Hipster random walks

09/16/2019
by   Louigi Addario-Berry, et al.
0

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 (2017; arXiv:1709.07849), and to the critical random hierarchical lattice studied by Hambly and Jordan (2004). We prove distributional convergence for the processes 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.

READ FULL TEXT

page 1

page 2

page 3

page 4

research
10/05/2021

Exact and Approximate Mean First Passage Times on Trees and other Necklace Structures: a Local Equilibrium Approach

In this work we propose a novel method to calculate mean first-passage t...
research
05/30/2021

Hitting times for non-backtracking random walks

A non-backtracking random walk on a graph is a random walk where, at eac...
research
04/07/2021

Cooperative motion in one dimension

We prove distributional convergence for a family of random processes on ...
research
07/21/2021

Delving Into Deep Walkers: A Convergence Analysis of Random-Walk-Based Vertex Embeddings

Graph vertex embeddings based on random walks have become increasingly i...
research
08/24/2020

Eigenvalues and Eigenvectors of Tau Matrices with Applications to Markov Processes and Economics

In the context of matrix displacement decomposition, Bozzo and Di Fiore ...
research
04/07/2022

Symmetric cooperative motion in one dimension

We explore the relationship between recursive distributional equations a...
research
09/25/2019

A computational framework for two-dimensional random walks with restarts

The treatment of two-dimensional random walks in the quarter plane leads...

Please sign up or login with your details

Forgot password? Click here to reset