openAI-math-dataset / lean /OAI /Computability /MaxCut /PCP /ExpanderRowControl.lean
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import Mathlib
import OAI.Computability.MaxCut.PCP.ExpanderFamily
namespace OAI
namespace MaxCutGames.Foundations.PCP.ExpanderRowControl
open ExpanderTables
abbrev degree (d : Nat) : Nat := d * d
abbrev cloudSize (d : Nat) : Nat := degree d * degree d
abbrev rowFactor (d : Nat) : Nat := cloudSize d * degree d
/-- The encoded vertex of `firstH` already stores both square ports.
The two graph-return registers and final-H register are overwritten by the
corresponding callbacks. Every field is bounded independently of table size. -/
structure Control (d : Nat) where
firstH : Fin (cloudSize d) × Fin d
lastInput : Fin d
firstG : Fin (degree d)
secondG : Fin (degree d)
lastH : Fin (cloudSize d) × Fin d
deriving DecidableEq, Fintype
def squarePorts {d : Nat} (s : Control d) : Fin (degree d) × Fin (degree d) :=
(rowIndex (degree d) (degree d)).symm s.firstH.1
/-- Consume the finite cloud coordinate and input port, and perform the first
lookup in the fixed table. Initial register values need no inhabitance choice. -/
def start {d : Nat} (H : Table (cloudSize d) d)
(cloud : Fin (cloudSize d)) (port : Fin (degree d)) : Control d :=
let ports := (rowIndex d d).symm port
let first := lookup H (cloud, ports.1)
let square := (rowIndex (degree d) (degree d)).symm first.1
{ firstH := first
lastInput := ports.2
firstG := square.1
secondG := square.2
lastH := first }
def receiveFirst {d : Nat} (s : Control d) (returnedPort : Fin (degree d)) : Control d :=
{ s with firstG := returnedPort }
/-- The second graph remainder completes the final lookup in the fixed table.
The square return ports are ordered second, first, as in `stepLookup`. -/
def receiveSecond {d : Nat} (H : Table (cloudSize d) d)
(s : Control d) (returnedPort : Fin (degree d)) : Control d :=
{ s with
secondG := returnedPort
lastH := lookup H
(rowIndex (degree d) (degree d) (returnedPort,s.firstG),s.lastInput) }
def firstOffset {d : Nat} (s : Control d) : Fin (degree d) := (squarePorts s).1
def secondOffset {d : Nat} (s : Control d) : Fin (degree d) := (squarePorts s).2
def outputPort {d : Nat} (s : Control d) : Fin (degree d) :=
rowIndex d d (s.lastH.2,s.firstH.2)
/-- The entire bounded contribution to the emitted row: output port plus
`q` times output cloud, with `q = d*d`. -/
def outputOffset {d : Nat} (s : Control d) : Fin (rowFactor d) :=
rowIndex (cloudSize d) (degree d) (s.lastH.1,outputPort s)
def firstAddress {d : Nat} (vertex : Nat) (s : Control d) : Nat :=
degree d * vertex + (firstOffset s).val
def secondAddress {d : Nat} (vertex : Nat) (s : Control d) : Nat :=
degree d * vertex + (secondOffset s).val
def outputAddress {d : Nat} (vertex : Nat) (s : Control d) : Nat :=
rowFactor d * vertex + (outputOffset s).val
@[simp] theorem firstOffset_receiveFirst {d : Nat} (s : Control d) (r : Fin (degree d)) :
firstOffset (receiveFirst s r) = firstOffset s := rfl
@[simp] theorem secondOffset_receiveFirst {d : Nat} (s : Control d) (r : Fin (degree d)) :
secondOffset (receiveFirst s r) = secondOffset s := rfl
@[simp] theorem receiveFirst_port {d : Nat} (s : Control d) (r : Fin (degree d)) :
(receiveFirst s r).firstG = r := rfl
@[simp] theorem receiveSecond_port {d : Nat} (H : Table (cloudSize d) d)
(s : Control d) (r : Fin (degree d)) : (receiveSecond H s r).secondG = r := rfl
theorem firstAddress_eq_rowIndex {v d : Nat} (vertex : Fin v) (s : Control d) :
firstAddress vertex.val s =
(rowIndex v (degree d) (vertex,firstOffset s)).val := by
rw [rowIndex_val]
exact Nat.add_comm _ _
theorem secondAddress_eq_rowIndex {v d : Nat} (vertex : Fin v) (s : Control d) :
secondAddress vertex.val s =
(rowIndex v (degree d) (vertex,secondOffset s)).val := by
rw [rowIndex_val]
exact Nat.add_comm _ _
theorem firstAddress_lt {v d : Nat} (vertex : Fin v) (s : Control d) :
firstAddress vertex.val s < v * degree d := by
rw [firstAddress_eq_rowIndex]
exact (rowIndex v (degree d) (vertex,firstOffset s)).isLt
theorem secondAddress_lt {v d : Nat} (vertex : Fin v) (s : Control d) :
secondAddress vertex.val s < v * degree d := by
rw [secondAddress_eq_rowIndex]
exact (rowIndex v (degree d) (vertex,secondOffset s)).isLt
/-- Actual table returns split into the unary vertex quotient and finite port
remainder. Both formulas are the definitions of the table's mixed-radix inverse. -/
theorem lookup_vertex_div {v q : Nat} (G : Table v q) (x : Fin v × Fin q) :
(lookup G x).1.val = (reverseIndex G (rowIndex v q x)).val / q := rfl
theorem lookup_port_mod {v q : Nat} (G : Table v q) (x : Fin v × Fin q) :
(lookup G x).2.val = (reverseIndex G (rowIndex v q x)).val % q := rfl
theorem lookup_port_eq_remainder {v q : Nat} (G : Table v q) (x : Fin v × Fin q)
(r : Fin q) (hr : r.val = (reverseIndex G (rowIndex v q x)).val % q) :
(lookup G x).2 = r := Fin.ext ((lookup_port_mod G x).trans hr.symm)
theorem rowIndex_lookup {v q : Nat} (G : Table v q) (x : Fin v × Fin q) :
rowIndex v q (lookup G x) = reverseIndex G (rowIndex v q x) := by
simp only [lookup, Equiv.apply_symm_apply]
def outputPair {v d : Nat} (vertex : Fin v) (s : Control d) :
Fin (v * cloudSize d) × Fin (degree d) :=
(rowIndex v (cloudSize d) (vertex,s.lastH.1),outputPort s)
theorem outputAddress_eq_rowIndex {v d : Nat} (vertex : Fin v) (s : Control d) :
outputAddress vertex.val s =
(rowIndex (v * cloudSize d) (degree d) (outputPair vertex s)).val := by
simp only [outputAddress, outputOffset, outputPair, rowIndex_val, rowFactor]
ring
theorem outputAddress_lt {v d : Nat} (vertex : Fin v) (s : Control d) :
outputAddress vertex.val s < (v * cloudSize d) * degree d := by
rw [outputAddress_eq_rowIndex]
exact (rowIndex (v * cloudSize d) (degree d) (outputPair vertex s)).isLt
/-- Pure row semantics: exactly two lookups in the input table. The two fixed
H lookups occur inside `start` and `receiveSecond`. This is not a machine trace. -/
def evaluateRow {v d : Nat} (G : Table v (degree d)) (H : Table (cloudSize d) d)
(vertex : Fin v) (cloud : Fin (cloudSize d)) (port : Fin (degree d)) :
Fin v × Control d :=
let s₀ := start H cloud port
let g₁ := lookup G (vertex,firstOffset s₀)
let s₁ := receiveFirst s₀ g₁.2
let g₂ := lookup G (g₁.1,secondOffset s₁)
(g₂.1, receiveSecond H s₁ g₂.2)
/-- The finite callback sequence computes exactly the previously checked
square/zigzag lookup, including both reversed square ports. -/
theorem evaluateRow_eq_lookup_step {v d : Nat}
(G : Table v (degree d)) (H : Table (cloudSize d) d)
(vertex : Fin v) (cloud : Fin (cloudSize d)) (port : Fin (degree d)) :
outputPair (evaluateRow G H vertex cloud port).1 (evaluateRow G H vertex cloud port).2 =
lookup (step G H) (rowIndex v (cloudSize d) (vertex,cloud),port) := by
rw [lookup_step]
simp only [evaluateRow, start, receiveFirst, receiveSecond, firstOffset, secondOffset,
squarePorts, outputPair, outputPort, stepLookup, Equiv.symm_apply_apply]
theorem outputAddress_eq_step_row {v d : Nat}
(G : Table v (degree d)) (H : Table (cloudSize d) d)
(vertex : Fin v) (cloud : Fin (cloudSize d)) (port : Fin (degree d)) :
outputAddress (evaluateRow G H vertex cloud port).1.val (evaluateRow G H vertex cloud port).2 =
(rowIndex (v * cloudSize d) (degree d)
(lookup (step G H) (rowIndex v (cloudSize d) (vertex,cloud),port))).val := by
rw [outputAddress_eq_rowIndex, evaluateRow_eq_lookup_step]
/-- The emitted natural number is the actual stored row, not just an
extensionally equivalent endpoint pair. -/
theorem outputAddress_eq_step_reverseIndex {v d : Nat}
(G : Table v (degree d)) (H : Table (cloudSize d) d)
(vertex : Fin v) (cloud : Fin (cloudSize d)) (port : Fin (degree d)) :
outputAddress (evaluateRow G H vertex cloud port).1.val (evaluateRow G H vertex cloud port).2 =
(reverseIndex (step G H) (rowIndex (v * cloudSize d) (degree d)
(rowIndex v (cloudSize d) (vertex,cloud),port))).val := by
rw [outputAddress_eq_step_row, rowIndex_lookup]
end MaxCutGames.Foundations.PCP.ExpanderRowControl
/-!
# Raw natural-word serialization of actual expander rotation tables
The list keeps the stored row order `port + degree * vertex`; no header is
inserted. Lookup equalities and complete unary output lengths are data facts,
not machine execution certificates. Kernel-checked with Lean 4.33.1.
-/
namespace MaxCutGames.Foundations.PCP.ExpanderTableWords
open ExpanderTables
open MaxCutGames.Foundations.Complexity (encodeWords decodeWords)
variable {v d : ℕ}
def rotationWords (table : Table v d) : List Nat := table.rows.toList.map Fin.val
@[simp] theorem rotationWords_length (table : Table v d) :
(rotationWords table).length = v * d := by
simp [rotationWords]
theorem rotationWords_getElem (table : Table v d) (i : ℕ) (hi : i < v * d) :
(rotationWords table)[i]'(by simpa only [rotationWords_length] using hi) =
(reverseIndex table ⟨i, hi⟩).val := by
simp only [rotationWords, List.getElem_map, Vector.getElem_toList,
reverseIndex, Fin.getElem_fin]
theorem rotationWords_get (table : Table v d) (i : Fin (v * d)) :
(rotationWords table).get
⟨i.val, by simpa only [rotationWords_length] using i.isLt⟩ =
(reverseIndex table i).val := by
simpa only [List.get_eq_getElem] using rotationWords_getElem table i.val i.isLt
/-- The exact zero-based lookup hypothesis consumed by the machine lookup API. -/
theorem rotationWords_getElem? (table : Table v d) (i : Fin (v * d)) :
(rotationWords table)[i.val]? = some (reverseIndex table i).val := by
apply List.getElem?_eq_some_iff.mpr
exact ⟨by simpa only [rotationWords_length] using i.isLt,
rotationWords_getElem table i.val i.isLt⟩
theorem rotationWords_getElem?_none (table : Table v d) (i : ℕ) (hi : v * d ≤ i) :
(rotationWords table)[i]? = none :=
List.getElem?_eq_none (by simpa only [rotationWords_length] using hi)
theorem rotationWords_entry_lt (table : Table v d) (n : ℕ)
(hn : n ∈ rotationWords table) : n < v * d := by
obtain ⟨a, _, rfl⟩ := List.mem_map.mp hn
exact a.isLt
/-- The serialized reverse index decodes to the actual table lookup. -/
theorem rotationWords_lookup (table : Table v d) (x : Fin v × Fin d) :
(rotationWords table)[(rowIndex v d x).val]? =
some (rowIndex v d (lookup table x)).val := by
simpa only [lookup, Equiv.apply_symm_apply] using
rotationWords_getElem? table (rowIndex v d x)
/-- Both the input and output use port-first mixed-radix row coordinates. -/
theorem rotationWords_row_order (table : Table v d) (x : Fin v × Fin d) :
(rotationWords table)[x.2.val + d * x.1.val]? =
some ((lookup table x).2.val + d * (lookup table x).1.val) := by
simpa only [rowIndex_val] using rotationWords_lookup table x
@[simp] theorem decode_rotationWords (table : Table v d) :
decodeWords (encodeWords (rotationWords table)) = some (rotationWords table) :=
Complexity.decodeWords_encodeWords _
/-- Fully decode the serialized list, then select the actual reverse-dart row. -/
theorem decoded_lookup (table : Table v d) (i : Fin (v * d)) :
(decodeWords (encodeWords (rotationWords table))).bind (fun words => words[i.val]?) =
some (reverseIndex table i).val := by
rw [decode_rotationWords]
exact rotationWords_getElem? table i
theorem decoded_coordinate_lookup (table : Table v d) (x : Fin v × Fin d) :
(decodeWords (encodeWords (rotationWords table))).bind
(fun words => words[x.2.val + d * x.1.val]?) =
some ((lookup table x).2.val + d * (lookup table x).1.val) := by
rw [decode_rotationWords]
exact rotationWords_row_order table x
theorem encode_rotationWords_length_eq (table : Table v d) :
(encodeWords (rotationWords table)).length = (rotationWords table).sum + v * d := by
rw [Complexity.encodeWords_length, rotationWords_length]
/-- Complete raw-row serialization bound, with no discarded delimiter or prefix. -/
theorem encode_rotationWords_length_le (table : Table v d) :
(encodeWords (rotationWords table)).length ≤ (v * d) * (v * d + 1) := by
calc
_ ≤ (rotationWords table).length * (v * d + 1) :=
Complexity.encodeWords_length_le _ _
(fun n hn => (rotationWords_entry_lt table n hn).le)
_ = _ := by rw [rotationWords_length]
end MaxCutGames.Foundations.PCP.ExpanderTableWords
end OAI