SOURCE-LINKED INTELLIGENCE
Computer-assisted global regularity across nonlinear families of three-dimensional periodic Navier-Stokes flows
Numerical simulations reveal how vortices stretch and transfer energy, but establishing smooth evolution requires bounds that remain valid beyond the simulated resolution. Here I develop a computer-assisted framework that establishes global regularity for continuous families of three-dimensional periodic Navier-Stokes flows. Its central construction combines finite reference trajectories with a common error bound that covers an interval of centre fields and infinitely many smooth perturbation modes. The method retains the complete nonlinear residual before spectral truncation and controls the
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Evidence & attribution
- arXiv · AI, language, vision and robotics · 2026-09-14T18:02:50.000Z
First collected: 2026-09-20T09:41:04.278Z. This is not the publication date.