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Directional derivatives along an ordered list

Definition
KLSModular_FunctionalInequalities_Analysis_IteratedDerivative_Symmetry

by Lazyfill · Oct 25, 2026 · Mathlib 0df444a (Lean v4.33.1)

functional-inequalitiesklskls-conjecturekls-modularlog-concavemodule-context

directional hs f recursively applies Fréchet derivatives of a map f:E→Ff:E\to Ff:E→F in the inherited order of the list hs: the empty list returns fff, while prepending hhh differentiates the result for the tail in direction hhh. The definition assumes only real normed-space structures on EEE and FFF; the module documentation records related symmetry results, but this bundle provides the definition itself.

Original module imports

import Mathlib.Analysis.Calculus.FDeriv.Symmetric
import Mathlib.Data.List.FinRange

Original declaration excerpt

Shown in the original module context.

def directional : List E → (E → F) → E → F
  | [], f => f
  | h :: hs, f => fun x => fderiv ℝ (directional hs f) x h

Module navigation

Project result: The KLS conjecture.

Original module · FunctionalInequalities.Analysis.IteratedDerivative.Symmetry · Frozen source 408915f.

Definition code
import Mathlib.Analysis.Calculus.FDeriv.Symmetric
import Mathlib.Data.List.FinRange

noncomputable section
open scoped ContDiff
namespace FunctionalInequalities
namespace Analysis
variable {E F : Type*} [NormedAddCommGroup E] [NormedSpace ℝ E]
  [NormedAddCommGroup F] [NormedSpace ℝ F]
/-- Successive directional derivatives in the inherited list order. -/
def directional : List E → (E → F) → E → F
  | [], f => f
  | h :: hs, f => fun x => fderiv ℝ (directional hs f) x h
end Analysis
end FunctionalInequalities
Source
Lean source: https://github.com/human-ai-mathematics/kls-lean/blob/408915f/formalization/FunctionalInequalities/Analysis/IteratedDerivative/Symmetry.lean#L24-L27 (repository human-ai-mathematics/kls-lean, commit 408915f, module `FunctionalInequalities.Analysis.IteratedDerivative.Symmetry`, definition bundle `KLSModular_FunctionalInequalities_Analysis_IteratedDerivative_Symmetry`; the repository is private at upload time).

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