1. Introduction
1.1. Background and Motivation
In relativistic quantum mechanics, the Dirac equation describes the motion of spin-
particles such as electrons. In flat spacetime (special-relativistic Minkowski spacetime) it is a well-established theory [
1,
2]. However, how to extend the Dirac equation to curved spacetime in the presence of a gravitational field remains an important research topic [
3,
4].
The standard approach to spinor fields in curved spacetime introduces a
vierbein (tetrad)
and a
spin connection [
5,
6]. While theoretically complete, practical scattering calculations often face the following difficulties:
The choice of vierbein is not unique, and calculations can become cumbersome.
Introducing the spin connection can obscure the correspondence with flat-spacetime calculation rules.
Automation of numerical calculations becomes difficult.
1.2. Our Approach: Internalizing the Metric into Matrices
To avoid these difficulties, we propose a new approach. The basic idea is to embed the spacetime metric directly into gamma matrices. This makes it possible to construct a Dirac equation in curved spacetime without explicitly introducing a vierbein.
Specifically, we extend the conventional gamma matrices (four matrices) and introduce sixteen matrices . Key points are:
The spacetime dimension remains four (no extra dimensions are introduced).
The number “16” corresponds to the number of basis elements of the four-dimensional Dirac algebra ().
The metric tensor is incorporated as a coefficient of the matrices.
1.3. Outline of the Formulation
The formulation proceeds in the following steps.
1.3.0.1. Step 1: Introduction of two-index gamma matrices
We construct constant (position-independent) basis matrices () as matrices.
1.3.0.2. Step 2: Metric internalization
Using the spacetime metric
, we define the position-dependent gamma matrices by
In this way the metric information is internalized into the gamma matrices (Equation (
1)).
1.3.0.3. Step 3: Construction of effective gamma matrices
By summing the above sixteen matrices along the column direction, we define the
effective gamma matrices
These four effective gamma matrices are the basic building blocks for the Dirac equation in curved spacetime.
1.3.0.4. Step 4: Dirac operator
With the effective gamma matrices, we extend the slash notation as
and define the
Dirac operator as
The slash notation (Equation (
3)) and Dirac operator (Equation (
4)) form the basis of our extended formalism.
1.4. Consistency with Flat Spacetime
A key property of this approach is that it
reproduces standard results exactly in the flat-spacetime limit. When the metric approaches the Minkowski metric,
,
and the results obtained with the
representation coincide with the standard
representation under an appropriate normalization.
We verified this consistency numerically for all scattering processes treated in this paper:
In each case, we confirm agreement with classical results, including the Klein–Nishina formula [
7] and related standard QED results [
1,
2,
8].
1.5. Main Contributions
The main contributions of this paper are as follows:
- (i)
New formulation: Construction of two-index gamma matrices that embed the metric directly, and introduction of a matrix-valued Dirac operator based on effective gammas
(Equation (
2)).
- (ii)
Computational organization: Presentation of Feynman rules derived from the extended QED Lagrangian (Equation (
6)) and a procedure suitable for automation.
- (iii)
Numerical validation: Trial calculations using metrics with off-diagonal components (toy models) show characteristic corrections in the angular dependence of differential cross sections, while confirming exact agreement in the flat limit [
9,
10,
11].
1.6. Comparison Between Conventional and Extended Dirac Equations
To visualize the structure of the proposed approach, we compare the conventional and extended Dirac equations in matrix form.
Conventional Dirac equation (flat spacetime)
In flat spacetime, the Dirac equation uses four
gamma matrices
:
The gamma matrices satisfy
Because
is diagonal in flat spacetime, a diagonal placement of gamma matrices is sufficient (Equation (
5)).
Extended Dirac equation (curved spacetime)
In curved spacetime, the metric
generally has off-diagonal components. To accommodate this, we employ sixteen
matrices
and multiply them directly by the metric:
where
.
Advantages of this construction are:
Off-diagonal metric components are incorporated naturally.
No explicit vierbein is required.
Calculation rules are unified in terms of matrix products and traces.
The flat limit reduces automatically to standard results.
1.7. Organization of the Paper
The remainder of this paper is organized as follows. Section 2 presents the explicit construction of the matrix representation. Section 3 discusses consistency under general coordinate transformations. Section 4 introduces the extended QED Lagrangian and the associated Feynman rules. Section 5 presents representative scattering calculations (Compton scattering) and compares with the flat-spacetime results. Section 6 discusses the focus, scope, advantages, and limitations of the method, and Section 7 concludes. Additional processes (muon-pair production, Møller scattering, and Bhabha scattering) and the Mathematica code repository are provided in the appendices.
2. Construction of the Matrix Representation
2.1. Why a Representation with 16 Basis Matrices?
This section explains the construction of the matrix representation and clarifies why it is needed and what mathematical background motivates it.
Number of basis elements of the Dirac algebra
In four-dimensional spacacetime, the Dirac (gamma-matrix) algebra has the following 16 independent basis elements:
This is basis elements. In the conventional representation, these basis elements are represented by products of the four .
Motivation for a two-index representation
In the present approach, we multiply the metric directly into gamma matrices. For this purpose, we label the gamma matrices by two indices. Since , there are combinations, corresponding to the “sixteen basis matrices” used here.
Why ?
To realize each basis matrix
explicitly, we use Kronecker (tensor) products of Pauli matrices. Taking an 8-fold tensor product of
matrices yields
hence a
matrix representation. This construction provides 16 mutually independent basis matrices and ensures that the required anticommutation relations hold.
2.2. Kronecker-Product Construction Using Pauli Matrices
We use the
identity matrix
e and the Pauli matrices
as building blocks, and construct the basis matrices by an eight-fold Kronecker product (⊗).
This construction follows standard references on Clifford algebras and spinors [
12,
13,
14,
15].
2.3. Anticommutation Relations
The sixteen basis matrices satisfy the anticommutation relation
which can be interpreted as follows:
If the right indices match (): for each fixed column index, holds. Thus for one obtains , for () one obtains , and for one obtains 0.
If the right indices differ (): .
Lowering indices by
, Equation (
8) is equivalently written as
This covariant form (Equation (
9)) is useful for verifying index consistency.
2.4. Metric Internalization and Effective Gamma Matrices
The spacetime metric
is internalized on the matrix side through the mixed-index basis
:
We also define the raised-index forms:
By Equation (
2), we define the
effective gamma matrices
This operation collects the sixteen basis matrices column-wise into four matrices, which serve as the basic objects for the Dirac equation in curved spacetime.
Accordingly, the
matrix-valued Dirac operator
is obtained naturally, and calculations can be carried out using matrix products and traces (see, e.g., [
16,
17] for related motivations in geometric algebra).
2.5. Anticommutation Relation for the Effective Gammas
With
and
, the effective gammas satisfy
A crucial point is that the metric weighting is applied only once (at the stage ). No additional metric weighting is applied in the column sum defining . This makes the right-hand side linear in and avoids double counting that would generate .
In the flat limit , one recovers , corresponding to the standard set of four gamma matrices.
2.6. Numerical Verification
In the Mathematica programs provided in
Appendix E, we verified Equations (
8) and (
10) numerically by determinant checks (orthogonality and scale
) and trace checks (including the signs of
). With a suitable phase normalization, the relation
is confirmed numerically.
2.7. Slash Identity and Propagator Kernel
Let
. Then the slash identity (Equation (
11)) holds:
so that
. Accordingly, the fermion propagator can be written as
2.8. Remark on Normalization
When comparing with the standard formalism, one must keep track of normalization factors arising from versus . In the flat limit, fixing the trace normalization yields a unique agreement between the results and the standard formulas.
3. Consistency Under General Coordinate Transformations
The metric tensor appearing in Equation (
6),
transforms as a covariant rank-2 tensor under a general coordinate transformation
namely
The inverse metric transforms as
Under these transformation laws, physical scalars (inner products, the action, and ) are invariant, and the matrix representation built from the metric components behaves covariantly according to the tensor transformation law.
The effective gamma matrices transform as covariant vectors (Equation (
12)):
where the basis matrices
themselves are fixed while their coefficients change. Equation (
10) is preserved in form under this transformation, and
remains a scalar.
4. Extended QED Lagrangian and Feynman Rules
In this section we use the matrix-valued Dirac operator defined above,
and adopt a QED-like minimal coupling to the electromagnetic field. The gravitational (metric) contribution is internalized on the matrix side through
and
.
4.1. Extended QED Lagrangian
We take the Lagrangian density to be
where
and index raising/lowering is performed with
and its inverse
. In the flat limit
,
reduces to the flat reference
and standard QED is recovered.
4.2. Feynman Rules
The Feynman rules are derived from the extended QED Lagrangian (Equation (
13)). The rules used in our calculations (with external spin sums treated via traces) are:
Vertex: , where is the Lorentz index of the external photon. We use the effective gamma directly as the vertex operator.
Fermion propagator: with . Kinematic invariants are evaluated using (e.g., ).
Photon propagator (Feynman gauge):
4.3. Computation Procedure
In practice, scattering calculations are implemented in three steps:
Convert spinor sums into traces.
Reduce the amplitude to matrix products and trace evaluations.
Construct kinematic invariants using .
In the flat limit, the standard formulas are reproduced exactly. For metrics with off-diagonal components, the calculation can be treated as a parameter substitution, enabling efficient scans of angular dependences.
For the numerical examples in this paper, we assign numerical values to the metric components (toy models) and evaluate the scattering expressions using Mathematica (see
Appendix E for code and details).
5. Comparison of Scattering Methods and Results
5.1. Overview of Computational Methods
To compute quantum-electrodynamic processes for Compton scattering, we compare the following three methods:
Conventional method (A): Scattering calculations in Minkowski spacetime using matrices.
Extended-matrix method (B): Scattering calculations in Minkowski spacetime using sixteen matrices.
Present method (C): Scattering calculations in a curved background using sixteen effective matrices .
All calculations follow the corresponding Feynman rules and were carried out using Mathematica.
5.2. Compton Scattering ()
5.2.1. Conventional Method (A)
In the conventional approach, the Compton-scattering cross section can be expressed in terms of Mandelstam variables as [
2] (Equation (
14)):
The terms are defined by the trace expressions (Equations (
15a) and ()):
Evaluating these traces yields (Equations (
16a)–()):
From these one obtains the Klein–Nishina formula [
2,
7]:
The Klein–Nishina formula (Equation (
17)) serves as the benchmark for validating our extended formalism.
5.2.2. Extended-Matrix Method (B)
Using the
matrices, we obtain the trace results (Equations (
18a)–()):
These expressions are larger by a factor of 64 (), consistent with the trace normalization. After appropriate normalization, the result coincides with the conventional method.
5.2.3. Present Method (C)
For a trial computation in a curved background, we assume a toy metric with off-diagonal components:
This toy metric (Equation (
19)) includes off-diagonal components to demonstrate the sensitivity of scattering cross sections to coordinate geometry. The resulting expression is lengthy; for
we performed a concrete numerical evaluation and derived the laboratory-frame differential cross section.
5.2.4. Comparison of Results
For , methods A () and B ( in flat spacetime) agree exactly at the algebraic level, confirming that the proposed matrix representation is strictly consistent with the flat-spacetime reference.
Method C (the present
representation in a curved background) is shown as a toy-model result under the
local-constant-metric (LCM) approximation, using constant-coefficient oblique coordinates (including off-diagonal components). As shown in
Figure 1, when the coordinate angle
is visualized directly, a small deviation appears near
. This deviation arises because off-diagonal metric components alter the geometric meaning of the coordinate angle; therefore, geometric information associated with the chosen coordinate system is reflected in the plotted angular dependence.
For methods A and B (flat reference), the differential cross section is (Equation (
20)):
In contrast, method C yields
The difference between the flat-spacetime result and the curved-spacetime result (Equation (
21)) demonstrates the sensitivity of the framework to metric geometry.
6. Discussion and Limitations
6.1. Focus of the Present Work
The primary purpose of this paper is to internalize the metric
into matrices and to present an
extended Dirac operator
together with
matrix- and trace-based calculation rules. Here
and the basis matrices
are constant
matrices. In this paper we focus on the
definitions and operational rules of this construction, and leave a
fully curved treatment (including connection coefficients and full position dependence) as future work.
Note that the indices
on
are not tensor indices but rather
basis labels;
itself is a fixed matrix independent of position (Equation (
7)).
6.2. Scope of Applicability
- (1)
Consistency in the flat limit: For
,
matches the standard
formalism with a
unique correspondence via trace normalization. We confirmed
exact agreement numerically for tree-level processes (including Compton scattering) [
1,
7].
- (2)
Local-constant-metric (LCM) approximation: When varies slowly, one may treat as approximately constant in a small patch. Under this approximation, is operationally useful, and patchwise results can be combined with appropriate weighting to estimate position-dependent effects (the toy models in this paper take this stance).
6.3. Computational Advantages
- (1)
The rules are unified in terms of matrix multiplications and traces, which is well suited for automation. Implementations can be shared across processes (effective gammas and spin sums → traces).
- (2)
By keeping the trace normalization fixed, one can compare directly against flat reference formulas.
- (3)
Parameter scans over metric components are straightforward, enabling reproducible numerical validation.
6.4. Limitations and Future Work
- (1)
Loop calculations and renormalization: It remains to be assessed whether the present rules can provide visibility comparable to conventional methods while maintaining a consistent treatment of backgrounds [
3,
4].
- (2)
Position-dependent backgrounds: We plan to implement first-order corrections in perturbative settings (weak gravity, gravitational waves) beyond the LCM approximation and systematically identify processes and scales where deviations could appear.
- (3)
Fully covariant derivatives: An extension to a generally covariant form including connection coefficients is required.
Overall, the present approach is a practical option centered on providing the operator and computational rules. It preserves consistency with flat-spacetime reference formulas and offers rapid, reproducible calculations based on matrix algebra.
7. Conclusions
We defined an
extended Dirac operator
using a
two-index gamma-matrix representation in which metric components are internalized on the matrix side. The spacetime dimension remains four; geometric information is encoded as matrix coefficients. We also presented calculation rules that reduce scattering computations to matrix products and traces.
In the flat limit, the framework reproduces standard results with a unique correspondence fixed by trace normalization. We performed trial numerical validations for representative processes (Compton scattering in the main text; Møller scattering, Bhabha scattering, and muon-pair production in the appendices). Within toy models under the local-constant-metric approximation, we showed that off-diagonal metric components can induce characteristic corrections in the angular dependence of scattering cross sections.
A fully curved treatment—i.e., a generally covariant form including connection coefficients
,
is left as future work.
The advantages of this framework are (i) automation and reproducibility, (ii) direct comparability with flat reference formulas, and (iii) ease of parameter scans over metric components. Future directions include a systematic treatment under an action density including , refinement of the anticommutation properties of , incorporation of first-order corrections in position-dependent backgrounds (weak gravity and gravitational waves), and examination of loop calculations and renormalization.
Appendix A Appendix Overview
In these appendices, we compare how the framework based on sixteen effective gamma matrices
operates in concrete scattering processes, in parallel with results obtained using the conventional
gamma matrices. For the metric components we adopt a toy model with explicit numerical values; specifically, we use Equation (
A8).
Appendix B treats muon-pair production in electron–positron collisions and presents analytic expressions for differential and total cross sections. Appendices
Appendix C and
Appendix D provide similar comparisons for Møller and Bhabha scattering and visualize differences in angular dependence.
Notations and conventions (metric signature, normalization, momentum assignments, spinor phase conventions, etc.) follow the main text. Where the high-energy limit is indicated, that approximation is used; otherwise we provide general expressions in terms of invariants. For the trial results shown, dependence on the specific toy metric is small, suggesting that experimental tests would require high precision. Details of derivations and numerical implementations are provided via the Mathematica repository in
Appendix E.
Appendix B Muon-Pair Production in e + e - Collisions (e + +e - →μ + +μ - )
As in the Compton-scattering example, we compare lowest-order results for muon-pair production computed (i) in four-dimensional Minkowski spacetime using four gamma matrices and (ii) in a curved background using sixteen effective matrices . We then visualize any differences.
Appendix B.1. Minkowski Spacetime Calculation with 4×4 γ Matrices
The squared scattering amplitude is given by Equation (
A1):
which can be written in terms of Mandelstam variables as (Equation (
A2)):
where
m and
M are the electron and muon masses. In the center-of-mass frame at high energy (
), the masses can be neglected and the unpolarized amplitude becomes (Equation (
A3)):
With the kinematic relations (Equation (
A4)):
and the differential cross section formula (Equation (
A5)):
we obtain the final result (Equation (
A6)):
where
.
Integrating over the scattering angle yields the total cross section (Equation (
A7)) [
1]:
Appendix B.2. Trial Computation in a Curved Background Using Sixteen 256×256 Effective Matrices Γ ^
As in the Compton-scattering computation, we adopt the toy metric:
We replace all sixteen
used in the computation by
, i.e., we use the effective matrices
consistent with Equation (
A8). A representative result obtained with this choice is given by Equation (
A9):
Integrating over
, the total cross section becomes (Equation (
A10)):
To visualize the comparison, we plot the results in
Figure A1.
Figure A1.
Trial example for muon-pair production in collisions.
Figure A1.
Trial example for muon-pair production in collisions.
Figure A1 shows that the conventional expression and the present trial result almost overlap. This suggests that this process is relatively insensitive to the chosen toy metric. Therefore, even though
collision experiments are feasible at accelerators, testing the present framework with this process would be challenging unless experimental precision is significantly improved.
Appendix C Møller Scattering (e - +e - →e - +e - )
We present lowest-order results for Møller scattering computed with (i) the conventional four gamma matrices in Minkowski spacetime and (ii) sixteen effective matrices in a curved background, and then compare the two.
Appendix C.1. Minkowski-Spacetime Møller Scattering with 4×4 γ Matrices
At lowest order, the Møller-scattering cross section can be written in Mandelstam variables as
with [
2] the trace expressions (Equation (
A12)):
Substituting into Equation (
A11) yields
and the cross section becomes (Equation (
A14)):
where in natural units
so that
.
In the center-of-mass frame, the kinematic relations are (Equation (
A15)):
where
and
are the electron momentum and energy magnitudes, unchanged by scattering. Substituting and simplifying yields the Møller formula (Equation (
A16)):
which is the Møller-scattering formula.
In the ultrarelativistic limit (
), the differential cross section becomes [
2]
Appendix C.2. Trial Computation in a Curved Background Using Sixteen 256×256 Effective Matrices Γ ^
We present only the ultrarelativistic result (
); derivation details are provided in
Appendix E:
To facilitate comparison between Equations (
A17) and (
A18), we plot both in
Figure A2.
Figure A2.
Trial example for the Møller-scattering differential cross section.
Figure A2.
Trial example for the Møller-scattering differential cross section.
Figure A2 shows that the conventional result (solid blue) and the present trial example (dashed red) differ depending on scattering angle, with the difference becoming more pronounced in the backward region (
). This indicates that the metric can influence the angular dependence. Experimental verification would require high-precision measurements, but the difference is, in principle, testable.
Appendix D Bhabha Scattering (e + +e - →e + +e - )
We present lowest-order Bhabha-scattering results computed with (i) the conventional gamma matrices in Minkowski spacetime and (ii) sixteen effective matrices in a curved background, and compare them.
Appendix D.1. Minkowski-Spacetime Bhabha Scattering with 4×4 γ Matrices
For lowest-order Bhabha scattering, one can obtain the cross section by replacing
in the denominators of the Møller-scattering expressions (Equation (
A13)). This yields the Bhabha cross section (Equation (
A19)):
and in the center-of-mass frame the invariants satisfy (Equation (
A20)):
where
and
are the electron momentum and energy magnitudes, unchanged by scattering. Substituting and simplifying yields
In the ultrarelativistic limit (
), the differential cross section simplifies to (Equation (
A22)):
Appendix D.2. Trial Computation in a Curved Background Using Sixteen 256×256 Effective Matrices Γ ^
We show only the ultrarelativistic result (
); details are provided in
Appendix E:
To facilitate comparison between Equations (
A21) and (
A23), we plot both in
Figure A3.
Figure A3.
Trial example for the Bhabha-scattering differential cross section.
Figure A3.
Trial example for the Bhabha-scattering differential cross section.
Figure A3 shows angle-dependent differences between the conventional result (solid blue) and the present trial example (dashed red), with the discrepancy tending to be more pronounced in the backward region (
). This indicates that the metric can influence the angular dependence. Experimental confirmation would require high precision, but the deviation is, in principle, testable.
Appendix E Mathematica Programs
The Mathematica code and calculation outputs used in this study are available from the following repository:
These programs were created to support scattering calculations and theoretical checks based on the extended QED Lagrangian in Equation (
6). They help substantiate that the proposed framework can be applied to concrete physical processes and suggest possibilities for future numerical simulations.
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