`Learning.IsDeterministicAlg.hasLaw_action_zero`🔗

Lemma

No docstring.

theorem

Learning.IsDeterministicAlg.hasLaw_action_zero.{u_1, u_2, u_3}
  {𝓐 : Type u_1} {𝓨 : Type u_2} {m𝓐 : MeasurableSpace 𝓐}
  {m𝓨 : MeasurableSpace 𝓨} {Ω : Type u_3} {mΩ : MeasurableSpace Ω}
  {alg : Algorithm 𝓐 𝓨} {env : Environment 𝓐 𝓨}
  {P : MeasureTheory.Measure Ω} [MeasureTheory.IsFiniteMeasure P]
  {A : ℕ → Ω → 𝓐} {Y : ℕ → Ω → 𝓨} [h_det : IsDeterministicAlg alg]
  (h : IsAlgEnvSeq A Y alg env P) :
  ProbabilityTheory.HasLaw (A 0)
    (MeasureTheory.Measure.dirac (actionZero alg)) P
Learning.IsDeterministicAlg.hasLaw_action_zero.{u_1,
    u_2, u_3}
  {𝓐 : Type u_1} {𝓨 : Type u_2}
  {m𝓐 : MeasurableSpace 𝓐}
  {m𝓨 : MeasurableSpace 𝓨} {Ω : Type u_3}
  {mΩ : MeasurableSpace Ω}
  {alg : Algorithm 𝓐 𝓨}
  {env : Environment 𝓐 𝓨}
  {P : MeasureTheory.Measure Ω}
  [MeasureTheory.IsFiniteMeasure P]
  {A : ℕ → Ω → 𝓐} {Y : ℕ → Ω → 𝓨}
  [h_det : IsDeterministicAlg alg]
  (h : IsAlgEnvSeq A Y alg env P) :
  ProbabilityTheory.HasLaw (A 0)
    (MeasureTheory.Measure.dirac
      (actionZero alg))
    P

Code

lemma hasLaw_action_zero [h_det : IsDeterministicAlg alg] (h : IsAlgEnvSeq A Y alg env P) :
    HasLaw (A 0) (Measure.dirac (actionZero alg)) P where
  aemeasurable

Proof

have hA := h.measurable_action; by fun_prop
  map_eq := (h.hasLaw_action_zero).map_eq.trans (p0_eq_dirac alg)

Actions: Source · Open Issue

Meaning last changed in v4.34.0-rc2-1-g439785b (2026-08-23), the 4th recorded change.

Self-contained, with its dependencies inlined and proofs replaced by sorry: download the raw file · open it in the Lean web editor.

Dependency graph

Audit surface: 6 project declarations, 44 external constants

✓ 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.

Learning.IsDeterministicAlg.hasLaw_action_zero🔗

`Learning.IsDeterministicAlg.hasLaw_action_zero`🔗