RANDOM-PROCESSES OF THE FORM XN+1=ANXN+BN (MOD P)

被引:15
作者
HILDEBRAND, M
机构
[1] UNIV MICHIGAN, DEPT MATH, ANN ARBOR, MI 48109 USA
[2] HARVARD UNIV, CAMBRIDGE, MA 02138 USA
关键词
RANDOM PROCESSES; FOURIER TRANSFORM; CONVERGENCE; UNIFORM DISTRIBUTION; UPPER BOUND LEMMA; RECURSION;
D O I
10.1214/aop/1176989264
中图分类号
O21 [概率论与数理统计]; C8 [统计学];
学科分类号
020208 ; 070103 ; 0714 ;
摘要
This paper considers random processes of the form X(n+1) = a(n)X(n) + b(n) (mod p), where X0 = 0 and the sequences a(n) and b(n) are independent with a(n) identically distributed for n = 0, 1, 2.... and b(n) identically distributed for n = 0, 1, 2,... . Chung, Diaconis and Graham studied such processes where a(n) = 2 always; this paper considers more general distributions for a(n) and b(n). The question is how long does it take these processes to get close to the uniform distribution? If an is a distribution on Z+ which does not vary with p and b(n) is a distribution on Z which also does not vary with p, an upper bound on this time is O((log p)2) with appropriate restrictions on p unless a(n) = 1 always, b(n) = 0 always or a(n) and b(n) can each take on only one value. This paper uses a recursive relation involving the discrete Fourier transform to find the bound. Under more restrictive conditions for a(n) and b(n), this paper finds that a generalization of the technique of Chung, Diaconis and Graham shows that O(log p log log p) steps suffice.
引用
收藏
页码:710 / 720
页数:11
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