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Energy stability and instability of the mechanical model at an equilibrium: the strict minimum is Lyapunov stable, a negative Hessian eigenvalue gives linear instability, a negative definite potential Hessian gives nonlinear instability, and exact energy conservation rules out attraction

Physical scope

The stability consequences of the mechanical chart data at a mechanical equilibrium q0: a strict local minimum of the potential gives a Lyapunov stable equilibrium; a negative Hessian eigenvalue gives an unbounded solution of the associated linearised vector equation (linear instability, with no nonlinear conclusion); a negative definite Hessian (strict local maximum) makes the equilibrium unstable in the nonlinear sense through the hyperbolic instability theorem; and exact energy conservation along the model's motions prevents asymptotic stability whenever states of different energy accumulate at the equilibrium, so a strict minimum is stable but not attracting. No global stability, no asymptotic stability and no conclusion is inferred from a zero Hessian eigenvalue alone.

Statement

Let n≥1, let Ω⊆Rn be open, let M:Ω→Mn(R) be a C2 field of symmetric positive definite matrices, and let U:Ω→R be of class C2; let G be the mechanical vector field and E(q,v)=12vTM(q)v+U(q) the energy of The mechanical first-order field, Lagrangian and energy of a configuration-dependent kinetic metric in a chart. Let q0∈Ω be a mechanical equilibrium, ∇U(q0)=0, and put K:=D2U(q0) (The Hessian matrix and critical points of a scalar field, The Hessian of a C2 scalar field is symmetric). All chart data, state norms and times are numerical in the fixed reference scales of Stability vocabulary of the model: Lyapunov, asymptotic and orbital stability, linear stability of equilibria and map fixed points, and hyperbolicity of equilibria and fixed points' numerical-state convention. Fix also an energy reference Eref>0, so that physical energy is Ephys=ErefE and physical time is treft. Then:

  1. (Strict minimum.) If q0 is a strict local minimum of U, then (q0,0) is a Lyapunov stable equilibrium of G (Equilibria, Lyapunov stability and asymptotic stability of an autonomous first-order system, Stability vocabulary of the model: Lyapunov, asymptotic and orbital stability, linear stability of equilibria and map fixed points, and hyperbolicity of equilibria and fixed points clause (i)).
  2. (Linear instability from a negative eigenvalue.) If K has a negative eigenvalue (Eigenvalues, eigenvectors, eigenspaces Eλ(T)=ker⁡(T−λI), and the spectrum σF(T) of an endomorphism), then there are κ>0 and w≠0 in Rn such that Y:R→R2n, Y(t):=eκt(w,κw), solves the associated vector equation Y′=DG(q0,0)Y along the constant solution z≡(q0,0), with Y(0)=(w,κw). This vector equation is the equation for the action on an initial deviation of the normalized matrix equation A′=DG(q0,0)A, A(0)=I2n defined in The variational equation along an ODE solution; in particular (q0,0) is linearly unstable in the sense of Stability vocabulary of the model: Lyapunov, asymptotic and orbital stability, linear stability of equilibria and map fixed points, and hyperbolicity of equilibria and fixed points clause (iii).
  3. (Nonlinear instability from a negative definite Hessian.) If K is negative definite, then every complex eigenvalue of DG(q0,0) is real and nonzero, at least one is positive, and (q0,0) is unstable: it is not Lyapunov stable.
  4. (No attraction under exact energy conservation.) The energy E is constant along every maximal solution of G. If there are states z=(q,v) with ∥z−(q0,0)∥2 arbitrarily small and E(z)≠E(q0,0), then (q0,0) is not asymptotically stable. In particular, if q0 is a strict local minimum of U, then (q0,0) is Lyapunov stable but not asymptotically stable.
  5. (Scope.) A zero eigenvalue of K alone gives no stability conclusion; clause 1 still applies to strict minima with degenerate Hessians. Clause 2 gives no nonlinear conclusion when K has both a negative and a positive eigenvalue: the linearisation then also has purely imaginary eigenvalues and is not hyperbolic, so the instability theorem used in clause 3 does not apply. No global stability, no basin of attraction and no statement about the size of any neighbourhood is claimed.

Facts & Assumptions

Given: the chart data M,U,G,E, the equilibrium q0 with ∇U(q0)=0, and K=D2U(q0); the energy E is continuous on Ω×Rn, being a composition and product of the continuous maps M and U (Ck Euclidean maps and diffeomorphisms).

[L1]

Energy stability and conservation (A strict local minimum of the potential gives a Lyapunov stable equilibrium of the mechanical system, by energy conservation, Energy is conserved along solutions of the mechanical system with a configuration-dependent kinetic metric): under the chart hypotheses, a strict local minimum q0 of U makes (q0,0) a Lyapunov stable equilibrium of the mechanical field, and the energy E is constant along every maximal solution of that field.

[L2]

Linearisation and the instability theorem (Linearisation of the mechanical system at an equilibrium: M(q_0) xi'' + D²U(q_0) xi = 0, and the small-oscillation quadratic model, A hyperbolic equilibrium whose linearisation has an eigenvalue with positive real part is unstable): the mechanical field is differentiable at (q0,0) with DG(q0,0)(δq,δv)=(δv,−M(q0)−1K δq), and the linearised equation is M(q0)ξ′′+Kξ=0. If a C1 field has an equilibrium at 0 whose derivative has no eigenvalue with real part 0 and at least one eigenvalue with positive real part, then 0 is not Lyapunov stable.

[L3]

Spectral and square-root tools (Positive definite symmetric matrices have positive definite square roots, and the congruence M^{-1/2} K M^{-1/2} preserves symmetry and positivity, Real spectral theorem: a self-adjoint endomorphism of a finite-dimensional real inner product space has an orthonormal eigenbasis): M0:=M(q0) has a symmetric positive definite square root M01/2 and a symmetric positive definite inverse square root M0−1/2 with M0−1/2M0M0−1/2=In; every self-adjoint endomorphism of Rn has an orthonormal basis of eigenvectors with real eigenvalues.

[L4]

Calculus of the exponential (The exponential function is smooth and (exp⁡)′=exp⁡, The chain rule, in one line from Carathéodory: if g is differentiable at c and f is differentiable at g(c), then f∘g is differentiable at c with (f∘g)′(c)=f′(g(c)) g′(c)): the real exponential function is its own derivative, (exp⁡)′=exp⁡, and for a differentiable scalar function α the composite t↦exp⁡(α(t)) has derivative α′(t)exp⁡(α(t)).

[L5]

Matrix and vector conventions (The variational equation along an ODE solution): along the equilibrium the supplier's variational equation is A′=BA, A(0)=I2n, where B:=DG(q0,0) and A takes values in M2n(R). For a constant initial deviation u∈R2n, Y(t):=A(t)u obeys Y′=BY, Y(0)=u, by differentiating the finite sums defining matrix multiplication. We call Y′=BY with specified initial vector its associated vector equation; a vector solution is not itself a normalized matrix solution.

Proof

technique · direct
1.1givenL1

Clause 1: the chart data satisfy the hypotheses of [L1] first clause (M a C2 field of symmetric positive definite matrices, U of class C2, q0 a strict local minimum, ∇U(q0)=0); [L1] therefore gives Lyapunov stability of the equilibrium (q0,0) of the mechanical field.

1.2givenL3algebra

Clause 2, spectral reduction: put M0:=M(q0) and S:=M0−1/2KM0−1/2. By [L3] M0−1/2 is symmetric, and K is symmetric; hence ST=(M0−1/2)TKT(M0−1/2)T=S, so S is self-adjoint and [L3] second clause gives an orthonormal basis u1,…,un of Rn with Sui=λiui, λi∈R. If K has a negative eigenvalue, then some λj<0: otherwise λi≥0 for all i and, for any nonzero e with Ke=ηe, η<0, the vector c:=M01/2e is nonzero and satisfies cTSc=eTM01/2M0−1/2KM0−1/2M01/2e=η∥e∥22<0, while expansion in the orthonormal eigenbasis gives cTSc=∑iλici2≥0, a contradiction.

1.3givenL2L3algebra

Clause 3, hyperbolicity: assume K negative definite. For v≠0, vTSv=(M0−1/2v)TK(M0−1/2v)<0, so S is negative definite; hence every eigenvalue of S is negative. Let ρ∈C be a complex eigenvalue of A:=DG(q0,0) with eigenvector ζ=(a,b)≠0. By [L2] clause 1, b=ρa and −M0−1Ka=ρb=ρ2a; if a=0 then b=0, so a≠0, and with c:=M01/2a≠0 the identity Sc=−ρ2c holds because Sc=M0−1/2KM0−1/2M01/2a=M0−1/2Ka=−ρ2M01/2a=−ρ2c. Thus −ρ2 is an eigenvalue of S; as S is negative definite, −ρ2<0, that is ρ2>0, so ρ is real and nonzero. Every complex eigenvalue of A is therefore real and nonzero.

2.1step 1.2L2L4L5algebra

Clause 2, the growing solution: fix j with λj<0, put κ:=−λj>0 and w:=M0−1/2uj≠0. Then Kw=λjM0w: indeed Kw=KM0−1/2uj=M01/2M0−1/2KM0−1/2uj=M01/2Suj=λjM01/2uj=λjM0w. Define Y(t):=eκt(w,κw)∈R2n. By [L4], Y1′(t)=κeκtw=Y2(t) and Y2′(t)=κ2eκtw=−λjeκtw=−eκtM0−1Kw=−M0−1KY1(t); by clause 1 of [L2] and the convention [L5], the map Y therefore solves the associated vector equation Y′=DG(q0,0)Y with Y(0)=(w,κw). Since ∥Y(t)∥2=eκt∥(w,κw)∥2 is unbounded as t→∞, the equilibrium (q0,0) is linearly unstable.

2.2step 1.3givenL2L3algebra

Clause 3, instability: by [L3] second clause and the negativity of all eigenvalues of S, choose any eigenvalue λj<0 of S with eigenvector uj and put κ:=−λj>0, w:=M0−1/2uj. Then A(w,κw)=(κw,−M0−1Kw)=(κw,−λjw)=(κw,κ2w)=κ(w,κw), so A has the positive real eigenvalue κ. By step 1.3 no eigenvalue of A has real part 0. The associated field G is C1 in the state near the equilibrium because M is C2 and U is C2 (The mechanical first-order field, Lagrangian and energy of a configuration-dependent kinetic metric in a chart), and G(q0,0)=0. On the translated open state domain define F(y):=G((q0,0)+y), so F(0)=0 and DF(0)=A; translation preserves Euclidean distances and maximal-solution intervals. Thus [L2] second clause applies to F and shows that (q0,0) is not Lyapunov stable.

3.1step 1.1givenL1algebra∎

Clause 4: [L1] second clause gives E(z(t))=E(z(0)) along every maximal solution. Suppose (q0,0) were asymptotically stable with attracting radius δ0>0 and let z0 with ∥z0−(q0,0)∥2<δ0 and E(z0)≠E(q0,0), which exists by the clause's hypothesis. Its maximal solution is defined for all t≥0 and converges to (q0,0); by the continuity of E recorded in the Given, E(z(t))→E(q0,0), while E(z(t))=E(z0) constantly, so E(z0)=E(q0,0), a contradiction. Hence (q0,0) is not asymptotically stable. If q0 is a strict local minimum with radius r0>0, then in every radius r>0 there is q∈Ω with 0<∥q−q0∥2<min⁡(r,r0) (use n≥1 and openness); the state z0:=(q,0) satisfies E(z0)=U(q)>U(q0)=E(q0,0), so such states accumulate at the equilibrium; combining clause 1 with the first part of this clause gives a Lyapunov stable but not asymptotically stable equilibrium.

Remarks

Depends on

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