Bandits.ArrayModel.identDistrib_sum_range_snd
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identDistrib_sum_range_snd๐
Bandits.ArrayModel.identDistrib_sum_range_sndNo docstring.
Bandits.ArrayModel.identDistrib_sum_range_snd.{u_1} {๐ : Type u_1} {m๐ : MeasurableSpace ๐} [Countable ๐] {ฮฝ : ProbabilityTheory.Kernel ๐ โ} [ProbabilityTheory.IsMarkovKernel ฮฝ] (a : ๐) (k : โ) : ProbabilityTheory.IdentDistrib (fun ฯ => โ i โ Finset.range k, Prod.snd ฯ i a) (fun ฯ => โ i โ Finset.range k, ฯ i a) (arrayMeasure ฮฝ) (streamMeasure ฮฝ)Bandits.ArrayModel.identDistrib_sum_range_snd.{u_1} {๐ : Type u_1} {m๐ : MeasurableSpace ๐} [Countable ๐] {ฮฝ : ProbabilityTheory.Kernel ๐ โ} [ProbabilityTheory.IsMarkovKernel ฮฝ] (a : ๐) (k : โ) : ProbabilityTheory.IdentDistrib (fun ฯ => โ i โ Finset.range k, Prod.snd ฯ i a) (fun ฯ => โ i โ Finset.range k, ฯ i a) (arrayMeasure ฮฝ) (streamMeasure ฮฝ)
Code
lemma identDistrib_sum_range_snd (a : ๐) (k : โ) :
IdentDistrib (fun ฯ โฆ โ i โ range k, ฯ.2 i a) (fun ฯ โฆ โ i โ range k, ฯ i a)
๐ (streamMeasure ฮฝ) where
aemeasurable_fstType uses (4)
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Proof
by fun_prop
aemeasurable_snd := (measurable_sum _ fun i _ โฆ by fun_prop).aemeasurable
map_eq := by
rw [โ Measure.snd_prod (ฮผ := (Measure.infinitePi fun (_ : โ) โฆ (volume : Measure unitInterval)))
(ฮฝ := streamMeasure ฮฝ), Measure.snd, Measure.map_map (by fun_prop) (by fun_prop)]
rflDependency graph
Type dependencies (4)
probSpace๐
Bandits.ArrayModel.probSpaceProbability space for the array model of stochastic bandits.
Bandits.ArrayModel.probSpace.{u_1, u_2} (๐ : Type u_1) (R : Type u_2) : Type (max u_1 u_2)Bandits.ArrayModel.probSpace.{u_1, u_2} (๐ : Type u_1) (R : Type u_2) : Type (max u_1 u_2)
Code
def probSpace : Type _ := (โ โ I) ร (โ โ ๐ โ R)
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instMeasurableSpaceProbSpace๐
Bandits.ArrayModel.instMeasurableSpaceProbSpaceNo docstring.
Bandits.ArrayModel.instMeasurableSpaceProbSpace.{u_3, u_4} {๐ : Type u_3} {R : Type u_4} [MeasurableSpace R] : MeasurableSpace (probSpace ๐ R)Bandits.ArrayModel.instMeasurableSpaceProbSpace.{u_3, u_4} {๐ : Type u_3} {R : Type u_4} [MeasurableSpace R] : MeasurableSpace (probSpace ๐ R)
Code
instance {๐ R : Type*} [MeasurableSpace R] : MeasurableSpace (probSpace ๐ R)Type uses (1)
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Proof
inferInstanceAs (MeasurableSpace ((โ โ I) ร (โ โ ๐ โ R)))
arrayMeasure๐
Bandits.ArrayModel.arrayMeasureProbability measure for the array model of stochastic bandits.
Bandits.ArrayModel.arrayMeasure.{u_1, u_2} {๐ : Type u_1} {R : Type u_2} {m๐ : MeasurableSpace ๐} {mR : MeasurableSpace R} (ฮฝ : ProbabilityTheory.Kernel ๐ R) : MeasureTheory.Measure (probSpace ๐ R)Bandits.ArrayModel.arrayMeasure.{u_1, u_2} {๐ : Type u_1} {R : Type u_2} {m๐ : MeasurableSpace ๐} {mR : MeasurableSpace R} (ฮฝ : ProbabilityTheory.Kernel ๐ R) : MeasureTheory.Measure (probSpace ๐ R)
Code
noncomputable def arrayMeasure (ฮฝ : Kernel ๐ R) : Measure (probSpace ๐ R) := (Measure.infinitePi fun _ โฆ volume).prod (streamMeasure ฮฝ)
Type uses (2)
Body uses (1)
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streamMeasure๐
Bandits.streamMeasureMeasure of an infinite stream of rewards from each action.
Bandits.streamMeasure.{u_1, u_2} {๐ : Type u_1} {R : Type u_2} {m๐ : MeasurableSpace ๐} {mR : MeasurableSpace R} (ฮฝ : ProbabilityTheory.Kernel ๐ R) : MeasureTheory.Measure (โ โ ๐ โ R)Bandits.streamMeasure.{u_1, u_2} {๐ : Type u_1} {R : Type u_2} {m๐ : MeasurableSpace ๐} {mR : MeasurableSpace R} (ฮฝ : ProbabilityTheory.Kernel ๐ R) : MeasureTheory.Measure (โ โ ๐ โ R)
Code
noncomputable def streamMeasure (ฮฝ : Kernel ๐ R) : Measure (โ โ ๐ โ R) := Measure.infinitePi fun _ โฆ Measure.infinitePi ฮฝ
Used by (56)
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