3. A Conceptual 3+1 Dimensional Construction: Classical Fields and Emergent Quantum Structure
We begin by introducing a deliberately simplified and purely conceptual construction within a classical 3+1–dimensional framework. The purpose of this example is not to propose a new physical model, but to isolate, in a controlled setting, the minimal structural ingredients that give rise to quantum-mechanical features. At the end of this Section there will also be a conceptual example of the arguments presented here.
The motivation for including this Section is to build intuition about the way we model the time dimension, how this leads to quantum mechanical formulation when modeling a higher dimensional field in the reference frame of a lower dimensional field and to avoid misconceptions before moving to the main argument in the next Section. Even though we recognize that a lower dimensional field with one of our spatial dimensions as it’s evolution parameter is counter intuitive and purely a mathematical construct, we argue that examining such a case provides insight that outweighs its conceptual limitations.
We start by considering a classical 3+1-dimensional scalar field:
Φ(x,y,z,t) ∈ ℝ
satisfying the classical linear wave equation
At any point in space the value of Φ may be a superposition of waves originating from different spatial sources, different emission times, or both. In full generality, such a field may be written as a superposition of plane waves:
where:
- -
k is the physical spatial wavevector
- -
ω is the physical temporal frequency
- -
the spectral coefficients encode both source location and emission time.
This is nothing more than the Fourier decomposition of the field into plane waves, which is vital if we want to represent a real field where its value at a fixed point varies in time due to:
propagation delays from different sources,
different emission times,
constructive and destructive interference between modes with different (k, )
These phase differences are physically meaningful, as they determine interference patterns and interaction outcomes.
We now consider a lower dimensional field , a 2+1 dimensional field, which evolution depends on one of our spatial dimensions. Let this dimension be the z dimension, but we can take any other dimension or any 3D vector direction within our 3D space as the evolution parameter without any loss of generality. The values of this field in any (x,y) configuration are specified and propagated according to the z value of this field and the field configurations of higher z values are generated by the configurations of this field in lower z values.
To express this more formally, the values of this field are governed by equations which have the following form:
or
We now allow this field to interact with our classical 3+1-dimensional scalar field Φ and the strength of this interaction be proportional only to the scalar values of these fields.
Therefore, according to the interactions of these fields, if the values of the lower dimensional field are known then the values of our classical 3+1-dimensional scalar field Φ can also be found whenever such an interaction takes place.
Then the problem that arises is as follows:
Can we find a way to represent, with the minimum loss of information possible, the possible values and the evolution of the classical 3+1-dimensional scalar field Φ when we know only the values of the interactions of these fields at certain (x,y,z) configurations and the evolution law governing the lower dimensional field ?
The real reason we are considering such a problem will become clear in the next Section. However, some parallels can already be drawn with a realistic and very well known situation where the evolution of a physical object or field is known only by the values of its interactions and the modelling of the evolution of the value can not be done in a fully classical and deterministic way if we want to predict the value of the interaction at a different point.
In other words, we are interested in projecting the classical 3+1-dimensional scalar field Φ into an evolution equation such as (2).
In this setup the recorded field Ψ is defined by a linear, time-insensitive mapping:
where
is a real response kernel characterizing the interaction.
Substituting (1) into (3) yields:
where :
- -
χ = (x,y,z)
- -
=
Crucially, the explicit time dependence has disappeared. Information about:
- -
relative emission times
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accumulated temporal phase
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causal ordering
is now encoded only implicitly, through the complex phases of .
We must point out that the recorded field Ψ is not only t-insensitive but it also evolves in the z dimension, therefore it is not the same object as Φ, and its spectral variables need not be related to those of Φ by a simple invertible linear transformation. The crucial point is that this process is not just a change of coordinates in Fourier space. It is a projection-like observation map that removes explicit access to the hidden coordinate τ.
At this stage, it is important to emphasize that the explicit form of the mapping from the higher-dimensional field Φ to the recorded field Ψ is not assumed a priori. The recording process represents an effective projection from a higher-dimensional dynamical system to a lower-dimensional description, and is therefore not uniquely defined.
The objective of the present framework is precisely to determine the admissible structure of this mapping by imposing physically motivated constraints. In particular, we require that the recording preserves the maximum amount of information accessible to the lower-dimensional observer, including phase relations and interference structure, while remaining consistent with the reduced set of observable variables.
As will be shown, these requirements significantly restrict the form of the mapping and lead naturally to the emergence of complex amplitudes, linear superposition, and ultimately a Hilbert space structure for the recorded field.
Suppose now that the recorded field Ψ is required to be real-valued. Then its Fourier coefficients (lets call them
must satisfy a reality condition:
where
κ and Ω denote the spatial (in x,y space) and evolutionary frequencies (evolution in the z direction) associated with Ψ
As a consequence of Ψ being real-valued, Ψ can be written as:
where χ΄= (x,y)
In this representation:
- -
phase information is not an intrinsic variable
- -
it depends on the relative weighting of sine and cosine components
- -
it is sensitive to the arbitrary choice of origin in z
As a result, distinct external wave configurations, produced by different sources or emission times and leading to different interference patterns in Φ, may map to the same real-valued Ψ. This is because all temporal phase information
, is collapsed into the scalar factor
To demonstrate that more clearly consider two contributions of the field Φ in the same point in 3D space with identical
k but different temporal phases (e.g. emitted at different times or from different sources). Therefore :
Applying the linear, time-insensitive recording map (3)
and assuming a time-symmetric response kernel
=
, Ψ takes the form:
A cos(kχ) , A cosδ cos(kχ)
Where A =
The superposed field Ψ is therefore:
+ = A cos(kχ)
Then distinct physical situations (δ ≠ 0) may map to identical Ψ values. For example there is no distinction between π/2 and -π/2 phases
This is a serious problem because the mapping
δ cos δ
is many to one and there is no linear real functional that can extract sinδ independently without introducing a second channel or a complex structure.
The recorded field depends only on , rendering it insensitive to phase sign, temporal ordering, and entire equivalence classes of physically distinct wave configurations. In particular, phase shifts , , and yield identical recorded values. This many-to-one mapping implies a fundamental loss of information concerning relative emission times, interference structure, and interaction dynamics. The special cases correspond to maximal information loss, but the non-invertibility is generic and unavoidable for any real-valued, linear, time-insensitive recording.
Thus, a real valued Ψ cannot distinguish physically inequivalent wave configurations.
This loss is not optional. It follows directly from linearity, time-insensitivity, and reality of Ψ. Therefore, a real valued Ψ can not represent the values of a real scalar 3+1 dimensional field Φ, because the phase information is crucial in determining:
- -
whether interference is constructive or destructive
- -
how energy is redistributed
- -
how the field interacts with matter.
Two external wave configurations that differ only in relative temporal phase can exert different forces or deposit different energy, even if their real-valued time-averaged amplitudes coincide.
A real-valued does not constitute a physically faithful representation of an interacting wave field Φ.
Furthermore, a real valued Ψ fails to represent broadband (multi-frequency) wave signals of Φ.
Any localized or interacting wave field necessarily contains a superposition of frequencies:
Φ(x,y,z,t) =
Different frequency components accumulate phase at different rates:
Δφ(ω,t) = ωt
Relative spectral phase is therefore essential for:
- -
wave packet localization
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dispersion
- -
interaction dynamics
Under the mapping (3),(4), frequency-dependent phase information is collapsed into the coefficients .
However, when Ψ is constrained to be real-valued:
- -
relative phase between different frequencies cannot be encoded invariantly
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cross-frequency coherence is lost
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dispersion effects cannot be reconstructed
Consequently, two broadband wave packets with different internal spectral phase (hence different propagation and interaction behavior) may yield identical Ψ.
This is because if we let
Φ = +
A real valued Ψ would yield:
Ψ
which carries no information about relative phase evolution between and Δφ = ( - ) t
Since both and are time insensitive.
Considering the above, we conclude that what is missing from a real valued Ψ is phase information.
In contrast, complex amplitudes provide the minimal structure capable of encoding relative phase information while preserving superposition and translational symmetry.
A field Ψ in the form:
can faithfully encode the physically relevant phase and amplitude information necessary to distinguish interference structures of a real valued 3+1 dimensional field Φ, because the evolution of this field respects a dispersion relation that connects translations in space with translations in time.
Any real-valued solution of the classical wave equation in dimensions can be written as:
Φ(χ,t) = kχ – ω(k)t + δ(k))
with dispersion relation: ω(k) = u
Here:
- -
A(k) is a real amplitude distribution
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δ(k) is a physically meaningful phase encoding emission time, path length, or source geometry
Since we want to represent Φ with a field Ψ that has no time t information, therefore:
- -
Temporal oscillations cannot be tracked directly
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Only spatial structure and interference remain observable
We can make use of the dispersion relation in order to relate temporal phase differences to spatial phase shifts:
δ(k) k Δχ
This gives us a way to faithfully relate wave solutions coming from different emission times or from different sources with only the use of 3 dimensional spatial information.
Therefore, a solution in the form of (6) with
ℂ can encode the relative phase information of a real field Φ while preserving superposition and translational symmetry because
can be written as:
Where:
- -
represents the strength (amplitude) of the mode
- -
represents the relative phase
This way if we consider two contributions with identical κ but different phases:
, Then after superposition
Ψ (1 + )
The relative phase :
- -
is explicitly retained,
- -
is distinguishable from ,
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controls interference exactly.
Now what remains to examine is how this relative phase δ should be represented, what form should it have and how it is connected to measurable quantities.
To summarize what we have expressed above, because the recorded field Ψ has no information about the time dimension t, only spatial structure and interference are represented by this recorded field Ψ. This can be done faithfully with minimal loss of information by a complex field Ψ in the form of (6) with a complex
Because phase differences correspond to spatial displacements via the dispersion relation, θ(κ,Ω) must encode relative spatial localization information.
Here comes the key physical requirement:
If the underlying wave is translated in 3D space (which also corresponds to the passing of a fixed time interval due to the dispersion relation), the recorded field Ψ must also change accordingly, without altering physical content.
Consider a spatial translation:
(χ΄΄,z΄) (χ΄+ a, z + b)
The field transforms accordingly
Ψ(χ΄,z΄) Ψ(χ΄+ a, z + b)
Using (6)
Ψ(x,y,z) = =
=
With χ΄= (x,y)
After translation
Ψ(χ΄+ a, z + b) =
Thus, translation acts as:
θ(κ,Ω) θ(κ,Ω) + κa - Ωb
This tells us that θ(κ,Ω) shifts linearly with 3D spatial displacement, therefore, its gradient has physical meaning. Furthermore, θ(κ,Ω) has to be smooth if we want to represent 3D wave interactions because non-differentiable phases would produce delocalized, non-interacting fields, which is not what we want to represent.
Define:
X(κ) =
This object has dimensions of length, and transforms as a 2D position
Indeed, under translation:
X(κ) X(κ) + a
Thus, encodes 2D spatial localization of the wave packet
Following that, in spectral space (from Fourier analysis) we can also define:
If we apply it to
=
We get
+ i
And the expectation value becomes:
=
Now consider the action of multiplication by κ in Fourier space
In position space, this corresponds to:
κ
- i
Therefore, we define the operator:
Which is the generator of 2D spatial translations.
This is not assumed, it follows from Fourier duality.
From (7),(8) on spectral space:
= , =
If we let them act on an arbitrary ( = = i ()
( = =
Therefore:
= =
This is purely a property of Fourier duality
At this point, the canonical structure emerges because:
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Translation symmetry is represented by exponentials.
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Exponentials imply Fourier dual variables.
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Fourier dual variables satisfy multiplication vs differentiation duality.
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Differentiation and multiplication do not commute.
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Their non-commutation is exactly the delta structure.
It was not imposed, quantized or probabilistic. It is a structural property of wave representations.
It is important to note that commutation relations do not only apply for operators and . In fact, for any pair of variables related by continuous translation symmetry and represented through exponential phase factors, multiplication in spectral space and differentiation in conjugate space necessarily generate a canonical commutation relation. Thus, the canonical algebra emerges as a structural consequence of wave-based translation invariance rather than as an independent quantum assumption.
Considering the above, we now have a recorded field in the form:
Ψ(χ΄,z) = (6)
which is a faithful representation of the physical 3+1 dimensional filed Φ that obeys the classical linear wave equation.
We established that the spectral amplitude encodes:
- -
spatial localization (via phase gradients)
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interference
- -
translation behavior
But what quantity represents the “amount of field” recorded?
Since Ψ encodes interference structure only, the physically meaningful invariant quantity cannot be the field value itself (which oscillates), but something quadratic in the amplitude.
The only translation-invariant quadratic candidate is:
This is because under the translation (χ΄΄,z΄)
(χ΄+ a, z + b) :
Therefore:
is invariant under translations.
No other simple quadratic functional has this property.
Additionally, translating a 3+1 dimensional wave must not change its physical content if we want to have a physically meaningful representation.
This implies that the representation must preserve total intensity.
More generally, if we want to project the underlying system in an equation that evolves in the z dimension, then the mapping must preserve total recorded content.
Without this conservation:
- -
localization drifts artificially
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spectral weight appears/disappears
- -
interference structure is not stable
Conservation is not optional. It is required for faithful representation.
In addition to that, we must also define:
- -
interference between two different configurations
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expectation values of operators
- -
orthogonality of modes
to have a totally faithful representation.
All these require an inner product.
The natural candidate is:
=
This satisfies:
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conjugate symmetry
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linearity
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positive definiteness
Moreover:
=
Thus, the norm arises from an inner product.
Finally, suppose that the evolution in z is generated by an operator
which is defined by:
Then
=
Therefore, if (9) should hold then (11) vanishes only if:
=
This means that conservation of norm forces Hermitian generators.
And Hermitian generators imply Unitary evolution.
So:
- -
Conservation ⇒ Hermiticity
- -
Hermiticity ⇒ Unitary representation of translations.
This is exactly the mathematical structure of Hilbert space quantum mechanics.
Let us summarize the logical chain that led us here:
Complex amplitudes are required to encode phase.
Translation symmetry implies exponential representation.
Fourier duality gives canonical commutators.
Faithful representation requires conserved total intensity.
Conserved quadratic intensity requires an inner product.
Conservation under evolution requires Hermitian generators.
Hermitian generators imply unitary transformations.
This is very important because Hilbert Space structure is forced by symmetry and conservation in our framework and is postulated a priori. In other words, in our framework quantum mechanical formalism is derived and not assumed.
We will conclude this Section by giving a conceptual example of the arguments presented above.
In our framework:
- -
The 3+1 wave Φ exists physically
- -
The recorded Ψ is a reduced representation which has no information about our time dimension t and its evolution parameter is one of our spatial dimensions.
- -
The only reason this recorded Ψ can be a faithful representation of Φ is that Φ obeys a dispersion relation which enables us to relate temporal phase differences to spatial phase shifts
- -
To faithfully encode interference and localization, Ψ must preserve phase and amplitude
- -
To preserve physical content under translation, total spectral weight must be invariant.
- -
This invariance mathematically enforces Hilbert structure
Thus, Quantum structure emerges not from probability, but from representation stability under translation symmetry.
To visualize the argument one can draw some parallels with the classical double slit experiment.
In the case of the double slit experiment for light (Fig 1), we know that the Amplitude of the interference pattern for any point on the screen is analogous to
+
, where
,
the distances of the slits from the point measured on the screen and
[
10,
11].
Figure 1.
The double slit experiment and how it creates constructive and destructive interferences which have to do with the geometry of the experimental setup.
Figure 1.
The double slit experiment and how it creates constructive and destructive interferences which have to do with the geometry of the experimental setup.
If there was an observer oblivious to the concept of our time (4th dimension) in any point of the screen of the double slit experiment, it would seem to him that the Amplitude of the wave can take many possible values. The only way any conclusion or correlation about the wave and its behavior can arise is with the use of complex numbers. Still some information is lost to the observer (like the exact value of the Amplitude because it oscillates with time, which the observer can’t measure or understand) but at least a great portion of the total information of the system would be accessible (for example if there is a constructive or destructive interference like in the double slit experiment for light). The word observer is chosen here for conceptual reasons only. There is no need for a physical or conscious observer, any recorded interaction of a field that evolves in one of our spatial dimensions with the other spatial dimensions making the plane of the screen will do.
Taking that into account, the observer who can’t understand and measure time would have to make use of complex functions and associate them with observables which the observer can measure and understand such as wavelength λ or energy (if the energy of a wave is proportional to its frequency which is the case for electromagnetic radiation – photons and free fundamental particles). Also, such waves can not be entirely described only by spatial functions (for example ). Using the complex plane gives us a necessary extra degree of freedom, essential for our correlations.