Physical Distinction Theory: From Resource-Bounded Discrimination to Quantum Geometry, Open-System Dynamics, and Thermodynamic Monotones

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Authors: Md. Amir Khusru Akhtar
Cited by: 2

Abstract

Physics ordinarily begins by specifying states, observables, fields, Hilbert spaces, or spacetime and then asks what can be observed. Physical Distinction Theory (PDT) reverses that order and starts from a finite-resource operational question: which physical alternatives can actually be discriminated within declared limits of energy, time, control, spatial access, and error? This paper develops PDT as a resource-relative theory of physically accessible distinction and, equally importantly, proves where that primitive is insufficient. A scalar distinction capacity is shown not to determine local geometry, and a strengthened ℓp counterfamily proves that complete erasure and elementary radial resolution alone do not force Euclidean structure. With an explicit reversible-distinction-equivalence assumption, the elementary state body is conditionally forced to an ellipsoid and hence a Euclidean ball. Composite non-uniqueness is then proved, making the subsequent n = 3 Bloch-ball selection an imported reconstruction corollary rather than a PDT-native theorem. Conditional Born-weight and Tsirelson theorems are stated with their assumptions exposed. For dynamics, the paper replaces a metric-only rate with an exact total distinction tensor that separates resource-metric motion from state-flow motion. Controlled environmental records yield exact pure- and mixed-record coherence relations and an operational time-local ADDE representation, while a same-input theorem shows why these relations do not by themselves modify microscopic quantum mechanics. Resource-restricted hypothesis-testing and free-energy monotones, computational audits, real-data stress tests, falsification rules, and a sharply delimited gravity frontier complete a reproducible foundations program.

Fields of Study & Subjects

Quantum Mechanics and Applications Complex Systems and Dynamics Statistical Mechanics and Entropy

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
7 September 2026
Language
EN
Document type
Preprint