Learning.IsAlgEnvSeq.stronglyAdapted_empMean_add_one
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Learning.IsAlgEnvSeq.stronglyAdapted_empMean_add_one.{u_1, u_3} {π : Type u_1} {Ξ© : Type u_3} {mπ : MeasurableSpace π} {mΞ© : MeasurableSpace Ξ©} [DecidableEq π] {P : MeasureTheory.Measure Ξ©} [MeasureTheory.IsProbabilityMeasure P] {A : β β Ξ© β π} [MeasurableSingletonClass π] {R' : β β Ξ© β β} {alg : Algorithm π β} {env : Environment π β} (h : IsAlgEnvSeq A R' alg env P) (a : π) : MeasureTheory.StronglyAdapted (filtration h) fun n => empMean A R' a (n + 1)Learning.IsAlgEnvSeq.stronglyAdapted_empMean_add_one.{u_1, u_3} {π : Type u_1} {Ξ© : Type u_3} {mπ : MeasurableSpace π} {mΞ© : MeasurableSpace Ξ©} [DecidableEq π] {P : MeasureTheory.Measure Ξ©} [MeasureTheory.IsProbabilityMeasure P] {A : β β Ξ© β π} [MeasurableSingletonClass π] {R' : β β Ξ© β β} {alg : Algorithm π β} {env : Environment π β} (h : IsAlgEnvSeq A R' alg env P) (a : π) : MeasureTheory.StronglyAdapted (filtration h) fun n => empMean A R' a (n + 1)
Code
lemma IsAlgEnvSeq.stronglyAdapted_empMean_add_one
{R' : β β Ξ© β β} {alg : Algorithm π β} {env : Environment π β}
(h : IsAlgEnvSeq A R' alg env P) (a : π) :
StronglyAdapted h.filtration (fun n β¦ empMean A R' a (n + 1))Proof
by have h_predictable := h.isStronglyPredictable_empMean a rw [IsStronglyPredictable.iff_measurable_add_one] at h_predictable exact h_predictable.2
Actions: Source Β· Open Issue
Meaning last changed in v4.34.0-rc2-14-gf86702d (2026-08-25), the 6th recorded change.
Self-contained, with its dependencies inlined and proofs replaced by sorry: download the raw file Β· open it in the Lean web editor.
Dependency graph
Audit surface: 8 project declarations, 74 external constants
β Proved: no sorry anywhere in its closure
This is the tool's own reading of one build's recorded axioms, and it is not robust against an author who wants it to pass. Checking meant to be relied on should go through Comparator, which replays the proof through the kernel from an export against an explicit list of permitted axioms.