Conjecture on the limiting empirical mass distribution of red leaves

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Fix a critical initial law with (p(0),λ(0))∈C(p(0),\lambda(0))\in\mathscr{C}. Let Ntt\mathfrak{N}^t_t be the set of red leaves at time tt, let Xtt(u)\mathfrak{X}^t_t(u) be the mass of u∈Nttu\in\mathfrak{N}^t_t, and let Nt=#NttN_t=\#\mathfrak{N}^t_t. For positive real numbers xtx_t satisfying xt/t→x∈R+x_t/t\to x\in\mathbb{R}_+ as t→∞t\to\infty, consider the empirical random measure

1Nt∑u∈NttδXtt(u).\frac{1}{N_t}\sum_{u\in\mathfrak{N}^t_t}\delta_{\mathfrak{X}^t_t(u)}.

Red-leaf empirical-measure conjecture. Under Pxt\mathbb{P}_{x_t}, this random measure converges in law for the topology of vague convergence, and its limiting law does not depend on xx. This concerns the typical mass of a red leaf in the critical Derrida–Retaux model; the source explicitly presents it as an unanswered further question and does not identify the limiting measure.

References

Primary source

Yueyun Hu, Bastien Mallein and Michel Pain, “An exactly solvable continuous-time Derrida–Retaux model”, arXiv:1811.08749 (2019).

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