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Add lean source and binary files (part 46)
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import Mathlib
import OAI.Combinatorics.KServer.Tiers
namespace OAI
noncomputable section
open scoped BigOperators
open Finset
namespace KServer.ActualRoster
open RosterLifetimes FiniteBallLaw PartitionProbabilities Chronological
attribute [local instance] Classical.propDecidable Classical.decEq
lemma final_survival {K a : ℕ} (hK : 2 ≤ K) (ha : a+1=K^2) :
actualPresence K a=survive (1/(K:ℝ)) (K^2-K) := by
have hkk : K+1 ≤ K^2 := by nlinarith
have hak : ¬a<K := by omega
have hac : a<K^2 := by omega
have he : a-K+1=K^2-K := by omega
simp only [actualPresence,ite_eq_right hak,ite_eq_left hac,he]
/-- Unconditional marginal death bound. The extra tail is never interpreted
as a conditional compulsory hazard. -/
lemma death_marginal {K a b : ℕ} (hK : 2 ≤ K) (hab : a ≤ b) (hba : b ≤ a+1) :
(∑ d : Lifetime K, if alive K a d ∧ ¬alive K b d then lifetimeLaw K d else 0) ≤
(1/(K:ℝ))*actualPresence K a+
if a<K^2 then survive (1/(K:ℝ)) (K^2-K) else 0 := by
have hk : 1≤K := by omega
have hq := (rate_range hk).1
have hs := (survival_range hk a).1
have ht := (survive_range (rate_range hk) (K^2-K)).1
by_cases he : b=a
· subst b
simp only [and_not_self,ite_false,sum_const_zero]
exact add_nonneg (mul_nonneg hq hs) (by split_ifs <;> positivity)
· have hb : b=a+1 := by omega
subst b
rw [death_probability hk]
by_cases hac : a<K^2
· rw [ite_eq_left hac]
by_cases hbc : a+1<K^2
· exact (ordinary_death_bound hk hbc).trans (le_add_of_nonneg_right ht)
· have heq : a+1=K^2 := by omega
rw [actual_cutoff (a:=a+1) (by omega),sub_zero,final_survival hK heq]
exact le_add_of_nonneg_left (mul_nonneg hq ht)
· rw [ite_eq_right hac,actual_cutoff (le_of_not_gt hac),actual_cutoff (by omega)]
simp
/-- A literal finite lifetime-tape first-coverer estimate. The `S` hypothesis
is only a deterministic candidate count, and is discharged by chronological
ages below. -/
theorem first_retirement_bound {H K : ℕ} (hK : 2 ≤ K)
(a b : Fin H → ℕ) (inc : ∀ i, a i≤b i ∧ b i≤a i+1)
(cover : Fin H → Prop) (S : Finset (Fin H))
(hS : ∀ i, cover i → a i<K^2 → i∈S) (hcard : S.card ≤ K^2) :
PartitionProbabilities.probability (fun _ : Fin H=>lifetimeLaw K)
(firstSeparation (fun i d=>cover i ∧ alive K (a i) d)
(fun i d=>cover i ∧ alive K (a i) d ∧ ¬alive K (b i) d)) ≤ 49/(K:ℝ) := by
have hk : 1≤K := by omega
have hkp : (0:ℝ)<K := by exact_mod_cast (show 0<K by omega)
let T : ℝ := survive (1/(K:ℝ)) (K^2-K)
have hT : 0≤T := (survive_range (rate_range hk) _).1
let ε : Fin H → ℝ := fun i=>if i∈S then (K:ℝ)*T else 0
have heps : ∑ i, ε i=(K:ℝ)*T*S.card := by simp [ε,sum_ite_mem,mul_comm]
have hh := SparseFirstHit.sparse_bound (fun _ : Fin H=>lifetimeLaw K)
(fun _=>lifetime_nonneg hk) (fun _=>lifetime_sum hk)
(hit:=fun i d=>cover i ∧ alive K (a i) d)
(sep:=fun i d=>cover i ∧ alive K (a i) d ∧ ¬alive K (b i) d)
(fun _ _ h=>⟨h.1,h.2.1⟩) ε (rate_range hk).1
(fun i=>by dsimp [ε]; split_ifs <;> positivity)
have hm (i : Fin H) : (∑ d, if cover i ∧ alive K (a i) d ∧ ¬alive K (b i) d then lifetimeLaw K d else 0) ≤
(1/(K:ℝ))*((∑ d, if cover i ∧ alive K (a i) d then lifetimeLaw K d else 0)+ε i) := by
by_cases hc : cover i
· simp only [hc,true_and]
rw [alive_probability hk]
have hd := death_marginal hK (inc i).1 (inc i).2
refine hd.trans ?_
by_cases hy : a i<K^2
· simp only [ite_eq_left hy,ε,ite_eq_left (hS i hc hy)]
dsimp [T]
field_simp
exact le_rfl
· simp only [ite_eq_right hy,add_zero]
exact mul_le_mul_of_nonneg_left (le_add_of_nonneg_right (by dsimp [ε]; split_ifs <;> positivity)) (rate_range hk).1
· simp only [hc,false_and,ite_false,sum_const_zero,zero_add]
exact mul_nonneg (rate_range hk).1 (by dsimp [ε]; split_ifs <;> positivity)
have hb := hh (fun i=>by
convert hm i using 1
· apply sum_congr rfl
intro d _
by_cases h : cover i ∧ alive K (a i) d ∧ ¬alive K (b i) d <;> simp [h]
· apply congrArg (fun z : ℝ=>(1/(K:ℝ))*(z+ε i))
apply sum_congr rfl
intro d _
by_cases h : cover i ∧ alive K (a i) d <;> simp [h])
rw [heps] at hb
have hc : (S.card:ℝ)≤(K:ℝ)^2 := by exact_mod_cast hcard
have hfin : (1/(K:ℝ))*(1+(K:ℝ)*T*S.card) ≤ 1/(K:ℝ)+(K:ℝ)^2*T := by
calc _ ≤ (1/(K:ℝ))*(1+(K:ℝ)*T*(K:ℝ)^2) := by gcongr
_ = _ := by field_simp
exact (hb.trans hfin).trans (actual_retirement_bound K hK)
variable {Y : Type*} [MetricSpace Y] [Fintype Y] {H K : ℕ}
/-- The unconditional first-coverer retirement estimate for an actual fixed
chronological roster and arbitrary fixed radii. Increment bounds follow from
one chronological insertion, not from the realized random presences. -/
theorem chronological_retirement_bound (center : ℕ → Y) (I : Finset ℕ)
{r : ℝ} (hr : 0 < r) (hK : 2≤K) (rad : Fin H → Outcome Y r) (p : Y)
(b : Fin H → ℕ) (hinc : ∀ i : Fin H, age center I (20*r) i≤b i ∧ b i≤age center I (20*r) i+1) :
PartitionProbabilities.probability (fun _ : Fin H=>lifetimeLaw K)
(firstSeparation
(fun i d=>(i:ℕ)∈I ∧ dist (center i) p≤radius r (rad i) ∧ alive K (age center I (20*r) i) d)
(fun i d=>(i:ℕ)∈I ∧ dist (center i) p≤radius r (rad i) ∧
alive K (age center I (20*r) i) d ∧ ¬alive K (b i) d)) ≤49/(K:ℝ) := by
let a : Fin H → ℕ := fun i=>age center I (20*r) i
let pres : Fin H → Prop := fun i=>(i:ℕ)∈I ∧ a i<K^2
let S := SparseFirstHit.candidates r (fun i : Fin H=>center i) pres p p
have hb := first_retirement_bound hK a b hinc
(fun i=>(i:ℕ)∈I ∧ dist (center i) p≤radius r (rad i)) S
(fun i hi ha=>by
simp only [S,SparseFirstHit.candidates,mem_filter,mem_univ,true_and,min_self]
exact ⟨⟨hi.1,ha⟩,hi.2.trans (radius_range hr _).2⟩)
(SparseFirstHit.candidate_count hr.le center I pres (fun _ h=>h) p p (by simpa using hr.le))
simpa only [a,and_assoc] using hb
end KServer.ActualRoster
end
noncomputable section
open scoped BigOperators
open Finset
namespace KServer.ActualRoster
open Chronological FiniteBallLaw PartitionProbabilities
attribute [local instance] Classical.propDecidable Classical.decEq
variable {Y : Type*} [MetricSpace Y] [Fintype Y] {H K : ℕ}
omit [Fintype Y] in
lemma age_insert_bounds (center : ℕ → Y) (I : Finset ℕ) (R : ℝ) (t i : ℕ) :
age center I R i ≤ age center (insert t I) R i ∧
age center (insert t I) R i ≤ age center I R i+1 := by
refine ⟨age_mono center (subset_insert _ _) le_rfl i,?_⟩
unfold age
rw [filter_insert]
split_ifs
· exact card_insert_le _ _
· omega
lemma old_covered_of_new (center : ℕ → Y) (I : Finset ℕ) (r : ℝ) (t : ℕ)
(life : Fin H → Lifetime K) (rad : Fin H → Outcome Y r) (p : Y) (i : Fin H)
(hit : (i:ℕ)≠t) (hi : covered center (insert t I) r life rad p i) :
covered center I r life rad p i := by
refine ⟨⟨(mem_insert.mp hi.1.1).resolve_left hit,?_⟩,hi.2⟩
exact alive_antitone K _ (age_insert_bounds center I (20*r) t i).1 hi.1.2
lemma new_covered_of_persists (center : ℕ → Y) (I : Finset ℕ) (r : ℝ) (t : ℕ)
(life : Fin H → Lifetime K) (rad : Fin H → Outcome Y r) (p : Y) (i : Fin H)
(hi : covered center I r life rad p i) (hp : present center (insert t I) r life i) :
covered center (insert t I) r life rad p i := ⟨hp,hi.2⟩
/-- Chronological appending cannot supersede a surviving first coverer. -/
lemma first_persists (center : ℕ → Y) (I : Finset ℕ) (r : ℝ) (t : ℕ)
(hI : ∀ i∈I, i<t) (life : Fin H → Lifetime K) (rad : Fin H → Outcome Y r)
(p : Y) (i : Fin H) (hfirst : first center I r life rad p=some i)
(hp : present center (insert t I) r life i) :
first center (insert t I) r life rad p=some i := by
obtain ⟨hc,hbefore⟩ := (first_some_iff _ _ _ _ _ _ _).mp hfirst
apply (first_some_iff _ _ _ _ _ _ _).mpr
refine ⟨new_covered_of_persists center I r t life rad p i hc hp,?_⟩
intro j hj hnew
have hji : (j:ℕ) < i := hj
have hit := hI i hc.1.1
exact hbefore j hj (old_covered_of_new center I r t life rad p j (by omega) hnew)
def retired (center : ℕ → Y) (I J : Finset ℕ) (r : ℝ)
(life : Fin H → Lifetime K) (rad : Fin H → Outcome Y r) (p : Y) : Prop :=
∃ i, first center I r life rad p=some i ∧ ¬present center J r life i
lemma retired_iff (center : ℕ → Y) (I J : Finset ℕ) (hIJ : I⊆J) (r : ℝ)
(life : Fin H → Lifetime K) (rad : Fin H → Outcome Y r) (p : Y) :
retired center I J r life rad p ↔
firstSeparation
(fun i d=>(i:ℕ)∈I ∧ dist (center i) p≤radius r (rad i) ∧ alive K (age center I (20*r) i) d)
(fun i d=>(i:ℕ)∈I ∧ dist (center i) p≤radius r (rad i) ∧
alive K (age center I (20*r) i) d ∧ ¬alive K (age center J (20*r) i) d) life := by
constructor
· rintro ⟨i,hf,hn⟩
obtain ⟨hi,hbef⟩ := (first_some_iff _ _ _ _ _ _ _).mp hf
refine ⟨i,⟨hi.1.1,hi.2,hi.1.2,fun h=>hn ⟨hIJ hi.1.1,h⟩⟩,?_⟩
rintro j hj ⟨hm,hd,ha⟩
exact hbef j hj ⟨⟨hm,ha⟩,hd⟩
· rintro ⟨i,⟨hm,hd,ha,hn⟩,hbef⟩
refine ⟨i,(first_some_iff _ _ _ _ _ _ _).mpr ⟨⟨⟨hm,ha⟩,hd⟩,?_⟩,fun h=>hn h.2⟩
intro j hj hh
exact hbef j hj ⟨hh.1.1,hh.2,hh.1.2⟩
/-- An actual insertion's exceptional first-coverer retirement row, under the
literal lifetime tape and with every radius held fixed. -/
theorem insertion_retirement (center : ℕ → Y) (I : Finset ℕ) {r : ℝ} (hr : 0<r)
(hK : 2≤K) (t : ℕ) (rad : Fin H → Outcome Y r) (p : Y) :
PartitionProbabilities.probability (fun _ : Fin H=>lifetimeLaw K)
(fun life=>retired center I (insert t I) r life rad p) ≤49/(K:ℝ) := by
have he : (fun life=>retired center I (insert t I) r life rad p)=
firstSeparation
(fun i d=>(i:ℕ)∈I ∧ dist (center i) p≤radius r (rad i) ∧ alive K (age center I (20*r) i) d)
(fun i d=>(i:ℕ)∈I ∧ dist (center i) p≤radius r (rad i) ∧
alive K (age center I (20*r) i) d ∧ ¬alive K (age center (insert t I) (20*r) i) d) := by
funext life
exact propext (retired_iff center I _ (subset_insert _ _) r life rad p)
rw [he]
exact chronological_retirement_bound center I hr hK rad p _ (fun i=>age_insert_bounds center I (20*r) t i)
/-- The retirement error is supported inside the 22r neighbourhood. -/
lemma retired_near (center : ℕ → Y) (I : Finset ℕ) {r : ℝ} (hr : 0<r) (t : ℕ)
(hI : ∀ i∈I, i<t) (life : Fin H → Lifetime K) (rad : Fin H → Outcome Y r)
(p : Y) (h : retired center I (insert t I) r life rad p) : dist p (center t)≤22*r := by
obtain ⟨i,hf,hn⟩ := h
obtain ⟨hi,_⟩ := (first_some_iff _ _ _ _ _ _ _).mp hf
have hit : (i:ℕ)<t := hI i hi.1.1
have ht : t∉I := fun hh=>Nat.lt_irrefl _ (hI t hh)
have hc : dist (center i) (center t)≤20*r := by
by_contra hc
have ha := age_insert center I (20*r) ht hit
rw [ite_eq_right hc,add_zero] at ha
apply hn
exact ⟨mem_insert_of_mem hi.1.1,ha ▸ hi.1.2⟩
have hp := hi.2.trans (radius_range hr _).2
have htri := dist_triangle p (center i) (center t)
rw [dist_comm p (center i)] at htri
linarith
/-- A fresh appended ball covers every point within r, pathwise even on
zero-probability lifetime tape outcomes. -/
lemma inserted_covers (center : ℕ → Y) (I : Finset ℕ) {r : ℝ} (hr : 0<r) (hK : 0<K)
(t : Fin H) (hI : ∀ i∈I, i<t) (life : Fin H → Lifetime K)
(rad : Fin H → Outcome Y r) (p : Y) (hp : dist (center t) p≤r) :
covered center (insert (t:ℕ) I) r life rad p t := by
refine ⟨⟨mem_insert_self _ _,?_⟩,hp.trans (radius_range hr _).1⟩
rw [age_new center I (20*r) hI]
exact alive_certain hK _
def indicator (P : Prop) : ℝ := if P then 1 else 0
lemma indicator_nonneg (P : Prop) : 0 ≤ indicator P := by unfold indicator; split_ifs <;> norm_num at *
lemma indicator_le_one (P : Prop) : indicator P≤1 := by unfold indicator; split_ifs <;> norm_num at *
/-- Literal stationary noncoverage table. -/
theorem stationary_table (center : ℕ → Y) (I : Finset ℕ) (r : ℝ) (t : ℕ)
(hI : ∀ i∈I, i<t) (life : Fin H → Lifetime K) (rad : Fin H → Outcome Y r) (p : Y) :
indicator (first center I r life rad p≠first center (insert t I) r life rad p)+
indicator (first center (insert t I) r life rad p=none)-
indicator (first center I r life rad p=none) ≤
2*indicator (retired center I (insert t I) r life rad p) := by
cases ho : first center I r life rad p with
| none =>
cases hn : first center (insert t I) r life rad p with
| none => simp only [indicator]; split_ifs <;> norm_num at *
| some j => simp only [indicator]; split_ifs <;> norm_num at *
| some i =>
by_cases hr : retired center I (insert t I) r life rad p
· rw [show indicator (retired center I (insert t I) r life rad p)=1 from ite_eq_left hr]
cases hn : first center (insert t I) r life rad p with
| none => unfold indicator; split_ifs <;> norm_num at *
| some j => simp only [indicator]; split_ifs <;> norm_num at *
· have hp : present center (insert t I) r life i := by
by_contra hp; exact hr ⟨i,ho,hp⟩
have hn := first_persists center I r t hI life rad p i ho hp
simp [hn,indicator,hr]
/-- Mover row, using final guaranteed coverage instead of a stationary final
position. Its retirement coefficient is one instead of two. -/
theorem mover_table (center : ℕ → Y) (I : Finset ℕ) {r : ℝ} (hr : 0<r) (hK : 0<K)
(t : Fin H) (hI : ∀ i∈I, i<t) (life : Fin H → Lifetime K)
(rad : Fin H → Outcome Y r) (p : Y) :
indicator (first center I r life rad p≠first center (insert (t:ℕ) I) r life rad p)+
indicator (first center (insert (t:ℕ) I) r life rad (center t)=none)-
indicator (first center I r life rad p=none) ≤
indicator (retired center I (insert (t:ℕ) I) r life rad p) := by
have hc := inserted_covers center I hr hK t hI life rad (center t) (by simpa using hr.le)
have hn : first center (insert (t:ℕ) I) r life rad (center t)≠none :=
fun h=>(first_none_iff _ _ _ _ _ _).mp h t hc
rw [show indicator (first center (insert (t:ℕ) I) r life rad (center t)=none)=0 from ite_eq_right hn,add_zero]
cases ho : first center I r life rad p with
| none =>
unfold indicator
split_ifs <;> norm_num at *
| some i =>
by_cases he : retired center I (insert (t:ℕ) I) r life rad p
· rw [show indicator (retired center I (insert (t:ℕ) I) r life rad p)=1 from ite_eq_left he]
unfold indicator
split_ifs <;> norm_num at *
· have hp : present center (insert (t:ℕ) I) r life i := by
by_contra hp; exact he ⟨i,ho,hp⟩
have hnew := first_persists center I r t hI life rad p i ho hp
simp [hnew,indicator,he]
end KServer.ActualRoster
end
/-! One-structure edits of the actual priority map. These lemmas keep earlier
structures fixed; in particular a covered heavy key suppresses all tier edits. -/
noncomputable section
open scoped BigOperators
open Finset
namespace KServer.PriorityKeys
attribute [local instance] Classical.propDecidable Classical.decEq
variable {I Y:Type*} [Fintype I] [LinearOrder I] {A:I→Type*}
lemma selected_congr_point (q₀ q₁:(i:I)→Y→Option (A i)) (x:Y)
(h:∀ i,q₀ i x=q₁ i x) : selected q₀ x=selected q₁ x := by
let u₀:(i:I)→Unit→Option (A i):=fun i _=>q₀ i x
let u₁:(i:I)→Unit→Option (A i):=fun i _=>q₁ i x
have hu:u₀=u₁:=funext fun i=>funext fun _=>h i
change selected u₀ ()=selected u₁ ()
rw [hu]
lemma key_congr_point (q₀ q₁:(i:I)→Y→Option (A i)) (x:Y)
(h:∀ i,q₀ i x=q₁ i x) : key q₀ x=key q₁ x := by
simp only [key,selected_congr_point q₀ q₁ x h]
lemma key_ne_single (q₀ q₁:(i:I)→Y→Option (A i)) (x:Y) (j:I)
(h:∀ i,i≠j→q₀ i x=q₁ i x) (hn:key q₀ x≠key q₁ x) : q₀ j x≠q₁ j x := by
intro he
apply hn
apply key_congr_point
intro i
by_cases hi:i=j
· subst i; exact he
· exact h i hi
lemma single_indicator (q₀ q₁:(i:I)→Y→Option (A i)) (x:Y) (j:I)
(h:∀ i,i≠j→q₀ i x=q₁ i x) :
ActualRoster.indicator (key q₀ x≠key q₁ x) ≤ ActualRoster.indicator (q₀ j x≠q₁ j x) := by
unfold ActualRoster.indicator
split_ifs with hn hj hj <;> try norm_num
exact False.elim (hj (key_ne_single q₀ q₁ x j h hn))
/-- Before and after the elementary edit at structure j. -/
def stageBefore (q₀ q₁:(i:I)→Y→Option (A i)) (j:I) : (i:I)→Y→Option (A i) :=
fun i=>if i<j then q₁ i else q₀ i
def stageAfter (q₀ q₁:(i:I)→Y→Option (A i)) (j:I) : (i:I)→Y→Option (A i) :=
fun i=>if i≤j then q₁ i else q₀ i
omit [Fintype I] in
lemma stage_at (q₀ q₁:(i:I)→Y→Option (A i)) (j:I) :
stageBefore q₀ q₁ j j=q₀ j ∧ stageAfter q₀ q₁ j j=q₁ j := by
simp [stageBefore,stageAfter]
omit [Fintype I] in
lemma stage_outside (q₀ q₁:(i:I)→Y→Option (A i)) (j i:I) (hi:i≠j) :
stageBefore q₀ q₁ j i=stageAfter q₀ q₁ j i := by
simp only [stageBefore,stageAfter,le_iff_lt_or_eq,hi,or_false]
lemma stage_charge (q₀ q₁:(i:I)→Y→Option (A i)) (j:I) (x:Y) :
ActualRoster.indicator (key (stageBefore q₀ q₁ j) x≠key (stageAfter q₀ q₁ j) x) ≤
ActualRoster.indicator (q₀ j x≠q₁ j x) := by
have h:=single_indicator (stageBefore q₀ q₁ j) (stageAfter q₀ q₁ j) x j
(fun i hi=>congrFun (stage_outside q₀ q₁ j i hi) x)
simpa only [(stage_at q₀ q₁ j).1,(stage_at q₀ q₁ j).2] using h
variable [OrderBot I]
lemma selected_bot (q:(i:I)→Y→Option (A i)) (x:Y) (a:A ⊥) (ha:q ⊥ x=some a) :
selected q x=some ⟨⊥,a⟩ := by
have hc:(covered q x).Nonempty:=⟨⊥,mem_filter.mpr ⟨mem_univ _,by rw [ha]; exact Option.some_ne_none _⟩⟩
have he:(covered q x).min' hc=⊥:=bot_unique (min'_le (covered q x) ⊥ (mem_filter.mpr ⟨mem_univ _,by rw [ha]; exact Option.some_ne_none _⟩))
unfold selected
rw [dite_eq_left hc]
change (q ((covered q x).min' hc) x).map (fun b=>(⟨(covered q x).min' hc,b⟩:Sigma A))=some ⟨⊥,a⟩
rw [he,ha]
rfl
lemma key_bot (q:(i:I)→Y→Option (A i)) (x:Y) (a:A ⊥) (ha:q ⊥ x=some a) :
key q x=Sum.inl ⟨⊥,a⟩ := by simp only [key,selected_bot q x a ha]
lemma bot_shadow (q₀ q₁:(i:I)→Y→Option (A i)) (x:Y) (a:A ⊥)
(h₀:q₀ ⊥ x=some a) (h₁:q₁ ⊥ x=some a) : key q₀ x=key q₁ x :=
(key_bot q₀ x a h₀).trans (key_bot q₁ x a h₁).symm
lemma stage_shadow (q₀ q₁:(i:I)→Y→Option (A i)) {j:I} (hj:⊥<j)
(x:Y) (a:A ⊥) (ha:q₁ ⊥ x=some a) :
key (stageBefore q₀ q₁ j) x=key (stageAfter q₀ q₁ j) x := by
apply bot_shadow _ _ x a
· simpa only [stageBefore,ite_eq_left hj] using ha
· simpa only [stageAfter,ite_eq_left hj.le] using ha
end KServer.PriorityKeys
end
/-! Literal finite-label tier edit tables. The old/new difference is bounded
through permanent chronological labels; no resampling or independence is
assumed at an observed surviving roster. -/
noncomputable section
open scoped BigOperators
open Finset
namespace KServer.TierEdits
open ActualRoster Chronological
attribute [local instance] Classical.propDecidable Classical.decEq
lemma indicator_mono {P Q:Prop} (h:P→Q) : indicator P≤ indicator Q := by
unfold indicator
split_ifs with hP hQ hQ <;> try norm_num
exact False.elim (hQ (h hP))
lemma map_charge {A B:Type*} (f:A→B) (a b:Option A) :
indicator (a.map f≠b.map f)≤ indicator (a≠b) :=
indicator_mono (fun hn he=>hn (congrArg (Option.map f) he))
lemma map_none {A B:Type*} (f:A→B) (a:Option A) :
indicator (a.map f=none)=indicator (a=none) := by
cases a <;> simp [indicator]
variable {Y:Type*} [MetricSpace Y] [Fintype Y] {H K:ℕ}
lemma key_none (center:ℕ→Y) {r:ℝ} (hr:0≤r) (q:ℕ→Prop)
(life:Fin H→Lifetime K) (rad:Fin H→FiniteBallLaw.Outcome Y r) (t:ℕ) (p:Y) :
indicator (TierKeys.key center hr K q life rad t p=none)=
indicator (first center (schedule center r K q t) r life rad p=none) :=
map_none _ _
lemma key_change (center:ℕ→Y) {r:ℝ} (hr:0≤r) (q:ℕ→Prop)
(life:Fin H→Lifetime K) (rad:Fin H→FiniteBallLaw.Outcome Y r) (t:ℕ) (p:Y) :
indicator (TierKeys.key center hr K q life rad t p≠TierKeys.key center hr K q life rad (t+1) p)≤
indicator (first center (schedule center r K q t) r life rad p≠
first center (schedule center r K q (t+1)) r life rad p) :=
map_charge _ _ _
lemma stationary (center:ℕ→Y) {r:ℝ} (hr:0≤r) (q:ℕ→Prop)
(life:Fin H→Lifetime K) (rad:Fin H→FiniteBallLaw.Outcome Y r) (t:ℕ) (p:Y)
(hin:insertTest center (schedule center r K q t) r K t (q t)) :
indicator (TierKeys.key center hr K q life rad t p≠TierKeys.key center hr K q life rad (t+1) p)+
indicator (TierKeys.key center hr K q life rad (t+1) p=none)-
indicator (TierKeys.key center hr K q life rad t p=none) ≤
2*indicator (retired center (schedule center r K q t) (schedule center r K q (t+1)) r life rad p) := by
have ht:=stationary_table center (schedule center r K q t) r t (schedule_before _ _ _ _ _) life rad p
have hnew:schedule center r K q (t+1)=insert t (schedule center r K q t):=by
simp only [schedule,ite_eq_left hin]
have hc:=key_change center hr q life rad t p
rw [key_none,key_none,hnew]
rw [hnew] at hc
linarith
lemma mover (center:ℕ→Y) {r:ℝ} (hr:0<r) (hK:0<K) (q:ℕ→Prop)
(life:Fin H→Lifetime K) (rad:Fin H→FiniteBallLaw.Outcome Y r) (t:Fin H) (p:Y)
(hin:insertTest center (schedule center r K q t) r K t (q t)) :
indicator (TierKeys.key center hr.le K q life rad t p≠TierKeys.key center hr.le K q life rad (t.val+1) p)+
indicator (TierKeys.key center hr.le K q life rad (t.val+1) (center t)=none)-
indicator (TierKeys.key center hr.le K q life rad t p=none) ≤
indicator (retired center (schedule center r K q t) (schedule center r K q (t.val+1)) r life rad p) := by
have ht:=mover_table center (schedule center r K q t) hr hK t (schedule_before _ _ _ _ _) life rad p
have hnew:schedule center r K q (t.val+1)=insert (t:ℕ) (schedule center r K q t):=by
simp only [schedule,ite_eq_left hin]
have hc:=key_change center hr.le q life rad t p
rw [key_none,key_none,hnew]
rw [hnew] at hc
linarith
lemma no_insert (center:ℕ→Y) {r:ℝ} (hr:0≤r) (q:ℕ→Prop)
(life:Fin H→Lifetime K) (rad:Fin H→FiniteBallLaw.Outcome Y r) (t:ℕ)
(hin:¬insertTest center (schedule center r K q t) r K t (q t)) :
TierKeys.key center hr K q life rad (t+1)=TierKeys.key center hr K q life rad t := by
funext p
simp only [TierKeys.key,schedule,ite_eq_right hin]
lemma covered_inner (center:ℕ→Y) {r:ℝ} (hr:0<r) (hK:0<K) (q:ℕ→Prop)
(life:Fin H→Lifetime K) (rad:Fin H→FiniteBallLaw.Outcome Y r) (t:Fin H)
(hin:insertTest center (schedule center r K q t) r K t (q t)) (p:Y) (hp:dist (center t) p≤r) :
indicator (TierKeys.key center hr.le K q life rad (t.val+1) p=none)=0 := by
rw [key_none]
have hnew:schedule center r K q (t.val+1)=insert (t:ℕ) (schedule center r K q t):=by
simp only [schedule,ite_eq_left hin]
rw [hnew]
apply ite_eq_right
intro hh
exact (first_none_iff _ _ _ _ _ _).mp hh t
(inserted_covers center _ hr hK t (schedule_before _ _ _ _ _) life rad p hp)
end KServer.TierEdits
end
/-! The literal chronological tier edits inside a complete level, including
heavy-priority shadowing. Noncoverage deliberately ignores earlier structures. -/
noncomputable section
open scoped BigOperators
open Finset
namespace KServer.LevelTierEdits
open LevelKeys LevelCoverage LevelLaw FiniteExperiment TierProcess Pilot
open ActualRoster Chronological
attribute [local instance] Classical.propDecidable Classical.decEq
local instance (priority := 2000) finDecEq (n:ℕ) : DecidableEq (Fin n) := Classical.decEq _
variable {Y:Type*} [MetricSpace Y] [Fintype Y] {k H:ℕ} [NeZero k]
def charge (s:Configuration k Y) (law:RequestLaw Y H) {r:ℝ} (hr:0 ≤ r)
(σ:Fin H→Y) (a:Tape Y k H r) (t:ℕ) (i:Tier k) (p:Y) : ℝ :=
indicator (PriorityKeys.key (PriorityKeys.stageBefore (keys s law hr σ a t)
(keys s law hr σ a (t+1)) (i:Structure k)) p ≠
PriorityKeys.key (PriorityKeys.stageAfter (keys s law hr σ a t)
(keys s law hr σ a (t+1)) (i:Structure k)) p)
def uncovered (s:Configuration k Y) (law:RequestLaw Y H) {r:ℝ} (hr:0 ≤ r)
(σ:Fin H→Y) (a:Tape Y k H r) (t:ℕ) (i:Tier k) (p:Y) : ℝ :=
indicator (keys s law hr σ a t (i:Structure k) p=none)
def inserted (s:Configuration k Y) (law:RequestLaw Y H) (r:ℝ)
(σ:Fin H→Y) (t:ℕ) (i:Tier k) : Prop :=
insertTest (request s σ) (schedule (request s σ) r (tierK (height i))
(tierQualifies s law r σ i) t) r (tierK (height i)) t (tierQualifies s law r σ i t)
def retirement (s:Configuration k Y) (law:RequestLaw Y H) (r:ℝ)
(σ:Fin H→Y) (a:Tape Y k H r) (t:ℕ) (i:Tier k) (p:Y) : Prop :=
retired (request s σ) (schedule (request s σ) r (tierK (height i))
(tierQualifies s law r σ i) t) (schedule (request s σ) r (tierK (height i))
(tierQualifies s law r σ i) (t+1)) r (a.2 i).1 (a.2 i).2 p
lemma charge_nonneg (s:Configuration k Y) (law:RequestLaw Y H) {r:ℝ} (hr:0 ≤ r)
(σ:Fin H→Y) (a:Tape Y k H r) (t:ℕ) (i:Tier k) (p:Y) : 0 ≤ charge s law hr σ a t i p :=
indicator_nonneg _
lemma charge_le (s:Configuration k Y) (law:RequestLaw Y H) {r:ℝ} (hr:0 ≤ r)
(σ:Fin H→Y) (a:Tape Y k H r) (t:ℕ) (i:Tier k) (p:Y) :
charge s law hr σ a t i p ≤ indicator (keys s law hr σ a t (i:Structure k) p≠
keys s law hr σ a (t+1) (i:Structure k) p) :=
PriorityKeys.stage_charge _ _ _ _
lemma stationary (s:Configuration k Y) (law:RequestLaw Y H) {r:ℝ} (hr:0 ≤ r)
(σ:Fin H→Y) (a:Tape Y k H r) (t:ℕ) (i:Tier k) (p:Y)
(hin:inserted s law r σ t i) :
charge s law hr σ a t i p+uncovered s law hr σ a (t+1) i p-
uncovered s law hr σ a t i p ≤ 2*indicator (retirement s law r σ a t i p) := by
have ht:=TierEdits.stationary (request s σ) hr (tierQualifies s law r σ i)
(a.2 i).1 (a.2 i).2 t p hin
have hc:=charge_le s law hr σ a t i p
dsimp only [uncovered,retirement,keys] at hc ⊢
linarith
lemma mover (s:Configuration k Y) (law:RequestLaw Y H) {r:ℝ} (hr:0 < r)
(σ:Fin H→Y) (a:Tape Y k H r) (t:Fin H) (i:Tier k) (p:Y)
(hin:inserted s law r σ t i) :
charge s law hr.le σ a t i p+uncovered s law hr.le σ a (t.val+1) i (σ t)-
uncovered s law hr.le σ a t i p ≤ indicator (retirement s law r σ a t i p) := by
have ht:=TierEdits.mover (request s σ) hr
(by have hh:=tierK_ge_two (height_ge i); omega) (tierQualifies s law r σ i)
(a.2 i).1 (a.2 i).2 t p hin
rw [request_fin] at ht
have hc:=charge_le s law hr.le σ a t i p
dsimp only [uncovered,retirement,keys] at hc ⊢
linarith
lemma no_insert_charge (s:Configuration k Y) (law:RequestLaw Y H) {r:ℝ} (hr:0 ≤ r)
(σ:Fin H→Y) (a:Tape Y k H r) (t:ℕ) (i:Tier k) (p:Y)
(hin:¬inserted s law r σ t i) : charge s law hr σ a t i p=0 := by
apply le_antisymm _ (charge_nonneg s law hr σ a t i p)
have hc:=charge_le s law hr σ a t i p
have he:=congrFun (TierEdits.no_insert (request s σ) hr
(tierQualifies s law r σ i) (a.2 i).1 (a.2 i).2 t hin) p
change keys s law hr σ a (t+1) (i:Structure k) p=keys s law hr σ a t (i:Structure k) p at he
simpa only [he,ne_self_iff_false,indicator,ite_false] using hc
lemma no_insert_stationary (s:Configuration k Y) (law:RequestLaw Y H) {r:ℝ} (hr:0 ≤ r)
(σ:Fin H→Y) (a:Tape Y k H r) (t:ℕ) (i:Tier k) (p:Y)
(hin:¬inserted s law r σ t i) :
charge s law hr σ a t i p+uncovered s law hr σ a (t+1) i p-
uncovered s law hr σ a t i p=0 := by
rw [no_insert_charge s law hr σ a t i p hin,zero_add]
have he:=congrFun (TierEdits.no_insert (request s σ) hr
(tierQualifies s law r σ i) (a.2 i).1 (a.2 i).2 t hin) p
change keys s law hr σ a (t+1) (i:Structure k) p=keys s law hr σ a t (i:Structure k) p at he
change indicator (_=none)-indicator (_=none)=0
rw [he,sub_self]
lemma covered_qualified (s:Configuration k Y) (law:RequestLaw Y H) {r:ℝ} (hr:0 < r)
(σ:Fin H→Y) (a:Tape Y k H r) (t:Fin H) (i:Tier k)
(hq:tierQualifies s law r σ i t) : uncovered s law hr.le σ a (t.val+1) i (σ t)=0 := by
obtain ⟨b,hb⟩:=TierKeys.guaranteed_coverage (request s σ) hr
(by have hh:=tierK_ge_two (height_ge i); omega) (tierQualifies s law r σ i)
t t.isLt hq (a.2 i).1 (a.2 i).2
rw [request_fin] at hb
change keys s law hr.le σ a (t.val+1) (i:Structure k) (σ t)=some b at hb
change indicator (_=none)=0
rw [hb]
exact ite_eq_right (Option.some_ne_none _)
lemma no_insert_mover (s:Configuration k Y) (law:RequestLaw Y H) {r:ℝ} (hr:0 < r)
(σ:Fin H→Y) (a:Tape Y k H r) (t:Fin H) (i:Tier k) (p:Y)
(hin:¬inserted s law r σ t i) :
charge s law hr.le σ a t i p+uncovered s law hr.le σ a (t.val+1) i (σ t)-
uncovered s law hr.le σ a t i p ≤
if tierQualifies s law r σ i t then 0 else
indicator (keys s law hr.le σ a (t.val+1) (i:Structure k) (σ t)≠
keys s law hr.le σ a (t.val+1) (i:Structure k) p) := by
rw [no_insert_charge s law hr.le σ a t i p hin,zero_add]
by_cases hq:tierQualifies s law r σ i t
· rw [ite_eq_left hq,covered_qualified s law hr σ a t i hq]
exact sub_nonpos.mpr (indicator_nonneg _)
· rw [ite_eq_right hq]
have he:=congrFun (TierEdits.no_insert (request s σ) hr.le
(tierQualifies s law r σ i) (a.2 i).1 (a.2 i).2 t hin) p
change keys s law hr.le σ a (t.val+1) (i:Structure k) p=keys s law hr.le σ a t (i:Structure k) p at he
unfold uncovered
rw [←he]
unfold indicator
split_ifs with hx hp hn hp hn hn <;> try norm_num
all_goals simp_all
lemma heavy_inner_covers (s:Configuration k Y) (law:RequestLaw Y H) {r:ℝ} (hr:0 < r)
(σ:Fin H→Y) (a:Tape Y k H r) (t:Fin H) (p:Y)
(hh:mass (mu s law (t.val+1) σ) (Pilot.ball (σ t) (51200*r)) ≤
(1+heavyDelta)*mass (mu s law (t.val+1) σ) (Pilot.ball (σ t) (heavyGamma*r)))
(hp:dist (σ t) p ≤ heavyGamma*r) : ∃ b,keys s law hr.le σ a (t.val+1) (⊥:Structure k) p=some b := by
obtain ⟨c,hc,hd⟩:=heavy_near_center s law σ t hr.le hh
have hv:=HeavySchedule.run_valid s law hr heavyGamma heavyDelta σ a.1 (t.val+1)
have hC:=HeavyCenters.centers_separated s law r heavyGamma heavyDelta σ (t.val+1)
have hcp:dist c p ≤ (HeavySchedule.run s law r heavyGamma heavyDelta σ a.1 (t.val+1)).rad c:=by
have hγ:heavyGamma ≤ 1:=by norm_num [heavyGamma]
have hm:=mul_le_mul_of_nonneg_right hγ hr.le
linarith [dist_triangle c (σ t) p,(hv.1 c hc).1]
have he:=(HeavyKeys.centerKey_some hr hC (fun b hb=>(hv.1 b hb).2)).mpr ⟨hc,hcp⟩
refine ⟨(HeavySchedule.run s law r heavyGamma heavyDelta σ a.1 (t.val+1)).label c,?_⟩
change HeavyKeys.key _ _ _ _ _ _ _ _ _=some _
simp only [HeavyKeys.key,he,Option.map_some]
lemma heavy_inner_charge (s:Configuration k Y) (law:RequestLaw Y H) {r:ℝ} (hr:0 < r)
(σ:Fin H→Y) (a:Tape Y k H r) (t:Fin H) (i:Tier k) (p:Y)
(hh:mass (mu s law (t.val+1) σ) (Pilot.ball (σ t) (51200*r)) ≤
(1+heavyDelta)*mass (mu s law (t.val+1) σ) (Pilot.ball (σ t) (heavyGamma*r)))
(hp:dist (σ t) p ≤ heavyGamma*r) : charge s law hr.le σ a t i p=0 := by
obtain ⟨b,hb⟩:=heavy_inner_covers s law hr σ a t p hh hp
have he:=PriorityKeys.stage_shadow (I:=Structure k) (keys s law hr.le σ a t)
(keys s law hr.le σ a (t.val+1)) (j:=(i:Structure k)) (WithBot.bot_lt_coe i) p b hb
exact ite_eq_right (not_not.mpr he)
lemma heavy_inner_stationary (s:Configuration k Y) (law:RequestLaw Y H) {r:ℝ} (hr:0 < r)
(σ:Fin H→Y) (a:Tape Y k H r) (t:Fin H) (i:Tier k) (p:Y)
(hin:inserted s law r σ t i)
(hh:mass (mu s law (t.val+1) σ) (Pilot.ball (σ t) (51200*r)) ≤
(1+heavyDelta)*mass (mu s law (t.val+1) σ) (Pilot.ball (σ t) (heavyGamma*r)))
(hp:dist (σ t) p ≤ heavyGamma*r) :
charge s law hr.le σ a t i p+uncovered s law hr.le σ a (t.val+1) i p-
uncovered s law hr.le σ a t i p ≤ 0 := by
rw [heavy_inner_charge s law hr σ a t i p hh hp,zero_add]
have hcov:=TierEdits.covered_inner (request s σ) hr
(by have hh:=tierK_ge_two (height_ge i); omega) (tierQualifies s law r σ i)
(a.2 i).1 (a.2 i).2 t hin p
(by rw [request_fin]; exact hp.trans (mul_le_of_le_one_left hr.le (by norm_num [heavyGamma])))
change uncovered s law hr.le σ a (t.val+1) i p=0 at hcov
rw [hcov]
exact sub_nonpos.mpr (indicator_nonneg _)
end KServer.LevelTierEdits
end
/-! Average actual tier retirements over the full finite partition tape, not
conditionally on surviving entries. -/
noncomputable section
open scoped BigOperators
open Finset
namespace KServer.LevelRetirement
open LevelKeys LevelCoverage LevelLaw LevelTierEdits FiniteExperiment TierProcess Pilot
open ActualRoster Chronological FiniteTape PartitionProbabilities
attribute [local instance] Classical.propDecidable Classical.decEq
local instance (priority := 2000) finDecEq (n:ℕ) : DecidableEq (Fin n) := Classical.decEq _
variable {Y:Type*} [MetricSpace Y] [Fintype Y] {k H:ℕ}
lemma tier_lifetime_bound {r:ℝ} (hr:0 < r) (i:Tier k)
(E:(Fin H→Lifetime (tierK (height i)))→(Fin H→FiniteBallLaw.Outcome Y r)→Prop)
(c:ℝ) (hc:∀ rad,probability (fun _ : Fin H=>lifetimeLaw (tierK (height i)))
(fun life=>E life rad)≤c) :
(∑ a:Tape Y k H r,if E (a.2 i).1 (a.2 i).2 then weight r a else 0)≤c := by
have he:=tier_event (H:=H) hr i (fun b=>E b.1 b.2)
have heq : (∑ a:Tape Y k H r,if E (a.2 i).1 (a.2 i).2 then weight r a else 0)=
∑ b:(Fin H→Lifetime (tierK (height i))) × (Fin H→FiniteBallLaw.Outcome Y r),
if E b.1 b.2 then tierWeight r i b else 0 := by
refine Eq.trans ?_ (he.trans ?_) <;> apply sum_congr rfl <;> intro a _ <;> split_ifs <;> rfl
rw [heq]
simp only [Fintype.sum_prod_type,tierWeight,pair]
rw [sum_comm]
calc (∑ rad,∑ life,if E life rad then lifetimeWeight i life*radiusWeight r i rad else 0)=
∑ rad,radiusWeight r i rad*(∑ life,if E life rad then lifetimeWeight i life else 0) := by
apply sum_congr rfl
intro rad _
rw [mul_sum]
apply sum_congr rfl
intro life _
split_ifs <;> ring
_ ≤ ∑ rad,radiusWeight r i rad*c := by
apply sum_le_sum
intro rad _
apply mul_le_mul_of_nonneg_left _ (radius_nonneg hr i rad)
exact hc rad
_ = c := by rw [←sum_mul,radius_sum hr i,one_mul]
variable [NeZero k]
lemma retirement_bound (s:Configuration k Y) (law:RequestLaw Y H) {r:ℝ} (hr:0 < r)
(σ:Fin H→Y) (t:ℕ) (i:Tier k) (p:Y) (hin:inserted s law r σ t i) :
(∑ a:Tape Y k H r,if retirement s law r σ a t i p then weight r a else 0) ≤
49/(tierK (height i):ℝ) := by
have hnew:schedule (request s σ) r (tierK (height i)) (tierQualifies s law r σ i) (t+1)=
insert t (schedule (request s σ) r (tierK (height i)) (tierQualifies s law r σ i) t):=by
change insertTest _ _ _ _ _ _ at hin
simp only [schedule,ite_eq_left hin]
unfold retirement
rw [hnew]
refine tier_lifetime_bound hr i (fun life rad => retired (request s σ)
(schedule (request s σ) r (tierK (height i)) (tierQualifies s law r σ i) t)
(insert t (schedule (request s σ) r (tierK (height i)) (tierQualifies s law r σ i) t))
r life rad p) _ ?_
intro rad
exact insertion_retirement (request s σ) _ hr (tierK_ge_two (height_ge i)) t rad p
lemma retirement_far (s:Configuration k Y) (law:RequestLaw Y H) {r:ℝ} (hr:0 < r)
(σ:Fin H→Y) (a:Tape Y k H r) (t:Fin H) (i:Tier k) (p:Y)
(hin:inserted s law r σ t i) (hp:22*r < dist (σ t) p) :
¬retirement s law r σ a t i p := by
intro he
have hnew:schedule (request s σ) r (tierK (height i)) (tierQualifies s law r σ i) (t.val+1)=
insert (t:ℕ) (schedule (request s σ) r (tierK (height i)) (tierQualifies s law r σ i) t):=by
change insertTest _ _ _ _ _ _ at hin
simp only [schedule,ite_eq_left hin]
unfold retirement at he
rw [hnew] at he
have hn:=retired_near (request s σ) _ hr t (schedule_before _ _ _ _ _) (a.2 i).1 (a.2 i).2 p he
rw [request_fin,dist_comm] at hn
exact not_lt_of_ge hn hp
def mean (r:ℝ) (f:Tape Y k H r→ℝ) : ℝ := ∑ a,weight r a*f a
omit [NeZero k] in
lemma mean_mono {r:ℝ} (hr:0<r) {f g:Tape Y k H r→ℝ} (h:∀ a,f a≤g a) : mean r f ≤ mean r g :=
sum_le_sum (fun a _=>mul_le_mul_of_nonneg_left (h a) (weight_nonneg hr a))
omit [NeZero k] in
lemma mean_const {r:ℝ} (hr:0<r) (c:ℝ) : mean (Y:=Y) (k:=k) (H:=H) r (fun _=>c)=c := by
unfold mean
rw [←sum_mul,weight_sum hr,one_mul]
omit [NeZero k] in
lemma mean_indicator (r:ℝ) (E:Tape Y k H r→Prop) :
mean r (fun a=>indicator (E a))=∑ a,if E a then weight r a else 0 := by
unfold mean
apply sum_congr rfl
intro a _
by_cases h:E a
· simp only [indicator,ite_eq_left h,mul_one]
· simp only [indicator,ite_eq_right h,mul_zero]
omit [NeZero k] in
lemma mean_scale (r:ℝ) (c:ℝ) (f:Tape Y k H r→ℝ) :
mean r (fun a=>c*f a)=c*mean r f := by
unfold mean
rw [mul_sum]
apply sum_congr rfl
intro a _
ring
lemma stationary_mean (s:Configuration k Y) (law:RequestLaw Y H) {r:ℝ} (hr:0 < r)
(σ:Fin H→Y) (t:Fin H) (i:Tier k) (p:Y) (hin:inserted s law r σ t i) :
mean r (fun a=>LevelTierEdits.charge s law hr.le σ a t i p+
uncovered s law hr.le σ a (t.val+1) i p-uncovered s law hr.le σ a t i p) ≤
if dist (σ t) p≤22*r ∧ ¬(mass (mu s law (t.val+1) σ) (Pilot.ball (σ t) (51200*r)) ≤
(1+heavyDelta)*mass (mu s law (t.val+1) σ) (Pilot.ball (σ t) (heavyGamma*r)) ∧
dist (σ t) p≤heavyGamma*r) then 98/(tierK (height i):ℝ) else 0 := by
by_cases hp:dist (σ t) p≤22*r
· by_cases hh:mass (mu s law (t.val+1) σ) (Pilot.ball (σ t) (51200*r)) ≤
(1+heavyDelta)*mass (mu s law (t.val+1) σ) (Pilot.ball (σ t) (heavyGamma*r)) ∧
dist (σ t) p≤heavyGamma*r
· rw [ite_eq_right (fun h=>h.2 hh)]
exact (mean_mono hr (fun a=>heavy_inner_stationary s law hr σ a t i p hin hh.1 hh.2)).trans_eq (mean_const hr 0)
· rw [ite_eq_left ⟨hp,hh⟩]
have hb:=mean_mono hr (fun a=>LevelTierEdits.stationary s law hr.le σ a t i p hin)
rw [mean_scale,mean_indicator] at hb
have hc:=mul_le_mul_of_nonneg_left (retirement_bound s law hr σ t i p hin) (by norm_num : (0:ℝ)≤2)
exact hb.trans (by convert hc using 1; ring)
· rw [ite_eq_right (fun h=>hp h.1)]
have hb:=mean_mono hr (fun a=>LevelTierEdits.stationary s law hr.le σ a t i p hin)
have hz (a:Tape Y k H r):indicator (retirement s law r σ a t i p)=0:=
ite_eq_right (retirement_far s law hr σ a t i p hin (lt_of_not_ge hp))
simp only [hz,mul_zero,mean_const hr] at hb
exact hb
lemma mover_mean (s:Configuration k Y) (law:RequestLaw Y H) {r:ℝ} (hr:0 < r)
(σ:Fin H→Y) (t:Fin H) (i:Tier k) (p:Y) (hin:inserted s law r σ t i) :
mean r (fun a=>LevelTierEdits.charge s law hr.le σ a t i p+
uncovered s law hr.le σ a (t.val+1) i (σ t)-uncovered s law hr.le σ a t i p) ≤
49/(tierK (height i):ℝ) := by
have hb:=mean_mono hr (fun a=>LevelTierEdits.mover s law hr σ a t i p hin)
rw [mean_indicator] at hb
exact hb.trans (retirement_bound s law hr σ t i p hin)
end KServer.LevelRetirement
end
/-! Exact scale-log sums for the true post-request metric posterior. The same
absolute shift works for the heavy test and all dyadic tier tests. -/
noncomputable section
open scoped BigOperators
open Finset
namespace KServer.LevelScale
open FiniteExperiment Pilot LevelCoverage TierProcess
attribute [local instance] Classical.propDecidable Classical.decEq
variable {Y:Type*} [Fintype Y] [MetricSpace Y]
lemma log_ball_bounds (μ:Y→ℝ) (hμ:∀ y,0 ≤ μ y) (x:Y) (hx:1 ≤ μ x)
{k r:ℝ} (hk:∑ y,μ y=k) (hr:0 ≤ r) :
Real.log (mass μ (ball x r)) ∈ Set.Icc 0 (Real.log k) := by
have hl:1 ≤ mass μ (ball x r):=hx.trans (single_le_sum (fun y _=>hμ y)
(by simp only [ball,mem_filter,mem_univ,true_and,dist_self]; exact hr))
have hu:mass μ (ball x r) ≤ k:=by simpa only [hk] using ball_mass_total μ hμ x r
exact ⟨Real.log_nonneg hl,Real.log_le_log (by linarith) hu⟩
lemma mass_positive (μ:Y→ℝ) (hμ:∀ y,0 ≤ μ y) (x:Y) (hx:1 ≤ μ x)
{r:ℝ} (hr:0 ≤ r) : 0 < mass μ (ball x r) := by
have hl:1 ≤ mass μ (ball x r):=hx.trans (single_le_sum (fun y _=>hμ y)
(by simp only [ball,mem_filter,mem_univ,true_and,dist_self]; exact hr))
linarith
lemma logratio_sum (μ:Y→ℝ) (hμ:∀ y,0 ≤ μ y) (x:Y) (hx:1 ≤ μ x)
{k r₀ τ γ D:ℝ} (hk:∑ y,μ y=k) (hr:0 ≤ r₀) (hτ:0 ≤ τ)
(hγ:0 < γ) (hγD:γ ≤ D) (p n:ℕ) (hp:D ≤ γ*τ^p) :
(∑ j∈range n,Real.log (mass μ (ball x (D*radius r₀ τ j))/
mass μ (ball x (γ*radius r₀ τ j)))) ≤ p*Real.log k := by
have hrad (j:ℕ):0 ≤ radius r₀ τ j:=mul_nonneg hr (pow_nonneg hτ _)
have hm (j:ℕ):0 < mass μ (ball x (γ*radius r₀ τ j)):=
mass_positive μ hμ x hx (mul_nonneg hγ.le (hrad j))
have hM (j:ℕ):0 < mass μ (ball x (D*radius r₀ τ j)):=
mass_positive μ hμ x hx (mul_nonneg (hγ.le.trans hγD) (hrad j))
have hstep (j:ℕ):mass μ (ball x (D*radius r₀ τ j)) ≤
mass μ (ball x (γ*radius r₀ τ (j+p))):=by
apply ball_mass_mono μ hμ x
rw [radius_add]
nlinarith [mul_le_mul_of_nonneg_right hp (hrad j)]
calc _ ≤ ∑ j∈range n,(Real.log (mass μ (ball x (γ*radius r₀ τ (j+p))))-
Real.log (mass μ (ball x (γ*radius r₀ τ j)))) := by
apply sum_le_sum
intro j _
rw [Real.log_div (hM j).ne' (hm j).ne']
exact sub_le_sub_right (Real.log_le_log (hM j) (hstep j)) _
_ ≤ _ := by
simpa using ScaleMass.shifted_sum_le (fun j=>Real.log (mass μ (ball x (γ*radius r₀ τ j))))
0 (Real.log k) (fun j=>log_ball_bounds μ hμ x hx hk (mul_nonneg hγ.le (hrad j))) n p
lemma nonheavy_count (μ:Y→ℝ) (hμ:∀ y,0 ≤ μ y) (x:Y) (hx:1 ≤ μ x)
{k r₀ τ γ D δ:ℝ} (hk:∑ y,μ y=k) (hr:0 ≤ r₀) (hτ:0 ≤ τ)
(hγ:0 < γ) (hγD:γ ≤ D) (hδ:0 < δ) (p n:ℕ) (hp:D ≤ γ*τ^p) :
(∑ j∈range n,if mass μ (ball x (D*radius r₀ τ j)) ≤
(1+δ)*mass μ (ball x (γ*radius r₀ τ j)) then (0:ℝ) else 1)
≤ (p*Real.log k)/Real.log (1+δ) := by
have hlog:0 < Real.log (1+δ):=Real.log_pos (by linarith)
apply (le_div_iff₀ hlog).mpr
trans ∑ j∈range n,Real.log (mass μ (ball x (D*radius r₀ τ j))/
mass μ (ball x (γ*radius r₀ τ j)))
· rw [sum_mul]
apply sum_le_sum
intro j _
have hrad:0 ≤ radius r₀ τ j:=mul_nonneg hr (pow_nonneg hτ _)
have hm:=mass_positive μ hμ x hx (mul_nonneg hγ.le hrad)
have hM:=mass_positive μ hμ x hx (mul_nonneg (hγ.le.trans hγD) hrad)
have hab:=ball_mass_mono μ hμ x (mul_le_mul_of_nonneg_right hγD hrad)
split_ifs with hh
· rw [zero_mul]
exact Real.log_nonneg ((le_div_iff₀ hm).mpr (by simpa using hab))
· rw [one_mul]
apply Real.log_le_log (by linarith : 0 < 1+δ)
exact (le_div_iff₀ hm).mpr (le_of_lt (lt_of_not_ge hh))
· exact logratio_sum μ hμ x hx hk hr hτ hγ hγD p n hp
lemma tier_shift {τ:ℝ} (hτ:2 ≤ τ) : 100*tierTemplate.R ≤ tierGamma*τ^60 := by
have hp:(2:ℝ)^60 ≤ τ^60:=pow_le_pow_left₀ (by norm_num) hτ _
have hc:100*tierTemplate.R ≤ tierGamma*(2:ℝ)^60:=by norm_num [tierTemplate,tierGamma]
exact hc.trans (mul_le_mul_of_nonneg_left hp (by norm_num [tierGamma]))
lemma heavy_shift {τ:ℝ} (hτ:2 ≤ τ) : (51200:ℝ) ≤ heavyGamma*τ^60 := by
have hp:(2:ℝ)^60 ≤ τ^60:=pow_le_pow_left₀ (by norm_num) hτ _
have hc:(51200:ℝ) ≤ heavyGamma*(2:ℝ)^60:=by norm_num [heavyGamma]
exact hc.trans (mul_le_mul_of_nonneg_left hp (by norm_num [heavyGamma]))
variable {k H:ℕ} [NeZero k]
lemma actual_logratio_sum (s:Configuration k Y) (law:FiniteDistribution (Fin H→Y))
(σ:Fin H→Y) (hσ:0 < law.val σ) (t:Fin H) {r₀ τ:ℝ} (hr:0 ≤ r₀) (hτ:2 ≤ τ) (n:ℕ) :
(∑ j∈range n, logratio s law σ t (radius r₀ τ j)) ≤ 60*Real.log k := by
exact logratio_sum (mu s law (t.val+1) σ) (mu_nonneg s law (t.val+1) σ)
(σ t) (mu_served s law t σ hσ) (mu_total s law (t.val+1) σ hσ) hr (by linarith)
(by norm_num [tierGamma]) (by norm_num [tierGamma,tierTemplate]) 60 n (tier_shift hτ)
lemma actual_nonheavy_count (s:Configuration k Y) (law:FiniteDistribution (Fin H→Y))
(σ:Fin H→Y) (hσ:0 < law.val σ) (t:Fin H) {r₀ τ:ℝ} (hr:0 ≤ r₀) (hτ:2 ≤ τ) (n:ℕ) :
(∑ j∈range n,if mass (mu s law (t.val+1) σ) (ball (σ t) (51200*radius r₀ τ j)) ≤
(1+heavyDelta)*mass (mu s law (t.val+1) σ) (ball (σ t) (heavyGamma*radius r₀ τ j)) then (0:ℝ) else 1)
≤ (60*Real.log k)/Real.log (1+heavyDelta) := by
exact nonheavy_count (mu s law (t.val+1) σ) (mu_nonneg s law (t.val+1) σ)
(σ t) (mu_served s law t σ hσ) (mu_total s law (t.val+1) σ hσ) hr (by linarith)
(by norm_num [heavyGamma]) (by norm_num [heavyGamma]) (by norm_num [heavyDelta])
60 n (heavy_shift hτ)
end KServer.LevelScale
end
/-! The complete-level first-covering probability bound, with its individual
local log ratio (not the largest tier times the number of scales). -/
noncomputable section
open scoped BigOperators
open Finset
namespace KServer.LevelSpatial
open LevelKeys LevelCoverage LevelLaw FiniteExperiment TierProcess Pilot
attribute [local instance] Classical.propDecidable
attribute [local instance] Classical.decEq
local instance (priority := 2000) finDecEq (n:ℕ) : DecidableEq (Fin n) := Classical.decEq _
lemma fin_prefix_sum (f:ℕ→ℝ) {N n:ℕ} (hn:n < N) :
(∑ i:Fin N,if i.val ≤ n then f i else 0)=∑ i∈range (n+1),f i := by
have he:=Fin.sum_univ_eq_sum_range (fun m:ℕ=>if m ≤ n then f m else 0) N
rw [he]
calc (∑ i∈range N,if i ≤ n then f i else 0)=∑ i∈range (n+1),if i ≤ n then f i else 0 := by
symm
refine sum_subset (range_mono (by omega)) ?_
intro i hi hni
exact ite_eq_right (by simp only [mem_range] at hni; omega)
_ = _ := by apply sum_congr rfl; intro i hi; exact ite_eq_left (by have := mem_range.mp hi; omega)
lemma structure_prefix_sum {k:ℕ} (p:Structure k→ℝ) (i:Tier k) :
(∑ j∈univ.filter (fun j:Structure k=>j ≤ (i:Structure k)),p j)=
p (⊥:Structure k)+∑ j:Tier k,if j ≤ i then p (j:Structure k) else 0 := by
let f : Structure k → ℝ := fun j=>if j ≤ (i:Structure k) then p j else 0
have hs : (∑ j∈univ.filter (fun j:Structure k=>j ≤ (i:Structure k)),p j)=∑ j:Structure k,f j := by
rw [sum_filter]
rw [hs]
let e : Structure k ≃ Option (Tier k) := Equiv.refl _
rw [Fintype.sum_equiv e f (fun j=>f (e.symm j)) (fun _=>rfl)]
have he:=Fintype.sum_option (fun j:Option (Tier k)=>f (e.symm j))
rw [he]
have hb : f (e.symm none)=p (⊥:Structure k) := by
change f (⊥:Structure k)=_
simp only [f,bot_le,ite_true]
rw [hb]
congr 1
apply sum_congr rfl
intro j _
change (if (j:Structure k) ≤ (i:Structure k) then p (j:Structure k) else 0)=_
simp only [WithBot.coe_le_coe]
variable {Y:Type*} [MetricSpace Y] [Fintype Y] {k H:ℕ} [NeZero k]
def separation (s:Configuration k Y) (law:RequestLaw Y H)
{r:ℝ} (hr:0 ≤ r) (σ:Fin H→Y) (t:ℕ) (x y:Y) : ℝ :=
∑ a:Tape Y k H r,if map s law hr σ a t x≠map s law hr σ a t y then weight r a else 0
lemma separation_nonneg (s:Configuration k Y) (law:RequestLaw Y H)
{r:ℝ} (hr:0 < r) (σ:Fin H→Y) (t:ℕ) (x y:Y) : 0 ≤ separation s law hr.le σ t x y :=
sum_nonneg (fun a _=>by split_ifs <;> first | exact weight_nonneg hr a | exact le_rfl)
lemma separation_le_one (s:Configuration k Y) (law:RequestLaw Y H)
{r:ℝ} (hr:0 < r) (σ:Fin H→Y) (t:ℕ) (x y:Y) : separation s law hr.le σ t x y ≤ 1 := by
calc _ ≤ ∑ a:Tape Y k H r,weight r a := by
apply sum_le_sum; intro a _; split_ifs <;> first | exact le_rfl | exact weight_nonneg hr a
_ = 1 := weight_sum hr
lemma separation_self (s:Configuration k Y) (law:RequestLaw Y H)
{r:ℝ} (hr:0 ≤ r) (σ:Fin H→Y) (t:ℕ) (x:Y) : separation s law hr σ t x x=0 := by
simp [separation]
lemma prefix_bound (s:Configuration k Y) (law:RequestLaw Y H)
{r:ℝ} (hr:0 < r) (σ:Fin H→Y) (t:ℕ) (x y:Y) (hxy:4*dist x y < r)
(i:Tier k) (hi:∀ a:Tape Y k H r,keys s law hr.le σ a t (some i) x≠none) :
separation s law hr.le σ t x y ≤ dist x y/(4*r)+
(262*dist x y/r)*(∑ j∈range (i.val+1),(2:ℝ)^j) := by
have hp:=PriorityKeys.probability_prefix_bound (I:=Structure k) (weight r) (weight_nonneg hr)
(fun a:Tape Y k H r=>keys s law hr.le σ a t) x y (i:Structure k) hi
have he : separation s law hr.le σ t x y =
∑ a:Tape Y k H r,if PriorityKeys.key (I:=Structure k) (keys s law hr.le σ a t) x ≠
PriorityKeys.key (I:=Structure k) (keys s law hr.le σ a t) y then weight r a else 0 := by
apply sum_congr rfl
intro a _
unfold LevelKeys.map
split_ifs <;> rfl
have hp' : separation s law hr.le σ t x y ≤
∑ j∈univ.filter (fun j:Structure k=>j ≤ (i:Structure k)),
∑ a:Tape Y k H r,if keys s law hr.le σ a t j x≠keys s law hr.le σ a t j y then weight r a else 0 := by
rw [he]
convert hp using 1
· apply sum_congr rfl
intro a _
split_ifs <;> rfl
· simp only [sum_filter]
apply sum_congr rfl
intro j _
split_ifs <;> rfl
rw [structure_prefix_sum] at hp'
refine hp'.trans ?_
apply add_le_add (heavy_spatial s law hr σ t x y hxy)
have hs:(∑ j:Tier k,if j ≤ i then height j else 0)=∑ j∈range (i.val+1),(2:ℝ)^j := by
exact fin_prefix_sum (fun n=>(2:ℝ)^n) i.isLt
rw [←hs,mul_sum]
apply sum_le_sum
intro j _
by_cases hj:j ≤ i
· simp only [hj,ite_true]
have hd:dist x y ≤ r:=by linarith [dist_nonneg (x:=x) (y:=y)]
have hb:=tier_spatial s law hr σ t j x y hd
have hl:Real.log (1+(tierK (height j):ℝ)^2) ≤ 131*height j:=
TierDyadic.radius_coefficient (height_ge j)
apply hb.trans
have hc:=mul_le_mul_of_nonneg_right (mul_le_mul_of_nonneg_left hl (by norm_num : (0:ℝ) ≤ 2))
(div_nonneg (dist_nonneg (x:=x) (y:=y)) hr.le)
convert hc using 1 <;> ring
· simp only [hj,ite_false,mul_zero,le_refl]
lemma request_bound (s:Configuration k Y) (law:RequestLaw Y H)
{r:ℝ} (hr:0 < r) (σ:Fin H→Y) (hσ:0 < law.val σ) (t:Fin H) (y:Y)
(hxy:4*dist (σ t) y < r) :
separation s law hr.le σ (t.val+1) (σ t) y ≤
1050*(1+logratio s law σ t r)*dist (σ t) y/r := by
let i:Tier k:=⟨firstTier s law σ t r,by have hh:=firstTier_le s law σ hσ t hr.le; omega⟩
have hq:tierQualifies s law r σ i t:=firstTier_qualifies s law σ hσ t hr.le
have hi (a:Tape Y k H r):keys s law hr.le σ a (t.val+1) (some i) (σ t)≠none:=by
obtain ⟨b,hb⟩:=TierKeys.guaranteed_coverage (request s σ) hr
(lt_of_lt_of_le (by omega : 0 < 2) (tierK_ge_two (height_ge i)))
(tierQualifies s law r σ i) t t.isLt hq (a.2 i).1 (a.2 i).2
change TierKeys.key (request s σ) hr.le (tierK (height i)) (tierQualifies s law r σ i)
(a.2 i).1 (a.2 i).2 (t.val+1) (σ t)≠none
rw [request_fin] at hb
rw [hb]
exact Option.some_ne_none _
have hb:=prefix_bound s law hr σ (t.val+1) (σ t) y hxy i hi
have hL:=logratio_bounds s law σ hσ t hr.le
have hsum: (∑ j∈range (i.val+1),(2:ℝ)^j) ≤ 4*(1+logratio s law σ t r):=
TierDyadic.qualified_sum hL.1
have hmul:=mul_le_mul_of_nonneg_left hsum (by positivity : 0 ≤ 262*dist (σ t) y/r)
have hc:dist (σ t) y/(4*r) ≤ 2*(1+logratio s law σ t r)*dist (σ t) y/r:=by
apply (div_le_div_iff₀ (by positivity : 0 < 4*r) hr).mpr
have hd:=mul_nonneg hL.1 (dist_nonneg (x:=σ t) (y:=y))
have hdr:=mul_nonneg hd hr.le
nlinarith [mul_nonneg (dist_nonneg (x:=σ t) (y:=y)) hr.le]
calc _ ≤ dist (σ t) y/(4*r)+(262*dist (σ t) y/r)*(∑ j∈range (i.val+1),(2:ℝ)^j) := hb
_ ≤ 2*(1+logratio s law σ t r)*dist (σ t) y/r+(262*dist (σ t) y/r)*(4*(1+logratio s law σ t r)) := add_le_add hc hmul
_ = _ := by ring
lemma map_eq_of_heavy (s:Configuration k Y) (law:RequestLaw Y H)
{r:ℝ} (hr:0 < r) (σ:Fin H→Y) (t:Fin H) (y:Y) (hxy:4*dist (σ t) y < r)
(hh:mass (mu s law (t.val+1) σ) (Pilot.ball (σ t) (51200*r)) ≤
(1+heavyDelta)*mass (mu s law (t.val+1) σ) (Pilot.ball (σ t) (heavyGamma*r)))
(a:Tape Y k H r) : map s law hr.le σ a (t.val+1) (σ t)=map s law hr.le σ a (t.val+1) y := by
obtain ⟨b,hb,hby⟩:=heavy_agrees s law σ t hr hh a.1 y hxy
by_contra hn
obtain ⟨j,hj,hd⟩:=PriorityKeys.key_ne_prefix (keys s law hr.le σ a (t.val+1)) (σ t) y none
(by change HeavyKeys.key s law r heavyGamma heavyDelta σ a.1 (t.val+1) (σ t)≠none
rw [hb]; exact Option.some_ne_none _) hn
have he:j=none:=bot_unique hj
subst j
exact hd (hb.trans hby.symm)
lemma heavy_zero (s:Configuration k Y) (law:RequestLaw Y H)
{r:ℝ} (hr:0 < r) (σ:Fin H→Y) (t:Fin H) (y:Y) (hxy:4*dist (σ t) y < r)
(hh:mass (mu s law (t.val+1) σ) (Pilot.ball (σ t) (51200*r)) ≤
(1+heavyDelta)*mass (mu s law (t.val+1) σ) (Pilot.ball (σ t) (heavyGamma*r))) :
separation s law hr.le σ (t.val+1) (σ t) y=0 := by
apply sum_eq_zero
intro a _
exact ite_eq_right (not_not.mpr (map_eq_of_heavy s law hr σ t y hxy hh a))
/-- The complete-level estimate (final-map-separation), with an explicit
absolute factor and no number-of-scales or largest-tier multiplier. -/
lemma spatial_sum (s:Configuration k Y) (law:RequestLaw Y H)
(σ:Fin H→Y) (hσ:0 < law.val σ) (t:Fin H) (y:Y)
{r₀ τ:ℝ} (hr:0 < r₀) (hτ:2 ≤ τ) (n:ℕ) :
(∑ j∈range n, Pilot.radius r₀ τ j *
separation s law (Pilot.radius_pos hr (by linarith) j).le σ (t.val+1) (σ t) y) ≤
(8+1050*(60/Real.log (1+heavyDelta)+60)*Real.log k)*dist (σ t) y := by
let R:=Pilot.radius r₀ τ
let L (j:ℕ):=logratio s law σ t (R j)
let N (j:ℕ):ℝ:=if Pilot.mass (mu s law (t.val+1) σ) (Pilot.ball (σ t) (51200*R j)) ≤
(1+heavyDelta)*Pilot.mass (mu s law (t.val+1) σ) (Pilot.ball (σ t) (heavyGamma*R j)) then 0 else 1
have hR (j:ℕ):0 < R j:=Pilot.radius_pos hr (by linarith) j
have hL (j:ℕ):0 ≤ L j:=(logratio_bounds s law σ hσ t (hR j).le).1
have hN (j:ℕ):0 ≤ N j:=by dsimp [N]; split_ifs <;> norm_num
have hpoint (j:ℕ):R j*separation s law (hR j).le σ (t.val+1) (σ t) y ≤
(if R j ≤ 4*dist (σ t) y then R j else 0)+1050*dist (σ t) y*(N j+L j):=by
by_cases hsmall:R j ≤ 4*dist (σ t) y
· rw [ite_eq_left hsmall]
have hs:=mul_le_mul_of_nonneg_left (separation_le_one s law (hR j) σ (t.val+1) (σ t) y) (hR j).le
have hmore:0 ≤ 1050*dist (σ t) y*(N j+L j):=mul_nonneg (by positivity) (add_nonneg (hN j) (hL j))
linarith
· rw [ite_eq_right hsmall]
have hbig:4*dist (σ t) y < R j:=lt_of_not_ge hsmall
dsimp only [N]
split_ifs with hh
· rw [heavy_zero s law (hR j) σ t y hbig hh,mul_zero,zero_add,zero_add]
exact mul_nonneg (by positivity) (hL j)
· have hs:=request_bound s law (hR j) σ hσ t y hbig
have hm:=mul_le_mul_of_nonneg_left hs (hR j).le
have he:R j*(1050*(1+L j)*dist (σ t) y/R j)=1050*dist (σ t) y*(1+L j):=by field_simp [(hR j).ne']
change R j*separation s law (hR j).le σ (t.val+1) (σ t) y ≤ R j*(1050*(1+L j)*dist (σ t) y/R j) at hm
simpa only [he,zero_add] using hm
have hsum:=sum_le_sum (fun j (_:j∈range n)=>hpoint j)
rw [sum_add_distrib,←mul_sum,sum_add_distrib] at hsum
have hsmall:=Pilot.radius_truncated_sum hr.le hτ (by positivity : 0 ≤ 4*dist (σ t) y) n
have hlogs:=LevelScale.actual_logratio_sum s law σ hσ t hr.le hτ n
have hcount:=LevelScale.actual_nonheavy_count s law σ hσ t hr.le hτ n
have hlarge:=mul_le_mul_of_nonneg_left (add_le_add hcount hlogs)
(by positivity : 0 ≤ 1050*dist (σ t) y)
have htotal:=hsum.trans (add_le_add hsmall hlarge)
convert htotal using 1; first | rfl | ring
end KServer.LevelSpatial
end
/-! Physical movement of the tier noncoverage potential on steps without an
insertion. Unqualified dyadic heights sum against the local log ratio. -/
noncomputable section
open scoped BigOperators
open Finset
namespace KServer.LevelNoInsert
open ActualRoster LevelKeys LevelCoverage LevelLaw LevelTierEdits LevelRetirement FiniteExperiment TierProcess Pilot
attribute [local instance] Classical.propDecidable Classical.decEq
local instance (priority := 2000) finDecEq (n:ℕ) : DecidableEq (Fin n) := Classical.decEq _
lemma filtered_powers {L:ℝ} (hL:0 ≤ L) (n:ℕ) :
(∑ i∈range n,if (2:ℝ)^i<L then (2:ℝ)^i else 0) ≤ 2*L := by
induction n with
| zero => simp only [range_zero,sum_empty]; linarith
| succ n ih =>
by_cases hn:(2:ℝ)^n<L
· have he : (∑ i∈range (n+1),if (2:ℝ)^i<L then (2:ℝ)^i else 0)=
∑ i∈range (n+1),(2:ℝ)^i := by
apply sum_congr rfl
intro i hi
exact ite_eq_left ((pow_le_pow_right₀ (by norm_num : (1:ℝ) ≤ 2)
(by have hh:=mem_range.mp hi; omega)).trans_lt hn)
rw [he,TierDyadic.tier_sum]
linarith
· rw [sum_range_succ,ite_eq_right hn,add_zero]
exact ih
lemma tier_count (k:ℕ) : (Fintype.card (Tier k):ℝ) ≤ 4*(1+Real.log k) := by
by_cases hk:k=0
· subst k
norm_num [Tier,TierDyadic.index_zero (show (0:ℝ) ≤ 1 by norm_num)]
have hl:0 ≤ Real.log k:=Real.log_nonneg (by exact_mod_cast Nat.one_le_iff_ne_zero.mpr hk)
have hp:=TierDyadic.qualified_sum hl
have hi : (Fintype.card (Tier k):ℝ) ≤ ∑ i∈range (TierDyadic.index (Real.log k)+1),(2:ℝ)^i := by
calc _ = ∑ i∈range (TierDyadic.index (Real.log k)+1),(1:ℝ) := by simp [Tier]
_ ≤ _ := sum_le_sum (fun i _=>one_le_pow₀ (by norm_num))
exact hi.trans hp
variable {Y:Type*} [MetricSpace Y] [Fintype Y] {k H:ℕ} [NeZero k]
lemma unqualified_height_sum (s:Configuration k Y) (law:RequestLaw Y H)
{r:ℝ} (hr:0 ≤ r) (σ:Fin H→Y) (hs:0 < law.val σ) (t:Fin H) :
(∑ i:Tier k,if tierQualifies s law r σ i t then 0 else height i) ≤
2*logratio s law σ t r := by
trans ∑ i:Tier k,if height i<logratio s law σ t r then height i else 0
· apply sum_le_sum
intro i _
by_cases hq:tierQualifies s law r σ i t
· rw [ite_eq_left hq]; split_ifs
· exact (show (0:ℝ) ≤ 1 by norm_num).trans (height_ge i)
· rfl
· have hi:height i<logratio s law σ t r:=lt_of_not_ge (fun hn=>hq (qualifies_of_log s law σ hs t hr hn))
rw [ite_eq_right hq,ite_eq_left hi]
· unfold height
have he:=Fin.sum_univ_eq_sum_range (fun j:ℕ=>if (2:ℝ)^j<logratio s law σ t r then (2:ℝ)^j else 0) (TierDyadic.index (Real.log k)+1)
rw [he]
exact filtered_powers (logratio_bounds s law σ hs t hr).1 _
/-- Positive error is zero on insertion steps here; those steps are separately
charged to the actual retirement and pilot budgets. -/
def error (s:Configuration k Y) (law:RequestLaw Y H) {r:ℝ} (hr:0 ≤ r)
(σ:Fin H→Y) (t:Fin H) (i:Tier k) (p:Y) : ℝ :=
if inserted s law r σ t i then 0 else mean r (fun a=>
LevelTierEdits.charge s law hr σ a t i p+uncovered s law hr σ a (t.val+1) i (σ t)-
uncovered s law hr σ a t i p)
lemma error_le_one (s:Configuration k Y) (law:RequestLaw Y H) {r:ℝ} (hr:0 < r)
(σ:Fin H→Y) (t:Fin H) (i:Tier k) (p:Y) : error s law hr.le σ t i p ≤ 1 := by
unfold error
split_ifs with hin
· norm_num
· have hb:=mean_mono hr (fun a=>no_insert_mover s law hr σ a t i p hin)
refine hb.trans ((mean_mono hr (fun a=>?_)).trans_eq (mean_const hr 1))
split_ifs
· norm_num
· unfold indicator; split_ifs <;> norm_num
lemma error_spatial (s:Configuration k Y) (law:RequestLaw Y H) {r:ℝ} (hr:0 < r)
(σ:Fin H→Y) (t:Fin H) (i:Tier k) (p:Y) (hp:dist (σ t) p ≤ r) :
error s law hr.le σ t i p ≤
(262*dist (σ t) p/r)*(if tierQualifies s law r σ i t then 0 else height i) := by
have hnon:0 ≤ 262*dist (σ t) p/r:=by positivity
unfold error
by_cases hin:inserted s law r σ t i
· rw [ite_eq_left hin]
exact mul_nonneg hnon (by split_ifs <;> first | rfl | exact (height_ge i).trans' (by norm_num))
· rw [ite_eq_right hin]
have hb:=mean_mono hr (fun a=>no_insert_mover s law hr σ a t i p hin)
by_cases hq:tierQualifies s law r σ i t
· simp only [ite_eq_left hq,mul_zero,mean_const hr] at hb ⊢
exact hb
· simp only [ite_eq_right hq] at hb ⊢
rw [mean_indicator] at hb
have hc:=LevelLaw.tier_spatial s law hr σ (t.val+1) i (σ t) p hp
have hh:=mul_le_mul_of_nonneg_right (TierDyadic.radius_coefficient (height_ge i))
(div_nonneg (dist_nonneg (x:=σ t) (y:=p)) hr.le)
dsimp only [keys] at hb hc
have hbound : (∑ a:Tape Y k H r,if TierKeys.key (request s σ) hr.le (tierK (height i))
(tierQualifies s law r σ i) (a.2 i).1 (a.2 i).2 (t.val+1) (σ t) ≠
TierKeys.key (request s σ) hr.le (tierK (height i)) (tierQualifies s law r σ i)
(a.2 i).1 (a.2 i).2 (t.val+1) p then weight r a else 0) ≤
(262*dist (σ t) p/r)*height i := by
refine hc.trans ?_
convert mul_le_mul_of_nonneg_left hh (by norm_num : (0:ℝ) ≤ 2) using 1 <;> ring
apply hb.trans
convert hbound using 1; first | rfl | (apply sum_congr rfl; intro a _; congr 1)
lemma level_error (s:Configuration k Y) (law:RequestLaw Y H) {r:ℝ} (hr:0 < r)
(σ:Fin H→Y) (hs:0 < law.val σ) (t:Fin H) (p:Y) :
r*(∑ i:Tier k,error s law hr.le σ t i p) ≤
(if r ≤ 4*dist (σ t) p then (Fintype.card (Tier k):ℝ)*r else 0)+
524*dist (σ t) p*logratio s law σ t r := by
by_cases hp:r ≤ 4*dist (σ t) p
· rw [ite_eq_left hp]
have hb:=sum_le_sum (fun i (_:i∈univ)=>error_le_one s law hr σ t i p)
simp only [sum_const,card_univ,nsmul_eq_mul,mul_one] at hb
have hc:=mul_le_mul_of_nonneg_left hb hr.le
have hn:=mul_nonneg (by positivity : 0 ≤ 524*dist (σ t) p) (logratio_bounds s law σ hs t hr.le).1
nlinarith
· rw [ite_eq_right hp,zero_add]
have hdist:dist (σ t) p ≤ r:=by linarith [dist_nonneg (x:=σ t) (y:=p)]
have hb:=sum_le_sum (fun i (_:i∈univ)=>error_spatial s law hr σ t i p hdist)
rw [←mul_sum] at hb
have hc:=hb.trans (mul_le_mul_of_nonneg_left (unqualified_height_sum s law hr.le σ hs t) (by positivity))
have hd:=mul_le_mul_of_nonneg_left hc hr.le
calc _ ≤ r*((262*dist (σ t) p/r)*(2*logratio s law σ t r)) := hd
_ = _ := by field_simp [hr.ne']; ring
lemma scales_error (s:Configuration k Y) (law:RequestLaw Y H)
(σ:Fin H→Y) (hs:0 < law.val σ) (t:Fin H) (p:Y)
{r₀ τ:ℝ} (hr:0 < r₀) (hτ:2 ≤ τ) (n:ℕ) :
(∑ j∈range n,Pilot.radius r₀ τ j *
(∑ i:Tier k,error s law (Pilot.radius_pos hr (by linarith) j).le σ t i p)) ≤
(32*(1+Real.log k)+31440*Real.log k)*dist (σ t) p := by
have hb:=sum_le_sum (fun j (_:j∈range n)=>level_error s law (Pilot.radius_pos hr (by linarith) j) σ hs t p)
rw [sum_add_distrib,←mul_sum] at hb
have he:(∑ j∈range n,if Pilot.radius r₀ τ j ≤ 4*dist (σ t) p then
(Fintype.card (Tier k):ℝ)*Pilot.radius r₀ τ j else 0)=
(Fintype.card (Tier k):ℝ)*∑ j∈range n,if Pilot.radius r₀ τ j ≤ 4*dist (σ t) p then Pilot.radius r₀ τ j else 0 := by
rw [mul_sum]
apply sum_congr rfl
intro j _
split_ifs <;> ring
rw [he] at hb
have hsmall:=mul_le_mul_of_nonneg_left (Pilot.radius_truncated_sum hr.le hτ
(by positivity : 0 ≤ 4*dist (σ t) p) n) (Nat.cast_nonneg (Fintype.card (Tier k)): (0:ℝ) ≤ _)
have hlarge:=mul_le_mul_of_nonneg_left (LevelScale.actual_logratio_sum s law σ hs t hr.le hτ n)
(by positivity : 0 ≤ 524*dist (σ t) p)
have hcount:=mul_le_mul_of_nonneg_right (tier_count k) (by positivity : 0 ≤ 8*dist (σ t) p)
have ht:=hb.trans (add_le_add hsmall hlarge)
nlinarith
end KServer.LevelNoInsert
end
end OAI