(10): closed form of
ProvedEngagementOpt.Survey.eq_10conditional-expectationengagement-optimizationp2o-batch-pfp2ap2o-gran-per-chapterp2o-plan-paperp2o-v1
Let , , , , and let be an integer. With as in (8) and (9):
- if , then
- if , then, with ,
This turns the Bayes ratio (9) into an explicit function of , whose monotonicity Theorem 5.1 analyses.
Formalization Note is a natural-number power. In the case one has and hence for , so no denominator vanishes.
Preamble
import Mathlib import Definitions.Def_EngagementOpt_Survey_condUtility
Formal statement
namespace EngagementOpt.Survey
/-- arXiv:2202.11776v3, p. 21, (10): for `p, q ∈ (0, 1)`, `v̄ ≥ 0`, `W > 0`, and `t ≥ 1`,
`E[S | T = t] = v̄ (t + 1)/2 - W t` if `p = q`, and
`E[S | T = t] = v̄ (t β^t/(β^t - 1) - 1/(β - 1)) - W t` with `β = q/p` if `p ≠ q`. -/
theorem eq_10 (p q v W : ℝ) (hp0 : 0 < p) (hp1 : p < 1) (hq0 : 0 < q) (hq1 : q < 1)
(hv : 0 ≤ v) (hW : 0 < W)
(t : ℕ) (ht : 1 ≤ t) :
(p = q → condUtility v W p q t = v * (((t : ℝ) + 1) / 2) - W * t) ∧
(p ≠ q → condUtility v W p q t =
v * ((t : ℝ) * (q / p) ^ t / ((q / p) ^ t - 1) - 1 / (q / p - 1)) - W * t) := by sorry
end EngagementOpt.Survey
Source
Kleinberg, Mullainathan, Raghavan, The Challenge of Understanding What Users Want, arXiv:2202.11776v3, pp. 20–21, eq. (10)
Human review
Confirmed by the mission captain (proposal self-audit).
Confirmed by the moderator at approval.