Linear Algebraic Innovations via the Cauchy–Schwarz–LorentzFramework with a Fibonacci Connection

This paper introduces the \emph{Cauchy–Schwarz–Lorentz (CSL) framework}, a novel approach that generalizes linear algebraic structures by incorporating Lorentz-weighted inner products, operator alignment, modal closure, and curvature adaptation. Through rigorous mathematical constructions, we develop the \emph{Dynamical Basis Synthesis (DBS)} pipeline, systematically tailoring basis vectors to relativistic, quantum, and geometric contexts. Central to our results is the introduction of Lorentz-weighted bases and their intrinsic velocity encoding, operator-aligned decomposition via paired singular-value decomposition, modal-closed frames ensuring time-loop consistency, and Ricci-parallel transport methods adapting bases to curved spacetimes. Furthermore, we establish unexpected but profound connections to Fibonacci sequences and the golden ratio, uncovering intrinsic spectral, modal, and dynamical attractors. These Fibonacci structures yield phenomenological velocities converging explicitly to c/φc/\varphic/φ, resonant spectral gaps, and self-similar eigenstate distributions. The comprehensive DBS framework thus provides powerful new tools for quantum information, gravitational modeling, and high-performance numerical methods, underpinned by deep symbolic-dynamical relationships emerging naturally from linear algebraic foundations.

Publication Details

Journal
Figshare
Published
2025-01-01
DOI
https://doi.org/10.6084/m9.figshare.29275361.v1
Primary Topic
Prenatal Screening and Diagnostics
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article
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Linear Algebraic Innovations via the Cauchy–Schwarz–LorentzFramework with a Fibonacci Connection

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Prenatal Screening and Diagnostics
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Linear Algebraic Innovations via the Cauchy–Schwarz–LorentzFramework with a Fibonacci Connection

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Abstract

This paper introduces the \emph{Cauchy–Schwarz–Lorentz (CSL) framework}, a novel approach that generalizes linear algebraic structures by incorporating Lorentz-weighted inner products, operator alignment, modal closure, and curvature adaptation. Through rigorous mathematical constructions, we develop the \emph{Dynamical Basis Synthesis (DBS)} pipeline, systematically tailoring basis vectors to relativistic, quantum, and geometric contexts. Central to our results is the introduction of Lorentz-weighted bases and their intrinsic velocity encoding, operator-aligned decomposition via paired singular-value decomposition, modal-closed frames ensuring time-loop consistency, and Ricci-parallel transport methods adapting bases to curved spacetimes. Furthermore, we establish unexpected but profound connections to Fibonacci sequences and the golden ratio, uncovering intrinsic spectral, modal, and dynamical attractors. These Fibonacci structures yield phenomenological velocities converging explicitly to c/φc/\varphic/φ, resonant spectral gaps, and self-similar eigenstate distributions. The comprehensive DBS framework thus provides powerful new tools for quantum information, gravitational modeling, and high-performance numerical methods, underpinned by deep symbolic-dynamical relationships emerging naturally from linear algebraic foundations.

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Prenatal Screening and Diagnostics
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Linear Algebraic Innovations via the Cauchy–Schwarz–LorentzFramework with a Fibonacci Connection · Figshare (2025) | TGRS Research Map | TGRS