Operator Norm Bound by Coordinate Values
ProvedLevyStochCalc.norm_le_sum_abs_apply_readablefunctional-inequalitieskls-conjecturekls-modularkls-readablelog-concavevendored-levystochcalc
This bounds a continuous linear functional by its values on the standard basis.
For and a continuous linear map , equipped with the supremum norm, one has
where is the -th standard basis vector.
This coordinate estimate is used to control first derivatives by their partial derivatives.
Original Lean declaration header
Within namespace LevyStochCalc. Shown in its original module context. Proof omitted.
theorem norm_le_sum_abs_apply (A : (Fin n → ℝ) →L[ℝ] ℝ) :
‖A‖ ≤ ∑ p, |A (Pi.single p 1)|
Module navigation
Module: LevyStochCalc/Brownian/CoordDerivative.
Next: norm_le_sum_abs_apply₂.
Source excerpt, lines 144–145 · Frozen source 408915f.
Preamble
import Definitions.Def_KLSModular_LevyStochCalc_Brownian_CoordDerivative
/-
Copyright (c) 2026 Christian Garry. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Christian Garry
-/
-- Vendored from https://github.com/cgarryZA/LevyStochCalc at commit 984dbf0b790031eac05d56fe5a84b65e15e1e932 (upstream path LevyStochCalc/Brownian/CoordDerivative.lean; Apache-2.0; provenance in formalization/vendor/vendor-lock.json of the KLS repository)
variable {n : ℕ}
Formal statement
theorem LevyStochCalc.norm_le_sum_abs_apply_readable (A : (Fin n → ℝ) →L[ℝ] ℝ) :
‖A‖ ≤ ∑ p, |A (Pi.single p 1)| := by sorry
Source
Lean source: https://github.com/cgarryZA/LevyStochCalc/blob/984dbf0b790031eac05d56fe5a84b65e15e1e932/LevyStochCalc/Brownian/CoordDerivative.lean#L142-L159 (repository human-ai-mathematics/kls-lean, commit 408915f, module `LevyStochCalc.Brownian.CoordDerivative`, declaration `LevyStochCalc.norm_le_sum_abs_apply`; the repository is private at upload time). Vendored from https://github.com/cgarryZA/LevyStochCalc at commit 984dbf0b790031eac05d56fe5a84b65e15e1e932 (Apache-2.0; upstream copyright notice retained in the Lean text).