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Linearization of the torque-free Euler system at a principal-axis spin, and the oscillatory/exponential dichotomy
Statement
Let be pairwise distinct, let be the linear map with on the standard orthonormal basis, and let denote its inverse, given by . Define the formal torque-free Euler vector field When is an actual rigid-body inertia map written in a principal basis, this is the angular-velocity vector field obtained from Euler's equations 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 . Then:
- , and for every where for the explicit constant and ; consequently is the total derivative of at (The total (Fréchet) derivative as the linear first-order approximation with remainder).
- Every solution of the linear system on has constant, and with the pair is determined by its initial value as follows:
- if , then with , and every solution is bounded on ;
- if , then the same two formulas hold with and in place of and and , the system has unbounded solutions (for instance , ), and if then as .
- Hence the linearization at the spin is oscillatory exactly when , i.e. when the third principal moment is a largest or a smallest moment, and it has exponentially growing solutions exactly when , i.e. when lies strictly between and ; in the latter case the zero solution of the linear system is not stable.
Facts & Assumptions
Given: Pairwise distinct positive reals , the diagonal map , the field and a real .
Every has a unique expansion by the standard-basis result (The standard list with and for is an ordered basis of ; hence , and is the zero space with basis and dimension ). Define ; it is linear and direct substitution gives , so is the inverse linear map of (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 and cyclic analogues, and (The cross product in , The squared cross-product norm is the Gram determinant of two vectors).
For a matrix , with : this is the row-by-row Cauchy-Schwarz inequality Cauchy-Schwarz with its equality case, the triangle inequality for , the parallelogram law and polarisation, Rectangular matrix multiplication and the identity matrix , including zero-sized shapes.
is a linear map with ; a linear map is totally differentiable at every point with itself as total derivative, and a bound exhibits as the total derivative by the definition The total (Fréchet) derivative as the linear first-order approximation with remainder.
The first-order linear system is locally Lipschitz in the state variable and has unique solutions with prescribed initial data; the same holds for 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.
Derivatives: , ; , ; the chain and sum rules hold; and The derivatives of sine and cosine are cosine and minus sine, Addition formulas, identities, parity, and derivatives of the hyperbolic functions, Sums, scalar multiples, products and quotients: , , , and when , The chain rule, in one line from Carathéodory: if is differentiable at and is differentiable at , then is differentiable at with , Signs, monotonicity intervals, and ranges of sine and cosine.
and ; the exponential is strictly increasing with image The six hyperbolic functions and their natural domains, The exponential function is strictly increasing, The exponential is a continuous bijection from onto .
Proof
Expanding with [L1], , and while ; collecting components gives . Applying and [L1] yields with as displayed, and .
Let solve . The third equation gives , so is constant; the first two equations read , with and by distinctness and , so and ; conversely every solution of produces the solution .
The remainder satisfies by [L1] and two applications of [L2]; hence obeys the bound of clause 1 with , and is the total derivative of at by [L3].
Suppose and put . The function satisfies by the derivative formulas and chain rule [L5]; the pair solves the first-order system , which is locally Lipschitz, so by uniqueness [L4] it is the solution with the given initial data. Taking and using , , gives and ; substituting , and gives the two displayed formulas. Boundedness follows from [L5].
Suppose and put . The same argument with in place of verifies the two displayed formulas: satisfies by [L5], and uniqueness [L4] identifies it as the solution.
Let and set , , so that by [L6]. If then as , because and [L6]; since , this is the growth criterion of clause 2, and the choice satisfies it, so the system has unbounded solutions and clause 3 follows.
Finally the sign of is the sign of because ; this vanishes exactly when equals or , which distinctness excludes, so , and exactly for extreme, exactly for intermediate , completing the sign criterion. In the intermediate case, for every choose and initial data . Step 3.1 gives an unbounded solution with initial norm ; by continuity it reaches norm at some . Thus the fixed violates the stability condition for every , 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
Equilibria, Lyapunov stability and asymptotic stability of an autonomous first-order system
Euler's equations under an adopted torque balance, and the torque-free invariants and principal-axis equations
Linear map between vector spaces over the same field
Invertible linear maps, linear isomorphisms, and inverse linear maps
The standard list with and for is an ordered basis of ; hence , and is the zero space with basis and dimension
The total (Fréchet) derivative as the linear first-order approximation with remainder
Picard-Lindelöf local existence and uniqueness for first-order systems
Local Lipschitz continuity in the state variable, locally uniform in time and parameters
First-order systems, initial value problems, and solutions on intervals
The cross product in
The squared cross-product norm is the Gram determinant of two vectors
Cauchy-Schwarz with its equality case, the triangle inequality for , the parallelogram law and polarisation
Sums, scalar multiples, products and quotients: , , , and when
The chain rule, in one line from Carathéodory: if is differentiable at and is differentiable at , then is differentiable at with
The derivatives of sine and cosine are cosine and minus sine
Addition formulas, identities, parity, and derivatives of the hyperbolic functions
The six hyperbolic functions and their natural domains
Signs, monotonicity intervals, and ranges of sine and cosine
The exponential is a continuous bijection from onto
The exponential function is strictly increasing
Rectangular matrix multiplication and the identity matrix , including zero-sized shapes
The Euclidean inner product on
Real and complex inner product spaces, with the inner product linear in the first argument
The derivative of at a point that is a limit point of , and differentiability on a set
Intervals of : the nine order-convex forms, nondegeneracy, and length
Dependency tree · 2 levels
Sources
- D. Tong, Classical Dynamics (Cambridge lecture notes, 2015), §3.4.3, Eqs. (3.41)-(3.45), printed pp. 57-58: perturbation of a principal-axis spin, the linearized equations and the sign criterion for oscillation versus exponential growth
- G. J. Sussman and J. Wisdom, Structure and Interpretation of Classical Mechanics, 2nd ed. (MIT Press, 2014), §§2.8.2-2.9: linear behaviour near principal-axis spins