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July 4, 20261 citationsOpen Access

nformation Folding Geometry (IFG) Phase 1 Research Report Part I: Self-Consistency Analysis of the Dimensional Hierarchy

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SSS Y SunCSC SOLOMON

Key Points

  • The research aims to analyze the validity of the dimensional hierarchy corresponding to information capacity in different manifold settings.
  • Conducted self-consistency analysis of dimensional hierarchy using Fisher information volume as a measure.
  • Analyzed the hierarchy for flat Riemannian manifolds and compact manifolds, establishing cases of failure.
  • Redefined the Information Folding Operator and resolved contradictions in the preliminary framework.
  • Confirmed that the dimensional hierarchy is monotonic for flat Riemannian manifolds with IC(ℝ^n, g_Eucl, γ_n) = (2πe)^{n/2}.
  • Showed that the volume for compact manifolds decreases after n=6, contradicting the hierarchy claim.
  • Introduced augmented information capacity IC_aug to maintain monotonicity by accounting for fold loci.

Abstract

Abstract This report constitutes Part I of the Information Folding Geometry (IFG) Phase 1 investigation. We conduct a rigorous self-consistency analysis of the foundational claim that the dimensional hierarchy 0D → 1D → 2D → 3D corresponds monotonically to increasing information capacity. Employing the Fisher information volume as the canonical measure of information capacity, we establish that the hierarchy holds for flat, regular Riemannian manifolds equipped with Gaussian measures, where IC (ℝⁿ, gEucl, γₙ) = (2πe) ^n/2 is strictly monotone in n. We then demonstrate that the hierarchy fails for compact manifolds: the volume of the unit n-sphere vol (Sⁿ) peaks at n = 6 and decreases to zero as n → ∞, constituting a falsification of the naive dimensional hierarchy in the compact setting. We further derive that the proposed Information Folding Operator F: M → M′ cannot be a smooth map when it changes the topology of the underlying manifold, and we resolve this obstruction by recasting F as a morphism in the category of Whitney-stratified spaces or as a Lagrangian correspondence in the symplectic cotangent bundle. Finally, we prove that folding generically reduces information capacity via the data-processing inequality, and we introduce the augmented information capacity ICₐug to restore monotonicity by tracking the fold locus ΣF. All four logical contradictions identified in the preliminary framework are resolved, and a formal contradiction resolution table is provided. Keywords: information geometry, Fisher information metric, information folding operator, stratified spaces, Lagrangian correspondence, data-processing inequality, effective dimension, Whitney stratification.

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Cite This Study

Sun et al. (2026) studied this question.

synapsesocial.com/papers/6a48a83589561a0c2d78efbchttps://doi.org/10.5281/zenodo.21125946
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