Communication, dynamics, and renormalization

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

This paper explores a general strategy for analyzing network-based dynamical systems. The starting point is a method for parsing an arbitrary sequence of graphs over a given set of nodes. The technique is then harnessed to carry out a dynamic form of renormalization for averaging-based systems. This analytical framework allows us to formulate new criteria for ensuring the asymptotic periodicity of diffusive influence systems.

Original languageEnglish (US)
Title of host publicationAlgorithms and Complexity - 9th International Conference, CIAC 2015, Proceedings
EditorsPeter Widmayer, Vangelis Th. Paschos
PublisherSpringer Verlag
Pages1-32
Number of pages32
ISBN (Print)9783319181721
DOIs
StatePublished - Jan 1 2015
Event9th International Conference on Algorithms and Complexity, CIAC 2015 - Paris, France
Duration: May 20 2015May 22 2015

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume9079
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other9th International Conference on Algorithms and Complexity, CIAC 2015
CountryFrance
CityParis
Period5/20/155/22/15

All Science Journal Classification (ASJC) codes

  • Theoretical Computer Science
  • Computer Science(all)

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  • Cite this

    Chazelle, B. (2015). Communication, dynamics, and renormalization. In P. Widmayer, & V. T. Paschos (Eds.), Algorithms and Complexity - 9th International Conference, CIAC 2015, Proceedings (pp. 1-32). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 9079). Springer Verlag. https://doi.org/10.1007/978-3-319-18173-8_1