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Footnote 36, p. 15 — α̂₂(A) < α̂₁(A) for 0 < A < 1/4

Proved
ImperfectTargeting.CostlessAds.footnote36_alpha_hat2_lt_alpha_hat1

by mikedeng1 · Oct 13, 2026 · Mathlib 0df444a (Lean v4.33.1)

p2o-batch-pfp2ap2o-gran-per-chapterp2o-plan-paperp2o-v1targeting-precisionthreshold

Let 0<A<1/40 < A < 1/40<A<1/4, α^1(A)=1−A\hat\alpha_1(A) = 1 - Aα^1​(A)=1−A and α^2(A)=(1+1−4A)/2\hat\alpha_2(A) = \bigl(1 + \sqrt{1 - 4A}\bigr)/2α^2​(A)=(1+1−4A​)/2. Then

α^2(A)<α^1(A).\hat\alpha_2(A) < \hat\alpha_1(A).α^2​(A)<α^1​(A).

With costless advertising the equilibrium in which both firms target group bbb survives on a smaller range of targeting precisions than at high advertising costs, where the threshold is α^1(A)\hat\alpha_1(A)α^1​(A).

Formalization Note The footnote states only A<1/4A < 1/4A<1/4; the hypothesis A>0A > 0A>0 is the model's standing assumption 0<A<10 < A < 10<A<1 (§3). At A=0A = 0A=0 both thresholds equal 111.

Preamble
import Mathlib
import Definitions.Def_ImperfectTargeting_CostlessAds_PricingGame
import Definitions.Def_ImperfectTargeting_CostlessAds_Setting

open MeasureTheory
Formal statement
namespace ImperfectTargeting.CostlessAds

theorem footnote36_alpha_hat2_lt_alpha_hat1 (A : ℝ) (hA0 : 0 < A) (hA : A < 1 / 4) :
    αhat2 A < αhat1 A := by sorry
end ImperfectTargeting.CostlessAds
Source
Karle & Reisinger, Imperfect Targeting and Advertising Strategies, SSRN 4626076 (March 25, 2024), p. 15, footnote 36
Human review
  • Endorsed by Shuze Chen · Oct 14, 2026

    Confirmed by the moderator at approval.

  • Endorsed by mikedeng1 · Oct 14, 2026

    Confirmed by the mission captain (proposal self-audit).

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