A topological characterization of stabilizing consensus

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Authors: Ulrich Schmid, Stephan Felber, Hugo Rincon Galeana
Cited by: 0
References: 46

Abstract

We provide a complete characterization of the solvability/impossibility of deterministic stabilizing consensus in virtually any computing model with benign process and communication faults using point-set topology. Relying on the topologies for infinite executions introduced by Nowak, Schmid and Winkler (JACM, 2024) for terminating consensus, we show that semi-open decision sets and semi-continuous decision functions as introduced by Levin (AMM, 1963) are the appropriate means for this characterization: Unlike the continuous decision functions for terminating consensus, semi-continuous functions do not require the inverse image of an open set to be open and hence allow to map a connected space to a disconnected one. We also show that multi-valued stabilizing consensus with weak and strong validity are equivalent, as is the case for terminating consensus. By applying our results to (variants of) all the known possibilities/impossibilities for stabilizing consensus, we easily provide a topological explanation of these results.

Fields of Study & Subjects

Distributed Control Multi-Agent Systems Neural Networks Stability and Synchronization Graph theory and applications

Publication details

Journal / source
Distributed Computing
Publisher
Springer Science and Business Media LLC
Volume
39
Issue
3
Pages
17–17
Publication date
22 June 2026
Language
EN