• DocumentCode
    2544854
  • Title

    Continuous Random Variables

  • Author

    Goubault-Larrecq, Jean ; Varacca, Daniele

  • Author_Institution
    LSV, ENS Cachan, Cachan, France
  • fYear
    2011
  • fDate
    21-24 June 2011
  • Firstpage
    97
  • Lastpage
    106
  • Abstract
    We introduce the domain of continuous random variables (CRV) over a domain, as an alternative to Jones and Plotkin´s probabilistic power domain. While no known Cartesian-closed category is stable under the latter, we show that the so-called thin (uniform) CRVs define a strong monad on the Cartesian-closed category of bc-domains. We also characterize their inequational theory, as (fair-)coin algebras. We apply this to solve a recent problem posed by M. Escardo: testing is semi-decidable for EPCF terms. CRVs arose from the study of the second author´s (layered) Hoare indexed valuations, and we also make the connection apparent.
  • Keywords
    algebra; category theory; decidability; probability; random processes; CRV; Cartesian-closed category; EPCF terms; Hoare indexed valuations; continuous random variables; fair-coin algebras; inequational theory; monad; probabilistic power domain; semidecidable; Algebra; Cost accounting; Probabilistic logic; Random variables; System recovery; Topology; Upper bound; bc-domain; domain theory; indexed valuation; monad; probabilistic powerdomain; random variable;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Logic in Computer Science (LICS), 2011 26th Annual IEEE Symposium on
  • Conference_Location
    Toronto, ON
  • ISSN
    1043-6871
  • Print_ISBN
    978-1-4577-0451-2
  • Electronic_ISBN
    1043-6871
  • Type

    conf

  • DOI
    10.1109/LICS.2011.23
  • Filename
    5970207