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C^2 eta-preserving maps of affine Minkowski space are affine Lorentz maps

Statement

Let (A,V,η,C+) 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 F:A→A be a map whose coordinate expression in some (equivalently, every) inertial chart is of class C2 and which satisfies

η(dFpv,dFpw)=η(v,w)for all p∈A and all v,w∈V,

where dFp:TpA→TF(p)A is the total derivative and the tangent spaces are identified with V by the canonical isomorphism of The tangent space of the affine Minkowski model at any event is canonically V. Then F is an affine Lorentz map: there exist p0∈A and a linear Lorentz map L with F(p)=F(p0)+L(p−p0) for all p∈A (Linear and affine Lorentz maps, and the Lorentz group). Conversely every affine Lorentz map is a C∞ map of A satisfying the same preservation identity. Consequently the C2 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,V,η,C+), a map F:A→A that is C2 in inertial charts and satisfies η(dFpv,dFpw)=η(v,w) for all p,v,w under the canonical tangent identification, and an inertial chart x with frame (o;e0,e1,e2,e3) and coordinate isomorphism E(u)=∑auaea.

[L1]

A linear map L:V→V with η(Lv,Lw)=η(v,w) for all v,w is a linear Lorentz map; an affine Lorentz map is a map F:A→A with F(p)=F(p0)+L(p−p0) for a linear Lorentz map L, and its linear part L is unique (Linear and affine Lorentz maps, and the Lorentz group).

[L3]

The model is the quadruple (A,V,η,C+) with events and displacements q−p∈V (Oriented time-oriented affine Minkowski space (the spacetime primitives)).

[L4]

For the inertial chart x, x(p)=E−1(p−o); η(ea,eb)=diag⁡(−1,1,1,1)ab, so η(Ea,Eb)=η0(a,b) with η0=diag⁡(−1,1,1,1); the chart is a bijection A→R4 (Inertial frames and inertial charts of the affine Minkowski model).

[L5]

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).

[L6]

The tangent space at every event is canonically identified with V; for an inertial chart the identification is Φp(v)=∑ava∂a∣p for v=∑avaea, and under this identification the total derivative of a chart-represented map is the coordinate total derivative conjugated by E (The tangent space of the affine Minkowski model at any event is canonically V).

[L7]

A map between open subsets of Euclidean space is Ck when all iterated partial derivatives of order at most k exist and are continuous (Ck Euclidean maps and diffeomorphisms).

[L8]

f:U→Rn is totally differentiable at a with total derivative Df(a) when f(a+h)=f(a)+Df(a)h+r(h) with ∥r(h)∥2/∥h∥2→0 (The total (Fréchet) derivative Df(a) as the linear first-order approximation with o(∥h∥2) remainder).

[L9]

The j-th partial derivative of f at a is ∂jf(a)=Dejf(a), the directional derivative along ej (Directional derivatives and partial derivatives of a map U⊆Rm→Rn).

[L10]

If f is totally differentiable at a then Dvf(a)=Df(a)v for every v, in particular ∂jf(a)=Df(a)ej, and the matrix of Df(a) in the standard bases is the Jacobian matrix (∂jfi(a))i,j (A total derivative computes every directional derivative, and its matrix is the Jacobian).

[L11]

If f is C2 on an open subset of Rm, then ∂i∂jf=∂j∂if for all coordinate indices (Clairaut--Schwarz theorem for continuous second partial derivatives).

[L12]

D(g∘f)(a)=Dg(f(a))∘Df(a) whenever the two total derivatives exist (The chain rule for total derivatives: D(g∘f)(a)=Dg(f(a))∘Df(a)).

[L13]

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).

[L14]

If U⊆Rm is convex and open and f:U→Rn is totally differentiable at every point with Df(z)=0 for every z∈U, then f is constant on U (A totally differentiable map with zero derivative on a convex open set is constant).

[L15]

A subset U⊆Rm is convex when (1−t)x+ty∈U for all x,y∈U and t∈[0,1]; Rm is convex and open (A convex subset of Rm contains every line segment between two of its points).

[L16]

η is a symmetric bilinear form whose radicals are {0}, so η(u,z)=0 for all z∈V implies u=0 (Lorentz forms of inertia (3,1,0) on a 4-dimensional real vector space); in coordinates η0(a,b)=−a0b0+a1b1+a2b2+a3b3 by [L4].

[L17]

A linear map T:R4→R4 with ker⁡T={0} satisfies dim⁡(im⁡T)=dim⁡R4 by rank-nullity (Rank-nullity: dim⁡FV=nullity⁡T+rank⁡T), so its image is all of R4 (If dim⁡FV=n and U is a linear subspace of V, then U is finite-dimensional, dim⁡FU≤n, and dim⁡FU=n if and only if U=V).

Proof

technique · direct
1.1L4L5L6L12L16L17algebra

Put Φ:=x∘F∘x−1:R4→R4, the coordinate expression of F in the chart x. By hypothesis and [L5], Φ is C2 on the open set R4; by the chain rule [L12] and the tangent identification [L6], at u=x(p) the total derivative of Φ is the conjugate DΦu=E−1∘dFp∘E of the total derivative of F. Hence for all u∈R4 and all a,b∈R4, using η(Ec,Ed)=η0(c,d) from [L4] and the preservation identity of the Given, η0(DΦua,DΦub)=η(dFp(Ea),dFp(Eb))=η(Ea,Eb)=η0(a,b). In particular, if DΦua=0 for some a, then η0(a,b)=η0(DΦua,DΦub)=0 for every b; testing b=e0,e1,e2,e3 gives a0=0 and a1=a2=a3=0, so a=0 by [L16], and DΦu has trivial kernel; by [L17] it is invertible, so the vectors DΦue0,…,DΦue3 form a basis of R4.

1.2L4L6L7L8L12algebra

Conversely, let G be an affine Lorentz map with linear part L~ and G(p)=G(p0)+L~(p−p0). Its coordinate expression in x is ΦG(u)=x(G(x−1(u)))=x(G(p0))+L~x(u−x(p0)) with L~x:=E−1∘L~∘E a linear map of R4, hence a polynomial map of degree at most one and consequently C∞; its total derivative at every point is the constant L~x, and for a,b∈R4 the Lorentz property of L~ together with [L4] gives η0(L~xa,L~xb)=η(L~(Ea),L~(Eb))=η(Ea,Eb)=η0(a,b), which under the identification [L6] is exactly the preservation identity η(dGpv,dGpw)=η(v,w) for all p,v,w.

2.1L8L9L10L11L16step 1.1algebra

For j∈{0,1,2,3} define the vector-valued map Aj:R4→R4 by Aj(u):=∂jΦ(u)=DΦuej, the equality being [L10]; each Aj is C1 because Φ is C2. For i,j,k define the real-valued function Cijk(u):=η0(∂iAj(u),Ak(u))=η0(∂i∂jΦ(u),∂kΦ(u)). The identity of step 1.1, η0(Aj(u),Ak(u))=ηjk with the constant ηjk:=η0(ej,ek), says that u↦η0(Aj(u),Ak(u)) is constant; differentiating it with the product rule for the bilinear form η0 (which in coordinates is the displayed polynomial of [L16]) gives Cijk(u)+Cikj(u)=0 for all u. Clairaut's theorem [L11] applied to the components of the C2 map Φ gives ∂i∂jΦ=∂j∂iΦ pointwise, hence Cijk=η0(∂j∂iΦ,∂kΦ)=Cjik.

3.1step 2.1algebra

We show Cijk=0 for all i,j,k. If i,j,k are pairwise distinct, the two relations of step 2.1 give Cijk=Cjik=−Cjki=−Ckji=Ckij=Cikj=−Cijk, where each equality is an instance of Cabc=Cbac (first two indices) or Cabc=−Cacb (last two indices); hence 2Cijk=0 and Cijk=0 in R. If exactly two of i,j,k coincide, consider the three possible coincidences: Ciik=−Ciki and Ciki=Ckii and Ckii=−Ckii, so Ckii=0, then Ciki=0, then Ciik=0; the remaining coincidences are the same three after renaming. If i=j=k, then Ciii=−Ciii by the last-two relation, so Ciii=0. Thus Cijk=0 for every triple.

4.1L10L16step 1.1step 3.1algebra

Fix i,j and u, and put w:=∂iAj(u)∈R4. By step 3.1, η0(w,Ak(u))=Cijk(u)=0 for k=0,1,2,3; since (A0(u),…,A3(u)) is a basis of R4 by step 1.1, expanding an arbitrary z∈R4 in that basis and using bilinearity of η0 gives η0(w,z)=0 for every z, whence w=0 by [L16]. Therefore ∂iAj(u)=0 for all i,j,u; equivalently the total derivative DAj(u), whose matrix is the Jacobian (∂i(Aj)m(u)) by [L10], is the zero linear map for every u.

5.1L14L15step 4.1

By step 4.1 and [L14], applied on the convex open set R4 of [L15], each map Aj:R4→R4 is constant on R4: there are vectors Lj∈R4 with Aj(u)=Lj for all u and all j.

6.1L8L13L14L15step 5.1algebra

Let L:R4→R4 be the linear map defined by Lej:=Lj for j=0,1,2,3 (Linear map between vector spaces over the same field); it is well defined because (e0,…,e3) is a basis of R4. By step 5.1 and step 2.1, DΦuej=Aj(u)=Lj=Lej for all u and all j, so the two linear maps DΦu and L agree on a basis and DΦu=L for every u. Define Ψ(u):=Φ(u)−Lu; by [L13] Ψ is totally differentiable at every point, and since the linear map L is totally differentiable with DL(u)=L (substituting L(u+h)−L(u)−Lh=0 into [L8] verifies the defining limit), [L13] gives DΨ(u)=DΦu−L=L−L=0 for every u. Applying [L14] on the convex open set R4 again gives a vector b∈R4 with Ψ(u)=b for all u; hence Φ(u)=Lu+b for all u∈R4.

7.1L1L4step 1.1step 6.1algebraL3

Evaluating the preservation identity of step 1.1 at u=0 and using DΦ0=L from step 6.1 gives η0(La,Lb)=η0(a,b) for all a,b∈R4. Define the linear map L~:V→V by L~:=E∘L∘E−1; for v=Ea, w=Eb with a,b∈R4, [L4] gives η(L~v,L~w)=η(E(La),E(Lb))=η0(La,Lb)=η0(a,b)=η(v,w), so L~ is a linear Lorentz map by [L1]. Moreover, for every event p with u:=x(p), step 6.1 and the chart identity x−1(u)=o+E(u) of [L4] give F(p)=x−1(Φ(u))=x−1(Lu+b)=o+E(Lu+b)=o+Eb+E(Lu)=F(o)+L~(E(u)), and since x(p)=E−1(p−o) this reads F(p)=F(o)+L~(p−o) for every p∈A: F is an affine Lorentz map with linear part L~ and p0:=o.

8.1step 1.1step 3.1step 4.1step 5.1step 6.1step 7.1step 1.2L3L2∎

Step 1.1 sets up the coordinate expression and proves DΦu injective; steps 3.1 through 7.1 construct the constant linear part L~ and prove that it is a linear Lorentz map; step 1.2 is the converse. Hence the C2 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).

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