How statement and proof provenance work
The first chip identifies the source of the statement or construction; the second identifies the source of its local proof or verification.
- Literature-sourced: the exact statement appears in a cited source; only wording and notation differ.
- AI-adapted: a semantically identical restatement of literature-sourced material, modulo indexing, notation, and boundary cases adopted by the library.
- AI-generated: a genuinely novel statement formulated by AI, with no source for the claim itself.
These labels describe origin, not correctness: citations and verification chips remain separate evidence.
A non-hyperbolic equilibrium with no positive eigenvalue can still be unstable: x'=x^3
Statement refuted
If is with and no eigenvalue of has positive real part, then is a Lyapunov stable equilibrium of .
Facts & Assumptions
Given: The function , , and its initial value problem .
The equilibrium notion and Lyapunov stability of an equilibrium of are defined in The local flow of an autonomous first-order system-based terms by Equilibria, Lyapunov stability and asymptotic stability of an autonomous first-order system: is stable when for every there is such that every maximal solution with is defined for all and satisfies for all .
Every initial value problem satisfying the Picard-Lindelöf hypotheses has a unique maximal solution, and every solution through the same data is its restriction (Every Picard–Lindelöf initial value problem has one maximal solution on an open interval, Extensions, maximal solutions, maximal intervals, and global solutions, First-order systems, initial value problems, and solutions on intervals).
For real , on is continuous and has derivative (Continuity and derivatives of positive-base real powers). The polynomial is with derivative , so ( Euclidean maps and diffeomorphisms, The derivative of at a point that is a limit point of , and differentiability on a set, Sums, scalar multiples, products and quotients: , , , and when , The chain rule for total derivatives: ); the eigenvalue of has real part , and no eigenvalue has positive real part.
Counterexample
satisfies and by [L3], so the hypothesis of the refuted statement is satisfied with .
Let and define on . Differentiating the power using the chain rule and the algebra of derivatives, for , and ; hence is a solution on of the initial value problem.
By [L2] the solution of step 1.2 is the restriction of the unique maximal solution through . As the quantity tends to from above, so ; in particular the maximal solution is not defined at and therefore is not defined for all .
Instability: given any , choose . The maximal solution through is not defined for all by step 2.1, so the defining condition of stability in [L1] fails for every : there is no that keeps all maximal solutions with defined for all time. Hence is not Lyapunov stable, refuting the statement.
Remarks
-
The example shows that the hypothesis "no eigenvalue with positive real part" alone cannot replace hyperbolicity in An equilibrium whose linearisation has all eigenvalues in the open left half-plane is locally exponentially stable or A hyperbolic equilibrium whose linearisation has an eigenvalue with positive real part is unstable, both of which assume a spectral gap at the imaginary axis. Here the derivative vanishes identically at the equilibrium, so the linearisation carries no information about the nonlinear behaviour.
-
With the opposite sign, has and the solutions are defined for all and decay to like ; thus an equilibrium with zero linear part can also be asymptotically stable. The decay is not exponential, so even asymptotic stability does not upgrade to the exponential conclusion of the hyperbolic theorem; no statement about any physical system is made by this example.
Depends on
The local flow of an autonomous first-order system
Equilibria, Lyapunov stability and asymptotic stability of an autonomous first-order system
Every Picard–Lindelöf initial value problem has one maximal solution on an open interval
Extensions, maximal solutions, maximal intervals, and global solutions
First-order systems, initial value problems, and solutions on intervals
Euclidean maps and diffeomorphisms
The chain rule for total derivatives:
The derivative of at a point that is a limit point of , and differentiability on a set
Sums, scalar multiples, products and quotients: , , , and when
Continuity and derivatives of positive-base real powers
Dependency tree · 2 levels
Sources
- F. Ramponi, Notes on Lyapunov's theorem, final page: the counterexamples x' = -x^2 and x' = x^2 with linearisation zero, showing that stability cannot be decided from the linearisation when eigenvalues have zero real part
- G. Teschl, Ordinary Differential Equations and Dynamical Systems (AMS Graduate Studies in Mathematics 140, online edition), Problem 6.16 and Section 6.5 (stability and instability of fixed points), printed pages 198-200