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Structural Selection

Part I–IV

Born Rule from Stability & Measure Geometry

Derives the squared-norm measure from local additivity and normalization rather than postulating it — compared against Gleason's theorem, envariance, and decision-theoretic programs.

7 chapters · 3 appendices

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Chapters

  1. Introduction578w
  2. Structural Stability in Quantum Measurements628w
  3. Geometric Measure Derivation684w
  4. Decoherence Kernels and Dynamical Selection572w
  5. Large-N Limit and Measure Concentration432w
  6. Relation to Gleason and Comparison587w
  7. Discussion and Implications498w

Appendices

  1. Appendix A. Technical and Measure-Theoretic Details823w
  2. Appendix B. Large-N Limit and Concentration of Measure511w
  3. Appendix C. Comparison with Gleason, Envariance, and Decision-Theoretic Approaches446w