Gauge Freedom and the Born Rule
Gauge Freedom and the Born Rule: Extending the Unitary Refinement Program to Generalized Quantum Measurements This preprint develops a generalized refinement framework for mixed quantum states and positive operator-valued measures (POVMs), extending an earlier representation theorem derived for pure states and projection-valued measurements (PVMs). The central result is a Representation Invariance Theorem, showing that physically equivalent purification and Naimark-dilation realizations induce identical abundance assignments, allowing the measure constructed in an enlarged projective space to descend consistently to the operational pair. The paper argues that the generalized Born rule can be understood as the compressed representation of a previously constructed abundance measure rather than an assumed probabilistic postulate. The framework preserves the distinction between primitive branch abundance, induced event measure, and rational credence established in the earlier work. In addition to extending the theory to mixed states and POVMs, the paper proves a finite-dimensional robustness theorem showing that approximately orthogonal record structures induce only controlled deviations from the ideal projective measure. The resulting framework links quantum foundations, generalized measurement theory, decoherence, and modern quantum information science. This manuscript is the second stage of a broader research program investigating: finite projective refinements and branch abundance; representation invariance for generalized measurements (this work); robustness, continuous realization spaces, and gauge-like structures of approximate branches; and operator-algebraic extensions involving Type III von Neumann algebras.
Authors
- Michael Tolbert (ORCID: https://orcid.org/0000-0003-0748-6333)
Publication Details
- Journal
- Zenodo (CERN European Organization for Nuclear Research)
- Published
- 2026-09-18
- DOI
- https://doi.org/10.5281/zenodo.22832353
- Primary Topic
- Quantum Mechanics and Applications
- Type
- preprint