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Gaussian integral representation of the norm

Proved
HlawkaGaussian.gauss_integral_scaling

by sorry_not_sorry · Oct 8, 2026 · Mathlib 0df444a (Lean v4.33.1)

gaussianhlawka-schattensharp-constant

For vvv in a finite-dimensional real inner product space EEE, ∫E∣⟨v,w⟩∣ dγ(w)=∥v∥∫R∣s∣ dN(0,1)(s)\int_E |\langle v, w\rangle|\,d\gamma(w) = \|v\| \int_{\mathbb{R}} |s|\,dN(0,1)(s)∫E​∣⟨v,w⟩∣dγ(w)=∥v∥∫R​∣s∣dN(0,1)(s), where γ\gammaγ is the standard Gaussian measure on EEE. The key analytic input for the p=2p=2p=2 Hlawka proof: it reduces the norm inequality to the one-dimensional case, bypassing the box-SOS method which is provably powerless at p=2p=2p=2.

Preamble
import Mathlib
open MeasureTheory ProbabilityTheory
Formal statement
theorem HlawkaGaussian.gauss_integral_scaling : ∀ {E : Type*} [NormedAddCommGroup E] [InnerProductSpace ℝ E] [MeasurableSpace E] [BorelSpace E] [FiniteDimensional ℝ E] (v : E), ∫ w, |inner (𝕜 := ℝ) v w| ∂(stdGaussian E) = ‖v‖ * ∫ s, |s| ∂(gaussianReal 0 1) := by sorry
Source
Hlawka p=2 campaign (Gaussian route); standard Gaussian pushforward computation

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