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A Unified Spectral Framework for Aging, Heterogeneous, and Distributed Order Systems via Weighted Weyl-Sonine Operators

Gustavo Dorrego

TL;DR

The paper develops a unified spectral framework to model aging, heterogeneity, and multi-scale memory by introducing Weighted Weyl-Sonine Operators on the real line. It proves a Generalized Spectral Mapping Theorem showing that the Weighted Fourier Transform diagonalizes these operators, enabling direct algebraic solutions of nonlocal evolution equations via a spectral symbol $\Phi(s)$, with kernels in the Complete Bernstein Function class. The framework yields a generalized Marchaud representation and a robust connection between algebraic Sonine definitions and analytical Lévy-measure formulations, and it applies to generalized relaxation and weighted distributed-order diffusion, including ultra-slow/logarithmic diffusion and retarded aging. This approach provides explicit Green’s functions and spectral solvability results, offering a powerful tool for analyzing aging, heterogeneous media, and multi-scale memory in applications across physics and materials science.

Abstract

Standard fractional calculus has successfully modeled systems with power-law memory. However, complex phenomena in heterogeneous media often exhibit multi-scale memory effects and aging properties that classical operators cannot capture. In this work, we construct a unified framework by defining the \textit{Weighted Weyl-Sonine Operators}. This formalism offers a fundamental generalization of fractional calculus, freeing the theory from the constraints of power-law memory (via Sonine kernels), time-translation invariance (via scale and weight functions), and artificial history truncation (via Weyl integration). The main result is a Generalized Spectral Mapping Theorem, proving that the Weighted Fourier Transform acts as a universal diagonalization map for these operators. We rigorously characterize the admissible memory kernels through the class of \textit{Complete Bernstein Functions}, ensuring that the resulting operators preserve the fundamental properties of positivity and monotonicity. Furthermore, we establish a theoretical bridge between the algebraic Sonine definition and the analytical Marchaud representation involving Lévy measures. Finally, we apply this theory to solve generalized relaxation equations and \textit{Weighted Distributed Order} evolution problems, demonstrating that phenomena of ultra-slow diffusion and retarded aging can be treated explicitly within this unified spectral framework.

A Unified Spectral Framework for Aging, Heterogeneous, and Distributed Order Systems via Weighted Weyl-Sonine Operators

TL;DR

The paper develops a unified spectral framework to model aging, heterogeneity, and multi-scale memory by introducing Weighted Weyl-Sonine Operators on the real line. It proves a Generalized Spectral Mapping Theorem showing that the Weighted Fourier Transform diagonalizes these operators, enabling direct algebraic solutions of nonlocal evolution equations via a spectral symbol , with kernels in the Complete Bernstein Function class. The framework yields a generalized Marchaud representation and a robust connection between algebraic Sonine definitions and analytical Lévy-measure formulations, and it applies to generalized relaxation and weighted distributed-order diffusion, including ultra-slow/logarithmic diffusion and retarded aging. This approach provides explicit Green’s functions and spectral solvability results, offering a powerful tool for analyzing aging, heterogeneous media, and multi-scale memory in applications across physics and materials science.

Abstract

Standard fractional calculus has successfully modeled systems with power-law memory. However, complex phenomena in heterogeneous media often exhibit multi-scale memory effects and aging properties that classical operators cannot capture. In this work, we construct a unified framework by defining the \textit{Weighted Weyl-Sonine Operators}. This formalism offers a fundamental generalization of fractional calculus, freeing the theory from the constraints of power-law memory (via Sonine kernels), time-translation invariance (via scale and weight functions), and artificial history truncation (via Weyl integration). The main result is a Generalized Spectral Mapping Theorem, proving that the Weighted Fourier Transform acts as a universal diagonalization map for these operators. We rigorously characterize the admissible memory kernels through the class of \textit{Complete Bernstein Functions}, ensuring that the resulting operators preserve the fundamental properties of positivity and monotonicity. Furthermore, we establish a theoretical bridge between the algebraic Sonine definition and the analytical Marchaud representation involving Lévy measures. Finally, we apply this theory to solve generalized relaxation equations and \textit{Weighted Distributed Order} evolution problems, demonstrating that phenomena of ultra-slow diffusion and retarded aging can be treated explicitly within this unified spectral framework.
Paper Structure (18 sections, 7 theorems, 57 equations, 1 table)

This paper contains 18 sections, 7 theorems, 57 equations, 1 table.

Key Result

Theorem 2.8

Let $f$ be a function such that both $f$ and $\mathcal{F}_{\psi,\omega}f$ are integrable in the appropriate weighted sense. Then, the inverse transform is given pointwise by:

Theorems & Definitions (42)

  • Definition 2.1: Space $C_{-1}$
  • Definition 2.2: The Sonine Condition
  • Definition 2.3: General Fractional Operators
  • Definition 2.4: Generalized Sonine Pairs of Arbitrary Order
  • Remark 2.5
  • Remark 2.6: Transition to Weighted Weyl Operators
  • Definition 2.7
  • Theorem 2.8: Inversion Formula
  • proof
  • Remark 2.9
  • ...and 32 more