DAV: Proving P = NP via Spectral Anchors and Frequency Intelligence
Year: 2025
Type: conference-paper
Abstract: DAV reinterprets NP problems as resonance structures using zeta-zero interference, structural primes, DAG path modeling, and AdS/CFT pro- jection. Validated on 3-SAT, Hamiltonian Cycle, Vertex Cover, Clique, Subset Sum, TSP, Graph Coloring, Knapsack, and Set Cover, it identi- fies satisfiable instances with spectral anchors (Φ(x) > τ ) in polynomial time, while unsatisfiable cases yield diminished resonance. Formalized as TM-DAV, DAV resolves all tested NP problems, proving P = NP with near-complete universality. This work was developed with signifi- cant assistance from Grok 3 (xAI) and GPT-4o (OpenAI) in derivation and validation.
Author: Li, Y.Y.N.
Language: English
Subfield: Computational Theory and Mathematics
Field: Computer Science
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W6912172289
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