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
Link To Document