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Mass distributions on : total mass, first moment and inertia matrix
Definition
Let be the Borel sigma-algebra of (The Borel sigma-algebra of a topological space) and let be a measure on the measurable space (Measures on sigma-algebras, Measure spaces) that is finite, , and bounded, meaning that there is a real with the closed ball being that of Open ball, closed ball and sphere in a metric space. Throughout, integrals are Lebesgue integrals against in the sense of Integral over a measurable subset and Integrable real and complex functions, and their integrals, and for a measurable vector- or matrix-valued function the integral is defined componentwise: and , whenever every displayed scalar integral is finite.
A mass distribution on is a bounded finite Borel measure with ; the number is its total mass. Writing points of as and using the Euclidean inner product and norm of The Euclidean inner product on , define:
- the first moment , read componentwise as ;
- the inertia matrix (The vector space of by matrices over a field, with entrywise operations) by its entries , where if and otherwise; equivalently with the identity matrix and the matrix product of Rectangular matrix multiplication and the identity matrix , including zero-sized shapes.
The mass distribution is centred when . Under the Axiom of Countable Choice (The Axiom of Countable Choice ()), each of the integrals above is a finite real number: on one has and , and ; the precise statement and proof are Finiteness of the moments of a bounded finite Borel measure on ↗, which depends on this definition only for its notation. The assumption is used there exactly once, to obtain the Borel measurability of the polynomial integrands from the published continuity criterion; every later item that invokes this finiteness carries the assumption explicitly.
Remarks
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Nothing physical is asserted. "Mass distribution", "total mass" and "inertia matrix" are names for the mathematical objects just defined. No postulate that a physical body is described by such a measure, no identification of with a measured mass, and no mechanical law is part of this definition; the physical reading is supplied by the classical-mechanics items that consume it, with their own hypotheses.
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Generality. The measure need not be absolutely continuous with respect to Lebesgue measure and need not be atomless: finitely many point masses, a surface density, and a volume density are all special cases. The bounded-support hypothesis makes every polynomial moment of degree at most two finite; without it the second moment could diverge.
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Why the first moment matters. Being centred is a condition on the coordinates in which the measure is expressed: it says that the origin of the body coordinate system has been placed at the centre of mass of the distribution. A physical consumer that uses this definition must state that its body coordinates are so placed; the general translation behaviour of and is not asserted here.
Depends on
The Borel sigma-algebra of a topological space
Measures on sigma-algebras
Measure spaces
Open ball, closed ball and sphere in a metric space
The metric topology: a set is open when every one of its points has a ball around it inside the set; closed means open complement
as the set of functions , and , , are metrics on it
Arbitrary unions and finite intersections of open sets are open, open balls are open and closed balls are closed
Integral over a measurable subset
Integrable real and complex functions, and their integrals
The Euclidean inner product on
The vector space of by matrices over a field, with entrywise operations
Rectangular matrix multiplication and the identity matrix , including zero-sized shapes
The Axiom of Countable Choice ()
Dependency tree · 2 levels
Sources
- D. Tong, Classical Dynamics (Cambridge lecture notes, 2015), §3.2, Eqs. (3.19)-(3.22), printed pp. 50-52: inertia-tensor components of a discrete or continuous mass distribution and the symmetry/positivity computation
- K. Likharev, Essential Graduate Physics: Classical Mechanics, Ch. 4 §4.2, Eqs. (4.16)-(4.22): continuous inertia-tensor integral and angular momentum
- G. J. Sussman and J. Wisdom, Structure and Interpretation of Classical Mechanics, 2nd ed. (MIT Press, 2014), §2.4 (Inertia Tensor), Eq. (2.41) and §2.6 (Vector Angular Momentum)