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Random Processes of the Form X n+1 = a n X n + b n (mod p)where b n takes on a Single Value

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Random Discrete Structures

Part of the book series: The IMA Volumes in Mathematics and its Applications ((IMA,volume 76))

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This paper studies random processes of the form X n +1 = a n X n + b n (mod p) where b n has only one possible value and a n is o or 1 with probability l/2 each. For values of p satisfying certain constraints imposed by a n and b n , X n gets close to uniformly distributed on Z/pZ for large enough n. This paper explores how large n needs to be as a function of p. Adapting techniques used by Chung, Diaconis, and Graham and techniques previously developed by the author, this paper shows that if n > c 1 log p log log p then X n gets close to uniformly distributed as p approaches infinity and that if n > c 2 log p then X n approaches the uniform distribution for almost all p satisfying the constraints. Furthermore, if a = 2, this paper shows that for certain p, if X n gets close to uniformly distributed, then n > C3 log p log log p.

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References

  1. Chung, F., Diaconis, P., and Graham, R.L. “A random walk problem arising in random number generation.” Annals of Probability 15, 1148–1165, 1987.

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  2. Diaconis, P. Group Representations in Probability and Statistics. Hayward, Calif.: Institute of Mathematical Statistics, 1988.

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  3. Hildebrand, M. “Rates of Convergence of Some Random Processes on Finite Groups.” Ph.D. thesis, Harvard University Department of Mathematics, 1990.

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  4. Hildebrand, M. “Random Processes of the Form X n+1 = a n + b n (mod p).” Annals of Probability 21, 710–720, 1993.

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  5. Knuth, D. The Art of Computer Programming. Vol. II, 2nd ed. Menlo Park, Calif.: Addison-Wesley, 1981.

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© 1996 Springer-Verlag Berlin Heidelberg

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Hildebrand, M. (1996). Random Processes of the Form X n+1 = a n X n + b n (mod p)where b n takes on a Single Value. In: Aldous, D., Pemantle, R. (eds) Random Discrete Structures. The IMA Volumes in Mathematics and its Applications, vol 76. Springer, New York, NY. https://doi.org/10.1007/978-1-4612-0719-1_10

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  • DOI: https://doi.org/10.1007/978-1-4612-0719-1_10

  • Publisher Name: Springer, New York, NY

  • Print ISBN: 978-1-4612-6881-9

  • Online ISBN: 978-1-4612-0719-1

  • eBook Packages: Springer Book Archive

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