FB(S³)R: Benchmark residual invariants in compact S³ cosmology

Framework proposes a benchmark-grade invariant cosmology on compact S³ geometry, where the dark sector is treated not as a speculative particle model, but as a rigorously reconstructible residual tensor target derived directly from Einstein geometry and observable matter content. Instead of introducing phenomenological dark-energy assumptions, the construction defines a reproducible mapping from invariant quantities to observational likelihoods for CMB, BAO, supernovae, lensing, growth and topology analyses. The central object is the residual stress tensor Tᴰᵤᵥ = c⁴/(8πG) Gᵤᵥ − Tᵛⁱˢᵤᵥ, interpreted as an invariant “data target” rather than a microscopic ontology. In this approach, compact spatial curvature with topology M ≃ I × S³ generates a discrete spectral structure where Laplacian eigenvalues follow λₙ = n(n + 2)/A², producing finite-volume covariance kernels and nontrivial low-mode effects absent in flat ΛCDM limits. The first nonzero spectral gap appears at λ₁ = 3/A², directly linking global curvature radius A to observable harmonic suppression and mode discretization. A key contribution of the framework is the transition from conceptual cosmology to a fully specified invariant-to-data pipeline. Observable spectra are reconstructed through compact transfer operators of the form Cˣʸₗ = Σₙ Aₙ Δˣₗₙ Δʸₗₙ, where admissible covariance coefficients satisfy positivity and convergence conditions Aₙ ≥ 0 and Σₙ Aₙ Ξₙ,A(0) < ∞. This converts topology and residual curvature from philosophical interpretation into directly falsifiable likelihood objects embedded in Bayesian inference and posterior predictive residual analysis. The work further integrates Noether-II gauge constraints, quasi-local Brown–York and Misner–Sharp energies, compact zero-mode conditions, and hyperspherical transfer-function technology into a unified predictive ledger. Importantly, the paper does not claim that topology alone explains cosmic acceleration or CMB anomalies; instead it defines a strict benchmark architecture capable of testing such hypotheses under reproducible numerical standards. The proposed benchmark object B = (I, Θ, π, T, N, V, R) formalizes invariant definitions, priors, transfer operators, covariance models, validation suites and public release manifests as mandatory components of scientific reproducibility. Within this formulation, compact S³ cosmology emerges not as an alternative metaphysical narrative, but as a transfer-grade geometric inference framework connecting curvature, topology, spectral discreteness and residual stress-energy directly to cosmological observables. The resulting programme establishes a falsifiable pathway for evaluating compact-universe scenarios against precision cosmological datasets while preserving full covariance, gauge consistency and coordinate independence.

Authors

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-05-12
DOI
https://doi.org/10.5281/zenodo.20140385
Primary Topic
Cosmology and Gravitation Theories
Type
preprint
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
preprint

FB(S³)R: Benchmark residual invariants in compact S³ cosmology

Boris Batenin, Andrei Preece
Zenodo (CERN European Organization for Nuclear Research)
Cosmology and Gravitation Theories
preprint

FB(S³)R: Benchmark residual invariants in compact S³ cosmology

Boris Batenin, Andrei Preece
preprint en

Abstract

Framework proposes a benchmark-grade invariant cosmology on compact S³ geometry, where the dark sector is treated not as a speculative particle model, but as a rigorously reconstructible residual tensor target derived directly from Einstein geometry and observable matter content. Instead of introducing phenomenological dark-energy assumptions, the construction defines a reproducible mapping from invariant quantities to observational likelihoods for CMB, BAO, supernovae, lensing, growth and topology analyses. The central object is the residual stress tensor Tᴰᵤᵥ = c⁴/(8πG) Gᵤᵥ − Tᵛⁱˢᵤᵥ, interpreted as an invariant “data target” rather than a microscopic ontology. In this approach, compact spatial curvature with topology M ≃ I × S³ generates a discrete spectral structure where Laplacian eigenvalues follow λₙ = n(n + 2)/A², producing finite-volume covariance kernels and nontrivial low-mode effects absent in flat ΛCDM limits. The first nonzero spectral gap appears at λ₁ = 3/A², directly linking global curvature radius A to observable harmonic suppression and mode discretization. A key contribution of the framework is the transition from conceptual cosmology to a fully specified invariant-to-data pipeline. Observable spectra are reconstructed through compact transfer operators of the form Cˣʸₗ = Σₙ Aₙ Δˣₗₙ Δʸₗₙ, where admissible covariance coefficients satisfy positivity and convergence conditions Aₙ ≥ 0 and Σₙ Aₙ Ξₙ,A(0) < ∞. This converts topology and residual curvature from philosophical interpretation into directly falsifiable likelihood objects embedded in Bayesian inference and posterior predictive residual analysis. The work further integrates Noether-II gauge constraints, quasi-local Brown–York and Misner–Sharp energies, compact zero-mode conditions, and hyperspherical transfer-function technology into a unified predictive ledger. Importantly, the paper does not claim that topology alone explains cosmic acceleration or CMB anomalies; instead it defines a strict benchmark architecture capable of testing such hypotheses under reproducible numerical standards. The proposed benchmark object B = (I, Θ, π, T, N, V, R) formalizes invariant definitions, priors, transfer operators, covariance models, validation suites and public release manifests as mandatory components of scientific reproducibility. Within this formulation, compact S³ cosmology emerges not as an alternative metaphysical narrative, but as a transfer-grade geometric inference framework connecting curvature, topology, spectral discreteness and residual stress-energy directly to cosmological observables. The resulting programme establishes a falsifiable pathway for evaluating compact-universe scenarios against precision cosmological datasets while preserving full covariance, gauge consistency and coordinate independence.

Zenodo (CERN European Organization for Nuclear Research)
Cosmology and Gravitation Theories
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.