English

Frogs, hats and common subsequences

Combinatorics 2025-03-21 v2 Probability

Abstract

Write W(n)W^{(n)} to mean the nn-letter word obtained by repeating a fixed word WW and let RnR_n denote a uniformly random nn-letter word sampled from the same alphabet as WW. We are interested in the average length of the longest common subsequence between W(n)W^{(n)} and RnR_n, which is known to be γ(W)n+o(n)\gamma(W)\cdot n+o(n) for some constant γ(W)\gamma(W). Bukh and Cox recently developed an interacting particle system, dubbed the frog dynamics, which can be used to compute the constant γ(W)\gamma(W) for any fixed word WW. They successfully analyzed the simplest case of the frog dynamics to find an explicit formula for the constants γ(12k)\gamma(12\cdots k). We continue this study by using the frog dynamics to find an explicit formula for the constants γ(12kk21)\gamma(12\cdots kk\cdots 21). The frog dynamics in this case is a variation of the PushTASEP on the ring where some clocks are identical. Interestingly, exclusion processes with correlated clocks of this type appear to have not been analyzed before. Our analysis leads to a seemingly new combinatorial object which could be of independent interest: frogs with hats!

Cite

@article{arxiv.2404.07285,
  title  = {Frogs, hats and common subsequences},
  author = {Joseph Briggs and Alex Parker and Coy Schwieder and Chris Wells},
  journal= {arXiv preprint arXiv:2404.07285},
  year   = {2025}
}

Comments

29 pages, 7 figures

R2 v1 2026-06-28T15:50:24.846Z