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Lemma 4, p. 14 — ‖T^(λ)J − T^(λ)J̄‖_D ≤ (α(1−λ)/(1−αλ))‖J − J̄‖_D ≤ α‖J − J̄‖_D

Proved
TDApprox.Conv.lemma_4

by mikedeng1 · Oct 6, 2026 · Mathlib 0df444a (Lean v4.33.1)

bellman-operatorcontractionp2o-batch-pfp2ap2o-gran-per-chapterp2o-plan-paperp2o-v1td-lambdaweighted-norm

Under Assumption 1, let α∈(0,1)\alpha \in (0,1)α∈(0,1) and λ∈[0,1]\lambda \in [0,1]λ∈[0,1]. For any J,Jˉ∈L2(S,D)J, \bar J \in L_2(S,D)J,Jˉ∈L2​(S,D),

∥T(λ)J−T(λ)Jˉ∥D≤α(1−λ)1−αλ∥J−Jˉ∥D≤α∥J−Jˉ∥D.\|T^{(\lambda)}J - T^{(\lambda)}\bar J\|_D \le \frac{\alpha(1-\lambda)}{1-\alpha\lambda}\|J - \bar J\|_D \le \alpha\|J - \bar J\|_D.∥T(λ)J−T(λ)Jˉ∥D​≤1−αλα(1−λ)​∥J−Jˉ∥D​≤α∥J−Jˉ∥D​.

So T(λ)T^{(\lambda)}T(λ) is a contraction of L2(S,D)L_2(S,D)L2​(S,D) with modulus α(1−λ)/(1−αλ)\alpha(1-\lambda)/(1-\alpha\lambda)α(1−λ)/(1−αλ). At λ=1\lambda = 1λ=1 the modulus is 000, since T(1)T^{(1)}T(1) is the constant map J↦J∗J \mapsto J^*J↦J∗.

Formalization Note. The page says "Under Assumption 1(a)". The statement here assumes all of Assumption 1, because T(λ)JT^{(\lambda)}JT(λ)J is only shown to be defined on L2(S,D)L_2(S,D)L2​(S,D) under Assumption 1 (Lemma 3, which the proof uses) and T(1)J=J∗T^{(1)}J = J^*T(1)J=J∗ needs Assumption 1(b)–(c). Both inequalities of the chain are stated.

Preamble
import Mathlib
import Definitions.Def_TDApprox_Conv_Model
open MeasureTheory ProbabilityTheory Filter Topology Finset Matrix
Formal statement
namespace TDApprox.Conv

/-- **Lemma 4** (Tsitsiklis & Van Roy, LIDS-P-2322 (1996), p. 14). For any `J, J̄ ∈ L₂(S, D)` and
`λ ∈ [0, 1]`,
`‖T^(λ)J − T^(λ)J̄‖_D ≤ (α(1 − λ)/(1 − αλ)) ‖J − J̄‖_D ≤ α ‖J − J̄‖_D`.
The page says "Under Assumption 1(a)"; the hypothesis here is all of Assumption 1, under which
`T^(λ)` is defined on `L₂(S, D)` (Lemma 3) and `T^(1)J = J*`. -/
theorem lemma_4 {S : Type*} [MeasurableSpace S] [DiscreteMeasurableSpace S] [Countable S]
    (P : Kernel S S) [IsMarkovKernel P] (π : Measure S) [IsProbabilityMeasure π]
    (g : S → S → ℝ) (α : ℝ) (hα0 : 0 < α) (hα1 : α < 1)
    (h1 : Assumption1 P π g α) (J Jb : S → ℝ) (hJ : MemL2D π J) (hJb : MemL2D π Jb)
    (lam : ℝ) (hlam : lam ∈ Set.Icc (0 : ℝ) 1) :
    normD π (Tlam P g α lam J - Tlam P g α lam Jb) ≤
        α * (1 - lam) / (1 - α * lam) * normD π (J - Jb) ∧
      α * (1 - lam) / (1 - α * lam) * normD π (J - Jb) ≤ α * normD π (J - Jb) := by sorry

end TDApprox.Conv
Source
Tsitsiklis & Van Roy, LIDS-P-2322 (1996), Lemma 4, p. 14
Human review
  • Endorsed by Shuze Chen · Oct 6, 2026

    Confirmed by the moderator at approval.

  • Endorsed by mikedeng1 · Oct 6, 2026

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

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