openAI-math-dataset / lean /OAI /Probability /InvariantIsing /Spectral /FiniteSpectralContinuity.lean
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import OAI.Probability.InvariantIsing.Core.FiniteVariationalBounds
namespace OAI
/-! Continuity under changes of the positive masses of a fixed finite spectral
alphabet. The inverse is compared using its defining resolvent equation. -/
noncomputable section
open Filter Set
open scoped BigOperators Topology
namespace InvariantIsing
variable {ι : Type*} [Fintype ι]
theorem finiteResolvent_tendsto_weights (ρs : ℕ → ι → ℝ) (ρ eig : ι → ℝ)
(hρs : Tendsto ρs atTop (𝓝 ρ)) (b : ℝ) :
Tendsto (fun k => finiteResolvent (ρs k) eig b) atTop (𝓝 (finiteResolvent ρ eig b)) := by
exact tendsto_finsetSum Finset.univ (fun a _ =>
((tendsto_pi_nhds.mp hρs) a).div_const (b - eig a))
theorem finiteInverse_tendsto_weights (ρs : ℕ → ι → ℝ) (ρ eig : ι → ℝ)
(hspos : ∀ k a, 0 < ρs k a) (hssum : ∀ k, ∑ a, ρs k a = 1)
(hpos : ∀ a, 0 < ρ a) (hsum : ∑ a, ρ a = 1)
(hρs : Tendsto ρs atTop (𝓝 ρ))
(xs : ℕ → ℝ) {x : ℝ} (hxs : Tendsto xs atTop (𝓝 x)) (hx : 0 < x) :
Tendsto (fun k => finiteInverse (ρs k) eig (hspos k) (hssum k) (xs k))
atTop (𝓝 (finiteInverse ρ eig hpos hsum x)) := by
have hs := finiteInverse_spec ρ eig hpos hsum hx
have hxp : ∀ᶠ k in atTop, 0 < xs k := hxs.eventually (Ioi_mem_nhds hx)
apply tendsto_order.2
constructor
· intro l hl
by_cases he : ∀ a, eig a < l
· have hR : x < finiteResolvent ρ eig l := by
rw [← hs.2]
exact finiteResolvent_strictAnti (fun a => (hpos a).le) hsum he hl
have ht := hxs.eventually_lt (finiteResolvent_tendsto_weights ρs ρ eig hρs l) hR
filter_upwards [hxp, ht] with k hk hlt
have hsk := finiteInverse_spec (ρs k) eig (hspos k) (hssum k) hk
by_contra hnot
rcases (le_of_not_gt hnot).eq_or_lt with h | h
· rw [← h, hsk.2] at hlt
exact (lt_irrefl _ hlt)
· have hc := finiteResolvent_strictAnti (fun a => (hspos k a).le)
(hssum k) hsk.1 h
rw [hsk.2] at hc
exact (not_lt_of_ge hc.le hlt)
· push Not at he
obtain ⟨a, ha⟩ := he
filter_upwards [hxp] with k hk
exact ha.trans_lt ((finiteInverse_spec (ρs k) eig (hspos k) (hssum k) hk).1 a)
· intro u hu
have he : ∀ a, eig a < u := fun a => (hs.1 a).trans hu
have hR : finiteResolvent ρ eig u < x := by
rw [← hs.2]
exact finiteResolvent_strictAnti (fun a => (hpos a).le) hsum hs.1 hu
have ht := (finiteResolvent_tendsto_weights ρs ρ eig hρs u).eventually_lt hxs hR
filter_upwards [hxp, ht] with k hk hlt
have hsk := finiteInverse_spec (ρs k) eig (hspos k) (hssum k) hk
by_contra hnot
rcases (le_of_not_gt hnot).eq_or_lt with h | h
· rw [h, hsk.2] at hlt
exact (lt_irrefl _ hlt)
· have hc := finiteResolvent_strictAnti (fun a => (hspos k a).le) (hssum k) he h
rw [hsk.2] at hc
exact (not_lt_of_ge hc.le hlt)
theorem finiteR_tendsto_weights_pos (ρs : ℕ → ι → ℝ) (ρ eig : ι → ℝ)
(hspos : ∀ k a, 0 < ρs k a) (hssum : ∀ k, ∑ a, ρs k a = 1)
(hpos : ∀ a, 0 < ρ a) (hsum : ∑ a, ρ a = 1)
(hρs : Tendsto ρs atTop (𝓝 ρ))
(xs : ℕ → ℝ) {x : ℝ} (hxs : Tendsto xs atTop (𝓝 x)) (hx : 0 < x) :
Tendsto (fun k => finiteR (ρs k) eig (hspos k) (hssum k) (xs k))
atTop (𝓝 (finiteR ρ eig hpos hsum x)) := by
have hb := finiteInverse_tendsto_weights ρs ρ eig hspos hssum hpos hsum hρs xs hxs hx
have hi : Tendsto (fun k => 1 / xs k) atTop (𝓝 (1 / x)) :=
tendsto_const_nhds.div hxs hx.ne'
have he : (fun k => finiteR (ρs k) eig (hspos k) (hssum k) (xs k)) =ᶠ[atTop]
(fun k => finiteInverse (ρs k) eig (hspos k) (hssum k) (xs k) - 1 / xs k) := by
filter_upwards [hxs.eventually (Ioi_mem_nhds hx)] with k hk
simp only [finiteR, ite_eq_left hk]
have hl : Tendsto
(fun k => finiteInverse (ρs k) eig (hspos k) (hssum k) (xs k) - 1 / xs k)
atTop (𝓝 (finiteR ρ eig hpos hsum x)) := by
simpa only [finiteR, ite_eq_left hx] using hb.sub hi
exact hl.congr' he.symm
theorem finiteR_tendsto_weights_zero (ρs : ℕ → ι → ℝ) (ρ eig : ι → ℝ)
(hspos : ∀ k a, 0 < ρs k a) (hssum : ∀ k, ∑ a, ρs k a = 1)
(hpos : ∀ a, 0 < ρ a) (hsum : ∑ a, ρ a = 1)
(hρs : Tendsto ρs atTop (𝓝 ρ))
(xs : ℕ → ℝ) (hxs : Tendsto xs atTop (𝓝 0)) :
Tendsto (fun k => finiteR (ρs k) eig (hspos k) (hssum k) (xs k))
atTop (𝓝 (finiteR ρ eig hpos hsum 0)) := by
let K := 1 + ∑ a, |eig a|
have hK : 0 < K := by
have := Finset.sum_nonneg (s := Finset.univ) (fun a _ => abs_nonneg (eig a))
dsimp only [K]
linarith
have heig a : |eig a| ≤ K := by
have := Finset.single_le_sum (f := fun a => |eig a|)
(fun a _ => abs_nonneg (eig a)) (Finset.mem_univ a)
dsimp only [K]
linarith
have hsmall : ∀ᶠ k in atTop, xs k < 1 / (4 * K) :=
hxs.eventually (Iio_mem_nhds (by positivity))
have herr : ∀ᶠ k in atTop,
‖finiteR (ρs k) eig (hspos k) (hssum k) (xs k) - ∑ a, ρs k a * eig a‖ ≤
8 * K ^ 2 * |xs k| := by
filter_upwards [hsmall] with k hk
rw [Real.norm_eq_abs]
by_cases hxk : 0 < xs k
· rw [abs_of_nonneg (sub_nonneg.mpr (mean_le_finiteR (ρs k) eig
(hspos k) (hssum k) hxk)), abs_of_pos hxk]
apply finiteR_sub_mean_le (ρs k) eig (hspos k) (hssum k) hK.le heig hxk
have := (lt_div_iff₀ (show 0 < 4 * K by positivity)).mp hk
nlinarith
· simp only [finiteR, ite_eq_right hxk, sub_self, abs_zero]
positivity
have hb : Tendsto (fun k => 8 * K ^ 2 * |xs k|) atTop (𝓝 0) := by
simpa using hxs.abs.const_mul (8 * K ^ 2)
have hz := squeeze_zero_norm' herr hb
have hm : Tendsto (fun k => ∑ a, ρs k a * eig a) atTop (𝓝 (∑ a, ρ a * eig a)) :=
tendsto_finsetSum Finset.univ (fun a _ => ((tendsto_pi_nhds.mp hρs) a).mul_const _)
simpa only [sub_add_cancel, zero_add, finiteR, lt_self_iff_false, ite_false] using hz.add hm
theorem finiteR_tendsto_weights_nonneg (ρs : ℕ → ι → ℝ) (ρ eig : ι → ℝ)
(hspos : ∀ k a, 0 < ρs k a) (hssum : ∀ k, ∑ a, ρs k a = 1)
(hpos : ∀ a, 0 < ρ a) (hsum : ∑ a, ρ a = 1)
(hρs : Tendsto ρs atTop (𝓝 ρ))
(xs : ℕ → ℝ) {x : ℝ} (hxs : Tendsto xs atTop (𝓝 x)) (hx : 0 ≤ x) :
Tendsto (fun k => finiteR (ρs k) eig (hspos k) (hssum k) (xs k))
atTop (𝓝 (finiteR ρ eig hpos hsum x)) := by
rcases hx.eq_or_lt with hx | hx
· subst x
exact finiteR_tendsto_weights_zero ρs ρ eig hspos hssum hpos hsum hρs xs hxs
· exact finiteR_tendsto_weights_pos ρs ρ eig hspos hssum hpos hsum hρs xs hxs hx
/-- Uniformity on the whole interval includes the transform's value at zero. -/
theorem finiteR_uniform_weights (ρs : ℕ → ι → ℝ) (ρ eig : ι → ℝ)
(hspos : ∀ k a, 0 < ρs k a) (hssum : ∀ k, ∑ a, ρs k a = 1)
(hpos : ∀ a, 0 < ρ a) (hsum : ∑ a, ρ a = 1)
(hρs : Tendsto ρs atTop (𝓝 ρ)) :
∀ ε : ℝ, 0 < ε → ∀ᶠ k in atTop, ∀ x ∈ Icc (0 : ℝ) 1,
|finiteR (ρs k) eig (hspos k) (hssum k) x - finiteR ρ eig hpos hsum x| < ε := by
classical
intro ε hε
by_contra hbad
have hbad' : ∃ᶠ k in atTop, ∃ x ∈ Icc (0 : ℝ) 1,
ε ≤ |finiteR (ρs k) eig (hspos k) (hssum k) x - finiteR ρ eig hpos hsum x| := by
simpa only [Filter.not_eventually, not_forall, not_imp, not_lt, exists_prop] using hbad
obtain ⟨φ, hφ, hφbad⟩ := extraction_of_frequently_atTop hbad'
choose xs hxs herror using hφbad
obtain ⟨x, hx, ψ, hψ, hlim⟩ := isCompact_Icc.tendsto_subseq hxs
have hweights := hρs.comp (hφ.comp hψ).tendsto_atTop
have hR := finiteR_tendsto_weights_nonneg
(fun k => ρs (φ (ψ k))) ρ eig (fun k => hspos (φ (ψ k)))
(fun k => hssum (φ (ψ k))) hpos hsum hweights (fun k => xs (ψ k)) hlim hx.1
have hfixed := (continuous_finiteR ρ eig hpos hsum).continuousAt.tendsto.comp hlim
have hdiff := (hR.sub hfixed).abs
have hzero : Tendsto (fun k =>
|finiteR (ρs (φ (ψ k))) eig (hspos (φ (ψ k))) (hssum (φ (ψ k))) (xs (ψ k)) -
finiteR ρ eig hpos hsum (xs (ψ k))|) atTop (𝓝 0) := by
simpa only [Function.comp_apply, sub_self, abs_zero] using hdiff
have hsmall : ∀ᶠ k in atTop,
|finiteR (ρs (φ (ψ k))) eig (hspos (φ (ψ k))) (hssum (φ (ψ k))) (xs (ψ k)) -
finiteR ρ eig hpos hsum (xs (ψ k))| < ε := by
exact hzero.eventually (Iio_mem_nhds hε)
obtain ⟨k, hk⟩ := hsmall.exists
exact (not_le_of_gt hk) (herror (ψ k))
theorem finiteVariational_tendsto_weights (ρs : ℕ → ι → ℝ) (ρ eig : ι → ℝ)
(hspos : ∀ k a, 0 < ρs k a) (hssum : ∀ k, ∑ a, ρs k a = 1)
(hpos : ∀ a, 0 < ρ a) (hsum : ∑ a, ρ a = 1)
(hρs : Tendsto ρs atTop (𝓝 ρ)) :
Tendsto (fun k => (variationalFunctional (finiteR (ρs k) eig (hspos k) (hssum k))).toReal)
atTop (𝓝 (variationalFunctional (finiteR ρ eig hpos hsum)).toReal) := by
have hf := finiteVariational_ne_top_bot ρ eig hpos hsum
apply Metric.tendsto_nhds.mpr
intro ε hε
filter_upwards [finiteR_uniform_weights ρs ρ eig hspos hssum hpos hsum hρs ε hε] with k hk
have hfk := finiteVariational_ne_top_bot (ρs k) eig (hspos k) (hssum k)
have hleft := variationalFunctional_le_add (finiteR (ρs k) eig (hspos k) (hssum k))
(finiteR ρ eig hpos hsum) (continuous_finiteR (ρs k) eig (hspos k) (hssum k))
(continuous_finiteR ρ eig hpos hsum) ε (fun x hx => (hk x hx).le)
have hright := variationalFunctional_le_add (finiteR ρ eig hpos hsum)
(finiteR (ρs k) eig (hspos k) (hssum k)) (continuous_finiteR ρ eig hpos hsum)
(continuous_finiteR (ρs k) eig (hspos k) (hssum k)) ε
(fun x hx => by simpa only [abs_sub_comm] using (hk x hx).le)
rw [← EReal.coe_toReal hfk.1 hfk.2, ← EReal.coe_toReal hf.1 hf.2,
← EReal.coe_add, EReal.coe_le_coe_iff] at hleft hright
rw [Real.dist_eq, abs_lt]
constructor <;> linarith
end InvariantIsing
end
end OAI