Uniform convergence conjecture for the limiting rook-placement profile

Let λDn\lambda\in\mathcal{D}_n be a fixed partition, and let ε>0\varepsilon>0. For a uniformly random rook placement πUnif(RP(Nλ))\pi\sim\operatorname{Unif}(\operatorname{RP}(N\odot\lambda)), write ξ~π(t)\widetilde{\xi}_{\pi}(t) for its rescaled profile and mλ(t)\mathfrak{m}_{\lambda}(t) for the limiting mean profile. Uniform convergence conjecture.

P ⁣(supt[0,2]ξ~π(t)mλ(t)<ε)1\mathbb{P}\!\left(\sup_{t\in[0,2]}\left|\widetilde{\xi}_{\pi}(t)-\mathfrak{m}_{\lambda}(t)\right|<\varepsilon\right)\longrightarrow 1

as NN\to\infty. This predicts convergence in probability, uniformly over t[0,2]t\in[0,2], of the rescaled rook-placement profile to its deterministic limiting mean. The preceding proposition establishes convergence of expectations at each fixed tt, while the conjecture strengthens this to uniform probabilistic convergence.

Sources & referencesView supporting material

Primary source

Pakawut Jiradilok, “Large-scale Rook Placements”, arXiv:2204.00615 (2022).

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