Title :
Coinductive Proof Principles for Stochastic Processes
Author_Institution :
Dept. of Comput. Sci., Cornell Univ., Ithaca, NY
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;
Conference_Titel :
Logic in Computer Science, 2006 21st Annual IEEE Symposium on
Conference_Location :
Seattle, WA
Print_ISBN :
0-7695-2631-4
DOI :
10.1109/LICS.2006.18