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Random Walks and the Best Meeting Time for Trees

Andrew Beveridge, Ari Holcombe Pomerance

TL;DR

This work analyzes the best meeting time $T_{\mathrm{bestmeet}}(G)=\min_{v}\sum_{u}\pi_u H(u,v)$ for random walks on trees with order $n$ and diameter $d$, introducing the joining time $J(v)=2|E|H(\pi,v)$ and the barycenter as a centrality notion. The authors show that among such trees the balanced lever $L_{n,d}$ uniquely minimizes $T_{\mathrm{bestmeet}}$, while the balanced double broom $D_{n,d}$ uniquely maximizes it, deriving explicit parity-dependent formulas for these extremal values. They also provide global bounds for all trees of order $n$, showing $T_{\mathrm{bestmeet}}(S_n)=\tfrac{1}{2}$ as the minimum, and giving maximizing structures as the path $P_n$ when $n$ is even and the broom $B_{n,n-2}$ (rather than the path) when $n$ is odd and large enough. The results identify how diameter-constrained tree shapes influence centrality-like measures of random walks and offer precise, exploitable formulas for extremal meeting times.

Abstract

We consider random walks on a tree $G=(V,E)$ with stationary distribution $π_v = \mathrm{deg}(v)/2|E|$ for $v \in V$. Let the hitting time $H(v,w)$ denote the expected number of steps required for the random walk started at vertex $v$ to reach vertex $w$. We characterize the extremal tree structures for the best meeting time $T_{\mathrm{bestmeet}}(G) = \min_{w \in V} \sum_{v \in V} π_v H(v,w)$ for trees of order $n$ with diameter $d$. The best meeting time is maximized by the balanced double broom graph, and it is minimized by the balanced lever graph.

Random Walks and the Best Meeting Time for Trees

TL;DR

This work analyzes the best meeting time for random walks on trees with order and diameter , introducing the joining time and the barycenter as a centrality notion. The authors show that among such trees the balanced lever uniquely minimizes , while the balanced double broom uniquely maximizes it, deriving explicit parity-dependent formulas for these extremal values. They also provide global bounds for all trees of order , showing as the minimum, and giving maximizing structures as the path when is even and the broom (rather than the path) when is odd and large enough. The results identify how diameter-constrained tree shapes influence centrality-like measures of random walks and offer precise, exploitable formulas for extremal meeting times.

Abstract

We consider random walks on a tree with stationary distribution for . Let the hitting time denote the expected number of steps required for the random walk started at vertex to reach vertex . We characterize the extremal tree structures for the best meeting time for trees of order with diameter . The best meeting time is maximized by the balanced double broom graph, and it is minimized by the balanced lever graph.

Paper Structure

This paper contains 13 sections, 18 theorems, 61 equations, 3 figures.

Key Result

Theorem 1.6

For $2 \leq d \leq n-1$ the quantity $\min_{G \in \mathcal{T}_{n,d}} T_{\mathrm{bestmeet}}(G)$ is achieved uniquely by the balanced lever graph $L_{n,d}$. We have

Figures (3)

  • Figure 1.1: The balanced lever $L_{11,5}$, the broom $B_{11,5}$ and the balanced double broom $D_{11,5}$.
  • Figure 2.1: A tree $G$ and its $v$-split into $\deg(v)=3$ subgraphs.
  • Figure 3.1: The three-phase process that minimizes $J_{\min}(G)$. We start with a tree $G \in \mathcal{T}_{37,12}$ whose barycenter is not on a geodesic path. Phase One: repeatedly move all leaves besides $v_0,v_{12}$ to be adjacent to $c$. Phase Two: Move all non-path vertices to become leaves adjacent to $v_5$. Phase Three: move the fulcrum of the lever from $v_5$ to $v_6$.

Theorems & Definitions (39)

  • Definition 1.1
  • Definition 1.2
  • Definition 1.3
  • Definition 1.4
  • Definition 1.5
  • Theorem 1.6
  • Theorem 1.7
  • Theorem 1.8
  • Definition 2.1
  • Theorem 2.2: Theorem 1.2 of BW2013
  • ...and 29 more