Modular Transformations, Order-Chaos Transitions and Pseudo-Random Number Generation

preprint1998arXivOpen access

Abstract

Successive pairs of pseudo-random numbers generated by standard linear congruential transformations display ordered patterns of parallel lines. We study the ``ordered'' and ``chaotic'' distribution of such pairs by solving the eigenvalue problem for two-dimensional modular transformations over integers. We conjecture that the optimal uniformity for pair distribution is obtained when the slope of linear modular eigenspaces takes the value nopt=maxint(p/p−1)n_{opt} = maxint(p /\sqrt{p-1}), where pp is a prime number. We then propose a new generator of pairs of independent pseudo-random numbers, which realizes an optimal uniform distribution (in the ``statistical'' sense) of points on the unit square (0,1]×(0,1](0,1] \times (0,1]. The method can be easily generalized to the generation of kk-tuples of random numbers (with k>2k>2)

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