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February 5, 20260 citationsOpen Access

A Parameter-Free Spectral Framework: Generator Rigidity, Observable Algebra, and Deterministic Predictions from Compact Operator Theory

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QNQuoc Truong NguyenVietnam National University Ho Chi Minh City

Key Points

  • The aim is to establish a fully deterministic framework where observable quantities are derived from the algebraic structure without any fitting parameters.
  • Developed a deterministic and parameter-free mathematical framework for observable quantities.
  • Constructed the closure algebra of observables using a minimal generator set.
  • Applied standard ellipticity and coercivity conditions for operator analysis on a Hilbert space.
  • Utilized classical functional analysis and spectral theory for the derivation and predictions.
  • Provided Lean 4 formalization for machine verification of the logical framework.
  • All observable predictions arise as eigenvalues of the operator determined by the algebraic structure.
  • The framework does not rely on probabilistic assumptions or empirical calibrations.
  • Demonstrated that predictions can be machine-verified through the provided Lean 4 formalization.

Abstract

This work develops a fully deterministic and parameter-free mathematical framework in which all observable quantities arise as structural consequences of a finitely generated observable algebra. Starting from a minimal generator set, we construct the closure algebra of observables and realize it as operators acting on a Hilbert space. Under standard ellipticity and coercivity conditions, the associated operator admits compact resolvent, implying a discrete spectrum. All predictions therefore emerge as eigenvalues determined solely by the underlying algebraic structure, without phenomenological parameters or fitting procedures. The entire derivation is deductive and theorem-based. No probabilistic assumptions or empirical calibration are introduced at any stage. Each step follows from classical functional analysis and spectral theory. A Lean 4 formalization is provided to enable machine verification of the logical core. The project is designed so that all constructions are, in principle, checkable by the Lean proof kernel. Contents include:• full LaTeX source of the paper• compiled PDF• Lean 4 formalization skeleton This repository aims to provide a rigor-maximal, reproducible, and machine-verifiable foundation for deterministic observable prediction.

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Cite This Study

Quoc Truong Nguyen (2026) studied this question.

synapsesocial.com/papers/6984345ff1d9ada3c1fb2786https://doi.org/10.5281/zenodo.18460607
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