Proposition 2, p. 6 — an outcome monotonic optimum exists
ProvedStrategicPolicy.MonotoneBinary.proposition_2best-responsedecision-policyoutcome-monotonicityp2o-batch-pfp2ap2o-gran-per-chapterp2o-plan-paperp2o-v1strategic-classification
Let maximize the utility among all policies . If the cost is outcome monotonic, there is an outcome monotonic policy with the same utility:
This narrows the search for an optimum and is the prerequisite used in Theorem 3.
Formalization Note Optimality of is an explicit hypothesis, as in the paper. The finite model assumes distinct outcomes, free staying, and the standing positive cost condition; §4 cost monotonicity uses distinct indices. The policy monotonicity implication is the disclosed reading of (1).
Preamble
import Mathlib import Definitions.Def_StrategicPolicy_MonotoneBinary_Setting
Formal statement
namespace StrategicPolicy.MonotoneBinary
variable {m : ℕ}
theorem proposition_2 [NeZero m]
(p q : Fin m → ℝ) (γ : ℝ) (c : Fin m → Fin m → ℝ)
(hstanding : Standing p q γ c) (hcost : OMCost q c)
(πstar : Fin m → ℝ) (hopt : Optimal p q γ c πstar) :
∃ π ∈ Policies m, OMPolicy q π ∧ u p q γ c π = u p q γ c πstar := by sorry
end StrategicPolicy.MonotoneBinary
Source
Tsirtsis et al., Optimal Decision Making Under Strategic Behavior, arXiv:1905.09239v5, p. 6, Proposition 2; proof p. 18, Appendix A.2
Human review
Confirmed by the mission captain (proposal self-audit).
Confirmed by the moderator at approval.