A PROOF OF THE GLOBAL ATTRACTOR CONJECTURE IN THE SINGLE LINKAGE CLASS CASE

This paper is concerned with the dynamical properties of deterministically modeled chemical reaction systems. Specifically, this paper provides a proof of the Global Attractor Conjecture in the setting where the underlying reaction diagram consists of a single linkage class, or connected component....

Full description

Saved in:
Bibliographic Details
Published in:SIAM journal on applied mathematics Vol. 71; no. 4; pp. 1487 - 1508
Main Author: ANDERSON, DAVID F.
Format: Journal Article
Language:English
Published: Philadelphia Society for Industrial and Applied Mathematics 01-01-2011
Subjects:
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:This paper is concerned with the dynamical properties of deterministically modeled chemical reaction systems. Specifically, this paper provides a proof of the Global Attractor Conjecture in the setting where the underlying reaction diagram consists of a single linkage class, or connected component. The conjecture dates back to the early 1970s and is the most well-known and important open problem in the field of chemical reaction network theory. The resolution of the conjecture has important biological and mathematical implications in both the deterministic and stochastic settings. One of our main analytical tools, which is introduced here, will be a method for partitioning the relevant monomials of the dynamical system along sequences of trajectory points into classes with comparable growths. We will use this method to conclude that if a trajectory converges to the boundary, then a whole family of Lyapunov functions decrease along the trajectory. This will allow us to overcome the fact that the usual Lyapunov functions of chemical reaction network theory are bounded on the boundary of the positive orthant, which has been the technical sticking point to a proof of the Global Attractor Conjecture in the past.
ISSN:0036-1399
1095-712X
DOI:10.1137/11082631x