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The Minkowksi theorem in Minkowski space

3.5 Torsion and twisted geometries

3.5.2 The Minkowksi theorem in Minkowski space

43ǫαβµνpα[T1]pβ[T2]pµ[T3]pν[T4], (3.105) withTi for i= 1, . . . ,5 labelling the five tetrahedra bounding the four-simplex. With the conservation law of the four-momenta (3.101) fulfilled, the four-volume (3.105) would be obviously the same for whatever quadruple of tetrahedra we take to calculate it. In this sense the additional torsional constraint (3.101) has the same intention as the original volume constraint, and guarantees the volume of a four-simplex is the same from whatever side we look at it.

The torsional equations (3.99), (3.100) and (3.101) have an important geometrical interpretation provided by Minkowski’s theorem [156]. The Minkowski theorem holds in any dimensionN, irrespective of the metric signature*. It states that given a number of covectorsv1, . . . vM,M > N that close to zero, there exists a uniqueN-dimensional convex polytope in RN, bounded by N −1-dimensional facets normal to v1, . . . vM, with their volume given by the magnitude of v1, . . . vM. The role of the Minkowski theorem for the three-dimensional geometry is well explored, [51, 52, 55, 150, 180–183].

The idea is, that the conservation law (3.101) provides the geometry of the spinfoam vertices, just as the Gauß law (3.100) uncovered the geometry at the nodes of the spin network functions.

3.5.2 The Minkowksi theorem in Minkowski space

In this section we will prove that Minkowski’s theorem holds irrespective of the metric signature. To this goal, let us first recall the Minkowski theorem in R4. We choose Cartesian coordinates(X0, X1, X2, X3), and introduce the Euclidean metric:

ds2µνdXµdXν = (dX0)2+ (dX1)2+ (dX2)2+ (dX3)2. (3.106) Consider now a set of N positive numbers V(1), . . . , V(N) and covectors nµ(1), . . . , nµ(N) normalised to one: δµνnµ(i)nν(i) = 1(δµν is the inverse metric). Suppose that (i) the normals span all ofR4, and (ii) close to zero if we weight them byV(i):

span

nµ(i) i=1,...,N =R4, and:

XN

i=1

V(i)nµ(i) = 0. (3.107)

*The metric plays actually little role in the Minkowski theorem, a point that has so far been largely ignored to my knowledge. In the next section, we will in fact prove that the Minkowski theorem also holds in Minkowski space.

The Minkowski theorem states that (i) and (ii) are both sufficient and necessary to reconstruct a four-dimensional convex polytope P ⊂R4 out of this data. Its bound-ary ∂P splits into N three-dimensional polytopes Ti, with their respective three-volumina given by{V(i)}i=1,...,N while their outwardly oriented four-normals are given by {nµ(i)}i=1,...,N (with the Euclidean metric (3.106) and its inverse moving the in-dices). The resulting polytope is unique up to rigid translations in R4. We can remove the translational symmetry by demanding that the center of mass lies at the origin:

Z of the three-dimensional polytopes Ti. We call them the facets of P.

We will now show that the metric (3.106) plays little role in the reconstruction of P from the volumes and normals of the bounding facets. In fact the pseudo-normals

Vµ(i) =V(i)nµ(i), (3.109) together with the four-volume element d4X are the only ingredients needed to recon-struct the polytope.

To understand why this is true, let us first define the following covectors attached to each bounding polytope: Notice that no metric structure enters the definition of these covectors, the only ingredi-ent is the four-dimensional volume elemingredi-ent (which is in one-to-one correspondence with theǫ-tensorǫ0123 = 1). It is immediate to see that any such covectorVµ[Ti]annihilates the tangent space ofTi: for ifZµbe tangent toTi: Vµ[Ti]Zµ= 0, henceVµ[Ti]∝nµ(i).

The proportionality is given by the volume, and therefore Vµ[Ti] = V(i)nµ(i). This follows* from the determinant formula:

ǫα1α2α3α4ǫβ1β2β3β4 = X

π∈S4

sign(π)δα1βπ(1)δα2βπ(2)δα3βπ(3)δα4βπ(4), (3.111) where S4 is the group of permutations of four elements. In other words, the volume V(i) of Ti determines the magnitude ofVµ[Ti]according to

Vµ[Ti] =Vµ(i) =V(i)nµ(i), (3.112) whereV(i)equals the Euclidean volume of the three-dimensional bounding polytopes.

Let us make the dependence of (3.112) on the metric tensor more explicit, we thus write:

*The proof is simple: Multiply Vµ[Ti] by the normal nµ(i) and write the resulting integral as Vµ[Ti]nµ(i) =R coordi-nates in Ti. If we then employ (3.111) we get the volume as the integral of the square root of the determinant of the induced metric onTi.

where we have introduced (positively oriented) coordinates {x1, x2, x3} on Ti, and δ(∂i, ∂j) = δµν∂X∂xiµ∂Xν

∂xj . We can now also see that nµ(i) is indeed the metrical nor-mal vector ofTi:

nµ(i) =nµ[Ti, δ] = Vµ[Ti]

Vol[Ti, δ]. (3.114) So far, we have done nothing new. Now we should ask the crucial question: How does the reconstruction of the polytope out of normals and volumes depend on the metric tensor—given two metric tensors δαβ and δ˜αβ would we still get the same polytope?

The answer is yes provided the two metrics induce the same four-dimensional volume element, i.e. detδ= det ˜δ= 1. This can be seen as follows.

Let us start again with a set ofN covectorsVµ(i)i= 1, . . . , N that span the algebraic dual ofR4 and close to zero. Using the metric δµν we can separate Vµ(i) =V(i)nµ(i) into its magnitude V(i) and its normal direction nµ(i): δµνnµ(i)nν(i) = 1. We can now use this data to reconstruct a polytope P bounded by facets Ti and centered at the origin.

Suppose now that we would have used another Euclidean metricδ˜µναβΛαµΛβν with det Λ > 0 without loss of generality. We would then write Vµ(i) = ˜V(i)˜nµ(i), and use this splitting (together with the metricδ˜αβ) to reconstruct the corresponding polytope P˜ now bounded by three-dimensional facets that we call T˜i. Their normals aren˜µ(i) : ˜δµνµ(i)˜nν(i) = 1, while V˜(i) gives the volume of T˜i as measured by δ˜αβ. Again we assume bothP andP˜ to be centered at the origin.

Consider now the determinant formula (3.111) which is now modified only by an overall factor proportional to the determinant ofΛ:

ǫα1α2α3α4ǫβ1β2β3β4 = 1 det Λ2

X

π∈S4

sign(π)˜δα1βπ(1)δ˜α2βπ(2)δ˜α3βπ(3)˜δα4βπ(4). (3.115) We can thus repeat the argument that has led us to (3.112) in order to find:

Vµ[Ti] =Vµ(i) = det ΛVµ[ ˜Ti]. (3.116) Looking back at the definition of the volume and the normal (i.e. equations (3.113) and (3.114)) we see immediately that:

Vol[Ti, δ] = det Λ Vol[ ˜Ti, δ], and: nµ[ ˜Ti, δ] =nµ[Ti, δ]. (3.117) We have thus found two convex polytopesP andP˜(both centered at the origin). With respect to the original δαβ-metric any two bounding facets Ti and T˜i have identical normals, while the three-volumina coincide only if det Λ = 1. In this case the two data are the same, and the uniqueness of the reconstruction guarantees that the two polytopes are the same, henceP = ˜P provided det Λ = 1.

Let us make an intermediate summary: Taking N covectors Vµ(i) that span all of R4∗ and close to zero we can reconstruct a unique convex polytope inR4 centered at the origin. We then introduce an auxiliary metric δαβ with detδ = 1 to facilitate the Minkowski-reconstruction of the polytope from these covectors. The result of the construction is independent of the metric chosen: We could have picked any other Euclidean metric δ˜αβ that satisfies det ˜δ = 1 and would have found yet the same polytope.

This tell us a lot for the Minkowski theorem in Minkowski space(R4, ηαβ). Again we look at a set ofN covectorsVµ(i)that span all ofR4∗ (i.e. the dual ofR4) and close to zero. We can now pick a future oriented timelike normal and construct the Euclidean metric δµν = 2TµTνµν. The next step is to use this Euclidean metric to run the reconstruction algorithm. We end up with a unique convex* polytope centered at the origin. This polytope is bounded by three-dimensional polytopes Ti. We compute the conormals Vµ[Ti](as defined by (3.110)) and find again Vµ(i) = Vµ[Ti]. The resulting polytope P is independent of the metric chosen: If we chose another future oriented time-normalT˜µwe would use another metric ˜δµν = 2 ˜Tµνµν. The two normals are related by a Lorentz transformation: Λαβ ∈SO(1,3) : ˜Tα = ΛβαTβ, and so are the two metrics: δ˜αβµνΛµαΛνβ. But det Λ = 1 implies P = ˜P, the two polyhedra are the same and thus independent of the metric chosen.

We are now only left to understand the metrical interpretation of these conormals.

This is again uncovered by the determinant formula: In fact, equation (3.111) also holds in Minkowski space, it just picks a minus sign:

ǫα1α2α3α4ǫβ1β2β3β4 =− X

π∈S4

sign(π)ηα1βπ(1)ηα2βπ(2)ηα3βπ(3)ηα4βπ(4). (3.118) This equation implies that the magnitude of the pseudo-normals measures theLorentzian three-volume ofTi:

ηµνVµ(i)Vν(i) =εiVol[Ti, η]2, (3.119) where ηµν is the inverse Minkowski metric, Vol[Ti, η] measures the Lorentzian three-volume ofTi, andεi =±1for ifTi is a spacelike (timelike) three-surface. In the case of Ti being null Vµ(i)is a null-vector, henceVol[Ti, η] = 0, and we thus have for all three cases:

Vol[Ti, η] = Z

Ti

dx1dx2dx3 q

|detη(∂i, ∂j)|=qηµνVµ[Ti]Vν[Ti], (3.120) withη(∂i, ∂j) =ηαβ∂X∂xαi ∂Xβ

∂xj , and{x1, x2, x3} positively oriented coordinates inTi. Let us summarise this result: Given a set of N covectorsVµ(i) ∈ R4∗ that close to zero and span all ofR4∗, we can construct a convex polytopeP ⊂R4 unique up to rigid translations. This polytope is bounded byN three-dimensional polytopesTi such that Vµ(i) = 3!1 R

TiǫµναβdXµ∧· · ·∧Xβ. These covectors acquire a geometrical interpretation only if we introduce a metric (say a Lorentz metric ηαβ): In this case the magnitude ηµνVµ(i)Vν(i)measures the metrical volume ofTiwhile the vectorVµ(i)∝nµ(i)points into the direction perpendicular to Ti.