# A robust Lyapunov criterion for non-oscillatory behaviors in biological interaction networks

arXiv: https://arxiv.org/abs/2009.10702 · HTML: https://mlsanity.com/paper/2009.10702/

## Key facts

- Cited by 1 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 22 Sep 2020.

## Built on by (most cited first, 1 of 1)

- [Automatic Implementation of Neural Networks through Reaction Networks -- Part I: Circuit Design and Convergence Analysis](https://mlsanity.com/paper/2311.18313/) (2023)

## Abstract (arXiv)

We introduce the notion of non-oscillation, propose a constructive method for its robust verification, and study its application to biological interaction networks (also known as, chemical reaction networks). We begin by revisiting Muldowney's result on non-existence of periodic solutions based on the study of the variational system of the second additive compound of the Jacobian of a nonlinear system. We show that exponential stability of the latter rules out limit cycles, quasi-periodic solutions, and broad classes of oscillatory behavior. We focus then on nonlinear equations arising in biological interaction networks with general kinetics, and we show that the dynamics of the aforementioned variational system can be embedded in a linear differential inclusion. We then propose algorithms for constructing piecewise linear Lyapunov functions to certify global robust non-oscillatory behavior. Finally, we apply our techniques to study several regulated enzymatic cycles where available methods are not able to provide any information about their qualitative global behavior.