TEBAC Navier--Stokes Program I: Spectral Stokes Foundation and Critical Cascade Ledger
Abstract
This preprint is the first entry module of a TEBAC-based modular program toward the three-dimensional incompressible Navier--Stokes existence and smoothness problem. The manuscript works on the periodic domain \(\mathbb T^3\) and develops a rigorous foundational layer for the program: the Leray projection, the divergence-free Hilbert space, the Stokes operator \(A=-\mathbb P\Delta\), the Galerkin approximation scheme, the classical \(L^2\)-energy identity, the vorticity/vortex-stretching ledger, dyadic spectral packets, triadic Fourier interactions, and the first TEBAC cascade-defect formalism. The main purpose of the paper is not to claim a complete solution of the Navier--Stokes Millennium problem. Instead, it closes the first foundational/export module and isolates the decisive large-data obstruction: the critical high-frequency cascade mechanism. The manuscript proves a small-critical Galerkin closure theorem and records the exact large-data residue appearing in the direct \(H^{1/2}\)-critical energy method. In the Stokes scale, the first critical estimate targeted by the program is \[\sup_{0\leq t\leq T}\|A^{1/4}u_N(t)\|_{L^2}^{2}+\nu\int_0^T\|A^{3/4}u_N(t)\|_{L^2}^{2}\,dt\leq C(T,\nu,u_0),\] uniformly in the Galerkin cutoff \(N\). The present module proves this estimate in the small-critical regime and identifies the remaining arbitrary-data cascade absorption problem as the central target for the later modules NS-II--NS-V. The paper is therefore intended as a theorem-bearing foundational roadmap, with explicit claim-safety statements, non-circularity rules, acceptance tests, and a dependency ledger for the full TEBAC--Navier--Stokes program.
Fields of Study & Subjects
Advanced Numerical Methods in Computational Mathematics
Navier-Stokes equation solutions
Model Reduction and Neural Networks
Publication details
- Journal / source
- Zenodo (CERN European Organization for Nuclear Research)
- Publication date
- 5 May 2026
- Language
- EN
- Document type
- Preprint