Hipster random walks, random series-parallel graph and random homogeneous systems
Xinxing Chen, Thomas Duquesne, Zhan Shi
TL;DR
This work develops a unified framework for random 1-homogeneous, monotone recursions driven by random functions $\mathbf{F}\in\mathscr{H}$, unifying two canonical models—critical random series-parallel graph resistances and hipster random walks. The authors build a general Lambda-condition-based method to obtain sharp lower bounds, and under suitable moment conditions prove Derrida-type results: after scaling by $ (c_* n)^{1/3}$, $\log X_n$ converges in distribution to the density $\frac{3}{4} (1-x^2) \mathbf{1}_{\{|x|<1\}}$, with $c_* = \tfrac{9}{4} \mathbb{E}[\Gamma_{\mathbf{F}}^{(0,2)} + 2\Gamma_{\mathbf{F}}^{(1,1)}]$. This yields the limiting law for the effective resistance in the critical series-parallel graph and recovers the hipster-walk result, while applying to a broad family of random homogeneous systems. The constant is expressed via Gamma-function moments, tying the limit to intrinsic features of the random function field, and the paper suggests broader functional-limit prospects alongside connections to PDE approaches. Overall, the work confirms Derrida’s conjecture in the $n^{1/3}$-scaling regime and provides a versatile probabilistic route to universal limiting laws for recursive random systems.
Abstract
We study a class of random homogeneous systems. Our main result says that under suitable general assumptions, these systems converge weakly, upon a suitable normalization, to the probability distribution with density $\frac34 \, (1-x^2) \, {\bf 1}_{\{ x\in (-1, \, 1)\} }$. Two special cases are of particular interest: for the effective resistance of the critical random series-parallel graph, our result gives an affirmative answer to a conjecture of Hambly and Jordan (Adv. Appl. Probab. 2004) and further conjectures of Addario-Berry et al. (Probab.Theory Related Fields 2020) and Derrida whereas for the hipster random walk, we recover a previous result of Addario-Berry et al.~(Probab. Theory Related Fields 2020).
