roseking's picture
Add lean source and binary files (part 119)
9b6e014 verified
Raw History Blame Contribute Delete
8.72 kB
import Mathlib
import OAI.Probability.BinarySweep.GridBounds.DiagonalRigidity
namespace OAI
noncomputable section
section
open scoped BigOperators Classical
namespace BinaryCoordinateSweeps.Young
variable (μ : YoungDiagram)
lemma factorial_le_diagonal_dimension (L : ℕ) (hL : ∀ x : Cell μ, diagonal μ x < L) :
(Fintype.card (Cell μ)).factorial ≤ L^(Fintype.card (Cell μ)) *
Module.finrank ℂ (SpechtSpace μ) := by
let f : Cell μ → Fin L := fun x => ⟨diagonal μ x,hL x⟩
have hf : fiberStabilizer f = diagonalStabilizer μ := by
ext g
constructor
· intro hg x
exact congrArg Fin.val (hg x)
· intro hg x
exact Fin.ext (hg x)
have hb := factorial_le_colorings_mul_stabilizer f
rw [Fintype.card_fin, hf, Nat.card_eq_fintype_card] at hb
exact hb.trans (Nat.mul_le_mul_left _ (diagonal_card_le_dimension μ))
lemma specht_dimension_pos : 0 < Module.finrank ℂ (SpechtSpace μ) :=
lt_of_lt_of_le (Fintype.card_pos) (diagonal_card_le_dimension μ)
theorem log_dimension_lower_of_diagonal_bound (L : ℕ) (hpos : 0 < L)
(hk : 0 < Fintype.card (Cell μ)) (hL : ∀ x : Cell μ, diagonal μ x < L) :
(Fintype.card (Cell μ) : ℝ) *
(Real.log (Fintype.card (Cell μ)) - Real.log L - 1) ≤
Real.log (Module.finrank ℂ (SpechtSpace μ)) := by
let k := Fintype.card (Cell μ)
let D := Module.finrank ℂ (SpechtSpace μ)
have hD : (0 : ℝ) < D := by exact_mod_cast specht_dimension_pos μ
have hLr : (0 : ℝ) < L := by exact_mod_cast hpos
have hfac : (0 : ℝ) < k.factorial := by positivity
have hbound : (k.factorial : ℝ) ≤ (L : ℝ)^k * D := by
exact_mod_cast factorial_le_diagonal_dimension μ L hL
have hlog := Real.log_le_log hfac hbound
rw [Real.log_mul (pow_ne_zero _ hLr.ne') hD.ne', Real.log_pow] at hlog
have hst := Stirling.le_log_factorial_stirling (show k ≠ 0 from hk.ne')
have hpi : 0 ≤ Real.log (2*Real.pi) := Real.log_nonneg (by linarith [Real.pi_gt_three])
have hklog : 0 ≤ Real.log k := Real.log_nonneg (by exact_mod_cast hk)
change (k : ℝ) * (Real.log k - Real.log L - 1) ≤ Real.log D
nlinarith
lemma diagonal_lt_height_add_width (x : Cell μ) :
diagonal μ x < μ.colLen 0 + μ.rowLen 0 := by
have hr : row x < μ.colLen (col x) := YoungDiagram.mem_iff_lt_colLen.mp x.property
have hc : col x < μ.rowLen (row x) := YoungDiagram.mem_iff_lt_rowLen.mp x.property
have hr' := μ.colLen_anti 0 (col x) (Nat.zero_le _)
have hc' := μ.rowLen_anti 0 (row x) (Nat.zero_le _)
unfold diagonal
omega
lemma width_add_rectangle_le_card (x : Cell μ) :
μ.rowLen 0 + row x * (col x+1) ≤ Fintype.card (Cell μ) := by
let f : Fin (μ.rowLen 0) ⊕ (Fin (row x) × Fin (col x+1)) → Cell μ :=
Sum.elim (fun a => ⟨(0,a.val), YoungDiagram.mem_iff_lt_rowLen.mpr a.isLt⟩)
(fun a => ⟨(a.1.val+1,a.2.val), μ.up_left_mem
(show a.1.val+1 ≤ row x from a.1.isLt)
(show a.2.val ≤ col x from Nat.le_of_lt_succ a.2.isLt) x.property⟩)
have hf : Function.Injective f := by
intro a b he
have he' := congrArg Subtype.val he
cases a with
| inl a =>
cases b with
| inl b =>
have hab : a = b := Fin.ext (congrArg Prod.snd he')
exact congrArg Sum.inl hab
| inr b =>
have hh := congrArg Prod.fst he'
change 0 = b.1.val+1 at hh
omega
| inr a =>
cases b with
| inl b =>
have hh := congrArg Prod.fst he'
change a.1.val+1 = 0 at hh
omega
| inr b =>
congr 1
apply Prod.ext
· apply Fin.ext
have hh := congrArg Prod.fst he'
change a.1.val+1 = b.1.val+1 at hh
omega
· exact Fin.ext (congrArg Prod.snd he')
simpa only [Fintype.card_sum, Fintype.card_prod, Fintype.card_fin] using
Fintype.card_le_of_injective f hf
lemma height_add_rectangle_le_card (x : Cell μ) :
μ.colLen 0 + col x * (row x+1) ≤ Fintype.card (Cell μ) := by
let y : Cell μ.transpose := ⟨x.val.swap, YoungDiagram.mem_transpose.mpr x.property⟩
have hh := width_add_rectangle_le_card μ.transpose y
have hc : Fintype.card (Cell μ.transpose) = Fintype.card (Cell μ) := by
simpa only [Cell, Fintype.card_coe, YoungDiagram.card] using YoungDiagram.card_transpose μ
simpa only [YoungDiagram.rowLen_transpose, hc, y, row, col, Prod.fst_swap, Prod.snd_swap] using hh
lemma height_width_le_card : max (μ.colLen 0) (μ.rowLen 0) ≤ Fintype.card (Cell μ) := by
by_cases h : Nonempty (Cell μ)
· obtain ⟨x⟩ := h
exact max_le (by have := height_add_rectangle_le_card μ x; omega)
(by have := width_add_rectangle_le_card μ x; omega)
· have hempty : μ = ⊥ := by
apply YoungDiagram.ext
ext x
simp only [YoungDiagram.cells_bot, Finset.notMem_empty, iff_false]
intro hx
exact h ⟨⟨x,hx⟩⟩
subst μ
simp [YoungDiagram.colLen, YoungDiagram.rowLen]
lemma diagonal_twice_le (x : Cell μ) :
2*(diagonal μ x+1) ≤ Fintype.card (Cell μ) + max (μ.colLen 0) (μ.rowLen 0) := by
have hr : row x < μ.colLen 0 :=
(YoungDiagram.mem_iff_lt_colLen.mp x.property).trans_le (μ.colLen_anti 0 _ (Nat.zero_le _))
have hc : col x < μ.rowLen 0 :=
(YoungDiagram.mem_iff_lt_rowLen.mp x.property).trans_le (μ.rowLen_anti 0 _ (Nat.zero_le _))
have hm := height_width_le_card μ
unfold diagonal
by_cases hrow : row x = 0
· rw [hrow]
omega
by_cases hcol : col x = 0
· rw [hcol]
omega
rcases le_total (μ.colLen 0) (μ.rowLen 0) with h | h
· rw [max_eq_right h]
have hh := width_add_rectangle_le_card μ x
have hm2 : 2*row x ≤ row x*(col x+1) := by
rw [mul_comm 2]
exact Nat.mul_le_mul_left _ (by omega)
omega
· rw [max_eq_left h]
have hh := height_add_rectangle_le_card μ x
have hm2 : 2*col x ≤ col x*(row x+1) := by
rw [mul_comm 2]
exact Nat.mul_le_mul_left _ (by omega)
omega
lemma diagonal_lt_half_card_add_max (x : Cell μ) :
diagonal μ x < (Fintype.card (Cell μ) + max (μ.colLen 0) (μ.rowLen 0))/2 := by
have hh := diagonal_twice_le μ x
omega
end BinaryCoordinateSweeps.Young
end
open scoped BigOperators Classical
namespace BinaryCoordinateSweeps.Young
variable {X Y : Type*} [Fintype X] [Fintype Y]
def assembleFiberPerm (f : X → Y) (p : ∀ y, Equiv.Perm {x // f x = y}) :
fiberStabilizer f :=
⟨(Equiv.sigmaFiberEquiv f).permCongr (Equiv.sigmaCongrRight p), by
intro x
exact (p (f x) ⟨x,rfl⟩).property⟩
omit [Fintype X] [Fintype Y] in
lemma assembleFiberPerm_injective (f : X → Y) : Function.Injective (assembleFiberPerm f) := by
intro p q he
have hh := congrArg Subtype.val he
have hh' : Equiv.sigmaCongrRight p = Equiv.sigmaCongrRight q :=
(Equiv.sigmaFiberEquiv f).permCongr.injective hh
exact Equiv.Perm.sigmaCongrRightHom_injective hh'
lemma product_factorial_le_stabilizer (f : X → Y) :
(∏ y, (Fintype.card {x // f x = y}).factorial) ≤ Nat.card (fiberStabilizer f) := by
have hi := Nat.card_le_card_of_injective (assembleFiberPerm f) (assembleFiberPerm_injective f)
simpa only [Nat.card_eq_fintype_card, Fintype.card_pi, Fintype.card_perm] using hi
lemma two_pow_sub_one_le_factorial (n : ℕ) : 2^(n-1) ≤ n.factorial := by
cases n with
| zero => simp
| succ n =>
induction n with
| zero => simp
| succ n ih =>
rw [Nat.succ_sub_one, pow_succ, Nat.factorial_succ]
have hp : 2 ≤ n+1+1 := by omega
simpa only [Nat.succ_sub_one, mul_comm] using Nat.mul_le_mul ih hp
lemma two_pow_card_sub_colors_le_stabilizer (f : X → Y) :
2^(Fintype.card X - Fintype.card Y) ≤ Nat.card (fiberStabilizer f) := by
have hsum : ∑ y, Fintype.card {x // f x = y} = Fintype.card X := by
rw [← Fintype.card_sigma]
exact Fintype.card_congr (Equiv.sigmaFiberEquiv f)
have hexp : Fintype.card X - Fintype.card Y ≤
∑ y, (Fintype.card {x // f x = y} - 1) := by
have hh := Finset.sum_le_sum (s := Finset.univ) (fun (y : Y) _ =>
show Fintype.card {x // f x = y} ≤ (Fintype.card {x // f x = y} - 1) + 1 from by omega)
rw [hsum, Finset.sum_add_distrib] at hh
simp only [Finset.sum_const, Finset.card_univ, smul_eq_mul, mul_one] at hh
omega
calc
_ ≤ 2^(∑ y, (Fintype.card {x // f x = y} - 1)) := Nat.pow_le_pow_right (by decide) hexp
_ = ∏ y, 2^(Fintype.card {x // f x = y} - 1) := (Finset.prod_pow_eq_pow_sum _ _ _).symm
_ ≤ ∏ y, (Fintype.card {x // f x = y}).factorial :=
Finset.prod_le_prod (fun y _ => two_pow_sub_one_le_factorial _)
_ ≤ _ := product_factorial_le_stabilizer f
end BinaryCoordinateSweeps.Young
end
end OAI