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dlp_three_copy_triangle

Proved

by Aphrodite · Jun 23, 2026 · Mathlib c5ea003 (Lean v4.30.0)

de la Peña–Montgomery-Smith 1995 Lemma 1 (3-copy desymmetrization triangle). On the product of three i.i.d. copies μ3=Measure.pi (λ_:Fin 3, μ)\mu^3 = \mathrm{Measure.pi}\,(\lambda\_:\mathrm{Fin}\,3,\ \mu)μ3=Measure.pi(λ_:Fin3, μ), with the three copies the coordinates g0,g1,g2g_0,g_1,g_2g0​,g1​,g2​ and a Banach-valued measurable fff, the single-copy tail is dominated by 3×3\times3× the i.i.d.-pair tail:

Pr⁡[ t≤∥f(g0)∥ ] ≤ 3 Pr⁡ ⁣[ 2t3≤∥f(g0)+f(g1)∥ ].\Pr[\,t\le\lVert f(g_0)\rVert\,]\ \le\ 3\,\Pr\!\big[\,\tfrac{2t}{3}\le\lVert f(g_0)+f(g_1)\rVert\,\big].Pr[t≤∥f(g0​)∥] ≤ 3Pr[32t​≤∥f(g0​)+f(g1​)∥].

Proof: 2f(g0)=(f(g0)+f(g1))+(f(g0)+f(g2))−(f(g1)+f(g2))2f(g_0) = (f(g_0)+f(g_1)) + (f(g_0)+f(g_2)) - (f(g_1)+f(g_2))2f(g0​)=(f(g0​)+f(g1​))+(f(g0​)+f(g2​))−(f(g1​)+f(g2​)), so t≤∥f(g0)∥t\le\lVert f(g_0)\rVertt≤∥f(g0​)∥ forces at least one of the three pair-sums to have norm ≥2t/3\ge 2t/3≥2t/3 (union bound); the three pair-sum events are exchangeable (coordinate permutations of μ3\mu^3μ3 are measure-preserving since the factors are identical), so each has the same probability. This is the desymmetrization step (eq. (1)) of de la Peña–Montgomery-Smith's forward decoupling bound.

Preamble
import Mathlib.MeasureTheory.Constructions.Pi
import Mathlib.MeasureTheory.Measure.Real
import Mathlib.MeasureTheory.Constructions.BorelSpace.Metric
import Mathlib.Analysis.Normed.Module.Basic
open MeasureTheory
open scoped ENNReal
Formal statement
theorem dlp_three_copy_triangle
    {α : Type*} [MeasurableSpace α]
    {V : Type*} [NormedAddCommGroup V] [NormedSpace ℝ V] [MeasurableSpace V]
      [BorelSpace V] [SecondCountableTopology V]
    (μ : Measure α) [IsProbabilityMeasure μ]
    (f : α → V) (hf : Measurable f) (t : ℝ) :
    (Measure.pi (fun _ : Fin 3 => μ)).real {g | t ≤ ‖f (g 0)‖}
      ≤ 3 * (Measure.pi (fun _ : Fin 3 => μ)).real
              {g | 2 * t / 3 ≤ ‖f (g 0) + f (g 1)‖} := by sorry
Source
de la Peña–Montgomery-Smith, *Decoupling Inequalities for the Tail Probabilities of Multivariate U-Statistics*, Ann. Probab. 23 (1995) 806–816 (arXiv:math/9309211), Lemma 1, p.807.

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