Rigorous Foundations of the Spectral RG Functional: Kernel Uniqueness, Boundary Invariance, and Variational Structure
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Abstract
This paper provides a mathematically rigorous foundation for the spectral renormalization group (RG) framework. It proves uniqueness of the admissible gap kernel, establishes strict boundary invariance, derives the local Fisher--Rao metric structure, proves Γ-convergence of regularized spectral functionals, and verifies full consistency of the projected gradient and Hessian on the eigenvalue simplex. The framework is internally closed and requires no external parameters.
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Topics
Keywords
- Hessian matrix
- Metric (unit)
- Boundary (topology)
- Kernel (algebra)
- Eigenvalues and eigenvectors
- Consistency (knowledge bases)
- Uniqueness
- Boundary value problem
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