Cartan–φ–π Stable Prime Analysis and Lie Algebra Classification

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Authors: Charles Tibedo
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Abstract

We present a computational framework for the systematic analysis of stable primes within the Cartan–φ–π spectral algebra. For each prime ppp, the suite computes a stability invariant Σp\Sigma_pΣp derived from φ-projection and π-lattice dualities, the Cartan digit sequence Sp\mathcal{S}_pSp, and associated topological invariants, including the Stiefel–Whitney class w2w_2w2 and the integer MpM_pMp relevant to tensorial embeddings. The framework further provides an automated classification of the associated Lie algebra, distinguishing classical, affine, exceptional, covering, and vacuum-limit types. Exceptional Lie algebras are emphasized to highlight loci of algebraic and spectral significance. φ/πⁿ harmonic quantization errors (εϕ,επ\varepsilon_\phi, \varepsilon_\piεϕ,επ) are computed to capture discrete resonance behavior, and the global minimum of Σp\Sigma_pΣp is identified as a canonical indicator of spectral stability. This tool is intended as a rigorous computational supplement for researchers exploring the intersection of number-theoretic stability, Lie algebraic structures, and topological invariants, providing a reproducible and mathematically precise environment for experimental investigation, conjecture testing, and spectral classification. Global Implications of Cartan–φ–π Stable Prime Analysis 1. Mathematical Implications Refined Number-Theoretic Stability:The systematic identification of stable primes via the Σ_p invariant introduces a novel number-theoretic lens, complementing classical primes and their distribution. By focusing on φ–π dual projections, it provides a quantitative measure of “spectral stability” across the integer lattice, potentially informing new approaches to longstanding conjectures in analytic number theory, including analogues of Goldbach-type decompositions and generalized Riemann–Hilbert stability conditions. Lie Algebraic Classification Beyond Classical Boundaries:The computational framework highlights exceptional Lie algebras as natural attractors of stability minima. This establishes a rigorous bridge between discrete prime structures and the continuous symmetry classifications of algebra, suggesting a deeper, previously underexplored correspondence between number-theoretic invariants and Lie-theoretic structure. It opens pathways for constructive exploration of infinite-dimensional or affine extensions guided by prime-driven spectral invariants. Topological and Tensorial Insights:By coupling Σ_p with Cartan digit sequences, Stiefel–Whitney classes, and derived M_p tensors, the framework situates prime stability in a topologically informed context. This formalism permits exploration of tensorial embeddings and higher cohomological obstructions, providing a computational laboratory for testing conjectures in motivic cohomology, spectral sequences, and generalized cohomology theories. 2. Physical Implications Symmetry-Guided Spectral Engineering:In theoretical physics, the alignment of stable primes with exceptional Lie structures can inform symmetry-based model selection in high-energy physics, particularly in Grand Unified Theories (GUTs) and string compactifications where E₆, E₇, E₈ algebras play a central role. The identification of spectral minima provides a discrete guidepost for selecting physically meaningful vacua or perturbative expansions. Quantum and Topological Systems:The φ/π harmonic quantization suggests discrete resonance phenomena, with implications for quantum lattice systems, quasi-periodic potentials, and topological insulators. The framework can be used to computationally explore energy level spacing, eigenmode stability, and topologically protected states in systems where algebraic symmetry and prime-lattice interactions are significant. Spectral Collapse and Exceptional Dynamics:Exceptional Lie algebras appearing at global Σ_p minima hint at “structural collapse points” in the spectral landscape. In condensed matter or field-theoretic models, these may correspond to critical points with enhanced symmetry or emergent collective behavior, offering a computationally grounded map of high-symmetry states. 3. Engineering and Applied Implications Signal and Harmonic Analysis:The harmonic quantization (φ/πⁿ) and dual-lock invariants can inspire signal decomposition algorithms and robust frequency selection criteria in communications engineering, particularly where quasi-periodic or incommensurate signals require stability metrics for design and error minimization. Computational Design of Symmetry-Based Systems:Engineering fields leveraging symmetry, such as robotic motion planning, structural optimization, and materials design, may use stable-prime guided Lie classification to compute invariant subspaces and design configurations with optimal stability-to-complexity ratios. Cryptography and Secure Systems:Stable primes distinguished by dual φ/π projections may provide novel cryptographic primitives, extending beyond classical prime-based schemes by embedding topological or spectral invariants into key-generation protocols, potentially increasing resilience against quantum attacks. Summary Perspective The Cartan–φ–π computational framework unites number theory, Lie theory, topology, and spectral analysis into a single, reproducible computational platform. Globally, it establishes a new paradigm: the study of primes not only as isolated integers but as structural invariants within a high-dimensional spectral and algebraic landscape. Across mathematics, physics, and engineering, this suggests a shift from purely analytical conjectures to computationally informed exploration, where stability, symmetry, and topology are co-analyzed, potentially guiding both theoretical discoveries and practical applications in quantum systems, material design, and computational algebra.

Fields of Study & Subjects

Advanced Mathematical Theories and Applications Analytic Number Theory Research Advanced Algebra and Geometry

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
17 February 2026
Language
EN
Document type
Dataset