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Operational Origin of Coarse-Graining Additivity in Born-Rule Derivations

Srdjan Kanacki

Published Aug 10, 2026• 0 citations
Publisher

Abstract

The Born rule is a central postulate of quantum mechanics. Standard derivations typically assume an additive measure over measurement outcomes and then show that the Hilbert space geometry forces this measure into the quadratic form. However, the origin of the additive structure itself is usually left unexplained. We show that the additive structure of operational frequencies can be motivated operationally rather than introduced as an abstract property of a probability measure. Starting from the operational definition of a normalized detector frequency, we derive the additive structure of operational frequencies from the physical fact that merging mutually exclusive detection channels does not change the total number of registered events. Combining this operational additivity with the Hilbert-space representation of channels, unitary equivalence, and boundedness of the resulting functional yields the Born rule:

DOI
10.5281/zenodo.21871304

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The Born rule is a central postulate of quantum mechanics. Standard derivations typically assume an additive measure over measurement outcomes and then show that the Hilbert space geometry forces this measure into the quadratic form. However, the origin of the additive structure itself is usually left unexplained. We show that the additive structure of operational frequencies can be motivated operationally rather than introduced as an abstract property of a probability measure. Starting from the operational definition of a normalized detector frequency, we derive the additive structure of operational frequencies from the physical fact that merging mutually exclusive detection channels does not change the total number of registered events. Combining this operational additivity with the Hilbert-space representation of channels, unitary equivalence, and boundedness of the resulting functional yields the Born rule:
Why does quantum theory assign outcome probabilities by squared amplitudes rather than by some other function of the wave function? Existing results show that the Born rule is singled out by the structure of Hilbert space together with consistency requirements on probability measures, yet the physical role of measurement context is often treated as a mere choice of observable. Here we make the context interface explicit by introducing contextons, a unit of outcome capacity: the smallest increment in a context’s ability to produce one additional stable, externally accessible outcome record (within a fixed reliability threshold). We model the measurement interface as a realization condition that instantiates an orthogonal decomposition of possibilities into distinguishable outcomes. Under three basic requirements – normalization, additivity under coarse-graining of orthogonal outcomes, and representation invariance – outcome weights must take the quadratic form induced by the inner product, yielding and, for rank-one outcomes, . The Born weights are thus read as a context-conditioned “fit” measure: not an extra postulate, but the consistent outcome weight associated with realized distinguishability. The main contribution is conceptual: contextons operationalize measurement context as finite outcome capacity and make explicit the record-level structure on which standard uniqueness results act.
Quantum mechanics says that when you measure a system, the probability of an outcome is the squared modulus of that outcome's amplitude — not absolute value, not cubed, not some other power. The exponent has been two since Born wrote it down in 1926, and for a century it has been a postulate. Copenhagen accepts it as a brute fact; Many-Worlds tries to derive it from decision theory; QBism reframes it as Bayesian credence; Zurek derives it from environmental symmetries; Hardy derives it from operational axioms. Each program leaves at least part of the question unanswered: why squared, and not some other exponent? Gleason's 1957 theorem went part of the way: given a few structural conditions on quantum probability assignments, the squared form is mathematically forced. But Gleason leans on one substantive assumption — non-contextuality — that standard QM postulates rather than derives. This walkthrough shows how the Event Density framework derives the Born rule, including the squared exponent *and* the non-contextuality assumption underneath it, from a smaller set of structural commitments about what reality is made of at the substrate level. The chain has three load-bearing steps: (i) the participation measure is forced to the form √b · e^{iπ} via the Cauchy functional equation on bandwidth additivity plus Frobenius's theorem on real division algebras; (ii) the sesquilinear inner product on the participation-measure space is forced, delivering the Hilbert-space structure Gleason operates on; (iii) non-contextuality is forced by the channel-as-primitive ontology. With non-contextuality derived rather than postulated, Gleason–Busch applies directly. The squared exponent is a consequence of the framework, not a separate postulate.
This record provides a preprint version of a manuscript submitted for publication. The origin of the Born rule remains a central open problem in the foundations of quantum theory. While previous approaches derive the quadratic probability rule from structural, decision-theoretic, or measure-theoretic assumptions, the physical origin of these assumptions is not always transparent. In this work, we propose that observational resolution provides a fundamental constraint on distinguishability, which in turn restricts admissible probability measures. We introduce a resolution-based observational framework in which finite resolution induces coarse-graining and suppresses phase information below a characteristic scale. We show that consistency under resolution-limited coarse-graining selects a quadratic probability structure. In particular, only the quadratic form remains stable under phase averaging while reproducing additive behavior in the classical limit. We further demonstrate that this structure is naturally connected to the quadratic mapping from complex state space to observable quantities, as realized in spinorial representations of three-dimensional geometry. These results suggest that the Born rule can be understood as a structural consequence of resolution-limited observation. This version corresponds to a manuscript submitted to Physical Review X. Version 2: Major revision focusing on the emergence of the Born rule under resolution-limited observation. The manuscript has been restructured for journal submission.
This paper shows how the L2 norm underlying the Born rule arises as a phase-invariant quadratic observable when linear spectral representations are applied to discrete systems governed by L1 structure. Rather than assuming Hilbert space geometry, the result demonstrates how quadratic probability emerges from a combination of discrete combinatorics, linear representation, and phase invariance. The central result establishes that, given an underlying L1 causal structure, a linear spectral representation of states, and invariance under phase rotations, the expected observable magnitude under uniform phase averaging reduces to a sum of squared amplitudes. This recovers the L2 norm and yields the Born rule after normalization. Within this framework: Discrete systems are modeled using L1-based combinatorial structure Observers introduce linear complex representations of these systems Phase variables act as unobservable degrees of freedom and are averaged using a uniform invariant measure Cross-terms cancel under phase averaging, leaving a purely quadratic observable This provides a structural explanation for why quantum probability takes a quadratic form. The result can be interpreted as a consequence of Parseval-type identities applied under phase invariance, rather than as an independent postulate. The paper includes: A formal derivation of the quadratic observable from phase averaging A proof that only the quadratic (p = 2) measure preserves underlying combinatorial volume Numerical validation demonstrating consistency with Parseval identity Simulations reproducing standard interference behavior and norm preservation A construction showing compatibility between defect-based dynamics and Schrödinger-type evolution under additional assumptions The work does not attempt a full derivation of quantum mechanics. Instead, it establishes how L2 structure and Born-rule probabilities arise naturally from discrete L1 systems when represented in a linear spectral form with phase invariance. This result connects discrete geometry, harmonic analysis, and quantum probability, and provides a bridge between combinatorial models and continuous Hilbert space representations.
Understanding the core content of quantum mechanics requires us to disentangle the hidden logical relationships between the postulates of this theory. Here we show that the mathematical structure of quantum measurements, the formula for assigning outcome probabilities (Born's rule) and the post-measurement state-update rule, can be deduced from the other quantum postulates, often referred to as "unitary quantum mechanics", and the assumption that ensembles on finite-dimensional Hilbert spaces are characterized by finitely many parameters. This is achieved by taking an operational approach to physical theories, and using the fact that the manner in which a physical system is partitioned into subsystems is a subjective choice of the observer, and hence should not affect the predictions of the theory. In contrast to other approaches, our result does not assume that measurements are related to operators or bases, it does not rely on the universality of quantum mechanics, and it is independent of the interpretation of probability.
Exactly 100 years ago, Max Born introduced the rule that quantum amplitudes must be squared to produce observed probabilities. The rule became foundational to quantum mechanics, but the deeper question remained: why should nature use the square at all? This paper argues that the answer is connected to time itself. Time does not necessarily need to be treated as a fundamental external background. It can be reconstructed operationally from correlations between an internal quantum clock and the system it measures. We ask which amplitude weighting allows such a relational clock to remain autonomous while the system undergoes general unitary change. Only the quadratic case survives. Restricted transformations leave many alternatives possible, but full unitary mixing isolates the square. The same quadratic structure is then shown to generate the unique additive measure of stable quantum records under explicit record-functionality conditions, through a calibration argument that does not assume the Born rule. A final first-passage argument shows how that measure can be realised as one stable record and, across repeated trials, as observed frequencies. The central result is therefore a convergence: the operational emergence of time and the Born square are not separate features added independently to quantum mechanics. Once phase-bearing Hilbert structure is granted, an autonomous relational clock and a consistent physical record system both select the same quadratic structure. The paper does not claim that time is fundamentally absent or derive Hilbert space from deeper physics. It establishes that an external fundamental time parameter is not operationally necessary, and that relational time reconstruction converges on the same structure responsible for the Born rule. The deeper physical origin of phase, time and the square is developed in the later papers of the MD-BR-26 sequence.