4. Gnomonic Holography of Three-Dimensional Surface
Unfortunately only a few people can conceive a four-dimensional hyper-manifold . However, the aforementioned process can be applied to a -dimensional surface of the dimensional hyper-manifold. Around the North Pole
as a reference system center, try to envision drawing an imaginary manifold given by polar coordinates of radius , . Our manifold is of a fixed curvature of radius . Proceed in similar way already described above for an ordinary manifold encircling point until the whole surface of the hyper-manifold is inflated.
Given at cosmological distances, the surface of four-dimensional hyper-manifold , the space purported to be homogeneously inflated with energy and matter and is completely isotropic. The generic metric derivation, that meets these conditions, will be considered below only in case of closed model with positive curvature .
These equations represent so-called closed space manifolds of curvature one on the surface enclosing four-dimensional hyper-hyper-manifold
Given that a gnomonic diffeomorphism
maps into a quadruple of three-variable functions
defined in spherical coordinates, where
, ,
and , the gnomonic holography of from the North Pole
)
identifies with the hyperplane through the origin
)
perpendicular to the line connecting with South Pole
:
4.1. Incorporating Planck Data into Gnomonic Holography
Before approaching this issue, it is necessary to start calculating the volume of 3-dimensional regions in our 3-dimensional Euclidean plane . The following mathematical sequence is reduced to the following chain of formulas.
We know that in flat topology, the volume rod is equal to ,
whereas the rod length is given by
.
Applying the same rule to the previous flat expression for , we obtain volume rod
as
:
In order to incorporate the Planck Mission 2013 satellite data into gnomonic holography, it is necessary to normalize (i.e., determine the proportion of) the volume with respect to the total volume . Indeed, it is straightforward to verify that the volume of the entire space is given by
,
Now it remains for us to calculate which part in percentage is the volume in relation to . To incompass the gnomonic holography in order to confirm to the matter composition put forward by the Planck Mission 2013 satellite data it is necessary to establish the normilised share% of the volume with respect to the entire volume .
Synchronization of Internal Parameters by Means of a Dynamic System
For the initial conditions of the model, we adopted Plank’s mission data results as the primary observational input. In standard cosmological notation, the results are expressed in terms of density parameters , where each component represents the ratio of its energy density to the critical density:
.
Below we use additional parameters: the energy absorption -flow coefficient, and the internal parameters and , which are determined by usual results of ΛCDM’s energy composition corresponding to some interactive mapping.
Recall the Planck’s usual results of the ΛCDM’s energy composition in the form of:
0.268, 0.683, 0.049, where:
denotes the cold dark matter density fraction,
denotes the dark energy density fraction,
denotes the baryonic (ordinary) matter density fraction.
These parameters provide the empirical baseline against which the predictive capacity of the gnomonic holographic model must be assessed.
We define a root-finding operator means: solve with respect to , starting from an initial guess (so implicitly something like Newton’s method or another iterative solver). Then we define a function:
, in infinity . (5).
After that, we introduce a dynamic system on a quadruple:
.
Each next value is defined implicitly via a root-finding step; update for:
;
;
=;
=;
=.
Crucially, the
enforces these proportions dynamically: only those parameter trajectories for which the iteration converges to values reproducing
are retained. In this way, the observed cosmic composition emerges as a
consistency or restraint condition of the underlying geometric-holographic structure, rather than an independent input, which split the radial domain
into two ons;
—the dark matter radius, and
—the visible matter radius:
However, this pair of fixed points gives a unique triple:
0.836507709, 0.914966003, and 0.124579169.
These structures emerge through gnomonic holography, in which higher-dimensional geometric configurations manifest as observable physical properties. Within this framework, cosmic expansion is interpreted not merely as a kinematic effect, but as a consequence of an underlying geometric constraint structure.
A central role is played by the Iterative Root-Finding Mapping , which must converge under the constraint that its fixed point is synchronized with the observational values listed in Table 1, namely the present-day fractions . In this sense, the mapping is not arbitrary: it acts as a selection principle, admitting only those solutions that are consistent with the empirical composition of the Universe.
Among all mathematically admissible solutions , we identify a single physically admissible branch satisfying these constraints and adopt it throughout. Other solutions, while formally valid, correspond to disjoint mathematical cases and are excluded from the present analysis.
The shares induce two distinct (figurative) divisions that may be interpreted as an ″inside″ and an ″outside″ by a Klein bottle (KB). For geometric intuition only, this separation may be visualized, however, this representation carries no formal topological significance within the model.
Thus, the ″inside″ region of KB is associated with the dark matter sector, while the ″outside″ region corresponds to baryonic matter, with the intermediate domain encoding dark energy. The associated angular ranges are: , .
We argue that on the flow of absorbtion the value 0.124579169 in
0.124579169 0.877272830.
corresponds to the present Planck mass–energy budget. Although this value was not derived independently and represents incompassed value of the parameter, the parameter nevertheless has predictive power. Indeed, decreasing predicts the universe eventual thermal death , with 0.0872728310. In contrast, approaching the Big Bang along , the ratio of dark mater per unit of visible matter rises to approximately at , showing that dark matter overwhelmingly dominated baryonic matter near the Big Bang.
It remains to examine once more the connection between the metric space—interpreted here as a gnomonic holography—and its original pre-image defined by the Landau–Lifshitz metric (1). As previously noted, metric (1) appears to represent two ″bubbles″ extending along the coordinate r: one obtained by increasing r from 0 to 1, and the other by decreasing r from 1 to 0. This behavior may be heuristically understood as a transition from the ″inside″ to the ″outside″ of the Klein bottle along the coordinate r. This interpretation becomes more transparent under the substitution
, (7)
where parametrizes the gnomonic interval. Within the gnomonic holographic picture, these two bubbles are clearly separated—analogous to the interior and exterior of the Klein bottle—by the transition boundary at r =1. In contrast, within metric (1), the two bubbles are superimposed, each possessing a volume .
For heuristic purposes, the non-orientable topology of the Klein bottle may be described in terms of ″inside″ and ″outside″ regions represented as two overlapping domains within the gnomonic interval .
These domains may be visualized as interpenetrating regions distributed along the boundary , overlapping at all points equidistant from the common center. Each region is associated with an effective volume , emphasizing their topological equivalence and the absence of a globally well-defined interior–exterior distinction. The reader may verify this correspondence by substituting (7) into equation (1), which yields metric (3) and, consequently, metric (4), in agreement with the derivation given above.
It remains for us once again to pay attention to the connection between the metric space, which is a gnomonic holography, and the original (pre-image) defined by the Landau-Lifshitz metric (1). As already noticed, in metric (1), there seem to be two bubbles extending along the coordinate when moving along from zero to , and in the opposite direction from to zero. This movement along the coordinate will be clear from the substitution (7), when moving along the coordinate within the gnomonic interval . In gnomonic holography, as said, these two bubbles are clearly separated by the transition boundary when . In metric (1), however, these two bubbles are hyper-imposed on each other and each of which has a volume of .
In order to be convinced of the above, we need to calculate the volume of the three-dimensional manifold , which extends in metric (1) normilized within the interval . Indeed
,
for , .
Proposition. Under the coordinate transformation
, ,
the Landau–Lifshitz / FLRW metric (1) is mapped into the gnomonic metric (3), thereby realizing a gnomonic projection equivalence with spatial part of the FLRW metric in the form of gnomonic holography of four-dimensional hyper-manifold onto the Euclidean space .
Indeed, applying the substitution
, we obtain just testing that:
These values underscore the significant dependence of observational interpretation on the underlying our theoretical framework. The stereographic Landau-Lifshitz (LL) metric offers an alternative geometric perspective for understanding cosmic evolution,
for 0.675545953, and for 3.069027963.
These
’s values originate from the postulate of so called zero-point-field (ZPF) phase transitionin to baryonic and dark matter (Mullat, 2022, illustration on
Figure 2):
, and .
4.2. Gnomonic Holography and a Hubble-like constant
A foundational principle in cosmology asserts that any valid model must be capable of making predictions across a time scale. This principle underpinned the success of classical mechanics and, later, Einstein’s general theory of relativity—especially in addressing anomalies such as Mercury’s orbital motion. In these traditional frameworks, time is an indispensable parameter.
By contrast, our approach does not rely on time in the conventional sense. While this may appear to be a significant limitation, our objective is not to track motion through time, but rather to predict the composition of the Universe—its mass–energy budget—near the Big Bang and during its terminal phase. This is achieved within a speculative framework in which potential energy is absorbed from Quantum vacuum, or hypothetical Dark energy (DE) field ZPF (if treated as vacuun energy).
In this model, dark and visible matter are represented as volumetric structures
and with radii
0.675545953 and 3.069027963,
respectively, emerging through a derivation process we term gnomonic holography.
Because the absolute sizes of these volumes are unknown, the analysis is conducted using relative percentage changes and volume accelerations on a normalized (k-flow) basis. Planck-scale mass–energy considerations indicate a substantial excess of dark over visible matter, motivating the intrinsic paramatisation of this k-flow using the dark matter radius 0.675545953, corresponding to a current absorption coefficient
0.124579169. The coefficients
are treated not as a time-dependent variable but as an interval-flow parameter representing successive phases of energy absorption by dark and visible matter. It characterizes a transition from an initial gravitational field to a mixed matter state, during which gravitational entropy decreases while mixture entropy increases, rendering the Universe progressively more transparent to energy absorption. In this sense, assumes a role analogous to time, enabling logically consistent—though hypothetical—predictions without invoking explicit temporal evolution.
The model assumes that matter originated through a phase transition of a primordial energy field, described in normilized form by:
, c.f. (5), where
the denotes the volume of a three-sphere with its gnomonic radius (rod) .
In standard cosmology, Hubble’s law is expressed as , where is the recession velocity, is the distance, and is the genuine law constant. Within the gnomonic holographic framework, this relation emerges in a different yet natural way.
Consider a normalized volume , where represents the length of a rod extending from a point on the 3D supersphere embedded in a 4D manifold. This rod is associated with a differentially small 3D area element at its apex. Suppose the rod increases infinitesimally in length by . By assumption, this increment is proportional to the corresponding change in the supersphere differential, such that
,
where is a Hubble-like constant of proportionality. It follows that
.
where denotes the rate of change of the volume with respect to . Using the gnomonic holographic formulation, can be expressed as
, or as , (6)
(or equivalently via an alternative trigonometric form). We then define a -flow parameter by assigning
.
This framework describes a geometric configuration in higher-dimensional space, where acts as a radial coordinate along the hypersurface, and represents a 3D volume associated with a flow characterized by . The key assumption is that changes in volume are proportional to radial increments, leading to the differential relation . Thus, plays the role of a scaling constant, analogous to the Hubble constant in cosmology, while can be interpreted as a ″holographic velocity,″ suggesting a connection to holographic principles or emergent geometry.
The last part shows flow invariance: If you rescale , in combination with then the part stays unchanged. Indeed,
or , i.e., is invariant under the transformation for any proportionality coefficient .
That’s a strong symmetry condition—basically saying the system behaves the same at different scales. Evaluating the derivative of the holographic function at gives:
0.042413304. The resemble of Hubble-like constant is therefore:
72.360029494.
This result closely matches the observed empirical value of km/s/Mpc. Taking the reciprocal of the expression
;
the reciprocal relation also gives an estimate: ≈ 13.8 billion light years for the size of the observable Universe. This level of agreement therefore provides a strong indication that the model captures key aspects of the underlying physical reality with notable precision.
Conclusion. We argue that this value of the Hubble-like constant is not merely a fitted parameter, but an intrinsic consequence of gnomonic holography combined with the hypothesis that matter emerged from a primordial energy field suggesting that the Hubble-like constant may be understood as a geometric consequence of the model rather than an independently imposed observational constant.
4.3. Predictive Power of the Proposed Cosmological Framework Revisiting the Section 1.5
It is now well-established that the Universe is undergoing accelerated expansion—a phenomenon first discovered through supernova measurements by Saul Perlmutter, Brian P. Schmidt, and Adam G. Riess, who were awarded the 2011 Nobel Prize in Physics for this work.
We employ the -equation as the predictive core in those analogies lines, treating its mapping abilitiers within the mnemonic holography black box, where empirical reality provides the input. Rather than calibrating the equation to fit observations, the requirement is that the model, when evaluated under physical conditions, encompasses the Planck results as an intrinsic consistency condition.
Specifically, we impose and adopt the parameter values
0.83751020, 0.914966003, and 0.124579169.
Within this interpretation, is not a fitted parameter but emerges as the present-day absorption coefficient, defining the reference (zero) point of the -flow. In this framework, evolves over the history of the Universe, transitioning from higher to lower values through cosmic development. Deviations from the reference value 0.124579169—whether toward larger or smaller values—encode information about the energy–matter composition at different stages of cosmic evolution. This last value can therefore be interpreted as the present-day absorption coefficient defining the zero point of the -flow.
The central parameter of the model is , interpreted as the rate of energy absorption from the zero-point field (ZPF). The value 0.124579169 serves as a critical point that partitions the -flow into two regimes (-flow future and -flow past):
— indicating evolution toward the terminal phase of the Universe.
— corresponding to evolution in the opposite direction, approaching the initial conditions associated with the Big Bang.
Thus, the -framework functions not as a calibrated fit, but as an interpretive structure in which the observed Universe is processed through the model, and acts as the organizing parameter of cosmological time and state.
4.4. Interpreting Cosmic Expansion with Gnomonic Holography
To conclude, we summarize and interpret the calculated results, which are presented in
Table 2 in the context of the preceding fenomenological sections and the mathematical framework employed. Our speculative interpretation of dynamic expansion—along with the increasing and decreasing acceleration—may seem ambitious, but it is conceptually straightforward and does not rely on advanced computational methods. This simplicity, as promised at the outset, is central to our proposed framework.
What follows is a truly intriguing and bold concept with deep philosophical and scientific implications. We hope it will be more accessible to a wider audience, especially those not well versed in advanced cosmology or philosophical theory. The text preserves the core ideas of the article while making it flow more smoothly, cutting down on technical jargon, and emphasizing the novelty of our thoughts.
The maximum of expansion rate velocity, and both the maximum positive acceleration and its minimum (negative) acceleration rates, corresponding to a phase of deceleration in the cosmic expansion. The model yields the values: velocity 0.04250418, acceleration −0.047545094.
These values indicate a reduction in the acceleration of cosmic expansion. Within this framework, the theoretical model offers a novel interpretation of the distinct expansion behaviors of baryonic matter and dark (hidden) matter,
Specifically: Baryonic matter continues to expand, but its expansion rate is decelerating. Dark (hidden) matter, by contrast, expands with positive acceleration. This dichotomy is consistent with observational results reported by Saul Perlmutter and collaborators regarding cosmic expansion measurements. Moreover, reg. the visible universe
″Scientists have long held that the universe is expanding at an ever-increasing rate, driven by a mysterious but measurable force known as dark energy. Now, a new study might upend that idea, suggesting the universe’s expansion is actually slowing down—and that dark energy is diminishing, rather than stable.″ Smithsonian magazine, accessed 27.02.2026:
Given -flow acceleration, where is determined the Root(…) operator as in (6):
or . (8)
Maximum of
at 0.286546969; the value 1.779116815 is reached when with respect to κ, yielding κ=0.469443328.
Minimum of at
1.103580914, the value −0.667009510 is reached when
with respect to κ, yielding κ=0.089504773;
Maximum of at 0.707106781, the value 0.754512323 is reached when
with respect to κ, yielding κ=0.118835137.
The table compiles key indicators related to velocities, accelerations, and characteristic radii, alongside their corresponding values on the -flow. Each quantity is derived from the governing function and its derivatives, evaluated at specific radii.
The figure highlights several important points in the model dynamics. In particular it represents a situation in which the parameter
acts as a player capable of predicting the its value at which a point on the graph will be reached. To determine this value, the gnomonic coordinate
must be substituted into the Γ-equation corresponding to the points where the extrema occur: the maximum of the velocity rate
; the maximum of the acceleration rate
, and the minimum of
. The resulting equations are then solved for
. The following
Table 2 yields
Figure 4 content.
A central feature of the model is that the -equation yields two roots, denoted and , with . The limiting case is not excluded and corresponds to a terminal state in which dark energy is fully depleted. Within this framework,
is interpreted as the radius associated with dark matter,
corresponds to the radius of visible matter.
Accordingly, all numerical values in
Table 2 appear in pairs, representing first the dark matter component and then the visible matter component. Each indicator is computed based on these radii.
Only quantities exhibiting a local extremum (maximum or minimum) within the considered radial interval are included in the table. This selection criterion is consistent with the behavior illustrated in
Figure 4. Notably, functions associated with visible matter do not always exhibit local extrema within this interval of interests and are therefore omitted in such cases.
Figure 4 is a direct graphical representation of the quantitative results summarized in
Table 2. Specifically, the figure visualizes the behavior of the universe’s expansion dynamics—both the velocity and acceleration rates—derived from the same governing functions whose key extrema and corresponding parameter values are listed in
Table 2. Each critical point shown in
Figure 4 (such as maxima and minima of velocity and acceleration rates) corresponds exactly to entries in
Table 2, where their numerical values, associated radii, and κ-flow parameters are reported.
In this sense,
Table 2 provides the precise numerical backbone of
Figure 4: the extrema identified analytically from the governing equations are plotted in the figure to illustrate their role in the overall dynamical evolution. Conversely,
Figure 4 offers a visual interpretation of
Table 2, showing how these discrete values fit into continuous curves of velocity and acceleration rates as functions of the gnomonic coordinate.
Moreover, the
-values listed in
Table 2 determine the exact locations of these extrema on the curves in
Figure 4. By substituting the corresponding radii into the governing equations and solving for
, one obtains the same parameter values that locate the highlighted points in the figure. This establishes a one-to-one correspondence between the tabulated indicators and the graphical features.
Overall, the results summarized in
Table 2 appear to reflect a consistent dynamical picture of the universe’s evolution. The model does not contradict current observational understanding and, in several respects, aligns with established descriptions of cosmological dynamics.
Thus,
Table 2 and
Figure 4 should be read together: the table identifies and quantifies the key dynamical events, while the figure situates them within the global evolution of the model.
We now turn to the -flow parameter. As established throughout the paper, the value
0.12453093
represents the current state of the universe within the proposed
-flow framework. Values of
greater than this reference
correspond to earlier cosmological stages (closer to the Big Bang), while smaller values correspond to later stages, approaching the final state of matter in the universe. This parametrization enables a unified interpretation of all events represented in
Table 2 along a temporal-like
-flow, encompassing both past and future states of the system.
From these results, the following conclusions may be drawn. In case when if the absorption coefficient according to Planck is taken as current 0.124579169 the event corresponding to 0.469443328 lies at a value greater than the Planck reference and may therefore be interpreted as belonging to an earlier cosmological epoch, closer to the Big Bang. In case when, the event associated with 0.089504773 lies below the Planck reference value and may be interpreted as occurring in the future, toward the ultimate thermodynamic fate of the universe. In case when, the event corresponding to 0.118835137, associated with the maximum relative expansion velocity of the universe, lies sufficiently close to the present Planck reference state of mass–energy budget to suggest that it will occur relatively soon on our cosmological -flow.