How statement and proof provenance work
The first chip identifies the source of the statement or construction; the second identifies the source of its local proof or verification.
- Literature-sourced: the exact statement appears in a cited source; only wording and notation differ.
- AI-adapted: a semantically identical restatement of literature-sourced material, modulo indexing, notation, and boundary cases adopted by the library.
- AI-generated: a genuinely novel statement formulated by AI, with no source for the claim itself.
These labels describe origin, not correctness: citations and verification chips remain separate evidence.
Constrained configurations, the mass matrix and the mass metric
Definition
Let ; the ambient dimension is . Identify with the -fold product and write a point as with , explicitly for and ; the Euclidean inner product on is
with the inner product of The Euclidean inner product on .
Let and let be a smooth -dimensional manifold (Smooth manifolds and their smooth charts) and let
be a smooth map. The manifold is the configuration space and is the configuration map; the pair is called a particle configuration when is an embedded submanifold of and is the inclusion (Embedded submanifolds and slice charts), and a parametrized configuration otherwise. For the intrinsic differential is as in The differential of a smooth map (Derivations at a point and the tangent space for the tangent space). For and the coordinate function , define by for . This is the standard linear isomorphism: in the identity chart the coordinate derivations form a basis by Coordinate derivations form a basis of the tangent space, and evaluation on coordinate germs sends that basis to the standard unit vectors. Throughout this item and its mass-metric formulas, the notation in Euclidean expressions abbreviates . In particular its components are , so this convention retains the usual Jacobian and inclusion formulas.
Let be masses. The mass matrix is the linear map acting on each block by ; its matrix in the standard basis is block diagonal with blocks (Rectangular matrix multiplication and the identity matrix , including zero-sized shapes).
The mass metric of is the family of maps
for and . The kinetic energy of a tangent vector is
Each is a symmetric bilinear form on the real vector space in the sense of Bilinear forms, and symmetric, skew-symmetric, and alternating bilinear forms; that the family depends smoothly on means that in every smooth local chart of the coefficient functions are smooth, and is stated in the smoothness remark below.
Remarks
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Smooth dependence. In any smooth chart on , write and let be its Jacobian. The coordinate matrix of is . Because is , each entry of its Jacobian is by the multi-index definition of ( and smooth maps between smooth manifolds, Euclidean maps and diffeomorphisms, maps and multi-index derivative notation in Euclidean space); finite sums and products preserve smoothness ( Euclidean maps are closed under componentwise algebra and composition). Hence the coefficients of are smooth in every chart, as stated in the Definition.
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In a local chart with coordinate vector fields the matrix of is the Jacobian with entries , and the matrix of is ; this finite computation is The mass metric is symmetric, positive semidefinite, and positive definite exactly when the configuration differential is injective. When is the inclusion of an embedded , the differential is the inclusion and the formula reads .
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The mass metric is a mathematical construction from the data : no physical law, no identification of with any measured inertial or gravitational mass, and no assertion that the motion of any physical system minimizes anything is made here.
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The kinetic energy is not a function on but a function on tangent vectors depending on the base point; this dependence is the reason the mass metric is recorded as a family indexed by .
Depends on
Embedded submanifolds and slice charts
Derivations at a point and the tangent space
The differential of a smooth map
The Euclidean inner product on
Rectangular matrix multiplication and the identity matrix , including zero-sized shapes
Bilinear forms, and symmetric, skew-symmetric, and alternating bilinear forms
Smooth manifolds and their smooth charts
and smooth maps between smooth manifolds
Euclidean maps and diffeomorphisms
maps and multi-index derivative notation in Euclidean space
Euclidean maps are closed under componentwise algebra and composition
Coordinate derivations form a basis of the tangent space