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Add lean source and binary files (part 84)
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import Mathlib.Analysis.SpecialFunctions.Log.Basic
import Mathlib.Algebra.BigOperators.Fin
import Mathlib.Algebra.BigOperators.Field
import Mathlib.Algebra.BigOperators.Group.Finset.Piecewise
import Mathlib.Algebra.Order.BigOperators.Group.Finset
import Mathlib.Tactic.FieldSimp
import Mathlib.Tactic.Ring
namespace OAI
/-! Finite entropy, rate estimates and ordered asymptotic limits. -/
noncomputable section
namespace MatrixMultiplication.Foundation
open scoped BigOperators
def entropyTerm (p : ℝ) : ℝ := -p * Real.log p
def finiteEntropy {A : Type*} [Fintype A] (p : A → ℝ) : ℝ := ∑ a, entropyTerm (p a)
theorem finiteEntropy_equiv {A B : Type*} [Fintype A] [Fintype B]
(e : A ≃ B) (p : B → ℝ) : finiteEntropy (fun a => p (e a)) = finiteEntropy p :=
e.sum_comp (fun b => entropyTerm (p b))
@[simp] theorem entropyTerm_zero : entropyTerm 0 = 0 := by simp [entropyTerm]
theorem entropyTerm_mul (p q : ℝ) :
entropyTerm (p * q) = q * entropyTerm p + p * entropyTerm q := by
by_cases hp : p = 0
· simp [hp]
by_cases hq : q = 0
· simp [hq]
rw [entropyTerm, Real.log_mul hp hq]
unfold entropyTerm
ring
theorem finiteEntropy_chain {A B : Type*} [Fintype A] [Fintype B]
(p : A → ℝ) (q : A → B → ℝ) (hq : ∀ a, ∑ b, q a b = 1) :
finiteEntropy (fun ab : A × B => p ab.1 * q ab.1 ab.2) =
finiteEntropy p + ∑ a, p a * finiteEntropy (q a) := by
simp only [finiteEntropy, Fintype.sum_prod_type, entropyTerm_mul,
Finset.sum_add_distrib, ← Finset.sum_mul, ← Finset.mul_sum, hq, one_mul]
structure FiniteLaw (A : Type*) [Fintype A] where
mass : A → ℝ
nonneg : ∀ a, 0 ≤ mass a
total : ∑ a, mass a = 1
namespace FiniteLaw
variable {A B : Type*} [Fintype A] [Fintype B]
def map (p : FiniteLaw A) (f : A → B) : FiniteLaw B := by
classical
exact
{ mass := fun b => ∑ a, if f a = b then p.mass a else 0
nonneg := fun b => Finset.sum_nonneg fun a _ => by
split_ifs
· exact p.nonneg a
· exact le_rfl
total := by
rw [Finset.sum_comm]
simpa using p.total }
@[simp] theorem map_mass [DecidableEq B] (p : FiniteLaw A) (f : A → B) (b : B) :
(p.map f).mass b = ∑ a, if f a = b then p.mass a else 0 := by
classical
dsimp only [map]
apply Finset.sum_congr rfl
intro a _
by_cases h : f a = b <;> simp only [h, ite_true, ite_false]
theorem map_mass_apply (p : FiniteLaw A) (f : A → B)
(hf : Function.Injective f) (a : A) : (p.map f).mass (f a) = p.mass a := by
classical
simp [map_mass, hf.eq_iff]
theorem map_entropy_of_injective (p : FiniteLaw A) (f : A → B)
(hf : Function.Injective f) : finiteEntropy (p.map f).mass = finiteEntropy p.mass := by
classical
have hterm (b : B) : entropyTerm ((p.map f).mass b) =
∑ a, if f a = b then entropyTerm (p.mass a) else 0 := by
by_cases hb : ∃ a, f a = b
· obtain ⟨a, rfl⟩ := hb
rw [map_mass_apply p f hf]
simp [hf.eq_iff]
· simp [map_mass, not_exists.mp hb]
unfold finiteEntropy
simp_rw [hterm]
rw [Finset.sum_comm]
simp
def joint (p : FiniteLaw A) (q : A → FiniteLaw B) : FiniteLaw (A × B) where
mass ab := p.mass ab.1 * (q ab.1).mass ab.2
nonneg ab := mul_nonneg (p.nonneg ab.1) ((q ab.1).nonneg ab.2)
total := by simp [Fintype.sum_prod_type, ← Finset.mul_sum, (q _).total, p.total]
theorem joint_entropy (p : FiniteLaw A) (q : A → FiniteLaw B) :
finiteEntropy (p.joint q).mass =
finiteEntropy p.mass + ∑ a, p.mass a * finiteEntropy (q a).mass :=
finiteEntropy_chain p.mass (fun a => (q a).mass) (fun a => (q a).total)
theorem mass_le_map_mass (p : FiniteLaw A) (f : A → B) (a : A) :
p.mass a ≤ (p.map f).mass (f a) := by
classical
rw [map_mass]
have h := Finset.single_le_sum
(s := (Finset.univ : Finset A))
(f := fun a' => if f a' = f a then p.mass a' else 0)
(fun a' _ => by
split_ifs
· exact p.nonneg a'
· exact le_rfl)
(Finset.mem_univ a)
simpa using h
def conditional (p : FiniteLaw A) (f : A → B) (b : B) : FiniteLaw A := by
classical
exact if hzero : (p.map f).mass b = 0 then p else
{ mass := fun a => (if f a = b then p.mass a else 0) / (p.map f).mass b
nonneg := fun a => div_nonneg
(by split_ifs; exact p.nonneg a; exact le_rfl) ((p.map f).nonneg b)
total := by
rw [← Finset.sum_div, ← map_mass p f b, div_self hzero] }
theorem map_mass_mul_conditional [DecidableEq B]
(p : FiniteLaw A) (f : A → B) (b : B) (a : A) :
(p.map f).mass b * (p.conditional f b).mass a =
if f a = b then p.mass a else 0 := by
classical
by_cases hzero : (p.map f).mass b = 0
· have ha : f a = b → p.mass a = 0 := by
intro hab
have hle := p.mass_le_map_mass f a
rw [hab, hzero] at hle
exact le_antisymm hle (p.nonneg a)
rw [hzero, zero_mul]
by_cases hab : f a = b
· rw [ite_eq_left hab, ha hab]
· rw [ite_eq_right hab]
· simp only [conditional, hzero, ↓reduceDIte]
by_cases hab : f a = b
· simpa only [hab, ite_true] using (mul_div_cancel₀ (p.mass a) hzero)
· simp only [hab, ite_false, zero_div, mul_zero]
theorem entropy_eq_map_add_conditional (p : FiniteLaw A) (f : A → B) :
finiteEntropy p.mass = finiteEntropy (p.map f).mass +
∑ b, (p.map f).mass b * finiteEntropy (p.conditional f b).mass := by
classical
let graph : A → B × A := fun a => (f a, a)
have hinj : Function.Injective graph := fun _ _ h => congrArg Prod.snd h
have hmass : ((p.map f).joint (p.conditional f)).mass = (p.map graph).mass := by
funext ba
rcases ba with ⟨b, a⟩
change (p.map f).mass b * (p.conditional f b).mass a = (p.map graph).mass (b, a)
rw [map_mass_mul_conditional, map_mass, Finset.sum_eq_single a]
· simp only [graph, Prod.mk.injEq, and_true]
· intro x _ hxa
simp only [graph, Prod.mk.injEq, hxa, and_false, ite_false]
· intro ha
exact (ha (Finset.mem_univ a)).elim
calc
finiteEntropy p.mass = finiteEntropy (p.map graph).mass :=
(p.map_entropy_of_injective graph hinj).symm
_ = finiteEntropy ((p.map f).joint (p.conditional f)).mass := by rw [hmass]
_ = _ := (p.map f).joint_entropy (p.conditional f)
end FiniteLaw
end MatrixMultiplication.Foundation
end
end OAI