PulseExploreJournal ClubDebatesTrendingResearchersJournals
Instagram
HomeExploreJournal ClubTrending
Synapse
⌘+K
Synapse
May 9, 20264 citationsOpen Access

Composition of Central Projection and the Closed Form of the Composite Curvature Radius: An Algebraic Formulation of High-Dimensional Reduction via One Central Projection and Commutative Cuts on the Sphere

View Full Paper
NKNoriaki Kihara

Key Points

  • This research aims to establish an algebraic foundation for dimensional reduction through central projection and cuts.
  • Provides an algebraic structure for dimensional reduction from R^n to S^{n-1}(r_1) via a single map.
  • Describes axis-wise operations on the sphere as simultaneity-section cuts rather than central projections.
  • Develops the closed form of the composite curvature radius formula.
  • Defines r_final^2 = r_1^2 - sum_{i in S} (x_i^*)^2 as the closed form for composite curvature.
  • Demonstrates that axis-wise cut operations form a completely commutative Abelian semigroup.

Abstract

This paper provides an algebraic foundation for dimensional reduction by central projection. The main results are: First stage: Central projection from Rⁿ to the sphere S^n-1 (r₁) is a single map; this is the true dimension-reducing operation. Second stage: Subsequent axis-wise operations on the sphere are simultaneity-section cuts, not central projections. Commutativity: Cut operations along distinct axes are completely commutative. Closed form of the composite curvature radius: rfinal² = r₁² - sum₈ ₈₍ ₒ (xᵢ^*) ², where xᵢ^* is the axis component on the sphere immediately after the first central projection. Algebraic structure: The set of cut operations forms an Abelian semigroup. The paper deliberately avoids physical interpretation and provides a universal algebraic foundation for any application requiring dimensional reduction from n to d < n dimensions. Bilingual (Japanese / English) preprint with md/tex/pdf formats (6 files total).

Ask AI
Helpful
Bookmark
Share
View Full Paper

Cite This Study

Noriaki Kihara (2026) studied this question.

synapsesocial.com/papers/69fecfafb9154b0b82876a23https://doi.org/10.5281/zenodo.20060728
Ask AI
Helpful
Bookmark
Share
View Full Paper