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Principal axes and principal moments of the inertia data of a rigid-material model, axis moments and extremal values

Physical scope

The principal-axis structure of the inertia data of the rigid-material model branch of Adoption of the rigid-material model branch: reference mass distribution, rigid placements, orientation and scope: existence of an orthonormal principal basis with real principal moments, the identification of the quadratic form with the moment of inertia about an axis (body-fixed and spatial versions), the vanishing and positivity criteria for degenerate and nondegenerate mass distributions, and the extremal character of the largest and smallest principal moments. The identities are conditional on the model data and the countable-choice assumption used only for finiteness of the integrals. No measured inertia, no dynamics and no claim about any concrete body is asserted.

Statement

Assume the Axiom of Countable Choice ACω (The Axiom of Countable Choice (ACω)), used only to make the integrals finite. Adopt the model of Adoption of the rigid-material model branch: reference mass distribution, rigid placements, orientation and scope and its inertia data (Inertia matrix, spatial inertia tensor, inertia tensor about a point and moment of inertia about an axis of a rigid-material model): the reference mass distribution ν with total mass m and centred reference coordinates, the body inertia matrix I, the spatial inertia tensor I(t)=R(t)IR(t)T of a motion x(t,ρ)=c(t)+R(t)ρ, and the inertia tensor I(t,p) about a spatial point p (Configuration, configuration space and orientation of a rigid-material model in an inertial frame). Then:

(a) Principal basis. There is an orthonormal basis (e1,e2,e3) of R3 and real numbers I1,I2,I3, the principal axes and principal moments of the model, with Iej=Ijej(j=1,2,3).

(b) Quadratic form and rotational term. For every ω=∑jωjej∈R3 one has Iω=∑jIjωjej and ωTIω=∑jIjωj2=∫∥ω×ρ∥22 dν(ρ) ≥0, and each principal moment is Ij=ejTIej=∫∥ej×ρ∥22 dν(ρ).

(c) Axis moments. For every unit vector n∈R3, nTIn=∫∥n×ρ∥22 dν(ρ); for every spatial point p and unit vector n, with x=x(t,⋅) the placement at time t, nTI(t,p)n=∫∥n×(x(t,ρ)−p)∥22 dν(ρ). Consequently the number Θℓ(t)=nTI(t,p)n of Inertia matrix, spatial inertia tensor, inertia tensor about a point and moment of inertia about an axis of a rigid-material model depends only on the spatial line ℓ {p+sn:s∈R} and not on the choice of the point p on it nor on the sign of the unit direction n.

(d) Vanishing and positivity. Each principal moment satisfies Ij≥0, and Ij=0 exactly when ν is supported on the line Rej of the principal axis, that is ν(R3∖Rej)=0. If the model is nondegenerate, that is if ν(R3∖Rω)>0 for every ω≠0, then every Ij>0 and I is invertible. If ν is supported on some line through the origin (such a line exists whenever the support of a centred ν is contained in a line, because the mean of ν is the origin), then I is not invertible.

(e) Extremal moments. For every unit vector n=∑jcjej one has nTIn=∑jIjcj2 and therefore min⁡jIj ≤ nTIn ≤ max⁡jIj, with the value max⁡jIj attained at a unit eigenvector for a maximal principal moment and the value min⁡jIj attained at a unit eigenvector for a minimal principal moment. Hence the largest and smallest principal moments are the maximum and minimum of the rotational-inertia quadratic form over the unit sphere.

The identities are conditional on the model data and the stated choice assumption; no equation of motion and no conservation statement is used or asserted.

Facts & Assumptions

Given: The model data and inertia data of Adoption of the rigid-material model branch: reference mass distribution, rigid placements, orientation and scope and Inertia matrix, spatial inertia tensor, inertia tensor about a point and moment of inertia about an axis of a rigid-material model, a motion x(t,ρ)=c(t)+R(t)ρ with C2 configuration path, a time t∈I0, vectors ω,n∈R3 with ∥n∥2=1, and a spatial point p.

[L1]

Mathematical supplier, principal axes (Principal axes and principal moments of the inertia matrix, and positivity in the nondegenerate case clauses 1-2): there is an orthonormal basis (e1,e2,e3) with Iej=Ijej, Ij∈R; for ω=∑jωjej one has Iω=∑jIjωjej, Ij=ejTIej and ωTIω=∑jIjωj2=∫∥ω×ρ∥22 dν.

[L2]

Mathematical supplier, symmetry and quadratic identity (Symmetry, the quadratic identity ωTIω=∫∥ω×ρ∥22 dν, and the positive-definiteness criterion for the inertia matrix clauses 1-2): I is symmetric, and ωTIω=∫∥ω×ρ∥22 dν≥0 for every ω, so the quadratic form is positive semidefinite.

[L3]

The shifted tensor and its definition (The inertia tensor of a finite bounded Borel measure about any point of R3, Inertia matrix, spatial inertia tensor, inertia tensor about a point and moment of inertia about an axis of a rigid-material model): for a∈R3, Iν(a)jk=∫(∥ρ−a∥22δjk−(ρj−aj)(ρk−ak)) dν(ρ); the model's tensor about p is I(t,p)=R(t)Iν(a(t,p))R(t)T with a(t,p)=R(t)T(p−c(t)).

[L4]

Spectral theorem (Real spectral theorem: a self-adjoint endomorphism of a finite-dimensional real inner product space has an orthonormal eigenbasis, Self-adjoint and normal endomorphisms of a finite-dimensional real or complex inner product space): every self-adjoint endomorphism of a finite-dimensional real inner product space has an orthonormal basis of eigenvectors with real eigenvalues; the map ω↦Iω is self-adjoint because I is symmetric and ⟨Iω,z⟩=ωTIz.

[L5]

Cross product and rotation algebra (The cross product in R3, The cross product is bilinear, alternating, and orthogonal to both factors, The squared cross-product norm is the Gram determinant of two vectors, The skew-matrix/cross-product correspondence [ω]×z=ω×z and its conjugation law R[ω]×RT=[Rω]×, The orthogonal group O(3) and the rotation group SO(3)): u×v is bilinear and u×u=0; ∥u×v∥22=∥u∥22∥v∥22−⟨u,v⟩2, so u×v=0 with u≠0 holds exactly when v is a real multiple of u; for R∈SO(3), R(u×v)=(Ru)×(Rv) and ∥Rv∥2=∥v∥2.

[L6]

Integrability and linearity (Finiteness of the moments of a bounded finite Borel measure on R3, Finiteness and a uniform bound for the entries of the inertia tensor about an arbitrary point, The Lebesgue integral is linear on L1(μ), Integral over a measurable subset, Integrable real and complex functions, and their integrals): the functions ρ↦ρj, ρ↦∥ρ∥22 and the shifted quadratic polynomials of [L3] are ν-integrable, so the entries of Iν(a) are finite; the integral is linear on L1(ν) and componentwise for vector- and matrix-valued integrands.

[L7]

Orthonormality and coordinates (Orthogonal vectors and subspaces, orthogonal and orthonormal sets, and orthonormal bases, Real and complex inner product spaces, with the inner product linear in the first argument, The Euclidean inner product ⟨x,y⟩=∑k<nxkyk on Rn, Rectangular matrix multiplication and the identity matrix In, including zero-sized shapes): in an orthonormal basis, coordinates are the inner products with the basis vectors, ⟨ej,ek⟩=δjk, and a vector has unique coordinates; a linear map is determined by its values on a basis.

Proof

technique · direct; take the principal basis from the mathematical supplier and translate its quadratic-form identities into the model's axis moments, carrying the shifted-tensor algebra through the placement
1.1givenL1L2L4

By [L2] the matrix I is symmetric, so the map T:ω↦Iω satisfies ⟨Tω,z⟩=(Iω)Tz=ωTIz=⟨ω,Tz⟩ for all ω,z: it is self-adjoint on the Euclidean space R3. Applying the spectral theorem [L4], or equivalently clause 1 of [L1], gives an orthonormal basis (e1,e2,e3) and real Ij with Iej=Ijej. This is clause (a).

1.2givenL3L5L6algebra

Spatial axis moments: put a:=a(t,p)=R(t)T(p−c(t)) and m:=R(t)Tn, so that ∥m∥2=∥n∥2=1. By [L3] and bilinearity of the matrix product, nTI(t,p)n=mTIν(a)m=∑j,kmjmk∫(∥ρ−a∥22δjk−(ρj−aj)(ρk−ak))dν(ρ). The integrand is the shifted quadratic polynomial of [L3], integrable by [L6]; pulling the finite sum inside the integral by linearity [L6] and evaluating the sum gives ∑j,kmjmk(∥ρ−a∥22δjk−(ρj−aj)(ρk−ak))=∥m∥22∥ρ−a∥22−⟨m,ρ−a⟩2=∥m×(ρ−a)∥22 for each ρ, by the cross-norm identity of [L5] and ∥m∥2=1. Hence nTI(t,p)n=∫∥m×(ρ−a)∥22 dν(ρ).

2.1step 1.1L1L7algebra

For ω=∑jωjej, linearity of T and Iej=Ijej give Iω=∑jIjωjej; taking the inner product with ω and using ⟨ej,ek⟩=δjk gives ωTIω=∑jIjωj2, and [L1] gives the further equality ∑jIjωj2=∫∥ω×ρ∥22 dν(ρ). Setting ω=ej gives Ij=ejTIej=∫∥ej×ρ∥22 dν(ρ). This is clause (b).

2.2step 1.2L5algebra

Changing description: for every ρ, R(t)(m×(ρ−a))=(Rm)×(Rρ−Ra) by the equivariance clause of [L5], and Rm=n while Rρ−Ra=Rρ−(p−c)=x(t,ρ)−p by the defining relation Ra=p−c; since R(t) preserves the norm [L5], ∥m×(ρ−a)∥2=∥n×(x(t,ρ)−p)∥2. Substituting into step 1.2 gives the second identity of clause (c).

2.3step 1.2L5algebra

Invariance on the line: let p′=p+sn with s∈R, so that a(t,p′)=a+s m and ρ−a(t,p′)=(ρ−a)−s m; then m×(ρ−a′)=m×(ρ−a)−s (m×m)=m×(ρ−a) by [L5], so the integral of step 1.2 is unchanged. Replacing n by −n replaces m by −m, and (−m)×(ρ−a)=−m×(ρ−a) has the same norm; the quadratic expression nTI(t,p)n is unchanged under n↦−n by bilinearity. Hence Θℓ(t) depends only on the spatial line ℓ and not on the choice of p on it or on the sign of n. This completes clause (c).

3.1step 2.1given

Body-fixed axis moments: applying step 2.1 with ω=n gives nTIn=∫∥n×ρ∥22 dν(ρ) for every n∈R3, in particular for unit vectors. This is the first identity of clause (c).

3.2step 2.1L2L5algebra

Nonnegativity and vanishing criterion: by step 2.1, Ij=∫fj dν with fj(ρ)=∥ej×ρ∥22≥0; by A nonnegative measurable function has integral 0 exactly when it vanishes almost everywhere and Monotonicity and nonnegative homogeneity of the nonnegative integral the integral vanishes exactly when fj=0 ν-almost everywhere, and by Measure-null sets and almost-everywhere statements relative to a measure this holds exactly when ν({ρ:fj(ρ)≠0})=0. Since ej≠0, the identity ej×ρ=0 is equivalent to ρ∈Rej (The cross product in R3, The cross product is bilinear, alternating, and orthogonal to both factors); hence Ij=0 exactly when ν(R3∖Rej)=0, that is, exactly when ν is supported on the line of the principal axis ej.

4.1step 3.2L2algebra

Nondegeneracy: assume ν(R3∖Rω)>0 for every ω≠0. For each j, the line Rej is a line through the origin and Rej=Rω for ω=ej≠0, so ν(R3∖Rej)>0 and step 3.2 gives Ij≠0, hence Ij>0 by nonnegativity. If Iω=0 for some ω, then ωTIω=ωT0=0, so ∫∥ω×ρ∥22 dν=0 by [L2] and the argument of step 3.2 gives ν(R3∖Rω)=0 for that ω; if ω≠0 this contradicts the nondegeneracy hypothesis, so the nullspace of I is {0} and I is invertible (Invertible matrix theorem: invertibility, full pivot rank, RREF I, trivial nullspace and unique solvability are equivalent).

4.2step 3.2L2L5algebra

Degenerate support: suppose ν is supported on a line through the origin, with direction vector u≠0, that is ν(R3∖Ru)=0. Then u×ρ=0 for ν-almost every ρ, so uTIu=∫∥u×ρ∥22 dν=0 by [L2]. For every k and every real s, applying [L2] to u+sek and expanding the quadratic form by bilinearity and symmetry of I gives uTIu+2s ekTIu+s2ekTIek=∫∥(u+sek)×ρ∥22 dν=s2∫∥ek×ρ∥22 dν, because u×ρ=0 ν-almost everywhere; the terms not involving s2 therefore vanish for all s, so ekTIu=0 for every k and hence Iu=0 with u≠0. Thus I is not invertible. If the support of a centred ν is contained in a line, that line passes through the origin, since 0=∫ρ dν/m is the mean of a measure supported there; hence the stated case covers every centred mass distribution supported on a line. This proves clause (d).

5.1step 2.1step 3.2L7algebra∎

Extremal values: for a unit vector n=∑jcjej, orthonormality gives ∑jcj2=∥n∥22=1 by [L7], and step 2.1 gives nTIn=∑jIjcj2; since the coefficients cj2 are nonnegative and sum to 1 while each Ij≥0 by step 3.2, the value lies between min⁡jIj and max⁡jIj; setting n equal to a unit eigenvector whose principal moment is minimal (respectively maximal) attains the minimum (respectively maximum). This is clause (e).

Remarks

  • Stationary points. The principal axes are stationary points of the quadratic form on the unit sphere: if s↦n(s) is a differentiable curve of unit vectors with n(0)=ek, then dds(n(s)TIn(s))∣s=0=2⟨n′(0),Iek⟩=2Ik⟨n′(0),ek⟩=0, because ∥n(s)∥22≡1 gives 2⟨n′(0),ek⟩=0 (Differentiation of sums, scalar multiples, inner products, cross products and squared norms of differentiable curves in R3 clause 2). Every point of the unit sphere is stationary for a scalar multiple of the identity, so stationarity does not by itself single out geometric axes. Clause (e) identifies the extreme values and their eigenspaces; repeated extreme eigenvalues do not select unique axes, and for I=λI3 every unit vector attains both extrema.

  • Physical reading. Clause (c) is the model's statement that nTI(t,p)n is the moment of inertia of the body about the spatial line through p in direction n, computed as the mass-weighted integral of the squared distance from the line; the body-fixed version nTIn is the time-independent moment about the line through the centre of mass in body direction n. Clause (b) identifies the rotational term of the kinetic splitting 12ωTIω with 12∑jIjωj2 in the body principal basis.

  • Hypotheses used. The principal basis is supplied by the review of the spectral theorem on the mathematical pages; ACω is used only for the finiteness of the integrals through Finiteness of the moments of a bounded finite Borel measure on R3, and the shifted-tensor identities introduce no further hypothesis. The nondegeneracy hypothesis is exactly the positive-definiteness criterion; the degenerate case is carried explicitly in clause (d).

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