Delays Induce an Exponential Memory Gap for Rendezvous in Trees
Pierre Fraigniaud, Andrzej Pelc

TL;DR
This paper investigates the memory requirements for deterministic rendezvous of two identical agents in trees, revealing an exponential gap in memory needs depending on whether agents start simultaneously or with delay.
Contribution
It establishes tight bounds on memory size for rendezvous in trees, showing an exponential difference based on delay and the number of leaves, with optimality proofs.
Findings
Memory needed with arbitrary delay is Omega(log n) bits.
Memory needed with simultaneous start depends on number of leaves, O(log L + loglog n).
Lower bound of Omega(log L + loglog n) bits even for degree-bounded trees.
Abstract
The aim of rendezvous in a graph is meeting of two mobile agents at some node of an unknown anonymous connected graph. In this paper, we focus on rendezvous in trees, and, analogously to the efforts that have been made for solving the exploration problem with compact automata, we study the size of memory of mobile agents that permits to solve the rendezvous problem deterministically. We assume that the agents are identical, and move in synchronous rounds. We first show that if the delay between the starting times of the agents is arbitrary, then the lower bound on memory required for rendezvous is Omega(log n) bits, even for the line of length n. This lower bound meets a previously known upper bound of O(log n) bits for rendezvous in arbitrary graphs of size at most n. Our main result is a proof that the amount of memory needed for rendezvous with simultaneous start depends…
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