ISSN 2411–4448 RU mail@intsysmagazine.ru

Intelligent Systems.
Theory and Applications

(Intellektual'nye Sistemy. Teoriya i Prilozheniya)

Computational Complexity of Limit Cycle Existence in Boolean Networks Restricted by Post Classes

Abstract

The paper studies the computational complexity of detecting limit cycles of fixed length \(k\) in Boolean networks with local functions restricted to Post classes. It is proven that the problem is NP-complete for expressive classes \(D_2\) (monotone self-dual functions), \(F_6^\infty\), and \(F_2^\infty\), while polynomial-time solvable for linear functions \(L_1\). Explicit polynomial reductions from 3-SAT preserving limit cycles of length \(k\) are constructed.

Keywords: Boolean networks, limit cycles, Post lattice, computational complexity, NP-completeness.

BibTeX
@article{IS-Drobyshev2026,
  author  = {Drobyshev, Alexander Sergeevich},
  title   = {{Computational Complexity of Limit Cycle Existence in Boolean Networks Restricted by Post Classes}},
  journal = {Intelligent Systems. Theory and Applications},
  year    = {2026},
  volume  = {30},
  number  = {2},
  pages   = {28--54},
}
AMSBIB
\Bibitem{IS-Drobyshev2026}
\by A.\,S.~Drobyshev
\paper Computational Complexity of Limit Cycle Existence in Boolean Networks Restricted by Post Classes
\jour Intelligent Systems. Theory and Applications
\yr 2026
\vol 30
\issue 2
\pages 28--54
\lang In Russian
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