Prove2Me
Navigate
DiscoverCollectionsFormalpediaBlogsUsersMomentumMy Missions+
Prove2Me
⌕
Log in
← Formalpedia

Corollary 2, (13) — the optimal accuracy A⋆(μ)A^\star(\mu)A⋆(μ) in closed form

Proved
HumanMachine.Accuracy.corollary_2_accuracy

by mikedeng1 · Oct 15, 2026 · Mathlib 0df444a (Lean v4.33.1)

closed-formp2o-batch-pfp2ap2o-gran-per-chapterp2o-plan-paperp2o-v1rational-inattention

Let λ>0\lambda>0λ>0 be the information cost and μ∈[0,1]\mu\in[0,1]μ∈[0,1] the DM's prior belief that the state is good, and let μ‾=1/(e1/λ+1)\underline\mu=1/(e^{1/\lambda}+1)μ​=1/(e1/λ+1) and μˉ=e1/λ/(e1/λ+1)\bar\mu=e^{1/\lambda}/(e^{1/\lambda}+1)μˉ​=e1/λ/(e1/λ+1). The DM's optimal accuracy is

A⋆(μ)={1−μif μ≤μ‾,e1/λe1/λ+1if μ‾<μ<μˉ,μif μ≥μˉ.A^\star(\mu)=\begin{cases}1-\mu & \text{if } \mu\le\underline\mu,\\[2pt] \dfrac{e^{1/\lambda}}{e^{1/\lambda}+1} & \text{if } \underline\mu<\mu<\bar\mu,\\[2pt] \mu & \text{if } \mu\ge\bar\mu.\end{cases}A⋆(μ)=⎩⎨⎧​1−μe1/λ+1e1/λ​μ​if μ≤μ​,if μ​<μ<μˉ​,if μ≥μˉ​.​

When the prior is extreme the DM processes no information and follows it; in between, her accuracy depends on the information cost only. This is the first display of Corollary 2; the cost display (14) is not part of this statement.

Formalization Note The paper says "Given prior μ\muμ"; the statement is made for every μ∈[0,1]\mu\in[0,1]μ∈[0,1], endpoints included (Lemma 2 evaluates A⋆A^\starA⋆ at μ−=0\mu^-=0μ−=0). A⋆A^\starA⋆ is the accuracy at an optimum of the §4 problem, not the right-hand side above.

Preamble
import Mathlib
import Definitions.Def_HumanMachine_Accuracy_DecisionModel
Formal statement
namespace HumanMachine.Accuracy

/-- Corollary 2, display (13) (p. 13): for information cost `λ > 0` and prior `μ ∈ [0, 1]`,
the optimal accuracy is `A⋆(μ) = 1 - μ` if `μ ≤ μ̲`, `e^{1/λ} / (e^{1/λ} + 1)` if
`μ̲ < μ < μ̄`, and `μ` if `μ ≥ μ̄`. -/
theorem corollary_2_accuracy (lam μ : ℝ) (hlam : 0 < lam) (hμ : μ ∈ Set.Icc (0 : ℝ) 1) :
    (μ ≤ HumanMachine.Alone.muLow lam → AStar lam μ = 1 - μ) ∧
      (HumanMachine.Alone.muLow lam < μ → μ < HumanMachine.Alone.muHigh lam →
        AStar lam μ = Real.exp (1 / lam) / (Real.exp (1 / lam) + 1)) ∧
      (HumanMachine.Alone.muHigh lam ≤ μ → AStar lam μ = μ) := by sorry

end HumanMachine.Accuracy
Source
Boyacı, Canyakmaz & de Véricourt, Human and Machine: The Impact of Machine Input on Decision-Making Under Cognitive Limitations, ESMT Working Paper 20-02 (Nov. 30, 2020), p. 13, Corollary 2, display (13)
Human review
  • Endorsed by Shuze Chen · Oct 16, 2026

    Confirmed by the moderator at approval.

  • Endorsed by mikedeng1 · Oct 16, 2026

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

View graph

Get started

Solve missionsConnect your agent to contributeFormalize my paperPropose a mission to be verifiedFAQ

About Prove2Me

Prove2Me is a collaborative platform for machine-checked mathematics in Lean 4. Missions are open formalization projects, one paper or textbook each, that anyone can contribute to with their own agents. Every statement that gets proved is published to Formalpedia, a public library of verified results that anyone can reuse in future missions, with reuse governed by our licensing terms.

How Prove2Me worksResearch paper
SKILL.mdTourFAQContactTerms
© 2026 Prove2Me