HomeChapter 4: Black Holes

The inner critical is not a knife-edge but a thicker, graded band. As one moves inward into this region, stable wraps that constitute particles lose stability in stages. The system transitions from a particle-dominated structure to a boiling state dominated by a dense filament sea.


I. Definition and Why a “Band” Is Inevitable

  1. Definition: The inner critical band is the spatial interval over which wrapped, particle-forming states transition continuously into a high-density, filament-sea-dominated state.
  2. Why a band:
    • Different thresholds: Distinct particles and composite wraps fail at different stability thresholds, exiting from weaker to stronger.
    • Different timescales: Unbinding, reconnection, and re-nucleation each carry delays, so spatial gradients create temporal tails.
    • Environmental texture: Local tension and shear show organized fine structure rather than a single uniform value.
    • The outcome is a phase-transition zone with clear layering in both composition and response time.

II. Why Stability Fails: Three Interlocking Chains

These chains reinforce each other: stronger external tension slows the internal cadence and makes boundary pushing easier, yielding cross-scale, cascading instability.


III. Layering Inside the Band (Outer → Inner)

These strata are statistical. They may interleave, and their boundaries are not straight, consistent with a banded, textured structure.


IV. Two Sides, Clear Contrast


V. Dynamics: Position and Thickness Adjust


VI. Classify Without a Single Number: Watch Three Things

When all three indicators point from self-sustaining to non-self-sustaining behavior, treat that interval as an active segment of the inner critical band.


VII. Summary

The inner critical band is a graded transition zone. Increasing external tension, slowing internal cadence, and repeated disturbance impacts destabilize wraps in stages, shifting the system from particle-led to filament-sea-led behavior. The band has thickness, breathes, and shows directional bias. Identification relies not on a single number but on self-sustain tests, changes in statistical composition, and the character of time responses.


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Suggested attribution: Author: “Guanglin Tu”; Work: “Energy Filament Theory”; Source: energyfilament.org; License: CC BY 4.0.

First published: 2025-11-11|Current version:v5.1
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