Context stringlengths 57 6.04k | file_name stringlengths 21 79 | start int64 14 1.49k | end int64 18 1.5k | theorem stringlengths 25 1.55k | proof stringlengths 5 7.36k | num_lines int64 1 150 | complexity_score float64 2.72 139,370,958,066,637,970,000,000,000,000,000,000,000,000,000,000,000,000,000B | diff_level int64 0 2 | file_diff_level float64 0 2 | theorem_same_file int64 1 32 | rank_file int64 0 2.51k |
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import Mathlib.Analysis.SpecialFunctions.JapaneseBracket
import Mathlib.Analysis.SpecialFunctions.Integrals
import Mathlib.MeasureTheory.Group.Integral
import Mathlib.MeasureTheory.Integral.IntegralEqImproper
import Mathlib.MeasureTheory.Measure.Lebesgue.Integral
#align_import analysis.special_functions.improper_integrals from "leanprover-community/mathlib"@"fd5edc43dc4f10b85abfe544b88f82cf13c5f844"
open Real Set Filter MeasureTheory intervalIntegral
open scoped Topology
theorem integrableOn_exp_Iic (c : ℝ) : IntegrableOn exp (Iic c) := by
refine
integrableOn_Iic_of_intervalIntegral_norm_bounded (exp c) c
(fun y => intervalIntegrable_exp.1) tendsto_id
(eventually_of_mem (Iic_mem_atBot 0) fun y _ => ?_)
simp_rw [norm_of_nonneg (exp_pos _).le, integral_exp, sub_le_self_iff]
exact (exp_pos _).le
#align integrable_on_exp_Iic integrableOn_exp_Iic
theorem integral_exp_Iic (c : ℝ) : ∫ x : ℝ in Iic c, exp x = exp c := by
refine
tendsto_nhds_unique
(intervalIntegral_tendsto_integral_Iic _ (integrableOn_exp_Iic _) tendsto_id) ?_
simp_rw [integral_exp, show 𝓝 (exp c) = 𝓝 (exp c - 0) by rw [sub_zero]]
exact tendsto_exp_atBot.const_sub _
#align integral_exp_Iic integral_exp_Iic
theorem integral_exp_Iic_zero : ∫ x : ℝ in Iic 0, exp x = 1 :=
exp_zero ▸ integral_exp_Iic 0
#align integral_exp_Iic_zero integral_exp_Iic_zero
| Mathlib/Analysis/SpecialFunctions/ImproperIntegrals.lean | 53 | 54 | theorem integral_exp_neg_Ioi (c : ℝ) : (∫ x : ℝ in Ioi c, exp (-x)) = exp (-c) := by |
simpa only [integral_comp_neg_Ioi] using integral_exp_Iic (-c)
| 1 | 2.718282 | 0 | 1.5 | 8 | 1,667 |
import Mathlib.Analysis.SpecialFunctions.JapaneseBracket
import Mathlib.Analysis.SpecialFunctions.Integrals
import Mathlib.MeasureTheory.Group.Integral
import Mathlib.MeasureTheory.Integral.IntegralEqImproper
import Mathlib.MeasureTheory.Measure.Lebesgue.Integral
#align_import analysis.special_functions.improper_integrals from "leanprover-community/mathlib"@"fd5edc43dc4f10b85abfe544b88f82cf13c5f844"
open Real Set Filter MeasureTheory intervalIntegral
open scoped Topology
theorem integrableOn_exp_Iic (c : ℝ) : IntegrableOn exp (Iic c) := by
refine
integrableOn_Iic_of_intervalIntegral_norm_bounded (exp c) c
(fun y => intervalIntegrable_exp.1) tendsto_id
(eventually_of_mem (Iic_mem_atBot 0) fun y _ => ?_)
simp_rw [norm_of_nonneg (exp_pos _).le, integral_exp, sub_le_self_iff]
exact (exp_pos _).le
#align integrable_on_exp_Iic integrableOn_exp_Iic
theorem integral_exp_Iic (c : ℝ) : ∫ x : ℝ in Iic c, exp x = exp c := by
refine
tendsto_nhds_unique
(intervalIntegral_tendsto_integral_Iic _ (integrableOn_exp_Iic _) tendsto_id) ?_
simp_rw [integral_exp, show 𝓝 (exp c) = 𝓝 (exp c - 0) by rw [sub_zero]]
exact tendsto_exp_atBot.const_sub _
#align integral_exp_Iic integral_exp_Iic
theorem integral_exp_Iic_zero : ∫ x : ℝ in Iic 0, exp x = 1 :=
exp_zero ▸ integral_exp_Iic 0
#align integral_exp_Iic_zero integral_exp_Iic_zero
theorem integral_exp_neg_Ioi (c : ℝ) : (∫ x : ℝ in Ioi c, exp (-x)) = exp (-c) := by
simpa only [integral_comp_neg_Ioi] using integral_exp_Iic (-c)
#align integral_exp_neg_Ioi integral_exp_neg_Ioi
| Mathlib/Analysis/SpecialFunctions/ImproperIntegrals.lean | 57 | 58 | theorem integral_exp_neg_Ioi_zero : (∫ x : ℝ in Ioi 0, exp (-x)) = 1 := by |
simpa only [neg_zero, exp_zero] using integral_exp_neg_Ioi 0
| 1 | 2.718282 | 0 | 1.5 | 8 | 1,667 |
import Mathlib.Analysis.SpecialFunctions.JapaneseBracket
import Mathlib.Analysis.SpecialFunctions.Integrals
import Mathlib.MeasureTheory.Group.Integral
import Mathlib.MeasureTheory.Integral.IntegralEqImproper
import Mathlib.MeasureTheory.Measure.Lebesgue.Integral
#align_import analysis.special_functions.improper_integrals from "leanprover-community/mathlib"@"fd5edc43dc4f10b85abfe544b88f82cf13c5f844"
open Real Set Filter MeasureTheory intervalIntegral
open scoped Topology
theorem integrableOn_exp_Iic (c : ℝ) : IntegrableOn exp (Iic c) := by
refine
integrableOn_Iic_of_intervalIntegral_norm_bounded (exp c) c
(fun y => intervalIntegrable_exp.1) tendsto_id
(eventually_of_mem (Iic_mem_atBot 0) fun y _ => ?_)
simp_rw [norm_of_nonneg (exp_pos _).le, integral_exp, sub_le_self_iff]
exact (exp_pos _).le
#align integrable_on_exp_Iic integrableOn_exp_Iic
theorem integral_exp_Iic (c : ℝ) : ∫ x : ℝ in Iic c, exp x = exp c := by
refine
tendsto_nhds_unique
(intervalIntegral_tendsto_integral_Iic _ (integrableOn_exp_Iic _) tendsto_id) ?_
simp_rw [integral_exp, show 𝓝 (exp c) = 𝓝 (exp c - 0) by rw [sub_zero]]
exact tendsto_exp_atBot.const_sub _
#align integral_exp_Iic integral_exp_Iic
theorem integral_exp_Iic_zero : ∫ x : ℝ in Iic 0, exp x = 1 :=
exp_zero ▸ integral_exp_Iic 0
#align integral_exp_Iic_zero integral_exp_Iic_zero
theorem integral_exp_neg_Ioi (c : ℝ) : (∫ x : ℝ in Ioi c, exp (-x)) = exp (-c) := by
simpa only [integral_comp_neg_Ioi] using integral_exp_Iic (-c)
#align integral_exp_neg_Ioi integral_exp_neg_Ioi
theorem integral_exp_neg_Ioi_zero : (∫ x : ℝ in Ioi 0, exp (-x)) = 1 := by
simpa only [neg_zero, exp_zero] using integral_exp_neg_Ioi 0
#align integral_exp_neg_Ioi_zero integral_exp_neg_Ioi_zero
| Mathlib/Analysis/SpecialFunctions/ImproperIntegrals.lean | 62 | 73 | theorem integrableOn_Ioi_rpow_of_lt {a : ℝ} (ha : a < -1) {c : ℝ} (hc : 0 < c) :
IntegrableOn (fun t : ℝ => t ^ a) (Ioi c) := by |
have hd : ∀ x ∈ Ici c, HasDerivAt (fun t => t ^ (a + 1) / (a + 1)) (x ^ a) x := by
intro x hx
-- Porting note: helped `convert` with explicit arguments
convert (hasDerivAt_rpow_const (p := a + 1) (Or.inl (hc.trans_le hx).ne')).div_const _ using 1
field_simp [show a + 1 ≠ 0 from ne_of_lt (by linarith), mul_comm]
have ht : Tendsto (fun t => t ^ (a + 1) / (a + 1)) atTop (𝓝 (0 / (a + 1))) := by
apply Tendsto.div_const
simpa only [neg_neg] using tendsto_rpow_neg_atTop (by linarith : 0 < -(a + 1))
exact
integrableOn_Ioi_deriv_of_nonneg' hd (fun t ht => rpow_nonneg (hc.trans ht).le a) ht
| 10 | 22,026.465795 | 2 | 1.5 | 8 | 1,667 |
import Mathlib.Analysis.SpecialFunctions.JapaneseBracket
import Mathlib.Analysis.SpecialFunctions.Integrals
import Mathlib.MeasureTheory.Group.Integral
import Mathlib.MeasureTheory.Integral.IntegralEqImproper
import Mathlib.MeasureTheory.Measure.Lebesgue.Integral
#align_import analysis.special_functions.improper_integrals from "leanprover-community/mathlib"@"fd5edc43dc4f10b85abfe544b88f82cf13c5f844"
open Real Set Filter MeasureTheory intervalIntegral
open scoped Topology
theorem integrableOn_exp_Iic (c : ℝ) : IntegrableOn exp (Iic c) := by
refine
integrableOn_Iic_of_intervalIntegral_norm_bounded (exp c) c
(fun y => intervalIntegrable_exp.1) tendsto_id
(eventually_of_mem (Iic_mem_atBot 0) fun y _ => ?_)
simp_rw [norm_of_nonneg (exp_pos _).le, integral_exp, sub_le_self_iff]
exact (exp_pos _).le
#align integrable_on_exp_Iic integrableOn_exp_Iic
theorem integral_exp_Iic (c : ℝ) : ∫ x : ℝ in Iic c, exp x = exp c := by
refine
tendsto_nhds_unique
(intervalIntegral_tendsto_integral_Iic _ (integrableOn_exp_Iic _) tendsto_id) ?_
simp_rw [integral_exp, show 𝓝 (exp c) = 𝓝 (exp c - 0) by rw [sub_zero]]
exact tendsto_exp_atBot.const_sub _
#align integral_exp_Iic integral_exp_Iic
theorem integral_exp_Iic_zero : ∫ x : ℝ in Iic 0, exp x = 1 :=
exp_zero ▸ integral_exp_Iic 0
#align integral_exp_Iic_zero integral_exp_Iic_zero
theorem integral_exp_neg_Ioi (c : ℝ) : (∫ x : ℝ in Ioi c, exp (-x)) = exp (-c) := by
simpa only [integral_comp_neg_Ioi] using integral_exp_Iic (-c)
#align integral_exp_neg_Ioi integral_exp_neg_Ioi
theorem integral_exp_neg_Ioi_zero : (∫ x : ℝ in Ioi 0, exp (-x)) = 1 := by
simpa only [neg_zero, exp_zero] using integral_exp_neg_Ioi 0
#align integral_exp_neg_Ioi_zero integral_exp_neg_Ioi_zero
theorem integrableOn_Ioi_rpow_of_lt {a : ℝ} (ha : a < -1) {c : ℝ} (hc : 0 < c) :
IntegrableOn (fun t : ℝ => t ^ a) (Ioi c) := by
have hd : ∀ x ∈ Ici c, HasDerivAt (fun t => t ^ (a + 1) / (a + 1)) (x ^ a) x := by
intro x hx
-- Porting note: helped `convert` with explicit arguments
convert (hasDerivAt_rpow_const (p := a + 1) (Or.inl (hc.trans_le hx).ne')).div_const _ using 1
field_simp [show a + 1 ≠ 0 from ne_of_lt (by linarith), mul_comm]
have ht : Tendsto (fun t => t ^ (a + 1) / (a + 1)) atTop (𝓝 (0 / (a + 1))) := by
apply Tendsto.div_const
simpa only [neg_neg] using tendsto_rpow_neg_atTop (by linarith : 0 < -(a + 1))
exact
integrableOn_Ioi_deriv_of_nonneg' hd (fun t ht => rpow_nonneg (hc.trans ht).le a) ht
#align integrable_on_Ioi_rpow_of_lt integrableOn_Ioi_rpow_of_lt
| Mathlib/Analysis/SpecialFunctions/ImproperIntegrals.lean | 76 | 90 | theorem integrableOn_Ioi_rpow_iff {s t : ℝ} (ht : 0 < t) :
IntegrableOn (fun x ↦ x ^ s) (Ioi t) ↔ s < -1 := by |
refine ⟨fun h ↦ ?_, fun h ↦ integrableOn_Ioi_rpow_of_lt h ht⟩
contrapose! h
intro H
have H' : IntegrableOn (fun x ↦ x ^ s) (Ioi (max 1 t)) :=
H.mono (Set.Ioi_subset_Ioi (le_max_right _ _)) le_rfl
have : IntegrableOn (fun x ↦ x⁻¹) (Ioi (max 1 t)) := by
apply H'.mono' measurable_inv.aestronglyMeasurable
filter_upwards [ae_restrict_mem measurableSet_Ioi] with x hx
have x_one : 1 ≤ x := ((le_max_left _ _).trans_lt (mem_Ioi.1 hx)).le
simp only [norm_inv, Real.norm_eq_abs, abs_of_nonneg (zero_le_one.trans x_one)]
rw [← Real.rpow_neg_one x]
exact Real.rpow_le_rpow_of_exponent_le x_one h
exact not_IntegrableOn_Ioi_inv this
| 13 | 442,413.392009 | 2 | 1.5 | 8 | 1,667 |
import Mathlib.Analysis.SpecialFunctions.JapaneseBracket
import Mathlib.Analysis.SpecialFunctions.Integrals
import Mathlib.MeasureTheory.Group.Integral
import Mathlib.MeasureTheory.Integral.IntegralEqImproper
import Mathlib.MeasureTheory.Measure.Lebesgue.Integral
#align_import analysis.special_functions.improper_integrals from "leanprover-community/mathlib"@"fd5edc43dc4f10b85abfe544b88f82cf13c5f844"
open Real Set Filter MeasureTheory intervalIntegral
open scoped Topology
theorem integrableOn_exp_Iic (c : ℝ) : IntegrableOn exp (Iic c) := by
refine
integrableOn_Iic_of_intervalIntegral_norm_bounded (exp c) c
(fun y => intervalIntegrable_exp.1) tendsto_id
(eventually_of_mem (Iic_mem_atBot 0) fun y _ => ?_)
simp_rw [norm_of_nonneg (exp_pos _).le, integral_exp, sub_le_self_iff]
exact (exp_pos _).le
#align integrable_on_exp_Iic integrableOn_exp_Iic
theorem integral_exp_Iic (c : ℝ) : ∫ x : ℝ in Iic c, exp x = exp c := by
refine
tendsto_nhds_unique
(intervalIntegral_tendsto_integral_Iic _ (integrableOn_exp_Iic _) tendsto_id) ?_
simp_rw [integral_exp, show 𝓝 (exp c) = 𝓝 (exp c - 0) by rw [sub_zero]]
exact tendsto_exp_atBot.const_sub _
#align integral_exp_Iic integral_exp_Iic
theorem integral_exp_Iic_zero : ∫ x : ℝ in Iic 0, exp x = 1 :=
exp_zero ▸ integral_exp_Iic 0
#align integral_exp_Iic_zero integral_exp_Iic_zero
theorem integral_exp_neg_Ioi (c : ℝ) : (∫ x : ℝ in Ioi c, exp (-x)) = exp (-c) := by
simpa only [integral_comp_neg_Ioi] using integral_exp_Iic (-c)
#align integral_exp_neg_Ioi integral_exp_neg_Ioi
theorem integral_exp_neg_Ioi_zero : (∫ x : ℝ in Ioi 0, exp (-x)) = 1 := by
simpa only [neg_zero, exp_zero] using integral_exp_neg_Ioi 0
#align integral_exp_neg_Ioi_zero integral_exp_neg_Ioi_zero
theorem integrableOn_Ioi_rpow_of_lt {a : ℝ} (ha : a < -1) {c : ℝ} (hc : 0 < c) :
IntegrableOn (fun t : ℝ => t ^ a) (Ioi c) := by
have hd : ∀ x ∈ Ici c, HasDerivAt (fun t => t ^ (a + 1) / (a + 1)) (x ^ a) x := by
intro x hx
-- Porting note: helped `convert` with explicit arguments
convert (hasDerivAt_rpow_const (p := a + 1) (Or.inl (hc.trans_le hx).ne')).div_const _ using 1
field_simp [show a + 1 ≠ 0 from ne_of_lt (by linarith), mul_comm]
have ht : Tendsto (fun t => t ^ (a + 1) / (a + 1)) atTop (𝓝 (0 / (a + 1))) := by
apply Tendsto.div_const
simpa only [neg_neg] using tendsto_rpow_neg_atTop (by linarith : 0 < -(a + 1))
exact
integrableOn_Ioi_deriv_of_nonneg' hd (fun t ht => rpow_nonneg (hc.trans ht).le a) ht
#align integrable_on_Ioi_rpow_of_lt integrableOn_Ioi_rpow_of_lt
theorem integrableOn_Ioi_rpow_iff {s t : ℝ} (ht : 0 < t) :
IntegrableOn (fun x ↦ x ^ s) (Ioi t) ↔ s < -1 := by
refine ⟨fun h ↦ ?_, fun h ↦ integrableOn_Ioi_rpow_of_lt h ht⟩
contrapose! h
intro H
have H' : IntegrableOn (fun x ↦ x ^ s) (Ioi (max 1 t)) :=
H.mono (Set.Ioi_subset_Ioi (le_max_right _ _)) le_rfl
have : IntegrableOn (fun x ↦ x⁻¹) (Ioi (max 1 t)) := by
apply H'.mono' measurable_inv.aestronglyMeasurable
filter_upwards [ae_restrict_mem measurableSet_Ioi] with x hx
have x_one : 1 ≤ x := ((le_max_left _ _).trans_lt (mem_Ioi.1 hx)).le
simp only [norm_inv, Real.norm_eq_abs, abs_of_nonneg (zero_le_one.trans x_one)]
rw [← Real.rpow_neg_one x]
exact Real.rpow_le_rpow_of_exponent_le x_one h
exact not_IntegrableOn_Ioi_inv this
| Mathlib/Analysis/SpecialFunctions/ImproperIntegrals.lean | 93 | 101 | theorem not_integrableOn_Ioi_rpow (s : ℝ) : ¬ IntegrableOn (fun x ↦ x ^ s) (Ioi (0 : ℝ)) := by |
intro h
rcases le_or_lt s (-1) with hs|hs
· have : IntegrableOn (fun x ↦ x ^ s) (Ioo (0 : ℝ) 1) := h.mono Ioo_subset_Ioi_self le_rfl
rw [integrableOn_Ioo_rpow_iff zero_lt_one] at this
exact hs.not_lt this
· have : IntegrableOn (fun x ↦ x ^ s) (Ioi (1 : ℝ)) := h.mono (Ioi_subset_Ioi zero_le_one) le_rfl
rw [integrableOn_Ioi_rpow_iff zero_lt_one] at this
exact hs.not_lt this
| 8 | 2,980.957987 | 2 | 1.5 | 8 | 1,667 |
import Mathlib.Analysis.SpecialFunctions.JapaneseBracket
import Mathlib.Analysis.SpecialFunctions.Integrals
import Mathlib.MeasureTheory.Group.Integral
import Mathlib.MeasureTheory.Integral.IntegralEqImproper
import Mathlib.MeasureTheory.Measure.Lebesgue.Integral
#align_import analysis.special_functions.improper_integrals from "leanprover-community/mathlib"@"fd5edc43dc4f10b85abfe544b88f82cf13c5f844"
open Real Set Filter MeasureTheory intervalIntegral
open scoped Topology
theorem integrableOn_exp_Iic (c : ℝ) : IntegrableOn exp (Iic c) := by
refine
integrableOn_Iic_of_intervalIntegral_norm_bounded (exp c) c
(fun y => intervalIntegrable_exp.1) tendsto_id
(eventually_of_mem (Iic_mem_atBot 0) fun y _ => ?_)
simp_rw [norm_of_nonneg (exp_pos _).le, integral_exp, sub_le_self_iff]
exact (exp_pos _).le
#align integrable_on_exp_Iic integrableOn_exp_Iic
theorem integral_exp_Iic (c : ℝ) : ∫ x : ℝ in Iic c, exp x = exp c := by
refine
tendsto_nhds_unique
(intervalIntegral_tendsto_integral_Iic _ (integrableOn_exp_Iic _) tendsto_id) ?_
simp_rw [integral_exp, show 𝓝 (exp c) = 𝓝 (exp c - 0) by rw [sub_zero]]
exact tendsto_exp_atBot.const_sub _
#align integral_exp_Iic integral_exp_Iic
theorem integral_exp_Iic_zero : ∫ x : ℝ in Iic 0, exp x = 1 :=
exp_zero ▸ integral_exp_Iic 0
#align integral_exp_Iic_zero integral_exp_Iic_zero
theorem integral_exp_neg_Ioi (c : ℝ) : (∫ x : ℝ in Ioi c, exp (-x)) = exp (-c) := by
simpa only [integral_comp_neg_Ioi] using integral_exp_Iic (-c)
#align integral_exp_neg_Ioi integral_exp_neg_Ioi
theorem integral_exp_neg_Ioi_zero : (∫ x : ℝ in Ioi 0, exp (-x)) = 1 := by
simpa only [neg_zero, exp_zero] using integral_exp_neg_Ioi 0
#align integral_exp_neg_Ioi_zero integral_exp_neg_Ioi_zero
theorem integrableOn_Ioi_rpow_of_lt {a : ℝ} (ha : a < -1) {c : ℝ} (hc : 0 < c) :
IntegrableOn (fun t : ℝ => t ^ a) (Ioi c) := by
have hd : ∀ x ∈ Ici c, HasDerivAt (fun t => t ^ (a + 1) / (a + 1)) (x ^ a) x := by
intro x hx
-- Porting note: helped `convert` with explicit arguments
convert (hasDerivAt_rpow_const (p := a + 1) (Or.inl (hc.trans_le hx).ne')).div_const _ using 1
field_simp [show a + 1 ≠ 0 from ne_of_lt (by linarith), mul_comm]
have ht : Tendsto (fun t => t ^ (a + 1) / (a + 1)) atTop (𝓝 (0 / (a + 1))) := by
apply Tendsto.div_const
simpa only [neg_neg] using tendsto_rpow_neg_atTop (by linarith : 0 < -(a + 1))
exact
integrableOn_Ioi_deriv_of_nonneg' hd (fun t ht => rpow_nonneg (hc.trans ht).le a) ht
#align integrable_on_Ioi_rpow_of_lt integrableOn_Ioi_rpow_of_lt
theorem integrableOn_Ioi_rpow_iff {s t : ℝ} (ht : 0 < t) :
IntegrableOn (fun x ↦ x ^ s) (Ioi t) ↔ s < -1 := by
refine ⟨fun h ↦ ?_, fun h ↦ integrableOn_Ioi_rpow_of_lt h ht⟩
contrapose! h
intro H
have H' : IntegrableOn (fun x ↦ x ^ s) (Ioi (max 1 t)) :=
H.mono (Set.Ioi_subset_Ioi (le_max_right _ _)) le_rfl
have : IntegrableOn (fun x ↦ x⁻¹) (Ioi (max 1 t)) := by
apply H'.mono' measurable_inv.aestronglyMeasurable
filter_upwards [ae_restrict_mem measurableSet_Ioi] with x hx
have x_one : 1 ≤ x := ((le_max_left _ _).trans_lt (mem_Ioi.1 hx)).le
simp only [norm_inv, Real.norm_eq_abs, abs_of_nonneg (zero_le_one.trans x_one)]
rw [← Real.rpow_neg_one x]
exact Real.rpow_le_rpow_of_exponent_le x_one h
exact not_IntegrableOn_Ioi_inv this
theorem not_integrableOn_Ioi_rpow (s : ℝ) : ¬ IntegrableOn (fun x ↦ x ^ s) (Ioi (0 : ℝ)) := by
intro h
rcases le_or_lt s (-1) with hs|hs
· have : IntegrableOn (fun x ↦ x ^ s) (Ioo (0 : ℝ) 1) := h.mono Ioo_subset_Ioi_self le_rfl
rw [integrableOn_Ioo_rpow_iff zero_lt_one] at this
exact hs.not_lt this
· have : IntegrableOn (fun x ↦ x ^ s) (Ioi (1 : ℝ)) := h.mono (Ioi_subset_Ioi zero_le_one) le_rfl
rw [integrableOn_Ioi_rpow_iff zero_lt_one] at this
exact hs.not_lt this
theorem setIntegral_Ioi_zero_rpow (s : ℝ) : ∫ x in Ioi (0 : ℝ), x ^ s = 0 :=
MeasureTheory.integral_undef (not_integrableOn_Ioi_rpow s)
| Mathlib/Analysis/SpecialFunctions/ImproperIntegrals.lean | 106 | 116 | theorem integral_Ioi_rpow_of_lt {a : ℝ} (ha : a < -1) {c : ℝ} (hc : 0 < c) :
∫ t : ℝ in Ioi c, t ^ a = -c ^ (a + 1) / (a + 1) := by |
have hd : ∀ x ∈ Ici c, HasDerivAt (fun t => t ^ (a + 1) / (a + 1)) (x ^ a) x := by
intro x hx
convert (hasDerivAt_rpow_const (p := a + 1) (Or.inl (hc.trans_le hx).ne')).div_const _ using 1
field_simp [show a + 1 ≠ 0 from ne_of_lt (by linarith), mul_comm]
have ht : Tendsto (fun t => t ^ (a + 1) / (a + 1)) atTop (𝓝 (0 / (a + 1))) := by
apply Tendsto.div_const
simpa only [neg_neg] using tendsto_rpow_neg_atTop (by linarith : 0 < -(a + 1))
convert integral_Ioi_of_hasDerivAt_of_tendsto' hd (integrableOn_Ioi_rpow_of_lt ha hc) ht using 1
simp only [neg_div, zero_div, zero_sub]
| 9 | 8,103.083928 | 2 | 1.5 | 8 | 1,667 |
import Mathlib.Algebra.Order.Ring.Int
#align_import data.int.least_greatest from "leanprover-community/mathlib"@"3342d1b2178381196f818146ff79bc0e7ccd9e2d"
namespace Int
def leastOfBdd {P : ℤ → Prop} [DecidablePred P] (b : ℤ) (Hb : ∀ z : ℤ, P z → b ≤ z)
(Hinh : ∃ z : ℤ, P z) : { lb : ℤ // P lb ∧ ∀ z : ℤ, P z → lb ≤ z } :=
have EX : ∃ n : ℕ, P (b + n) :=
let ⟨elt, Helt⟩ := Hinh
match elt, le.dest (Hb _ Helt), Helt with
| _, ⟨n, rfl⟩, Hn => ⟨n, Hn⟩
⟨b + (Nat.find EX : ℤ), Nat.find_spec EX, fun z h =>
match z, le.dest (Hb _ h), h with
| _, ⟨_, rfl⟩, h => add_le_add_left (Int.ofNat_le.2 <| Nat.find_min' _ h) _⟩
#align int.least_of_bdd Int.leastOfBdd
| Mathlib/Data/Int/LeastGreatest.lean | 61 | 68 | theorem exists_least_of_bdd
{P : ℤ → Prop}
(Hbdd : ∃ b : ℤ , ∀ z : ℤ , P z → b ≤ z)
(Hinh : ∃ z : ℤ , P z) : ∃ lb : ℤ , P lb ∧ ∀ z : ℤ , P z → lb ≤ z := by |
classical
let ⟨b , Hb⟩ := Hbdd
let ⟨lb , H⟩ := leastOfBdd b Hb Hinh
exact ⟨lb , H⟩
| 4 | 54.59815 | 2 | 1.5 | 4 | 1,668 |
import Mathlib.Algebra.Order.Ring.Int
#align_import data.int.least_greatest from "leanprover-community/mathlib"@"3342d1b2178381196f818146ff79bc0e7ccd9e2d"
namespace Int
def leastOfBdd {P : ℤ → Prop} [DecidablePred P] (b : ℤ) (Hb : ∀ z : ℤ, P z → b ≤ z)
(Hinh : ∃ z : ℤ, P z) : { lb : ℤ // P lb ∧ ∀ z : ℤ, P z → lb ≤ z } :=
have EX : ∃ n : ℕ, P (b + n) :=
let ⟨elt, Helt⟩ := Hinh
match elt, le.dest (Hb _ Helt), Helt with
| _, ⟨n, rfl⟩, Hn => ⟨n, Hn⟩
⟨b + (Nat.find EX : ℤ), Nat.find_spec EX, fun z h =>
match z, le.dest (Hb _ h), h with
| _, ⟨_, rfl⟩, h => add_le_add_left (Int.ofNat_le.2 <| Nat.find_min' _ h) _⟩
#align int.least_of_bdd Int.leastOfBdd
theorem exists_least_of_bdd
{P : ℤ → Prop}
(Hbdd : ∃ b : ℤ , ∀ z : ℤ , P z → b ≤ z)
(Hinh : ∃ z : ℤ , P z) : ∃ lb : ℤ , P lb ∧ ∀ z : ℤ , P z → lb ≤ z := by
classical
let ⟨b , Hb⟩ := Hbdd
let ⟨lb , H⟩ := leastOfBdd b Hb Hinh
exact ⟨lb , H⟩
#align int.exists_least_of_bdd Int.exists_least_of_bdd
| Mathlib/Data/Int/LeastGreatest.lean | 71 | 76 | theorem coe_leastOfBdd_eq {P : ℤ → Prop} [DecidablePred P] {b b' : ℤ} (Hb : ∀ z : ℤ, P z → b ≤ z)
(Hb' : ∀ z : ℤ, P z → b' ≤ z) (Hinh : ∃ z : ℤ, P z) :
(leastOfBdd b Hb Hinh : ℤ) = leastOfBdd b' Hb' Hinh := by |
rcases leastOfBdd b Hb Hinh with ⟨n, hn, h2n⟩
rcases leastOfBdd b' Hb' Hinh with ⟨n', hn', h2n'⟩
exact le_antisymm (h2n _ hn') (h2n' _ hn)
| 3 | 20.085537 | 1 | 1.5 | 4 | 1,668 |
import Mathlib.Algebra.Order.Ring.Int
#align_import data.int.least_greatest from "leanprover-community/mathlib"@"3342d1b2178381196f818146ff79bc0e7ccd9e2d"
namespace Int
def leastOfBdd {P : ℤ → Prop} [DecidablePred P] (b : ℤ) (Hb : ∀ z : ℤ, P z → b ≤ z)
(Hinh : ∃ z : ℤ, P z) : { lb : ℤ // P lb ∧ ∀ z : ℤ, P z → lb ≤ z } :=
have EX : ∃ n : ℕ, P (b + n) :=
let ⟨elt, Helt⟩ := Hinh
match elt, le.dest (Hb _ Helt), Helt with
| _, ⟨n, rfl⟩, Hn => ⟨n, Hn⟩
⟨b + (Nat.find EX : ℤ), Nat.find_spec EX, fun z h =>
match z, le.dest (Hb _ h), h with
| _, ⟨_, rfl⟩, h => add_le_add_left (Int.ofNat_le.2 <| Nat.find_min' _ h) _⟩
#align int.least_of_bdd Int.leastOfBdd
theorem exists_least_of_bdd
{P : ℤ → Prop}
(Hbdd : ∃ b : ℤ , ∀ z : ℤ , P z → b ≤ z)
(Hinh : ∃ z : ℤ , P z) : ∃ lb : ℤ , P lb ∧ ∀ z : ℤ , P z → lb ≤ z := by
classical
let ⟨b , Hb⟩ := Hbdd
let ⟨lb , H⟩ := leastOfBdd b Hb Hinh
exact ⟨lb , H⟩
#align int.exists_least_of_bdd Int.exists_least_of_bdd
theorem coe_leastOfBdd_eq {P : ℤ → Prop} [DecidablePred P] {b b' : ℤ} (Hb : ∀ z : ℤ, P z → b ≤ z)
(Hb' : ∀ z : ℤ, P z → b' ≤ z) (Hinh : ∃ z : ℤ, P z) :
(leastOfBdd b Hb Hinh : ℤ) = leastOfBdd b' Hb' Hinh := by
rcases leastOfBdd b Hb Hinh with ⟨n, hn, h2n⟩
rcases leastOfBdd b' Hb' Hinh with ⟨n', hn', h2n'⟩
exact le_antisymm (h2n _ hn') (h2n' _ hn)
#align int.coe_least_of_bdd_eq Int.coe_leastOfBdd_eq
def greatestOfBdd {P : ℤ → Prop} [DecidablePred P] (b : ℤ) (Hb : ∀ z : ℤ, P z → z ≤ b)
(Hinh : ∃ z : ℤ, P z) : { ub : ℤ // P ub ∧ ∀ z : ℤ, P z → z ≤ ub } :=
have Hbdd' : ∀ z : ℤ, P (-z) → -b ≤ z := fun z h => neg_le.1 (Hb _ h)
have Hinh' : ∃ z : ℤ, P (-z) :=
let ⟨elt, Helt⟩ := Hinh
⟨-elt, by rw [neg_neg]; exact Helt⟩
let ⟨lb, Plb, al⟩ := leastOfBdd (-b) Hbdd' Hinh'
⟨-lb, Plb, fun z h => le_neg.1 <| al _ <| by rwa [neg_neg]⟩
#align int.greatest_of_bdd Int.greatestOfBdd
| Mathlib/Data/Int/LeastGreatest.lean | 96 | 103 | theorem exists_greatest_of_bdd
{P : ℤ → Prop}
(Hbdd : ∃ b : ℤ , ∀ z : ℤ , P z → z ≤ b)
(Hinh : ∃ z : ℤ , P z) : ∃ ub : ℤ , P ub ∧ ∀ z : ℤ , P z → z ≤ ub := by |
classical
let ⟨b, Hb⟩ := Hbdd
let ⟨lb, H⟩ := greatestOfBdd b Hb Hinh
exact ⟨lb, H⟩
| 4 | 54.59815 | 2 | 1.5 | 4 | 1,668 |
import Mathlib.Algebra.Order.Ring.Int
#align_import data.int.least_greatest from "leanprover-community/mathlib"@"3342d1b2178381196f818146ff79bc0e7ccd9e2d"
namespace Int
def leastOfBdd {P : ℤ → Prop} [DecidablePred P] (b : ℤ) (Hb : ∀ z : ℤ, P z → b ≤ z)
(Hinh : ∃ z : ℤ, P z) : { lb : ℤ // P lb ∧ ∀ z : ℤ, P z → lb ≤ z } :=
have EX : ∃ n : ℕ, P (b + n) :=
let ⟨elt, Helt⟩ := Hinh
match elt, le.dest (Hb _ Helt), Helt with
| _, ⟨n, rfl⟩, Hn => ⟨n, Hn⟩
⟨b + (Nat.find EX : ℤ), Nat.find_spec EX, fun z h =>
match z, le.dest (Hb _ h), h with
| _, ⟨_, rfl⟩, h => add_le_add_left (Int.ofNat_le.2 <| Nat.find_min' _ h) _⟩
#align int.least_of_bdd Int.leastOfBdd
theorem exists_least_of_bdd
{P : ℤ → Prop}
(Hbdd : ∃ b : ℤ , ∀ z : ℤ , P z → b ≤ z)
(Hinh : ∃ z : ℤ , P z) : ∃ lb : ℤ , P lb ∧ ∀ z : ℤ , P z → lb ≤ z := by
classical
let ⟨b , Hb⟩ := Hbdd
let ⟨lb , H⟩ := leastOfBdd b Hb Hinh
exact ⟨lb , H⟩
#align int.exists_least_of_bdd Int.exists_least_of_bdd
theorem coe_leastOfBdd_eq {P : ℤ → Prop} [DecidablePred P] {b b' : ℤ} (Hb : ∀ z : ℤ, P z → b ≤ z)
(Hb' : ∀ z : ℤ, P z → b' ≤ z) (Hinh : ∃ z : ℤ, P z) :
(leastOfBdd b Hb Hinh : ℤ) = leastOfBdd b' Hb' Hinh := by
rcases leastOfBdd b Hb Hinh with ⟨n, hn, h2n⟩
rcases leastOfBdd b' Hb' Hinh with ⟨n', hn', h2n'⟩
exact le_antisymm (h2n _ hn') (h2n' _ hn)
#align int.coe_least_of_bdd_eq Int.coe_leastOfBdd_eq
def greatestOfBdd {P : ℤ → Prop} [DecidablePred P] (b : ℤ) (Hb : ∀ z : ℤ, P z → z ≤ b)
(Hinh : ∃ z : ℤ, P z) : { ub : ℤ // P ub ∧ ∀ z : ℤ, P z → z ≤ ub } :=
have Hbdd' : ∀ z : ℤ, P (-z) → -b ≤ z := fun z h => neg_le.1 (Hb _ h)
have Hinh' : ∃ z : ℤ, P (-z) :=
let ⟨elt, Helt⟩ := Hinh
⟨-elt, by rw [neg_neg]; exact Helt⟩
let ⟨lb, Plb, al⟩ := leastOfBdd (-b) Hbdd' Hinh'
⟨-lb, Plb, fun z h => le_neg.1 <| al _ <| by rwa [neg_neg]⟩
#align int.greatest_of_bdd Int.greatestOfBdd
theorem exists_greatest_of_bdd
{P : ℤ → Prop}
(Hbdd : ∃ b : ℤ , ∀ z : ℤ , P z → z ≤ b)
(Hinh : ∃ z : ℤ , P z) : ∃ ub : ℤ , P ub ∧ ∀ z : ℤ , P z → z ≤ ub := by
classical
let ⟨b, Hb⟩ := Hbdd
let ⟨lb, H⟩ := greatestOfBdd b Hb Hinh
exact ⟨lb, H⟩
#align int.exists_greatest_of_bdd Int.exists_greatest_of_bdd
| Mathlib/Data/Int/LeastGreatest.lean | 106 | 111 | theorem coe_greatestOfBdd_eq {P : ℤ → Prop} [DecidablePred P] {b b' : ℤ}
(Hb : ∀ z : ℤ, P z → z ≤ b) (Hb' : ∀ z : ℤ, P z → z ≤ b') (Hinh : ∃ z : ℤ, P z) :
(greatestOfBdd b Hb Hinh : ℤ) = greatestOfBdd b' Hb' Hinh := by |
rcases greatestOfBdd b Hb Hinh with ⟨n, hn, h2n⟩
rcases greatestOfBdd b' Hb' Hinh with ⟨n', hn', h2n'⟩
exact le_antisymm (h2n' _ hn) (h2n _ hn')
| 3 | 20.085537 | 1 | 1.5 | 4 | 1,668 |
import Mathlib.CategoryTheory.Abelian.Subobject
import Mathlib.CategoryTheory.Limits.EssentiallySmall
import Mathlib.CategoryTheory.Preadditive.Injective
import Mathlib.CategoryTheory.Preadditive.Generator
import Mathlib.CategoryTheory.Abelian.Opposite
#align_import category_theory.abelian.generator from "leanprover-community/mathlib"@"f0c8bf9245297a541f468be517f1bde6195105e9"
open CategoryTheory CategoryTheory.Limits Opposite
universe v u
namespace CategoryTheory.Abelian
variable {C : Type u} [Category.{v} C] [Abelian C]
| Mathlib/CategoryTheory/Abelian/Generator.lean | 35 | 52 | theorem has_injective_coseparator [HasLimits C] [EnoughInjectives C] (G : C) (hG : IsSeparator G) :
∃ G : C, Injective G ∧ IsCoseparator G := by |
haveI : WellPowered C := wellPowered_of_isDetector G hG.isDetector
haveI : HasProductsOfShape (Subobject (op G)) C := hasProductsOfShape_of_small _ _
let T : C := Injective.under (piObj fun P : Subobject (op G) => unop P)
refine ⟨T, inferInstance, (Preadditive.isCoseparator_iff _).2 fun X Y f hf => ?_⟩
refine (Preadditive.isSeparator_iff _).1 hG _ fun h => ?_
suffices hh : factorThruImage (h ≫ f) = 0 by
rw [← Limits.image.fac (h ≫ f), hh, zero_comp]
let R := Subobject.mk (factorThruImage (h ≫ f)).op
let q₁ : image (h ≫ f) ⟶ unop R :=
(Subobject.underlyingIso (factorThruImage (h ≫ f)).op).unop.hom
let q₂ : unop (R : Cᵒᵖ) ⟶ piObj fun P : Subobject (op G) => unop P :=
section_ (Pi.π (fun P : Subobject (op G) => (unop P : C)) R)
let q : image (h ≫ f) ⟶ T := q₁ ≫ q₂ ≫ Injective.ι _
exact zero_of_comp_mono q
(by rw [← Injective.comp_factorThru q (Limits.image.ι (h ≫ f)), Limits.image.fac_assoc,
Category.assoc, hf, comp_zero])
| 16 | 8,886,110.520508 | 2 | 1.5 | 2 | 1,669 |
import Mathlib.CategoryTheory.Abelian.Subobject
import Mathlib.CategoryTheory.Limits.EssentiallySmall
import Mathlib.CategoryTheory.Preadditive.Injective
import Mathlib.CategoryTheory.Preadditive.Generator
import Mathlib.CategoryTheory.Abelian.Opposite
#align_import category_theory.abelian.generator from "leanprover-community/mathlib"@"f0c8bf9245297a541f468be517f1bde6195105e9"
open CategoryTheory CategoryTheory.Limits Opposite
universe v u
namespace CategoryTheory.Abelian
variable {C : Type u} [Category.{v} C] [Abelian C]
theorem has_injective_coseparator [HasLimits C] [EnoughInjectives C] (G : C) (hG : IsSeparator G) :
∃ G : C, Injective G ∧ IsCoseparator G := by
haveI : WellPowered C := wellPowered_of_isDetector G hG.isDetector
haveI : HasProductsOfShape (Subobject (op G)) C := hasProductsOfShape_of_small _ _
let T : C := Injective.under (piObj fun P : Subobject (op G) => unop P)
refine ⟨T, inferInstance, (Preadditive.isCoseparator_iff _).2 fun X Y f hf => ?_⟩
refine (Preadditive.isSeparator_iff _).1 hG _ fun h => ?_
suffices hh : factorThruImage (h ≫ f) = 0 by
rw [← Limits.image.fac (h ≫ f), hh, zero_comp]
let R := Subobject.mk (factorThruImage (h ≫ f)).op
let q₁ : image (h ≫ f) ⟶ unop R :=
(Subobject.underlyingIso (factorThruImage (h ≫ f)).op).unop.hom
let q₂ : unop (R : Cᵒᵖ) ⟶ piObj fun P : Subobject (op G) => unop P :=
section_ (Pi.π (fun P : Subobject (op G) => (unop P : C)) R)
let q : image (h ≫ f) ⟶ T := q₁ ≫ q₂ ≫ Injective.ι _
exact zero_of_comp_mono q
(by rw [← Injective.comp_factorThru q (Limits.image.ι (h ≫ f)), Limits.image.fac_assoc,
Category.assoc, hf, comp_zero])
#align category_theory.abelian.has_injective_coseparator CategoryTheory.Abelian.has_injective_coseparator
| Mathlib/CategoryTheory/Abelian/Generator.lean | 55 | 58 | theorem has_projective_separator [HasColimits C] [EnoughProjectives C] (G : C)
(hG : IsCoseparator G) : ∃ G : C, Projective G ∧ IsSeparator G := by |
obtain ⟨T, hT₁, hT₂⟩ := has_injective_coseparator (op G) ((isSeparator_op_iff _).2 hG)
exact ⟨unop T, inferInstance, (isSeparator_unop_iff _).2 hT₂⟩
| 2 | 7.389056 | 1 | 1.5 | 2 | 1,669 |
import Mathlib.LinearAlgebra.ExteriorAlgebra.Basic
import Mathlib.RingTheory.GradedAlgebra.Basic
#align_import linear_algebra.exterior_algebra.grading from "leanprover-community/mathlib"@"34020e531ebc4e8aac6d449d9eecbcd1508ea8d0"
namespace ExteriorAlgebra
variable {R M : Type*} [CommRing R] [AddCommGroup M] [Module R M]
variable (R M)
open scoped DirectSum
-- Porting note: protected
protected def GradedAlgebra.ι :
M →ₗ[R] ⨁ i : ℕ, ⋀[R]^i M :=
DirectSum.lof R ℕ (fun i => ⋀[R]^i M) 1 ∘ₗ
(ι R).codRestrict _ fun m => by simpa only [pow_one] using LinearMap.mem_range_self _ m
#align exterior_algebra.graded_algebra.ι ExteriorAlgebra.GradedAlgebra.ι
theorem GradedAlgebra.ι_apply (m : M) :
GradedAlgebra.ι R M m =
DirectSum.of (fun i : ℕ => ⋀[R]^i M) 1
⟨ι R m, by simpa only [pow_one] using LinearMap.mem_range_self _ m⟩ :=
rfl
#align exterior_algebra.graded_algebra.ι_apply ExteriorAlgebra.GradedAlgebra.ι_apply
-- Defining this instance manually, because Lean doesn't seem to be able to synthesize it.
-- Strangely, this problem only appears when we use the abbreviation or notation for the
-- exterior powers.
instance : SetLike.GradedMonoid fun i : ℕ ↦ ⋀[R]^i M :=
Submodule.nat_power_gradedMonoid (LinearMap.range (ι R : M →ₗ[R] ExteriorAlgebra R M))
-- Porting note: Lean needs to be reminded of this instance otherwise it cannot
-- synthesize 0 in the next theorem
attribute [local instance 1100] MulZeroClass.toZero in
| Mathlib/LinearAlgebra/ExteriorAlgebra/Grading.lean | 52 | 54 | theorem GradedAlgebra.ι_sq_zero (m : M) : GradedAlgebra.ι R M m * GradedAlgebra.ι R M m = 0 := by |
rw [GradedAlgebra.ι_apply, DirectSum.of_mul_of]
exact DFinsupp.single_eq_zero.mpr (Subtype.ext <| ExteriorAlgebra.ι_sq_zero _)
| 2 | 7.389056 | 1 | 1.5 | 2 | 1,670 |
import Mathlib.LinearAlgebra.ExteriorAlgebra.Basic
import Mathlib.RingTheory.GradedAlgebra.Basic
#align_import linear_algebra.exterior_algebra.grading from "leanprover-community/mathlib"@"34020e531ebc4e8aac6d449d9eecbcd1508ea8d0"
namespace ExteriorAlgebra
variable {R M : Type*} [CommRing R] [AddCommGroup M] [Module R M]
variable (R M)
open scoped DirectSum
-- Porting note: protected
protected def GradedAlgebra.ι :
M →ₗ[R] ⨁ i : ℕ, ⋀[R]^i M :=
DirectSum.lof R ℕ (fun i => ⋀[R]^i M) 1 ∘ₗ
(ι R).codRestrict _ fun m => by simpa only [pow_one] using LinearMap.mem_range_self _ m
#align exterior_algebra.graded_algebra.ι ExteriorAlgebra.GradedAlgebra.ι
theorem GradedAlgebra.ι_apply (m : M) :
GradedAlgebra.ι R M m =
DirectSum.of (fun i : ℕ => ⋀[R]^i M) 1
⟨ι R m, by simpa only [pow_one] using LinearMap.mem_range_self _ m⟩ :=
rfl
#align exterior_algebra.graded_algebra.ι_apply ExteriorAlgebra.GradedAlgebra.ι_apply
-- Defining this instance manually, because Lean doesn't seem to be able to synthesize it.
-- Strangely, this problem only appears when we use the abbreviation or notation for the
-- exterior powers.
instance : SetLike.GradedMonoid fun i : ℕ ↦ ⋀[R]^i M :=
Submodule.nat_power_gradedMonoid (LinearMap.range (ι R : M →ₗ[R] ExteriorAlgebra R M))
-- Porting note: Lean needs to be reminded of this instance otherwise it cannot
-- synthesize 0 in the next theorem
attribute [local instance 1100] MulZeroClass.toZero in
theorem GradedAlgebra.ι_sq_zero (m : M) : GradedAlgebra.ι R M m * GradedAlgebra.ι R M m = 0 := by
rw [GradedAlgebra.ι_apply, DirectSum.of_mul_of]
exact DFinsupp.single_eq_zero.mpr (Subtype.ext <| ExteriorAlgebra.ι_sq_zero _)
#align exterior_algebra.graded_algebra.ι_sq_zero ExteriorAlgebra.GradedAlgebra.ι_sq_zero
def GradedAlgebra.liftι :
ExteriorAlgebra R M →ₐ[R] ⨁ i : ℕ, ⋀[R]^i M :=
lift R ⟨by apply GradedAlgebra.ι R M, GradedAlgebra.ι_sq_zero R M⟩
#align exterior_algebra.graded_algebra.lift_ι ExteriorAlgebra.GradedAlgebra.liftι
| Mathlib/LinearAlgebra/ExteriorAlgebra/Grading.lean | 64 | 80 | theorem GradedAlgebra.liftι_eq (i : ℕ) (x : ⋀[R]^i M) :
GradedAlgebra.liftι R M x = DirectSum.of (fun i => ⋀[R]^i M) i x := by |
cases' x with x hx
dsimp only [Subtype.coe_mk, DirectSum.lof_eq_of]
-- Porting note: original statement was
-- refine Submodule.pow_induction_on_left' _ (fun r => ?_) (fun x y i hx hy ihx ihy => ?_)
-- (fun m hm i x hx ih => ?_) hx
-- but it created invalid goals
induction hx using Submodule.pow_induction_on_left' with
| algebraMap => simp_rw [AlgHom.commutes, DirectSum.algebraMap_apply]; rfl
-- FIXME: specialized `map_add` to avoid a (whole-declaration) timeout
| add _ _ _ _ _ ihx ihy => simp_rw [AlgHom.map_add, ihx, ihy, ← AddMonoidHom.map_add]; rfl
| mem_mul _ hm _ _ _ ih =>
obtain ⟨_, rfl⟩ := hm
simp_rw [AlgHom.map_mul, ih, GradedAlgebra.liftι, lift_ι_apply, GradedAlgebra.ι_apply R M,
DirectSum.of_mul_of]
exact DirectSum.of_eq_of_gradedMonoid_eq (Sigma.subtype_ext (add_comm _ _) rfl)
| 15 | 3,269,017.372472 | 2 | 1.5 | 2 | 1,670 |
import Mathlib.CategoryTheory.Monoidal.Free.Basic
import Mathlib.CategoryTheory.Groupoid
import Mathlib.CategoryTheory.DiscreteCategory
#align_import category_theory.monoidal.free.coherence from "leanprover-community/mathlib"@"f187f1074fa1857c94589cc653c786cadc4c35ff"
universe u
namespace CategoryTheory
open MonoidalCategory
namespace FreeMonoidalCategory
variable {C : Type u}
section
variable (C)
-- porting note (#5171): removed @[nolint has_nonempty_instance]
inductive NormalMonoidalObject : Type u
| unit : NormalMonoidalObject
| tensor : NormalMonoidalObject → C → NormalMonoidalObject
#align category_theory.free_monoidal_category.normal_monoidal_object CategoryTheory.FreeMonoidalCategory.NormalMonoidalObject
end
local notation "F" => FreeMonoidalCategory
local notation "N" => Discrete ∘ NormalMonoidalObject
local infixr:10 " ⟶ᵐ " => Hom
-- Porting note: this was automatic in mathlib 3
instance (x y : N C) : Subsingleton (x ⟶ y) := Discrete.instSubsingletonDiscreteHom _ _
@[simp]
def inclusionObj : NormalMonoidalObject C → F C
| NormalMonoidalObject.unit => unit
| NormalMonoidalObject.tensor n a => tensor (inclusionObj n) (of a)
#align category_theory.free_monoidal_category.inclusion_obj CategoryTheory.FreeMonoidalCategory.inclusionObj
def inclusion : N C ⥤ F C :=
Discrete.functor inclusionObj
#align category_theory.free_monoidal_category.inclusion CategoryTheory.FreeMonoidalCategory.inclusion
@[simp]
theorem inclusion_obj (X : N C) :
inclusion.obj X = inclusionObj X.as :=
rfl
@[simp]
| Mathlib/CategoryTheory/Monoidal/Free/Coherence.lean | 91 | 95 | theorem inclusion_map {X Y : N C} (f : X ⟶ Y) :
inclusion.map f = eqToHom (congr_arg _ (Discrete.ext _ _ (Discrete.eq_of_hom f))) := by |
rcases f with ⟨⟨⟩⟩
cases Discrete.ext _ _ (by assumption)
apply inclusion.map_id
| 3 | 20.085537 | 1 | 1.5 | 2 | 1,671 |
import Mathlib.CategoryTheory.Monoidal.Free.Basic
import Mathlib.CategoryTheory.Groupoid
import Mathlib.CategoryTheory.DiscreteCategory
#align_import category_theory.monoidal.free.coherence from "leanprover-community/mathlib"@"f187f1074fa1857c94589cc653c786cadc4c35ff"
universe u
namespace CategoryTheory
open MonoidalCategory
namespace FreeMonoidalCategory
variable {C : Type u}
section
variable (C)
-- porting note (#5171): removed @[nolint has_nonempty_instance]
inductive NormalMonoidalObject : Type u
| unit : NormalMonoidalObject
| tensor : NormalMonoidalObject → C → NormalMonoidalObject
#align category_theory.free_monoidal_category.normal_monoidal_object CategoryTheory.FreeMonoidalCategory.NormalMonoidalObject
end
local notation "F" => FreeMonoidalCategory
local notation "N" => Discrete ∘ NormalMonoidalObject
local infixr:10 " ⟶ᵐ " => Hom
-- Porting note: this was automatic in mathlib 3
instance (x y : N C) : Subsingleton (x ⟶ y) := Discrete.instSubsingletonDiscreteHom _ _
@[simp]
def inclusionObj : NormalMonoidalObject C → F C
| NormalMonoidalObject.unit => unit
| NormalMonoidalObject.tensor n a => tensor (inclusionObj n) (of a)
#align category_theory.free_monoidal_category.inclusion_obj CategoryTheory.FreeMonoidalCategory.inclusionObj
def inclusion : N C ⥤ F C :=
Discrete.functor inclusionObj
#align category_theory.free_monoidal_category.inclusion CategoryTheory.FreeMonoidalCategory.inclusion
@[simp]
theorem inclusion_obj (X : N C) :
inclusion.obj X = inclusionObj X.as :=
rfl
@[simp]
theorem inclusion_map {X Y : N C} (f : X ⟶ Y) :
inclusion.map f = eqToHom (congr_arg _ (Discrete.ext _ _ (Discrete.eq_of_hom f))) := by
rcases f with ⟨⟨⟩⟩
cases Discrete.ext _ _ (by assumption)
apply inclusion.map_id
def normalizeObj : F C → NormalMonoidalObject C → NormalMonoidalObject C
| unit, n => n
| of X, n => NormalMonoidalObject.tensor n X
| tensor X Y, n => normalizeObj Y (normalizeObj X n)
#align category_theory.free_monoidal_category.normalize_obj CategoryTheory.FreeMonoidalCategory.normalizeObj
@[simp]
theorem normalizeObj_unitor (n : NormalMonoidalObject C) : normalizeObj (𝟙_ (F C)) n = n :=
rfl
#align category_theory.free_monoidal_category.normalize_obj_unitor CategoryTheory.FreeMonoidalCategory.normalizeObj_unitor
@[simp]
theorem normalizeObj_tensor (X Y : F C) (n : NormalMonoidalObject C) :
normalizeObj (X ⊗ Y) n = normalizeObj Y (normalizeObj X n) :=
rfl
#align category_theory.free_monoidal_category.normalize_obj_tensor CategoryTheory.FreeMonoidalCategory.normalizeObj_tensor
def normalizeObj' (X : F C) : N C ⥤ N C := Discrete.functor fun n ↦ ⟨normalizeObj X n⟩
section
open Hom
@[simp]
def normalizeMapAux : ∀ {X Y : F C}, (X ⟶ᵐ Y) → (normalizeObj' X ⟶ normalizeObj' Y)
| _, _, Hom.id _ => 𝟙 _
| _, _, α_hom X Y Z => by dsimp; exact Discrete.natTrans (fun _ => 𝟙 _)
| _, _, α_inv _ _ _ => by dsimp; exact Discrete.natTrans (fun _ => 𝟙 _)
| _, _, l_hom _ => by dsimp; exact Discrete.natTrans (fun _ => 𝟙 _)
| _, _, l_inv _ => by dsimp; exact Discrete.natTrans (fun _ => 𝟙 _)
| _, _, ρ_hom _ => by dsimp; exact Discrete.natTrans (fun _ => 𝟙 _)
| _, _, ρ_inv _ => by dsimp; exact Discrete.natTrans (fun _ => 𝟙 _)
| _, _, (@comp _ _ _ _ f g) => normalizeMapAux f ≫ normalizeMapAux g
| _, _, (@Hom.tensor _ T _ _ W f g) =>
Discrete.natTrans <| fun ⟨X⟩ => (normalizeMapAux g).app ⟨normalizeObj T X⟩ ≫
(normalizeObj' W).map ((normalizeMapAux f).app ⟨X⟩)
| _, _, (@Hom.whiskerLeft _ T _ W f) =>
Discrete.natTrans <| fun ⟨X⟩ => (normalizeMapAux f).app ⟨normalizeObj T X⟩
| _, _, (@Hom.whiskerRight _ T _ f W) =>
Discrete.natTrans <| fun X => (normalizeObj' W).map <| (normalizeMapAux f).app X
#align category_theory.free_monoidal_category.normalize_map_aux CategoryTheory.FreeMonoidalCategory.normalizeMapAux
end
section
variable (C)
@[simp]
def normalize : F C ⥤ N C ⥤ N C where
obj X := normalizeObj' X
map {X Y} := Quotient.lift normalizeMapAux (by aesop_cat)
#align category_theory.free_monoidal_category.normalize CategoryTheory.FreeMonoidalCategory.normalize
@[simp]
def normalize' : F C ⥤ N C ⥤ F C :=
normalize C ⋙ (whiskeringRight _ _ _).obj inclusion
#align category_theory.free_monoidal_category.normalize' CategoryTheory.FreeMonoidalCategory.normalize'
def fullNormalize : F C ⥤ N C where
obj X := ((normalize C).obj X).obj ⟨NormalMonoidalObject.unit⟩
map f := ((normalize C).map f).app ⟨NormalMonoidalObject.unit⟩
#align category_theory.free_monoidal_category.full_normalize CategoryTheory.FreeMonoidalCategory.fullNormalize
@[simp]
def tensorFunc : F C ⥤ N C ⥤ F C where
obj X := Discrete.functor fun n => inclusion.obj ⟨n⟩ ⊗ X
map f := Discrete.natTrans (fun n => _ ◁ f)
#align category_theory.free_monoidal_category.tensor_func CategoryTheory.FreeMonoidalCategory.tensorFunc
theorem tensorFunc_map_app {X Y : F C} (f : X ⟶ Y) (n) : ((tensorFunc C).map f).app n = _ ◁ f :=
rfl
#align category_theory.free_monoidal_category.tensor_func_map_app CategoryTheory.FreeMonoidalCategory.tensorFunc_map_app
| Mathlib/CategoryTheory/Monoidal/Free/Coherence.lean | 184 | 191 | theorem tensorFunc_obj_map (Z : F C) {n n' : N C} (f : n ⟶ n') :
((tensorFunc C).obj Z).map f = inclusion.map f ▷ Z := by |
cases n
cases n'
rcases f with ⟨⟨h⟩⟩
dsimp at h
subst h
simp
| 6 | 403.428793 | 2 | 1.5 | 2 | 1,671 |
import Mathlib.MeasureTheory.Measure.Haar.Basic
import Mathlib.Analysis.InnerProductSpace.PiL2
#align_import measure_theory.measure.haar.of_basis from "leanprover-community/mathlib"@"92bd7b1ffeb306a89f450bee126ddd8a284c259d"
open Set TopologicalSpace MeasureTheory MeasureTheory.Measure FiniteDimensional
open scoped Pointwise
noncomputable section
variable {ι ι' E F : Type*}
section Fintype
variable [Fintype ι] [Fintype ι']
section AddCommGroup
variable [AddCommGroup E] [Module ℝ E] [AddCommGroup F] [Module ℝ F]
def parallelepiped (v : ι → E) : Set E :=
(fun t : ι → ℝ => ∑ i, t i • v i) '' Icc 0 1
#align parallelepiped parallelepiped
| Mathlib/MeasureTheory/Measure/Haar/OfBasis.lean | 52 | 54 | theorem mem_parallelepiped_iff (v : ι → E) (x : E) :
x ∈ parallelepiped v ↔ ∃ t ∈ Icc (0 : ι → ℝ) 1, x = ∑ i, t i • v i := by |
simp [parallelepiped, eq_comm]
| 1 | 2.718282 | 0 | 1.5 | 6 | 1,672 |
import Mathlib.MeasureTheory.Measure.Haar.Basic
import Mathlib.Analysis.InnerProductSpace.PiL2
#align_import measure_theory.measure.haar.of_basis from "leanprover-community/mathlib"@"92bd7b1ffeb306a89f450bee126ddd8a284c259d"
open Set TopologicalSpace MeasureTheory MeasureTheory.Measure FiniteDimensional
open scoped Pointwise
noncomputable section
variable {ι ι' E F : Type*}
section Fintype
variable [Fintype ι] [Fintype ι']
section AddCommGroup
variable [AddCommGroup E] [Module ℝ E] [AddCommGroup F] [Module ℝ F]
def parallelepiped (v : ι → E) : Set E :=
(fun t : ι → ℝ => ∑ i, t i • v i) '' Icc 0 1
#align parallelepiped parallelepiped
theorem mem_parallelepiped_iff (v : ι → E) (x : E) :
x ∈ parallelepiped v ↔ ∃ t ∈ Icc (0 : ι → ℝ) 1, x = ∑ i, t i • v i := by
simp [parallelepiped, eq_comm]
#align mem_parallelepiped_iff mem_parallelepiped_iff
| Mathlib/MeasureTheory/Measure/Haar/OfBasis.lean | 57 | 65 | theorem parallelepiped_basis_eq (b : Basis ι ℝ E) :
parallelepiped b = {x | ∀ i, b.repr x i ∈ Set.Icc 0 1} := by |
classical
ext x
simp_rw [mem_parallelepiped_iff, mem_setOf_eq, b.ext_elem_iff, _root_.map_sum,
_root_.map_smul, Finset.sum_apply', Basis.repr_self, Finsupp.smul_single, smul_eq_mul,
mul_one, Finsupp.single_apply, Finset.sum_ite_eq', Finset.mem_univ, ite_true, mem_Icc,
Pi.le_def, Pi.zero_apply, Pi.one_apply, ← forall_and]
aesop
| 7 | 1,096.633158 | 2 | 1.5 | 6 | 1,672 |
import Mathlib.MeasureTheory.Measure.Haar.Basic
import Mathlib.Analysis.InnerProductSpace.PiL2
#align_import measure_theory.measure.haar.of_basis from "leanprover-community/mathlib"@"92bd7b1ffeb306a89f450bee126ddd8a284c259d"
open Set TopologicalSpace MeasureTheory MeasureTheory.Measure FiniteDimensional
open scoped Pointwise
noncomputable section
variable {ι ι' E F : Type*}
section Fintype
variable [Fintype ι] [Fintype ι']
section AddCommGroup
variable [AddCommGroup E] [Module ℝ E] [AddCommGroup F] [Module ℝ F]
def parallelepiped (v : ι → E) : Set E :=
(fun t : ι → ℝ => ∑ i, t i • v i) '' Icc 0 1
#align parallelepiped parallelepiped
theorem mem_parallelepiped_iff (v : ι → E) (x : E) :
x ∈ parallelepiped v ↔ ∃ t ∈ Icc (0 : ι → ℝ) 1, x = ∑ i, t i • v i := by
simp [parallelepiped, eq_comm]
#align mem_parallelepiped_iff mem_parallelepiped_iff
theorem parallelepiped_basis_eq (b : Basis ι ℝ E) :
parallelepiped b = {x | ∀ i, b.repr x i ∈ Set.Icc 0 1} := by
classical
ext x
simp_rw [mem_parallelepiped_iff, mem_setOf_eq, b.ext_elem_iff, _root_.map_sum,
_root_.map_smul, Finset.sum_apply', Basis.repr_self, Finsupp.smul_single, smul_eq_mul,
mul_one, Finsupp.single_apply, Finset.sum_ite_eq', Finset.mem_univ, ite_true, mem_Icc,
Pi.le_def, Pi.zero_apply, Pi.one_apply, ← forall_and]
aesop
| Mathlib/MeasureTheory/Measure/Haar/OfBasis.lean | 67 | 71 | theorem image_parallelepiped (f : E →ₗ[ℝ] F) (v : ι → E) :
f '' parallelepiped v = parallelepiped (f ∘ v) := by |
simp only [parallelepiped, ← image_comp]
congr 1 with t
simp only [Function.comp_apply, _root_.map_sum, LinearMap.map_smulₛₗ, RingHom.id_apply]
| 3 | 20.085537 | 1 | 1.5 | 6 | 1,672 |
import Mathlib.MeasureTheory.Measure.Haar.Basic
import Mathlib.Analysis.InnerProductSpace.PiL2
#align_import measure_theory.measure.haar.of_basis from "leanprover-community/mathlib"@"92bd7b1ffeb306a89f450bee126ddd8a284c259d"
open Set TopologicalSpace MeasureTheory MeasureTheory.Measure FiniteDimensional
open scoped Pointwise
noncomputable section
variable {ι ι' E F : Type*}
section Fintype
variable [Fintype ι] [Fintype ι']
section AddCommGroup
variable [AddCommGroup E] [Module ℝ E] [AddCommGroup F] [Module ℝ F]
def parallelepiped (v : ι → E) : Set E :=
(fun t : ι → ℝ => ∑ i, t i • v i) '' Icc 0 1
#align parallelepiped parallelepiped
theorem mem_parallelepiped_iff (v : ι → E) (x : E) :
x ∈ parallelepiped v ↔ ∃ t ∈ Icc (0 : ι → ℝ) 1, x = ∑ i, t i • v i := by
simp [parallelepiped, eq_comm]
#align mem_parallelepiped_iff mem_parallelepiped_iff
theorem parallelepiped_basis_eq (b : Basis ι ℝ E) :
parallelepiped b = {x | ∀ i, b.repr x i ∈ Set.Icc 0 1} := by
classical
ext x
simp_rw [mem_parallelepiped_iff, mem_setOf_eq, b.ext_elem_iff, _root_.map_sum,
_root_.map_smul, Finset.sum_apply', Basis.repr_self, Finsupp.smul_single, smul_eq_mul,
mul_one, Finsupp.single_apply, Finset.sum_ite_eq', Finset.mem_univ, ite_true, mem_Icc,
Pi.le_def, Pi.zero_apply, Pi.one_apply, ← forall_and]
aesop
theorem image_parallelepiped (f : E →ₗ[ℝ] F) (v : ι → E) :
f '' parallelepiped v = parallelepiped (f ∘ v) := by
simp only [parallelepiped, ← image_comp]
congr 1 with t
simp only [Function.comp_apply, _root_.map_sum, LinearMap.map_smulₛₗ, RingHom.id_apply]
#align image_parallelepiped image_parallelepiped
@[simp]
| Mathlib/MeasureTheory/Measure/Haar/OfBasis.lean | 76 | 94 | theorem parallelepiped_comp_equiv (v : ι → E) (e : ι' ≃ ι) :
parallelepiped (v ∘ e) = parallelepiped v := by |
simp only [parallelepiped]
let K : (ι' → ℝ) ≃ (ι → ℝ) := Equiv.piCongrLeft' (fun _a : ι' => ℝ) e
have : Icc (0 : ι → ℝ) 1 = K '' Icc (0 : ι' → ℝ) 1 := by
rw [← Equiv.preimage_eq_iff_eq_image]
ext x
simp only [K, mem_preimage, mem_Icc, Pi.le_def, Pi.zero_apply, Equiv.piCongrLeft'_apply,
Pi.one_apply]
refine
⟨fun h => ⟨fun i => ?_, fun i => ?_⟩, fun h =>
⟨fun i => h.1 (e.symm i), fun i => h.2 (e.symm i)⟩⟩
· simpa only [Equiv.symm_apply_apply] using h.1 (e i)
· simpa only [Equiv.symm_apply_apply] using h.2 (e i)
rw [this, ← image_comp]
congr 1 with x
have := fun z : ι' → ℝ => e.symm.sum_comp fun i => z i • v (e i)
simp_rw [Equiv.apply_symm_apply] at this
simp_rw [Function.comp_apply, mem_image, mem_Icc, K, Equiv.piCongrLeft'_apply, this]
| 17 | 24,154,952.753575 | 2 | 1.5 | 6 | 1,672 |
import Mathlib.MeasureTheory.Measure.Haar.Basic
import Mathlib.Analysis.InnerProductSpace.PiL2
#align_import measure_theory.measure.haar.of_basis from "leanprover-community/mathlib"@"92bd7b1ffeb306a89f450bee126ddd8a284c259d"
open Set TopologicalSpace MeasureTheory MeasureTheory.Measure FiniteDimensional
open scoped Pointwise
noncomputable section
variable {ι ι' E F : Type*}
section Fintype
variable [Fintype ι] [Fintype ι']
section AddCommGroup
variable [AddCommGroup E] [Module ℝ E] [AddCommGroup F] [Module ℝ F]
def parallelepiped (v : ι → E) : Set E :=
(fun t : ι → ℝ => ∑ i, t i • v i) '' Icc 0 1
#align parallelepiped parallelepiped
theorem mem_parallelepiped_iff (v : ι → E) (x : E) :
x ∈ parallelepiped v ↔ ∃ t ∈ Icc (0 : ι → ℝ) 1, x = ∑ i, t i • v i := by
simp [parallelepiped, eq_comm]
#align mem_parallelepiped_iff mem_parallelepiped_iff
theorem parallelepiped_basis_eq (b : Basis ι ℝ E) :
parallelepiped b = {x | ∀ i, b.repr x i ∈ Set.Icc 0 1} := by
classical
ext x
simp_rw [mem_parallelepiped_iff, mem_setOf_eq, b.ext_elem_iff, _root_.map_sum,
_root_.map_smul, Finset.sum_apply', Basis.repr_self, Finsupp.smul_single, smul_eq_mul,
mul_one, Finsupp.single_apply, Finset.sum_ite_eq', Finset.mem_univ, ite_true, mem_Icc,
Pi.le_def, Pi.zero_apply, Pi.one_apply, ← forall_and]
aesop
theorem image_parallelepiped (f : E →ₗ[ℝ] F) (v : ι → E) :
f '' parallelepiped v = parallelepiped (f ∘ v) := by
simp only [parallelepiped, ← image_comp]
congr 1 with t
simp only [Function.comp_apply, _root_.map_sum, LinearMap.map_smulₛₗ, RingHom.id_apply]
#align image_parallelepiped image_parallelepiped
@[simp]
theorem parallelepiped_comp_equiv (v : ι → E) (e : ι' ≃ ι) :
parallelepiped (v ∘ e) = parallelepiped v := by
simp only [parallelepiped]
let K : (ι' → ℝ) ≃ (ι → ℝ) := Equiv.piCongrLeft' (fun _a : ι' => ℝ) e
have : Icc (0 : ι → ℝ) 1 = K '' Icc (0 : ι' → ℝ) 1 := by
rw [← Equiv.preimage_eq_iff_eq_image]
ext x
simp only [K, mem_preimage, mem_Icc, Pi.le_def, Pi.zero_apply, Equiv.piCongrLeft'_apply,
Pi.one_apply]
refine
⟨fun h => ⟨fun i => ?_, fun i => ?_⟩, fun h =>
⟨fun i => h.1 (e.symm i), fun i => h.2 (e.symm i)⟩⟩
· simpa only [Equiv.symm_apply_apply] using h.1 (e i)
· simpa only [Equiv.symm_apply_apply] using h.2 (e i)
rw [this, ← image_comp]
congr 1 with x
have := fun z : ι' → ℝ => e.symm.sum_comp fun i => z i • v (e i)
simp_rw [Equiv.apply_symm_apply] at this
simp_rw [Function.comp_apply, mem_image, mem_Icc, K, Equiv.piCongrLeft'_apply, this]
#align parallelepiped_comp_equiv parallelepiped_comp_equiv
-- The parallelepiped associated to an orthonormal basis of `ℝ` is either `[0, 1]` or `[-1, 0]`.
| Mathlib/MeasureTheory/Measure/Haar/OfBasis.lean | 98 | 125 | theorem parallelepiped_orthonormalBasis_one_dim (b : OrthonormalBasis ι ℝ ℝ) :
parallelepiped b = Icc 0 1 ∨ parallelepiped b = Icc (-1) 0 := by |
have e : ι ≃ Fin 1 := by
apply Fintype.equivFinOfCardEq
simp only [← finrank_eq_card_basis b.toBasis, finrank_self]
have B : parallelepiped (b.reindex e) = parallelepiped b := by
convert parallelepiped_comp_equiv b e.symm
ext i
simp only [OrthonormalBasis.coe_reindex]
rw [← B]
let F : ℝ → Fin 1 → ℝ := fun t => fun _i => t
have A : Icc (0 : Fin 1 → ℝ) 1 = F '' Icc (0 : ℝ) 1 := by
apply Subset.antisymm
· intro x hx
refine ⟨x 0, ⟨hx.1 0, hx.2 0⟩, ?_⟩
ext j
simp only [Subsingleton.elim j 0]
· rintro x ⟨y, hy, rfl⟩
exact ⟨fun _j => hy.1, fun _j => hy.2⟩
rcases orthonormalBasis_one_dim (b.reindex e) with (H | H)
· left
simp_rw [parallelepiped, H, A, Algebra.id.smul_eq_mul, mul_one]
simp only [Finset.univ_unique, Fin.default_eq_zero, smul_eq_mul, mul_one, Finset.sum_singleton,
← image_comp, Function.comp_apply, image_id', ge_iff_le, zero_le_one, not_true, gt_iff_lt]
· right
simp_rw [H, parallelepiped, Algebra.id.smul_eq_mul, A]
simp only [F, Finset.univ_unique, Fin.default_eq_zero, mul_neg, mul_one, Finset.sum_neg_distrib,
Finset.sum_singleton, ← image_comp, Function.comp, image_neg, preimage_neg_Icc, neg_zero]
| 26 | 195,729,609,428.83878 | 2 | 1.5 | 6 | 1,672 |
import Mathlib.MeasureTheory.Measure.Haar.Basic
import Mathlib.Analysis.InnerProductSpace.PiL2
#align_import measure_theory.measure.haar.of_basis from "leanprover-community/mathlib"@"92bd7b1ffeb306a89f450bee126ddd8a284c259d"
open Set TopologicalSpace MeasureTheory MeasureTheory.Measure FiniteDimensional
open scoped Pointwise
noncomputable section
variable {ι ι' E F : Type*}
section Fintype
variable [Fintype ι] [Fintype ι']
section AddCommGroup
variable [AddCommGroup E] [Module ℝ E] [AddCommGroup F] [Module ℝ F]
def parallelepiped (v : ι → E) : Set E :=
(fun t : ι → ℝ => ∑ i, t i • v i) '' Icc 0 1
#align parallelepiped parallelepiped
theorem mem_parallelepiped_iff (v : ι → E) (x : E) :
x ∈ parallelepiped v ↔ ∃ t ∈ Icc (0 : ι → ℝ) 1, x = ∑ i, t i • v i := by
simp [parallelepiped, eq_comm]
#align mem_parallelepiped_iff mem_parallelepiped_iff
theorem parallelepiped_basis_eq (b : Basis ι ℝ E) :
parallelepiped b = {x | ∀ i, b.repr x i ∈ Set.Icc 0 1} := by
classical
ext x
simp_rw [mem_parallelepiped_iff, mem_setOf_eq, b.ext_elem_iff, _root_.map_sum,
_root_.map_smul, Finset.sum_apply', Basis.repr_self, Finsupp.smul_single, smul_eq_mul,
mul_one, Finsupp.single_apply, Finset.sum_ite_eq', Finset.mem_univ, ite_true, mem_Icc,
Pi.le_def, Pi.zero_apply, Pi.one_apply, ← forall_and]
aesop
theorem image_parallelepiped (f : E →ₗ[ℝ] F) (v : ι → E) :
f '' parallelepiped v = parallelepiped (f ∘ v) := by
simp only [parallelepiped, ← image_comp]
congr 1 with t
simp only [Function.comp_apply, _root_.map_sum, LinearMap.map_smulₛₗ, RingHom.id_apply]
#align image_parallelepiped image_parallelepiped
@[simp]
theorem parallelepiped_comp_equiv (v : ι → E) (e : ι' ≃ ι) :
parallelepiped (v ∘ e) = parallelepiped v := by
simp only [parallelepiped]
let K : (ι' → ℝ) ≃ (ι → ℝ) := Equiv.piCongrLeft' (fun _a : ι' => ℝ) e
have : Icc (0 : ι → ℝ) 1 = K '' Icc (0 : ι' → ℝ) 1 := by
rw [← Equiv.preimage_eq_iff_eq_image]
ext x
simp only [K, mem_preimage, mem_Icc, Pi.le_def, Pi.zero_apply, Equiv.piCongrLeft'_apply,
Pi.one_apply]
refine
⟨fun h => ⟨fun i => ?_, fun i => ?_⟩, fun h =>
⟨fun i => h.1 (e.symm i), fun i => h.2 (e.symm i)⟩⟩
· simpa only [Equiv.symm_apply_apply] using h.1 (e i)
· simpa only [Equiv.symm_apply_apply] using h.2 (e i)
rw [this, ← image_comp]
congr 1 with x
have := fun z : ι' → ℝ => e.symm.sum_comp fun i => z i • v (e i)
simp_rw [Equiv.apply_symm_apply] at this
simp_rw [Function.comp_apply, mem_image, mem_Icc, K, Equiv.piCongrLeft'_apply, this]
#align parallelepiped_comp_equiv parallelepiped_comp_equiv
-- The parallelepiped associated to an orthonormal basis of `ℝ` is either `[0, 1]` or `[-1, 0]`.
theorem parallelepiped_orthonormalBasis_one_dim (b : OrthonormalBasis ι ℝ ℝ) :
parallelepiped b = Icc 0 1 ∨ parallelepiped b = Icc (-1) 0 := by
have e : ι ≃ Fin 1 := by
apply Fintype.equivFinOfCardEq
simp only [← finrank_eq_card_basis b.toBasis, finrank_self]
have B : parallelepiped (b.reindex e) = parallelepiped b := by
convert parallelepiped_comp_equiv b e.symm
ext i
simp only [OrthonormalBasis.coe_reindex]
rw [← B]
let F : ℝ → Fin 1 → ℝ := fun t => fun _i => t
have A : Icc (0 : Fin 1 → ℝ) 1 = F '' Icc (0 : ℝ) 1 := by
apply Subset.antisymm
· intro x hx
refine ⟨x 0, ⟨hx.1 0, hx.2 0⟩, ?_⟩
ext j
simp only [Subsingleton.elim j 0]
· rintro x ⟨y, hy, rfl⟩
exact ⟨fun _j => hy.1, fun _j => hy.2⟩
rcases orthonormalBasis_one_dim (b.reindex e) with (H | H)
· left
simp_rw [parallelepiped, H, A, Algebra.id.smul_eq_mul, mul_one]
simp only [Finset.univ_unique, Fin.default_eq_zero, smul_eq_mul, mul_one, Finset.sum_singleton,
← image_comp, Function.comp_apply, image_id', ge_iff_le, zero_le_one, not_true, gt_iff_lt]
· right
simp_rw [H, parallelepiped, Algebra.id.smul_eq_mul, A]
simp only [F, Finset.univ_unique, Fin.default_eq_zero, mul_neg, mul_one, Finset.sum_neg_distrib,
Finset.sum_singleton, ← image_comp, Function.comp, image_neg, preimage_neg_Icc, neg_zero]
#align parallelepiped_orthonormal_basis_one_dim parallelepiped_orthonormalBasis_one_dim
| Mathlib/MeasureTheory/Measure/Haar/OfBasis.lean | 128 | 138 | theorem parallelepiped_eq_sum_segment (v : ι → E) : parallelepiped v = ∑ i, segment ℝ 0 (v i) := by |
ext
simp only [mem_parallelepiped_iff, Set.mem_finset_sum, Finset.mem_univ, forall_true_left,
segment_eq_image, smul_zero, zero_add, ← Set.pi_univ_Icc, Set.mem_univ_pi]
constructor
· rintro ⟨t, ht, rfl⟩
exact ⟨t • v, fun {i} => ⟨t i, ht _, by simp⟩, rfl⟩
rintro ⟨g, hg, rfl⟩
choose t ht hg using @hg
refine ⟨@t, @ht, ?_⟩
simp_rw [hg]
| 10 | 22,026.465795 | 2 | 1.5 | 6 | 1,672 |
import Mathlib.Topology.PartialHomeomorph
import Mathlib.Topology.SeparatedMap
#align_import topology.is_locally_homeomorph from "leanprover-community/mathlib"@"e97cf15cd1aec9bd5c193b2ffac5a6dc9118912b"
open Topology
variable {X Y Z : Type*} [TopologicalSpace X] [TopologicalSpace Y] [TopologicalSpace Z] (g : Y → Z)
(f : X → Y) (s : Set X) (t : Set Y)
def IsLocalHomeomorphOn :=
∀ x ∈ s, ∃ e : PartialHomeomorph X Y, x ∈ e.source ∧ f = e
#align is_locally_homeomorph_on IsLocalHomeomorphOn
| Mathlib/Topology/IsLocalHomeomorph.lean | 45 | 59 | theorem isLocalHomeomorphOn_iff_openEmbedding_restrict {f : X → Y} :
IsLocalHomeomorphOn f s ↔ ∀ x ∈ s, ∃ U ∈ 𝓝 x, OpenEmbedding (U.restrict f) := by |
refine ⟨fun h x hx ↦ ?_, fun h x hx ↦ ?_⟩
· obtain ⟨e, hxe, rfl⟩ := h x hx
exact ⟨e.source, e.open_source.mem_nhds hxe, e.openEmbedding_restrict⟩
· obtain ⟨U, hU, emb⟩ := h x hx
have : OpenEmbedding ((interior U).restrict f) := by
refine emb.comp ⟨embedding_inclusion interior_subset, ?_⟩
rw [Set.range_inclusion]; exact isOpen_induced isOpen_interior
obtain ⟨cont, inj, openMap⟩ := openEmbedding_iff_continuous_injective_open.mp this
haveI : Nonempty X := ⟨x⟩
exact ⟨PartialHomeomorph.ofContinuousOpenRestrict
(Set.injOn_iff_injective.mpr inj).toPartialEquiv
(continuousOn_iff_continuous_restrict.mpr cont) openMap isOpen_interior,
mem_interior_iff_mem_nhds.mpr hU, rfl⟩
| 13 | 442,413.392009 | 2 | 1.5 | 4 | 1,673 |
import Mathlib.Topology.PartialHomeomorph
import Mathlib.Topology.SeparatedMap
#align_import topology.is_locally_homeomorph from "leanprover-community/mathlib"@"e97cf15cd1aec9bd5c193b2ffac5a6dc9118912b"
open Topology
variable {X Y Z : Type*} [TopologicalSpace X] [TopologicalSpace Y] [TopologicalSpace Z] (g : Y → Z)
(f : X → Y) (s : Set X) (t : Set Y)
def IsLocalHomeomorphOn :=
∀ x ∈ s, ∃ e : PartialHomeomorph X Y, x ∈ e.source ∧ f = e
#align is_locally_homeomorph_on IsLocalHomeomorphOn
theorem isLocalHomeomorphOn_iff_openEmbedding_restrict {f : X → Y} :
IsLocalHomeomorphOn f s ↔ ∀ x ∈ s, ∃ U ∈ 𝓝 x, OpenEmbedding (U.restrict f) := by
refine ⟨fun h x hx ↦ ?_, fun h x hx ↦ ?_⟩
· obtain ⟨e, hxe, rfl⟩ := h x hx
exact ⟨e.source, e.open_source.mem_nhds hxe, e.openEmbedding_restrict⟩
· obtain ⟨U, hU, emb⟩ := h x hx
have : OpenEmbedding ((interior U).restrict f) := by
refine emb.comp ⟨embedding_inclusion interior_subset, ?_⟩
rw [Set.range_inclusion]; exact isOpen_induced isOpen_interior
obtain ⟨cont, inj, openMap⟩ := openEmbedding_iff_continuous_injective_open.mp this
haveI : Nonempty X := ⟨x⟩
exact ⟨PartialHomeomorph.ofContinuousOpenRestrict
(Set.injOn_iff_injective.mpr inj).toPartialEquiv
(continuousOn_iff_continuous_restrict.mpr cont) openMap isOpen_interior,
mem_interior_iff_mem_nhds.mpr hU, rfl⟩
namespace IsLocalHomeomorphOn
| Mathlib/Topology/IsLocalHomeomorph.lean | 66 | 77 | theorem mk (h : ∀ x ∈ s, ∃ e : PartialHomeomorph X Y, x ∈ e.source ∧ Set.EqOn f e e.source) :
IsLocalHomeomorphOn f s := by |
intro x hx
obtain ⟨e, hx, he⟩ := h x hx
exact
⟨{ e with
toFun := f
map_source' := fun _x hx ↦ by rw [he hx]; exact e.map_source' hx
left_inv' := fun _x hx ↦ by rw [he hx]; exact e.left_inv' hx
right_inv' := fun _y hy ↦ by rw [he (e.map_target' hy)]; exact e.right_inv' hy
continuousOn_toFun := (continuousOn_congr he).mpr e.continuousOn_toFun },
hx, rfl⟩
| 10 | 22,026.465795 | 2 | 1.5 | 4 | 1,673 |
import Mathlib.Topology.PartialHomeomorph
import Mathlib.Topology.SeparatedMap
#align_import topology.is_locally_homeomorph from "leanprover-community/mathlib"@"e97cf15cd1aec9bd5c193b2ffac5a6dc9118912b"
open Topology
variable {X Y Z : Type*} [TopologicalSpace X] [TopologicalSpace Y] [TopologicalSpace Z] (g : Y → Z)
(f : X → Y) (s : Set X) (t : Set Y)
def IsLocalHomeomorphOn :=
∀ x ∈ s, ∃ e : PartialHomeomorph X Y, x ∈ e.source ∧ f = e
#align is_locally_homeomorph_on IsLocalHomeomorphOn
theorem isLocalHomeomorphOn_iff_openEmbedding_restrict {f : X → Y} :
IsLocalHomeomorphOn f s ↔ ∀ x ∈ s, ∃ U ∈ 𝓝 x, OpenEmbedding (U.restrict f) := by
refine ⟨fun h x hx ↦ ?_, fun h x hx ↦ ?_⟩
· obtain ⟨e, hxe, rfl⟩ := h x hx
exact ⟨e.source, e.open_source.mem_nhds hxe, e.openEmbedding_restrict⟩
· obtain ⟨U, hU, emb⟩ := h x hx
have : OpenEmbedding ((interior U).restrict f) := by
refine emb.comp ⟨embedding_inclusion interior_subset, ?_⟩
rw [Set.range_inclusion]; exact isOpen_induced isOpen_interior
obtain ⟨cont, inj, openMap⟩ := openEmbedding_iff_continuous_injective_open.mp this
haveI : Nonempty X := ⟨x⟩
exact ⟨PartialHomeomorph.ofContinuousOpenRestrict
(Set.injOn_iff_injective.mpr inj).toPartialEquiv
(continuousOn_iff_continuous_restrict.mpr cont) openMap isOpen_interior,
mem_interior_iff_mem_nhds.mpr hU, rfl⟩
namespace IsLocalHomeomorphOn
theorem mk (h : ∀ x ∈ s, ∃ e : PartialHomeomorph X Y, x ∈ e.source ∧ Set.EqOn f e e.source) :
IsLocalHomeomorphOn f s := by
intro x hx
obtain ⟨e, hx, he⟩ := h x hx
exact
⟨{ e with
toFun := f
map_source' := fun _x hx ↦ by rw [he hx]; exact e.map_source' hx
left_inv' := fun _x hx ↦ by rw [he hx]; exact e.left_inv' hx
right_inv' := fun _y hy ↦ by rw [he (e.map_target' hy)]; exact e.right_inv' hy
continuousOn_toFun := (continuousOn_congr he).mpr e.continuousOn_toFun },
hx, rfl⟩
#align is_locally_homeomorph_on.mk IsLocalHomeomorphOn.mk
lemma PartialHomeomorph.isLocalHomeomorphOn (e : PartialHomeomorph X Y) :
IsLocalHomeomorphOn e e.source :=
fun _ hx ↦ ⟨e, hx, rfl⟩
variable {g f s t}
theorem mono {t : Set X} (hf : IsLocalHomeomorphOn f t) (hst : s ⊆ t) : IsLocalHomeomorphOn f s :=
fun x hx ↦ hf x (hst hx)
| Mathlib/Topology/IsLocalHomeomorph.lean | 90 | 99 | theorem of_comp_left (hgf : IsLocalHomeomorphOn (g ∘ f) s) (hg : IsLocalHomeomorphOn g (f '' s))
(cont : ∀ x ∈ s, ContinuousAt f x) : IsLocalHomeomorphOn f s := mk f s fun x hx ↦ by
obtain ⟨g, hxg, rfl⟩ := hg (f x) ⟨x, hx, rfl⟩
obtain ⟨gf, hgf, he⟩ := hgf x hx
refine ⟨(gf.restr <| f ⁻¹' g.source).trans g.symm, ⟨⟨hgf, mem_interior_iff_mem_nhds.mpr
((cont x hx).preimage_mem_nhds <| g.open_source.mem_nhds hxg)⟩, he ▸ g.map_source hxg⟩,
fun y hy ↦ ?_⟩
change f y = g.symm (gf y)
have : f y ∈ g.source := by | apply interior_subset hy.1.2
rw [← he, g.eq_symm_apply this (by apply g.map_source this), Function.comp_apply]
| 2 | 7.389056 | 1 | 1.5 | 4 | 1,673 |
import Mathlib.Topology.PartialHomeomorph
import Mathlib.Topology.SeparatedMap
#align_import topology.is_locally_homeomorph from "leanprover-community/mathlib"@"e97cf15cd1aec9bd5c193b2ffac5a6dc9118912b"
open Topology
variable {X Y Z : Type*} [TopologicalSpace X] [TopologicalSpace Y] [TopologicalSpace Z] (g : Y → Z)
(f : X → Y) (s : Set X) (t : Set Y)
def IsLocalHomeomorphOn :=
∀ x ∈ s, ∃ e : PartialHomeomorph X Y, x ∈ e.source ∧ f = e
#align is_locally_homeomorph_on IsLocalHomeomorphOn
theorem isLocalHomeomorphOn_iff_openEmbedding_restrict {f : X → Y} :
IsLocalHomeomorphOn f s ↔ ∀ x ∈ s, ∃ U ∈ 𝓝 x, OpenEmbedding (U.restrict f) := by
refine ⟨fun h x hx ↦ ?_, fun h x hx ↦ ?_⟩
· obtain ⟨e, hxe, rfl⟩ := h x hx
exact ⟨e.source, e.open_source.mem_nhds hxe, e.openEmbedding_restrict⟩
· obtain ⟨U, hU, emb⟩ := h x hx
have : OpenEmbedding ((interior U).restrict f) := by
refine emb.comp ⟨embedding_inclusion interior_subset, ?_⟩
rw [Set.range_inclusion]; exact isOpen_induced isOpen_interior
obtain ⟨cont, inj, openMap⟩ := openEmbedding_iff_continuous_injective_open.mp this
haveI : Nonempty X := ⟨x⟩
exact ⟨PartialHomeomorph.ofContinuousOpenRestrict
(Set.injOn_iff_injective.mpr inj).toPartialEquiv
(continuousOn_iff_continuous_restrict.mpr cont) openMap isOpen_interior,
mem_interior_iff_mem_nhds.mpr hU, rfl⟩
def IsLocalHomeomorph :=
∀ x : X, ∃ e : PartialHomeomorph X Y, x ∈ e.source ∧ f = e
#align is_locally_homeomorph IsLocalHomeomorph
theorem Homeomorph.isLocalHomeomorph (f : X ≃ₜ Y) : IsLocalHomeomorph f :=
fun _ ↦ ⟨f.toPartialHomeomorph, trivial, rfl⟩
variable {f s}
theorem isLocalHomeomorph_iff_isLocalHomeomorphOn_univ :
IsLocalHomeomorph f ↔ IsLocalHomeomorphOn f Set.univ :=
⟨fun h x _ ↦ h x, fun h x ↦ h x trivial⟩
#align is_locally_homeomorph_iff_is_locally_homeomorph_on_univ isLocalHomeomorph_iff_isLocalHomeomorphOn_univ
protected theorem IsLocalHomeomorph.isLocalHomeomorphOn (hf : IsLocalHomeomorph f) :
IsLocalHomeomorphOn f s := fun x _ ↦ hf x
#align is_locally_homeomorph.is_locally_homeomorph_on IsLocalHomeomorph.isLocalHomeomorphOn
| Mathlib/Topology/IsLocalHomeomorph.lean | 155 | 158 | theorem isLocalHomeomorph_iff_openEmbedding_restrict {f : X → Y} :
IsLocalHomeomorph f ↔ ∀ x : X, ∃ U ∈ 𝓝 x, OpenEmbedding (U.restrict f) := by |
simp_rw [isLocalHomeomorph_iff_isLocalHomeomorphOn_univ,
isLocalHomeomorphOn_iff_openEmbedding_restrict, imp_iff_right (Set.mem_univ _)]
| 2 | 7.389056 | 1 | 1.5 | 4 | 1,673 |
import Mathlib.Algebra.Order.Monoid.Canonical.Defs
import Mathlib.Data.List.Infix
import Mathlib.Data.List.MinMax
import Mathlib.Data.List.EditDistance.Defs
set_option autoImplicit true
variable {C : Levenshtein.Cost α β δ} [CanonicallyLinearOrderedAddCommMonoid δ]
| Mathlib/Data/List/EditDistance/Bounds.lean | 26 | 56 | theorem suffixLevenshtein_minimum_le_levenshtein_cons (xs : List α) (y ys) :
(suffixLevenshtein C xs ys).1.minimum ≤ levenshtein C xs (y :: ys) := by |
induction xs with
| nil =>
simp only [suffixLevenshtein_nil', levenshtein_nil_cons,
List.minimum_singleton, WithTop.coe_le_coe]
exact le_add_of_nonneg_left (by simp)
| cons x xs ih =>
suffices
(suffixLevenshtein C (x :: xs) ys).1.minimum ≤ (C.delete x + levenshtein C xs (y :: ys)) ∧
(suffixLevenshtein C (x :: xs) ys).1.minimum ≤ (C.insert y + levenshtein C (x :: xs) ys) ∧
(suffixLevenshtein C (x :: xs) ys).1.minimum ≤ (C.substitute x y + levenshtein C xs ys) by
simpa [suffixLevenshtein_eq_tails_map]
refine ⟨?_, ?_, ?_⟩
· calc
_ ≤ (suffixLevenshtein C xs ys).1.minimum := by
simp [suffixLevenshtein_cons₁_fst, List.minimum_cons]
_ ≤ ↑(levenshtein C xs (y :: ys)) := ih
_ ≤ _ := by simp
· calc
(suffixLevenshtein C (x :: xs) ys).1.minimum ≤ (levenshtein C (x :: xs) ys) := by
simp [suffixLevenshtein_cons₁_fst, List.minimum_cons]
_ ≤ _ := by simp
· calc
(suffixLevenshtein C (x :: xs) ys).1.minimum ≤ (levenshtein C xs ys) := by
simp only [suffixLevenshtein_cons₁_fst, List.minimum_cons]
apply min_le_of_right_le
cases xs
· simp [suffixLevenshtein_nil']
· simp [suffixLevenshtein_cons₁, List.minimum_cons]
_ ≤ _ := by simp
| 29 | 3,931,334,297,144.042 | 2 | 1.5 | 6 | 1,674 |
import Mathlib.Algebra.Order.Monoid.Canonical.Defs
import Mathlib.Data.List.Infix
import Mathlib.Data.List.MinMax
import Mathlib.Data.List.EditDistance.Defs
set_option autoImplicit true
variable {C : Levenshtein.Cost α β δ} [CanonicallyLinearOrderedAddCommMonoid δ]
theorem suffixLevenshtein_minimum_le_levenshtein_cons (xs : List α) (y ys) :
(suffixLevenshtein C xs ys).1.minimum ≤ levenshtein C xs (y :: ys) := by
induction xs with
| nil =>
simp only [suffixLevenshtein_nil', levenshtein_nil_cons,
List.minimum_singleton, WithTop.coe_le_coe]
exact le_add_of_nonneg_left (by simp)
| cons x xs ih =>
suffices
(suffixLevenshtein C (x :: xs) ys).1.minimum ≤ (C.delete x + levenshtein C xs (y :: ys)) ∧
(suffixLevenshtein C (x :: xs) ys).1.minimum ≤ (C.insert y + levenshtein C (x :: xs) ys) ∧
(suffixLevenshtein C (x :: xs) ys).1.minimum ≤ (C.substitute x y + levenshtein C xs ys) by
simpa [suffixLevenshtein_eq_tails_map]
refine ⟨?_, ?_, ?_⟩
· calc
_ ≤ (suffixLevenshtein C xs ys).1.minimum := by
simp [suffixLevenshtein_cons₁_fst, List.minimum_cons]
_ ≤ ↑(levenshtein C xs (y :: ys)) := ih
_ ≤ _ := by simp
· calc
(suffixLevenshtein C (x :: xs) ys).1.minimum ≤ (levenshtein C (x :: xs) ys) := by
simp [suffixLevenshtein_cons₁_fst, List.minimum_cons]
_ ≤ _ := by simp
· calc
(suffixLevenshtein C (x :: xs) ys).1.minimum ≤ (levenshtein C xs ys) := by
simp only [suffixLevenshtein_cons₁_fst, List.minimum_cons]
apply min_le_of_right_le
cases xs
· simp [suffixLevenshtein_nil']
· simp [suffixLevenshtein_cons₁, List.minimum_cons]
_ ≤ _ := by simp
| Mathlib/Data/List/EditDistance/Bounds.lean | 58 | 73 | theorem le_suffixLevenshtein_cons_minimum (xs : List α) (y ys) :
(suffixLevenshtein C xs ys).1.minimum ≤ (suffixLevenshtein C xs (y :: ys)).1.minimum := by |
apply List.le_minimum_of_forall_le
simp only [suffixLevenshtein_eq_tails_map]
simp only [List.mem_map, List.mem_tails, forall_exists_index, and_imp, forall_apply_eq_imp_iff₂]
intro a suff
refine (?_ : _ ≤ _).trans (suffixLevenshtein_minimum_le_levenshtein_cons _ _ _)
simp only [suffixLevenshtein_eq_tails_map]
apply List.le_minimum_of_forall_le
intro b m
replace m : ∃ a_1, a_1 <:+ a ∧ levenshtein C a_1 ys = b := by simpa using m
obtain ⟨a', suff', rfl⟩ := m
apply List.minimum_le_of_mem'
simp only [List.mem_map, List.mem_tails]
suffices ∃ a, a <:+ xs ∧ levenshtein C a ys = levenshtein C a' ys by simpa
exact ⟨a', suff'.trans suff, rfl⟩
| 14 | 1,202,604.284165 | 2 | 1.5 | 6 | 1,674 |
import Mathlib.Algebra.Order.Monoid.Canonical.Defs
import Mathlib.Data.List.Infix
import Mathlib.Data.List.MinMax
import Mathlib.Data.List.EditDistance.Defs
set_option autoImplicit true
variable {C : Levenshtein.Cost α β δ} [CanonicallyLinearOrderedAddCommMonoid δ]
theorem suffixLevenshtein_minimum_le_levenshtein_cons (xs : List α) (y ys) :
(suffixLevenshtein C xs ys).1.minimum ≤ levenshtein C xs (y :: ys) := by
induction xs with
| nil =>
simp only [suffixLevenshtein_nil', levenshtein_nil_cons,
List.minimum_singleton, WithTop.coe_le_coe]
exact le_add_of_nonneg_left (by simp)
| cons x xs ih =>
suffices
(suffixLevenshtein C (x :: xs) ys).1.minimum ≤ (C.delete x + levenshtein C xs (y :: ys)) ∧
(suffixLevenshtein C (x :: xs) ys).1.minimum ≤ (C.insert y + levenshtein C (x :: xs) ys) ∧
(suffixLevenshtein C (x :: xs) ys).1.minimum ≤ (C.substitute x y + levenshtein C xs ys) by
simpa [suffixLevenshtein_eq_tails_map]
refine ⟨?_, ?_, ?_⟩
· calc
_ ≤ (suffixLevenshtein C xs ys).1.minimum := by
simp [suffixLevenshtein_cons₁_fst, List.minimum_cons]
_ ≤ ↑(levenshtein C xs (y :: ys)) := ih
_ ≤ _ := by simp
· calc
(suffixLevenshtein C (x :: xs) ys).1.minimum ≤ (levenshtein C (x :: xs) ys) := by
simp [suffixLevenshtein_cons₁_fst, List.minimum_cons]
_ ≤ _ := by simp
· calc
(suffixLevenshtein C (x :: xs) ys).1.minimum ≤ (levenshtein C xs ys) := by
simp only [suffixLevenshtein_cons₁_fst, List.minimum_cons]
apply min_le_of_right_le
cases xs
· simp [suffixLevenshtein_nil']
· simp [suffixLevenshtein_cons₁, List.minimum_cons]
_ ≤ _ := by simp
theorem le_suffixLevenshtein_cons_minimum (xs : List α) (y ys) :
(suffixLevenshtein C xs ys).1.minimum ≤ (suffixLevenshtein C xs (y :: ys)).1.minimum := by
apply List.le_minimum_of_forall_le
simp only [suffixLevenshtein_eq_tails_map]
simp only [List.mem_map, List.mem_tails, forall_exists_index, and_imp, forall_apply_eq_imp_iff₂]
intro a suff
refine (?_ : _ ≤ _).trans (suffixLevenshtein_minimum_le_levenshtein_cons _ _ _)
simp only [suffixLevenshtein_eq_tails_map]
apply List.le_minimum_of_forall_le
intro b m
replace m : ∃ a_1, a_1 <:+ a ∧ levenshtein C a_1 ys = b := by simpa using m
obtain ⟨a', suff', rfl⟩ := m
apply List.minimum_le_of_mem'
simp only [List.mem_map, List.mem_tails]
suffices ∃ a, a <:+ xs ∧ levenshtein C a ys = levenshtein C a' ys by simpa
exact ⟨a', suff'.trans suff, rfl⟩
| Mathlib/Data/List/EditDistance/Bounds.lean | 75 | 79 | theorem le_suffixLevenshtein_append_minimum (xs : List α) (ys₁ ys₂) :
(suffixLevenshtein C xs ys₂).1.minimum ≤ (suffixLevenshtein C xs (ys₁ ++ ys₂)).1.minimum := by |
induction ys₁ with
| nil => exact le_refl _
| cons y ys₁ ih => exact ih.trans (le_suffixLevenshtein_cons_minimum _ _ _)
| 3 | 20.085537 | 1 | 1.5 | 6 | 1,674 |
import Mathlib.Algebra.Order.Monoid.Canonical.Defs
import Mathlib.Data.List.Infix
import Mathlib.Data.List.MinMax
import Mathlib.Data.List.EditDistance.Defs
set_option autoImplicit true
variable {C : Levenshtein.Cost α β δ} [CanonicallyLinearOrderedAddCommMonoid δ]
theorem suffixLevenshtein_minimum_le_levenshtein_cons (xs : List α) (y ys) :
(suffixLevenshtein C xs ys).1.minimum ≤ levenshtein C xs (y :: ys) := by
induction xs with
| nil =>
simp only [suffixLevenshtein_nil', levenshtein_nil_cons,
List.minimum_singleton, WithTop.coe_le_coe]
exact le_add_of_nonneg_left (by simp)
| cons x xs ih =>
suffices
(suffixLevenshtein C (x :: xs) ys).1.minimum ≤ (C.delete x + levenshtein C xs (y :: ys)) ∧
(suffixLevenshtein C (x :: xs) ys).1.minimum ≤ (C.insert y + levenshtein C (x :: xs) ys) ∧
(suffixLevenshtein C (x :: xs) ys).1.minimum ≤ (C.substitute x y + levenshtein C xs ys) by
simpa [suffixLevenshtein_eq_tails_map]
refine ⟨?_, ?_, ?_⟩
· calc
_ ≤ (suffixLevenshtein C xs ys).1.minimum := by
simp [suffixLevenshtein_cons₁_fst, List.minimum_cons]
_ ≤ ↑(levenshtein C xs (y :: ys)) := ih
_ ≤ _ := by simp
· calc
(suffixLevenshtein C (x :: xs) ys).1.minimum ≤ (levenshtein C (x :: xs) ys) := by
simp [suffixLevenshtein_cons₁_fst, List.minimum_cons]
_ ≤ _ := by simp
· calc
(suffixLevenshtein C (x :: xs) ys).1.minimum ≤ (levenshtein C xs ys) := by
simp only [suffixLevenshtein_cons₁_fst, List.minimum_cons]
apply min_le_of_right_le
cases xs
· simp [suffixLevenshtein_nil']
· simp [suffixLevenshtein_cons₁, List.minimum_cons]
_ ≤ _ := by simp
theorem le_suffixLevenshtein_cons_minimum (xs : List α) (y ys) :
(suffixLevenshtein C xs ys).1.minimum ≤ (suffixLevenshtein C xs (y :: ys)).1.minimum := by
apply List.le_minimum_of_forall_le
simp only [suffixLevenshtein_eq_tails_map]
simp only [List.mem_map, List.mem_tails, forall_exists_index, and_imp, forall_apply_eq_imp_iff₂]
intro a suff
refine (?_ : _ ≤ _).trans (suffixLevenshtein_minimum_le_levenshtein_cons _ _ _)
simp only [suffixLevenshtein_eq_tails_map]
apply List.le_minimum_of_forall_le
intro b m
replace m : ∃ a_1, a_1 <:+ a ∧ levenshtein C a_1 ys = b := by simpa using m
obtain ⟨a', suff', rfl⟩ := m
apply List.minimum_le_of_mem'
simp only [List.mem_map, List.mem_tails]
suffices ∃ a, a <:+ xs ∧ levenshtein C a ys = levenshtein C a' ys by simpa
exact ⟨a', suff'.trans suff, rfl⟩
theorem le_suffixLevenshtein_append_minimum (xs : List α) (ys₁ ys₂) :
(suffixLevenshtein C xs ys₂).1.minimum ≤ (suffixLevenshtein C xs (ys₁ ++ ys₂)).1.minimum := by
induction ys₁ with
| nil => exact le_refl _
| cons y ys₁ ih => exact ih.trans (le_suffixLevenshtein_cons_minimum _ _ _)
| Mathlib/Data/List/EditDistance/Bounds.lean | 81 | 87 | theorem suffixLevenshtein_minimum_le_levenshtein_append (xs ys₁ ys₂) :
(suffixLevenshtein C xs ys₂).1.minimum ≤ levenshtein C xs (ys₁ ++ ys₂) := by |
cases ys₁ with
| nil => exact List.minimum_le_of_mem' (List.get_mem _ _ _)
| cons y ys₁ =>
exact (le_suffixLevenshtein_append_minimum _ _ _).trans
(suffixLevenshtein_minimum_le_levenshtein_cons _ _ _)
| 5 | 148.413159 | 2 | 1.5 | 6 | 1,674 |
import Mathlib.Algebra.Order.Monoid.Canonical.Defs
import Mathlib.Data.List.Infix
import Mathlib.Data.List.MinMax
import Mathlib.Data.List.EditDistance.Defs
set_option autoImplicit true
variable {C : Levenshtein.Cost α β δ} [CanonicallyLinearOrderedAddCommMonoid δ]
theorem suffixLevenshtein_minimum_le_levenshtein_cons (xs : List α) (y ys) :
(suffixLevenshtein C xs ys).1.minimum ≤ levenshtein C xs (y :: ys) := by
induction xs with
| nil =>
simp only [suffixLevenshtein_nil', levenshtein_nil_cons,
List.minimum_singleton, WithTop.coe_le_coe]
exact le_add_of_nonneg_left (by simp)
| cons x xs ih =>
suffices
(suffixLevenshtein C (x :: xs) ys).1.minimum ≤ (C.delete x + levenshtein C xs (y :: ys)) ∧
(suffixLevenshtein C (x :: xs) ys).1.minimum ≤ (C.insert y + levenshtein C (x :: xs) ys) ∧
(suffixLevenshtein C (x :: xs) ys).1.minimum ≤ (C.substitute x y + levenshtein C xs ys) by
simpa [suffixLevenshtein_eq_tails_map]
refine ⟨?_, ?_, ?_⟩
· calc
_ ≤ (suffixLevenshtein C xs ys).1.minimum := by
simp [suffixLevenshtein_cons₁_fst, List.minimum_cons]
_ ≤ ↑(levenshtein C xs (y :: ys)) := ih
_ ≤ _ := by simp
· calc
(suffixLevenshtein C (x :: xs) ys).1.minimum ≤ (levenshtein C (x :: xs) ys) := by
simp [suffixLevenshtein_cons₁_fst, List.minimum_cons]
_ ≤ _ := by simp
· calc
(suffixLevenshtein C (x :: xs) ys).1.minimum ≤ (levenshtein C xs ys) := by
simp only [suffixLevenshtein_cons₁_fst, List.minimum_cons]
apply min_le_of_right_le
cases xs
· simp [suffixLevenshtein_nil']
· simp [suffixLevenshtein_cons₁, List.minimum_cons]
_ ≤ _ := by simp
theorem le_suffixLevenshtein_cons_minimum (xs : List α) (y ys) :
(suffixLevenshtein C xs ys).1.minimum ≤ (suffixLevenshtein C xs (y :: ys)).1.minimum := by
apply List.le_minimum_of_forall_le
simp only [suffixLevenshtein_eq_tails_map]
simp only [List.mem_map, List.mem_tails, forall_exists_index, and_imp, forall_apply_eq_imp_iff₂]
intro a suff
refine (?_ : _ ≤ _).trans (suffixLevenshtein_minimum_le_levenshtein_cons _ _ _)
simp only [suffixLevenshtein_eq_tails_map]
apply List.le_minimum_of_forall_le
intro b m
replace m : ∃ a_1, a_1 <:+ a ∧ levenshtein C a_1 ys = b := by simpa using m
obtain ⟨a', suff', rfl⟩ := m
apply List.minimum_le_of_mem'
simp only [List.mem_map, List.mem_tails]
suffices ∃ a, a <:+ xs ∧ levenshtein C a ys = levenshtein C a' ys by simpa
exact ⟨a', suff'.trans suff, rfl⟩
theorem le_suffixLevenshtein_append_minimum (xs : List α) (ys₁ ys₂) :
(suffixLevenshtein C xs ys₂).1.minimum ≤ (suffixLevenshtein C xs (ys₁ ++ ys₂)).1.minimum := by
induction ys₁ with
| nil => exact le_refl _
| cons y ys₁ ih => exact ih.trans (le_suffixLevenshtein_cons_minimum _ _ _)
theorem suffixLevenshtein_minimum_le_levenshtein_append (xs ys₁ ys₂) :
(suffixLevenshtein C xs ys₂).1.minimum ≤ levenshtein C xs (ys₁ ++ ys₂) := by
cases ys₁ with
| nil => exact List.minimum_le_of_mem' (List.get_mem _ _ _)
| cons y ys₁ =>
exact (le_suffixLevenshtein_append_minimum _ _ _).trans
(suffixLevenshtein_minimum_le_levenshtein_cons _ _ _)
| Mathlib/Data/List/EditDistance/Bounds.lean | 89 | 92 | theorem le_levenshtein_cons (xs : List α) (y ys) :
∃ xs', xs' <:+ xs ∧ levenshtein C xs' ys ≤ levenshtein C xs (y :: ys) := by |
simpa [suffixLevenshtein_eq_tails_map, List.minimum_le_coe_iff] using
suffixLevenshtein_minimum_le_levenshtein_cons (δ := δ) xs y ys
| 2 | 7.389056 | 1 | 1.5 | 6 | 1,674 |
import Mathlib.Algebra.Order.Monoid.Canonical.Defs
import Mathlib.Data.List.Infix
import Mathlib.Data.List.MinMax
import Mathlib.Data.List.EditDistance.Defs
set_option autoImplicit true
variable {C : Levenshtein.Cost α β δ} [CanonicallyLinearOrderedAddCommMonoid δ]
theorem suffixLevenshtein_minimum_le_levenshtein_cons (xs : List α) (y ys) :
(suffixLevenshtein C xs ys).1.minimum ≤ levenshtein C xs (y :: ys) := by
induction xs with
| nil =>
simp only [suffixLevenshtein_nil', levenshtein_nil_cons,
List.minimum_singleton, WithTop.coe_le_coe]
exact le_add_of_nonneg_left (by simp)
| cons x xs ih =>
suffices
(suffixLevenshtein C (x :: xs) ys).1.minimum ≤ (C.delete x + levenshtein C xs (y :: ys)) ∧
(suffixLevenshtein C (x :: xs) ys).1.minimum ≤ (C.insert y + levenshtein C (x :: xs) ys) ∧
(suffixLevenshtein C (x :: xs) ys).1.minimum ≤ (C.substitute x y + levenshtein C xs ys) by
simpa [suffixLevenshtein_eq_tails_map]
refine ⟨?_, ?_, ?_⟩
· calc
_ ≤ (suffixLevenshtein C xs ys).1.minimum := by
simp [suffixLevenshtein_cons₁_fst, List.minimum_cons]
_ ≤ ↑(levenshtein C xs (y :: ys)) := ih
_ ≤ _ := by simp
· calc
(suffixLevenshtein C (x :: xs) ys).1.minimum ≤ (levenshtein C (x :: xs) ys) := by
simp [suffixLevenshtein_cons₁_fst, List.minimum_cons]
_ ≤ _ := by simp
· calc
(suffixLevenshtein C (x :: xs) ys).1.minimum ≤ (levenshtein C xs ys) := by
simp only [suffixLevenshtein_cons₁_fst, List.minimum_cons]
apply min_le_of_right_le
cases xs
· simp [suffixLevenshtein_nil']
· simp [suffixLevenshtein_cons₁, List.minimum_cons]
_ ≤ _ := by simp
theorem le_suffixLevenshtein_cons_minimum (xs : List α) (y ys) :
(suffixLevenshtein C xs ys).1.minimum ≤ (suffixLevenshtein C xs (y :: ys)).1.minimum := by
apply List.le_minimum_of_forall_le
simp only [suffixLevenshtein_eq_tails_map]
simp only [List.mem_map, List.mem_tails, forall_exists_index, and_imp, forall_apply_eq_imp_iff₂]
intro a suff
refine (?_ : _ ≤ _).trans (suffixLevenshtein_minimum_le_levenshtein_cons _ _ _)
simp only [suffixLevenshtein_eq_tails_map]
apply List.le_minimum_of_forall_le
intro b m
replace m : ∃ a_1, a_1 <:+ a ∧ levenshtein C a_1 ys = b := by simpa using m
obtain ⟨a', suff', rfl⟩ := m
apply List.minimum_le_of_mem'
simp only [List.mem_map, List.mem_tails]
suffices ∃ a, a <:+ xs ∧ levenshtein C a ys = levenshtein C a' ys by simpa
exact ⟨a', suff'.trans suff, rfl⟩
theorem le_suffixLevenshtein_append_minimum (xs : List α) (ys₁ ys₂) :
(suffixLevenshtein C xs ys₂).1.minimum ≤ (suffixLevenshtein C xs (ys₁ ++ ys₂)).1.minimum := by
induction ys₁ with
| nil => exact le_refl _
| cons y ys₁ ih => exact ih.trans (le_suffixLevenshtein_cons_minimum _ _ _)
theorem suffixLevenshtein_minimum_le_levenshtein_append (xs ys₁ ys₂) :
(suffixLevenshtein C xs ys₂).1.minimum ≤ levenshtein C xs (ys₁ ++ ys₂) := by
cases ys₁ with
| nil => exact List.minimum_le_of_mem' (List.get_mem _ _ _)
| cons y ys₁ =>
exact (le_suffixLevenshtein_append_minimum _ _ _).trans
(suffixLevenshtein_minimum_le_levenshtein_cons _ _ _)
theorem le_levenshtein_cons (xs : List α) (y ys) :
∃ xs', xs' <:+ xs ∧ levenshtein C xs' ys ≤ levenshtein C xs (y :: ys) := by
simpa [suffixLevenshtein_eq_tails_map, List.minimum_le_coe_iff] using
suffixLevenshtein_minimum_le_levenshtein_cons (δ := δ) xs y ys
| Mathlib/Data/List/EditDistance/Bounds.lean | 94 | 97 | theorem le_levenshtein_append (xs : List α) (ys₁ ys₂) :
∃ xs', xs' <:+ xs ∧ levenshtein C xs' ys₂ ≤ levenshtein C xs (ys₁ ++ ys₂) := by |
simpa [suffixLevenshtein_eq_tails_map, List.minimum_le_coe_iff] using
suffixLevenshtein_minimum_le_levenshtein_append (δ := δ) xs ys₁ ys₂
| 2 | 7.389056 | 1 | 1.5 | 6 | 1,674 |
import Mathlib.MeasureTheory.Function.LpSeminorm.Basic
#align_import measure_theory.function.lp_seminorm from "leanprover-community/mathlib"@"c4015acc0a223449d44061e27ddac1835a3852b9"
open scoped ENNReal
namespace MeasureTheory
variable {α E : Type*} {m0 : MeasurableSpace α} [NormedAddCommGroup E]
{p : ℝ≥0∞} (μ : Measure α) {f : α → E}
| Mathlib/MeasureTheory/Function/LpSeminorm/ChebyshevMarkov.lean | 23 | 28 | theorem pow_mul_meas_ge_le_snorm (hp_ne_zero : p ≠ 0) (hp_ne_top : p ≠ ∞)
(hf : AEStronglyMeasurable f μ) (ε : ℝ≥0∞) :
(ε * μ { x | ε ≤ (‖f x‖₊ : ℝ≥0∞) ^ p.toReal }) ^ (1 / p.toReal) ≤ snorm f p μ := by |
rw [snorm_eq_lintegral_rpow_nnnorm hp_ne_zero hp_ne_top]
gcongr
exact mul_meas_ge_le_lintegral₀ (hf.ennnorm.pow_const _) ε
| 3 | 20.085537 | 1 | 1.5 | 4 | 1,675 |
import Mathlib.MeasureTheory.Function.LpSeminorm.Basic
#align_import measure_theory.function.lp_seminorm from "leanprover-community/mathlib"@"c4015acc0a223449d44061e27ddac1835a3852b9"
open scoped ENNReal
namespace MeasureTheory
variable {α E : Type*} {m0 : MeasurableSpace α} [NormedAddCommGroup E]
{p : ℝ≥0∞} (μ : Measure α) {f : α → E}
theorem pow_mul_meas_ge_le_snorm (hp_ne_zero : p ≠ 0) (hp_ne_top : p ≠ ∞)
(hf : AEStronglyMeasurable f μ) (ε : ℝ≥0∞) :
(ε * μ { x | ε ≤ (‖f x‖₊ : ℝ≥0∞) ^ p.toReal }) ^ (1 / p.toReal) ≤ snorm f p μ := by
rw [snorm_eq_lintegral_rpow_nnnorm hp_ne_zero hp_ne_top]
gcongr
exact mul_meas_ge_le_lintegral₀ (hf.ennnorm.pow_const _) ε
#align measure_theory.pow_mul_meas_ge_le_snorm MeasureTheory.pow_mul_meas_ge_le_snorm
| Mathlib/MeasureTheory/Function/LpSeminorm/ChebyshevMarkov.lean | 31 | 40 | theorem mul_meas_ge_le_pow_snorm (hp_ne_zero : p ≠ 0) (hp_ne_top : p ≠ ∞)
(hf : AEStronglyMeasurable f μ) (ε : ℝ≥0∞) :
ε * μ { x | ε ≤ (‖f x‖₊ : ℝ≥0∞) ^ p.toReal } ≤ snorm f p μ ^ p.toReal := by |
have : 1 / p.toReal * p.toReal = 1 := by
refine one_div_mul_cancel ?_
rw [Ne, ENNReal.toReal_eq_zero_iff]
exact not_or_of_not hp_ne_zero hp_ne_top
rw [← ENNReal.rpow_one (ε * μ { x | ε ≤ (‖f x‖₊ : ℝ≥0∞) ^ p.toReal }), ← this, ENNReal.rpow_mul]
gcongr
exact pow_mul_meas_ge_le_snorm μ hp_ne_zero hp_ne_top hf ε
| 7 | 1,096.633158 | 2 | 1.5 | 4 | 1,675 |
import Mathlib.MeasureTheory.Function.LpSeminorm.Basic
#align_import measure_theory.function.lp_seminorm from "leanprover-community/mathlib"@"c4015acc0a223449d44061e27ddac1835a3852b9"
open scoped ENNReal
namespace MeasureTheory
variable {α E : Type*} {m0 : MeasurableSpace α} [NormedAddCommGroup E]
{p : ℝ≥0∞} (μ : Measure α) {f : α → E}
theorem pow_mul_meas_ge_le_snorm (hp_ne_zero : p ≠ 0) (hp_ne_top : p ≠ ∞)
(hf : AEStronglyMeasurable f μ) (ε : ℝ≥0∞) :
(ε * μ { x | ε ≤ (‖f x‖₊ : ℝ≥0∞) ^ p.toReal }) ^ (1 / p.toReal) ≤ snorm f p μ := by
rw [snorm_eq_lintegral_rpow_nnnorm hp_ne_zero hp_ne_top]
gcongr
exact mul_meas_ge_le_lintegral₀ (hf.ennnorm.pow_const _) ε
#align measure_theory.pow_mul_meas_ge_le_snorm MeasureTheory.pow_mul_meas_ge_le_snorm
theorem mul_meas_ge_le_pow_snorm (hp_ne_zero : p ≠ 0) (hp_ne_top : p ≠ ∞)
(hf : AEStronglyMeasurable f μ) (ε : ℝ≥0∞) :
ε * μ { x | ε ≤ (‖f x‖₊ : ℝ≥0∞) ^ p.toReal } ≤ snorm f p μ ^ p.toReal := by
have : 1 / p.toReal * p.toReal = 1 := by
refine one_div_mul_cancel ?_
rw [Ne, ENNReal.toReal_eq_zero_iff]
exact not_or_of_not hp_ne_zero hp_ne_top
rw [← ENNReal.rpow_one (ε * μ { x | ε ≤ (‖f x‖₊ : ℝ≥0∞) ^ p.toReal }), ← this, ENNReal.rpow_mul]
gcongr
exact pow_mul_meas_ge_le_snorm μ hp_ne_zero hp_ne_top hf ε
#align measure_theory.mul_meas_ge_le_pow_snorm MeasureTheory.mul_meas_ge_le_pow_snorm
| Mathlib/MeasureTheory/Function/LpSeminorm/ChebyshevMarkov.lean | 44 | 49 | theorem mul_meas_ge_le_pow_snorm' (hp_ne_zero : p ≠ 0) (hp_ne_top : p ≠ ∞)
(hf : AEStronglyMeasurable f μ) (ε : ℝ≥0∞) :
ε ^ p.toReal * μ { x | ε ≤ ‖f x‖₊ } ≤ snorm f p μ ^ p.toReal := by |
convert mul_meas_ge_le_pow_snorm μ hp_ne_zero hp_ne_top hf (ε ^ p.toReal) using 4
ext x
rw [ENNReal.rpow_le_rpow_iff (ENNReal.toReal_pos hp_ne_zero hp_ne_top)]
| 3 | 20.085537 | 1 | 1.5 | 4 | 1,675 |
import Mathlib.MeasureTheory.Function.LpSeminorm.Basic
#align_import measure_theory.function.lp_seminorm from "leanprover-community/mathlib"@"c4015acc0a223449d44061e27ddac1835a3852b9"
open scoped ENNReal
namespace MeasureTheory
variable {α E : Type*} {m0 : MeasurableSpace α} [NormedAddCommGroup E]
{p : ℝ≥0∞} (μ : Measure α) {f : α → E}
theorem pow_mul_meas_ge_le_snorm (hp_ne_zero : p ≠ 0) (hp_ne_top : p ≠ ∞)
(hf : AEStronglyMeasurable f μ) (ε : ℝ≥0∞) :
(ε * μ { x | ε ≤ (‖f x‖₊ : ℝ≥0∞) ^ p.toReal }) ^ (1 / p.toReal) ≤ snorm f p μ := by
rw [snorm_eq_lintegral_rpow_nnnorm hp_ne_zero hp_ne_top]
gcongr
exact mul_meas_ge_le_lintegral₀ (hf.ennnorm.pow_const _) ε
#align measure_theory.pow_mul_meas_ge_le_snorm MeasureTheory.pow_mul_meas_ge_le_snorm
theorem mul_meas_ge_le_pow_snorm (hp_ne_zero : p ≠ 0) (hp_ne_top : p ≠ ∞)
(hf : AEStronglyMeasurable f μ) (ε : ℝ≥0∞) :
ε * μ { x | ε ≤ (‖f x‖₊ : ℝ≥0∞) ^ p.toReal } ≤ snorm f p μ ^ p.toReal := by
have : 1 / p.toReal * p.toReal = 1 := by
refine one_div_mul_cancel ?_
rw [Ne, ENNReal.toReal_eq_zero_iff]
exact not_or_of_not hp_ne_zero hp_ne_top
rw [← ENNReal.rpow_one (ε * μ { x | ε ≤ (‖f x‖₊ : ℝ≥0∞) ^ p.toReal }), ← this, ENNReal.rpow_mul]
gcongr
exact pow_mul_meas_ge_le_snorm μ hp_ne_zero hp_ne_top hf ε
#align measure_theory.mul_meas_ge_le_pow_snorm MeasureTheory.mul_meas_ge_le_pow_snorm
theorem mul_meas_ge_le_pow_snorm' (hp_ne_zero : p ≠ 0) (hp_ne_top : p ≠ ∞)
(hf : AEStronglyMeasurable f μ) (ε : ℝ≥0∞) :
ε ^ p.toReal * μ { x | ε ≤ ‖f x‖₊ } ≤ snorm f p μ ^ p.toReal := by
convert mul_meas_ge_le_pow_snorm μ hp_ne_zero hp_ne_top hf (ε ^ p.toReal) using 4
ext x
rw [ENNReal.rpow_le_rpow_iff (ENNReal.toReal_pos hp_ne_zero hp_ne_top)]
#align measure_theory.mul_meas_ge_le_pow_snorm' MeasureTheory.mul_meas_ge_le_pow_snorm'
| Mathlib/MeasureTheory/Function/LpSeminorm/ChebyshevMarkov.lean | 52 | 61 | theorem meas_ge_le_mul_pow_snorm (hp_ne_zero : p ≠ 0) (hp_ne_top : p ≠ ∞)
(hf : AEStronglyMeasurable f μ) {ε : ℝ≥0∞} (hε : ε ≠ 0) :
μ { x | ε ≤ ‖f x‖₊ } ≤ ε⁻¹ ^ p.toReal * snorm f p μ ^ p.toReal := by |
by_cases h : ε = ∞
· simp [h]
have hεpow : ε ^ p.toReal ≠ 0 := (ENNReal.rpow_pos (pos_iff_ne_zero.2 hε) h).ne.symm
have hεpow' : ε ^ p.toReal ≠ ∞ := ENNReal.rpow_ne_top_of_nonneg ENNReal.toReal_nonneg h
rw [ENNReal.inv_rpow, ← ENNReal.mul_le_mul_left hεpow hεpow', ← mul_assoc,
ENNReal.mul_inv_cancel hεpow hεpow', one_mul]
exact mul_meas_ge_le_pow_snorm' μ hp_ne_zero hp_ne_top hf ε
| 7 | 1,096.633158 | 2 | 1.5 | 4 | 1,675 |
import Mathlib.LinearAlgebra.CliffordAlgebra.Conjugation
#align_import linear_algebra.clifford_algebra.fold from "leanprover-community/mathlib"@"446eb51ce0a90f8385f260d2b52e760e2004246b"
universe u1 u2 u3
variable {R M N : Type*}
variable [CommRing R] [AddCommGroup M] [AddCommGroup N]
variable [Module R M] [Module R N]
variable (Q : QuadraticForm R M)
namespace CliffordAlgebra
section Foldr
def foldr (f : M →ₗ[R] N →ₗ[R] N) (hf : ∀ m x, f m (f m x) = Q m • x) :
N →ₗ[R] CliffordAlgebra Q →ₗ[R] N :=
(CliffordAlgebra.lift Q ⟨f, fun v => LinearMap.ext <| hf v⟩).toLinearMap.flip
#align clifford_algebra.foldr CliffordAlgebra.foldr
@[simp]
theorem foldr_ι (f : M →ₗ[R] N →ₗ[R] N) (hf) (n : N) (m : M) : foldr Q f hf n (ι Q m) = f m n :=
LinearMap.congr_fun (lift_ι_apply _ _ _) n
#align clifford_algebra.foldr_ι CliffordAlgebra.foldr_ι
@[simp]
theorem foldr_algebraMap (f : M →ₗ[R] N →ₗ[R] N) (hf) (n : N) (r : R) :
foldr Q f hf n (algebraMap R _ r) = r • n :=
LinearMap.congr_fun (AlgHom.commutes _ r) n
#align clifford_algebra.foldr_algebra_map CliffordAlgebra.foldr_algebraMap
@[simp]
theorem foldr_one (f : M →ₗ[R] N →ₗ[R] N) (hf) (n : N) : foldr Q f hf n 1 = n :=
LinearMap.congr_fun (AlgHom.map_one _) n
#align clifford_algebra.foldr_one CliffordAlgebra.foldr_one
@[simp]
theorem foldr_mul (f : M →ₗ[R] N →ₗ[R] N) (hf) (n : N) (a b : CliffordAlgebra Q) :
foldr Q f hf n (a * b) = foldr Q f hf (foldr Q f hf n b) a :=
LinearMap.congr_fun (AlgHom.map_mul _ _ _) n
#align clifford_algebra.foldr_mul CliffordAlgebra.foldr_mul
| Mathlib/LinearAlgebra/CliffordAlgebra/Fold.lean | 77 | 81 | theorem foldr_prod_map_ι (l : List M) (f : M →ₗ[R] N →ₗ[R] N) (hf) (n : N) :
foldr Q f hf n (l.map <| ι Q).prod = List.foldr (fun m n => f m n) n l := by |
induction' l with hd tl ih
· rw [List.map_nil, List.prod_nil, List.foldr_nil, foldr_one]
· rw [List.map_cons, List.prod_cons, List.foldr_cons, foldr_mul, foldr_ι, ih]
| 3 | 20.085537 | 1 | 1.5 | 4 | 1,676 |
import Mathlib.LinearAlgebra.CliffordAlgebra.Conjugation
#align_import linear_algebra.clifford_algebra.fold from "leanprover-community/mathlib"@"446eb51ce0a90f8385f260d2b52e760e2004246b"
universe u1 u2 u3
variable {R M N : Type*}
variable [CommRing R] [AddCommGroup M] [AddCommGroup N]
variable [Module R M] [Module R N]
variable (Q : QuadraticForm R M)
namespace CliffordAlgebra
@[elab_as_elim]
| Mathlib/LinearAlgebra/CliffordAlgebra/Fold.lean | 140 | 157 | theorem right_induction {P : CliffordAlgebra Q → Prop} (algebraMap : ∀ r : R, P (algebraMap _ _ r))
(add : ∀ x y, P x → P y → P (x + y)) (mul_ι : ∀ m x, P x → P (x * ι Q m)) : ∀ x, P x := by |
/- It would be neat if we could prove this via `foldr` like how we prove
`CliffordAlgebra.induction`, but going via the grading seems easier. -/
intro x
have : x ∈ ⊤ := Submodule.mem_top (R := R)
rw [← iSup_ι_range_eq_top] at this
induction this using Submodule.iSup_induction' with
| mem i x hx =>
induction hx using Submodule.pow_induction_on_right' with
| algebraMap r => exact algebraMap r
| add _x _y _i _ _ ihx ihy => exact add _ _ ihx ihy
| mul_mem _i x _hx px m hm =>
obtain ⟨m, rfl⟩ := hm
exact mul_ι _ _ px
| zero => simpa only [map_zero] using algebraMap 0
| add _x _y _ _ ihx ihy =>
exact add _ _ ihx ihy
| 16 | 8,886,110.520508 | 2 | 1.5 | 4 | 1,676 |
import Mathlib.LinearAlgebra.CliffordAlgebra.Conjugation
#align_import linear_algebra.clifford_algebra.fold from "leanprover-community/mathlib"@"446eb51ce0a90f8385f260d2b52e760e2004246b"
universe u1 u2 u3
variable {R M N : Type*}
variable [CommRing R] [AddCommGroup M] [AddCommGroup N]
variable [Module R M] [Module R N]
variable (Q : QuadraticForm R M)
namespace CliffordAlgebra
@[elab_as_elim]
theorem right_induction {P : CliffordAlgebra Q → Prop} (algebraMap : ∀ r : R, P (algebraMap _ _ r))
(add : ∀ x y, P x → P y → P (x + y)) (mul_ι : ∀ m x, P x → P (x * ι Q m)) : ∀ x, P x := by
intro x
have : x ∈ ⊤ := Submodule.mem_top (R := R)
rw [← iSup_ι_range_eq_top] at this
induction this using Submodule.iSup_induction' with
| mem i x hx =>
induction hx using Submodule.pow_induction_on_right' with
| algebraMap r => exact algebraMap r
| add _x _y _i _ _ ihx ihy => exact add _ _ ihx ihy
| mul_mem _i x _hx px m hm =>
obtain ⟨m, rfl⟩ := hm
exact mul_ι _ _ px
| zero => simpa only [map_zero] using algebraMap 0
| add _x _y _ _ ihx ihy =>
exact add _ _ ihx ihy
#align clifford_algebra.right_induction CliffordAlgebra.right_induction
@[elab_as_elim]
| Mathlib/LinearAlgebra/CliffordAlgebra/Fold.lean | 161 | 168 | theorem left_induction {P : CliffordAlgebra Q → Prop} (algebraMap : ∀ r : R, P (algebraMap _ _ r))
(add : ∀ x y, P x → P y → P (x + y)) (ι_mul : ∀ x m, P x → P (ι Q m * x)) : ∀ x, P x := by |
refine reverse_involutive.surjective.forall.2 ?_
intro x
induction' x using CliffordAlgebra.right_induction with r x y hx hy m x hx
· simpa only [reverse.commutes] using algebraMap r
· simpa only [map_add] using add _ _ hx hy
· simpa only [reverse.map_mul, reverse_ι] using ι_mul _ _ hx
| 6 | 403.428793 | 2 | 1.5 | 4 | 1,676 |
import Mathlib.LinearAlgebra.CliffordAlgebra.Conjugation
#align_import linear_algebra.clifford_algebra.fold from "leanprover-community/mathlib"@"446eb51ce0a90f8385f260d2b52e760e2004246b"
universe u1 u2 u3
variable {R M N : Type*}
variable [CommRing R] [AddCommGroup M] [AddCommGroup N]
variable [Module R M] [Module R N]
variable (Q : QuadraticForm R M)
namespace CliffordAlgebra
@[elab_as_elim]
theorem right_induction {P : CliffordAlgebra Q → Prop} (algebraMap : ∀ r : R, P (algebraMap _ _ r))
(add : ∀ x y, P x → P y → P (x + y)) (mul_ι : ∀ m x, P x → P (x * ι Q m)) : ∀ x, P x := by
intro x
have : x ∈ ⊤ := Submodule.mem_top (R := R)
rw [← iSup_ι_range_eq_top] at this
induction this using Submodule.iSup_induction' with
| mem i x hx =>
induction hx using Submodule.pow_induction_on_right' with
| algebraMap r => exact algebraMap r
| add _x _y _i _ _ ihx ihy => exact add _ _ ihx ihy
| mul_mem _i x _hx px m hm =>
obtain ⟨m, rfl⟩ := hm
exact mul_ι _ _ px
| zero => simpa only [map_zero] using algebraMap 0
| add _x _y _ _ ihx ihy =>
exact add _ _ ihx ihy
#align clifford_algebra.right_induction CliffordAlgebra.right_induction
@[elab_as_elim]
theorem left_induction {P : CliffordAlgebra Q → Prop} (algebraMap : ∀ r : R, P (algebraMap _ _ r))
(add : ∀ x y, P x → P y → P (x + y)) (ι_mul : ∀ x m, P x → P (ι Q m * x)) : ∀ x, P x := by
refine reverse_involutive.surjective.forall.2 ?_
intro x
induction' x using CliffordAlgebra.right_induction with r x y hx hy m x hx
· simpa only [reverse.commutes] using algebraMap r
· simpa only [map_add] using add _ _ hx hy
· simpa only [reverse.map_mul, reverse_ι] using ι_mul _ _ hx
#align clifford_algebra.left_induction CliffordAlgebra.left_induction
def foldr'Aux (f : M →ₗ[R] CliffordAlgebra Q × N →ₗ[R] N) :
M →ₗ[R] Module.End R (CliffordAlgebra Q × N) := by
have v_mul := (Algebra.lmul R (CliffordAlgebra Q)).toLinearMap ∘ₗ ι Q
have l := v_mul.compl₂ (LinearMap.fst _ _ N)
exact
{ toFun := fun m => (l m).prod (f m)
map_add' := fun v₂ v₂ =>
LinearMap.ext fun x =>
Prod.ext (LinearMap.congr_fun (l.map_add _ _) x) (LinearMap.congr_fun (f.map_add _ _) x)
map_smul' := fun c v =>
LinearMap.ext fun x =>
Prod.ext (LinearMap.congr_fun (l.map_smul _ _) x)
(LinearMap.congr_fun (f.map_smul _ _) x) }
#align clifford_algebra.foldr'_aux CliffordAlgebra.foldr'Aux
theorem foldr'Aux_apply_apply (f : M →ₗ[R] CliffordAlgebra Q × N →ₗ[R] N) (m : M) (x_fx) :
foldr'Aux Q f m x_fx = (ι Q m * x_fx.1, f m x_fx) :=
rfl
#align clifford_algebra.foldr'_aux_apply_apply CliffordAlgebra.foldr'Aux_apply_apply
| Mathlib/LinearAlgebra/CliffordAlgebra/Fold.lean | 195 | 200 | theorem foldr'Aux_foldr'Aux (f : M →ₗ[R] CliffordAlgebra Q × N →ₗ[R] N)
(hf : ∀ m x fx, f m (ι Q m * x, f m (x, fx)) = Q m • fx) (v : M) (x_fx) :
foldr'Aux Q f v (foldr'Aux Q f v x_fx) = Q v • x_fx := by |
cases' x_fx with x fx
simp only [foldr'Aux_apply_apply]
rw [← mul_assoc, ι_sq_scalar, ← Algebra.smul_def, hf, Prod.smul_mk]
| 3 | 20.085537 | 1 | 1.5 | 4 | 1,676 |
import Mathlib.CategoryTheory.Monoidal.Braided.Basic
import Mathlib.CategoryTheory.Monoidal.OfChosenFiniteProducts.Basic
#align_import category_theory.monoidal.of_chosen_finite_products.symmetric from "leanprover-community/mathlib"@"95a87616d63b3cb49d3fe678d416fbe9c4217bf4"
universe v u
namespace CategoryTheory
variable {C : Type u} [Category.{v} C] {X Y : C}
open CategoryTheory.Limits
variable (𝒯 : LimitCone (Functor.empty.{0} C))
variable (ℬ : ∀ X Y : C, LimitCone (pair X Y))
open MonoidalOfChosenFiniteProducts
namespace MonoidalOfChosenFiniteProducts
open MonoidalCategory
| Mathlib/CategoryTheory/Monoidal/OfChosenFiniteProducts/Symmetric.lean | 34 | 39 | theorem braiding_naturality {X X' Y Y' : C} (f : X ⟶ Y) (g : X' ⟶ Y') :
tensorHom ℬ f g ≫ (Limits.BinaryFan.braiding (ℬ Y Y').isLimit (ℬ Y' Y).isLimit).hom =
(Limits.BinaryFan.braiding (ℬ X X').isLimit (ℬ X' X).isLimit).hom ≫ tensorHom ℬ g f := by |
dsimp [tensorHom, Limits.BinaryFan.braiding]
apply (ℬ _ _).isLimit.hom_ext
rintro ⟨⟨⟩⟩ <;> · dsimp [Limits.IsLimit.conePointUniqueUpToIso]; simp
| 3 | 20.085537 | 1 | 1.5 | 4 | 1,677 |
import Mathlib.CategoryTheory.Monoidal.Braided.Basic
import Mathlib.CategoryTheory.Monoidal.OfChosenFiniteProducts.Basic
#align_import category_theory.monoidal.of_chosen_finite_products.symmetric from "leanprover-community/mathlib"@"95a87616d63b3cb49d3fe678d416fbe9c4217bf4"
universe v u
namespace CategoryTheory
variable {C : Type u} [Category.{v} C] {X Y : C}
open CategoryTheory.Limits
variable (𝒯 : LimitCone (Functor.empty.{0} C))
variable (ℬ : ∀ X Y : C, LimitCone (pair X Y))
open MonoidalOfChosenFiniteProducts
namespace MonoidalOfChosenFiniteProducts
open MonoidalCategory
theorem braiding_naturality {X X' Y Y' : C} (f : X ⟶ Y) (g : X' ⟶ Y') :
tensorHom ℬ f g ≫ (Limits.BinaryFan.braiding (ℬ Y Y').isLimit (ℬ Y' Y).isLimit).hom =
(Limits.BinaryFan.braiding (ℬ X X').isLimit (ℬ X' X).isLimit).hom ≫ tensorHom ℬ g f := by
dsimp [tensorHom, Limits.BinaryFan.braiding]
apply (ℬ _ _).isLimit.hom_ext
rintro ⟨⟨⟩⟩ <;> · dsimp [Limits.IsLimit.conePointUniqueUpToIso]; simp
#align category_theory.monoidal_of_chosen_finite_products.braiding_naturality CategoryTheory.MonoidalOfChosenFiniteProducts.braiding_naturality
| Mathlib/CategoryTheory/Monoidal/OfChosenFiniteProducts/Symmetric.lean | 42 | 54 | theorem hexagon_forward (X Y Z : C) :
(BinaryFan.associatorOfLimitCone ℬ X Y Z).hom ≫
(Limits.BinaryFan.braiding (ℬ X (tensorObj ℬ Y Z)).isLimit
(ℬ (tensorObj ℬ Y Z) X).isLimit).hom ≫
(BinaryFan.associatorOfLimitCone ℬ Y Z X).hom =
tensorHom ℬ (Limits.BinaryFan.braiding (ℬ X Y).isLimit (ℬ Y X).isLimit).hom (𝟙 Z) ≫
(BinaryFan.associatorOfLimitCone ℬ Y X Z).hom ≫
tensorHom ℬ (𝟙 Y) (Limits.BinaryFan.braiding (ℬ X Z).isLimit (ℬ Z X).isLimit).hom := by |
dsimp [tensorHom, Limits.BinaryFan.braiding]
apply (ℬ _ _).isLimit.hom_ext; rintro ⟨⟨⟩⟩
· dsimp [Limits.IsLimit.conePointUniqueUpToIso]; simp
· apply (ℬ _ _).isLimit.hom_ext
rintro ⟨⟨⟩⟩ <;> · dsimp [Limits.IsLimit.conePointUniqueUpToIso]; simp
| 5 | 148.413159 | 2 | 1.5 | 4 | 1,677 |
import Mathlib.CategoryTheory.Monoidal.Braided.Basic
import Mathlib.CategoryTheory.Monoidal.OfChosenFiniteProducts.Basic
#align_import category_theory.monoidal.of_chosen_finite_products.symmetric from "leanprover-community/mathlib"@"95a87616d63b3cb49d3fe678d416fbe9c4217bf4"
universe v u
namespace CategoryTheory
variable {C : Type u} [Category.{v} C] {X Y : C}
open CategoryTheory.Limits
variable (𝒯 : LimitCone (Functor.empty.{0} C))
variable (ℬ : ∀ X Y : C, LimitCone (pair X Y))
open MonoidalOfChosenFiniteProducts
namespace MonoidalOfChosenFiniteProducts
open MonoidalCategory
theorem braiding_naturality {X X' Y Y' : C} (f : X ⟶ Y) (g : X' ⟶ Y') :
tensorHom ℬ f g ≫ (Limits.BinaryFan.braiding (ℬ Y Y').isLimit (ℬ Y' Y).isLimit).hom =
(Limits.BinaryFan.braiding (ℬ X X').isLimit (ℬ X' X).isLimit).hom ≫ tensorHom ℬ g f := by
dsimp [tensorHom, Limits.BinaryFan.braiding]
apply (ℬ _ _).isLimit.hom_ext
rintro ⟨⟨⟩⟩ <;> · dsimp [Limits.IsLimit.conePointUniqueUpToIso]; simp
#align category_theory.monoidal_of_chosen_finite_products.braiding_naturality CategoryTheory.MonoidalOfChosenFiniteProducts.braiding_naturality
theorem hexagon_forward (X Y Z : C) :
(BinaryFan.associatorOfLimitCone ℬ X Y Z).hom ≫
(Limits.BinaryFan.braiding (ℬ X (tensorObj ℬ Y Z)).isLimit
(ℬ (tensorObj ℬ Y Z) X).isLimit).hom ≫
(BinaryFan.associatorOfLimitCone ℬ Y Z X).hom =
tensorHom ℬ (Limits.BinaryFan.braiding (ℬ X Y).isLimit (ℬ Y X).isLimit).hom (𝟙 Z) ≫
(BinaryFan.associatorOfLimitCone ℬ Y X Z).hom ≫
tensorHom ℬ (𝟙 Y) (Limits.BinaryFan.braiding (ℬ X Z).isLimit (ℬ Z X).isLimit).hom := by
dsimp [tensorHom, Limits.BinaryFan.braiding]
apply (ℬ _ _).isLimit.hom_ext; rintro ⟨⟨⟩⟩
· dsimp [Limits.IsLimit.conePointUniqueUpToIso]; simp
· apply (ℬ _ _).isLimit.hom_ext
rintro ⟨⟨⟩⟩ <;> · dsimp [Limits.IsLimit.conePointUniqueUpToIso]; simp
#align category_theory.monoidal_of_chosen_finite_products.hexagon_forward CategoryTheory.MonoidalOfChosenFiniteProducts.hexagon_forward
| Mathlib/CategoryTheory/Monoidal/OfChosenFiniteProducts/Symmetric.lean | 57 | 74 | theorem hexagon_reverse (X Y Z : C) :
(BinaryFan.associatorOfLimitCone ℬ X Y Z).inv ≫
(Limits.BinaryFan.braiding (ℬ (tensorObj ℬ X Y) Z).isLimit
(ℬ Z (tensorObj ℬ X Y)).isLimit).hom ≫
(BinaryFan.associatorOfLimitCone ℬ Z X Y).inv =
tensorHom ℬ (𝟙 X) (Limits.BinaryFan.braiding (ℬ Y Z).isLimit (ℬ Z Y).isLimit).hom ≫
(BinaryFan.associatorOfLimitCone ℬ X Z Y).inv ≫
tensorHom ℬ (Limits.BinaryFan.braiding (ℬ X Z).isLimit (ℬ Z X).isLimit).hom (𝟙 Y) := by |
dsimp [tensorHom, Limits.BinaryFan.braiding]
apply (ℬ _ _).isLimit.hom_ext; rintro ⟨⟨⟩⟩
· apply (ℬ _ _).isLimit.hom_ext
rintro ⟨⟨⟩⟩ <;>
· dsimp [BinaryFan.associatorOfLimitCone, BinaryFan.associator,
Limits.IsLimit.conePointUniqueUpToIso]
simp
· dsimp [BinaryFan.associatorOfLimitCone, BinaryFan.associator,
Limits.IsLimit.conePointUniqueUpToIso]
simp
| 10 | 22,026.465795 | 2 | 1.5 | 4 | 1,677 |
import Mathlib.CategoryTheory.Monoidal.Braided.Basic
import Mathlib.CategoryTheory.Monoidal.OfChosenFiniteProducts.Basic
#align_import category_theory.monoidal.of_chosen_finite_products.symmetric from "leanprover-community/mathlib"@"95a87616d63b3cb49d3fe678d416fbe9c4217bf4"
universe v u
namespace CategoryTheory
variable {C : Type u} [Category.{v} C] {X Y : C}
open CategoryTheory.Limits
variable (𝒯 : LimitCone (Functor.empty.{0} C))
variable (ℬ : ∀ X Y : C, LimitCone (pair X Y))
open MonoidalOfChosenFiniteProducts
namespace MonoidalOfChosenFiniteProducts
open MonoidalCategory
theorem braiding_naturality {X X' Y Y' : C} (f : X ⟶ Y) (g : X' ⟶ Y') :
tensorHom ℬ f g ≫ (Limits.BinaryFan.braiding (ℬ Y Y').isLimit (ℬ Y' Y).isLimit).hom =
(Limits.BinaryFan.braiding (ℬ X X').isLimit (ℬ X' X).isLimit).hom ≫ tensorHom ℬ g f := by
dsimp [tensorHom, Limits.BinaryFan.braiding]
apply (ℬ _ _).isLimit.hom_ext
rintro ⟨⟨⟩⟩ <;> · dsimp [Limits.IsLimit.conePointUniqueUpToIso]; simp
#align category_theory.monoidal_of_chosen_finite_products.braiding_naturality CategoryTheory.MonoidalOfChosenFiniteProducts.braiding_naturality
theorem hexagon_forward (X Y Z : C) :
(BinaryFan.associatorOfLimitCone ℬ X Y Z).hom ≫
(Limits.BinaryFan.braiding (ℬ X (tensorObj ℬ Y Z)).isLimit
(ℬ (tensorObj ℬ Y Z) X).isLimit).hom ≫
(BinaryFan.associatorOfLimitCone ℬ Y Z X).hom =
tensorHom ℬ (Limits.BinaryFan.braiding (ℬ X Y).isLimit (ℬ Y X).isLimit).hom (𝟙 Z) ≫
(BinaryFan.associatorOfLimitCone ℬ Y X Z).hom ≫
tensorHom ℬ (𝟙 Y) (Limits.BinaryFan.braiding (ℬ X Z).isLimit (ℬ Z X).isLimit).hom := by
dsimp [tensorHom, Limits.BinaryFan.braiding]
apply (ℬ _ _).isLimit.hom_ext; rintro ⟨⟨⟩⟩
· dsimp [Limits.IsLimit.conePointUniqueUpToIso]; simp
· apply (ℬ _ _).isLimit.hom_ext
rintro ⟨⟨⟩⟩ <;> · dsimp [Limits.IsLimit.conePointUniqueUpToIso]; simp
#align category_theory.monoidal_of_chosen_finite_products.hexagon_forward CategoryTheory.MonoidalOfChosenFiniteProducts.hexagon_forward
theorem hexagon_reverse (X Y Z : C) :
(BinaryFan.associatorOfLimitCone ℬ X Y Z).inv ≫
(Limits.BinaryFan.braiding (ℬ (tensorObj ℬ X Y) Z).isLimit
(ℬ Z (tensorObj ℬ X Y)).isLimit).hom ≫
(BinaryFan.associatorOfLimitCone ℬ Z X Y).inv =
tensorHom ℬ (𝟙 X) (Limits.BinaryFan.braiding (ℬ Y Z).isLimit (ℬ Z Y).isLimit).hom ≫
(BinaryFan.associatorOfLimitCone ℬ X Z Y).inv ≫
tensorHom ℬ (Limits.BinaryFan.braiding (ℬ X Z).isLimit (ℬ Z X).isLimit).hom (𝟙 Y) := by
dsimp [tensorHom, Limits.BinaryFan.braiding]
apply (ℬ _ _).isLimit.hom_ext; rintro ⟨⟨⟩⟩
· apply (ℬ _ _).isLimit.hom_ext
rintro ⟨⟨⟩⟩ <;>
· dsimp [BinaryFan.associatorOfLimitCone, BinaryFan.associator,
Limits.IsLimit.conePointUniqueUpToIso]
simp
· dsimp [BinaryFan.associatorOfLimitCone, BinaryFan.associator,
Limits.IsLimit.conePointUniqueUpToIso]
simp
#align category_theory.monoidal_of_chosen_finite_products.hexagon_reverse CategoryTheory.MonoidalOfChosenFiniteProducts.hexagon_reverse
| Mathlib/CategoryTheory/Monoidal/OfChosenFiniteProducts/Symmetric.lean | 77 | 83 | theorem symmetry (X Y : C) :
(Limits.BinaryFan.braiding (ℬ X Y).isLimit (ℬ Y X).isLimit).hom ≫
(Limits.BinaryFan.braiding (ℬ Y X).isLimit (ℬ X Y).isLimit).hom =
𝟙 (tensorObj ℬ X Y) := by |
dsimp [tensorHom, Limits.BinaryFan.braiding]
apply (ℬ _ _).isLimit.hom_ext;
rintro ⟨⟨⟩⟩ <;> · dsimp [Limits.IsLimit.conePointUniqueUpToIso]; simp
| 3 | 20.085537 | 1 | 1.5 | 4 | 1,677 |
import Mathlib.Algebra.Polynomial.AlgebraMap
import Mathlib.Algebra.Polynomial.Inductions
import Mathlib.Algebra.Polynomial.Splits
import Mathlib.Analysis.Normed.Field.Basic
import Mathlib.RingTheory.Polynomial.Vieta
#align_import topology.algebra.polynomial from "leanprover-community/mathlib"@"565eb991e264d0db702722b4bde52ee5173c9950"
open IsAbsoluteValue Filter
namespace Polynomial
open Polynomial
| Mathlib/Topology/Algebra/Polynomial.lean | 105 | 120 | theorem tendsto_abv_eval₂_atTop {R S k α : Type*} [Semiring R] [Ring S] [LinearOrderedField k]
(f : R →+* S) (abv : S → k) [IsAbsoluteValue abv] (p : R[X]) (hd : 0 < degree p)
(hf : f p.leadingCoeff ≠ 0) {l : Filter α} {z : α → S} (hz : Tendsto (abv ∘ z) l atTop) :
Tendsto (fun x => abv (p.eval₂ f (z x))) l atTop := by |
revert hf; refine degree_pos_induction_on p hd ?_ ?_ ?_ <;> clear hd p
· rintro _ - hc
rw [leadingCoeff_mul_X, leadingCoeff_C] at hc
simpa [abv_mul abv] using hz.const_mul_atTop ((abv_pos abv).2 hc)
· intro _ _ ihp hf
rw [leadingCoeff_mul_X] at hf
simpa [abv_mul abv] using (ihp hf).atTop_mul_atTop hz
· intro _ a hd ihp hf
rw [add_comm, leadingCoeff_add_of_degree_lt (degree_C_le.trans_lt hd)] at hf
refine tendsto_atTop_of_add_const_right (abv (-f a)) ?_
refine tendsto_atTop_mono (fun _ => abv_add abv _ _) ?_
simpa using ihp hf
| 12 | 162,754.791419 | 2 | 1.5 | 2 | 1,678 |
import Mathlib.Algebra.Polynomial.AlgebraMap
import Mathlib.Algebra.Polynomial.Inductions
import Mathlib.Algebra.Polynomial.Splits
import Mathlib.Analysis.Normed.Field.Basic
import Mathlib.RingTheory.Polynomial.Vieta
#align_import topology.algebra.polynomial from "leanprover-community/mathlib"@"565eb991e264d0db702722b4bde52ee5173c9950"
open IsAbsoluteValue Filter
namespace Polynomial
open Polynomial
theorem tendsto_abv_eval₂_atTop {R S k α : Type*} [Semiring R] [Ring S] [LinearOrderedField k]
(f : R →+* S) (abv : S → k) [IsAbsoluteValue abv] (p : R[X]) (hd : 0 < degree p)
(hf : f p.leadingCoeff ≠ 0) {l : Filter α} {z : α → S} (hz : Tendsto (abv ∘ z) l atTop) :
Tendsto (fun x => abv (p.eval₂ f (z x))) l atTop := by
revert hf; refine degree_pos_induction_on p hd ?_ ?_ ?_ <;> clear hd p
· rintro _ - hc
rw [leadingCoeff_mul_X, leadingCoeff_C] at hc
simpa [abv_mul abv] using hz.const_mul_atTop ((abv_pos abv).2 hc)
· intro _ _ ihp hf
rw [leadingCoeff_mul_X] at hf
simpa [abv_mul abv] using (ihp hf).atTop_mul_atTop hz
· intro _ a hd ihp hf
rw [add_comm, leadingCoeff_add_of_degree_lt (degree_C_le.trans_lt hd)] at hf
refine tendsto_atTop_of_add_const_right (abv (-f a)) ?_
refine tendsto_atTop_mono (fun _ => abv_add abv _ _) ?_
simpa using ihp hf
#align polynomial.tendsto_abv_eval₂_at_top Polynomial.tendsto_abv_eval₂_atTop
| Mathlib/Topology/Algebra/Polynomial.lean | 123 | 127 | theorem tendsto_abv_atTop {R k α : Type*} [Ring R] [LinearOrderedField k] (abv : R → k)
[IsAbsoluteValue abv] (p : R[X]) (h : 0 < degree p) {l : Filter α} {z : α → R}
(hz : Tendsto (abv ∘ z) l atTop) : Tendsto (fun x => abv (p.eval (z x))) l atTop := by |
apply tendsto_abv_eval₂_atTop _ _ _ h _ hz
exact mt leadingCoeff_eq_zero.1 (ne_zero_of_degree_gt h)
| 2 | 7.389056 | 1 | 1.5 | 2 | 1,678 |
import Mathlib.Algebra.Algebra.Pi
import Mathlib.Algebra.Polynomial.Eval
import Mathlib.RingTheory.Adjoin.Basic
#align_import data.polynomial.algebra_map from "leanprover-community/mathlib"@"e064a7bf82ad94c3c17b5128bbd860d1ec34874e"
noncomputable section
open Finset
open Polynomial
namespace Polynomial
universe u v w z
variable {R : Type u} {S : Type v} {T : Type w} {A : Type z} {A' B : Type*} {a b : R} {n : ℕ}
section CommSemiring
variable [CommSemiring R] [Semiring A] [Semiring B] [Algebra R A] [Algebra R B]
variable {p q r : R[X]}
instance algebraOfAlgebra : Algebra R A[X] where
smul_def' r p :=
toFinsupp_injective <| by
dsimp only [RingHom.toFun_eq_coe, RingHom.comp_apply]
rw [toFinsupp_smul, toFinsupp_mul, toFinsupp_C]
exact Algebra.smul_def' _ _
commutes' r p :=
toFinsupp_injective <| by
dsimp only [RingHom.toFun_eq_coe, RingHom.comp_apply]
simp_rw [toFinsupp_mul, toFinsupp_C]
convert Algebra.commutes' r p.toFinsupp
toRingHom := C.comp (algebraMap R A)
#align polynomial.algebra_of_algebra Polynomial.algebraOfAlgebra
@[simp]
theorem algebraMap_apply (r : R) : algebraMap R A[X] r = C (algebraMap R A r) :=
rfl
#align polynomial.algebra_map_apply Polynomial.algebraMap_apply
@[simp]
theorem toFinsupp_algebraMap (r : R) : (algebraMap R A[X] r).toFinsupp = algebraMap R _ r :=
show toFinsupp (C (algebraMap _ _ r)) = _ by
rw [toFinsupp_C]
rfl
#align polynomial.to_finsupp_algebra_map Polynomial.toFinsupp_algebraMap
theorem ofFinsupp_algebraMap (r : R) : (⟨algebraMap R _ r⟩ : A[X]) = algebraMap R A[X] r :=
toFinsupp_injective (toFinsupp_algebraMap _).symm
#align polynomial.of_finsupp_algebra_map Polynomial.ofFinsupp_algebraMap
theorem C_eq_algebraMap (r : R) : C r = algebraMap R R[X] r :=
rfl
set_option linter.uppercaseLean3 false in
#align polynomial.C_eq_algebra_map Polynomial.C_eq_algebraMap
@[simp]
theorem algebraMap_eq : algebraMap R R[X] = C :=
rfl
@[simps! apply]
def CAlgHom : A →ₐ[R] A[X] where
toRingHom := C
commutes' _ := rfl
@[ext 1100]
theorem algHom_ext' {f g : A[X] →ₐ[R] B}
(hC : f.comp CAlgHom = g.comp CAlgHom)
(hX : f X = g X) : f = g :=
AlgHom.coe_ringHom_injective (ringHom_ext' (congr_arg AlgHom.toRingHom hC) hX)
#align polynomial.alg_hom_ext' Polynomial.algHom_ext'
variable (R)
open AddMonoidAlgebra in
@[simps!]
def toFinsuppIsoAlg : R[X] ≃ₐ[R] R[ℕ] :=
{ toFinsuppIso R with
commutes' := fun r => by
dsimp }
#align polynomial.to_finsupp_iso_alg Polynomial.toFinsuppIsoAlg
variable {R}
instance subalgebraNontrivial [Nontrivial A] : Nontrivial (Subalgebra R A[X]) :=
⟨⟨⊥, ⊤, by
rw [Ne, SetLike.ext_iff, not_forall]
refine ⟨X, ?_⟩
simp only [Algebra.mem_bot, not_exists, Set.mem_range, iff_true_iff, Algebra.mem_top,
algebraMap_apply, not_forall]
intro x
rw [ext_iff, not_forall]
refine ⟨1, ?_⟩
simp [coeff_C]⟩⟩
@[simp]
| Mathlib/Algebra/Polynomial/AlgebraMap.lean | 123 | 127 | theorem algHom_eval₂_algebraMap {R A B : Type*} [CommSemiring R] [Semiring A] [Semiring B]
[Algebra R A] [Algebra R B] (p : R[X]) (f : A →ₐ[R] B) (a : A) :
f (eval₂ (algebraMap R A) a p) = eval₂ (algebraMap R B) (f a) p := by |
simp only [eval₂_eq_sum, sum_def]
simp only [f.map_sum, f.map_mul, f.map_pow, eq_intCast, map_intCast, AlgHom.commutes]
| 2 | 7.389056 | 1 | 1.5 | 2 | 1,679 |
import Mathlib.Algebra.Algebra.Pi
import Mathlib.Algebra.Polynomial.Eval
import Mathlib.RingTheory.Adjoin.Basic
#align_import data.polynomial.algebra_map from "leanprover-community/mathlib"@"e064a7bf82ad94c3c17b5128bbd860d1ec34874e"
noncomputable section
open Finset
open Polynomial
namespace Polynomial
universe u v w z
variable {R : Type u} {S : Type v} {T : Type w} {A : Type z} {A' B : Type*} {a b : R} {n : ℕ}
section CommSemiring
variable [CommSemiring R] [Semiring A] [Semiring B] [Algebra R A] [Algebra R B]
variable {p q r : R[X]}
instance algebraOfAlgebra : Algebra R A[X] where
smul_def' r p :=
toFinsupp_injective <| by
dsimp only [RingHom.toFun_eq_coe, RingHom.comp_apply]
rw [toFinsupp_smul, toFinsupp_mul, toFinsupp_C]
exact Algebra.smul_def' _ _
commutes' r p :=
toFinsupp_injective <| by
dsimp only [RingHom.toFun_eq_coe, RingHom.comp_apply]
simp_rw [toFinsupp_mul, toFinsupp_C]
convert Algebra.commutes' r p.toFinsupp
toRingHom := C.comp (algebraMap R A)
#align polynomial.algebra_of_algebra Polynomial.algebraOfAlgebra
@[simp]
theorem algebraMap_apply (r : R) : algebraMap R A[X] r = C (algebraMap R A r) :=
rfl
#align polynomial.algebra_map_apply Polynomial.algebraMap_apply
@[simp]
theorem toFinsupp_algebraMap (r : R) : (algebraMap R A[X] r).toFinsupp = algebraMap R _ r :=
show toFinsupp (C (algebraMap _ _ r)) = _ by
rw [toFinsupp_C]
rfl
#align polynomial.to_finsupp_algebra_map Polynomial.toFinsupp_algebraMap
theorem ofFinsupp_algebraMap (r : R) : (⟨algebraMap R _ r⟩ : A[X]) = algebraMap R A[X] r :=
toFinsupp_injective (toFinsupp_algebraMap _).symm
#align polynomial.of_finsupp_algebra_map Polynomial.ofFinsupp_algebraMap
theorem C_eq_algebraMap (r : R) : C r = algebraMap R R[X] r :=
rfl
set_option linter.uppercaseLean3 false in
#align polynomial.C_eq_algebra_map Polynomial.C_eq_algebraMap
@[simp]
theorem algebraMap_eq : algebraMap R R[X] = C :=
rfl
@[simps! apply]
def CAlgHom : A →ₐ[R] A[X] where
toRingHom := C
commutes' _ := rfl
@[ext 1100]
theorem algHom_ext' {f g : A[X] →ₐ[R] B}
(hC : f.comp CAlgHom = g.comp CAlgHom)
(hX : f X = g X) : f = g :=
AlgHom.coe_ringHom_injective (ringHom_ext' (congr_arg AlgHom.toRingHom hC) hX)
#align polynomial.alg_hom_ext' Polynomial.algHom_ext'
variable (R)
open AddMonoidAlgebra in
@[simps!]
def toFinsuppIsoAlg : R[X] ≃ₐ[R] R[ℕ] :=
{ toFinsuppIso R with
commutes' := fun r => by
dsimp }
#align polynomial.to_finsupp_iso_alg Polynomial.toFinsuppIsoAlg
variable {R}
instance subalgebraNontrivial [Nontrivial A] : Nontrivial (Subalgebra R A[X]) :=
⟨⟨⊥, ⊤, by
rw [Ne, SetLike.ext_iff, not_forall]
refine ⟨X, ?_⟩
simp only [Algebra.mem_bot, not_exists, Set.mem_range, iff_true_iff, Algebra.mem_top,
algebraMap_apply, not_forall]
intro x
rw [ext_iff, not_forall]
refine ⟨1, ?_⟩
simp [coeff_C]⟩⟩
@[simp]
theorem algHom_eval₂_algebraMap {R A B : Type*} [CommSemiring R] [Semiring A] [Semiring B]
[Algebra R A] [Algebra R B] (p : R[X]) (f : A →ₐ[R] B) (a : A) :
f (eval₂ (algebraMap R A) a p) = eval₂ (algebraMap R B) (f a) p := by
simp only [eval₂_eq_sum, sum_def]
simp only [f.map_sum, f.map_mul, f.map_pow, eq_intCast, map_intCast, AlgHom.commutes]
#align polynomial.alg_hom_eval₂_algebra_map Polynomial.algHom_eval₂_algebraMap
@[simp]
| Mathlib/Algebra/Polynomial/AlgebraMap.lean | 131 | 136 | theorem eval₂_algebraMap_X {R A : Type*} [CommSemiring R] [Semiring A] [Algebra R A] (p : R[X])
(f : R[X] →ₐ[R] A) : eval₂ (algebraMap R A) (f X) p = f p := by |
conv_rhs => rw [← Polynomial.sum_C_mul_X_pow_eq p]
simp only [eval₂_eq_sum, sum_def]
simp only [f.map_sum, f.map_mul, f.map_pow, eq_intCast, map_intCast]
simp [Polynomial.C_eq_algebraMap]
| 4 | 54.59815 | 2 | 1.5 | 2 | 1,679 |
import Batteries.Data.List.Lemmas
import Batteries.Data.Array.Basic
import Batteries.Tactic.SeqFocus
import Batteries.Util.ProofWanted
namespace Array
| .lake/packages/batteries/Batteries/Data/Array/Lemmas.lean | 14 | 29 | theorem forIn_eq_data_forIn [Monad m]
(as : Array α) (b : β) (f : α → β → m (ForInStep β)) :
forIn as b f = forIn as.data b f := by |
let rec loop : ∀ {i h b j}, j + i = as.size →
Array.forIn.loop as f i h b = forIn (as.data.drop j) b f
| 0, _, _, _, rfl => by rw [List.drop_length]; rfl
| i+1, _, _, j, ij => by
simp only [forIn.loop, Nat.add]
have j_eq : j = size as - 1 - i := by simp [← ij, ← Nat.add_assoc]
have : as.size - 1 - i < as.size := j_eq ▸ ij ▸ Nat.lt_succ_of_le (Nat.le_add_right ..)
have : as[size as - 1 - i] :: as.data.drop (j + 1) = as.data.drop j := by
rw [j_eq]; exact List.get_cons_drop _ ⟨_, this⟩
simp only [← this, List.forIn_cons]; congr; funext x; congr; funext b
rw [loop (i := i)]; rw [← ij, Nat.succ_add]; rfl
conv => lhs; simp only [forIn, Array.forIn]
rw [loop (Nat.zero_add _)]; rfl
| 13 | 442,413.392009 | 2 | 1.5 | 6 | 1,680 |
import Batteries.Data.List.Lemmas
import Batteries.Data.Array.Basic
import Batteries.Tactic.SeqFocus
import Batteries.Util.ProofWanted
namespace Array
theorem forIn_eq_data_forIn [Monad m]
(as : Array α) (b : β) (f : α → β → m (ForInStep β)) :
forIn as b f = forIn as.data b f := by
let rec loop : ∀ {i h b j}, j + i = as.size →
Array.forIn.loop as f i h b = forIn (as.data.drop j) b f
| 0, _, _, _, rfl => by rw [List.drop_length]; rfl
| i+1, _, _, j, ij => by
simp only [forIn.loop, Nat.add]
have j_eq : j = size as - 1 - i := by simp [← ij, ← Nat.add_assoc]
have : as.size - 1 - i < as.size := j_eq ▸ ij ▸ Nat.lt_succ_of_le (Nat.le_add_right ..)
have : as[size as - 1 - i] :: as.data.drop (j + 1) = as.data.drop j := by
rw [j_eq]; exact List.get_cons_drop _ ⟨_, this⟩
simp only [← this, List.forIn_cons]; congr; funext x; congr; funext b
rw [loop (i := i)]; rw [← ij, Nat.succ_add]; rfl
conv => lhs; simp only [forIn, Array.forIn]
rw [loop (Nat.zero_add _)]; rfl
| .lake/packages/batteries/Batteries/Data/Array/Lemmas.lean | 33 | 73 | theorem zipWith_eq_zipWith_data (f : α → β → γ) (as : Array α) (bs : Array β) :
(as.zipWith bs f).data = as.data.zipWith f bs.data := by |
let rec loop : ∀ (i : Nat) cs, i ≤ as.size → i ≤ bs.size →
(zipWithAux f as bs i cs).data = cs.data ++ (as.data.drop i).zipWith f (bs.data.drop i) := by
intro i cs hia hib
unfold zipWithAux
by_cases h : i = as.size ∨ i = bs.size
case pos =>
have : ¬(i < as.size) ∨ ¬(i < bs.size) := by
cases h <;> simp_all only [Nat.not_lt, Nat.le_refl, true_or, or_true]
-- Cleaned up aesop output below
simp_all only [Nat.not_lt]
cases h <;> [(cases this); (cases this)]
· simp_all only [Nat.le_refl, Nat.lt_irrefl, dite_false, List.drop_length,
List.zipWith_nil_left, List.append_nil]
· simp_all only [Nat.le_refl, Nat.lt_irrefl, dite_false, List.drop_length,
List.zipWith_nil_left, List.append_nil]
· simp_all only [Nat.le_refl, Nat.lt_irrefl, dite_false, List.drop_length,
List.zipWith_nil_right, List.append_nil]
split <;> simp_all only [Nat.not_lt]
· simp_all only [Nat.le_refl, Nat.lt_irrefl, dite_false, List.drop_length,
List.zipWith_nil_right, List.append_nil]
split <;> simp_all only [Nat.not_lt]
case neg =>
rw [not_or] at h
have has : i < as.size := Nat.lt_of_le_of_ne hia h.1
have hbs : i < bs.size := Nat.lt_of_le_of_ne hib h.2
simp only [has, hbs, dite_true]
rw [loop (i+1) _ has hbs, Array.push_data]
have h₁ : [f as[i] bs[i]] = List.zipWith f [as[i]] [bs[i]] := rfl
let i_as : Fin as.data.length := ⟨i, has⟩
let i_bs : Fin bs.data.length := ⟨i, hbs⟩
rw [h₁, List.append_assoc]
congr
rw [← List.zipWith_append (h := by simp), getElem_eq_data_get, getElem_eq_data_get]
show List.zipWith f ((List.get as.data i_as) :: List.drop (i_as + 1) as.data)
((List.get bs.data i_bs) :: List.drop (i_bs + 1) bs.data) =
List.zipWith f (List.drop i as.data) (List.drop i bs.data)
simp only [List.get_cons_drop]
termination_by as.size - i
simp [zipWith, loop 0 #[] (by simp) (by simp)]
| 39 | 86,593,400,423,993,740 | 2 | 1.5 | 6 | 1,680 |
import Batteries.Data.List.Lemmas
import Batteries.Data.Array.Basic
import Batteries.Tactic.SeqFocus
import Batteries.Util.ProofWanted
namespace Array
theorem forIn_eq_data_forIn [Monad m]
(as : Array α) (b : β) (f : α → β → m (ForInStep β)) :
forIn as b f = forIn as.data b f := by
let rec loop : ∀ {i h b j}, j + i = as.size →
Array.forIn.loop as f i h b = forIn (as.data.drop j) b f
| 0, _, _, _, rfl => by rw [List.drop_length]; rfl
| i+1, _, _, j, ij => by
simp only [forIn.loop, Nat.add]
have j_eq : j = size as - 1 - i := by simp [← ij, ← Nat.add_assoc]
have : as.size - 1 - i < as.size := j_eq ▸ ij ▸ Nat.lt_succ_of_le (Nat.le_add_right ..)
have : as[size as - 1 - i] :: as.data.drop (j + 1) = as.data.drop j := by
rw [j_eq]; exact List.get_cons_drop _ ⟨_, this⟩
simp only [← this, List.forIn_cons]; congr; funext x; congr; funext b
rw [loop (i := i)]; rw [← ij, Nat.succ_add]; rfl
conv => lhs; simp only [forIn, Array.forIn]
rw [loop (Nat.zero_add _)]; rfl
theorem zipWith_eq_zipWith_data (f : α → β → γ) (as : Array α) (bs : Array β) :
(as.zipWith bs f).data = as.data.zipWith f bs.data := by
let rec loop : ∀ (i : Nat) cs, i ≤ as.size → i ≤ bs.size →
(zipWithAux f as bs i cs).data = cs.data ++ (as.data.drop i).zipWith f (bs.data.drop i) := by
intro i cs hia hib
unfold zipWithAux
by_cases h : i = as.size ∨ i = bs.size
case pos =>
have : ¬(i < as.size) ∨ ¬(i < bs.size) := by
cases h <;> simp_all only [Nat.not_lt, Nat.le_refl, true_or, or_true]
-- Cleaned up aesop output below
simp_all only [Nat.not_lt]
cases h <;> [(cases this); (cases this)]
· simp_all only [Nat.le_refl, Nat.lt_irrefl, dite_false, List.drop_length,
List.zipWith_nil_left, List.append_nil]
· simp_all only [Nat.le_refl, Nat.lt_irrefl, dite_false, List.drop_length,
List.zipWith_nil_left, List.append_nil]
· simp_all only [Nat.le_refl, Nat.lt_irrefl, dite_false, List.drop_length,
List.zipWith_nil_right, List.append_nil]
split <;> simp_all only [Nat.not_lt]
· simp_all only [Nat.le_refl, Nat.lt_irrefl, dite_false, List.drop_length,
List.zipWith_nil_right, List.append_nil]
split <;> simp_all only [Nat.not_lt]
case neg =>
rw [not_or] at h
have has : i < as.size := Nat.lt_of_le_of_ne hia h.1
have hbs : i < bs.size := Nat.lt_of_le_of_ne hib h.2
simp only [has, hbs, dite_true]
rw [loop (i+1) _ has hbs, Array.push_data]
have h₁ : [f as[i] bs[i]] = List.zipWith f [as[i]] [bs[i]] := rfl
let i_as : Fin as.data.length := ⟨i, has⟩
let i_bs : Fin bs.data.length := ⟨i, hbs⟩
rw [h₁, List.append_assoc]
congr
rw [← List.zipWith_append (h := by simp), getElem_eq_data_get, getElem_eq_data_get]
show List.zipWith f ((List.get as.data i_as) :: List.drop (i_as + 1) as.data)
((List.get bs.data i_bs) :: List.drop (i_bs + 1) bs.data) =
List.zipWith f (List.drop i as.data) (List.drop i bs.data)
simp only [List.get_cons_drop]
termination_by as.size - i
simp [zipWith, loop 0 #[] (by simp) (by simp)]
| .lake/packages/batteries/Batteries/Data/Array/Lemmas.lean | 75 | 77 | theorem size_zipWith (as : Array α) (bs : Array β) (f : α → β → γ) :
(as.zipWith bs f).size = min as.size bs.size := by |
rw [size_eq_length_data, zipWith_eq_zipWith_data, List.length_zipWith]
| 1 | 2.718282 | 0 | 1.5 | 6 | 1,680 |
import Batteries.Data.List.Lemmas
import Batteries.Data.Array.Basic
import Batteries.Tactic.SeqFocus
import Batteries.Util.ProofWanted
namespace Array
theorem forIn_eq_data_forIn [Monad m]
(as : Array α) (b : β) (f : α → β → m (ForInStep β)) :
forIn as b f = forIn as.data b f := by
let rec loop : ∀ {i h b j}, j + i = as.size →
Array.forIn.loop as f i h b = forIn (as.data.drop j) b f
| 0, _, _, _, rfl => by rw [List.drop_length]; rfl
| i+1, _, _, j, ij => by
simp only [forIn.loop, Nat.add]
have j_eq : j = size as - 1 - i := by simp [← ij, ← Nat.add_assoc]
have : as.size - 1 - i < as.size := j_eq ▸ ij ▸ Nat.lt_succ_of_le (Nat.le_add_right ..)
have : as[size as - 1 - i] :: as.data.drop (j + 1) = as.data.drop j := by
rw [j_eq]; exact List.get_cons_drop _ ⟨_, this⟩
simp only [← this, List.forIn_cons]; congr; funext x; congr; funext b
rw [loop (i := i)]; rw [← ij, Nat.succ_add]; rfl
conv => lhs; simp only [forIn, Array.forIn]
rw [loop (Nat.zero_add _)]; rfl
theorem zipWith_eq_zipWith_data (f : α → β → γ) (as : Array α) (bs : Array β) :
(as.zipWith bs f).data = as.data.zipWith f bs.data := by
let rec loop : ∀ (i : Nat) cs, i ≤ as.size → i ≤ bs.size →
(zipWithAux f as bs i cs).data = cs.data ++ (as.data.drop i).zipWith f (bs.data.drop i) := by
intro i cs hia hib
unfold zipWithAux
by_cases h : i = as.size ∨ i = bs.size
case pos =>
have : ¬(i < as.size) ∨ ¬(i < bs.size) := by
cases h <;> simp_all only [Nat.not_lt, Nat.le_refl, true_or, or_true]
-- Cleaned up aesop output below
simp_all only [Nat.not_lt]
cases h <;> [(cases this); (cases this)]
· simp_all only [Nat.le_refl, Nat.lt_irrefl, dite_false, List.drop_length,
List.zipWith_nil_left, List.append_nil]
· simp_all only [Nat.le_refl, Nat.lt_irrefl, dite_false, List.drop_length,
List.zipWith_nil_left, List.append_nil]
· simp_all only [Nat.le_refl, Nat.lt_irrefl, dite_false, List.drop_length,
List.zipWith_nil_right, List.append_nil]
split <;> simp_all only [Nat.not_lt]
· simp_all only [Nat.le_refl, Nat.lt_irrefl, dite_false, List.drop_length,
List.zipWith_nil_right, List.append_nil]
split <;> simp_all only [Nat.not_lt]
case neg =>
rw [not_or] at h
have has : i < as.size := Nat.lt_of_le_of_ne hia h.1
have hbs : i < bs.size := Nat.lt_of_le_of_ne hib h.2
simp only [has, hbs, dite_true]
rw [loop (i+1) _ has hbs, Array.push_data]
have h₁ : [f as[i] bs[i]] = List.zipWith f [as[i]] [bs[i]] := rfl
let i_as : Fin as.data.length := ⟨i, has⟩
let i_bs : Fin bs.data.length := ⟨i, hbs⟩
rw [h₁, List.append_assoc]
congr
rw [← List.zipWith_append (h := by simp), getElem_eq_data_get, getElem_eq_data_get]
show List.zipWith f ((List.get as.data i_as) :: List.drop (i_as + 1) as.data)
((List.get bs.data i_bs) :: List.drop (i_bs + 1) bs.data) =
List.zipWith f (List.drop i as.data) (List.drop i bs.data)
simp only [List.get_cons_drop]
termination_by as.size - i
simp [zipWith, loop 0 #[] (by simp) (by simp)]
theorem size_zipWith (as : Array α) (bs : Array β) (f : α → β → γ) :
(as.zipWith bs f).size = min as.size bs.size := by
rw [size_eq_length_data, zipWith_eq_zipWith_data, List.length_zipWith]
theorem zip_eq_zip_data (as : Array α) (bs : Array β) :
(as.zip bs).data = as.data.zip bs.data :=
zipWith_eq_zipWith_data Prod.mk as bs
theorem size_zip (as : Array α) (bs : Array β) :
(as.zip bs).size = min as.size bs.size :=
as.size_zipWith bs Prod.mk
| .lake/packages/batteries/Batteries/Data/Array/Lemmas.lean | 89 | 92 | theorem size_filter_le (p : α → Bool) (l : Array α) :
(l.filter p).size ≤ l.size := by |
simp only [← data_length, filter_data]
apply List.length_filter_le
| 2 | 7.389056 | 1 | 1.5 | 6 | 1,680 |
import Batteries.Data.List.Lemmas
import Batteries.Data.Array.Basic
import Batteries.Tactic.SeqFocus
import Batteries.Util.ProofWanted
namespace Array
theorem forIn_eq_data_forIn [Monad m]
(as : Array α) (b : β) (f : α → β → m (ForInStep β)) :
forIn as b f = forIn as.data b f := by
let rec loop : ∀ {i h b j}, j + i = as.size →
Array.forIn.loop as f i h b = forIn (as.data.drop j) b f
| 0, _, _, _, rfl => by rw [List.drop_length]; rfl
| i+1, _, _, j, ij => by
simp only [forIn.loop, Nat.add]
have j_eq : j = size as - 1 - i := by simp [← ij, ← Nat.add_assoc]
have : as.size - 1 - i < as.size := j_eq ▸ ij ▸ Nat.lt_succ_of_le (Nat.le_add_right ..)
have : as[size as - 1 - i] :: as.data.drop (j + 1) = as.data.drop j := by
rw [j_eq]; exact List.get_cons_drop _ ⟨_, this⟩
simp only [← this, List.forIn_cons]; congr; funext x; congr; funext b
rw [loop (i := i)]; rw [← ij, Nat.succ_add]; rfl
conv => lhs; simp only [forIn, Array.forIn]
rw [loop (Nat.zero_add _)]; rfl
theorem zipWith_eq_zipWith_data (f : α → β → γ) (as : Array α) (bs : Array β) :
(as.zipWith bs f).data = as.data.zipWith f bs.data := by
let rec loop : ∀ (i : Nat) cs, i ≤ as.size → i ≤ bs.size →
(zipWithAux f as bs i cs).data = cs.data ++ (as.data.drop i).zipWith f (bs.data.drop i) := by
intro i cs hia hib
unfold zipWithAux
by_cases h : i = as.size ∨ i = bs.size
case pos =>
have : ¬(i < as.size) ∨ ¬(i < bs.size) := by
cases h <;> simp_all only [Nat.not_lt, Nat.le_refl, true_or, or_true]
-- Cleaned up aesop output below
simp_all only [Nat.not_lt]
cases h <;> [(cases this); (cases this)]
· simp_all only [Nat.le_refl, Nat.lt_irrefl, dite_false, List.drop_length,
List.zipWith_nil_left, List.append_nil]
· simp_all only [Nat.le_refl, Nat.lt_irrefl, dite_false, List.drop_length,
List.zipWith_nil_left, List.append_nil]
· simp_all only [Nat.le_refl, Nat.lt_irrefl, dite_false, List.drop_length,
List.zipWith_nil_right, List.append_nil]
split <;> simp_all only [Nat.not_lt]
· simp_all only [Nat.le_refl, Nat.lt_irrefl, dite_false, List.drop_length,
List.zipWith_nil_right, List.append_nil]
split <;> simp_all only [Nat.not_lt]
case neg =>
rw [not_or] at h
have has : i < as.size := Nat.lt_of_le_of_ne hia h.1
have hbs : i < bs.size := Nat.lt_of_le_of_ne hib h.2
simp only [has, hbs, dite_true]
rw [loop (i+1) _ has hbs, Array.push_data]
have h₁ : [f as[i] bs[i]] = List.zipWith f [as[i]] [bs[i]] := rfl
let i_as : Fin as.data.length := ⟨i, has⟩
let i_bs : Fin bs.data.length := ⟨i, hbs⟩
rw [h₁, List.append_assoc]
congr
rw [← List.zipWith_append (h := by simp), getElem_eq_data_get, getElem_eq_data_get]
show List.zipWith f ((List.get as.data i_as) :: List.drop (i_as + 1) as.data)
((List.get bs.data i_bs) :: List.drop (i_bs + 1) bs.data) =
List.zipWith f (List.drop i as.data) (List.drop i bs.data)
simp only [List.get_cons_drop]
termination_by as.size - i
simp [zipWith, loop 0 #[] (by simp) (by simp)]
theorem size_zipWith (as : Array α) (bs : Array β) (f : α → β → γ) :
(as.zipWith bs f).size = min as.size bs.size := by
rw [size_eq_length_data, zipWith_eq_zipWith_data, List.length_zipWith]
theorem zip_eq_zip_data (as : Array α) (bs : Array β) :
(as.zip bs).data = as.data.zip bs.data :=
zipWith_eq_zipWith_data Prod.mk as bs
theorem size_zip (as : Array α) (bs : Array β) :
(as.zip bs).size = min as.size bs.size :=
as.size_zipWith bs Prod.mk
theorem size_filter_le (p : α → Bool) (l : Array α) :
(l.filter p).size ≤ l.size := by
simp only [← data_length, filter_data]
apply List.length_filter_le
@[simp] theorem join_data {l : Array (Array α)} : l.join.data = (l.data.map data).join := by
dsimp [join]
simp only [foldl_eq_foldl_data]
generalize l.data = l
have : ∀ a : Array α, (List.foldl ?_ a l).data = a.data ++ ?_ := ?_
exact this #[]
induction l with
| nil => simp
| cons h => induction h.data <;> simp [*]
| .lake/packages/batteries/Batteries/Data/Array/Lemmas.lean | 106 | 113 | theorem mem_join : ∀ {L : Array (Array α)}, a ∈ L.join ↔ ∃ l, l ∈ L ∧ a ∈ l := by |
simp only [mem_def, join_data, List.mem_join, List.mem_map]
intro l
constructor
· rintro ⟨_, ⟨s, m, rfl⟩, h⟩
exact ⟨s, m, h⟩
· rintro ⟨s, h₁, h₂⟩
refine ⟨s.data, ⟨⟨s, h₁, rfl⟩, h₂⟩⟩
| 7 | 1,096.633158 | 2 | 1.5 | 6 | 1,680 |
import Batteries.Data.List.Lemmas
import Batteries.Data.Array.Basic
import Batteries.Tactic.SeqFocus
import Batteries.Util.ProofWanted
namespace Array
theorem forIn_eq_data_forIn [Monad m]
(as : Array α) (b : β) (f : α → β → m (ForInStep β)) :
forIn as b f = forIn as.data b f := by
let rec loop : ∀ {i h b j}, j + i = as.size →
Array.forIn.loop as f i h b = forIn (as.data.drop j) b f
| 0, _, _, _, rfl => by rw [List.drop_length]; rfl
| i+1, _, _, j, ij => by
simp only [forIn.loop, Nat.add]
have j_eq : j = size as - 1 - i := by simp [← ij, ← Nat.add_assoc]
have : as.size - 1 - i < as.size := j_eq ▸ ij ▸ Nat.lt_succ_of_le (Nat.le_add_right ..)
have : as[size as - 1 - i] :: as.data.drop (j + 1) = as.data.drop j := by
rw [j_eq]; exact List.get_cons_drop _ ⟨_, this⟩
simp only [← this, List.forIn_cons]; congr; funext x; congr; funext b
rw [loop (i := i)]; rw [← ij, Nat.succ_add]; rfl
conv => lhs; simp only [forIn, Array.forIn]
rw [loop (Nat.zero_add _)]; rfl
theorem zipWith_eq_zipWith_data (f : α → β → γ) (as : Array α) (bs : Array β) :
(as.zipWith bs f).data = as.data.zipWith f bs.data := by
let rec loop : ∀ (i : Nat) cs, i ≤ as.size → i ≤ bs.size →
(zipWithAux f as bs i cs).data = cs.data ++ (as.data.drop i).zipWith f (bs.data.drop i) := by
intro i cs hia hib
unfold zipWithAux
by_cases h : i = as.size ∨ i = bs.size
case pos =>
have : ¬(i < as.size) ∨ ¬(i < bs.size) := by
cases h <;> simp_all only [Nat.not_lt, Nat.le_refl, true_or, or_true]
-- Cleaned up aesop output below
simp_all only [Nat.not_lt]
cases h <;> [(cases this); (cases this)]
· simp_all only [Nat.le_refl, Nat.lt_irrefl, dite_false, List.drop_length,
List.zipWith_nil_left, List.append_nil]
· simp_all only [Nat.le_refl, Nat.lt_irrefl, dite_false, List.drop_length,
List.zipWith_nil_left, List.append_nil]
· simp_all only [Nat.le_refl, Nat.lt_irrefl, dite_false, List.drop_length,
List.zipWith_nil_right, List.append_nil]
split <;> simp_all only [Nat.not_lt]
· simp_all only [Nat.le_refl, Nat.lt_irrefl, dite_false, List.drop_length,
List.zipWith_nil_right, List.append_nil]
split <;> simp_all only [Nat.not_lt]
case neg =>
rw [not_or] at h
have has : i < as.size := Nat.lt_of_le_of_ne hia h.1
have hbs : i < bs.size := Nat.lt_of_le_of_ne hib h.2
simp only [has, hbs, dite_true]
rw [loop (i+1) _ has hbs, Array.push_data]
have h₁ : [f as[i] bs[i]] = List.zipWith f [as[i]] [bs[i]] := rfl
let i_as : Fin as.data.length := ⟨i, has⟩
let i_bs : Fin bs.data.length := ⟨i, hbs⟩
rw [h₁, List.append_assoc]
congr
rw [← List.zipWith_append (h := by simp), getElem_eq_data_get, getElem_eq_data_get]
show List.zipWith f ((List.get as.data i_as) :: List.drop (i_as + 1) as.data)
((List.get bs.data i_bs) :: List.drop (i_bs + 1) bs.data) =
List.zipWith f (List.drop i as.data) (List.drop i bs.data)
simp only [List.get_cons_drop]
termination_by as.size - i
simp [zipWith, loop 0 #[] (by simp) (by simp)]
theorem size_zipWith (as : Array α) (bs : Array β) (f : α → β → γ) :
(as.zipWith bs f).size = min as.size bs.size := by
rw [size_eq_length_data, zipWith_eq_zipWith_data, List.length_zipWith]
theorem zip_eq_zip_data (as : Array α) (bs : Array β) :
(as.zip bs).data = as.data.zip bs.data :=
zipWith_eq_zipWith_data Prod.mk as bs
theorem size_zip (as : Array α) (bs : Array β) :
(as.zip bs).size = min as.size bs.size :=
as.size_zipWith bs Prod.mk
theorem size_filter_le (p : α → Bool) (l : Array α) :
(l.filter p).size ≤ l.size := by
simp only [← data_length, filter_data]
apply List.length_filter_le
@[simp] theorem join_data {l : Array (Array α)} : l.join.data = (l.data.map data).join := by
dsimp [join]
simp only [foldl_eq_foldl_data]
generalize l.data = l
have : ∀ a : Array α, (List.foldl ?_ a l).data = a.data ++ ?_ := ?_
exact this #[]
induction l with
| nil => simp
| cons h => induction h.data <;> simp [*]
theorem mem_join : ∀ {L : Array (Array α)}, a ∈ L.join ↔ ∃ l, l ∈ L ∧ a ∈ l := by
simp only [mem_def, join_data, List.mem_join, List.mem_map]
intro l
constructor
· rintro ⟨_, ⟨s, m, rfl⟩, h⟩
exact ⟨s, m, h⟩
· rintro ⟨s, h₁, h₂⟩
refine ⟨s.data, ⟨⟨s, h₁, rfl⟩, h₂⟩⟩
@[simp] proof_wanted erase_data [BEq α] {l : Array α} {a : α} : (l.erase a).data = l.data.erase a
| .lake/packages/batteries/Batteries/Data/Array/Lemmas.lean | 121 | 125 | theorem size_shrink_loop (a : Array α) (n) : (shrink.loop n a).size = a.size - n := by |
induction n generalizing a with simp[shrink.loop]
| succ n ih =>
simp[ih]
omega
| 4 | 54.59815 | 2 | 1.5 | 6 | 1,680 |
import Mathlib.Data.List.OfFn
import Mathlib.Data.List.Range
#align_import data.list.indexes from "leanprover-community/mathlib"@"8631e2d5ea77f6c13054d9151d82b83069680cb1"
assert_not_exists MonoidWithZero
universe u v
open Function
namespace List
variable {α : Type u} {β : Type v}
section MapIdx
-- Porting note: Add back old definition because it's easier for writing proofs.
protected def oldMapIdxCore (f : ℕ → α → β) : ℕ → List α → List β
| _, [] => []
| k, a :: as => f k a :: List.oldMapIdxCore f (k + 1) as
protected def oldMapIdx (f : ℕ → α → β) (as : List α) : List β :=
List.oldMapIdxCore f 0 as
@[simp]
theorem mapIdx_nil {α β} (f : ℕ → α → β) : mapIdx f [] = [] :=
rfl
#align list.map_with_index_nil List.mapIdx_nil
-- Porting note (#10756): new theorem.
protected theorem oldMapIdxCore_eq (l : List α) (f : ℕ → α → β) (n : ℕ) :
l.oldMapIdxCore f n = l.oldMapIdx fun i a ↦ f (i + n) a := by
induction' l with hd tl hl generalizing f n
· rfl
· rw [List.oldMapIdx]
simp only [List.oldMapIdxCore, hl, Nat.add_left_comm, Nat.add_comm, Nat.add_zero]
#noalign list.map_with_index_core_eq
-- Porting note: convert new definition to old definition.
-- A few new theorems are added to achieve this
-- 1. Prove that `oldMapIdxCore f (l ++ [e]) = oldMapIdxCore f l ++ [f l.length e]`
-- 2. Prove that `oldMapIdx f (l ++ [e]) = oldMapIdx f l ++ [f l.length e]`
-- 3. Prove list induction using `∀ l e, p [] → (p l → p (l ++ [e])) → p l`
-- Porting note (#10756): new theorem.
| Mathlib/Data/List/Indexes.lean | 61 | 71 | theorem list_reverse_induction (p : List α → Prop) (base : p [])
(ind : ∀ (l : List α) (e : α), p l → p (l ++ [e])) : (∀ (l : List α), p l) := by |
let q := fun l ↦ p (reverse l)
have pq : ∀ l, p (reverse l) → q l := by simp only [q, reverse_reverse]; intro; exact id
have qp : ∀ l, q (reverse l) → p l := by simp only [q, reverse_reverse]; intro; exact id
intro l
apply qp
generalize (reverse l) = l
induction' l with head tail ih
· apply pq; simp only [reverse_nil, base]
· apply pq; simp only [reverse_cons]; apply ind; apply qp; rw [reverse_reverse]; exact ih
| 9 | 8,103.083928 | 2 | 1.5 | 6 | 1,681 |
import Mathlib.Data.List.OfFn
import Mathlib.Data.List.Range
#align_import data.list.indexes from "leanprover-community/mathlib"@"8631e2d5ea77f6c13054d9151d82b83069680cb1"
assert_not_exists MonoidWithZero
universe u v
open Function
namespace List
variable {α : Type u} {β : Type v}
section MapIdx
-- Porting note: Add back old definition because it's easier for writing proofs.
protected def oldMapIdxCore (f : ℕ → α → β) : ℕ → List α → List β
| _, [] => []
| k, a :: as => f k a :: List.oldMapIdxCore f (k + 1) as
protected def oldMapIdx (f : ℕ → α → β) (as : List α) : List β :=
List.oldMapIdxCore f 0 as
@[simp]
theorem mapIdx_nil {α β} (f : ℕ → α → β) : mapIdx f [] = [] :=
rfl
#align list.map_with_index_nil List.mapIdx_nil
-- Porting note (#10756): new theorem.
protected theorem oldMapIdxCore_eq (l : List α) (f : ℕ → α → β) (n : ℕ) :
l.oldMapIdxCore f n = l.oldMapIdx fun i a ↦ f (i + n) a := by
induction' l with hd tl hl generalizing f n
· rfl
· rw [List.oldMapIdx]
simp only [List.oldMapIdxCore, hl, Nat.add_left_comm, Nat.add_comm, Nat.add_zero]
#noalign list.map_with_index_core_eq
-- Porting note: convert new definition to old definition.
-- A few new theorems are added to achieve this
-- 1. Prove that `oldMapIdxCore f (l ++ [e]) = oldMapIdxCore f l ++ [f l.length e]`
-- 2. Prove that `oldMapIdx f (l ++ [e]) = oldMapIdx f l ++ [f l.length e]`
-- 3. Prove list induction using `∀ l e, p [] → (p l → p (l ++ [e])) → p l`
-- Porting note (#10756): new theorem.
theorem list_reverse_induction (p : List α → Prop) (base : p [])
(ind : ∀ (l : List α) (e : α), p l → p (l ++ [e])) : (∀ (l : List α), p l) := by
let q := fun l ↦ p (reverse l)
have pq : ∀ l, p (reverse l) → q l := by simp only [q, reverse_reverse]; intro; exact id
have qp : ∀ l, q (reverse l) → p l := by simp only [q, reverse_reverse]; intro; exact id
intro l
apply qp
generalize (reverse l) = l
induction' l with head tail ih
· apply pq; simp only [reverse_nil, base]
· apply pq; simp only [reverse_cons]; apply ind; apply qp; rw [reverse_reverse]; exact ih
-- Porting note (#10756): new theorem.
protected theorem oldMapIdxCore_append : ∀ (f : ℕ → α → β) (n : ℕ) (l₁ l₂ : List α),
List.oldMapIdxCore f n (l₁ ++ l₂) =
List.oldMapIdxCore f n l₁ ++ List.oldMapIdxCore f (n + l₁.length) l₂ := by
intros f n l₁ l₂
generalize e : (l₁ ++ l₂).length = len
revert n l₁ l₂
induction' len with len ih <;> intros n l₁ l₂ h
· have l₁_nil : l₁ = [] := by
cases l₁
· rfl
· contradiction
have l₂_nil : l₂ = [] := by
cases l₂
· rfl
· rw [List.length_append] at h; contradiction
simp only [l₁_nil, l₂_nil]; rfl
· cases' l₁ with head tail
· rfl
· simp only [List.oldMapIdxCore, List.append_eq, length_cons, cons_append,cons.injEq, true_and]
suffices n + Nat.succ (length tail) = n + 1 + tail.length by
rw [this]
apply ih (n + 1) _ _ _
simp only [cons_append, length_cons, length_append, Nat.succ.injEq] at h
simp only [length_append, h]
rw [Nat.add_assoc]; simp only [Nat.add_comm]
-- Porting note (#10756): new theorem.
protected theorem oldMapIdx_append : ∀ (f : ℕ → α → β) (l : List α) (e : α),
List.oldMapIdx f (l ++ [e]) = List.oldMapIdx f l ++ [f l.length e] := by
intros f l e
unfold List.oldMapIdx
rw [List.oldMapIdxCore_append f 0 l [e]]
simp only [Nat.zero_add]; rfl
-- Porting note (#10756): new theorem.
| Mathlib/Data/List/Indexes.lean | 109 | 129 | theorem mapIdxGo_append : ∀ (f : ℕ → α → β) (l₁ l₂ : List α) (arr : Array β),
mapIdx.go f (l₁ ++ l₂) arr = mapIdx.go f l₂ (List.toArray (mapIdx.go f l₁ arr)) := by |
intros f l₁ l₂ arr
generalize e : (l₁ ++ l₂).length = len
revert l₁ l₂ arr
induction' len with len ih <;> intros l₁ l₂ arr h
· have l₁_nil : l₁ = [] := by
cases l₁
· rfl
· contradiction
have l₂_nil : l₂ = [] := by
cases l₂
· rfl
· rw [List.length_append] at h; contradiction
rw [l₁_nil, l₂_nil]; simp only [mapIdx.go, Array.toList_eq, Array.toArray_data]
· cases' l₁ with head tail <;> simp only [mapIdx.go]
· simp only [nil_append, Array.toList_eq, Array.toArray_data]
· simp only [List.append_eq]
rw [ih]
· simp only [cons_append, length_cons, length_append, Nat.succ.injEq] at h
simp only [length_append, h]
| 19 | 178,482,300.963187 | 2 | 1.5 | 6 | 1,681 |
import Mathlib.Data.List.OfFn
import Mathlib.Data.List.Range
#align_import data.list.indexes from "leanprover-community/mathlib"@"8631e2d5ea77f6c13054d9151d82b83069680cb1"
assert_not_exists MonoidWithZero
universe u v
open Function
namespace List
variable {α : Type u} {β : Type v}
section MapIdx
-- Porting note: Add back old definition because it's easier for writing proofs.
protected def oldMapIdxCore (f : ℕ → α → β) : ℕ → List α → List β
| _, [] => []
| k, a :: as => f k a :: List.oldMapIdxCore f (k + 1) as
protected def oldMapIdx (f : ℕ → α → β) (as : List α) : List β :=
List.oldMapIdxCore f 0 as
@[simp]
theorem mapIdx_nil {α β} (f : ℕ → α → β) : mapIdx f [] = [] :=
rfl
#align list.map_with_index_nil List.mapIdx_nil
-- Porting note (#10756): new theorem.
protected theorem oldMapIdxCore_eq (l : List α) (f : ℕ → α → β) (n : ℕ) :
l.oldMapIdxCore f n = l.oldMapIdx fun i a ↦ f (i + n) a := by
induction' l with hd tl hl generalizing f n
· rfl
· rw [List.oldMapIdx]
simp only [List.oldMapIdxCore, hl, Nat.add_left_comm, Nat.add_comm, Nat.add_zero]
#noalign list.map_with_index_core_eq
-- Porting note: convert new definition to old definition.
-- A few new theorems are added to achieve this
-- 1. Prove that `oldMapIdxCore f (l ++ [e]) = oldMapIdxCore f l ++ [f l.length e]`
-- 2. Prove that `oldMapIdx f (l ++ [e]) = oldMapIdx f l ++ [f l.length e]`
-- 3. Prove list induction using `∀ l e, p [] → (p l → p (l ++ [e])) → p l`
-- Porting note (#10756): new theorem.
theorem list_reverse_induction (p : List α → Prop) (base : p [])
(ind : ∀ (l : List α) (e : α), p l → p (l ++ [e])) : (∀ (l : List α), p l) := by
let q := fun l ↦ p (reverse l)
have pq : ∀ l, p (reverse l) → q l := by simp only [q, reverse_reverse]; intro; exact id
have qp : ∀ l, q (reverse l) → p l := by simp only [q, reverse_reverse]; intro; exact id
intro l
apply qp
generalize (reverse l) = l
induction' l with head tail ih
· apply pq; simp only [reverse_nil, base]
· apply pq; simp only [reverse_cons]; apply ind; apply qp; rw [reverse_reverse]; exact ih
-- Porting note (#10756): new theorem.
protected theorem oldMapIdxCore_append : ∀ (f : ℕ → α → β) (n : ℕ) (l₁ l₂ : List α),
List.oldMapIdxCore f n (l₁ ++ l₂) =
List.oldMapIdxCore f n l₁ ++ List.oldMapIdxCore f (n + l₁.length) l₂ := by
intros f n l₁ l₂
generalize e : (l₁ ++ l₂).length = len
revert n l₁ l₂
induction' len with len ih <;> intros n l₁ l₂ h
· have l₁_nil : l₁ = [] := by
cases l₁
· rfl
· contradiction
have l₂_nil : l₂ = [] := by
cases l₂
· rfl
· rw [List.length_append] at h; contradiction
simp only [l₁_nil, l₂_nil]; rfl
· cases' l₁ with head tail
· rfl
· simp only [List.oldMapIdxCore, List.append_eq, length_cons, cons_append,cons.injEq, true_and]
suffices n + Nat.succ (length tail) = n + 1 + tail.length by
rw [this]
apply ih (n + 1) _ _ _
simp only [cons_append, length_cons, length_append, Nat.succ.injEq] at h
simp only [length_append, h]
rw [Nat.add_assoc]; simp only [Nat.add_comm]
-- Porting note (#10756): new theorem.
protected theorem oldMapIdx_append : ∀ (f : ℕ → α → β) (l : List α) (e : α),
List.oldMapIdx f (l ++ [e]) = List.oldMapIdx f l ++ [f l.length e] := by
intros f l e
unfold List.oldMapIdx
rw [List.oldMapIdxCore_append f 0 l [e]]
simp only [Nat.zero_add]; rfl
-- Porting note (#10756): new theorem.
theorem mapIdxGo_append : ∀ (f : ℕ → α → β) (l₁ l₂ : List α) (arr : Array β),
mapIdx.go f (l₁ ++ l₂) arr = mapIdx.go f l₂ (List.toArray (mapIdx.go f l₁ arr)) := by
intros f l₁ l₂ arr
generalize e : (l₁ ++ l₂).length = len
revert l₁ l₂ arr
induction' len with len ih <;> intros l₁ l₂ arr h
· have l₁_nil : l₁ = [] := by
cases l₁
· rfl
· contradiction
have l₂_nil : l₂ = [] := by
cases l₂
· rfl
· rw [List.length_append] at h; contradiction
rw [l₁_nil, l₂_nil]; simp only [mapIdx.go, Array.toList_eq, Array.toArray_data]
· cases' l₁ with head tail <;> simp only [mapIdx.go]
· simp only [nil_append, Array.toList_eq, Array.toArray_data]
· simp only [List.append_eq]
rw [ih]
· simp only [cons_append, length_cons, length_append, Nat.succ.injEq] at h
simp only [length_append, h]
-- Porting note (#10756): new theorem.
| Mathlib/Data/List/Indexes.lean | 132 | 138 | theorem mapIdxGo_length : ∀ (f : ℕ → α → β) (l : List α) (arr : Array β),
length (mapIdx.go f l arr) = length l + arr.size := by |
intro f l
induction' l with head tail ih
· intro; simp only [mapIdx.go, Array.toList_eq, length_nil, Nat.zero_add]
· intro; simp only [mapIdx.go]; rw [ih]; simp only [Array.size_push, length_cons];
simp only [Nat.add_succ, add_zero, Nat.add_comm]
| 5 | 148.413159 | 2 | 1.5 | 6 | 1,681 |
import Mathlib.Data.List.OfFn
import Mathlib.Data.List.Range
#align_import data.list.indexes from "leanprover-community/mathlib"@"8631e2d5ea77f6c13054d9151d82b83069680cb1"
assert_not_exists MonoidWithZero
universe u v
open Function
namespace List
variable {α : Type u} {β : Type v}
section MapIdx
-- Porting note: Add back old definition because it's easier for writing proofs.
protected def oldMapIdxCore (f : ℕ → α → β) : ℕ → List α → List β
| _, [] => []
| k, a :: as => f k a :: List.oldMapIdxCore f (k + 1) as
protected def oldMapIdx (f : ℕ → α → β) (as : List α) : List β :=
List.oldMapIdxCore f 0 as
@[simp]
theorem mapIdx_nil {α β} (f : ℕ → α → β) : mapIdx f [] = [] :=
rfl
#align list.map_with_index_nil List.mapIdx_nil
-- Porting note (#10756): new theorem.
protected theorem oldMapIdxCore_eq (l : List α) (f : ℕ → α → β) (n : ℕ) :
l.oldMapIdxCore f n = l.oldMapIdx fun i a ↦ f (i + n) a := by
induction' l with hd tl hl generalizing f n
· rfl
· rw [List.oldMapIdx]
simp only [List.oldMapIdxCore, hl, Nat.add_left_comm, Nat.add_comm, Nat.add_zero]
#noalign list.map_with_index_core_eq
-- Porting note: convert new definition to old definition.
-- A few new theorems are added to achieve this
-- 1. Prove that `oldMapIdxCore f (l ++ [e]) = oldMapIdxCore f l ++ [f l.length e]`
-- 2. Prove that `oldMapIdx f (l ++ [e]) = oldMapIdx f l ++ [f l.length e]`
-- 3. Prove list induction using `∀ l e, p [] → (p l → p (l ++ [e])) → p l`
-- Porting note (#10756): new theorem.
theorem list_reverse_induction (p : List α → Prop) (base : p [])
(ind : ∀ (l : List α) (e : α), p l → p (l ++ [e])) : (∀ (l : List α), p l) := by
let q := fun l ↦ p (reverse l)
have pq : ∀ l, p (reverse l) → q l := by simp only [q, reverse_reverse]; intro; exact id
have qp : ∀ l, q (reverse l) → p l := by simp only [q, reverse_reverse]; intro; exact id
intro l
apply qp
generalize (reverse l) = l
induction' l with head tail ih
· apply pq; simp only [reverse_nil, base]
· apply pq; simp only [reverse_cons]; apply ind; apply qp; rw [reverse_reverse]; exact ih
-- Porting note (#10756): new theorem.
protected theorem oldMapIdxCore_append : ∀ (f : ℕ → α → β) (n : ℕ) (l₁ l₂ : List α),
List.oldMapIdxCore f n (l₁ ++ l₂) =
List.oldMapIdxCore f n l₁ ++ List.oldMapIdxCore f (n + l₁.length) l₂ := by
intros f n l₁ l₂
generalize e : (l₁ ++ l₂).length = len
revert n l₁ l₂
induction' len with len ih <;> intros n l₁ l₂ h
· have l₁_nil : l₁ = [] := by
cases l₁
· rfl
· contradiction
have l₂_nil : l₂ = [] := by
cases l₂
· rfl
· rw [List.length_append] at h; contradiction
simp only [l₁_nil, l₂_nil]; rfl
· cases' l₁ with head tail
· rfl
· simp only [List.oldMapIdxCore, List.append_eq, length_cons, cons_append,cons.injEq, true_and]
suffices n + Nat.succ (length tail) = n + 1 + tail.length by
rw [this]
apply ih (n + 1) _ _ _
simp only [cons_append, length_cons, length_append, Nat.succ.injEq] at h
simp only [length_append, h]
rw [Nat.add_assoc]; simp only [Nat.add_comm]
-- Porting note (#10756): new theorem.
protected theorem oldMapIdx_append : ∀ (f : ℕ → α → β) (l : List α) (e : α),
List.oldMapIdx f (l ++ [e]) = List.oldMapIdx f l ++ [f l.length e] := by
intros f l e
unfold List.oldMapIdx
rw [List.oldMapIdxCore_append f 0 l [e]]
simp only [Nat.zero_add]; rfl
-- Porting note (#10756): new theorem.
theorem mapIdxGo_append : ∀ (f : ℕ → α → β) (l₁ l₂ : List α) (arr : Array β),
mapIdx.go f (l₁ ++ l₂) arr = mapIdx.go f l₂ (List.toArray (mapIdx.go f l₁ arr)) := by
intros f l₁ l₂ arr
generalize e : (l₁ ++ l₂).length = len
revert l₁ l₂ arr
induction' len with len ih <;> intros l₁ l₂ arr h
· have l₁_nil : l₁ = [] := by
cases l₁
· rfl
· contradiction
have l₂_nil : l₂ = [] := by
cases l₂
· rfl
· rw [List.length_append] at h; contradiction
rw [l₁_nil, l₂_nil]; simp only [mapIdx.go, Array.toList_eq, Array.toArray_data]
· cases' l₁ with head tail <;> simp only [mapIdx.go]
· simp only [nil_append, Array.toList_eq, Array.toArray_data]
· simp only [List.append_eq]
rw [ih]
· simp only [cons_append, length_cons, length_append, Nat.succ.injEq] at h
simp only [length_append, h]
-- Porting note (#10756): new theorem.
theorem mapIdxGo_length : ∀ (f : ℕ → α → β) (l : List α) (arr : Array β),
length (mapIdx.go f l arr) = length l + arr.size := by
intro f l
induction' l with head tail ih
· intro; simp only [mapIdx.go, Array.toList_eq, length_nil, Nat.zero_add]
· intro; simp only [mapIdx.go]; rw [ih]; simp only [Array.size_push, length_cons];
simp only [Nat.add_succ, add_zero, Nat.add_comm]
-- Porting note (#10756): new theorem.
| Mathlib/Data/List/Indexes.lean | 141 | 147 | theorem mapIdx_append_one : ∀ (f : ℕ → α → β) (l : List α) (e : α),
mapIdx f (l ++ [e]) = mapIdx f l ++ [f l.length e] := by |
intros f l e
unfold mapIdx
rw [mapIdxGo_append f l [e]]
simp only [mapIdx.go, Array.size_toArray, mapIdxGo_length, length_nil, Nat.add_zero,
Array.toList_eq, Array.push_data, Array.data_toArray]
| 5 | 148.413159 | 2 | 1.5 | 6 | 1,681 |
import Mathlib.Data.List.OfFn
import Mathlib.Data.List.Range
#align_import data.list.indexes from "leanprover-community/mathlib"@"8631e2d5ea77f6c13054d9151d82b83069680cb1"
assert_not_exists MonoidWithZero
universe u v
open Function
namespace List
variable {α : Type u} {β : Type v}
section FoldrIdx
-- Porting note: Changed argument order of `foldrIdxSpec` to align better with `foldrIdx`.
def foldrIdxSpec (f : ℕ → α → β → β) (b : β) (as : List α) (start : ℕ) : β :=
foldr (uncurry f) b <| enumFrom start as
#align list.foldr_with_index_aux_spec List.foldrIdxSpecₓ
theorem foldrIdxSpec_cons (f : ℕ → α → β → β) (b a as start) :
foldrIdxSpec f b (a :: as) start = f start a (foldrIdxSpec f b as (start + 1)) :=
rfl
#align list.foldr_with_index_aux_spec_cons List.foldrIdxSpec_consₓ
| Mathlib/Data/List/Indexes.lean | 246 | 250 | theorem foldrIdx_eq_foldrIdxSpec (f : ℕ → α → β → β) (b as start) :
foldrIdx f b as start = foldrIdxSpec f b as start := by |
induction as generalizing start
· rfl
· simp only [foldrIdx, foldrIdxSpec_cons, *]
| 3 | 20.085537 | 1 | 1.5 | 6 | 1,681 |
import Mathlib.Data.List.OfFn
import Mathlib.Data.List.Range
#align_import data.list.indexes from "leanprover-community/mathlib"@"8631e2d5ea77f6c13054d9151d82b83069680cb1"
assert_not_exists MonoidWithZero
universe u v
open Function
namespace List
variable {α : Type u} {β : Type v}
section FoldrIdx
-- Porting note: Changed argument order of `foldrIdxSpec` to align better with `foldrIdx`.
def foldrIdxSpec (f : ℕ → α → β → β) (b : β) (as : List α) (start : ℕ) : β :=
foldr (uncurry f) b <| enumFrom start as
#align list.foldr_with_index_aux_spec List.foldrIdxSpecₓ
theorem foldrIdxSpec_cons (f : ℕ → α → β → β) (b a as start) :
foldrIdxSpec f b (a :: as) start = f start a (foldrIdxSpec f b as (start + 1)) :=
rfl
#align list.foldr_with_index_aux_spec_cons List.foldrIdxSpec_consₓ
theorem foldrIdx_eq_foldrIdxSpec (f : ℕ → α → β → β) (b as start) :
foldrIdx f b as start = foldrIdxSpec f b as start := by
induction as generalizing start
· rfl
· simp only [foldrIdx, foldrIdxSpec_cons, *]
#align list.foldr_with_index_aux_eq_foldr_with_index_aux_spec List.foldrIdx_eq_foldrIdxSpecₓ
| Mathlib/Data/List/Indexes.lean | 253 | 255 | theorem foldrIdx_eq_foldr_enum (f : ℕ → α → β → β) (b : β) (as : List α) :
foldrIdx f b as = foldr (uncurry f) b (enum as) := by |
simp only [foldrIdx, foldrIdxSpec, foldrIdx_eq_foldrIdxSpec, enum]
| 1 | 2.718282 | 0 | 1.5 | 6 | 1,681 |
import Mathlib.Topology.Instances.ENNReal
#align_import order.filter.ennreal from "leanprover-community/mathlib"@"52932b3a083d4142e78a15dc928084a22fea9ba0"
open Filter ENNReal
namespace ENNReal
variable {α : Type*} {f : Filter α}
theorem eventually_le_limsup [CountableInterFilter f] (u : α → ℝ≥0∞) :
∀ᶠ y in f, u y ≤ f.limsup u :=
_root_.eventually_le_limsup
#align ennreal.eventually_le_limsup ENNReal.eventually_le_limsup
theorem limsup_eq_zero_iff [CountableInterFilter f] {u : α → ℝ≥0∞} :
f.limsup u = 0 ↔ u =ᶠ[f] 0 :=
limsup_eq_bot
#align ennreal.limsup_eq_zero_iff ENNReal.limsup_eq_zero_iff
| Mathlib/Order/Filter/ENNReal.lean | 33 | 47 | theorem limsup_const_mul_of_ne_top {u : α → ℝ≥0∞} {a : ℝ≥0∞} (ha_top : a ≠ ⊤) :
(f.limsup fun x : α => a * u x) = a * f.limsup u := by |
by_cases ha_zero : a = 0
· simp_rw [ha_zero, zero_mul, ← ENNReal.bot_eq_zero]
exact limsup_const_bot
let g := fun x : ℝ≥0∞ => a * x
have hg_bij : Function.Bijective g :=
Function.bijective_iff_has_inverse.mpr
⟨fun x => a⁻¹ * x,
⟨fun x => by simp [g, ← mul_assoc, ENNReal.inv_mul_cancel ha_zero ha_top], fun x => by
simp [g, ← mul_assoc, ENNReal.mul_inv_cancel ha_zero ha_top]⟩⟩
have hg_mono : StrictMono g :=
Monotone.strictMono_of_injective (fun _ _ _ => by rwa [mul_le_mul_left ha_zero ha_top]) hg_bij.1
let g_iso := StrictMono.orderIsoOfSurjective g hg_mono hg_bij.2
exact (OrderIso.limsup_apply g_iso).symm
| 13 | 442,413.392009 | 2 | 1.5 | 4 | 1,682 |
import Mathlib.Topology.Instances.ENNReal
#align_import order.filter.ennreal from "leanprover-community/mathlib"@"52932b3a083d4142e78a15dc928084a22fea9ba0"
open Filter ENNReal
namespace ENNReal
variable {α : Type*} {f : Filter α}
theorem eventually_le_limsup [CountableInterFilter f] (u : α → ℝ≥0∞) :
∀ᶠ y in f, u y ≤ f.limsup u :=
_root_.eventually_le_limsup
#align ennreal.eventually_le_limsup ENNReal.eventually_le_limsup
theorem limsup_eq_zero_iff [CountableInterFilter f] {u : α → ℝ≥0∞} :
f.limsup u = 0 ↔ u =ᶠ[f] 0 :=
limsup_eq_bot
#align ennreal.limsup_eq_zero_iff ENNReal.limsup_eq_zero_iff
theorem limsup_const_mul_of_ne_top {u : α → ℝ≥0∞} {a : ℝ≥0∞} (ha_top : a ≠ ⊤) :
(f.limsup fun x : α => a * u x) = a * f.limsup u := by
by_cases ha_zero : a = 0
· simp_rw [ha_zero, zero_mul, ← ENNReal.bot_eq_zero]
exact limsup_const_bot
let g := fun x : ℝ≥0∞ => a * x
have hg_bij : Function.Bijective g :=
Function.bijective_iff_has_inverse.mpr
⟨fun x => a⁻¹ * x,
⟨fun x => by simp [g, ← mul_assoc, ENNReal.inv_mul_cancel ha_zero ha_top], fun x => by
simp [g, ← mul_assoc, ENNReal.mul_inv_cancel ha_zero ha_top]⟩⟩
have hg_mono : StrictMono g :=
Monotone.strictMono_of_injective (fun _ _ _ => by rwa [mul_le_mul_left ha_zero ha_top]) hg_bij.1
let g_iso := StrictMono.orderIsoOfSurjective g hg_mono hg_bij.2
exact (OrderIso.limsup_apply g_iso).symm
#align ennreal.limsup_const_mul_of_ne_top ENNReal.limsup_const_mul_of_ne_top
| Mathlib/Order/Filter/ENNReal.lean | 50 | 68 | theorem limsup_const_mul [CountableInterFilter f] {u : α → ℝ≥0∞} {a : ℝ≥0∞} :
f.limsup (a * u ·) = a * f.limsup u := by |
by_cases ha_top : a ≠ ⊤
· exact limsup_const_mul_of_ne_top ha_top
push_neg at ha_top
by_cases hu : u =ᶠ[f] 0
· have hau : (a * u ·) =ᶠ[f] 0 := hu.mono fun x hx => by simp [hx]
simp only [limsup_congr hu, limsup_congr hau, Pi.zero_apply, ← ENNReal.bot_eq_zero,
limsup_const_bot]
simp
· have hu_mul : ∃ᶠ x : α in f, ⊤ ≤ ite (u x = 0) (0 : ℝ≥0∞) ⊤ := by
rw [EventuallyEq, not_eventually] at hu
refine hu.mono fun x hx => ?_
rw [Pi.zero_apply] at hx
simp [hx]
have h_top_le : (f.limsup fun x : α => ite (u x = 0) (0 : ℝ≥0∞) ⊤) = ⊤ :=
eq_top_iff.mpr (le_limsup_of_frequently_le hu_mul)
have hfu : f.limsup u ≠ 0 := mt limsup_eq_zero_iff.1 hu
simp only [ha_top, top_mul', h_top_le, hfu, ite_false]
| 17 | 24,154,952.753575 | 2 | 1.5 | 4 | 1,682 |
import Mathlib.Topology.Instances.ENNReal
#align_import order.filter.ennreal from "leanprover-community/mathlib"@"52932b3a083d4142e78a15dc928084a22fea9ba0"
open Filter ENNReal
namespace ENNReal
variable {α : Type*} {f : Filter α}
theorem eventually_le_limsup [CountableInterFilter f] (u : α → ℝ≥0∞) :
∀ᶠ y in f, u y ≤ f.limsup u :=
_root_.eventually_le_limsup
#align ennreal.eventually_le_limsup ENNReal.eventually_le_limsup
theorem limsup_eq_zero_iff [CountableInterFilter f] {u : α → ℝ≥0∞} :
f.limsup u = 0 ↔ u =ᶠ[f] 0 :=
limsup_eq_bot
#align ennreal.limsup_eq_zero_iff ENNReal.limsup_eq_zero_iff
theorem limsup_const_mul_of_ne_top {u : α → ℝ≥0∞} {a : ℝ≥0∞} (ha_top : a ≠ ⊤) :
(f.limsup fun x : α => a * u x) = a * f.limsup u := by
by_cases ha_zero : a = 0
· simp_rw [ha_zero, zero_mul, ← ENNReal.bot_eq_zero]
exact limsup_const_bot
let g := fun x : ℝ≥0∞ => a * x
have hg_bij : Function.Bijective g :=
Function.bijective_iff_has_inverse.mpr
⟨fun x => a⁻¹ * x,
⟨fun x => by simp [g, ← mul_assoc, ENNReal.inv_mul_cancel ha_zero ha_top], fun x => by
simp [g, ← mul_assoc, ENNReal.mul_inv_cancel ha_zero ha_top]⟩⟩
have hg_mono : StrictMono g :=
Monotone.strictMono_of_injective (fun _ _ _ => by rwa [mul_le_mul_left ha_zero ha_top]) hg_bij.1
let g_iso := StrictMono.orderIsoOfSurjective g hg_mono hg_bij.2
exact (OrderIso.limsup_apply g_iso).symm
#align ennreal.limsup_const_mul_of_ne_top ENNReal.limsup_const_mul_of_ne_top
theorem limsup_const_mul [CountableInterFilter f] {u : α → ℝ≥0∞} {a : ℝ≥0∞} :
f.limsup (a * u ·) = a * f.limsup u := by
by_cases ha_top : a ≠ ⊤
· exact limsup_const_mul_of_ne_top ha_top
push_neg at ha_top
by_cases hu : u =ᶠ[f] 0
· have hau : (a * u ·) =ᶠ[f] 0 := hu.mono fun x hx => by simp [hx]
simp only [limsup_congr hu, limsup_congr hau, Pi.zero_apply, ← ENNReal.bot_eq_zero,
limsup_const_bot]
simp
· have hu_mul : ∃ᶠ x : α in f, ⊤ ≤ ite (u x = 0) (0 : ℝ≥0∞) ⊤ := by
rw [EventuallyEq, not_eventually] at hu
refine hu.mono fun x hx => ?_
rw [Pi.zero_apply] at hx
simp [hx]
have h_top_le : (f.limsup fun x : α => ite (u x = 0) (0 : ℝ≥0∞) ⊤) = ⊤ :=
eq_top_iff.mpr (le_limsup_of_frequently_le hu_mul)
have hfu : f.limsup u ≠ 0 := mt limsup_eq_zero_iff.1 hu
simp only [ha_top, top_mul', h_top_le, hfu, ite_false]
#align ennreal.limsup_const_mul ENNReal.limsup_const_mul
| Mathlib/Order/Filter/ENNReal.lean | 71 | 77 | theorem limsup_mul_le [CountableInterFilter f] (u v : α → ℝ≥0∞) :
f.limsup (u * v) ≤ f.limsup u * f.limsup v :=
calc
f.limsup (u * v) ≤ f.limsup fun x => f.limsup u * v x := by |
refine limsup_le_limsup ?_
filter_upwards [@eventually_le_limsup _ f _ u] with x hx using mul_le_mul' hx le_rfl
_ = f.limsup u * f.limsup v := limsup_const_mul
| 3 | 20.085537 | 1 | 1.5 | 4 | 1,682 |
import Mathlib.Topology.Instances.ENNReal
#align_import order.filter.ennreal from "leanprover-community/mathlib"@"52932b3a083d4142e78a15dc928084a22fea9ba0"
open Filter ENNReal
namespace ENNReal
variable {α : Type*} {f : Filter α}
theorem eventually_le_limsup [CountableInterFilter f] (u : α → ℝ≥0∞) :
∀ᶠ y in f, u y ≤ f.limsup u :=
_root_.eventually_le_limsup
#align ennreal.eventually_le_limsup ENNReal.eventually_le_limsup
theorem limsup_eq_zero_iff [CountableInterFilter f] {u : α → ℝ≥0∞} :
f.limsup u = 0 ↔ u =ᶠ[f] 0 :=
limsup_eq_bot
#align ennreal.limsup_eq_zero_iff ENNReal.limsup_eq_zero_iff
theorem limsup_const_mul_of_ne_top {u : α → ℝ≥0∞} {a : ℝ≥0∞} (ha_top : a ≠ ⊤) :
(f.limsup fun x : α => a * u x) = a * f.limsup u := by
by_cases ha_zero : a = 0
· simp_rw [ha_zero, zero_mul, ← ENNReal.bot_eq_zero]
exact limsup_const_bot
let g := fun x : ℝ≥0∞ => a * x
have hg_bij : Function.Bijective g :=
Function.bijective_iff_has_inverse.mpr
⟨fun x => a⁻¹ * x,
⟨fun x => by simp [g, ← mul_assoc, ENNReal.inv_mul_cancel ha_zero ha_top], fun x => by
simp [g, ← mul_assoc, ENNReal.mul_inv_cancel ha_zero ha_top]⟩⟩
have hg_mono : StrictMono g :=
Monotone.strictMono_of_injective (fun _ _ _ => by rwa [mul_le_mul_left ha_zero ha_top]) hg_bij.1
let g_iso := StrictMono.orderIsoOfSurjective g hg_mono hg_bij.2
exact (OrderIso.limsup_apply g_iso).symm
#align ennreal.limsup_const_mul_of_ne_top ENNReal.limsup_const_mul_of_ne_top
theorem limsup_const_mul [CountableInterFilter f] {u : α → ℝ≥0∞} {a : ℝ≥0∞} :
f.limsup (a * u ·) = a * f.limsup u := by
by_cases ha_top : a ≠ ⊤
· exact limsup_const_mul_of_ne_top ha_top
push_neg at ha_top
by_cases hu : u =ᶠ[f] 0
· have hau : (a * u ·) =ᶠ[f] 0 := hu.mono fun x hx => by simp [hx]
simp only [limsup_congr hu, limsup_congr hau, Pi.zero_apply, ← ENNReal.bot_eq_zero,
limsup_const_bot]
simp
· have hu_mul : ∃ᶠ x : α in f, ⊤ ≤ ite (u x = 0) (0 : ℝ≥0∞) ⊤ := by
rw [EventuallyEq, not_eventually] at hu
refine hu.mono fun x hx => ?_
rw [Pi.zero_apply] at hx
simp [hx]
have h_top_le : (f.limsup fun x : α => ite (u x = 0) (0 : ℝ≥0∞) ⊤) = ⊤ :=
eq_top_iff.mpr (le_limsup_of_frequently_le hu_mul)
have hfu : f.limsup u ≠ 0 := mt limsup_eq_zero_iff.1 hu
simp only [ha_top, top_mul', h_top_le, hfu, ite_false]
#align ennreal.limsup_const_mul ENNReal.limsup_const_mul
theorem limsup_mul_le [CountableInterFilter f] (u v : α → ℝ≥0∞) :
f.limsup (u * v) ≤ f.limsup u * f.limsup v :=
calc
f.limsup (u * v) ≤ f.limsup fun x => f.limsup u * v x := by
refine limsup_le_limsup ?_
filter_upwards [@eventually_le_limsup _ f _ u] with x hx using mul_le_mul' hx le_rfl
_ = f.limsup u * f.limsup v := limsup_const_mul
#align ennreal.limsup_mul_le ENNReal.limsup_mul_le
theorem limsup_add_le [CountableInterFilter f] (u v : α → ℝ≥0∞) :
f.limsup (u + v) ≤ f.limsup u + f.limsup v :=
sInf_le ((eventually_le_limsup u).mp
((eventually_le_limsup v).mono fun _ hxg hxf => add_le_add hxf hxg))
#align ennreal.limsup_add_le ENNReal.limsup_add_le
| Mathlib/Order/Filter/ENNReal.lean | 86 | 93 | theorem limsup_liminf_le_liminf_limsup {β} [Countable β] {f : Filter α} [CountableInterFilter f]
{g : Filter β} (u : α → β → ℝ≥0∞) :
(f.limsup fun a : α => g.liminf fun b : β => u a b) ≤
g.liminf fun b => f.limsup fun a => u a b :=
have h1 : ∀ᶠ a in f, ∀ b, u a b ≤ f.limsup fun a' => u a' b := by |
rw [eventually_countable_forall]
exact fun b => ENNReal.eventually_le_limsup fun a => u a b
sInf_le <| h1.mono fun x hx => Filter.liminf_le_liminf (Filter.eventually_of_forall hx)
| 3 | 20.085537 | 1 | 1.5 | 4 | 1,682 |
import Mathlib.FieldTheory.Normal
import Mathlib.FieldTheory.Perfect
import Mathlib.RingTheory.Localization.Integral
#align_import field_theory.is_alg_closed.basic from "leanprover-community/mathlib"@"00f91228655eecdcd3ac97a7fd8dbcb139fe990a"
universe u v w
open scoped Classical Polynomial
open Polynomial
variable (k : Type u) [Field k]
class IsAlgClosed : Prop where
splits : ∀ p : k[X], p.Splits <| RingHom.id k
#align is_alg_closed IsAlgClosed
| Mathlib/FieldTheory/IsAlgClosed/Basic.lean | 68 | 69 | theorem IsAlgClosed.splits_codomain {k K : Type*} [Field k] [IsAlgClosed k] [Field K] {f : K →+* k}
(p : K[X]) : p.Splits f := by | convert IsAlgClosed.splits (p.map f); simp [splits_map_iff]
| 1 | 2.718282 | 0 | 1.5 | 6 | 1,683 |
import Mathlib.FieldTheory.Normal
import Mathlib.FieldTheory.Perfect
import Mathlib.RingTheory.Localization.Integral
#align_import field_theory.is_alg_closed.basic from "leanprover-community/mathlib"@"00f91228655eecdcd3ac97a7fd8dbcb139fe990a"
universe u v w
open scoped Classical Polynomial
open Polynomial
variable (k : Type u) [Field k]
class IsAlgClosed : Prop where
splits : ∀ p : k[X], p.Splits <| RingHom.id k
#align is_alg_closed IsAlgClosed
theorem IsAlgClosed.splits_codomain {k K : Type*} [Field k] [IsAlgClosed k] [Field K] {f : K →+* k}
(p : K[X]) : p.Splits f := by convert IsAlgClosed.splits (p.map f); simp [splits_map_iff]
#align is_alg_closed.splits_codomain IsAlgClosed.splits_codomain
theorem IsAlgClosed.splits_domain {k K : Type*} [Field k] [IsAlgClosed k] [Field K] {f : k →+* K}
(p : k[X]) : p.Splits f :=
Polynomial.splits_of_splits_id _ <| IsAlgClosed.splits _
#align is_alg_closed.splits_domain IsAlgClosed.splits_domain
namespace IsAlgClosed
variable {k}
theorem exists_root [IsAlgClosed k] (p : k[X]) (hp : p.degree ≠ 0) : ∃ x, IsRoot p x :=
exists_root_of_splits _ (IsAlgClosed.splits p) hp
#align is_alg_closed.exists_root IsAlgClosed.exists_root
| Mathlib/FieldTheory/IsAlgClosed/Basic.lean | 89 | 96 | theorem exists_pow_nat_eq [IsAlgClosed k] (x : k) {n : ℕ} (hn : 0 < n) : ∃ z, z ^ n = x := by |
have : degree (X ^ n - C x) ≠ 0 := by
rw [degree_X_pow_sub_C hn x]
exact ne_of_gt (WithBot.coe_lt_coe.2 hn)
obtain ⟨z, hz⟩ := exists_root (X ^ n - C x) this
use z
simp only [eval_C, eval_X, eval_pow, eval_sub, IsRoot.def] at hz
exact sub_eq_zero.1 hz
| 7 | 1,096.633158 | 2 | 1.5 | 6 | 1,683 |
import Mathlib.FieldTheory.Normal
import Mathlib.FieldTheory.Perfect
import Mathlib.RingTheory.Localization.Integral
#align_import field_theory.is_alg_closed.basic from "leanprover-community/mathlib"@"00f91228655eecdcd3ac97a7fd8dbcb139fe990a"
universe u v w
open scoped Classical Polynomial
open Polynomial
variable (k : Type u) [Field k]
class IsAlgClosed : Prop where
splits : ∀ p : k[X], p.Splits <| RingHom.id k
#align is_alg_closed IsAlgClosed
theorem IsAlgClosed.splits_codomain {k K : Type*} [Field k] [IsAlgClosed k] [Field K] {f : K →+* k}
(p : K[X]) : p.Splits f := by convert IsAlgClosed.splits (p.map f); simp [splits_map_iff]
#align is_alg_closed.splits_codomain IsAlgClosed.splits_codomain
theorem IsAlgClosed.splits_domain {k K : Type*} [Field k] [IsAlgClosed k] [Field K] {f : k →+* K}
(p : k[X]) : p.Splits f :=
Polynomial.splits_of_splits_id _ <| IsAlgClosed.splits _
#align is_alg_closed.splits_domain IsAlgClosed.splits_domain
namespace IsAlgClosed
variable {k}
theorem exists_root [IsAlgClosed k] (p : k[X]) (hp : p.degree ≠ 0) : ∃ x, IsRoot p x :=
exists_root_of_splits _ (IsAlgClosed.splits p) hp
#align is_alg_closed.exists_root IsAlgClosed.exists_root
theorem exists_pow_nat_eq [IsAlgClosed k] (x : k) {n : ℕ} (hn : 0 < n) : ∃ z, z ^ n = x := by
have : degree (X ^ n - C x) ≠ 0 := by
rw [degree_X_pow_sub_C hn x]
exact ne_of_gt (WithBot.coe_lt_coe.2 hn)
obtain ⟨z, hz⟩ := exists_root (X ^ n - C x) this
use z
simp only [eval_C, eval_X, eval_pow, eval_sub, IsRoot.def] at hz
exact sub_eq_zero.1 hz
#align is_alg_closed.exists_pow_nat_eq IsAlgClosed.exists_pow_nat_eq
| Mathlib/FieldTheory/IsAlgClosed/Basic.lean | 99 | 101 | theorem exists_eq_mul_self [IsAlgClosed k] (x : k) : ∃ z, x = z * z := by |
rcases exists_pow_nat_eq x zero_lt_two with ⟨z, rfl⟩
exact ⟨z, sq z⟩
| 2 | 7.389056 | 1 | 1.5 | 6 | 1,683 |
import Mathlib.FieldTheory.Normal
import Mathlib.FieldTheory.Perfect
import Mathlib.RingTheory.Localization.Integral
#align_import field_theory.is_alg_closed.basic from "leanprover-community/mathlib"@"00f91228655eecdcd3ac97a7fd8dbcb139fe990a"
universe u v w
open scoped Classical Polynomial
open Polynomial
variable (k : Type u) [Field k]
class IsAlgClosed : Prop where
splits : ∀ p : k[X], p.Splits <| RingHom.id k
#align is_alg_closed IsAlgClosed
theorem IsAlgClosed.splits_codomain {k K : Type*} [Field k] [IsAlgClosed k] [Field K] {f : K →+* k}
(p : K[X]) : p.Splits f := by convert IsAlgClosed.splits (p.map f); simp [splits_map_iff]
#align is_alg_closed.splits_codomain IsAlgClosed.splits_codomain
theorem IsAlgClosed.splits_domain {k K : Type*} [Field k] [IsAlgClosed k] [Field K] {f : k →+* K}
(p : k[X]) : p.Splits f :=
Polynomial.splits_of_splits_id _ <| IsAlgClosed.splits _
#align is_alg_closed.splits_domain IsAlgClosed.splits_domain
namespace IsAlgClosed
variable {k}
theorem exists_root [IsAlgClosed k] (p : k[X]) (hp : p.degree ≠ 0) : ∃ x, IsRoot p x :=
exists_root_of_splits _ (IsAlgClosed.splits p) hp
#align is_alg_closed.exists_root IsAlgClosed.exists_root
theorem exists_pow_nat_eq [IsAlgClosed k] (x : k) {n : ℕ} (hn : 0 < n) : ∃ z, z ^ n = x := by
have : degree (X ^ n - C x) ≠ 0 := by
rw [degree_X_pow_sub_C hn x]
exact ne_of_gt (WithBot.coe_lt_coe.2 hn)
obtain ⟨z, hz⟩ := exists_root (X ^ n - C x) this
use z
simp only [eval_C, eval_X, eval_pow, eval_sub, IsRoot.def] at hz
exact sub_eq_zero.1 hz
#align is_alg_closed.exists_pow_nat_eq IsAlgClosed.exists_pow_nat_eq
theorem exists_eq_mul_self [IsAlgClosed k] (x : k) : ∃ z, x = z * z := by
rcases exists_pow_nat_eq x zero_lt_two with ⟨z, rfl⟩
exact ⟨z, sq z⟩
#align is_alg_closed.exists_eq_mul_self IsAlgClosed.exists_eq_mul_self
| Mathlib/FieldTheory/IsAlgClosed/Basic.lean | 104 | 111 | theorem roots_eq_zero_iff [IsAlgClosed k] {p : k[X]} :
p.roots = 0 ↔ p = Polynomial.C (p.coeff 0) := by |
refine ⟨fun h => ?_, fun hp => by rw [hp, roots_C]⟩
rcases le_or_lt (degree p) 0 with hd | hd
· exact eq_C_of_degree_le_zero hd
· obtain ⟨z, hz⟩ := IsAlgClosed.exists_root p hd.ne'
rw [← mem_roots (ne_zero_of_degree_gt hd), h] at hz
simp at hz
| 6 | 403.428793 | 2 | 1.5 | 6 | 1,683 |
import Mathlib.FieldTheory.Normal
import Mathlib.FieldTheory.Perfect
import Mathlib.RingTheory.Localization.Integral
#align_import field_theory.is_alg_closed.basic from "leanprover-community/mathlib"@"00f91228655eecdcd3ac97a7fd8dbcb139fe990a"
universe u v w
open scoped Classical Polynomial
open Polynomial
variable (k : Type u) [Field k]
class IsAlgClosed : Prop where
splits : ∀ p : k[X], p.Splits <| RingHom.id k
#align is_alg_closed IsAlgClosed
theorem IsAlgClosed.splits_codomain {k K : Type*} [Field k] [IsAlgClosed k] [Field K] {f : K →+* k}
(p : K[X]) : p.Splits f := by convert IsAlgClosed.splits (p.map f); simp [splits_map_iff]
#align is_alg_closed.splits_codomain IsAlgClosed.splits_codomain
theorem IsAlgClosed.splits_domain {k K : Type*} [Field k] [IsAlgClosed k] [Field K] {f : k →+* K}
(p : k[X]) : p.Splits f :=
Polynomial.splits_of_splits_id _ <| IsAlgClosed.splits _
#align is_alg_closed.splits_domain IsAlgClosed.splits_domain
namespace IsAlgClosed
variable {k}
theorem exists_root [IsAlgClosed k] (p : k[X]) (hp : p.degree ≠ 0) : ∃ x, IsRoot p x :=
exists_root_of_splits _ (IsAlgClosed.splits p) hp
#align is_alg_closed.exists_root IsAlgClosed.exists_root
theorem exists_pow_nat_eq [IsAlgClosed k] (x : k) {n : ℕ} (hn : 0 < n) : ∃ z, z ^ n = x := by
have : degree (X ^ n - C x) ≠ 0 := by
rw [degree_X_pow_sub_C hn x]
exact ne_of_gt (WithBot.coe_lt_coe.2 hn)
obtain ⟨z, hz⟩ := exists_root (X ^ n - C x) this
use z
simp only [eval_C, eval_X, eval_pow, eval_sub, IsRoot.def] at hz
exact sub_eq_zero.1 hz
#align is_alg_closed.exists_pow_nat_eq IsAlgClosed.exists_pow_nat_eq
theorem exists_eq_mul_self [IsAlgClosed k] (x : k) : ∃ z, x = z * z := by
rcases exists_pow_nat_eq x zero_lt_two with ⟨z, rfl⟩
exact ⟨z, sq z⟩
#align is_alg_closed.exists_eq_mul_self IsAlgClosed.exists_eq_mul_self
theorem roots_eq_zero_iff [IsAlgClosed k] {p : k[X]} :
p.roots = 0 ↔ p = Polynomial.C (p.coeff 0) := by
refine ⟨fun h => ?_, fun hp => by rw [hp, roots_C]⟩
rcases le_or_lt (degree p) 0 with hd | hd
· exact eq_C_of_degree_le_zero hd
· obtain ⟨z, hz⟩ := IsAlgClosed.exists_root p hd.ne'
rw [← mem_roots (ne_zero_of_degree_gt hd), h] at hz
simp at hz
#align is_alg_closed.roots_eq_zero_iff IsAlgClosed.roots_eq_zero_iff
theorem exists_eval₂_eq_zero_of_injective {R : Type*} [Ring R] [IsAlgClosed k] (f : R →+* k)
(hf : Function.Injective f) (p : R[X]) (hp : p.degree ≠ 0) : ∃ x, p.eval₂ f x = 0 :=
let ⟨x, hx⟩ := exists_root (p.map f) (by rwa [degree_map_eq_of_injective hf])
⟨x, by rwa [eval₂_eq_eval_map, ← IsRoot]⟩
#align is_alg_closed.exists_eval₂_eq_zero_of_injective IsAlgClosed.exists_eval₂_eq_zero_of_injective
theorem exists_eval₂_eq_zero {R : Type*} [Field R] [IsAlgClosed k] (f : R →+* k) (p : R[X])
(hp : p.degree ≠ 0) : ∃ x, p.eval₂ f x = 0 :=
exists_eval₂_eq_zero_of_injective f f.injective p hp
#align is_alg_closed.exists_eval₂_eq_zero IsAlgClosed.exists_eval₂_eq_zero
variable (k)
theorem exists_aeval_eq_zero_of_injective {R : Type*} [CommRing R] [IsAlgClosed k] [Algebra R k]
(hinj : Function.Injective (algebraMap R k)) (p : R[X]) (hp : p.degree ≠ 0) :
∃ x : k, aeval x p = 0 :=
exists_eval₂_eq_zero_of_injective (algebraMap R k) hinj p hp
#align is_alg_closed.exists_aeval_eq_zero_of_injective IsAlgClosed.exists_aeval_eq_zero_of_injective
theorem exists_aeval_eq_zero {R : Type*} [Field R] [IsAlgClosed k] [Algebra R k] (p : R[X])
(hp : p.degree ≠ 0) : ∃ x : k, aeval x p = 0 :=
exists_eval₂_eq_zero (algebraMap R k) p hp
#align is_alg_closed.exists_aeval_eq_zero IsAlgClosed.exists_aeval_eq_zero
| Mathlib/FieldTheory/IsAlgClosed/Basic.lean | 138 | 146 | theorem of_exists_root (H : ∀ p : k[X], p.Monic → Irreducible p → ∃ x, p.eval x = 0) :
IsAlgClosed k := by |
refine ⟨fun p ↦ Or.inr ?_⟩
intro q hq _
have : Irreducible (q * C (leadingCoeff q)⁻¹) := by
rw [← coe_normUnit_of_ne_zero hq.ne_zero]
exact (associated_normalize _).irreducible hq
obtain ⟨x, hx⟩ := H (q * C (leadingCoeff q)⁻¹) (monic_mul_leadingCoeff_inv hq.ne_zero) this
exact degree_mul_leadingCoeff_inv q hq.ne_zero ▸ degree_eq_one_of_irreducible_of_root this hx
| 7 | 1,096.633158 | 2 | 1.5 | 6 | 1,683 |
import Mathlib.FieldTheory.Normal
import Mathlib.FieldTheory.Perfect
import Mathlib.RingTheory.Localization.Integral
#align_import field_theory.is_alg_closed.basic from "leanprover-community/mathlib"@"00f91228655eecdcd3ac97a7fd8dbcb139fe990a"
universe u v w
open scoped Classical Polynomial
open Polynomial
variable (k : Type u) [Field k]
class IsAlgClosed : Prop where
splits : ∀ p : k[X], p.Splits <| RingHom.id k
#align is_alg_closed IsAlgClosed
theorem IsAlgClosed.splits_codomain {k K : Type*} [Field k] [IsAlgClosed k] [Field K] {f : K →+* k}
(p : K[X]) : p.Splits f := by convert IsAlgClosed.splits (p.map f); simp [splits_map_iff]
#align is_alg_closed.splits_codomain IsAlgClosed.splits_codomain
theorem IsAlgClosed.splits_domain {k K : Type*} [Field k] [IsAlgClosed k] [Field K] {f : k →+* K}
(p : k[X]) : p.Splits f :=
Polynomial.splits_of_splits_id _ <| IsAlgClosed.splits _
#align is_alg_closed.splits_domain IsAlgClosed.splits_domain
namespace IsAlgClosed
variable {k}
theorem exists_root [IsAlgClosed k] (p : k[X]) (hp : p.degree ≠ 0) : ∃ x, IsRoot p x :=
exists_root_of_splits _ (IsAlgClosed.splits p) hp
#align is_alg_closed.exists_root IsAlgClosed.exists_root
theorem exists_pow_nat_eq [IsAlgClosed k] (x : k) {n : ℕ} (hn : 0 < n) : ∃ z, z ^ n = x := by
have : degree (X ^ n - C x) ≠ 0 := by
rw [degree_X_pow_sub_C hn x]
exact ne_of_gt (WithBot.coe_lt_coe.2 hn)
obtain ⟨z, hz⟩ := exists_root (X ^ n - C x) this
use z
simp only [eval_C, eval_X, eval_pow, eval_sub, IsRoot.def] at hz
exact sub_eq_zero.1 hz
#align is_alg_closed.exists_pow_nat_eq IsAlgClosed.exists_pow_nat_eq
theorem exists_eq_mul_self [IsAlgClosed k] (x : k) : ∃ z, x = z * z := by
rcases exists_pow_nat_eq x zero_lt_two with ⟨z, rfl⟩
exact ⟨z, sq z⟩
#align is_alg_closed.exists_eq_mul_self IsAlgClosed.exists_eq_mul_self
theorem roots_eq_zero_iff [IsAlgClosed k] {p : k[X]} :
p.roots = 0 ↔ p = Polynomial.C (p.coeff 0) := by
refine ⟨fun h => ?_, fun hp => by rw [hp, roots_C]⟩
rcases le_or_lt (degree p) 0 with hd | hd
· exact eq_C_of_degree_le_zero hd
· obtain ⟨z, hz⟩ := IsAlgClosed.exists_root p hd.ne'
rw [← mem_roots (ne_zero_of_degree_gt hd), h] at hz
simp at hz
#align is_alg_closed.roots_eq_zero_iff IsAlgClosed.roots_eq_zero_iff
theorem exists_eval₂_eq_zero_of_injective {R : Type*} [Ring R] [IsAlgClosed k] (f : R →+* k)
(hf : Function.Injective f) (p : R[X]) (hp : p.degree ≠ 0) : ∃ x, p.eval₂ f x = 0 :=
let ⟨x, hx⟩ := exists_root (p.map f) (by rwa [degree_map_eq_of_injective hf])
⟨x, by rwa [eval₂_eq_eval_map, ← IsRoot]⟩
#align is_alg_closed.exists_eval₂_eq_zero_of_injective IsAlgClosed.exists_eval₂_eq_zero_of_injective
theorem exists_eval₂_eq_zero {R : Type*} [Field R] [IsAlgClosed k] (f : R →+* k) (p : R[X])
(hp : p.degree ≠ 0) : ∃ x, p.eval₂ f x = 0 :=
exists_eval₂_eq_zero_of_injective f f.injective p hp
#align is_alg_closed.exists_eval₂_eq_zero IsAlgClosed.exists_eval₂_eq_zero
variable (k)
theorem exists_aeval_eq_zero_of_injective {R : Type*} [CommRing R] [IsAlgClosed k] [Algebra R k]
(hinj : Function.Injective (algebraMap R k)) (p : R[X]) (hp : p.degree ≠ 0) :
∃ x : k, aeval x p = 0 :=
exists_eval₂_eq_zero_of_injective (algebraMap R k) hinj p hp
#align is_alg_closed.exists_aeval_eq_zero_of_injective IsAlgClosed.exists_aeval_eq_zero_of_injective
theorem exists_aeval_eq_zero {R : Type*} [Field R] [IsAlgClosed k] [Algebra R k] (p : R[X])
(hp : p.degree ≠ 0) : ∃ x : k, aeval x p = 0 :=
exists_eval₂_eq_zero (algebraMap R k) p hp
#align is_alg_closed.exists_aeval_eq_zero IsAlgClosed.exists_aeval_eq_zero
theorem of_exists_root (H : ∀ p : k[X], p.Monic → Irreducible p → ∃ x, p.eval x = 0) :
IsAlgClosed k := by
refine ⟨fun p ↦ Or.inr ?_⟩
intro q hq _
have : Irreducible (q * C (leadingCoeff q)⁻¹) := by
rw [← coe_normUnit_of_ne_zero hq.ne_zero]
exact (associated_normalize _).irreducible hq
obtain ⟨x, hx⟩ := H (q * C (leadingCoeff q)⁻¹) (monic_mul_leadingCoeff_inv hq.ne_zero) this
exact degree_mul_leadingCoeff_inv q hq.ne_zero ▸ degree_eq_one_of_irreducible_of_root this hx
#align is_alg_closed.of_exists_root IsAlgClosed.of_exists_root
| Mathlib/FieldTheory/IsAlgClosed/Basic.lean | 149 | 162 | theorem of_ringEquiv (k' : Type u) [Field k'] (e : k ≃+* k')
[IsAlgClosed k] : IsAlgClosed k' := by |
apply IsAlgClosed.of_exists_root
intro p hmp hp
have hpe : degree (p.map e.symm.toRingHom) ≠ 0 := by
rw [degree_map]
exact ne_of_gt (degree_pos_of_irreducible hp)
rcases IsAlgClosed.exists_root (k := k) (p.map e.symm) hpe with ⟨x, hx⟩
use e x
rw [IsRoot] at hx
apply e.symm.injective
rw [map_zero, ← hx]
clear hx hpe hp hmp
induction p using Polynomial.induction_on <;> simp_all
| 12 | 162,754.791419 | 2 | 1.5 | 6 | 1,683 |
import Mathlib.LinearAlgebra.CliffordAlgebra.Basic
import Mathlib.Data.ZMod.Basic
import Mathlib.RingTheory.GradedAlgebra.Basic
#align_import linear_algebra.clifford_algebra.grading from "leanprover-community/mathlib"@"34020e531ebc4e8aac6d449d9eecbcd1508ea8d0"
namespace CliffordAlgebra
variable {R M : Type*} [CommRing R] [AddCommGroup M] [Module R M]
variable {Q : QuadraticForm R M}
open scoped DirectSum
variable (Q)
def evenOdd (i : ZMod 2) : Submodule R (CliffordAlgebra Q) :=
⨆ j : { n : ℕ // ↑n = i }, LinearMap.range (ι Q) ^ (j : ℕ)
#align clifford_algebra.even_odd CliffordAlgebra.evenOdd
| Mathlib/LinearAlgebra/CliffordAlgebra/Grading.lean | 35 | 37 | theorem one_le_evenOdd_zero : 1 ≤ evenOdd Q 0 := by |
refine le_trans ?_ (le_iSup _ ⟨0, Nat.cast_zero⟩)
exact (pow_zero _).ge
| 2 | 7.389056 | 1 | 1.5 | 4 | 1,684 |
import Mathlib.LinearAlgebra.CliffordAlgebra.Basic
import Mathlib.Data.ZMod.Basic
import Mathlib.RingTheory.GradedAlgebra.Basic
#align_import linear_algebra.clifford_algebra.grading from "leanprover-community/mathlib"@"34020e531ebc4e8aac6d449d9eecbcd1508ea8d0"
namespace CliffordAlgebra
variable {R M : Type*} [CommRing R] [AddCommGroup M] [Module R M]
variable {Q : QuadraticForm R M}
open scoped DirectSum
variable (Q)
def evenOdd (i : ZMod 2) : Submodule R (CliffordAlgebra Q) :=
⨆ j : { n : ℕ // ↑n = i }, LinearMap.range (ι Q) ^ (j : ℕ)
#align clifford_algebra.even_odd CliffordAlgebra.evenOdd
theorem one_le_evenOdd_zero : 1 ≤ evenOdd Q 0 := by
refine le_trans ?_ (le_iSup _ ⟨0, Nat.cast_zero⟩)
exact (pow_zero _).ge
#align clifford_algebra.one_le_even_odd_zero CliffordAlgebra.one_le_evenOdd_zero
| Mathlib/LinearAlgebra/CliffordAlgebra/Grading.lean | 40 | 42 | theorem range_ι_le_evenOdd_one : LinearMap.range (ι Q) ≤ evenOdd Q 1 := by |
refine le_trans ?_ (le_iSup _ ⟨1, Nat.cast_one⟩)
exact (pow_one _).ge
| 2 | 7.389056 | 1 | 1.5 | 4 | 1,684 |
import Mathlib.LinearAlgebra.CliffordAlgebra.Basic
import Mathlib.Data.ZMod.Basic
import Mathlib.RingTheory.GradedAlgebra.Basic
#align_import linear_algebra.clifford_algebra.grading from "leanprover-community/mathlib"@"34020e531ebc4e8aac6d449d9eecbcd1508ea8d0"
namespace CliffordAlgebra
variable {R M : Type*} [CommRing R] [AddCommGroup M] [Module R M]
variable {Q : QuadraticForm R M}
open scoped DirectSum
variable (Q)
def evenOdd (i : ZMod 2) : Submodule R (CliffordAlgebra Q) :=
⨆ j : { n : ℕ // ↑n = i }, LinearMap.range (ι Q) ^ (j : ℕ)
#align clifford_algebra.even_odd CliffordAlgebra.evenOdd
theorem one_le_evenOdd_zero : 1 ≤ evenOdd Q 0 := by
refine le_trans ?_ (le_iSup _ ⟨0, Nat.cast_zero⟩)
exact (pow_zero _).ge
#align clifford_algebra.one_le_even_odd_zero CliffordAlgebra.one_le_evenOdd_zero
theorem range_ι_le_evenOdd_one : LinearMap.range (ι Q) ≤ evenOdd Q 1 := by
refine le_trans ?_ (le_iSup _ ⟨1, Nat.cast_one⟩)
exact (pow_one _).ge
#align clifford_algebra.range_ι_le_even_odd_one CliffordAlgebra.range_ι_le_evenOdd_one
theorem ι_mem_evenOdd_one (m : M) : ι Q m ∈ evenOdd Q 1 :=
range_ι_le_evenOdd_one Q <| LinearMap.mem_range_self _ m
#align clifford_algebra.ι_mem_even_odd_one CliffordAlgebra.ι_mem_evenOdd_one
theorem ι_mul_ι_mem_evenOdd_zero (m₁ m₂ : M) : ι Q m₁ * ι Q m₂ ∈ evenOdd Q 0 :=
Submodule.mem_iSup_of_mem ⟨2, rfl⟩
(by
rw [Subtype.coe_mk, pow_two]
exact
Submodule.mul_mem_mul (LinearMap.mem_range_self (ι Q) m₁)
(LinearMap.mem_range_self (ι Q) m₂))
#align clifford_algebra.ι_mul_ι_mem_even_odd_zero CliffordAlgebra.ι_mul_ι_mem_evenOdd_zero
| Mathlib/LinearAlgebra/CliffordAlgebra/Grading.lean | 58 | 65 | theorem evenOdd_mul_le (i j : ZMod 2) : evenOdd Q i * evenOdd Q j ≤ evenOdd Q (i + j) := by |
simp_rw [evenOdd, Submodule.iSup_eq_span, Submodule.span_mul_span]
apply Submodule.span_mono
simp_rw [Set.iUnion_mul, Set.mul_iUnion, Set.iUnion_subset_iff, Set.mul_subset_iff]
rintro ⟨xi, rfl⟩ ⟨yi, rfl⟩ x hx y hy
refine Set.mem_iUnion.mpr ⟨⟨xi + yi, Nat.cast_add _ _⟩, ?_⟩
simp only [Subtype.coe_mk, Nat.cast_add, pow_add]
exact Submodule.mul_mem_mul hx hy
| 7 | 1,096.633158 | 2 | 1.5 | 4 | 1,684 |
import Mathlib.LinearAlgebra.CliffordAlgebra.Basic
import Mathlib.Data.ZMod.Basic
import Mathlib.RingTheory.GradedAlgebra.Basic
#align_import linear_algebra.clifford_algebra.grading from "leanprover-community/mathlib"@"34020e531ebc4e8aac6d449d9eecbcd1508ea8d0"
namespace CliffordAlgebra
variable {R M : Type*} [CommRing R] [AddCommGroup M] [Module R M]
variable {Q : QuadraticForm R M}
open scoped DirectSum
variable (Q)
def evenOdd (i : ZMod 2) : Submodule R (CliffordAlgebra Q) :=
⨆ j : { n : ℕ // ↑n = i }, LinearMap.range (ι Q) ^ (j : ℕ)
#align clifford_algebra.even_odd CliffordAlgebra.evenOdd
theorem one_le_evenOdd_zero : 1 ≤ evenOdd Q 0 := by
refine le_trans ?_ (le_iSup _ ⟨0, Nat.cast_zero⟩)
exact (pow_zero _).ge
#align clifford_algebra.one_le_even_odd_zero CliffordAlgebra.one_le_evenOdd_zero
theorem range_ι_le_evenOdd_one : LinearMap.range (ι Q) ≤ evenOdd Q 1 := by
refine le_trans ?_ (le_iSup _ ⟨1, Nat.cast_one⟩)
exact (pow_one _).ge
#align clifford_algebra.range_ι_le_even_odd_one CliffordAlgebra.range_ι_le_evenOdd_one
theorem ι_mem_evenOdd_one (m : M) : ι Q m ∈ evenOdd Q 1 :=
range_ι_le_evenOdd_one Q <| LinearMap.mem_range_self _ m
#align clifford_algebra.ι_mem_even_odd_one CliffordAlgebra.ι_mem_evenOdd_one
theorem ι_mul_ι_mem_evenOdd_zero (m₁ m₂ : M) : ι Q m₁ * ι Q m₂ ∈ evenOdd Q 0 :=
Submodule.mem_iSup_of_mem ⟨2, rfl⟩
(by
rw [Subtype.coe_mk, pow_two]
exact
Submodule.mul_mem_mul (LinearMap.mem_range_self (ι Q) m₁)
(LinearMap.mem_range_self (ι Q) m₂))
#align clifford_algebra.ι_mul_ι_mem_even_odd_zero CliffordAlgebra.ι_mul_ι_mem_evenOdd_zero
theorem evenOdd_mul_le (i j : ZMod 2) : evenOdd Q i * evenOdd Q j ≤ evenOdd Q (i + j) := by
simp_rw [evenOdd, Submodule.iSup_eq_span, Submodule.span_mul_span]
apply Submodule.span_mono
simp_rw [Set.iUnion_mul, Set.mul_iUnion, Set.iUnion_subset_iff, Set.mul_subset_iff]
rintro ⟨xi, rfl⟩ ⟨yi, rfl⟩ x hx y hy
refine Set.mem_iUnion.mpr ⟨⟨xi + yi, Nat.cast_add _ _⟩, ?_⟩
simp only [Subtype.coe_mk, Nat.cast_add, pow_add]
exact Submodule.mul_mem_mul hx hy
#align clifford_algebra.even_odd_mul_le CliffordAlgebra.evenOdd_mul_le
instance evenOdd.gradedMonoid : SetLike.GradedMonoid (evenOdd Q) where
one_mem := Submodule.one_le.mp (one_le_evenOdd_zero Q)
mul_mem _i _j _p _q hp hq := Submodule.mul_le.mp (evenOdd_mul_le Q _ _) _ hp _ hq
#align clifford_algebra.even_odd.graded_monoid CliffordAlgebra.evenOdd.gradedMonoid
-- Porting note: added `protected`
protected def GradedAlgebra.ι : M →ₗ[R] ⨁ i : ZMod 2, evenOdd Q i :=
DirectSum.lof R (ZMod 2) (fun i => ↥(evenOdd Q i)) 1 ∘ₗ (ι Q).codRestrict _ (ι_mem_evenOdd_one Q)
#align clifford_algebra.graded_algebra.ι CliffordAlgebra.GradedAlgebra.ι
theorem GradedAlgebra.ι_apply (m : M) :
GradedAlgebra.ι Q m = DirectSum.of (fun i => ↥(evenOdd Q i)) 1 ⟨ι Q m, ι_mem_evenOdd_one Q m⟩ :=
rfl
#align clifford_algebra.graded_algebra.ι_apply CliffordAlgebra.GradedAlgebra.ι_apply
nonrec theorem GradedAlgebra.ι_sq_scalar (m : M) :
GradedAlgebra.ι Q m * GradedAlgebra.ι Q m = algebraMap R _ (Q m) := by
rw [GradedAlgebra.ι_apply Q, DirectSum.of_mul_of, DirectSum.algebraMap_apply]
exact DirectSum.of_eq_of_gradedMonoid_eq (Sigma.subtype_ext rfl <| ι_sq_scalar _ _)
#align clifford_algebra.graded_algebra.ι_sq_scalar CliffordAlgebra.GradedAlgebra.ι_sq_scalar
| Mathlib/LinearAlgebra/CliffordAlgebra/Grading.lean | 91 | 122 | theorem GradedAlgebra.lift_ι_eq (i' : ZMod 2) (x' : evenOdd Q i') :
-- Porting note: added a second `by apply`
lift Q ⟨by apply GradedAlgebra.ι Q, by apply GradedAlgebra.ι_sq_scalar Q⟩ x' =
DirectSum.of (fun i => evenOdd Q i) i' x' := by |
cases' x' with x' hx'
dsimp only [Subtype.coe_mk, DirectSum.lof_eq_of]
induction hx' using Submodule.iSup_induction' with
| mem i x hx =>
obtain ⟨i, rfl⟩ := i
-- Porting note: `dsimp only [Subtype.coe_mk] at hx` doesn't work, use `change` instead
change x ∈ LinearMap.range (ι Q) ^ i at hx
induction hx using Submodule.pow_induction_on_left' with
| algebraMap r =>
rw [AlgHom.commutes, DirectSum.algebraMap_apply]; rfl
| add x y i hx hy ihx ihy =>
-- Note: in #8386 `map_add` had to be specialized to avoid a timeout
-- (the definition was already very slow)
rw [AlgHom.map_add, ihx, ihy, ← AddMonoidHom.map_add]
rfl
| mem_mul m hm i x hx ih =>
obtain ⟨_, rfl⟩ := hm
rw [AlgHom.map_mul, ih, lift_ι_apply, GradedAlgebra.ι_apply Q, DirectSum.of_mul_of]
refine DirectSum.of_eq_of_gradedMonoid_eq (Sigma.subtype_ext ?_ ?_) <;>
dsimp only [GradedMonoid.mk, Subtype.coe_mk]
· rw [Nat.succ_eq_add_one, add_comm, Nat.cast_add, Nat.cast_one]
rfl
| zero =>
rw [AlgHom.map_zero]
apply Eq.symm
apply DFinsupp.single_eq_zero.mpr; rfl
| add x y hx hy ihx ihy =>
rw [AlgHom.map_add, ihx, ihy, ← AddMonoidHom.map_add]; rfl
| 28 | 1,446,257,064,291.475 | 2 | 1.5 | 4 | 1,684 |
import Mathlib.Logic.Encodable.Basic
import Mathlib.Logic.Pairwise
import Mathlib.Data.Set.Subsingleton
#align_import logic.encodable.lattice from "leanprover-community/mathlib"@"9003f28797c0664a49e4179487267c494477d853"
open Set
namespace Encodable
variable {α : Type*} {β : Type*} [Encodable β]
| Mathlib/Logic/Encodable/Lattice.lean | 30 | 33 | theorem iSup_decode₂ [CompleteLattice α] (f : β → α) :
⨆ (i : ℕ) (b ∈ decode₂ β i), f b = (⨆ b, f b) := by |
rw [iSup_comm]
simp only [mem_decode₂, iSup_iSup_eq_right]
| 2 | 7.389056 | 1 | 1.5 | 2 | 1,685 |
import Mathlib.Logic.Encodable.Basic
import Mathlib.Logic.Pairwise
import Mathlib.Data.Set.Subsingleton
#align_import logic.encodable.lattice from "leanprover-community/mathlib"@"9003f28797c0664a49e4179487267c494477d853"
open Set
namespace Encodable
variable {α : Type*} {β : Type*} [Encodable β]
theorem iSup_decode₂ [CompleteLattice α] (f : β → α) :
⨆ (i : ℕ) (b ∈ decode₂ β i), f b = (⨆ b, f b) := by
rw [iSup_comm]
simp only [mem_decode₂, iSup_iSup_eq_right]
#align encodable.supr_decode₂ Encodable.iSup_decode₂
theorem iUnion_decode₂ (f : β → Set α) : ⋃ (i : ℕ) (b ∈ decode₂ β i), f b = ⋃ b, f b :=
iSup_decode₂ f
#align encodable.Union_decode₂ Encodable.iUnion_decode₂
--@[elab_as_elim]
theorem iUnion_decode₂_cases {f : β → Set α} {C : Set α → Prop} (H0 : C ∅) (H1 : ∀ b, C (f b)) {n} :
C (⋃ b ∈ decode₂ β n, f b) :=
match decode₂ β n with
| none => by
simp only [Option.mem_def, iUnion_of_empty, iUnion_empty]
apply H0
| some b => by
convert H1 b
simp [ext_iff]
#align encodable.Union_decode₂_cases Encodable.iUnion_decode₂_cases
| Mathlib/Logic/Encodable/Lattice.lean | 53 | 59 | theorem iUnion_decode₂_disjoint_on {f : β → Set α} (hd : Pairwise (Disjoint on f)) :
Pairwise (Disjoint on fun i => ⋃ b ∈ decode₂ β i, f b) := by |
rintro i j ij
refine disjoint_left.mpr fun x => ?_
suffices ∀ a, encode a = i → x ∈ f a → ∀ b, encode b = j → x ∉ f b by simpa [decode₂_eq_some]
rintro a rfl ha b rfl hb
exact (hd (mt (congr_arg encode) ij)).le_bot ⟨ha, hb⟩
| 5 | 148.413159 | 2 | 1.5 | 2 | 1,685 |
import Mathlib.MeasureTheory.MeasurableSpace.Basic
import Mathlib.Data.Set.MemPartition
import Mathlib.Order.Filter.CountableSeparatingOn
open Set MeasureTheory
namespace MeasurableSpace
variable {α β : Type*}
class CountablyGenerated (α : Type*) [m : MeasurableSpace α] : Prop where
isCountablyGenerated : ∃ b : Set (Set α), b.Countable ∧ m = generateFrom b
#align measurable_space.countably_generated MeasurableSpace.CountablyGenerated
def countableGeneratingSet (α : Type*) [MeasurableSpace α] [h : CountablyGenerated α] :
Set (Set α) :=
insert ∅ h.isCountablyGenerated.choose
lemma countable_countableGeneratingSet [MeasurableSpace α] [h : CountablyGenerated α] :
Set.Countable (countableGeneratingSet α) :=
Countable.insert _ h.isCountablyGenerated.choose_spec.1
lemma generateFrom_countableGeneratingSet [m : MeasurableSpace α] [h : CountablyGenerated α] :
generateFrom (countableGeneratingSet α) = m :=
(generateFrom_insert_empty _).trans <| h.isCountablyGenerated.choose_spec.2.symm
lemma empty_mem_countableGeneratingSet [MeasurableSpace α] [CountablyGenerated α] :
∅ ∈ countableGeneratingSet α := mem_insert _ _
lemma nonempty_countableGeneratingSet [MeasurableSpace α] [CountablyGenerated α] :
Set.Nonempty (countableGeneratingSet α) :=
⟨∅, mem_insert _ _⟩
lemma measurableSet_countableGeneratingSet [MeasurableSpace α] [CountablyGenerated α]
{s : Set α} (hs : s ∈ countableGeneratingSet α) :
MeasurableSet s := by
rw [← generateFrom_countableGeneratingSet (α := α)]
exact measurableSet_generateFrom hs
def natGeneratingSequence (α : Type*) [MeasurableSpace α] [CountablyGenerated α] : ℕ → (Set α) :=
enumerateCountable (countable_countableGeneratingSet (α := α)) ∅
lemma generateFrom_natGeneratingSequence (α : Type*) [m : MeasurableSpace α]
[CountablyGenerated α] : generateFrom (range (natGeneratingSequence _)) = m := by
rw [natGeneratingSequence, range_enumerateCountable_of_mem _ empty_mem_countableGeneratingSet,
generateFrom_countableGeneratingSet]
lemma measurableSet_natGeneratingSequence [MeasurableSpace α] [CountablyGenerated α] (n : ℕ) :
MeasurableSet (natGeneratingSequence α n) :=
measurableSet_countableGeneratingSet $ Set.enumerateCountable_mem _
empty_mem_countableGeneratingSet n
| Mathlib/MeasureTheory/MeasurableSpace/CountablyGenerated.lean | 96 | 101 | theorem CountablyGenerated.comap [m : MeasurableSpace β] [h : CountablyGenerated β] (f : α → β) :
@CountablyGenerated α (.comap f m) := by |
rcases h with ⟨⟨b, hbc, rfl⟩⟩
rw [comap_generateFrom]
letI := generateFrom (preimage f '' b)
exact ⟨_, hbc.image _, rfl⟩
| 4 | 54.59815 | 2 | 1.5 | 4 | 1,686 |
import Mathlib.MeasureTheory.MeasurableSpace.Basic
import Mathlib.Data.Set.MemPartition
import Mathlib.Order.Filter.CountableSeparatingOn
open Set MeasureTheory
namespace MeasurableSpace
variable {α β : Type*}
class CountablyGenerated (α : Type*) [m : MeasurableSpace α] : Prop where
isCountablyGenerated : ∃ b : Set (Set α), b.Countable ∧ m = generateFrom b
#align measurable_space.countably_generated MeasurableSpace.CountablyGenerated
def countableGeneratingSet (α : Type*) [MeasurableSpace α] [h : CountablyGenerated α] :
Set (Set α) :=
insert ∅ h.isCountablyGenerated.choose
lemma countable_countableGeneratingSet [MeasurableSpace α] [h : CountablyGenerated α] :
Set.Countable (countableGeneratingSet α) :=
Countable.insert _ h.isCountablyGenerated.choose_spec.1
lemma generateFrom_countableGeneratingSet [m : MeasurableSpace α] [h : CountablyGenerated α] :
generateFrom (countableGeneratingSet α) = m :=
(generateFrom_insert_empty _).trans <| h.isCountablyGenerated.choose_spec.2.symm
lemma empty_mem_countableGeneratingSet [MeasurableSpace α] [CountablyGenerated α] :
∅ ∈ countableGeneratingSet α := mem_insert _ _
lemma nonempty_countableGeneratingSet [MeasurableSpace α] [CountablyGenerated α] :
Set.Nonempty (countableGeneratingSet α) :=
⟨∅, mem_insert _ _⟩
lemma measurableSet_countableGeneratingSet [MeasurableSpace α] [CountablyGenerated α]
{s : Set α} (hs : s ∈ countableGeneratingSet α) :
MeasurableSet s := by
rw [← generateFrom_countableGeneratingSet (α := α)]
exact measurableSet_generateFrom hs
def natGeneratingSequence (α : Type*) [MeasurableSpace α] [CountablyGenerated α] : ℕ → (Set α) :=
enumerateCountable (countable_countableGeneratingSet (α := α)) ∅
lemma generateFrom_natGeneratingSequence (α : Type*) [m : MeasurableSpace α]
[CountablyGenerated α] : generateFrom (range (natGeneratingSequence _)) = m := by
rw [natGeneratingSequence, range_enumerateCountable_of_mem _ empty_mem_countableGeneratingSet,
generateFrom_countableGeneratingSet]
lemma measurableSet_natGeneratingSequence [MeasurableSpace α] [CountablyGenerated α] (n : ℕ) :
MeasurableSet (natGeneratingSequence α n) :=
measurableSet_countableGeneratingSet $ Set.enumerateCountable_mem _
empty_mem_countableGeneratingSet n
theorem CountablyGenerated.comap [m : MeasurableSpace β] [h : CountablyGenerated β] (f : α → β) :
@CountablyGenerated α (.comap f m) := by
rcases h with ⟨⟨b, hbc, rfl⟩⟩
rw [comap_generateFrom]
letI := generateFrom (preimage f '' b)
exact ⟨_, hbc.image _, rfl⟩
| Mathlib/MeasureTheory/MeasurableSpace/CountablyGenerated.lean | 103 | 107 | theorem CountablyGenerated.sup {m₁ m₂ : MeasurableSpace β} (h₁ : @CountablyGenerated β m₁)
(h₂ : @CountablyGenerated β m₂) : @CountablyGenerated β (m₁ ⊔ m₂) := by |
rcases h₁ with ⟨⟨b₁, hb₁c, rfl⟩⟩
rcases h₂ with ⟨⟨b₂, hb₂c, rfl⟩⟩
exact @mk _ (_ ⊔ _) ⟨_, hb₁c.union hb₂c, generateFrom_sup_generateFrom⟩
| 3 | 20.085537 | 1 | 1.5 | 4 | 1,686 |
import Mathlib.MeasureTheory.MeasurableSpace.Basic
import Mathlib.Data.Set.MemPartition
import Mathlib.Order.Filter.CountableSeparatingOn
open Set MeasureTheory
namespace MeasurableSpace
variable {α β : Type*}
class CountablyGenerated (α : Type*) [m : MeasurableSpace α] : Prop where
isCountablyGenerated : ∃ b : Set (Set α), b.Countable ∧ m = generateFrom b
#align measurable_space.countably_generated MeasurableSpace.CountablyGenerated
def countableGeneratingSet (α : Type*) [MeasurableSpace α] [h : CountablyGenerated α] :
Set (Set α) :=
insert ∅ h.isCountablyGenerated.choose
lemma countable_countableGeneratingSet [MeasurableSpace α] [h : CountablyGenerated α] :
Set.Countable (countableGeneratingSet α) :=
Countable.insert _ h.isCountablyGenerated.choose_spec.1
lemma generateFrom_countableGeneratingSet [m : MeasurableSpace α] [h : CountablyGenerated α] :
generateFrom (countableGeneratingSet α) = m :=
(generateFrom_insert_empty _).trans <| h.isCountablyGenerated.choose_spec.2.symm
lemma empty_mem_countableGeneratingSet [MeasurableSpace α] [CountablyGenerated α] :
∅ ∈ countableGeneratingSet α := mem_insert _ _
lemma nonempty_countableGeneratingSet [MeasurableSpace α] [CountablyGenerated α] :
Set.Nonempty (countableGeneratingSet α) :=
⟨∅, mem_insert _ _⟩
lemma measurableSet_countableGeneratingSet [MeasurableSpace α] [CountablyGenerated α]
{s : Set α} (hs : s ∈ countableGeneratingSet α) :
MeasurableSet s := by
rw [← generateFrom_countableGeneratingSet (α := α)]
exact measurableSet_generateFrom hs
def natGeneratingSequence (α : Type*) [MeasurableSpace α] [CountablyGenerated α] : ℕ → (Set α) :=
enumerateCountable (countable_countableGeneratingSet (α := α)) ∅
lemma generateFrom_natGeneratingSequence (α : Type*) [m : MeasurableSpace α]
[CountablyGenerated α] : generateFrom (range (natGeneratingSequence _)) = m := by
rw [natGeneratingSequence, range_enumerateCountable_of_mem _ empty_mem_countableGeneratingSet,
generateFrom_countableGeneratingSet]
lemma measurableSet_natGeneratingSequence [MeasurableSpace α] [CountablyGenerated α] (n : ℕ) :
MeasurableSet (natGeneratingSequence α n) :=
measurableSet_countableGeneratingSet $ Set.enumerateCountable_mem _
empty_mem_countableGeneratingSet n
theorem CountablyGenerated.comap [m : MeasurableSpace β] [h : CountablyGenerated β] (f : α → β) :
@CountablyGenerated α (.comap f m) := by
rcases h with ⟨⟨b, hbc, rfl⟩⟩
rw [comap_generateFrom]
letI := generateFrom (preimage f '' b)
exact ⟨_, hbc.image _, rfl⟩
theorem CountablyGenerated.sup {m₁ m₂ : MeasurableSpace β} (h₁ : @CountablyGenerated β m₁)
(h₂ : @CountablyGenerated β m₂) : @CountablyGenerated β (m₁ ⊔ m₂) := by
rcases h₁ with ⟨⟨b₁, hb₁c, rfl⟩⟩
rcases h₂ with ⟨⟨b₂, hb₂c, rfl⟩⟩
exact @mk _ (_ ⊔ _) ⟨_, hb₁c.union hb₂c, generateFrom_sup_generateFrom⟩
instance (priority := 100) [MeasurableSpace α] [Countable α] : CountablyGenerated α where
isCountablyGenerated := by
refine ⟨⋃ y, {measurableAtom y}, countable_iUnion (fun i ↦ countable_singleton _), ?_⟩
refine le_antisymm ?_ (generateFrom_le (by simp [MeasurableSet.measurableAtom_of_countable]))
intro s hs
have : s = ⋃ y ∈ s, measurableAtom y := by
apply Subset.antisymm
· intro x hx
simpa using ⟨x, hx, by simp⟩
· simp only [iUnion_subset_iff]
intro x hx
exact measurableAtom_subset hs hx
rw [this]
apply MeasurableSet.biUnion (to_countable s) (fun x _hx ↦ ?_)
apply measurableSet_generateFrom
simp
instance [MeasurableSpace α] [CountablyGenerated α] {p : α → Prop} :
CountablyGenerated { x // p x } := .comap _
instance [MeasurableSpace α] [CountablyGenerated α] [MeasurableSpace β] [CountablyGenerated β] :
CountablyGenerated (α × β) :=
.sup (.comap Prod.fst) (.comap Prod.snd)
section SeparatesPoints
class SeparatesPoints (α : Type*) [m : MeasurableSpace α] : Prop where
separates : ∀ x y : α, (∀ s, MeasurableSet s → (x ∈ s → y ∈ s)) → x = y
theorem separatesPoints_def [MeasurableSpace α] [hs : SeparatesPoints α] {x y : α}
(h : ∀ s, MeasurableSet s → (x ∈ s → y ∈ s)) : x = y := hs.separates _ _ h
| Mathlib/MeasureTheory/MeasurableSpace/CountablyGenerated.lean | 144 | 147 | theorem exists_measurableSet_of_ne [MeasurableSpace α] [SeparatesPoints α] {x y : α}
(h : x ≠ y) : ∃ s, MeasurableSet s ∧ x ∈ s ∧ y ∉ s := by |
contrapose! h
exact separatesPoints_def h
| 2 | 7.389056 | 1 | 1.5 | 4 | 1,686 |
import Mathlib.MeasureTheory.MeasurableSpace.Basic
import Mathlib.Data.Set.MemPartition
import Mathlib.Order.Filter.CountableSeparatingOn
open Set MeasureTheory
namespace MeasurableSpace
variable {α β : Type*}
class CountablyGenerated (α : Type*) [m : MeasurableSpace α] : Prop where
isCountablyGenerated : ∃ b : Set (Set α), b.Countable ∧ m = generateFrom b
#align measurable_space.countably_generated MeasurableSpace.CountablyGenerated
def countableGeneratingSet (α : Type*) [MeasurableSpace α] [h : CountablyGenerated α] :
Set (Set α) :=
insert ∅ h.isCountablyGenerated.choose
lemma countable_countableGeneratingSet [MeasurableSpace α] [h : CountablyGenerated α] :
Set.Countable (countableGeneratingSet α) :=
Countable.insert _ h.isCountablyGenerated.choose_spec.1
lemma generateFrom_countableGeneratingSet [m : MeasurableSpace α] [h : CountablyGenerated α] :
generateFrom (countableGeneratingSet α) = m :=
(generateFrom_insert_empty _).trans <| h.isCountablyGenerated.choose_spec.2.symm
lemma empty_mem_countableGeneratingSet [MeasurableSpace α] [CountablyGenerated α] :
∅ ∈ countableGeneratingSet α := mem_insert _ _
lemma nonempty_countableGeneratingSet [MeasurableSpace α] [CountablyGenerated α] :
Set.Nonempty (countableGeneratingSet α) :=
⟨∅, mem_insert _ _⟩
lemma measurableSet_countableGeneratingSet [MeasurableSpace α] [CountablyGenerated α]
{s : Set α} (hs : s ∈ countableGeneratingSet α) :
MeasurableSet s := by
rw [← generateFrom_countableGeneratingSet (α := α)]
exact measurableSet_generateFrom hs
def natGeneratingSequence (α : Type*) [MeasurableSpace α] [CountablyGenerated α] : ℕ → (Set α) :=
enumerateCountable (countable_countableGeneratingSet (α := α)) ∅
lemma generateFrom_natGeneratingSequence (α : Type*) [m : MeasurableSpace α]
[CountablyGenerated α] : generateFrom (range (natGeneratingSequence _)) = m := by
rw [natGeneratingSequence, range_enumerateCountable_of_mem _ empty_mem_countableGeneratingSet,
generateFrom_countableGeneratingSet]
lemma measurableSet_natGeneratingSequence [MeasurableSpace α] [CountablyGenerated α] (n : ℕ) :
MeasurableSet (natGeneratingSequence α n) :=
measurableSet_countableGeneratingSet $ Set.enumerateCountable_mem _
empty_mem_countableGeneratingSet n
theorem CountablyGenerated.comap [m : MeasurableSpace β] [h : CountablyGenerated β] (f : α → β) :
@CountablyGenerated α (.comap f m) := by
rcases h with ⟨⟨b, hbc, rfl⟩⟩
rw [comap_generateFrom]
letI := generateFrom (preimage f '' b)
exact ⟨_, hbc.image _, rfl⟩
theorem CountablyGenerated.sup {m₁ m₂ : MeasurableSpace β} (h₁ : @CountablyGenerated β m₁)
(h₂ : @CountablyGenerated β m₂) : @CountablyGenerated β (m₁ ⊔ m₂) := by
rcases h₁ with ⟨⟨b₁, hb₁c, rfl⟩⟩
rcases h₂ with ⟨⟨b₂, hb₂c, rfl⟩⟩
exact @mk _ (_ ⊔ _) ⟨_, hb₁c.union hb₂c, generateFrom_sup_generateFrom⟩
instance (priority := 100) [MeasurableSpace α] [Countable α] : CountablyGenerated α where
isCountablyGenerated := by
refine ⟨⋃ y, {measurableAtom y}, countable_iUnion (fun i ↦ countable_singleton _), ?_⟩
refine le_antisymm ?_ (generateFrom_le (by simp [MeasurableSet.measurableAtom_of_countable]))
intro s hs
have : s = ⋃ y ∈ s, measurableAtom y := by
apply Subset.antisymm
· intro x hx
simpa using ⟨x, hx, by simp⟩
· simp only [iUnion_subset_iff]
intro x hx
exact measurableAtom_subset hs hx
rw [this]
apply MeasurableSet.biUnion (to_countable s) (fun x _hx ↦ ?_)
apply measurableSet_generateFrom
simp
instance [MeasurableSpace α] [CountablyGenerated α] {p : α → Prop} :
CountablyGenerated { x // p x } := .comap _
instance [MeasurableSpace α] [CountablyGenerated α] [MeasurableSpace β] [CountablyGenerated β] :
CountablyGenerated (α × β) :=
.sup (.comap Prod.fst) (.comap Prod.snd)
section SeparatesPoints
class SeparatesPoints (α : Type*) [m : MeasurableSpace α] : Prop where
separates : ∀ x y : α, (∀ s, MeasurableSet s → (x ∈ s → y ∈ s)) → x = y
theorem separatesPoints_def [MeasurableSpace α] [hs : SeparatesPoints α] {x y : α}
(h : ∀ s, MeasurableSet s → (x ∈ s → y ∈ s)) : x = y := hs.separates _ _ h
theorem exists_measurableSet_of_ne [MeasurableSpace α] [SeparatesPoints α] {x y : α}
(h : x ≠ y) : ∃ s, MeasurableSet s ∧ x ∈ s ∧ y ∉ s := by
contrapose! h
exact separatesPoints_def h
theorem separatesPoints_iff [MeasurableSpace α] : SeparatesPoints α ↔
∀ x y : α, (∀ s, MeasurableSet s → (x ∈ s ↔ y ∈ s)) → x = y :=
⟨fun h ↦ fun _ _ hxy ↦ h.separates _ _ fun _ hs xs ↦ (hxy _ hs).mp xs,
fun h ↦ ⟨fun _ _ hxy ↦ h _ _ fun _ hs ↦
⟨fun xs ↦ hxy _ hs xs, not_imp_not.mp fun xs ↦ hxy _ hs.compl xs⟩⟩⟩
| Mathlib/MeasureTheory/MeasurableSpace/CountablyGenerated.lean | 157 | 163 | theorem separating_of_generateFrom (S : Set (Set α))
[h : @SeparatesPoints α (generateFrom S)] :
∀ x y : α, (∀ s ∈ S, x ∈ s ↔ y ∈ s) → x = y := by |
letI := generateFrom S
intros x y hxy
rw [← forall_generateFrom_mem_iff_mem_iff] at hxy
exact separatesPoints_def $ fun _ hs ↦ (hxy _ hs).mp
| 4 | 54.59815 | 2 | 1.5 | 4 | 1,686 |
import Mathlib.CategoryTheory.Adjunction.FullyFaithful
import Mathlib.CategoryTheory.Adjunction.Limits
import Mathlib.CategoryTheory.Limits.Shapes.CommSq
import Mathlib.CategoryTheory.Limits.Shapes.StrictInitial
import Mathlib.CategoryTheory.Limits.FunctorCategory
import Mathlib.CategoryTheory.Limits.Constructions.FiniteProductsOfBinaryProducts
#align_import category_theory.extensive from "leanprover-community/mathlib"@"178a32653e369dce2da68dc6b2694e385d484ef1"
open CategoryTheory.Limits
namespace CategoryTheory
universe v' u' v u
variable {J : Type v'} [Category.{u'} J] {C : Type u} [Category.{v} C]
variable {K : Type*} [Category K] {D : Type*} [Category D]
section NatTrans
def NatTrans.Equifibered {F G : J ⥤ C} (α : F ⟶ G) : Prop :=
∀ ⦃i j : J⦄ (f : i ⟶ j), IsPullback (F.map f) (α.app i) (α.app j) (G.map f)
#align category_theory.nat_trans.equifibered CategoryTheory.NatTrans.Equifibered
theorem NatTrans.equifibered_of_isIso {F G : J ⥤ C} (α : F ⟶ G) [IsIso α] : Equifibered α :=
fun _ _ f => IsPullback.of_vert_isIso ⟨NatTrans.naturality _ f⟩
#align category_theory.nat_trans.equifibered_of_is_iso CategoryTheory.NatTrans.equifibered_of_isIso
theorem NatTrans.Equifibered.comp {F G H : J ⥤ C} {α : F ⟶ G} {β : G ⟶ H} (hα : Equifibered α)
(hβ : Equifibered β) : Equifibered (α ≫ β) :=
fun _ _ f => (hα f).paste_vert (hβ f)
#align category_theory.nat_trans.equifibered.comp CategoryTheory.NatTrans.Equifibered.comp
theorem NatTrans.Equifibered.whiskerRight {F G : J ⥤ C} {α : F ⟶ G} (hα : Equifibered α)
(H : C ⥤ D) [∀ (i j : J) (f : j ⟶ i), PreservesLimit (cospan (α.app i) (G.map f)) H] :
Equifibered (whiskerRight α H) :=
fun _ _ f => (hα f).map H
#align category_theory.nat_trans.equifibered.whisker_right CategoryTheory.NatTrans.Equifibered.whiskerRight
theorem NatTrans.Equifibered.whiskerLeft {K : Type*} [Category K] {F G : J ⥤ C} {α : F ⟶ G}
(hα : Equifibered α) (H : K ⥤ J) : Equifibered (whiskerLeft H α) :=
fun _ _ f => hα (H.map f)
| Mathlib/CategoryTheory/Limits/VanKampen.lean | 75 | 80 | theorem mapPair_equifibered {F F' : Discrete WalkingPair ⥤ C} (α : F ⟶ F') :
NatTrans.Equifibered α := by |
rintro ⟨⟨⟩⟩ ⟨j⟩ ⟨⟨rfl : _ = j⟩⟩
all_goals
dsimp; simp only [Discrete.functor_map_id]
exact IsPullback.of_horiz_isIso ⟨by simp only [Category.comp_id, Category.id_comp]⟩
| 4 | 54.59815 | 2 | 1.5 | 2 | 1,687 |
import Mathlib.CategoryTheory.Adjunction.FullyFaithful
import Mathlib.CategoryTheory.Adjunction.Limits
import Mathlib.CategoryTheory.Limits.Shapes.CommSq
import Mathlib.CategoryTheory.Limits.Shapes.StrictInitial
import Mathlib.CategoryTheory.Limits.FunctorCategory
import Mathlib.CategoryTheory.Limits.Constructions.FiniteProductsOfBinaryProducts
#align_import category_theory.extensive from "leanprover-community/mathlib"@"178a32653e369dce2da68dc6b2694e385d484ef1"
open CategoryTheory.Limits
namespace CategoryTheory
universe v' u' v u
variable {J : Type v'} [Category.{u'} J] {C : Type u} [Category.{v} C]
variable {K : Type*} [Category K] {D : Type*} [Category D]
section NatTrans
def NatTrans.Equifibered {F G : J ⥤ C} (α : F ⟶ G) : Prop :=
∀ ⦃i j : J⦄ (f : i ⟶ j), IsPullback (F.map f) (α.app i) (α.app j) (G.map f)
#align category_theory.nat_trans.equifibered CategoryTheory.NatTrans.Equifibered
theorem NatTrans.equifibered_of_isIso {F G : J ⥤ C} (α : F ⟶ G) [IsIso α] : Equifibered α :=
fun _ _ f => IsPullback.of_vert_isIso ⟨NatTrans.naturality _ f⟩
#align category_theory.nat_trans.equifibered_of_is_iso CategoryTheory.NatTrans.equifibered_of_isIso
theorem NatTrans.Equifibered.comp {F G H : J ⥤ C} {α : F ⟶ G} {β : G ⟶ H} (hα : Equifibered α)
(hβ : Equifibered β) : Equifibered (α ≫ β) :=
fun _ _ f => (hα f).paste_vert (hβ f)
#align category_theory.nat_trans.equifibered.comp CategoryTheory.NatTrans.Equifibered.comp
theorem NatTrans.Equifibered.whiskerRight {F G : J ⥤ C} {α : F ⟶ G} (hα : Equifibered α)
(H : C ⥤ D) [∀ (i j : J) (f : j ⟶ i), PreservesLimit (cospan (α.app i) (G.map f)) H] :
Equifibered (whiskerRight α H) :=
fun _ _ f => (hα f).map H
#align category_theory.nat_trans.equifibered.whisker_right CategoryTheory.NatTrans.Equifibered.whiskerRight
theorem NatTrans.Equifibered.whiskerLeft {K : Type*} [Category K] {F G : J ⥤ C} {α : F ⟶ G}
(hα : Equifibered α) (H : K ⥤ J) : Equifibered (whiskerLeft H α) :=
fun _ _ f => hα (H.map f)
theorem mapPair_equifibered {F F' : Discrete WalkingPair ⥤ C} (α : F ⟶ F') :
NatTrans.Equifibered α := by
rintro ⟨⟨⟩⟩ ⟨j⟩ ⟨⟨rfl : _ = j⟩⟩
all_goals
dsimp; simp only [Discrete.functor_map_id]
exact IsPullback.of_horiz_isIso ⟨by simp only [Category.comp_id, Category.id_comp]⟩
#align category_theory.map_pair_equifibered CategoryTheory.mapPair_equifibered
| Mathlib/CategoryTheory/Limits/VanKampen.lean | 83 | 87 | theorem NatTrans.equifibered_of_discrete {ι : Type*} {F G : Discrete ι ⥤ C}
(α : F ⟶ G) : NatTrans.Equifibered α := by |
rintro ⟨i⟩ ⟨j⟩ ⟨⟨rfl : i = j⟩⟩
simp only [Discrete.functor_map_id]
exact IsPullback.of_horiz_isIso ⟨by rw [Category.id_comp, Category.comp_id]⟩
| 3 | 20.085537 | 1 | 1.5 | 2 | 1,687 |
import Mathlib.FieldTheory.Finite.Basic
import Mathlib.Order.Filter.Cofinite
#align_import number_theory.fermat_psp from "leanprover-community/mathlib"@"c0439b4877c24a117bfdd9e32faf62eee9b115eb"
namespace Nat
def ProbablePrime (n b : ℕ) : Prop :=
n ∣ b ^ (n - 1) - 1
#align fermat_psp.probable_prime Nat.ProbablePrime
def FermatPsp (n b : ℕ) : Prop :=
ProbablePrime n b ∧ ¬n.Prime ∧ 1 < n
#align fermat_psp Nat.FermatPsp
instance decidableProbablePrime (n b : ℕ) : Decidable (ProbablePrime n b) :=
Nat.decidable_dvd _ _
#align fermat_psp.decidable_probable_prime Nat.decidableProbablePrime
instance decidablePsp (n b : ℕ) : Decidable (FermatPsp n b) :=
And.decidable
#align fermat_psp.decidable_psp Nat.decidablePsp
| Mathlib/NumberTheory/FermatPsp.lean | 75 | 99 | theorem coprime_of_probablePrime {n b : ℕ} (h : ProbablePrime n b) (h₁ : 1 ≤ n) (h₂ : 1 ≤ b) :
Nat.Coprime n b := by |
by_cases h₃ : 2 ≤ n
· -- To prove that `n` is coprime with `b`, we need to show that for all prime factors of `n`,
-- we can derive a contradiction if `n` divides `b`.
apply Nat.coprime_of_dvd
-- If `k` is a prime number that divides both `n` and `b`, then we know that `n = m * k` and
-- `b = j * k` for some natural numbers `m` and `j`. We substitute these into the hypothesis.
rintro k hk ⟨m, rfl⟩ ⟨j, rfl⟩
-- Because prime numbers do not divide 1, it suffices to show that `k ∣ 1` to prove a
-- contradiction
apply Nat.Prime.not_dvd_one hk
-- Since `n` divides `b ^ (n - 1) - 1`, `k` also divides `b ^ (n - 1) - 1`
replace h := dvd_of_mul_right_dvd h
-- Because `k` divides `b ^ (n - 1) - 1`, if we can show that `k` also divides `b ^ (n - 1)`,
-- then we know `k` divides 1.
rw [Nat.dvd_add_iff_right h, Nat.sub_add_cancel (Nat.one_le_pow _ _ h₂)]
-- Since `k` divides `b`, `k` also divides any power of `b` except `b ^ 0`. Therefore, it
-- suffices to show that `n - 1` isn't zero. However, we know that `n - 1` isn't zero because we
-- assumed `2 ≤ n` when doing `by_cases`.
refine dvd_of_mul_right_dvd (dvd_pow_self (k * j) ?_)
omega
-- If `n = 1`, then it follows trivially that `n` is coprime with `b`.
· rw [show n = 1 by omega]
norm_num
| 23 | 9,744,803,446.248903 | 2 | 1.5 | 4 | 1,688 |
import Mathlib.FieldTheory.Finite.Basic
import Mathlib.Order.Filter.Cofinite
#align_import number_theory.fermat_psp from "leanprover-community/mathlib"@"c0439b4877c24a117bfdd9e32faf62eee9b115eb"
namespace Nat
def ProbablePrime (n b : ℕ) : Prop :=
n ∣ b ^ (n - 1) - 1
#align fermat_psp.probable_prime Nat.ProbablePrime
def FermatPsp (n b : ℕ) : Prop :=
ProbablePrime n b ∧ ¬n.Prime ∧ 1 < n
#align fermat_psp Nat.FermatPsp
instance decidableProbablePrime (n b : ℕ) : Decidable (ProbablePrime n b) :=
Nat.decidable_dvd _ _
#align fermat_psp.decidable_probable_prime Nat.decidableProbablePrime
instance decidablePsp (n b : ℕ) : Decidable (FermatPsp n b) :=
And.decidable
#align fermat_psp.decidable_psp Nat.decidablePsp
theorem coprime_of_probablePrime {n b : ℕ} (h : ProbablePrime n b) (h₁ : 1 ≤ n) (h₂ : 1 ≤ b) :
Nat.Coprime n b := by
by_cases h₃ : 2 ≤ n
· -- To prove that `n` is coprime with `b`, we need to show that for all prime factors of `n`,
-- we can derive a contradiction if `n` divides `b`.
apply Nat.coprime_of_dvd
-- If `k` is a prime number that divides both `n` and `b`, then we know that `n = m * k` and
-- `b = j * k` for some natural numbers `m` and `j`. We substitute these into the hypothesis.
rintro k hk ⟨m, rfl⟩ ⟨j, rfl⟩
-- Because prime numbers do not divide 1, it suffices to show that `k ∣ 1` to prove a
-- contradiction
apply Nat.Prime.not_dvd_one hk
-- Since `n` divides `b ^ (n - 1) - 1`, `k` also divides `b ^ (n - 1) - 1`
replace h := dvd_of_mul_right_dvd h
-- Because `k` divides `b ^ (n - 1) - 1`, if we can show that `k` also divides `b ^ (n - 1)`,
-- then we know `k` divides 1.
rw [Nat.dvd_add_iff_right h, Nat.sub_add_cancel (Nat.one_le_pow _ _ h₂)]
-- Since `k` divides `b`, `k` also divides any power of `b` except `b ^ 0`. Therefore, it
-- suffices to show that `n - 1` isn't zero. However, we know that `n - 1` isn't zero because we
-- assumed `2 ≤ n` when doing `by_cases`.
refine dvd_of_mul_right_dvd (dvd_pow_self (k * j) ?_)
omega
-- If `n = 1`, then it follows trivially that `n` is coprime with `b`.
· rw [show n = 1 by omega]
norm_num
#align fermat_psp.coprime_of_probable_prime Nat.coprime_of_probablePrime
| Mathlib/NumberTheory/FermatPsp.lean | 102 | 112 | theorem probablePrime_iff_modEq (n : ℕ) {b : ℕ} (h : 1 ≤ b) :
ProbablePrime n b ↔ b ^ (n - 1) ≡ 1 [MOD n] := by |
have : 1 ≤ b ^ (n - 1) := one_le_pow_of_one_le h (n - 1)
-- For exact mod_cast
rw [Nat.ModEq.comm]
constructor
· intro h₁
apply Nat.modEq_of_dvd
exact mod_cast h₁
· intro h₁
exact mod_cast Nat.ModEq.dvd h₁
| 9 | 8,103.083928 | 2 | 1.5 | 4 | 1,688 |
import Mathlib.FieldTheory.Finite.Basic
import Mathlib.Order.Filter.Cofinite
#align_import number_theory.fermat_psp from "leanprover-community/mathlib"@"c0439b4877c24a117bfdd9e32faf62eee9b115eb"
namespace Nat
def ProbablePrime (n b : ℕ) : Prop :=
n ∣ b ^ (n - 1) - 1
#align fermat_psp.probable_prime Nat.ProbablePrime
def FermatPsp (n b : ℕ) : Prop :=
ProbablePrime n b ∧ ¬n.Prime ∧ 1 < n
#align fermat_psp Nat.FermatPsp
instance decidableProbablePrime (n b : ℕ) : Decidable (ProbablePrime n b) :=
Nat.decidable_dvd _ _
#align fermat_psp.decidable_probable_prime Nat.decidableProbablePrime
instance decidablePsp (n b : ℕ) : Decidable (FermatPsp n b) :=
And.decidable
#align fermat_psp.decidable_psp Nat.decidablePsp
theorem coprime_of_probablePrime {n b : ℕ} (h : ProbablePrime n b) (h₁ : 1 ≤ n) (h₂ : 1 ≤ b) :
Nat.Coprime n b := by
by_cases h₃ : 2 ≤ n
· -- To prove that `n` is coprime with `b`, we need to show that for all prime factors of `n`,
-- we can derive a contradiction if `n` divides `b`.
apply Nat.coprime_of_dvd
-- If `k` is a prime number that divides both `n` and `b`, then we know that `n = m * k` and
-- `b = j * k` for some natural numbers `m` and `j`. We substitute these into the hypothesis.
rintro k hk ⟨m, rfl⟩ ⟨j, rfl⟩
-- Because prime numbers do not divide 1, it suffices to show that `k ∣ 1` to prove a
-- contradiction
apply Nat.Prime.not_dvd_one hk
-- Since `n` divides `b ^ (n - 1) - 1`, `k` also divides `b ^ (n - 1) - 1`
replace h := dvd_of_mul_right_dvd h
-- Because `k` divides `b ^ (n - 1) - 1`, if we can show that `k` also divides `b ^ (n - 1)`,
-- then we know `k` divides 1.
rw [Nat.dvd_add_iff_right h, Nat.sub_add_cancel (Nat.one_le_pow _ _ h₂)]
-- Since `k` divides `b`, `k` also divides any power of `b` except `b ^ 0`. Therefore, it
-- suffices to show that `n - 1` isn't zero. However, we know that `n - 1` isn't zero because we
-- assumed `2 ≤ n` when doing `by_cases`.
refine dvd_of_mul_right_dvd (dvd_pow_self (k * j) ?_)
omega
-- If `n = 1`, then it follows trivially that `n` is coprime with `b`.
· rw [show n = 1 by omega]
norm_num
#align fermat_psp.coprime_of_probable_prime Nat.coprime_of_probablePrime
theorem probablePrime_iff_modEq (n : ℕ) {b : ℕ} (h : 1 ≤ b) :
ProbablePrime n b ↔ b ^ (n - 1) ≡ 1 [MOD n] := by
have : 1 ≤ b ^ (n - 1) := one_le_pow_of_one_le h (n - 1)
-- For exact mod_cast
rw [Nat.ModEq.comm]
constructor
· intro h₁
apply Nat.modEq_of_dvd
exact mod_cast h₁
· intro h₁
exact mod_cast Nat.ModEq.dvd h₁
#align fermat_psp.probable_prime_iff_modeq Nat.probablePrime_iff_modEq
| Mathlib/NumberTheory/FermatPsp.lean | 120 | 122 | theorem coprime_of_fermatPsp {n b : ℕ} (h : FermatPsp n b) (h₁ : 1 ≤ b) : Nat.Coprime n b := by |
rcases h with ⟨hp, _, hn₂⟩
exact coprime_of_probablePrime hp (by omega) h₁
| 2 | 7.389056 | 1 | 1.5 | 4 | 1,688 |
import Mathlib.FieldTheory.Finite.Basic
import Mathlib.Order.Filter.Cofinite
#align_import number_theory.fermat_psp from "leanprover-community/mathlib"@"c0439b4877c24a117bfdd9e32faf62eee9b115eb"
namespace Nat
def ProbablePrime (n b : ℕ) : Prop :=
n ∣ b ^ (n - 1) - 1
#align fermat_psp.probable_prime Nat.ProbablePrime
def FermatPsp (n b : ℕ) : Prop :=
ProbablePrime n b ∧ ¬n.Prime ∧ 1 < n
#align fermat_psp Nat.FermatPsp
instance decidableProbablePrime (n b : ℕ) : Decidable (ProbablePrime n b) :=
Nat.decidable_dvd _ _
#align fermat_psp.decidable_probable_prime Nat.decidableProbablePrime
instance decidablePsp (n b : ℕ) : Decidable (FermatPsp n b) :=
And.decidable
#align fermat_psp.decidable_psp Nat.decidablePsp
theorem coprime_of_probablePrime {n b : ℕ} (h : ProbablePrime n b) (h₁ : 1 ≤ n) (h₂ : 1 ≤ b) :
Nat.Coprime n b := by
by_cases h₃ : 2 ≤ n
· -- To prove that `n` is coprime with `b`, we need to show that for all prime factors of `n`,
-- we can derive a contradiction if `n` divides `b`.
apply Nat.coprime_of_dvd
-- If `k` is a prime number that divides both `n` and `b`, then we know that `n = m * k` and
-- `b = j * k` for some natural numbers `m` and `j`. We substitute these into the hypothesis.
rintro k hk ⟨m, rfl⟩ ⟨j, rfl⟩
-- Because prime numbers do not divide 1, it suffices to show that `k ∣ 1` to prove a
-- contradiction
apply Nat.Prime.not_dvd_one hk
-- Since `n` divides `b ^ (n - 1) - 1`, `k` also divides `b ^ (n - 1) - 1`
replace h := dvd_of_mul_right_dvd h
-- Because `k` divides `b ^ (n - 1) - 1`, if we can show that `k` also divides `b ^ (n - 1)`,
-- then we know `k` divides 1.
rw [Nat.dvd_add_iff_right h, Nat.sub_add_cancel (Nat.one_le_pow _ _ h₂)]
-- Since `k` divides `b`, `k` also divides any power of `b` except `b ^ 0`. Therefore, it
-- suffices to show that `n - 1` isn't zero. However, we know that `n - 1` isn't zero because we
-- assumed `2 ≤ n` when doing `by_cases`.
refine dvd_of_mul_right_dvd (dvd_pow_self (k * j) ?_)
omega
-- If `n = 1`, then it follows trivially that `n` is coprime with `b`.
· rw [show n = 1 by omega]
norm_num
#align fermat_psp.coprime_of_probable_prime Nat.coprime_of_probablePrime
theorem probablePrime_iff_modEq (n : ℕ) {b : ℕ} (h : 1 ≤ b) :
ProbablePrime n b ↔ b ^ (n - 1) ≡ 1 [MOD n] := by
have : 1 ≤ b ^ (n - 1) := one_le_pow_of_one_le h (n - 1)
-- For exact mod_cast
rw [Nat.ModEq.comm]
constructor
· intro h₁
apply Nat.modEq_of_dvd
exact mod_cast h₁
· intro h₁
exact mod_cast Nat.ModEq.dvd h₁
#align fermat_psp.probable_prime_iff_modeq Nat.probablePrime_iff_modEq
theorem coprime_of_fermatPsp {n b : ℕ} (h : FermatPsp n b) (h₁ : 1 ≤ b) : Nat.Coprime n b := by
rcases h with ⟨hp, _, hn₂⟩
exact coprime_of_probablePrime hp (by omega) h₁
#align fermat_psp.coprime_of_fermat_psp Nat.coprime_of_fermatPsp
| Mathlib/NumberTheory/FermatPsp.lean | 127 | 130 | theorem fermatPsp_base_one {n : ℕ} (h₁ : 1 < n) (h₂ : ¬n.Prime) : FermatPsp n 1 := by |
refine ⟨show n ∣ 1 ^ (n - 1) - 1 from ?_, h₂, h₁⟩
exact show 0 = 1 ^ (n - 1) - 1 by
set_option tactic.skipAssignedInstances false in norm_num ▸ dvd_zero n
| 3 | 20.085537 | 1 | 1.5 | 4 | 1,688 |
import Mathlib.NumberTheory.Cyclotomic.PrimitiveRoots
import Mathlib.NumberTheory.NumberField.Embeddings
universe u
namespace IsCyclotomicExtension.Rat
open NumberField InfinitePlace FiniteDimensional Complex Nat Polynomial
variable {n : ℕ+} (K : Type u) [Field K] [CharZero K]
| Mathlib/NumberTheory/Cyclotomic/Embeddings.lean | 30 | 35 | theorem nrRealPlaces_eq_zero [IsCyclotomicExtension {n} ℚ K]
(hn : 2 < n) :
haveI := IsCyclotomicExtension.numberField {n} ℚ K
NrRealPlaces K = 0 := by |
have := IsCyclotomicExtension.numberField {n} ℚ K
apply (IsCyclotomicExtension.zeta_spec n ℚ K).nrRealPlaces_eq_zero_of_two_lt hn
| 2 | 7.389056 | 1 | 1.5 | 2 | 1,689 |
import Mathlib.NumberTheory.Cyclotomic.PrimitiveRoots
import Mathlib.NumberTheory.NumberField.Embeddings
universe u
namespace IsCyclotomicExtension.Rat
open NumberField InfinitePlace FiniteDimensional Complex Nat Polynomial
variable {n : ℕ+} (K : Type u) [Field K] [CharZero K]
theorem nrRealPlaces_eq_zero [IsCyclotomicExtension {n} ℚ K]
(hn : 2 < n) :
haveI := IsCyclotomicExtension.numberField {n} ℚ K
NrRealPlaces K = 0 := by
have := IsCyclotomicExtension.numberField {n} ℚ K
apply (IsCyclotomicExtension.zeta_spec n ℚ K).nrRealPlaces_eq_zero_of_two_lt hn
variable (n)
| Mathlib/NumberTheory/Cyclotomic/Embeddings.lean | 41 | 60 | theorem nrComplexPlaces_eq_totient_div_two [h : IsCyclotomicExtension {n} ℚ K] :
haveI := IsCyclotomicExtension.numberField {n} ℚ K
NrComplexPlaces K = φ n / 2 := by |
have := IsCyclotomicExtension.numberField {n} ℚ K
by_cases hn : 2 < n
· obtain ⟨k, hk : φ n = k + k⟩ := totient_even hn
have key := card_add_two_mul_card_eq_rank K
rw [nrRealPlaces_eq_zero K hn, zero_add, IsCyclotomicExtension.finrank (n := n) K
(cyclotomic.irreducible_rat n.pos), hk, ← two_mul, Nat.mul_right_inj (by norm_num)] at key
simp [hk, key, ← two_mul]
· have : φ n = 1 := by
by_cases h1 : 1 < n.1
· convert totient_two
exact (eq_of_le_of_not_lt (succ_le_of_lt h1) hn).symm
· convert totient_one
rw [← PNat.one_coe, PNat.coe_inj]
exact eq_of_le_of_not_lt (not_lt.mp h1) (PNat.not_lt_one _)
rw [this]
apply nrComplexPlaces_eq_zero_of_finrank_eq_one
rw [IsCyclotomicExtension.finrank K (cyclotomic.irreducible_rat n.pos), this]
| 17 | 24,154,952.753575 | 2 | 1.5 | 2 | 1,689 |
import Mathlib.Analysis.SpecialFunctions.Trigonometric.Complex
#align_import analysis.special_functions.trigonometric.arctan from "leanprover-community/mathlib"@"f2ce6086713c78a7f880485f7917ea547a215982"
noncomputable section
namespace Real
open Set Filter
open scoped Topology Real
| Mathlib/Analysis/SpecialFunctions/Trigonometric/Arctan.lean | 32 | 38 | theorem tan_add {x y : ℝ}
(h : ((∀ k : ℤ, x ≠ (2 * k + 1) * π / 2) ∧ ∀ l : ℤ, y ≠ (2 * l + 1) * π / 2) ∨
(∃ k : ℤ, x = (2 * k + 1) * π / 2) ∧ ∃ l : ℤ, y = (2 * l + 1) * π / 2) :
tan (x + y) = (tan x + tan y) / (1 - tan x * tan y) := by |
simpa only [← Complex.ofReal_inj, Complex.ofReal_sub, Complex.ofReal_add, Complex.ofReal_div,
Complex.ofReal_mul, Complex.ofReal_tan] using
@Complex.tan_add (x : ℂ) (y : ℂ) (by convert h <;> norm_cast)
| 3 | 20.085537 | 1 | 1.5 | 4 | 1,690 |
import Mathlib.Analysis.SpecialFunctions.Trigonometric.Complex
#align_import analysis.special_functions.trigonometric.arctan from "leanprover-community/mathlib"@"f2ce6086713c78a7f880485f7917ea547a215982"
noncomputable section
namespace Real
open Set Filter
open scoped Topology Real
theorem tan_add {x y : ℝ}
(h : ((∀ k : ℤ, x ≠ (2 * k + 1) * π / 2) ∧ ∀ l : ℤ, y ≠ (2 * l + 1) * π / 2) ∨
(∃ k : ℤ, x = (2 * k + 1) * π / 2) ∧ ∃ l : ℤ, y = (2 * l + 1) * π / 2) :
tan (x + y) = (tan x + tan y) / (1 - tan x * tan y) := by
simpa only [← Complex.ofReal_inj, Complex.ofReal_sub, Complex.ofReal_add, Complex.ofReal_div,
Complex.ofReal_mul, Complex.ofReal_tan] using
@Complex.tan_add (x : ℂ) (y : ℂ) (by convert h <;> norm_cast)
#align real.tan_add Real.tan_add
theorem tan_add' {x y : ℝ}
(h : (∀ k : ℤ, x ≠ (2 * k + 1) * π / 2) ∧ ∀ l : ℤ, y ≠ (2 * l + 1) * π / 2) :
tan (x + y) = (tan x + tan y) / (1 - tan x * tan y) :=
tan_add (Or.inl h)
#align real.tan_add' Real.tan_add'
| Mathlib/Analysis/SpecialFunctions/Trigonometric/Arctan.lean | 47 | 49 | theorem tan_two_mul {x : ℝ} : tan (2 * x) = 2 * tan x / (1 - tan x ^ 2) := by |
have := @Complex.tan_two_mul x
norm_cast at *
| 2 | 7.389056 | 1 | 1.5 | 4 | 1,690 |
import Mathlib.Analysis.SpecialFunctions.Trigonometric.Complex
#align_import analysis.special_functions.trigonometric.arctan from "leanprover-community/mathlib"@"f2ce6086713c78a7f880485f7917ea547a215982"
noncomputable section
namespace Real
open Set Filter
open scoped Topology Real
theorem tan_add {x y : ℝ}
(h : ((∀ k : ℤ, x ≠ (2 * k + 1) * π / 2) ∧ ∀ l : ℤ, y ≠ (2 * l + 1) * π / 2) ∨
(∃ k : ℤ, x = (2 * k + 1) * π / 2) ∧ ∃ l : ℤ, y = (2 * l + 1) * π / 2) :
tan (x + y) = (tan x + tan y) / (1 - tan x * tan y) := by
simpa only [← Complex.ofReal_inj, Complex.ofReal_sub, Complex.ofReal_add, Complex.ofReal_div,
Complex.ofReal_mul, Complex.ofReal_tan] using
@Complex.tan_add (x : ℂ) (y : ℂ) (by convert h <;> norm_cast)
#align real.tan_add Real.tan_add
theorem tan_add' {x y : ℝ}
(h : (∀ k : ℤ, x ≠ (2 * k + 1) * π / 2) ∧ ∀ l : ℤ, y ≠ (2 * l + 1) * π / 2) :
tan (x + y) = (tan x + tan y) / (1 - tan x * tan y) :=
tan_add (Or.inl h)
#align real.tan_add' Real.tan_add'
theorem tan_two_mul {x : ℝ} : tan (2 * x) = 2 * tan x / (1 - tan x ^ 2) := by
have := @Complex.tan_two_mul x
norm_cast at *
#align real.tan_two_mul Real.tan_two_mul
theorem tan_int_mul_pi_div_two (n : ℤ) : tan (n * π / 2) = 0 :=
tan_eq_zero_iff.mpr (by use n)
#align real.tan_int_mul_pi_div_two Real.tan_int_mul_pi_div_two
| Mathlib/Analysis/SpecialFunctions/Trigonometric/Arctan.lean | 56 | 60 | theorem continuousOn_tan : ContinuousOn tan {x | cos x ≠ 0} := by |
suffices ContinuousOn (fun x => sin x / cos x) {x | cos x ≠ 0} by
have h_eq : (fun x => sin x / cos x) = tan := by ext1 x; rw [tan_eq_sin_div_cos]
rwa [h_eq] at this
exact continuousOn_sin.div continuousOn_cos fun x => id
| 4 | 54.59815 | 2 | 1.5 | 4 | 1,690 |
import Mathlib.Analysis.SpecialFunctions.Trigonometric.Complex
#align_import analysis.special_functions.trigonometric.arctan from "leanprover-community/mathlib"@"f2ce6086713c78a7f880485f7917ea547a215982"
noncomputable section
namespace Real
open Set Filter
open scoped Topology Real
theorem tan_add {x y : ℝ}
(h : ((∀ k : ℤ, x ≠ (2 * k + 1) * π / 2) ∧ ∀ l : ℤ, y ≠ (2 * l + 1) * π / 2) ∨
(∃ k : ℤ, x = (2 * k + 1) * π / 2) ∧ ∃ l : ℤ, y = (2 * l + 1) * π / 2) :
tan (x + y) = (tan x + tan y) / (1 - tan x * tan y) := by
simpa only [← Complex.ofReal_inj, Complex.ofReal_sub, Complex.ofReal_add, Complex.ofReal_div,
Complex.ofReal_mul, Complex.ofReal_tan] using
@Complex.tan_add (x : ℂ) (y : ℂ) (by convert h <;> norm_cast)
#align real.tan_add Real.tan_add
theorem tan_add' {x y : ℝ}
(h : (∀ k : ℤ, x ≠ (2 * k + 1) * π / 2) ∧ ∀ l : ℤ, y ≠ (2 * l + 1) * π / 2) :
tan (x + y) = (tan x + tan y) / (1 - tan x * tan y) :=
tan_add (Or.inl h)
#align real.tan_add' Real.tan_add'
theorem tan_two_mul {x : ℝ} : tan (2 * x) = 2 * tan x / (1 - tan x ^ 2) := by
have := @Complex.tan_two_mul x
norm_cast at *
#align real.tan_two_mul Real.tan_two_mul
theorem tan_int_mul_pi_div_two (n : ℤ) : tan (n * π / 2) = 0 :=
tan_eq_zero_iff.mpr (by use n)
#align real.tan_int_mul_pi_div_two Real.tan_int_mul_pi_div_two
theorem continuousOn_tan : ContinuousOn tan {x | cos x ≠ 0} := by
suffices ContinuousOn (fun x => sin x / cos x) {x | cos x ≠ 0} by
have h_eq : (fun x => sin x / cos x) = tan := by ext1 x; rw [tan_eq_sin_div_cos]
rwa [h_eq] at this
exact continuousOn_sin.div continuousOn_cos fun x => id
#align real.continuous_on_tan Real.continuousOn_tan
@[continuity]
theorem continuous_tan : Continuous fun x : {x | cos x ≠ 0} => tan x :=
continuousOn_iff_continuous_restrict.1 continuousOn_tan
#align real.continuous_tan Real.continuous_tan
| Mathlib/Analysis/SpecialFunctions/Trigonometric/Arctan.lean | 68 | 86 | theorem continuousOn_tan_Ioo : ContinuousOn tan (Ioo (-(π / 2)) (π / 2)) := by |
refine ContinuousOn.mono continuousOn_tan fun x => ?_
simp only [and_imp, mem_Ioo, mem_setOf_eq, Ne]
rw [cos_eq_zero_iff]
rintro hx_gt hx_lt ⟨r, hxr_eq⟩
rcases le_or_lt 0 r with h | h
· rw [lt_iff_not_ge] at hx_lt
refine hx_lt ?_
rw [hxr_eq, ← one_mul (π / 2), mul_div_assoc, ge_iff_le, mul_le_mul_right (half_pos pi_pos)]
simp [h]
· rw [lt_iff_not_ge] at hx_gt
refine hx_gt ?_
rw [hxr_eq, ← one_mul (π / 2), mul_div_assoc, ge_iff_le, neg_mul_eq_neg_mul,
mul_le_mul_right (half_pos pi_pos)]
have hr_le : r ≤ -1 := by rwa [Int.lt_iff_add_one_le, ← le_neg_iff_add_nonpos_right] at h
rw [← le_sub_iff_add_le, mul_comm, ← le_div_iff]
· set_option tactic.skipAssignedInstances false in norm_num
rw [← Int.cast_one, ← Int.cast_neg]; norm_cast
· exact zero_lt_two
| 18 | 65,659,969.137331 | 2 | 1.5 | 4 | 1,690 |
import Mathlib.Analysis.SpecificLimits.Basic
import Mathlib.Order.Interval.Set.IsoIoo
import Mathlib.Topology.Order.MonotoneContinuity
import Mathlib.Topology.UrysohnsBounded
#align_import topology.tietze_extension from "leanprover-community/mathlib"@"f2ce6086713c78a7f880485f7917ea547a215982"
section TietzeExtensionClass
universe u u₁ u₂ v w
-- TODO: define *absolute retracts* and then prove they satisfy Tietze extension.
-- Then make instances of that instead and remove this class.
class TietzeExtension (Y : Type v) [TopologicalSpace Y] : Prop where
exists_restrict_eq' {X : Type u} [TopologicalSpace X] [NormalSpace X] (s : Set X)
(hs : IsClosed s) (f : C(s, Y)) : ∃ (g : C(X, Y)), g.restrict s = f
variable {X₁ : Type u₁} [TopologicalSpace X₁]
variable {X : Type u} [TopologicalSpace X] [NormalSpace X] {s : Set X} (hs : IsClosed s)
variable {e : X₁ → X} (he : ClosedEmbedding e)
variable {Y : Type v} [TopologicalSpace Y] [TietzeExtension.{u, v} Y]
theorem ContinuousMap.exists_restrict_eq (f : C(s, Y)) : ∃ (g : C(X, Y)), g.restrict s = f :=
TietzeExtension.exists_restrict_eq' s hs f
#align continuous_map.exists_restrict_eq_of_closed ContinuousMap.exists_restrict_eq
| Mathlib/Topology/TietzeExtension.lean | 73 | 77 | theorem ContinuousMap.exists_extension (f : C(X₁, Y)) :
∃ (g : C(X, Y)), g.comp ⟨e, he.continuous⟩ = f := by |
let e' : X₁ ≃ₜ Set.range e := Homeomorph.ofEmbedding _ he.toEmbedding
obtain ⟨g, hg⟩ := (f.comp e'.symm).exists_restrict_eq he.isClosed_range
exact ⟨g, by ext x; simpa using congr($(hg) ⟨e' x, x, rfl⟩)⟩
| 3 | 20.085537 | 1 | 1.5 | 6 | 1,691 |
import Mathlib.Analysis.SpecificLimits.Basic
import Mathlib.Order.Interval.Set.IsoIoo
import Mathlib.Topology.Order.MonotoneContinuity
import Mathlib.Topology.UrysohnsBounded
#align_import topology.tietze_extension from "leanprover-community/mathlib"@"f2ce6086713c78a7f880485f7917ea547a215982"
section TietzeExtensionClass
universe u u₁ u₂ v w
-- TODO: define *absolute retracts* and then prove they satisfy Tietze extension.
-- Then make instances of that instead and remove this class.
class TietzeExtension (Y : Type v) [TopologicalSpace Y] : Prop where
exists_restrict_eq' {X : Type u} [TopologicalSpace X] [NormalSpace X] (s : Set X)
(hs : IsClosed s) (f : C(s, Y)) : ∃ (g : C(X, Y)), g.restrict s = f
variable {X₁ : Type u₁} [TopologicalSpace X₁]
variable {X : Type u} [TopologicalSpace X] [NormalSpace X] {s : Set X} (hs : IsClosed s)
variable {e : X₁ → X} (he : ClosedEmbedding e)
variable {Y : Type v} [TopologicalSpace Y] [TietzeExtension.{u, v} Y]
theorem ContinuousMap.exists_restrict_eq (f : C(s, Y)) : ∃ (g : C(X, Y)), g.restrict s = f :=
TietzeExtension.exists_restrict_eq' s hs f
#align continuous_map.exists_restrict_eq_of_closed ContinuousMap.exists_restrict_eq
theorem ContinuousMap.exists_extension (f : C(X₁, Y)) :
∃ (g : C(X, Y)), g.comp ⟨e, he.continuous⟩ = f := by
let e' : X₁ ≃ₜ Set.range e := Homeomorph.ofEmbedding _ he.toEmbedding
obtain ⟨g, hg⟩ := (f.comp e'.symm).exists_restrict_eq he.isClosed_range
exact ⟨g, by ext x; simpa using congr($(hg) ⟨e' x, x, rfl⟩)⟩
theorem ContinuousMap.exists_extension' (f : C(X₁, Y)) : ∃ (g : C(X, Y)), g ∘ e = f :=
f.exists_extension he |>.imp fun g hg ↦ by ext x; congrm($(hg) x)
#align continuous_map.exists_extension_of_closed_embedding ContinuousMap.exists_extension'
| Mathlib/Topology/TietzeExtension.lean | 96 | 100 | theorem ContinuousMap.exists_forall_mem_restrict_eq {Y : Type v} [TopologicalSpace Y] (f : C(s, Y))
{t : Set Y} (hf : ∀ x, f x ∈ t) [ht : TietzeExtension.{u, v} t] :
∃ (g : C(X, Y)), (∀ x, g x ∈ t) ∧ g.restrict s = f := by |
obtain ⟨g, hg⟩ := mk _ (map_continuous f |>.codRestrict hf) |>.exists_restrict_eq hs
exact ⟨comp ⟨Subtype.val, by continuity⟩ g, by simp, by ext x; congrm(($(hg) x : Y))⟩
| 2 | 7.389056 | 1 | 1.5 | 6 | 1,691 |
import Mathlib.Analysis.SpecificLimits.Basic
import Mathlib.Order.Interval.Set.IsoIoo
import Mathlib.Topology.Order.MonotoneContinuity
import Mathlib.Topology.UrysohnsBounded
#align_import topology.tietze_extension from "leanprover-community/mathlib"@"f2ce6086713c78a7f880485f7917ea547a215982"
section TietzeExtensionClass
universe u u₁ u₂ v w
-- TODO: define *absolute retracts* and then prove they satisfy Tietze extension.
-- Then make instances of that instead and remove this class.
class TietzeExtension (Y : Type v) [TopologicalSpace Y] : Prop where
exists_restrict_eq' {X : Type u} [TopologicalSpace X] [NormalSpace X] (s : Set X)
(hs : IsClosed s) (f : C(s, Y)) : ∃ (g : C(X, Y)), g.restrict s = f
variable {X₁ : Type u₁} [TopologicalSpace X₁]
variable {X : Type u} [TopologicalSpace X] [NormalSpace X] {s : Set X} (hs : IsClosed s)
variable {e : X₁ → X} (he : ClosedEmbedding e)
variable {Y : Type v} [TopologicalSpace Y] [TietzeExtension.{u, v} Y]
theorem ContinuousMap.exists_restrict_eq (f : C(s, Y)) : ∃ (g : C(X, Y)), g.restrict s = f :=
TietzeExtension.exists_restrict_eq' s hs f
#align continuous_map.exists_restrict_eq_of_closed ContinuousMap.exists_restrict_eq
theorem ContinuousMap.exists_extension (f : C(X₁, Y)) :
∃ (g : C(X, Y)), g.comp ⟨e, he.continuous⟩ = f := by
let e' : X₁ ≃ₜ Set.range e := Homeomorph.ofEmbedding _ he.toEmbedding
obtain ⟨g, hg⟩ := (f.comp e'.symm).exists_restrict_eq he.isClosed_range
exact ⟨g, by ext x; simpa using congr($(hg) ⟨e' x, x, rfl⟩)⟩
theorem ContinuousMap.exists_extension' (f : C(X₁, Y)) : ∃ (g : C(X, Y)), g ∘ e = f :=
f.exists_extension he |>.imp fun g hg ↦ by ext x; congrm($(hg) x)
#align continuous_map.exists_extension_of_closed_embedding ContinuousMap.exists_extension'
theorem ContinuousMap.exists_forall_mem_restrict_eq {Y : Type v} [TopologicalSpace Y] (f : C(s, Y))
{t : Set Y} (hf : ∀ x, f x ∈ t) [ht : TietzeExtension.{u, v} t] :
∃ (g : C(X, Y)), (∀ x, g x ∈ t) ∧ g.restrict s = f := by
obtain ⟨g, hg⟩ := mk _ (map_continuous f |>.codRestrict hf) |>.exists_restrict_eq hs
exact ⟨comp ⟨Subtype.val, by continuity⟩ g, by simp, by ext x; congrm(($(hg) x : Y))⟩
| Mathlib/Topology/TietzeExtension.lean | 108 | 112 | theorem ContinuousMap.exists_extension_forall_mem {Y : Type v} [TopologicalSpace Y] (f : C(X₁, Y))
{t : Set Y} (hf : ∀ x, f x ∈ t) [ht : TietzeExtension.{u, v} t] :
∃ (g : C(X, Y)), (∀ x, g x ∈ t) ∧ g.comp ⟨e, he.continuous⟩ = f := by |
obtain ⟨g, hg⟩ := mk _ (map_continuous f |>.codRestrict hf) |>.exists_extension he
exact ⟨comp ⟨Subtype.val, by continuity⟩ g, by simp, by ext x; congrm(($(hg) x : Y))⟩
| 2 | 7.389056 | 1 | 1.5 | 6 | 1,691 |
import Mathlib.Analysis.SpecificLimits.Basic
import Mathlib.Order.Interval.Set.IsoIoo
import Mathlib.Topology.Order.MonotoneContinuity
import Mathlib.Topology.UrysohnsBounded
#align_import topology.tietze_extension from "leanprover-community/mathlib"@"f2ce6086713c78a7f880485f7917ea547a215982"
section TietzeExtensionClass
universe u u₁ u₂ v w
-- TODO: define *absolute retracts* and then prove they satisfy Tietze extension.
-- Then make instances of that instead and remove this class.
class TietzeExtension (Y : Type v) [TopologicalSpace Y] : Prop where
exists_restrict_eq' {X : Type u} [TopologicalSpace X] [NormalSpace X] (s : Set X)
(hs : IsClosed s) (f : C(s, Y)) : ∃ (g : C(X, Y)), g.restrict s = f
variable {X₁ : Type u₁} [TopologicalSpace X₁]
variable {X : Type u} [TopologicalSpace X] [NormalSpace X] {s : Set X} (hs : IsClosed s)
variable {e : X₁ → X} (he : ClosedEmbedding e)
variable {Y : Type v} [TopologicalSpace Y] [TietzeExtension.{u, v} Y]
theorem ContinuousMap.exists_restrict_eq (f : C(s, Y)) : ∃ (g : C(X, Y)), g.restrict s = f :=
TietzeExtension.exists_restrict_eq' s hs f
#align continuous_map.exists_restrict_eq_of_closed ContinuousMap.exists_restrict_eq
theorem ContinuousMap.exists_extension (f : C(X₁, Y)) :
∃ (g : C(X, Y)), g.comp ⟨e, he.continuous⟩ = f := by
let e' : X₁ ≃ₜ Set.range e := Homeomorph.ofEmbedding _ he.toEmbedding
obtain ⟨g, hg⟩ := (f.comp e'.symm).exists_restrict_eq he.isClosed_range
exact ⟨g, by ext x; simpa using congr($(hg) ⟨e' x, x, rfl⟩)⟩
theorem ContinuousMap.exists_extension' (f : C(X₁, Y)) : ∃ (g : C(X, Y)), g ∘ e = f :=
f.exists_extension he |>.imp fun g hg ↦ by ext x; congrm($(hg) x)
#align continuous_map.exists_extension_of_closed_embedding ContinuousMap.exists_extension'
theorem ContinuousMap.exists_forall_mem_restrict_eq {Y : Type v} [TopologicalSpace Y] (f : C(s, Y))
{t : Set Y} (hf : ∀ x, f x ∈ t) [ht : TietzeExtension.{u, v} t] :
∃ (g : C(X, Y)), (∀ x, g x ∈ t) ∧ g.restrict s = f := by
obtain ⟨g, hg⟩ := mk _ (map_continuous f |>.codRestrict hf) |>.exists_restrict_eq hs
exact ⟨comp ⟨Subtype.val, by continuity⟩ g, by simp, by ext x; congrm(($(hg) x : Y))⟩
theorem ContinuousMap.exists_extension_forall_mem {Y : Type v} [TopologicalSpace Y] (f : C(X₁, Y))
{t : Set Y} (hf : ∀ x, f x ∈ t) [ht : TietzeExtension.{u, v} t] :
∃ (g : C(X, Y)), (∀ x, g x ∈ t) ∧ g.comp ⟨e, he.continuous⟩ = f := by
obtain ⟨g, hg⟩ := mk _ (map_continuous f |>.codRestrict hf) |>.exists_extension he
exact ⟨comp ⟨Subtype.val, by continuity⟩ g, by simp, by ext x; congrm(($(hg) x : Y))⟩
instance Pi.instTietzeExtension {ι : Type*} {Y : ι → Type v} [∀ i, TopologicalSpace (Y i)]
[∀ i, TietzeExtension (Y i)] : TietzeExtension (∀ i, Y i) where
exists_restrict_eq' s hs f := by
obtain ⟨g', hg'⟩ := Classical.skolem.mp <| fun i ↦
ContinuousMap.exists_restrict_eq hs (ContinuousMap.piEquiv _ _ |>.symm f i)
exact ⟨ContinuousMap.piEquiv _ _ g', by ext x i; congrm($(hg' i) x)⟩
instance Prod.instTietzeExtension {Y : Type v} {Z : Type w} [TopologicalSpace Y]
[TietzeExtension.{u, v} Y] [TopologicalSpace Z] [TietzeExtension.{u, w} Z] :
TietzeExtension (Y × Z) where
exists_restrict_eq' s hs f := by
obtain ⟨g₁, hg₁⟩ := (ContinuousMap.fst.comp f).exists_restrict_eq hs
obtain ⟨g₂, hg₂⟩ := (ContinuousMap.snd.comp f).exists_restrict_eq hs
exact ⟨g₁.prodMk g₂, by ext1 x; congrm(($(hg₁) x), $(hg₂) x)⟩
instance Unique.instTietzeExtension {Y : Type v} [TopologicalSpace Y] [Unique Y] :
TietzeExtension.{u, v} Y where
exists_restrict_eq' _ _ f := ⟨.const _ default, by ext x; exact Subsingleton.elim _ _⟩
| Mathlib/Topology/TietzeExtension.lean | 134 | 143 | theorem TietzeExtension.of_retract {Y : Type v} {Z : Type w} [TopologicalSpace Y]
[TopologicalSpace Z] [TietzeExtension.{u, w} Z] (ι : C(Y, Z)) (r : C(Z, Y))
(h : r.comp ι = .id Y) : TietzeExtension.{u, v} Y where
exists_restrict_eq' s hs f := by |
obtain ⟨g, hg⟩ := (ι.comp f).exists_restrict_eq hs
use r.comp g
ext1 x
have := congr(r.comp $(hg))
rw [← r.comp_assoc ι, h, f.id_comp] at this
congrm($this x)
| 6 | 403.428793 | 2 | 1.5 | 6 | 1,691 |
import Mathlib.Analysis.SpecificLimits.Basic
import Mathlib.Order.Interval.Set.IsoIoo
import Mathlib.Topology.Order.MonotoneContinuity
import Mathlib.Topology.UrysohnsBounded
#align_import topology.tietze_extension from "leanprover-community/mathlib"@"f2ce6086713c78a7f880485f7917ea547a215982"
variable {X Y : Type*} [TopologicalSpace X] [TopologicalSpace Y] [NormalSpace Y]
open Metric Set Filter
open BoundedContinuousFunction Topology
noncomputable section
namespace BoundedContinuousFunction
| Mathlib/Topology/TietzeExtension.lean | 169 | 213 | theorem tietze_extension_step (f : X →ᵇ ℝ) (e : C(X, Y)) (he : ClosedEmbedding e) :
∃ g : Y →ᵇ ℝ, ‖g‖ ≤ ‖f‖ / 3 ∧ dist (g.compContinuous e) f ≤ 2 / 3 * ‖f‖ := by |
have h3 : (0 : ℝ) < 3 := by norm_num1
have h23 : 0 < (2 / 3 : ℝ) := by norm_num1
-- In the trivial case `f = 0`, we take `g = 0`
rcases eq_or_ne f 0 with (rfl | hf)
· use 0
simp
replace hf : 0 < ‖f‖ := norm_pos_iff.2 hf
/- Otherwise, the closed sets `e '' (f ⁻¹' (Iic (-‖f‖ / 3)))` and `e '' (f ⁻¹' (Ici (‖f‖ / 3)))`
are disjoint, hence by Urysohn's lemma there exists a function `g` that is equal to `-‖f‖ / 3`
on the former set and is equal to `‖f‖ / 3` on the latter set. This function `g` satisfies the
assertions of the lemma. -/
have hf3 : -‖f‖ / 3 < ‖f‖ / 3 := (div_lt_div_right h3).2 (Left.neg_lt_self hf)
have hc₁ : IsClosed (e '' (f ⁻¹' Iic (-‖f‖ / 3))) :=
he.isClosedMap _ (isClosed_Iic.preimage f.continuous)
have hc₂ : IsClosed (e '' (f ⁻¹' Ici (‖f‖ / 3))) :=
he.isClosedMap _ (isClosed_Ici.preimage f.continuous)
have hd : Disjoint (e '' (f ⁻¹' Iic (-‖f‖ / 3))) (e '' (f ⁻¹' Ici (‖f‖ / 3))) := by
refine disjoint_image_of_injective he.inj (Disjoint.preimage _ ?_)
rwa [Iic_disjoint_Ici, not_le]
rcases exists_bounded_mem_Icc_of_closed_of_le hc₁ hc₂ hd hf3.le with ⟨g, hg₁, hg₂, hgf⟩
refine ⟨g, ?_, ?_⟩
· refine (norm_le <| div_nonneg hf.le h3.le).mpr fun y => ?_
simpa [abs_le, neg_div] using hgf y
· refine (dist_le <| mul_nonneg h23.le hf.le).mpr fun x => ?_
have hfx : -‖f‖ ≤ f x ∧ f x ≤ ‖f‖ := by
simpa only [Real.norm_eq_abs, abs_le] using f.norm_coe_le_norm x
rcases le_total (f x) (-‖f‖ / 3) with hle₁ | hle₁
· calc
|g (e x) - f x| = -‖f‖ / 3 - f x := by
rw [hg₁ (mem_image_of_mem _ hle₁), Function.const_apply,
abs_of_nonneg (sub_nonneg.2 hle₁)]
_ ≤ 2 / 3 * ‖f‖ := by linarith
· rcases le_total (f x) (‖f‖ / 3) with hle₂ | hle₂
· simp only [neg_div] at *
calc
dist (g (e x)) (f x) ≤ |g (e x)| + |f x| := dist_le_norm_add_norm _ _
_ ≤ ‖f‖ / 3 + ‖f‖ / 3 := (add_le_add (abs_le.2 <| hgf _) (abs_le.2 ⟨hle₁, hle₂⟩))
_ = 2 / 3 * ‖f‖ := by linarith
· calc
|g (e x) - f x| = f x - ‖f‖ / 3 := by
rw [hg₂ (mem_image_of_mem _ hle₂), abs_sub_comm, Function.const_apply,
abs_of_nonneg (sub_nonneg.2 hle₂)]
_ ≤ 2 / 3 * ‖f‖ := by linarith
| 43 | 4,727,839,468,229,346,000 | 2 | 1.5 | 6 | 1,691 |
import Mathlib.Analysis.SpecificLimits.Basic
import Mathlib.Order.Interval.Set.IsoIoo
import Mathlib.Topology.Order.MonotoneContinuity
import Mathlib.Topology.UrysohnsBounded
#align_import topology.tietze_extension from "leanprover-community/mathlib"@"f2ce6086713c78a7f880485f7917ea547a215982"
variable {X Y : Type*} [TopologicalSpace X] [TopologicalSpace Y] [NormalSpace Y]
open Metric Set Filter
open BoundedContinuousFunction Topology
noncomputable section
namespace BoundedContinuousFunction
theorem tietze_extension_step (f : X →ᵇ ℝ) (e : C(X, Y)) (he : ClosedEmbedding e) :
∃ g : Y →ᵇ ℝ, ‖g‖ ≤ ‖f‖ / 3 ∧ dist (g.compContinuous e) f ≤ 2 / 3 * ‖f‖ := by
have h3 : (0 : ℝ) < 3 := by norm_num1
have h23 : 0 < (2 / 3 : ℝ) := by norm_num1
-- In the trivial case `f = 0`, we take `g = 0`
rcases eq_or_ne f 0 with (rfl | hf)
· use 0
simp
replace hf : 0 < ‖f‖ := norm_pos_iff.2 hf
have hf3 : -‖f‖ / 3 < ‖f‖ / 3 := (div_lt_div_right h3).2 (Left.neg_lt_self hf)
have hc₁ : IsClosed (e '' (f ⁻¹' Iic (-‖f‖ / 3))) :=
he.isClosedMap _ (isClosed_Iic.preimage f.continuous)
have hc₂ : IsClosed (e '' (f ⁻¹' Ici (‖f‖ / 3))) :=
he.isClosedMap _ (isClosed_Ici.preimage f.continuous)
have hd : Disjoint (e '' (f ⁻¹' Iic (-‖f‖ / 3))) (e '' (f ⁻¹' Ici (‖f‖ / 3))) := by
refine disjoint_image_of_injective he.inj (Disjoint.preimage _ ?_)
rwa [Iic_disjoint_Ici, not_le]
rcases exists_bounded_mem_Icc_of_closed_of_le hc₁ hc₂ hd hf3.le with ⟨g, hg₁, hg₂, hgf⟩
refine ⟨g, ?_, ?_⟩
· refine (norm_le <| div_nonneg hf.le h3.le).mpr fun y => ?_
simpa [abs_le, neg_div] using hgf y
· refine (dist_le <| mul_nonneg h23.le hf.le).mpr fun x => ?_
have hfx : -‖f‖ ≤ f x ∧ f x ≤ ‖f‖ := by
simpa only [Real.norm_eq_abs, abs_le] using f.norm_coe_le_norm x
rcases le_total (f x) (-‖f‖ / 3) with hle₁ | hle₁
· calc
|g (e x) - f x| = -‖f‖ / 3 - f x := by
rw [hg₁ (mem_image_of_mem _ hle₁), Function.const_apply,
abs_of_nonneg (sub_nonneg.2 hle₁)]
_ ≤ 2 / 3 * ‖f‖ := by linarith
· rcases le_total (f x) (‖f‖ / 3) with hle₂ | hle₂
· simp only [neg_div] at *
calc
dist (g (e x)) (f x) ≤ |g (e x)| + |f x| := dist_le_norm_add_norm _ _
_ ≤ ‖f‖ / 3 + ‖f‖ / 3 := (add_le_add (abs_le.2 <| hgf _) (abs_le.2 ⟨hle₁, hle₂⟩))
_ = 2 / 3 * ‖f‖ := by linarith
· calc
|g (e x) - f x| = f x - ‖f‖ / 3 := by
rw [hg₂ (mem_image_of_mem _ hle₂), abs_sub_comm, Function.const_apply,
abs_of_nonneg (sub_nonneg.2 hle₂)]
_ ≤ 2 / 3 * ‖f‖ := by linarith
#align bounded_continuous_function.tietze_extension_step BoundedContinuousFunction.tietze_extension_step
| Mathlib/Topology/TietzeExtension.lean | 220 | 262 | theorem exists_extension_norm_eq_of_closedEmbedding' (f : X →ᵇ ℝ) (e : C(X, Y))
(he : ClosedEmbedding e) : ∃ g : Y →ᵇ ℝ, ‖g‖ = ‖f‖ ∧ g.compContinuous e = f := by |
/- For the proof, we iterate `tietze_extension_step`. Each time we apply it to the difference
between the previous approximation and `f`. -/
choose F hF_norm hF_dist using fun f : X →ᵇ ℝ => tietze_extension_step f e he
set g : ℕ → Y →ᵇ ℝ := fun n => (fun g => g + F (f - g.compContinuous e))^[n] 0
have g0 : g 0 = 0 := rfl
have g_succ : ∀ n, g (n + 1) = g n + F (f - (g n).compContinuous e) := fun n =>
Function.iterate_succ_apply' _ _ _
have hgf : ∀ n, dist ((g n).compContinuous e) f ≤ (2 / 3) ^ n * ‖f‖ := by
intro n
induction' n with n ihn
· simp [g0]
· rw [g_succ n, add_compContinuous, ← dist_sub_right, add_sub_cancel_left, pow_succ', mul_assoc]
refine (hF_dist _).trans (mul_le_mul_of_nonneg_left ?_ (by norm_num1))
rwa [← dist_eq_norm']
have hg_dist : ∀ n, dist (g n) (g (n + 1)) ≤ 1 / 3 * ‖f‖ * (2 / 3) ^ n := by
intro n
calc
dist (g n) (g (n + 1)) = ‖F (f - (g n).compContinuous e)‖ := by
rw [g_succ, dist_eq_norm', add_sub_cancel_left]
_ ≤ ‖f - (g n).compContinuous e‖ / 3 := hF_norm _
_ = 1 / 3 * dist ((g n).compContinuous e) f := by rw [dist_eq_norm', one_div, div_eq_inv_mul]
_ ≤ 1 / 3 * ((2 / 3) ^ n * ‖f‖) := mul_le_mul_of_nonneg_left (hgf n) (by norm_num1)
_ = 1 / 3 * ‖f‖ * (2 / 3) ^ n := by ac_rfl
have hg_cau : CauchySeq g := cauchySeq_of_le_geometric _ _ (by norm_num1) hg_dist
have :
Tendsto (fun n => (g n).compContinuous e) atTop
(𝓝 <| (limUnder atTop g).compContinuous e) :=
((continuous_compContinuous e).tendsto _).comp hg_cau.tendsto_limUnder
have hge : (limUnder atTop g).compContinuous e = f := by
refine tendsto_nhds_unique this (tendsto_iff_dist_tendsto_zero.2 ?_)
refine squeeze_zero (fun _ => dist_nonneg) hgf ?_
rw [← zero_mul ‖f‖]
refine (tendsto_pow_atTop_nhds_zero_of_lt_one ?_ ?_).mul tendsto_const_nhds <;> norm_num1
refine ⟨limUnder atTop g, le_antisymm ?_ ?_, hge⟩
· rw [← dist_zero_left, ← g0]
refine
(dist_le_of_le_geometric_of_tendsto₀ _ _ (by norm_num1)
hg_dist hg_cau.tendsto_limUnder).trans_eq ?_
field_simp [show (3 - 2 : ℝ) = 1 by norm_num1]
· rw [← hge]
exact norm_compContinuous_le _ _
| 41 | 639,843,493,530,055,000 | 2 | 1.5 | 6 | 1,691 |
import Mathlib.Analysis.Asymptotics.AsymptoticEquivalent
import Mathlib.Analysis.Calculus.FDeriv.Linear
import Mathlib.Analysis.Calculus.FDeriv.Comp
#align_import analysis.calculus.fderiv.equiv from "leanprover-community/mathlib"@"e3fb84046afd187b710170887195d50bada934ee"
open Filter Asymptotics ContinuousLinearMap Set Metric
open scoped Classical
open Topology NNReal Filter Asymptotics ENNReal
noncomputable section
section
variable {𝕜 : Type*} [NontriviallyNormedField 𝕜]
variable {E : Type*} [NormedAddCommGroup E] [NormedSpace 𝕜 E]
variable {F : Type*} [NormedAddCommGroup F] [NormedSpace 𝕜 F]
variable {G : Type*} [NormedAddCommGroup G] [NormedSpace 𝕜 G]
variable {G' : Type*} [NormedAddCommGroup G'] [NormedSpace 𝕜 G']
variable {f f₀ f₁ g : E → F}
variable {f' f₀' f₁' g' : E →L[𝕜] F}
variable (e : E →L[𝕜] F)
variable {x : E}
variable {s t : Set E}
variable {L L₁ L₂ : Filter E}
namespace ContinuousLinearEquiv
variable (iso : E ≃L[𝕜] F)
@[fun_prop]
protected theorem hasStrictFDerivAt : HasStrictFDerivAt iso (iso : E →L[𝕜] F) x :=
iso.toContinuousLinearMap.hasStrictFDerivAt
#align continuous_linear_equiv.has_strict_fderiv_at ContinuousLinearEquiv.hasStrictFDerivAt
@[fun_prop]
protected theorem hasFDerivWithinAt : HasFDerivWithinAt iso (iso : E →L[𝕜] F) s x :=
iso.toContinuousLinearMap.hasFDerivWithinAt
#align continuous_linear_equiv.has_fderiv_within_at ContinuousLinearEquiv.hasFDerivWithinAt
@[fun_prop]
protected theorem hasFDerivAt : HasFDerivAt iso (iso : E →L[𝕜] F) x :=
iso.toContinuousLinearMap.hasFDerivAtFilter
#align continuous_linear_equiv.has_fderiv_at ContinuousLinearEquiv.hasFDerivAt
@[fun_prop]
protected theorem differentiableAt : DifferentiableAt 𝕜 iso x :=
iso.hasFDerivAt.differentiableAt
#align continuous_linear_equiv.differentiable_at ContinuousLinearEquiv.differentiableAt
@[fun_prop]
protected theorem differentiableWithinAt : DifferentiableWithinAt 𝕜 iso s x :=
iso.differentiableAt.differentiableWithinAt
#align continuous_linear_equiv.differentiable_within_at ContinuousLinearEquiv.differentiableWithinAt
protected theorem fderiv : fderiv 𝕜 iso x = iso :=
iso.hasFDerivAt.fderiv
#align continuous_linear_equiv.fderiv ContinuousLinearEquiv.fderiv
protected theorem fderivWithin (hxs : UniqueDiffWithinAt 𝕜 s x) : fderivWithin 𝕜 iso s x = iso :=
iso.toContinuousLinearMap.fderivWithin hxs
#align continuous_linear_equiv.fderiv_within ContinuousLinearEquiv.fderivWithin
@[fun_prop]
protected theorem differentiable : Differentiable 𝕜 iso := fun _ => iso.differentiableAt
#align continuous_linear_equiv.differentiable ContinuousLinearEquiv.differentiable
@[fun_prop]
protected theorem differentiableOn : DifferentiableOn 𝕜 iso s :=
iso.differentiable.differentiableOn
#align continuous_linear_equiv.differentiable_on ContinuousLinearEquiv.differentiableOn
| Mathlib/Analysis/Calculus/FDeriv/Equiv.lean | 95 | 101 | theorem comp_differentiableWithinAt_iff {f : G → E} {s : Set G} {x : G} :
DifferentiableWithinAt 𝕜 (iso ∘ f) s x ↔ DifferentiableWithinAt 𝕜 f s x := by |
refine
⟨fun H => ?_, fun H => iso.differentiable.differentiableAt.comp_differentiableWithinAt x H⟩
have : DifferentiableWithinAt 𝕜 (iso.symm ∘ iso ∘ f) s x :=
iso.symm.differentiable.differentiableAt.comp_differentiableWithinAt x H
rwa [← Function.comp.assoc iso.symm iso f, iso.symm_comp_self] at this
| 5 | 148.413159 | 2 | 1.555556 | 9 | 1,700 |
import Mathlib.Analysis.Asymptotics.AsymptoticEquivalent
import Mathlib.Analysis.Calculus.FDeriv.Linear
import Mathlib.Analysis.Calculus.FDeriv.Comp
#align_import analysis.calculus.fderiv.equiv from "leanprover-community/mathlib"@"e3fb84046afd187b710170887195d50bada934ee"
open Filter Asymptotics ContinuousLinearMap Set Metric
open scoped Classical
open Topology NNReal Filter Asymptotics ENNReal
noncomputable section
section
variable {𝕜 : Type*} [NontriviallyNormedField 𝕜]
variable {E : Type*} [NormedAddCommGroup E] [NormedSpace 𝕜 E]
variable {F : Type*} [NormedAddCommGroup F] [NormedSpace 𝕜 F]
variable {G : Type*} [NormedAddCommGroup G] [NormedSpace 𝕜 G]
variable {G' : Type*} [NormedAddCommGroup G'] [NormedSpace 𝕜 G']
variable {f f₀ f₁ g : E → F}
variable {f' f₀' f₁' g' : E →L[𝕜] F}
variable (e : E →L[𝕜] F)
variable {x : E}
variable {s t : Set E}
variable {L L₁ L₂ : Filter E}
namespace ContinuousLinearEquiv
variable (iso : E ≃L[𝕜] F)
@[fun_prop]
protected theorem hasStrictFDerivAt : HasStrictFDerivAt iso (iso : E →L[𝕜] F) x :=
iso.toContinuousLinearMap.hasStrictFDerivAt
#align continuous_linear_equiv.has_strict_fderiv_at ContinuousLinearEquiv.hasStrictFDerivAt
@[fun_prop]
protected theorem hasFDerivWithinAt : HasFDerivWithinAt iso (iso : E →L[𝕜] F) s x :=
iso.toContinuousLinearMap.hasFDerivWithinAt
#align continuous_linear_equiv.has_fderiv_within_at ContinuousLinearEquiv.hasFDerivWithinAt
@[fun_prop]
protected theorem hasFDerivAt : HasFDerivAt iso (iso : E →L[𝕜] F) x :=
iso.toContinuousLinearMap.hasFDerivAtFilter
#align continuous_linear_equiv.has_fderiv_at ContinuousLinearEquiv.hasFDerivAt
@[fun_prop]
protected theorem differentiableAt : DifferentiableAt 𝕜 iso x :=
iso.hasFDerivAt.differentiableAt
#align continuous_linear_equiv.differentiable_at ContinuousLinearEquiv.differentiableAt
@[fun_prop]
protected theorem differentiableWithinAt : DifferentiableWithinAt 𝕜 iso s x :=
iso.differentiableAt.differentiableWithinAt
#align continuous_linear_equiv.differentiable_within_at ContinuousLinearEquiv.differentiableWithinAt
protected theorem fderiv : fderiv 𝕜 iso x = iso :=
iso.hasFDerivAt.fderiv
#align continuous_linear_equiv.fderiv ContinuousLinearEquiv.fderiv
protected theorem fderivWithin (hxs : UniqueDiffWithinAt 𝕜 s x) : fderivWithin 𝕜 iso s x = iso :=
iso.toContinuousLinearMap.fderivWithin hxs
#align continuous_linear_equiv.fderiv_within ContinuousLinearEquiv.fderivWithin
@[fun_prop]
protected theorem differentiable : Differentiable 𝕜 iso := fun _ => iso.differentiableAt
#align continuous_linear_equiv.differentiable ContinuousLinearEquiv.differentiable
@[fun_prop]
protected theorem differentiableOn : DifferentiableOn 𝕜 iso s :=
iso.differentiable.differentiableOn
#align continuous_linear_equiv.differentiable_on ContinuousLinearEquiv.differentiableOn
theorem comp_differentiableWithinAt_iff {f : G → E} {s : Set G} {x : G} :
DifferentiableWithinAt 𝕜 (iso ∘ f) s x ↔ DifferentiableWithinAt 𝕜 f s x := by
refine
⟨fun H => ?_, fun H => iso.differentiable.differentiableAt.comp_differentiableWithinAt x H⟩
have : DifferentiableWithinAt 𝕜 (iso.symm ∘ iso ∘ f) s x :=
iso.symm.differentiable.differentiableAt.comp_differentiableWithinAt x H
rwa [← Function.comp.assoc iso.symm iso f, iso.symm_comp_self] at this
#align continuous_linear_equiv.comp_differentiable_within_at_iff ContinuousLinearEquiv.comp_differentiableWithinAt_iff
| Mathlib/Analysis/Calculus/FDeriv/Equiv.lean | 104 | 107 | theorem comp_differentiableAt_iff {f : G → E} {x : G} :
DifferentiableAt 𝕜 (iso ∘ f) x ↔ DifferentiableAt 𝕜 f x := by |
rw [← differentiableWithinAt_univ, ← differentiableWithinAt_univ,
iso.comp_differentiableWithinAt_iff]
| 2 | 7.389056 | 1 | 1.555556 | 9 | 1,700 |
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