Multidimensional symmetric cooperative motion converges in distribution to the Barenblatt solution of the porous medium equation via new analysis of finite difference schemes with unbounded data.
Hipster random walks, random series-parallel graph and random homogeneous systems
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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).
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Symmetric Cooperative Motion in Higher Dimensions
Multidimensional symmetric cooperative motion converges in distribution to the Barenblatt solution of the porous medium equation via new analysis of finite difference schemes with unbounded data.