Title :
Continuous Random Variables
Author :
Goubault-Larrecq, Jean ; Varacca, Daniele
Author_Institution :
LSV, ENS Cachan, Cachan, France
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;
Conference_Titel :
Logic in Computer Science (LICS), 2011 26th Annual IEEE Symposium on
Conference_Location :
Toronto, ON
Print_ISBN :
978-1-4577-0451-2
Electronic_ISBN :
1043-6871
DOI :
10.1109/LICS.2011.23