, the mean value and the variance of the covering time are both growing as $n$ and the fluctuations are Gaussian. When full coverage is approached the scaling functions diverge, which is the signal of a new scaling behaviour. Indeed, when $u=n-s=O(1)$ the mean value of the covering time grows as $n^k$ and the variance as $n^{2k}$, thus $t$ is strongly fluctuating and no longer self-averaging. In this new scaling regime the master equation governing the evolution of $T_n$ leads, for each value of $k$, to a difference-differential equation for the corresponding extreme-value distribution, indexed by $u$. Explicit results are obtained for monomers (generalized Gumbel distribution) and dimers.
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https://hal.archives-ouvertes.fr/hal-02264130
Contributor : Loïc Turban <>
Submitted on : Tuesday, August 6, 2019 - 12:22:50 PM
Last modification on : Wednesday, August 7, 2019 - 1:18:27 AM

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  • HAL Id : hal-02264130, version 1
  • ARXIV : 1908.00940

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Loïc Turban. Random sequential adsorption of k-mers on the fully-connected lattice: probability distributions and extreme value statistics. 2019. ⟨hal-02264130⟩

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