Title

Entropy and Expected Acceptance Counts for Finite Automata

Document Type

Article

Department

Mathematics (HMC)

Publication Date

1-2004

Abstract

If a sequence of independent unbiased random bits is fed into a finite automaton, it is straightforward to calculate the expected number of acceptances among the first n prefixes of the sequence. This paper deals with the situation in which the random bits are neither independent nor unbiased, but are nearly so. We show that, under suitable assumptions concerning the automaton, if the difference between the entropy of the first n bits and n converges to a constant exponentially fast, then the change in the expected number of acceptances also converges to a constant exponentially fast. We illustrate this result with a variety of examples in which numbers following the reciprocal distribution, which governs the significands of floating-point numbers, are recoded in the execution of various multiplication algorithms.

Rights Information

© 2004 IEEE

Terms of Use & License Information

Terms of Use for work posted in Scholarship@Claremont.