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Proof of Theorem 2, step (i.a), pp. ec11–ec13 — for b2 = 1, some optimal solution of (LP̄2) targets every component with probability ≤ 1/m*

Proved
NetInspect.Rate.theorem_2_step_ia

by mikedeng1 · Oct 21, 2026 · Mathlib 0df444a (Lean v4.33.1)

linear-programmingmixed-strategyp2o-batch-pfp2ap2o-gran-per-chapterp2o-plan-paperp2o-v1security-game

Let G\mathcal GG be a detection model, b1<n∗b_1<n^*b1​<n∗, and suppose 1<m∗1<m^*1<m∗ (the standing assumption b2<m∗b_2<m^*b2​<m∗ for b2=1b_2=1b2​=1). Then there is an optimal solution σ2∗∈Δ(Aˉ2)\sigma^{2*}\in\Delta(\bar{\mathcal A}_2)σ2∗∈Δ(Aˉ2​) of

(LP‾2)max⁡σ2∈Δ(Aˉ2) min⁡S∈Aˉ1U(S,σ2),Aˉ2={T:∣T∣=1},(\overline{\mathrm{LP}}_2)\qquad\max_{\sigma^2\in\Delta(\bar{\mathcal A}_2)}\ \min_{S\in\bar{\mathcal A}_1}U(S,\sigma^2),\qquad \bar{\mathcal A}_2=\{T:|T|=1\},(LP2​)σ2∈Δ(Aˉ2​)max​ S∈Aˉ1​min​U(S,σ2),Aˉ2​={T:∣T∣=1},

such that

ρσ2∗(e)≤1m∗for all e∈E.\rho_{\sigma^{2*}}(e)\le\frac{1}{m^*}\qquad\text{for all } e\in\mathcal E.ρσ2∗​(e)≤m∗1​for all e∈E.

With a single attack resource, the attacker has an optimal strategy that spreads its attack: no component is targeted with probability above 1/m∗1/m^*1/m∗. Through Lemma EC.4 this strategy scales to every b2<m∗b_2<m^*b2​<m∗, which is how the proof of Theorem 2 relates Γ(b1,b2)\Gamma(b_1,b_2)Γ(b1​,b2​) to Γ(b1,1)\Gamma(b_1,1)Γ(b1​,1).

Formalization Note The claim is stated for every b1<n∗b_1<n^*b1​<n∗, as printed. The paper's argument picks a node of an optimal positioning and divides by b1−1b_1-1b1​−1, so it covers b1≥2b_1\ge 2b1​≥2 only; the statement itself is not changed.

Preamble
import Mathlib
import Definitions.Def_BlottoLP_Flow_ZeroSum
import Definitions.Def_NetInspect_Rate_Model
Formal statement
namespace NetInspect.Rate

open Finset DetectionModel

/-- Proof of Theorem 2, step (i.a) (pp. ec11–ec13): for `b1 < n*` and `b2 = 1 < m*`, some
optimal solution `σ2*` of (LP̄2) attacks every component with probability at most `1/m*`. -/
theorem theorem_2_step_ia {V E : Type*} [Fintype V] [DecidableEq V] [Fintype E] [DecidableEq E]
    (G : DetectionModel V E)
    {b1 : ℕ} (hb1 : b1 < G.nStar) (hm : 1 < G.mStar) :
    ∃ σ2 : ActEx E 1 → ℝ, G.IsOptLP2bar b1 1 σ2 ∧
      ∀ e : E, marg σ2 e ≤ 1 / (G.mStar : ℝ) := by sorry

end NetInspect.Rate
Source
Dahan, Sela & Amin, Network Inspection for Detecting Strategic Attacks, arXiv:1705.00349v4, pp. ec11–ec13, proof of Theorem 2, step (i.a)
Human review
  • Endorsed by Shuze Chen · Oct 21, 2026

    Confirmed by the moderator at approval.

  • Endorsed by mikedeng1 · Oct 21, 2026

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

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