LeanMachineLearning exposition

Learning.IT.measurable_feedback_prod🔗

This page has the declaration's own card below, then its dependency graph, then a card for each dependency (type dependencies first, then the rest of the transitive closure). For a theorem, the graph and the dependency cards only follow its statement's dependencies (its proof is replaced by sorry, so what it proves doesn't depend on how); for everything else, both the type and the body/value are followed, since their content is part of what later declarations build on.

Minimal Lean file

measurable_feedback_prod🔗

LemmaLearning.IT.measurable_feedback_prod

No docstring.

🔗theorem
Learning.IT.measurable_feedback_prod.{u_1, u_2} {𝓐 : Type u_1} {𝓨 : Type u_2} {m𝓐 : MeasurableSpace 𝓐} {m𝓨 : MeasurableSpace 𝓨} : Measurable fun p => feedback (Prod.fst p) (Prod.snd p)
Learning.IT.measurable_feedback_prod.{u_1, u_2} {𝓐 : Type u_1} {𝓨 : Type u_2} {m𝓐 : MeasurableSpace 𝓐} {m𝓨 : MeasurableSpace 𝓨} : Measurable fun p => feedback (Prod.fst p) (Prod.snd p)

Code

lemma measurable_feedback_prod : Measurable (fun p : ℕ × (ℕ → 𝓐 × 𝓨) ↦ feedback p.1 p.2)
Type uses (1)
Body uses (1)

Actions: Source · Open Issue

Proof
measurable_from_prod_countable_right fun n ↦ (by simp only; fun_prop)

Dependency graph

Type dependencies (1)

feedback🔗

DefinitionLearning.IT.feedback

feedback n is the feedback at time n. This is a random variable on the measurable space ℕ → 𝓐 × 𝓨.

🔗def
Learning.IT.feedback.{u_1, u_2} {𝓐 : Type u_1} {𝓨 : Type u_2} (n : ) (h : 𝓐 × 𝓨) : 𝓨
Learning.IT.feedback.{u_1, u_2} {𝓐 : Type u_1} {𝓨 : Type u_2} (n : ) (h : 𝓐 × 𝓨) : 𝓨

Code

def feedback (n : ℕ) (h : ℕ → 𝓐 × 𝓨) : 𝓨 := (h n).2
Used by (16)

Actions: Source · Open Issue