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import Mathlib
import OAI.Computability.MaxCut.PCP.ExpanderFamily
import OAI.Computability.MaxCut.PCP.Overlay
namespace OAI
noncomputable section
namespace MaxCutGames.Foundations.PCP.ConstraintGraph
variable {V E A : Type*}
section Minimum
variable [Fintype V] [Fintype E] [Fintype A] [Nonempty A]
def rejectionCounts (G : ConstraintGraph V E A) : Finset Nat := by
classical
exact Finset.univ.image G.rejectionCount
theorem rejectionCounts_nonempty (G : ConstraintGraph V E A) :
G.rejectionCounts.Nonempty := by
classical
exact Finset.univ_nonempty.image G.rejectionCount
def minimumRejections (G : ConstraintGraph V E A) : Nat :=
G.rejectionCounts.min' G.rejectionCounts_nonempty
theorem minimumRejections_le (G : ConstraintGraph V E A) (labeling : V → A) :
G.minimumRejections ≤ G.rejectionCount labeling := by
classical
exact Finset.min'_le _ _ (Finset.mem_image.mpr ⟨labeling, Finset.mem_univ _, rfl⟩)
theorem exists_minimizer (G : ConstraintGraph V E A) :
∃ labeling : V → A, G.rejectionCount labeling = G.minimumRejections := by
classical
have h := Finset.min'_mem G.rejectionCounts G.rejectionCounts_nonempty
obtain ⟨labeling, _, heq⟩ := Finset.mem_image.mp h
exact ⟨labeling, heq⟩
theorem le_minimumRejections_iff (G : ConstraintGraph V E A) (bound : Nat) :
bound ≤ G.minimumRejections ↔ ∀ labeling : V → A, bound ≤ G.rejectionCount labeling := by
constructor
· intro h labeling
exact h.trans (G.minimumRejections_le labeling)
· intro h
obtain ⟨labeling, heq⟩ := G.exists_minimizer
rw [← heq]
exact h labeling
theorem minimumRejections_le_card (G : ConstraintGraph V E A) :
G.minimumRejections ≤ Fintype.card E := by
obtain ⟨labeling, heq⟩ := G.exists_minimizer
rw [← heq]
exact G.rejectionCount_le labeling
omit [Fintype V] [Fintype A] [Nonempty A] in
theorem rejectionCount_eq_zero_iff (G : ConstraintGraph V E A) (labeling : V → A) :
G.rejectionCount labeling = 0 ↔ ∀ e, G.edgeSatisfied labeling e = true := by
classical
constructor
· intro h e
have hempty : G.rejectedDarts labeling = ∅ := Finset.card_eq_zero.mp h
cases he : G.edgeSatisfied labeling e with
| false =>
have hm := (G.mem_rejectedDarts labeling e).mpr he
rw [hempty] at hm
simp at hm
| true => rfl
· intro h
simp [rejectionCount, rejectedDarts, h]
theorem minimumRejections_eq_zero_iff (G : ConstraintGraph V E A) :
G.minimumRejections = 0 ↔ G.Satisfiable := by
constructor
· intro h
obtain ⟨labeling, heq⟩ := G.exists_minimizer
exact ⟨labeling, (G.rejectionCount_eq_zero_iff labeling).mp (heq.trans h)⟩
· rintro ⟨labeling, h⟩
have hc := (G.rejectionCount_eq_zero_iff labeling).mpr h
exact Nat.eq_zero_of_le_zero (hc ▸ G.minimumRejections_le labeling)
def gap (G : ConstraintGraph V E A) : ℝ :=
(G.minimumRejections : ℝ) / Fintype.card E
theorem gap_nonnegative (G : ConstraintGraph V E A) : 0 ≤ G.gap :=
div_nonneg (Nat.cast_nonneg _) (Nat.cast_nonneg _)
theorem gap_le_one [Nonempty E] (G : ConstraintGraph V E A) : G.gap ≤ 1 := by
have he : (0 : ℝ) < Fintype.card E := by exact_mod_cast Fintype.card_pos
apply (div_le_iff₀ he).mpr
simpa only [one_mul] using (Nat.cast_le.mpr G.minimumRejections_le_card :
(G.minimumRejections : ℝ) ≤ (Fintype.card E : ℝ))
theorem gap_eq_zero_iff [Nonempty E] (G : ConstraintGraph V E A) :
G.gap = 0 ↔ G.Satisfiable := by
have he : (Fintype.card E : ℝ) ≠ 0 := by exact_mod_cast Fintype.card_ne_zero
simp only [gap, div_eq_zero_iff, he, or_false, Nat.cast_eq_zero]
exact G.minimumRejections_eq_zero_iff
/-- A lower bound on the actual minimum is exactly the universal count bound. -/
theorem le_gap_iff [Nonempty E] (G : ConstraintGraph V E A) (ε : ℝ) :
ε ≤ G.gap ↔ ∀ labeling : V → A,
ε * Fintype.card E ≤ (G.rejectionCount labeling : ℝ) := by
have he : (0 : ℝ) < Fintype.card E := by exact_mod_cast Fintype.card_pos
change ε ≤ (G.minimumRejections : ℝ) / Fintype.card E ↔ _
rw [le_div_iff₀ he]
constructor
· intro h labeling
exact h.trans (Nat.cast_le.mpr (G.minimumRejections_le labeling))
· intro h
obtain ⟨labeling, heq⟩ := G.exists_minimizer
simpa only [heq] using h labeling
theorem inverse_card_le_gap_of_unsatisfiable [Nonempty E]
(G : ConstraintGraph V E A) (unsat : ¬ G.Satisfiable) :
1 / (Fintype.card E : ℝ) ≤ G.gap := by
apply (G.le_gap_iff _).mpr
intro labeling
have he : (Fintype.card E : ℝ) ≠ 0 := by exact_mod_cast Fintype.card_ne_zero
have hc : (1 : ℝ) ≤ (G.rejectionCount labeling : ℝ) := by
exact_mod_cast G.rejectionCount_positive unsat labeling
simpa only [div_mul_cancel₀ _ he] using hc
end Minimum
variable {W D B : Type*}
/-- Explicit changes of vertex, dart, and label coordinates. -/
def reindex (G : ConstraintGraph V E A) (vertices : V ≃ W) (darts : E ≃ D)
(labels : A ≃ B) : ConstraintGraph W D B where
reverse := darts.symm.trans (G.reverse.trans darts)
reverse_involutive := by
intro d
change darts (G.reverse (darts.symm (darts (G.reverse (darts.symm d))))) = d
rw [darts.symm_apply_apply, G.reverse_involutive, darts.apply_symm_apply]
tail := fun d => vertices (G.tail (darts.symm d))
accepts := fun d a b => G.accepts (darts.symm d) (labels.symm a) (labels.symm b)
reverse_accepts := by
intro d a b
simpa only [Equiv.trans_apply, darts.symm_apply_apply] using
G.reverse_accepts (darts.symm d) (labels.symm a) (labels.symm b)
def labelingEquiv (vertices : V ≃ W) (labels : A ≃ B) : (V → A) ≃ (W → B) where
toFun := fun labeling w => labels (labeling (vertices.symm w))
invFun := fun labeling v => labels.symm (labeling (vertices v))
left_inv := by intro labeling; funext v; simp
right_inv := by intro labeling; funext w; simp
theorem reindex_edgeSatisfied (G : ConstraintGraph V E A)
(vertices : V ≃ W) (darts : E ≃ D) (labels : A ≃ B)
(labeling : V → A) (e : E) :
(G.reindex vertices darts labels).edgeSatisfied (labelingEquiv vertices labels labeling)
(darts e) = G.edgeSatisfied labeling e := by
simp [reindex, labelingEquiv, edgeSatisfied, head, Equiv.trans_apply]
theorem reindex_rejectionCount [Fintype E] [Fintype D] (G : ConstraintGraph V E A)
(vertices : V ≃ W) (darts : E ≃ D) (labels : A ≃ B) (labeling : V → A) :
(G.reindex vertices darts labels).rejectionCount (labelingEquiv vertices labels labeling) =
G.rejectionCount labeling := by
classical
unfold rejectionCount
symm
apply Finset.card_bij (fun e _ => darts e)
· intro e he
rw [mem_rejectedDarts, reindex_edgeSatisfied]
exact (G.mem_rejectedDarts labeling e).mp he
· intro e _ f _ h
exact darts.injective h
· intro d hd
refine ⟨darts.symm d, ?_, darts.apply_symm_apply d⟩
rw [mem_rejectedDarts]
rw [← reindex_edgeSatisfied G vertices darts labels labeling (darts.symm d)]
rw [darts.apply_symm_apply]
exact (mem_rejectedDarts _ _ _).mp hd
variable [Fintype V] [Fintype E] [Fintype A] [Nonempty A]
[Fintype W] [Fintype D] [Fintype B] [Nonempty B]
omit [Nonempty A] [Nonempty B] in
theorem rejectionCounts_reindex (G : ConstraintGraph V E A)
(vertices : V ≃ W) (darts : E ≃ D) (labels : A ≃ B) :
(G.reindex vertices darts labels).rejectionCounts = G.rejectionCounts := by
classical
ext n
simp only [rejectionCounts, Finset.mem_image, Finset.mem_univ, true_and]
constructor
· rintro ⟨labeling, hn⟩
refine ⟨(labelingEquiv vertices labels).symm labeling, ?_⟩
rw [← reindex_rejectionCount G vertices darts labels,
Equiv.apply_symm_apply]
exact hn
· rintro ⟨labeling, hn⟩
refine ⟨labelingEquiv vertices labels labeling, ?_⟩
rw [reindex_rejectionCount]
exact hn
theorem minimumRejections_reindex (G : ConstraintGraph V E A)
(vertices : V ≃ W) (darts : E ≃ D) (labels : A ≃ B) :
(G.reindex vertices darts labels).minimumRejections = G.minimumRejections := by
unfold minimumRejections
simp only [rejectionCounts_reindex]
theorem gap_reindex (G : ConstraintGraph V E A)
(vertices : V ≃ W) (darts : E ≃ D) (labels : A ≃ B) :
(G.reindex vertices darts labels).gap = G.gap := by
unfold gap
rw [minimumRejections_reindex, Fintype.card_congr darts]
theorem satisfiable_reindex (G : ConstraintGraph V E A)
(vertices : V ≃ W) (darts : E ≃ D) (labels : A ≃ B) :
(G.reindex vertices darts labels).Satisfiable ↔ G.Satisfiable := by
rw [← minimumRejections_eq_zero_iff, minimumRejections_reindex,
minimumRejections_eq_zero_iff]
end MaxCutGames.Foundations.PCP.ConstraintGraph
end
namespace MaxCutGames.Foundations.PCP.PreprocessingOverlayTables
open PoweringWalks
/-- Old ports precede expander ports. -/
def overlayPorts (d e : Nat) : (Fin d ⊕ Fin e) ≃ Fin (d + e) := finSumFinEquiv
@[simp] theorem overlayPorts_inl_val (d e : Nat) (i : Fin d) :
(overlayPorts d e (Sum.inl i)).val = i.val := rfl
@[simp] theorem overlayPorts_inr_val (d e : Nat) (i : Fin e) :
(overlayPorts d e (Sum.inr i)).val = d + i.val := rfl
/-- False/stay ports occupy rows `0,...,d-1`; true/move ports occupy
rows `d,...,2*d-1`, before the vertex offset is added. -/
def lazyPorts (d : Nat) : (Bool × Fin d) ≃ Fin (2 * d) :=
(Equiv.prodCongr finTwoEquiv.symm (Equiv.refl (Fin d))).trans finProdFinEquiv
@[simp] theorem lazyPorts_false_val (d : Nat) (i : Fin d) :
(lazyPorts d (false, i)).val = i.val := by
simp [lazyPorts, finTwoEquiv, finProdFinEquiv]
@[simp] theorem lazyPorts_true_val (d : Nat) (i : Fin d) :
(lazyPorts d (true, i)).val = i.val + d := by
simp [lazyPorts, finTwoEquiv, finProdFinEquiv]
/-- Materialize explicitly supplied pair-dart semantics in numbered port
coordinates. The executable rotation only conjugates `G.reverse` by `ports`.
The hypothesis about reversal affects proofs, not stored data. -/
def materialize {n d : Nat} {D : Type*}
(G : ConstraintGraph (Fin n) (Fin n × D) PortTables.Label)
(ports : D ≃ Fin d) : PortTables.Table n d :=
PortTables.ofPortGraph
(GraphTransport.reindex (Overlay.originalPortGraph G) (Equiv.refl _) ports)
(fun x a b => G.accepts (x.1, ports.symm x.2) a b)
(by
intro x a b
simp only [GraphTransport.reindex, Overlay.originalPortGraph,
Equiv.trans_apply, Equiv.prodCongr_apply, Equiv.prodCongr_symm,
Equiv.refl_apply, Equiv.symm_apply_apply, Prod.map]
convert G.reverse_accepts (x.1, ports.symm x.2) a b using 1 ; rfl)
theorem rotation_materialize {n d : Nat} {D : Type*}
(G : ConstraintGraph (Fin n) (Fin n × D) PortTables.Label)
(ports : D ≃ Fin d) (x : Fin n × Fin d) :
PortTables.rotation (materialize G ports) x =
((G.reverse (x.1, ports.symm x.2)).1,
ports (G.reverse (x.1, ports.symm x.2)).2) := by
simp only [materialize, PortTables.rotation_ofPortGraph, GraphTransport.reindex,
Overlay.originalPortGraph, Equiv.trans_apply, Equiv.prodCongr_apply,
Equiv.prodCongr_symm, Equiv.refl_apply, Prod.map]
rfl
theorem rotation_materialize_image {n d : Nat} {D : Type*}
(G : ConstraintGraph (Fin n) (Fin n × D) PortTables.Label)
(ports : D ≃ Fin d) (v : Fin n) (i : D) :
PortTables.rotation (materialize G ports) (v, ports i) =
((G.reverse (v, i)).1, ports (G.reverse (v, i)).2) := by
rw [rotation_materialize, Equiv.symm_apply_apply]
@[simp] theorem accepts_materialize {n d : Nat} {D : Type*}
(G : ConstraintGraph (Fin n) (Fin n × D) PortTables.Label)
(ports : D ≃ Fin d) (x : Fin n × Fin d) (a b : PortTables.Label) :
PortTables.accepts (materialize G ports) x a b =
G.accepts (x.1, ports.symm x.2) a b := by
exact PortTables.accepts_ofPortGraph _ _ _ x a b
private theorem constraintGraph_ext_inline_PreprocessingOverlayTables {V E A : Type*} {G H : ConstraintGraph V E A}
(hreverse : ∀ e, G.reverse e = H.reverse e)
(htail : ∀ e, G.tail e = H.tail e)
(haccepts : ∀ e a b, G.accepts e a b = H.accepts e a b) : G = H := by
rcases G with ⟨r, hi, t, p, hp⟩
rcases H with ⟨r', hi', t', p', hp'⟩
have hr : r = r' := Equiv.ext hreverse
cases hr
have ht : t = t' := funext htail
cases ht
have ha : p = p' := funext fun e => funext fun a => funext fun b => haccepts e a b
cases ha
rfl
theorem baseGraph_materialize {n d : Nat} {D : Type*}
(G : ConstraintGraph (Fin n) (Fin n × D) PortTables.Label)
(ports : D ≃ Fin d) (htail : G.tail = Prod.fst) :
PortTables.baseGraph (materialize G ports) =
G.reindex (Equiv.refl _) (Equiv.prodCongr (Equiv.refl _) ports) (Equiv.refl _) := by
apply constraintGraph_ext_inline_PreprocessingOverlayTables
· intro x
rw [PortTables.baseGraph_reverse, rotation_materialize]
rfl
· intro x
change x.1 = G.tail (x.1, ports.symm x.2)
rw [htail]
· intro x a b
rw [PortTables.baseGraph_accepts, accepts_materialize]
rfl
/-- Add the expander's stored ports; every new constraint always accepts. -/
def overlay {n d e : Nat} (G : PortTables.Table n d) (H : ExpanderTables.Table n e) :
PortTables.Table n (d + e) :=
materialize (Overlay.constraintGraph (PortTables.baseGraph G) (ExpanderTables.graph H))
(overlayPorts d e)
theorem overlay_rotation_old {n d e : Nat} (G : PortTables.Table n d)
(H : ExpanderTables.Table n e) (v : Fin n) (i : Fin d) :
PortTables.rotation (overlay G H) (v, overlayPorts d e (Sum.inl i)) =
((PortTables.rotation G (v, i)).1,
overlayPorts d e (Sum.inl (PortTables.rotation G (v, i)).2)) := by
exact rotation_materialize_image _ _ v (Sum.inl i)
theorem overlay_rotation_expander {n d e : Nat} (G : PortTables.Table n d)
(H : ExpanderTables.Table n e) (v : Fin n) (i : Fin e) :
PortTables.rotation (overlay G H) (v, overlayPorts d e (Sum.inr i)) =
((ExpanderTables.lookup H (v, i)).1,
overlayPorts d e (Sum.inr (ExpanderTables.lookup H (v, i)).2)) := by
exact rotation_materialize_image _ _ v (Sum.inr i)
@[simp] theorem overlay_accepts_old {n d e : Nat} (G : PortTables.Table n d)
(H : ExpanderTables.Table n e) (v : Fin n) (i : Fin d) (a b : PortTables.Label) :
PortTables.accepts (overlay G H) (v, overlayPorts d e (Sum.inl i)) a b =
PortTables.accepts G (v, i) a b := by
simp only [overlay, accepts_materialize, Equiv.symm_apply_apply]
rfl
@[simp] theorem overlay_accepts_expander {n d e : Nat} (G : PortTables.Table n d)
(H : ExpanderTables.Table n e) (v : Fin n) (i : Fin e) (a b : PortTables.Label) :
PortTables.accepts (overlay G H) (v, overlayPorts d e (Sum.inr i)) a b = true := by
simp only [overlay, accepts_materialize, Equiv.symm_apply_apply]
rfl
theorem overlay_semantics {n d e : Nat} (G : PortTables.Table n d)
(H : ExpanderTables.Table n e) :
PortTables.baseGraph (overlay G H) =
(Overlay.constraintGraph (PortTables.baseGraph G) (ExpanderTables.graph H)).reindex
(Equiv.refl _) (Equiv.prodCongr (Equiv.refl _) (overlayPorts d e))
(Equiv.refl _) :=
baseGraph_materialize _ _ rfl
def lazy {n d : Nat} (G : PortTables.Table n d) : PortTables.Table n (2 * d) :=
materialize (LazyConstraint.constraintGraph (PortTables.baseGraph G)) (lazyPorts d)
theorem lazy_rotation_false {n d : Nat} (G : PortTables.Table n d)
(v : Fin n) (i : Fin d) :
PortTables.rotation (lazy G) (v, lazyPorts d (false, i)) =
(v, lazyPorts d (false, i)) := by
exact rotation_materialize_image _ _ v (false, i)
theorem lazy_rotation_true {n d : Nat} (G : PortTables.Table n d)
(v : Fin n) (i : Fin d) :
PortTables.rotation (lazy G) (v, lazyPorts d (true, i)) =
((PortTables.rotation G (v, i)).1,
lazyPorts d (true, (PortTables.rotation G (v, i)).2)) := by
exact rotation_materialize_image _ _ v (true, i)
@[simp] theorem lazy_accepts_false {n d : Nat} (G : PortTables.Table n d)
(v : Fin n) (i : Fin d) (a b : PortTables.Label) :
PortTables.accepts (lazy G) (v, lazyPorts d (false, i)) a b = true := by
simp only [lazy, accepts_materialize, Equiv.symm_apply_apply]
rfl
@[simp] theorem lazy_accepts_true {n d : Nat} (G : PortTables.Table n d)
(v : Fin n) (i : Fin d) (a b : PortTables.Label) :
PortTables.accepts (lazy G) (v, lazyPorts d (true, i)) a b =
PortTables.accepts G (v, i) a b := by
simp only [lazy, accepts_materialize, Equiv.symm_apply_apply]
rfl
theorem lazy_semantics {n d : Nat} (G : PortTables.Table n d) :
PortTables.baseGraph (lazy G) =
(LazyConstraint.constraintGraph (PortTables.baseGraph G)).reindex
(Equiv.refl _) (Equiv.prodCongr (Equiv.refl _) (lazyPorts d)) (Equiv.refl _) :=
baseGraph_materialize _ _ rfl
end MaxCutGames.Foundations.PCP.PreprocessingOverlayTables
/-!
Actual finite counting for rounding copied dart labels. Minority color classes
are small enough for the cloud's directed-cut expansion. Their boundary darts
inject into all label disagreements. A separate endpoint charge counts at
most two affected original darts per changed copied label.
-/
namespace MaxCutGames.Foundations.PCP.CloudRounding
open scoped BigOperators
theorem dart_rejection_count_le
{E V A : Type*} [Fintype E] [DecidableEq A]
(tail : E → V) (reverse : E ≃ E) (accepts : E → A → A → Bool)
(ell : E → A) (rounded : V → A) :
(Finset.univ.filter (fun e =>
accepts e (rounded (tail e)) (rounded (tail (reverse e))) = false)).card ≤
(Finset.univ.filter (fun e => accepts e (ell e) (ell (reverse e)) = false)).card +
2 * (Finset.univ.filter (fun e => ell e ≠ rounded (tail e))).card := by
classical
let R : Finset E := Finset.univ.filter (fun e =>
accepts e (rounded (tail e)) (rounded (tail (reverse e))) = false)
let B : Finset E := Finset.univ.filter (fun e =>
accepts e (ell e) (ell (reverse e)) = false)
let M : Finset E := Finset.univ.filter (fun e => ell e ≠ rounded (tail e))
let MR : Finset E := Finset.univ.filter (fun e =>
ell (reverse e) ≠ rounded (tail (reverse e)))
have hrev : MR.card = M.card := by
have hsets : MR = M.map reverse.symm.toEmbedding := by
ext e
constructor
· intro he
apply Finset.mem_map.mpr
refine ⟨reverse e, ?_, reverse.symm_apply_apply e⟩
simpa [MR, M] using he
· intro he
obtain ⟨d, hd, rfl⟩ := Finset.mem_map.mp he
simpa [MR, M] using hd
rw [hsets, Finset.card_map]
have hsub : R ⊆ (B ∪ M) ∪ MR := by
intro e he
by_cases hl : ell e = rounded (tail e)
· by_cases hr : ell (reverse e) = rounded (tail (reverse e))
· have hb : e ∈ B := by simpa [B, R, hl, hr] using he
exact Finset.mem_union_left _ (Finset.mem_union_left _ hb)
· exact Finset.mem_union_right _ (by simp [MR, hr])
· exact Finset.mem_union_left _ (Finset.mem_union_right _ (by simp [M, hl]))
change R.card ≤ B.card + 2 * M.card
calc
R.card ≤ ((B ∪ M) ∪ MR).card := Finset.card_le_card hsub
_ ≤ (B ∪ M).card + MR.card := Finset.card_union_le _ _
_ ≤ (B.card + M.card) + MR.card :=
Nat.add_le_add_right (Finset.card_union_le B M) _
_ = B.card + 2 * M.card := by rw [hrev]; omega
section CloudCounts
variable {X A D : Type*} [Fintype X] [Fintype A] [Fintype D]
variable [DecidableEq X] [DecidableEq A]
def colorSet (ell : X → A) (a : A) : Finset X :=
Finset.univ.filter (fun x => ell x = a)
def minoritySet (ell : X → A) (m : A) : Finset X :=
Finset.univ.filter (fun x => ell x ≠ m)
def directedCut (next : X × D → X) (S : Finset X) : Finset (X × D) :=
Finset.univ.filter (fun xd => xd.1 ∈ S ∧ next xd ∉ S)
def disagreementSet (ell : X → A) (next : X × D → X) : Finset (X × D) :=
Finset.univ.filter (fun xd => ell xd.1 ≠ ell (next xd))
abbrev Nonmajor (m : A) := {a : A // a ≠ m}
omit [DecidableEq X] in
theorem exists_max_color (ell : X → A) [Nonempty A] :
∃ m : A, ∀ a, (colorSet ell a).card ≤ (colorSet ell m).card := by
classical
obtain ⟨m, _, hm⟩ := Finset.exists_max_image Finset.univ
(fun a : A => (colorSet ell a).card) Finset.univ_nonempty
exact ⟨m, fun a => hm a (Finset.mem_univ a)⟩
noncomputable def majority (ell : X → A) [Nonempty A] : A :=
Classical.choose (exists_max_color ell)
omit [DecidableEq X] in
theorem majority_maximal (ell : X → A) [Nonempty A] (a : A) :
(colorSet ell a).card ≤ (colorSet ell (majority ell)).card :=
Classical.choose_spec (exists_max_color ell) a
omit [Fintype A] in
/-- Every nonchosen color occupies at most half the cloud. -/
theorem nonchosen_color_twice_le (ell : X → A) (m : A)
(maximal : ∀ a, (colorSet ell a).card ≤ (colorSet ell m).card)
(a : A) (ha : a ≠ m) :
2 * (colorSet ell a).card ≤ Fintype.card X := by
have hd : Disjoint (colorSet ell a) (colorSet ell m) := by
apply Finset.disjoint_left.mpr
intro x hx hm
have hxa : ell x = a := by simpa [colorSet] using hx
have hxm : ell x = m := by simpa [colorSet] using hm
exact ha (hxa.symm.trans hxm)
have hu : (colorSet ell a).card + (colorSet ell m).card ≤ Fintype.card X := by
calc
_ = (colorSet ell a ∪ colorSet ell m).card :=
(Finset.card_union_of_disjoint hd).symm
_ ≤ Finset.univ.card := Finset.card_le_card (Finset.subset_univ _)
_ = Fintype.card X := Finset.card_univ
have hm := maximal a
omega
def minorityEquiv (ell : X → A) (m : A) :
(Σ a : Nonmajor m, ↥(colorSet ell a.val)) ≃ ↥(minoritySet ell m) where
toFun t := ⟨t.2.val, by
have hc : ell t.2.val = t.1.val := (Finset.mem_filter.mp t.2.property).2
have hn : ell t.2.val ≠ m := fun h => t.1.property (hc.symm.trans h)
simpa [minoritySet] using hn⟩
invFun x :=
⟨⟨ell x.val, by simpa [minoritySet] using x.property⟩,
⟨x.val, by simp [colorSet]⟩⟩
left_inv t := by
rcases t with ⟨⟨a, ha⟩, ⟨x, hx⟩⟩
have hxa : ell x = a := by simpa [colorSet] using hx
cases hxa
rfl
right_inv x := by apply Subtype.ext; rfl
omit [DecidableEq X] in
theorem minority_card_eq_sum (ell : X → A) (m : A) :
(minoritySet ell m).card = ∑ a : Nonmajor m, (colorSet ell a.val).card := by
have h := Fintype.card_congr (minorityEquiv ell m)
simpa only [Fintype.card_sigma, Fintype.card_coe] using h.symm
/-- The tail label determines the forgotten minority color. -/
def minorityCutEmbedding (ell : X → A) (next : X × D → X) (m : A) :
(Σ a : Nonmajor m, ↥(directedCut next (colorSet ell a.val))) ↪
↥(disagreementSet ell next) where
toFun t := ⟨t.2.val, by
have hc : ell t.2.val.1 = t.1.val ∧ ell (next t.2.val) ≠ t.1.val := by
simpa [directedCut, colorSet] using t.2.property
have hn : ell t.2.val.1 ≠ ell (next t.2.val) :=
fun h => hc.2 (h.symm.trans hc.1)
simpa [disagreementSet] using hn⟩
inj' p q h := by
rcases p with ⟨⟨a, ha⟩, ⟨x, hx⟩⟩
rcases q with ⟨⟨b, hb⟩, ⟨y, hy⟩⟩
have hxy : x = y := congrArg Subtype.val h
cases hxy
have hxa : ell x.1 = a := by
have hc : ell x.1 = a ∧ ell (next x) ≠ a := by
simpa [directedCut, colorSet] using hx
exact hc.1
have hxb : ell x.1 = b := by
have hc : ell x.1 = b ∧ ell (next x) ≠ b := by
simpa [directedCut, colorSet] using hy
exact hc.1
have hab : a = b := hxa.symm.trans hxb
cases hab
rfl
theorem minority_cut_sum_le (ell : X → A) (next : X × D → X) (m : A) :
(∑ a : Nonmajor m, (directedCut next (colorSet ell a.val)).card) ≤
(disagreementSet ell next).card := by
have h := Fintype.card_le_of_injective
(minorityCutEmbedding ell next m) (minorityCutEmbedding ell next m).injective
simpa only [Fintype.card_sigma, Fintype.card_coe] using h
/-- Sum genuine directed-cut expansion over the nonchosen color classes. -/
theorem minority_expansion_bound (ell : X → A) (next : X × D → X) (m : A)
(h : ℚ)
(maximal : ∀ a, (colorSet ell a).card ≤ (colorSet ell m).card)
(expansion : ∀ S : Finset X, S.card ≤ Fintype.card X / 2 →
h * (S.card : ℚ) ≤ ((directedCut next S).card : ℚ)) :
h * ((minoritySet ell m).card : ℚ) ≤ ((disagreementSet ell next).card : ℚ) := by
have each (a : Nonmajor m) :
h * ((colorSet ell a.val).card : ℚ) ≤
((directedCut next (colorSet ell a.val)).card : ℚ) := by
apply expansion
have ha := nonchosen_color_twice_le ell m maximal a.val a.property
omega
calc
h * ((minoritySet ell m).card : ℚ) =
∑ a : Nonmajor m, h * ((colorSet ell a.val).card : ℚ) := by
rw [minority_card_eq_sum, Nat.cast_sum, Finset.mul_sum]
_ ≤ ∑ a : Nonmajor m, ((directedCut next (colorSet ell a.val)).card : ℚ) :=
Finset.sum_le_sum (fun a _ => each a)
_ ≤ ((disagreementSet ell next).card : ℚ) := by
exact_mod_cast minority_cut_sum_le ell next m
end CloudCounts
section GraphRounding
open DegreeReplacement PoweringWalks
variable {V E A D : Type*} [Fintype V] [Fintype E] [Fintype A] [Fintype D]
variable [DecidableEq V] [DecidableEq E] [DecidableEq A]
def mismatchSet (G : ConstraintGraph V E A) (ell : E → A) (rounded : V → A) :
Finset E :=
Finset.univ.filter (fun e => ell e ≠ rounded (G.tail e))
def copiedRejectionCount (G : ConstraintGraph V E A) (ell : E → A) : Nat :=
(Finset.univ.filter (fun e => G.accepts e (ell e) (ell (G.reverse e)) = false)).card
def innerDisagreementSet (G : ConstraintGraph V E A)
(H : ∀ v, PortGraph (Cloud G v) D) (ell : E → A) : Finset (E × D) :=
Finset.univ.filter (fun ed => ell ed.1 ≠ ell (innerRotation G H ed).1)
noncomputable def roundLabels [Nonempty A]
(G : ConstraintGraph V E A) (ell : E → A) : V → A :=
fun v => majority (fun e : Cloud G v => ell e.val)
/-- Every changed dart belongs to precisely one tail fiber. -/
def mismatchFiberEquiv (G : ConstraintGraph V E A) (ell : E → A)
(rounded : V → A) :
(Σ v, ↥(minoritySet (fun e : Cloud G v => ell e.val) (rounded v))) ≃
↥(mismatchSet G ell rounded) where
toFun := by
rintro ⟨v, ⟨⟨e, he⟩, hbad⟩⟩
cases he
exact ⟨e, by simpa [mismatchSet, minoritySet] using hbad⟩
invFun e :=
⟨G.tail e.val, ⟨⟨e.val, rfl⟩, by
simpa [mismatchSet, minoritySet] using e.property⟩⟩
left_inv := by
rintro ⟨v, ⟨⟨e, he⟩, hbad⟩⟩
cases he
rfl
right_inv := by intro e; apply Subtype.ext; rfl
omit [Fintype A] [DecidableEq E] in
theorem mismatch_card_eq_sum (G : ConstraintGraph V E A) (ell : E → A)
(rounded : V → A) :
(mismatchSet G ell rounded).card =
∑ v, (minoritySet (fun e : Cloud G v => ell e.val) (rounded v)).card := by
have h := Fintype.card_congr (mismatchFiberEquiv G ell rounded)
simpa only [Fintype.card_sigma, Fintype.card_coe] using h.symm
/-- A cloud disagreement is the same actual internal dart in global coordinates. -/
def disagreementFiberEquiv (G : ConstraintGraph V E A)
(H : ∀ v, PortGraph (Cloud G v) D) (ell : E → A) :
(Σ v, ↥(disagreementSet (fun e : Cloud G v => ell e.val)
(fun ed => ((H v).rot ed).1))) ≃ ↥(innerDisagreementSet G H ell) where
toFun := by
rintro ⟨v, ⟨⟨⟨e, he⟩, d⟩, hbad⟩⟩
cases he
refine ⟨(e, d), ?_⟩
simpa [disagreementSet, innerDisagreementSet, innerRotation,
cloudIndexEquiv, cloudRotation] using hbad
invFun := by
rintro ⟨⟨e, d⟩, hbad⟩
refine ⟨G.tail e, ⟨(⟨e, rfl⟩, d), ?_⟩⟩
simpa [disagreementSet, innerDisagreementSet, innerRotation,
cloudIndexEquiv, cloudRotation] using hbad
left_inv := by
rintro ⟨v, ⟨⟨⟨e, he⟩, d⟩, hbad⟩⟩
cases he
rfl
right_inv := by intro ed; apply Subtype.ext; rfl
omit [Fintype A] [DecidableEq E] in
theorem disagreement_card_eq_sum (G : ConstraintGraph V E A)
(H : ∀ v, PortGraph (Cloud G v) D) (ell : E → A) :
(innerDisagreementSet G H ell).card =
∑ v, (disagreementSet (fun e : Cloud G v => ell e.val)
(fun ed => ((H v).rot ed).1)).card := by
have h := Fintype.card_congr (disagreementFiberEquiv G H ell)
simpa only [Fintype.card_sigma, Fintype.card_coe] using h.symm
/-- No uniform cloud-size hypothesis occurs in this finite sum. -/
theorem rounded_mismatch_expansion [Nonempty A]
(G : ConstraintGraph V E A) (H : ∀ v, PortGraph (Cloud G v) D)
(ell : E → A) (h : ℚ)
(expansion : ∀ v (S : Finset (Cloud G v)),
S.card ≤ Fintype.card (Cloud G v) / 2 →
h * (S.card : ℚ) ≤ ((directedCut (fun ed => ((H v).rot ed).1) S).card : ℚ)) :
h * ((mismatchSet G ell (roundLabels G ell)).card : ℚ) ≤
((innerDisagreementSet G H ell).card : ℚ) := by
rw [mismatch_card_eq_sum, disagreement_card_eq_sum, Nat.cast_sum, Nat.cast_sum,
Finset.mul_sum]
apply Finset.sum_le_sum
intro v _
exact minority_expansion_bound (fun e : Cloud G v => ell e.val)
(fun ed => ((H v).rot ed).1) (roundLabels G ell v) h
(majority_maximal (fun e : Cloud G v => ell e.val)) (expansion v)
omit [Fintype V] [Fintype A] [DecidableEq V] [DecidableEq E] in
theorem rounded_endpoint_bound (G : ConstraintGraph V E A)
(ell : E → A) (rounded : V → A) :
G.rejectionCount rounded ≤ copiedRejectionCount G ell +
2 * (mismatchSet G ell rounded).card :=
dart_rejection_count_le G.tail G.reverse G.accepts ell rounded
omit [Fintype V] [Fintype E] [Fintype A] [Fintype D] [DecidableEq V] [DecidableEq E] in
@[simp] theorem copied_satisfied_inl (G : ConstraintGraph V E A)
(H : ∀ v, PortGraph (Cloud G v) D) (ell : E → A) (e : E) (d : D) :
(replacementGraph G H).edgeSatisfied ell (e, Sum.inl d) =
decide (ell e = ell (innerRotation G H (e, d)).1) := rfl
omit [Fintype V] [Fintype E] [Fintype A] [Fintype D] [DecidableEq V] [DecidableEq E] in
@[simp] theorem copied_satisfied_inr (G : ConstraintGraph V E A)
(H : ∀ v, PortGraph (Cloud G v) D) (ell : E → A) (e : E) (u : Unit) :
(replacementGraph G H).edgeSatisfied ell (e, Sum.inr u) =
G.accepts e (ell e) (ell (G.reverse e)) := rfl
omit [Fintype V] [Fintype A] [DecidableEq V] [DecidableEq E] in
/-- Exact rejection count for arbitrary copied labels, including cloud violations. -/
theorem replacement_rejection_split (G : ConstraintGraph V E A)
(H : ∀ v, PortGraph (Cloud G v) D) (ell : E → A) :
(replacementGraph G H).rejectionCount ell =
copiedRejectionCount G ell + (innerDisagreementSet G H ell).card := by
classical
simp only [rejectionCount_eq_sum, Fintype.sum_prod_type, Fintype.sum_sum_type,
copied_satisfied_inl, copied_satisfied_inr, decide_eq_false_iff_not,
Fintype.sum_unique, Finset.sum_add_distrib]
simp only [copiedRejectionCount, innerDisagreementSet, Finset.card_eq_sum_ones,
Finset.sum_filter, Fintype.sum_prod_type]
exact Nat.add_comm _ _
/-- Directed expansion by two pays for both changed endpoints exactly. -/
theorem replacement_soundness [Nonempty A]
(G : ConstraintGraph V E A) (H : ∀ v, PortGraph (Cloud G v) D)
(expansion : ∀ v (S : Finset (Cloud G v)),
S.card ≤ Fintype.card (Cloud G v) / 2 →
2 * S.card ≤ (directedCut (fun ed => ((H v).rot ed).1) S).card)
(ell : E → A) :
G.rejectionCount (roundLabels G ell) ≤ (replacementGraph G H).rejectionCount ell := by
have hc := rounded_mismatch_expansion G H ell 2 (by
intro v S hS
exact_mod_cast expansion v S hS)
have hcNat : 2 * (mismatchSet G ell (roundLabels G ell)).card ≤
(innerDisagreementSet G H ell).card := by exact_mod_cast hc
rw [replacement_rejection_split]
exact (rounded_endpoint_bound G ell (roundLabels G ell)).trans
(Nat.add_le_add_left hcNat _)
/-- Padding changes the normalization, but never the rounded absolute rejection count. -/
theorem padded_replacement_soundness [Nonempty A]
(G : ConstraintGraph V E A) (dummy : V → Type*) [∀ v, Fintype (dummy v)]
[∀ v, DecidableEq (dummy v)]
(H : ∀ v, PortGraph (Cloud (paddedGraph G dummy) v) D)
(expansion : ∀ v (S : Finset (Cloud (paddedGraph G dummy) v)),
S.card ≤ Fintype.card (Cloud (paddedGraph G dummy) v) / 2 →
2 * S.card ≤ (directedCut (fun ed => ((H v).rot ed).1) S).card)
(ell : PaddedDart G dummy → A) :
G.rejectionCount (roundLabels (paddedGraph G dummy) ell) ≤
(paddedReplacementGraph G dummy H).rejectionCount ell := by
simpa only [paddedReplacementGraph, padded_rejectionCount] using
replacement_soundness (paddedGraph G dummy) H expansion ell
end GraphRounding
/-- The exact coefficient obtained by combining endpoint charging and expansion. -/
theorem combine_counts (R b M c : Nat) (h : ℚ) (hh : 0 < h)
(endpoint : R ≤ b + 2 * M) (cloud : h * (M : ℚ) ≤ (c : ℚ)) :
(R : ℚ) ≤ max 1 (2 / h) * ((b : ℚ) + (c : ℚ)) := by
let K : ℚ := max 1 (2 / h)
have hK : 1 ≤ K := le_max_left _ _
have hK0 : 0 ≤ K := le_trans zero_le_one hK
have hcoef : 2 ≤ K * h := (div_le_iff₀ hh).mp (le_max_right _ _)
have hm : (2 : ℚ) * M ≤ K * c := by
calc
(2 : ℚ) * M ≤ (K * h) * M :=
mul_le_mul_of_nonneg_right hcoef (Nat.cast_nonneg M)
_ = K * (h * M) := mul_assoc _ _ _
_ ≤ K * c := mul_le_mul_of_nonneg_left cloud hK0
have hb : (b : ℚ) ≤ K * b := by
simpa only [one_mul] using mul_le_mul_of_nonneg_right hK (Nat.cast_nonneg b)
have hr : (R : ℚ) ≤ (b : ℚ) + 2 * (M : ℚ) := by exact_mod_cast endpoint
exact hr.trans ((add_le_add hb hm).trans_eq (mul_add K (b : ℚ) (c : ℚ)).symm)
end MaxCutGames.Foundations.PCP.CloudRounding
end OAI