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import OAI.MathematicalPhysics.CriticalSK.MinMax
import OAI.MathematicalPhysics.CriticalSK.PathEnergy
namespace OAI
noncomputable section
open scoped BigOperators Topology NNReal ENNReal
open MeasureTheory ProbabilityTheory
open scoped ENNReal NNReal
open scoped BigOperators InnerProductSpace
open Module
open scoped BigOperators ENNReal NNReal Real Topology
open MeasureTheory ProbabilityTheory Filter
open scoped BigOperators NNReal
open scoped BigOperators
open Matrix Polynomial
open scoped BigOperators Topology
open Filter
namespace CriticalSK
def edgeTent (m b i : ℕ) : ℝ := (min (min (i - b) m) (4 * m - (i - b)) : ℕ)
lemma edgeTent_nonneg (m b i : ℕ) : 0 ≤ edgeTent m b i := by unfold edgeTent; positivity
lemma edgeTent_le (m b i : ℕ) : edgeTent m b i ≤ m := by
unfold edgeTent
exact_mod_cast (min_le_left _ _).trans (min_le_right _ _)
lemma edgeTent_zero_left {m b i : ℕ} (hi : i ≤ b) : edgeTent m b i = 0 := by
simp [edgeTent, Nat.sub_eq_zero_of_le hi]
lemma edgeTent_zero_right {m b i : ℕ} (hi : b + 4*m ≤ i) : edgeTent m b i = 0 := by
have h : 4*m ≤ i-b := by omega
simp [edgeTent, Nat.sub_eq_zero_of_le h]
lemma edgeTent_plateau {m b i : ℕ} (hlo : b+m ≤ i) (hhi : i ≤ b+3*m) :
edgeTent m b i = m := by
have h1 : m ≤ i-b := by omega
have h2 : m ≤ 4*m-(i-b) := by omega
simp [edgeTent, min_eq_right h1, min_eq_left h2]
lemma edgeTent_lipschitz (m b i : ℕ) : |edgeTent m b (i+1) - edgeTent m b i| ≤ 1 := by
unfold edgeTent
rw [abs_le]
have h1 : min (min (i+1-b) m) (4*m-(i+1-b)) ≤ min (min (i-b) m) (4*m-(i-b)) + 1 := by omega
have h2 : min (min (i-b) m) (4*m-(i-b)) ≤ min (min (i+1-b) m) (4*m-(i+1-b)) + 1 := by omega
have hh1 : ((min (min (i+1-b) m) (4*m-(i+1-b)) : ℕ) : ℝ) ≤ ((min (min (i-b) m) (4*m-(i-b)) : ℕ) : ℝ) + 1 := by exact_mod_cast h1
have hh2 : ((min (min (i-b) m) (4*m-(i-b)) : ℕ) : ℝ) ≤ ((min (min (i+1-b) m) (4*m-(i+1-b)) : ℕ) : ℝ) + 1 := by exact_mod_cast h2
constructor <;> linarith
lemma edgeTent_gradient_support {m b i : ℕ} (hi : i ∉ Finset.Ico b (b+4*m)) :
edgeTent m b (i+1) - edgeTent m b i = 0 := by
simp only [Finset.mem_Ico, not_and_or, not_le, not_lt] at hi
rcases hi with hi | hi
· rw [edgeTent_zero_left (by omega), edgeTent_zero_left (by omega), sub_self]
· rw [edgeTent_zero_right (by omega), edgeTent_zero_right hi, sub_self]
lemma edgeTent_gradient (m b n : ℕ) :
(∑ i ∈ Finset.range n, (edgeTent m b (i+1) - edgeTent m b i)^2) ≤ 4 * m := by
have hpoint (i : ℕ) : (edgeTent m b (i+1) - edgeTent m b i)^2 ≤
if i ∈ Finset.Ico b (b+4*m) then (1 : ℝ) else 0 := by
split_ifs with hi
· have h := edgeTent_lipschitz m b i
nlinarith [sq_abs (edgeTent m b (i+1) - edgeTent m b i), abs_nonneg (edgeTent m b (i+1) - edgeTent m b i)]
· rw [edgeTent_gradient_support hi]; norm_num
calc
_ ≤ ∑ i ∈ Finset.range n, if i ∈ Finset.Ico b (b+4*m) then (1 : ℝ) else 0 :=
Finset.sum_le_sum (fun i _ => hpoint i)
_ ≤ ∑ i ∈ Finset.Ico b (b+4*m), (1 : ℝ) := by
rw [← Finset.sum_filter]
apply Finset.sum_le_sum_of_subset_of_nonneg
· intro i hi; exact (Finset.mem_filter.mp hi).2
· intros; positivity
_ = 4*m := by simp
lemma edgeTent_mass {m b n : ℕ} (hfit : b+2*m ≤ n+1) :
(m : ℝ)^3 ≤ ∑ i ∈ Finset.range (n+1), edgeTent m b i ^ 2 := by
calc
(m : ℝ)^3 = ∑ i ∈ Finset.Ico (b+m) (b+2*m), (m : ℝ)^2 := by
have h : b+2*m-(b+m) = m := by omega
simp only [Finset.sum_const, Nat.card_Ico, h, nsmul_eq_mul]
ring
_ = ∑ i ∈ Finset.Ico (b+m) (b+2*m), edgeTent m b i ^ 2 := by
apply Finset.sum_congr rfl
intro i hi
rw [edgeTent_plateau (Finset.mem_Ico.mp hi).1 (by have := (Finset.mem_Ico.mp hi).2; omega)]
_ ≤ ∑ i ∈ Finset.range (n+1), edgeTent m b i ^ 2 := by
apply Finset.sum_le_sum_of_subset_of_nonneg
· intro i hi
simp only [Finset.mem_range]
have := (Finset.mem_Ico.mp hi).2
omega
· intros; positivity
lemma edgeCoeff_lower (n i : ℕ) (hi : i ≤ n) :
1 - (i+1 : ℝ)/(n+1) ≤ edgeCoeff n i := by
have hn : (0 : ℝ) < n+1 := by positivity
have ht : (i+1 : ℝ) ≤ n+1 := by exact_mod_cast Nat.succ_le_succ hi
have h0 : 0 ≤ 1 - (i+1 : ℝ)/(n+1) := sub_nonneg.mpr ((div_le_one hn).mpr ht)
have h1 : 1 - (i+1 : ℝ)/(n+1) ≤ 1 := sub_le_self _ (by positivity)
dsimp [edgeCoeff]
have hs := Real.sq_sqrt h0
nlinarith [Real.sqrt_nonneg (1 - (i+1 : ℝ)/(n+1)), mul_nonneg h0 (sub_nonneg.mpr h1)]
lemma edge_potential_upper {n i : ℕ} (hi : i ≤ n) (hi0 : i ≠ 0) :
2 - edgeCoeff n i - edgeCoeff n (i-1) ≤ 2*(i+1 : ℝ)/(n+1) := by
have h1 := edgeCoeff_lower n i hi
have h2 := edgeCoeff_lower n (i-1) (by omega)
have h3 : (i-1+1 : ℕ) = i := by omega
have h4 : ((i-1 : ℕ) : ℝ) + 1 = i := by exact_mod_cast h3
have h5 : (i : ℝ)/(n+1) ≤ (i+1 : ℝ)/(n+1) := by gcongr; linarith
rw [h4] at h2
rw [mul_div_assoc]
linarith
lemma edgeTent_energy {m b n : ℕ} (_hfit : b+4*m ≤ n) :
pathEnergy n (edgeTent m b) ≤ 4*m + (2*(b+4*m+1 : ℝ)/(n+1)) *
(∑ i ∈ Finset.range (n+1), edgeTent m b i ^ 2) := by
rw [pathEnergy_expansion]
apply add_le_add
· calc
_ ≤ ∑ i ∈ Finset.range n, (edgeTent m b (i+1)-edgeTent m b i)^2 := by
apply Finset.sum_le_sum
intro i hi
exact mul_le_of_le_one_left (sq_nonneg _) (edgeCoeff_le_one n i (by have := Finset.mem_range.mp hi; omega))
_ ≤ 4*m := edgeTent_gradient m b n
· rw [Finset.mul_sum]
apply Finset.sum_le_sum
intro i hi
by_cases hi0 : i = 0
· subst i; rw [edgeTent_zero_left (by omega)]; simp
· simp only [ite_eq_right hi0]
by_cases hit : b+4*m ≤ i
· rw [edgeTent_zero_right hit]; simp
· apply mul_le_mul_of_nonneg_right _ (sq_nonneg _)
apply (edge_potential_upper (by have := Finset.mem_range.mp hi; omega) hi0).trans
gcongr
exact_mod_cast (show i ≤ b+4*m by omega)
lemma edgeTent_mul_zero {m b d i : ℕ} (hgap : b+4*m ≤ d) :
edgeTent m b i * edgeTent m d i = 0 := by
by_cases h : i ≤ d
· rw [edgeTent_zero_left h, mul_zero]
· rw [edgeTent_zero_right (by omega), zero_mul]
lemma edgeTent_adj_mul_zero {m b d i : ℕ} (hgap : b+4*m ≤ d) :
edgeTent m b i * edgeTent m d (i+1) = 0 := by
by_cases h : i+1 ≤ d
· rw [edgeTent_zero_left h, mul_zero]
· rw [edgeTent_zero_right (by omega), zero_mul]
lemma edgeTent_adj_mul_zero' {m b d i : ℕ} (hgap : b+4*m ≤ d) :
edgeTent m d i * edgeTent m b (i+1) = 0 := by
by_cases h : i ≤ d
· rw [edgeTent_zero_left h, zero_mul]
· rw [edgeTent_zero_right (m := m) (b := b) (i := i+1) (by omega), mul_zero]
lemma separated_tents {m k l i : ℕ} (hkl : k ≠ l) :
edgeTent m (4*m*k) i * edgeTent m (4*m*l) i = 0 := by
rcases lt_or_gt_of_ne hkl with h | h
· apply edgeTent_mul_zero
nlinarith
· rw [mul_comm]
apply edgeTent_mul_zero
nlinarith
lemma separated_tents_adj {m k l i : ℕ} (hkl : k ≠ l) :
edgeTent m (4*m*k) i * edgeTent m (4*m*l) (i+1) = 0 := by
rcases lt_or_gt_of_ne hkl with h | h
· apply edgeTent_adj_mul_zero
nlinarith
· apply edgeTent_adj_mul_zero'
nlinarith
lemma sum_mul_diagonal {ι : Type*} [Fintype ι] (u v c : ι → ℝ)
(huv : ∀ i j, i ≠ j → u i * v j = 0) :
(∑ i, c i * u i) * (∑ i, c i * v i) = ∑ i, c i ^ 2 * u i * v i := by
classical
rw [Finset.sum_mul]
apply Finset.sum_congr rfl
intro i _
rw [Finset.mul_sum, Finset.sum_eq_single i]
· ring
· intro j _ hji
calc
_ = (c i * c j) * (u i * v j) := by ring
_ = 0 := by rw [huv i j hji.symm, mul_zero]
· simp
def tentCombination {r : ℕ} (m : ℕ) (c : Fin r → ℝ) (i : ℕ) : ℝ :=
∑ k, c k * edgeTent m (4*m*k.val) i
lemma tentCombination_sq {r : ℕ} (m : ℕ) (c : Fin r → ℝ) (i : ℕ) :
tentCombination m c i ^ 2 = ∑ k, c k ^ 2 * edgeTent m (4*m*k.val) i ^ 2 := by
rw [sq, tentCombination, sum_mul_diagonal]
· apply Finset.sum_congr rfl
intros
ring
· intro k l hkl
exact separated_tents (fun h => hkl (Fin.ext h))
lemma tentCombination_adj {r : ℕ} (m : ℕ) (c : Fin r → ℝ) (i : ℕ) :
tentCombination m c i * tentCombination m c (i+1) =
∑ k, c k ^ 2 * edgeTent m (4*m*k.val) i * edgeTent m (4*m*k.val) (i+1) := by
exact sum_mul_diagonal _ _ _ (fun k l hkl => separated_tents_adj (fun h => hkl (Fin.ext h)))
lemma tentCombination_mass {r : ℕ} (m n : ℕ) (c : Fin r → ℝ) :
(∑ i ∈ Finset.range (n+1), tentCombination m c i ^ 2) =
∑ k, c k ^ 2 * ∑ i ∈ Finset.range (n+1), edgeTent m (4*m*k.val) i ^ 2 := by
simp only [tentCombination_sq, Finset.mul_sum]
rw [Finset.sum_comm]
lemma tentCombination_energy {r : ℕ} (m n : ℕ) (c : Fin r → ℝ) :
pathEnergy n (tentCombination m c) =
∑ k, c k ^ 2 * pathEnergy n (edgeTent m (4*m*k.val)) := by
simp only [pathEnergy, tentCombination_sq, tentCombination_adj,
mul_assoc, mul_sub, Finset.mul_sum, Finset.sum_sub_distrib]
rw [Finset.sum_comm (s := Finset.range (n+1)), Finset.sum_comm (s := Finset.range n)]
congr 1 <;> apply Finset.sum_congr rfl <;> intro k _
· apply Finset.sum_congr rfl
intros
ring
· apply Finset.sum_congr rfl
intros
ring
lemma edgeTent_rayleigh {m b n : ℕ} (hm : 0 < m) (hfit : b+4*m ≤ n) :
pathEnergy n (edgeTent m b) ≤
(4/(m : ℝ)^2 + 2*(b+4*m+1 : ℝ)/(n+1)) *
∑ i ∈ Finset.range (n+1), edgeTent m b i ^ 2 := by
have hmR : (0 : ℝ) < m := by exact_mod_cast hm
have hmass := edgeTent_mass (m := m) (b := b) (n := n) (by omega)
have h := mul_le_mul_of_nonneg_left hmass (show 0 ≤ 4/(m : ℝ)^2 by positivity)
have he : 4/(m : ℝ)^2 * (m : ℝ)^3 = 4*m := by field_simp
rw [he] at h
have henergy := edgeTent_energy hfit
nlinarith
lemma tentCombination_rayleigh {m n r : ℕ} (hm : 0 < m) (hfit : 4*m*r ≤ n)
(c : Fin r → ℝ) :
pathEnergy n (tentCombination m c) ≤
(4/(m : ℝ)^2 + 2*(4*m*r+1 : ℝ)/(n+1)) *
∑ i ∈ Finset.range (n+1), tentCombination m c i ^ 2 := by
rw [tentCombination_mass, tentCombination_energy, Finset.mul_sum]
apply Finset.sum_le_sum
intro k _
have hk : 4*m*k.val+4*m ≤ 4*m*r := by nlinarith [k.isLt]
have h := edgeTent_rayleigh hm (hk.trans hfit)
have h' : 4/(m : ℝ)^2 + 2*(4*m*k.val+4*m+1 : ℝ)/(n+1) ≤
4/(m : ℝ)^2 + 2*(4*m*r+1 : ℝ)/(n+1) := by
gcongr
exact_mod_cast (by nlinarith [k.isLt] : 4*m*k.val+4*m ≤ 4*m*r)
push_cast at h
have hmass : 0 ≤ ∑ i ∈ Finset.range (n+1), edgeTent m (4*m*k.val) i ^ 2 := by positivity
have hbound := h.trans (mul_le_mul_of_nonneg_right h' hmass)
have hscaled := mul_le_mul_of_nonneg_left hbound (sq_nonneg (c k))
convert hscaled using 1
ring
lemma tentCombination_probe {m r : ℕ} (c : Fin r → ℝ) (k : Fin r) :
tentCombination m c (4*m*k.val+m) = c k * m := by
classical
rw [tentCombination, Finset.sum_eq_single k]
· rw [edgeTent_plateau (by omega) (by omega)]
· intro l _ hlk
by_cases hm : m = 0
· subst m
simp [edgeTent]
have h := separated_tents (m := m) (i := 4*m*k.val+m)
(show l.val ≠ k.val from fun h => hlk (Fin.ext h))
rw [edgeTent_plateau (m := m) (b := 4*m*k.val) (i := 4*m*k.val+m) (by omega) (by omega)] at h
have hz : edgeTent m (4*m*l.val) (4*m*k.val+m) = 0 :=
(mul_eq_zero.mp h).resolve_right (by exact_mod_cast hm)
rw [hz, mul_zero]
· simp
def tentMap (m n r : ℕ) : (Fin r → ℝ) →ₗ[ℝ] EuclideanSpace ℝ (Fin (n+1)) where
toFun c := WithLp.toLp 2 (fun i => tentCombination m c i.val)
map_add' c d := by
ext i
simp only [tentCombination, Pi.add_apply, PiLp.add_apply,
add_mul, Finset.sum_add_distrib]
map_smul' a c := by
ext i
simp only [tentCombination, Pi.smul_apply, smul_eq_mul,
PiLp.smul_apply, RingHom.id_apply, mul_assoc, Finset.mul_sum]
lemma tentMap_injective {m n r : ℕ} (hm : 0 < m) (hfit : 4*m*r ≤ n) :
Function.Injective (tentMap m n r) := by
intro c d h
funext k
have hidx : 4*m*k.val+m < n+1 := by nlinarith [k.isLt]
have he := congrArg (fun u : EuclideanSpace ℝ (Fin (n+1)) =>
u ⟨4*m*k.val+m, hidx⟩) h
change tentCombination m c (4*m*k.val+m) = tentCombination m d (4*m*k.val+m) at he
rw [tentCombination_probe, tentCombination_probe] at he
exact mul_right_cancel₀ (by exact_mod_cast (Nat.ne_of_gt hm)) he
lemma tentMap_rank {m n r : ℕ} (hm : 0 < m) (hfit : 4*m*r ≤ n) :
finrank ℝ (LinearMap.range (tentMap m n r)) = r := by
rw [← LinearEquiv.finrank_eq (LinearEquiv.ofInjective _ (tentMap_injective hm hfit))]
simp
lemma tentMap_mass (m n r : ℕ) (c : Fin r → ℝ) :
(∑ i ∈ Finset.range (n+1), tentCombination m c i ^ 2) = ‖tentMap m n r c‖ ^ 2 := by
rw [EuclideanSpace.norm_sq_eq]
simp only [tentMap, LinearMap.coe_mk, AddHom.coe_mk, PiLp.toLp_apply,
Real.norm_eq_abs, sq_abs]
exact (Fin.sum_univ_eq_sum_range _ _).symm
lemma eigenvalue_lower_of_subspace {E : Type*} [NormedAddCommGroup E]
[InnerProductSpace ℝ E] [FiniteDimensional ℝ E]
{T : E →ₗ[ℝ] E} (hT : T.IsSymmetric) {n : ℕ} (hn : finrank ℝ E = n)
(S : Submodule ℝ E) (i : Fin n) {a : ℝ}
(hdim : i.val < finrank ℝ S)
(hquad : ∀ x : E, x ∈ S → ‖x‖ = 1 → a ≤ inner ℝ x (T x)) :
a ≤ hT.eigenvalues hn i := by
let b := hT.eigenvectorBasis hn
let U := basisSpan b (Finset.Ici i)
have hnot : ¬ Disjoint S U := by
intro hd
have h := Submodule.finrank_add_finrank_le_of_disjoint hd
rw [show U = basisSpan b (Finset.Ici i) from rfl, basisSpan_finrank,
Fin.card_Ici, hn] at h
omega
rw [Submodule.disjoint_def] at hnot
push Not at hnot
obtain ⟨x, hxS, hxU, hx⟩ := hnot
let y := ‖x‖⁻¹ • x
have hy : ‖y‖ = 1 := by
rw [norm_smul, Real.norm_eq_abs, abs_inv, abs_of_nonneg (norm_nonneg _)]
exact inv_mul_cancel₀ (norm_ne_zero_iff.mpr hx)
have hlow := hquad y (S.smul_mem _ hxS) hy
have hupp := basisQuadratic_le b (hT.eigenvalues hn) (Finset.Ici i)
(U.smul_mem ‖x‖⁻¹ hxU) hy (fun j hj => hT.eigenvalues_antitone hn (Finset.mem_Ici.mp hj))
rw [eigenbasisQuadratic_eq] at hupp
exact hlow.trans hupp
def scaledHermite (a : ℝ) : ℕ → Polynomial ℝ
| 0 => 1
| k + 1 => X * scaledHermite a k - C a * derivative (scaledHermite a k)
@[simp] lemma scaledHermite_zero (a : ℝ) : scaledHermite a 0 = 1 := rfl
lemma scaledHermite_succ (a : ℝ) (k : ℕ) :
scaledHermite a (k + 1) = X * scaledHermite a k - C a * derivative (scaledHermite a k) := rfl
lemma derivative_scaledHermite_succ (a : ℝ) (k : ℕ) :
derivative (scaledHermite a (k + 1)) = C (k + 1 : ℝ) * scaledHermite a k := by
induction k with
| zero => simp [scaledHermite]
| succ k ih =>
rw [scaledHermite_succ a (k + 1), derivative_sub, derivative_mul, derivative_X,
one_mul, ih, derivative_mul, derivative_C, zero_mul, zero_add]
rw [derivative_mul, derivative_C, zero_mul, zero_add]
rw [scaledHermite_succ a k]
simp only [Nat.cast_add, Nat.cast_one, map_add, map_one]
ring
lemma scaledHermite_three_term (a : ℝ) (k : ℕ) :
scaledHermite a (k + 2) = X * scaledHermite a (k + 1) -
C (a * (k + 1)) * scaledHermite a k := by
rw [show k + 2 = (k + 1) + 1 by omega, scaledHermite_succ,
derivative_scaledHermite_succ, map_mul, mul_assoc]
lemma scaledHermite_differential (a : ℝ) (k : ℕ) :
C a * derivative (derivative (scaledHermite a k)) -
X * derivative (scaledHermite a k) + C (k : ℝ) * scaledHermite a k = 0 := by
have h := derivative_scaledHermite_succ a k
rw [scaledHermite_succ, derivative_sub, derivative_mul, derivative_X,
one_mul, derivative_mul, derivative_C, zero_mul, zero_add] at h
simp only [map_add, map_one] at h
linear_combination -h
lemma scaledHermite_degree_gap (a : ℝ) (p : Polynomial ℝ) (hp : p ≠ 0) :
(C a * derivative p).degree < (X * p).degree := by
by_cases ha : a = 0
· simp only [ha, map_zero, zero_mul, degree_zero]
exact degree_ne_bot.mpr (mul_ne_zero X_ne_zero hp) |>.bot_lt
· rw [degree_C_mul ha, mul_comm X p]
exact degree_derivative_le.trans_lt (degree_lt_degree_mul_X hp)
lemma scaledHermite_monic (a : ℝ) (k : ℕ) : (scaledHermite a k).Monic := by
induction k with
| zero => simp
| succ k ih =>
rw [scaledHermite_succ]
exact (monic_X.mul ih).sub_of_left (scaledHermite_degree_gap a _ ih.ne_zero)
lemma scaledHermite_degree (a : ℝ) (k : ℕ) : (scaledHermite a k).degree = k := by
induction k with
| zero => simp
| succ k ih =>
rw [scaledHermite_succ, degree_sub_eq_left_of_degree_lt
(scaledHermite_degree_gap a _ (scaledHermite_monic a k).ne_zero), mul_comm X _,
degree_mul_X, ih]
norm_cast
lemma det_tridiagonal_step {R : Type*} [CommRing R] (k : ℕ)
(A : Matrix (Fin (k + 2)) (Fin (k + 2)) R)
(hrow : ∀ j : Fin k, A 0 j.succ.succ = 0)
(hcol : ∀ i : Fin k, A i.succ.succ 0 = 0) :
A.det = A 0 0 * (A.submatrix Fin.succ Fin.succ).det -
A 0 1 * A 1 0 * (A.submatrix (Fin.succ ∘ Fin.succ) (Fin.succ ∘ Fin.succ)).det := by
have hminor : (A.submatrix Fin.succ (1 : Fin (k + 2)).succAbove).det =
A 1 0 * (A.submatrix (Fin.succ ∘ Fin.succ) (Fin.succ ∘ Fin.succ)).det := by
rw [det_succ_column_zero, Fin.sum_univ_succ]
simp only [Matrix.submatrix_apply, Fin.val_zero, pow_zero, one_mul,
Fin.succ_zero_eq_one, Fin.one_succAbove_zero, hcol, mul_zero, zero_mul,
Finset.sum_const_zero, add_zero, submatrix_submatrix, Fin.succAbove_zero]
congr 2
rw [det_succ_row_zero, Fin.sum_univ_succ, Fin.sum_univ_succ]
simp only [Fin.val_zero, pow_zero, one_mul, Fin.succAbove_zero, Fin.val_succ,
Fin.succ_zero_eq_one, hminor, hrow, mul_zero, zero_mul,
Finset.sum_const_zero, add_zero, Fin.val_one, pow_one, neg_one_mul]
ring
def jacobi (a : ℝ) (k : ℕ) : Matrix (Fin k) (Fin k) ℝ := fun i j =>
if i.val + 1 = j.val then Real.sqrt (a * ((k : ℝ) - 1 - i.val))
else if j.val + 1 = i.val then Real.sqrt (a * ((k : ℝ) - 1 - j.val)) else 0
lemma jacobi_diagonal (a : ℝ) (k : ℕ) (i : Fin k) : jacobi a k i i = 0 := by
simp [jacobi]
lemma jacobi_symmetric (a : ℝ) (k : ℕ) : (jacobi a k).IsSymm := by
ext i j
dsimp [jacobi, Matrix.transpose]
split_ifs with h₁ h₂ h₃ <;> first | rfl | omega
lemma jacobi_tail (a : ℝ) (k : ℕ) :
(jacobi a (k + 1)).submatrix Fin.succ Fin.succ = jacobi a k := by
ext i j
simp only [Matrix.submatrix_apply, jacobi, Fin.val_succ, Nat.add_right_cancel_iff,
Nat.cast_add, Nat.cast_one]
split_ifs <;> congr 1 <;> ring
lemma jacobi_row_zero (a : ℝ) (k : ℕ) (j : Fin k) : jacobi a (k + 2) 0 j.succ.succ = 0 := by
simp [jacobi]
lemma jacobi_col_zero (a : ℝ) (k : ℕ) (i : Fin k) : jacobi a (k + 2) i.succ.succ 0 = 0 := by
simp [jacobi]
lemma jacobi_first_super (a : ℝ) (k : ℕ) :
jacobi a (k + 2) 0 1 = Real.sqrt (a * (k + 1)) := by
simp [jacobi]
congr 1
ring
lemma jacobi_first_sub (a : ℝ) (k : ℕ) :
jacobi a (k + 2) 1 0 = Real.sqrt (a * (k + 1)) := by
simp [jacobi]
congr 1
ring
lemma charmatrix_jacobi_tail (a : ℝ) (k : ℕ) :
((jacobi a (k + 1)).charmatrix).submatrix Fin.succ Fin.succ =
(jacobi a k).charmatrix := by
ext i j
by_cases hij : i = j
· subst j
simp [jacobi_diagonal]
· simp [hij, charmatrix_apply_ne, ← jacobi_tail a k]
lemma jacobi_charpoly_step {a : ℝ} (ha : 0 ≤ a) (k : ℕ) :
(jacobi a (k + 2)).charpoly = X * (jacobi a (k + 1)).charpoly -
C (a * (k + 1)) * (jacobi a k).charpoly := by
have hr (j : Fin k) : (jacobi a (k + 2)).charmatrix 0 j.succ.succ = 0 := by
rw [charmatrix_apply_ne _ _ _ (by simp only [ne_eq, Fin.ext_iff, Fin.val_zero, Fin.val_succ]; omega), jacobi_row_zero]
simp
have hc (i : Fin k) : (jacobi a (k + 2)).charmatrix i.succ.succ 0 = 0 := by
rw [charmatrix_apply_ne _ _ _ (by simp only [ne_eq, Fin.ext_iff, Fin.val_zero, Fin.val_succ]; omega), jacobi_col_zero]
simp
unfold Matrix.charpoly
rw [det_tridiagonal_step k _ hr hc, charmatrix_apply_eq, jacobi_diagonal,
map_zero, sub_zero, charmatrix_jacobi_tail,
charmatrix_apply_ne _ _ _ (by simp only [ne_eq, Fin.ext_iff, Fin.val_zero, Fin.val_one]; omega : (0 : Fin (k + 2)) ≠ 1),
charmatrix_apply_ne _ _ _ (by simp only [ne_eq, Fin.ext_iff, Fin.val_zero, Fin.val_one]; omega : (1 : Fin (k + 2)) ≠ 0),
jacobi_first_super, jacobi_first_sub, neg_mul_neg, ← map_mul,
← sq, Real.sq_sqrt (by positivity)]
congr 2
rw [← submatrix_submatrix, charmatrix_jacobi_tail, charmatrix_jacobi_tail]
lemma jacobi_charpoly {a : ℝ} (ha : 0 ≤ a) (k : ℕ) :
(jacobi a k).charpoly = scaledHermite a k := by
induction k using Nat.twoStepInduction with
| zero => simp
| one =>
have hz : jacobi a 1 = 0 := by ext i j; fin_cases i; fin_cases j; simp [jacobi]
simp [hz, scaledHermite]
| more k h0 h1 => rw [jacobi_charpoly_step ha, h0, h1, scaledHermite_three_term]
lemma finset_sum_indicator_le_one {ι : Type*} [Fintype ι] (p : ι → Prop)
[DecidablePred p] (hp : ∀ i j, p i → p j → i = j) :
(∑ i, if p i then (1 : ℝ) else 0) ≤ 1 := by
classical
by_cases hex : ∃ i, p i
· obtain ⟨i, hi⟩ := hex
have heq : ∀ j, p j ↔ j = i := fun j => ⟨fun hj => hp j i hj hi, fun h => h ▸ hi⟩
simp_rw [heq]
simp
· simp [not_exists.mp hex]
lemma jacobi_row_norm_bound (n : ℕ) (i : Fin n) :
∑ j : Fin n, ‖jacobi (n : ℝ)⁻¹ n i j‖ ≤ 2 := by
have hn : (0 : ℝ) < n := Nat.cast_pos.mpr (Nat.zero_lt_of_lt i.isLt)
have hentry (k : Fin n) : Real.sqrt ((n : ℝ)⁻¹ * ((n : ℝ) - 1 - k.val)) ≤ 1 := by
apply Real.sqrt_le_one.mpr
have hk : (0 : ℝ) ≤ k.val := Nat.cast_nonneg _
apply (inv_mul_le_iff₀ hn).mpr
linarith
have hpoint (j : Fin n) : ‖jacobi (n : ℝ)⁻¹ n i j‖ ≤
(if i.val + 1 = j.val then 1 else 0) + (if j.val + 1 = i.val then 1 else 0) := by
unfold jacobi
split_ifs <;> simp only [Real.norm_eq_abs, abs_of_nonneg (Real.sqrt_nonneg _),
norm_zero] <;> linarith [hentry i, hentry j]
have h₁ := finset_sum_indicator_le_one (fun j : Fin n => i.val + 1 = j.val)
(fun j k hj hk => Fin.ext (by omega))
have h₂ := finset_sum_indicator_le_one (fun j : Fin n => j.val + 1 = i.val)
(fun j k hj hk => Fin.ext (by omega))
have hb := Finset.sum_le_sum (fun j (_ : j ∈ (Finset.univ : Finset (Fin n))) => hpoint j)
rw [Finset.sum_add_distrib] at hb
linarith
lemma jacobi_hermitian (a : ℝ) (n : ℕ) : (jacobi a n).IsHermitian :=
Matrix.isHermitian_iff_isSymm.mpr (jacobi_symmetric a n)
lemma jacobi_eigenvalue_bound (n : ℕ) (i : Fin n) :
|(jacobi_hermitian (n : ℝ)⁻¹ n).eigenvalues i| ≤ 2 := by
let hA := jacobi_hermitian (n : ℝ)⁻¹ n
have he : Module.End.HasEigenvalue (Matrix.toLin' (jacobi (n : ℝ)⁻¹ n))
(hA.eigenvalues i) := by
apply Module.End.hasEigenvalue_of_hasEigenvector
refine ⟨Module.End.mem_eigenspace_iff.mpr (hA.mulVec_eigenvectorBasis i), ?_⟩
intro h
apply hA.eigenvectorBasis.orthonormal.ne_zero i
ext j
exact congrFun h j
obtain ⟨j, hj⟩ := eigenvalue_mem_ball he
rw [Metric.mem_closedBall, jacobi_diagonal, dist_zero_right, Real.norm_eq_abs] at hj
exact hj.trans ((Finset.sum_le_univ_sum_of_nonneg (fun _ => norm_nonneg _)).trans
(jacobi_row_norm_bound n j))
section
def semicircleResolvent (s : ℝ) : ℝ := (2 + s - Real.sqrt (s * (4 + s))) / 2
def empiricalResolvent {ι : Type*} [Fintype ι] (e : ι → ℝ) (s : ℝ) : ℝ :=
(Fintype.card ι : ℝ)⁻¹ * ∑ i, (s + e i)⁻¹
def empiricalResolventSquare {ι : Type*} [Fintype ι] (e : ι → ℝ) (s : ℝ) : ℝ :=
(Fintype.card ι : ℝ)⁻¹ * ∑ i, (s + e i)⁻¹ ^ 2
lemma semicircle_discriminant_pos {s : ℝ} (hs : 0 < s) : 0 < s * (4 + s) := by positivity
lemma semicircleResolvent_pos {s : ℝ} (hs : 0 < s) : 0 < semicircleResolvent s := by
have hn := Real.sqrt_nonneg (s * (4 + s))
have hsq := Real.sq_sqrt (semicircle_discriminant_pos hs).le
unfold semicircleResolvent
nlinarith
lemma semicircleResolvent_le_one {s : ℝ} (hs : 0 ≤ s) : semicircleResolvent s ≤ 1 := by
have hn := Real.sqrt_nonneg (s * (4 + s))
have hsq := Real.sq_sqrt (show 0 ≤ s * (4 + s) by positivity)
unfold semicircleResolvent
nlinarith
lemma semicircleResolvent_deficit {s : ℝ} (hs : 0 ≤ s) :
1 - semicircleResolvent s ≤ Real.sqrt s := by
have hn := Real.sqrt_nonneg (s * (4 + s))
have hsq := Real.sq_sqrt (show 0 ≤ s * (4 + s) by positivity)
have hb := Real.sqrt_nonneg s
have hb2 := Real.sq_sqrt hs
unfold semicircleResolvent
nlinarith [mul_nonneg hs hb]
lemma semicircleResolvent_difference {s : ℝ} (hs : 0 ≤ s) :
semicircleResolvent (s / 2) - semicircleResolvent s ≤ Real.sqrt s := by
have := semicircleResolvent_le_one (show 0 ≤ s / 2 by positivity)
have := semicircleResolvent_deficit hs
linarith
lemma semicircle_discriminant_lower {s : ℝ} (hs : 0 ≤ s) :
2 * Real.sqrt s ≤ Real.sqrt (s * (4 + s)) := by
have hn := Real.sqrt_nonneg (s * (4 + s))
have hsq := Real.sq_sqrt (show 0 ≤ s * (4 + s) by positivity)
have hb := Real.sqrt_nonneg s
have hb2 := Real.sq_sqrt hs
nlinarith
variable {ι : Type*} [Fintype ι] [Nonempty ι] (e : ι → ℝ) (he : ∀ i, 0 ≤ e i)
include he
lemma empiricalResolvent_pos {s : ℝ} (hs : 0 < s) : 0 < empiricalResolvent e s := by
unfold empiricalResolvent
apply mul_pos (inv_pos.mpr (Nat.cast_pos.mpr Fintype.card_pos))
exact Finset.sum_pos (fun i _ => inv_pos.mpr (add_pos_of_pos_of_nonneg hs (he i))) Finset.univ_nonempty
lemma empiricalResolventSquare_pos {s : ℝ} (hs : 0 < s) : 0 < empiricalResolventSquare e s := by
unfold empiricalResolventSquare
apply mul_pos (inv_pos.mpr (Nat.cast_pos.mpr Fintype.card_pos))
exact Finset.sum_pos (fun i _ => sq_pos_of_pos (inv_pos.mpr
(add_pos_of_pos_of_nonneg hs (he i)))) Finset.univ_nonempty
lemma empiricalResolvent_le_inv {s : ℝ} (hs : 0 < s) : empiricalResolvent e s ≤ s⁻¹ := by
have hn : (0 : ℝ) < Fintype.card ι := Nat.cast_pos.mpr Fintype.card_pos
calc
_ ≤ (Fintype.card ι : ℝ)⁻¹ * ∑ _i : ι, s⁻¹ := by
apply mul_le_mul_of_nonneg_left _ (inv_nonneg.mpr hn.le)
apply Finset.sum_le_sum
intro i _
exact (inv_le_inv₀ (add_pos_of_pos_of_nonneg hs (he i)) hs).mpr (le_add_of_nonneg_right (he i))
_ = s⁻¹ := by simp [hn.ne']
omit [Nonempty ι] in
lemma empiricalResolvent_continuousOn : ContinuousOn (empiricalResolvent e) (Set.Ioi 0) := by
apply ContinuousOn.const_mul
apply continuousOn_finsetSum
intro i _
apply ContinuousOn.inv₀ (continuousOn_id.add continuousOn_const)
intro s hs
exact ne_of_gt (add_pos_of_pos_of_nonneg hs (he i))
omit [Nonempty ι] in
lemma empiricalResolvent_hasDerivAt {s : ℝ} (hs : 0 < s) :
HasDerivAt (empiricalResolvent e) (-empiricalResolventSquare e s) s := by
have h (i : ι) : HasDerivAt (fun u : ℝ => (u + e i)⁻¹) (-(s + e i)⁻¹ ^ 2) s := by
convert! ((hasDerivAt_id s).add_const (e i)).inv (ne_of_gt
(add_pos_of_pos_of_nonneg hs (he i))) using 1
simp only [neg_div, one_div, inv_pow, id_eq]
convert! (HasDerivAt.fun_sum (u := Finset.univ) (fun i _ => h i)).const_mul
(Fintype.card ι : ℝ)⁻¹ using 1
simp only [empiricalResolventSquare, Finset.sum_neg_distrib, mul_neg]
lemma empiricalResolvent_square_difference {s : ℝ} (hs : 0 < s) :
empiricalResolventSquare e s ≤ 2 / s *
(empiricalResolvent e (s / 2) - empiricalResolvent e s) := by
have hn : (0 : ℝ) < Fintype.card ι := Nat.cast_pos.mpr Fintype.card_pos
have hpoint (i : ι) : (s + e i)⁻¹ ^ 2 ≤ 2 / s * ((s / 2 + e i)⁻¹ - (s + e i)⁻¹) := by
have hi : 0 < s + e i := by linarith [he i]
have hi2 : 0 < s / 2 + e i := by linarith [he i]
have hval : 2 / s * ((s / 2 + e i)⁻¹ - (s + e i)⁻¹) =
((s / 2 + e i) * (s + e i))⁻¹ := by
rw [inv_sub_inv hi2.ne' hi.ne',
show s + e i - (s / 2 + e i) = s / 2 by ring, ← mul_div_assoc,
show 2 / s * (s / 2) = 1 by field_simp, one_div]
rw [hval, inv_pow]
apply (inv_le_inv₀ (sq_pos_of_pos hi) (mul_pos hi2 hi)).mpr
nlinarith
unfold empiricalResolventSquare empiricalResolvent
calc
_ ≤ (Fintype.card ι : ℝ)⁻¹ * ∑ i, 2 / s * ((s / 2 + e i)⁻¹ - (s + e i)⁻¹) :=
mul_le_mul_of_nonneg_left (Finset.sum_le_sum (fun i _ => hpoint i)) (inv_nonneg.mpr hn.le)
_ = _ := by rw [← Finset.mul_sum, Finset.sum_sub_distrib]; ring
lemma empiricalResolvent_lt_midpoint
(hR : ∀ s : ℝ, 0 < s →
(empiricalResolvent e s) ^ 2 - (2 + s) * empiricalResolvent e s + 1 =
empiricalResolventSquare e s / Fintype.card ι)
{s : ℝ} (hs : 0 < s) : empiricalResolvent e s < (2 + s) / 2 := by
by_contra hbad
have hn : (0 : ℝ) < Fintype.card ι := Nat.cast_pos.mpr Fintype.card_pos
let f : ℝ → ℝ := fun u => (2 + u) / 2 - empiricalResolvent e u
have hfs : f s ≤ 0 := by dsimp [f]; linarith
have hft : 0 ≤ f (s + 2) := by
have hb := empiricalResolvent_le_inv e he (show 0 < s + 2 by linarith)
have hinv : (s + 2)⁻¹ ≤ 1 := (inv_le_one₀ (by linarith)).mpr (by linarith)
dsimp [f]
linarith
have hc : ContinuousOn f (Set.Icc s (s + 2)) := by
apply ContinuousOn.sub
· exact (continuous_const.add continuous_id).continuousOn.div_const 2
· exact (empiricalResolvent_continuousOn e he).mono (fun u hu => lt_of_lt_of_le hs hu.1)
obtain ⟨u, hu, hzero⟩ := intermediate_value_Icc (show s ≤ s + 2 by linarith) hc ⟨hfs, hft⟩
have hu0 : 0 < u := lt_of_lt_of_le hs hu.1
have hid := hR u hu0
have ht : 0 < empiricalResolventSquare e u / Fintype.card ι :=
div_pos (empiricalResolventSquare_pos e he hu0) hn
dsimp [f] at hzero
nlinarith
lemma empiricalResolvent_lt_semicircle
(hR : ∀ s : ℝ, 0 < s →
(empiricalResolvent e s) ^ 2 - (2 + s) * empiricalResolvent e s + 1 =
empiricalResolventSquare e s / Fintype.card ι)
{s : ℝ} (hs : 0 < s) : empiricalResolvent e s < semicircleResolvent s := by
have hn : (0 : ℝ) < Fintype.card ι := Nat.cast_pos.mpr Fintype.card_pos
have hmid := empiricalResolvent_lt_midpoint e he hR hs
have hid := hR s hs
have ht : 0 < empiricalResolventSquare e s / Fintype.card ι :=
div_pos (empiricalResolventSquare_pos e he hs) hn
have hsq := Real.sq_sqrt (semicircle_discriminant_pos hs).le
have hpos := Real.sqrt_nonneg (s * (4 + s))
unfold semicircleResolvent
nlinarith
lemma empiricalResolvent_root_difference
(hR : ∀ s : ℝ, 0 < s →
(empiricalResolvent e s) ^ 2 - (2 + s) * empiricalResolvent e s + 1 =
empiricalResolventSquare e s / Fintype.card ι)
{s : ℝ} (hs : 0 < s) :
0 ≤ semicircleResolvent s - empiricalResolvent e s ∧
semicircleResolvent s - empiricalResolvent e s ≤
empiricalResolventSquare e s /
((Fintype.card ι : ℝ) * Real.sqrt (s * (4 + s))) := by
have hd := (empiricalResolvent_lt_semicircle e he hR hs).le
refine ⟨sub_nonneg.mpr hd, ?_⟩
have hn : (0 : ℝ) < Fintype.card ι := Nat.cast_pos.mpr Fintype.card_pos
have hpos : 0 < Real.sqrt (s * (4 + s)) := Real.sqrt_pos.mpr (semicircle_discriminant_pos hs)
have hsq := Real.sq_sqrt (semicircle_discriminant_pos hs).le
have hid := hR s hs
apply (le_div_iff₀ (mul_pos hn hpos)).mpr
have hid' := (eq_div_iff hn.ne').mp hid
unfold semicircleResolvent at *
nlinarith [sq_nonneg ((2 + s - Real.sqrt (s * (4 + s))) / 2 - empiricalResolvent e s)]
lemma empiricalResolventSquare_bound
(hR : ∀ s : ℝ, 0 < s →
(empiricalResolvent e s) ^ 2 - (2 + s) * empiricalResolvent e s + 1 =
empiricalResolventSquare e s / Fintype.card ι)
{s : ℝ} (hs : 0 < s)
(hscale : 4 ≤ (Fintype.card ι : ℝ) * s * Real.sqrt (s * (4 + s))) :
empiricalResolventSquare e s ≤ 4 / Real.sqrt s := by
have hn : (0 : ℝ) < Fintype.card ι := Nat.cast_pos.mpr Fintype.card_pos
have hsp := Real.sqrt_pos.mpr hs
have hsq := Real.sq_sqrt hs.le
have hdisc := Real.sqrt_pos.mpr (semicircle_discriminant_pos hs)
have hd := empiricalResolvent_root_difference e he hR hs
have hhalf := (empiricalResolvent_lt_semicircle e he hR (show 0 < s / 2 by positivity)).le
have hdiff := semicircleResolvent_difference hs.le
have hb := empiricalResolvent_square_difference e he hs
have hT := (empiricalResolventSquare_pos e he hs).le
have hd' : 2 * (semicircleResolvent s - empiricalResolvent e s) ≤
s * empiricalResolventSquare e s / 2 := by
have hden : 0 < (Fintype.card ι : ℝ) * Real.sqrt (s * (4 + s)) := mul_pos hn hdisc
have hmul := (le_div_iff₀ hden).mp hd.2
have hscl : 4 ≤ s * ((Fintype.card ι : ℝ) * Real.sqrt (s * (4 + s))) := by nlinarith
have hm := mul_le_mul_of_nonneg_right hscl hd.1
have hm2 := mul_le_mul_of_nonneg_left hmul hs.le
nlinarith
have hb' : s * empiricalResolventSquare e s ≤
2 * (empiricalResolvent e (s / 2) - empiricalResolvent e s) := by
have := (mul_le_mul_of_nonneg_left hb hs.le)
field_simp at this
nlinarith
apply (le_div_iff₀ hsp).mpr
have hmain : s * empiricalResolventSquare e s ≤ 4 * Real.sqrt s := by linarith
have := mul_le_mul_of_nonneg_right hmain hsp.le
nlinarith
lemma empiricalResolvent_error_bound
(hR : ∀ s : ℝ, 0 < s →
(empiricalResolvent e s) ^ 2 - (2 + s) * empiricalResolvent e s + 1 =
empiricalResolventSquare e s / Fintype.card ι)
{s : ℝ} (hs : 0 < s)
(hscale : 4 ≤ (Fintype.card ι : ℝ) * s * Real.sqrt (s * (4 + s))) :
0 ≤ semicircleResolvent s - empiricalResolvent e s ∧
semicircleResolvent s - empiricalResolvent e s ≤ 2 / ((Fintype.card ι : ℝ) * s) := by
have hn : (0 : ℝ) < Fintype.card ι := Nat.cast_pos.mpr Fintype.card_pos
have hsp := Real.sqrt_pos.mpr hs
have hsq := Real.sq_sqrt hs.le
have hdisc := Real.sqrt_pos.mpr (semicircle_discriminant_pos hs)
have hd := empiricalResolvent_root_difference e he hR hs
refine ⟨hd.1, ?_⟩
have hT := empiricalResolventSquare_bound e he hR hs hscale
have hlow := semicircle_discriminant_lower hs.le
have hd' := (le_div_iff₀ (mul_pos hn hdisc)).mp hd.2
have hT' := (le_div_iff₀ hsp).mp hT
have hm := mul_le_mul_of_nonneg_right hd' hsp.le
have hlow' := mul_le_mul_of_nonneg_left hlow (mul_nonneg hd.1 hn.le)
have hlow'' := mul_le_mul_of_nonneg_right hlow' hsp.le
apply (le_div_iff₀ (mul_pos hn hs)).mpr
nlinarith
lemma empiricalResolvent_counting {s : ℝ} (hs : 0 < s) :
((Finset.univ.filter (fun i => e i ≤ s)).card : ℝ) ≤
4 * (Fintype.card ι : ℝ) * s ^ 2 * empiricalResolventSquare e s := by
classical
have hn : (0 : ℝ) < Fintype.card ι := Nat.cast_pos.mpr Fintype.card_pos
have hpoint (i : ι) (hi : e i ≤ s) : 1 ≤ 4 * s ^ 2 * (s + e i)⁻¹ ^ 2 := by
have hsi : 0 < s + e i := by linarith [he i]
rw [inv_pow, ← div_eq_mul_inv, le_div_iff₀ (sq_pos_of_pos hsi)]
nlinarith [he i]
calc
_ = ∑ _i ∈ Finset.univ.filter (fun i => e i ≤ s), (1 : ℝ) := by simp
_ ≤ ∑ i ∈ Finset.univ.filter (fun i => e i ≤ s), 4 * s ^ 2 * (s + e i)⁻¹ ^ 2 :=
Finset.sum_le_sum (fun i hi => hpoint i (Finset.mem_filter.mp hi).2)
_ ≤ ∑ i : ι, 4 * s ^ 2 * (s + e i)⁻¹ ^ 2 :=
Finset.sum_le_univ_sum_of_nonneg (fun _ => by positivity)
_ = _ := by
unfold empiricalResolventSquare
rw [← Finset.mul_sum]
field_simp
end
open Matrix Polynomial Filter
noncomputable def jacobiGaps (n : ℕ) (i : Fin n) : ℝ :=
2 - (jacobi_hermitian (n : ℝ)⁻¹ n).eigenvalues i
lemma jacobiGaps_nonneg (n : ℕ) (i : Fin n) : 0 ≤ jacobiGaps n i := by
have := (abs_le.mp (jacobi_eigenvalue_bound n i)).2
exact sub_nonneg.mpr this
lemma hermitian_charpoly_derivative_ratio {ι : Type*} [Fintype ι] [DecidableEq ι]
(A : Matrix ι ι ℝ) (hA : A.IsHermitian) {z : ℝ} (hz : A.charpoly.eval z ≠ 0) :
A.charpoly.derivative.eval z / A.charpoly.eval z = ∑ i, (z - hA.eigenvalues i)⁻¹ := by
rw [hA.splits_charpoly.eval_derivative_div_eval_of_ne_zero hz,
hA.roots_charpoly_eq_eigenvalues, Multiset.map_map]
simp [one_div]
lemma jacobi_charpoly_nonzero {n : ℕ} {s : ℝ} (hs : 0 < s) :
(jacobi (n : ℝ)⁻¹ n).charpoly.eval (2 + s) ≠ 0 := by
rw [(jacobi_hermitian (n : ℝ)⁻¹ n).charpoly_eq, eval_prod]
apply Finset.prod_ne_zero_iff.mpr
intro i _
simp only [eval_sub, eval_X, eval_C, RCLike.ofReal_real_eq_id, id_eq]
have := jacobiGaps_nonneg n i
dsimp [jacobiGaps] at this
linarith
lemma jacobi_logarithmic_ratio {n : ℕ} {s : ℝ} (hs : 0 < s) :
(jacobi (n : ℝ)⁻¹ n).charpoly.derivative.eval (2 + s) /
(jacobi (n : ℝ)⁻¹ n).charpoly.eval (2 + s) =
(n : ℝ) * empiricalResolvent (jacobiGaps n) s := by
by_cases hn : n = 0
· subst n
simp [empiricalResolvent]
· rw [hermitian_charpoly_derivative_ratio _ (jacobi_hermitian (n : ℝ)⁻¹ n)
(jacobi_charpoly_nonzero hs)]
simp only [empiricalResolvent, Fintype.card_fin, ← mul_assoc,
mul_inv_cancel₀ (show (n : ℝ) ≠ 0 from Nat.cast_ne_zero.mpr hn), one_mul]
apply Finset.sum_congr rfl
intro i _
congr 1
simp [jacobiGaps]
ring
lemma jacobi_riccati {n : ℕ} (hn : 0 < n) {s : ℝ} (hs : 0 < s) :
(empiricalResolvent (jacobiGaps n) s) ^ 2 -
(2 + s) * empiricalResolvent (jacobiGaps n) s + 1 =
empiricalResolventSquare (jacobiGaps n) s / n := by
let : NeZero n := ⟨hn.ne'⟩
have hnR : (0 : ℝ) < n := Nat.cast_pos.mpr hn
let p := (jacobi (n : ℝ)⁻¹ n).charpoly
have hp : p.eval (2 + s) ≠ 0 := jacobi_charpoly_nonzero hs
have hpd : HasDerivAt (fun u : ℝ => p.eval (2 + u)) (p.derivative.eval (2 + s)) s := by
convert! (p.hasDerivAt (2 + s)).comp s ((hasDerivAt_id s).const_add 2) using 1
simp only [mul_one]
have hpdd : HasDerivAt (fun u : ℝ => p.derivative.eval (2 + u))
(p.derivative.derivative.eval (2 + s)) s := by
convert! (p.derivative.hasDerivAt (2 + s)).comp s ((hasDerivAt_id s).const_add 2) using 1
simp only [mul_one]
have hratio : HasDerivAt (fun u : ℝ => (n : ℝ)⁻¹ *
(p.derivative.eval (2 + u) / p.eval (2 + u)))
((n : ℝ)⁻¹ * ((p.derivative.derivative.eval (2 + s) * p.eval (2 + s) -
p.derivative.eval (2 + s) * p.derivative.eval (2 + s)) / p.eval (2 + s)^2)) s := by
convert! (hpdd.div hpd hp).const_mul (n : ℝ)⁻¹ using 1
have hlocal : (fun u : ℝ => (n : ℝ)⁻¹ *
(p.derivative.eval (2 + u) / p.eval (2 + u))) =ᶠ[𝓝 s]
empiricalResolvent (jacobiGaps n) := by
filter_upwards [Ioi_mem_nhds hs] with u hu
rw [jacobi_logarithmic_ratio hu, ← mul_assoc, inv_mul_cancel₀ hnR.ne', one_mul]
have hder := (hratio.congr_of_eventuallyEq hlocal.symm).unique
(empiricalResolvent_hasDerivAt (jacobiGaps n) (jacobiGaps_nonneg n) hs)
have hode := congrArg (Polynomial.eval (2 + s)) (scaledHermite_differential (n : ℝ)⁻¹ n)
rw [← jacobi_charpoly (inv_nonneg.mpr hnR.le) n] at hode
rw [eval_zero] at hode
change (C (n : ℝ)⁻¹ * p.derivative.derivative - X * p.derivative + C (n : ℝ) * p).eval (2 + s) = 0 at hode
simp only [eval_add, eval_sub, eval_mul, eval_C, eval_X] at hode
have hv := jacobi_logarithmic_ratio (n := n) hs
change p.derivative.eval (2 + s) / p.eval (2 + s) =
(n : ℝ) * empiricalResolvent (jacobiGaps n) s at hv
change (n : ℝ)⁻¹ * ((p.derivative.derivative.eval (2 + s) * p.eval (2 + s) -
p.derivative.eval (2 + s) * p.derivative.eval (2 + s)) / p.eval (2 + s)^2) =
-empiricalResolventSquare (jacobiGaps n) s at hder
field_simp [hnR.ne', hp] at hode hv hder ⊢
rw [hv] at hode hder
have hh : (n : ℝ) * p.eval (2 + s) ^ 2 *
((n : ℝ) * (empiricalResolvent (jacobiGaps n) s *
(empiricalResolvent (jacobiGaps n) s - (2 + s)) + 1) -
empiricalResolventSquare (jacobiGaps n) s) = 0 := by
linear_combination p.eval (2 + s) * hode - hder
exact sub_eq_zero.mp ((mul_eq_zero.mp hh).resolve_left
(mul_ne_zero hnR.ne' (pow_ne_zero 2 hp)))
lemma jacobi_resolvent_estimates {n : ℕ} (hn : 0 < n) {s : ℝ} (hs : 0 < s)
(hscale : 2 ≤ (n : ℝ) * s * Real.sqrt s) :
empiricalResolventSquare (jacobiGaps n) s ≤ 4 / Real.sqrt s ∧
0 ≤ semicircleResolvent s - empiricalResolvent (jacobiGaps n) s ∧
semicircleResolvent s - empiricalResolvent (jacobiGaps n) s ≤ 2 / (n * s) := by
let : NeZero n := ⟨hn.ne'⟩
have hR : ∀ u : ℝ, 0 < u →
(empiricalResolvent (jacobiGaps n) u) ^ 2 -
(2 + u) * empiricalResolvent (jacobiGaps n) u + 1 =
empiricalResolventSquare (jacobiGaps n) u / Fintype.card (Fin n) := by
intro u hu
simpa using (jacobi_riccati hn hu)
have hscale' : 4 ≤ (Fintype.card (Fin n) : ℝ) * s * Real.sqrt (s * (4 + s)) := by
have := mul_le_mul_of_nonneg_left (semicircle_discriminant_lower hs.le)
(show 0 ≤ (n : ℝ) * s by positivity)
simp only [Fintype.card_fin]
nlinarith
exact ⟨empiricalResolventSquare_bound _ (jacobiGaps_nonneg n) hR hs hscale',
by simpa using empiricalResolvent_error_bound _ (jacobiGaps_nonneg n) hR hs hscale'⟩
lemma jacobi_gap_counting {n : ℕ} (hn : 0 < n) {s : ℝ} (hs : 0 < s)
(hscale : 2 ≤ (n : ℝ) * s * Real.sqrt s) :
((Finset.univ.filter (fun i => jacobiGaps n i ≤ s)).card : ℝ) ≤
16 * (n : ℝ) * s * Real.sqrt s := by
let : NeZero n := ⟨hn.ne'⟩
have hc := empiricalResolvent_counting _ (jacobiGaps_nonneg n) hs
have ht := (jacobi_resolvent_estimates hn hs hscale).1
have hsp := Real.sqrt_pos.mpr hs
have hsq := Real.sq_sqrt hs.le
calc
_ ≤ 4 * (n : ℝ) * s ^ 2 * empiricalResolventSquare (jacobiGaps n) s := by simpa using hc
_ ≤ 4 * (n : ℝ) * s ^ 2 * (4 / Real.sqrt s) := by gcongr
_ = _ := by field_simp; nlinarith
def pathOperator (n : ℕ) : EuclideanSpace ℝ (Fin (n+1)) →ₗ[ℝ]
EuclideanSpace ℝ (Fin (n+1)) := Matrix.toLpLin 2 2 (jacobi ((n+1 : ℝ)⁻¹) (n+1))
lemma pathOperator_symmetric (n : ℕ) : (pathOperator n).IsSymmetric :=
Matrix.isSymmetric_toEuclideanLin_iff.mpr (jacobi_hermitian _ _)
lemma jacobi_edgeCoeff (n : ℕ) (i j : Fin (n+1)) :
jacobi (n+1 : ℝ)⁻¹ (n+1) i j =
(if i.val+1=j.val then edgeCoeff n i.val else 0) +
(if j.val+1=i.val then edgeCoeff n j.val else 0) := by
have hs (k : Fin (n+1)) :
Real.sqrt ((n+1 : ℝ)⁻¹ * ((n+1 : ℝ)-1-k.val)) = edgeCoeff n k.val := by
unfold edgeCoeff
congr 1
field_simp
ring
simp only [jacobi, Nat.cast_add, Nat.cast_one, hs]
split_ifs with h h' h' <;> try rfl
· omega
· simp
· simp
· simp
lemma directed_neighbor_sum (n : ℕ) (u : ℕ → ℝ) :
(∑ i : Fin (n+1), ∑ j : Fin (n+1),
(if i.val+1=j.val then edgeCoeff n i.val else 0) * u i.val * u j.val) =
∑ i ∈ Finset.range n, edgeCoeff n i * u i * u (i+1) := by
rw [Fin.sum_univ_castSucc]
have hl : (∑ j : Fin (n+1),
(if (Fin.last n).val+1=j.val then edgeCoeff n (Fin.last n).val else 0) *
u (Fin.last n).val * u j.val) = 0 := by
apply Finset.sum_eq_zero
intro j _
rw [ite_eq_right (by have := j.isLt; simp only [Fin.val_last]; omega), zero_mul, zero_mul]
rw [hl, add_zero, ← Fin.sum_univ_eq_sum_range]
apply Finset.sum_congr rfl
intro i _
rw [Finset.sum_eq_single i.succ]
· simp
· intro j _ hj
rw [ite_eq_right (fun h => hj (Fin.ext (by simpa using h.symm))), zero_mul, zero_mul]
· simp
lemma pathOperator_inner (n : ℕ) (u : ℕ → ℝ) :
inner ℝ (WithLp.toLp 2 (fun i : Fin (n+1) => u i.val))
(pathOperator n (WithLp.toLp 2 (fun i : Fin (n+1) => u i.val))) =
2 * ∑ i ∈ Finset.range n, edgeCoeff n i * u i * u (i+1) := by
simp only [pathOperator, Matrix.toLpLin_apply, EuclideanSpace.inner_eq_star_dotProduct,
Pi.star_apply, star_trivial, dotProduct, Matrix.mulVec,
jacobi_edgeCoeff, add_mul, Finset.sum_add_distrib]
have hlo : (∑ i : Fin (n+1), (∑ j : Fin (n+1),
(if i.val+1=j.val then edgeCoeff n i.val else 0) * u j.val) * u i.val) =
∑ i ∈ Finset.range n, edgeCoeff n i * u i * u (i+1) := by
convert directed_neighbor_sum n u using 1
apply Finset.sum_congr rfl
intro i _
rw [Finset.sum_mul]
apply Finset.sum_congr rfl
intros
ring
have hhi : (∑ i : Fin (n+1), (∑ j : Fin (n+1),
(if j.val+1=i.val then edgeCoeff n j.val else 0) * u j.val) * u i.val) =
∑ i ∈ Finset.range n, edgeCoeff n i * u i * u (i+1) := by
simp only [Finset.sum_mul]
rw [Finset.sum_comm]
exact directed_neighbor_sum n u
rw [hlo, hhi]
ring
lemma pathOperator_tent_rayleigh {m n r : ℕ} (hm : 0 < m) (hfit : 4*m*r ≤ n)
(c : Fin r → ℝ) :
(2-(4/(m : ℝ)^2 + 2*(4*m*r+1 : ℝ)/(n+1))) * ‖tentMap m n r c‖^2 ≤
inner ℝ (tentMap m n r c) (pathOperator n (tentMap m n r c)) := by
have h := tentCombination_rayleigh hm hfit c
rw [pathEnergy, tentMap_mass] at h
change _ ≤ inner ℝ (WithLp.toLp 2 (fun i : Fin (n+1) => tentCombination m c i.val))
(pathOperator n (WithLp.toLp 2 (fun i : Fin (n+1) => tentCombination m c i.val)))
rw [pathOperator_inner]
nlinarith
lemma pathOperator_eigenvalue_lower {m n r : ℕ} (hm : 0 < m) (hfit : 4*m*r ≤ n)
(i : Fin (n+1)) (hi : i.val < r) :
2-(4/(m : ℝ)^2 + 2*(4*m*r+1 : ℝ)/(n+1)) ≤
(pathOperator_symmetric n).eigenvalues (by simp) i := by
apply eigenvalue_lower_of_subspace (pathOperator_symmetric n) (by simp)
(LinearMap.range (tentMap m n r)) i
· rw [tentMap_rank hm hfit]
exact hi
· rintro x ⟨c, rfl⟩ hx
have h := pathOperator_tent_rayleigh hm hfit c
simpa only [hx, one_pow, mul_one] using h
end CriticalSK
end
end OAI