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Principal axes and principal moments of the inertia data of a rigid-material model, axis moments and extremal values
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 (The Axiom of Countable Choice ()), 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 with total mass and centred reference coordinates, the body inertia matrix , the spatial inertia tensor of a motion , and the inertia tensor about a spatial point (Configuration, configuration space and orientation of a rigid-material model in an inertial frame). Then:
(a) Principal basis. There is an orthonormal basis of and real numbers , the principal axes and principal moments of the model, with
(b) Quadratic form and rotational term. For every one has and and each principal moment is .
(c) Axis moments. For every unit vector , for every spatial point and unit vector , with the placement at time , Consequently the number 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 and not on the choice of the point on it nor on the sign of the unit direction .
(d) Vanishing and positivity. Each principal moment satisfies , and exactly when is supported on the line of the principal axis, that is . If the model is nondegenerate, that is if for every , then every and is invertible. If is supported on some line through the origin (such a line exists whenever the support of a centred is contained in a line, because the mean of is the origin), then is not invertible.
(e) Extremal moments. For every unit vector one has and therefore with the value attained at a unit eigenvector for a maximal principal moment and the value 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 with configuration path, a time , vectors with , and a spatial point .
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 with , ; for one has , and .
Mathematical supplier, symmetry and quadratic identity (Symmetry, the quadratic identity , and the positive-definiteness criterion for the inertia matrix clauses 1-2): is symmetric, and for every , so the quadratic form is positive semidefinite.
The shifted tensor and its definition (The inertia tensor of a finite bounded Borel measure about any point of , Inertia matrix, spatial inertia tensor, inertia tensor about a point and moment of inertia about an axis of a rigid-material model): for , ; the model's tensor about is with .
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 is self-adjoint because is symmetric and .
Cross product and rotation algebra (The cross product in , 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 and its conjugation law , The orthogonal group and the rotation group ): is bilinear and ; , so with holds exactly when is a real multiple of ; for , and .
Integrability and linearity (Finiteness of the moments of a bounded finite Borel measure on , Finiteness and a uniform bound for the entries of the inertia tensor about an arbitrary point, The Lebesgue integral is linear on , Integral over a measurable subset, Integrable real and complex functions, and their integrals): the functions , and the shifted quadratic polynomials of [L3] are -integrable, so the entries of are finite; the integral is linear on and componentwise for vector- and matrix-valued integrands.
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 on , Rectangular matrix multiplication and the identity matrix , including zero-sized shapes): in an orthonormal basis, coordinates are the inner products with the basis vectors, , and a vector has unique coordinates; a linear map is determined by its values on a basis.
Proof
By [L2] the matrix is symmetric, so the map satisfies for all : it is self-adjoint on the Euclidean space . Applying the spectral theorem [L4], or equivalently clause 1 of [L1], gives an orthonormal basis and real with . This is clause (a).
Spatial axis moments: put and , so that . By [L3] and bilinearity of the matrix product, 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 for each , by the cross-norm identity of [L5] and . Hence .
For , linearity of and give ; taking the inner product with and using gives , and [L1] gives the further equality . Setting gives . This is clause (b).
Changing description: for every , by the equivariance clause of [L5], and while by the defining relation ; since preserves the norm [L5], . Substituting into step 1.2 gives the second identity of clause (c).
Invariance on the line: let with , so that and ; then by [L5], so the integral of step 1.2 is unchanged. Replacing by replaces by , and has the same norm; the quadratic expression is unchanged under by bilinearity. Hence depends only on the spatial line and not on the choice of on it or on the sign of . This completes clause (c).
Body-fixed axis moments: applying step 2.1 with gives for every , in particular for unit vectors. This is the first identity of clause (c).
Nonnegativity and vanishing criterion: by step 2.1, with ; by A nonnegative measurable function has integral exactly when it vanishes almost everywhere and Monotonicity and nonnegative homogeneity of the nonnegative integral the integral vanishes exactly when -almost everywhere, and by Measure-null sets and almost-everywhere statements relative to a measure this holds exactly when . Since , the identity is equivalent to (The cross product in , The cross product is bilinear, alternating, and orthogonal to both factors); hence exactly when , that is, exactly when is supported on the line of the principal axis .
Nondegeneracy: assume for every . For each , the line is a line through the origin and for , so and step 3.2 gives , hence by nonnegativity. If for some , then , so by [L2] and the argument of step 3.2 gives for that ; if this contradicts the nondegeneracy hypothesis, so the nullspace of is and is invertible (Invertible matrix theorem: invertibility, full pivot rank, RREF , trivial nullspace and unique solvability are equivalent).
Degenerate support: suppose is supported on a line through the origin, with direction vector , that is . Then for -almost every , so by [L2]. For every and every real , applying [L2] to and expanding the quadratic form by bilinearity and symmetry of gives because -almost everywhere; the terms not involving therefore vanish for all , so for every and hence with . Thus is not invertible. If the support of a centred is contained in a line, that line passes through the origin, since 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).
Extremal values: for a unit vector , orthonormality gives by [L7], and step 2.1 gives ; since the coefficients are nonnegative and sum to while each by step 3.2, the value lies between and ; setting equal to a unit eigenvector whose principal moment is minimal (respectively maximal) attains the minimum (respectively maximum). This is clause (e).
Remarks
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Stationary points. The principal axes are stationary points of the quadratic form on the unit sphere: if is a differentiable curve of unit vectors with , then , because gives (Differentiation of sums, scalar multiples, inner products, cross products and squared norms of differentiable curves in 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 every unit vector attains both extrema.
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Physical reading. Clause (c) is the model's statement that is the moment of inertia of the body about the spatial line through in direction , computed as the mass-weighted integral of the squared distance from the line; the body-fixed version is the time-independent moment about the line through the centre of mass in body direction . Clause (b) identifies the rotational term of the kinetic splitting with in the body principal basis.
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Hypotheses used. The principal basis is supplied by the review of the spectral theorem on the mathematical pages; is used only for the finiteness of the integrals through Finiteness of the moments of a bounded finite Borel measure on , 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).
Depends on
Adoption of the rigid-material model branch: reference mass distribution, rigid placements, orientation and scope
Configuration, configuration space and orientation of a rigid-material model in an inertial frame
Inertia matrix, spatial inertia tensor, inertia tensor about a point and moment of inertia about an axis of a rigid-material model
Mass distributions on : total mass, first moment and inertia matrix
Finiteness of the moments of a bounded finite Borel measure on
Finiteness and a uniform bound for the entries of the inertia tensor about an arbitrary point
The Axiom of Countable Choice ()
Symmetry, the quadratic identity , and the positive-definiteness criterion for the inertia matrix
Principal axes and principal moments of the inertia matrix, and positivity in the nondegenerate case
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
The inertia tensor of a finite bounded Borel measure about any point of
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 on
Rectangular matrix multiplication and the identity matrix , including zero-sized shapes
Invertible matrix theorem: invertibility, full pivot rank, RREF , trivial nullspace and unique solvability are equivalent
The orthogonal group and the rotation group
The skew-matrix/cross-product correspondence and its conjugation law
The cross product in
The cross product is bilinear, alternating, and orthogonal to both factors
The squared cross-product norm is the Gram determinant of two vectors
The Lebesgue integral is linear on
A nonnegative measurable function has integral exactly when it vanishes almost everywhere
Measure-null sets and almost-everywhere statements relative to a measure
Monotonicity and nonnegative homogeneity of the nonnegative integral
Integral over a measurable subset
Integrable real and complex functions, and their integrals
The derivative and the Riemann integral of a vector-valued function: an intrinsic derivative and a componentwise integral
Differentiation of sums, scalar multiples, inner products, cross products and squared norms of differentiable curves in
Dimensions and SI unit conventions of the non-relativistic classical mechanics framework
Dependency tree · 2 levels
Sources
- D. Tong, Classical Dynamics (Cambridge lecture notes, January 2015 printing), Section 3.2, Eq. (3.21) and the following text, printed pages 50-52 (PDF pages 56-58): orthogonal diagonalization of the symmetric inertia tensor, principal axes, and the semidefiniteness discussion
- K. K. Likharev, Essential Graduate Physics, Part CM: Classical Mechanics (title page last edited September 1, 2026), Chapter 4 Section 4.3, chapter pages 6-8 (PDF pages 60-62): principal axes as the eigenvectors of the inertia tensor, with the moments of inertia read on the diagonal
- G. J. Sussman and J. Wisdom, Structure and Interpretation of Classical Mechanics, 2nd ed. (MIT Press, 2014), Section 2.5: the principal moments as the eigenvalues of the inertia tensor and the diagonal form in the principal basis
- I. Stewart, Advanced Classical Mechanics (MIT 8.09/8.309 Fall 2014 course text), Chapter 2 Section 2.3, printed pages 37-41 (PDF pages 40-44): the tensor transformation to principal axes and the diagonal inertia matrix