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Volume 8 — Collapse Entropy and Information Geometry

Information Theory in Golden-Base Tensor Space

This volume develops information theory specifically for φ-constrained systems. Entropy, compression, and information flow take on new meanings when subject to the fundamental constraint that no two 1s can be adjacent.

Chapter Index

Chapter 128: TraceEntropy

Entropy Definition over Collapse Trace Paths

Fundamental entropy measure for trace structures.

Chapter 129: HSBound

Hurt–Sada Array as Compression Bound Mechanism

Optimal compression limits in φ-constrained space.

Chapter 130: InfoFlow

Trace-Based Collapse Information Current

Information as flow through trace networks.

Chapter 131: EntropyDensity

Local Structural Information Density in φ-Tensor Networks

Spatial distribution of information content.

Chapter 132: ObsInfoScope

Observer Trace Bandwidth and Info Cutoffs

Information limits from observer constraints.

Chapter 133: InfoMap

φ-Trace to Shannon Map on Collapse Structures

Connecting collapse entropy to Shannon theory.

Chapter 134: EntropyGradient

Collapse Divergence Field and Structural Gradient

Gradient flows in information space.

Chapter 135: EntropyLimit

φ-Saturation Threshold of Structural Compression

Maximum compression before violating constraints.

Chapter 136: CollapseThermo

Laws of Entropic Flow in Trace-Constrained Dynamics

Thermodynamic laws for collapse systems.

Chapter 137: MutualCollapseInfo

Inter-Trace Collapse Information Coupling

Mutual information between trace structures.

Chapter 138: EntropyDistance

Tensor-Based Collapse Divergence Metrics

Distance measures using entropy differences.

Chapter 139: PhiCompressCode

Optimized Collapse Encoding Grammar with Minimum Rank Loss

Compression algorithms preserving trace rank.

Chapter 140: SpectralEntropy

Flatness Constraints on Collapse Spectra

Entropy in frequency domain.

Chapter 141: InfoGeometry

Information-Theoretic Metrics on Collapse Field Manifolds

Geometric structure of information space.

Chapter 142: NoiseCollapse

Structural Uncertainty from Path Collapse Degradation

Noise as trace structure degradation.

Chapter 143: ZetaInfoManifold

ζ(s) Mapping onto Collapse Information Landscape

Spectral view of information geometry.


Key Concepts Introduced

  1. Trace Entropy: Information in φ-constrained space
  2. HS-Bounds: Compression limits from Hurt-Sada
  3. Information Flow: Current through trace networks
  4. Observer Bandwidth: Information capacity limits
  5. Entropy Gradients: Directional information flow
  6. Info-Geometry: Manifold structure of information

Dependencies

  • Volume 0: Trace language and compression
  • Volume 4: Geometric structures
  • Volume 7: Observer information limits

Next Steps

  • Volume 9: Measurement and information
  • Volume 28: Memory and storage
  • Volume 29: Information rewriting

"Information flows where golden traces allow."