Dynamical noise sensitivity for the voter model

Gideon Amir, Omer Angel, Rangel Baldasso, Ron Peretz

Research output: Contribution to journalArticlepeer-review

Abstract

We study noise sensitivity of the consensus opinion of the voter model on finite graphs, with respect to noise affecting the initial opinions and noise affecting the dynamics. We prove that the final opinion is stable with respect to small perturbations of the initial configuration, and is sensitive to perturbations of the dynamics governing the evolution of the process. Our proofs rely on the duality relationship between the voter model and coalescing random walks, and on a precise description of this evolution when we have coupled dynamics.

Original languageEnglish
Article number42
JournalElectronic Communications in Probability
Volume27
DOIs
StatePublished - 2022

Keywords

  • consensus opinion
  • noise sensitivity
  • noise stability
  • voter model

All Science Journal Classification (ASJC) codes

  • Statistics and Probability
  • Statistics, Probability and Uncertainty

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