Informativity Institute · Research brief · 2 November 2026
Cosmological domain partitions
Referenceability, exact fraction closure, the fundamental normalization pivot and the boundary between geometric accounting and physical cosmology.
The question and the proposed contribution
Cosmological accounting can mean either a normalized geometric allocation or physical densities inferred through a dynamical model. The present MQ construction supplies the former and proposes its interpretation through referenceability. A complete physical comparison must explain how those quantities enter the latter. The distinction matters even when two sets of percentages are numerically close. [1] [2] [4]
MQ begins from discrete measure and develops relationships between count structure and realized measurement. The Internal Frame describes count configurations. The System Frame expresses realized relational measures through the Frames mapping. The domain fractions belong to this proposed account of physical referenceability; they are not independently detected populations simply because their labels resemble cosmological terminology. [1] [2] [7]
Domain definitions and normalization
Let denote the visible fraction, the unobserved fraction, the observable fraction, the dark fraction, and the normalized total. These quantities are dimensionless. In the source interpretation the visible allocation is presently referenceable; the unobserved allocation is not presently referenceable but belongs to the domain that can become referenceable. The dark complement is outside that observable domain under the adopted construction. These definitions concern MQ referenceability, not merely whether a telescope has detected a luminous source. [1] [2]
Equation (1a) contains two accounting statements. Visible, unobserved and dark are the three disjoint allocations in the normalized total. Observable is the subtotal of the first two, so adding it again would double count. Figure 1 uses a bar rather than a cosmic map because the fractions alone do not specify spatial shapes or radii. [1] [2]
The coefficient and the additional closure relation
Let be the dimensionless MQ geometric coefficient. The selected numerical profile gives 3.26239030504(25). Equation (2b) is the source relationship between visible and observable fractions. It is an additional geometric relation beyond normalization. [1] [2] [3]
Let be the fundamental fraction, the construction’s normalization pivot. Equation (3c) supplies a further closure condition. Normalization and Equation (2b) alone would not determine the complete partition. The pivot relation is needed to obtain the displayed closed forms. [1] [2]
The pivot is a dimensionless ratio with a distinct role. It is not an extra store of mass or energy to be added to the normalized total. Its value below one belongs to the selected positive branch. The selected coefficient is greater than the square root of two, which also keeps the dark complement positive in the following expressions. [1] [2]
Exact fraction expressions
Solving Equation (3c) for the observable fraction gives Equation (4d). Substitution into Equation (2b), followed by the first identity in Equation (1a), gives Equation (5e). Taking the complement gives Equation (6f). These are exact relations under the stated construction; the local equation labels are for this Brief. [1] [2]
These expressions produce proportions. They do not by themselves provide kilograms, energy per volume, an equation of state or a stress-energy tensor. Allocating a separately specified total mass would require that total and a physical domain prescription. Identifying these proportions with independently conserved cosmological components requires an additional derivation. [1] [2]
Numerical profile and the role of calibration
Table 1 records the profile used here. The coefficient is evaluated through the current source’s fine-structure calibration with inverse fine-structure input 137.035999177(21), from the 2022 adjustment. A 90-digit calculation reevaluated the coherent sequence at the central input and at input shifts of one stated standard uncertainty. The geometric forms and the selected numerical realization remain different parts of the argument. [1] [3]
| Item | Value or prescription | Role |
|---|---|---|
| Inverse fine-structure input | 137.035999177(21) | Shared measured calibration |
| Geometric coefficient | 3.26239030504(25) | Dimensionless selected realization |
| Partition relations | Equations (1a)–(6f) | Geometry and normalization |
| Total normalization | 1 exactly within the accounting | Identity, not measured total mass |
| Uncertainty evaluation | Coherent input shifts; fixed source branch | Input-only propagation |
Deriving a relationship’s form does not require calling its selected coefficient a fundamental measured axiom. Conversely, using a calibrated coefficient to evaluate the relationship does not make its value a new independent prediction. The present numerical check establishes reproduction and internal consistency of the source profile, with physical interpretation requiring its own evidence. [1] [2]
| Quantity | Percent of the normalized total | Accounting role |
|---|---|---|
| Visible | 4.8488348909(10)% | Disjoint allocation |
| Unobserved | 26.7887489867(31)% | Disjoint allocation |
| Observable | 31.6375838776(41)% | Visible plus unobserved subtotal |
| Dark | 68.3624161224(41)% | Complement of observable |
| Fundamental | 18.7913577188(29)% | Separate normalization pivot |
Parentheses in Table 2 state standard uncertainty in the final displayed digits. All rows depend on the same uncertain coefficient. The visible and unobserved shifts combine into the observable shift; the observable and dark shifts cancel in their normalized sum. Treating these rows as independent measurements would discard their covariance and misstate both the total uncertainty and the amount of evidence. [1] [5]
The tiny propagated intervals quantify the selected calibration chain under fixed source prescriptions. They do not measure physical boundary precision, include a general model discrepancy allowance or establish that the categories have been observed to this precision. No independently measured domain-boundary uncertainty is supplied by this calculation. [1] [2] [5]
Closure checks and two common counting errors
Table 3 applies the bookkeeping to the same central profile. The normalized sum closes to unity without adding the subtotal or pivot. The deliberately incorrect sums show why all five percentages must not be read as separate components. [1] [2]
| Operation | Result | Interpretation |
|---|---|---|
| Visible plus unobserved | 31.6375838776% | Observable subtotal |
| Visible plus unobserved plus dark | 100% | Correct disjoint total |
| Observable plus dark | 100% | Equivalent correct total |
| Observable plus dark plus fundamental | 118.7913577188% | Incorrect addition of the pivot |
| Visible plus unobserved plus observable plus dark | 131.6375838776% | Incorrect double counting of a subtotal |
Comparison with standard cosmological parameters
The mass manuscript’s comparison table cites a Planck 2018 TT, TE, EE plus low-multipole polarization selection and reports 31.66 ± 0.84% for matter and 68.34 ± 0.84% for dark energy. These are model-conditioned comparison values. The likelihood selection must accompany them; they should not be silently interchanged with a different Planck combination that also includes lensing or external distance data. [1] [4]
The MQ observable and dark percentages are numerically close to that pair. The pair is complementary under the stated standard model and normalization, so its two entries are not independent confirmations. Neither numerical closeness nor the shared letter used for fractions establishes that an MQ referenceability allocation is the same physical object as a standard density parameter. [1] [2] [4]
In standard cosmology, matter and dark-energy components affect expansion and perturbations through their dynamical properties. Their inferences use spectra and other observables under specified assumptions. A geometric percentage alone supplies neither pressure nor clustering behavior. It cannot be inserted as a component density while bypassing the equations that connect it to observations. [2] [4]
From a geometric partition to an observational test
Figure 2 separates the work needed for a physical comparison. First specify the realized quantity and the boundary prescription. Then derive consistent background evolution and perturbations, including conservation and gravitational response. Finally calculate observable spectra, lensing and growth with an explicit data likelihood and uncertainty model. The diagram identifies requirements; it does not certify that the partition equations have already completed them. [2] [4] [6]
A useful discriminating test freezes the coefficient selection and physical prescription before fitting the target data. It identifies which observations supplied calibration and which add independent information. Any competing model comparison needs the same data selection and a documented treatment of nuisance parameters. Relabeling conventional densities after looking at their fitted values would not supply that test. [2] [4] [6]
Referenceability also should not be equated with absence of gravitational influence. Whether a proposed domain contributes to a microwave-background or lensing observable depends on the derived physical dynamics. Conversely, a fixed geometric partition does not automatically provide the cosmic time evolution of conventional density components. [2]
Chronology and reporting guidance
September 8, 2026 is the recorded source or audit snapshot associated with this retrospective release. This Brief does not establish that date as the first discovery, first public announcement or journal publication. The text was prepared November 2, 2026 against the current public domain manuscripts. Journal publication of those versions is not established. [1] [2]
For a complete story, request the source version, coefficient-selection ledger, domain definitions and the additional closure relation. Ask whether a plotted fraction is an allocation, subtotal or pivot. When discussing standard cosmology, request the physical mapping, evolution equations and predictions for data not already used in calibration. Describe the present result as a theoretical partition with reproduced arithmetic unless further independent tests are supplied.
Research sources and further reading
- J. A. Geiger, Mass in the Universe. Current public manuscript, domain definitions, partition equations and Table 2. Journal publication of this version is not established. Open source →
- J. A. Geiger, Dark Energy. Current public manuscript, geometric domain fractions and limits on their interpretation as physical cosmological components. Journal publication of this version is not established. Open source →
- NIST, Fundamental Physical Constants, complete listing, 2022 CODATA adjustment. Inverse fine-structure calibration used for the numerical profile. Open source →
- Planck Collaboration, Planck 2018 results. VI. Cosmological parameters. Astronomy & Astrophysics 641, A6 (2020), DOI 10.1051/0004-6361/201833910. Cosmological inference from temperature, polarization and lensing under stated models and likelihood selections. Open source →
- JCGM 100:2008, Evaluation of measurement data — Guide to the expression of uncertainty in measurement, Section 5.2. Propagation with correlated inputs. Open source →
- Informativity Institute, Predictions of Measurement Quantization. Independent-test and evidence context. Open source →
- Informativity Institute, Frames of Reference. Internal Frame, System Frame and Frames mapping definitions. Open source →
Prepared November 2, 2026. Exact fraction identities, numerical closure, calibrated values and shared-input roles checked. Figures explain the accounting and test requirements; they are not observed cosmic maps.
