Random number generators are chaotic

Abstract

The study of highly unstable nonlinear dynamical systems—chaotic systems—has emerged recently as an area of major interest and applicability across the mathematical, physical and social sciences. This interest has been triggered by advances in the past decade, particularly in the mathematical understanding of complex systems. An important insight that has become widely recognized in recent years is that deterministic systems can give rise to chaotic behavior. Surprisingly, many of these systems are extremely simple, yet they exhibit complex chaotic behavior.