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The Graph Structure of the Generalized Discrete Arnold's Cat Map

2017/12/21 by Chengqing Li, Kai Meng Tan, Li, Chengqing +5 · 1 citation
Computer Science · #65P2 #Cellular Automata and Applications #Chaos-based Image/Signal Encryption #Chaotic Dynamics (nlin.CD) #Cryptographic Implementations and Security #FOS: Physical sciences

paper · pdf · doi:10.48550/arxiv.1712.07905

openalex publication_date 2017/12/21 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28

Abstract

Chaotic dynamics is an important source for generating pseudorandom binary sequences (PRNS). Much efforts have been devoted to obtaining period distribution of the generalized discrete Arnold's Cat map in various domains using all kinds of theoretical methods, including Hensel's lifting approach. Diagonalizing the transform matrix of the map, this paper gives the explicit formulation of any iteration of the generalized Cat map. Then, its real graph (cycle) structure in any binary arithmetic domain is disclosed. The subtle rules on how the cycles (itself and its distribution) change with the arithmetic precision e are elaborately investigated and proved. The regular and beautiful patterns of Cat map demonstrated in a computer adopting fixed-point arithmetics are rigorously proved and experimentally verified. The results will facilitate research on dynamics of variants of the Cap map in any domain and its effective application in cryptography. In addition, the used methodology can be used to evaluate randomness of PRNS generated by iterating any other maps.

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