Exact behavior of the critical Kauffman model with connectivity one

The critical Kauffman model with connectivity one is the simplest class of critical Boolean networks. Nevertheless, it exhibits intricate behavior at the boundary of order and chaos. We show that the model is equivalent to a deceptively simple algebraic system of polynomials which count the number and length of cycles. The polynomial for multiple loops is the product of the polynomials for individual loops. Using this perspective, we prove that the number of cycles scales as <a:math xmlns:a="http://www.w3.org/1998/Math/MathML"><a:msup><a:mn>2</a:mn><a:mi>m</a:mi></a:msup></a:math>, where <b:math xmlns:b="http://www.w3.org/1998/Math/MathML"><b:mi>m</b:mi></b:math> is the number of nodes in loops—as fast as possible and faster than previously believed. Published by the American Physical Society 2024

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Journal
Physical Review Research
Published
2024-12-26
DOI
https://doi.org/10.1103/physrevresearch.6.043315
Primary Topic
Gene Regulatory Network Analysis
Type
article
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article

Exact behavior of the critical Kauffman model with connectivity one

T. M. A. Fink
Physical Review Research
Gene Regulatory Network Analysis
article

Exact behavior of the critical Kauffman model with connectivity one

T. M. A. Fink
article en

Abstract

The critical Kauffman model with connectivity one is the simplest class of critical Boolean networks. Nevertheless, it exhibits intricate behavior at the boundary of order and chaos. We show that the model is equivalent to a deceptively simple algebraic system of polynomials which count the number and length of cycles. The polynomial for multiple loops is the product of the polynomials for individual loops. Using this perspective, we prove that the number of cycles scales as <a:math xmlns:a="http://www.w3.org/1998/Math/MathML"><a:msup><a:mn>2</a:mn><a:mi>m</a:mi></a:msup></a:math>, where <b:math xmlns:b="http://www.w3.org/1998/Math/MathML"><b:mi>m</b:mi></b:math> is the number of nodes in loops—as fast as possible and faster than previously believed. Published by the American Physical Society 2024

Physical Review ResearchVol. 6(4)
Royal Institution of Great Britain (GB), London Institute for Mathematical Sciences (GB)
Openalex Percentile: Top 79%
Gene Regulatory Network Analysis
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