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arXiv:2604.07418 · Journal of Modern Physics

Borns Rule from Reversible Evolution and Irreversible Outcomes

Oskar Axelsson

quant-phSubmitted Apr 8, 2026• Announced Apr 9, 2026• 0 citations• Revised Oct 9, 2026 (v2)
v1 · Apr 8, 2026v2 · Oct 9, 2026
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Abstract

We show that the quadratic measure associated with the Born rule need not be introduced as an independent probabilistic postulate, but follows, under the stated structural and regularity assumptions, from the compatibility between reversible linear evolution and the formation of stable records. Physical processes alternate between reversible dynamics and episodes of record formation. Quantities that remain well defined throughout such processes must therefore admit a representation that remains consistent across both regimes. Prior to record formation, alternatives combine additively at the level of complex amplitudes, whereas successive record-forming distinctions admit a multiplicative representation through refinement. Requiring compatibility between these compositional structures constrains the admissible weight assignment to the family of weights proportional to the pth power of the amplitude magnitude. The finite-dimensional specialization of Lamperti's isometry theorem then singles out p = 2 as the unique value compatible with continuous reversible linear mixing while preserving total weight. The Born rule therefore emerges as the unique weight assignment compatible with reversible linear composition, multiplicative record refinement, phase invariance, and continuous reversible invariance, without invoking probabilistic assumptions or a specific interpretation of quantum measurement.

Journal reference
Journal of Modern Physics 17(10), 1282-1294 (2026)
DOI
10.4236/jmp.2026.1710056
Comments
Published version. 11 pages, 1 figure. Derivation of the Born rule from compatibility between reversible evolution and irreversible outcomes

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We show that the quadratic measure associated with the Born rule need not be introduced as an independent probabilistic postulate, but follows, under the stated structural and regularity assumptions, from the compatibility between reversible linear evolution and the formation of stable records. Physical processes alternate between reversible dynamics and episodes of record formation. Quantities that remain well defined throughout such processes must therefore admit a representation that remains consistent across both regimes. Prior to record formation, alternatives combine additively at the level of complex amplitudes, whereas successive record-forming distinctions admit a multiplicative representation through refinement. Requiring compatibility between these compositional structures constrains the admissible weight assignment to the family of weights proportional to the pth power of the amplitude magnitude. The finite-dimensional specialization of Lamperti's isometry theorem then singles out p = 2 as the unique value compatible with continuous reversible linear mixing while preserving total weight. The Born rule therefore emerges as the unique weight assignment compatible with reversible linear composition, multiplicative record refinement, phase invariance, and continuous reversible invariance, without invoking probabilistic assumptions or a specific interpretation of quantum measurement.
We prove a conditional uniqueness theorem for projective measurements on pure states: given the L2 L^2 L2 Hilbert space structure of quantum mechanics, the Born rule P=∣ψ∣2 P = |\psi|^2 P=∣ψ∣2 is the only outcome-local probability assignment compatible with five operational postulates (outcome-locality, normalization, phase independence of the classical record, tensor product factorization, and continuity), with interference consistency used only as a post-hoc check. Physically, the theorem addresses a boundary problem: amplitudes support interference and cancellation before measurement, whereas a stabilized classical record cannot retain the full relative-phase distinction structure in accessible form. Irreversible record formation motivates this phase-insensitivity requirement, although no thermodynamic quantity enters the formal proof. Mathematically, phase independence reduces the map to a function of modulus, factorization and continuity force a power law, and consistency with L2 L^2 L2 normalization fixes the exponent to 2 2 2. Within this framework, the squared modulus is the unique classicalization map from phase-sensitive amplitudes to accessible record weights. The result is complementary in physical motivation to Gleason-type derivations but narrower in scope: it is confined to the pure-state projective setting and does not derive the general trace rule for mixed states and POVMs.
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.
We show the Born rule P = |ψ|² is the unique probability rule consistent with thermodynamic constraints on record formation, conditional on the regime where Landauer-type bounds apply. The derivation proceeds from five operational postulates: normalization, phase information loss in record formation, interference consistency, tensor product factorization, and continuity. The key physical insight is that creating a classical measurement record requires that phase information is not retained in the record accessible to observers, a not-reversible operation with entropy flow to the bath and Landauer cost k_B T ln 2 per bit. The squared modulus emerges as the unique probability rule that (i) eliminates phase to produce positive probabilities, (ii) preserves interference effects before measurement, and (iii) satisfies standard probability axioms. This thermodynamically motivated derivation complements Gleason's theorem: where Gleason proves the rule is mathematically necessary (dimension ≥ 3), we show it is the unique rule realizable through record formation under these constraints (all dimensions including d=2). The framework provides a concrete answer to "why squared?": the irreversible formation of a classical record, on a Hilbert space whose norm is preserved by unitary evolution, admits no other consistent probability rule.
Given the standard Hilbert space structure of quantum mechanics (including L^2 normalization from unitary dynamics), we show that the Born rule P = |psi|^2 is the unique probability rule compatible with phase-independent record formation. The derivation uses one thermodynamic axiom (classical records cannot retain quantum phase, an irreversible operation with Landauer cost k_B T ln 2 per bit) together with three structural axioms (normalization, tensor product factorization, continuity) and an operational interference consistency condition. The squared modulus is the unique function satisfying all five constraints; alternative powers |alpha|^n with n != 2 fail because the L^2 unit sphere is not an L^n unit sphere. This result complements Gleason's theorem: where Gleason proves the Born rule is mathematically necessary given non-contextuality, we identify the physical mechanism (phase information loss during record formation at finite temperature) that makes it realizable. The L^2 structure itself is not derived here; it is inherited from the requirement that unitary evolution preserve the inner product. The contribution is to show that, conditional on that structure, thermodynamics selects the squared modulus as the unique admissible probability map.
The Born rule sits at the heart of quantum mechanics as an unexamined assumption: probabilities are fundamental. For a statistician, that is uncomfortable. Probabilities are tools for describing ignorance — so what, precisely, are we ignorant of? That question leads to a deeper one: what is measurement, really? If measurement is a physical event, something in the world must change when it happens — something records it. WF-S formalises this with two physical inputs and one Lagrangian. Postulate 1 (WF-S kernel): a complex amplitude field φ(x) couples to a real substrate field s(x) via L = Lφ + Ls − g|φ|²s. Postulate 2 (record condition): macroscopic outcomes are weighted by cumulative entropy export σi = ΔSenv,i/kB during record formation. The substrate carries the irreversible imprint of that record. The Schrödinger equation and the Born rule are not independent postulates: they are the same Lagrangian in two regimes, separated by the physical threshold of record formation. The Born rule emerges as the entropy-uniform limit of a more general selection rule — derivable, not assumed. The entropy increments σi are thermodynamic quantities, defined through physical irreversibility independently of any probability assignment. The arrow runs: physical event → thermodynamic σi → outcome weighting → Born rule. The framework makes falsifiable predictions. For two outcome channels, the log-odds shift is ln(P1/P2) = ln(|a1|²/|a2|²) + Δσeff, where Δσeff ≈ εη Δσeng, Δσeng is an independently calibrated entropy contrast and εη is an experimentally bounded suppression factor. Swap-symmetry of the tilt (F1), linear response in engineered entropy contrast (F2), universality of the coarse-graining parameter across platforms (F3), and exact Born recovery in the entropy-uniform limit (F4-F5) are testable on existing platforms independently of the numerical value of εη.This paper is the first in a five-paper series; the substrate framework developed here is extended to forces, gravity, cosmology, and a full information-geometric synthesis in Papers II–V."
This work examines the quadratic probability rule (Born rule) from the perspective of structural admissibility constraints on state evolution. Rather than relying on interpretational or decision-theoretic arguments, the analysis proceeds from symmetry, geometric, and compositional principles. Assuming bounded norm-preserving symmetries, invariance under admissible isometries, tensor-product consistency for independent systems, and normalization, the quadratic rule emerges as the probability assignment compatible with inner-product geometry. Full unitary invariance implies the parallelogram identity and therefore inner-product structure via the Jordan–von Neumann theorem. Under these structural constraints, the quadratic rule is uniquely selected. The paper further analyzes controlled deviations from exact isometric evolution. Allowing bounded, contractive perturbations consistent with completely positive trace-preserving (CPTP) dynamics, the first-order structure of admissible departures from the quadratic rule is derived. Deviations are shown to correspond to contractive departures from strict isometry and must remain operationally realizable within standard quantum dynamical frameworks. This work situates the Born rule within a broader admissibility framework previously applied to dynamical and geometric sectors. The argument is structural rather than interpretational, and emphasizes compatibility with symmetry, composition, and operational consistency.