The least uniform complex coordinate Hlawka constant for p ≥ 21
ProvedHlawkaSchatten.DiagonalConstruction.campaign_cutoff21For every real exponent p ≥ 21, let N_p(x) be the foundation's finite coordinate p-norm and let K_p be its unchanged cyclicConstant p, defined as the supremum of the cyclic ratio over t ∈ [1/2, 2].
Then K_p is the least real constant C such that the triple deficit N_p(x) + N_p(y) + N_p(z) − N_p(x + y + z) is at most C times the pair-deficit sum 2(N_p(x) + N_p(y) + N_p(z)) − N_p(x + y) − N_p(x + z) − N_p(y + z), for every natural-number dimension n and all complex vectors x, y, z in that dimension.
This combines admissibility and optimality uniformly over all finite complex coordinate dimensions. It includes dimension zero and arbitrary triples with unequal or zero norms. The same shared definitions are used throughout; the claim concerns complex diagonal matrices via their coordinate norms.
import Definitions.Def_HlawkaSchatten_DiagonalConstruction_Basic import Definitions.Def_HlawkaSchatten_DiagonalConstruction_Cyclic import Definitions.Def_HlawkaSchatten_GapComparison import Mathlib.Analysis.Complex.Circle import Mathlib.Analysis.Complex.ExponentialBounds import Mathlib.Analysis.Convex.Deriv import Mathlib.Analysis.Convex.Function import Mathlib.Analysis.Convex.Integral import Mathlib.Analysis.Convex.Jensen import Mathlib.Analysis.Convex.SpecificFunctions.Basic import Mathlib.Analysis.Convex.SpecificFunctions.Pow import Mathlib.Analysis.InnerProductSpace.Basic import Mathlib.Analysis.InnerProductSpace.Dual import Mathlib.Analysis.InnerProductSpace.NormPow import Mathlib.Analysis.Normed.Lp.PiLp import Mathlib.Analysis.Normed.Module.FiniteDimension import Mathlib.Analysis.SpecialFunctions.Pow.Continuity import Mathlib.Data.Fin.VecNotation import Mathlib.Data.Real.Basic import Mathlib.Data.Sign.Basic import Mathlib.LinearAlgebra.Dimension.Finite import Mathlib.MeasureTheory.Group.Integral import Mathlib.MeasureTheory.Integral.Bochner.ContinuousLinearMap import Mathlib.MeasureTheory.Measure.Haar.Basic import Mathlib.Tactic.Abel import Mathlib.Tactic.FieldSimp import Mathlib.Tactic.Linarith import Mathlib.Tactic.LinearCombination import Mathlib.Tactic.Module import Mathlib.Tactic.Positivity import Mathlib.Tactic.Ring import Mathlib.Topology.Instances.Sign import Mathlib.Topology.Order.Compact /-! # The least dimension-independent complex coordinate Hlawka constant This packages admissibility and the three-coordinate cyclic obstruction into one statement, with an explicit lower cutoff on the real exponent. -/ open HlawkaSchatten open HlawkaSchatten.DiagonalConstruction
theorem HlawkaSchatten.DiagonalConstruction.campaign_cutoff21 :
∀ p : ℝ, 21 ≤ p →
IsLeast {C : ℝ | ∀ n : ℕ,
HasHlawkaConstant (lpNorm p : (Fin n → ℂ) → ℝ) C}
(cyclicConstant p) := by sorryRead-back
What the Lean code literally says, in plain math · GPT-6 (Codex independent sub-agent)
For every real number , let for each natural number and each vector , where is the complex modulus, and define , , and . Then is the least real number such that, for every natural number and all , . Explicitly, this inequality holds with simultaneously for every such dimension and triple, and for every real for which it holds simultaneously for every dimension and triple; the competing constants have no separately imposed sign restriction. The quantifiers include zero vectors and : in dimension zero the coordinate sum is empty, , and the required inequality is for every real .
Confirmed by the mission captain (proposal self-audit).
Confirmed by the moderator at approval.