Skip to main navigation Skip to search Skip to main content

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

  • Sumit Adak
  • , Subhrajit Deb
  • , Anurag Ghosh
  • , Angshuman Roy
  • , Souvik Roy
  • Indian Institute of Engineering Science and Technology, Shibpu
  • Ahmedabad University

Research output: Contribution to journal › Journal article › Research › peer-review

4 Downloads (Orbit)

Abstract

We 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.
Original languageEnglish
Article number3
JournalNortheast Journal of Complex Systems
Volume8
Issue number3
Number of pages15
ISSN2577-8439
DOIs
Publication statusPublished - 2026

Keywords

  • Cellular Automata (CAs)
  • Cycle length
  • Maximal length CAs
  • Primitive polynomials
  • Rule

Fingerprint

Dive into the research topics of 'Exploring Maximal Length Cellular Automata to Generate Primitive Polynomials in GF(2)'. Together they form a unique fingerprint.

Cite this