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Learning.IT.step_eq_eval_comp_hist๐Ÿ”—

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step_eq_eval_comp_hist๐Ÿ”—

LemmaLearning.IT.step_eq_eval_comp_hist
Details

No docstring.

๐Ÿ”—theorem
Learning.IT.step_eq_eval_comp_hist.{u_1, u_2} {๐“ : Type u_1}
  {๐“จ : Type u_2} (n : โ„•) : step n = (fun x => x โŸจn, โ‹ฏโŸฉ) โˆ˜ hist n
Learning.IT.step_eq_eval_comp_hist.{u_1,
    u_2}
  {๐“ : Type u_1} {๐“จ : Type u_2} (n : โ„•) :
  step n = (fun x => x โŸจn, โ‹ฏโŸฉ) โˆ˜ hist n

Code

lemma step_eq_eval_comp_hist (n : โ„•) :
    step (๐“
Type uses (2)
Used by (1)

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Proof
๐“) (๐“จ := ๐“จ) n = (fun x โ†ฆ x โŸจn, by simpโŸฉ) โˆ˜ (hist n) := rfl

Dependency graph

Type dependencies (2)

step๐Ÿ”—

DefinitionLearning.IT.step
Details

Action and feedback at step n.

๐Ÿ”—def
Learning.IT.step.{u_1, u_2} {๐“ : Type u_1} {๐“จ : Type u_2} (n : โ„•)
  (h : โ„• โ†’ ๐“ ร— ๐“จ) : ๐“ ร— ๐“จ
Learning.IT.step.{u_1, u_2} {๐“ : Type u_1}
  {๐“จ : Type u_2} (n : โ„•) (h : โ„• โ†’ ๐“ ร— ๐“จ) :
  ๐“ ร— ๐“จ

Code

def step (n : โ„•) (h : โ„• โ†’ ๐“ ร— ๐“จ) : ๐“ ร— ๐“จ := h n
Used by (13)

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hist๐Ÿ”—

DefinitionLearning.IT.hist
Details

hist n is the history up to time n. This is a random variable on the measurable space โ„• โ†’ ๐“ ร— ๐“จ.

๐Ÿ”—def
Learning.IT.hist.{u_1, u_2} {๐“ : Type u_1} {๐“จ : Type u_2} (n : โ„•)
  (h : โ„• โ†’ ๐“ ร— ๐“จ) : โ†ฅ(Finset.Iic n) โ†’ ๐“ ร— ๐“จ
Learning.IT.hist.{u_1, u_2} {๐“ : Type u_1}
  {๐“จ : Type u_2} (n : โ„•) (h : โ„• โ†’ ๐“ ร— ๐“จ) :
  โ†ฅ(Finset.Iic n) โ†’ ๐“ ร— ๐“จ

Code

def hist (n : โ„•) (h : โ„• โ†’ ๐“ ร— ๐“จ) : Iic n โ†’ ๐“ ร— ๐“จ := fun i โ†ฆ h i
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