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Linearization of the torque-free Euler system at a principal-axis spin, and the oscillatory/exponential dichotomy

Statement

Let I1,I2,I3>0 be pairwise distinct, let I:R3→R3 be the linear map with Iej=Ijej on the standard orthonormal basis, and let I−1 denote its inverse, given by I−1ej=Ij−1ej. Define the formal torque-free Euler vector field F(ω):=−I−1(ω×Iω),ω∈R3. When I is an actual rigid-body inertia map written in a principal basis, this is the angular-velocity vector field obtained from Euler's equations Iω′+ω×Iω=RTτ under an adopted torque balance, and the torque-free invariants and principal-axis equations. Here the positive diagonal entries are otherwise arbitrary; no realization by a mass distribution is assumed. Let Ω≠0. Then:

  1. F(Ωe3)=0, and for every δ∈R3 F(Ωe3+δ)=Aδ+R(δ),(Aδ)1=Ω(I2−I3)I1δ2,(Aδ)2=Ω(I3−I1)I2δ1,(Aδ)3=0, where ∥R(δ)∥2≤C∥δ∥22 for the explicit constant C:=∥I−1∥F∥I∥F and ∥M∥F:=(∑j,kMjk2)1/2; consequently A is the total derivative of F at Ωe3 (The total (Fréchet) derivative Df(a) as the linear first-order approximation with o(∥h∥2) remainder).
  2. Every solution of the linear system δ′=Aδ on R has δ3 constant, and with λ:=Ω2(I2−I3)(I3−I1)I1I2≠0 the pair (δ1,δ2) is determined by its initial value as follows:
    • if λ<0, then with κ:=−λ>0, δ1(t)=δ1(0)cos⁡(κt)+Ω(I2−I3)I1κδ2(0)sin⁡(κt),δ2(t)=δ2(0)cos⁡(κt)+Ω(I3−I1)I2κδ1(0)sin⁡(κt), and every solution is bounded on [0,∞);
    • if λ>0, then the same two formulas hold with cosh⁡ and sinh⁡ in place of cos⁡ and sin⁡ and κ:=λ, the system has unbounded solutions (for instance δ2(0)=0, δ1(0)≠0), and if δ1(0)+Ω(I2−I3)I1κδ2(0)≠0 then ∥δ(t)∥2→+∞ as t→+∞.
  3. Hence the linearization at the spin Ωe3 is oscillatory exactly when (I2−I3)(I3−I1)<0, i.e. when the third principal moment is a largest or a smallest moment, and it has exponentially growing solutions exactly when λ>0, i.e. when I3 lies strictly between I1 and I2; in the latter case the zero solution of the linear system is not stable.

Facts & Assumptions

Given: Pairwise distinct positive reals I1,I2,I3, the diagonal map I, the field F(ω)=−I−1(ω×Iω) and a real Ω≠0.

[L1]

Every x∈R3 has a unique expansion x=∑j=13xjej by the standard-basis result (The standard list e:n→Fn with ei(i)=1F and ei(j)=0F for j≠i is an ordered basis of Fn; hence dim⁡FFn=n, and F0 is the zero space with basis ∅ and dimension 0). Define S(x):=∑j=13(xj/Ij)ej; it is linear and direct substitution gives SI=IS=Id⁡, so S is the inverse linear map of I (Linear map between vector spaces over the same field, Invertible linear maps, linear isomorphisms, and inverse linear maps). The cross product is bilinear with coordinate formula (u×v)1=u2v3−u3v2 and cyclic analogues, and ∥u×v∥2≤∥u∥2∥v∥2 (The cross product in R3, The squared cross-product norm is the Gram determinant of two vectors).

[L2]
[L3]

A is a linear map with Aδ=(Ω(I2−I3)δ2/I1, Ω(I3−I1)δ1/I2, 0); a linear map is totally differentiable at every point with itself as total derivative, and a bound ∥F(ω0+δ)−F(ω0)−Aδ∥2≤C∥δ∥22 exhibits A as the total derivative by the definition The total (Fréchet) derivative Df(a) as the linear first-order approximation with o(∥h∥2) remainder.

[L4]

The first-order linear system z′=Az is locally Lipschitz in the state variable and has unique solutions with prescribed initial data; the same holds for z′=Az+b Local Lipschitz continuity in the state variable, locally uniform in time and parameters, Picard-Lindelöf local existence and uniqueness for first-order systems, First-order systems, initial value problems, and solutions on intervals.

[L6]

cosh⁡t=(et+e−t)/2 and sinh⁡t=(et−e−t)/2; the exponential is strictly increasing with image (0,+∞) The six hyperbolic functions and their natural domains, The exponential function is strictly increasing, The exponential is a continuous bijection from R onto (0,∞).

Proof

technique · direct
1.1givenL1algebra

Expanding with [L1], (Ωe3+δ)×I(Ωe3+δ)=Ωe3×Iδ+ΩI3 δ×e3+δ×Iδ, and e3×Iδ=I1δ1e2−I2δ2e1 while δ×e3=δ2e1−δ1e2; collecting components gives (Ωe3+δ)×I(Ωe3+δ)=Ω(I3−I2)δ2e1+Ω(I1−I3)δ1e2+δ×Iδ. Applying −I−1 and [L1] yields F(Ωe3+δ)=Aδ−I−1(δ×Iδ) with A as displayed, and F(Ωe3)=A⋅0=0.

1.2givenL4algebra

Let δ solve δ′=Aδ. The third equation gives δ3′=0, so δ3 is constant; the first two equations read δ1′=cδ2, δ2′=dδ1 with c=Ω(I2−I3)/I1≠0 and d=Ω(I3−I1)/I2≠0 by distinctness and Ω≠0, so δ1′′=cd δ1=λδ1 and δ2=δ1′/c; conversely every solution of x′′=λx produces the solution δ=(x,x′/c,const).

2.1step 1.1givenL2L3

The remainder satisfies ∥I−1(δ×Iδ)∥2≤∥I−1∥F∥δ∥2∥Iδ∥2≤∥I−1∥F∥I∥F∥δ∥22 by [L1] and two applications of [L2]; hence R(δ):=−I−1(δ×Iδ) obeys the bound of clause 1 with C=∥I−1∥F∥I∥F, and A is the total derivative of F at Ωe3 by [L3].

2.2step 1.2givenL4L5algebra

Suppose λ<0 and put κ=−λ. The function x(t):=x(0)cos⁡(κt)+(x′(0)/κ)sin⁡(κt) satisfies x′′=−κ2x=λx by the derivative formulas and chain rule [L5]; the pair (x,x′) solves the first-order system (x,x′)′=(x′,λx), which is locally Lipschitz, so by uniqueness [L4] it is the solution with the given initial data. Taking x=δ1 and using δ2=δ1′/c, δ1′(0)=cδ2(0), gives δ1(t)=δ1(0)cos⁡(κt)+(c δ2(0)/κ)sin⁡(κt) and δ2(t)=δ2(0)cos⁡(κt)−(κ/c)δ1(0)sin⁡(κt); substituting c=Ω(I2−I3)/I1, κ2=−Ω2(I2−I3)(I3−I1)/(I1I2) and κ/c=−Ω(I3−I1)/(I2κ) gives the two displayed formulas. Boundedness follows from ∣sin⁡∣,∣cos⁡∣≤1 [L5].

2.3step 1.2givenL4L5algebra

Suppose λ>0 and put κ=λ. The same argument with cosh⁡,sinh⁡ in place of cos⁡,sin⁡ verifies the two displayed formulas: x(t)=x(0)cosh⁡(κt)+(x′(0)/κ)sinh⁡(κt) satisfies x′′=κ2x by [L5], and uniqueness [L4] identifies it as the solution.

3.1step 2.3givenL6algebra

Let λ>0 and set A0:=δ1(0), B0:=c δ2(0)/κ, so that δ1(t)=A0cosh⁡(κt)+B0sinh⁡(κt)=12(A0+B0)eκt+12(A0−B0)e−κt by [L6]. If A0+B0≠0 then ∣δ1(t)∣≥12∣A0+B0∣eκt−12∣A0−B0∣e−κt→+∞ as t→+∞, because eκt→+∞ and e−κt→0 [L6]; since A0+B0=δ1(0)+cδ2(0)/κ, this is the growth criterion of clause 2, and the choice δ2(0)=0≠δ1(0) satisfies it, so the system has unbounded solutions and clause 3 follows.

4.1step 2.22.33.1givenalgebra∎

Finally the sign of λ is the sign of (I2−I3)(I3−I1) because Ω2/(I1I2)>0; this vanishes exactly when I3 equals I1 or I2, which distinctness excludes, so λ≠0, and λ<0 exactly for extreme, λ>0 exactly for intermediate I3, completing the sign criterion. In the intermediate case, for every δ>0 choose 0<η<min⁡{δ,1} and initial data ηe1. Step 3.1 gives an unbounded solution with initial norm η; by continuity it reaches norm 1 at some t>0. Thus the fixed ε=1 violates the stability condition for every δ, proving that the zero solution is not Lyapunov stable (Equilibria, Lyapunov stability and asymptotic stability of an autonomous first-order system) and completing clause 3.

Depends on

Dependency tree · 2 levels

Sources