Lemma 12, eq. (114), p.48 — is non-expansive in
ProvedFocusSetRB.lemma_12asymptotic-optimalityaverage-reward-mdpmarkov-chainsp2o-gran-per-chapterp2o-plan-paperp2o-v1restless-bandits
Let be an optimal solution of (LP) whose policy induces an aperiodic unichain (Assumption 1). For every probability distribution on ,
where and vectors are row vectors.
It is used to show that the distance between and does not grow much in one step when the arms of follow (Lemma 13).
Differences from the source:
- encoding: distribution v ∈ Δ(𝕊), row vectors → v : S → ℝ nonnegative with ∑ v = 1; vP written v ᵥ* P; reason: Lean convention
- encoding: μ* is the stationary distribution of P_π̄* → μ*(s) := y*(s,0) + y*(s,1); reason: the paper states this identity on p.7; it is stationary by (2b) and (3) and is the unique stationary law under Assumption 1, so the same vector
- encoding: P_π̄* induces an aperiodic unichain (a single recurrent class and a possibly empty set of transient states) → some state is recurrent, any two recurrent states reach each other, and every recurrent state has period 1; transient states are unconstrained; reason: the same property of a finite chain spelled out state by state; the period of a state is the gcd of its return times
Preamble
import Mathlib import Definitions.Def_FocusSetRB_LPFeasible import Definitions.Def_FocusSetRB_IsAperiodicUnichain import Definitions.Def_FocusSetRB_piBar
Formal statement
namespace FocusSetRB
open Matrix
/-- **Lemma 12 (Non-expansiveness of `P_π̄*` under `L₁` norm), eq. (114), p.48** (Hong, Xie, Chen, Wang, arXiv:2402.05689v4).
For any distribution `v ∈ Δ(𝕊)`, `‖(v − μ*) P_π̄*‖₁ ≤ ‖v − μ*‖₁`.
Here `y` is an optimal solution of (LP) whose policy `π̄*` (3) induces an aperiodic unichain
(Assumption 1, p.7, the paper's standing assumption).
**Formalization Note.** `‖u‖₁ = ∑_s |u(s)|`; row-vector convention (`u ᵥ* P` is `uP`). -/
theorem lemma_12 {S : Type*} [Fintype S] [DecidableEq S] [Nonempty S]
(M : SingleArmMDP S) {α : ℝ} (hα0 : 0 < α) (hα1 : α < 1)
{y : S → Bool → ℝ} (hy : IsLPOptimal M α y) (hU : IsAperiodicUnichain (Ppi M y))
(v : S → ℝ) (hv0 : ∀ s, 0 ≤ v s) (hv1 : ∑ s, v s = 1) :
∑ s, |((v - muStar y) ᵥ* Ppi M y) s| ≤ ∑ s, |v s - muStar y s| := by sorry
end FocusSetRB
Source
Hong, Xie, Chen, Wang, Unichain and Aperiodicity are Sufficient for Asymptotic Optimality of Average-Reward Restless Bandits, arXiv:2402.05689v4, Lemma 12, eq. (114), p.48
Human review
Confirmed by the mission captain (proposal self-audit).
Confirmed by the moderator at approval.