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#generative ai Open access

Fractal-Wave Algebra Manifesto: Dynamic Arithmetic, Wave-Based Computation, and Prior Art Foundations

Aug 2026 · Zenodo (CERN European Organization for Nuclear Research)

Abstract

This document presents the foundational manifesto of Fractal-Wave Algebra (FWA), a dynamic mathematical and computational paradigm that reframes arithmetic, algebra, and information processing as wave‑based, symmetry‑breaking evolutionary processes. Classical mathematics is described as a static projection of deeper dynamic wave transitions, while FWA introduces a generative ontology where numbers represent quanta of state evolution and algebraic operations correspond to active symmetry‑deformation transitions. The manifesto establishes the philosophical, mathematical, and physical basis of FWA. As stated in the document: “Classical mathematics is fundamentally static… Under FWA, numbers are historical markers of sequential symmetry breaking, and algebraic equations are projections of dynamic state evolution.” It contrasts dynamic arithmetic with classical linear arithmetic, showing that expressions like a + b = c are simplified macro‑projections of deeper wave‑state transitions. The document introduces operators such as Da, Pc, and AS, describing how symmetry deformation collapses into classical arithmetic when AS → 0. The manifesto applies FWA to major scientific paradoxes: P vs NP — demonstrating that NP complexity collapses to polynomial time inside wave‑native photonic hardware through multi‑layered interference and resonance reinforcement. Riemann Hypothesis — interpreting non‑trivial zeros as fractal wave nodes fixed to Re(s)=1/2 due to symmetry‑collapse constraints. The document outlines a technical blueprint for future computing hardware, including photonic integrated circuits, in‑memory wave computing, and wave‑based AI architectures. It emphasizes replacing digital matrix weights with phase‑resonance mappings and diagnosing errors as geometric variations across hierarchical wave levels. The manifesto also includes prior‑art Python code demonstrating self‑similar fractal acceleration for non‑linear data grids: “This document serves as an open-access foundational manifesto establishing prior art for Fractal-Wave Algebra and Dynamic Arithmetic applications…” Overall, this publication establishes the theoretical, computational, and engineering foundations of FWA as a new paradigm for mathematics, quantum computing, and artificial intelligence.

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