On Distributions Computable by Random Walks on Graphs

Guy Kindler*, Dan Romik

*Corresponding author for this work

Research output: Contribution to conferencePaperpeer-review

Abstract

We answer a question raised by Donald E. Knuth and Andrew C. Yao, concerning the class of polynomials on [0, 1] that can be realized as the distribution function of a random variable, whose binary expansion is the output of a finite state automaton driven by unbiased coin tosses. The polynomial distribution functions which can be obtained in this way are precisely those with rational coefficients, whose derivative has no irrational roots on [0, 1]. We also show, strengthening a result of Knuth and Yao, that all smooth distribution functions which can be obtained by such automata are polynomials.

Original languageEnglish
Pages124-131
Number of pages8
StatePublished - 2004
EventProceedings of the Fifteenth Annual ACM-SIAM Symposium on Discrete Algorithms - New Orleans, LA., United States
Duration: 11 Jan 200413 Jan 2004

Conference

ConferenceProceedings of the Fifteenth Annual ACM-SIAM Symposium on Discrete Algorithms
Country/TerritoryUnited States
CityNew Orleans, LA.
Period11/01/0413/01/04

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