On Algebraic Proofs of Stability for Homogeneous Vector Fields
Amir Ali Ahmadi, Bachir El Khadir

TL;DR
This paper proves that asymptotically stable homogeneous vector fields admit rational Lyapunov functions, and explores the algebraic and computational aspects of constructing such functions, including limitations and advantages over polynomial Lyapunov functions.
Contribution
It establishes the existence of rational Lyapunov functions for stable homogeneous vector fields and connects sum of squares certificates with semidefinite programming, extending classical stability results.
Findings
Stable homogeneous vector fields have rational Lyapunov functions.
Sum of squares certificates enable semidefinite programming for polynomial cases.
Limitations include non-existence of global rational Lyapunov functions without homogeneity.
Abstract
We prove that if a homogeneous, continuously differentiable vector field is asymptotically stable, then it admits a Lyapunov function which is the ratio of two polynomials (i.e., a rational function). We further show that when the vector field is polynomial, the Lyapunov inequalities on both the rational function and its derivative have sum of squares certificates and hence such a Lyapunov function can always be found by semidefinite programming. This generalizes the classical fact that an asymptotically stable linear system admits a quadratic Lyapunov function which satisfies a certain linear matrix inequality. In addition to homogeneous vector fields, the result can be useful for showing local asymptotic stability of non-homogeneous systems by proving asymptotic stability of their lowest order homogeneous component. This paper also includes some negative results: We show that (i) in…
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