openAI-math-dataset / lean /OAI /Computability /VertexCover /Reduction /HonestLargeSumIndependent.lean
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Add lean source and binary files (part 64)
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import Mathlib
import OAI.Computability.VertexCover.Reduction.IncrementNorm
namespace OAI
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namespace VertexCover.LabelCover
def gridRational (d : ℕ) (v : Fin (2*d+1)) : ℚ :=
2 * ((v.val : ℚ) - d) / (2*d+1)
abbrev Vertex (Φ : LabelCover) (d : ℕ) :=
Φ.Seeds d × (Fin d → Fin (Φ.WeightDimension d) → Fin (2*d+1))
noncomputable def sumVector (Φ : LabelCover) {d : ℕ} (v : Φ.Vertex d) :
Φ.Coordinate d → ℝ :=
∑ j, Φ.increment (Φ.query v.1 j) (fun k => (gridRational d (v.2 j k) : ℝ))
noncomputable def graph (Φ : LabelCover) (d : ℕ) (t : ℝ) : SimpleGraph (Φ.Vertex d) where
Adj v w := v ≠ w ∧ Φ.compatibilityNorm (Φ.sumVector v + Φ.sumVector w) ≤ 2*t
symm := ⟨by intro v w h; exact ⟨h.1.symm, by simpa only [add_comm] using h.2⟩⟩
loopless := ⟨by intro v h; exact h.1 rfl⟩
theorem low_norm_adjacent (Φ : LabelCover) {d : ℕ} {t : ℝ} {v w : Φ.Vertex d}
(hne : v ≠ w) (hv : Φ.compatibilityNorm (Φ.sumVector v) ≤ t)
(hw : Φ.compatibilityNorm (Φ.sumVector w) ≤ t) : (Φ.graph d t).Adj v w := by
refine ⟨hne, (Φ.norm_add_le _ _).trans ?_⟩
linarith
theorem low_norm_subsingleton (Φ : LabelCover) {d : ℕ} {t : ℝ}
(A : Set (Φ.Vertex d)) (hA : (Φ.graph d t).IsIndepSet A) :
{v ∈ A | Φ.compatibilityNorm (Φ.sumVector v) ≤ t}.Subsingleton := by
intro v hv w hw
by_contra hne
exact ((SimpleGraph.isIndepSet_iff _).mp hA hv.1 hw.1 hne)
(Φ.low_norm_adjacent hne hv.2 hw.2)
theorem honestSelection_form_increment (Φ : LabelCover) {d : ℕ}
(A : Φ.Labeling) (hA : ∀ c, Φ.Satisfies A c) (i : Φ.Query d)
(s : Fin (Φ.WeightDimension d) → ℝ) :
∑ p ∈ Φ.honestSelection A hA d, Φ.increment i s p =
s (i.slot (Φ.localOfSatisfying A hA i)) := by
classical
unfold honestSelection
rw [Finset.sum_image]
· have hz : ∀ j : Φ.Query d, Φ.increment i s ⟨j, Φ.localOfSatisfying A hA j⟩ =
if j = i then s (i.slot (Φ.localOfSatisfying A hA i)) else 0 := by
intro j
split_ifs with h
· subst j; exact Φ.increment_same _ _ _
· exact Φ.increment_other _ _ _ h
simp only [hz]
simp
· intro i _ j _ h
exact congrArg Sigma.fst h
noncomputable def honestSum (Φ : LabelCover) {d : ℕ} (A : Φ.Labeling)
(hA : ∀ c, Φ.Satisfies A c) (v : Φ.Vertex d) : ℝ :=
∑ j, (gridRational d (v.2 j ((Φ.query v.1 j).slot
(Φ.localOfSatisfying A hA (Φ.query v.1 j)))) : ℝ)
theorem honestSelection_form_sumVector (Φ : LabelCover) {d : ℕ}
(A : Φ.Labeling) (hA : ∀ c, Φ.Satisfies A c) (v : Φ.Vertex d) :
∑ p ∈ Φ.honestSelection A hA d, Φ.sumVector v p = Φ.honestSum A hA v := by
classical
simp only [sumVector, Finset.sum_apply]
rw [Finset.sum_comm]
simp only [honestSelection_form_increment, honestSum]
theorem honest_large_sum_independent (Φ : LabelCover) {d : ℕ} (t : ℝ)
(A : Φ.Labeling) (hA : ∀ c, Φ.Satisfies A c) :
(Φ.graph d t).IsIndepSet {v | t < Φ.honestSum A hA v} := by
rw [SimpleGraph.isIndepSet_iff]
intro v hv w hw _ hadj
have hform := Φ.form_le_norm (Φ.sumVector v + Φ.sumVector w)
(Φ.honestSelection A hA d) (Φ.honestSelection_compatible A hA d)
simp only [Pi.add_apply, Finset.sum_add_distrib, honestSelection_form_sumVector] at hform
have hsum := (le_abs_self (Φ.honestSum A hA v + Φ.honestSum A hA w)).trans
(hform.trans hadj.2)
change t < Φ.honestSum A hA v at hv
change t < Φ.honestSum A hA w at hw
linarith
end VertexCover.LabelCover
end
end
end
end
end
end
end
end
end
end
end
end
end
end
end
end
end
end
end
end
end
end
end
end
end
end
end
end
end
end
end
end
end OAI