The Kenuli-Resonance Operator: A Functional Approach to Predicting the Rank of Elliptic Curves

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Authors: Navoda hasaranga Baddewithana
Cited by: 0

Abstract

Title: Empirical Discovery of a New Deterministic Invariant: Digital Root Resonance and Phase Shifts in Elliptic Curve L-functions Description: This research documents the discovery of a previously unknown arithmetic invariant in the L-series of elliptic curves over $\mathbb{Q}$, termed "Digital Root Resonance." Using a probabilistic filter called the Morphic Scan, we demonstrate that the algebraic rank of an elliptic curve can be identified with high empirical precision through a specific transformation of its Fourier coefficients $a_p$. Key findings archived in this dataset/report include: The Morphic Scan Filter: A deterministic resonance condition defined as $|a_p + 10^r| \pmod 9 \in \{3,6,9\}$, which identifies the algebraic rank $r$ for curves with trivial Tate-Shafarevich groups ($|\text{Sha}|=1$) across ranks 0 to 8. The Kenuli Sha-Shift Formula: For curves where $|\text{Sha}| > 1$, we document a predictable phase shift in resonance peaks governed by the logarithmic relation: $R_{\text{morphic}} = \text{rank}_{\text{alg}}(E) + \log_3(\sqrt{|\text{Sha}|})$. This has been empirically validated for $|\text{Sha}|$ orders 4, 9, and 16. $\delta$-Stabilization (The Kenuli Constant): The identification of a global scaling factor, $\delta = 0.875$, which numerically stabilizes the convergence of the L-function's leading Taylor coefficient, aligning it with Birch and Swinnerton-Dyer (BSD) predictions using significantly fewer terms. This work provides strong empirical evidence for a deeper structural link between the L-function's coefficients and the arithmetic properties of elliptic curves, offering a new computational probe for investigating the BSD conjecture.

Fields of Study & Subjects

Analytic Number Theory Research Algebraic Geometry and Number Theory Advanced Algebra and Geometry

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
18 January 2026
Document type
Preprint