Power-law bounds for increasing subsequences in Brownian separable permutons and homogeneous sets in Brownian cographons
Jacopo Borga, William Da Silva, Ewain Gwynne
TL;DR
This work establishes sharp power-law bounds for the length of the longest increasing subsequence in random permutations drawn from Brownian separable permutons and the size of the largest homogeneous sets in Brownian cographons. The authors develop a fragmentation-based framework embedded in a Brownian excursion and hyper-precise probabilistic estimates via a Markovian selection rule to derive explicit exponents α_*(p) and β^*(p) that bound LIS between n^{α_*(p)-o(1)} and n^{β^*(p)+o(1)}. In the symmetric case p=1/2, the bounds yield α_*(p) ≈ 0.812 and β^*(p) ≈ 0.975, with simulations suggesting α_*(p) is near-optimal across p∈(0,1); analogous results hold for the largest homogeneous sets in Brownian cographons, translating LIS exponents to clique and independent set sizes. The methods connect Brownian-type continuum limits to discrete permutation and graph models, offering a pathway to transfer bounds to uniform separable permutations and uniform cographs via coupling arguments and highlighting deep links with fragmentation theory and Erdős–Hajnal-type phenomena in a probabilistic continuum setting.
Abstract
The Brownian separable permutons are a one-parameter family -- indexed by $p\in(0,1)$ -- of universal limits of random constrained permutations. We show that for each $p\in (0,1)$, there are explicit constants $1/2 < α_*(p) \leq β^*(p) < 1$ such that the length of the longest increasing subsequence in a random permutation of size $n$ sampled from the Brownian separable permuton is between $n^{α_*(p) - o(1)}$ and $n^{β^*(p) + o(1)}$ with probability tending to 1 as $n\to\infty$. In the symmetric case $p=1/2$, we have $α_*(p) \approx 0.812$ and $β^*(p)\approx 0.975$. We present numerical simulations which suggest that the lower bound $α_*(p)$ is close to optimal in the whole range $p\in(0,1)$. Our results work equally well for the closely related Brownian cographons. In this setting, we show that for each $p\in (0,1)$, the size of the largest clique (resp. independent set) in a random graph on $n$ vertices sampled from the Brownian cographon is between $n^{α_*(p) - o(1)}$ and $n^{β^*(p) + o(1)}$ (resp. $n^{α_*(1-p) - o(1)}$ and $n^{β^*(1-p) + o(1)}$) with probability tending to 1 as $n\to\infty$. Our proofs are based on the analysis of a fragmentation process embedded in a Brownian excursion introduced by Bertoin (2002). We expect that our techniques can be extended to prove similar bounds for uniform separable permutations and uniform cographs.
