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  • 标题:Population-Induced Phase Transitions and the Verification of Chemical Reaction Networks
  • 本地全文:下载
  • 作者:James I. Lathrop ; Jack H. Lutz ; Robyn R. Lutz
  • 期刊名称:LIPIcs : Leibniz International Proceedings in Informatics
  • 电子版ISSN:1868-8969
  • 出版年度:2020
  • 卷号:174
  • 页码:5:1-5:17
  • DOI:10.4230/LIPIcs.DNA.2020.5
  • 出版社:Schloss Dagstuhl -- Leibniz-Zentrum fuer Informatik
  • 摘要:We show that very simple molecular systems, modeled as chemical reaction networks, can have behaviors that exhibit dramatic phase transitions at certain population thresholds. Moreover, the magnitudes of these thresholds can thwart attempts to use simulation, model checking, or approximation by differential equations to formally verify the behaviors of such systems at realistic populations. We show how formal theorem provers can successfully verify some such systems at populations where other verification methods fail.
  • 关键词:chemical reaction networks; molecular programming; phase transitions; population protocols; verification
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