Coinductive Proof Principles for Stochastic Processes
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 high...
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Format: | Article |
Language: | English |
Published: |
Logical Methods in Computer Science e.V.
2007-11-01
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Series: | Logical Methods in Computer Science |
Subjects: | |
Online Access: | https://lmcs.episciences.org/1098/pdf |
Summary: | 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. |
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ISSN: | 1860-5974 |