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An Extended Dirac Equation in Curved Spacetime and Applications to Quantum Electromagnetic Processes: A Metric-Internalization Approach Using a 256 × 256 Matrix Representation

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31 December 2025

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02 January 2026

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Abstract
This work proposes a method to construct the Dirac operator in curved spacetime without introducing a vierbein (tetrad) or an independent spin connection, using only a matrix representation rooted in the basis structure of the four-dimensional gamma-matrix algebra. We introduce sixteen two-index gamma matrices realized as 256 × 256 matrices and embed the spacetime metric directly into matrix elements. In this framework, geometric operations such as covariantization, connection-like manipulations, and basis transformations are reduced to matrix products and trace operations, enabling a unified and transparent computational scheme. The spacetime dimension remains four; the number ``16'' labels the basis elements of the four-dimensional gamma-matrix algebra ((24 = 16). Based on an extended QED Lagrangian, the vertex rule, propagators, spin sums, and traces can be treated in a unified way, which facilitates automation. As validation, we consider Compton scattering, muon-pair production, Møller scattering, and Bhabha scattering. We show that off-diagonal components of the metric can induce characteristic angular dependences in differential cross sections, while the flat-spacetime limit reproduces standard QED results exactly. In a trial calculation with a toy metric containing off-diagonal components, a systematic deviation from the flat result appears near a scattering angle θ ≈ 90 when the coordinate angle is plotted directly, suggesting that metric-induced angular dependence could, in principle, serve as an observational indicator. These results indicate that the proposed matrix representation provides a practical algebraic tool to integrate the Dirac operator in a curved background and quantum electromagnetic processes into a single computational pipeline.
Keywords: 
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1. Introduction

1.1. Background and Motivation

In relativistic quantum mechanics, the Dirac equation describes the motion of spin- 1 / 2 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) e a μ ( x ) and a spin connection ω μ a b ( x ) [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 g μ ν ( x ) 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 4 × 4 gamma matrices γ μ (four matrices) and introduce sixteen 256 × 256 matrices Γ μ ν . 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 ( 2 4 = 16 ).
  • 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 Γ μ ν ( μ , ν = 0 , 1 , 2 , 3 ) as 256 × 256 matrices.

1.3.0.2. Step 2: Metric internalization

Using the spacetime metric g μ ν ( x ) , we define the position-dependent gamma matrices by
Γ μ ν ( x ) : = Γ μ ρ g ρ ν ( x ) .
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
Γ ^ ν ( x ) : = μ = 0 3 Γ μ ν ( x ) .
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
p ( x ) : = Γ ^ ν ( x ) p ν ,
and define the Dirac operator as
D ( x ) : = Γ ^ ν ( x ) ν .
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, g μ ν ( x ) η μ ν ,
Γ μ ν ( x ) Γ μ η ρ ν ρ , Γ ^ ν ( x ) μ Γ μ η ρ ν ρ ,
and the results obtained with the 256 × 256 representation coincide with the standard 4 × 4 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 Γ ^ μ ( x ) (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 4 × 4 gamma matrices γ μ :
i γ μ μ m ψ ( x ) = 0 .
The gamma matrices satisfy
{ γ μ , γ ν } = 2 η μ ν I 4 , η μ ν = diag ( + 1 , 1 , 1 , 1 ) .
In matrix form,
( Conventional ) 4 × 4 matrices ; four gammas i γ 0 0 0 0 0 0 γ 1 1 0 0 0 0 γ 2 2 0 0 0 0 γ 3 3 diagonal only + 1 0 0 0 0 1 0 0 0 0 1 0 0 0 0 1 η μ ν ( Minkowski metric ) 0 1 2 3 m I 4
Because η μ ν 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 g μ ν ( x ) generally has off-diagonal components. To accommodate this, we employ sixteen 256 × 256 matrices Γ μ ν and multiply them directly by the metric:
( Extended ) 256 × 256 matrices ; sixteen gammas i Γ 0 0 Γ 0 1 Γ 0 2 Γ 0 3 Γ 1 0 Γ 1 1 Γ 1 2 Γ 1 3 Γ 2 0 Γ 2 1 Γ 2 2 Γ 2 3 Γ 3 0 Γ 3 1 Γ 3 2 Γ 3 3 16 basis matrices ( 256 × 256 ) g 00 g 01 g 02 g 03 g 10 g 11 g 12 g 13 g 20 g 21 g 22 g 23 g 30 g 31 g 32 g 33 general metric tensor ( with off - diagonal components ) 0 1 2 3 m I 256 = i Γ μ g ρ ν ρ ( x ) ν m I 256 = i Γ μ ν ( x ) ν m I 256
where Γ μ ν ( x ) : = Γ μ g ρ ν ρ ( x ) .
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 256 × 256 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 256 × 256 Matrix Representation

2.1. Why a 256 × 256 Representation with 16 Basis Matrices?

This section explains the construction of the 256 × 256 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:
{ I , γ μ , γ μ γ ν ( μ < ν ) , γ μ γ ν γ ρ ( μ < ν < ρ ) , γ 5 } .
This is 2 4 = 16 basis elements. In the conventional 4 × 4 representation, these basis elements are represented by products of the four γ μ .

Motivation for a two-index representation

In the present approach, we multiply the metric g μ ν ( x ) directly into gamma matrices. For this purpose, we label the gamma matrices by two indices ( μ , ν ) . Since μ , ν = 0 , 1 , 2 , 3 , there are 4 × 4 = 16 combinations, corresponding to the “sixteen basis matrices” used here.

Why 256 × 256 ?

To realize each basis matrix Γ μ ν explicitly, we use Kronecker (tensor) products of Pauli matrices. Taking an 8-fold tensor product of 2 × 2 matrices yields
2 8 = 256 ,
hence a 256 × 256 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 2 × 2 identity matrix e and the Pauli matrices
σ x = 0 1 1 0 , σ y = 0 i i 0 , σ z = 1 0 0 1
as building blocks, and construct the basis matrices by an eight-fold Kronecker product (⊗).
Γ 0 0 = σ x σ x σ x σ x σ x σ x σ x σ x Γ 0 1 = i σ x σ x σ x σ x σ x σ x σ x σ y Γ 0 2 = i σ x σ x σ x σ x σ x σ x σ x σ z Γ 0 3 = i σ y σ z σ z σ z σ z σ z σ z σ z Γ 1 0 = i σ x σ x σ y σ z σ z σ z σ z σ z Γ 1 1 = i σ x σ x σ x σ x σ z σ z σ z σ z Γ 1 2 = i σ x σ x σ x σ x σ x σ z σ z σ z Γ 1 3 = i σ x σ x σ x σ x σ x σ x σ y σ z Γ 2 0 = i σ z σ z σ z σ z σ z σ z σ z σ z Γ 2 1 = i σ x σ x σ x σ x σ y σ z σ z σ z Γ 2 2 = i σ x σ x σ x σ y σ z σ z σ z σ z Γ 2 3 = i σ x σ x σ x σ x σ x σ y σ z σ z Γ 3 0 = i σ x σ y σ z σ z σ z σ z σ z σ z Γ 3 1 = i σ x σ z σ z σ z σ z σ z σ z σ z Γ 3 2 = i σ x σ x σ x σ z σ z σ z σ z σ z Γ 3 3 = i σ x σ x σ z σ z σ z σ z σ z σ z
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
{ Γ μ , ν Γ ρ } σ = 2 δ ν σ η μ ρ I 256
which can be interpreted as follows:
  • If the right indices match ( ν = σ ): for each fixed column index, { Γ μ , ν Γ ρ } ν = 2 η μ ρ I 256 holds. Thus for μ = ρ = 0 one obtains + 2 I 256 , for μ = ρ = i ( i = 1 , 2 , 3 ) one obtains 2 I 256 , and for μ ρ one obtains 0.
  • If the right indices differ ( ν σ ): { Γ μ , ν Γ ρ } σ = 0 .
Lowering indices by Γ μ ν : = Γ μ α η α ν , Equation (8) is equivalently written as
{ Γ μ ν , Γ ρ σ } = 2 η μ ρ η ν σ I 256
This covariant form (Equation (9)) is useful for verifying index consistency.

2.4. Metric Internalization and Effective Gamma Matrices

The spacetime metric g μ ν ( x ) is internalized on the matrix side through the mixed-index basis Γ μ ν :
Γ μ ν ( x ) Γ μ ρ g ρ ν ( x ) .
We also define the raised-index forms:
Γ μ ( x ) ν g μ ρ ( x ) Γ ρ ν ( x ) , Γ μ ν ( x ) g μ ρ ( x ) g ν σ ( x ) Γ ρ σ ( x ) .
By Equation (2), we define the effective gamma matrices
Γ ^ ν ( x ) μ = 0 3 Γ μ ν ( x ) .
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.
The slash notation is
p ( x ) Γ ^ ν ( x ) p ν .
Accordingly, the matrix-valued Dirac operator
D ( x ) Γ ^ ν ( x ) ν
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 Γ μ ν ( x ) = Γ μ ρ g ρ ν ( x ) and Γ ^ ν ( x ) = μ Γ μ ν ( x ) , the effective gammas satisfy
{ Γ ^ μ ( x ) , Γ ^ ν ( x ) } = 2 g μ ν ( x ) I 256 .
A crucial point is that the metric weighting is applied only once (at the stage Γ μ ν ( x ) = Γ μ g ρ ν ρ ( x ) ). No additional metric weighting is applied in the column sum defining Γ ^ ν ( x ) . This makes the right-hand side linear in g μ ν ( x ) and avoids double counting that would generate g 2 .
In the flat limit g μ ν η μ ν , one recovers { Γ ^ μ , Γ ^ ν } 2 η μ ν I 256 , 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 2 256 ) and trace checks (including the signs of η μ ρ ). With a suitable phase normalization, the relation { Γ μ , ν Γ ρ } σ = 2 δ ν σ η μ ρ I 256 is confirmed numerically.

2.7. Slash Identity and Propagator Kernel

Let p ( x ) = Γ ^ ν ( x ) p ν . Then the slash identity (Equation (11)) holds:
p ( x ) p ( x ) = 1 2 { Γ ^ μ ( x ) , Γ ^ ν ( x ) } p μ p ν = g μ ν ( x ) p μ p ν I 256 p 2 ( x ) I 256 ,
so that ( p m ) ( p + m ) = p 2 m 2 . Accordingly, the fermion propagator can be written as
S F ( p ; x ) = i ( p ( x ) m + i ϵ ) 1 , p 2 ( x ) = g μ ν ( x ) p μ p ν .

2.8. Remark on Normalization

When comparing with the standard 4 × 4 formalism, one must keep track of normalization factors arising from tr 256 ( I 256 ) = 256 versus tr 4 ( I 4 ) = 4 . In the flat limit, fixing the trace normalization yields a unique agreement between the 256 × 256 results and the standard 4 × 4 formulas.

3. Consistency Under General Coordinate Transformations

The metric tensor appearing in Equation (6),
g μ ν ( x ) = g 00 ( x ) g 01 ( x ) g 02 ( x ) g 03 ( x ) g 10 ( x ) g 11 ( x ) g 12 ( x ) g 13 ( x ) g 20 ( x ) g 21 ( x ) g 22 ( x ) g 23 ( x ) g 30 ( x ) g 31 ( x ) g 32 ( x ) g 33 ( x ) ,
transforms as a covariant rank-2 tensor under a general coordinate transformation
x μ x μ = x μ ( x ) ,
namely
g α β ( x ) = x μ x α x ν x β g μ ν ( x ) .
The inverse metric transforms as
g α β ( x ) = x α x μ x β x ν g μ ν ( x ) , g μ ν g ν ρ = δ μ ρ .
Under these transformation laws, physical scalars (inner products, the action, and d s 2 = g μ ν d x μ d x ν ) are invariant, and the 4 × 4 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)):
Γ ^ α ( x ) = x ν x α Γ ^ ν ( x ) ,
where the basis matrices Γ μ ν themselves are fixed while their coefficients change. Equation (10) is preserved in form under this transformation, and p = Γ ^ ν p ν remains a scalar.

4. Extended QED Lagrangian and Feynman Rules

In this section we use the matrix-valued Dirac operator defined above,
D ( x ) = Γ ^ ν ( x ) ν , Γ ^ ν ( x ) = μ = 0 3 Γ μ ν ( x ) , Γ μ ν ( x ) = Γ μ ρ g ρ ν ( x ) ,
and adopt a QED-like minimal coupling to the electromagnetic field. The gravitational (metric) contribution is internalized on the matrix side through Γ μ ν ( x ) and Γ ^ ν ( x ) .

4.1. Extended QED Lagrangian

We take the Lagrangian density to be
L = Ψ ¯ i Γ ^ ν ( x ) ν + i e A ν ( x ) m Ψ 1 4 F μ ν F μ ν ,
where F μ ν = μ A ν ν A μ and index raising/lowering is performed with g μ ν ( x ) and its inverse g μ ν ( x ) . In the flat limit g μ ν ( x ) η μ ν , Γ ^ ν ( x ) reduces to the flat reference γ ^ ν 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: i e Γ ^ ν ( x ) , where ν is the Lorentz index of the external photon. We use the effective gamma Γ ^ ν ( x ) directly as the vertex operator.
  • Fermion propagator: S F ( p ) = i ( p m + i ϵ ) 1 with p ( x ) Γ ^ ν ( x ) p ν . Kinematic invariants are evaluated using g μ ν ( x ) (e.g., p · q = g μ ν ( x ) p μ q ν ).
  • Photon propagator (Feynman gauge):
    D μ ν ( k ) = i g μ ν ( x ) k 2 + i ϵ , k 2 : = g α β ( x ) k α k β .

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 g μ ν ( x ) .
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 4 × 4 γ matrices.
  • Extended-matrix method (B): Scattering calculations in Minkowski spacetime using sixteen 256 × 256 Γ matrices.
  • Present method (C): Scattering calculations in a curved background using sixteen 256 × 256 effective matrices Γ ^ .
All calculations follow the corresponding Feynman rules and were carried out using Mathematica.

5.2. Compton Scattering ( γ + e γ + e )

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)):
d σ = d t π e 4 ( s m 2 ) 2 [ f ( s , u ) + g ( s , u ) + f ( u , s ) + g ( u , s ) ] .
The terms are defined by the trace expressions (Equations (15a) and ()):
f ( s , u ) = 1 4 ( s m 2 ) 2 · Tr ( ¬ p + m ) γ μ ( ¬ p + ¬ k + m ) γ ν ( ¬ p + m ) γ ν ( ¬ p + ¬ k + m ) γ μ ,
g ( s , u ) = 1 4 ( s m 2 ) ( u m 2 ) · Tr ( ¬ p + m ) γ μ ( ¬ p + ¬ k + m ) γ ν ( ¬ p + m ) γ μ ( ¬ p ¬ k + m ) γ ν .
Evaluating these traces yields (Equations (16a)–()):
f ( s , u ) = 8 ( m 4 + m 2 ( 3 s + u ) s u ) ,
g ( s , u ) = 8 ( m 4 + m 2 ( s + 3 u ) s u ) ,
f ( u , s ) = 8 m 2 ( 2 m 2 + s + u ) ,
g ( u , s ) = 8 m 2 ( 2 m 2 + s + u ) .
From these one obtains the Klein–Nishina formula [2,7]:
d σ = r e 2 2 ω ω 2 ω ω + ω ω sin 2 θ d θ .
The Klein–Nishina formula (Equation (17)) serves as the benchmark for validating our extended formalism.

5.2.2. Extended-Matrix Method (B)

Using the 256 × 256 Γ matrices, we obtain the trace results (Equations (18a)–()):
f ( s , u ) = 512 ( m 4 + m 2 ( 3 s + u ) s u )
g ( s , u ) = 512 ( m 4 + m 2 ( s + 3 u ) s u )
f ( u , s ) = 512 m 2 ( 2 m 2 + s + u )
g ( u , s ) = 512 m 2 ( 2 m 2 + s + u ) .
These expressions are larger by a factor of 64 ( 256 / 4 = 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:
g μ ν = 1 1 20 1 10 0 1 20 10 9 0 0 1 10 0 10 9 0 0 0 0 10 9 .
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 γ c = 0.173 we performed a concrete numerical evaluation and derived the laboratory-frame differential cross section.

5.2.4. Comparison of Results

For γ c = 0.173 , methods A ( 4 × 4 ) and B ( 256 × 256 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 256 × 256 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 θ is visualized directly, a small deviation appears near θ 90 . 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)):
d σ d Ω = 0.125 1.45043 cos θ 2.40586 3 + cos 2 θ + 0.173 cos 3 θ 1.173 + 0.173 cos θ 3 .
In contrast, method C yields
d σ d Ω = 5.73001 × 10 20 1.51376 × 10 20 3.44859 × 10 20 1.173 0.173 cos θ + 2.06309 × 10 20 ( 1.173 0.173 cos θ ) 2 + 4.62567 × 10 18 ( 1.173 0.173 cos θ ) 3 .
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 g μ ν ( x ) into matrices and to present an extended Dirac operator
D ( x ) = i Γ ^ ν ( x ) ν m ,
together with matrix- and trace-based calculation rules. Here
Γ ^ ν ( x ) : = μ = 0 3 Γ μ ν ( x ) , Γ μ ν ( x ) : = Γ μ ρ g ρ ν ( x ) ,
and the basis matrices Γ μ ν are constant 256 × 256 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 μ , ν on Γ μ ν are not tensor indices but rather basis labels; Γ μ ν itself is a fixed matrix independent of position (Equation (7)).

6.2. Scope of Applicability

(1)
Consistency in the flat limit: For g μ ν η μ ν , D ( x ) matches the standard 4 × 4 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 g μ ν ( x ) varies slowly, one may treat g μ ν as approximately constant in a small patch. Under this approximation, D ( x ) 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 { ν } ρ σ ( x ) 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
D ( x ) = i Γ ^ ν ( x ) ν m
using a 256 × 256 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 { ν } ρ σ ( x ) ,
D cov ( x ) = i Γ ^ ν ( x ) ν + { ν } ρ σ ( x ) m ,
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 g , refinement of the anticommutation properties of Γ ^ ν ( x ) , 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 Γ ^ operates in concrete scattering processes, in parallel with results obtained using the conventional 4 × 4 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 4 × 4 gamma matrices and (ii) in a curved background using sixteen 256 × 256 effective matrices Γ ^ . 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):
| M | 2 = 1 4 e 4 q 4 Tr ( p m ) γ μ ( p + m ) · Tr ( κ + M ) γ μ ( * * κ * * M ) γ ν ,
which can be written in terms of Mandelstam variables as (Equation (A2)):
| M | 2 = 1 8 m 2 M 2 e 2 s 2 t 2 + u 2 + 4 ( m 2 + M 2 ) s 2 ( m 2 + M 2 ) 2 ,
where m and M are the electron and muon masses. In the center-of-mass frame at high energy ( s m 2 , M 2 ), the masses can be neglected and the unpolarized amplitude becomes (Equation (A3)):
| M | 2 = 1 2 e 2 s 2 ( t 2 + u 2 ) .
With the kinematic relations (Equation (A4)):
t = 1 2 s ( 1 cos θ ) , u = 1 2 s ( 1 + cos θ ) ,
and the differential cross section formula (Equation (A5)):
d σ ¯ d Ω = 1 64 π s | M | 2 ,
we obtain the final result (Equation (A6)):
d σ ¯ d Ω = 1 4 α 2 s ( 1 + cos 2 θ ) ,
where α = e 2 / 4 π .
Integrating over the scattering angle yields the total cross section (Equation (A7)) [1]:
σ ¯ ( e + e + μ + μ + ) = 4 π α 2 3 s = 1.33333 π α 2 s .

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:
g μ ν = 1 1 20 1 10 0 1 20 10 9 0 0 1 10 0 10 9 0 0 0 0 10 9 .
We replace all sixteen Γ μ used in the computation by g ρ ν μ Γ ν , i.e., we use the effective matrices Γ ^ consistent with Equation (A8). A representative result obtained with this choice is given by Equation (A9):
d σ ¯ d Ω = 8103617490588876123937 α 2 30083573867060726457376 s 371011893098098217579 α 2 cos θ 15041786933530363228688 s + 6196145656745290669593 α 2 cos 2 θ 30083573867060726457376 s .
Integrating over θ , the total cross section becomes (Equation (A10)):
σ ¯ ( e + e + μ + μ + ) = 22403380637923042917467 π α 2 16922010300221658632274 s 1.32400 π α 2 s .
To visualize the comparison, we plot the results in Figure A1.
Figure A1. Trial example for muon-pair production in e + e collisions.
Figure A1. Trial example for muon-pair production in e + e collisions.
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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 e + e 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 4 × 4 gamma matrices in Minkowski spacetime and (ii) sixteen 256 × 256 effective matrices Γ ^ 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
d σ = d t 4 π e 4 ( s 4 m 2 ) 2 [ f ( t , u ) + g ( t , u ) + f ( u , t ) + g ( u , t ) ] ,
with [2] the trace expressions (Equation (A12)):
f ( t , u ) = 1 16 t 2 · Tr ( * * κ * * + m ) γ μ ( κ + m ) γ ν · Tr ( * * p * * + m ) γ μ ( p + m ) γ ν , g ( t , u ) = 1 16 t u · Tr ( * * κ * * + m ) γ μ ( κ + m ) γ ν ( * * p * * + m ) γ μ ( p + m ) γ ν ,
Substituting into Equation (A11) yields
f ( t , u ) = 1 t 2 s 2 + u 2 2 + 4 m 2 ( t m 2 ) , g ( t , u ) = g ( u , t ) = 2 t u s 2 m 2 s 2 3 m 2 ,
and the cross section becomes (Equation (A14)):
d σ = r e 2 4 π m 2 d t s ( s 4 m 2 ) 1 t 2 s 2 + u 2 2 + 4 m 2 ( t m 2 ) + 1 u 2 s 2 + t 2 2 + 4 m 2 ( u m 2 ) + 4 t u s 2 m 2 s 2 3 m 2 ,
where in natural units r e = α / m so that r e 2 = α 2 / m 2 .
In the center-of-mass frame, the kinematic relations are (Equation (A15)):
s = 4 ϵ 2 , t = 4 p 2 sin 2 θ 2 , u = 4 p 2 cos 2 θ 2 , d t = 2 p 2 sin θ d θ = p 2 π d Ω ,
where | p | and ϵ are the electron momentum and energy magnitudes, unchanged by scattering. Substituting and simplifying yields the Møller formula (Equation (A16)):
d σ = r e 2 m 2 ( ϵ 2 + p 2 ) 2 4 p 4 ϵ 2 4 sin 4 θ 3 sin 2 θ + p 2 ϵ 2 + p 2 2 1 + 4 sin 2 θ d Ω ,
which is the Møller-scattering formula.
In the ultrarelativistic limit ( p 2 ϵ 2 ), the differential cross section becomes [2]
d σ = r e 2 m 2 ϵ 2 1 4 ( 3 + cos 2 θ ) 2 sin 4 θ d Ω = r e 2 m 2 ϵ 2 1 16 ( 7 + cos 2 θ ) 2 csc 4 θ d Ω ,

Appendix C.2. Trial Computation in a Curved Background Using Sixteen 256×256 Effective Matrices Γ ^

We present only the ultrarelativistic result ( p 2 ϵ 2 ); derivation details are provided in Appendix E:
d σ = α 2 71 233 134 002 380 800 000 000 × ( 76 886 835 850 472 311 816 421 + 21 309 289 762 800 530 919 472 cos 2 θ + 942 204 894 651 807 977 595 cos 4 θ ) × csc 4 θ d Ω .
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.
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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 ( cos θ 1 ). 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 4 × 4 gamma matrices in Minkowski spacetime and (ii) sixteen 256 × 256 effective matrices Γ ^ 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 s u in the denominators of the Møller-scattering expressions (Equation (A13)). This yields the Bhabha cross section (Equation (A19)):
d σ = r e 2 4 π m 2 d t u ( u 4 m 2 ) 1 t 2 s 2 + u 2 2 + 4 m 2 ( t m 2 ) + 1 u 2 s 2 + t 2 2 + 4 m 2 ( u m 2 ) + 4 t u s 2 m 2 s 2 3 m 2 ,
and in the center-of-mass frame the invariants satisfy (Equation (A20)):
s = 4 p 2 cos 2 θ 2 , t = 4 p 2 sin 2 θ 2 , u = 4 ϵ 2 ,
where | p | and ϵ are the electron momentum and energy magnitudes, unchanged by scattering. Substituting and simplifying yields
d σ = d o r e 2 16 m 2 ϵ 2 ( ϵ 2 + p 2 ) 2 p 4 1 sin 4 θ 2 ϵ 4 m 4 p 2 ϵ 2 1 sin 2 θ 2 + 12 ϵ 4 + m 4 ϵ 4 4 p 2 ( ϵ 2 + p 2 ) ϵ 4 sin 2 θ 2 + 4 p 4 ϵ 4 sin 4 θ 2 ,
In the ultrarelativistic limit ( p 2 ϵ 2 ), the differential cross section simplifies to (Equation (A22)):
d σ = r e 2 m 2 ϵ 2 1 4 ( 3 + cos 2 θ ) 2 sin 4 θ cos 4 θ 2 d Ω = α 2 256 ϵ 2 ( 7 + cos 2 θ ) 2 csc 4 θ 2 d Ω E cm 2 d σ d Ω = 1 64 α 2 ( 7 + cos 2 θ ) 2 csc 4 θ 2 .

Appendix D.2. Trial Computation in a Curved Background Using Sixteen 256×256 Effective Matrices Γ ^

We show only the ultrarelativistic result ( p 2 ϵ 2 ); details are provided in Appendix E:
d σ = α 2 569 865 072 019 046 400 000 000 × ( 678 984 214 898 010 488 151 643 85 268 530 601 173 881 371 728 cos θ + 193 781 867 538 668 508 561 356 cos 2 θ 587 053 428 853 200 302 960 cos 3 θ + 6 196 145 656 745 290 669 593 cos 4 θ ) × csc 4 θ 2 d Ω .
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.
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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 ( cos θ 1 ). 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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Figure 1. Comparison of computational methods for Compton scattering ( γ c = 0.173 ). Methods A and B (flat spacetime; 4 × 4 and 256 × 256 ) coincide exactly and serve as a validation benchmark. Method C shows a toy-model result using constant-coefficient oblique coordinates (including off-diagonal components) within the local-constant-metric (LCM) approximation. This figure is intended as a demonstration of (i) correct operation of the proposed matrix-based computation rules and (ii) sensitivity to coordinate choice; it does not claim a direct physical curvature-induced effect.
Figure 1. Comparison of computational methods for Compton scattering ( γ c = 0.173 ). Methods A and B (flat spacetime; 4 × 4 and 256 × 256 ) coincide exactly and serve as a validation benchmark. Method C shows a toy-model result using constant-coefficient oblique coordinates (including off-diagonal components) within the local-constant-metric (LCM) approximation. This figure is intended as a demonstration of (i) correct operation of the proposed matrix-based computation rules and (ii) sensitivity to coordinate choice; it does not claim a direct physical curvature-induced effect.
Preprints 192329 g001
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Copyright: This open access article is published under a Creative Commons CC BY 4.0 license, which permit the free download, distribution, and reuse, provided that the author and preprint are cited in any reuse.
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