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83 \title{Random Walk in a N-cube Without Hamiltonian Cycle
84 to Chaotic Pseudorandom Number Generation: Theoretical and Practical
89 \author{Sylvain Contassot-Vivier, Jean-François Couchot, Christophe Guyeux, Pierre-Cyrille Heam}
90 \address{LORIA, Université de Lorraine, Nancy, France\\
91 FEMTO-ST Institute, University of Franche-Comté, Belfort, France}
93 \keywords{Pseudorandom Number Generator, Theory of Chaos, Markov Matrice, Hamiltonian Path, Stopping Time, Statistical Test}
95 \subjclass{34C28, 37A25,11K45}
98 This paper is dedicated to the design of chaotic random generators
99 and extends previous works proposed by some of the authors.
100 We propose a theoretical framework proving both the chaotic properties and
101 that the limit distribution is uniform.
102 A theoretical bound on the stationary time is given and
103 practical experiments show that the generators successfully pass
104 the classical statistical tests.
109 \section{Introduction}
112 \section{Preliminaries}\label{sec:preliminaries}
113 \input{preliminaries}
115 \section{Proof Of Chaos}\label{sec:proofOfChaos}
118 \section{Functions with Strongly Connected $\Gamma_{\{b\}}(f)$}\label{sec:SCCfunc}
121 \section{Balanced Hamiltonian Cycle}\label{sec:hamilton}
125 \section{Stopping Time}\label{sec:hypercube}
128 \section{Experiments}\label{sec:prng}
136 %\acknowledgements{...}
138 \bibliographystyle{alpha}
139 \bibliography{biblio}