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C^2 eta-preserving maps of affine Minkowski space are affine Lorentz maps
Statement
Let be the affine Minkowski space with its inertial smooth structure (The affine atlas makes the Minkowski model a smooth 4-manifold diffeomorphic to R^4), and let be a map whose coordinate expression in some (equivalently, every) inertial chart is of class and which satisfies
where is the total derivative and the tangent spaces are identified with by the canonical isomorphism of The tangent space of the affine Minkowski model at any event is canonically V. Then is an affine Lorentz map: there exist and a linear Lorentz map with for all (Linear and affine Lorentz maps, and the Lorentz group). Conversely every affine Lorentz map is a map of satisfying the same preservation identity. Consequently the isometries of the affine Minkowski model are exactly its affine Lorentz maps, and these form a group under composition.
Facts & Assumptions
Given: An oriented time-oriented affine Minkowski space , a map that is in inertial charts and satisfies for all under the canonical tangent identification, and an inertial chart with frame and coordinate isomorphism .
A linear map with for all is a linear Lorentz map; an affine Lorentz map is a map with for a linear Lorentz map , and its linear part is unique (Linear and affine Lorentz maps, and the Lorentz group).
Affine Lorentz maps are bijections and form a group under composition (Lorentz maps are isomorphisms of determinant ±1 that preserve causal character and permute the cones; the Lorentz sets are groups).
The model is the quadruple with events and displacements (Oriented time-oriented affine Minkowski space (the spacetime primitives)).
For the inertial chart , ; , so with ; the chart is a bijection (Inertial frames and inertial charts of the affine Minkowski model).
The inertial charts form a smooth atlas; the transitions between inertial charts are affine, hence smooth (The affine atlas makes the Minkowski model a smooth 4-manifold diffeomorphic to R^4).
The tangent space at every event is canonically identified with ; for an inertial chart the identification is for , and under this identification the total derivative of a chart-represented map is the coordinate total derivative conjugated by (The tangent space of the affine Minkowski model at any event is canonically V).
A map between open subsets of Euclidean space is when all iterated partial derivatives of order at most exist and are continuous ( Euclidean maps and diffeomorphisms).
is totally differentiable at with total derivative when with (The total (Fréchet) derivative as the linear first-order approximation with remainder).
The -th partial derivative of at is , the directional derivative along (Directional derivatives and partial derivatives of a map ).
If is totally differentiable at then for every , in particular , and the matrix of in the standard bases is the Jacobian matrix (A total derivative computes every directional derivative, and its matrix is the Jacobian).
If is on an open subset of , then for all coordinate indices (Clairaut--Schwarz theorem for continuous second partial derivatives).
whenever the two total derivatives exist (The chain rule for total derivatives: ).
Sums, scalar multiples and differences of totally differentiable maps are totally differentiable with the expected total derivatives (Sums and scalar multiples of totally differentiable maps are totally differentiable with the expected derivatives).
If is convex and open and is totally differentiable at every point with for every , then is constant on (A totally differentiable map with zero derivative on a convex open set is constant).
A subset is convex when for all and ; is convex and open (A convex subset of contains every line segment between two of its points).
is a symmetric bilinear form whose radicals are , so for all implies (Lorentz forms of inertia (3,1,0) on a 4-dimensional real vector space); in coordinates by [L4].
A linear map with satisfies by rank-nullity (Rank-nullity: ), so its image is all of (If and is a linear subspace of , then is finite-dimensional, , and if and only if ).
Proof
Put , the coordinate expression of in the chart . By hypothesis and [L5], is on the open set ; by the chain rule [L12] and the tangent identification [L6], at the total derivative of is the conjugate of the total derivative of . Hence for all and all , using from [L4] and the preservation identity of the Given, . In particular, if for some , then for every ; testing gives and , so by [L16], and has trivial kernel; by [L17] it is invertible, so the vectors form a basis of .
Conversely, let be an affine Lorentz map with linear part and . Its coordinate expression in is with a linear map of , hence a polynomial map of degree at most one and consequently ; its total derivative at every point is the constant , and for the Lorentz property of together with [L4] gives , which under the identification [L6] is exactly the preservation identity for all .
For define the vector-valued map by , the equality being [L10]; each is because is . For define the real-valued function . The identity of step 1.1, with the constant , says that is constant; differentiating it with the product rule for the bilinear form (which in coordinates is the displayed polynomial of [L16]) gives for all . Clairaut's theorem [L11] applied to the components of the map gives pointwise, hence .
We show for all . If are pairwise distinct, the two relations of step 2.1 give , where each equality is an instance of (first two indices) or (last two indices); hence and in . If exactly two of coincide, consider the three possible coincidences: and and , so , then , then ; the remaining coincidences are the same three after renaming. If , then by the last-two relation, so . Thus for every triple.
Fix and , and put . By step 3.1, for ; since is a basis of by step 1.1, expanding an arbitrary in that basis and using bilinearity of gives for every , whence by [L16]. Therefore for all ; equivalently the total derivative , whose matrix is the Jacobian by [L10], is the zero linear map for every .
By step 4.1 and [L14], applied on the convex open set of [L15], each map is constant on : there are vectors with for all and all .
Let be the linear map defined by for (Linear map between vector spaces over the same field); it is well defined because is a basis of . By step 5.1 and step 2.1, for all and all , so the two linear maps and agree on a basis and for every . Define ; by [L13] is totally differentiable at every point, and since the linear map is totally differentiable with (substituting into [L8] verifies the defining limit), [L13] gives for every . Applying [L14] on the convex open set again gives a vector with for all ; hence for all .
Evaluating the preservation identity of step 1.1 at and using from step 6.1 gives for all . Define the linear map by ; for , with , [L4] gives , so is a linear Lorentz map by [L1]. Moreover, for every event with , step 6.1 and the chart identity of [L4] give , and since this reads for every : is an affine Lorentz map with linear part and .
Step 1.1 sets up the coordinate expression and proves injective; steps 3.1 through 7.1 construct the constant linear part and prove that it is a linear Lorentz map; step 1.2 is the converse. Hence the isometries of the model are exactly its affine Lorentz maps, and these form a group under composition by [L2] (with every affine Lorentz map being a bijection).
Depends on
Linear and affine Lorentz maps, and the Lorentz group
Lorentz maps are isomorphisms of determinant ±1 that preserve causal character and permute the cones; the Lorentz sets are groups
Oriented time-oriented affine Minkowski space (the spacetime primitives)
Inertial frames and inertial charts of the affine Minkowski model
The affine atlas makes the Minkowski model a smooth 4-manifold diffeomorphic to R^4
The tangent space of the affine Minkowski model at any event is canonically V
Euclidean maps and diffeomorphisms
Clairaut--Schwarz theorem for continuous second partial derivatives
Sums and scalar multiples of totally differentiable maps are totally differentiable with the expected derivatives
The chain rule for total derivatives:
A function continuous on an interval whose derivative vanishes at every interior point of is constant on ; consequently two such functions with the same derivative differ by a constant
The derivative of at a point that is a limit point of , and differentiability on a set
Linear map between vector spaces over the same field
The total (Fréchet) derivative as the linear first-order approximation with remainder
A total derivative computes every directional derivative, and its matrix is the Jacobian
Directional derivatives and partial derivatives of a map
A totally differentiable map with zero derivative on a convex open set is constant
A convex subset of contains every line segment between two of its points
Lorentz forms of inertia (3,1,0) on a 4-dimensional real vector space
Rank-nullity:
If and is a linear subspace of , then is finite-dimensional, , and if and only if
Dependency tree · 2 levels
Sources
- H. S. Reall, Mathematical Tripos Part III General Relativity (Cambridge, October 12, 2022 revision), Section 2.2 'Lorentzian signature' pp. 26-28 (PDF pp. 27-29); Internet Archive copy of the original https://www.damtp.cam.ac.uk/user/hsr1000/part3_gr_lectures.pdf
- S. M. Carroll, Lecture Notes on General Relativity, arXiv:gr-qc/9712019v1 (1997), Chapter 1 'Special relativity and flat spacetime' pp. 3-7 (PDF pp. 10-14), equations (1.3)-(1.21)