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On a new class of multiplicative pseudo-random number generators
Authors:R. G. Stoneham
Affiliation:(1) The City College of the City University of New York, New York, N.Y., USA
Abstract:In the computing literature, there are few detailed analytical studies of the global statistical characteristics of a class of multiplicative pseudo-random number generators.We comment briefly on normal numbers and study analytically the approximately uniform discrete distribution or (j,phiv)-normality in the sense of Besicovitch for complete periods of fractional parts {x0lambda1i/pagr} on [0, 1] fori=0, 1,..., (p–1)pagr–1–1, i.e. in current terminology, generators given byxn+1 equivlambda1xn mod pagr wheren=0, 1,..., (p–1)pagr–1–1,p is any odd prime, (x0,p)=1,lambda1 is a primitive root modp2, and agrge1 is any positive integer.We derive the expectationsE(X, agr),E(X2, agr),E(XnXn+k); the varianceV(X, agr), and the serial correlation coefficient rhovk. By means of Dedekind sums and some results of H. Rademacher, we investigate the asymptotic properties of rhovk for various lagsk and integers agrge1 and give numerical illustrations. For the frequently used case agr=1, we find comparable results to estimates of Coveyou and Jansson as well as a mathematical demonstration of a so-called ldquorule of thumbrdquo related to the choice oflambda1 for small rhovk.Due to the number of parameters in this class of generators, it may be possible to obtain increased control over the statistical behavior of these pseudo-random sequences both analytically as well as computationally.
Keywords:Normal numbers  (j,   /content/rg4u798666524100/xxlarge981.gif"   alt="  phiv"   align="  MIDDLE"   BORDER="  0"  >)-normality, rational fractions and pseudo-random sequences  discrete approximately uniform distributions  statistical measures  expectations  first moment  second moment  variance  serial correlation coefficient  Dedekind sums  numerical examples  random sampling numbers  primitive roots
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