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Add lean source and binary files (part 41)
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import OAI.Combinatorics.CliqueFree.FiniteEntropy
import OAI.Combinatorics.CliqueFree.WeightedGraph
namespace OAI
noncomputable section
open scoped BigOperators
open Finset
attribute [local instance] Classical.propDecidable
namespace CliqueFreeIndependence.WeightedGraph
universe u v
variable {V : Type u} [Fintype V]
/-- Oriented edges, the disjoint union of the neighborhood state spaces. -/
abbrev EdgeState (G : SimpleGraph V) := {e : V × V // G.Adj e.1 e.2}
noncomputable instance edgeStateFintype (G : SimpleGraph V) : Fintype (EdgeState G) :=
Subtype.fintype _
local instance (priority := 10000) edgeStateDecEq (G : SimpleGraph V) : DecidableEq (EdgeState G) :=
Classical.decEq _
namespace EdgeState
variable {G : SimpleGraph V}
def src (e : EdgeState G) : V := e.val.1
def dst (e : EdgeState G) : V := e.val.2
omit [Fintype V] in
@[simp] lemma adj (e : EdgeState G) : G.Adj e.src e.dst := e.property
def rev (e : EdgeState G) : EdgeState G := ⟨(e.dst, e.src), e.adj.symm⟩
omit [Fintype V] in
@[simp] lemma src_rev (e : EdgeState G) : e.rev.src = e.dst := rfl
omit [Fintype V] in
@[simp] lemma dst_rev (e : EdgeState G) : e.rev.dst = e.src := rfl
omit [Fintype V] in
@[simp] lemma rev_rev (e : EdgeState G) : e.rev.rev = e := by cases e; rfl
def revEquiv : EdgeState G ≃ EdgeState G where
toFun := rev
invFun := rev
left_inv := rev_rev
right_inv := rev_rev
lemma sum_eq (f : V → V → ℝ) :
(∑ e : EdgeState G, f e.src e.dst) = ∑ u, ∑ v ∈ neighbors G u, f u v := by
classical
change (∑ e : {e : V × V // G.Adj e.1 e.2}, f e.val.1 e.val.2) = _
rw [← Finset.sum_subtype (univ.filter fun e : V × V ↦ G.Adj e.1 e.2)
(by simp) (fun e : V × V ↦ f e.1 e.2)]
simp only [sum_filter, Fintype.sum_prod_type, neighbors]
lemma sum_fiber (u : V) (f : V → ℝ) :
(∑ e : EdgeState G, if e.src = u then f e.dst else 0) = ∑ v ∈ neighbors G u, f v := by
classical
rw [sum_eq (fun a b ↦ if a = u then f b else 0)]
simp
lemma sum_fiber' (u : V) (f : V → ℝ) :
(∑ e : EdgeState G, if u = e.src then f e.dst else 0) = ∑ v ∈ neighbors G u, f v := by
classical
simpa only [eq_comm] using sum_fiber u f
end EdgeState
lemma growth_nonneg {x s : ℝ} (hx : 0 ≤ x) (hs : 0 ≤ s) : 0 ≤ growth x s :=
mul_nonneg hs (add_nonneg hx (le_max_left _ _))
@[simp] lemma growth_zero (x : ℝ) : growth x 0 = 0 := by simp [growth]
lemma growth_small {x s : ℝ} (hs : 0 < s) (hs1 : s ≤ 1) :
growth x s = s * (x - Real.log s) := by
have hl : Real.log s ≤ 0 := Real.log_nonpos hs.le hs1
simp [growth, Real.log_inv, max_eq_right (neg_nonneg.2 hl), sub_eq_add_neg]
lemma growth_large {x s : ℝ} (hs : 1 ≤ s) : growth x s = s * x := by
have hl : 0 ≤ Real.log s := Real.log_nonneg hs
simp [growth, Real.log_inv, max_eq_left (neg_nonpos.2 hl)]
lemma growth_mono {x : ℝ} (hx : 1 ≤ x) : MonotoneOn (growth x) (Set.Ici 0) := by
intro a ha b hb hab
change 0 ≤ a at ha
change 0 ≤ b at hb
rcases ha.eq_or_lt with ha | ha
· rw [← ha, growth_zero]
exact growth_nonneg (by linarith) hb
have hb0 : 0 < b := ha.trans_le hab
by_cases hb1 : b ≤ 1
· rw [growth_small ha (hab.trans hb1), growth_small hb0 hb1]
have hrel := FiniteEntropy.relTerm_nonneg ha.le hb0.le (fun _ ↦ hb0)
rw [Real.log_div ha.ne' hb0.ne'] at hrel
have hlog : Real.log b ≤ 0 := Real.log_nonpos hb0.le hb1
have hmul := mul_nonneg (sub_nonneg.2 hab) (show 0 ≤ x - 1 - Real.log b by linarith)
nlinarith
by_cases ha1 : 1 ≤ a
· rw [growth_large ha1, growth_large (le_of_not_ge hb1)]
exact mul_le_mul_of_nonneg_right hab (by linarith)
· rw [growth_small ha (le_of_not_ge ha1), growth_large (le_of_not_ge hb1)]
have hrel := FiniteEntropy.relTerm_nonneg ha.le (by norm_num : (0:ℝ) ≤ 1)
(fun _ ↦ by norm_num)
simp only [div_one] at hrel
have hamul := mul_nonneg (sub_nonneg.2 (le_of_not_ge ha1)) (show 0 ≤ x - 1 by linarith)
have hbmul := mul_nonneg (sub_nonneg.2 (le_of_not_ge hb1)) (show 0 ≤ x by linarith)
nlinarith
lemma growth_le_twice {x s : ℝ} (hx : 1 ≤ x) (hs : 0 ≤ s) :
growth x s ≤ 2 * x * (s + Real.exp (-x)) := by
have hx0 : 0 ≤ x := by linarith
have hexp := Real.exp_pos (-x)
have hi (b : ℝ) (hb : Real.exp (-x) ≤ b) : growth x b ≤ 2 * x * b := by
have hb0 := hexp.trans_le hb
have hl : -Real.log b ≤ x := by
have := Real.log_le_log hexp hb
rw [Real.log_exp] at this
linarith
have hmax : max 0 (-Real.log b) ≤ x := max_le hx0 hl
simp only [growth, one_div, Real.log_inv]
nlinarith [mul_le_mul_of_nonneg_left hmax hb0.le]
by_cases h : Real.exp (-x) ≤ s
· have h' := hi s h
nlinarith [mul_nonneg hx0 hexp.le]
· have h' := (growth_mono hx hs hexp.le (le_of_not_ge h)).trans (hi _ le_rfl)
nlinarith [mul_nonneg hx0 hs]
omit [Fintype V] in
lemma mass_union_le {w : V → ℝ} (hw : ∀ v, 0 ≤ w v) (A B : Finset V) :
mass w (A ∪ B) ≤ mass w A + mass w B := by
have h := sum_union_inter (s₁ := A) (s₂ := B) (f := w)
have hn := mass_nonneg hw (A ∩ B)
change 0 ≤ ∑ u ∈ A ∩ B, w u at hn
change (∑ u ∈ A ∪ B, w u) ≤ (∑ u ∈ A, w u) + ∑ u ∈ B, w u
linarith
end CliqueFreeIndependence.WeightedGraph
end
end OAI