Finding steady-state solutions for ODE systems of zero, first and homogeneous second-order chemical reactions is NP-hard
Marcelo S. Reis

TL;DR
This paper proves that finding steady-state solutions for certain ODE systems modeling chemical reactions, specifically those with zero, first, and homogeneous second-order reactions, is an NP-hard problem, highlighting computational complexity challenges.
Contribution
The paper provides a self-contained proof that solving for steady states in these specific ODE systems is NP-hard, establishing a theoretical complexity barrier.
Findings
Proves NP-hardness of finding roots in NUMQ-PES systems.
Shows that approximating non-homogeneous reactions as homogeneous is computationally infeasible.
Highlights limitations in computational approaches for chemical reaction modeling.
Abstract
In the context of modeling of cell signaling pathways, a relevant step is finding steady-state solutions for ODE systems that describe the kinetics of a set of chemical reactions, especially sets composed of zero, first, and second-order reactions. To compute a steady-state solution, one must set the left-hand side of each ODE as zero, hence obtaining a system of non-negative, quadratic polynomial equations. If all second-order reactions are homogeneous in respect to their reactants, then the obtained quadratic polynomial equation system will also have univariate monomials. Although it is a well-known fact that finding a root of a quadratic polynomial equation system is a NP-hard problem, it is not so easy to find a readily available proof of NP-hardness for special cases like the aforementioned one. Therefore, we provide here a self-contained proof that finding a root of non-negative,…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsEnzyme Catalysis and Immobilization · Advanced Control Systems Optimization · Mass Spectrometry Techniques and Applications
