Asymptotic analysis of the EPRL model with timelike tetrahedra
Wojciech Kaminski, Marcin Kisielowski, Hanno Sahlmann

TL;DR
This paper performs a stationary phase analysis of the EPRL spin foam model with timelike tetrahedra, revealing that the amplitude's phase aligns with the Regge action and includes Lorentzian, Euclidean, and split signature sectors.
Contribution
It extends the analysis of the EPRL model to include timelike tetrahedra and unified treatment of different signatures, revealing new split signature solutions.
Findings
Stationary points correspond to 4-simplices with phases matching Regge action.
The model includes Lorentzian, Euclidean, and split signature 4-simplices.
The analysis unifies different signature sectors in the EPRL model.
Abstract
We perform the stationary phase analysis of the vertex amplitude for the EPRL spin foam model extended to include timelike tetrahedra. We analyse both, tetrahedra of signature (standard EPRL), as well as of signature (Hnybida-Conrady extension), in a unified fashion. However, we assume all faces to be of signature . The stationary points of the extended model are described again by -simplices and the phase of the amplitude is equal to the Regge action. Interestingly, in addition to the Lorentzian and Euclidean sectors there appear also split signature -simplices.
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Asymptotic analysis of the EPRL model with timelike tetrahedra
Wojciech Kamiński [email protected] Instytut Fizyki Teoretycznej, Wydział Fizyki, Uniwersytet Warszawski, ul. Pasteura 5 PL-02093 Warszawa, Poland
Marcin Kisielowski [email protected] Instytut Fizyki Teoretycznej, Wydział Fizyki, Uniwersytet Warszawski, ul. Pasteura 5 PL-02093 Warszawa, Poland
Institute for Quantum Gravity, Department of Physics, Friedrich-Alexander Universität Erlangen-Nürnberg (FAU), Staudtstr. 7 D-91058 Erlangen, Germany
Hanno Sahlmann [email protected] Institute for Quantum Gravity, Department of Physics, Friedrich-Alexander Universität Erlangen-Nürnberg (FAU), Staudtstr. 7 D-91058 Erlangen, Germany
Abstract
We study the asymptotic behaviour of the vertex amplitude for the EPRL spin foam model extended to include timelike tetrahedra. We analyze both, tetrahedra of signature (standard EPRL), as well as of signature (Hnybida-Conrady extension), in a unified fashion. However, we assume all faces to be of signature . We find that the critical points of the extended model are described again by -simplices and the phase of the amplitude is equal to the Regge action. Interestingly, in addition to the Lorentzian and Euclidean sectors there appear also split signature -simplices.
1 Introduction
Spin foam models have many origins. On the one hand they appear in the calculation of transition amplitudes in the (topological) quantum theory of 3d gravity (the Turaev Viro model [1] and, less formal, the Ponzano-Regge model [2, 3]). On the other hand spin foams can be regarded as Feynman diagrams of some auxiliary theory [4, 5, 6, 7, 8, 9, 10, 11], which can be chosen such that these diagrams correspond to triangulations of (pseudo-) manifolds. The spin foam sum then becomes a sum over geometries, and the underlying theory, if defined independently, gives a well defined resummation. Prime examples for this viewpoint are matrix models. Both interpretations taken together suggest that spin foam models are relevant also for quantum gravity also in dimension four, although it is not a topological theory anymore.
Most of the modern 4d spin foam models are implementations of the path integral of (topological) BF theory, combined with the imposition of additional constraints on the field [12, 13, 14, 15, 16, 17, 18, 19]. The resulting amplitudes can be interpreted as the transition amplitude between spin network states of loop quantum gravity (LQG) [20, 21]. For a careful analysis of the prospects and problems with linking spin foams and LQG see [22, 23].
States in LQG represent purely spatial geometry. Thus for the LQG interpretation of the spin foam amplitudes, at least the triangulations of the boundary must consist of spatial tetrahedra. In fact, in the standard EPRL-FK model [16, 17, 20], all tetrahedra are spacelike. On the other hand, the BF theory with group (the Ponzano-Regge model in 3d in Lorentzian signature) contains sums over all (continuous and discrete series) representations. According to the coadjoint orbit method [24, 25] it should correspond to appearance of both timelike and spacelike edges and thus also mixed signature triangles (this is 3d analog of timelike tetrahedra). In fact it has been confirmed for specific cases [26, 27]. Moreover, the absence of timelike tetrahedra in LQG is in itself puzzling and attracted attention [28].111In fact, there is a way to reconcile LQG with BF theory by projective spin network technique [29] as well as canonical analysis that allow timelike signature [30, 31]. Thus it is important to note that there is an extension of the standard EPRL model which incorporates tetrahedra with spacelike and with timelike normals [32]. In the present paper we will work with this extended EPRL model.
The are now many spin foam models, but as there is no unique way of constructing them, it is not clear if any of them is a good candidate for quantum gravity. One important test is an asymptotic analysis of the models. The methodology for such analysis is now quite established (see for example [33]) based on many developments [34, 35, 36, 37, 38, 39] etc. The method of choice for 4d models, pioneered by [36], is an extended stationary phase approximation with Livine-Speziale coherent states as boundary states [40]. In this approach the amplitude is written as an integral with oscillatory integrant (see (2)) with called an action. The key role of is played by critical points of , i.e. stationary points for which the real part of the action vanishes. Each such point contributes to the asymptotic formula with an oscillatory term and if the action does not have any critical points, the amplitude is exponentially suppressed. The asymptotic behaviour of the vertex amplitudes is expected to be governed by the Regge action of a suitably constructed -simplex built out of the boundary data.222We note that the analysis of the asymptotic behaviour of the vertex amplitude is only the first step in the process, because the proper behaviour of the vertex amplitude does not necessarily imply “right” asymptotic behaviour of the spin foam sum [41] (see however [42]). Indeed, in the standard EPRL model, the asymptotic limit of the evaluation (see [35, 36] and for an overview [43, 19]) is governed by the Regge action for discrete gravity without cosmological constant [44]
[TABLE]
where are areas of the faces and are the corresponding dihedral angles (see section 9.6 for a precise statement). This is similar to the Ponzano-Regge asymptotic formula [2, 45] valid in three dimensional gravity. Our main result is a classification of the critical points in the generalized EPRL model. Moreover, we compute the difference of phases of two critical points and show how it relates to the Regge action (with the definition of dihedral angles given by [46], see section 9.1 for details).
The model with timelike tetrahedra is considerably more difficult than standard EPRL thus it was not considered seriously so far. However, timelike tetrahedra are natural candidates for some boundary conditions, for example in spin foam cosmology [47, 48], or in spin foam black hole calculations (if such will be done in the future). We hope that providing the asymptotic analysis in the present work will support and boost research in this direction.
Adding the possibility for timelike tetrahedra dramatically expands the complexity of the asymptotic analysis: Now a given -simplex can contain tetrahedra of different types, and hence many different cases arise. In order to manage this complexity in a reasonable way we have developed a unified treatment of all the cases independent of the type of the tetrahedra. This unified treatment, which brings out the essence of the argument while streamlining the technical issues, is the second result of our work. We expect it to be useful for future development using the vertex amplitudes.
One source of the complications for timelike tetrahedra is the change in the type of subgroup, from in the standard case to , in the definition of the amplitudes. Our treatment is building on the work [49] for the case.
Another source of complications in the generalized model is that, since the geometry is much more involved, it is not clear that there are always two (in the degenerate case one) critical points. Our work clarifies the situation in the following way: In the standard EPRL model two critical points are related by time reversal, since the boundary data for spacelike tetrahedra is invariant under this transformation. This is no longer true for mixed boundary data. We show how to construct the second critical point in the general case and provide a complete classification. For an overview see figure 3. We also clarify the meaning of the orientation matching condition, which is more involved in the timelike set-up.
As described above, our analysis is quite general. Still, we we impose two restrictions on the geometry, and make two important assumptions. One restriction is that we assume all the faces to be spacelike (signature ). We expect (see 1.2) that in the case of timelike faces some nongeometric contributions will occur in the asymptotic behaviour. The other restriction is the exclusion of null tetrahedra and null faces. It is not known how to construct the vertex amplitude in this case. However, as we explain in section 1.3, we expect that one can still see contributions from those configurations in the EPRL model and it seems that they are responsible for problems in application of the stationary phase method.
Our work is a first step towards obtaining asymptotic behaviour of the amplitude. In section 1.1 we will briefly review the setting and state our main result, Theorem 1. We describe remaining issues in the section 1.3. Since our result is not easy to state concisely, and since the proof is quite long, we will give a more thorough introduction in sections 1.1 and 1.2 and the outline of the proof in section 1.4.
1.1 Main results
In the standard EPRL-FK model [16, 17, 20] the vertex amplitude assigns a complex number to each SU(2) spin network . The asymptotic limit has been studied in the case when is a complete graph on five nodes (the unique graph connecting each pair of nodes with precisely one link) [35]. This means that spin networks with nodes labelled by the Livine-Speziale coherent intertwiners [38] were considered and the asymptotic limit when the spins (all different than [math]) are uniformly rescaled by a large parameter was studied. The technical tool used in the calculation is an extended stationary phase method [50]. The amplitude can be written in the following form (see Section 2.7):
[TABLE]
where is a measure on parametrized by spinors , which is invariant under the scaling , is a factor that scales approximately as for large and scales as . The number of critical points depends on the (coherent) spin-network .
Let us notice that inside the definition of a coherent state some arbitrary phase is hidden, so the total result will be influenced by an arbitrary phase that scales uniformly with the scaling of the labels. In the analysis of [35, 51] this phase was fixed. However the phase choice was done in a global way by considering the whole graph – not locally by choosing the phases separately for each node. This convention is useful only in considering vertices separately as the phases would be chosen differently for the same nodes glued to two different vertices (see however [41, 52, 42, 53])333The sum of phases for 4-simplices glued together has a physical meaning.. The choice of the phase also leads to additional phase terms in the action of [35] ( from thin wedges see Section 6.2 of [35]) that can be removed by a more judicious choice of overall coherent state phase. For these reasons we prefer to keep the phase unspecified. This leads to an additional arbitrary overall phase in the asymptotic limit. As a result we do not study the phase of each oscillatory term but a difference of phases between different terms.
In the original formulation of the EPRL model only tetrahedra that are spacelike were considered. As a result is an spin network. Our goal is to study the asymptotics of the EPRL-FK vertex amplitude generalized to include tetrahedra that are timelike [32, 54]. We limit to the subcase where the faces are of signature . As a result [32] we will restrict to discrete series of the representations that are labelled with spins 444In the other subcase of faces of signature (see [32] for explanation of semiclassical origin of the notion) continuous series of SU(1,1) representations are used. We expect that that there may be some non-geometric critical points in the case and therefore we leave it for further research (see 1.2 for a comment).. We will consider a generalization of spin networks, where the links are labelled with spins 555In fact by representations of satisfying simplicity constraint, that is in our case . but the nodes are labelled either with intertwiners or intertwiners. In this paper we determine the critical points of the action for the generalized vertex amplitude written in the form (2). This is a crucial step for determination of the asymptotic behaviour of the vertex amplitude.
To each coherent state we will associate vectors in Minkowski spacetime (see section 5.2.1) perpendicular to the standard normal ( or depending on the type of embedding) such that bivectors are spacelike. We will call them the boundary data. Following [35] we will say that (see 5.2.1)
- •
they satisfy closure condition if ,
- •
they are non-degenerate if for every node every out of vectors are independent.
With such vectors for each we can build, by the Minkowski theorem, [55, 56, 57] (for simplices in arbitrary signature, see section 6.3) a tetrahedron in , the faces of which have signature . The type of normal determines type of tetrahedra. For timelike normal we have spacelike tetrahedra, for spacelike normal , timelike (in fact mixed signature) tetrahedra. We can determine lengths of the edges of each tetrahedron .
Let us consider a topological -simplex, the dual to the graph. The nodes of the graph label tetrahedra of the simplex, links (sets of two nodes) label faces, edges between faces are labeled by sets of three nodes (see figure 2. These nodes correspond to three tetrahedra sharing the edge. With every edge we can associate a length coming from application of Minkowski theorem to the boundary data in any node in the set. We will say that the lengths matching condition (definition 9) is satisfied if these lengths determined from all three tetrahedra are the same.
If the lengths matching condition is satisfied then we can look for the Gram matrix constructed from such lengths (see section 6.7). We can reconstruct a unique (up to reflections, rotations and shifts) simplex from the Gram matrix. There are cases for the signature of these simplices
- •
Lorentzian (),
- •
Euclidean (),
- •
split signature (),
- •
degenerate (),
- •
degenerate ().
By the Minkowski theorem (for simplices in arbitrary signature, see section 6.3) we can also determine orientations of the reconstructed tetrahedra. If they match the orientations of tetrahedra of one of the reconstructed -simplices, we will say that orientations matching condition is satisfied (see Section 6.7 definition 10 for precise statement).
Our main result is summarized by the following theorem (see also the diagram on figure 1):
Theorem 1**.**
If the boundary data does not satisfy the closure condition, the action has no critical point. Let us assume that the boundary data satisfies the closure condition and is non-degenerate. If the lengths matching condition is not satisfied then there exists at most one critical point of the action with the interpretation of a vector geometry [35]. The vector geometry can occur only if all normals are of the same type. If the lengths matching condition is satisfied but orientations matching condition is not, then the action has no critical points. If both conditions are satisfied, then let us consider the reconstructed -simplex for the boundary data:
- •
If the reconstructed -simplex is Lorentzian then there exist two critical points and . The difference
[TABLE]
is given by the Regge action without cosmological constant (1) for the flat -simplex
[TABLE]
where is the Plebański orientation (definition 8).
- •
If the reconstructed -simplex is Euclidean or of split signature then there exist two critical points and . The difference is given by the Regge action:
[TABLE]
where is the Barbero-Immirzi parameter.
- •
If the reconstructed simplex is degenerate then there exists a single critical point.
Cases of signature (and respectively) can occur only if all are (and respectively). Degenerate cases can occur only if all normals are of the same type (either or ).
The case when all are equal to was proven before (standard EPRL [35, 58]) but the other cases are our new result. As one can see, the case with timelike tetrahedra is similar to the previously obtained case with spacelike tetrahedra. The main difference is that in addition to Euclidean and Lorentzian signature also split-signature case is present.
Let us notice at the end that in our convention faces of the tetrahedra have areas instead of in the convention of [35]. This is just a total rescaling of the action by the Barbero-Immirzi parameter . Our convention is compatible with LQG area operator spectrum [59, 60]666In LQG the area of the face would be that would lead to the action . We are using units ..
1.2 Type of faces
As we mentioned earlier, our analysis is restricted to the case when all faces are of signature that is when the diagonal simplicity conditions of EPRL are [32]:
[TABLE]
In the case of signature the simplicity constraint is:
[TABLE]
This case is more complicated. Firstly, no EPRL like construction is known (see [48] for recent developments). Secondly, the coherent state proposition [32] in the line of Freidel-Krasnov model differs from representation theoretic construction in the style of EPRL. We expect that the asymptotic analysis in this case may lead to some unphysical sectors due to non-extremality of the necessary embeddings777This problem is probably absent in Barrett-Crane model [12]..
We will give heuristic explanation of this fact. With the use of normal we can identify bivector in Minkowski spacetime with two vectors perpendicular to by formula
[TABLE]
Regarding bivectors as generators of group we can write classical version of EPRL constraints imposed on the embedding. After some rearrangements we obtain:
[TABLE]
These are quadratic constraints whereas simplicity would be:
[TABLE]
Let us now describe case by case if from (6) follows (7).
- •
In the standard EPRL case: is timelike so and are spacelike so from (6) simplicity follows trivially as the only spacelike vector with norm zero is the zero vector.
- •
In the extended EPRL case with spacelike face: is spacelike but is timelike. From (6) we know that is null. But there is no nontrivial null vector that is perpendicular to a nontrivial timelike vector, so .
- •
In the extended EPRL case with timelike face: is spacelike and is spacelike. In this situation it might happen that (simplicity fails).
As the simplicity (7) is crucial for the reconstruction of simplex we suspect that there might be some non-geometric configurations for timelike faces.
1.3 Asymptotic analysis (conjecture)
The vertex amplitude is given by an oscillatory integral over an infinite domain. We would like to apply version of stationary phase analysis as presented for example in [50]. However in order to give a proper asymptotic result several technical conditions need to be satisfied.
finiteness. It is not known whether the evaluation of a spin network in the extended EPRL model is, in fact, finite. It was proven, but only for the standard EPRL setting (with all tetrahedra spacelike), that the integral defining the amplitude is absolutely convergent [61, 62]. The condition (well-definiteness of the definition) is necessary for any statement about the amplitude to make sense. 2. 2.
lack of boundary contributions. As the integral is over infinite domain with boundaries (or equivalently using compactification over domain with boundary) there might be some additional contributions to asymptotic expansion given by a version of Watson lemma. This is true as well in standard EPRL case (as the integration is over infinite domain), however in the extended set-up boundary is much more complicated. Preliminary check in the simpler Barrett-Crane model suggests that such contributions in fact appear but only for special boundary configurations that correspond to null (degenerate tetrahedra)888In Barrett-Crane model only areas are specified but boundary contribution corresponds to a geometry of 4 simplex with null tetrahedra. In extended EPRL set-up one has additionally finite boundary of integrations. The integral at this boundary decays fast unless the spin of suitable representation is zero (degenerate or null face). This suggests that boundary contributions are related to null structures and we make the following conjecture: For nondegenerate boundary data (that excludes null faces and tetrahedra) there are no contributions from the boundary of integration. This issue was not addressed in any asymptotic analysis of the Lorentzian spin foam models so far. It is not a problem for the Euclidean models, as there is no boundary of the integration. 3. 3.
critical point non-degeneracy condition. An additional assumption is that, after suitably taking into account the symmetry of the action, the remaining matrix of second derivatives (Hessian) at the critical point is non-degenerate. This condition was never addressed in full generality in the analysis of the vertex amplitude. It was only checked for specific configurations in the standard EPRL model [35]. It is known that for the Barrett-Crane [12] spin foam models there are special configurations for which Hessian is degenerate [63]. However, this is probably related to the fact that the proper variables used in semiclassical description of this model are areas and conjugated angles [64, 65, 66] and there is some singularity in going from these variables to shapes. We conjecture that the Hessian is non-degenerate for the EPRL spin foam model for non-degenerate boundary data if the reconstructed simplex is non-degenerate. The Hessian determinant is important for the asymptotic analysis as it determines asymptotic measure factor in the spin foam path integral. However, it is notoriously difficult to compute in terms of geometric quantities. The only known result for generic case is for the Barrett-Crane model [63]. If non-degeneracy fails, the scaling behaviour is different.
These issues definitely deserve a separate treatment and we leave them for future research. Under these conditions our results would give a proper asymptotic expansion of the extended EPRL vertex amplitude (see [50] and for the form of asymptotic vertex amplitude [35]).
1.4 Outline of the proof
In this paper we decided to give basically complete and detailed proof of the result. There are several reasons for that. First of all many of the subtle details of the classification of solutions are scattered in the literature and it is not easy to determined state of the affair. It is hard to find proof (extending to general case i.e. not using special properties of ) that there are at most two critical points or that there are no critical points if orientations matching condition is not satisfied. Moreover, the extended EPRL model has more complicated geometry than the standard one. For example relation between two different critical points is more complicated than in standard case (they are not merely related by conjugation).
Because of that our paper is painfully long so for convenience of the reader we provide here an outline of the proof. We decided to work directly with the integral of EPRL -maps contracted using invariant bilinear form . It is in contrast to approach of [35] where integrals over are perform analytically and a critical point is described by group elements . The reason is that in extended case there are many subcases and the result would lead to higher complexity of the problem. This however means that there are more variables and our critical points are characterized by group elements and and in addition spinors .
First task is to write all the cases in the unified manner allowing to treat them at once. This is done in Section 2 and Section 3. After achieving this we concentrate on describing critical point conditions. In order to do this we need to derive certain properties of the action Section 4 (detailed exposition in appendix D). Critical points are written in terms of group and spinor variables. We can then use traceless matrices instead of spinors (proved in Section 4) obtaining what we call * solution*. Up to additional information of spin lifts this are equivalent to geometric solution introduced in Section 5. The latter consists of a bunch of group elements that transform given boundary face bivectors such that they fit together.
As we know from standard EPRL asymptotic analysis two degenerate critical points can correspond to one geometric solution but in different signature. In order to incorporate this we develop theory of geometric solutions in arbitrary signature in Section 6. We show relation of the simplex to geometric solutions (classifications in terms of reconstructed simplices) in general. We have now direct correspondence between critical points and simplices. In Section 7 we show how to construct simplex of different signature from two degenerate critical points (vector geometries) in signature. In order to finish the proof we need classification that there are only two nondegenerate , two vector geometries or single critical point. This is done in Section 8 together with the proof that if lengths matching condition is satisfied, but not the orientations matching condition then there is no critical point.
Parallelly to geometric description we compute difference of the phases between two critical points. As in the case of critical point description we lift the computation from original spinor description into the geometric description (or other signature computation). The problem with this approach is that in this way we loose some finite ambiguity of multiple of that need to be regained by the topological deformation argument. Most of the phase computation is done in Section 9.
Contents
2 Vertex amplitude in extended EPRL model
In this section we will describe extended EPRL embeddings [16, 32] and the construction of the vertex amplitude for a simplicial graph that was described in the introduction. The vertex amplitude in the spin foam models [67, 68, 21] is the evaluation of a certain spin network. This spin network consists of links labelled by irreducible unitary representations of and nodes labelled by invariants in the tensor product of representations from links meeting in the node. These invariants are elements of a certain distribution space. Naïve evaluation would be the contraction of invariants according to the prescription given by the spin network. This prescription, while valid for a compact group, gives infinity for and some gauge fixing [69, 61, 12] is necessary (see 2.7).
The spin network we consider is defined on a graph with five nodes connecting every node to every other one with precisely one link. We parametrize links by the two nodes that they connect. The invariants at the nodes are given by group averaging the EPRL Y-maps (see section 2.4),
[TABLE]
where the group is a subgroup stabilizing the normal , are links meeting in the node and is certain representation of . Invariants of the subgroup are thus together with labels and type of the subgroup (determined by ) the boundary data for the vertex amplitude.
We are interested in the asymptotic analysis for large labels. In such a case one needs to specify a family of boundary states with certain semiclassical limit. Examples of such states are given by coherent states (they scale nicely with the scaling of labels) integrated over the subgroup:
[TABLE]
We will now describe in unified manner the choice of coherent states and their image under the Y-map. We will present also the form of the vertex amplitude (using bilinear forms used to contract invariants [35]).
2.1 Notation
Let us summarize notation about spinors and double cover. We use signature .
Let us introduce as follows
[TABLE]
We have the following isomorphism from Minkowski space into Hermitian matrices
[TABLE]
The symplectic form is defined as
[TABLE]
We will also use a notation for two spinors and
[TABLE]
Let us also introduce
[TABLE]
The following holds
[TABLE]
Together and form matrix, but as we always work in either self-dual or anti-self-dual representation we prefer such a notation.
From standard commutation relation we have
[TABLE]
The isomorphism from to is defined by
[TABLE]
Lie algebra of can be identify with bivectors ( forms). The action of bivectors on vectors is defined by contraction with the use of the metric
[TABLE]
The identification of with is then given on the basic simple bivectors by
[TABLE]
With the right choice of the orientation the Hodge operation corresponds to multiplication by of the traceless matrix.
2.2 Representations of
Unitary irreducible representations () from the principal series are functions
[TABLE]
satisfying the condition
[TABLE]
with the action of defined by
[TABLE]
We are using the convention of [35], as opposed to that of [70]. The latter is equivalent to the action
[TABLE]
These two actions can be related due to
[TABLE]
The scalar product for two such functions and is defined as follows: Let us introduce a form
[TABLE]
where
[TABLE]
The form (27) is invariant under the scaling transformation
[TABLE]
and is annihilated by the generator of this transformation, thus it descends to a form on
[TABLE]
2.3 Subgroups preserving the normal
The subgroup of that preserves the normal is the image of the subgroup of that preserves as follows
[TABLE]
this is equivalent to preserving Hermitian form defined by
[TABLE]
It follows from the fact that
[TABLE]
for .
2.4 The Y map
Let us review the generalized EPRL construction. As explained in the introduction, we will work only with spacelike surfaces. Let us consider a normal vector
[TABLE]
where for timelike, for spacelike vector. Let us consider stabilizing group . In the case of ,
[TABLE]
and it is exactly for . For
[TABLE]
and it is exactly for .
We will consider only standard normals and . We will also denote either of them by as we would like to work in a unified setup. We denote .
The EPRL map is an embedding of the unitary representation of the stabilizing group into unitary representation of that satisfies a certain extremality condition. Let us recall the choice of made by [16, 32]
Spin , representation of embedded into for 2. 2.
Discrete series of spin representations of embedded into for
2.5 Coherent states
All three families of representations have certain common features. Let us consider the generator of rotations around the axis. We can introduce bases of eigenfunctions. In all three cases there exists an extreme eigenvalue. The corresponding eigenfunctions are (Perelomov-)coherent states [71, 49, 70] (see Appendix C)999We do not need to consider for since it will be obtained from eigenstate by rotation.
- •
For
[TABLE]
- •
For
[TABLE]
where and and is the Heaviside step function.
All other coherent states are obtained by transforming these basic coherent states by group action of . In fact these states can be parametrized by spinors:
[TABLE]
and for
[TABLE]
where .
2.6 Bilinear invariant form
Let us recall the definition of the bilinear, -invariant form [72]
[TABLE]
where are elements of the -representation , and is defined in (28).
2.7 The vertex amplitude
We can now consider the vertex amplitude in the spin foam model. Let us consider the pentagonal graph [35] with five nodes and links connecting each node with each other.
- •
for every node we choose a canonical normal that determines an embedded subgroup (either or )
- •
for every directed link starting in the node we chose a type of embedded representation (in case of it can be or and for it is )
- •
for every directed link starting in the node we chose a spinor that determines a coherent state (in representation of ) that we will denote by
This data is a boundary data for the vertex amplitude of the extended EPRL Spin Foam model [35, 32].
The vertex amplitude is given by an integral
[TABLE]
where
[TABLE]
and the is a gauge fixing. We will denote and the variables and in the integral for nodes .
3 Stationary phase approximation
In this section we will write the amplitude from section 2.7 in a form suitable for the stationary phase method. We will consider the uniform scaling of the representations (we remind that and are related by the simplicity constraint)
[TABLE]
and we want to organize the integral in the form . This will provide a definition of the action. The amplitude is written as integral of the product of many terms and we will focus on each term separately. The total action will be the sum of these partial contributions.
We will write conditions for the critical points of this action in terms of holomorphic derivatives, since that is the form that we will use later.
We will assume that . Again, we expect that representations are of special interest. They should correspond to null surfaces.
3.1 Scaled amplitude
We denote the normal stabilized by the embedded group by ,
[TABLE]
The coherent states decompose under the scaling in the following way,
[TABLE]
where independent of
[TABLE]
with notice that for , on the whole . Function is given explicitly (uniform description) by
[TABLE]
where
[TABLE]
with
[TABLE]
The factors are independent from and
[TABLE]
Similarly, we can decompose the integral kernel of as
[TABLE]
where ,
[TABLE]
The differential form
[TABLE]
descends to as a measure (smooth in the interior of its support).
Similarly101010The scaling invariance of and descendent property of is a general fact., as the integrand form is invariant under rescaling of also the part scaled uniformly with need to be invariant. The amplitude
[TABLE]
is invariant under rescalings , and thus projects down to a function on .
We will write the vertex amplitude as an integral of the form:
[TABLE]
where for large ,
[TABLE]
3.2 Action
We observe, that is of the form
[TABLE]
so we conclude . Similarly we will prove that (lemma 42).
Now we define
[TABLE]
and
[TABLE]
We note that as written above, the various are multi-valued functions defined up to multiplicity of , but as long as the product of the is nonzero, we can always work in a local branch. We have
[TABLE]
and
[TABLE]
The action of the amplitude depending on and is given by
[TABLE]
where
[TABLE]
Similarly we can also define auxiliary .
The integration is restricted to the domain where for all
[TABLE]
3.3 Gauge symmetries of the action
The following transformations labeled by ,
[TABLE]
preserve the non-gauge fixed action. The -part of this transformation is gauge fixed by the term. We can still consider variations with respect to of the action, they are just not independent of the others.
The subgroup of gauge transformations with will be called -gauge transformations.
3.4 Critical points
According to the stationary phase method111111Justification of the applicability is left for future research, as discussed in the introduction. [50], in the large regime the amplitude is dominated by contributions from the critical points (manifolds) where the following conditions are satisfied: the reality condition
[TABLE]
and the stationary point condition
[TABLE]
Here denotes the standard variation, to be distinguished from the holomorphic variation that we will introduce later.
We will use variational calculus (form) notation for derivatives: We denote
[TABLE]
where the variations are of the form:
[TABLE]
with taking values in the Lie algebra of . Let us notice that
[TABLE]
We will also use variations with respect to single variables that we will denote as
[TABLE]
that are variation with single (and respectively single ) nonzero.
A critical point for the given boundary data (spinors , vectors and the types of embedded representations) consists of a collection of
[TABLE]
satisfying the reality condition and the stationary point conditions () i.e.
[TABLE]
There are gauge transformations acting on the critical points.
3.5 Reality condition and holomorphic derivatives
We will consider action as a function of holomorphic and antiholomorphic variables121212 For our purpose of computing first derivatives, we can assume that all variables are group elements in considering instead of . . We will prove later (see lemma 4) that
[TABLE]
However this holds only when and are complex conjugated (we will call this set real manifold). We will consider now complexified manifold where these group elements are independent. We denote holomorphic and antiholomorphic variations with respect to these group elements by and .
Definition 1**.**
A point satisfies the reality condition if it is in the real manifold and .
Lemma 1**.**
If the action and on the real manifold then
[TABLE]
Proof.
The inequality
[TABLE]
is saturated only if ∎
Lemma 2**.**
When reality condition are satisfied then
[TABLE]
when in the second equality we took
Proof.
The real variation of is zero when reality condition are satisfied (from extremality) so
[TABLE]
that can be written as
[TABLE]
but we also have
[TABLE]
The equality is thus
[TABLE]
From arbitrariness of
[TABLE]
We can also compute
[TABLE]
for . ∎
Lemma 3**.**
When the reality conditions are satisfied, then the stationary point conditions are equivalent to vanishing holomorphic derivatives.
Proof.
It follows from lemma 2 that
[TABLE]
where we took . As holomorphic variables can be multiplied by we see that a vanishing holomorphic derivative is equivalent to a vanishing real variation. ∎
3.6 Holomorphic critical point conditions
Let us now rephrase the critical point conditions in holomorphic language:
A critical point for a given set of boundary data (spinors , vectors and the type of embedded representation) consists of a collection of
[TABLE]
(on the real manifold) satisfying the reality condition
[TABLE]
and the stationary point conditions ()
[TABLE]
There are gauge transformations acting on the critical points.
4 Traceless matrices, spinors and bivectors
In this section we will describe the connection between spinors and Lie algebra elements of (traceless matrices). Using this connection, we will show that critical points can be described in terms of traceless matrices satisfying certain conditions (we will call it solution). This will allow us later to translate it into geometric language of the Lorentz group and bivectors. We will also compute the (difference of the) phase between two critical points.
4.1 Traceless matrices
We will now recall some properties of spinors that we will use to translate the critical point conditions into the language of traceless matrices. Proofs are provided for the convenience of the reader in Appendix D.
Let us assume that is traceless then
[TABLE]
for the symplectic form of (13), and for spinors and
[TABLE]
as . Every traceless matrix with eigenvalues can be written in the form
[TABLE]
with , uniquely determined up to common rescaling (see lemma 39 in Appendix D). This property allows us to work purely in terms of traceless matrices.
4.2 Variations and reality conditions
In order to avoid overburden the notation we will in this subsection suppress indices and write as . Let us consider normal and normalized spinor and ,
[TABLE]
the action part of the amplitude depending on and
[TABLE]
where (the integration is restricted to the domain where
[TABLE]
and
[TABLE]
where
[TABLE]
In fact although there are many different cases one can prove (see appendix D) that on real manifold
[TABLE]
and the equality holds if and only if
[TABLE]
Lemma 4**.**
On real manifold and under condition
[TABLE]
where
[TABLE]
and
When reality condition is satisfied then
[TABLE]
where
[TABLE]
with spinors
[TABLE]
and
4.3 Variations with respect to
The edge action can be divided into pieces
[TABLE]
We parametrize by traceless as follows
[TABLE]
all variations can be written this way but is not unique.
Lemma 5**.**
**
Proof.
Function depends only on thus is invariant under variations such that . Examples of such variations are
[TABLE]
In this case , so taking variation as in the thesis we get the result. ∎
We will from now on abuse notation and regard for .
Lemma 6**.**
Let us introduce a traceless matrix such that
[TABLE]
then
[TABLE]
where
[TABLE]
Spinors and are determined up to complex scaling by
[TABLE]
Moreover .
Proof.
We have
[TABLE]
and it can be written as
[TABLE]
Together with (433) it can be transformed into form from the lemma. Characterization of and follows from lemma 38. ∎
4.4 Critical point conditions and boundary data
The boundary data (spinors , normal vectors and types of embedded representations) can be summarized by
- •
normal vectors,
- •
,
- •
spinors,
- •
,
A critical point for a given boundary data consists of a collection (real manifold)
[TABLE]
satisfying (82)
[TABLE]
and reality conditions
[TABLE]
Condition (113) is equivalent to ()
[TABLE]
There are gauge transformations acting on the critical points and they are parametrized by and
[TABLE]
Gauge fixing condition fixes gauge transformations.
4.4.1 solutions
We can now translate critical point conditions into language of traceless matrices
Definition 2**.**
* solution for the boundary data consists of*
[TABLE]
determining traceless matrices by conditions
* where*
[TABLE] 2. 2.
** 3. 3.
** 4. 4.
**
The gauge transformations are parametrized by
[TABLE]
Lemma 7**.**
* solutions are in bijective correspondence with critical points up to gauge transformations. An solution is determined by group elements of the critical points and then*
[TABLE]
The gauge transformations are acting the same way on both sides of the correspondence.
Proof.
Critical point determines geometric solution determining traceless matrices from and . They satisfies all assumptions of solution.
In the opposite direction we need to find such that traceless matrices and are such that
[TABLE]
This can be determined using lemma 38 and 6. In fact and need to be eigenvectors of (or equivalently )
[TABLE]
Matrix has exactly such eigenvalues because and has such eigenvalues. This determines up to gauge transformations.
From equality we get
[TABLE]
thus
[TABLE]
where
[TABLE]
By lemma 39
[TABLE]
and this is just reality condition. We see now that with our choice of
[TABLE]
and from reality condition (by lemmas 4)
[TABLE]
The remaining conditions of critical point can be written in terms of matrices and and are the same as conditions for solution.
The are determined up to gauge transformations. ∎
4.5 Determination of the phase
Let us compute the value of the edge part of the action in the critical point We can choose a gauge for such that
[TABLE]
In such a case
[TABLE]
The only contribution to the action comes from the amplitude
[TABLE]
From equality of traceless matrices from lemma 39 and (126) (taking into account gauge fixing)
[TABLE]
but similarly
[TABLE]
This gives equalities (where we introduced )
[TABLE]
The phase amplitude is then
[TABLE]
4.5.1 Difference of the phase amplitude between two critical points
Changing phases of coherent states changes also the total phase. However difference of the phases of two different critical points is invariant under such transformation. Our goal is to determine this phase for two critical points
[TABLE]
As and are determined by boundary data they are the same in both critical points thus
[TABLE]
So we have ()
[TABLE]
Using and we can write
[TABLE]
where we introduce
[TABLE]
We also have
[TABLE]
We have for
[TABLE]
Using fact that
[TABLE]
and the properties of we see that
[TABLE]
where we introduced .
Lemma 8**.**
The phase difference between critical points defined by two solutions and is equal
[TABLE]
where and are real numbers determined by
[TABLE]
where .
Proof.
It is enough to transpose (152) and (147). ∎
5 The geometric solutions
We will translate our description into language. We will also extract necessary geometric boundary data from the boundary data given by spinors . This section is devoted to the relation between the two descriptions.
5.1 Spin structures
Let us notice that EPRL construction makes sense only if certain integrability condition holds
[TABLE]
because only then the intertwiners space (defined in the distributional sense) is nonempty. We assume this condition for every boundary tetrahedron. The vertex integral and the action (defined up to ) are then invariant under the following transformations
[TABLE]
The transformations of this kind will be called spin structure transformations.
5.2 Bivectors and traceless matrices
Generators of are matrices in that are antisymmetric after lowering an index. They can be identified with bivectors. Generators of are traceless matrices. The isomorphism between these Lie algebras is given on simple bivectors by
[TABLE]
With the standard choice of the orientation, Hodge operation corresponds to multiplication by of the traceless matrix. We also have for two bivectors and
[TABLE]
The bivector is spacelike if and mixed if and . The image of traceless matrix with purely imaginary eigenvalues is spacelike.
We assume that the representations satisfies (spacelike faces conditions)
[TABLE]
Then traceless matrices have the property that
[TABLE]
5.2.1 Characterization of the bivectors
We can characterize (see lemma 46 in the Appendix)
Lemma 9**.**
We have
[TABLE]
where and the null vector is given by
[TABLE]
It is future directed if and past directed if . The vector is determined by
[TABLE]
We can now characterize bivectors in terms of 3 dimensional geometry in the space perpendicular to .
Definition 3**.**
The geometric boundary data are sets of vectors
[TABLE]
with norm that are obtained form spinors as a projection onto space orthogonal to of the null vectors defined by
[TABLE]
Let us notice what follows from the previous subsection:
- •
For () is spacelike,
- •
For and , is timelike future directed,
- •
For and , is timelike past directed,
5.3 Geometric solutions
The inversion is defined by
[TABLE]
It does not belong to .
Let us introduce notion of geometric solution
Definition 4**.**
The geometric solution is a collection
[TABLE]
such that bivectors
[TABLE]
with defined by the boundary data (definition 3) satisfy
[TABLE]
Two geometric solutions , are gauge equivalent if there exists and such that
[TABLE]
Gauge transformations
[TABLE]
are called inversion gauge transformation.
Let us notice that necessary condition (170) for a critical point is in fact a condition for the boundary data. It is called closure condition [35] 131313This is condition for non-decaying for of the invariant in the case of . Arguably it is also condition in the case of for non-decaying of the invariant defined in the distributional sense. The issue deserve separate treatment and it will not be address in the present paper.
[TABLE]
We will always assume that boundary data satisfies the closure condition.
Let us notice that from 5.2.1 we know that
[TABLE]
is a spacelike bivector.
Lemma 10**.**
There exists bijection between solutions up to spin structure transformations (156) for the given boundary data satisfying the closure condition and geometric solutions up to inversion gauge transformations for the corresponding geometric boundary data. The map from solutions is given by
[TABLE]
and then also
[TABLE]
The gauge transformations correspond to gauge transformations.
Proof.
From any solution we produce in this way geometric solution. The map identifies only points that differ by spin structure transformations. Two gauge equivalent solutions are mapped into gauge equivalent geometric solutions. We need only to show that in every class up to gauge inversion transformations there exists an element that is the image of solution.
Let us choose an geometric solution. By inversion gauge transformation we can assume that all . The preimages of such group elements constitute solution. ∎
Comment: Transposition is a price one need to pay for following notation from [35].
6 Geometric reconstruction
In the previous section we determined that critical points modulo gauge transformations are in one to one correspondence with geometric solutions. In this section we will classify the latter141414The classification was done in [12, 69, 34], see also [36, 17], but in a bit different set-up.. Geometric solutions divide into non-degenerate and degenerate ones. With the first class we can associate non-degenerate Lorentzian simplices. However with the pair of degenerate geometric solutions we will (in section 7) associate simplex in other than Lorentzian signature. For this reason we want to provide classification in arbitrary signature.
6.1 Notation
We will denote all operations in this arbitrary metric by underline i.e. (Hodge star , scalar product and contractions with use of the metric and ).
We can introduce reflections with respect to the normalized (to vector )
[TABLE]
where we lowered index with use of the metric. Notice that .
We can also introduce inversion
[TABLE]
Depending on the signature inversion belongs ( and ) or does not () to the connected component of identity. It is however always in special orthogonal subgroup in dimension . The reflections do not belong to special orthogonal subgroup thus neither to connected component of identity. We denote special orthogonal subgroup by and its connected component of identity by .
6.2 Geometric solution
We will first define geometric version of the boundary data
Definition 5**.**
The ( geometric) boundary data is a collection
[TABLE]
where is a canonical normal, . We will say that the boundary data is non-degenerate if for every , every out of vectors are linearly independent.
Set of canonical normals is such that every normalized vector , can be rotated by an element of to exactly one of canonical normals151515For it can be chosen as , for as . For we can choose if we assume that they have different norms, but in the asymptotic analysis only will play a role..
Definition 6**.**
The geometric solution for the geometric boundary data is a collection
[TABLE]
such that bivectors
[TABLE]
satisfy
[TABLE]
Two solutions , are gauge equivalent if there exists and such that
[TABLE]
We can associate with this data normals .
Definition 7**.**
Geometric solution is non-degenerate if every four out of five span the whole . It is degenerate if this condition is not satisfied.
6.3 Geometric bivectors
For convenience of the reader we provide in Appendix F a construction of bivectors related to faces of the simplex that we will denote by and call geometric bivectors. The construction works also for degenerate cases and depends on the order of vertices.
If the simplex is nondegenerate we can introduce outer directed normal (see 6.3)and certain numbers related to volumes of tetrahedra (see Appendix F) such that
[TABLE]
In fact,
- •
,
- •
,
- •
.
For a spacelike face its area is equal to
[TABLE]
and is volume of the simplex form (see Appendix F)161616It differs by from the volume of the simplex..
6.4 Reconstruction of normals from the bivectors
Suppose that we have bunch of bivectors that come from some non-degenerate geometric solution. We can reconstruct from them up to a sign. We assume that for the fixed span the whole space perpendicular to (for example the boundary data is non-degenerate).
Lemma 11**.**
Let us assume that we have a geometric solution for the non-degenerate geometric boundary data. Then the following are equivalent for the chosen and vector
- •
,
- •
.
Proof.
We know that
[TABLE]
If there is independent vector satisfying the same equation, then
[TABLE]
This contradicts non-degeneracy of the boundary data because every out of should be independent. The vector needs to be proportional to and from normalization of it follows that . ∎
6.5 Reconstruction of bivectors from the knowledge of
We will now reconstruct bivectors from normals . In fact out theorem works in any dimension in arbitrary non-degenerate signature.
Theorem 2**.**
Let us assume that in we have normalized to vectors , , such that (nondegeneracy) any out of vectors span the whole . Then there exist vectors
[TABLE]
such that
- •
for every
[TABLE]
- •
for all ,
[TABLE]
A solution to equations (190) and (191) is given by:
[TABLE]
where constants are nonzero solutions of
[TABLE]
For any other solution there exists a constant such that
[TABLE]
The solution is independent of changing some of by sign.
Proof.
Let us first prove uniqueness of such solution up to scaling. Let us assume such are given. There is exactly one solution (up to a scaling by real constant) of the equation
[TABLE]
as there are vectors in dimensional space and every out of are independent. The constant are all nonzero (in the nontrivial solution) and in fact they will turn out to be proportional to signed volumes of the tetrahedra of the simplex with normal 171717This is called Minkowski theorem [55] see also [56, 57], but in arbitrary signature and for simplices. We do not know any reference for general Minkowski theorem in other than euclidean signature..
Let us notice that are simple bivectors because they are annihilated by two independent normals
[TABLE]
so there need to exists constant such that
[TABLE]
We have for every
[TABLE]
so we have
[TABLE]
for some . This equation has a unique up to a constant solution so
[TABLE]
From the symmetry
[TABLE]
so we have and
[TABLE]
for some constant and finally
[TABLE]
This shows uniqueness up to a scaling. To show existence it is enough to check that such constructed forms satisfy requirements (that is just reversing all arguments).
As changing by sign also change by the same sign, the are independent of the choice of sign of normal vectors. ∎
Bivectors satisfies requirements for normals .
6.6 Nondegenerate bivectors and -simplex
We can now prove that non-degenerate geometric solution determines -simplex uniquely up to shifts and inversion.
Theorem 3**.**
Given a non-degenerate geometric solution there exist exactly two -simplices (defined up to shift transformations) such that
[TABLE]
where . They are related by inversion transformation and for both the sign is the same.
Proof.
We will first prove that there exists such simplex. We take any planes orthogonal to . They cut out a simplex . This simplex is unique up to shifts and scaling by a real number (changing the size and applying the inverse).
The bivectors of any of these -simplices satisfy from reconstruction from normals (see Theorem 2):
[TABLE]
Under scaling transformation (by real number , so also under inverse) the bivector changes by . There exist exactly two scalings that brings the bivectors to
[TABLE]
The sign cannot be changed but it depends on the choice of orientation.
Uniqueness: From bivectors we can reconstruct (sign ambiguity). For any choice of the signs we reobtain the same simplices. ∎
The sign seems to be an additional data in the reconstruction.
Definition 8**.**
We call the constant from the reconstruction for geometric solution, geometric Plebański orientation.
Constant relates chosen orientation of with the orientation defined by order of tetrahedra.
We have
[TABLE]
where is volume of the simplex (see 6.3).
6.7 Uniqueness of Gram matrix and reconstruction
For the non-degenerate geometric solution the edge lengths of the tetrahedron in the simplex can be reconstructed from bivectors , . Let us now consider single -th tetrahedron. As is a rotation the shape of the tetrahedron with bivectors is the same as the shape of the tetrahedron with bivectors
[TABLE]
which are determined by the geometric boundary data.
Lemma 12**.**
If the geometric boundary data is non-degenerate then for every there exists a unique up to inversion and translations tetrahedron with face bivectors
[TABLE]
in the subspace with .
Proof.
Let us fix . We cut a tetrahedron with planes perpendicular to in in generic position. Its bivectors are proportional to thus
[TABLE]
From the closure condition we know
[TABLE]
As are perpendicular to from non-degeneracy
[TABLE]
By rescaling of the tetrahedron we can get . ∎
This determines edge lengths uniquely as functions of . Let us denote the signed square lengths of the edge
[TABLE]
This numbers are defined for pairwise different and are symmetric in .
Definition 9**.**
The geometric boundary data satisfies lengths matching condition if is symmetric in all its indices.
The lengths matching condition is necessary for existence of non-degenerate geometric solution.
If lengths matching condition is satisfied we define signed square lengths
[TABLE]
These lengths determines simplex unique up to orthogonal transformation and shifts (see [73, 74] for description of the matching conditions).
Theorem 4**.**
For the signed square lengths from non-degenerate geometric boundary data satisfying lengths matching condition we introduce lengths Gram matrix of the simplex
[TABLE]
Let us denote the signature of by
- •
If then there exists a unique up to transformations non-degenerate simplex in the spacetime with signature with these lengths. There are two inequivalent -simplices up to transformations
- •
If then there exists a unique up to transformations degenerate simplex in the signature with these lengths.
Proof.
It is more convenient to work with the matrix with elements
[TABLE]
that should correspond to the matrix of suitable scalar products. By a change of basis we can transform to the block diagonal form where one block is \left(\begin{array}[]{cc}0&1\\ 1&0\end{array}\right) and the second block is . The signature of is thus . There exist matrix with columns and rows with full range such that
[TABLE]
because is symmetric with given signature. The simplex can be constructed as follows. Choose arbitrary and define for by
[TABLE]
This simplex has a prescribed lengths. Let us now compare two different simplices with vertices and . Both and need to satisfy (217). Since and have the same kernel (kernel of ) and full range there exists such that
[TABLE]
and it satisfies
[TABLE]
We have thus
[TABLE]
as and are arbitrary we obtained uniqueness of the solution up to desired transformation. ∎
Suppose that and then we can affinely embed spacetime of signature into spacetime of signature . Even if we can reconstruct degenerate -simplex in dimensions up to transformations. However signature is not unique.
If we introduce normals to tetrahedra of two such simplices and then there exists and such that
[TABLE]
that are exactly gauge transformations of the geometric solution.
6.8 Geometric rotations
Suppose that we have a non-degenerate boundary data and the Gram matrix (215) is non-degenerate. From the lengths Gram matrix we can reconstruct geometric non-degenerate simplex (up to transformations). Let us choose one of the simplices and compute geometric bivectors and normals .
For normals we will introduce vectors
[TABLE]
that are normals to the faces of -th tetrahedron recovered from geometric bivectors. We have
[TABLE]
Lemma 13**.**
If the lengths matching condition is satisfied then
[TABLE]
Proof.
This is equivalent to
[TABLE]
Both bivectors are bivectors of either reconstructed th tetrahedron in simplex or reconstructed boundary tetrahedron in the space perpendicular to . Similarly as for simplex we can prove that the two tetrahedra differs by rotation . The scalar products are thus preserved181818These scalar product can be computed by a version of Cayley-Menger determinant [75].. ∎
We can introduce group elements for any by conditions
[TABLE]
There are conditions but only are independent (closure conditions are the same for and vectors).
Lemma 14**.**
Elements .
Proof.
Both and are of the same type normalized, and perpendicular to the rest of the vectors. The shapes of tetrahedra are also the same so scalar product between vectors are preserved. This is however the definition of being orthogonal. ∎
6.9 Relation of to
We would like to compare from the definition of geometric solution with obtained from (where for ). We know that there exist such that
[TABLE]
and
[TABLE]
so because both and are orthogonal to we have
[TABLE]
thus
[TABLE]
Lemma 15**.**
Geometric solutions are in 1-1 correspondence with reconstructed from lengths -simplices and choices and such that
[TABLE]
The relation is given by
[TABLE]
Proof.
The condition for to be a geometric solution is . This is equivalent by (230) to
[TABLE]
∎
Let us notice that as there is only one reconstructed simplex up to rotation from thus two geometric rotations are always related by
[TABLE]
thus
[TABLE]
and we can introduce a definition
Definition 10**.**
Suppose that the geometric boundary data satisfies the lengths matching condition. We say that it satisfies orientations matching condition if for any (and thus for all) reconstructed simplices
[TABLE]
Let us notice that after we choose reconstructed simplex ( transformation), the choice of is arbitrary and corresponds to involution gauge transformations. The value of is fixed by
[TABLE]
and it is Plebański orientation.
Theorem 5**.**
The non-degenerate geometric solution exists if and only if the geometric boundary data satisfies the lengths and orientations matching conditions. If we have one gauge equivalence class of geometric solutions then the representative of the second one is given as follows
[TABLE]
where is any normalized to vector. The second class corresponds to reflected simplex. Any non-degenerate solution is gauge equivalent to one of these two.
Proof.
The identification comes from lemma 15 and the description of the gauge transformations. There are two reconstructed -simplices up to rotations. The choice of corresponds to involution gauge transformations.
Given such simplex from one class the representative of the second class can be obtained by applying a reflection
[TABLE]
Thus for geometric solutions
[TABLE]
where is normalized. The equation (238) follows by applying an inversion gauge transformation. ∎
6.10 Classification of geometric solutions
We will consider only the case of non-degenerate boundary data that is that for every , every out of vectors are independent. General classification was done in [34].
Lemma 16**.**
For a geometric solution for a non-degenerate geometric boundary data for any different one of the following holds
- a)
* and *
- b)
**
Proof.
The conditions are exclusive. Suppose neither holds, then and their are not parallel to . In this case
[TABLE]
but this contradicts non-degeneracy of the boundary data. Thus exactly one of the two conditions must be satisfied. ∎
Lemma 17**.**
There are two exclusive possibilities for solution for a non-degenerate geometric boundary data:
- a)
All are parallel.
- b)
Geometric solution is non-degenerate.
Proof.
From lemma 16 we can conclude that either all are parallel or they are pairwise independent
[TABLE]
Let us consider the second case. We will prove that there exists only one (up to a scaling) solution of
[TABLE]
and for nontrivial solution all . As there are vectors in dimensional space at least one solution exists. We know that
[TABLE]
as is independent of .
For any
[TABLE]
as are perpendicular to
[TABLE]
from non-degeneracy of as for any . The ratio of to is fixed and nonzero for . However choice of is arbitrary so the solution is unique up to a constant and with all .
This is equivalent to the solution being non-degenerate. ∎
7 Other signature solutions
Let us notice that from Lemma 17 it follows that in the case when are of different types and the boundary data is non-degenerate then degenerate geometric solutions cannot occur. The case of all timelike was describe in [35, 51]. In this case, if lengths and orientations matching conditions are satisfied then either the Gram matrix is degenerate and geometric solution corresponds to degenerate -simplex or critical points occur in pairs (there are exactly two geometric solutions) and one can associate with them an Euclidean -simplex. The difference of the phases is proportional to Regge action again, but the proportionality constant is different.
Our goal is to provide uniform treatment of both cases and where
[TABLE]
7.1 Vector geometries
Let us denote
[TABLE]
We can consider subgroup of that preserves
[TABLE]
Let us recall a notion of vector geometry introduced in [35].
Definition 11**.**
For the geometric non-degenerate boundary data (satisfying closure condition) we call a vector geometry a collection
[TABLE]
such that
[TABLE]
where , modulo gauge transformations
[TABLE]
We have
Lemma 18**.**
There is 1-1 correspondence between geometric degenerate solutions and vector geometries (up to gauge equivalence on both sides).
Proof.
As all are parallel there exists such that , where . We can apply rotation and inversion gauge transformations to get . We can thus assume that . The remaining gauge freedom is as in vector geometries.
In this situation so
[TABLE]
and we can define . One can check that all conditions for geometric solutions are equivalent to conditions for vector geometries. ∎
7.2 Other signature solutions
In this section we will relate pairs of degenerate solutions with non-degenerate simplex but of different than Lorentzian signature. We describe it in unified language applicable to both and .
Let us introduce auxiliary space that differs from Minkowski space by flipping the norm of
[TABLE]
where we used for lowering indices. We will use prime to distinguish operations related to this metric (Hodge star , scalar product , contraction with use of the metric ). We introduce
[TABLE]
Let us notice that restricted to both scalar products coincide, thus can be regarded as subspace of both as well . For vectors in we can use exchangeably both scalar products. The Hodge operation satisfies in
[TABLE]
and inversion . Let us introduce
[TABLE]
where we regard as a subspace of . Let us notice also that for
[TABLE]
The map is an isomorphism
[TABLE]
We can use this isomorphism to transform the action of from bivectors into . Let us notice that as preserves the decomposition into self-dual and anti-self-dual forms, the action is diagonal and we can define
[TABLE]
Lemma 19**.**
**
Proof.
The action on preserves the scalar product
[TABLE]
It can be translated into as follows. We need to compute
[TABLE]
but this is by (259) after cancellations
[TABLE]
Thus
[TABLE]
So preserves the scalar product on . ∎
Let us notice that the condition for simplicity of a bivector
[TABLE]
is equivalent to .
Lemma 20**.**
The following exact sequence holds
[TABLE]
where we defined
[TABLE]
and
[TABLE]
Proof.
Let us consider . The only group elements preserving all bivectors are and . We need to find now the image of . The image of a connected component is (dimensions of groups match). We need to determine the image of the group element
[TABLE]
as it is the generator of . We have and are equal and
[TABLE]
so , and the image is in the kernel of as .
In the case of
[TABLE]
by similar reasoning as before. ∎
Lemma 21**.**
Let us suppose that we have two vector geometries and then
[TABLE]
is equal for every .
Proof.
It is a trivial statement for . Let us consider .
It is enough to show that
[TABLE]
We know that
[TABLE]
so if one is future directed then the second is past directed. Group elements changing future into past directed vectors have thus
[TABLE]
for it is the same conditions thus . ∎
Lemma 22**.**
The two statement are equivalent for
- •
,
- •
**
and then for regarded as an element of
[TABLE]
Proof.
In one direction: follows from the definition of and (258) that
[TABLE]
so .
If then
[TABLE]
where . ∎
7.3 Correspondence
Let us notice that geometric boundary data with all can be regarded as geometric boundary data. We will call it flipped geometric boundary data.
Theorem 6**.**
There is a 1-1 correspondence between
- •
ordered pairs of two non-gauge equivalent vector geometries,
- •
geometric non-degenerate solutions (up to the inversion gauge transformations) for flipped geometric boundary data.
From the solution the two vector geometries are obtained as
[TABLE]
and .
Proof.
Let us consider geometric solution. We have
[TABLE]
so the following conditions are equivalent
[TABLE]
Let us now suppose that we have two vector geometries and . From lemma 21, is the same for all . By gauge transforming by such that we can obtain situation when
[TABLE]
so there exist (unique up to ) elements that constitute an solution.
Gauge equivalent geometric solutions are obtained from gauge equivalent pairs of vector geometries. The only thing that is left is to prove that the geometric solution is non-degenerate exactly when two vector geometries are not gauge equivalent.
Let us assume that the geometric solution is degenerate. As boundary data is non-degenerate, the geometric solution is degenerate when all are parallel. By gauge transformation (including inversion gauge transformation) we can assume that then
[TABLE]
so vector geometries were gauge equivalent.
Other way around, if two vector geometries are equivalent then by gauge transformation we can assume and by lemma 22. ∎
Lemma 23**.**
Suppose that we have a non-degenerate geometric boundary data satisfying lengths and orientations matching conditions. There is a 1-1 correspondence between gauge equivalent classes of geometric non-degenerate solutions and reconstructed simplices in (up to shifts and rotations). Gauge equivalent classes of non-degenerate geometric solutions occur in pairs related to reflected -simplices and their representatives are related by
[TABLE]
Let us notice the following identity for
[TABLE]
Two non-equivalent geometric solutions thus satisfy
[TABLE]
7.3.1 Orientations
We will now describe orientations matching condition in terms of self-dual and anti-self-dual forms. Let us introduce
[TABLE]
From simplicity of and (263) and (265)
[TABLE]
We can introduce by conditions
[TABLE]
Lemma 24**.**
**
Proof.
We can write where and . Let us notice that
[TABLE]
We have
[TABLE]
and as also
[TABLE]
we see that
[TABLE]
because and . ∎
8 Classification of solutions
In this section we will classify solutions and determine under which circumstances which geometric solution can occur. We assume that the boundary data is non-degenerate, that is, that for every , every out of the vectors are independent. Using the correspondence between the geometric solutions and critical points, this gives, in fact, a classification of the latter.
8.1 Non-degenerate simplices
Let us recall that non-degenerate geometric solution can occur only if the boundary data is non-degenerate.
Theorem 7**.**
Let us assume that the geometric boundary data is non-degenerate. Then the following are equivalent:
- •
lengths and orientations matching conditions are satisfied and the reconstructed -simplex is non-degenerate Lorentzian,
- •
there exists a non-degenerate geometric solution,
- •
there exist exactly two classes of gauge equivalent non-degenerate geometric solutions. We can choose their representatives and to be related by
[TABLE]
Proof.
Follows from theorem 5. ∎
If we have one geometric solution with additional choice of the gauge such that , then the representative of the second gauge equivalence class is given as follows:
[TABLE]
where we added
[TABLE]
such that also the are in the connected component of the identity.
Theorem 8**.**
Let us assume that the geometric boundary data is non-degenerate. Then the following are equivalent:
lengths and orientations matching conditions are satisfied, and the reconstructed -simplex is non-degenerate of split or Euclidean signature, 2. 2.
there exists a non-degenerate geometric solution for flipped geometric boundary data, 3. 3.
there exist exactly two gauge equivalence classes of non-degenerate geometric solutions for flipped geometric boundary data. We can choose their representatives and to be related by
[TABLE] 4. 4.
there exist at least two gauge equivalence classes of vector geometries and , 5. 5.
there exist exactly two gauge equivalence classes of vector geometries.
The vector geometries and are obtained from geometric solution by
[TABLE]
Proof.
The equivalences follow from lemma 23. : By theorem 6 from an ordered pair of non-equivalent vector geometries one obtains one non-degenerate geometric solution. If there existed a third class of vector geometries, then taking all 6 possible ordered pairs, one would obtain 6 different geometric solutions. This contradicts 3. is trivial. is just an application of theorem 6. ∎
8.2 Degenerate geometric solutions
In this section we will prove several results about vector geometries under assumption that the lengths matching condition is satisfied.
8.2.1 Possible signatures
Let us now suppose that lengths matching condition is satisfied and we have a vector geometry . We would like to determine possible signatures of simplices reconstructed from the Gram matrix. Let us denote reconstructed spacetime by .
For that let us choose an edge of the reconstructed -simplex. As all faces are spacelike, the edge needs also to be spacelike. Let us denote its vector by . The space perpendicular to can be identified with the subspace of bivectors of the form
[TABLE]
This space is spanned by geometric bivectors of the faces , sharing the edge
[TABLE]
As every two such faces share a tetrahedron we can compute the scalar product between their bivectors without actual knowledge about the reconstruction, for example (as all faces are spacelike)
[TABLE]
This can be also computed in the Lorentzian signature
[TABLE]
where .
Let us now notice that vectors can be expressed as a linear combinations of for and . Therefore the vectors
[TABLE]
span the whole space of the simplex as vectors do.
Let us now consider the matrix of scalar products of and vectors , :
[TABLE]
The submatrix has the same signature as .
Lemma 25**.**
If lengths matching condition is satisfied, the reconstructed simplex is non-degenerate and there exists a vector geometry then the signature of the reconstructed -simplex is either or .
Proof.
The matrix ( has rank thus is non-degenerate and has the same signature as a matrix of scalar products in . Let us consider two cases:
- •
. Since the signature of is plus
- •
. Since the signature of is plus .
∎
Let us introduce for any pairwise different a matrix
[TABLE]
Lemma 26**.**
If lengths matching condition is satisfied and there exists a vector geometry then the following are equivalent
- •
the reconstructed -simplex is degenerate
- •
for any pairwise different the matrix from (305) satisfies
[TABLE]
Proof.
The Matrix from (304) is degenerate exactly when the matrix of the scalar products , is degenerate. The latter is equal to . As choice of indices is arbitrary we obtain equivalence. ∎
8.2.2 Possible degenerate points
We will now prove a version of Plebański classification (see [76, 77, 78, 79, 67]).
Lemma 27**.**
Let us assume that we have non-degenerate geometric boundary data for . There exist at most two (up to an overall rotation by ) sets of vectors in satisfying
** 2. 2.
** 3. 3.
**
If for any pairwise different the matrix from (305) satisfies
[TABLE]
then there exists at most one solution.
Proof.
We will first prove that there are at most two matrices (indices are pairs and ) satisfying
[TABLE]
Matrix should be the matrix of scalar product . If there are at most two such matrices there will be at most two sets of vectors up to rotations from .
The only undetermined entries are where all indices are different. Let us assume that are different and is the lacking index. We know that
[TABLE]
So can be expressed by and . Similarly we can replace by any other index. As all permutations are generated by transpositions , , , , we see that we can express any with different indices as a linear combination of and . Let us denote .
As are vectors in , every determinant of a by minor of need to vanish. Let us take the determinant of
[TABLE]
The only unknown entry is and it appears twice in the matrix. The coefficients in the contribution of to the determinant is as and are not parallel. The determinant is thus quadratic polynomial and there are at most two solutions in to the equation
[TABLE]
If is a matrix of scalar product then its range of is dimensional (non-degeneracy of boundary data) and the signature is the same as signature of . There exist vectors such that
[TABLE]
If there exists another set of vectors then there exists such that
[TABLE]
This proves that there are at most two solutions up to rotations.
If then , , are not independent (if they were the signature of would be the same as ). Thus
[TABLE]
As and are independent (boundary non-degeneracy condition) this gives linear equation for as . So there exists at most one matrix of scalar products. ∎
Lemma 28**.**
There are at most two vector geometries up to gauge transformations. If for any pairwise different the matrix from (305) satisfies
[TABLE]
then there exists at most one.
Proof.
For the sets of vectors satisfying assumptions of lemma 27 we can introduce defined by (for non-degenerate boundary data)
[TABLE]
We have . Vectors are defined by vector geometry if and only if for all . There exist at most two up to an overall transformation sets of vectors from lemma 27. From two sets differing by rotations not from at most one has , so there are at most two vector geometries up to gauge transformations.
If then there exists at most one set of possible vectors up to rotations from . As before only one can have . ∎
8.3 Degenerate geometric solutions
Lemma 29**.**
Let us assume that the lengths matching condition is satisfied, the geometric boundary data is non-degenerate and there exists a vector geometry and if in addition
- •
the reconstructed -simplex is non-degenerate in (flipped with respect to ) then orientations matching condition is satisfied and there exist exactly two gauge inequivalent classes of vector geometries,
- •
the reconstructed -simplex is degenerate then orientations matching condition is satisfied and there exists exactly one gauge equivalent class of vector geometries
Proof.
If lengths matching condition is satisfied, the reconstructed simplex is non-degenerate and there is one vector geometry then we can consider sets of vectors satisfying assumptions of lemma 27
[TABLE]
and and from equation (288) are not related by a rotation191919If then () for non-degenerate boundary data. In such case all bivectors of the reconstructed -simplex are annihilated by , which contradicts its non-degeneracy..
From lemma 27 we know that there exists and such that
[TABLE]
thus by lemma 24
[TABLE]
where we introduced . As a result, the orientations matching condition is satisfied and by theorem 8 there exist two gauge inequivalent vector geometries. By lemma 28 there exists no other gauge class of vector geometry.
If the reconstructed simplex is degenerate then by lemma 26 and by lemma 27 there exists at most one solution (up to rotation from ). We know one solution and the second follows from the geometric construction of from (288) ( it follows that they differ by )
[TABLE]
Thus orientations matching condition is satisfied. By lemma 28 there exists no other vector geometry. ∎
8.4 Classification of solutions
Degenerate and non-degenerate solutions cannot occur at the same time. If lengths matching condition is satisfied, but orientations matching condition is not satisfied then we cannot have any solution.
When lengths matching condition is not satisfied we can have neither non-degenerate geometric solution (reconstructed simplex satisfies lengths matching condition) nor two degenerate solutions (reconstructed or simplex need to satisfy lengths matching condition). There still might exist a single vector geometry in this case.
By lemma 10 this classification applies to real critical points of the action.
9 Phase difference
In this section we will give an interpretation in terms of Regge geometries of the difference of the phases between two critical points. The overall phase can be changed by adjusting the phases of the coherent states. Therefore, in the study of the asymptotic behaviour of the vertex amplitude the phase difference is of main interest. It is defined up to because it appears in the exponent. In Section 9.4 we will show that it agrees with the expected Regge term up to . We will improve this result in Section 9.5 by using certain deformation argument and we will show that this agreement holds exactly, i.e. up to :
[TABLE]
9.1 The Regge term
Regge calculus [44] was devised as an extension of gravitational action to certain distributional metrics that are flat everywhere except on the faces of the simplicial decomposition. On these faces, the geometry is not smooth anymore, and deficit angles appear. Faces are assumed to have flat inner simplicial geometry. The action is a sum of contributions from single simplices given by
[TABLE]
where is the area of the triangle and is the dihedral angle between the tetrahedra and at the triangle . However, apart from the Euclidean case, the definition of the dihedral angle is nontrivial. For example, in the Lorentzian theory one need to consider separately the cases when the tetrahedra form a thin or thick wedge at the triangle, respectively, [80, 35] (see figure 4).
In this paper we limit ourselves to the case where the faces are spacelike, but the normals to tetrahedra can be timelike or spacelike. We basically follow the definition of the dihedral angles in the relevant cases from [46]202020Our sign is opposite to [46] and we subtract in the case of Euclidean and split signatures. It also differs from [81]. Our dihedral angles are always real opposed to [82]. . We argue that this is the right definition because the Schläfli identity holds [46, 83]
[TABLE]
where are variations of dihedral angles under changes of the shape of the -simplex. This identity is crucial for Regge calculus [44].
The dihedral angles are defined as follows:
- •
Euclidean or split signature and . The dihedral angle is a unique angle such that
[TABLE]
- •
Lorentzian signature and and . The dihedral angle is the unique angle such that
[TABLE]
This case contains thick wedge for both normals timelike and thin wedge for both normals spacelike.
- •
Lorentzian signature and and . The dihedral angle is the unique angle such that
[TABLE]
This case contains thick wedge for both normals spacelike and thin wedge for both normals timelike.
- •
Lorentzian signature and . The dihedral angle is the unique angle such that
[TABLE]
The area of the triangle is equal to
[TABLE]
By the reconstruction theorem (Theorem 3) we know that
[TABLE]
Since , it immediately follows that the Regge action for the geometries reconstructed from the geometric solution becomes
[TABLE]
We define the geometric difference of the phase to be equal to
[TABLE]
where is the Plebański orientation (definition 8).
9.2 Revisiting the phase difference
Let us recall that the difference of the phases between two critical points is given in terms of its solutions and by lemma 8 as
[TABLE]
where
[TABLE]
where . Taking the image in (see lemma 10) we obtain
[TABLE]
as .
Let us notice that , and that generates rotation with period . The difference of the contribution to the phase from the link action is
[TABLE]
9.3 Determination of and
In this section we will determine and in a geometric way. The price we pay is an ambiguity of in the phase that will be fixed by a deformation argument in section 9.5.
Lemma 30**.**
The contributions and to the difference in phase for two critical points corresponding to two non-degenerate solutions and satisfy
[TABLE]
where if both canonical normals are of the same type, and if they are of different types.
Proof.
We can compute
[TABLE]
where are such that
[TABLE]
We see that modulo if and only if both canonical normals are the same. ∎
We will now obtain a similar result for two degenerate geometric solutions (vector geometries).
Lemma 31**.**
Let be such that
[TABLE]
Let and . Then
[TABLE]
Proof.
From the equality (286) we have
[TABLE]
That prove the equality. ∎
Lemma 32**.**
Suppose that we have a bivector in then
[TABLE]
where are determined by the equality
[TABLE]
and we embed bivectors from into .
Proof.
We can decompose into its self-dual/anti-self-dual part, . Group elements generated by them commute, thus
[TABLE]
As are independent and is determined by ( is determined by ), it is enough to check what the image of is in terms of . Let us assume that preserves , then by lemma 22
[TABLE]
where we identify subgroups from Minkowski and from . In this special case
[TABLE]
as preserves . Let us notice that as is arbitrary in this case so we have
[TABLE]
for arbitrary . ∎
We have
Lemma 33**.**
The contributions and for the difference in phase between two critical points corresponding to two vector geometries and satisfies an identity written in terms of geometric solutions and for flipped geometric boundary data, where
[TABLE]
Namely
[TABLE]
where is the bivector from the geometric solution.
Proof.
From lemma 31 and 8 we know that (regarding as subgroup of )
[TABLE]
as counts difference from to and in opposite direction.
If then right hand side would not be in . However every element belongs to this subgroup. Thus .
Regarding as bivectors in , we have with use of theorem 6
[TABLE]
Thus by lemma 32 we have
[TABLE]
Comparing the images of two group elements under we obtain their equality up to
[TABLE]
As is simple, we see that . ∎
9.4 Geometric difference of the phase modulo
We know that
[TABLE]
This is a group element that appears in lemmas 30 and 33.
Let us recall that is spacelike. We have (see appendix H):
- •
For
[TABLE]
- •
For , (in Lorentzian signature)
[TABLE]
Moreover
[TABLE]
so the rotation generated by either
[TABLE]
has period .
From the geometric reconstruction theorem we know that
[TABLE]
and the sine law shows that . So
[TABLE]
where
[TABLE]
Let us notice (see (522)) that
[TABLE]
By comparing (352), (353) with (333) and (346) we get the following
- •
For Lorentzian signature (non-degenerate solutions) and normals of the same type
[TABLE]
- •
For Lorentzian signature (non-degenerate solutions) and normals of different types
[TABLE]
- •
For other signature solutions (degenerate solutions)
[TABLE]
We will now consider contributions of appearing in the action from (361).
Lemma 34**.**
The following holds for given boundary data:
[TABLE]
where are arbitrary.
Proof.
Let us consider the sub-graph of the spin network consisting of those links that have half-integer spins. As this is a graph with all the vertices of even valence, there exists Euler cycles, i.e., cycles such that every link of half-integer spin belongs to the cycle exactly once.
Let us count number of changes of the type of normals from consecutive vertices on one of those cycles. As it is a cycle, the number is even. However as we go through all links exactly once this is the number of links with . Hence
[TABLE]
as the sum is over even number of . Let us denote by the largest integer smaller than . Definitely
[TABLE]
Summing the two equalities, we obtain the desired result. ∎
As we determined modulo we can skip the terms coming from (361) by lemma 34 and write
[TABLE]
where
[TABLE]
9.5 Deformation argument to fix the remaining ambiguity
We only need to determine the remaining ambiguity of in the action. This however depends on the choice of lifts, and it needs to be done consistently for the whole -simplex. Taking into account that the only source of ambiguity are the contributions for half-integer spins, we have
[TABLE]
9.5.1 Lorentzian signature case
Lemma 35**.**
Suppose that we have non-degenerate geometric boundary data and with spins with non-degenerate geometric solutions . Let us assume that there exists a continuous path
[TABLE]
such that:
- •
For all
[TABLE]
- •
for all , is a geometric solution for boundary data,
- •
for all the boundary data is non-degenerate,
- •
for all ,
- •
for all solution is non-degenerate, and
- •
for solution and are gauge equivalent.
Then
[TABLE]
Proof.
The function
[TABLE]
takes values in by lemma 34 and is changing continuously if we compute differences between two solutions and . Its value needs to be constant. We need to show . As in the limit and are gauge equivalent thus there exists such that for all .
Let us introduce lifts and and of these elements. There exists such that
[TABLE]
and then
[TABLE]
Thus from it follows that mod . We have
[TABLE]
We can consider an Euler cycle in the subgraph consisting of edges with odd spin. For such a cycle
[TABLE]
As the subgraph of half-integer spins has even-valent nodes, we can decompose it into Euler cycles thus mod . ∎
Let us deform our boundary data by deforming solution as follows: We choose a spacelike plane described by a simple, normalized bivector in generic position i.e.
[TABLE]
We now contract directions in (perpendicular to directions in ). All the time and the solution obtained by reconstruction from the bivectors is non-degenerate. Let us now consider the limit where we shrink to zero. We will denote this time as . Due to (377), the limits exist and are nonzero. The shrinking has a dual action on the geometric normals (their directions in expands but we need to apply normalization). As the geometric normal vectors do not lie in the plane (see (377)), they also have a limit and it is equal to their normalized components lying in the plane . By suitable definition of we can assume that the limits exist. The -simplex is now highly degenerate, contained in a plane. All bivectors are proportional to .
So we have for any non-degenerate boundary data by lemma 35
[TABLE]
9.5.2 The case of other signatures
The difference is well-defined if we fix between which two degenerate points we need to compute the difference of the phase.
Lemma 36**.**
Let us consider a set of non-degenerate geometric boundary data, with spins and all canonical normals . Let us suppose that there are two non-equivalent vector geometries for this boundary data. We associate with them a non-degenerate geometric solution with boundary data . Let us suppose that there exists a continuous path
[TABLE]
such that
- •
one has
[TABLE]
- •
for all , is a geometric solution for boundary data,
- •
for all the boundary data is non-degenerate,
- •
for the geometric solution is non-degenerate,
- •
* is a degenerate geometric solution.*
Then
[TABLE]
Proof.
The function
[TABLE]
takes values in and is changing continuously if we compute differences between two critical points determined by vector geometries obtained from a geometric solution . Thus it is constant. For simplicity let us work in a suitable gauge, such that
[TABLE]
We have for the lifts . Similar considerations using Euler cycles as for Lorentzian signature show that
[TABLE]
Also, as
[TABLE]
an argument with an Euler cycle shows that
[TABLE]
Thus and
[TABLE]
∎
Let us deform the boundary data as follows: We choose of the same type as , in generic position, i.e., such that
[TABLE]
We contract in the direction of in . During contraction we have a continuous path of non-degenerate geometric solutions (with non-degenerate boundary data). At the end we obtain a degenerate -simplex for non-degenerate boundary data. By lemma 36 we have
[TABLE]
9.6 Summary
Let us now choose all outer pointing normals . We obtained the following formula for the difference of the phase between two critical points
[TABLE]
where is the Plebanski orientation (definition 8), and are generalized dihedral angles (see 9.4) to be reconstruct as follows:
[TABLE]
where
[TABLE]
10 Computation of the Hessian
In this chapter we will finish our analysis by computing the scaling property of the measure factor in the formal application of stationary phase approximation. We assume that after taking into account gauge transformations the remaining Hessian is non-degenerate. The contribution to the stationary phase approximation of the amplitude from the Hessian is
[TABLE]
The integrand depends on the following variables
- •
for , giving real variables,
- •
, giving real variables.
But these variables are subject to gauge transformations, which reduces the effective number of nontrivial variables:
- •
, giving real gauge parameters,
- •
gauge gives real gauge parameters.
This gives nontrivial variables, and the scaling
[TABLE]
Together with the scaling (see (54)) of this gives the scaling of the measure factor,
[TABLE]
Let us notice that does not depend on the choice of the phase of the coherent states (phase of ). Its determinant can be expressed by geometric quantities like and , in a covariant way. It is thus a geometric quantity depending on lengths and orientations.
11 Outlook
In this paper we performed the complete analysis of the critical points in the extended EPRL setting. Besides the important open questions discussed in section 1.3, there are several points which merit further analysis:
- •
Extension of our results to the case of surfaces of mixed signature. A spin foam model for surfaces of this kind was introduced in [54] based on coherent state techniques. There is no known EPRL-like construction. We suspect that there might be some nongeometric contributions to the asymptotic formula in this case.
- •
The determinant of the Hessian is a complex number, thus it contributes to the phase. It is an important part of the asymptotics and can be described in geometric terms if the boundary state is geometric [2, 45, 63]. The spread of the coherent states has no obvious geometric meaning but it influences the measure factors. In the Euclidean EPRL model the values of the Hessian at two different critical points are equal thus, their phase can be cancelled by proper choice of the phase of coherent states. It is tempting to conjecture that similar statement is true for the Lorentzian models. However nothing of this kind was proven even in the standard EPRL setup.
- •
A determination of the absolute value of the determinant of the Hessian is interesting for the following reason. In order to evaluate the spin foam amplitudes of more complicated triangulations, one needs to take a product over many vertex amplitudes. In the semiclassical limit one can hope that one can replace the vertex amplitudes in the product by their asymptotic forms. In such a situation, the phase is exactly the Regge action [44] of discrete gravity (with some problems regarding orientations [84]) and the measure of the path integral is obtained from the absolute value of the determinant of the Hessian. However, it seems that in the case of current spin foam models the amplitude of the whole foam cannot be obtained by this approximation [41, 52] (but see also [42] for possible resolutions).
- •
Another open problem is the extension of our result to the case of non-vanishing cosmological constant. The asymptotic analysis of a corresponding version of the EPRL model was given in [85, 86]. However, moving away from Euclidean signature even the formulation of the model becomes very formal. There is no satisfactory proposal for the intertwiners representing timelike tetrahedra for the situation with cosmological constant (see however [87, 88] for possible, alternative rigorous deformations).
Acknowledgements
We would like to thank Bianca Dittrich, Sebastian Steinhaus and Hal Haggard for interactions at the early stage of this work. We would like to express our gratitude for Jeff Hnybida for fruitful discussions about the topic. We also thank the anonymous referees for their valuable comments on a previous version of this work. This article is partially based upon the work from COST Action MP1405 QSPACE, supported by COST (European Cooperation in Science and Technology). WK thanks the Institute for Quantum Gravity at the Friedrich-Alexander Universität Erlangen-Nürnberg (FAU) for hospitality. This work was also partially supported by the Polish National Science Centre grant No. 2011/02/A/ST2/00300.
Appendices
A Notation summary
Notation summary
- •
nodes (tetrahedra) numbers (indices),
- •
spacetime indices ,
- •
spinors, spinors labelled by pairs of indices (tetrahedra), boundary data spinors,
- •
traceless matrices , traceless matrices in labelled by two tetrahedra,
- •
, ,
- •
Hermitian scalar product defined by normal ,
- •
,
- •
symplectic form for spinors,
- •
normal vectors, outer pointing normal vector to -th tetrahedron, canonical normal vector either or , normal vector to -th tetrahedron obtained from geometric solution,
- •
vectors ( null vector), boundary data vectors,
- •
scalar product,
- •
reflection with respect to normal ,
- •
inversion,
- •
group elements,
- •
bivectors, bivectors from the geometric solution, geometric bivectors from the simplex,
- •
Minkowski spacetime,
- •
spacetime with flipped (split or euclidean signature),
- •
Plebanski orientation (relating orientation of or to the combinatoric orientation of the simplex),
- •
or (, ),
- •
we denote connected component of ,
- •
space perpendicular to in Minkowski (also embeddable in ),
- •
maps from bivectors in into (self-dual and anti-self-dual forms), corresponding maps from into ,
- •
Hodge star ,
- •
if we are working explicitly in the flipped spacetime then we use , and for contraction with use of the metric and ,
- •
if we are working in arbitrary signature spacetime then we use , , and ,
- •
representation labels (, ) for group, and representation labels for edge connecting tetrahedron with ,
- •
number,
- •
invertible complex numbers, invertible real numbers
- •
integer scaling of spins,
- •
dihedral angle between tetrahedron and ,
- •
area of the face between tetrahedron and ,
- •
action, , parts of the action.
B Conventions
We are using abstract definition of Grassmann algebra and by its universal properties. For we define left () and right () antiderivatives of order
[TABLE]
by its action on
[TABLE]
Suppose that we have a metric . The norm of vectors is given by
[TABLE]
The Hodge dual is defined by
[TABLE]
where is the normalized volume -vector (choice of the orientation) and is the contraction with dualized vector by the scalar product.
C Restriction of representations of
In this appendix we will collect results of [70] and [32] about restriction of the irreducible unitary representations of to the subgroup . We introduce spinors
[TABLE]
Let us consider generator of rotation around axis. We can introduce bases of eigenfunction in the representations of and . On the groups we consider right regular representations.
C.1 The embedding map in the case of
In this case following [16] we consider embedding of the spin representation. We can realize this representation as functions on given by matrix elements of the representation in eigenbasis. The embedding of the functions
[TABLE]
into the representation space of unitary irreducible representation is given by
[TABLE]
where and
[TABLE]
and
[TABLE]
Using the explicit expression for the representation matrices of the group we write explicitly:
[TABLE]
C.2 The embedding map in the case of
Following Hnybida and Conrady [32, 49] we consider embeddings of the basis functions of the discrete series unitary irreducible representations of spin of the group. Again we can realize them as a functions on the group
[TABLE]
Their image in the representation space of unitary irreducible representation is given by
[TABLE]
where , ,
[TABLE]
and
[TABLE]
is the -invariant scalar product. Using the explicit expression for the representation matrices of the group [70] we write the distributions explicitly:
[TABLE]
C.3 Coherent states
All three families of representations have certain common feature. In the eigenbasis
[TABLE]
we can consider extremal eigenfunctions. These are basic coherent states [71]. They usefulness for asymptotic analysis comes from their simple form (see [70, 49])
- •
For
[TABLE]
- •
For
[TABLE]
where \mathbf{n}_{0}=\left(\begin{array}[]{c}{1}\\ {0}\end{array}\right) and \mathbf{n}_{1}=\left(\begin{array}[]{c}{0}\\ {1}\end{array}\right).
All other coherent states are obtained through transformation of these basic coherent states by group action of . Let us notice that the group action preserves and we can move group elements from into obtaining
[TABLE]
We have the following classification:
- •
Every spinor such that with is obtained as for
- •
Every spinor such that with is obtained as for
- •
Every spinor such that with is obtained as for
This allow us to write coherent states as follows
[TABLE]
with and arbitrary
[TABLE]
and for embedding
[TABLE]
with and arbitrary .
D Traceless matrices
In this section we will describe relation between traceless matrices in two complex dimensions and spinors. Let us assume that is traceless then
[TABLE]
thus for spinors and
[TABLE]
where we transposed the whole formula in the middle equality.
Lemma 37**.**
Let us assume that then
[TABLE]
Proof.
We apply left hand side to and
[TABLE]
so as and are independent () and span the whole space of spinors we show that it is identity operator. ∎
We can write ( traceless )
[TABLE]
In the last expression is traceless.
Lemma 38**.**
Let us assume that then
[TABLE]
Furthermore the matrix
[TABLE]
is traceless and
[TABLE]
are two eigenvectors. Every traceless matrix with eigenvalues is of this form.
Proof.
We can compute
[TABLE]
and
[TABLE]
Matrix with eigenvectors and such that and is of this form. ∎
We can write (for traceless and )
[TABLE]
Lemma 39**.**
Suppose that spinors satisfy
[TABLE]
and
- •
for all traceless matrices
[TABLE]
then there exists such that
[TABLE]
- •
and for all traceless matrices
[TABLE]
then there exists such that
[TABLE]
Proof.
From lemma 38 matrices
[TABLE]
are traceless thus . The result now follows from uniqueness of eigenvectors up to scaling and lemma 38.
As for the second part we can write
[TABLE]
where and . Notice that and we can apply previous part. ∎
D.1 Spinors and
We introduce spinors
[TABLE]
that satisfies
[TABLE]
Lemma 40**.**
For any spinor holds
[TABLE]
Proof.
The first equality follows from
[TABLE]
The second by
[TABLE]
where we used and . ∎
Lemma 41**.**
We have equality
[TABLE]
Proof.
We will prove that
[TABLE]
It is enough to check that action of both sides coincides on spinors and . We have by lemma 40
[TABLE]
and similarly
[TABLE]
∎
Consider defined in section 4.2.
Lemma 42**.**
On real manifold
[TABLE]
and the equality holds if and only if
[TABLE]
Proof.
From construction . We will consider . The reality condition is equivalent to reality condition for .
We have equality by lemma 41
[TABLE]
This is equivalent to
[TABLE]
and because and we can write it as
[TABLE]
that is equivalent to .
The equality holds only if
[TABLE]
that is . ∎
Lemma 43**.**
On real manifold and under condition
[TABLE]
where
[TABLE]
and
Proof.
We have
[TABLE]
From lemma 2 when reality conditions are satisfied we have
[TABLE]
The latter can be computed
[TABLE]
thus the total variation
[TABLE]
By (433) it can be written in the given form. ∎
D.2 Subalgebra of the subgroup preserving the normal
We will use description of from 2.3. Differentiating (31) we obtain that the Lie subalgebra of consists of these traceless matrices that satisfies
[TABLE]
Lemma 44**.**
Suppose that is a traceless matrix such that belongs to the Lie algebra of the group preserving normal , then the eigenvalues of are either real or purely imaginary.
Proof.
We can always write
[TABLE]
with being and being eigenvectors with .
The condition for is
[TABLE]
means that has the same eigenvalues as () so either or . ∎
We will call spacelike if its eigenvalues are purely imaginary (see section 5.2).
Lemma 45**.**
Suppose that is a traceless matrix such that belongs to the Lie algebra of the group preserving normal and is spacelike then there exists
[TABLE]
such that
[TABLE]
where
[TABLE]
Proof.
We can always write
[TABLE]
with being and being eigenvectors with .
The condition for is
[TABLE]
where from the identity . It is equivalent to
[TABLE]
We can write it in the form
[TABLE]
where we introduced
[TABLE]
Let us notice that
[TABLE]
From lemma 39 there exists
[TABLE]
We have also the equality
[TABLE]
Normalizing we can introduce spinor such that
[TABLE]
Spinor is unique up to a phase. ∎
E Characterization of the bivectors
We will now characterize . Let us introduce a vector by an identity
[TABLE]
It is null because the matrix on the right-hand side has rank one. It is future directed if and past directed if .
Contracting with and taking the trace we obtain
[TABLE]
Let us consider decomposition (introducing vector )
[TABLE]
We have
[TABLE]
thus
[TABLE]
Lemma 46**.**
We have
[TABLE]
where .
Proof.
The traceless matrix satisfies
[TABLE]
For any traceless matrix
[TABLE]
but also
[TABLE]
This equality shows that the traceless matrices and are equal. ∎
F Geometric bivectors
We will perform the following construction of the form corresponding to the simplex spanned on the points in .
Let us introduce auxiliary space and in this space vectors
[TABLE]
and covector
[TABLE]
Let us introduce vectors
[TABLE]
-vectors in can be identified with -vectors in that satisfy
[TABLE]
From we can produce a -vector in
[TABLE]
as .
We can check that
[TABLE]
as the only nonzero last component is in . This gives (after restriction to )
[TABLE]
that is the volume -vector of the -simplex multiplied by .
Let us notice that this -vector depends on the order of . As change by under permutation of points (even permutations preserves it) the same is true for .
Suppose that we have a simplex determined by points with indices . We can define codimension and simplices by indicating which points we skip.
Let us introduce
[TABLE]
where means omission,
[TABLE]
and similarly and . With this definition .
Theorem 9**.**
The following holds
[TABLE]
Proof.
Let us consider
[TABLE]
It can be written as
[TABLE]
where is the number of site on which we contract.
[TABLE]
The sum can be written as
[TABLE]
However this vector contracted with is zero
[TABLE]
This finishes the proof of the second equality in (497). We prove the first equality in similar way:
[TABLE]
∎
Let us restrict to the case of ,
Definition 12**.**
The geometric bivectors of the simplex determined by vertices are
[TABLE]
Let us consider a scaling transformation
[TABLE]
Under this transformation bivectors changes
[TABLE]
Let us notice that in particular inversion transformation preserves .
F.1 Nondegenerate case
Let us now assume that do not lay in the hyperplane that is are linearly independent. We introduce a dual basis defined by
[TABLE]
Let us also introduce defined by
[TABLE]
These covectors can be regarded as belonging to . We have
[TABLE]
This can be written with the use of in terms of
[TABLE]
and similarly
[TABLE]
Lemma 47**.**
We have
[TABLE]
Proof.
It is enough to check that both sides of equality give the same value contracted with the elements of the basis
[TABLE]
∎
Thus we have
[TABLE]
Covectors are conormal to subsimplices .
Let us now add metric tensor on . It defines also a scalar product on -vectors by
[TABLE]
We can also introduce normalization of by
[TABLE]
By the definition of Hodge star (see Appendix B)
[TABLE]
If codimension subsimplices are not null we can introduce normal vectors and positive numbers and such that
[TABLE]
then we have
[TABLE]
Let us consider an altitude for our simplex from point . Its base we will denote by . Let us notice that as it lays inside the hyperplane of remaining points
[TABLE]
We have (identifying vectors and covectors using scalar product)
[TABLE]
Thus vectors
[TABLE]
are outer directed and introducing () we get
[TABLE]
Let us notice that
- •
- •
- •
.
Let us notice that for a spacelike face its area is equal to
[TABLE]
G Generalized sine law
Taking the scalar product of (519) with itself we obtain (for an extension see [89])
[TABLE]
where is a sign related to the signature of spacetime, defined by
[TABLE]
However
[TABLE]
Let us consider the following cases:
- •
If and are of the same type and signature in the plane is mixed then
[TABLE]
- •
If and are of different types and signature in the plane is mixed then
[TABLE]
- •
If signature in the plane is then
[TABLE]
- •
If signature in the plane is then
[TABLE]
H Dihedral angles
We will now describe in terms of dihedral angles. Let us notice that is spacelike. We have
[TABLE]
Let us introduce
[TABLE]
and also
[TABLE]
We will first prove
Lemma 48**.**
The following identities hold
[TABLE]
Proof.
Let us consider cases. Using results of appendix G
- •
and in Lorentzian signature
[TABLE]
because .
- •
and in Lorentzian signature
[TABLE]
because .
- •
in Lorentzian signature
[TABLE]
- •
in Euclidean or split signature
[TABLE]
because .
∎
Let us introduce the inversion in the plane spanned by :
[TABLE]
Lemma 49**.**
The following holds for geometric normals:
[TABLE]
where is dihedral angle.
Proof.
We can restrict ourselves to two dimensional plane spanned by and . The connected component of the group of Lorentz transformations is generated by . Moreover for two elements and from connected component
[TABLE]
Let us notice that
[TABLE]
is in connected component and for any vector in the plane is equal to
[TABLE]
thus
[TABLE]
Similarly expanding in the Taylor series
[TABLE]
and
[TABLE]
The equality now follows from lemma 48
[TABLE]
which holds for the dihedral angles. ∎
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