The Induced Spectral Structure Principle
Abstract
We introduce the Induced Spectral Structure Principle (ISSP), which establishes that any first-order differentiable system necessarily generates a symmetric positive-definite spectral metric through the adjoint composition of its local linear operator. We demonstrate that spectral decomposition is not merely a computational convenience but a necessary structural consequence of differentiability and inner-product geometry. This principle unifies diverse domains—including normal equations in linear systems, metric tensors in differential geometry, and Hermitian operators in quantum mechanics—under a single structural framework. Within the Theory of Axiomatic Necessity (TNA) and Boundary-Induced Collapse (BIC), we interpret this induced eigenstructure as the intrinsic decomposition of a system into structurally stable modes. We show that eigenvectors correspond to Ontological Deltas and eigenvalues to Structural Necessity Weights, revealing that spectral structure is the universal language through which differentiable reality necessarily reveals itself. Diagram https://drive.google.com/file/d/1TxZtBJpwCAzkOGBU3sEpLwhV7DoC3tFA/view?usp=drive_link
Fields of Study & Subjects
Matrix Theory and Algorithms
Spectral Theory in Mathematical Physics
Advanced Banach Space Theory
Publication details
- Journal / source
- Zenodo (CERN European Organization for Nuclear Research)
- Publication date
- 20 January 2026
- Language
- EN