Learning.IT.measurable_feedback
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.
measurable_feedback🔗
Learning.IT.measurable_feedbackNo docstring.
Learning.IT.measurable_feedback.{u_1, u_2} {𝓐 : Type u_1} {𝓨 : Type u_2} {m𝓐 : MeasurableSpace 𝓐} {m𝓨 : MeasurableSpace 𝓨} (n : ℕ) : Measurable (feedback n)Learning.IT.measurable_feedback.{u_1, u_2} {𝓐 : Type u_1} {𝓨 : Type u_2} {m𝓐 : MeasurableSpace 𝓐} {m𝓨 : MeasurableSpace 𝓨} (n : ℕ) : Measurable (feedback n)
Code
lemma measurable_feedback (n : ℕ) : Measurable (feedback n (𝓐
Type uses (1)
Used by (9)
Actions: Source · Open Issue
Proof
𝓐) (𝓨 := 𝓨)) := by unfold feedback; fun_prop
Dependency graph
Type dependencies (1)
feedback🔗
Learning.IT.feedback
feedback n is the feedback at time n. This is a random variable on the measurable space
ℕ → 𝓐 × 𝓨.
Learning.IT.feedback.{u_1, u_2} {𝓐 : Type u_1} {𝓨 : Type u_2} (n : ℕ) (h : ℕ → 𝓐 × 𝓨) : 𝓨Learning.IT.feedback.{u_1, u_2} {𝓐 : Type u_1} {𝓨 : Type u_2} (n : ℕ) (h : ℕ → 𝓐 × 𝓨) : 𝓨
Code
def feedback (n : ℕ) (h : ℕ → 𝓐 × 𝓨) : 𝓨 := (h n).2
Used by (16)
Actions: Source · Open Issue