Abstract
In the theory of classical systems, linear concepts play a fundamental role for at least two reasons: (a) they are usually about the only ones that admit a satisfactory mathematical analysis; and (b) nonlinear systems can usually be studied through linear approximations. At least part (a) has been true in the study of cellular automata. Emerging evidence suggests that (b) may bear some truth as well. In this chapter we introduce linear cellular automata and study their basic properties. We assume, as usual, that the nodes in the center cell‘s neighborhood N have been numbered in a fixed (but arbitrary) order x 1… x 2… x n and that N . denotes N expanded to include the center cell.
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Of two valid explanations, the simpler one will prevail. A version of Occam‘s razor
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Garzon, M. (1995). Linear Cellular Automata. In: Models of Massive Parallelism. Texts in Theoretical Computer Science. An EATCS Series. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-77905-3_3
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DOI: https://doi.org/10.1007/978-3-642-77905-3_3
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