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On distributions computable by random walks on graphs
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Source Symposium on Discrete Algorithms archive
Proceedings of the fifteenth annual ACM-SIAM symposium on Discrete algorithms table of contents
New Orleans, Louisiana
SESSION: Session 1C table of contents
Pages: 131 - 138  
Year of Publication: 2004
ISBN:0-89871-558-X
Authors
Guy Kindler  The Hebrew University of Jerusalem, Jerusalem, Israel
Dan Romik  The Weizmann Institute of Science, Rehovot, Israel
Sponsor
SIGACT: ACM Special Interest Group on Algorithms and Computation Theory
Publisher
Society for Industrial and Applied Mathematics  Philadelphia, PA, USA
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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.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

 
1
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2
P. J. Kelly, M. L. Weiss, Geometry and Convexity, Wiley, 1979.
 
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D. E. Knuth, A. C. Yao, The complexity of nonuniform random number generation. Algorithms and Complexity: New Directions and Recent Results, ed. J. F. Traub, Addison-Wesley, 1976.
 
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E. Mossel, Y. Peres, New coins from old: computing with unknown bias. To appear.
 
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A. C. Yao, Context-free grammars and random number generation. Combinatorial Algorithms on Words, ed. A. Apostolico and Z. Galil, NATO ASI SERIES, Springer-Verlag 1985.