Submitted:
29 October 2024
Posted:
30 October 2024
Read the latest preprint version here
Abstract
Keywords:
1. Introduction
- State Space: Every physical system is associated with a complex Hilbert space, and its state is represented by a ray (an equivalence class of vectors differing by a non-zero scalar multiple) in this space.
- Observables: Physical observables correspond to Hermitian (self-adjoint) operators acting on the Hilbert space.
- Dynamics: The time evolution of a quantum system is governed by the Schrödinger equation, where the Hamiltonian operator represents the system’s total energy.
- Measurement: Measuring an observable projects the system into an eigenstate of the corresponding operator, yielding one of its eigenvalues as the measurement result.
- Probability Interpretation: The probability of obtaining a specific measurement outcome is given by the squared magnitude of the projection of the state vector onto the relevant eigenstate (Born rule).
- The principle of relativity: The laws of physics are the same in all inertial reference frames.
- The constancy of the speed of light: The speed of light in a vacuum is constant and is independent of the motion of the light source or observer.
- Dimensionality of Spacetime: The universe exhibits three spatial dimensions and one temporal dimension, forming a 3+1-dimensional spacetime continuum. This spacetime exhibits the symmetries of the Poincaré group, which includes translations, rotations, and Lorentz boosts[5].
- Quantum Gravity: One approach to quantum gravity (amongst many) involves linearizing the Einstein Field Equations around flat Minkowski spacetime, expressing the metric as . The perturbation is promoted to a quantum operator , allowing quantum field theory techniques to be applied to gravity [10]. A recent development, the double copy mechanism, reveals a deep connection between gauge theories and gravity by suggesting that gravitational amplitudes can be obtained from gauge theory amplitudes, effectively relating gravity to the "square" of gauge theories [11].
2. Results
2.1. Quantum Mechanics
- The entropy maximization procedure inherently normalizes the vectors with . This normalization links to a unit vector in Hilbert space. Furthermore, as physical states associate to the probability measure, and the probability is defined up to a phase, we conclude that physical states map to Rays within Hilbert space. This demonstrates a.
-
In Z, an observable must satisfy:Since , then any self-adjoint operator satisfying the condition will equate the above equation, simply because . This demonstrates b.
-
Upon transforming Equation 48 out of its eigenbasis through unitary operations, we find that the energy, , typically transforms in the manner of a Hamiltonian operator:The system’s dynamics emerge from differentiating the solution with respect to the Lagrange multiplier. This is manifested as:which is the Schrödinger equation. This demonstrates c.
-
From Equation 48 it follows that the possible microstates of the system correspond to specific eigenvalues of . An observation can thus be conceptualized as sampling from , with the measured state being the occupied microstate i. Consequently, when a measurement occurs, the system invariably emerges in one of these microstates, which directly corresponds to an eigenstate of . Measured in the eigenbasis, the probability measure is:In scenarios where the probability measure is expressed in a basis other than its eigenbasis, the probability of obtaining the eigenvalue is given as a projection on a eigenstate:Here, signifies the squared magnitude of the amplitude of the state when projected onto the eigenstate . As this argument hold for any observables, this demonstrates d.
- Finally, since the probability measure (Equation 46) replicates the Born rule, e is also demonstrated.
2.2. RQM in 2D
2.2.1. 1+1D Obstruction
2.3. RQM in 3+1D
2.3.1. Preliminaries
- is a positive scalar factor ensuring non-negativity.
- is a rotor representing Lorentz transformations (rotations and boosts in spacetime).
- is a complex phase factor, as and .
- The exponential map maps elements of the algebra to the connected component of the identity in the spin group , except at the zero vector, where the map is not injective.
- The wavefunction captures both the amplitude (through ) and the phase (through and ) of the quantum state.
- The double-copy product yields zero if and only if is the zero vector in the quotient space.
- All non-zero vectors in the quotient space have a strictly positive norm.
- The identification of null vectors with the zero vector removes the degeneracy caused by the indefinite metric signature.
2.3.2. RQM
2.3.3. Standard Model Gauge Symmetries
2.3.4. A Starting Point for a Theory of Quantum Gravity

which realizes an transformation of the metric tensor via action of the exponential of a bivector, and a double-copy unitary invariant transformation via action of the exponential of a pseudo-scalar:
2.3.5. The Einstein Field Equation
2.4. Dimensional Obstructions
- :
- Let , then:which is valued in .
- :
- Let , then:which is valued in .
- :
-
Let , where , then:We note that , therefore:which is valued in .
3. Conclusion
Statements and Declarations
- Competing Interests: The author declares that he has no competing financial or non-financial interests that are directly or indirectly related to the work submitted for publication.
- Data Availability Statement: No datasets were generated or analyzed during the current study.
- During the preparation of this manuscript, we utilized a Large Language Model (LLM), for assistance with spelling and grammar corrections, as well as for minor improvements to the text to enhance clarity and readability. This AI tool did not contribute to the conceptual development of the work, data analysis, interpretation of results, or the decision-making process in the research. Its use was limited to language editing and minor textual enhancements to ensure the manuscript met the required linguistic standards.
Appendix A SM
Appendix B RQM in 3+1D

Appendix C SageMath program showing ⌊u ‡ u⌋ 3,4 u ‡ u=detM u
- from sage.algebras.clifford_algebra import CliffordAlgebra
- from sage.quadratic_forms.quadratic_form import QuadraticForm
- from sage.symbolic.ring import SR
- from sage.matrix.constructor import Matrix
- # Define the quadratic form for GA(3,1) over the Symbolic Ring
- Q = QuadraticForm(SR, 4, [-1, 0, 0, 0, 1, 0, 0, 1, 0, 1])
- # Initialize the GA(3,1) algebra over the Symbolic Ring
- algebra = CliffordAlgebra(Q)
- # Define the basis vectors
- e0, e1, e2, e3 = algebra.gens()
- # Define the scalar variables for each basis element
- a = var(’a’)
- t, x, y, z = var(’t x y z’)
- f01, f02, f03, f12, f23, f13 = var(’f01 f02 f03 f12 f23 f13’)
- v, w, q, p = var(’v w q p’)
- b = var(’b’)
- # Create a general multivector
- udegree0=a
- udegree1=t*e0+x*e1+y*e2+z*e3
- udegree2=f01*e0*e1+f02*e0*e2+f03*e0*e3+f12*e1*e2+f13*e1*e3+f23*e2*e3
- udegree3=v*e0*e1*e2+w*e0*e1*e3+q*e0*e2*e3+p*e1*e2*e3
- udegree4=b*e0*e1*e2*e3
- u=udegree0+udegree1+udegree2+udegree3+udegree4
- u2 = u.clifford_conjugate()*u
- u2degree0 = sum(x for x in u2.terms() if x.degree() == 0)
- u2degree1 = sum(x for x in u2.terms() if x.degree() == 1)
- u2degree2 = sum(x for x in u2.terms() if x.degree() == 2)
- u2degree3 = sum(x for x in u2.terms() if x.degree() == 3)
- u2degree4 = sum(x for x in u2.terms() if x.degree() == 4)
- u2conj34 = u2degree0+u2degree1+u2degree2-u2degree3-u2degree4
- I = Matrix(SR, [[1, 0, 0, 0],
- [0, 1, 0, 0],
- [0, 0, 1, 0],
- [0, 0, 0, 1]])
- #MAJORANA MATRICES
- y0 = Matrix(SR, [[0, 0, 0, 1],
- [0, 0, -1, 0],
- [0, 1, 0, 0],
- [-1, 0, 0, 0]])
- y1 = Matrix(SR, [[0, -1, 0, 0],
- [-1, 0, 0, 0],
- [0, 0, 0, -1],
- [0, 0, -1, 0]])
- y2 = Matrix(SR, [[0, 0, 0, 1],
- [0, 0, -1, 0],
- [0, -1, 0, 0],
- [1, 0, 0, 0]])
- y3 = Matrix(SR, [[-1, 0, 0, 0],
- [0, 1, 0, 0],
- [0, 0, -1, 0],
- [0, 0, 0, 1]])
- mdegree0 = a
- mdegree1 = t*y0+x*y1+y*y2+z*y3
- mdegree2 = f01*y0*y1+f02*y0*y2+f03*y0*y3+f12*y1*y2+f13*y1*y3+f23*y2*y3
- mdegree3 = v*y0*y1*y2+w*y0*y1*y3+q*y0*y2*y3+p*y1*y2*y3
- mdegree4 = b*y0*y1*y2*y3
- m=mdegree0+mdegree1+mdegree2+mdegree3+mdegree4
- print(u2conj34*u2 == m.det())
- True
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