Exploring Maximal Length Cellular Automata to Generate Primitive Polynomials in GF(2)

dc.contributor.authorRoy, Souvik
dc.date.accessioned2026-06-17T07:25:57Z
dc.date.available2026-06-17T07:25:57Z
dc.date.issued2026-05
dc.description.abstractWe present a simple method that uses cellular automata (CAs) to find primitive polynomials over GF(2). We used maximal length CAs as tools to generate primitive polynomials. It is usually very difficult to find maximal length CAs or primitive polynomials since they require exponential time, and there is no linear time method. However, in our work, given an n-size specific sequence of CA with reasonable probability, our technique computes a cycle of length at most 2n - 1 (maximal length) in O(n) time. The characteristic polynomials of synthesized maximal length CAs are claimed to be primitive since it was previously established that the characteristic polynomial of a maximal length CA is primitive. © 2026 Binghamton University Libraries. All rights reserved.
dc.identifier.citationAdak, S., Deb, S., Ghosh, A., Roy, A., & Roy, Souvik (2026). Exploring Maximal Length Cellular Automata to Generate Primitive Polynomials in GF(2). Northeast Journal of Complex Systems, 8(3). Scopus. https://doi.org/10.63562/2577-8439.1145
dc.identifier.doihttps://doi.org/10.63562/2577-8439.1145
dc.identifier.issn2577-8439
dc.identifier.urihttps://ir.ahduni.edu.in/handle/123456789/6862
dc.language.isoen
dc.publisherBinghamton University Libraries
dc.schoolSchool of Engineering and Applied Science
dc.sourceNortheast Journal of Complex Systems
dc.subjectCellular Automata (CAs)
dc.subjectCycle length
dc.subjectMaximal length CAs
dc.subjectPrimitive polynomials
dc.titleExploring Maximal Length Cellular Automata to Generate Primitive Polynomials in GF(2)
dc.typeJournal Article

Files

Collections