机构:McGill University,Department of Mathematics and Statistics
L. Addario-Berry
H. Cairns
论文数: 0引用数: 0
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机构:McGill University,Department of Mathematics and Statistics
H. Cairns
L. Devroye
论文数: 0引用数: 0
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机构:McGill University,Department of Mathematics and Statistics
L. Devroye
C. Kerriou
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机构:McGill University,Department of Mathematics and Statistics
C. Kerriou
R. Mitchell
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机构:McGill University,Department of Mathematics and Statistics
R. Mitchell
机构:
[1] McGill University,Department of Mathematics and Statistics
[2] Cornell University,Department of Mathematics
[3] McGill University,School of Computer Science
来源:
Probability Theory and Related Fields
|
2020年
/
178卷
关键词:
Recursive distributional equations;
Random trees;
Numerical analysis;
Burgers’ equation;
Porous medium equation;
PDEs;
Interacting particle systems;
60F05;
65M75;
60B10;
60G18;
D O I:
暂无
中图分类号:
学科分类号:
摘要:
We introduce and study a family of random processes on trees we call hipster random walks, special instances of which we heuristically connect to the min-plus binary trees introduced by Robin Pemantle and studied by Auffinger and Cable (Pemantle’s Min-Plus Binary Tree, 2017. arXiv:1709.07849 [math.PR]), and to the critical random hierarchical lattice studied by Hambly and Jordan (Adv Appl Probab 36(3):824–838, 2004. https://doi.org/10.1239/aap/1093962236). We prove distributional convergence for the processes, after rescaling, by showing that their evolutions can be understood as a discrete analogues of certain convection–diffusion equations, then using a combination of coupling arguments and results from the numerical analysis literature on convergence of numerical approximations of PDEs.