The Hlawka inequality for Schatten -norms is a cousin of the triangle inequality: it relates the norms of three matrices to the norms of their pairwise sums and their total sum. The question is how large a comparison constant is needed to make this inequality hold.
This mission extends the best possible constant for complex diagonal matrices from to every real . The result is proved in Lean. The constant and its formula are unchanged from the foundation mission: the largest comparison constant required by the cyclic family of three diagonal matrices. For each exponent, it works for every triple of diagonal matrices, whatever their size, and no smaller constant does.
The mission started from a supplied pen-and-paper proof. Lowering the cutoff took more than replacing 256 with 90: several estimates in the original argument had to be strengthened. The research note proves the bound for real entries first, then transfers it to complex entries and shows that the constant cannot be improved. The goal theorem below gives the exact formula and statement.
This is the second step of the sharp diagonal Hlawka campaign, and it reuses the foundation's definitions and supporting results. The campaign invites further improvements below 90, keeping the same formula.
The broader question of optimal constants for Schatten norms appears in Audenaert and Kittaneh’s Problem 7. Extending the sharp diagonal constant to general matrices is a separate challenge.
79aa498bfcf7b22bd91d771fb32ec278e2d4704b. Source librarytheorem HlawkaSchatten.DiagonalCutoff.cutoff90 :
∀ p : ℝ, 90 ≤ p →
IsLeast {C : ℝ | ∀ n : ℕ,
HasHlawkaConstant (lpNorm p : (Fin n → ℂ) → ℝ) C}
(cyclicConstant p) := by sorry
For a real exponent and a vector , the coordinate norm is
For any three vectors in the same space, their triple deficit is
and their pair-deficit sum is
A real constant is uniformly admissible when for every triple and every finite dimension.
For , define
This cyclic constant is exactly the foundation's cyclicConstant.
It comes from the three vectors .
The fixed compact interval and the absolute value in are part of
the definition and remain unchanged in this task.
Cyclic definitions
For every real , the theorem asks for
This includes admissibility and uniform optimality, with all unequal-norm and zero triples allowed. Dimension zero is included. The supplied analytic proof has this scope; the goal is now proved in Lean.
No open leaves. Every sub-goal is proved or awaiting decomposition.