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June 7, 20260 citationsOpen Access

R-layer Mode Theory XXII: Information Flow and Emergent Dynamics — Unified Dynamical Structure Across Scales

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TTTsuyoshi Tohi

Key Points

  • This work aims to solidify the dynamical foundations of R-layer Mode Theory by connecting various physical phenomena through information flow.
  • Establishes the relationship between motion, force, and information flow within a tension-field.
  • Demonstrates that quantum evolution, classical motion, and gravitational dynamics are manifestations of a unified informational continuum.
  • Analyzes how microscopic fluctuations lead to classical behavior and how informational gradients govern gravitational dynamics.
  • Motion is seen as the evolution of informational modes across hierarchical layers, rather than mere displacement.
  • Time reflects the rate of informational change, with entropy linked to the accessibility of information across layers.
  • Gravitational attraction and curvature result from the flow of information within the tension-field.

Abstract

Volume XXII establishes the dynamical foundations of the R-layer Mode Theory (RLMT) by showing that motion, force, time, energy, entropy, and gravitational curvature arise from the flow of information within the tension-field. Building on the structural unification developed in Volume XXI, this volume demonstrates that quantum evolution, classical motion, and gravitational dynamics are not separate physical regimes but different projections of a single informational continuum. The central results include: Information flow as the origin of dynamics: Motion is interpreted as the evolution of informational modes across hierarchical layers, rather than the displacement of objects in an external spacetime background. Emergent temporal structure: Time is defined as the rate of informational change, and the arrow of time arises from the asymmetry between accessible and dispersed information. Energy and entropy from information density: Energy corresponds to gradients in information density, while entropy measures informational accessibility across layers. Hierarchical dynamics: Microscopic fluctuations propagate upward to generate classical behavior, while global informational gradients propagate downward to shape local evolution. Emergence of classical motion: Classical trajectories minimize informational dispersion across layers, providing an informational interpretation of the principle of least action. Gravitational dynamics as global information flow: Curvature and gravitational attraction arise from global informational gradients within the tension-field. Volume XXII completes the dynamical foundation of RLMT and prepares the ground for Volume XXIII, where the informational continuum is extended to cosmology and large-scale structure.

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Cite This Study

Tsuyoshi Tohi (2026) studied this question.

synapsesocial.com/papers/6a250c7d7def13d035e1cb4chttps://doi.org/10.5281/zenodo.20555535
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