openAI-math-dataset / lean /OAI /Algebra /Finitistic /Bar /BlockIndexEquiv.lean
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Add lean source and binary files (part 7)
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import OAI.Algebra.Finitistic.Bar.SignedBlockModel
namespace OAI
noncomputable section
namespace DerivedBar.Multibar
/-- The first X uniquely determines the length of the preceding D block. -/
theorem base_run_injective (i j : ℕ) (p q : List Bool)
(h : List.replicate i false ++ true :: p = List.replicate j false ++ true :: q) :
i=j ∧ p=q := by
induction i generalizing j with
| zero =>
cases j with
| zero => simpa using h
| succ j => simp [List.replicate_succ] at h
| succ i ih =>
cases j with
| zero => simp [List.replicate_succ] at h
| succ j =>
have ht : List.replicate i false ++ true :: p = List.replicate j false ++ true :: q := by
simpa only [List.replicate_succ, List.cons_append, List.cons.injEq, true_and] using h
obtain ⟨hij,hpq⟩ := ih j ht
exact ⟨congrArg Nat.succ hij,hpq⟩
/-- Consecutive block lengths have a unique literal D/X word. -/
theorem pattern_injective (r : ℕ) : Function.Injective (pattern r) := by
induction r with
| zero =>
intro i j h
change List.replicate i false = List.replicate j false at h
exact List.length_replicate.symm.trans ((congrArg List.length h).trans List.length_replicate)
| succ r ih =>
rintro ⟨i,p⟩ ⟨j,q⟩ h
obtain ⟨hij,hpq⟩ := base_run_injective i j (pattern r p) (pattern r q) h
exact Prod.ext hij (ih hpq)
/-- Parse a word of a specified count without changing its block data. -/
def parseOfCount (r : ℕ) (p : List Bool) (h : count p=r) : Blocks r := h ▸ parse p
@[simp] theorem pattern_parseOfCount (r : ℕ) (p : List Bool) (h : count p=r) :
pattern r (parseOfCount r p h) = p := by
subst r
exact pattern_parse p
@[simp] theorem parseOfCount_pattern (r : ℕ) (b : Blocks r) :
parseOfCount r (pattern r b) (count_pattern r b) = b := by
apply pattern_injective r
simp
namespace Indexed
def shapeOfList : (p : List Bool) → Shape p.length (count p)
| [] => .nil
| false :: p => .base (shapeOfList p)
| true :: p => .ideal (shapeOfList p)
@[simp] theorem toList_shapeOfList (p : List Bool) : toList (shapeOfList p) = p := by
induction p with
| nil => rfl
| cons b p ih =>
cases b with
| false => exact congrArg (false :: ·) ih
| true => exact congrArg (true :: ·) ih
def castShape {n m r s : ℕ} (hn : n=m) (hr : r=s) (p : Shape n r) : Shape m s := hn ▸ hr ▸ p
@[simp] theorem toList_castShape {n m r s : ℕ} (hn : n=m) (hr : r=s) (p : Shape n r) :
toList (castShape hn hr p) = toList p := by
subst m s
rfl
/-- Construct the degree-indexed tensor shape of a tuple of block lengths. -/
def shapeOfBlocks (r : ℕ) (b : Blocks r) : Shape (r+total r b) r :=
castShape (length_pattern r b) (count_pattern r b) (shapeOfList (pattern r b))
@[simp] theorem toList_shapeOfBlocks (r : ℕ) (b : Blocks r) :
toList (shapeOfBlocks r b) = pattern r b := by
simp [shapeOfBlocks]
def blocksOfShape {n r : ℕ} (p : Shape n r) : Blocks r :=
parseOfCount r (toList p) (count_toList p)
@[simp] theorem pattern_blocksOfShape {n r : ℕ} (p : Shape n r) :
pattern r (blocksOfShape p) = toList p := by simp [blocksOfShape]
theorem total_blocksOfShape {n r : ℕ} (p : Shape n r) : r+total r (blocksOfShape p)=n := by
have h := length_pattern r (blocksOfShape p)
rw [pattern_blocksOfShape, length_toList] at h
exact h.symm
/-- Reindex the finite block-length diagonal by the existing tensor shapes.
The shift by r occurs in the degree, not in a hidden tensor-power replacement. -/
def blockDegreeEquiv (r m : ℕ) : {b : Blocks r // total r b=m} ≃ Shape (r+m) r where
toFun b := castShape (congrArg (r+·) b.property) rfl (shapeOfBlocks r b.val)
invFun p := ⟨blocksOfShape p, by have := total_blocksOfShape p; omega⟩
left_inv b := by
apply Subtype.ext
apply pattern_injective r
simp
right_inv p := by
apply toList_injective
simp
end Indexed
end DerivedBar.Multibar
end
end OAI