Abstract

Sequential dynamical systems (SDSs) are discrete dynamical systems that are obtained from the following data: (a) a finite (labeled) graph Y with vertex set {1,…, n} where each vertex has a binary state, (b) a vertex labeled sequence of functions (F i,Y: F 2 n→ F 2 n) i and (c) a permutation π∈ S n . The function F i, Y updates the binary state of vertex i as a function of the states of vertex i and its Y-neighbors and leaves the states of all other vertices fixed. The permutation π represents a Y-vertex ordering according to which the functions F i, Y are applied. By composing the functions F i, Y in the order given by π we obtain the SDS F Y,π =∏ i=1 nF π(i),Y: F 2 n→ F 2 n. In this paper we will generalize a class of results on SDS that have been proven for symmetric Boolean (local) functions to quasi-symmetric local functions. Further, we completely classify invertible SDS and investigate fixed points of sequential and parallel cellular automata (CA). Finally, we show sharpness of a combinatorial upper bound for the number of non-equivalent SDS that can be obtained through rescheduling for a certain class of graphs.

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