1. Presenting convex sets of probability distributions by convex semilattices and unique bases
- Author
-
Bonchi, Filippo, Sokolova, Ana, Valeria, Vignudelli, University of Pisa - Università di Pisa, University of Salzburg, École normale supérieure de Lyon (ENS de Lyon), Centre National de la Recherche Scientifique (CNRS), Université Claude Bernard Lyon 1 (UCBL), Université de Lyon, Laboratoire de l'Informatique du Parallélisme (LIP), École normale supérieure de Lyon (ENS de Lyon)-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université de Lyon-Institut National de Recherche en Informatique et en Automatique (Inria)-Centre National de la Recherche Scientifique (CNRS), ANR-20-CE48-0005,QuaReMe,Méthodes de raisonnement quantitative pour les logiques probabilistiques(2020), ANR-16-CE25-0011,REPAS,Des systèmes logiciels fiables et conscients des données privées, via les métriques de bisimulation(2016), ANR-10-LABX-0070,MILYON,Community of mathematics and fundamental computer science in Lyon(2010), ANR-11-IDEX-0007,Avenir L.S.E.,PROJET AVENIR LYON SAINT-ETIENNE(2011), and European Project: 678157,H2020,ERC-2015-STG,CoVeCe(2016)
- Subjects
FOS: Computer and information sciences ,Computer Science - Logic in Computer Science ,Convex semilattices ,[INFO.INFO-FL]Computer Science [cs]/Formal Languages and Automata Theory [cs.FL] ,[INFO.INFO-LO]Computer Science [cs]/Logic in Computer Science [cs.LO] ,Convex sets of distributions monad ,Unique base ,Logic in Computer Science (cs.LO) - Abstract
International audience; We prove that every finitely generated convex set of finitely supported probability distributions has a unique base. We apply this result to provide an alternative proof of a recent result: the algebraic theory of convex semilattices presents the monad of convex sets of probability distributions.
- Published
- 2021