Published October 27, 2026 | Version 1.0.0

3D Incompressible Navier-Stokes III: Parametric Leibniz Differentiation of 3D Torus Box Integrals, Derived Box Enstrophy Balance, and Conditional Gronwall and Riccati Comparison Bounds

Authors/Creators

  • 1. solidSF

Description

We formalize parametric Leibniz differentiation under the 3D torus box integral on [0, 2π]3 and derive the 3D box enstrophy balance, exact 3D flow benchmarks, and conditional Grönwall and Riccati comparison bounds for the 3D incompressible Navier–Stokes equations, building on Paper I (JesseMath.Unified.NavierStokesContinuumGronwall, DOI: 10.5281/zenodo.23696796) and Paper II (JesseMath.Unified.NavierStokesEnstrophyDepletion, DOI: 10.5281/zenodo.23716627). First, using Mathlib’s intervalIntegral.hasDerivAt_integral_of_dominated_loc_of_deriv_le, we prove 1D, 2D, and 3D iterated parametric Leibniz differentiation on [0, 2π]3 and derive the 3D box enstrophy derivative dΩbox/dt = Sbox − 2νPbox (with Pbox ≥ 0) from the pointwise vorticity PDE and two explicit integration-by-parts hypotheses (hadv_zero, hvisc_ibp), replacing Paper II’s assumed scalar derivative hypothesis (H1). Second, we prove unconditional 3D [0, 2π]3 box enstrophy, palinstrophy, and Laplacian work identities for the 3D viscous Arnold–Beltrami–Childress (ABC) flow and the 3D Taylor–Green vortex. Third, invoking the Leibniz-derived box enstrophy balance, we derive conditional Constantin–Fefferman, Ladyzhenskaya, Beale–Kato–Majda, and Prodi–Serrin (8, 4) Grönwall closures together with a conditional cubic Riccati comparison bound over [0, Tricc).

All 13 theorems and 13 definitions in JesseMath/Unified/NavierStokesLeibnizEnstrophyBalance.lean compile in Lean 4 (leanprover/lean4:v4.34.1, Mathlib d13f23b723b8) with zero sorry declarations and only Lean’s standard axioms (#assert_zfc_axioms), paired with a 40-assertion deterministic Python verification oracle including symbolic dimensional analysis.

Notes

solidSF Research Team using Jesse v2.1.0, Google Gemini Argon, Claude Opus 5.5, & OpenAI GPT-6 Astra.

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