roseking's picture
Add lean source and binary files (part 40)
f0f05de verified
Raw History Blame Contribute Delete
6.19 kB
import Mathlib.Probability.Distributions.Binomial
import OAI.Combinatorics.BalancedRyser.Candidates.CandidateMultiplicity
namespace OAI
namespace Balanced
open scoped _root_.Balanced
open Finset
section Counting
variable {I F : Type*} [Fintype I] [Fintype F]
variable [DecidableEq I] [DecidableEq F]
theorem card_exact_coordinate_set (target : I → F) (s : Finset I) :
(Finset.univ.filter (fun ω : I → F =>
Finset.univ.filter (fun i => ω i = target i) = s)).card =
(Fintype.card F - 1) ^ (Fintype.card I - s.card) := by
classical
have hset : Finset.univ.filter (fun ω : I → F =>
Finset.univ.filter (fun i => ω i = target i) = s) =
Fintype.piFinset (fun i =>
if i ∈ s then {target i} else Finset.univ.erase (target i)) := by
ext ω
simp only [Finset.mem_filter, Finset.mem_univ, true_and, Fintype.mem_piFinset]
constructor
· intro h i
have hi : ω i = target i ↔ i ∈ s := by
simpa using (Finset.ext_iff.mp h i)
by_cases his : i ∈ s
· simp [his, hi.mpr his]
· have hne : ω i ≠ target i := fun he => his (hi.mp he)
simp [his, hne]
· intro h
ext i
specialize h i
by_cases his : i ∈ s <;> simp_all
rw [hset, Fintype.card_piFinset]
simp only [apply_ite Finset.card, Finset.card_singleton,
Finset.card_erase_of_mem (Finset.mem_univ _), Finset.card_univ]
rw [Finset.prod_ite]
simp [← Finset.compl_eq_univ_sdiff, Finset.filter_not, Finset.card_compl]
theorem card_exact_coordinate_matches (target : I → F) (m : ℕ) :
(Finset.univ.filter (fun ω : I → F =>
(Finset.univ.filter (fun i => ω i = target i)).card = m)).card =
(Fintype.card I).choose m *
(Fintype.card F - 1) ^ (Fintype.card I - m) := by
classical
have hsplit := Finset.sum_card_fiberwise_eq_card_filter
(Finset.univ : Finset (I → F)) ((Finset.univ : Finset I).powersetCard m)
(fun ω => Finset.univ.filter (fun i => ω i = target i))
have hmem : ∀ ω : I → F,
(Finset.univ.filter (fun i => ω i = target i)) ∈
(Finset.univ : Finset I).powersetCard m ↔
(Finset.univ.filter (fun i => ω i = target i)).card = m := by
intro ω
simp only [Finset.mem_powersetCard, Finset.subset_univ, true_and]
simp only [hmem] at hsplit
rw [← hsplit]
calc
_ = ∑ _s ∈ (Finset.univ : Finset I).powersetCard m,
(Fintype.card F - 1) ^ (Fintype.card I - m) := by
apply Finset.sum_congr rfl
intro s hs
rw [card_exact_coordinate_set, (Finset.mem_powersetCard.mp hs).2]
_ = _ := by simp
theorem uniform_exact_coordinate_matches [Nonempty F] (target : I → F) (m : ℕ) :
((PMF.uniformOfFintype (I → F)).toOuterMeasure
{ω | (Finset.univ.filter (fun i => ω i = target i)).card = m}).toReal =
((Fintype.card I).choose m : ℝ) *
((Fintype.card F - 1 : ℕ) : ℝ) ^ (Fintype.card I - m) /
(Fintype.card F : ℝ) ^ Fintype.card I := by
classical
rw [PMF.toOuterMeasure_uniformOfFintype_apply]
simp only [ENNReal.toReal_div, ENNReal.toReal_pow, ENNReal.toReal_natCast,
Set.mem_ofPred_eq, Fintype.card_subtype, Fintype.card_fun, Nat.cast_pow]
rw [card_exact_coordinate_matches]
simp only [Nat.cast_mul, Nat.cast_pow]
theorem uniform_exact_coordinate_matches_binomial [Nonempty F]
(target : I → F) (m : ℕ) :
((PMF.uniformOfFintype (I → F)).toOuterMeasure
{ω | (Finset.univ.filter (fun i => ω i = target i)).card = m}).toReal =
((Fintype.card I).choose m : ℝ) * (1 / (Fintype.card F : ℝ)) ^ m *
(1 - 1 / (Fintype.card F : ℝ)) ^ (Fintype.card I - m) := by
rw [uniform_exact_coordinate_matches]
have hq : (Fintype.card F : ℝ) ≠ 0 := by
exact_mod_cast Fintype.card_ne_zero (α := F)
by_cases hm : m ≤ Fintype.card I
· have hbase : 1 - 1 / (Fintype.card F : ℝ) =
((Fintype.card F : ℝ) - 1) / Fintype.card F := by
field_simp
rw [Nat.cast_sub Fintype.card_pos, Nat.cast_one, hbase, div_pow, div_pow, one_pow]
have hpow : (Fintype.card F : ℝ) ^ Fintype.card I =
(Fintype.card F : ℝ) ^ m * (Fintype.card F : ℝ) ^ (Fintype.card I - m) := by
rw [← pow_add, Nat.add_sub_of_le hm]
rw [hpow]
field_simp
· rw [Nat.choose_eq_zero_of_lt (Nat.lt_of_not_ge hm)]
simp
end Counting
section Affine
variable {F : Type*} [Field F] [Fintype F] [DecidableEq F]
noncomputable def multiplicityParameter (F : Type*) [Fintype F] [Nonempty F] :
unitInterval :=
⟨1 / (Fintype.card F : ℝ), by
constructor
· positivity
· have hq : (1 : ℝ) ≤ Fintype.card F := by
exact_mod_cast Fintype.card_pos (α := F)
simpa using one_div_le_one_div_of_le (by norm_num : (0 : ℝ) < 1) hq⟩
theorem sampledMultiplicity_atom (p : Point F) (m : ℕ) :
offsetEventProbability {M : MergedPairs F | sampledMultiplicity M p = m} =
((2 * (Fintype.card F + 1)).choose m : ℝ) *
(1 / (Fintype.card F : ℝ)) ^ m *
(1 - 1 / (Fintype.card F : ℝ)) ^ (2 * (Fintype.card F + 1) - m) := by
classical
let e := Equiv.curry (Direction F) Bool F
have he := uniform_toOuterMeasure_equiv e
{M : MergedPairs F | sampledMultiplicity M p = m}
have h := uniform_exact_coordinate_matches_binomial
(fun ds : Direction F × Bool => lineEval ds.1 p) m
unfold offsetEventProbability
rw [offsetLaw_eq_uniform, ← he]
simpa [e, Equiv.curry, Function.curry, sampledMultiplicity, OnLine, constituent,
eq_comm, Fintype.card_prod, Fintype.card_option, Nat.mul_comm] using h
theorem sampledMultiplicity_law (p : Point F) :
((offsetLaw F).map (fun M => sampledMultiplicity M p)).toMeasure =
ProbabilityTheory.binomial (2 * (Fintype.card F + 1)) (multiplicityParameter F) := by
apply MeasureTheory.Measure.ext_of_measureReal_singleton
intro m
rw [ProbabilityTheory.binomial_real_singleton]
change (((offsetLaw F).map (fun M => sampledMultiplicity M p)).toMeasure {m}).toReal = _
rw [PMF.toMeasure_apply_eq_toOuterMeasure_apply _ (measurableSet_singleton _),
PMF.toOuterMeasure_map_apply]
exact sampledMultiplicity_atom p m
end Affine
end Balanced
end OAI