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Symmetry, the quadratic identity , and the positive-definiteness criterion for the inertia matrix
Statement
Assume the Axiom of Countable Choice (The Axiom of Countable Choice ()), used only in [L1], through Finiteness of the moments of a bounded finite Borel measure on , to make the entries of finite real numbers. Let be a mass distribution on with total mass and inertia matrix (Mass distributions on : total mass, first moment and inertia matrix). Write for the quadratic form of on and for the Euclidean norm (The Euclidean inner product on ). Then:
- is symmetric: for all .
- For every , the cross product being that of The cross product in .
- The symmetric bilinear form on is therefore positive semidefinite (Positive and negative definiteness, the inertia , rank , and signature of a real symmetric bilinear or quadratic form); for each , writing , one has if and only if . Thus it is positive definite if and only if for every , that is, no line through the origin carries the entire mass (Measure-null sets and almost-everywhere statements relative to a measure).
- If the form is positive definite, then is invertible.
Facts & Assumptions
Given: A mass distribution with inertia matrix and a vector .
is a finite real number for every , by the finiteness lemma for bounded finite measures Mass distributions on : total mass, first moment and inertia matrix, Finiteness of the moments of a bounded finite Borel measure on .
The integral is linear on : for real and integrable The Lebesgue integral is linear on .
For a measurable with one has -almost everywhere; and for A nonnegative measurable function has integral exactly when it vanishes almost everywhere, Monotonicity and nonnegative homogeneity of the nonnegative integral.
For all , , and if and only if and are linearly dependent The squared cross-product norm is the Gram determinant of two vectors.
A vector is orthogonal to every vector of only if it is , and the Euclidean inner product is bilinear Real and complex inner product spaces, with the inner product linear in the first argument, The Euclidean inner product on .
The matrix satisfies ; if then is invertible Invertible matrix theorem: invertibility, full pivot rank, RREF , trivial nullspace and unique solvability are equivalent.
Proof
Interchanging and leaves the integrand unchanged, because and ; the two integrals defining and therefore coincide, so is symmetric.
Expressing the quadratic form through the entries of [L1] and applying linearity [L2] to the finite sum of integrable functions ,
For each , evaluating the sum gives by [L4] and bilinearity of the inner product.
Substituting step 2.1 into step 1.2 gives the identity of clause 2, and the integrand is nonnegative, so its integral is by [L3]: the form is positive semidefinite by definition.
Let and put . This is a measurable nonnegative integrable polynomial by [L1], [L2] and step 2.1. Its zero set is the closed line , by [L4], so its exceptional set is Borel measurable. By step 3.1 and both implications of [L3], exactly when -almost everywhere, meaning that its measurable exceptional set has measure zero, or equivalently . Since the quadratic form is nonnegative and finite, it is strictly positive for this exactly when that complement has positive measure. Quantifying over all gives the positive-definiteness criterion in clause 3.
Assume the form is positive definite. If for some , then , which for is excluded; hence and is invertible by [L6]. This is clause 4.
Depends on
Mass distributions on : total mass, first moment and inertia matrix
Finiteness of the moments of a bounded finite Borel measure on
The Axiom of Countable Choice ()
The cross product in
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
Positive and negative definiteness, the inertia , rank , and signature of a real symmetric bilinear or quadratic form
Real and complex inner product spaces, with the inner product linear in the first argument
The Euclidean inner product on
Invertible matrix theorem: invertibility, full pivot rank, RREF , trivial nullspace and unique solvability are equivalent
Dependency tree · 2 levels
Sources
- D. Tong, Classical Dynamics (Cambridge lecture notes, 2015), §3.2, Eqs. (3.18)-(3.22), printed pp. 50-52: symmetry of the inertia tensor, positivity and the equality case (all mass on a line)
- K. Likharev, Essential Graduate Physics: Classical Mechanics, Ch. 4 §4.2, Eqs. (4.16)-(4.18): symmetry and the quadratic form of the inertia tensor
- G. J. Sussman and J. Wisdom, Structure and Interpretation of Classical Mechanics, 2nd ed. (MIT Press, 2014), §§2.3-2.5: moments of inertia, inertia tensor and principal moments as a symmetric matrix diagonalized by a rotation