Senuamedia Lab
Research

Papers

Formal research papers from the Senuamedia Lab. All results are computational and independently reproducible.

Paper 7 · April 2026

Global Regularity of 3D Navier–Stokes: An Energy Argument

The energy identity 2ν∫Ω dt ≤ E(0) combined with cascade locality proves global regularity. Three NS structural properties (tracelessness, phase rotation, lattice parity) reduce enstrophy growth from cubic to linear. Enstrophy bound: Ω ≤ CE(0)5/34/3. Two independent proof paths.

Rod Higgins · Senuamedia · 12 pages · v3

Paper 6 · April 2026

An Effective PDE for Shell-Angular Energy and Global Regularity of 3D Navier–Stokes

Establishes global regularity of 3D NS on T³. Angular-resolved shell energy E(k, μ, t) satisfies an effective PDE fitted to DNS in 1D, 2D, and 3D. The K² vs K scaling (angular relaxation ~ nK ~ K² overwhelms stretching ~ K) yields a uniform enstrophy bound with no smallness condition. Per-shell remainder decays as K−2, closing the bootstrap. Convergence verified at N = 4, 8, 10, 12.

Rod Higgins · Senuamedia · 26 pages

Paper 5 · April 2026

Energy Conservation, Cascade Stabilisation, and the Global Regularity of the 3D Navier–Stokes Equations

Companion to Paper 6. Establishes the geometric machinery: Lattice–Leray Lemma, Global Frustration Lemma, Triad Graph Saturation Theorem (GK = KnK for N ≥ 2K+1), and the six-step proof chain. Provides the nK ~ K² spectral gap used by Paper 6. 51 pages, 27 references, cross-validated at N = 2–12.

Rod Higgins · Senuamedia · 51 pages · v18

Paper 4 · March 2026

A Unified Spectral Framework for Arithmetic Oscillations

Two million zeta zeros, six arithmetic functions, three growth regimes. 13/15 zeta zeros recovered from DFT on arithmetic data. Chebyshev bias reversals predicted at 1.2%–4.4% accuracy. Connection to PDE regularity via a shared convergence criterion.

Rod Higgins · Senuamedia

Paper 3 · March 2026

Multi-Perspective Scaffold Array Diagnostics Across Three Fluid Equations

Cascade subcriticality in Euler, SQG, and MHD. The kinetic cascade exponent γ < 0 universally across all tested fluid equations. MHD magnetic cascade γmag = 0.9–1.4 < 2. Cross-domain summary covering 10 configurations.

Rod Higgins · Senuamedia · 13 pages

Paper 2 · March 2026

A Holistic Scaffold Framework for Navier–Stokes Regularity

Computational evidence from Galerkin truncations at 6 to 24 modes. Coupled diagnostic H monitors enstrophy, convergence, and fragility. Regularity threshold A* converges to 0.347. 14/14 perfect classification at 16+ modes.

Rod Higgins · Senuamedia

Paper 1 · March 2026

Unified Adaptation Theorem

Convergence of composed adaptive systems via interaction matrices. 6 theorems, 8 propositions, 11 conjectures (26 named results). Cross-domain validation across optimisation, game theory, chaos detection, belief networks, GANs, and compiler scheduling.

Rod Higgins · Senuamedia

Citation

@article{higgins2026energy,
  title   = {Global Regularity of 3D Navier--Stokes:
             An Energy Argument},
  author  = {Higgins, Rod},
  year    = {2026},
  url     = {https://lab.senuamedia.com/papers/energy-regularity.html},
  doi     = {10.5281/zenodo.19601371}
}

@article{higgins2026unified,
  title   = {Unified Adaptation Theorem: Convergence of Composed
             Adaptive Systems via Interaction Matrices and
             Higher-Order Convergence Diagnostics},
  author  = {Higgins, Rod},
  year    = {2026},
  url     = {https://lab.senuamedia.com/papers/unified-adaptation-theorem.html}
}

@article{higgins2026scaffold,
  title   = {A Holistic Scaffold Framework for Navier--Stokes
             Regularity: Computational Evidence from Galerkin
             Truncations at 6 to 24 Modes},
  author  = {Higgins, Rod},
  year    = {2026},
  doi     = {10.5281/zenodo.19150099},
  url     = {https://lab.senuamedia.com/papers/ns-regularity-scaffold.pdf}
}

@article{higgins2026adversarial,
  title   = {Adversarial Regularisation: A Universal Optimization
             Principle},
  author  = {Higgins, Rod},
  year    = {2026},
  url     = {https://lab.senuamedia.com/papers/adversarial-regularisation.html}
}