Uniform convergence conjecture for the limiting rook-placement profile

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Let λ∈Dn\lambda\in\mathcal{D}_n be a fixed partition, and let ε>0\varepsilon>0. For a uniformly random rook placement π∼Unif⁡(RP⁡(N⊙λ))\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 ⁣(sup⁡t∈[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 N→∞N\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.

References

Primary source

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

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