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March 13, 20267 citationsOpen Access

Paper A — Koma Density Geometry

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KSKeiji Sakamoto

Key Points

  • The aim is to investigate how geometric properties can arise from the Koma density kernel via Fisher information.
  • Developing a framework based on the RSF principle to connect density kernels to curvature structures.
  • Evaluating three candidate structures: conformal type, gradient type, and Hessian type.
  • Focusing on connections without mathematical formalization or rigorous proof.
  • Identified structural principles that relate Koma density geometry to effective spacetime metrics.
  • Established criteria for constructing metrics from the density field.
  • Provided theoretical insights into emergent gravity and curvature properties.

Abstract

This paper formulates how geometric structure may emerge from the Koma density kernel through Fisher information structure. It presents a framework that provides a connection principle from information geometry derived from the density kernel to curvature structure, and organizes this structural field as the RSF framework. In addition, it places the condition for Koma Gravity on whether an effective spacetime metric can be constructed from the density field, and compares three candidate structures: the conformal type, gradient type, and Hessian type. This paper is confined to the C-layer (syntactic layer); physical interpretation and cosmological development are not addressed. Keywords: emergent gravity, information geometry, Fisher information, effective metric hypothesis, Hessian geometry, Koma Theory Note on Mathematical Formalization This paper is presented as a structural hypothesis. Mathematical formalization and rigorous proof are intentionally left open, and external verification is welcomed. For correspondence: laboratory@dualbind.comLicense: Creative Commons Attribution 4.0 International (CC BY 4.0)

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Cite This Study

Keiji Sakamoto (2026) studied this question.

synapsesocial.com/papers/69b3ac7002a1e69014cce232https://doi.org/10.5281/zenodo.18953320
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