The least uniform complex coordinate Hlawka constant for p ≥ 2
OpenHlawkaSchatten.DiagonalConstruction.campaign_cutoff2For every real exponent p ≥ 2, 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.
At p = 2 the constant K_p equals 1 exactly, attained at t = 2.
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_cutoff2 :
∀ p : ℝ, 2 ≤ 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 · claude-opus-5-5
For every real number (with included, and not required to be an integer), every natural number and all complex diagonal matrices , the following non-strict inequality holds:
denotes the Schatten -norm of a diagonal matrix , equal to the norm of its diagonal entries. For complex entries means the -th power of the modulus. Since , these are finite. is the supremum of over , with
Nothing is claimed for .
The constant at . exactly, attained at : at the right endpoint and . This is the minimum value ever takes, and it means the Hlawka inequality at needs no amplification — the left-hand side never exceeds the sum of pairwise defects.
Confirmed by the mission captain (proposal self-audit).
Confirmed by the moderator at approval.