• DocumentCode
    2510773
  • Title

    Coinductive Proof Principles for Stochastic Processes

  • Author

    Kozen, Dexter

  • Author_Institution
    Dept. of Comput. Sci., Cornell Univ., Ithaca, NY
  • fYear
    0
  • fDate
    0-0 0
  • Firstpage
    359
  • Lastpage
    366
  • Abstract
    We give an explicit coinduction principle for recursively-defined stochastic processes. The principle applies to any closed property, not just equality, and works even when solutions are not unique. The rule encapsulates low-level analytic arguments, allowing reasoning about such processes at a higher algebraic level. We illustrate the use of the rule in deriving properties of a simple coin-flip process
  • Keywords
    functional programming; process algebra; recursive functions; stochastic processes; theorem proving; algebraic level; coin-flip process; coinductive proof principles; functional programming; low-level analytic arguments; recursively-defined stochastic processes; Analytical models; Arithmetic; Automata; Computer science; Equations; Functional programming; Logic; Q measurement; Stochastic processes; Tail;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Logic in Computer Science, 2006 21st Annual IEEE Symposium on
  • Conference_Location
    Seattle, WA
  • ISSN
    1043-6871
  • Print_ISBN
    0-7695-2631-4
  • Type

    conf

  • DOI
    10.1109/LICS.2006.18
  • Filename
    1691247