Geometry of the signed support of a multivariate polynomial and Descartes' rule of signs
Máté L. Telek
TL;DR
This work extends Descartes' rule of signs to multivariate signomials by leveraging the signed support and the Newton polytope geometry to bound the number of negative connected components of $f^{-1}(\mathbb{R}_{<0})$ on $\mathbb{R}^n_{>0}$. It develops a geometric framework based on separating and enclosing hyperplanes, introduces reductions to Newton polytope faces, and presents a recursive algorithm that certifies connectivity under concrete conditions. The methods are applied to reaction networks, proving the parameter region for multistationarity is connected for both weakly and strongly irreversible phosphorylation cycles (with results for specific $m$ and ongoing work toward general $m$). Overall, the paper provides a practical, geometry-driven approach to assess global connectivity properties of semi-algebraic parameter spaces in dynamical systems.
Abstract
We investigate the signed support, that is, the set of the exponent vectors and the signs of the coefficients, of a multivariate polynomial $f$. We describe conditions on the signed support ensuring that the semi-algebraic set, denoted as $\{ f < 0 \}$, containing points in the positive real orthant where $f$ takes negative values, has at most one connected component. These results generalize Descartes' rule of signs in the sense that they provide a bound which is independent of the values of the coefficients and the degree of the polynomial. Based on how the exponent vectors lie on the faces of the Newton polytope, we give a recursive algorithm that verifies a sufficient condition for the set $\{ f < 0 \}$ to have one connected component. We apply the algorithm to reaction networks in order to prove that the parameter region of multistationarity of a ubiquitous network comprising phosphorylation cycles is connected.
