Coinductive Proof Principles for Stochastic ProcessesArticle
Authors: Dexter Kozen
0000-0002-8007-4725
Dexter Kozen
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.
Dexter Kozen, Lecture notes in computer science, Optimal Coin Flipping, pp. 407-426, 2014, 10.1007/978-3-319-06880-0_21.
Prakash Panangaden, Lecture notes in computer science, Dexter Kozen’s Influence on the Theory of Labelled Markov Processes, pp. 334-337, 2012, 10.1007/978-3-642-29485-3_28.
Prakash Panangaden, Cambridge University Press eBooks, Probabilistic bisimulation, pp. 290-326, 2011, 10.1017/cbo9780511792588.008.