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Add lean source and binary files (part 40)
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import Mathlib.Analysis.Normed.Group.Tannery
import Mathlib.Analysis.Normed.Module.FiniteDimension
import Mathlib.Tactic
import Mathlib.Topology.Instances.Real.Lemmas
import Mathlib.Topology.Sequences
namespace OAI
open Filter Finset
open scoped Topology
namespace Balanced
open scoped _root_.Balanced
theorem tendsto_tsum_abs_sub_of_probability_mass
{ι α : Type*} {l : Filter α} {p : α → ι → ℝ} {q : ι → ℝ}
(hp_nonneg : ∀ n i, 0 ≤ p n i) (hq_nonneg : ∀ i, 0 ≤ q i)
(hp_sum : ∀ n, HasSum (p n) 1) (hq_sum : HasSum q 1)
(hpoint : ∀ i, Tendsto (fun n => p n i) l (𝓝 (q i))) :
Tendsto (fun n => ∑' i, |p n i - q i|) l (𝓝 0) := by
have hmin_summable (n : α) : Summable (fun i => min (p n i) (q i)) := by
apply hq_sum.summable.of_nonneg_of_le
· intro i
exact le_min (hp_nonneg n i) (hq_nonneg i)
· intro i
exact min_le_right _ _
have hmin : Tendsto (fun n => ∑' i, min (p n i) (q i)) l (𝓝 1) := by
rw [← hq_sum.tsum_eq]
apply tendsto_tsum_of_dominated_convergence hq_sum.summable
· intro i
simpa using (hpoint i).min (tendsto_const_nhds (x := q i))
· exact Filter.Eventually.of_forall fun n i => by
rw [Real.norm_eq_abs, abs_of_nonneg (le_min (hp_nonneg n i) (hq_nonneg i))]
exact min_le_right _ _
have hid (n : α) : (∑' i, |p n i - q i|) = 2 - 2 * ∑' i, min (p n i) (q i) := by
calc
(∑' i, |p n i - q i|) = ∑' i, (p n i + q i - 2 * min (p n i) (q i)) := by
apply tsum_congr
intro i
rcases le_total (p n i) (q i) with h | h
· rw [min_eq_left h, abs_of_nonpos (sub_nonpos.mpr h)]
ring
· rw [min_eq_right h, abs_of_nonneg (sub_nonneg.mpr h)]
ring
_ = 2 - 2 * ∑' i, min (p n i) (q i) := by
rw [((hp_sum n).summable.add hq_sum.summable).tsum_sub
((hmin_summable n).mul_left 2),
(hp_sum n).summable.tsum_add hq_sum.summable, tsum_mul_left,
(hp_sum n).tsum_eq, hq_sum.tsum_eq]
norm_num
simp_rw [hid]
have hlim := (tendsto_const_nhds (x := (2 : ℝ))).sub
((tendsto_const_nhds (x := (2 : ℝ))).mul hmin)
simpa using hlim
theorem tendsto_totalVariation_of_probability_mass
{ι α : Type*} {l : Filter α} {p : α → ι → ℝ} {q : ι → ℝ}
(hp_nonneg : ∀ n i, 0 ≤ p n i) (hq_nonneg : ∀ i, 0 ≤ q i)
(hp_sum : ∀ n, HasSum (p n) 1) (hq_sum : HasSum q 1)
(hpoint : ∀ i, Tendsto (fun n => p n i) l (𝓝 (q i))) :
Tendsto (fun n => (1 / 2 : ℝ) * ∑' i, |p n i - q i|) l (𝓝 0) := by
simpa using tendsto_const_nhds.mul
(tendsto_tsum_abs_sub_of_probability_mass hp_nonneg hq_nonneg hp_sum hq_sum hpoint)
theorem profile_tail_le_of_moment
{ι : Type*} (w : ι → ℕ) (p : ι → ℝ) (M : ℝ) (B : ℕ)
(hp : ∀ i, 0 ≤ p i) (hs : Summable p)
(hws : Summable (fun i => (w i : ℝ) * p i))
(hM : (∑' i, (w i : ℝ) * p i) ≤ M) :
(∑' i : {i // B < w i}, p i) ≤ M / (B + 1 : ℝ) := by
have hB : (0 : ℝ) < B + 1 := by positivity
apply (le_div_iff₀ hB).2
rw [← tsum_mul_right]
calc
(∑' i : {i // B < w i}, p i * (B + 1 : ℝ)) ≤
∑' i : {i // B < w i}, (w i : ℝ) * p i := by
apply Summable.tsum_le_tsum
· intro i
have hi : (B + 1 : ℝ) ≤ (w i : ℝ) := by exact_mod_cast i.property
nlinarith [hp i]
· exact (hs.subtype _).mul_right _
· exact hws.subtype _
_ ≤ ∑' i, (w i : ℝ) * p i := by
exact Summable.tsum_subtype_le _ _ (fun i => mul_nonneg (Nat.cast_nonneg _) (hp i)) hws
_ ≤ M := hM
theorem hasSum_one_of_tendsto_of_tight
{ι α : Type*} {l : Filter α} [l.NeBot]
{p : α → ι → ℝ} {q : ι → ℝ}
(hp_nonneg : ∀ n i, 0 ≤ p n i) (hp_sum : ∀ n, HasSum (p n) 1)
(hpoint : ∀ i, Tendsto (fun n => p n i) l (𝓝 (q i)))
(htight : ∀ ε : ℝ, 0 < ε → ∃ s : Finset ι, ∀ n, 1 - ε ≤ ∑ i ∈ s, p n i) :
HasSum q 1 := by
have hq_nonneg (i : ι) : 0 ≤ q i :=
ge_of_tendsto (hpoint i) (Filter.Eventually.of_forall fun n => hp_nonneg n i)
have hfinite (s : Finset ι) : ∑ i ∈ s, q i ≤ 1 := by
apply le_of_tendsto (tendsto_finsetSum s fun i _ => hpoint i)
exact Filter.Eventually.of_forall fun n => by
simpa only [(hp_sum n).tsum_eq] using
(hp_sum n).summable.sum_le_tsum s (fun i _ => hp_nonneg n i)
have hq_summable : Summable q := summable_of_sum_le hq_nonneg hfinite
have hq_le : (∑' i, q i) ≤ 1 := hq_summable.tsum_le_of_sum_le hfinite
have hq_ge : 1 ≤ ∑' i, q i := by
apply le_of_forall_pos_le_add
intro ε hε
obtain ⟨s, hs⟩ := htight ε hε
have hlim : 1 - ε ≤ ∑ i ∈ s, q i :=
ge_of_tendsto (tendsto_finsetSum s fun i _ => hpoint i)
(Filter.Eventually.of_forall hs)
have hsum := hq_summable.sum_le_tsum s (fun i _ => hq_nonneg i)
linarith
simpa only [le_antisymm hq_le hq_ge] using hq_summable.hasSum
theorem profile_tight_of_moment
{ι α : Type*} (w : ι → ℕ)
(hfinite : ∀ B, Set.Finite {i | w i ≤ B})
{p : α → ι → ℝ} {M : ℝ}
(hp : ∀ n i, 0 ≤ p n i) (hs : ∀ n, HasSum (p n) 1)
(hws : ∀ n, Summable (fun i => (w i : ℝ) * p n i))
(hM : ∀ n, (∑' i, (w i : ℝ) * p n i) ≤ M) :
∀ ε : ℝ, 0 < ε → ∃ s : Finset ι, ∀ n, 1 - ε ≤ ∑ i ∈ s, p n i := by
classical
intro ε hε
obtain ⟨B, hB⟩ := exists_nat_gt (M / ε)
let s := (hfinite B).toFinset
have hset : (↑s : Set ι)ᶜ = {i | B < w i} := by
ext i
simp [s, not_le]
have hratio : M / (B + 1 : ℝ) ≤ ε := by
apply (div_le_iff₀ (by positivity : (0 : ℝ) < B + 1)).2
have haux := (div_lt_iff₀ hε).1 hB
nlinarith
refine ⟨s, fun n => ?_⟩
have htail := profile_tail_le_of_moment w (p n) M B (hp n)
(hs n).summable (hws n) (hM n)
have hsum := (hs n).summable.sum_add_tsum_compl (s := s)
rw [hset, (hs n).tsum_eq] at hsum
change (∑ i ∈ s, p n i) + (∑' i : {i // B < w i}, p n i) = 1 at hsum
linarith
theorem profile_moment_le_of_tendsto
{ι α : Type*} {l : Filter α} [l.NeBot] (w : ι → ℕ)
{p : α → ι → ℝ} {q : ι → ℝ} {M : ℝ}
(hp : ∀ n i, 0 ≤ p n i)
(hws : ∀ n, Summable (fun i => (w i : ℝ) * p n i))
(hM : ∀ n, (∑' i, (w i : ℝ) * p n i) ≤ M)
(hpoint : ∀ i, Tendsto (fun n => p n i) l (𝓝 (q i))) :
Summable (fun i => (w i : ℝ) * q i) ∧
(∑' i, (w i : ℝ) * q i) ≤ M := by
have hq (i : ι) : 0 ≤ q i :=
ge_of_tendsto (hpoint i) (Filter.Eventually.of_forall fun n => hp n i)
have hpartial (s : Finset ι) : ∑ i ∈ s, (w i : ℝ) * q i ≤ M := by
apply le_of_tendsto (tendsto_finsetSum s fun i _ =>
(tendsto_const_nhds (x := (w i : ℝ))).mul (hpoint i))
exact Filter.Eventually.of_forall fun n =>
((hws n).sum_le_tsum s (fun i _ => mul_nonneg (Nat.cast_nonneg _) (hp n i))).trans (hM n)
have hnonneg : ∀ i, 0 ≤ (w i : ℝ) * q i :=
fun i => mul_nonneg (Nat.cast_nonneg _) (hq i)
exact ⟨summable_of_sum_le hnonneg hpartial,
Real.tsum_le_of_sum_le hnonneg hpartial⟩
theorem tendsto_selected_mass_of_probability_mass
{ι α : Type*} {l : Filter α} {p : α → ι → ℝ} {q : ι → ℝ}
(S : Set ι)
(hp_nonneg : ∀ n i, 0 ≤ p n i) (hq_nonneg : ∀ i, 0 ≤ q i)
(hp_sum : ∀ n, HasSum (p n) 1) (hq_sum : HasSum q 1)
(hpoint : ∀ i, Tendsto (fun n => p n i) l (𝓝 (q i))) :
Tendsto (fun n => ∑' i : S, p n i) l (𝓝 (∑' i : S, q i)) := by
have hbound (n : α) :
‖(∑' i : S, p n i) - ∑' i : S, q i‖ ≤ ∑' i, |p n i - q i| := by
have hsub := (hp_sum n).summable.sub hq_sum.summable
have hdiff := ((hp_sum n).summable.subtype S).tsum_sub (hq_sum.summable.subtype S)
simp only [Function.comp_apply] at hdiff
calc
‖(∑' i : S, p n i) - ∑' i : S, q i‖ =
‖∑' i : Subtype S, (p n i.val - q i.val)‖ := congrArg norm hdiff.symm
_ ≤ ∑' i : Subtype S, ‖p n i.val - q i.val‖ :=
norm_tsum_le_tsum_norm ((hsub.subtype S).norm)
_ ≤ ∑' i, |p n i - q i| := by
convert! Summable.tsum_subtype_le (fun i => ‖p n i - q i‖) S
(fun i => norm_nonneg _) hsub.norm using 1
rw [tendsto_iff_norm_sub_tendsto_zero]
exact squeeze_zero (fun n => norm_nonneg _) hbound
(tendsto_tsum_abs_sub_of_probability_mass hp_nonneg hq_nonneg hp_sum hq_sum hpoint)
end Balanced
end OAI