openAI-math-dataset / lean /OAI /Probability /SATComputability /ArithmeticEnclosures.lean
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import OAI.Probability.SATComputability.EffectiveLog
import OAI.MathematicalPhysics.RapidForcing.ComputableProfiles
namespace OAI
namespace FixedClauseThreshold.Computability.FiniteArithmetic
open Filter RapidForcing.EffectiveProfile RapidForcing.EffectiveArithmetic
open PeriodicLattice.CertifiedReal
open scoped Topology
local instance arithmeticEnclosuresRatPrimcodable : Primcodable ℚ := PeriodicLattice.RecursiveArithmetic.ratPrimcodable
@[fun_prop] theorem rat_max_computable : Computable (fun p : ℚ × ℚ => max p.1 p.2) := by
simpa only [max_def] using
(show Computable (fun p : ℚ × ℚ => if p.1 ≤ p.2 then p.2 else p.1) by fun_prop)
private theorem exp_effective : Effective (fun q : ℚ => Real.exp (q : ℝ)) :=
(rational (Computable.id : Computable (id : ℚ → ℚ))).exp
private theorem log_effective : Effective (fun q : ℚ => Real.log (max 1 (q : ℝ))) := by
have he : Effective (fun q : ℚ => ((max 1 q : ℚ) : ℝ)) :=
rational (show Computable (fun q : ℚ => max 1 q) by fun_prop)
simpa only [Rat.cast_max, Rat.cast_one] using he.log
(fun q => lt_of_lt_of_le (by norm_num : (0 : ℝ) < 1) (by exact_mod_cast le_max_left (1 : ℚ) q))
noncomputable def expApprox : ℚ × ℕ → ℚ := Classical.choose exp_effective
noncomputable def logApprox : ℚ × ℕ → ℚ := Classical.choose log_effective
@[fun_prop] theorem expApprox_computable : Computable expApprox := (Classical.choose_spec exp_effective).1
@[fun_prop] theorem logApprox_computable : Computable logApprox := (Classical.choose_spec log_effective).1
theorem expApprox_error (q : ℚ) (n : ℕ) :
|Real.exp (q : ℝ) - (expApprox (q,n) : ℝ)| ≤ error n :=
(Classical.choose_spec exp_effective).2 q n
theorem logApprox_error (q : ℚ) (n : ℕ) :
|Real.log (max 1 (q : ℝ)) - (logApprox (q,n) : ℝ)| ≤ error n :=
(Classical.choose_spec log_effective).2 q n
noncomputable def interval (l u : ℚ) : Ball := ⟨(l+u)/2, (u-l)/2⟩
@[fun_prop] theorem interval_computable : Computable (fun p : ℚ × ℚ => interval p.1 p.2) := by
unfold interval
fun_prop
theorem interval_covers {l u : ℚ} {x : ℝ} (hl : (l : ℝ) ≤ x) (hu : x ≤ (u : ℝ)) :
(interval l u).Covers x := by
unfold interval Ball.Covers
push_cast
exact abs_le.mpr ⟨by linarith, by linarith⟩
theorem interval_encloses {l u : ℕ → ℚ} {x : ℝ}
(hl : ∀ n, (l n : ℝ) ≤ x) (hu : ∀ n, x ≤ (u n : ℝ))
(htl : Tendsto (fun n => (l n : ℝ)) atTop (nhds x))
(htu : Tendsto (fun n => (u n : ℝ)) atTop (nhds x)) :
Encloses (fun n => interval (l n) (u n)) x := by
refine ⟨fun n => interval_covers (hl n) (hu n), ?_⟩
simpa only [interval, Rat.cast_div, Rat.cast_sub, Rat.cast_ofNat, sub_self, zero_div]
using (htu.sub htl).div_const 2
theorem approximate_tendsto {f : ℚ → ℝ} {a : ℚ × ℕ → ℚ}
(ha : ∀ q n, |f q - (a (q,n) : ℝ)| ≤ error n)
{q : ℕ → ℚ} {x : ℝ} (hq : Tendsto (fun n => f (q n)) atTop (nhds x)) :
Tendsto (fun n => (a (q n,n) : ℝ)) atTop (nhds x) := by
have hz : Tendsto (fun n => (a (q n,n) : ℝ)-f (q n)) atTop (nhds 0) := by
apply squeeze_zero_norm (fun n => ?_) error_tendsto
simpa only [Real.norm_eq_abs, abs_sub_comm] using ha (q n) n
simpa only [sub_add_cancel, zero_add] using hz.add hq
noncomputable def expBall (b : Ball) (n : ℕ) : Ball :=
interval (expApprox (b.center-b.radius,n)-qerror n)
(expApprox (b.center+b.radius,n)+qerror n)
noncomputable def logBall (b : Ball) (n : ℕ) : Ball :=
interval (logApprox (b.center-b.radius,n)-qerror n)
(logApprox (b.center+b.radius,n)+qerror n)
@[fun_prop] theorem expBall_computable : Computable (fun p : Ball × ℕ => expBall p.1 p.2) := by
unfold expBall
fun_prop
@[fun_prop] theorem logBall_computable : Computable (fun p : Ball × ℕ => logBall p.1 p.2) := by
unfold logBall
fun_prop
theorem expBall_covers {b : Ball} {x : ℝ} (hb : b.Covers x) (n : ℕ) :
(expBall b n).Covers (Real.exp x) := by
have he := abs_le.mp hb
have hl := (abs_le.mp (expApprox_error (b.center-b.radius) n)).1
have hu := (abs_le.mp (expApprox_error (b.center+b.radius) n)).2
apply interval_covers
· push_cast
have := Real.exp_le_exp.mpr (show (b.center : ℝ)-b.radius ≤ x by linarith)
simp only [Rat.cast_sub, cast_qerror] at hl ⊢
linarith
· push_cast
have := Real.exp_le_exp.mpr (show x ≤ (b.center : ℝ)+b.radius by linarith)
simp only [Rat.cast_add, cast_qerror] at hu ⊢
linarith
theorem logBall_covers {b : Ball} {x : ℝ} (hb : b.Covers x) (n : ℕ) :
(logBall b n).Covers (Real.log (max 1 x)) := by
have he := abs_le.mp hb
have hl := (abs_le.mp (logApprox_error (b.center-b.radius) n)).1
have hu := (abs_le.mp (logApprox_error (b.center+b.radius) n)).2
have hp (y : ℝ) : 0 < max 1 y := lt_of_lt_of_le (by norm_num) (le_max_left _ _)
apply interval_covers
· push_cast
have := Real.log_le_log (hp ((b.center : ℝ)-b.radius))
(max_le_max_left 1 (show (b.center : ℝ)-b.radius ≤ x by linarith))
simp only [Rat.cast_sub, cast_qerror] at hl ⊢
linarith
· push_cast
have := Real.log_le_log (hp x)
(max_le_max_left 1 (show x ≤ (b.center : ℝ)+b.radius by linarith))
simp only [Rat.cast_add, cast_qerror] at hu ⊢
linarith
theorem Encloses.exp {b : ℕ → Ball} {x : ℝ} (hb : Encloses b x) :
Encloses (fun n => expBall (b n) n) (Real.exp x) := by
have hbl : Tendsto (fun n => (((b n).center-(b n).radius : ℚ) : ℝ)) atTop (nhds x) := by
simpa only [Rat.cast_sub, sub_zero] using hb.centers.sub hb.2
have hbu : Tendsto (fun n => (((b n).center+(b n).radius : ℚ) : ℝ)) atTop (nhds x) := by
simpa only [Rat.cast_add, add_zero] using hb.centers.add hb.2
have hl := approximate_tendsto expApprox_error
(q := fun n => (b n).center-(b n).radius) (Real.continuous_exp.tendsto x |>.comp hbl)
have hu := approximate_tendsto expApprox_error
(q := fun n => (b n).center+(b n).radius) (Real.continuous_exp.tendsto x |>.comp hbu)
refine ⟨fun n => expBall_covers (hb.1 n) n, ?_⟩
have hlim := ((hu.add error_tendsto).sub (hl.sub error_tendsto)).div_const 2
simpa only [expBall, interval, Rat.cast_div, Rat.cast_sub, Rat.cast_add,
Rat.cast_ofNat, cast_qerror, add_zero, sub_zero, sub_self, zero_div] using hlim
theorem Encloses.log {b : ℕ → Ball} {x : ℝ} (hb : Encloses b x) :
Encloses (fun n => logBall (b n) n) (Real.log (max 1 x)) := by
have hp : max (1 : ℝ) x ≠ 0 := ne_of_gt (lt_of_lt_of_le (by norm_num) (le_max_left _ _))
have hbl : Tendsto (fun n => (((b n).center-(b n).radius : ℚ) : ℝ)) atTop (nhds x) := by
simpa only [Rat.cast_sub, sub_zero] using hb.centers.sub hb.2
have hbu : Tendsto (fun n => (((b n).center+(b n).radius : ℚ) : ℝ)) atTop (nhds x) := by
simpa only [Rat.cast_add, add_zero] using hb.centers.add hb.2
have hl := approximate_tendsto logApprox_error
(q := fun n => (b n).center-(b n).radius) ((tendsto_const_nhds.max hbl).log hp)
have hu := approximate_tendsto logApprox_error
(q := fun n => (b n).center+(b n).radius) ((tendsto_const_nhds.max hbu).log hp)
refine ⟨fun n => logBall_covers (hb.1 n) n, ?_⟩
have hlim := ((hu.add error_tendsto).sub (hl.sub error_tendsto)).div_const 2
simpa only [logBall, interval, Rat.cast_div, Rat.cast_sub, Rat.cast_add,
Rat.cast_ofNat, cast_qerror, add_zero, sub_zero, sub_self, zero_div] using hlim
end FixedClauseThreshold.Computability.FiniteArithmetic
end OAI