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Equilibria, Lyapunov stability and asymptotic stability of an autonomous first-order system

Definition

Let n≥1, let U⊆Rn be open and let F:U→Rn be a map. Consider the autonomous first-order system

z′(t)=F(z(t)),

read as the first-order system of First-order systems, initial value problems, and solutions on intervals with D=R×U and right-hand side (t,z)↦F(z). A solution below means a solution of this system on an interval containing 0; a solution whose interval is [0,∞) or contains it is said to be defined for all t≥0.

A solution z~:J→U extends z:I→U when I⊆J and z~∣I=z; the extension is proper if I⊊J. A solution is maximal when it has no proper extension (Extensions, maximal solutions, maximal intervals, and global solutions). All stability predicates below quantify over maximal solutions whose intervals contain 0; their local restrictions remain solutions. This convention asserts neither existence nor uniqueness of maximal solutions for an arbitrary map F.

A point z∗∈U is an equilibrium (also fixed point or zero) of F when F(z∗)=0; then the constant function z(t)=z∗ is a solution on every interval containing 0.

Let z∗∈U be an equilibrium.

  1. z∗ is Lyapunov stable (or simply stable) when for every Euclidean ball Bε(z∗) with Bε(z∗)‾⊆U (Open ball, closed ball and sphere in a metric space) there is δ∈(0,ε] such that every maximal solution z with ∥z(0)−z∗∥2<δ (The Euclidean inner product ⟨x,y⟩=∑k<nxkyk on Rn) is defined for all t≥0 and satisfies

∥z(t)−z∗∥2<ε(t≥0).

  1. z∗ is asymptotically stable when it is Lyapunov stable and in addition there is δ0>0 such that every maximal solution z with ∥z(0)−z∗∥2<δ0 is defined for all t≥0 and satisfies ∥z(t)−z∗∥2→0 as t→∞.

An equilibrium which is not Lyapunov stable is unstable. An equilibrium is globally asymptotically stable when it is asymptotically stable and every maximal solution of the system is defined for all t≥0 and converges to it as t→∞.

Remarks

  • The two clauses are not equivalent. The equation z′=0 on R has every point Lyapunov stable and no point asymptotically stable. Conversely, convergence of nearby solutions to z∗ does not by itself imply stability, which is why clause 2 requires stability explicitly; a standard planar witness is recorded in Problem 6.16 of the cited source. No claim about any physical system is made by either clause.

  • The quantification in clause 1 is invariant under replacing Euclidean balls by arbitrary neighbourhoods of z∗: if the ball form holds then the neighbourhood form holds by choosing a ball inside the given neighbourhood, and conversely. Requiring Bε(z∗)‾⊆U costs no generality, because ε is only a test radius and U is open.

  • Whether the definition is non-vacuous for a given F depends on an existence theory for solutions. Under the continuity and local-Lipschitz hypotheses of Picard-Lindelof, every initial value problem has a unique maximal solution (Every Picard–Lindelöf initial value problem has one maximal solution on an open interval), and clause 1 can be read as forbidding finite-time breakdown before any boundary of the ball is reached. No such hypothesis is built into this definition.

  • Linear stability and orbital stability are defined separately in Invariant sets, orbital stability of an invariant set, and linear stability of an equilibrium; hyperbolicity, limit cycles and homoclinic trajectories in Hyperbolic equilibria, hyperbolic fixed points, periodic orbits, limit cycles and homoclinic trajectories. The stability of a limit cycle is orbital stability of its image, not Lyapunov stability of any of its points.

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