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import Mathlib
import OAI.Analysis.HardSphere.Paths.TimeGaps
namespace OAI
section
noncomputable section
open MeasureTheory ProbabilityTheory Set Filter
open scoped ENNReal BigOperators Topology
namespace HardSphere.DyadicSkeleton
lemma orderedEncounterConstant_one_le : 1 ≤ orderedEncounterConstant := by
simpa only [orderedEncounterConstant,ENNReal.toReal_one] using
ENNReal.toReal_mono gapKernel_sum_ne_top gapKernel_sum_one_le
def nearPotential (n : ℕ) (y : Fin 2 → ℝ) (R : ℝ) (ω : Noise) : ℝ :=
(nearTest n y R ω).toReal
lemma nearPotential_nonneg (n : ℕ) (y : Fin 2 → ℝ) (R : ℝ) (ω : Noise) :
0 ≤ nearPotential n y R ω := ENNReal.toReal_nonneg
lemma nearPotential_le_one (n : ℕ) (y : Fin 2 → ℝ) (R : ℝ) (ω : Noise) :
nearPotential n y R ω ≤ 1 := by
simpa only [nearPotential,ENNReal.toReal_one] using
ENNReal.toReal_mono (by norm_num : (1:ℝ≥0∞) ≠ ∞) (nearTest_le_one n y R ω)
lemma nearPotential_cast (n : ℕ) (y : Fin 2 → ℝ) (R : ℝ) (ω : Noise) :
ENNReal.ofReal (nearPotential n y R ω) = nearTest n y R ω :=
ENNReal.ofReal_toReal (ne_top_of_le_ne_top (by norm_num) (nearTest_le_one n y R ω))
@[fun_prop] lemma measurable_nearPotential (n : ℕ) (y : Fin 2 → ℝ) (R : ℝ) :
Measurable (nearPotential n y R) := (measurable_nearTest n y R).ennreal_toReal
def singleRadiusWeights (R : ℕ) (a : ℝ≥0∞) (l : ℕ) : ℝ≥0∞ := if l=R then a else 0
lemma singleRadiusWeights_envelope (R : ℕ) (a : ℝ≥0∞) (n : ℕ)
(y : Fin 2 → ℝ) (ω : Noise) :
radiusEnvelope (singleRadiusWeights R a) n y ω = a * nearTest n y (R:ℝ) ω := by
simp [radiusEnvelope,singleRadiusWeights,ite_mul]
lemma singleRadiusWeights_activity (R : ℕ) (a : ℝ≥0∞) :
radiusActivity (singleRadiusWeights R a) =
ENNReal.ofReal orderedEncounterConstant * (a * radiusFactor (R:ℝ)) := by
simp [radiusActivity,singleRadiusWeights,ite_mul]
def hitConstant : ℝ := (4 * Real.exp 2 * orderedEncounterConstant)⁻¹
lemma hitConstant_pos : 0 < hitConstant := by
unfold hitConstant
positivity [orderedEncounterConstant_pos]
lemma hitConstant_le_one : hitConstant ≤ 1 := by
have he : 1 ≤ Real.exp 2 := Real.one_le_exp (by norm_num)
have hc := orderedEncounterConstant_one_le
have hd : 1 ≤ 4 * Real.exp 2 * orderedEncounterConstant := by nlinarith
exact (inv_le_one₀ (by positivity)).mpr hd
lemma same_time_hit_moment (T R : ℕ) (y : ℕ → Fin 2 → ℝ) :
(∫⁻ ω, ENNReal.ofReal (Real.exp ((hitConstant/(1+(R:ℝ))^2) *
∑ u ∈ Finset.range (T+1), nearPotential u (y u) (R:ℝ) ω)) ∂law) ≤ 2 := by
let a := hitConstant/(2*(1+(R:ℝ))^2)
have hp : 0 < (1+(R:ℝ))^2 := by positivity
have ha : 0 ≤ a := by dsimp [a]; exact div_nonneg hitConstant_pos.le (by positivity)
have ha1 : a ≤ 1 := by
dsimp [a]
apply (div_le_one (by positivity)).mpr
have hr := Nat.cast_nonneg (α:=ℝ) R
nlinarith [hitConstant_le_one]
have hsmall : ENNReal.ofReal (2*Real.exp 2) *
radiusActivity (singleRadiusWeights R (ENNReal.ofReal a)) ≤ (1/2:ℝ≥0∞) := by
rw [singleRadiusWeights_activity,radiusFactor,
← ENNReal.ofReal_mul ha,← ENNReal.ofReal_mul orderedEncounterConstant_pos.le,
← ENNReal.ofReal_mul (by positivity : 0 ≤ 2*Real.exp 2)]
have heq : 2*Real.exp 2*(orderedEncounterConstant*(a*(1+(R:ℝ))^2)) = 1/4 := by
dsimp [a,hitConstant]
field_simp [ne_of_gt orderedEncounterConstant_pos,ne_of_gt (Real.exp_pos 2)]
rw [heq]
norm_num [ENNReal.ofReal_div_of_pos]
have h := radius_exponential_bound T (singleRadiusWeights R (ENNReal.ofReal a)) y
(fun n ω ↦ a*nearPotential n (y n) (R:ℝ) ω)
(fun n ω ↦ mul_nonneg ha (nearPotential_nonneg n (y n) (R:ℝ) ω))
(fun n ω ↦ (mul_le_mul_of_nonneg_left (nearPotential_le_one n (y n) (R:ℝ) ω) ha).trans
(by simpa using ha1))
(by intro n ω; rw [ENNReal.ofReal_mul ha,nearPotential_cast,singleRadiusWeights_envelope]) hsmall
convert h using 1
apply lintegral_congr
intro ω
congr 2
rw [← Finset.mul_sum]
dsimp [a]
field_simp
def transverseDistance (n : ℕ) (y : Fin 2 → ℝ) (ω : Noise) : ℝ :=
max |position ω 0 n-y 0| |position ω 1 n-y 1|
lemma transverseDistance_nonneg (n : ℕ) (y : Fin 2 → ℝ) (ω : Noise) :
0 ≤ transverseDistance n y ω := (abs_nonneg _).trans (le_max_left _ _)
@[fun_prop] lemma measurable_transverseDistance (n : ℕ) (y : Fin 2 → ℝ) :
Measurable (transverseDistance n y) := by unfold transverseDistance; fun_prop
lemma nearTest_eq_one (n : ℕ) (y : Fin 2 → ℝ) (R : ℝ) (ω : Noise)
(h : transverseDistance n y ω ≤ R) : nearTest n y R ω = 1 := by
have h' := max_le_iff.mp h
simp [nearTest,coordinateTest,h'.1,h'.2]
def softPotential (B : ℝ) (n : ℕ) (y : Fin 2 → ℝ) (ω : Noise) : ℝ :=
Real.exp (-transverseDistance n y ω/B)
lemma softPotential_nonneg (B : ℝ) (n : ℕ) (y : Fin 2 → ℝ) (ω : Noise) :
0 ≤ softPotential B n y ω := (Real.exp_pos _).le
lemma softPotential_le_one (B : ℝ) (hB : 0 < B) (n : ℕ) (y : Fin 2 → ℝ) (ω : Noise) :
softPotential B n y ω ≤ 1 :=
Real.exp_le_one_iff.mpr (div_nonpos_of_nonpos_of_nonneg (by
linarith [transverseDistance_nonneg n y ω]) hB.le)
@[fun_prop] lemma measurable_softPotential (B : ℝ) (n : ℕ) (y : Fin 2 → ℝ) :
Measurable (softPotential B n y) := by unfold softPotential; fun_prop
def softWeights (B : ℝ) (l : ℕ) : ℝ≥0∞ := ENNReal.ofReal (Real.exp ((1-(l:ℝ))/B))
lemma softPotential_envelope (B : ℝ) (hB : 0 < B) (n : ℕ) (y : Fin 2 → ℝ) (ω : Noise) :
ENNReal.ofReal (softPotential B n y ω) ≤ radiusEnvelope (softWeights B) n y ω := by
let l := ⌈transverseDistance n y ω⌉₊
have hl : transverseDistance n y ω ≤ (l:ℝ) := Nat.le_ceil _
have hl' : (l:ℝ) < transverseDistance n y ω+1 :=
Nat.ceil_lt_add_one (transverseDistance_nonneg n y ω)
refine le_trans ?_ (ENNReal.le_tsum (f := fun k : ℕ ↦
softWeights B k * nearTest n y (k:ℝ) ω) l)
rw [nearTest_eq_one n y (l:ℝ) ω hl,mul_one]
change ENNReal.ofReal (Real.exp (-transverseDistance n y ω/B)) ≤
ENNReal.ofReal (Real.exp ((1-(l:ℝ))/B))
apply ENNReal.ofReal_le_ofReal
apply Real.exp_le_exp.mpr
exact div_le_div_of_nonneg_right (by linarith) hB.le
lemma soft_activity_ne_top (B : ℝ) (hB : 0 < B) : radiusActivity (softWeights B) ≠ ∞ := by
let q := Real.exp (-1/B)
have hq : ‖q‖ < 1 := by
rw [Real.norm_eq_abs,abs_of_pos (Real.exp_pos _)]
apply Real.exp_lt_one_iff.mpr
exact div_neg_of_neg_of_pos (by norm_num) hB
have hs0 : Summable (fun l : ℕ ↦ q^l) := summable_geometric_of_norm_lt_one hq
have hs1 := summable_pow_mul_geometric_of_norm_lt_one 1 hq
have hs2 := summable_pow_mul_geometric_of_norm_lt_one 2 hq
have hs : Summable (fun l : ℕ ↦ Real.exp ((1-(l:ℝ))/B)*(1+(l:ℝ))^2) := by
have h := ((hs2.add (hs1.mul_left 2)).add hs0).mul_left (Real.exp (1/B))
apply h.congr
intro l
have he : Real.exp ((1-(l:ℝ))/B) = Real.exp (1/B) * q^l := by
rw [show (1-(l:ℝ))/B = 1/B + (l:ℝ)*(-1/B) by ring,Real.exp_add,Real.exp_nat_mul]
rw [he]
simp only [pow_one]
ring
have he : (∑' l : ℕ, softWeights B l * radiusFactor (l:ℝ)) =
ENNReal.ofReal (∑' l : ℕ, Real.exp ((1-(l:ℝ))/B)*(1+(l:ℝ))^2) := by
simp only [softWeights,radiusFactor,← ENNReal.ofReal_mul (Real.exp_pos _).le]
exact (ENNReal.ofReal_tsum_of_nonneg (fun l ↦ by positivity) hs).symm
unfold radiusActivity
rw [he]
finiteness
lemma same_time_soft_moment (B : ℝ) (hB : 0 < B) :
∃ ξ : ℝ, 0 < ξ ∧ ∀ (T : ℕ) (y : ℕ → Fin 2 → ℝ),
(∫⁻ ω, ENNReal.ofReal (Real.exp (ξ *
∑ u ∈ Finset.range (T+1), softPotential B u (y u) ω)) ∂law) ≤ 2 := by
let A := (radiusActivity (softWeights B)).toReal
let δ := (4*Real.exp 2*(1+A))⁻¹
have hA : 0 ≤ A := ENNReal.toReal_nonneg
have hAc : ENNReal.ofReal A = radiusActivity (softWeights B) :=
ENNReal.ofReal_toReal (soft_activity_ne_top B hB)
have hd : 0 < δ := by dsimp [δ]; positivity
have hd1 : δ ≤ 1 := by
apply (inv_le_one₀ (by positivity)).mpr
have he : 1 ≤ Real.exp 2 := Real.one_le_exp (by norm_num)
nlinarith
refine ⟨2*δ,by positivity,?_⟩
intro T y
let a := fun l ↦ ENNReal.ofReal δ * softWeights B l
have hsmall : ENNReal.ofReal (2*Real.exp 2) * radiusActivity a ≤ (1/2:ℝ≥0∞) := by
rw [show radiusActivity a = ENNReal.ofReal δ * radiusActivity (softWeights B) from
radiusActivity_smul _ _,← hAc,← ENNReal.ofReal_mul hd.le,
← ENNReal.ofReal_mul (by positivity : 0 ≤ 2*Real.exp 2)]
calc
_ ≤ ENNReal.ofReal (1/2:ℝ) := by
apply ENNReal.ofReal_le_ofReal
dsimp [δ]
have he := Real.exp_pos 2
field_simp
nlinarith
_ = _ := by norm_num [ENNReal.ofReal_div_of_pos]
have h := radius_exponential_bound T a y
(fun n ω ↦ δ * softPotential B n (y n) ω)
(fun n ω ↦ mul_nonneg hd.le (softPotential_nonneg B n (y n) ω))
(fun n ω ↦ (mul_le_mul_of_nonneg_left (softPotential_le_one B hB n (y n) ω) hd.le).trans
(by simpa using hd1))
(by
intro n ω
rw [ENNReal.ofReal_mul hd.le]
exact (mul_le_mul_right (softPotential_envelope B hB n (y n) ω) (ENNReal.ofReal δ)).trans_eq
(radiusEnvelope_smul _ _ n (y n) ω).symm) hsmall
convert h using 1
apply lintegral_congr
intro ω
congr 2
rw [← Finset.mul_sum]
ring
def twoCopyDistance (n : ℕ) (z : Noise × Noise) : ℝ :=
transverseDistance n (fun j ↦ position z.2 j n) z.1
@[fun_prop] lemma measurable_twoCopyDistance (n : ℕ) :
Measurable (twoCopyDistance n) := by
unfold twoCopyDistance transverseDistance
exact (((measurable_position 0 n).comp measurable_fst).sub
((measurable_position 0 n).comp measurable_snd)).abs.max
(((measurable_position 1 n).comp measurable_fst).sub
((measurable_position 1 n).comp measurable_snd)).abs
@[fun_prop] lemma measurable_twoCopyNear (n : ℕ) (R : ℝ) :
Measurable (fun z : Noise × Noise ↦
nearPotential n (fun j ↦ position z.2 j n) R z.1) := by
unfold nearPotential nearTest
apply Measurable.ennreal_toReal
apply Measurable.mul
all_goals
apply measurable_const.indicator
apply measurableSet_le _ measurable_const
apply Measurable.abs
exact ((measurable_position _ n).comp measurable_fst).sub
((measurable_position _ n).comp measurable_snd)
lemma two_copy_hit_moment (T R : ℕ) :
(∫⁻ z, ENNReal.ofReal (Real.exp ((hitConstant/(1+(R:ℝ))^2) *
∑ u ∈ Finset.range (T+1), nearPotential u
(fun j ↦ position z.2 j u) (R:ℝ) z.1)) ∂law.prod law) ≤ 2 := by
rw [lintegral_prod_symm _ (by
apply Measurable.aemeasurable
apply Measurable.ennreal_ofReal
apply Measurable.exp
apply Measurable.const_mul
exact Finset.measurable_sum _ (fun u _ ↦ measurable_twoCopyNear u (R:ℝ)))]
calc
_ ≤ ∫⁻ _ : Noise, (2:ℝ≥0∞) ∂law := lintegral_mono (fun ω ↦
same_time_hit_moment T R (fun u j ↦ position ω j u))
_ = 2 := by simp
lemma two_copy_soft_moment (B : ℝ) (hB : 0 < B) :
∃ ξ : ℝ, 0 < ξ ∧ ∀ T : ℕ,
(∫⁻ z, ENNReal.ofReal (Real.exp (ξ *
∑ u ∈ Finset.range (T+1), Real.exp (-twoCopyDistance u z / B)))
∂law.prod law) ≤ 2 := by
obtain ⟨ξ,hξ,h⟩ := same_time_soft_moment B hB
refine ⟨ξ,hξ,fun T ↦ ?_⟩
rw [lintegral_prod_symm _ (by fun_prop)]
calc
_ ≤ ∫⁻ _ : Noise, (2:ℝ≥0∞) ∂law := lintegral_mono (fun ω ↦
h T (fun u j ↦ position ω j u))
_ = 2 := by simp
lemma position_lipschitz (ω : Noise) (j : Fin 2) (s t : ℕ) :
|position ω j s-position ω j t| ≤ |(s:ℝ)-t|/2 := by
have hinc (a k : ℕ) : |position ω j (a+k)-position ω j a| ≤ (k:ℝ)/2 := by
induction k with
| zero => simp
| succ k ih =>
rw [Nat.add_succ, position_succ]
calc
_ = |(position ω j (a+k)-position ω j a)+velocity ω j (a+k)| := by congr 1; ring
_ ≤ _ := abs_add_le _ _
_ ≤ (k:ℝ)/2+1/2 := add_le_add ih (velocity_abs_le ω j (a+k))
_ = _ := by push_cast; ring
rcases le_total t s with h | h
· have hs : 0 ≤ (s:ℝ)-t := sub_nonneg.mpr (by exact_mod_cast h)
rw [abs_of_nonneg hs]
simpa only [Nat.add_sub_of_le h,Nat.cast_sub h] using hinc t (s-t)
· have hs : 0 ≤ (t:ℝ)-s := sub_nonneg.mpr (by exact_mod_cast h)
rw [abs_sub_comm (s:ℝ),abs_of_nonneg hs,abs_sub_comm (position ω j s)]
simpa only [Nat.add_sub_of_le h,Nat.cast_sub h] using hinc s (t-s)
lemma position_abs_le (ω : Noise) (j : Fin 2) (t : ℕ) :
|position ω j t| ≤ (t:ℝ)/2 := by
simpa [position,abs_of_nonneg (Nat.cast_nonneg (α:=ℝ) t)] using position_lipschitz ω j t 0
lemma fold_time_lipschitz (n s t : ℕ) (hs : s ≤ n) (ht : t ≤ n) :
|((min s (n-s):ℕ):ℝ)-((min t (n-t):ℕ):ℝ)| ≤ |(s:ℝ)-t| := by
have h := abs_min_sub_min_le_max (s:ℝ) ((n:ℝ)-s) (t:ℝ) ((n:ℝ)-t)
have he : |((n:ℝ)-s)-((n:ℝ)-t)| = |(s:ℝ)-t| := by
rw [sub_sub_sub_cancel_left,abs_sub_comm]
simpa only [Nat.cast_min,Nat.cast_sub hs,Nat.cast_sub ht,he,max_self] using h
abbrev Vertex := Fin 3 → ℤ
def baseTrans (n : ℕ) (d : Fin 2 → ℤ) (ω : Noise) (t : ℕ) (j : Fin 2) : ℝ :=
(t:ℝ)*(d j:ℝ)/(n:ℝ)+position ω j (min t (n-t))
def baseVertex (n : ℕ) (d : Fin 2 → ℤ) (ω : Noise) (t : ℕ) : Vertex :=
![(t:ℤ),⌊baseTrans n d ω t 0⌋,⌊baseTrans n d ω t 1⌋]
@[fun_prop] lemma measurable_baseTrans (n : ℕ) (d : Fin 2 → ℤ) (t : ℕ) (j : Fin 2) :
Measurable (fun ω ↦ baseTrans n d ω t j) := by unfold baseTrans; fun_prop
@[fun_prop] lemma measurable_baseVertex (n : ℕ) (d : Fin 2 → ℤ) (t : ℕ) :
Measurable (fun ω ↦ baseVertex n d ω t) := by
apply Measurable.of_eval
intro j
fin_cases j
· exact measurable_const
· exact Int.measurable_floor.comp (measurable_baseTrans n d t 0)
· exact Int.measurable_floor.comp (measurable_baseTrans n d t 1)
lemma drift_rate_le (n : ℕ) (hn : 0 < n) (d : ℤ) (hd : |d| ≤ n) :
|(d:ℝ)/(n:ℝ)| ≤ 1 := by
have hn' : 0 < (n:ℝ) := by exact_mod_cast hn
rw [abs_div,abs_of_pos hn',div_le_one hn']
exact_mod_cast hd
lemma baseTrans_lipschitz (n : ℕ) (hn : 0 < n) (d : Fin 2 → ℤ)
(hd : ∀j, |d j| ≤ n) (ω : Noise) (s t : ℕ) (hs : s ≤ n) (ht : t ≤ n) (j : Fin 2) :
|baseTrans n d ω s j-baseTrans n d ω t j| ≤ (3/2)*|(s:ℝ)-t| := by
have hp := (position_lipschitz ω j (min s (n-s)) (min t (n-t))).trans
(div_le_div_of_nonneg_right (fold_time_lipschitz n s t hs ht) (by norm_num : (0:ℝ) ≤ 2))
calc
_ = |((s:ℝ)-t)*((d j:ℝ)/(n:ℝ))+
(position ω j (min s (n-s))-position ω j (min t (n-t)))| := by
unfold baseTrans; congr 1; ring
_ ≤ _ := abs_add_le _ _
_ ≤ |(s:ℝ)-t| + |(s:ℝ)-t|/2 := add_le_add (by
rw [abs_mul]
exact (mul_le_mul_of_nonneg_left (drift_rate_le n hn (d j) (hd j))
(abs_nonneg _)).trans_eq (mul_one _)) hp
_ = _ := by ring
lemma floor_abs_sub_le_two (x y : ℝ) (h : |x-y| ≤ 3/2) :
|⌊x⌋-⌊y⌋| ≤ (2:ℤ) := by
have hf := Int.floor_le x
have hg := Int.lt_floor_add_one y
have hf' := Int.floor_le y
have hg' := Int.lt_floor_add_one x
obtain ⟨hl,hu⟩ := abs_le.mp h
apply abs_le.mpr
constructor
· by_contra hn
have h' : ⌊y⌋-⌊x⌋ ≥ (3:ℤ) := by omega
have hh : (3:ℝ) ≤ (⌊y⌋:ℝ)-(⌊x⌋:ℝ) := by exact_mod_cast h'
linarith
· by_contra hn
have h' : ⌊x⌋-⌊y⌋ ≥ (3:ℤ) := by omega
have hh : (3:ℝ) ≤ (⌊x⌋:ℝ)-(⌊y⌋:ℝ) := by exact_mod_cast h'
linarith
lemma baseVertex_step (n : ℕ) (hn : 0 < n) (d : Fin 2 → ℤ)
(hd : ∀j, |d j| ≤ n) (ω : Noise) (t : ℕ) (ht : t < n) (j : Fin 3) :
|baseVertex n d ω (t+1) j-baseVertex n d ω t j| ≤ 2 := by
have hh (i : Fin 2) : |⌊baseTrans n d ω (t+1) i⌋-⌊baseTrans n d ω t i⌋| ≤ (2:ℤ) := by
apply floor_abs_sub_le_two
have h := baseTrans_lipschitz n hn d hd ω (t+1) t (by omega) (by omega) i
simpa only [Nat.cast_add,Nat.cast_one,add_sub_cancel_left,abs_one,mul_one] using h
fin_cases j
· norm_num [baseVertex]
· exact hh 0
· exact hh 1
lemma baseVertex_initial (n : ℕ) (d : Fin 2 → ℤ) (ω : Noise) :
baseVertex n d ω 0 = 0 := by
ext j
fin_cases j <;> simp [baseVertex,baseTrans,position]
lemma baseVertex_final (n : ℕ) (hn : 0 < n) (d : Fin 2 → ℤ) (ω : Noise) :
baseVertex n d ω n = ![(n:ℤ),d 0,d 1] := by
have hn0 : (n:ℝ) ≠ 0 := by exact_mod_cast (ne_of_gt hn)
ext j
fin_cases j <;> simp [baseVertex,baseTrans,position,mul_div_cancel_left₀ _ hn0]
def axisSteps (a b : ℤ) : List ℤ :=
if a ≤ b then (List.range (b-a).toNat).map (fun k : ℕ ↦ a+(k:ℤ)+1)
else (List.range (a-b).toNat).map (fun k : ℕ ↦ a-(k:ℤ)-1)
lemma axisSteps_length (a b : ℤ) : (axisSteps a b).length = (b-a).natAbs := by
unfold axisSteps
split_ifs with h <;> simp only [List.length_map,List.length_range]
· have hh := Int.natAbs_of_nonneg (by omega : 0 ≤ b-a)
have hh' := Int.toNat_of_nonneg (by omega : 0 ≤ b-a)
omega
· rw [← Int.natAbs_neg,Int.neg_sub]
have hh := Int.natAbs_of_nonneg (by omega : 0 ≤ a-b)
have hh' := Int.toNat_of_nonneg (by omega : 0 ≤ a-b)
omega
lemma axisSteps_between (a b c : ℤ) (hc : c ∈ axisSteps a b) :
min a b ≤ c ∧ c ≤ max a b := by
unfold axisSteps at hc
split_ifs at hc with h
· obtain ⟨k,hk,rfl⟩ := List.mem_map.mp hc
have hk' := List.mem_range.mp hk
simp only [min_eq_left h,max_eq_right h]
omega
· obtain ⟨k,hk,rfl⟩ := List.mem_map.mp hc
have hk' := List.mem_range.mp hk
simp only [min_eq_right (by omega : b ≤ a),max_eq_left (by omega : b ≤ a)]
omega
lemma axisSteps_near_final (a b c : ℤ) (hc : c ∈ axisSteps a b) :
|c-b| ≤ |a-b| := by
obtain ⟨hl,hu⟩ := axisSteps_between a b c hc
rcases le_total a b with h|h
· rw [min_eq_left h] at hl
rw [max_eq_right h] at hu
rw [abs_of_nonpos (by omega : a-b ≤ 0),abs_of_nonpos (by omega : c-b ≤ 0)]
omega
· rw [min_eq_right h] at hl
rw [max_eq_left h] at hu
rw [abs_of_nonneg (by omega : 0 ≤ a-b),abs_of_nonneg (by omega : 0 ≤ c-b)]
omega
def refineStep (a b : Vertex) : List Vertex :=
[![b 0,a 1,a 2]] ++
(axisSteps (a 1) (b 1)).map (fun c ↦ ![b 0,c,a 2]) ++
(axisSteps (a 2) (b 2)).map (fun c ↦ ![b 0,b 1,c])
lemma refineStep_length (a b : Vertex) (h : ∀j, |b j-a j| ≤ 2) :
(refineStep a b).length ≤ 5 := by
simp only [refineStep,List.length_append,List.length_singleton,List.length_map,axisSteps_length]
have h1 := h 1
have h2 := h 2
have ha1 : (b 1-a 1).natAbs ≤ 2 := by
have hh : ((b 1-a 1).natAbs:ℤ) ≤ 2 := by simpa only [Int.natCast_natAbs] using h1
exact_mod_cast hh
have ha2 : (b 2-a 2).natAbs ≤ 2 := by
have hh : ((b 2-a 2).natAbs:ℤ) ≤ 2 := by simpa only [Int.natCast_natAbs] using h2
exact_mod_cast hh
omega
end HardSphere.DyadicSkeleton
end
end
end OAI