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.Probability.Notation
import Mathlib.Probability.Integration
import Mathlib.MeasureTheory.Function.L2Space
#align_import probability.variance from "leanprover-community/mathlib"@"f0c8bf9245297a541f468be517f1bde6195105e9"
open MeasureTheory Filter Finset
noncomputable section
open scoped MeasureTheory ProbabilityTheory ENNReal NNReal
namespace ProbabilityTheory
-- Porting note: this lemma replaces `ENNReal.toReal_bit0`, which does not exist in Lean 4
private lemma coe_two : ENNReal.toReal 2 = (2 : ℝ) := rfl
-- Porting note: Consider if `evariance` or `eVariance` is better. Also,
-- consider `eVariationOn` in `Mathlib.Analysis.BoundedVariation`.
def evariance {Ω : Type*} {_ : MeasurableSpace Ω} (X : Ω → ℝ) (μ : Measure Ω) : ℝ≥0∞ :=
∫⁻ ω, (‖X ω - μ[X]‖₊ : ℝ≥0∞) ^ 2 ∂μ
#align probability_theory.evariance ProbabilityTheory.evariance
def variance {Ω : Type*} {_ : MeasurableSpace Ω} (X : Ω → ℝ) (μ : Measure Ω) : ℝ :=
(evariance X μ).toReal
#align probability_theory.variance ProbabilityTheory.variance
variable {Ω : Type*} {m : MeasurableSpace Ω} {X : Ω → ℝ} {μ : Measure Ω}
theorem _root_.MeasureTheory.Memℒp.evariance_lt_top [IsFiniteMeasure μ] (hX : Memℒp X 2 μ) :
evariance X μ < ∞ := by
have := ENNReal.pow_lt_top (hX.sub <| memℒp_const <| μ[X]).2 2
rw [snorm_eq_lintegral_rpow_nnnorm two_ne_zero ENNReal.two_ne_top, ← ENNReal.rpow_two] at this
simp only [coe_two, Pi.sub_apply, ENNReal.one_toReal, one_div] at this
rw [← ENNReal.rpow_mul, inv_mul_cancel (two_ne_zero : (2 : ℝ) ≠ 0), ENNReal.rpow_one] at this
simp_rw [ENNReal.rpow_two] at this
exact this
#align measure_theory.mem_ℒp.evariance_lt_top MeasureTheory.Memℒp.evariance_lt_top
theorem evariance_eq_top [IsFiniteMeasure μ] (hXm : AEStronglyMeasurable X μ) (hX : ¬Memℒp X 2 μ) :
evariance X μ = ∞ := by
by_contra h
rw [← Ne, ← lt_top_iff_ne_top] at h
have : Memℒp (fun ω => X ω - μ[X]) 2 μ := by
refine ⟨hXm.sub aestronglyMeasurable_const, ?_⟩
rw [snorm_eq_lintegral_rpow_nnnorm two_ne_zero ENNReal.two_ne_top]
simp only [coe_two, ENNReal.one_toReal, ENNReal.rpow_two, Ne]
exact ENNReal.rpow_lt_top_of_nonneg (by linarith) h.ne
refine hX ?_
-- Porting note: `μ[X]` without whitespace is ambiguous as it could be GetElem,
-- and `convert` cannot disambiguate based on typeclass inference failure.
convert this.add (memℒp_const <| μ [X])
ext ω
rw [Pi.add_apply, sub_add_cancel]
#align probability_theory.evariance_eq_top ProbabilityTheory.evariance_eq_top
| Mathlib/Probability/Variance.lean | 92 | 97 | theorem evariance_lt_top_iff_memℒp [IsFiniteMeasure μ] (hX : AEStronglyMeasurable X μ) :
evariance X μ < ∞ ↔ Memℒp X 2 μ := by |
refine ⟨?_, MeasureTheory.Memℒp.evariance_lt_top⟩
contrapose
rw [not_lt, top_le_iff]
exact evariance_eq_top hX
| 4 | 54.59815 | 2 | 1.857143 | 7 | 1,927 |
import Mathlib.Probability.Notation
import Mathlib.Probability.Integration
import Mathlib.MeasureTheory.Function.L2Space
#align_import probability.variance from "leanprover-community/mathlib"@"f0c8bf9245297a541f468be517f1bde6195105e9"
open MeasureTheory Filter Finset
noncomputable section
open scoped MeasureTheory ProbabilityTheory ENNReal NNReal
namespace ProbabilityTheory
-- Porting note: this lemma replaces `ENNReal.toReal_bit0`, which does not exist in Lean 4
private lemma coe_two : ENNReal.toReal 2 = (2 : ℝ) := rfl
-- Porting note: Consider if `evariance` or `eVariance` is better. Also,
-- consider `eVariationOn` in `Mathlib.Analysis.BoundedVariation`.
def evariance {Ω : Type*} {_ : MeasurableSpace Ω} (X : Ω → ℝ) (μ : Measure Ω) : ℝ≥0∞ :=
∫⁻ ω, (‖X ω - μ[X]‖₊ : ℝ≥0∞) ^ 2 ∂μ
#align probability_theory.evariance ProbabilityTheory.evariance
def variance {Ω : Type*} {_ : MeasurableSpace Ω} (X : Ω → ℝ) (μ : Measure Ω) : ℝ :=
(evariance X μ).toReal
#align probability_theory.variance ProbabilityTheory.variance
variable {Ω : Type*} {m : MeasurableSpace Ω} {X : Ω → ℝ} {μ : Measure Ω}
theorem _root_.MeasureTheory.Memℒp.evariance_lt_top [IsFiniteMeasure μ] (hX : Memℒp X 2 μ) :
evariance X μ < ∞ := by
have := ENNReal.pow_lt_top (hX.sub <| memℒp_const <| μ[X]).2 2
rw [snorm_eq_lintegral_rpow_nnnorm two_ne_zero ENNReal.two_ne_top, ← ENNReal.rpow_two] at this
simp only [coe_two, Pi.sub_apply, ENNReal.one_toReal, one_div] at this
rw [← ENNReal.rpow_mul, inv_mul_cancel (two_ne_zero : (2 : ℝ) ≠ 0), ENNReal.rpow_one] at this
simp_rw [ENNReal.rpow_two] at this
exact this
#align measure_theory.mem_ℒp.evariance_lt_top MeasureTheory.Memℒp.evariance_lt_top
theorem evariance_eq_top [IsFiniteMeasure μ] (hXm : AEStronglyMeasurable X μ) (hX : ¬Memℒp X 2 μ) :
evariance X μ = ∞ := by
by_contra h
rw [← Ne, ← lt_top_iff_ne_top] at h
have : Memℒp (fun ω => X ω - μ[X]) 2 μ := by
refine ⟨hXm.sub aestronglyMeasurable_const, ?_⟩
rw [snorm_eq_lintegral_rpow_nnnorm two_ne_zero ENNReal.two_ne_top]
simp only [coe_two, ENNReal.one_toReal, ENNReal.rpow_two, Ne]
exact ENNReal.rpow_lt_top_of_nonneg (by linarith) h.ne
refine hX ?_
-- Porting note: `μ[X]` without whitespace is ambiguous as it could be GetElem,
-- and `convert` cannot disambiguate based on typeclass inference failure.
convert this.add (memℒp_const <| μ [X])
ext ω
rw [Pi.add_apply, sub_add_cancel]
#align probability_theory.evariance_eq_top ProbabilityTheory.evariance_eq_top
theorem evariance_lt_top_iff_memℒp [IsFiniteMeasure μ] (hX : AEStronglyMeasurable X μ) :
evariance X μ < ∞ ↔ Memℒp X 2 μ := by
refine ⟨?_, MeasureTheory.Memℒp.evariance_lt_top⟩
contrapose
rw [not_lt, top_le_iff]
exact evariance_eq_top hX
#align probability_theory.evariance_lt_top_iff_mem_ℒp ProbabilityTheory.evariance_lt_top_iff_memℒp
| Mathlib/Probability/Variance.lean | 100 | 103 | theorem _root_.MeasureTheory.Memℒp.ofReal_variance_eq [IsFiniteMeasure μ] (hX : Memℒp X 2 μ) :
ENNReal.ofReal (variance X μ) = evariance X μ := by |
rw [variance, ENNReal.ofReal_toReal]
exact hX.evariance_lt_top.ne
| 2 | 7.389056 | 1 | 1.857143 | 7 | 1,927 |
import Mathlib.Probability.Notation
import Mathlib.Probability.Integration
import Mathlib.MeasureTheory.Function.L2Space
#align_import probability.variance from "leanprover-community/mathlib"@"f0c8bf9245297a541f468be517f1bde6195105e9"
open MeasureTheory Filter Finset
noncomputable section
open scoped MeasureTheory ProbabilityTheory ENNReal NNReal
namespace ProbabilityTheory
-- Porting note: this lemma replaces `ENNReal.toReal_bit0`, which does not exist in Lean 4
private lemma coe_two : ENNReal.toReal 2 = (2 : ℝ) := rfl
-- Porting note: Consider if `evariance` or `eVariance` is better. Also,
-- consider `eVariationOn` in `Mathlib.Analysis.BoundedVariation`.
def evariance {Ω : Type*} {_ : MeasurableSpace Ω} (X : Ω → ℝ) (μ : Measure Ω) : ℝ≥0∞ :=
∫⁻ ω, (‖X ω - μ[X]‖₊ : ℝ≥0∞) ^ 2 ∂μ
#align probability_theory.evariance ProbabilityTheory.evariance
def variance {Ω : Type*} {_ : MeasurableSpace Ω} (X : Ω → ℝ) (μ : Measure Ω) : ℝ :=
(evariance X μ).toReal
#align probability_theory.variance ProbabilityTheory.variance
variable {Ω : Type*} {m : MeasurableSpace Ω} {X : Ω → ℝ} {μ : Measure Ω}
theorem _root_.MeasureTheory.Memℒp.evariance_lt_top [IsFiniteMeasure μ] (hX : Memℒp X 2 μ) :
evariance X μ < ∞ := by
have := ENNReal.pow_lt_top (hX.sub <| memℒp_const <| μ[X]).2 2
rw [snorm_eq_lintegral_rpow_nnnorm two_ne_zero ENNReal.two_ne_top, ← ENNReal.rpow_two] at this
simp only [coe_two, Pi.sub_apply, ENNReal.one_toReal, one_div] at this
rw [← ENNReal.rpow_mul, inv_mul_cancel (two_ne_zero : (2 : ℝ) ≠ 0), ENNReal.rpow_one] at this
simp_rw [ENNReal.rpow_two] at this
exact this
#align measure_theory.mem_ℒp.evariance_lt_top MeasureTheory.Memℒp.evariance_lt_top
theorem evariance_eq_top [IsFiniteMeasure μ] (hXm : AEStronglyMeasurable X μ) (hX : ¬Memℒp X 2 μ) :
evariance X μ = ∞ := by
by_contra h
rw [← Ne, ← lt_top_iff_ne_top] at h
have : Memℒp (fun ω => X ω - μ[X]) 2 μ := by
refine ⟨hXm.sub aestronglyMeasurable_const, ?_⟩
rw [snorm_eq_lintegral_rpow_nnnorm two_ne_zero ENNReal.two_ne_top]
simp only [coe_two, ENNReal.one_toReal, ENNReal.rpow_two, Ne]
exact ENNReal.rpow_lt_top_of_nonneg (by linarith) h.ne
refine hX ?_
-- Porting note: `μ[X]` without whitespace is ambiguous as it could be GetElem,
-- and `convert` cannot disambiguate based on typeclass inference failure.
convert this.add (memℒp_const <| μ [X])
ext ω
rw [Pi.add_apply, sub_add_cancel]
#align probability_theory.evariance_eq_top ProbabilityTheory.evariance_eq_top
theorem evariance_lt_top_iff_memℒp [IsFiniteMeasure μ] (hX : AEStronglyMeasurable X μ) :
evariance X μ < ∞ ↔ Memℒp X 2 μ := by
refine ⟨?_, MeasureTheory.Memℒp.evariance_lt_top⟩
contrapose
rw [not_lt, top_le_iff]
exact evariance_eq_top hX
#align probability_theory.evariance_lt_top_iff_mem_ℒp ProbabilityTheory.evariance_lt_top_iff_memℒp
theorem _root_.MeasureTheory.Memℒp.ofReal_variance_eq [IsFiniteMeasure μ] (hX : Memℒp X 2 μ) :
ENNReal.ofReal (variance X μ) = evariance X μ := by
rw [variance, ENNReal.ofReal_toReal]
exact hX.evariance_lt_top.ne
#align measure_theory.mem_ℒp.of_real_variance_eq MeasureTheory.Memℒp.ofReal_variance_eq
| Mathlib/Probability/Variance.lean | 106 | 113 | theorem evariance_eq_lintegral_ofReal (X : Ω → ℝ) (μ : Measure Ω) :
evariance X μ = ∫⁻ ω, ENNReal.ofReal ((X ω - μ[X]) ^ 2) ∂μ := by |
rw [evariance]
congr
ext1 ω
rw [pow_two, ← ENNReal.coe_mul, ← nnnorm_mul, ← pow_two]
congr
exact (Real.toNNReal_eq_nnnorm_of_nonneg <| sq_nonneg _).symm
| 6 | 403.428793 | 2 | 1.857143 | 7 | 1,927 |
import Mathlib.Probability.Notation
import Mathlib.Probability.Integration
import Mathlib.MeasureTheory.Function.L2Space
#align_import probability.variance from "leanprover-community/mathlib"@"f0c8bf9245297a541f468be517f1bde6195105e9"
open MeasureTheory Filter Finset
noncomputable section
open scoped MeasureTheory ProbabilityTheory ENNReal NNReal
namespace ProbabilityTheory
-- Porting note: this lemma replaces `ENNReal.toReal_bit0`, which does not exist in Lean 4
private lemma coe_two : ENNReal.toReal 2 = (2 : ℝ) := rfl
-- Porting note: Consider if `evariance` or `eVariance` is better. Also,
-- consider `eVariationOn` in `Mathlib.Analysis.BoundedVariation`.
def evariance {Ω : Type*} {_ : MeasurableSpace Ω} (X : Ω → ℝ) (μ : Measure Ω) : ℝ≥0∞ :=
∫⁻ ω, (‖X ω - μ[X]‖₊ : ℝ≥0∞) ^ 2 ∂μ
#align probability_theory.evariance ProbabilityTheory.evariance
def variance {Ω : Type*} {_ : MeasurableSpace Ω} (X : Ω → ℝ) (μ : Measure Ω) : ℝ :=
(evariance X μ).toReal
#align probability_theory.variance ProbabilityTheory.variance
variable {Ω : Type*} {m : MeasurableSpace Ω} {X : Ω → ℝ} {μ : Measure Ω}
theorem _root_.MeasureTheory.Memℒp.evariance_lt_top [IsFiniteMeasure μ] (hX : Memℒp X 2 μ) :
evariance X μ < ∞ := by
have := ENNReal.pow_lt_top (hX.sub <| memℒp_const <| μ[X]).2 2
rw [snorm_eq_lintegral_rpow_nnnorm two_ne_zero ENNReal.two_ne_top, ← ENNReal.rpow_two] at this
simp only [coe_two, Pi.sub_apply, ENNReal.one_toReal, one_div] at this
rw [← ENNReal.rpow_mul, inv_mul_cancel (two_ne_zero : (2 : ℝ) ≠ 0), ENNReal.rpow_one] at this
simp_rw [ENNReal.rpow_two] at this
exact this
#align measure_theory.mem_ℒp.evariance_lt_top MeasureTheory.Memℒp.evariance_lt_top
theorem evariance_eq_top [IsFiniteMeasure μ] (hXm : AEStronglyMeasurable X μ) (hX : ¬Memℒp X 2 μ) :
evariance X μ = ∞ := by
by_contra h
rw [← Ne, ← lt_top_iff_ne_top] at h
have : Memℒp (fun ω => X ω - μ[X]) 2 μ := by
refine ⟨hXm.sub aestronglyMeasurable_const, ?_⟩
rw [snorm_eq_lintegral_rpow_nnnorm two_ne_zero ENNReal.two_ne_top]
simp only [coe_two, ENNReal.one_toReal, ENNReal.rpow_two, Ne]
exact ENNReal.rpow_lt_top_of_nonneg (by linarith) h.ne
refine hX ?_
-- Porting note: `μ[X]` without whitespace is ambiguous as it could be GetElem,
-- and `convert` cannot disambiguate based on typeclass inference failure.
convert this.add (memℒp_const <| μ [X])
ext ω
rw [Pi.add_apply, sub_add_cancel]
#align probability_theory.evariance_eq_top ProbabilityTheory.evariance_eq_top
theorem evariance_lt_top_iff_memℒp [IsFiniteMeasure μ] (hX : AEStronglyMeasurable X μ) :
evariance X μ < ∞ ↔ Memℒp X 2 μ := by
refine ⟨?_, MeasureTheory.Memℒp.evariance_lt_top⟩
contrapose
rw [not_lt, top_le_iff]
exact evariance_eq_top hX
#align probability_theory.evariance_lt_top_iff_mem_ℒp ProbabilityTheory.evariance_lt_top_iff_memℒp
theorem _root_.MeasureTheory.Memℒp.ofReal_variance_eq [IsFiniteMeasure μ] (hX : Memℒp X 2 μ) :
ENNReal.ofReal (variance X μ) = evariance X μ := by
rw [variance, ENNReal.ofReal_toReal]
exact hX.evariance_lt_top.ne
#align measure_theory.mem_ℒp.of_real_variance_eq MeasureTheory.Memℒp.ofReal_variance_eq
theorem evariance_eq_lintegral_ofReal (X : Ω → ℝ) (μ : Measure Ω) :
evariance X μ = ∫⁻ ω, ENNReal.ofReal ((X ω - μ[X]) ^ 2) ∂μ := by
rw [evariance]
congr
ext1 ω
rw [pow_two, ← ENNReal.coe_mul, ← nnnorm_mul, ← pow_two]
congr
exact (Real.toNNReal_eq_nnnorm_of_nonneg <| sq_nonneg _).symm
#align probability_theory.evariance_eq_lintegral_of_real ProbabilityTheory.evariance_eq_lintegral_ofReal
| Mathlib/Probability/Variance.lean | 116 | 125 | theorem _root_.MeasureTheory.Memℒp.variance_eq_of_integral_eq_zero (hX : Memℒp X 2 μ)
(hXint : μ[X] = 0) : variance X μ = μ[X ^ (2 : Nat)] := by |
rw [variance, evariance_eq_lintegral_ofReal, ← ofReal_integral_eq_lintegral_ofReal,
ENNReal.toReal_ofReal (by positivity)] <;>
simp_rw [hXint, sub_zero]
· rfl
· convert hX.integrable_norm_rpow two_ne_zero ENNReal.two_ne_top with ω
simp only [Pi.sub_apply, Real.norm_eq_abs, coe_two, ENNReal.one_toReal,
Real.rpow_two, sq_abs, abs_pow]
· exact ae_of_all _ fun ω => pow_two_nonneg _
| 8 | 2,980.957987 | 2 | 1.857143 | 7 | 1,927 |
import Mathlib.Probability.Notation
import Mathlib.Probability.Integration
import Mathlib.MeasureTheory.Function.L2Space
#align_import probability.variance from "leanprover-community/mathlib"@"f0c8bf9245297a541f468be517f1bde6195105e9"
open MeasureTheory Filter Finset
noncomputable section
open scoped MeasureTheory ProbabilityTheory ENNReal NNReal
namespace ProbabilityTheory
-- Porting note: this lemma replaces `ENNReal.toReal_bit0`, which does not exist in Lean 4
private lemma coe_two : ENNReal.toReal 2 = (2 : ℝ) := rfl
-- Porting note: Consider if `evariance` or `eVariance` is better. Also,
-- consider `eVariationOn` in `Mathlib.Analysis.BoundedVariation`.
def evariance {Ω : Type*} {_ : MeasurableSpace Ω} (X : Ω → ℝ) (μ : Measure Ω) : ℝ≥0∞ :=
∫⁻ ω, (‖X ω - μ[X]‖₊ : ℝ≥0∞) ^ 2 ∂μ
#align probability_theory.evariance ProbabilityTheory.evariance
def variance {Ω : Type*} {_ : MeasurableSpace Ω} (X : Ω → ℝ) (μ : Measure Ω) : ℝ :=
(evariance X μ).toReal
#align probability_theory.variance ProbabilityTheory.variance
variable {Ω : Type*} {m : MeasurableSpace Ω} {X : Ω → ℝ} {μ : Measure Ω}
theorem _root_.MeasureTheory.Memℒp.evariance_lt_top [IsFiniteMeasure μ] (hX : Memℒp X 2 μ) :
evariance X μ < ∞ := by
have := ENNReal.pow_lt_top (hX.sub <| memℒp_const <| μ[X]).2 2
rw [snorm_eq_lintegral_rpow_nnnorm two_ne_zero ENNReal.two_ne_top, ← ENNReal.rpow_two] at this
simp only [coe_two, Pi.sub_apply, ENNReal.one_toReal, one_div] at this
rw [← ENNReal.rpow_mul, inv_mul_cancel (two_ne_zero : (2 : ℝ) ≠ 0), ENNReal.rpow_one] at this
simp_rw [ENNReal.rpow_two] at this
exact this
#align measure_theory.mem_ℒp.evariance_lt_top MeasureTheory.Memℒp.evariance_lt_top
theorem evariance_eq_top [IsFiniteMeasure μ] (hXm : AEStronglyMeasurable X μ) (hX : ¬Memℒp X 2 μ) :
evariance X μ = ∞ := by
by_contra h
rw [← Ne, ← lt_top_iff_ne_top] at h
have : Memℒp (fun ω => X ω - μ[X]) 2 μ := by
refine ⟨hXm.sub aestronglyMeasurable_const, ?_⟩
rw [snorm_eq_lintegral_rpow_nnnorm two_ne_zero ENNReal.two_ne_top]
simp only [coe_two, ENNReal.one_toReal, ENNReal.rpow_two, Ne]
exact ENNReal.rpow_lt_top_of_nonneg (by linarith) h.ne
refine hX ?_
-- Porting note: `μ[X]` without whitespace is ambiguous as it could be GetElem,
-- and `convert` cannot disambiguate based on typeclass inference failure.
convert this.add (memℒp_const <| μ [X])
ext ω
rw [Pi.add_apply, sub_add_cancel]
#align probability_theory.evariance_eq_top ProbabilityTheory.evariance_eq_top
theorem evariance_lt_top_iff_memℒp [IsFiniteMeasure μ] (hX : AEStronglyMeasurable X μ) :
evariance X μ < ∞ ↔ Memℒp X 2 μ := by
refine ⟨?_, MeasureTheory.Memℒp.evariance_lt_top⟩
contrapose
rw [not_lt, top_le_iff]
exact evariance_eq_top hX
#align probability_theory.evariance_lt_top_iff_mem_ℒp ProbabilityTheory.evariance_lt_top_iff_memℒp
theorem _root_.MeasureTheory.Memℒp.ofReal_variance_eq [IsFiniteMeasure μ] (hX : Memℒp X 2 μ) :
ENNReal.ofReal (variance X μ) = evariance X μ := by
rw [variance, ENNReal.ofReal_toReal]
exact hX.evariance_lt_top.ne
#align measure_theory.mem_ℒp.of_real_variance_eq MeasureTheory.Memℒp.ofReal_variance_eq
theorem evariance_eq_lintegral_ofReal (X : Ω → ℝ) (μ : Measure Ω) :
evariance X μ = ∫⁻ ω, ENNReal.ofReal ((X ω - μ[X]) ^ 2) ∂μ := by
rw [evariance]
congr
ext1 ω
rw [pow_two, ← ENNReal.coe_mul, ← nnnorm_mul, ← pow_two]
congr
exact (Real.toNNReal_eq_nnnorm_of_nonneg <| sq_nonneg _).symm
#align probability_theory.evariance_eq_lintegral_of_real ProbabilityTheory.evariance_eq_lintegral_ofReal
theorem _root_.MeasureTheory.Memℒp.variance_eq_of_integral_eq_zero (hX : Memℒp X 2 μ)
(hXint : μ[X] = 0) : variance X μ = μ[X ^ (2 : Nat)] := by
rw [variance, evariance_eq_lintegral_ofReal, ← ofReal_integral_eq_lintegral_ofReal,
ENNReal.toReal_ofReal (by positivity)] <;>
simp_rw [hXint, sub_zero]
· rfl
· convert hX.integrable_norm_rpow two_ne_zero ENNReal.two_ne_top with ω
simp only [Pi.sub_apply, Real.norm_eq_abs, coe_two, ENNReal.one_toReal,
Real.rpow_two, sq_abs, abs_pow]
· exact ae_of_all _ fun ω => pow_two_nonneg _
#align measure_theory.mem_ℒp.variance_eq_of_integral_eq_zero MeasureTheory.Memℒp.variance_eq_of_integral_eq_zero
| Mathlib/Probability/Variance.lean | 128 | 139 | theorem _root_.MeasureTheory.Memℒp.variance_eq [IsFiniteMeasure μ] (hX : Memℒp X 2 μ) :
variance X μ = μ[(X - fun _ => μ[X] :) ^ (2 : Nat)] := by |
rw [variance, evariance_eq_lintegral_ofReal, ← ofReal_integral_eq_lintegral_ofReal,
ENNReal.toReal_ofReal (by positivity)]
· rfl
· -- Porting note: `μ[X]` without whitespace is ambiguous as it could be GetElem,
-- and `convert` cannot disambiguate based on typeclass inference failure.
convert (hX.sub <| memℒp_const (μ [X])).integrable_norm_rpow two_ne_zero ENNReal.two_ne_top
with ω
simp only [Pi.sub_apply, Real.norm_eq_abs, coe_two, ENNReal.one_toReal,
Real.rpow_two, sq_abs, abs_pow]
· exact ae_of_all _ fun ω => pow_two_nonneg _
| 10 | 22,026.465795 | 2 | 1.857143 | 7 | 1,927 |
import Mathlib.Algebra.Order.Ring.Nat
import Mathlib.Algebra.Order.Monoid.WithTop
#align_import data.nat.with_bot from "leanprover-community/mathlib"@"966e0cf0685c9cedf8a3283ac69eef4d5f2eaca2"
namespace Nat
namespace WithBot
instance : WellFoundedRelation (WithBot ℕ) where
rel := (· < ·)
wf := IsWellFounded.wf
| Mathlib/Data/Nat/WithBot.lean | 27 | 32 | theorem add_eq_zero_iff {n m : WithBot ℕ} : n + m = 0 ↔ n = 0 ∧ m = 0 := by |
rcases n, m with ⟨_ | _, _ | _⟩
repeat (· exact ⟨fun h => Option.noConfusion h, fun h => Option.noConfusion h.1⟩)
· exact ⟨fun h => Option.noConfusion h, fun h => Option.noConfusion h.2⟩
repeat erw [WithBot.coe_eq_coe]
exact add_eq_zero_iff' (zero_le _) (zero_le _)
| 5 | 148.413159 | 2 | 1.857143 | 7 | 1,928 |
import Mathlib.Algebra.Order.Ring.Nat
import Mathlib.Algebra.Order.Monoid.WithTop
#align_import data.nat.with_bot from "leanprover-community/mathlib"@"966e0cf0685c9cedf8a3283ac69eef4d5f2eaca2"
namespace Nat
namespace WithBot
instance : WellFoundedRelation (WithBot ℕ) where
rel := (· < ·)
wf := IsWellFounded.wf
theorem add_eq_zero_iff {n m : WithBot ℕ} : n + m = 0 ↔ n = 0 ∧ m = 0 := by
rcases n, m with ⟨_ | _, _ | _⟩
repeat (· exact ⟨fun h => Option.noConfusion h, fun h => Option.noConfusion h.1⟩)
· exact ⟨fun h => Option.noConfusion h, fun h => Option.noConfusion h.2⟩
repeat erw [WithBot.coe_eq_coe]
exact add_eq_zero_iff' (zero_le _) (zero_le _)
#align nat.with_bot.add_eq_zero_iff Nat.WithBot.add_eq_zero_iff
| Mathlib/Data/Nat/WithBot.lean | 35 | 40 | theorem add_eq_one_iff {n m : WithBot ℕ} : n + m = 1 ↔ n = 0 ∧ m = 1 ∨ n = 1 ∧ m = 0 := by |
rcases n, m with ⟨_ | _, _ | _⟩
repeat refine ⟨fun h => Option.noConfusion h, fun h => ?_⟩;
aesop (simp_config := { decide := true })
repeat erw [WithBot.coe_eq_coe]
exact Nat.add_eq_one_iff
| 5 | 148.413159 | 2 | 1.857143 | 7 | 1,928 |
import Mathlib.Algebra.Order.Ring.Nat
import Mathlib.Algebra.Order.Monoid.WithTop
#align_import data.nat.with_bot from "leanprover-community/mathlib"@"966e0cf0685c9cedf8a3283ac69eef4d5f2eaca2"
namespace Nat
namespace WithBot
instance : WellFoundedRelation (WithBot ℕ) where
rel := (· < ·)
wf := IsWellFounded.wf
theorem add_eq_zero_iff {n m : WithBot ℕ} : n + m = 0 ↔ n = 0 ∧ m = 0 := by
rcases n, m with ⟨_ | _, _ | _⟩
repeat (· exact ⟨fun h => Option.noConfusion h, fun h => Option.noConfusion h.1⟩)
· exact ⟨fun h => Option.noConfusion h, fun h => Option.noConfusion h.2⟩
repeat erw [WithBot.coe_eq_coe]
exact add_eq_zero_iff' (zero_le _) (zero_le _)
#align nat.with_bot.add_eq_zero_iff Nat.WithBot.add_eq_zero_iff
theorem add_eq_one_iff {n m : WithBot ℕ} : n + m = 1 ↔ n = 0 ∧ m = 1 ∨ n = 1 ∧ m = 0 := by
rcases n, m with ⟨_ | _, _ | _⟩
repeat refine ⟨fun h => Option.noConfusion h, fun h => ?_⟩;
aesop (simp_config := { decide := true })
repeat erw [WithBot.coe_eq_coe]
exact Nat.add_eq_one_iff
#align nat.with_bot.add_eq_one_iff Nat.WithBot.add_eq_one_iff
| Mathlib/Data/Nat/WithBot.lean | 43 | 49 | theorem add_eq_two_iff {n m : WithBot ℕ} :
n + m = 2 ↔ n = 0 ∧ m = 2 ∨ n = 1 ∧ m = 1 ∨ n = 2 ∧ m = 0 := by |
rcases n, m with ⟨_ | _, _ | _⟩
repeat refine ⟨fun h => Option.noConfusion h, fun h => ?_⟩;
aesop (simp_config := { decide := true })
repeat erw [WithBot.coe_eq_coe]
exact Nat.add_eq_two_iff
| 5 | 148.413159 | 2 | 1.857143 | 7 | 1,928 |
import Mathlib.Algebra.Order.Ring.Nat
import Mathlib.Algebra.Order.Monoid.WithTop
#align_import data.nat.with_bot from "leanprover-community/mathlib"@"966e0cf0685c9cedf8a3283ac69eef4d5f2eaca2"
namespace Nat
namespace WithBot
instance : WellFoundedRelation (WithBot ℕ) where
rel := (· < ·)
wf := IsWellFounded.wf
theorem add_eq_zero_iff {n m : WithBot ℕ} : n + m = 0 ↔ n = 0 ∧ m = 0 := by
rcases n, m with ⟨_ | _, _ | _⟩
repeat (· exact ⟨fun h => Option.noConfusion h, fun h => Option.noConfusion h.1⟩)
· exact ⟨fun h => Option.noConfusion h, fun h => Option.noConfusion h.2⟩
repeat erw [WithBot.coe_eq_coe]
exact add_eq_zero_iff' (zero_le _) (zero_le _)
#align nat.with_bot.add_eq_zero_iff Nat.WithBot.add_eq_zero_iff
theorem add_eq_one_iff {n m : WithBot ℕ} : n + m = 1 ↔ n = 0 ∧ m = 1 ∨ n = 1 ∧ m = 0 := by
rcases n, m with ⟨_ | _, _ | _⟩
repeat refine ⟨fun h => Option.noConfusion h, fun h => ?_⟩;
aesop (simp_config := { decide := true })
repeat erw [WithBot.coe_eq_coe]
exact Nat.add_eq_one_iff
#align nat.with_bot.add_eq_one_iff Nat.WithBot.add_eq_one_iff
theorem add_eq_two_iff {n m : WithBot ℕ} :
n + m = 2 ↔ n = 0 ∧ m = 2 ∨ n = 1 ∧ m = 1 ∨ n = 2 ∧ m = 0 := by
rcases n, m with ⟨_ | _, _ | _⟩
repeat refine ⟨fun h => Option.noConfusion h, fun h => ?_⟩;
aesop (simp_config := { decide := true })
repeat erw [WithBot.coe_eq_coe]
exact Nat.add_eq_two_iff
#align nat.with_bot.add_eq_two_iff Nat.WithBot.add_eq_two_iff
| Mathlib/Data/Nat/WithBot.lean | 52 | 58 | theorem add_eq_three_iff {n m : WithBot ℕ} :
n + m = 3 ↔ n = 0 ∧ m = 3 ∨ n = 1 ∧ m = 2 ∨ n = 2 ∧ m = 1 ∨ n = 3 ∧ m = 0 := by |
rcases n, m with ⟨_ | _, _ | _⟩
repeat refine ⟨fun h => Option.noConfusion h, fun h => ?_⟩;
aesop (simp_config := { decide := true })
repeat erw [WithBot.coe_eq_coe]
exact Nat.add_eq_three_iff
| 5 | 148.413159 | 2 | 1.857143 | 7 | 1,928 |
import Mathlib.Algebra.Order.Ring.Nat
import Mathlib.Algebra.Order.Monoid.WithTop
#align_import data.nat.with_bot from "leanprover-community/mathlib"@"966e0cf0685c9cedf8a3283ac69eef4d5f2eaca2"
namespace Nat
namespace WithBot
instance : WellFoundedRelation (WithBot ℕ) where
rel := (· < ·)
wf := IsWellFounded.wf
theorem add_eq_zero_iff {n m : WithBot ℕ} : n + m = 0 ↔ n = 0 ∧ m = 0 := by
rcases n, m with ⟨_ | _, _ | _⟩
repeat (· exact ⟨fun h => Option.noConfusion h, fun h => Option.noConfusion h.1⟩)
· exact ⟨fun h => Option.noConfusion h, fun h => Option.noConfusion h.2⟩
repeat erw [WithBot.coe_eq_coe]
exact add_eq_zero_iff' (zero_le _) (zero_le _)
#align nat.with_bot.add_eq_zero_iff Nat.WithBot.add_eq_zero_iff
theorem add_eq_one_iff {n m : WithBot ℕ} : n + m = 1 ↔ n = 0 ∧ m = 1 ∨ n = 1 ∧ m = 0 := by
rcases n, m with ⟨_ | _, _ | _⟩
repeat refine ⟨fun h => Option.noConfusion h, fun h => ?_⟩;
aesop (simp_config := { decide := true })
repeat erw [WithBot.coe_eq_coe]
exact Nat.add_eq_one_iff
#align nat.with_bot.add_eq_one_iff Nat.WithBot.add_eq_one_iff
theorem add_eq_two_iff {n m : WithBot ℕ} :
n + m = 2 ↔ n = 0 ∧ m = 2 ∨ n = 1 ∧ m = 1 ∨ n = 2 ∧ m = 0 := by
rcases n, m with ⟨_ | _, _ | _⟩
repeat refine ⟨fun h => Option.noConfusion h, fun h => ?_⟩;
aesop (simp_config := { decide := true })
repeat erw [WithBot.coe_eq_coe]
exact Nat.add_eq_two_iff
#align nat.with_bot.add_eq_two_iff Nat.WithBot.add_eq_two_iff
theorem add_eq_three_iff {n m : WithBot ℕ} :
n + m = 3 ↔ n = 0 ∧ m = 3 ∨ n = 1 ∧ m = 2 ∨ n = 2 ∧ m = 1 ∨ n = 3 ∧ m = 0 := by
rcases n, m with ⟨_ | _, _ | _⟩
repeat refine ⟨fun h => Option.noConfusion h, fun h => ?_⟩;
aesop (simp_config := { decide := true })
repeat erw [WithBot.coe_eq_coe]
exact Nat.add_eq_three_iff
#align nat.with_bot.add_eq_three_iff Nat.WithBot.add_eq_three_iff
| Mathlib/Data/Nat/WithBot.lean | 61 | 63 | theorem coe_nonneg {n : ℕ} : 0 ≤ (n : WithBot ℕ) := by |
rw [← WithBot.coe_zero]
exact WithBot.coe_le_coe.mpr (Nat.zero_le n)
| 2 | 7.389056 | 1 | 1.857143 | 7 | 1,928 |
import Mathlib.Algebra.Order.Ring.Nat
import Mathlib.Algebra.Order.Monoid.WithTop
#align_import data.nat.with_bot from "leanprover-community/mathlib"@"966e0cf0685c9cedf8a3283ac69eef4d5f2eaca2"
namespace Nat
namespace WithBot
instance : WellFoundedRelation (WithBot ℕ) where
rel := (· < ·)
wf := IsWellFounded.wf
theorem add_eq_zero_iff {n m : WithBot ℕ} : n + m = 0 ↔ n = 0 ∧ m = 0 := by
rcases n, m with ⟨_ | _, _ | _⟩
repeat (· exact ⟨fun h => Option.noConfusion h, fun h => Option.noConfusion h.1⟩)
· exact ⟨fun h => Option.noConfusion h, fun h => Option.noConfusion h.2⟩
repeat erw [WithBot.coe_eq_coe]
exact add_eq_zero_iff' (zero_le _) (zero_le _)
#align nat.with_bot.add_eq_zero_iff Nat.WithBot.add_eq_zero_iff
theorem add_eq_one_iff {n m : WithBot ℕ} : n + m = 1 ↔ n = 0 ∧ m = 1 ∨ n = 1 ∧ m = 0 := by
rcases n, m with ⟨_ | _, _ | _⟩
repeat refine ⟨fun h => Option.noConfusion h, fun h => ?_⟩;
aesop (simp_config := { decide := true })
repeat erw [WithBot.coe_eq_coe]
exact Nat.add_eq_one_iff
#align nat.with_bot.add_eq_one_iff Nat.WithBot.add_eq_one_iff
theorem add_eq_two_iff {n m : WithBot ℕ} :
n + m = 2 ↔ n = 0 ∧ m = 2 ∨ n = 1 ∧ m = 1 ∨ n = 2 ∧ m = 0 := by
rcases n, m with ⟨_ | _, _ | _⟩
repeat refine ⟨fun h => Option.noConfusion h, fun h => ?_⟩;
aesop (simp_config := { decide := true })
repeat erw [WithBot.coe_eq_coe]
exact Nat.add_eq_two_iff
#align nat.with_bot.add_eq_two_iff Nat.WithBot.add_eq_two_iff
theorem add_eq_three_iff {n m : WithBot ℕ} :
n + m = 3 ↔ n = 0 ∧ m = 3 ∨ n = 1 ∧ m = 2 ∨ n = 2 ∧ m = 1 ∨ n = 3 ∧ m = 0 := by
rcases n, m with ⟨_ | _, _ | _⟩
repeat refine ⟨fun h => Option.noConfusion h, fun h => ?_⟩;
aesop (simp_config := { decide := true })
repeat erw [WithBot.coe_eq_coe]
exact Nat.add_eq_three_iff
#align nat.with_bot.add_eq_three_iff Nat.WithBot.add_eq_three_iff
theorem coe_nonneg {n : ℕ} : 0 ≤ (n : WithBot ℕ) := by
rw [← WithBot.coe_zero]
exact WithBot.coe_le_coe.mpr (Nat.zero_le n)
#align nat.with_bot.coe_nonneg Nat.WithBot.coe_nonneg
@[simp]
theorem lt_zero_iff {n : WithBot ℕ} : n < 0 ↔ n = ⊥ := WithBot.lt_coe_bot
#align nat.with_bot.lt_zero_iff Nat.WithBot.lt_zero_iff
| Mathlib/Data/Nat/WithBot.lean | 70 | 74 | theorem one_le_iff_zero_lt {x : WithBot ℕ} : 1 ≤ x ↔ 0 < x := by |
refine ⟨fun h => lt_of_lt_of_le (WithBot.coe_lt_coe.mpr zero_lt_one) h, fun h => ?_⟩
induction x
· exact (not_lt_bot h).elim
· exact WithBot.coe_le_coe.mpr (Nat.succ_le_iff.mpr (WithBot.coe_lt_coe.mp h))
| 4 | 54.59815 | 2 | 1.857143 | 7 | 1,928 |
import Mathlib.Algebra.Order.Ring.Nat
import Mathlib.Algebra.Order.Monoid.WithTop
#align_import data.nat.with_bot from "leanprover-community/mathlib"@"966e0cf0685c9cedf8a3283ac69eef4d5f2eaca2"
namespace Nat
namespace WithBot
instance : WellFoundedRelation (WithBot ℕ) where
rel := (· < ·)
wf := IsWellFounded.wf
theorem add_eq_zero_iff {n m : WithBot ℕ} : n + m = 0 ↔ n = 0 ∧ m = 0 := by
rcases n, m with ⟨_ | _, _ | _⟩
repeat (· exact ⟨fun h => Option.noConfusion h, fun h => Option.noConfusion h.1⟩)
· exact ⟨fun h => Option.noConfusion h, fun h => Option.noConfusion h.2⟩
repeat erw [WithBot.coe_eq_coe]
exact add_eq_zero_iff' (zero_le _) (zero_le _)
#align nat.with_bot.add_eq_zero_iff Nat.WithBot.add_eq_zero_iff
theorem add_eq_one_iff {n m : WithBot ℕ} : n + m = 1 ↔ n = 0 ∧ m = 1 ∨ n = 1 ∧ m = 0 := by
rcases n, m with ⟨_ | _, _ | _⟩
repeat refine ⟨fun h => Option.noConfusion h, fun h => ?_⟩;
aesop (simp_config := { decide := true })
repeat erw [WithBot.coe_eq_coe]
exact Nat.add_eq_one_iff
#align nat.with_bot.add_eq_one_iff Nat.WithBot.add_eq_one_iff
theorem add_eq_two_iff {n m : WithBot ℕ} :
n + m = 2 ↔ n = 0 ∧ m = 2 ∨ n = 1 ∧ m = 1 ∨ n = 2 ∧ m = 0 := by
rcases n, m with ⟨_ | _, _ | _⟩
repeat refine ⟨fun h => Option.noConfusion h, fun h => ?_⟩;
aesop (simp_config := { decide := true })
repeat erw [WithBot.coe_eq_coe]
exact Nat.add_eq_two_iff
#align nat.with_bot.add_eq_two_iff Nat.WithBot.add_eq_two_iff
theorem add_eq_three_iff {n m : WithBot ℕ} :
n + m = 3 ↔ n = 0 ∧ m = 3 ∨ n = 1 ∧ m = 2 ∨ n = 2 ∧ m = 1 ∨ n = 3 ∧ m = 0 := by
rcases n, m with ⟨_ | _, _ | _⟩
repeat refine ⟨fun h => Option.noConfusion h, fun h => ?_⟩;
aesop (simp_config := { decide := true })
repeat erw [WithBot.coe_eq_coe]
exact Nat.add_eq_three_iff
#align nat.with_bot.add_eq_three_iff Nat.WithBot.add_eq_three_iff
theorem coe_nonneg {n : ℕ} : 0 ≤ (n : WithBot ℕ) := by
rw [← WithBot.coe_zero]
exact WithBot.coe_le_coe.mpr (Nat.zero_le n)
#align nat.with_bot.coe_nonneg Nat.WithBot.coe_nonneg
@[simp]
theorem lt_zero_iff {n : WithBot ℕ} : n < 0 ↔ n = ⊥ := WithBot.lt_coe_bot
#align nat.with_bot.lt_zero_iff Nat.WithBot.lt_zero_iff
theorem one_le_iff_zero_lt {x : WithBot ℕ} : 1 ≤ x ↔ 0 < x := by
refine ⟨fun h => lt_of_lt_of_le (WithBot.coe_lt_coe.mpr zero_lt_one) h, fun h => ?_⟩
induction x
· exact (not_lt_bot h).elim
· exact WithBot.coe_le_coe.mpr (Nat.succ_le_iff.mpr (WithBot.coe_lt_coe.mp h))
#align nat.with_bot.one_le_iff_zero_lt Nat.WithBot.one_le_iff_zero_lt
theorem lt_one_iff_le_zero {x : WithBot ℕ} : x < 1 ↔ x ≤ 0 :=
not_iff_not.mp (by simpa using one_le_iff_zero_lt)
#align nat.with_bot.lt_one_iff_le_zero Nat.WithBot.lt_one_iff_le_zero
| Mathlib/Data/Nat/WithBot.lean | 81 | 85 | theorem add_one_le_of_lt {n m : WithBot ℕ} (h : n < m) : n + 1 ≤ m := by |
cases n
· exact bot_le
cases m
exacts [(not_lt_bot h).elim, WithBot.coe_le_coe.2 (WithBot.coe_lt_coe.1 h)]
| 4 | 54.59815 | 2 | 1.857143 | 7 | 1,928 |
import Mathlib.LinearAlgebra.TensorProduct.Basic
import Mathlib.RingTheory.Finiteness
open scoped TensorProduct
open Submodule
variable {R M N : Type*}
variable [CommSemiring R] [AddCommMonoid M] [AddCommMonoid N] [Module R M] [Module R N]
variable {M₁ M₂ : Submodule R M} {N₁ N₂ : Submodule R N}
namespace TensorProduct
| Mathlib/LinearAlgebra/TensorProduct/Finiteness.lean | 52 | 60 | theorem exists_multiset (x : M ⊗[R] N) :
∃ S : Multiset (M × N), x = (S.map fun i ↦ i.1 ⊗ₜ[R] i.2).sum := by |
induction x using TensorProduct.induction_on with
| zero => exact ⟨0, by simp⟩
| tmul x y => exact ⟨{(x, y)}, by simp⟩
| add x y hx hy =>
obtain ⟨Sx, hx⟩ := hx
obtain ⟨Sy, hy⟩ := hy
exact ⟨Sx + Sy, by rw [Multiset.map_add, Multiset.sum_add, hx, hy]⟩
| 7 | 1,096.633158 | 2 | 1.875 | 8 | 1,929 |
import Mathlib.LinearAlgebra.TensorProduct.Basic
import Mathlib.RingTheory.Finiteness
open scoped TensorProduct
open Submodule
variable {R M N : Type*}
variable [CommSemiring R] [AddCommMonoid M] [AddCommMonoid N] [Module R M] [Module R N]
variable {M₁ M₂ : Submodule R M} {N₁ N₂ : Submodule R N}
namespace TensorProduct
theorem exists_multiset (x : M ⊗[R] N) :
∃ S : Multiset (M × N), x = (S.map fun i ↦ i.1 ⊗ₜ[R] i.2).sum := by
induction x using TensorProduct.induction_on with
| zero => exact ⟨0, by simp⟩
| tmul x y => exact ⟨{(x, y)}, by simp⟩
| add x y hx hy =>
obtain ⟨Sx, hx⟩ := hx
obtain ⟨Sy, hy⟩ := hy
exact ⟨Sx + Sy, by rw [Multiset.map_add, Multiset.sum_add, hx, hy]⟩
| Mathlib/LinearAlgebra/TensorProduct/Finiteness.lean | 65 | 75 | theorem exists_finsupp_left (x : M ⊗[R] N) :
∃ S : M →₀ N, x = S.sum fun m n ↦ m ⊗ₜ[R] n := by |
induction x using TensorProduct.induction_on with
| zero => exact ⟨0, by simp⟩
| tmul x y => exact ⟨Finsupp.single x y, by simp⟩
| add x y hx hy =>
obtain ⟨Sx, hx⟩ := hx
obtain ⟨Sy, hy⟩ := hy
use Sx + Sy
rw [hx, hy]
exact (Finsupp.sum_add_index' (by simp) TensorProduct.tmul_add).symm
| 9 | 8,103.083928 | 2 | 1.875 | 8 | 1,929 |
import Mathlib.LinearAlgebra.TensorProduct.Basic
import Mathlib.RingTheory.Finiteness
open scoped TensorProduct
open Submodule
variable {R M N : Type*}
variable [CommSemiring R] [AddCommMonoid M] [AddCommMonoid N] [Module R M] [Module R N]
variable {M₁ M₂ : Submodule R M} {N₁ N₂ : Submodule R N}
namespace TensorProduct
theorem exists_multiset (x : M ⊗[R] N) :
∃ S : Multiset (M × N), x = (S.map fun i ↦ i.1 ⊗ₜ[R] i.2).sum := by
induction x using TensorProduct.induction_on with
| zero => exact ⟨0, by simp⟩
| tmul x y => exact ⟨{(x, y)}, by simp⟩
| add x y hx hy =>
obtain ⟨Sx, hx⟩ := hx
obtain ⟨Sy, hy⟩ := hy
exact ⟨Sx + Sy, by rw [Multiset.map_add, Multiset.sum_add, hx, hy]⟩
theorem exists_finsupp_left (x : M ⊗[R] N) :
∃ S : M →₀ N, x = S.sum fun m n ↦ m ⊗ₜ[R] n := by
induction x using TensorProduct.induction_on with
| zero => exact ⟨0, by simp⟩
| tmul x y => exact ⟨Finsupp.single x y, by simp⟩
| add x y hx hy =>
obtain ⟨Sx, hx⟩ := hx
obtain ⟨Sy, hy⟩ := hy
use Sx + Sy
rw [hx, hy]
exact (Finsupp.sum_add_index' (by simp) TensorProduct.tmul_add).symm
| Mathlib/LinearAlgebra/TensorProduct/Finiteness.lean | 80 | 84 | theorem exists_finsupp_right (x : M ⊗[R] N) :
∃ S : N →₀ M, x = S.sum fun n m ↦ m ⊗ₜ[R] n := by |
obtain ⟨S, h⟩ := exists_finsupp_left (TensorProduct.comm R M N x)
refine ⟨S, (TensorProduct.comm R M N).injective ?_⟩
simp_rw [h, Finsupp.sum, map_sum, comm_tmul]
| 3 | 20.085537 | 1 | 1.875 | 8 | 1,929 |
import Mathlib.LinearAlgebra.TensorProduct.Basic
import Mathlib.RingTheory.Finiteness
open scoped TensorProduct
open Submodule
variable {R M N : Type*}
variable [CommSemiring R] [AddCommMonoid M] [AddCommMonoid N] [Module R M] [Module R N]
variable {M₁ M₂ : Submodule R M} {N₁ N₂ : Submodule R N}
namespace TensorProduct
theorem exists_multiset (x : M ⊗[R] N) :
∃ S : Multiset (M × N), x = (S.map fun i ↦ i.1 ⊗ₜ[R] i.2).sum := by
induction x using TensorProduct.induction_on with
| zero => exact ⟨0, by simp⟩
| tmul x y => exact ⟨{(x, y)}, by simp⟩
| add x y hx hy =>
obtain ⟨Sx, hx⟩ := hx
obtain ⟨Sy, hy⟩ := hy
exact ⟨Sx + Sy, by rw [Multiset.map_add, Multiset.sum_add, hx, hy]⟩
theorem exists_finsupp_left (x : M ⊗[R] N) :
∃ S : M →₀ N, x = S.sum fun m n ↦ m ⊗ₜ[R] n := by
induction x using TensorProduct.induction_on with
| zero => exact ⟨0, by simp⟩
| tmul x y => exact ⟨Finsupp.single x y, by simp⟩
| add x y hx hy =>
obtain ⟨Sx, hx⟩ := hx
obtain ⟨Sy, hy⟩ := hy
use Sx + Sy
rw [hx, hy]
exact (Finsupp.sum_add_index' (by simp) TensorProduct.tmul_add).symm
theorem exists_finsupp_right (x : M ⊗[R] N) :
∃ S : N →₀ M, x = S.sum fun n m ↦ m ⊗ₜ[R] n := by
obtain ⟨S, h⟩ := exists_finsupp_left (TensorProduct.comm R M N x)
refine ⟨S, (TensorProduct.comm R M N).injective ?_⟩
simp_rw [h, Finsupp.sum, map_sum, comm_tmul]
| Mathlib/LinearAlgebra/TensorProduct/Finiteness.lean | 88 | 93 | theorem exists_finset (x : M ⊗[R] N) :
∃ S : Finset (M × N), x = S.sum fun i ↦ i.1 ⊗ₜ[R] i.2 := by |
obtain ⟨S, h⟩ := exists_finsupp_left x
use S.graph
rw [h, Finsupp.sum]
apply Finset.sum_nbij' (fun m ↦ ⟨m, S m⟩) Prod.fst <;> simp
| 4 | 54.59815 | 2 | 1.875 | 8 | 1,929 |
import Mathlib.LinearAlgebra.TensorProduct.Basic
import Mathlib.RingTheory.Finiteness
open scoped TensorProduct
open Submodule
variable {R M N : Type*}
variable [CommSemiring R] [AddCommMonoid M] [AddCommMonoid N] [Module R M] [Module R N]
variable {M₁ M₂ : Submodule R M} {N₁ N₂ : Submodule R N}
namespace TensorProduct
theorem exists_multiset (x : M ⊗[R] N) :
∃ S : Multiset (M × N), x = (S.map fun i ↦ i.1 ⊗ₜ[R] i.2).sum := by
induction x using TensorProduct.induction_on with
| zero => exact ⟨0, by simp⟩
| tmul x y => exact ⟨{(x, y)}, by simp⟩
| add x y hx hy =>
obtain ⟨Sx, hx⟩ := hx
obtain ⟨Sy, hy⟩ := hy
exact ⟨Sx + Sy, by rw [Multiset.map_add, Multiset.sum_add, hx, hy]⟩
theorem exists_finsupp_left (x : M ⊗[R] N) :
∃ S : M →₀ N, x = S.sum fun m n ↦ m ⊗ₜ[R] n := by
induction x using TensorProduct.induction_on with
| zero => exact ⟨0, by simp⟩
| tmul x y => exact ⟨Finsupp.single x y, by simp⟩
| add x y hx hy =>
obtain ⟨Sx, hx⟩ := hx
obtain ⟨Sy, hy⟩ := hy
use Sx + Sy
rw [hx, hy]
exact (Finsupp.sum_add_index' (by simp) TensorProduct.tmul_add).symm
theorem exists_finsupp_right (x : M ⊗[R] N) :
∃ S : N →₀ M, x = S.sum fun n m ↦ m ⊗ₜ[R] n := by
obtain ⟨S, h⟩ := exists_finsupp_left (TensorProduct.comm R M N x)
refine ⟨S, (TensorProduct.comm R M N).injective ?_⟩
simp_rw [h, Finsupp.sum, map_sum, comm_tmul]
theorem exists_finset (x : M ⊗[R] N) :
∃ S : Finset (M × N), x = S.sum fun i ↦ i.1 ⊗ₜ[R] i.2 := by
obtain ⟨S, h⟩ := exists_finsupp_left x
use S.graph
rw [h, Finsupp.sum]
apply Finset.sum_nbij' (fun m ↦ ⟨m, S m⟩) Prod.fst <;> simp
| Mathlib/LinearAlgebra/TensorProduct/Finiteness.lean | 98 | 116 | theorem exists_finite_submodule_of_finite (s : Set (M ⊗[R] N)) (hs : s.Finite) :
∃ (M' : Submodule R M) (N' : Submodule R N), Module.Finite R M' ∧ Module.Finite R N' ∧
s ⊆ LinearMap.range (mapIncl M' N') := by |
simp_rw [Module.Finite.iff_fg]
refine hs.induction_on ⟨_, _, fg_bot, fg_bot, Set.empty_subset _⟩ ?_
rintro a s - - ⟨M', N', hM', hN', h⟩
refine TensorProduct.induction_on a ?_ (fun x y ↦ ?_) fun x y hx hy ↦ ?_
· exact ⟨M', N', hM', hN', Set.insert_subset (zero_mem _) h⟩
· refine ⟨_, _, hM'.sup (fg_span_singleton x),
hN'.sup (fg_span_singleton y), Set.insert_subset ?_ fun z hz ↦ ?_⟩
· exact ⟨⟨x, mem_sup_right (mem_span_singleton_self x)⟩ ⊗ₜ
⟨y, mem_sup_right (mem_span_singleton_self y)⟩, rfl⟩
· exact range_mapIncl_mono le_sup_left le_sup_left (h hz)
· obtain ⟨M₁', N₁', hM₁', hN₁', h₁⟩ := hx
obtain ⟨M₂', N₂', hM₂', hN₂', h₂⟩ := hy
refine ⟨_, _, hM₁'.sup hM₂', hN₁'.sup hN₂', Set.insert_subset (add_mem ?_ ?_) fun z hz ↦ ?_⟩
· exact range_mapIncl_mono le_sup_left le_sup_left (h₁ (Set.mem_insert x s))
· exact range_mapIncl_mono le_sup_right le_sup_right (h₂ (Set.mem_insert y s))
· exact range_mapIncl_mono le_sup_left le_sup_left (h₁ (Set.subset_insert x s hz))
| 16 | 8,886,110.520508 | 2 | 1.875 | 8 | 1,929 |
import Mathlib.LinearAlgebra.TensorProduct.Basic
import Mathlib.RingTheory.Finiteness
open scoped TensorProduct
open Submodule
variable {R M N : Type*}
variable [CommSemiring R] [AddCommMonoid M] [AddCommMonoid N] [Module R M] [Module R N]
variable {M₁ M₂ : Submodule R M} {N₁ N₂ : Submodule R N}
namespace TensorProduct
theorem exists_multiset (x : M ⊗[R] N) :
∃ S : Multiset (M × N), x = (S.map fun i ↦ i.1 ⊗ₜ[R] i.2).sum := by
induction x using TensorProduct.induction_on with
| zero => exact ⟨0, by simp⟩
| tmul x y => exact ⟨{(x, y)}, by simp⟩
| add x y hx hy =>
obtain ⟨Sx, hx⟩ := hx
obtain ⟨Sy, hy⟩ := hy
exact ⟨Sx + Sy, by rw [Multiset.map_add, Multiset.sum_add, hx, hy]⟩
theorem exists_finsupp_left (x : M ⊗[R] N) :
∃ S : M →₀ N, x = S.sum fun m n ↦ m ⊗ₜ[R] n := by
induction x using TensorProduct.induction_on with
| zero => exact ⟨0, by simp⟩
| tmul x y => exact ⟨Finsupp.single x y, by simp⟩
| add x y hx hy =>
obtain ⟨Sx, hx⟩ := hx
obtain ⟨Sy, hy⟩ := hy
use Sx + Sy
rw [hx, hy]
exact (Finsupp.sum_add_index' (by simp) TensorProduct.tmul_add).symm
theorem exists_finsupp_right (x : M ⊗[R] N) :
∃ S : N →₀ M, x = S.sum fun n m ↦ m ⊗ₜ[R] n := by
obtain ⟨S, h⟩ := exists_finsupp_left (TensorProduct.comm R M N x)
refine ⟨S, (TensorProduct.comm R M N).injective ?_⟩
simp_rw [h, Finsupp.sum, map_sum, comm_tmul]
theorem exists_finset (x : M ⊗[R] N) :
∃ S : Finset (M × N), x = S.sum fun i ↦ i.1 ⊗ₜ[R] i.2 := by
obtain ⟨S, h⟩ := exists_finsupp_left x
use S.graph
rw [h, Finsupp.sum]
apply Finset.sum_nbij' (fun m ↦ ⟨m, S m⟩) Prod.fst <;> simp
theorem exists_finite_submodule_of_finite (s : Set (M ⊗[R] N)) (hs : s.Finite) :
∃ (M' : Submodule R M) (N' : Submodule R N), Module.Finite R M' ∧ Module.Finite R N' ∧
s ⊆ LinearMap.range (mapIncl M' N') := by
simp_rw [Module.Finite.iff_fg]
refine hs.induction_on ⟨_, _, fg_bot, fg_bot, Set.empty_subset _⟩ ?_
rintro a s - - ⟨M', N', hM', hN', h⟩
refine TensorProduct.induction_on a ?_ (fun x y ↦ ?_) fun x y hx hy ↦ ?_
· exact ⟨M', N', hM', hN', Set.insert_subset (zero_mem _) h⟩
· refine ⟨_, _, hM'.sup (fg_span_singleton x),
hN'.sup (fg_span_singleton y), Set.insert_subset ?_ fun z hz ↦ ?_⟩
· exact ⟨⟨x, mem_sup_right (mem_span_singleton_self x)⟩ ⊗ₜ
⟨y, mem_sup_right (mem_span_singleton_self y)⟩, rfl⟩
· exact range_mapIncl_mono le_sup_left le_sup_left (h hz)
· obtain ⟨M₁', N₁', hM₁', hN₁', h₁⟩ := hx
obtain ⟨M₂', N₂', hM₂', hN₂', h₂⟩ := hy
refine ⟨_, _, hM₁'.sup hM₂', hN₁'.sup hN₂', Set.insert_subset (add_mem ?_ ?_) fun z hz ↦ ?_⟩
· exact range_mapIncl_mono le_sup_left le_sup_left (h₁ (Set.mem_insert x s))
· exact range_mapIncl_mono le_sup_right le_sup_right (h₂ (Set.mem_insert y s))
· exact range_mapIncl_mono le_sup_left le_sup_left (h₁ (Set.subset_insert x s hz))
| Mathlib/LinearAlgebra/TensorProduct/Finiteness.lean | 121 | 126 | theorem exists_finite_submodule_left_of_finite (s : Set (M ⊗[R] N)) (hs : s.Finite) :
∃ M' : Submodule R M, Module.Finite R M' ∧ s ⊆ LinearMap.range (M'.subtype.rTensor N) := by |
obtain ⟨M', _, hfin, _, h⟩ := exists_finite_submodule_of_finite s hs
refine ⟨M', hfin, ?_⟩
rw [mapIncl, ← LinearMap.rTensor_comp_lTensor] at h
exact h.trans (LinearMap.range_comp_le_range _ _)
| 4 | 54.59815 | 2 | 1.875 | 8 | 1,929 |
import Mathlib.LinearAlgebra.TensorProduct.Basic
import Mathlib.RingTheory.Finiteness
open scoped TensorProduct
open Submodule
variable {R M N : Type*}
variable [CommSemiring R] [AddCommMonoid M] [AddCommMonoid N] [Module R M] [Module R N]
variable {M₁ M₂ : Submodule R M} {N₁ N₂ : Submodule R N}
namespace TensorProduct
theorem exists_multiset (x : M ⊗[R] N) :
∃ S : Multiset (M × N), x = (S.map fun i ↦ i.1 ⊗ₜ[R] i.2).sum := by
induction x using TensorProduct.induction_on with
| zero => exact ⟨0, by simp⟩
| tmul x y => exact ⟨{(x, y)}, by simp⟩
| add x y hx hy =>
obtain ⟨Sx, hx⟩ := hx
obtain ⟨Sy, hy⟩ := hy
exact ⟨Sx + Sy, by rw [Multiset.map_add, Multiset.sum_add, hx, hy]⟩
theorem exists_finsupp_left (x : M ⊗[R] N) :
∃ S : M →₀ N, x = S.sum fun m n ↦ m ⊗ₜ[R] n := by
induction x using TensorProduct.induction_on with
| zero => exact ⟨0, by simp⟩
| tmul x y => exact ⟨Finsupp.single x y, by simp⟩
| add x y hx hy =>
obtain ⟨Sx, hx⟩ := hx
obtain ⟨Sy, hy⟩ := hy
use Sx + Sy
rw [hx, hy]
exact (Finsupp.sum_add_index' (by simp) TensorProduct.tmul_add).symm
theorem exists_finsupp_right (x : M ⊗[R] N) :
∃ S : N →₀ M, x = S.sum fun n m ↦ m ⊗ₜ[R] n := by
obtain ⟨S, h⟩ := exists_finsupp_left (TensorProduct.comm R M N x)
refine ⟨S, (TensorProduct.comm R M N).injective ?_⟩
simp_rw [h, Finsupp.sum, map_sum, comm_tmul]
theorem exists_finset (x : M ⊗[R] N) :
∃ S : Finset (M × N), x = S.sum fun i ↦ i.1 ⊗ₜ[R] i.2 := by
obtain ⟨S, h⟩ := exists_finsupp_left x
use S.graph
rw [h, Finsupp.sum]
apply Finset.sum_nbij' (fun m ↦ ⟨m, S m⟩) Prod.fst <;> simp
theorem exists_finite_submodule_of_finite (s : Set (M ⊗[R] N)) (hs : s.Finite) :
∃ (M' : Submodule R M) (N' : Submodule R N), Module.Finite R M' ∧ Module.Finite R N' ∧
s ⊆ LinearMap.range (mapIncl M' N') := by
simp_rw [Module.Finite.iff_fg]
refine hs.induction_on ⟨_, _, fg_bot, fg_bot, Set.empty_subset _⟩ ?_
rintro a s - - ⟨M', N', hM', hN', h⟩
refine TensorProduct.induction_on a ?_ (fun x y ↦ ?_) fun x y hx hy ↦ ?_
· exact ⟨M', N', hM', hN', Set.insert_subset (zero_mem _) h⟩
· refine ⟨_, _, hM'.sup (fg_span_singleton x),
hN'.sup (fg_span_singleton y), Set.insert_subset ?_ fun z hz ↦ ?_⟩
· exact ⟨⟨x, mem_sup_right (mem_span_singleton_self x)⟩ ⊗ₜ
⟨y, mem_sup_right (mem_span_singleton_self y)⟩, rfl⟩
· exact range_mapIncl_mono le_sup_left le_sup_left (h hz)
· obtain ⟨M₁', N₁', hM₁', hN₁', h₁⟩ := hx
obtain ⟨M₂', N₂', hM₂', hN₂', h₂⟩ := hy
refine ⟨_, _, hM₁'.sup hM₂', hN₁'.sup hN₂', Set.insert_subset (add_mem ?_ ?_) fun z hz ↦ ?_⟩
· exact range_mapIncl_mono le_sup_left le_sup_left (h₁ (Set.mem_insert x s))
· exact range_mapIncl_mono le_sup_right le_sup_right (h₂ (Set.mem_insert y s))
· exact range_mapIncl_mono le_sup_left le_sup_left (h₁ (Set.subset_insert x s hz))
theorem exists_finite_submodule_left_of_finite (s : Set (M ⊗[R] N)) (hs : s.Finite) :
∃ M' : Submodule R M, Module.Finite R M' ∧ s ⊆ LinearMap.range (M'.subtype.rTensor N) := by
obtain ⟨M', _, hfin, _, h⟩ := exists_finite_submodule_of_finite s hs
refine ⟨M', hfin, ?_⟩
rw [mapIncl, ← LinearMap.rTensor_comp_lTensor] at h
exact h.trans (LinearMap.range_comp_le_range _ _)
| Mathlib/LinearAlgebra/TensorProduct/Finiteness.lean | 131 | 136 | theorem exists_finite_submodule_right_of_finite (s : Set (M ⊗[R] N)) (hs : s.Finite) :
∃ N' : Submodule R N, Module.Finite R N' ∧ s ⊆ LinearMap.range (N'.subtype.lTensor M) := by |
obtain ⟨_, N', _, hfin, h⟩ := exists_finite_submodule_of_finite s hs
refine ⟨N', hfin, ?_⟩
rw [mapIncl, ← LinearMap.lTensor_comp_rTensor] at h
exact h.trans (LinearMap.range_comp_le_range _ _)
| 4 | 54.59815 | 2 | 1.875 | 8 | 1,929 |
import Mathlib.LinearAlgebra.TensorProduct.Basic
import Mathlib.RingTheory.Finiteness
open scoped TensorProduct
open Submodule
variable {R M N : Type*}
variable [CommSemiring R] [AddCommMonoid M] [AddCommMonoid N] [Module R M] [Module R N]
variable {M₁ M₂ : Submodule R M} {N₁ N₂ : Submodule R N}
namespace TensorProduct
theorem exists_multiset (x : M ⊗[R] N) :
∃ S : Multiset (M × N), x = (S.map fun i ↦ i.1 ⊗ₜ[R] i.2).sum := by
induction x using TensorProduct.induction_on with
| zero => exact ⟨0, by simp⟩
| tmul x y => exact ⟨{(x, y)}, by simp⟩
| add x y hx hy =>
obtain ⟨Sx, hx⟩ := hx
obtain ⟨Sy, hy⟩ := hy
exact ⟨Sx + Sy, by rw [Multiset.map_add, Multiset.sum_add, hx, hy]⟩
theorem exists_finsupp_left (x : M ⊗[R] N) :
∃ S : M →₀ N, x = S.sum fun m n ↦ m ⊗ₜ[R] n := by
induction x using TensorProduct.induction_on with
| zero => exact ⟨0, by simp⟩
| tmul x y => exact ⟨Finsupp.single x y, by simp⟩
| add x y hx hy =>
obtain ⟨Sx, hx⟩ := hx
obtain ⟨Sy, hy⟩ := hy
use Sx + Sy
rw [hx, hy]
exact (Finsupp.sum_add_index' (by simp) TensorProduct.tmul_add).symm
theorem exists_finsupp_right (x : M ⊗[R] N) :
∃ S : N →₀ M, x = S.sum fun n m ↦ m ⊗ₜ[R] n := by
obtain ⟨S, h⟩ := exists_finsupp_left (TensorProduct.comm R M N x)
refine ⟨S, (TensorProduct.comm R M N).injective ?_⟩
simp_rw [h, Finsupp.sum, map_sum, comm_tmul]
theorem exists_finset (x : M ⊗[R] N) :
∃ S : Finset (M × N), x = S.sum fun i ↦ i.1 ⊗ₜ[R] i.2 := by
obtain ⟨S, h⟩ := exists_finsupp_left x
use S.graph
rw [h, Finsupp.sum]
apply Finset.sum_nbij' (fun m ↦ ⟨m, S m⟩) Prod.fst <;> simp
theorem exists_finite_submodule_of_finite (s : Set (M ⊗[R] N)) (hs : s.Finite) :
∃ (M' : Submodule R M) (N' : Submodule R N), Module.Finite R M' ∧ Module.Finite R N' ∧
s ⊆ LinearMap.range (mapIncl M' N') := by
simp_rw [Module.Finite.iff_fg]
refine hs.induction_on ⟨_, _, fg_bot, fg_bot, Set.empty_subset _⟩ ?_
rintro a s - - ⟨M', N', hM', hN', h⟩
refine TensorProduct.induction_on a ?_ (fun x y ↦ ?_) fun x y hx hy ↦ ?_
· exact ⟨M', N', hM', hN', Set.insert_subset (zero_mem _) h⟩
· refine ⟨_, _, hM'.sup (fg_span_singleton x),
hN'.sup (fg_span_singleton y), Set.insert_subset ?_ fun z hz ↦ ?_⟩
· exact ⟨⟨x, mem_sup_right (mem_span_singleton_self x)⟩ ⊗ₜ
⟨y, mem_sup_right (mem_span_singleton_self y)⟩, rfl⟩
· exact range_mapIncl_mono le_sup_left le_sup_left (h hz)
· obtain ⟨M₁', N₁', hM₁', hN₁', h₁⟩ := hx
obtain ⟨M₂', N₂', hM₂', hN₂', h₂⟩ := hy
refine ⟨_, _, hM₁'.sup hM₂', hN₁'.sup hN₂', Set.insert_subset (add_mem ?_ ?_) fun z hz ↦ ?_⟩
· exact range_mapIncl_mono le_sup_left le_sup_left (h₁ (Set.mem_insert x s))
· exact range_mapIncl_mono le_sup_right le_sup_right (h₂ (Set.mem_insert y s))
· exact range_mapIncl_mono le_sup_left le_sup_left (h₁ (Set.subset_insert x s hz))
theorem exists_finite_submodule_left_of_finite (s : Set (M ⊗[R] N)) (hs : s.Finite) :
∃ M' : Submodule R M, Module.Finite R M' ∧ s ⊆ LinearMap.range (M'.subtype.rTensor N) := by
obtain ⟨M', _, hfin, _, h⟩ := exists_finite_submodule_of_finite s hs
refine ⟨M', hfin, ?_⟩
rw [mapIncl, ← LinearMap.rTensor_comp_lTensor] at h
exact h.trans (LinearMap.range_comp_le_range _ _)
theorem exists_finite_submodule_right_of_finite (s : Set (M ⊗[R] N)) (hs : s.Finite) :
∃ N' : Submodule R N, Module.Finite R N' ∧ s ⊆ LinearMap.range (N'.subtype.lTensor M) := by
obtain ⟨_, N', _, hfin, h⟩ := exists_finite_submodule_of_finite s hs
refine ⟨N', hfin, ?_⟩
rw [mapIncl, ← LinearMap.lTensor_comp_rTensor] at h
exact h.trans (LinearMap.range_comp_le_range _ _)
| Mathlib/LinearAlgebra/TensorProduct/Finiteness.lean | 140 | 152 | theorem exists_finite_submodule_of_finite' (s : Set (M₁ ⊗[R] N₁)) (hs : s.Finite) :
∃ (M' : Submodule R M) (N' : Submodule R N) (hM : M' ≤ M₁) (hN : N' ≤ N₁),
Module.Finite R M' ∧ Module.Finite R N' ∧
s ⊆ LinearMap.range (TensorProduct.map (inclusion hM) (inclusion hN)) := by |
obtain ⟨M', N', _, _, h⟩ := exists_finite_submodule_of_finite s hs
have hM := map_subtype_le M₁ M'
have hN := map_subtype_le N₁ N'
refine ⟨_, _, hM, hN, .map _ _, .map _ _, ?_⟩
rw [mapIncl,
show M'.subtype = inclusion hM ∘ₗ M₁.subtype.submoduleMap M' by ext; simp,
show N'.subtype = inclusion hN ∘ₗ N₁.subtype.submoduleMap N' by ext; simp,
map_comp] at h
exact h.trans (LinearMap.range_comp_le_range _ _)
| 9 | 8,103.083928 | 2 | 1.875 | 8 | 1,929 |
import Mathlib.Algebra.CharP.LocalRing
import Mathlib.RingTheory.Ideal.Quotient
import Mathlib.Tactic.FieldSimp
#align_import algebra.char_p.mixed_char_zero from "leanprover-community/mathlib"@"70fd9563a21e7b963887c9360bd29b2393e6225a"
variable (R : Type*) [CommRing R]
class MixedCharZero (p : ℕ) : Prop where
[toCharZero : CharZero R]
charP_quotient : ∃ I : Ideal R, I ≠ ⊤ ∧ CharP (R ⧸ I) p
#align mixed_char_zero MixedCharZero
namespace MixedCharZero
| Mathlib/Algebra/CharP/MixedCharZero.lean | 85 | 105 | theorem reduce_to_p_prime {P : Prop} :
(∀ p > 0, MixedCharZero R p → P) ↔ ∀ p : ℕ, p.Prime → MixedCharZero R p → P := by |
constructor
· intro h q q_prime q_mixedChar
exact h q (Nat.Prime.pos q_prime) q_mixedChar
· intro h q q_pos q_mixedChar
rcases q_mixedChar.charP_quotient with ⟨I, hI_ne_top, _⟩
-- Krull's Thm: There exists a prime ideal `P` such that `I ≤ P`
rcases Ideal.exists_le_maximal I hI_ne_top with ⟨M, hM_max, h_IM⟩
let r := ringChar (R ⧸ M)
have r_pos : r ≠ 0 := by
have q_zero :=
congr_arg (Ideal.Quotient.factor I M h_IM) (CharP.cast_eq_zero (R ⧸ I) q)
simp only [map_natCast, map_zero] at q_zero
apply ne_zero_of_dvd_ne_zero (ne_of_gt q_pos)
exact (CharP.cast_eq_zero_iff (R ⧸ M) r q).mp q_zero
have r_prime : Nat.Prime r :=
or_iff_not_imp_right.1 (CharP.char_is_prime_or_zero (R ⧸ M) r) r_pos
apply h r r_prime
have : CharZero R := q_mixedChar.toCharZero
exact ⟨⟨M, hM_max.ne_top, ringChar.of_eq rfl⟩⟩
| 19 | 178,482,300.963187 | 2 | 1.875 | 8 | 1,930 |
import Mathlib.Algebra.CharP.LocalRing
import Mathlib.RingTheory.Ideal.Quotient
import Mathlib.Tactic.FieldSimp
#align_import algebra.char_p.mixed_char_zero from "leanprover-community/mathlib"@"70fd9563a21e7b963887c9360bd29b2393e6225a"
variable (R : Type*) [CommRing R]
class MixedCharZero (p : ℕ) : Prop where
[toCharZero : CharZero R]
charP_quotient : ∃ I : Ideal R, I ≠ ⊤ ∧ CharP (R ⧸ I) p
#align mixed_char_zero MixedCharZero
namespace MixedCharZero
theorem reduce_to_p_prime {P : Prop} :
(∀ p > 0, MixedCharZero R p → P) ↔ ∀ p : ℕ, p.Prime → MixedCharZero R p → P := by
constructor
· intro h q q_prime q_mixedChar
exact h q (Nat.Prime.pos q_prime) q_mixedChar
· intro h q q_pos q_mixedChar
rcases q_mixedChar.charP_quotient with ⟨I, hI_ne_top, _⟩
-- Krull's Thm: There exists a prime ideal `P` such that `I ≤ P`
rcases Ideal.exists_le_maximal I hI_ne_top with ⟨M, hM_max, h_IM⟩
let r := ringChar (R ⧸ M)
have r_pos : r ≠ 0 := by
have q_zero :=
congr_arg (Ideal.Quotient.factor I M h_IM) (CharP.cast_eq_zero (R ⧸ I) q)
simp only [map_natCast, map_zero] at q_zero
apply ne_zero_of_dvd_ne_zero (ne_of_gt q_pos)
exact (CharP.cast_eq_zero_iff (R ⧸ M) r q).mp q_zero
have r_prime : Nat.Prime r :=
or_iff_not_imp_right.1 (CharP.char_is_prime_or_zero (R ⧸ M) r) r_pos
apply h r r_prime
have : CharZero R := q_mixedChar.toCharZero
exact ⟨⟨M, hM_max.ne_top, ringChar.of_eq rfl⟩⟩
#align mixed_char_zero.reduce_to_p_prime MixedCharZero.reduce_to_p_prime
| Mathlib/Algebra/CharP/MixedCharZero.lean | 112 | 136 | theorem reduce_to_maximal_ideal {p : ℕ} (hp : Nat.Prime p) :
(∃ I : Ideal R, I ≠ ⊤ ∧ CharP (R ⧸ I) p) ↔ ∃ I : Ideal R, I.IsMaximal ∧ CharP (R ⧸ I) p := by |
constructor
· intro g
rcases g with ⟨I, ⟨hI_not_top, _⟩⟩
-- Krull's Thm: There exists a prime ideal `M` such that `I ≤ M`.
rcases Ideal.exists_le_maximal I hI_not_top with ⟨M, ⟨hM_max, hM_ge⟩⟩
use M
constructor
· exact hM_max
· cases CharP.exists (R ⧸ M) with
| intro r hr =>
-- Porting note: This is odd. Added `have hr := hr`.
-- Without this it seems that lean does not find `hr` as an instance.
have hr := hr
convert hr
have r_dvd_p : r ∣ p := by
rw [← CharP.cast_eq_zero_iff (R ⧸ M) r p]
convert congr_arg (Ideal.Quotient.factor I M hM_ge) (CharP.cast_eq_zero (R ⧸ I) p)
symm
apply (Nat.Prime.eq_one_or_self_of_dvd hp r r_dvd_p).resolve_left
exact CharP.char_ne_one (R ⧸ M) r
· intro ⟨I, hI_max, h_charP⟩
use I
exact ⟨Ideal.IsMaximal.ne_top hI_max, h_charP⟩
| 23 | 9,744,803,446.248903 | 2 | 1.875 | 8 | 1,930 |
import Mathlib.Algebra.CharP.LocalRing
import Mathlib.RingTheory.Ideal.Quotient
import Mathlib.Tactic.FieldSimp
#align_import algebra.char_p.mixed_char_zero from "leanprover-community/mathlib"@"70fd9563a21e7b963887c9360bd29b2393e6225a"
variable (R : Type*) [CommRing R]
class MixedCharZero (p : ℕ) : Prop where
[toCharZero : CharZero R]
charP_quotient : ∃ I : Ideal R, I ≠ ⊤ ∧ CharP (R ⧸ I) p
#align mixed_char_zero MixedCharZero
namespace EqualCharZero
| Mathlib/Algebra/CharP/MixedCharZero.lean | 161 | 169 | theorem of_algebraRat [Algebra ℚ R] : ∀ I : Ideal R, I ≠ ⊤ → CharZero (R ⧸ I) := by |
intro I hI
constructor
intro a b h_ab
contrapose! hI
-- `↑a - ↑b` is a unit contained in `I`, which contradicts `I ≠ ⊤`.
refine I.eq_top_of_isUnit_mem ?_ (IsUnit.map (algebraMap ℚ R) (IsUnit.mk0 (a - b : ℚ) ?_))
· simpa only [← Ideal.Quotient.eq_zero_iff_mem, map_sub, sub_eq_zero, map_natCast]
simpa only [Ne, sub_eq_zero] using (@Nat.cast_injective ℚ _ _).ne hI
| 8 | 2,980.957987 | 2 | 1.875 | 8 | 1,930 |
import Mathlib.Algebra.CharP.LocalRing
import Mathlib.RingTheory.Ideal.Quotient
import Mathlib.Tactic.FieldSimp
#align_import algebra.char_p.mixed_char_zero from "leanprover-community/mathlib"@"70fd9563a21e7b963887c9360bd29b2393e6225a"
variable (R : Type*) [CommRing R]
class MixedCharZero (p : ℕ) : Prop where
[toCharZero : CharZero R]
charP_quotient : ∃ I : Ideal R, I ≠ ⊤ ∧ CharP (R ⧸ I) p
#align mixed_char_zero MixedCharZero
namespace EqualCharZero
theorem of_algebraRat [Algebra ℚ R] : ∀ I : Ideal R, I ≠ ⊤ → CharZero (R ⧸ I) := by
intro I hI
constructor
intro a b h_ab
contrapose! hI
-- `↑a - ↑b` is a unit contained in `I`, which contradicts `I ≠ ⊤`.
refine I.eq_top_of_isUnit_mem ?_ (IsUnit.map (algebraMap ℚ R) (IsUnit.mk0 (a - b : ℚ) ?_))
· simpa only [← Ideal.Quotient.eq_zero_iff_mem, map_sub, sub_eq_zero, map_natCast]
simpa only [Ne, sub_eq_zero] using (@Nat.cast_injective ℚ _ _).ne hI
set_option linter.uppercaseLean3 false in
#align Q_algebra_to_equal_char_zero EqualCharZero.of_algebraRat
section ConstructionAlgebraRat
variable {R}
| Mathlib/Algebra/CharP/MixedCharZero.lean | 178 | 189 | theorem PNat.isUnit_natCast [h : Fact (∀ I : Ideal R, I ≠ ⊤ → CharZero (R ⧸ I))]
(n : ℕ+) : IsUnit (n : R) := by |
-- `n : R` is a unit iff `(n)` is not a proper ideal in `R`.
rw [← Ideal.span_singleton_eq_top]
-- So by contrapositive, we should show the quotient does not have characteristic zero.
apply not_imp_comm.mp (h.elim (Ideal.span {↑n}))
intro h_char_zero
-- In particular, the image of `n` in the quotient should be nonzero.
apply h_char_zero.cast_injective.ne n.ne_zero
-- But `n` generates the ideal, so its image is clearly zero.
rw [← map_natCast (Ideal.Quotient.mk _), Nat.cast_zero, Ideal.Quotient.eq_zero_iff_mem]
exact Ideal.subset_span (Set.mem_singleton _)
| 10 | 22,026.465795 | 2 | 1.875 | 8 | 1,930 |
import Mathlib.Algebra.CharP.LocalRing
import Mathlib.RingTheory.Ideal.Quotient
import Mathlib.Tactic.FieldSimp
#align_import algebra.char_p.mixed_char_zero from "leanprover-community/mathlib"@"70fd9563a21e7b963887c9360bd29b2393e6225a"
variable (R : Type*) [CommRing R]
class MixedCharZero (p : ℕ) : Prop where
[toCharZero : CharZero R]
charP_quotient : ∃ I : Ideal R, I ≠ ⊤ ∧ CharP (R ⧸ I) p
#align mixed_char_zero MixedCharZero
namespace EqualCharZero
theorem of_algebraRat [Algebra ℚ R] : ∀ I : Ideal R, I ≠ ⊤ → CharZero (R ⧸ I) := by
intro I hI
constructor
intro a b h_ab
contrapose! hI
-- `↑a - ↑b` is a unit contained in `I`, which contradicts `I ≠ ⊤`.
refine I.eq_top_of_isUnit_mem ?_ (IsUnit.map (algebraMap ℚ R) (IsUnit.mk0 (a - b : ℚ) ?_))
· simpa only [← Ideal.Quotient.eq_zero_iff_mem, map_sub, sub_eq_zero, map_natCast]
simpa only [Ne, sub_eq_zero] using (@Nat.cast_injective ℚ _ _).ne hI
set_option linter.uppercaseLean3 false in
#align Q_algebra_to_equal_char_zero EqualCharZero.of_algebraRat
section ConstructionAlgebraRat
variable {R}
theorem PNat.isUnit_natCast [h : Fact (∀ I : Ideal R, I ≠ ⊤ → CharZero (R ⧸ I))]
(n : ℕ+) : IsUnit (n : R) := by
-- `n : R` is a unit iff `(n)` is not a proper ideal in `R`.
rw [← Ideal.span_singleton_eq_top]
-- So by contrapositive, we should show the quotient does not have characteristic zero.
apply not_imp_comm.mp (h.elim (Ideal.span {↑n}))
intro h_char_zero
-- In particular, the image of `n` in the quotient should be nonzero.
apply h_char_zero.cast_injective.ne n.ne_zero
-- But `n` generates the ideal, so its image is clearly zero.
rw [← map_natCast (Ideal.Quotient.mk _), Nat.cast_zero, Ideal.Quotient.eq_zero_iff_mem]
exact Ideal.subset_span (Set.mem_singleton _)
#align equal_char_zero.pnat_coe_is_unit EqualCharZero.PNat.isUnit_natCast
@[coe]
noncomputable def pnatCast [Fact (∀ I : Ideal R, I ≠ ⊤ → CharZero (R ⧸ I))] : ℕ+ → Rˣ :=
fun n => (PNat.isUnit_natCast n).unit
noncomputable instance coePNatUnits
[Fact (∀ I : Ideal R, I ≠ ⊤ → CharZero (R ⧸ I))] : Coe ℕ+ Rˣ :=
⟨EqualCharZero.pnatCast⟩
#align equal_char_zero.pnat_has_coe_units EqualCharZero.coePNatUnits
@[simp]
| Mathlib/Algebra/CharP/MixedCharZero.lean | 204 | 209 | theorem pnatCast_one [Fact (∀ I : Ideal R, I ≠ ⊤ → CharZero (R ⧸ I))] : ((1 : ℕ+) : Rˣ) = 1 := by |
apply Units.ext
rw [Units.val_one]
change ((PNat.isUnit_natCast (R := R) 1).unit : R) = 1
rw [IsUnit.unit_spec (PNat.isUnit_natCast 1)]
rw [PNat.one_coe, Nat.cast_one]
| 5 | 148.413159 | 2 | 1.875 | 8 | 1,930 |
import Mathlib.Algebra.CharP.LocalRing
import Mathlib.RingTheory.Ideal.Quotient
import Mathlib.Tactic.FieldSimp
#align_import algebra.char_p.mixed_char_zero from "leanprover-community/mathlib"@"70fd9563a21e7b963887c9360bd29b2393e6225a"
variable (R : Type*) [CommRing R]
class MixedCharZero (p : ℕ) : Prop where
[toCharZero : CharZero R]
charP_quotient : ∃ I : Ideal R, I ≠ ⊤ ∧ CharP (R ⧸ I) p
#align mixed_char_zero MixedCharZero
namespace EqualCharZero
theorem of_algebraRat [Algebra ℚ R] : ∀ I : Ideal R, I ≠ ⊤ → CharZero (R ⧸ I) := by
intro I hI
constructor
intro a b h_ab
contrapose! hI
-- `↑a - ↑b` is a unit contained in `I`, which contradicts `I ≠ ⊤`.
refine I.eq_top_of_isUnit_mem ?_ (IsUnit.map (algebraMap ℚ R) (IsUnit.mk0 (a - b : ℚ) ?_))
· simpa only [← Ideal.Quotient.eq_zero_iff_mem, map_sub, sub_eq_zero, map_natCast]
simpa only [Ne, sub_eq_zero] using (@Nat.cast_injective ℚ _ _).ne hI
set_option linter.uppercaseLean3 false in
#align Q_algebra_to_equal_char_zero EqualCharZero.of_algebraRat
section ConstructionAlgebraRat
variable {R}
theorem PNat.isUnit_natCast [h : Fact (∀ I : Ideal R, I ≠ ⊤ → CharZero (R ⧸ I))]
(n : ℕ+) : IsUnit (n : R) := by
-- `n : R` is a unit iff `(n)` is not a proper ideal in `R`.
rw [← Ideal.span_singleton_eq_top]
-- So by contrapositive, we should show the quotient does not have characteristic zero.
apply not_imp_comm.mp (h.elim (Ideal.span {↑n}))
intro h_char_zero
-- In particular, the image of `n` in the quotient should be nonzero.
apply h_char_zero.cast_injective.ne n.ne_zero
-- But `n` generates the ideal, so its image is clearly zero.
rw [← map_natCast (Ideal.Quotient.mk _), Nat.cast_zero, Ideal.Quotient.eq_zero_iff_mem]
exact Ideal.subset_span (Set.mem_singleton _)
#align equal_char_zero.pnat_coe_is_unit EqualCharZero.PNat.isUnit_natCast
@[coe]
noncomputable def pnatCast [Fact (∀ I : Ideal R, I ≠ ⊤ → CharZero (R ⧸ I))] : ℕ+ → Rˣ :=
fun n => (PNat.isUnit_natCast n).unit
noncomputable instance coePNatUnits
[Fact (∀ I : Ideal R, I ≠ ⊤ → CharZero (R ⧸ I))] : Coe ℕ+ Rˣ :=
⟨EqualCharZero.pnatCast⟩
#align equal_char_zero.pnat_has_coe_units EqualCharZero.coePNatUnits
@[simp]
theorem pnatCast_one [Fact (∀ I : Ideal R, I ≠ ⊤ → CharZero (R ⧸ I))] : ((1 : ℕ+) : Rˣ) = 1 := by
apply Units.ext
rw [Units.val_one]
change ((PNat.isUnit_natCast (R := R) 1).unit : R) = 1
rw [IsUnit.unit_spec (PNat.isUnit_natCast 1)]
rw [PNat.one_coe, Nat.cast_one]
#align equal_char_zero.pnat_coe_units_eq_one EqualCharZero.pnatCast_one
@[simp]
| Mathlib/Algebra/CharP/MixedCharZero.lean | 214 | 217 | theorem pnatCast_eq_natCast [Fact (∀ I : Ideal R, I ≠ ⊤ → CharZero (R ⧸ I))] (n : ℕ+) :
((n : Rˣ) : R) = ↑n := by |
change ((PNat.isUnit_natCast (R := R) n).unit : R) = ↑n
simp only [IsUnit.unit_spec]
| 2 | 7.389056 | 1 | 1.875 | 8 | 1,930 |
import Mathlib.Algebra.CharP.LocalRing
import Mathlib.RingTheory.Ideal.Quotient
import Mathlib.Tactic.FieldSimp
#align_import algebra.char_p.mixed_char_zero from "leanprover-community/mathlib"@"70fd9563a21e7b963887c9360bd29b2393e6225a"
variable (R : Type*) [CommRing R]
class MixedCharZero (p : ℕ) : Prop where
[toCharZero : CharZero R]
charP_quotient : ∃ I : Ideal R, I ≠ ⊤ ∧ CharP (R ⧸ I) p
#align mixed_char_zero MixedCharZero
namespace EqualCharZero
theorem of_algebraRat [Algebra ℚ R] : ∀ I : Ideal R, I ≠ ⊤ → CharZero (R ⧸ I) := by
intro I hI
constructor
intro a b h_ab
contrapose! hI
-- `↑a - ↑b` is a unit contained in `I`, which contradicts `I ≠ ⊤`.
refine I.eq_top_of_isUnit_mem ?_ (IsUnit.map (algebraMap ℚ R) (IsUnit.mk0 (a - b : ℚ) ?_))
· simpa only [← Ideal.Quotient.eq_zero_iff_mem, map_sub, sub_eq_zero, map_natCast]
simpa only [Ne, sub_eq_zero] using (@Nat.cast_injective ℚ _ _).ne hI
set_option linter.uppercaseLean3 false in
#align Q_algebra_to_equal_char_zero EqualCharZero.of_algebraRat
| Mathlib/Algebra/CharP/MixedCharZero.lean | 250 | 260 | theorem of_not_mixedCharZero [CharZero R] (h : ∀ p > 0, ¬MixedCharZero R p) :
∀ I : Ideal R, I ≠ ⊤ → CharZero (R ⧸ I) := by |
intro I hI_ne_top
suffices CharP (R ⧸ I) 0 from CharP.charP_to_charZero _
cases CharP.exists (R ⧸ I) with
| intro p hp =>
cases p with
| zero => exact hp
| succ p =>
have h_mixed : MixedCharZero R p.succ := ⟨⟨I, ⟨hI_ne_top, hp⟩⟩⟩
exact absurd h_mixed (h p.succ p.succ_pos)
| 9 | 8,103.083928 | 2 | 1.875 | 8 | 1,930 |
import Mathlib.Algebra.CharP.LocalRing
import Mathlib.RingTheory.Ideal.Quotient
import Mathlib.Tactic.FieldSimp
#align_import algebra.char_p.mixed_char_zero from "leanprover-community/mathlib"@"70fd9563a21e7b963887c9360bd29b2393e6225a"
variable (R : Type*) [CommRing R]
class MixedCharZero (p : ℕ) : Prop where
[toCharZero : CharZero R]
charP_quotient : ∃ I : Ideal R, I ≠ ⊤ ∧ CharP (R ⧸ I) p
#align mixed_char_zero MixedCharZero
namespace EqualCharZero
theorem of_algebraRat [Algebra ℚ R] : ∀ I : Ideal R, I ≠ ⊤ → CharZero (R ⧸ I) := by
intro I hI
constructor
intro a b h_ab
contrapose! hI
-- `↑a - ↑b` is a unit contained in `I`, which contradicts `I ≠ ⊤`.
refine I.eq_top_of_isUnit_mem ?_ (IsUnit.map (algebraMap ℚ R) (IsUnit.mk0 (a - b : ℚ) ?_))
· simpa only [← Ideal.Quotient.eq_zero_iff_mem, map_sub, sub_eq_zero, map_natCast]
simpa only [Ne, sub_eq_zero] using (@Nat.cast_injective ℚ _ _).ne hI
set_option linter.uppercaseLean3 false in
#align Q_algebra_to_equal_char_zero EqualCharZero.of_algebraRat
theorem of_not_mixedCharZero [CharZero R] (h : ∀ p > 0, ¬MixedCharZero R p) :
∀ I : Ideal R, I ≠ ⊤ → CharZero (R ⧸ I) := by
intro I hI_ne_top
suffices CharP (R ⧸ I) 0 from CharP.charP_to_charZero _
cases CharP.exists (R ⧸ I) with
| intro p hp =>
cases p with
| zero => exact hp
| succ p =>
have h_mixed : MixedCharZero R p.succ := ⟨⟨I, ⟨hI_ne_top, hp⟩⟩⟩
exact absurd h_mixed (h p.succ p.succ_pos)
#align not_mixed_char_to_equal_char_zero EqualCharZero.of_not_mixedCharZero
| Mathlib/Algebra/CharP/MixedCharZero.lean | 264 | 270 | theorem to_not_mixedCharZero (h : ∀ I : Ideal R, I ≠ ⊤ → CharZero (R ⧸ I)) :
∀ p > 0, ¬MixedCharZero R p := by |
intro p p_pos
by_contra hp_mixedChar
rcases hp_mixedChar.charP_quotient with ⟨I, hI_ne_top, hI_p⟩
replace hI_zero : CharP (R ⧸ I) 0 := @CharP.ofCharZero _ _ (h I hI_ne_top)
exact absurd (CharP.eq (R ⧸ I) hI_p hI_zero) (ne_of_gt p_pos)
| 5 | 148.413159 | 2 | 1.875 | 8 | 1,930 |
import Mathlib.Algebra.Algebra.Subalgebra.Unitization
import Mathlib.Analysis.RCLike.Basic
import Mathlib.Topology.Algebra.StarSubalgebra
import Mathlib.Topology.ContinuousFunction.ContinuousMapZero
import Mathlib.Topology.ContinuousFunction.Weierstrass
#align_import topology.continuous_function.stone_weierstrass from "leanprover-community/mathlib"@"16e59248c0ebafabd5d071b1cd41743eb8698ffb"
noncomputable section
namespace ContinuousMap
variable {X : Type*} [TopologicalSpace X] [CompactSpace X]
open scoped Polynomial
def attachBound (f : C(X, ℝ)) : C(X, Set.Icc (-‖f‖) ‖f‖) where
toFun x := ⟨f x, ⟨neg_norm_le_apply f x, apply_le_norm f x⟩⟩
#align continuous_map.attach_bound ContinuousMap.attachBound
@[simp]
theorem attachBound_apply_coe (f : C(X, ℝ)) (x : X) : ((attachBound f) x : ℝ) = f x :=
rfl
#align continuous_map.attach_bound_apply_coe ContinuousMap.attachBound_apply_coe
| Mathlib/Topology/ContinuousFunction/StoneWeierstrass.lean | 69 | 77 | theorem polynomial_comp_attachBound (A : Subalgebra ℝ C(X, ℝ)) (f : A) (g : ℝ[X]) :
(g.toContinuousMapOn (Set.Icc (-‖f‖) ‖f‖)).comp (f : C(X, ℝ)).attachBound =
Polynomial.aeval f g := by |
ext
simp only [ContinuousMap.coe_comp, Function.comp_apply, ContinuousMap.attachBound_apply_coe,
Polynomial.toContinuousMapOn_apply, Polynomial.aeval_subalgebra_coe,
Polynomial.aeval_continuousMap_apply, Polynomial.toContinuousMap_apply]
-- This used to be `rw`, but we need `erw` after leanprover/lean4#2644
erw [ContinuousMap.attachBound_apply_coe]
| 6 | 403.428793 | 2 | 1.888889 | 9 | 1,931 |
import Mathlib.Algebra.Algebra.Subalgebra.Unitization
import Mathlib.Analysis.RCLike.Basic
import Mathlib.Topology.Algebra.StarSubalgebra
import Mathlib.Topology.ContinuousFunction.ContinuousMapZero
import Mathlib.Topology.ContinuousFunction.Weierstrass
#align_import topology.continuous_function.stone_weierstrass from "leanprover-community/mathlib"@"16e59248c0ebafabd5d071b1cd41743eb8698ffb"
noncomputable section
namespace ContinuousMap
variable {X : Type*} [TopologicalSpace X] [CompactSpace X]
open scoped Polynomial
def attachBound (f : C(X, ℝ)) : C(X, Set.Icc (-‖f‖) ‖f‖) where
toFun x := ⟨f x, ⟨neg_norm_le_apply f x, apply_le_norm f x⟩⟩
#align continuous_map.attach_bound ContinuousMap.attachBound
@[simp]
theorem attachBound_apply_coe (f : C(X, ℝ)) (x : X) : ((attachBound f) x : ℝ) = f x :=
rfl
#align continuous_map.attach_bound_apply_coe ContinuousMap.attachBound_apply_coe
theorem polynomial_comp_attachBound (A : Subalgebra ℝ C(X, ℝ)) (f : A) (g : ℝ[X]) :
(g.toContinuousMapOn (Set.Icc (-‖f‖) ‖f‖)).comp (f : C(X, ℝ)).attachBound =
Polynomial.aeval f g := by
ext
simp only [ContinuousMap.coe_comp, Function.comp_apply, ContinuousMap.attachBound_apply_coe,
Polynomial.toContinuousMapOn_apply, Polynomial.aeval_subalgebra_coe,
Polynomial.aeval_continuousMap_apply, Polynomial.toContinuousMap_apply]
-- This used to be `rw`, but we need `erw` after leanprover/lean4#2644
erw [ContinuousMap.attachBound_apply_coe]
#align continuous_map.polynomial_comp_attach_bound ContinuousMap.polynomial_comp_attachBound
| Mathlib/Topology/ContinuousFunction/StoneWeierstrass.lean | 88 | 91 | theorem polynomial_comp_attachBound_mem (A : Subalgebra ℝ C(X, ℝ)) (f : A) (g : ℝ[X]) :
(g.toContinuousMapOn (Set.Icc (-‖f‖) ‖f‖)).comp (f : C(X, ℝ)).attachBound ∈ A := by |
rw [polynomial_comp_attachBound]
apply SetLike.coe_mem
| 2 | 7.389056 | 1 | 1.888889 | 9 | 1,931 |
import Mathlib.Algebra.Algebra.Subalgebra.Unitization
import Mathlib.Analysis.RCLike.Basic
import Mathlib.Topology.Algebra.StarSubalgebra
import Mathlib.Topology.ContinuousFunction.ContinuousMapZero
import Mathlib.Topology.ContinuousFunction.Weierstrass
#align_import topology.continuous_function.stone_weierstrass from "leanprover-community/mathlib"@"16e59248c0ebafabd5d071b1cd41743eb8698ffb"
noncomputable section
namespace ContinuousMap
variable {X : Type*} [TopologicalSpace X] [CompactSpace X]
open scoped Polynomial
def attachBound (f : C(X, ℝ)) : C(X, Set.Icc (-‖f‖) ‖f‖) where
toFun x := ⟨f x, ⟨neg_norm_le_apply f x, apply_le_norm f x⟩⟩
#align continuous_map.attach_bound ContinuousMap.attachBound
@[simp]
theorem attachBound_apply_coe (f : C(X, ℝ)) (x : X) : ((attachBound f) x : ℝ) = f x :=
rfl
#align continuous_map.attach_bound_apply_coe ContinuousMap.attachBound_apply_coe
theorem polynomial_comp_attachBound (A : Subalgebra ℝ C(X, ℝ)) (f : A) (g : ℝ[X]) :
(g.toContinuousMapOn (Set.Icc (-‖f‖) ‖f‖)).comp (f : C(X, ℝ)).attachBound =
Polynomial.aeval f g := by
ext
simp only [ContinuousMap.coe_comp, Function.comp_apply, ContinuousMap.attachBound_apply_coe,
Polynomial.toContinuousMapOn_apply, Polynomial.aeval_subalgebra_coe,
Polynomial.aeval_continuousMap_apply, Polynomial.toContinuousMap_apply]
-- This used to be `rw`, but we need `erw` after leanprover/lean4#2644
erw [ContinuousMap.attachBound_apply_coe]
#align continuous_map.polynomial_comp_attach_bound ContinuousMap.polynomial_comp_attachBound
theorem polynomial_comp_attachBound_mem (A : Subalgebra ℝ C(X, ℝ)) (f : A) (g : ℝ[X]) :
(g.toContinuousMapOn (Set.Icc (-‖f‖) ‖f‖)).comp (f : C(X, ℝ)).attachBound ∈ A := by
rw [polynomial_comp_attachBound]
apply SetLike.coe_mem
#align continuous_map.polynomial_comp_attach_bound_mem ContinuousMap.polynomial_comp_attachBound_mem
| Mathlib/Topology/ContinuousFunction/StoneWeierstrass.lean | 94 | 113 | theorem comp_attachBound_mem_closure (A : Subalgebra ℝ C(X, ℝ)) (f : A)
(p : C(Set.Icc (-‖f‖) ‖f‖, ℝ)) : p.comp (attachBound (f : C(X, ℝ))) ∈ A.topologicalClosure := by |
-- `p` itself is in the closure of polynomials, by the Weierstrass theorem,
have mem_closure : p ∈ (polynomialFunctions (Set.Icc (-‖f‖) ‖f‖)).topologicalClosure :=
continuousMap_mem_polynomialFunctions_closure _ _ p
-- and so there are polynomials arbitrarily close.
have frequently_mem_polynomials := mem_closure_iff_frequently.mp mem_closure
-- To prove `p.comp (attachBound f)` is in the closure of `A`,
-- we show there are elements of `A` arbitrarily close.
apply mem_closure_iff_frequently.mpr
-- To show that, we pull back the polynomials close to `p`,
refine
((compRightContinuousMap ℝ (attachBound (f : C(X, ℝ)))).continuousAt
p).tendsto.frequently_map
_ ?_ frequently_mem_polynomials
-- but need to show that those pullbacks are actually in `A`.
rintro _ ⟨g, ⟨-, rfl⟩⟩
simp only [SetLike.mem_coe, AlgHom.coe_toRingHom, compRightContinuousMap_apply,
Polynomial.toContinuousMapOnAlgHom_apply]
apply polynomial_comp_attachBound_mem
| 18 | 65,659,969.137331 | 2 | 1.888889 | 9 | 1,931 |
import Mathlib.Algebra.Algebra.Subalgebra.Unitization
import Mathlib.Analysis.RCLike.Basic
import Mathlib.Topology.Algebra.StarSubalgebra
import Mathlib.Topology.ContinuousFunction.ContinuousMapZero
import Mathlib.Topology.ContinuousFunction.Weierstrass
#align_import topology.continuous_function.stone_weierstrass from "leanprover-community/mathlib"@"16e59248c0ebafabd5d071b1cd41743eb8698ffb"
noncomputable section
namespace ContinuousMap
variable {X : Type*} [TopologicalSpace X] [CompactSpace X]
open scoped Polynomial
def attachBound (f : C(X, ℝ)) : C(X, Set.Icc (-‖f‖) ‖f‖) where
toFun x := ⟨f x, ⟨neg_norm_le_apply f x, apply_le_norm f x⟩⟩
#align continuous_map.attach_bound ContinuousMap.attachBound
@[simp]
theorem attachBound_apply_coe (f : C(X, ℝ)) (x : X) : ((attachBound f) x : ℝ) = f x :=
rfl
#align continuous_map.attach_bound_apply_coe ContinuousMap.attachBound_apply_coe
theorem polynomial_comp_attachBound (A : Subalgebra ℝ C(X, ℝ)) (f : A) (g : ℝ[X]) :
(g.toContinuousMapOn (Set.Icc (-‖f‖) ‖f‖)).comp (f : C(X, ℝ)).attachBound =
Polynomial.aeval f g := by
ext
simp only [ContinuousMap.coe_comp, Function.comp_apply, ContinuousMap.attachBound_apply_coe,
Polynomial.toContinuousMapOn_apply, Polynomial.aeval_subalgebra_coe,
Polynomial.aeval_continuousMap_apply, Polynomial.toContinuousMap_apply]
-- This used to be `rw`, but we need `erw` after leanprover/lean4#2644
erw [ContinuousMap.attachBound_apply_coe]
#align continuous_map.polynomial_comp_attach_bound ContinuousMap.polynomial_comp_attachBound
theorem polynomial_comp_attachBound_mem (A : Subalgebra ℝ C(X, ℝ)) (f : A) (g : ℝ[X]) :
(g.toContinuousMapOn (Set.Icc (-‖f‖) ‖f‖)).comp (f : C(X, ℝ)).attachBound ∈ A := by
rw [polynomial_comp_attachBound]
apply SetLike.coe_mem
#align continuous_map.polynomial_comp_attach_bound_mem ContinuousMap.polynomial_comp_attachBound_mem
theorem comp_attachBound_mem_closure (A : Subalgebra ℝ C(X, ℝ)) (f : A)
(p : C(Set.Icc (-‖f‖) ‖f‖, ℝ)) : p.comp (attachBound (f : C(X, ℝ))) ∈ A.topologicalClosure := by
-- `p` itself is in the closure of polynomials, by the Weierstrass theorem,
have mem_closure : p ∈ (polynomialFunctions (Set.Icc (-‖f‖) ‖f‖)).topologicalClosure :=
continuousMap_mem_polynomialFunctions_closure _ _ p
-- and so there are polynomials arbitrarily close.
have frequently_mem_polynomials := mem_closure_iff_frequently.mp mem_closure
-- To prove `p.comp (attachBound f)` is in the closure of `A`,
-- we show there are elements of `A` arbitrarily close.
apply mem_closure_iff_frequently.mpr
-- To show that, we pull back the polynomials close to `p`,
refine
((compRightContinuousMap ℝ (attachBound (f : C(X, ℝ)))).continuousAt
p).tendsto.frequently_map
_ ?_ frequently_mem_polynomials
-- but need to show that those pullbacks are actually in `A`.
rintro _ ⟨g, ⟨-, rfl⟩⟩
simp only [SetLike.mem_coe, AlgHom.coe_toRingHom, compRightContinuousMap_apply,
Polynomial.toContinuousMapOnAlgHom_apply]
apply polynomial_comp_attachBound_mem
#align continuous_map.comp_attach_bound_mem_closure ContinuousMap.comp_attachBound_mem_closure
| Mathlib/Topology/ContinuousFunction/StoneWeierstrass.lean | 116 | 121 | theorem abs_mem_subalgebra_closure (A : Subalgebra ℝ C(X, ℝ)) (f : A) :
|(f : C(X, ℝ))| ∈ A.topologicalClosure := by |
let f' := attachBound (f : C(X, ℝ))
let abs : C(Set.Icc (-‖f‖) ‖f‖, ℝ) := { toFun := fun x : Set.Icc (-‖f‖) ‖f‖ => |(x : ℝ)| }
change abs.comp f' ∈ A.topologicalClosure
apply comp_attachBound_mem_closure
| 4 | 54.59815 | 2 | 1.888889 | 9 | 1,931 |
import Mathlib.Algebra.Algebra.Subalgebra.Unitization
import Mathlib.Analysis.RCLike.Basic
import Mathlib.Topology.Algebra.StarSubalgebra
import Mathlib.Topology.ContinuousFunction.ContinuousMapZero
import Mathlib.Topology.ContinuousFunction.Weierstrass
#align_import topology.continuous_function.stone_weierstrass from "leanprover-community/mathlib"@"16e59248c0ebafabd5d071b1cd41743eb8698ffb"
noncomputable section
namespace ContinuousMap
variable {X : Type*} [TopologicalSpace X] [CompactSpace X]
open scoped Polynomial
def attachBound (f : C(X, ℝ)) : C(X, Set.Icc (-‖f‖) ‖f‖) where
toFun x := ⟨f x, ⟨neg_norm_le_apply f x, apply_le_norm f x⟩⟩
#align continuous_map.attach_bound ContinuousMap.attachBound
@[simp]
theorem attachBound_apply_coe (f : C(X, ℝ)) (x : X) : ((attachBound f) x : ℝ) = f x :=
rfl
#align continuous_map.attach_bound_apply_coe ContinuousMap.attachBound_apply_coe
theorem polynomial_comp_attachBound (A : Subalgebra ℝ C(X, ℝ)) (f : A) (g : ℝ[X]) :
(g.toContinuousMapOn (Set.Icc (-‖f‖) ‖f‖)).comp (f : C(X, ℝ)).attachBound =
Polynomial.aeval f g := by
ext
simp only [ContinuousMap.coe_comp, Function.comp_apply, ContinuousMap.attachBound_apply_coe,
Polynomial.toContinuousMapOn_apply, Polynomial.aeval_subalgebra_coe,
Polynomial.aeval_continuousMap_apply, Polynomial.toContinuousMap_apply]
-- This used to be `rw`, but we need `erw` after leanprover/lean4#2644
erw [ContinuousMap.attachBound_apply_coe]
#align continuous_map.polynomial_comp_attach_bound ContinuousMap.polynomial_comp_attachBound
theorem polynomial_comp_attachBound_mem (A : Subalgebra ℝ C(X, ℝ)) (f : A) (g : ℝ[X]) :
(g.toContinuousMapOn (Set.Icc (-‖f‖) ‖f‖)).comp (f : C(X, ℝ)).attachBound ∈ A := by
rw [polynomial_comp_attachBound]
apply SetLike.coe_mem
#align continuous_map.polynomial_comp_attach_bound_mem ContinuousMap.polynomial_comp_attachBound_mem
theorem comp_attachBound_mem_closure (A : Subalgebra ℝ C(X, ℝ)) (f : A)
(p : C(Set.Icc (-‖f‖) ‖f‖, ℝ)) : p.comp (attachBound (f : C(X, ℝ))) ∈ A.topologicalClosure := by
-- `p` itself is in the closure of polynomials, by the Weierstrass theorem,
have mem_closure : p ∈ (polynomialFunctions (Set.Icc (-‖f‖) ‖f‖)).topologicalClosure :=
continuousMap_mem_polynomialFunctions_closure _ _ p
-- and so there are polynomials arbitrarily close.
have frequently_mem_polynomials := mem_closure_iff_frequently.mp mem_closure
-- To prove `p.comp (attachBound f)` is in the closure of `A`,
-- we show there are elements of `A` arbitrarily close.
apply mem_closure_iff_frequently.mpr
-- To show that, we pull back the polynomials close to `p`,
refine
((compRightContinuousMap ℝ (attachBound (f : C(X, ℝ)))).continuousAt
p).tendsto.frequently_map
_ ?_ frequently_mem_polynomials
-- but need to show that those pullbacks are actually in `A`.
rintro _ ⟨g, ⟨-, rfl⟩⟩
simp only [SetLike.mem_coe, AlgHom.coe_toRingHom, compRightContinuousMap_apply,
Polynomial.toContinuousMapOnAlgHom_apply]
apply polynomial_comp_attachBound_mem
#align continuous_map.comp_attach_bound_mem_closure ContinuousMap.comp_attachBound_mem_closure
theorem abs_mem_subalgebra_closure (A : Subalgebra ℝ C(X, ℝ)) (f : A) :
|(f : C(X, ℝ))| ∈ A.topologicalClosure := by
let f' := attachBound (f : C(X, ℝ))
let abs : C(Set.Icc (-‖f‖) ‖f‖, ℝ) := { toFun := fun x : Set.Icc (-‖f‖) ‖f‖ => |(x : ℝ)| }
change abs.comp f' ∈ A.topologicalClosure
apply comp_attachBound_mem_closure
#align continuous_map.abs_mem_subalgebra_closure ContinuousMap.abs_mem_subalgebra_closure
| Mathlib/Topology/ContinuousFunction/StoneWeierstrass.lean | 124 | 134 | theorem inf_mem_subalgebra_closure (A : Subalgebra ℝ C(X, ℝ)) (f g : A) :
(f : C(X, ℝ)) ⊓ (g : C(X, ℝ)) ∈ A.topologicalClosure := by |
rw [inf_eq_half_smul_add_sub_abs_sub' ℝ]
refine
A.topologicalClosure.smul_mem
(A.topologicalClosure.sub_mem
(A.topologicalClosure.add_mem (A.le_topologicalClosure f.property)
(A.le_topologicalClosure g.property))
?_)
_
exact mod_cast abs_mem_subalgebra_closure A _
| 9 | 8,103.083928 | 2 | 1.888889 | 9 | 1,931 |
import Mathlib.Algebra.Algebra.Subalgebra.Unitization
import Mathlib.Analysis.RCLike.Basic
import Mathlib.Topology.Algebra.StarSubalgebra
import Mathlib.Topology.ContinuousFunction.ContinuousMapZero
import Mathlib.Topology.ContinuousFunction.Weierstrass
#align_import topology.continuous_function.stone_weierstrass from "leanprover-community/mathlib"@"16e59248c0ebafabd5d071b1cd41743eb8698ffb"
noncomputable section
namespace ContinuousMap
variable {X : Type*} [TopologicalSpace X] [CompactSpace X]
open scoped Polynomial
def attachBound (f : C(X, ℝ)) : C(X, Set.Icc (-‖f‖) ‖f‖) where
toFun x := ⟨f x, ⟨neg_norm_le_apply f x, apply_le_norm f x⟩⟩
#align continuous_map.attach_bound ContinuousMap.attachBound
@[simp]
theorem attachBound_apply_coe (f : C(X, ℝ)) (x : X) : ((attachBound f) x : ℝ) = f x :=
rfl
#align continuous_map.attach_bound_apply_coe ContinuousMap.attachBound_apply_coe
theorem polynomial_comp_attachBound (A : Subalgebra ℝ C(X, ℝ)) (f : A) (g : ℝ[X]) :
(g.toContinuousMapOn (Set.Icc (-‖f‖) ‖f‖)).comp (f : C(X, ℝ)).attachBound =
Polynomial.aeval f g := by
ext
simp only [ContinuousMap.coe_comp, Function.comp_apply, ContinuousMap.attachBound_apply_coe,
Polynomial.toContinuousMapOn_apply, Polynomial.aeval_subalgebra_coe,
Polynomial.aeval_continuousMap_apply, Polynomial.toContinuousMap_apply]
-- This used to be `rw`, but we need `erw` after leanprover/lean4#2644
erw [ContinuousMap.attachBound_apply_coe]
#align continuous_map.polynomial_comp_attach_bound ContinuousMap.polynomial_comp_attachBound
theorem polynomial_comp_attachBound_mem (A : Subalgebra ℝ C(X, ℝ)) (f : A) (g : ℝ[X]) :
(g.toContinuousMapOn (Set.Icc (-‖f‖) ‖f‖)).comp (f : C(X, ℝ)).attachBound ∈ A := by
rw [polynomial_comp_attachBound]
apply SetLike.coe_mem
#align continuous_map.polynomial_comp_attach_bound_mem ContinuousMap.polynomial_comp_attachBound_mem
theorem comp_attachBound_mem_closure (A : Subalgebra ℝ C(X, ℝ)) (f : A)
(p : C(Set.Icc (-‖f‖) ‖f‖, ℝ)) : p.comp (attachBound (f : C(X, ℝ))) ∈ A.topologicalClosure := by
-- `p` itself is in the closure of polynomials, by the Weierstrass theorem,
have mem_closure : p ∈ (polynomialFunctions (Set.Icc (-‖f‖) ‖f‖)).topologicalClosure :=
continuousMap_mem_polynomialFunctions_closure _ _ p
-- and so there are polynomials arbitrarily close.
have frequently_mem_polynomials := mem_closure_iff_frequently.mp mem_closure
-- To prove `p.comp (attachBound f)` is in the closure of `A`,
-- we show there are elements of `A` arbitrarily close.
apply mem_closure_iff_frequently.mpr
-- To show that, we pull back the polynomials close to `p`,
refine
((compRightContinuousMap ℝ (attachBound (f : C(X, ℝ)))).continuousAt
p).tendsto.frequently_map
_ ?_ frequently_mem_polynomials
-- but need to show that those pullbacks are actually in `A`.
rintro _ ⟨g, ⟨-, rfl⟩⟩
simp only [SetLike.mem_coe, AlgHom.coe_toRingHom, compRightContinuousMap_apply,
Polynomial.toContinuousMapOnAlgHom_apply]
apply polynomial_comp_attachBound_mem
#align continuous_map.comp_attach_bound_mem_closure ContinuousMap.comp_attachBound_mem_closure
theorem abs_mem_subalgebra_closure (A : Subalgebra ℝ C(X, ℝ)) (f : A) :
|(f : C(X, ℝ))| ∈ A.topologicalClosure := by
let f' := attachBound (f : C(X, ℝ))
let abs : C(Set.Icc (-‖f‖) ‖f‖, ℝ) := { toFun := fun x : Set.Icc (-‖f‖) ‖f‖ => |(x : ℝ)| }
change abs.comp f' ∈ A.topologicalClosure
apply comp_attachBound_mem_closure
#align continuous_map.abs_mem_subalgebra_closure ContinuousMap.abs_mem_subalgebra_closure
theorem inf_mem_subalgebra_closure (A : Subalgebra ℝ C(X, ℝ)) (f g : A) :
(f : C(X, ℝ)) ⊓ (g : C(X, ℝ)) ∈ A.topologicalClosure := by
rw [inf_eq_half_smul_add_sub_abs_sub' ℝ]
refine
A.topologicalClosure.smul_mem
(A.topologicalClosure.sub_mem
(A.topologicalClosure.add_mem (A.le_topologicalClosure f.property)
(A.le_topologicalClosure g.property))
?_)
_
exact mod_cast abs_mem_subalgebra_closure A _
#align continuous_map.inf_mem_subalgebra_closure ContinuousMap.inf_mem_subalgebra_closure
| Mathlib/Topology/ContinuousFunction/StoneWeierstrass.lean | 137 | 143 | theorem inf_mem_closed_subalgebra (A : Subalgebra ℝ C(X, ℝ)) (h : IsClosed (A : Set C(X, ℝ)))
(f g : A) : (f : C(X, ℝ)) ⊓ (g : C(X, ℝ)) ∈ A := by |
convert inf_mem_subalgebra_closure A f g
apply SetLike.ext'
symm
erw [closure_eq_iff_isClosed]
exact h
| 5 | 148.413159 | 2 | 1.888889 | 9 | 1,931 |
import Mathlib.Algebra.Algebra.Subalgebra.Unitization
import Mathlib.Analysis.RCLike.Basic
import Mathlib.Topology.Algebra.StarSubalgebra
import Mathlib.Topology.ContinuousFunction.ContinuousMapZero
import Mathlib.Topology.ContinuousFunction.Weierstrass
#align_import topology.continuous_function.stone_weierstrass from "leanprover-community/mathlib"@"16e59248c0ebafabd5d071b1cd41743eb8698ffb"
noncomputable section
namespace ContinuousMap
variable {X : Type*} [TopologicalSpace X] [CompactSpace X]
open scoped Polynomial
def attachBound (f : C(X, ℝ)) : C(X, Set.Icc (-‖f‖) ‖f‖) where
toFun x := ⟨f x, ⟨neg_norm_le_apply f x, apply_le_norm f x⟩⟩
#align continuous_map.attach_bound ContinuousMap.attachBound
@[simp]
theorem attachBound_apply_coe (f : C(X, ℝ)) (x : X) : ((attachBound f) x : ℝ) = f x :=
rfl
#align continuous_map.attach_bound_apply_coe ContinuousMap.attachBound_apply_coe
theorem polynomial_comp_attachBound (A : Subalgebra ℝ C(X, ℝ)) (f : A) (g : ℝ[X]) :
(g.toContinuousMapOn (Set.Icc (-‖f‖) ‖f‖)).comp (f : C(X, ℝ)).attachBound =
Polynomial.aeval f g := by
ext
simp only [ContinuousMap.coe_comp, Function.comp_apply, ContinuousMap.attachBound_apply_coe,
Polynomial.toContinuousMapOn_apply, Polynomial.aeval_subalgebra_coe,
Polynomial.aeval_continuousMap_apply, Polynomial.toContinuousMap_apply]
-- This used to be `rw`, but we need `erw` after leanprover/lean4#2644
erw [ContinuousMap.attachBound_apply_coe]
#align continuous_map.polynomial_comp_attach_bound ContinuousMap.polynomial_comp_attachBound
theorem polynomial_comp_attachBound_mem (A : Subalgebra ℝ C(X, ℝ)) (f : A) (g : ℝ[X]) :
(g.toContinuousMapOn (Set.Icc (-‖f‖) ‖f‖)).comp (f : C(X, ℝ)).attachBound ∈ A := by
rw [polynomial_comp_attachBound]
apply SetLike.coe_mem
#align continuous_map.polynomial_comp_attach_bound_mem ContinuousMap.polynomial_comp_attachBound_mem
theorem comp_attachBound_mem_closure (A : Subalgebra ℝ C(X, ℝ)) (f : A)
(p : C(Set.Icc (-‖f‖) ‖f‖, ℝ)) : p.comp (attachBound (f : C(X, ℝ))) ∈ A.topologicalClosure := by
-- `p` itself is in the closure of polynomials, by the Weierstrass theorem,
have mem_closure : p ∈ (polynomialFunctions (Set.Icc (-‖f‖) ‖f‖)).topologicalClosure :=
continuousMap_mem_polynomialFunctions_closure _ _ p
-- and so there are polynomials arbitrarily close.
have frequently_mem_polynomials := mem_closure_iff_frequently.mp mem_closure
-- To prove `p.comp (attachBound f)` is in the closure of `A`,
-- we show there are elements of `A` arbitrarily close.
apply mem_closure_iff_frequently.mpr
-- To show that, we pull back the polynomials close to `p`,
refine
((compRightContinuousMap ℝ (attachBound (f : C(X, ℝ)))).continuousAt
p).tendsto.frequently_map
_ ?_ frequently_mem_polynomials
-- but need to show that those pullbacks are actually in `A`.
rintro _ ⟨g, ⟨-, rfl⟩⟩
simp only [SetLike.mem_coe, AlgHom.coe_toRingHom, compRightContinuousMap_apply,
Polynomial.toContinuousMapOnAlgHom_apply]
apply polynomial_comp_attachBound_mem
#align continuous_map.comp_attach_bound_mem_closure ContinuousMap.comp_attachBound_mem_closure
theorem abs_mem_subalgebra_closure (A : Subalgebra ℝ C(X, ℝ)) (f : A) :
|(f : C(X, ℝ))| ∈ A.topologicalClosure := by
let f' := attachBound (f : C(X, ℝ))
let abs : C(Set.Icc (-‖f‖) ‖f‖, ℝ) := { toFun := fun x : Set.Icc (-‖f‖) ‖f‖ => |(x : ℝ)| }
change abs.comp f' ∈ A.topologicalClosure
apply comp_attachBound_mem_closure
#align continuous_map.abs_mem_subalgebra_closure ContinuousMap.abs_mem_subalgebra_closure
theorem inf_mem_subalgebra_closure (A : Subalgebra ℝ C(X, ℝ)) (f g : A) :
(f : C(X, ℝ)) ⊓ (g : C(X, ℝ)) ∈ A.topologicalClosure := by
rw [inf_eq_half_smul_add_sub_abs_sub' ℝ]
refine
A.topologicalClosure.smul_mem
(A.topologicalClosure.sub_mem
(A.topologicalClosure.add_mem (A.le_topologicalClosure f.property)
(A.le_topologicalClosure g.property))
?_)
_
exact mod_cast abs_mem_subalgebra_closure A _
#align continuous_map.inf_mem_subalgebra_closure ContinuousMap.inf_mem_subalgebra_closure
theorem inf_mem_closed_subalgebra (A : Subalgebra ℝ C(X, ℝ)) (h : IsClosed (A : Set C(X, ℝ)))
(f g : A) : (f : C(X, ℝ)) ⊓ (g : C(X, ℝ)) ∈ A := by
convert inf_mem_subalgebra_closure A f g
apply SetLike.ext'
symm
erw [closure_eq_iff_isClosed]
exact h
#align continuous_map.inf_mem_closed_subalgebra ContinuousMap.inf_mem_closed_subalgebra
| Mathlib/Topology/ContinuousFunction/StoneWeierstrass.lean | 146 | 156 | theorem sup_mem_subalgebra_closure (A : Subalgebra ℝ C(X, ℝ)) (f g : A) :
(f : C(X, ℝ)) ⊔ (g : C(X, ℝ)) ∈ A.topologicalClosure := by |
rw [sup_eq_half_smul_add_add_abs_sub' ℝ]
refine
A.topologicalClosure.smul_mem
(A.topologicalClosure.add_mem
(A.topologicalClosure.add_mem (A.le_topologicalClosure f.property)
(A.le_topologicalClosure g.property))
?_)
_
exact mod_cast abs_mem_subalgebra_closure A _
| 9 | 8,103.083928 | 2 | 1.888889 | 9 | 1,931 |
import Mathlib.Algebra.Algebra.Subalgebra.Unitization
import Mathlib.Analysis.RCLike.Basic
import Mathlib.Topology.Algebra.StarSubalgebra
import Mathlib.Topology.ContinuousFunction.ContinuousMapZero
import Mathlib.Topology.ContinuousFunction.Weierstrass
#align_import topology.continuous_function.stone_weierstrass from "leanprover-community/mathlib"@"16e59248c0ebafabd5d071b1cd41743eb8698ffb"
noncomputable section
namespace ContinuousMap
variable {X : Type*} [TopologicalSpace X] [CompactSpace X]
open scoped Polynomial
def attachBound (f : C(X, ℝ)) : C(X, Set.Icc (-‖f‖) ‖f‖) where
toFun x := ⟨f x, ⟨neg_norm_le_apply f x, apply_le_norm f x⟩⟩
#align continuous_map.attach_bound ContinuousMap.attachBound
@[simp]
theorem attachBound_apply_coe (f : C(X, ℝ)) (x : X) : ((attachBound f) x : ℝ) = f x :=
rfl
#align continuous_map.attach_bound_apply_coe ContinuousMap.attachBound_apply_coe
theorem polynomial_comp_attachBound (A : Subalgebra ℝ C(X, ℝ)) (f : A) (g : ℝ[X]) :
(g.toContinuousMapOn (Set.Icc (-‖f‖) ‖f‖)).comp (f : C(X, ℝ)).attachBound =
Polynomial.aeval f g := by
ext
simp only [ContinuousMap.coe_comp, Function.comp_apply, ContinuousMap.attachBound_apply_coe,
Polynomial.toContinuousMapOn_apply, Polynomial.aeval_subalgebra_coe,
Polynomial.aeval_continuousMap_apply, Polynomial.toContinuousMap_apply]
-- This used to be `rw`, but we need `erw` after leanprover/lean4#2644
erw [ContinuousMap.attachBound_apply_coe]
#align continuous_map.polynomial_comp_attach_bound ContinuousMap.polynomial_comp_attachBound
theorem polynomial_comp_attachBound_mem (A : Subalgebra ℝ C(X, ℝ)) (f : A) (g : ℝ[X]) :
(g.toContinuousMapOn (Set.Icc (-‖f‖) ‖f‖)).comp (f : C(X, ℝ)).attachBound ∈ A := by
rw [polynomial_comp_attachBound]
apply SetLike.coe_mem
#align continuous_map.polynomial_comp_attach_bound_mem ContinuousMap.polynomial_comp_attachBound_mem
theorem comp_attachBound_mem_closure (A : Subalgebra ℝ C(X, ℝ)) (f : A)
(p : C(Set.Icc (-‖f‖) ‖f‖, ℝ)) : p.comp (attachBound (f : C(X, ℝ))) ∈ A.topologicalClosure := by
-- `p` itself is in the closure of polynomials, by the Weierstrass theorem,
have mem_closure : p ∈ (polynomialFunctions (Set.Icc (-‖f‖) ‖f‖)).topologicalClosure :=
continuousMap_mem_polynomialFunctions_closure _ _ p
-- and so there are polynomials arbitrarily close.
have frequently_mem_polynomials := mem_closure_iff_frequently.mp mem_closure
-- To prove `p.comp (attachBound f)` is in the closure of `A`,
-- we show there are elements of `A` arbitrarily close.
apply mem_closure_iff_frequently.mpr
-- To show that, we pull back the polynomials close to `p`,
refine
((compRightContinuousMap ℝ (attachBound (f : C(X, ℝ)))).continuousAt
p).tendsto.frequently_map
_ ?_ frequently_mem_polynomials
-- but need to show that those pullbacks are actually in `A`.
rintro _ ⟨g, ⟨-, rfl⟩⟩
simp only [SetLike.mem_coe, AlgHom.coe_toRingHom, compRightContinuousMap_apply,
Polynomial.toContinuousMapOnAlgHom_apply]
apply polynomial_comp_attachBound_mem
#align continuous_map.comp_attach_bound_mem_closure ContinuousMap.comp_attachBound_mem_closure
theorem abs_mem_subalgebra_closure (A : Subalgebra ℝ C(X, ℝ)) (f : A) :
|(f : C(X, ℝ))| ∈ A.topologicalClosure := by
let f' := attachBound (f : C(X, ℝ))
let abs : C(Set.Icc (-‖f‖) ‖f‖, ℝ) := { toFun := fun x : Set.Icc (-‖f‖) ‖f‖ => |(x : ℝ)| }
change abs.comp f' ∈ A.topologicalClosure
apply comp_attachBound_mem_closure
#align continuous_map.abs_mem_subalgebra_closure ContinuousMap.abs_mem_subalgebra_closure
theorem inf_mem_subalgebra_closure (A : Subalgebra ℝ C(X, ℝ)) (f g : A) :
(f : C(X, ℝ)) ⊓ (g : C(X, ℝ)) ∈ A.topologicalClosure := by
rw [inf_eq_half_smul_add_sub_abs_sub' ℝ]
refine
A.topologicalClosure.smul_mem
(A.topologicalClosure.sub_mem
(A.topologicalClosure.add_mem (A.le_topologicalClosure f.property)
(A.le_topologicalClosure g.property))
?_)
_
exact mod_cast abs_mem_subalgebra_closure A _
#align continuous_map.inf_mem_subalgebra_closure ContinuousMap.inf_mem_subalgebra_closure
theorem inf_mem_closed_subalgebra (A : Subalgebra ℝ C(X, ℝ)) (h : IsClosed (A : Set C(X, ℝ)))
(f g : A) : (f : C(X, ℝ)) ⊓ (g : C(X, ℝ)) ∈ A := by
convert inf_mem_subalgebra_closure A f g
apply SetLike.ext'
symm
erw [closure_eq_iff_isClosed]
exact h
#align continuous_map.inf_mem_closed_subalgebra ContinuousMap.inf_mem_closed_subalgebra
theorem sup_mem_subalgebra_closure (A : Subalgebra ℝ C(X, ℝ)) (f g : A) :
(f : C(X, ℝ)) ⊔ (g : C(X, ℝ)) ∈ A.topologicalClosure := by
rw [sup_eq_half_smul_add_add_abs_sub' ℝ]
refine
A.topologicalClosure.smul_mem
(A.topologicalClosure.add_mem
(A.topologicalClosure.add_mem (A.le_topologicalClosure f.property)
(A.le_topologicalClosure g.property))
?_)
_
exact mod_cast abs_mem_subalgebra_closure A _
#align continuous_map.sup_mem_subalgebra_closure ContinuousMap.sup_mem_subalgebra_closure
| Mathlib/Topology/ContinuousFunction/StoneWeierstrass.lean | 159 | 165 | theorem sup_mem_closed_subalgebra (A : Subalgebra ℝ C(X, ℝ)) (h : IsClosed (A : Set C(X, ℝ)))
(f g : A) : (f : C(X, ℝ)) ⊔ (g : C(X, ℝ)) ∈ A := by |
convert sup_mem_subalgebra_closure A f g
apply SetLike.ext'
symm
erw [closure_eq_iff_isClosed]
exact h
| 5 | 148.413159 | 2 | 1.888889 | 9 | 1,931 |
import Mathlib.Algebra.Algebra.Subalgebra.Unitization
import Mathlib.Analysis.RCLike.Basic
import Mathlib.Topology.Algebra.StarSubalgebra
import Mathlib.Topology.ContinuousFunction.ContinuousMapZero
import Mathlib.Topology.ContinuousFunction.Weierstrass
#align_import topology.continuous_function.stone_weierstrass from "leanprover-community/mathlib"@"16e59248c0ebafabd5d071b1cd41743eb8698ffb"
noncomputable section
section RCLike
open RCLike
-- Redefine `X`, since for the next lemma it need not be compact
variable {𝕜 : Type*} {X : Type*} [RCLike 𝕜] [TopologicalSpace X]
open ContinuousMap
#noalign continuous_map.conj_invariant_subalgebra
#noalign continuous_map.mem_conj_invariant_subalgebra
#noalign continuous_map.subalgebra_conj_invariant
| Mathlib/Topology/ContinuousFunction/StoneWeierstrass.lean | 355 | 377 | theorem Subalgebra.SeparatesPoints.rclike_to_real {A : StarSubalgebra 𝕜 C(X, 𝕜)}
(hA : A.SeparatesPoints) :
((A.restrictScalars ℝ).comap
(ofRealAm.compLeftContinuous ℝ continuous_ofReal)).SeparatesPoints := by |
intro x₁ x₂ hx
-- Let `f` in the subalgebra `A` separate the points `x₁`, `x₂`
obtain ⟨_, ⟨f, hfA, rfl⟩, hf⟩ := hA hx
let F : C(X, 𝕜) := f - const _ (f x₂)
-- Subtract the constant `f x₂` from `f`; this is still an element of the subalgebra
have hFA : F ∈ A := by
refine A.sub_mem hfA (@Eq.subst _ (· ∈ A) _ _ ?_ <| A.smul_mem A.one_mem <| f x₂)
ext1
simp only [coe_smul, coe_one, smul_apply, one_apply, Algebra.id.smul_eq_mul, mul_one,
const_apply]
-- Consider now the function `fun x ↦ |f x - f x₂| ^ 2`
refine ⟨_, ⟨⟨(‖F ·‖ ^ 2), by continuity⟩, ?_, rfl⟩, ?_⟩
· -- This is also an element of the subalgebra, and takes only real values
rw [SetLike.mem_coe, Subalgebra.mem_comap]
convert (A.restrictScalars ℝ).mul_mem hFA (star_mem hFA : star F ∈ A)
ext1
simp [← RCLike.mul_conj]
· -- And it also separates the points `x₁`, `x₂`
simpa [F] using sub_ne_zero.mpr hf
| 19 | 178,482,300.963187 | 2 | 1.888889 | 9 | 1,931 |
import Mathlib.Algebra.Algebra.Subalgebra.Directed
import Mathlib.FieldTheory.IntermediateField
import Mathlib.FieldTheory.Separable
import Mathlib.FieldTheory.SplittingField.IsSplittingField
import Mathlib.RingTheory.TensorProduct.Basic
#align_import field_theory.adjoin from "leanprover-community/mathlib"@"df76f43357840485b9d04ed5dee5ab115d420e87"
set_option autoImplicit true
open FiniteDimensional Polynomial
open scoped Classical Polynomial
namespace IntermediateField
section AdjoinDef
variable (F : Type*) [Field F] {E : Type*} [Field E] [Algebra F E] (S : Set E)
-- Porting note: not adding `neg_mem'` causes an error.
def adjoin : IntermediateField F E :=
{ Subfield.closure (Set.range (algebraMap F E) ∪ S) with
algebraMap_mem' := fun x => Subfield.subset_closure (Or.inl (Set.mem_range_self x)) }
#align intermediate_field.adjoin IntermediateField.adjoin
variable {S}
| Mathlib/FieldTheory/Adjoin.lean | 54 | 60 | theorem mem_adjoin_iff (x : E) :
x ∈ adjoin F S ↔ ∃ r s : MvPolynomial S F,
x = MvPolynomial.aeval Subtype.val r / MvPolynomial.aeval Subtype.val s := by |
simp only [adjoin, mem_mk, Subring.mem_toSubsemiring, Subfield.mem_toSubring,
Subfield.mem_closure_iff, ← Algebra.adjoin_eq_ring_closure, Subalgebra.mem_toSubring,
Algebra.adjoin_eq_range, AlgHom.mem_range, exists_exists_eq_and]
tauto
| 4 | 54.59815 | 2 | 2 | 2 | 1,932 |
import Mathlib.Algebra.Algebra.Subalgebra.Directed
import Mathlib.FieldTheory.IntermediateField
import Mathlib.FieldTheory.Separable
import Mathlib.FieldTheory.SplittingField.IsSplittingField
import Mathlib.RingTheory.TensorProduct.Basic
#align_import field_theory.adjoin from "leanprover-community/mathlib"@"df76f43357840485b9d04ed5dee5ab115d420e87"
set_option autoImplicit true
open FiniteDimensional Polynomial
open scoped Classical Polynomial
namespace IntermediateField
section AdjoinDef
variable (F : Type*) [Field F] {E : Type*} [Field E] [Algebra F E] (S : Set E)
-- Porting note: not adding `neg_mem'` causes an error.
def adjoin : IntermediateField F E :=
{ Subfield.closure (Set.range (algebraMap F E) ∪ S) with
algebraMap_mem' := fun x => Subfield.subset_closure (Or.inl (Set.mem_range_self x)) }
#align intermediate_field.adjoin IntermediateField.adjoin
variable {S}
theorem mem_adjoin_iff (x : E) :
x ∈ adjoin F S ↔ ∃ r s : MvPolynomial S F,
x = MvPolynomial.aeval Subtype.val r / MvPolynomial.aeval Subtype.val s := by
simp only [adjoin, mem_mk, Subring.mem_toSubsemiring, Subfield.mem_toSubring,
Subfield.mem_closure_iff, ← Algebra.adjoin_eq_ring_closure, Subalgebra.mem_toSubring,
Algebra.adjoin_eq_range, AlgHom.mem_range, exists_exists_eq_and]
tauto
| Mathlib/FieldTheory/Adjoin.lean | 62 | 67 | theorem mem_adjoin_simple_iff {α : E} (x : E) :
x ∈ adjoin F {α} ↔ ∃ r s : F[X], x = aeval α r / aeval α s := by |
simp only [adjoin, mem_mk, Subring.mem_toSubsemiring, Subfield.mem_toSubring,
Subfield.mem_closure_iff, ← Algebra.adjoin_eq_ring_closure, Subalgebra.mem_toSubring,
Algebra.adjoin_singleton_eq_range_aeval, AlgHom.mem_range, exists_exists_eq_and]
tauto
| 4 | 54.59815 | 2 | 2 | 2 | 1,932 |
import Mathlib.MeasureTheory.SetSemiring
open MeasurableSpace Set
namespace MeasureTheory
variable {α : Type*} {𝒜 : Set (Set α)} {s t : Set α}
structure IsSetAlgebra (𝒜 : Set (Set α)) : Prop where
empty_mem : ∅ ∈ 𝒜
compl_mem : ∀ ⦃s⦄, s ∈ 𝒜 → sᶜ ∈ 𝒜
union_mem : ∀ ⦃s t⦄, s ∈ 𝒜 → t ∈ 𝒜 → s ∪ t ∈ 𝒜
namespace IsSetAlgebra
theorem univ_mem (h𝒜 : IsSetAlgebra 𝒜) : univ ∈ 𝒜 :=
compl_empty ▸ h𝒜.compl_mem h𝒜.empty_mem
theorem inter_mem (h𝒜 : IsSetAlgebra 𝒜) (s_mem : s ∈ 𝒜) (t_mem : t ∈ 𝒜) :
s ∩ t ∈ 𝒜 :=
inter_eq_compl_compl_union_compl .. ▸
h𝒜.compl_mem (h𝒜.union_mem (h𝒜.compl_mem s_mem) (h𝒜.compl_mem t_mem))
theorem diff_mem (h𝒜 : IsSetAlgebra 𝒜) (s_mem : s ∈ 𝒜) (t_mem : t ∈ 𝒜) :
s \ t ∈ 𝒜 := h𝒜.inter_mem s_mem (h𝒜.compl_mem t_mem)
theorem isSetRing (h𝒜 : IsSetAlgebra 𝒜) : IsSetRing 𝒜 where
empty_mem := h𝒜.empty_mem
union_mem := h𝒜.union_mem
diff_mem := fun _ _ ↦ h𝒜.diff_mem
theorem biUnion_mem {ι : Type*} (h𝒜 : IsSetAlgebra 𝒜) {s : ι → Set α} (S : Finset ι)
(hs : ∀ i ∈ S, s i ∈ 𝒜) : ⋃ i ∈ S, s i ∈ 𝒜 := h𝒜.isSetRing.biUnion_mem S hs
| Mathlib/MeasureTheory/SetAlgebra.lean | 86 | 92 | theorem biInter_mem {ι : Type*} (h𝒜 : IsSetAlgebra 𝒜) {s : ι → Set α} (S : Finset ι)
(hs : ∀ i ∈ S, s i ∈ 𝒜) : ⋂ i ∈ S, s i ∈ 𝒜 := by |
by_cases h : S = ∅
· rw [h, ← Finset.set_biInter_coe, Finset.coe_empty, biInter_empty]
exact h𝒜.univ_mem
· rw [← ne_eq, ← Finset.nonempty_iff_ne_empty] at h
exact h𝒜.isSetRing.biInter_mem S h hs
| 5 | 148.413159 | 2 | 2 | 4 | 1,933 |
import Mathlib.MeasureTheory.SetSemiring
open MeasurableSpace Set
namespace MeasureTheory
variable {α : Type*} {𝒜 : Set (Set α)} {s t : Set α}
structure IsSetAlgebra (𝒜 : Set (Set α)) : Prop where
empty_mem : ∅ ∈ 𝒜
compl_mem : ∀ ⦃s⦄, s ∈ 𝒜 → sᶜ ∈ 𝒜
union_mem : ∀ ⦃s t⦄, s ∈ 𝒜 → t ∈ 𝒜 → s ∪ t ∈ 𝒜
section generateSetAlgebra
inductive generateSetAlgebra {α : Type*} (𝒜 : Set (Set α)) : Set (Set α)
| base (s : Set α) (s_mem : s ∈ 𝒜) : generateSetAlgebra 𝒜 s
| empty : generateSetAlgebra 𝒜 ∅
| compl (s : Set α) (hs : generateSetAlgebra 𝒜 s) : generateSetAlgebra 𝒜 sᶜ
| union (s t : Set α) (hs : generateSetAlgebra 𝒜 s) (ht : generateSetAlgebra 𝒜 t) :
generateSetAlgebra 𝒜 (s ∪ t)
theorem isSetAlgebra_generateSetAlgebra :
IsSetAlgebra (generateSetAlgebra 𝒜) where
empty_mem := generateSetAlgebra.empty
compl_mem := fun _ hs ↦ generateSetAlgebra.compl _ hs
union_mem := fun _ _ hs ht ↦ generateSetAlgebra.union _ _ hs ht
theorem self_subset_generateSetAlgebra : 𝒜 ⊆ generateSetAlgebra 𝒜 :=
fun _ ↦ generateSetAlgebra.base _
@[simp]
| Mathlib/MeasureTheory/SetAlgebra.lean | 122 | 134 | theorem generateFrom_generateSetAlgebra_eq :
generateFrom (generateSetAlgebra 𝒜) = generateFrom 𝒜 := by |
refine le_antisymm (fun s ms ↦ ?_) (generateFrom_mono self_subset_generateSetAlgebra)
refine @generateFrom_induction _ _ (generateSetAlgebra 𝒜) (fun t ht ↦ ?_)
(@MeasurableSet.empty _ (generateFrom 𝒜))
(fun t ↦ MeasurableSet.compl)
(fun f hf ↦ MeasurableSet.iUnion hf)
s ms
induction ht with
| base u u_mem => exact measurableSet_generateFrom u_mem
| empty => exact @MeasurableSet.empty _ (generateFrom 𝒜)
| compl u _ mu => exact mu.compl
| union u v _ _ mu mv => exact MeasurableSet.union mu mv
| 11 | 59,874.141715 | 2 | 2 | 4 | 1,933 |
import Mathlib.MeasureTheory.SetSemiring
open MeasurableSpace Set
namespace MeasureTheory
variable {α : Type*} {𝒜 : Set (Set α)} {s t : Set α}
structure IsSetAlgebra (𝒜 : Set (Set α)) : Prop where
empty_mem : ∅ ∈ 𝒜
compl_mem : ∀ ⦃s⦄, s ∈ 𝒜 → sᶜ ∈ 𝒜
union_mem : ∀ ⦃s t⦄, s ∈ 𝒜 → t ∈ 𝒜 → s ∪ t ∈ 𝒜
section generateSetAlgebra
inductive generateSetAlgebra {α : Type*} (𝒜 : Set (Set α)) : Set (Set α)
| base (s : Set α) (s_mem : s ∈ 𝒜) : generateSetAlgebra 𝒜 s
| empty : generateSetAlgebra 𝒜 ∅
| compl (s : Set α) (hs : generateSetAlgebra 𝒜 s) : generateSetAlgebra 𝒜 sᶜ
| union (s t : Set α) (hs : generateSetAlgebra 𝒜 s) (ht : generateSetAlgebra 𝒜 t) :
generateSetAlgebra 𝒜 (s ∪ t)
theorem isSetAlgebra_generateSetAlgebra :
IsSetAlgebra (generateSetAlgebra 𝒜) where
empty_mem := generateSetAlgebra.empty
compl_mem := fun _ hs ↦ generateSetAlgebra.compl _ hs
union_mem := fun _ _ hs ht ↦ generateSetAlgebra.union _ _ hs ht
theorem self_subset_generateSetAlgebra : 𝒜 ⊆ generateSetAlgebra 𝒜 :=
fun _ ↦ generateSetAlgebra.base _
@[simp]
theorem generateFrom_generateSetAlgebra_eq :
generateFrom (generateSetAlgebra 𝒜) = generateFrom 𝒜 := by
refine le_antisymm (fun s ms ↦ ?_) (generateFrom_mono self_subset_generateSetAlgebra)
refine @generateFrom_induction _ _ (generateSetAlgebra 𝒜) (fun t ht ↦ ?_)
(@MeasurableSet.empty _ (generateFrom 𝒜))
(fun t ↦ MeasurableSet.compl)
(fun f hf ↦ MeasurableSet.iUnion hf)
s ms
induction ht with
| base u u_mem => exact measurableSet_generateFrom u_mem
| empty => exact @MeasurableSet.empty _ (generateFrom 𝒜)
| compl u _ mu => exact mu.compl
| union u v _ _ mu mv => exact MeasurableSet.union mu mv
| Mathlib/MeasureTheory/SetAlgebra.lean | 138 | 145 | theorem generateSetAlgebra_mono {ℬ : Set (Set α)} (h : 𝒜 ⊆ ℬ) :
generateSetAlgebra 𝒜 ⊆ generateSetAlgebra ℬ := by |
intro s hs
induction hs with
| base t t_mem => exact self_subset_generateSetAlgebra (h t_mem)
| empty => exact isSetAlgebra_generateSetAlgebra.empty_mem
| compl t _ t_mem => exact isSetAlgebra_generateSetAlgebra.compl_mem t_mem
| union t u _ _ t_mem u_mem => exact isSetAlgebra_generateSetAlgebra.union_mem t_mem u_mem
| 6 | 403.428793 | 2 | 2 | 4 | 1,933 |
import Mathlib.MeasureTheory.SetSemiring
open MeasurableSpace Set
namespace MeasureTheory
variable {α : Type*} {𝒜 : Set (Set α)} {s t : Set α}
structure IsSetAlgebra (𝒜 : Set (Set α)) : Prop where
empty_mem : ∅ ∈ 𝒜
compl_mem : ∀ ⦃s⦄, s ∈ 𝒜 → sᶜ ∈ 𝒜
union_mem : ∀ ⦃s t⦄, s ∈ 𝒜 → t ∈ 𝒜 → s ∪ t ∈ 𝒜
section generateSetAlgebra
inductive generateSetAlgebra {α : Type*} (𝒜 : Set (Set α)) : Set (Set α)
| base (s : Set α) (s_mem : s ∈ 𝒜) : generateSetAlgebra 𝒜 s
| empty : generateSetAlgebra 𝒜 ∅
| compl (s : Set α) (hs : generateSetAlgebra 𝒜 s) : generateSetAlgebra 𝒜 sᶜ
| union (s t : Set α) (hs : generateSetAlgebra 𝒜 s) (ht : generateSetAlgebra 𝒜 t) :
generateSetAlgebra 𝒜 (s ∪ t)
theorem isSetAlgebra_generateSetAlgebra :
IsSetAlgebra (generateSetAlgebra 𝒜) where
empty_mem := generateSetAlgebra.empty
compl_mem := fun _ hs ↦ generateSetAlgebra.compl _ hs
union_mem := fun _ _ hs ht ↦ generateSetAlgebra.union _ _ hs ht
theorem self_subset_generateSetAlgebra : 𝒜 ⊆ generateSetAlgebra 𝒜 :=
fun _ ↦ generateSetAlgebra.base _
@[simp]
theorem generateFrom_generateSetAlgebra_eq :
generateFrom (generateSetAlgebra 𝒜) = generateFrom 𝒜 := by
refine le_antisymm (fun s ms ↦ ?_) (generateFrom_mono self_subset_generateSetAlgebra)
refine @generateFrom_induction _ _ (generateSetAlgebra 𝒜) (fun t ht ↦ ?_)
(@MeasurableSet.empty _ (generateFrom 𝒜))
(fun t ↦ MeasurableSet.compl)
(fun f hf ↦ MeasurableSet.iUnion hf)
s ms
induction ht with
| base u u_mem => exact measurableSet_generateFrom u_mem
| empty => exact @MeasurableSet.empty _ (generateFrom 𝒜)
| compl u _ mu => exact mu.compl
| union u v _ _ mu mv => exact MeasurableSet.union mu mv
theorem generateSetAlgebra_mono {ℬ : Set (Set α)} (h : 𝒜 ⊆ ℬ) :
generateSetAlgebra 𝒜 ⊆ generateSetAlgebra ℬ := by
intro s hs
induction hs with
| base t t_mem => exact self_subset_generateSetAlgebra (h t_mem)
| empty => exact isSetAlgebra_generateSetAlgebra.empty_mem
| compl t _ t_mem => exact isSetAlgebra_generateSetAlgebra.compl_mem t_mem
| union t u _ _ t_mem u_mem => exact isSetAlgebra_generateSetAlgebra.union_mem t_mem u_mem
namespace IsSetAlgebra
| Mathlib/MeasureTheory/SetAlgebra.lean | 151 | 158 | theorem generateSetAlgebra_subset {ℬ : Set (Set α)} (h : 𝒜 ⊆ ℬ)
(hℬ : IsSetAlgebra ℬ) : generateSetAlgebra 𝒜 ⊆ ℬ := by |
intro s hs
induction hs with
| base t t_mem => exact h t_mem
| empty => exact hℬ.empty_mem
| compl t _ t_mem => exact hℬ.compl_mem t_mem
| union t u _ _ t_mem u_mem => exact hℬ.union_mem t_mem u_mem
| 6 | 403.428793 | 2 | 2 | 4 | 1,933 |
import Mathlib.AlgebraicGeometry.Morphisms.Basic
import Mathlib.RingTheory.LocalProperties
#align_import algebraic_geometry.morphisms.ring_hom_properties from "leanprover-community/mathlib"@"d39590fc8728fbf6743249802486f8c91ffe07bc"
-- Explicit universe annotations were used in this file to improve perfomance #12737
universe u
open CategoryTheory Opposite TopologicalSpace CategoryTheory.Limits AlgebraicGeometry
variable (P : ∀ {R S : Type u} [CommRing R] [CommRing S], (R →+* S) → Prop)
namespace RingHom
variable {P}
| Mathlib/AlgebraicGeometry/Morphisms/RingHomProperties.lean | 48 | 70 | theorem RespectsIso.basicOpen_iff (hP : RespectsIso @P) {X Y : Scheme.{u}} [IsAffine X] [IsAffine Y]
(f : X ⟶ Y) (r : Y.presheaf.obj (Opposite.op ⊤)) :
P (Scheme.Γ.map (f ∣_ Y.basicOpen r).op) ↔
P (@IsLocalization.Away.map (Y.presheaf.obj (Opposite.op ⊤)) _
(Y.presheaf.obj (Opposite.op <| Y.basicOpen r)) _ _ (X.presheaf.obj (Opposite.op ⊤)) _
(X.presheaf.obj (Opposite.op <| X.basicOpen (Scheme.Γ.map f.op r))) _ _
(Scheme.Γ.map f.op) r _ <| @isLocalization_away_of_isAffine X _ (Scheme.Γ.map f.op r)) := by |
rw [Γ_map_morphismRestrict, hP.cancel_left_isIso, hP.cancel_right_isIso,
← hP.cancel_right_isIso (f.val.c.app (Opposite.op (Y.basicOpen r)))
(X.presheaf.map (eqToHom (Scheme.preimage_basicOpen f r).symm).op), ← eq_iff_iff]
congr
delta IsLocalization.Away.map
refine IsLocalization.ringHom_ext (Submonoid.powers r) ?_
generalize_proofs
haveI i1 := @isLocalization_away_of_isAffine X _ (Scheme.Γ.map f.op r)
-- Porting note: needs to be very explicit here
convert
(@IsLocalization.map_comp (hy := ‹_ ≤ _›) (Y.presheaf.obj <| Opposite.op (Scheme.basicOpen Y r))
_ _ (isLocalization_away_of_isAffine _) _ _ _ i1).symm using 1
change Y.presheaf.map _ ≫ _ = _ ≫ X.presheaf.map _
rw [f.val.c.naturality_assoc]
simp only [TopCat.Presheaf.pushforwardObj_map, ← X.presheaf.map_comp]
congr 1
| 16 | 8,886,110.520508 | 2 | 2 | 6 | 1,934 |
import Mathlib.AlgebraicGeometry.Morphisms.Basic
import Mathlib.RingTheory.LocalProperties
#align_import algebraic_geometry.morphisms.ring_hom_properties from "leanprover-community/mathlib"@"d39590fc8728fbf6743249802486f8c91ffe07bc"
-- Explicit universe annotations were used in this file to improve perfomance #12737
universe u
open CategoryTheory Opposite TopologicalSpace CategoryTheory.Limits AlgebraicGeometry
variable (P : ∀ {R S : Type u} [CommRing R] [CommRing S], (R →+* S) → Prop)
namespace RingHom
variable {P}
theorem RespectsIso.basicOpen_iff (hP : RespectsIso @P) {X Y : Scheme.{u}} [IsAffine X] [IsAffine Y]
(f : X ⟶ Y) (r : Y.presheaf.obj (Opposite.op ⊤)) :
P (Scheme.Γ.map (f ∣_ Y.basicOpen r).op) ↔
P (@IsLocalization.Away.map (Y.presheaf.obj (Opposite.op ⊤)) _
(Y.presheaf.obj (Opposite.op <| Y.basicOpen r)) _ _ (X.presheaf.obj (Opposite.op ⊤)) _
(X.presheaf.obj (Opposite.op <| X.basicOpen (Scheme.Γ.map f.op r))) _ _
(Scheme.Γ.map f.op) r _ <| @isLocalization_away_of_isAffine X _ (Scheme.Γ.map f.op r)) := by
rw [Γ_map_morphismRestrict, hP.cancel_left_isIso, hP.cancel_right_isIso,
← hP.cancel_right_isIso (f.val.c.app (Opposite.op (Y.basicOpen r)))
(X.presheaf.map (eqToHom (Scheme.preimage_basicOpen f r).symm).op), ← eq_iff_iff]
congr
delta IsLocalization.Away.map
refine IsLocalization.ringHom_ext (Submonoid.powers r) ?_
generalize_proofs
haveI i1 := @isLocalization_away_of_isAffine X _ (Scheme.Γ.map f.op r)
-- Porting note: needs to be very explicit here
convert
(@IsLocalization.map_comp (hy := ‹_ ≤ _›) (Y.presheaf.obj <| Opposite.op (Scheme.basicOpen Y r))
_ _ (isLocalization_away_of_isAffine _) _ _ _ i1).symm using 1
change Y.presheaf.map _ ≫ _ = _ ≫ X.presheaf.map _
rw [f.val.c.naturality_assoc]
simp only [TopCat.Presheaf.pushforwardObj_map, ← X.presheaf.map_comp]
congr 1
#align ring_hom.respects_iso.basic_open_iff RingHom.RespectsIso.basicOpen_iff
| Mathlib/AlgebraicGeometry/Morphisms/RingHomProperties.lean | 73 | 80 | theorem RespectsIso.basicOpen_iff_localization (hP : RespectsIso @P) {X Y : Scheme.{u}} [IsAffine X]
[IsAffine Y] (f : X ⟶ Y) (r : Y.presheaf.obj (Opposite.op ⊤)) :
P (Scheme.Γ.map (f ∣_ Y.basicOpen r).op) ↔ P (Localization.awayMap (Scheme.Γ.map f.op) r) := by |
refine (hP.basicOpen_iff _ _).trans ?_
-- Porting note: was a one line term mode proof, but this `dsimp` is vital so the term mode
-- one liner is not possible
dsimp
rw [← hP.is_localization_away_iff]
| 5 | 148.413159 | 2 | 2 | 6 | 1,934 |
import Mathlib.AlgebraicGeometry.Morphisms.Basic
import Mathlib.RingTheory.LocalProperties
#align_import algebraic_geometry.morphisms.ring_hom_properties from "leanprover-community/mathlib"@"d39590fc8728fbf6743249802486f8c91ffe07bc"
-- Explicit universe annotations were used in this file to improve perfomance #12737
universe u
open CategoryTheory Opposite TopologicalSpace CategoryTheory.Limits AlgebraicGeometry
variable (P : ∀ {R S : Type u} [CommRing R] [CommRing S], (R →+* S) → Prop)
namespace RingHom
variable {P}
theorem RespectsIso.basicOpen_iff (hP : RespectsIso @P) {X Y : Scheme.{u}} [IsAffine X] [IsAffine Y]
(f : X ⟶ Y) (r : Y.presheaf.obj (Opposite.op ⊤)) :
P (Scheme.Γ.map (f ∣_ Y.basicOpen r).op) ↔
P (@IsLocalization.Away.map (Y.presheaf.obj (Opposite.op ⊤)) _
(Y.presheaf.obj (Opposite.op <| Y.basicOpen r)) _ _ (X.presheaf.obj (Opposite.op ⊤)) _
(X.presheaf.obj (Opposite.op <| X.basicOpen (Scheme.Γ.map f.op r))) _ _
(Scheme.Γ.map f.op) r _ <| @isLocalization_away_of_isAffine X _ (Scheme.Γ.map f.op r)) := by
rw [Γ_map_morphismRestrict, hP.cancel_left_isIso, hP.cancel_right_isIso,
← hP.cancel_right_isIso (f.val.c.app (Opposite.op (Y.basicOpen r)))
(X.presheaf.map (eqToHom (Scheme.preimage_basicOpen f r).symm).op), ← eq_iff_iff]
congr
delta IsLocalization.Away.map
refine IsLocalization.ringHom_ext (Submonoid.powers r) ?_
generalize_proofs
haveI i1 := @isLocalization_away_of_isAffine X _ (Scheme.Γ.map f.op r)
-- Porting note: needs to be very explicit here
convert
(@IsLocalization.map_comp (hy := ‹_ ≤ _›) (Y.presheaf.obj <| Opposite.op (Scheme.basicOpen Y r))
_ _ (isLocalization_away_of_isAffine _) _ _ _ i1).symm using 1
change Y.presheaf.map _ ≫ _ = _ ≫ X.presheaf.map _
rw [f.val.c.naturality_assoc]
simp only [TopCat.Presheaf.pushforwardObj_map, ← X.presheaf.map_comp]
congr 1
#align ring_hom.respects_iso.basic_open_iff RingHom.RespectsIso.basicOpen_iff
theorem RespectsIso.basicOpen_iff_localization (hP : RespectsIso @P) {X Y : Scheme.{u}} [IsAffine X]
[IsAffine Y] (f : X ⟶ Y) (r : Y.presheaf.obj (Opposite.op ⊤)) :
P (Scheme.Γ.map (f ∣_ Y.basicOpen r).op) ↔ P (Localization.awayMap (Scheme.Γ.map f.op) r) := by
refine (hP.basicOpen_iff _ _).trans ?_
-- Porting note: was a one line term mode proof, but this `dsimp` is vital so the term mode
-- one liner is not possible
dsimp
rw [← hP.is_localization_away_iff]
#align ring_hom.respects_iso.basic_open_iff_localization RingHom.RespectsIso.basicOpen_iff_localization
@[deprecated (since := "2024-03-02")] alias
RespectsIso.ofRestrict_morphismRestrict_iff_of_isAffine := RespectsIso.basicOpen_iff_localization
| Mathlib/AlgebraicGeometry/Morphisms/RingHomProperties.lean | 86 | 102 | theorem RespectsIso.ofRestrict_morphismRestrict_iff (hP : RingHom.RespectsIso @P) {X Y : Scheme.{u}}
[IsAffine Y] (f : X ⟶ Y) (r : Y.presheaf.obj (Opposite.op ⊤)) (U : Opens X.carrier)
(hU : IsAffineOpen U) {V : Opens _}
(e : V = (Scheme.ιOpens <| f ⁻¹ᵁ Y.basicOpen r) ⁻¹ᵁ U) :
P (Scheme.Γ.map (Scheme.ιOpens V ≫ f ∣_ Y.basicOpen r).op) ↔
P (Localization.awayMap (Scheme.Γ.map (Scheme.ιOpens U ≫ f).op) r) := by |
subst e
refine (hP.cancel_right_isIso _
(Scheme.Γ.mapIso (Scheme.restrictRestrictComm _ _ _).op).inv).symm.trans ?_
haveI : IsAffine _ := hU
rw [← hP.basicOpen_iff_localization, iff_iff_eq]
congr 1
simp only [Functor.mapIso_inv, Iso.op_inv, ← Functor.map_comp, ← op_comp, morphismRestrict_comp]
rw [← Category.assoc]
congr 3
rw [← cancel_mono (Scheme.ιOpens _), Category.assoc, Scheme.restrictRestrictComm,
IsOpenImmersion.isoOfRangeEq_inv_fac, morphismRestrict_ι]
| 11 | 59,874.141715 | 2 | 2 | 6 | 1,934 |
import Mathlib.AlgebraicGeometry.Morphisms.Basic
import Mathlib.RingTheory.LocalProperties
#align_import algebraic_geometry.morphisms.ring_hom_properties from "leanprover-community/mathlib"@"d39590fc8728fbf6743249802486f8c91ffe07bc"
-- Explicit universe annotations were used in this file to improve perfomance #12737
universe u
open CategoryTheory Opposite TopologicalSpace CategoryTheory.Limits AlgebraicGeometry
variable (P : ∀ {R S : Type u} [CommRing R] [CommRing S], (R →+* S) → Prop)
namespace RingHom
variable {P}
theorem RespectsIso.basicOpen_iff (hP : RespectsIso @P) {X Y : Scheme.{u}} [IsAffine X] [IsAffine Y]
(f : X ⟶ Y) (r : Y.presheaf.obj (Opposite.op ⊤)) :
P (Scheme.Γ.map (f ∣_ Y.basicOpen r).op) ↔
P (@IsLocalization.Away.map (Y.presheaf.obj (Opposite.op ⊤)) _
(Y.presheaf.obj (Opposite.op <| Y.basicOpen r)) _ _ (X.presheaf.obj (Opposite.op ⊤)) _
(X.presheaf.obj (Opposite.op <| X.basicOpen (Scheme.Γ.map f.op r))) _ _
(Scheme.Γ.map f.op) r _ <| @isLocalization_away_of_isAffine X _ (Scheme.Γ.map f.op r)) := by
rw [Γ_map_morphismRestrict, hP.cancel_left_isIso, hP.cancel_right_isIso,
← hP.cancel_right_isIso (f.val.c.app (Opposite.op (Y.basicOpen r)))
(X.presheaf.map (eqToHom (Scheme.preimage_basicOpen f r).symm).op), ← eq_iff_iff]
congr
delta IsLocalization.Away.map
refine IsLocalization.ringHom_ext (Submonoid.powers r) ?_
generalize_proofs
haveI i1 := @isLocalization_away_of_isAffine X _ (Scheme.Γ.map f.op r)
-- Porting note: needs to be very explicit here
convert
(@IsLocalization.map_comp (hy := ‹_ ≤ _›) (Y.presheaf.obj <| Opposite.op (Scheme.basicOpen Y r))
_ _ (isLocalization_away_of_isAffine _) _ _ _ i1).symm using 1
change Y.presheaf.map _ ≫ _ = _ ≫ X.presheaf.map _
rw [f.val.c.naturality_assoc]
simp only [TopCat.Presheaf.pushforwardObj_map, ← X.presheaf.map_comp]
congr 1
#align ring_hom.respects_iso.basic_open_iff RingHom.RespectsIso.basicOpen_iff
theorem RespectsIso.basicOpen_iff_localization (hP : RespectsIso @P) {X Y : Scheme.{u}} [IsAffine X]
[IsAffine Y] (f : X ⟶ Y) (r : Y.presheaf.obj (Opposite.op ⊤)) :
P (Scheme.Γ.map (f ∣_ Y.basicOpen r).op) ↔ P (Localization.awayMap (Scheme.Γ.map f.op) r) := by
refine (hP.basicOpen_iff _ _).trans ?_
-- Porting note: was a one line term mode proof, but this `dsimp` is vital so the term mode
-- one liner is not possible
dsimp
rw [← hP.is_localization_away_iff]
#align ring_hom.respects_iso.basic_open_iff_localization RingHom.RespectsIso.basicOpen_iff_localization
@[deprecated (since := "2024-03-02")] alias
RespectsIso.ofRestrict_morphismRestrict_iff_of_isAffine := RespectsIso.basicOpen_iff_localization
theorem RespectsIso.ofRestrict_morphismRestrict_iff (hP : RingHom.RespectsIso @P) {X Y : Scheme.{u}}
[IsAffine Y] (f : X ⟶ Y) (r : Y.presheaf.obj (Opposite.op ⊤)) (U : Opens X.carrier)
(hU : IsAffineOpen U) {V : Opens _}
(e : V = (Scheme.ιOpens <| f ⁻¹ᵁ Y.basicOpen r) ⁻¹ᵁ U) :
P (Scheme.Γ.map (Scheme.ιOpens V ≫ f ∣_ Y.basicOpen r).op) ↔
P (Localization.awayMap (Scheme.Γ.map (Scheme.ιOpens U ≫ f).op) r) := by
subst e
refine (hP.cancel_right_isIso _
(Scheme.Γ.mapIso (Scheme.restrictRestrictComm _ _ _).op).inv).symm.trans ?_
haveI : IsAffine _ := hU
rw [← hP.basicOpen_iff_localization, iff_iff_eq]
congr 1
simp only [Functor.mapIso_inv, Iso.op_inv, ← Functor.map_comp, ← op_comp, morphismRestrict_comp]
rw [← Category.assoc]
congr 3
rw [← cancel_mono (Scheme.ιOpens _), Category.assoc, Scheme.restrictRestrictComm,
IsOpenImmersion.isoOfRangeEq_inv_fac, morphismRestrict_ι]
#align ring_hom.respects_iso.of_restrict_morphism_restrict_iff RingHom.RespectsIso.ofRestrict_morphismRestrict_iff
| Mathlib/AlgebraicGeometry/Morphisms/RingHomProperties.lean | 105 | 123 | theorem StableUnderBaseChange.Γ_pullback_fst (hP : StableUnderBaseChange @P) (hP' : RespectsIso @P)
{X Y S : Scheme} [IsAffine X] [IsAffine Y] [IsAffine S] (f : X ⟶ S) (g : Y ⟶ S)
(H : P (Scheme.Γ.map g.op)) : P (Scheme.Γ.map (pullback.fst : pullback f g ⟶ _).op) := by |
-- Porting note (#11224): change `rw` to `erw`
erw [← PreservesPullback.iso_inv_fst AffineScheme.forgetToScheme (AffineScheme.ofHom f)
(AffineScheme.ofHom g)]
rw [op_comp, Functor.map_comp, hP'.cancel_right_isIso, AffineScheme.forgetToScheme_map]
have :=
_root_.congr_arg Quiver.Hom.unop
(PreservesPullback.iso_hom_fst AffineScheme.Γ.rightOp (AffineScheme.ofHom f)
(AffineScheme.ofHom g))
simp only [Quiver.Hom.unop_op, Functor.rightOp_map, unop_comp] at this
delta AffineScheme.Γ at this
simp only [Quiver.Hom.unop_op, Functor.comp_map, AffineScheme.forgetToScheme_map,
Functor.op_map] at this
rw [← this, hP'.cancel_right_isIso,
← pushoutIsoUnopPullback_inl_hom (Quiver.Hom.unop _) (Quiver.Hom.unop _),
hP'.cancel_right_isIso]
exact hP.pushout_inl _ hP' _ _ H
| 16 | 8,886,110.520508 | 2 | 2 | 6 | 1,934 |
import Mathlib.AlgebraicGeometry.Morphisms.Basic
import Mathlib.RingTheory.LocalProperties
#align_import algebraic_geometry.morphisms.ring_hom_properties from "leanprover-community/mathlib"@"d39590fc8728fbf6743249802486f8c91ffe07bc"
-- Explicit universe annotations were used in this file to improve perfomance #12737
universe u
open CategoryTheory Opposite TopologicalSpace CategoryTheory.Limits AlgebraicGeometry
variable (P : ∀ {R S : Type u} [CommRing R] [CommRing S], (R →+* S) → Prop)
namespace AlgebraicGeometry
def sourceAffineLocally : AffineTargetMorphismProperty := fun X _ f _ =>
∀ U : X.affineOpens, P (Scheme.Γ.map (X.ofRestrict U.1.openEmbedding ≫ f).op)
#align algebraic_geometry.source_affine_locally AlgebraicGeometry.sourceAffineLocally
abbrev affineLocally : MorphismProperty Scheme.{u} :=
targetAffineLocally (sourceAffineLocally @P)
#align algebraic_geometry.affine_locally AlgebraicGeometry.affineLocally
variable {P}
| Mathlib/AlgebraicGeometry/Morphisms/RingHomProperties.lean | 145 | 156 | theorem sourceAffineLocally_respectsIso (h₁ : RingHom.RespectsIso @P) :
(sourceAffineLocally @P).toProperty.RespectsIso := by |
apply AffineTargetMorphismProperty.respectsIso_mk
· introv H U
rw [← h₁.cancel_right_isIso _ (Scheme.Γ.map (Scheme.restrictMapIso e.inv U.1).hom.op), ←
Functor.map_comp, ← op_comp]
convert H ⟨_, U.prop.map_isIso e.inv⟩ using 3
rw [IsOpenImmersion.isoOfRangeEq_hom_fac_assoc, Category.assoc,
e.inv_hom_id_assoc]
· introv H U
rw [← Category.assoc, op_comp, Functor.map_comp, h₁.cancel_left_isIso]
exact H U
| 10 | 22,026.465795 | 2 | 2 | 6 | 1,934 |
import Mathlib.AlgebraicGeometry.Morphisms.Basic
import Mathlib.RingTheory.LocalProperties
#align_import algebraic_geometry.morphisms.ring_hom_properties from "leanprover-community/mathlib"@"d39590fc8728fbf6743249802486f8c91ffe07bc"
-- Explicit universe annotations were used in this file to improve perfomance #12737
universe u
open CategoryTheory Opposite TopologicalSpace CategoryTheory.Limits AlgebraicGeometry
variable (P : ∀ {R S : Type u} [CommRing R] [CommRing S], (R →+* S) → Prop)
namespace AlgebraicGeometry
def sourceAffineLocally : AffineTargetMorphismProperty := fun X _ f _ =>
∀ U : X.affineOpens, P (Scheme.Γ.map (X.ofRestrict U.1.openEmbedding ≫ f).op)
#align algebraic_geometry.source_affine_locally AlgebraicGeometry.sourceAffineLocally
abbrev affineLocally : MorphismProperty Scheme.{u} :=
targetAffineLocally (sourceAffineLocally @P)
#align algebraic_geometry.affine_locally AlgebraicGeometry.affineLocally
variable {P}
theorem sourceAffineLocally_respectsIso (h₁ : RingHom.RespectsIso @P) :
(sourceAffineLocally @P).toProperty.RespectsIso := by
apply AffineTargetMorphismProperty.respectsIso_mk
· introv H U
rw [← h₁.cancel_right_isIso _ (Scheme.Γ.map (Scheme.restrictMapIso e.inv U.1).hom.op), ←
Functor.map_comp, ← op_comp]
convert H ⟨_, U.prop.map_isIso e.inv⟩ using 3
rw [IsOpenImmersion.isoOfRangeEq_hom_fac_assoc, Category.assoc,
e.inv_hom_id_assoc]
· introv H U
rw [← Category.assoc, op_comp, Functor.map_comp, h₁.cancel_left_isIso]
exact H U
#align algebraic_geometry.source_affine_locally_respects_iso AlgebraicGeometry.sourceAffineLocally_respectsIso
theorem affineLocally_respectsIso (h : RingHom.RespectsIso @P) : (affineLocally @P).RespectsIso :=
targetAffineLocally_respectsIso (sourceAffineLocally_respectsIso h)
#align algebraic_geometry.affine_locally_respects_iso AlgebraicGeometry.affineLocally_respectsIso
| Mathlib/AlgebraicGeometry/Morphisms/RingHomProperties.lean | 163 | 205 | theorem affineLocally_iff_affineOpens_le
(hP : RingHom.RespectsIso @P) {X Y : Scheme.{u}} (f : X ⟶ Y) :
affineLocally.{u} (@P) f ↔
∀ (U : Y.affineOpens) (V : X.affineOpens) (e : V.1 ≤ (Opens.map f.1.base).obj U.1),
P (Scheme.Hom.appLe f e) := by |
apply forall_congr'
intro U
delta sourceAffineLocally
simp_rw [op_comp, Scheme.Γ.map_comp, Γ_map_morphismRestrict, Category.assoc, Scheme.Γ_map_op,
hP.cancel_left_isIso (Y.presheaf.map (eqToHom _).op)]
constructor
· intro H V e
let U' := (Opens.map f.val.base).obj U.1
have e'' : (Scheme.Hom.opensFunctor (X.ofRestrict U'.openEmbedding)).obj
(X.ofRestrict U'.openEmbedding⁻¹ᵁ V) = V := by
ext1; refine Set.image_preimage_eq_inter_range.trans (Set.inter_eq_left.mpr ?_)
erw [Subtype.range_val]
exact e
have h : X.ofRestrict U'.openEmbedding ⁻¹ᵁ ↑V ∈ Scheme.affineOpens (X.restrict _) := by
apply (X.ofRestrict U'.openEmbedding).isAffineOpen_iff_of_isOpenImmersion.mp
-- Porting note: was convert V.2
rw [e'']
convert V.2
have := H ⟨(Opens.map (X.ofRestrict U'.openEmbedding).1.base).obj V.1, h⟩
rw [← hP.cancel_right_isIso _ (X.presheaf.map (eqToHom _)), Category.assoc,
← X.presheaf.map_comp]
· dsimp; convert this using 1
congr 1
rw [X.presheaf.map_comp]
swap
· dsimp only [Functor.op, unop_op]
rw [Opens.openEmbedding_obj_top]
congr 1
exact e''.symm
· simp only [Scheme.ofRestrict_val_c_app, Scheme.restrict_presheaf_map, ← X.presheaf.map_comp]
congr 1
· intro H V
specialize H ⟨_, V.2.imageIsOpenImmersion (X.ofRestrict _)⟩ (Subtype.coe_image_subset _ _)
rw [← hP.cancel_right_isIso _ (X.presheaf.map (eqToHom _)), Category.assoc]
· convert H
simp only [Scheme.ofRestrict_val_c_app, Scheme.restrict_presheaf_map, ← X.presheaf.map_comp]
congr 1
· dsimp only [Functor.op, unop_op]; rw [Opens.openEmbedding_obj_top]
| 38 | 31,855,931,757,113,756 | 2 | 2 | 6 | 1,934 |
import Mathlib.Algebra.Group.Pi.Basic
import Mathlib.Order.Interval.Set.Basic
import Mathlib.Order.Interval.Set.UnorderedInterval
import Mathlib.Data.Set.Lattice
#align_import data.set.intervals.pi from "leanprover-community/mathlib"@"e4bc74cbaf429d706cb9140902f7ca6c431e75a4"
-- Porting note: Added, since dot notation no longer works on `Function.update`
open Function
variable {ι : Type*} {α : ι → Type*}
namespace Set
section PiPreorder
variable [∀ i, Preorder (α i)] (x y : ∀ i, α i)
@[simp]
theorem pi_univ_Ici : (pi univ fun i ↦ Ici (x i)) = Ici x :=
ext fun y ↦ by simp [Pi.le_def]
#align set.pi_univ_Ici Set.pi_univ_Ici
@[simp]
theorem pi_univ_Iic : (pi univ fun i ↦ Iic (x i)) = Iic x :=
ext fun y ↦ by simp [Pi.le_def]
#align set.pi_univ_Iic Set.pi_univ_Iic
@[simp]
theorem pi_univ_Icc : (pi univ fun i ↦ Icc (x i) (y i)) = Icc x y :=
ext fun y ↦ by simp [Pi.le_def, forall_and]
#align set.pi_univ_Icc Set.pi_univ_Icc
theorem piecewise_mem_Icc {s : Set ι} [∀ j, Decidable (j ∈ s)] {f₁ f₂ g₁ g₂ : ∀ i, α i}
(h₁ : ∀ i ∈ s, f₁ i ∈ Icc (g₁ i) (g₂ i)) (h₂ : ∀ i ∉ s, f₂ i ∈ Icc (g₁ i) (g₂ i)) :
s.piecewise f₁ f₂ ∈ Icc g₁ g₂ :=
⟨le_piecewise (fun i hi ↦ (h₁ i hi).1) fun i hi ↦ (h₂ i hi).1,
piecewise_le (fun i hi ↦ (h₁ i hi).2) fun i hi ↦ (h₂ i hi).2⟩
#align set.piecewise_mem_Icc Set.piecewise_mem_Icc
theorem piecewise_mem_Icc' {s : Set ι} [∀ j, Decidable (j ∈ s)] {f₁ f₂ g₁ g₂ : ∀ i, α i}
(h₁ : f₁ ∈ Icc g₁ g₂) (h₂ : f₂ ∈ Icc g₁ g₂) : s.piecewise f₁ f₂ ∈ Icc g₁ g₂ :=
piecewise_mem_Icc (fun _ _ ↦ ⟨h₁.1 _, h₁.2 _⟩) fun _ _ ↦ ⟨h₂.1 _, h₂.2 _⟩
#align set.piecewise_mem_Icc' Set.piecewise_mem_Icc'
variable [DecidableEq ι]
open Function (update)
| Mathlib/Order/Interval/Set/Pi.lean | 90 | 98 | theorem pi_univ_Ioc_update_left {x y : ∀ i, α i} {i₀ : ι} {m : α i₀} (hm : x i₀ ≤ m) :
(pi univ fun i ↦ Ioc (update x i₀ m i) (y i)) =
{ z | m < z i₀ } ∩ pi univ fun i ↦ Ioc (x i) (y i) := by |
have : Ioc m (y i₀) = Ioi m ∩ Ioc (x i₀) (y i₀) := by
rw [← Ioi_inter_Iic, ← Ioi_inter_Iic, ← inter_assoc,
inter_eq_self_of_subset_left (Ioi_subset_Ioi hm)]
simp_rw [univ_pi_update i₀ _ _ fun i z ↦ Ioc z (y i), ← pi_inter_compl ({i₀} : Set ι),
singleton_pi', ← inter_assoc, this]
rfl
| 6 | 403.428793 | 2 | 2 | 3 | 1,935 |
import Mathlib.Algebra.Group.Pi.Basic
import Mathlib.Order.Interval.Set.Basic
import Mathlib.Order.Interval.Set.UnorderedInterval
import Mathlib.Data.Set.Lattice
#align_import data.set.intervals.pi from "leanprover-community/mathlib"@"e4bc74cbaf429d706cb9140902f7ca6c431e75a4"
-- Porting note: Added, since dot notation no longer works on `Function.update`
open Function
variable {ι : Type*} {α : ι → Type*}
namespace Set
section PiPreorder
variable [∀ i, Preorder (α i)] (x y : ∀ i, α i)
@[simp]
theorem pi_univ_Ici : (pi univ fun i ↦ Ici (x i)) = Ici x :=
ext fun y ↦ by simp [Pi.le_def]
#align set.pi_univ_Ici Set.pi_univ_Ici
@[simp]
theorem pi_univ_Iic : (pi univ fun i ↦ Iic (x i)) = Iic x :=
ext fun y ↦ by simp [Pi.le_def]
#align set.pi_univ_Iic Set.pi_univ_Iic
@[simp]
theorem pi_univ_Icc : (pi univ fun i ↦ Icc (x i) (y i)) = Icc x y :=
ext fun y ↦ by simp [Pi.le_def, forall_and]
#align set.pi_univ_Icc Set.pi_univ_Icc
theorem piecewise_mem_Icc {s : Set ι} [∀ j, Decidable (j ∈ s)] {f₁ f₂ g₁ g₂ : ∀ i, α i}
(h₁ : ∀ i ∈ s, f₁ i ∈ Icc (g₁ i) (g₂ i)) (h₂ : ∀ i ∉ s, f₂ i ∈ Icc (g₁ i) (g₂ i)) :
s.piecewise f₁ f₂ ∈ Icc g₁ g₂ :=
⟨le_piecewise (fun i hi ↦ (h₁ i hi).1) fun i hi ↦ (h₂ i hi).1,
piecewise_le (fun i hi ↦ (h₁ i hi).2) fun i hi ↦ (h₂ i hi).2⟩
#align set.piecewise_mem_Icc Set.piecewise_mem_Icc
theorem piecewise_mem_Icc' {s : Set ι} [∀ j, Decidable (j ∈ s)] {f₁ f₂ g₁ g₂ : ∀ i, α i}
(h₁ : f₁ ∈ Icc g₁ g₂) (h₂ : f₂ ∈ Icc g₁ g₂) : s.piecewise f₁ f₂ ∈ Icc g₁ g₂ :=
piecewise_mem_Icc (fun _ _ ↦ ⟨h₁.1 _, h₁.2 _⟩) fun _ _ ↦ ⟨h₂.1 _, h₂.2 _⟩
#align set.piecewise_mem_Icc' Set.piecewise_mem_Icc'
variable [DecidableEq ι]
open Function (update)
theorem pi_univ_Ioc_update_left {x y : ∀ i, α i} {i₀ : ι} {m : α i₀} (hm : x i₀ ≤ m) :
(pi univ fun i ↦ Ioc (update x i₀ m i) (y i)) =
{ z | m < z i₀ } ∩ pi univ fun i ↦ Ioc (x i) (y i) := by
have : Ioc m (y i₀) = Ioi m ∩ Ioc (x i₀) (y i₀) := by
rw [← Ioi_inter_Iic, ← Ioi_inter_Iic, ← inter_assoc,
inter_eq_self_of_subset_left (Ioi_subset_Ioi hm)]
simp_rw [univ_pi_update i₀ _ _ fun i z ↦ Ioc z (y i), ← pi_inter_compl ({i₀} : Set ι),
singleton_pi', ← inter_assoc, this]
rfl
#align set.pi_univ_Ioc_update_left Set.pi_univ_Ioc_update_left
| Mathlib/Order/Interval/Set/Pi.lean | 101 | 109 | theorem pi_univ_Ioc_update_right {x y : ∀ i, α i} {i₀ : ι} {m : α i₀} (hm : m ≤ y i₀) :
(pi univ fun i ↦ Ioc (x i) (update y i₀ m i)) =
{ z | z i₀ ≤ m } ∩ pi univ fun i ↦ Ioc (x i) (y i) := by |
have : Ioc (x i₀) m = Iic m ∩ Ioc (x i₀) (y i₀) := by
rw [← Ioi_inter_Iic, ← Ioi_inter_Iic, inter_left_comm,
inter_eq_self_of_subset_left (Iic_subset_Iic.2 hm)]
simp_rw [univ_pi_update i₀ y m fun i z ↦ Ioc (x i) z, ← pi_inter_compl ({i₀} : Set ι),
singleton_pi', ← inter_assoc, this]
rfl
| 6 | 403.428793 | 2 | 2 | 3 | 1,935 |
import Mathlib.Algebra.Group.Pi.Basic
import Mathlib.Order.Interval.Set.Basic
import Mathlib.Order.Interval.Set.UnorderedInterval
import Mathlib.Data.Set.Lattice
#align_import data.set.intervals.pi from "leanprover-community/mathlib"@"e4bc74cbaf429d706cb9140902f7ca6c431e75a4"
-- Porting note: Added, since dot notation no longer works on `Function.update`
open Function
variable {ι : Type*} {α : ι → Type*}
namespace Set
section PiPreorder
variable [∀ i, Preorder (α i)] (x y : ∀ i, α i)
@[simp]
theorem pi_univ_Ici : (pi univ fun i ↦ Ici (x i)) = Ici x :=
ext fun y ↦ by simp [Pi.le_def]
#align set.pi_univ_Ici Set.pi_univ_Ici
@[simp]
theorem pi_univ_Iic : (pi univ fun i ↦ Iic (x i)) = Iic x :=
ext fun y ↦ by simp [Pi.le_def]
#align set.pi_univ_Iic Set.pi_univ_Iic
@[simp]
theorem pi_univ_Icc : (pi univ fun i ↦ Icc (x i) (y i)) = Icc x y :=
ext fun y ↦ by simp [Pi.le_def, forall_and]
#align set.pi_univ_Icc Set.pi_univ_Icc
theorem piecewise_mem_Icc {s : Set ι} [∀ j, Decidable (j ∈ s)] {f₁ f₂ g₁ g₂ : ∀ i, α i}
(h₁ : ∀ i ∈ s, f₁ i ∈ Icc (g₁ i) (g₂ i)) (h₂ : ∀ i ∉ s, f₂ i ∈ Icc (g₁ i) (g₂ i)) :
s.piecewise f₁ f₂ ∈ Icc g₁ g₂ :=
⟨le_piecewise (fun i hi ↦ (h₁ i hi).1) fun i hi ↦ (h₂ i hi).1,
piecewise_le (fun i hi ↦ (h₁ i hi).2) fun i hi ↦ (h₂ i hi).2⟩
#align set.piecewise_mem_Icc Set.piecewise_mem_Icc
theorem piecewise_mem_Icc' {s : Set ι} [∀ j, Decidable (j ∈ s)] {f₁ f₂ g₁ g₂ : ∀ i, α i}
(h₁ : f₁ ∈ Icc g₁ g₂) (h₂ : f₂ ∈ Icc g₁ g₂) : s.piecewise f₁ f₂ ∈ Icc g₁ g₂ :=
piecewise_mem_Icc (fun _ _ ↦ ⟨h₁.1 _, h₁.2 _⟩) fun _ _ ↦ ⟨h₂.1 _, h₂.2 _⟩
#align set.piecewise_mem_Icc' Set.piecewise_mem_Icc'
variable [DecidableEq ι]
open Function (update)
theorem pi_univ_Ioc_update_left {x y : ∀ i, α i} {i₀ : ι} {m : α i₀} (hm : x i₀ ≤ m) :
(pi univ fun i ↦ Ioc (update x i₀ m i) (y i)) =
{ z | m < z i₀ } ∩ pi univ fun i ↦ Ioc (x i) (y i) := by
have : Ioc m (y i₀) = Ioi m ∩ Ioc (x i₀) (y i₀) := by
rw [← Ioi_inter_Iic, ← Ioi_inter_Iic, ← inter_assoc,
inter_eq_self_of_subset_left (Ioi_subset_Ioi hm)]
simp_rw [univ_pi_update i₀ _ _ fun i z ↦ Ioc z (y i), ← pi_inter_compl ({i₀} : Set ι),
singleton_pi', ← inter_assoc, this]
rfl
#align set.pi_univ_Ioc_update_left Set.pi_univ_Ioc_update_left
theorem pi_univ_Ioc_update_right {x y : ∀ i, α i} {i₀ : ι} {m : α i₀} (hm : m ≤ y i₀) :
(pi univ fun i ↦ Ioc (x i) (update y i₀ m i)) =
{ z | z i₀ ≤ m } ∩ pi univ fun i ↦ Ioc (x i) (y i) := by
have : Ioc (x i₀) m = Iic m ∩ Ioc (x i₀) (y i₀) := by
rw [← Ioi_inter_Iic, ← Ioi_inter_Iic, inter_left_comm,
inter_eq_self_of_subset_left (Iic_subset_Iic.2 hm)]
simp_rw [univ_pi_update i₀ y m fun i z ↦ Ioc (x i) z, ← pi_inter_compl ({i₀} : Set ι),
singleton_pi', ← inter_assoc, this]
rfl
#align set.pi_univ_Ioc_update_right Set.pi_univ_Ioc_update_right
| Mathlib/Order/Interval/Set/Pi.lean | 112 | 118 | theorem disjoint_pi_univ_Ioc_update_left_right {x y : ∀ i, α i} {i₀ : ι} {m : α i₀} :
Disjoint (pi univ fun i ↦ Ioc (x i) (update y i₀ m i))
(pi univ fun i ↦ Ioc (update x i₀ m i) (y i)) := by |
rw [disjoint_left]
rintro z h₁ h₂
refine (h₁ i₀ (mem_univ _)).2.not_lt ?_
simpa only [Function.update_same] using (h₂ i₀ (mem_univ _)).1
| 4 | 54.59815 | 2 | 2 | 3 | 1,935 |
import Mathlib.Algebra.Module.MinimalAxioms
import Mathlib.Topology.ContinuousFunction.Algebra
import Mathlib.Analysis.Normed.Order.Lattice
import Mathlib.Analysis.NormedSpace.OperatorNorm.Basic
import Mathlib.Analysis.NormedSpace.Star.Basic
import Mathlib.Analysis.NormedSpace.ContinuousLinearMap
import Mathlib.Topology.Bornology.BoundedOperation
#align_import topology.continuous_function.bounded from "leanprover-community/mathlib"@"5dc275ec639221ca4d5f56938eb966f6ad9bc89f"
noncomputable section
open scoped Classical
open Topology Bornology NNReal uniformity UniformConvergence
open Set Filter Metric Function
universe u v w
variable {F : Type*} {α : Type u} {β : Type v} {γ : Type w}
structure BoundedContinuousFunction (α : Type u) (β : Type v) [TopologicalSpace α]
[PseudoMetricSpace β] extends ContinuousMap α β : Type max u v where
map_bounded' : ∃ C, ∀ x y, dist (toFun x) (toFun y) ≤ C
#align bounded_continuous_function BoundedContinuousFunction
scoped[BoundedContinuousFunction] infixr:25 " →ᵇ " => BoundedContinuousFunction
section
-- Porting note: Changed type of `α β` from `Type*` to `outParam Type*`.
class BoundedContinuousMapClass (F : Type*) (α β : outParam Type*) [TopologicalSpace α]
[PseudoMetricSpace β] [FunLike F α β] extends ContinuousMapClass F α β : Prop where
map_bounded (f : F) : ∃ C, ∀ x y, dist (f x) (f y) ≤ C
#align bounded_continuous_map_class BoundedContinuousMapClass
end
export BoundedContinuousMapClass (map_bounded)
namespace BoundedContinuousFunction
section Basics
variable [TopologicalSpace α] [PseudoMetricSpace β] [PseudoMetricSpace γ]
variable {f g : α →ᵇ β} {x : α} {C : ℝ}
instance instFunLike : FunLike (α →ᵇ β) α β where
coe f := f.toFun
coe_injective' f g h := by
obtain ⟨⟨_, _⟩, _⟩ := f
obtain ⟨⟨_, _⟩, _⟩ := g
congr
instance instBoundedContinuousMapClass : BoundedContinuousMapClass (α →ᵇ β) α β where
map_continuous f := f.continuous_toFun
map_bounded f := f.map_bounded'
instance instCoeTC [FunLike F α β] [BoundedContinuousMapClass F α β] : CoeTC F (α →ᵇ β) :=
⟨fun f =>
{ toFun := f
continuous_toFun := map_continuous f
map_bounded' := map_bounded f }⟩
@[simp]
theorem coe_to_continuous_fun (f : α →ᵇ β) : (f.toContinuousMap : α → β) = f := rfl
#align bounded_continuous_function.coe_to_continuous_fun BoundedContinuousFunction.coe_to_continuous_fun
def Simps.apply (h : α →ᵇ β) : α → β := h
#align bounded_continuous_function.simps.apply BoundedContinuousFunction.Simps.apply
initialize_simps_projections BoundedContinuousFunction (toContinuousMap_toFun → apply)
protected theorem bounded (f : α →ᵇ β) : ∃ C, ∀ x y : α, dist (f x) (f y) ≤ C :=
f.map_bounded'
#align bounded_continuous_function.bounded BoundedContinuousFunction.bounded
protected theorem continuous (f : α →ᵇ β) : Continuous f :=
f.toContinuousMap.continuous
#align bounded_continuous_function.continuous BoundedContinuousFunction.continuous
@[ext]
theorem ext (h : ∀ x, f x = g x) : f = g :=
DFunLike.ext _ _ h
#align bounded_continuous_function.ext BoundedContinuousFunction.ext
theorem isBounded_range (f : α →ᵇ β) : IsBounded (range f) :=
isBounded_range_iff.2 f.bounded
#align bounded_continuous_function.bounded_range BoundedContinuousFunction.isBounded_range
theorem isBounded_image (f : α →ᵇ β) (s : Set α) : IsBounded (f '' s) :=
f.isBounded_range.subset <| image_subset_range _ _
#align bounded_continuous_function.bounded_image BoundedContinuousFunction.isBounded_image
theorem eq_of_empty [h : IsEmpty α] (f g : α →ᵇ β) : f = g :=
ext <| h.elim
#align bounded_continuous_function.eq_of_empty BoundedContinuousFunction.eq_of_empty
def mkOfBound (f : C(α, β)) (C : ℝ) (h : ∀ x y : α, dist (f x) (f y) ≤ C) : α →ᵇ β :=
⟨f, ⟨C, h⟩⟩
#align bounded_continuous_function.mk_of_bound BoundedContinuousFunction.mkOfBound
@[simp]
theorem mkOfBound_coe {f} {C} {h} : (mkOfBound f C h : α → β) = (f : α → β) := rfl
#align bounded_continuous_function.mk_of_bound_coe BoundedContinuousFunction.mkOfBound_coe
def mkOfCompact [CompactSpace α] (f : C(α, β)) : α →ᵇ β :=
⟨f, isBounded_range_iff.1 (isCompact_range f.continuous).isBounded⟩
#align bounded_continuous_function.mk_of_compact BoundedContinuousFunction.mkOfCompact
@[simp]
theorem mkOfCompact_apply [CompactSpace α] (f : C(α, β)) (a : α) : mkOfCompact f a = f a := rfl
#align bounded_continuous_function.mk_of_compact_apply BoundedContinuousFunction.mkOfCompact_apply
@[simps]
def mkOfDiscrete [DiscreteTopology α] (f : α → β) (C : ℝ) (h : ∀ x y : α, dist (f x) (f y) ≤ C) :
α →ᵇ β :=
⟨⟨f, continuous_of_discreteTopology⟩, ⟨C, h⟩⟩
#align bounded_continuous_function.mk_of_discrete BoundedContinuousFunction.mkOfDiscrete
instance instDist : Dist (α →ᵇ β) :=
⟨fun f g => sInf { C | 0 ≤ C ∧ ∀ x : α, dist (f x) (g x) ≤ C }⟩
theorem dist_eq : dist f g = sInf { C | 0 ≤ C ∧ ∀ x : α, dist (f x) (g x) ≤ C } := rfl
#align bounded_continuous_function.dist_eq BoundedContinuousFunction.dist_eq
| Mathlib/Topology/ContinuousFunction/Bounded.lean | 158 | 162 | theorem dist_set_exists : ∃ C, 0 ≤ C ∧ ∀ x : α, dist (f x) (g x) ≤ C := by |
rcases isBounded_iff.1 (f.isBounded_range.union g.isBounded_range) with ⟨C, hC⟩
refine ⟨max 0 C, le_max_left _ _, fun x => (hC ?_ ?_).trans (le_max_right _ _)⟩
<;> [left; right]
<;> apply mem_range_self
| 4 | 54.59815 | 2 | 2 | 1 | 1,936 |
import Mathlib.MeasureTheory.Measure.Doubling
import Mathlib.MeasureTheory.Covering.Vitali
import Mathlib.MeasureTheory.Covering.Differentiation
#align_import measure_theory.covering.density_theorem from "leanprover-community/mathlib"@"5f6e827d81dfbeb6151d7016586ceeb0099b9655"
noncomputable section
open Set Filter Metric MeasureTheory TopologicalSpace
open scoped NNReal Topology
namespace IsUnifLocDoublingMeasure
variable {α : Type*} [MetricSpace α] [MeasurableSpace α] (μ : Measure α)
[IsUnifLocDoublingMeasure μ]
section
variable [SecondCountableTopology α] [BorelSpace α] [IsLocallyFiniteMeasure μ]
open scoped Topology
irreducible_def vitaliFamily (K : ℝ) : VitaliFamily μ := by
let R := scalingScaleOf μ (max (4 * K + 3) 3)
have Rpos : 0 < R := scalingScaleOf_pos _ _
have A : ∀ x : α, ∃ᶠ r in 𝓝[>] (0 : ℝ),
μ (closedBall x (3 * r)) ≤ scalingConstantOf μ (max (4 * K + 3) 3) * μ (closedBall x r) := by
intro x
apply frequently_iff.2 fun {U} hU => ?_
obtain ⟨ε, εpos, hε⟩ := mem_nhdsWithin_Ioi_iff_exists_Ioc_subset.1 hU
refine ⟨min ε R, hε ⟨lt_min εpos Rpos, min_le_left _ _⟩, ?_⟩
exact measure_mul_le_scalingConstantOf_mul μ
⟨zero_lt_three, le_max_right _ _⟩ (min_le_right _ _)
exact (Vitali.vitaliFamily μ (scalingConstantOf μ (max (4 * K + 3) 3)) A).enlarge (R / 4)
(by linarith)
#align is_unif_loc_doubling_measure.vitali_family IsUnifLocDoublingMeasure.vitaliFamily
| Mathlib/MeasureTheory/Covering/DensityTheorem.lean | 71 | 109 | theorem closedBall_mem_vitaliFamily_of_dist_le_mul {K : ℝ} {x y : α} {r : ℝ} (h : dist x y ≤ K * r)
(rpos : 0 < r) : closedBall y r ∈ (vitaliFamily μ K).setsAt x := by |
let R := scalingScaleOf μ (max (4 * K + 3) 3)
simp only [vitaliFamily, VitaliFamily.enlarge, Vitali.vitaliFamily, mem_union, mem_setOf_eq,
isClosed_ball, true_and_iff, (nonempty_ball.2 rpos).mono ball_subset_interior_closedBall,
measurableSet_closedBall]
/- The measure is doubling on scales smaller than `R`. Therefore, we treat differently small
and large balls. For large balls, this follows directly from the enlargement we used in the
definition. -/
by_cases H : closedBall y r ⊆ closedBall x (R / 4)
swap; · exact Or.inr H
left
/- For small balls, there is the difficulty that `r` could be large but still the ball could be
small, if the annulus `{y | ε ≤ dist y x ≤ R/4}` is empty. We split between the cases `r ≤ R`
and `r > R`, and use the doubling for the former and rough estimates for the latter. -/
rcases le_or_lt r R with (hr | hr)
· refine ⟨(K + 1) * r, ?_⟩
constructor
· apply closedBall_subset_closedBall'
rw [dist_comm]
linarith
· have I1 : closedBall x (3 * ((K + 1) * r)) ⊆ closedBall y ((4 * K + 3) * r) := by
apply closedBall_subset_closedBall'
linarith
have I2 : closedBall y ((4 * K + 3) * r) ⊆ closedBall y (max (4 * K + 3) 3 * r) := by
apply closedBall_subset_closedBall
exact mul_le_mul_of_nonneg_right (le_max_left _ _) rpos.le
apply (measure_mono (I1.trans I2)).trans
exact measure_mul_le_scalingConstantOf_mul _
⟨zero_lt_three.trans_le (le_max_right _ _), le_rfl⟩ hr
· refine ⟨R / 4, H, ?_⟩
have : closedBall x (3 * (R / 4)) ⊆ closedBall y r := by
apply closedBall_subset_closedBall'
have A : y ∈ closedBall y r := mem_closedBall_self rpos.le
have B := mem_closedBall'.1 (H A)
linarith
apply (measure_mono this).trans _
refine le_mul_of_one_le_left (zero_le _) ?_
exact ENNReal.one_le_coe_iff.2 (le_max_right _ _)
| 37 | 11,719,142,372,802,612 | 2 | 2 | 2 | 1,937 |
import Mathlib.MeasureTheory.Measure.Doubling
import Mathlib.MeasureTheory.Covering.Vitali
import Mathlib.MeasureTheory.Covering.Differentiation
#align_import measure_theory.covering.density_theorem from "leanprover-community/mathlib"@"5f6e827d81dfbeb6151d7016586ceeb0099b9655"
noncomputable section
open Set Filter Metric MeasureTheory TopologicalSpace
open scoped NNReal Topology
namespace IsUnifLocDoublingMeasure
variable {α : Type*} [MetricSpace α] [MeasurableSpace α] (μ : Measure α)
[IsUnifLocDoublingMeasure μ]
section
variable [SecondCountableTopology α] [BorelSpace α] [IsLocallyFiniteMeasure μ]
open scoped Topology
irreducible_def vitaliFamily (K : ℝ) : VitaliFamily μ := by
let R := scalingScaleOf μ (max (4 * K + 3) 3)
have Rpos : 0 < R := scalingScaleOf_pos _ _
have A : ∀ x : α, ∃ᶠ r in 𝓝[>] (0 : ℝ),
μ (closedBall x (3 * r)) ≤ scalingConstantOf μ (max (4 * K + 3) 3) * μ (closedBall x r) := by
intro x
apply frequently_iff.2 fun {U} hU => ?_
obtain ⟨ε, εpos, hε⟩ := mem_nhdsWithin_Ioi_iff_exists_Ioc_subset.1 hU
refine ⟨min ε R, hε ⟨lt_min εpos Rpos, min_le_left _ _⟩, ?_⟩
exact measure_mul_le_scalingConstantOf_mul μ
⟨zero_lt_three, le_max_right _ _⟩ (min_le_right _ _)
exact (Vitali.vitaliFamily μ (scalingConstantOf μ (max (4 * K + 3) 3)) A).enlarge (R / 4)
(by linarith)
#align is_unif_loc_doubling_measure.vitali_family IsUnifLocDoublingMeasure.vitaliFamily
theorem closedBall_mem_vitaliFamily_of_dist_le_mul {K : ℝ} {x y : α} {r : ℝ} (h : dist x y ≤ K * r)
(rpos : 0 < r) : closedBall y r ∈ (vitaliFamily μ K).setsAt x := by
let R := scalingScaleOf μ (max (4 * K + 3) 3)
simp only [vitaliFamily, VitaliFamily.enlarge, Vitali.vitaliFamily, mem_union, mem_setOf_eq,
isClosed_ball, true_and_iff, (nonempty_ball.2 rpos).mono ball_subset_interior_closedBall,
measurableSet_closedBall]
by_cases H : closedBall y r ⊆ closedBall x (R / 4)
swap; · exact Or.inr H
left
rcases le_or_lt r R with (hr | hr)
· refine ⟨(K + 1) * r, ?_⟩
constructor
· apply closedBall_subset_closedBall'
rw [dist_comm]
linarith
· have I1 : closedBall x (3 * ((K + 1) * r)) ⊆ closedBall y ((4 * K + 3) * r) := by
apply closedBall_subset_closedBall'
linarith
have I2 : closedBall y ((4 * K + 3) * r) ⊆ closedBall y (max (4 * K + 3) 3 * r) := by
apply closedBall_subset_closedBall
exact mul_le_mul_of_nonneg_right (le_max_left _ _) rpos.le
apply (measure_mono (I1.trans I2)).trans
exact measure_mul_le_scalingConstantOf_mul _
⟨zero_lt_three.trans_le (le_max_right _ _), le_rfl⟩ hr
· refine ⟨R / 4, H, ?_⟩
have : closedBall x (3 * (R / 4)) ⊆ closedBall y r := by
apply closedBall_subset_closedBall'
have A : y ∈ closedBall y r := mem_closedBall_self rpos.le
have B := mem_closedBall'.1 (H A)
linarith
apply (measure_mono this).trans _
refine le_mul_of_one_le_left (zero_le _) ?_
exact ENNReal.one_le_coe_iff.2 (le_max_right _ _)
#align is_unif_loc_doubling_measure.closed_ball_mem_vitali_family_of_dist_le_mul IsUnifLocDoublingMeasure.closedBall_mem_vitaliFamily_of_dist_le_mul
| Mathlib/MeasureTheory/Covering/DensityTheorem.lean | 112 | 132 | theorem tendsto_closedBall_filterAt {K : ℝ} {x : α} {ι : Type*} {l : Filter ι} (w : ι → α)
(δ : ι → ℝ) (δlim : Tendsto δ l (𝓝[>] 0)) (xmem : ∀ᶠ j in l, x ∈ closedBall (w j) (K * δ j)) :
Tendsto (fun j => closedBall (w j) (δ j)) l ((vitaliFamily μ K).filterAt x) := by |
refine (vitaliFamily μ K).tendsto_filterAt_iff.mpr ⟨?_, fun ε hε => ?_⟩
· filter_upwards [xmem, δlim self_mem_nhdsWithin] with j hj h'j
exact closedBall_mem_vitaliFamily_of_dist_le_mul μ hj h'j
· rcases l.eq_or_neBot with rfl | h
· simp
have hK : 0 ≤ K := by
rcases (xmem.and (δlim self_mem_nhdsWithin)).exists with ⟨j, hj, h'j⟩
have : 0 ≤ K * δ j := nonempty_closedBall.1 ⟨x, hj⟩
exact (mul_nonneg_iff_left_nonneg_of_pos (mem_Ioi.1 h'j)).1 this
have δpos := eventually_mem_of_tendsto_nhdsWithin δlim
replace δlim := tendsto_nhds_of_tendsto_nhdsWithin δlim
replace hK : 0 < K + 1 := by linarith
apply (((Metric.tendsto_nhds.mp δlim _ (div_pos hε hK)).and δpos).and xmem).mono
rintro j ⟨⟨hjε, hj₀ : 0 < δ j⟩, hx⟩ y hy
replace hjε : (K + 1) * δ j < ε := by
simpa [abs_eq_self.mpr hj₀.le] using (lt_div_iff' hK).mp hjε
simp only [mem_closedBall] at hx hy ⊢
linarith [dist_triangle_right y x (w j)]
| 18 | 65,659,969.137331 | 2 | 2 | 2 | 1,937 |
import Mathlib.Algebra.GroupPower.IterateHom
import Mathlib.Data.Set.Pointwise.SMul
import Mathlib.Dynamics.FixedPoints.Basic
#align_import data.set.pointwise.iterate from "leanprover-community/mathlib"@"9003f28797c0664a49e4179487267c494477d853"
open Pointwise
open Set Function
@[to_additive
"Let `n : ℤ` and `s` a subset of an additive commutative group `G` that is invariant
under preimage for the map `x ↦ n • x`. Then `s` is invariant under the pointwise action of
the additive subgroup of elements `g : G` such that `(n^j) • g = 0` for some `j : ℕ`.
(This additive subgroup is called the Prüfer subgroup when `G` is the `AddCircle` and `n` is
prime.)"]
| Mathlib/Data/Set/Pointwise/Iterate.lean | 31 | 42 | theorem smul_eq_self_of_preimage_zpow_eq_self {G : Type*} [CommGroup G] {n : ℤ} {s : Set G}
(hs : (fun x => x ^ n) ⁻¹' s = s) {g : G} {j : ℕ} (hg : g ^ n ^ j = 1) : g • s = s := by |
suffices ∀ {g' : G} (_ : g' ^ n ^ j = 1), g' • s ⊆ s by
refine le_antisymm (this hg) ?_
conv_lhs => rw [← smul_inv_smul g s]
replace hg : g⁻¹ ^ n ^ j = 1 := by rw [inv_zpow, hg, inv_one]
simpa only [le_eq_subset, set_smul_subset_set_smul_iff] using this hg
rw [(IsFixedPt.preimage_iterate hs j : (zpowGroupHom n)^[j] ⁻¹' s = s).symm]
rintro g' hg' - ⟨y, hy, rfl⟩
change (zpowGroupHom n)^[j] (g' * y) ∈ s
replace hg' : (zpowGroupHom n)^[j] g' = 1 := by simpa [zpowGroupHom]
rwa [iterate_map_mul, hg', one_mul]
| 10 | 22,026.465795 | 2 | 2 | 1 | 1,938 |
import Mathlib.Analysis.Convex.Basic
import Mathlib.Analysis.InnerProductSpace.Orthogonal
import Mathlib.Analysis.InnerProductSpace.Symmetric
import Mathlib.Analysis.NormedSpace.RCLike
import Mathlib.Analysis.RCLike.Lemmas
import Mathlib.Algebra.DirectSum.Decomposition
#align_import analysis.inner_product_space.projection from "leanprover-community/mathlib"@"0b7c740e25651db0ba63648fbae9f9d6f941e31b"
noncomputable section
open RCLike Real Filter
open LinearMap (ker range)
open Topology
variable {𝕜 E F : Type*} [RCLike 𝕜]
variable [NormedAddCommGroup E] [NormedAddCommGroup F]
variable [InnerProductSpace 𝕜 E] [InnerProductSpace ℝ F]
local notation "⟪" x ", " y "⟫" => @inner 𝕜 _ _ x y
local notation "absR" => abs
-- FIXME this monolithic proof causes a deterministic timeout with `-T50000`
-- It should be broken in a sequence of more manageable pieces,
-- perhaps with individual statements for the three steps below.
| Mathlib/Analysis/InnerProductSpace/Projection.lean | 70 | 177 | theorem exists_norm_eq_iInf_of_complete_convex {K : Set F} (ne : K.Nonempty) (h₁ : IsComplete K)
(h₂ : Convex ℝ K) : ∀ u : F, ∃ v ∈ K, ‖u - v‖ = ⨅ w : K, ‖u - w‖ := fun u => by
let δ := ⨅ w : K, ‖u - w‖
letI : Nonempty K := ne.to_subtype
have zero_le_δ : 0 ≤ δ := le_ciInf fun _ => norm_nonneg _
have δ_le : ∀ w : K, δ ≤ ‖u - w‖ := ciInf_le ⟨0, Set.forall_mem_range.2 fun _ => norm_nonneg _⟩
have δ_le' : ∀ w ∈ K, δ ≤ ‖u - w‖ := fun w hw => δ_le ⟨w, hw⟩
-- Step 1: since `δ` is the infimum, can find a sequence `w : ℕ → K` in `K`
-- such that `‖u - w n‖ < δ + 1 / (n + 1)` (which implies `‖u - w n‖ --> δ`);
-- maybe this should be a separate lemma
have exists_seq : ∃ w : ℕ → K, ∀ n, ‖u - w n‖ < δ + 1 / (n + 1) := by |
have hδ : ∀ n : ℕ, δ < δ + 1 / (n + 1) := fun n =>
lt_add_of_le_of_pos le_rfl Nat.one_div_pos_of_nat
have h := fun n => exists_lt_of_ciInf_lt (hδ n)
let w : ℕ → K := fun n => Classical.choose (h n)
exact ⟨w, fun n => Classical.choose_spec (h n)⟩
rcases exists_seq with ⟨w, hw⟩
have norm_tendsto : Tendsto (fun n => ‖u - w n‖) atTop (𝓝 δ) := by
have h : Tendsto (fun _ : ℕ => δ) atTop (𝓝 δ) := tendsto_const_nhds
have h' : Tendsto (fun n : ℕ => δ + 1 / (n + 1)) atTop (𝓝 δ) := by
convert h.add tendsto_one_div_add_atTop_nhds_zero_nat
simp only [add_zero]
exact tendsto_of_tendsto_of_tendsto_of_le_of_le h h' (fun x => δ_le _) fun x => le_of_lt (hw _)
-- Step 2: Prove that the sequence `w : ℕ → K` is a Cauchy sequence
have seq_is_cauchy : CauchySeq fun n => (w n : F) := by
rw [cauchySeq_iff_le_tendsto_0]
-- splits into three goals
let b := fun n : ℕ => 8 * δ * (1 / (n + 1)) + 4 * (1 / (n + 1)) * (1 / (n + 1))
use fun n => √(b n)
constructor
-- first goal : `∀ (n : ℕ), 0 ≤ √(b n)`
· intro n
exact sqrt_nonneg _
constructor
-- second goal : `∀ (n m N : ℕ), N ≤ n → N ≤ m → dist ↑(w n) ↑(w m) ≤ √(b N)`
· intro p q N hp hq
let wp := (w p : F)
let wq := (w q : F)
let a := u - wq
let b := u - wp
let half := 1 / (2 : ℝ)
let div := 1 / ((N : ℝ) + 1)
have :
4 * ‖u - half • (wq + wp)‖ * ‖u - half • (wq + wp)‖ + ‖wp - wq‖ * ‖wp - wq‖ =
2 * (‖a‖ * ‖a‖ + ‖b‖ * ‖b‖) :=
calc
4 * ‖u - half • (wq + wp)‖ * ‖u - half • (wq + wp)‖ + ‖wp - wq‖ * ‖wp - wq‖ =
2 * ‖u - half • (wq + wp)‖ * (2 * ‖u - half • (wq + wp)‖) + ‖wp - wq‖ * ‖wp - wq‖ :=
by ring
_ =
absR (2 : ℝ) * ‖u - half • (wq + wp)‖ * (absR (2 : ℝ) * ‖u - half • (wq + wp)‖) +
‖wp - wq‖ * ‖wp - wq‖ := by
rw [_root_.abs_of_nonneg]
exact zero_le_two
_ =
‖(2 : ℝ) • (u - half • (wq + wp))‖ * ‖(2 : ℝ) • (u - half • (wq + wp))‖ +
‖wp - wq‖ * ‖wp - wq‖ := by simp [norm_smul]
_ = ‖a + b‖ * ‖a + b‖ + ‖a - b‖ * ‖a - b‖ := by
rw [smul_sub, smul_smul, mul_one_div_cancel (_root_.two_ne_zero : (2 : ℝ) ≠ 0), ←
one_add_one_eq_two, add_smul]
simp only [one_smul]
have eq₁ : wp - wq = a - b := (sub_sub_sub_cancel_left _ _ _).symm
have eq₂ : u + u - (wq + wp) = a + b := by
show u + u - (wq + wp) = u - wq + (u - wp)
abel
rw [eq₁, eq₂]
_ = 2 * (‖a‖ * ‖a‖ + ‖b‖ * ‖b‖) := parallelogram_law_with_norm ℝ _ _
have eq : δ ≤ ‖u - half • (wq + wp)‖ := by
rw [smul_add]
apply δ_le'
apply h₂
repeat' exact Subtype.mem _
repeat' exact le_of_lt one_half_pos
exact add_halves 1
have eq₁ : 4 * δ * δ ≤ 4 * ‖u - half • (wq + wp)‖ * ‖u - half • (wq + wp)‖ := by
simp_rw [mul_assoc]
gcongr
have eq₂ : ‖a‖ ≤ δ + div :=
le_trans (le_of_lt <| hw q) (add_le_add_left (Nat.one_div_le_one_div hq) _)
have eq₂' : ‖b‖ ≤ δ + div :=
le_trans (le_of_lt <| hw p) (add_le_add_left (Nat.one_div_le_one_div hp) _)
rw [dist_eq_norm]
apply nonneg_le_nonneg_of_sq_le_sq
· exact sqrt_nonneg _
rw [mul_self_sqrt]
· calc
‖wp - wq‖ * ‖wp - wq‖ =
2 * (‖a‖ * ‖a‖ + ‖b‖ * ‖b‖) - 4 * ‖u - half • (wq + wp)‖ * ‖u - half • (wq + wp)‖ := by
simp [← this]
_ ≤ 2 * (‖a‖ * ‖a‖ + ‖b‖ * ‖b‖) - 4 * δ * δ := by gcongr
_ ≤ 2 * ((δ + div) * (δ + div) + (δ + div) * (δ + div)) - 4 * δ * δ := by gcongr
_ = 8 * δ * div + 4 * div * div := by ring
positivity
-- third goal : `Tendsto (fun (n : ℕ) => √(b n)) atTop (𝓝 0)`
suffices Tendsto (fun x ↦ √(8 * δ * x + 4 * x * x) : ℝ → ℝ) (𝓝 0) (𝓝 0)
from this.comp tendsto_one_div_add_atTop_nhds_zero_nat
exact Continuous.tendsto' (by continuity) _ _ (by simp)
-- Step 3: By completeness of `K`, let `w : ℕ → K` converge to some `v : K`.
-- Prove that it satisfies all requirements.
rcases cauchySeq_tendsto_of_isComplete h₁ (fun n => Subtype.mem _) seq_is_cauchy with
⟨v, hv, w_tendsto⟩
use v
use hv
have h_cont : Continuous fun v => ‖u - v‖ :=
Continuous.comp continuous_norm (Continuous.sub continuous_const continuous_id)
have : Tendsto (fun n => ‖u - w n‖) atTop (𝓝 ‖u - v‖) := by
convert Tendsto.comp h_cont.continuousAt w_tendsto
exact tendsto_nhds_unique this norm_tendsto
| 97 | 1,338,334,719,204,269,500,000,000,000,000,000,000,000,000 | 2 | 2 | 1 | 1,939 |
import Mathlib.RingTheory.Finiteness
import Mathlib.Logic.Equiv.TransferInstance
universe u v w
open Function
variable (R : Type u) [Semiring R]
@[mk_iff]
class OrzechProperty : Prop where
injective_of_surjective_of_submodule' : ∀ {M : Type u} [AddCommMonoid M] [Module R M]
[Module.Finite R M] {N : Submodule R M} (f : N →ₗ[R] M), Surjective f → Injective f
namespace OrzechProperty
variable {R}
variable [OrzechProperty R] {M : Type v} [AddCommMonoid M] [Module R M] [Module.Finite R M]
| Mathlib/RingTheory/OrzechProperty.lean | 69 | 82 | theorem injective_of_surjective_of_injective
{N : Type w} [AddCommMonoid N] [Module R N]
(i f : N →ₗ[R] M) (hi : Injective i) (hf : Surjective f) : Injective f := by |
obtain ⟨n, g, hg⟩ := Module.Finite.exists_fin' R M
haveI := small_of_surjective hg
letI := Equiv.addCommMonoid (equivShrink M).symm
letI := Equiv.module R (equivShrink M).symm
let j : Shrink.{u} M ≃ₗ[R] M := Equiv.linearEquiv R (equivShrink M).symm
haveI := Module.Finite.equiv j.symm
let i' := j.symm.toLinearMap ∘ₗ i
replace hi : Injective i' := by simpa [i'] using hi
let f' := j.symm.toLinearMap ∘ₗ f ∘ₗ (LinearEquiv.ofInjective i' hi).symm.toLinearMap
replace hf : Surjective f' := by simpa [f'] using hf
simpa [f'] using injective_of_surjective_of_submodule' f' hf
| 11 | 59,874.141715 | 2 | 2 | 1 | 1,940 |
import Mathlib.MeasureTheory.Integral.ExpDecay
import Mathlib.Analysis.MellinTransform
#align_import analysis.special_functions.gamma.basic from "leanprover-community/mathlib"@"cca40788df1b8755d5baf17ab2f27dacc2e17acb"
noncomputable section
set_option linter.uppercaseLean3 false
open Filter intervalIntegral Set Real MeasureTheory Asymptotics
open scoped Nat Topology ComplexConjugate
namespace Real
| Mathlib/Analysis/SpecialFunctions/Gamma/Basic.lean | 56 | 67 | theorem Gamma_integrand_isLittleO (s : ℝ) :
(fun x : ℝ => exp (-x) * x ^ s) =o[atTop] fun x : ℝ => exp (-(1 / 2) * x) := by |
refine isLittleO_of_tendsto (fun x hx => ?_) ?_
· exfalso; exact (exp_pos (-(1 / 2) * x)).ne' hx
have : (fun x : ℝ => exp (-x) * x ^ s / exp (-(1 / 2) * x)) =
(fun x : ℝ => exp (1 / 2 * x) / x ^ s)⁻¹ := by
ext1 x
field_simp [exp_ne_zero, exp_neg, ← Real.exp_add]
left
ring
rw [this]
exact (tendsto_exp_mul_div_rpow_atTop s (1 / 2) one_half_pos).inv_tendsto_atTop
| 10 | 22,026.465795 | 2 | 2 | 2 | 1,941 |
import Mathlib.MeasureTheory.Integral.ExpDecay
import Mathlib.Analysis.MellinTransform
#align_import analysis.special_functions.gamma.basic from "leanprover-community/mathlib"@"cca40788df1b8755d5baf17ab2f27dacc2e17acb"
noncomputable section
set_option linter.uppercaseLean3 false
open Filter intervalIntegral Set Real MeasureTheory Asymptotics
open scoped Nat Topology ComplexConjugate
namespace Real
theorem Gamma_integrand_isLittleO (s : ℝ) :
(fun x : ℝ => exp (-x) * x ^ s) =o[atTop] fun x : ℝ => exp (-(1 / 2) * x) := by
refine isLittleO_of_tendsto (fun x hx => ?_) ?_
· exfalso; exact (exp_pos (-(1 / 2) * x)).ne' hx
have : (fun x : ℝ => exp (-x) * x ^ s / exp (-(1 / 2) * x)) =
(fun x : ℝ => exp (1 / 2 * x) / x ^ s)⁻¹ := by
ext1 x
field_simp [exp_ne_zero, exp_neg, ← Real.exp_add]
left
ring
rw [this]
exact (tendsto_exp_mul_div_rpow_atTop s (1 / 2) one_half_pos).inv_tendsto_atTop
#align real.Gamma_integrand_is_o Real.Gamma_integrand_isLittleO
| Mathlib/Analysis/SpecialFunctions/Gamma/Basic.lean | 71 | 82 | theorem GammaIntegral_convergent {s : ℝ} (h : 0 < s) :
IntegrableOn (fun x : ℝ => exp (-x) * x ^ (s - 1)) (Ioi 0) := by |
rw [← Ioc_union_Ioi_eq_Ioi (@zero_le_one ℝ _ _ _ _), integrableOn_union]
constructor
· rw [← integrableOn_Icc_iff_integrableOn_Ioc]
refine IntegrableOn.continuousOn_mul continuousOn_id.neg.rexp ?_ isCompact_Icc
refine (intervalIntegrable_iff_integrableOn_Icc_of_le zero_le_one).mp ?_
exact intervalIntegrable_rpow' (by linarith)
· refine integrable_of_isBigO_exp_neg one_half_pos ?_ (Gamma_integrand_isLittleO _).isBigO
refine continuousOn_id.neg.rexp.mul (continuousOn_id.rpow_const ?_)
intro x hx
exact Or.inl ((zero_lt_one : (0 : ℝ) < 1).trans_le hx).ne'
| 10 | 22,026.465795 | 2 | 2 | 2 | 1,941 |
import Mathlib.CategoryTheory.Sites.InducedTopology
import Mathlib.CategoryTheory.Sites.LocallyBijective
import Mathlib.CategoryTheory.Sites.PreservesLocallyBijective
import Mathlib.CategoryTheory.Sites.Whiskering
universe u
namespace CategoryTheory
open Functor Limits GrothendieckTopology
variable {C : Type*} [Category C] (J : GrothendieckTopology C)
variable {D : Type*} [Category D] (K : GrothendieckTopology D) (e : C ≌ D) (G : D ⥤ C)
variable (A : Type*) [Category A]
namespace Equivalence
| Mathlib/CategoryTheory/Sites/Equivalence.lean | 51 | 65 | theorem locallyCoverDense : LocallyCoverDense J e.inverse := by |
intro X T
convert T.prop
ext Z f
constructor
· rintro ⟨_, _, g', hg, rfl⟩
exact T.val.downward_closed hg g'
· intro hf
refine ⟨e.functor.obj Z, (Adjunction.homEquiv e.toAdjunction _ _).symm f, e.unit.app Z, ?_, ?_⟩
· simp only [Adjunction.homEquiv_counit, Functor.id_obj, Equivalence.toAdjunction_counit,
Sieve.functorPullback_apply, Presieve.functorPullback_mem, Functor.map_comp,
Equivalence.inv_fun_map, Functor.comp_obj, Category.assoc, Equivalence.unit_inverse_comp,
Category.comp_id]
exact T.val.downward_closed hf _
· simp
| 14 | 1,202,604.284165 | 2 | 2 | 2 | 1,942 |
import Mathlib.CategoryTheory.Sites.InducedTopology
import Mathlib.CategoryTheory.Sites.LocallyBijective
import Mathlib.CategoryTheory.Sites.PreservesLocallyBijective
import Mathlib.CategoryTheory.Sites.Whiskering
universe u
namespace CategoryTheory
open Functor Limits GrothendieckTopology
variable {C : Type*} [Category C] (J : GrothendieckTopology C)
variable {D : Type*} [Category D] (K : GrothendieckTopology D) (e : C ≌ D) (G : D ⥤ C)
variable (A : Type*) [Category A]
namespace Equivalence
theorem locallyCoverDense : LocallyCoverDense J e.inverse := by
intro X T
convert T.prop
ext Z f
constructor
· rintro ⟨_, _, g', hg, rfl⟩
exact T.val.downward_closed hg g'
· intro hf
refine ⟨e.functor.obj Z, (Adjunction.homEquiv e.toAdjunction _ _).symm f, e.unit.app Z, ?_, ?_⟩
· simp only [Adjunction.homEquiv_counit, Functor.id_obj, Equivalence.toAdjunction_counit,
Sieve.functorPullback_apply, Presieve.functorPullback_mem, Functor.map_comp,
Equivalence.inv_fun_map, Functor.comp_obj, Category.assoc, Equivalence.unit_inverse_comp,
Category.comp_id]
exact T.val.downward_closed hf _
· simp
| Mathlib/CategoryTheory/Sites/Equivalence.lean | 67 | 82 | theorem coverPreserving : CoverPreserving J (e.locallyCoverDense J).inducedTopology e.functor where
cover_preserve {U S} h := by |
change _ ∈ J.sieves (e.inverse.obj (e.functor.obj U))
convert J.pullback_stable (e.unitInv.app U) h
ext Z f
rw [← Sieve.functorPushforward_comp]
simp only [Sieve.functorPushforward_apply, Presieve.functorPushforward, exists_and_left, id_obj,
comp_obj, Sieve.pullback_apply]
constructor
· rintro ⟨W, g, hg, x, rfl⟩
rw [Category.assoc]
apply S.downward_closed
simpa using S.downward_closed hg _
· intro hf
exact ⟨_, e.unitInv.app Z ≫ f ≫ e.unitInv.app U, S.downward_closed hf _,
e.unit.app Z ≫ e.unit.app _, by simp⟩
| 14 | 1,202,604.284165 | 2 | 2 | 2 | 1,942 |
import Mathlib.Analysis.BoxIntegral.Basic
import Mathlib.MeasureTheory.Integral.SetIntegral
import Mathlib.Tactic.Generalize
#align_import analysis.box_integral.integrability from "leanprover-community/mathlib"@"fd5edc43dc4f10b85abfe544b88f82cf13c5f844"
open scoped Classical NNReal ENNReal Topology
universe u v
variable {ι : Type u} {E : Type v} [Fintype ι] [NormedAddCommGroup E] [NormedSpace ℝ E]
open MeasureTheory Metric Set Finset Filter BoxIntegral
namespace BoxIntegral
| Mathlib/Analysis/BoxIntegral/Integrability.lean | 39 | 99 | theorem hasIntegralIndicatorConst (l : IntegrationParams) (hl : l.bRiemann = false)
{s : Set (ι → ℝ)} (hs : MeasurableSet s) (I : Box ι) (y : E) (μ : Measure (ι → ℝ))
[IsLocallyFiniteMeasure μ] :
HasIntegral.{u, v, v} I l (s.indicator fun _ => y) μ.toBoxAdditive.toSMul
((μ (s ∩ I)).toReal • y) := by |
refine HasIntegral.of_mul ‖y‖ fun ε ε0 => ?_
lift ε to ℝ≥0 using ε0.le; rw [NNReal.coe_pos] at ε0
/- First we choose a closed set `F ⊆ s ∩ I.Icc` and an open set `U ⊇ s` such that
both `(s ∩ I.Icc) \ F` and `U \ s` have measure less than `ε`. -/
have A : μ (s ∩ Box.Icc I) ≠ ∞ :=
((measure_mono Set.inter_subset_right).trans_lt (I.measure_Icc_lt_top μ)).ne
have B : μ (s ∩ I) ≠ ∞ :=
((measure_mono Set.inter_subset_right).trans_lt (I.measure_coe_lt_top μ)).ne
obtain ⟨F, hFs, hFc, hμF⟩ : ∃ F, F ⊆ s ∩ Box.Icc I ∧ IsClosed F ∧ μ ((s ∩ Box.Icc I) \ F) < ε :=
(hs.inter I.measurableSet_Icc).exists_isClosed_diff_lt A (ENNReal.coe_pos.2 ε0).ne'
obtain ⟨U, hsU, hUo, hUt, hμU⟩ :
∃ U, s ∩ Box.Icc I ⊆ U ∧ IsOpen U ∧ μ U < ∞ ∧ μ (U \ (s ∩ Box.Icc I)) < ε :=
(hs.inter I.measurableSet_Icc).exists_isOpen_diff_lt A (ENNReal.coe_pos.2 ε0).ne'
/- Then we choose `r` so that `closed_ball x (r x) ⊆ U` whenever `x ∈ s ∩ I.Icc` and
`closed_ball x (r x)` is disjoint with `F` otherwise. -/
have : ∀ x ∈ s ∩ Box.Icc I, ∃ r : Ioi (0 : ℝ), closedBall x r ⊆ U := fun x hx => by
rcases nhds_basis_closedBall.mem_iff.1 (hUo.mem_nhds <| hsU hx) with ⟨r, hr₀, hr⟩
exact ⟨⟨r, hr₀⟩, hr⟩
choose! rs hrsU using this
have : ∀ x ∈ Box.Icc I \ s, ∃ r : Ioi (0 : ℝ), closedBall x r ⊆ Fᶜ := fun x hx => by
obtain ⟨r, hr₀, hr⟩ :=
nhds_basis_closedBall.mem_iff.1 (hFc.isOpen_compl.mem_nhds fun hx' => hx.2 (hFs hx').1)
exact ⟨⟨r, hr₀⟩, hr⟩
choose! rs' hrs'F using this
set r : (ι → ℝ) → Ioi (0 : ℝ) := s.piecewise rs rs'
refine ⟨fun _ => r, fun c => l.rCond_of_bRiemann_eq_false hl, fun c π hπ hπp => ?_⟩; rw [mul_comm]
/- Then the union of boxes `J ∈ π` such that `π.tag ∈ s` includes `F` and is included by `U`,
hence its measure is `ε`-close to the measure of `s`. -/
dsimp [integralSum]
simp only [mem_closedBall, dist_eq_norm, ← indicator_const_smul_apply,
sum_indicator_eq_sum_filter, ← sum_smul, ← sub_smul, norm_smul, Real.norm_eq_abs, ←
Prepartition.filter_boxes, ← Prepartition.measure_iUnion_toReal]
gcongr
set t := (π.filter (π.tag · ∈ s)).iUnion
change abs ((μ t).toReal - (μ (s ∩ I)).toReal) ≤ ε
have htU : t ⊆ U ∩ I := by
simp only [t, TaggedPrepartition.iUnion_def, iUnion_subset_iff, TaggedPrepartition.mem_filter,
and_imp]
refine fun J hJ hJs x hx => ⟨hrsU _ ⟨hJs, π.tag_mem_Icc J⟩ ?_, π.le_of_mem' J hJ hx⟩
simpa only [r, s.piecewise_eq_of_mem _ _ hJs] using hπ.1 J hJ (Box.coe_subset_Icc hx)
refine abs_sub_le_iff.2 ⟨?_, ?_⟩
· refine (ENNReal.le_toReal_sub B).trans (ENNReal.toReal_le_coe_of_le_coe ?_)
refine (tsub_le_tsub (measure_mono htU) le_rfl).trans (le_measure_diff.trans ?_)
refine (measure_mono fun x hx => ?_).trans hμU.le
exact ⟨hx.1.1, fun hx' => hx.2 ⟨hx'.1, hx.1.2⟩⟩
· have hμt : μ t ≠ ∞ := ((measure_mono (htU.trans inter_subset_left)).trans_lt hUt).ne
refine (ENNReal.le_toReal_sub hμt).trans (ENNReal.toReal_le_coe_of_le_coe ?_)
refine le_measure_diff.trans ((measure_mono ?_).trans hμF.le)
rintro x ⟨⟨hxs, hxI⟩, hxt⟩
refine ⟨⟨hxs, Box.coe_subset_Icc hxI⟩, fun hxF => hxt ?_⟩
simp only [t, TaggedPrepartition.iUnion_def, TaggedPrepartition.mem_filter, Set.mem_iUnion]
rcases hπp x hxI with ⟨J, hJπ, hxJ⟩
refine ⟨J, ⟨hJπ, ?_⟩, hxJ⟩
contrapose hxF
refine hrs'F _ ⟨π.tag_mem_Icc J, hxF⟩ ?_
simpa only [r, s.piecewise_eq_of_not_mem _ _ hxF] using hπ.1 J hJπ (Box.coe_subset_Icc hxJ)
| 56 | 2,091,659,496,012,996,000,000,000 | 2 | 2 | 2 | 1,943 |
import Mathlib.Analysis.BoxIntegral.Basic
import Mathlib.MeasureTheory.Integral.SetIntegral
import Mathlib.Tactic.Generalize
#align_import analysis.box_integral.integrability from "leanprover-community/mathlib"@"fd5edc43dc4f10b85abfe544b88f82cf13c5f844"
open scoped Classical NNReal ENNReal Topology
universe u v
variable {ι : Type u} {E : Type v} [Fintype ι] [NormedAddCommGroup E] [NormedSpace ℝ E]
open MeasureTheory Metric Set Finset Filter BoxIntegral
namespace BoxIntegral
theorem hasIntegralIndicatorConst (l : IntegrationParams) (hl : l.bRiemann = false)
{s : Set (ι → ℝ)} (hs : MeasurableSet s) (I : Box ι) (y : E) (μ : Measure (ι → ℝ))
[IsLocallyFiniteMeasure μ] :
HasIntegral.{u, v, v} I l (s.indicator fun _ => y) μ.toBoxAdditive.toSMul
((μ (s ∩ I)).toReal • y) := by
refine HasIntegral.of_mul ‖y‖ fun ε ε0 => ?_
lift ε to ℝ≥0 using ε0.le; rw [NNReal.coe_pos] at ε0
have A : μ (s ∩ Box.Icc I) ≠ ∞ :=
((measure_mono Set.inter_subset_right).trans_lt (I.measure_Icc_lt_top μ)).ne
have B : μ (s ∩ I) ≠ ∞ :=
((measure_mono Set.inter_subset_right).trans_lt (I.measure_coe_lt_top μ)).ne
obtain ⟨F, hFs, hFc, hμF⟩ : ∃ F, F ⊆ s ∩ Box.Icc I ∧ IsClosed F ∧ μ ((s ∩ Box.Icc I) \ F) < ε :=
(hs.inter I.measurableSet_Icc).exists_isClosed_diff_lt A (ENNReal.coe_pos.2 ε0).ne'
obtain ⟨U, hsU, hUo, hUt, hμU⟩ :
∃ U, s ∩ Box.Icc I ⊆ U ∧ IsOpen U ∧ μ U < ∞ ∧ μ (U \ (s ∩ Box.Icc I)) < ε :=
(hs.inter I.measurableSet_Icc).exists_isOpen_diff_lt A (ENNReal.coe_pos.2 ε0).ne'
have : ∀ x ∈ s ∩ Box.Icc I, ∃ r : Ioi (0 : ℝ), closedBall x r ⊆ U := fun x hx => by
rcases nhds_basis_closedBall.mem_iff.1 (hUo.mem_nhds <| hsU hx) with ⟨r, hr₀, hr⟩
exact ⟨⟨r, hr₀⟩, hr⟩
choose! rs hrsU using this
have : ∀ x ∈ Box.Icc I \ s, ∃ r : Ioi (0 : ℝ), closedBall x r ⊆ Fᶜ := fun x hx => by
obtain ⟨r, hr₀, hr⟩ :=
nhds_basis_closedBall.mem_iff.1 (hFc.isOpen_compl.mem_nhds fun hx' => hx.2 (hFs hx').1)
exact ⟨⟨r, hr₀⟩, hr⟩
choose! rs' hrs'F using this
set r : (ι → ℝ) → Ioi (0 : ℝ) := s.piecewise rs rs'
refine ⟨fun _ => r, fun c => l.rCond_of_bRiemann_eq_false hl, fun c π hπ hπp => ?_⟩; rw [mul_comm]
dsimp [integralSum]
simp only [mem_closedBall, dist_eq_norm, ← indicator_const_smul_apply,
sum_indicator_eq_sum_filter, ← sum_smul, ← sub_smul, norm_smul, Real.norm_eq_abs, ←
Prepartition.filter_boxes, ← Prepartition.measure_iUnion_toReal]
gcongr
set t := (π.filter (π.tag · ∈ s)).iUnion
change abs ((μ t).toReal - (μ (s ∩ I)).toReal) ≤ ε
have htU : t ⊆ U ∩ I := by
simp only [t, TaggedPrepartition.iUnion_def, iUnion_subset_iff, TaggedPrepartition.mem_filter,
and_imp]
refine fun J hJ hJs x hx => ⟨hrsU _ ⟨hJs, π.tag_mem_Icc J⟩ ?_, π.le_of_mem' J hJ hx⟩
simpa only [r, s.piecewise_eq_of_mem _ _ hJs] using hπ.1 J hJ (Box.coe_subset_Icc hx)
refine abs_sub_le_iff.2 ⟨?_, ?_⟩
· refine (ENNReal.le_toReal_sub B).trans (ENNReal.toReal_le_coe_of_le_coe ?_)
refine (tsub_le_tsub (measure_mono htU) le_rfl).trans (le_measure_diff.trans ?_)
refine (measure_mono fun x hx => ?_).trans hμU.le
exact ⟨hx.1.1, fun hx' => hx.2 ⟨hx'.1, hx.1.2⟩⟩
· have hμt : μ t ≠ ∞ := ((measure_mono (htU.trans inter_subset_left)).trans_lt hUt).ne
refine (ENNReal.le_toReal_sub hμt).trans (ENNReal.toReal_le_coe_of_le_coe ?_)
refine le_measure_diff.trans ((measure_mono ?_).trans hμF.le)
rintro x ⟨⟨hxs, hxI⟩, hxt⟩
refine ⟨⟨hxs, Box.coe_subset_Icc hxI⟩, fun hxF => hxt ?_⟩
simp only [t, TaggedPrepartition.iUnion_def, TaggedPrepartition.mem_filter, Set.mem_iUnion]
rcases hπp x hxI with ⟨J, hJπ, hxJ⟩
refine ⟨J, ⟨hJπ, ?_⟩, hxJ⟩
contrapose hxF
refine hrs'F _ ⟨π.tag_mem_Icc J, hxF⟩ ?_
simpa only [r, s.piecewise_eq_of_not_mem _ _ hxF] using hπ.1 J hJπ (Box.coe_subset_Icc hxJ)
#align box_integral.has_integral_indicator_const BoxIntegral.hasIntegralIndicatorConst
| Mathlib/Analysis/BoxIntegral/Integrability.lean | 104 | 155 | theorem HasIntegral.of_aeEq_zero {l : IntegrationParams} {I : Box ι} {f : (ι → ℝ) → E}
{μ : Measure (ι → ℝ)} [IsLocallyFiniteMeasure μ] (hf : f =ᵐ[μ.restrict I] 0)
(hl : l.bRiemann = false) : HasIntegral.{u, v, v} I l f μ.toBoxAdditive.toSMul 0 := by |
/- Each set `{x | n < ‖f x‖ ≤ n + 1}`, `n : ℕ`, has measure zero. We cover it by an open set of
measure less than `ε / 2 ^ n / (n + 1)`. Then the norm of the integral sum is less than `ε`. -/
refine hasIntegral_iff.2 fun ε ε0 => ?_
lift ε to ℝ≥0 using ε0.lt.le; rw [gt_iff_lt, NNReal.coe_pos] at ε0
rcases NNReal.exists_pos_sum_of_countable ε0.ne' ℕ with ⟨δ, δ0, c, hδc, hcε⟩
haveI := Fact.mk (I.measure_coe_lt_top μ)
change μ.restrict I {x | f x ≠ 0} = 0 at hf
set N : (ι → ℝ) → ℕ := fun x => ⌈‖f x‖⌉₊
have N0 : ∀ {x}, N x = 0 ↔ f x = 0 := by simp [N]
have : ∀ n, ∃ U, N ⁻¹' {n} ⊆ U ∧ IsOpen U ∧ μ.restrict I U < δ n / n := fun n ↦ by
refine (N ⁻¹' {n}).exists_isOpen_lt_of_lt _ ?_
cases' n with n
· simpa [ENNReal.div_zero (ENNReal.coe_pos.2 (δ0 _)).ne'] using measure_lt_top (μ.restrict I) _
· refine (measure_mono_null ?_ hf).le.trans_lt ?_
· exact fun x hxN hxf => n.succ_ne_zero ((Eq.symm hxN).trans <| N0.2 hxf)
· simp [(δ0 _).ne']
choose U hNU hUo hμU using this
have : ∀ x, ∃ r : Ioi (0 : ℝ), closedBall x r ⊆ U (N x) := fun x => by
obtain ⟨r, hr₀, hr⟩ := nhds_basis_closedBall.mem_iff.1 ((hUo _).mem_nhds (hNU _ rfl))
exact ⟨⟨r, hr₀⟩, hr⟩
choose r hrU using this
refine ⟨fun _ => r, fun c => l.rCond_of_bRiemann_eq_false hl, fun c π hπ _ => ?_⟩
rw [dist_eq_norm, sub_zero, ← integralSum_fiberwise fun J => N (π.tag J)]
refine le_trans ?_ (NNReal.coe_lt_coe.2 hcε).le
refine (norm_sum_le_of_le _ ?_).trans
(sum_le_hasSum _ (fun n _ => (δ n).2) (NNReal.hasSum_coe.2 hδc))
rintro n -
dsimp [integralSum]
have : ∀ J ∈ π.filter fun J => N (π.tag J) = n,
‖(μ ↑J).toReal • f (π.tag J)‖ ≤ (μ J).toReal * n := fun J hJ ↦ by
rw [TaggedPrepartition.mem_filter] at hJ
rw [norm_smul, Real.norm_eq_abs, abs_of_nonneg ENNReal.toReal_nonneg]
gcongr
exact hJ.2 ▸ Nat.le_ceil _
refine (norm_sum_le_of_le _ this).trans ?_; clear this
rw [← sum_mul, ← Prepartition.measure_iUnion_toReal]
let m := μ (π.filter fun J => N (π.tag J) = n).iUnion
show m.toReal * ↑n ≤ ↑(δ n)
have : m < δ n / n := by
simp only [Measure.restrict_apply (hUo _).measurableSet] at hμU
refine (measure_mono ?_).trans_lt (hμU _)
simp only [Set.subset_def, TaggedPrepartition.mem_iUnion, TaggedPrepartition.mem_filter]
rintro x ⟨J, ⟨hJ, rfl⟩, hx⟩
exact ⟨hrU _ (hπ.1 _ hJ (Box.coe_subset_Icc hx)), π.le_of_mem' J hJ hx⟩
clear_value m
lift m to ℝ≥0 using ne_top_of_lt this
rw [ENNReal.coe_toReal, ← NNReal.coe_natCast, ← NNReal.coe_mul, NNReal.coe_le_coe, ←
ENNReal.coe_le_coe, ENNReal.coe_mul, ENNReal.coe_natCast, mul_comm]
exact (mul_le_mul_left' this.le _).trans ENNReal.mul_div_le
| 49 | 1,907,346,572,495,099,800,000 | 2 | 2 | 2 | 1,943 |
import Mathlib.Analysis.Calculus.MeanValue
#align_import analysis.calculus.extend_deriv from "leanprover-community/mathlib"@"f2ce6086713c78a7f880485f7917ea547a215982"
variable {E : Type*} [NormedAddCommGroup E] [NormedSpace ℝ E] {F : Type*} [NormedAddCommGroup F]
[NormedSpace ℝ F]
open Filter Set Metric ContinuousLinearMap
open scoped Topology
attribute [local mono] Set.prod_mono
| Mathlib/Analysis/Calculus/FDeriv/Extend.lean | 37 | 106 | theorem has_fderiv_at_boundary_of_tendsto_fderiv {f : E → F} {s : Set E} {x : E} {f' : E →L[ℝ] F}
(f_diff : DifferentiableOn ℝ f s) (s_conv : Convex ℝ s) (s_open : IsOpen s)
(f_cont : ∀ y ∈ closure s, ContinuousWithinAt f s y)
(h : Tendsto (fun y => fderiv ℝ f y) (𝓝[s] x) (𝓝 f')) :
HasFDerivWithinAt f f' (closure s) x := by |
classical
-- one can assume without loss of generality that `x` belongs to the closure of `s`, as the
-- statement is empty otherwise
by_cases hx : x ∉ closure s
· rw [← closure_closure] at hx; exact hasFDerivWithinAt_of_nmem_closure hx
push_neg at hx
rw [HasFDerivWithinAt, hasFDerivAtFilter_iff_isLittleO, Asymptotics.isLittleO_iff]
/- One needs to show that `‖f y - f x - f' (y - x)‖ ≤ ε ‖y - x‖` for `y` close to `x` in
`closure s`, where `ε` is an arbitrary positive constant. By continuity of the functions, it
suffices to prove this for nearby points inside `s`. In a neighborhood of `x`, the derivative
of `f` is arbitrarily close to `f'` by assumption. The mean value inequality completes the
proof. -/
intro ε ε_pos
obtain ⟨δ, δ_pos, hδ⟩ : ∃ δ > 0, ∀ y ∈ s, dist y x < δ → ‖fderiv ℝ f y - f'‖ < ε := by
simpa [dist_zero_right] using tendsto_nhdsWithin_nhds.1 h ε ε_pos
set B := ball x δ
suffices ∀ y ∈ B ∩ closure s, ‖f y - f x - (f' y - f' x)‖ ≤ ε * ‖y - x‖ from
mem_nhdsWithin_iff.2 ⟨δ, δ_pos, fun y hy => by simpa using this y hy⟩
suffices
∀ p : E × E,
p ∈ closure ((B ∩ s) ×ˢ (B ∩ s)) → ‖f p.2 - f p.1 - (f' p.2 - f' p.1)‖ ≤ ε * ‖p.2 - p.1‖ by
rw [closure_prod_eq] at this
intro y y_in
apply this ⟨x, y⟩
have : B ∩ closure s ⊆ closure (B ∩ s) := isOpen_ball.inter_closure
exact ⟨this ⟨mem_ball_self δ_pos, hx⟩, this y_in⟩
have key : ∀ p : E × E, p ∈ (B ∩ s) ×ˢ (B ∩ s) →
‖f p.2 - f p.1 - (f' p.2 - f' p.1)‖ ≤ ε * ‖p.2 - p.1‖ := by
rintro ⟨u, v⟩ ⟨u_in, v_in⟩
have conv : Convex ℝ (B ∩ s) := (convex_ball _ _).inter s_conv
have diff : DifferentiableOn ℝ f (B ∩ s) := f_diff.mono inter_subset_right
have bound : ∀ z ∈ B ∩ s, ‖fderivWithin ℝ f (B ∩ s) z - f'‖ ≤ ε := by
intro z z_in
have h := hδ z
have : fderivWithin ℝ f (B ∩ s) z = fderiv ℝ f z := by
have op : IsOpen (B ∩ s) := isOpen_ball.inter s_open
rw [DifferentiableAt.fderivWithin _ (op.uniqueDiffOn z z_in)]
exact (diff z z_in).differentiableAt (IsOpen.mem_nhds op z_in)
rw [← this] at h
exact le_of_lt (h z_in.2 z_in.1)
simpa using conv.norm_image_sub_le_of_norm_fderivWithin_le' diff bound u_in v_in
rintro ⟨u, v⟩ uv_in
have f_cont' : ∀ y ∈ closure s, ContinuousWithinAt (f - ⇑f') s y := by
intro y y_in
exact Tendsto.sub (f_cont y y_in) f'.cont.continuousWithinAt
refine ContinuousWithinAt.closure_le uv_in ?_ ?_ key
all_goals
-- common start for both continuity proofs
have : (B ∩ s) ×ˢ (B ∩ s) ⊆ s ×ˢ s := by mono <;> exact inter_subset_right
obtain ⟨u_in, v_in⟩ : u ∈ closure s ∧ v ∈ closure s := by
simpa [closure_prod_eq] using closure_mono this uv_in
apply ContinuousWithinAt.mono _ this
simp only [ContinuousWithinAt]
· rw [nhdsWithin_prod_eq]
have : ∀ u v, f v - f u - (f' v - f' u) = f v - f' v - (f u - f' u) := by intros; abel
simp only [this]
exact
Tendsto.comp continuous_norm.continuousAt
((Tendsto.comp (f_cont' v v_in) tendsto_snd).sub <|
Tendsto.comp (f_cont' u u_in) tendsto_fst)
· apply tendsto_nhdsWithin_of_tendsto_nhds
rw [nhds_prod_eq]
exact
tendsto_const_nhds.mul
(Tendsto.comp continuous_norm.continuousAt <| tendsto_snd.sub tendsto_fst)
| 65 | 16,948,892,444,103,336,000,000,000,000 | 2 | 2 | 2 | 1,944 |
import Mathlib.Analysis.Calculus.MeanValue
#align_import analysis.calculus.extend_deriv from "leanprover-community/mathlib"@"f2ce6086713c78a7f880485f7917ea547a215982"
variable {E : Type*} [NormedAddCommGroup E] [NormedSpace ℝ E] {F : Type*} [NormedAddCommGroup F]
[NormedSpace ℝ F]
open Filter Set Metric ContinuousLinearMap
open scoped Topology
attribute [local mono] Set.prod_mono
theorem has_fderiv_at_boundary_of_tendsto_fderiv {f : E → F} {s : Set E} {x : E} {f' : E →L[ℝ] F}
(f_diff : DifferentiableOn ℝ f s) (s_conv : Convex ℝ s) (s_open : IsOpen s)
(f_cont : ∀ y ∈ closure s, ContinuousWithinAt f s y)
(h : Tendsto (fun y => fderiv ℝ f y) (𝓝[s] x) (𝓝 f')) :
HasFDerivWithinAt f f' (closure s) x := by
classical
-- one can assume without loss of generality that `x` belongs to the closure of `s`, as the
-- statement is empty otherwise
by_cases hx : x ∉ closure s
· rw [← closure_closure] at hx; exact hasFDerivWithinAt_of_nmem_closure hx
push_neg at hx
rw [HasFDerivWithinAt, hasFDerivAtFilter_iff_isLittleO, Asymptotics.isLittleO_iff]
intro ε ε_pos
obtain ⟨δ, δ_pos, hδ⟩ : ∃ δ > 0, ∀ y ∈ s, dist y x < δ → ‖fderiv ℝ f y - f'‖ < ε := by
simpa [dist_zero_right] using tendsto_nhdsWithin_nhds.1 h ε ε_pos
set B := ball x δ
suffices ∀ y ∈ B ∩ closure s, ‖f y - f x - (f' y - f' x)‖ ≤ ε * ‖y - x‖ from
mem_nhdsWithin_iff.2 ⟨δ, δ_pos, fun y hy => by simpa using this y hy⟩
suffices
∀ p : E × E,
p ∈ closure ((B ∩ s) ×ˢ (B ∩ s)) → ‖f p.2 - f p.1 - (f' p.2 - f' p.1)‖ ≤ ε * ‖p.2 - p.1‖ by
rw [closure_prod_eq] at this
intro y y_in
apply this ⟨x, y⟩
have : B ∩ closure s ⊆ closure (B ∩ s) := isOpen_ball.inter_closure
exact ⟨this ⟨mem_ball_self δ_pos, hx⟩, this y_in⟩
have key : ∀ p : E × E, p ∈ (B ∩ s) ×ˢ (B ∩ s) →
‖f p.2 - f p.1 - (f' p.2 - f' p.1)‖ ≤ ε * ‖p.2 - p.1‖ := by
rintro ⟨u, v⟩ ⟨u_in, v_in⟩
have conv : Convex ℝ (B ∩ s) := (convex_ball _ _).inter s_conv
have diff : DifferentiableOn ℝ f (B ∩ s) := f_diff.mono inter_subset_right
have bound : ∀ z ∈ B ∩ s, ‖fderivWithin ℝ f (B ∩ s) z - f'‖ ≤ ε := by
intro z z_in
have h := hδ z
have : fderivWithin ℝ f (B ∩ s) z = fderiv ℝ f z := by
have op : IsOpen (B ∩ s) := isOpen_ball.inter s_open
rw [DifferentiableAt.fderivWithin _ (op.uniqueDiffOn z z_in)]
exact (diff z z_in).differentiableAt (IsOpen.mem_nhds op z_in)
rw [← this] at h
exact le_of_lt (h z_in.2 z_in.1)
simpa using conv.norm_image_sub_le_of_norm_fderivWithin_le' diff bound u_in v_in
rintro ⟨u, v⟩ uv_in
have f_cont' : ∀ y ∈ closure s, ContinuousWithinAt (f - ⇑f') s y := by
intro y y_in
exact Tendsto.sub (f_cont y y_in) f'.cont.continuousWithinAt
refine ContinuousWithinAt.closure_le uv_in ?_ ?_ key
all_goals
-- common start for both continuity proofs
have : (B ∩ s) ×ˢ (B ∩ s) ⊆ s ×ˢ s := by mono <;> exact inter_subset_right
obtain ⟨u_in, v_in⟩ : u ∈ closure s ∧ v ∈ closure s := by
simpa [closure_prod_eq] using closure_mono this uv_in
apply ContinuousWithinAt.mono _ this
simp only [ContinuousWithinAt]
· rw [nhdsWithin_prod_eq]
have : ∀ u v, f v - f u - (f' v - f' u) = f v - f' v - (f u - f' u) := by intros; abel
simp only [this]
exact
Tendsto.comp continuous_norm.continuousAt
((Tendsto.comp (f_cont' v v_in) tendsto_snd).sub <|
Tendsto.comp (f_cont' u u_in) tendsto_fst)
· apply tendsto_nhdsWithin_of_tendsto_nhds
rw [nhds_prod_eq]
exact
tendsto_const_nhds.mul
(Tendsto.comp continuous_norm.continuousAt <| tendsto_snd.sub tendsto_fst)
#align has_fderiv_at_boundary_of_tendsto_fderiv has_fderiv_at_boundary_of_tendsto_fderiv
| Mathlib/Analysis/Calculus/FDeriv/Extend.lean | 111 | 140 | theorem has_deriv_at_interval_left_endpoint_of_tendsto_deriv {s : Set ℝ} {e : E} {a : ℝ} {f : ℝ → E}
(f_diff : DifferentiableOn ℝ f s) (f_lim : ContinuousWithinAt f s a) (hs : s ∈ 𝓝[>] a)
(f_lim' : Tendsto (fun x => deriv f x) (𝓝[>] a) (𝓝 e)) : HasDerivWithinAt f e (Ici a) a := by |
/- This is a specialization of `has_fderiv_at_boundary_of_tendsto_fderiv`. To be in the setting of
this theorem, we need to work on an open interval with closure contained in `s ∪ {a}`, that we
call `t = (a, b)`. Then, we check all the assumptions of this theorem and we apply it. -/
obtain ⟨b, ab : a < b, sab : Ioc a b ⊆ s⟩ := mem_nhdsWithin_Ioi_iff_exists_Ioc_subset.1 hs
let t := Ioo a b
have ts : t ⊆ s := Subset.trans Ioo_subset_Ioc_self sab
have t_diff : DifferentiableOn ℝ f t := f_diff.mono ts
have t_conv : Convex ℝ t := convex_Ioo a b
have t_open : IsOpen t := isOpen_Ioo
have t_closure : closure t = Icc a b := closure_Ioo ab.ne
have t_cont : ∀ y ∈ closure t, ContinuousWithinAt f t y := by
rw [t_closure]
intro y hy
by_cases h : y = a
· rw [h]; exact f_lim.mono ts
· have : y ∈ s := sab ⟨lt_of_le_of_ne hy.1 (Ne.symm h), hy.2⟩
exact (f_diff.continuousOn y this).mono ts
have t_diff' : Tendsto (fun x => fderiv ℝ f x) (𝓝[t] a) (𝓝 (smulRight (1 : ℝ →L[ℝ] ℝ) e)) := by
simp only [deriv_fderiv.symm]
exact Tendsto.comp
(isBoundedBilinearMap_smulRight : IsBoundedBilinearMap ℝ _).continuous_right.continuousAt
(tendsto_nhdsWithin_mono_left Ioo_subset_Ioi_self f_lim')
-- now we can apply `has_fderiv_at_boundary_of_differentiable`
have : HasDerivWithinAt f e (Icc a b) a := by
rw [hasDerivWithinAt_iff_hasFDerivWithinAt, ← t_closure]
exact has_fderiv_at_boundary_of_tendsto_fderiv t_diff t_conv t_open t_cont t_diff'
exact this.mono_of_mem (Icc_mem_nhdsWithin_Ici <| left_mem_Ico.2 ab)
| 27 | 532,048,240,601.79865 | 2 | 2 | 2 | 1,944 |
import Mathlib.Data.Finset.Sort
import Mathlib.Data.Fin.VecNotation
import Mathlib.Data.Sign
import Mathlib.LinearAlgebra.AffineSpace.Combination
import Mathlib.LinearAlgebra.AffineSpace.AffineEquiv
import Mathlib.LinearAlgebra.Basis.VectorSpace
#align_import linear_algebra.affine_space.independent from "leanprover-community/mathlib"@"2de9c37fa71dde2f1c6feff19876dd6a7b1519f0"
noncomputable section
open Finset Function
open scoped Affine
section AffineIndependent
variable (k : Type*) {V : Type*} {P : Type*} [Ring k] [AddCommGroup V] [Module k V]
variable [AffineSpace V P] {ι : Type*}
def AffineIndependent (p : ι → P) : Prop :=
∀ (s : Finset ι) (w : ι → k),
∑ i ∈ s, w i = 0 → s.weightedVSub p w = (0 : V) → ∀ i ∈ s, w i = 0
#align affine_independent AffineIndependent
theorem affineIndependent_def (p : ι → P) :
AffineIndependent k p ↔
∀ (s : Finset ι) (w : ι → k),
∑ i ∈ s, w i = 0 → s.weightedVSub p w = (0 : V) → ∀ i ∈ s, w i = 0 :=
Iff.rfl
#align affine_independent_def affineIndependent_def
theorem affineIndependent_of_subsingleton [Subsingleton ι] (p : ι → P) : AffineIndependent k p :=
fun _ _ h _ i hi => Fintype.eq_of_subsingleton_of_sum_eq h i hi
#align affine_independent_of_subsingleton affineIndependent_of_subsingleton
| Mathlib/LinearAlgebra/AffineSpace/Independent.lean | 72 | 81 | theorem affineIndependent_iff_of_fintype [Fintype ι] (p : ι → P) :
AffineIndependent k p ↔
∀ w : ι → k, ∑ i, w i = 0 → Finset.univ.weightedVSub p w = (0 : V) → ∀ i, w i = 0 := by |
constructor
· exact fun h w hw hs i => h Finset.univ w hw hs i (Finset.mem_univ _)
· intro h s w hw hs i hi
rw [Finset.weightedVSub_indicator_subset _ _ (Finset.subset_univ s)] at hs
rw [← Finset.sum_indicator_subset _ (Finset.subset_univ s)] at hw
replace h := h ((↑s : Set ι).indicator w) hw hs i
simpa [hi] using h
| 7 | 1,096.633158 | 2 | 2 | 3 | 1,945 |
import Mathlib.Data.Finset.Sort
import Mathlib.Data.Fin.VecNotation
import Mathlib.Data.Sign
import Mathlib.LinearAlgebra.AffineSpace.Combination
import Mathlib.LinearAlgebra.AffineSpace.AffineEquiv
import Mathlib.LinearAlgebra.Basis.VectorSpace
#align_import linear_algebra.affine_space.independent from "leanprover-community/mathlib"@"2de9c37fa71dde2f1c6feff19876dd6a7b1519f0"
noncomputable section
open Finset Function
open scoped Affine
section AffineIndependent
variable (k : Type*) {V : Type*} {P : Type*} [Ring k] [AddCommGroup V] [Module k V]
variable [AffineSpace V P] {ι : Type*}
def AffineIndependent (p : ι → P) : Prop :=
∀ (s : Finset ι) (w : ι → k),
∑ i ∈ s, w i = 0 → s.weightedVSub p w = (0 : V) → ∀ i ∈ s, w i = 0
#align affine_independent AffineIndependent
theorem affineIndependent_def (p : ι → P) :
AffineIndependent k p ↔
∀ (s : Finset ι) (w : ι → k),
∑ i ∈ s, w i = 0 → s.weightedVSub p w = (0 : V) → ∀ i ∈ s, w i = 0 :=
Iff.rfl
#align affine_independent_def affineIndependent_def
theorem affineIndependent_of_subsingleton [Subsingleton ι] (p : ι → P) : AffineIndependent k p :=
fun _ _ h _ i hi => Fintype.eq_of_subsingleton_of_sum_eq h i hi
#align affine_independent_of_subsingleton affineIndependent_of_subsingleton
theorem affineIndependent_iff_of_fintype [Fintype ι] (p : ι → P) :
AffineIndependent k p ↔
∀ w : ι → k, ∑ i, w i = 0 → Finset.univ.weightedVSub p w = (0 : V) → ∀ i, w i = 0 := by
constructor
· exact fun h w hw hs i => h Finset.univ w hw hs i (Finset.mem_univ _)
· intro h s w hw hs i hi
rw [Finset.weightedVSub_indicator_subset _ _ (Finset.subset_univ s)] at hs
rw [← Finset.sum_indicator_subset _ (Finset.subset_univ s)] at hw
replace h := h ((↑s : Set ι).indicator w) hw hs i
simpa [hi] using h
#align affine_independent_iff_of_fintype affineIndependent_iff_of_fintype
| Mathlib/LinearAlgebra/AffineSpace/Independent.lean | 86 | 134 | theorem affineIndependent_iff_linearIndependent_vsub (p : ι → P) (i1 : ι) :
AffineIndependent k p ↔ LinearIndependent k fun i : { x // x ≠ i1 } => (p i -ᵥ p i1 : V) := by |
classical
constructor
· intro h
rw [linearIndependent_iff']
intro s g hg i hi
set f : ι → k := fun x => if hx : x = i1 then -∑ y ∈ s, g y else g ⟨x, hx⟩ with hfdef
let s2 : Finset ι := insert i1 (s.map (Embedding.subtype _))
have hfg : ∀ x : { x // x ≠ i1 }, g x = f x := by
intro x
rw [hfdef]
dsimp only
erw [dif_neg x.property, Subtype.coe_eta]
rw [hfg]
have hf : ∑ ι ∈ s2, f ι = 0 := by
rw [Finset.sum_insert
(Finset.not_mem_map_subtype_of_not_property s (Classical.not_not.2 rfl)),
Finset.sum_subtype_map_embedding fun x _ => (hfg x).symm]
rw [hfdef]
dsimp only
rw [dif_pos rfl]
exact neg_add_self _
have hs2 : s2.weightedVSub p f = (0 : V) := by
set f2 : ι → V := fun x => f x • (p x -ᵥ p i1) with hf2def
set g2 : { x // x ≠ i1 } → V := fun x => g x • (p x -ᵥ p i1)
have hf2g2 : ∀ x : { x // x ≠ i1 }, f2 x = g2 x := by
simp only [g2, hf2def]
refine fun x => ?_
rw [hfg]
rw [Finset.weightedVSub_eq_weightedVSubOfPoint_of_sum_eq_zero s2 f p hf (p i1),
Finset.weightedVSubOfPoint_insert, Finset.weightedVSubOfPoint_apply,
Finset.sum_subtype_map_embedding fun x _ => hf2g2 x]
exact hg
exact h s2 f hf hs2 i (Finset.mem_insert_of_mem (Finset.mem_map.2 ⟨i, hi, rfl⟩))
· intro h
rw [linearIndependent_iff'] at h
intro s w hw hs i hi
rw [Finset.weightedVSub_eq_weightedVSubOfPoint_of_sum_eq_zero s w p hw (p i1), ←
s.weightedVSubOfPoint_erase w p i1, Finset.weightedVSubOfPoint_apply] at hs
let f : ι → V := fun i => w i • (p i -ᵥ p i1)
have hs2 : (∑ i ∈ (s.erase i1).subtype fun i => i ≠ i1, f i) = 0 := by
rw [← hs]
convert Finset.sum_subtype_of_mem f fun x => Finset.ne_of_mem_erase
have h2 := h ((s.erase i1).subtype fun i => i ≠ i1) (fun x => w x) hs2
simp_rw [Finset.mem_subtype] at h2
have h2b : ∀ i ∈ s, i ≠ i1 → w i = 0 := fun i his hi =>
h2 ⟨i, hi⟩ (Finset.mem_erase_of_ne_of_mem hi his)
exact Finset.eq_zero_of_sum_eq_zero hw h2b i hi
| 47 | 258,131,288,619,006,750,000 | 2 | 2 | 3 | 1,945 |
import Mathlib.Data.Finset.Sort
import Mathlib.Data.Fin.VecNotation
import Mathlib.Data.Sign
import Mathlib.LinearAlgebra.AffineSpace.Combination
import Mathlib.LinearAlgebra.AffineSpace.AffineEquiv
import Mathlib.LinearAlgebra.Basis.VectorSpace
#align_import linear_algebra.affine_space.independent from "leanprover-community/mathlib"@"2de9c37fa71dde2f1c6feff19876dd6a7b1519f0"
noncomputable section
open Finset Function
open scoped Affine
section AffineIndependent
variable (k : Type*) {V : Type*} {P : Type*} [Ring k] [AddCommGroup V] [Module k V]
variable [AffineSpace V P] {ι : Type*}
def AffineIndependent (p : ι → P) : Prop :=
∀ (s : Finset ι) (w : ι → k),
∑ i ∈ s, w i = 0 → s.weightedVSub p w = (0 : V) → ∀ i ∈ s, w i = 0
#align affine_independent AffineIndependent
theorem affineIndependent_def (p : ι → P) :
AffineIndependent k p ↔
∀ (s : Finset ι) (w : ι → k),
∑ i ∈ s, w i = 0 → s.weightedVSub p w = (0 : V) → ∀ i ∈ s, w i = 0 :=
Iff.rfl
#align affine_independent_def affineIndependent_def
theorem affineIndependent_of_subsingleton [Subsingleton ι] (p : ι → P) : AffineIndependent k p :=
fun _ _ h _ i hi => Fintype.eq_of_subsingleton_of_sum_eq h i hi
#align affine_independent_of_subsingleton affineIndependent_of_subsingleton
theorem affineIndependent_iff_of_fintype [Fintype ι] (p : ι → P) :
AffineIndependent k p ↔
∀ w : ι → k, ∑ i, w i = 0 → Finset.univ.weightedVSub p w = (0 : V) → ∀ i, w i = 0 := by
constructor
· exact fun h w hw hs i => h Finset.univ w hw hs i (Finset.mem_univ _)
· intro h s w hw hs i hi
rw [Finset.weightedVSub_indicator_subset _ _ (Finset.subset_univ s)] at hs
rw [← Finset.sum_indicator_subset _ (Finset.subset_univ s)] at hw
replace h := h ((↑s : Set ι).indicator w) hw hs i
simpa [hi] using h
#align affine_independent_iff_of_fintype affineIndependent_iff_of_fintype
theorem affineIndependent_iff_linearIndependent_vsub (p : ι → P) (i1 : ι) :
AffineIndependent k p ↔ LinearIndependent k fun i : { x // x ≠ i1 } => (p i -ᵥ p i1 : V) := by
classical
constructor
· intro h
rw [linearIndependent_iff']
intro s g hg i hi
set f : ι → k := fun x => if hx : x = i1 then -∑ y ∈ s, g y else g ⟨x, hx⟩ with hfdef
let s2 : Finset ι := insert i1 (s.map (Embedding.subtype _))
have hfg : ∀ x : { x // x ≠ i1 }, g x = f x := by
intro x
rw [hfdef]
dsimp only
erw [dif_neg x.property, Subtype.coe_eta]
rw [hfg]
have hf : ∑ ι ∈ s2, f ι = 0 := by
rw [Finset.sum_insert
(Finset.not_mem_map_subtype_of_not_property s (Classical.not_not.2 rfl)),
Finset.sum_subtype_map_embedding fun x _ => (hfg x).symm]
rw [hfdef]
dsimp only
rw [dif_pos rfl]
exact neg_add_self _
have hs2 : s2.weightedVSub p f = (0 : V) := by
set f2 : ι → V := fun x => f x • (p x -ᵥ p i1) with hf2def
set g2 : { x // x ≠ i1 } → V := fun x => g x • (p x -ᵥ p i1)
have hf2g2 : ∀ x : { x // x ≠ i1 }, f2 x = g2 x := by
simp only [g2, hf2def]
refine fun x => ?_
rw [hfg]
rw [Finset.weightedVSub_eq_weightedVSubOfPoint_of_sum_eq_zero s2 f p hf (p i1),
Finset.weightedVSubOfPoint_insert, Finset.weightedVSubOfPoint_apply,
Finset.sum_subtype_map_embedding fun x _ => hf2g2 x]
exact hg
exact h s2 f hf hs2 i (Finset.mem_insert_of_mem (Finset.mem_map.2 ⟨i, hi, rfl⟩))
· intro h
rw [linearIndependent_iff'] at h
intro s w hw hs i hi
rw [Finset.weightedVSub_eq_weightedVSubOfPoint_of_sum_eq_zero s w p hw (p i1), ←
s.weightedVSubOfPoint_erase w p i1, Finset.weightedVSubOfPoint_apply] at hs
let f : ι → V := fun i => w i • (p i -ᵥ p i1)
have hs2 : (∑ i ∈ (s.erase i1).subtype fun i => i ≠ i1, f i) = 0 := by
rw [← hs]
convert Finset.sum_subtype_of_mem f fun x => Finset.ne_of_mem_erase
have h2 := h ((s.erase i1).subtype fun i => i ≠ i1) (fun x => w x) hs2
simp_rw [Finset.mem_subtype] at h2
have h2b : ∀ i ∈ s, i ≠ i1 → w i = 0 := fun i his hi =>
h2 ⟨i, hi⟩ (Finset.mem_erase_of_ne_of_mem hi his)
exact Finset.eq_zero_of_sum_eq_zero hw h2b i hi
#align affine_independent_iff_linear_independent_vsub affineIndependent_iff_linearIndependent_vsub
| Mathlib/LinearAlgebra/AffineSpace/Independent.lean | 139 | 158 | theorem affineIndependent_set_iff_linearIndependent_vsub {s : Set P} {p₁ : P} (hp₁ : p₁ ∈ s) :
AffineIndependent k (fun p => p : s → P) ↔
LinearIndependent k (fun v => v : (fun p => (p -ᵥ p₁ : V)) '' (s \ {p₁}) → V) := by |
rw [affineIndependent_iff_linearIndependent_vsub k (fun p => p : s → P) ⟨p₁, hp₁⟩]
constructor
· intro h
have hv : ∀ v : (fun p => (p -ᵥ p₁ : V)) '' (s \ {p₁}), (v : V) +ᵥ p₁ ∈ s \ {p₁} := fun v =>
(vsub_left_injective p₁).mem_set_image.1 ((vadd_vsub (v : V) p₁).symm ▸ v.property)
let f : (fun p : P => (p -ᵥ p₁ : V)) '' (s \ {p₁}) → { x : s // x ≠ ⟨p₁, hp₁⟩ } := fun x =>
⟨⟨(x : V) +ᵥ p₁, Set.mem_of_mem_diff (hv x)⟩, fun hx =>
Set.not_mem_of_mem_diff (hv x) (Subtype.ext_iff.1 hx)⟩
convert h.comp f fun x1 x2 hx =>
Subtype.ext (vadd_right_cancel p₁ (Subtype.ext_iff.1 (Subtype.ext_iff.1 hx)))
ext v
exact (vadd_vsub (v : V) p₁).symm
· intro h
let f : { x : s // x ≠ ⟨p₁, hp₁⟩ } → (fun p : P => (p -ᵥ p₁ : V)) '' (s \ {p₁}) := fun x =>
⟨((x : s) : P) -ᵥ p₁, ⟨x, ⟨⟨(x : s).property, fun hx => x.property (Subtype.ext hx)⟩, rfl⟩⟩⟩
convert h.comp f fun x1 x2 hx =>
Subtype.ext (Subtype.ext (vsub_left_cancel (Subtype.ext_iff.1 hx)))
| 17 | 24,154,952.753575 | 2 | 2 | 3 | 1,945 |
import Mathlib.Data.Finset.Pi
import Mathlib.Data.Fintype.Basic
#align_import data.fintype.pi from "leanprover-community/mathlib"@"9003f28797c0664a49e4179487267c494477d853"
variable {α : Type*}
open Finset
namespace Fintype
variable [DecidableEq α] [Fintype α] {γ δ : α → Type*} {s : ∀ a, Finset (γ a)}
def piFinset (t : ∀ a, Finset (δ a)) : Finset (∀ a, δ a) :=
(Finset.univ.pi t).map ⟨fun f a => f a (mem_univ a), fun _ _ =>
by simp (config := {contextual := true}) [Function.funext_iff]⟩
#align fintype.pi_finset Fintype.piFinset
@[simp]
| Mathlib/Data/Fintype/Pi.lean | 34 | 42 | theorem mem_piFinset {t : ∀ a, Finset (δ a)} {f : ∀ a, δ a} : f ∈ piFinset t ↔ ∀ a, f a ∈ t a := by |
constructor
· simp only [piFinset, mem_map, and_imp, forall_prop_of_true, exists_prop, mem_univ, exists_imp,
mem_pi]
rintro g hg hgf a
rw [← hgf]
exact hg a
· simp only [piFinset, mem_map, forall_prop_of_true, exists_prop, mem_univ, mem_pi]
exact fun hf => ⟨fun a _ => f a, hf, rfl⟩
| 8 | 2,980.957987 | 2 | 2 | 1 | 1,946 |
import Mathlib.Data.List.Lex
import Mathlib.Data.Char
import Mathlib.Tactic.AdaptationNote
import Mathlib.Algebra.Order.Group.Nat
#align_import data.string.basic from "leanprover-community/mathlib"@"d13b3a4a392ea7273dfa4727dbd1892e26cfd518"
namespace String
def ltb (s₁ s₂ : Iterator) : Bool :=
if s₂.hasNext then
if s₁.hasNext then
if s₁.curr = s₂.curr then
ltb s₁.next s₂.next
else s₁.curr < s₂.curr
else true
else false
#align string.ltb String.ltb
instance LT' : LT String :=
⟨fun s₁ s₂ ↦ ltb s₁.iter s₂.iter⟩
#align string.has_lt' String.LT'
instance decidableLT : @DecidableRel String (· < ·) := by
simp only [LT']
infer_instance -- short-circuit type class inference
#align string.decidable_lt String.decidableLT
def ltb.inductionOn.{u} {motive : Iterator → Iterator → Sort u} (it₁ it₂ : Iterator)
(ind : ∀ s₁ s₂ i₁ i₂, Iterator.hasNext ⟨s₂, i₂⟩ → Iterator.hasNext ⟨s₁, i₁⟩ →
get s₁ i₁ = get s₂ i₂ → motive (Iterator.next ⟨s₁, i₁⟩) (Iterator.next ⟨s₂, i₂⟩) →
motive ⟨s₁, i₁⟩ ⟨s₂, i₂⟩)
(eq : ∀ s₁ s₂ i₁ i₂, Iterator.hasNext ⟨s₂, i₂⟩ → Iterator.hasNext ⟨s₁, i₁⟩ →
¬ get s₁ i₁ = get s₂ i₂ → motive ⟨s₁, i₁⟩ ⟨s₂, i₂⟩)
(base₁ : ∀ s₁ s₂ i₁ i₂, Iterator.hasNext ⟨s₂, i₂⟩ → ¬ Iterator.hasNext ⟨s₁, i₁⟩ →
motive ⟨s₁, i₁⟩ ⟨s₂, i₂⟩)
(base₂ : ∀ s₁ s₂ i₁ i₂, ¬ Iterator.hasNext ⟨s₂, i₂⟩ → motive ⟨s₁, i₁⟩ ⟨s₂, i₂⟩) :
motive it₁ it₂ :=
if h₂ : it₂.hasNext then
if h₁ : it₁.hasNext then
if heq : it₁.curr = it₂.curr then
ind it₁.s it₂.s it₁.i it₂.i h₂ h₁ heq (inductionOn it₁.next it₂.next ind eq base₁ base₂)
else eq it₁.s it₂.s it₁.i it₂.i h₂ h₁ heq
else base₁ it₁.s it₂.s it₁.i it₂.i h₂ h₁
else base₂ it₁.s it₂.s it₁.i it₂.i h₂
| Mathlib/Data/String/Basic.lean | 60 | 74 | theorem ltb_cons_addChar (c : Char) (cs₁ cs₂ : List Char) (i₁ i₂ : Pos) :
ltb ⟨⟨c :: cs₁⟩, i₁ + c⟩ ⟨⟨c :: cs₂⟩, i₂ + c⟩ = ltb ⟨⟨cs₁⟩, i₁⟩ ⟨⟨cs₂⟩, i₂⟩ := by |
apply ltb.inductionOn ⟨⟨cs₁⟩, i₁⟩ ⟨⟨cs₂⟩, i₂⟩ (motive := fun ⟨⟨cs₁⟩, i₁⟩ ⟨⟨cs₂⟩, i₂⟩ ↦
ltb ⟨⟨c :: cs₁⟩, i₁ + c⟩ ⟨⟨c :: cs₂⟩, i₂ + c⟩ =
ltb ⟨⟨cs₁⟩, i₁⟩ ⟨⟨cs₂⟩, i₂⟩) <;> simp only <;>
intro ⟨cs₁⟩ ⟨cs₂⟩ i₁ i₂ <;>
intros <;>
(conv => lhs; unfold ltb) <;> (conv => rhs; unfold ltb) <;>
simp only [Iterator.hasNext_cons_addChar, ite_false, ite_true, *]
· rename_i h₂ h₁ heq ih
simp only [Iterator.next, next, heq, Iterator.curr, get_cons_addChar, ite_true] at ih ⊢
repeat rw [Pos.addChar_right_comm _ c]
exact ih
· rename_i h₂ h₁ hne
simp [Iterator.curr, get_cons_addChar, hne]
| 13 | 442,413.392009 | 2 | 2 | 1 | 1,947 |
import Mathlib.Data.SetLike.Fintype
import Mathlib.Algebra.Divisibility.Prod
import Mathlib.RingTheory.Nakayama
import Mathlib.RingTheory.SimpleModule
import Mathlib.Tactic.RSuffices
#align_import ring_theory.artinian from "leanprover-community/mathlib"@"210657c4ea4a4a7b234392f70a3a2a83346dfa90"
open Set Filter Pointwise
class IsArtinian (R M) [Semiring R] [AddCommMonoid M] [Module R M] : Prop where
wellFounded_submodule_lt' : WellFounded ((· < ·) : Submodule R M → Submodule R M → Prop)
#align is_artinian IsArtinian
section
variable {R M P N : Type*}
variable [Ring R] [AddCommGroup M] [AddCommGroup P] [AddCommGroup N]
variable [Module R M] [Module R P] [Module R N]
open IsArtinian
theorem IsArtinian.wellFounded_submodule_lt (R M) [Semiring R] [AddCommMonoid M] [Module R M]
[IsArtinian R M] : WellFounded ((· < ·) : Submodule R M → Submodule R M → Prop) :=
IsArtinian.wellFounded_submodule_lt'
#align is_artinian.well_founded_submodule_lt IsArtinian.wellFounded_submodule_lt
theorem isArtinian_of_injective (f : M →ₗ[R] P) (h : Function.Injective f) [IsArtinian R P] :
IsArtinian R M :=
⟨Subrelation.wf
(fun {A B} hAB => show A.map f < B.map f from Submodule.map_strictMono_of_injective h hAB)
(InvImage.wf (Submodule.map f) (IsArtinian.wellFounded_submodule_lt R P))⟩
#align is_artinian_of_injective isArtinian_of_injective
instance isArtinian_submodule' [IsArtinian R M] (N : Submodule R M) : IsArtinian R N :=
isArtinian_of_injective N.subtype Subtype.val_injective
#align is_artinian_submodule' isArtinian_submodule'
theorem isArtinian_of_le {s t : Submodule R M} [IsArtinian R t] (h : s ≤ t) : IsArtinian R s :=
isArtinian_of_injective (Submodule.inclusion h) (Submodule.inclusion_injective h)
#align is_artinian_of_le isArtinian_of_le
variable (M)
theorem isArtinian_of_surjective (f : M →ₗ[R] P) (hf : Function.Surjective f) [IsArtinian R M] :
IsArtinian R P :=
⟨Subrelation.wf
(fun {A B} hAB =>
show A.comap f < B.comap f from Submodule.comap_strictMono_of_surjective hf hAB)
(InvImage.wf (Submodule.comap f) (IsArtinian.wellFounded_submodule_lt R M))⟩
#align is_artinian_of_surjective isArtinian_of_surjective
variable {M}
theorem isArtinian_of_linearEquiv (f : M ≃ₗ[R] P) [IsArtinian R M] : IsArtinian R P :=
isArtinian_of_surjective _ f.toLinearMap f.toEquiv.surjective
#align is_artinian_of_linear_equiv isArtinian_of_linearEquiv
theorem isArtinian_of_range_eq_ker [IsArtinian R M] [IsArtinian R P] (f : M →ₗ[R] N) (g : N →ₗ[R] P)
(hf : Function.Injective f) (hg : Function.Surjective g)
(h : LinearMap.range f = LinearMap.ker g) : IsArtinian R N :=
⟨wellFounded_lt_exact_sequence (IsArtinian.wellFounded_submodule_lt R M)
(IsArtinian.wellFounded_submodule_lt R P) (LinearMap.range f) (Submodule.map f)
(Submodule.comap f) (Submodule.comap g) (Submodule.map g) (Submodule.gciMapComap hf)
(Submodule.giMapComap hg)
(by simp [Submodule.map_comap_eq, inf_comm]) (by simp [Submodule.comap_map_eq, h])⟩
#align is_artinian_of_range_eq_ker isArtinian_of_range_eq_ker
instance isArtinian_prod [IsArtinian R M] [IsArtinian R P] : IsArtinian R (M × P) :=
isArtinian_of_range_eq_ker (LinearMap.inl R M P) (LinearMap.snd R M P) LinearMap.inl_injective
LinearMap.snd_surjective (LinearMap.range_inl R M P)
#align is_artinian_prod isArtinian_prod
instance (priority := 100) isArtinian_of_finite [Finite M] : IsArtinian R M :=
⟨Finite.wellFounded_of_trans_of_irrefl _⟩
#align is_artinian_of_finite isArtinian_of_finite
-- Porting note: elab_as_elim can only be global and cannot be changed on an imported decl
-- attribute [local elab_as_elim] Finite.induction_empty_option
instance isArtinian_pi {R ι : Type*} [Finite ι] :
∀ {M : ι → Type*} [Ring R] [∀ i, AddCommGroup (M i)],
∀ [∀ i, Module R (M i)], ∀ [∀ i, IsArtinian R (M i)], IsArtinian R (∀ i, M i) := by
apply Finite.induction_empty_option _ _ _ ι
· intro α β e hα M _ _ _ _
have := @hα
exact isArtinian_of_linearEquiv (LinearEquiv.piCongrLeft R M e)
· intro M _ _ _ _
infer_instance
· intro α _ ih M _ _ _ _
have := @ih
exact isArtinian_of_linearEquiv (LinearEquiv.piOptionEquivProd R).symm
#align is_artinian_pi isArtinian_pi
instance isArtinian_pi' {R ι M : Type*} [Ring R] [AddCommGroup M] [Module R M] [Finite ι]
[IsArtinian R M] : IsArtinian R (ι → M) :=
isArtinian_pi
#align is_artinian_pi' isArtinian_pi'
--porting note (#10754): new instance
instance isArtinian_finsupp {R ι M : Type*} [Ring R] [AddCommGroup M] [Module R M] [Finite ι]
[IsArtinian R M] : IsArtinian R (ι →₀ M) :=
isArtinian_of_linearEquiv (Finsupp.linearEquivFunOnFinite _ _ _).symm
end
open IsArtinian Submodule Function
section Ring
variable {R M : Type*} [Ring R] [AddCommGroup M] [Module R M]
theorem isArtinian_iff_wellFounded :
IsArtinian R M ↔ WellFounded ((· < ·) : Submodule R M → Submodule R M → Prop) :=
⟨fun h => h.1, IsArtinian.mk⟩
#align is_artinian_iff_well_founded isArtinian_iff_wellFounded
| Mathlib/RingTheory/Artinian.lean | 175 | 195 | theorem IsArtinian.finite_of_linearIndependent [Nontrivial R] [IsArtinian R M] {s : Set M}
(hs : LinearIndependent R ((↑) : s → M)) : s.Finite := by |
refine by_contradiction fun hf => (RelEmbedding.wellFounded_iff_no_descending_seq.1
(wellFounded_submodule_lt (R := R) (M := M))).elim' ?_
have f : ℕ ↪ s := Set.Infinite.natEmbedding s hf
have : ∀ n, (↑) ∘ f '' { m | n ≤ m } ⊆ s := by
rintro n x ⟨y, _, rfl⟩
exact (f y).2
have : ∀ a b : ℕ, a ≤ b ↔
span R (Subtype.val ∘ f '' { m | b ≤ m }) ≤ span R (Subtype.val ∘ f '' { m | a ≤ m }) := by
intro a b
rw [span_le_span_iff hs (this b) (this a),
Set.image_subset_image_iff (Subtype.coe_injective.comp f.injective), Set.subset_def]
simp only [Set.mem_setOf_eq]
exact ⟨fun hab x => le_trans hab, fun h => h _ le_rfl⟩
exact ⟨⟨fun n => span R (Subtype.val ∘ f '' { m | n ≤ m }), fun x y => by
rw [le_antisymm_iff, ← this y x, ← this x y]
exact fun ⟨h₁, h₂⟩ => le_antisymm_iff.2 ⟨h₂, h₁⟩⟩, by
intro a b
conv_rhs => rw [GT.gt, lt_iff_le_not_le, this, this, ← lt_iff_le_not_le]
rfl⟩
| 19 | 178,482,300.963187 | 2 | 2 | 1 | 1,948 |
import Mathlib.Algebra.BigOperators.Intervals
import Mathlib.Data.Nat.Factorial.BigOperators
import Mathlib.Data.ZMod.Basic
open Finset Nat
namespace ZMod
| Mathlib/Data/ZMod/Factorial.lean | 31 | 42 | theorem cast_descFactorial {n p : ℕ} (h : n ≤ p) :
(descFactorial (p - 1) n : ZMod p) = (-1) ^ n * n ! := by |
rw [descFactorial_eq_prod_range, ← prod_range_add_one_eq_factorial]
simp only [cast_prod]
nth_rw 2 [← card_range n]
rw [pow_card_mul_prod]
refine prod_congr rfl ?_
intro x hx
rw [← tsub_add_eq_tsub_tsub_swap,
Nat.cast_sub <| Nat.le_trans (Nat.add_one_le_iff.mpr (List.mem_range.mp hx)) h,
CharP.cast_eq_zero, zero_sub, cast_succ, neg_add_rev, mul_add, neg_mul, one_mul,
mul_one, add_comm]
| 10 | 22,026.465795 | 2 | 2 | 1 | 1,949 |
import Mathlib.Algebra.Homology.HomologicalComplex
import Mathlib.AlgebraicTopology.SimplicialObject
import Mathlib.CategoryTheory.Abelian.Basic
#align_import algebraic_topology.Moore_complex from "leanprover-community/mathlib"@"0bd2ea37bcba5769e14866170f251c9bc64e35d7"
universe v u
noncomputable section
open CategoryTheory CategoryTheory.Limits
open Opposite
namespace AlgebraicTopology
variable {C : Type*} [Category C] [Abelian C]
attribute [local instance] Abelian.hasPullbacks
namespace NormalizedMooreComplex
open CategoryTheory.Subobject
variable (X : SimplicialObject C)
def objX : ∀ n : ℕ, Subobject (X.obj (op (SimplexCategory.mk n)))
| 0 => ⊤
| n + 1 => Finset.univ.inf fun k : Fin (n + 1) => kernelSubobject (X.δ k.succ)
set_option linter.uppercaseLean3 false in
#align algebraic_topology.normalized_Moore_complex.obj_X AlgebraicTopology.NormalizedMooreComplex.objX
theorem objX_zero : objX X 0 = ⊤ :=
rfl
theorem objX_add_one (n) :
objX X (n + 1) = Finset.univ.inf fun k : Fin (n + 1) => kernelSubobject (X.δ k.succ) :=
rfl
attribute [eqns objX_zero objX_add_one] objX
attribute [simp] objX
@[simp]
def objD : ∀ n : ℕ, (objX X (n + 1) : C) ⟶ (objX X n : C)
| 0 => Subobject.arrow _ ≫ X.δ (0 : Fin 2) ≫ inv (⊤ : Subobject _).arrow
| n + 1 => by
-- The differential is `Subobject.arrow _ ≫ X.δ (0 : Fin (n+3))`,
-- factored through the intersection of the kernels.
refine factorThru _ (arrow _ ≫ X.δ (0 : Fin (n + 3))) ?_
-- We now need to show that it factors!
-- A morphism factors through an intersection of subobjects if it factors through each.
refine (finset_inf_factors _).mpr fun i _ => ?_
-- A morphism `f` factors through the kernel of `g` exactly if `f ≫ g = 0`.
apply kernelSubobject_factors
dsimp [objX]
-- Use a simplicial identity
erw [Category.assoc, ← X.δ_comp_δ (Fin.zero_le i.succ)]
-- We can rewrite the arrow out of the intersection of all the kernels as a composition
-- of a morphism we don't care about with the arrow out of the kernel of `X.δ i.succ.succ`.
rw [← factorThru_arrow _ _ (finset_inf_arrow_factors Finset.univ _ i.succ (by simp)),
Category.assoc, kernelSubobject_arrow_comp_assoc, zero_comp, comp_zero]
set_option linter.uppercaseLean3 false in
#align algebraic_topology.normalized_Moore_complex.obj_d AlgebraicTopology.NormalizedMooreComplex.objD
| Mathlib/AlgebraicTopology/MooreComplex.lean | 100 | 111 | theorem d_squared (n : ℕ) : objD X (n + 1) ≫ objD X n = 0 := by |
-- It's a pity we need to do a case split here;
-- after the first erw the proofs are almost identical
rcases n with _ | n <;> dsimp [objD]
· erw [Subobject.factorThru_arrow_assoc, Category.assoc,
← X.δ_comp_δ_assoc (Fin.zero_le (0 : Fin 2)),
← factorThru_arrow _ _ (finset_inf_arrow_factors Finset.univ _ (0 : Fin 2) (by simp)),
Category.assoc, kernelSubobject_arrow_comp_assoc, zero_comp, comp_zero]
· erw [factorThru_right, factorThru_eq_zero, factorThru_arrow_assoc, Category.assoc,
← X.δ_comp_δ (Fin.zero_le (0 : Fin (n + 3))),
← factorThru_arrow _ _ (finset_inf_arrow_factors Finset.univ _ (0 : Fin (n + 3)) (by simp)),
Category.assoc, kernelSubobject_arrow_comp_assoc, zero_comp, comp_zero]
| 11 | 59,874.141715 | 2 | 2 | 1 | 1,950 |
import Mathlib.Algebra.BigOperators.Intervals
import Mathlib.Algebra.GeomSum
import Mathlib.Algebra.Order.Ring.Abs
import Mathlib.Data.Nat.Bitwise
import Mathlib.Data.Nat.Log
import Mathlib.Data.Nat.Prime
import Mathlib.Data.Nat.Digits
import Mathlib.RingTheory.Multiplicity
#align_import data.nat.multiplicity from "leanprover-community/mathlib"@"ceb887ddf3344dab425292e497fa2af91498437c"
open Finset Nat multiplicity
open Nat
namespace Nat
| Mathlib/Data/Nat/Multiplicity.lean | 61 | 77 | theorem multiplicity_eq_card_pow_dvd {m n b : ℕ} (hm : m ≠ 1) (hn : 0 < n) (hb : log m n < b) :
multiplicity m n = ↑((Finset.Ico 1 b).filter fun i => m ^ i ∣ n).card :=
calc
multiplicity m n = ↑(Ico 1 <| (multiplicity m n).get (finite_nat_iff.2 ⟨hm, hn⟩) + 1).card := by |
simp
_ = ↑((Finset.Ico 1 b).filter fun i => m ^ i ∣ n).card :=
congr_arg _ <|
congr_arg card <|
Finset.ext fun i => by
rw [mem_filter, mem_Ico, mem_Ico, Nat.lt_succ_iff, ← @PartENat.coe_le_coe i,
PartENat.natCast_get, ← pow_dvd_iff_le_multiplicity, and_right_comm]
refine (and_iff_left_of_imp fun h => lt_of_le_of_lt ?_ hb).symm
cases' m with m
· rw [zero_pow, zero_dvd_iff] at h
exacts [(hn.ne' h.2).elim, one_le_iff_ne_zero.1 h.1]
exact le_log_of_pow_le (one_lt_iff_ne_zero_and_ne_one.2 ⟨m.succ_ne_zero, hm⟩)
(le_of_dvd hn h.2)
| 13 | 442,413.392009 | 2 | 2 | 3 | 1,951 |
import Mathlib.Algebra.BigOperators.Intervals
import Mathlib.Algebra.GeomSum
import Mathlib.Algebra.Order.Ring.Abs
import Mathlib.Data.Nat.Bitwise
import Mathlib.Data.Nat.Log
import Mathlib.Data.Nat.Prime
import Mathlib.Data.Nat.Digits
import Mathlib.RingTheory.Multiplicity
#align_import data.nat.multiplicity from "leanprover-community/mathlib"@"ceb887ddf3344dab425292e497fa2af91498437c"
open Finset Nat multiplicity
open Nat
namespace Nat
theorem multiplicity_eq_card_pow_dvd {m n b : ℕ} (hm : m ≠ 1) (hn : 0 < n) (hb : log m n < b) :
multiplicity m n = ↑((Finset.Ico 1 b).filter fun i => m ^ i ∣ n).card :=
calc
multiplicity m n = ↑(Ico 1 <| (multiplicity m n).get (finite_nat_iff.2 ⟨hm, hn⟩) + 1).card := by
simp
_ = ↑((Finset.Ico 1 b).filter fun i => m ^ i ∣ n).card :=
congr_arg _ <|
congr_arg card <|
Finset.ext fun i => by
rw [mem_filter, mem_Ico, mem_Ico, Nat.lt_succ_iff, ← @PartENat.coe_le_coe i,
PartENat.natCast_get, ← pow_dvd_iff_le_multiplicity, and_right_comm]
refine (and_iff_left_of_imp fun h => lt_of_le_of_lt ?_ hb).symm
cases' m with m
· rw [zero_pow, zero_dvd_iff] at h
exacts [(hn.ne' h.2).elim, one_le_iff_ne_zero.1 h.1]
exact le_log_of_pow_le (one_lt_iff_ne_zero_and_ne_one.2 ⟨m.succ_ne_zero, hm⟩)
(le_of_dvd hn h.2)
#align nat.multiplicity_eq_card_pow_dvd Nat.multiplicity_eq_card_pow_dvd
namespace Prime
theorem multiplicity_one {p : ℕ} (hp : p.Prime) : multiplicity p 1 = 0 :=
multiplicity.one_right hp.prime.not_unit
#align nat.prime.multiplicity_one Nat.Prime.multiplicity_one
theorem multiplicity_mul {p m n : ℕ} (hp : p.Prime) :
multiplicity p (m * n) = multiplicity p m + multiplicity p n :=
multiplicity.mul hp.prime
#align nat.prime.multiplicity_mul Nat.Prime.multiplicity_mul
theorem multiplicity_pow {p m n : ℕ} (hp : p.Prime) :
multiplicity p (m ^ n) = n • multiplicity p m :=
multiplicity.pow hp.prime
#align nat.prime.multiplicity_pow Nat.Prime.multiplicity_pow
theorem multiplicity_self {p : ℕ} (hp : p.Prime) : multiplicity p p = 1 :=
multiplicity.multiplicity_self hp.prime.not_unit hp.ne_zero
#align nat.prime.multiplicity_self Nat.Prime.multiplicity_self
theorem multiplicity_pow_self {p n : ℕ} (hp : p.Prime) : multiplicity p (p ^ n) = n :=
multiplicity.multiplicity_pow_self hp.ne_zero hp.prime.not_unit n
#align nat.prime.multiplicity_pow_self Nat.Prime.multiplicity_pow_self
| Mathlib/Data/Nat/Multiplicity.lean | 108 | 123 | theorem multiplicity_factorial {p : ℕ} (hp : p.Prime) :
∀ {n b : ℕ}, log p n < b → multiplicity p n ! = (∑ i ∈ Ico 1 b, n / p ^ i : ℕ)
| 0, b, _ => by simp [Ico, hp.multiplicity_one]
| n + 1, b, hb =>
calc
multiplicity p (n + 1)! = multiplicity p n ! + multiplicity p (n + 1) := by |
rw [factorial_succ, hp.multiplicity_mul, add_comm]
_ = (∑ i ∈ Ico 1 b, n / p ^ i : ℕ) +
((Finset.Ico 1 b).filter fun i => p ^ i ∣ n + 1).card := by
rw [multiplicity_factorial hp ((log_mono_right <| le_succ _).trans_lt hb), ←
multiplicity_eq_card_pow_dvd hp.ne_one (succ_pos _) hb]
_ = (∑ i ∈ Ico 1 b, (n / p ^ i + if p ^ i ∣ n + 1 then 1 else 0) : ℕ) := by
rw [sum_add_distrib, sum_boole]
simp
_ = (∑ i ∈ Ico 1 b, (n + 1) / p ^ i : ℕ) :=
congr_arg _ <| Finset.sum_congr rfl fun _ _ => (succ_div _ _).symm
| 10 | 22,026.465795 | 2 | 2 | 3 | 1,951 |
import Mathlib.Algebra.BigOperators.Intervals
import Mathlib.Algebra.GeomSum
import Mathlib.Algebra.Order.Ring.Abs
import Mathlib.Data.Nat.Bitwise
import Mathlib.Data.Nat.Log
import Mathlib.Data.Nat.Prime
import Mathlib.Data.Nat.Digits
import Mathlib.RingTheory.Multiplicity
#align_import data.nat.multiplicity from "leanprover-community/mathlib"@"ceb887ddf3344dab425292e497fa2af91498437c"
open Finset Nat multiplicity
open Nat
namespace Nat
theorem multiplicity_eq_card_pow_dvd {m n b : ℕ} (hm : m ≠ 1) (hn : 0 < n) (hb : log m n < b) :
multiplicity m n = ↑((Finset.Ico 1 b).filter fun i => m ^ i ∣ n).card :=
calc
multiplicity m n = ↑(Ico 1 <| (multiplicity m n).get (finite_nat_iff.2 ⟨hm, hn⟩) + 1).card := by
simp
_ = ↑((Finset.Ico 1 b).filter fun i => m ^ i ∣ n).card :=
congr_arg _ <|
congr_arg card <|
Finset.ext fun i => by
rw [mem_filter, mem_Ico, mem_Ico, Nat.lt_succ_iff, ← @PartENat.coe_le_coe i,
PartENat.natCast_get, ← pow_dvd_iff_le_multiplicity, and_right_comm]
refine (and_iff_left_of_imp fun h => lt_of_le_of_lt ?_ hb).symm
cases' m with m
· rw [zero_pow, zero_dvd_iff] at h
exacts [(hn.ne' h.2).elim, one_le_iff_ne_zero.1 h.1]
exact le_log_of_pow_le (one_lt_iff_ne_zero_and_ne_one.2 ⟨m.succ_ne_zero, hm⟩)
(le_of_dvd hn h.2)
#align nat.multiplicity_eq_card_pow_dvd Nat.multiplicity_eq_card_pow_dvd
namespace Prime
theorem multiplicity_one {p : ℕ} (hp : p.Prime) : multiplicity p 1 = 0 :=
multiplicity.one_right hp.prime.not_unit
#align nat.prime.multiplicity_one Nat.Prime.multiplicity_one
theorem multiplicity_mul {p m n : ℕ} (hp : p.Prime) :
multiplicity p (m * n) = multiplicity p m + multiplicity p n :=
multiplicity.mul hp.prime
#align nat.prime.multiplicity_mul Nat.Prime.multiplicity_mul
theorem multiplicity_pow {p m n : ℕ} (hp : p.Prime) :
multiplicity p (m ^ n) = n • multiplicity p m :=
multiplicity.pow hp.prime
#align nat.prime.multiplicity_pow Nat.Prime.multiplicity_pow
theorem multiplicity_self {p : ℕ} (hp : p.Prime) : multiplicity p p = 1 :=
multiplicity.multiplicity_self hp.prime.not_unit hp.ne_zero
#align nat.prime.multiplicity_self Nat.Prime.multiplicity_self
theorem multiplicity_pow_self {p n : ℕ} (hp : p.Prime) : multiplicity p (p ^ n) = n :=
multiplicity.multiplicity_pow_self hp.ne_zero hp.prime.not_unit n
#align nat.prime.multiplicity_pow_self Nat.Prime.multiplicity_pow_self
theorem multiplicity_factorial {p : ℕ} (hp : p.Prime) :
∀ {n b : ℕ}, log p n < b → multiplicity p n ! = (∑ i ∈ Ico 1 b, n / p ^ i : ℕ)
| 0, b, _ => by simp [Ico, hp.multiplicity_one]
| n + 1, b, hb =>
calc
multiplicity p (n + 1)! = multiplicity p n ! + multiplicity p (n + 1) := by
rw [factorial_succ, hp.multiplicity_mul, add_comm]
_ = (∑ i ∈ Ico 1 b, n / p ^ i : ℕ) +
((Finset.Ico 1 b).filter fun i => p ^ i ∣ n + 1).card := by
rw [multiplicity_factorial hp ((log_mono_right <| le_succ _).trans_lt hb), ←
multiplicity_eq_card_pow_dvd hp.ne_one (succ_pos _) hb]
_ = (∑ i ∈ Ico 1 b, (n / p ^ i + if p ^ i ∣ n + 1 then 1 else 0) : ℕ) := by
rw [sum_add_distrib, sum_boole]
simp
_ = (∑ i ∈ Ico 1 b, (n + 1) / p ^ i : ℕ) :=
congr_arg _ <| Finset.sum_congr rfl fun _ _ => (succ_div _ _).symm
#align nat.prime.multiplicity_factorial Nat.Prime.multiplicity_factorial
theorem sub_one_mul_multiplicity_factorial {n p : ℕ} (hp : p.Prime) :
(p - 1) * (multiplicity p n !).get (finite_nat_iff.mpr ⟨hp.ne_one, factorial_pos n⟩) =
n - (p.digits n).sum := by
simp only [multiplicity_factorial hp <| lt_succ_of_lt <| lt.base (log p n),
← Finset.sum_Ico_add' _ 0 _ 1, Ico_zero_eq_range,
← sub_one_mul_sum_log_div_pow_eq_sub_sum_digits]
rfl
| Mathlib/Data/Nat/Multiplicity.lean | 138 | 158 | theorem multiplicity_factorial_mul_succ {n p : ℕ} (hp : p.Prime) :
multiplicity p (p * (n + 1))! = multiplicity p (p * n)! + multiplicity p (n + 1) + 1 := by |
have hp' := hp.prime
have h0 : 2 ≤ p := hp.two_le
have h1 : 1 ≤ p * n + 1 := Nat.le_add_left _ _
have h2 : p * n + 1 ≤ p * (n + 1) := by linarith
have h3 : p * n + 1 ≤ p * (n + 1) + 1 := by omega
have hm : multiplicity p (p * n)! ≠ ⊤ := by
rw [Ne, eq_top_iff_not_finite, Classical.not_not, finite_nat_iff]
exact ⟨hp.ne_one, factorial_pos _⟩
revert hm
have h4 : ∀ m ∈ Ico (p * n + 1) (p * (n + 1)), multiplicity p m = 0 := by
intro m hm
rw [multiplicity_eq_zero, ← not_dvd_iff_between_consec_multiples _ hp.pos]
rw [mem_Ico] at hm
exact ⟨n, lt_of_succ_le hm.1, hm.2⟩
simp_rw [← prod_Ico_id_eq_factorial, multiplicity.Finset.prod hp', ← sum_Ico_consecutive _ h1 h3,
add_assoc]
intro h
rw [PartENat.add_left_cancel_iff h, sum_Ico_succ_top h2, multiplicity.mul hp',
hp.multiplicity_self, sum_congr rfl h4, sum_const_zero, zero_add, add_comm (1 : PartENat)]
| 19 | 178,482,300.963187 | 2 | 2 | 3 | 1,951 |
import Mathlib.RingTheory.Ideal.QuotientOperations
import Mathlib.RingTheory.Localization.Basic
#align_import ring_theory.localization.ideal from "leanprover-community/mathlib"@"e7f0ddbf65bd7181a85edb74b64bdc35ba4bdc74"
namespace IsLocalization
section CommSemiring
variable {R : Type*} [CommSemiring R] (M : Submonoid R) (S : Type*) [CommSemiring S]
variable [Algebra R S] [IsLocalization M S]
private def map_ideal (I : Ideal R) : Ideal S where
carrier := { z : S | ∃ x : I × M, z * algebraMap R S x.2 = algebraMap R S x.1 }
zero_mem' := ⟨⟨0, 1⟩, by simp⟩
add_mem' := by
rintro a b ⟨a', ha⟩ ⟨b', hb⟩
let Z : { x // x ∈ I } := ⟨(a'.2 : R) * (b'.1 : R) + (b'.2 : R) * (a'.1 : R),
I.add_mem (I.mul_mem_left _ b'.1.2) (I.mul_mem_left _ a'.1.2)⟩
use ⟨Z, a'.2 * b'.2⟩
simp only [RingHom.map_add, Submodule.coe_mk, Submonoid.coe_mul, RingHom.map_mul]
rw [add_mul, ← mul_assoc a, ha, mul_comm (algebraMap R S a'.2) (algebraMap R S b'.2), ←
mul_assoc b, hb]
ring
smul_mem' := by
rintro c x ⟨x', hx⟩
obtain ⟨c', hc⟩ := IsLocalization.surj M c
let Z : { x // x ∈ I } := ⟨c'.1 * x'.1, I.mul_mem_left c'.1 x'.1.2⟩
use ⟨Z, c'.2 * x'.2⟩
simp only [← hx, ← hc, smul_eq_mul, Submodule.coe_mk, Submonoid.coe_mul, RingHom.map_mul]
ring
-- Porting note: removed #align declaration since it is a private def
| Mathlib/RingTheory/Localization/Ideal.lean | 53 | 64 | theorem mem_map_algebraMap_iff {I : Ideal R} {z} : z ∈ Ideal.map (algebraMap R S) I ↔
∃ x : I × M, z * algebraMap R S x.2 = algebraMap R S x.1 := by |
constructor
· change _ → z ∈ map_ideal M S I
refine fun h => Ideal.mem_sInf.1 h fun z hz => ?_
obtain ⟨y, hy⟩ := hz
let Z : { x // x ∈ I } := ⟨y, hy.left⟩
use ⟨Z, 1⟩
simp [hy.right]
· rintro ⟨⟨a, s⟩, h⟩
rw [← Ideal.unit_mul_mem_iff_mem _ (map_units S s), mul_comm]
exact h.symm ▸ Ideal.mem_map_of_mem _ a.2
| 10 | 22,026.465795 | 2 | 2 | 4 | 1,952 |
import Mathlib.RingTheory.Ideal.QuotientOperations
import Mathlib.RingTheory.Localization.Basic
#align_import ring_theory.localization.ideal from "leanprover-community/mathlib"@"e7f0ddbf65bd7181a85edb74b64bdc35ba4bdc74"
namespace IsLocalization
section CommSemiring
variable {R : Type*} [CommSemiring R] (M : Submonoid R) (S : Type*) [CommSemiring S]
variable [Algebra R S] [IsLocalization M S]
private def map_ideal (I : Ideal R) : Ideal S where
carrier := { z : S | ∃ x : I × M, z * algebraMap R S x.2 = algebraMap R S x.1 }
zero_mem' := ⟨⟨0, 1⟩, by simp⟩
add_mem' := by
rintro a b ⟨a', ha⟩ ⟨b', hb⟩
let Z : { x // x ∈ I } := ⟨(a'.2 : R) * (b'.1 : R) + (b'.2 : R) * (a'.1 : R),
I.add_mem (I.mul_mem_left _ b'.1.2) (I.mul_mem_left _ a'.1.2)⟩
use ⟨Z, a'.2 * b'.2⟩
simp only [RingHom.map_add, Submodule.coe_mk, Submonoid.coe_mul, RingHom.map_mul]
rw [add_mul, ← mul_assoc a, ha, mul_comm (algebraMap R S a'.2) (algebraMap R S b'.2), ←
mul_assoc b, hb]
ring
smul_mem' := by
rintro c x ⟨x', hx⟩
obtain ⟨c', hc⟩ := IsLocalization.surj M c
let Z : { x // x ∈ I } := ⟨c'.1 * x'.1, I.mul_mem_left c'.1 x'.1.2⟩
use ⟨Z, c'.2 * x'.2⟩
simp only [← hx, ← hc, smul_eq_mul, Submodule.coe_mk, Submonoid.coe_mul, RingHom.map_mul]
ring
-- Porting note: removed #align declaration since it is a private def
theorem mem_map_algebraMap_iff {I : Ideal R} {z} : z ∈ Ideal.map (algebraMap R S) I ↔
∃ x : I × M, z * algebraMap R S x.2 = algebraMap R S x.1 := by
constructor
· change _ → z ∈ map_ideal M S I
refine fun h => Ideal.mem_sInf.1 h fun z hz => ?_
obtain ⟨y, hy⟩ := hz
let Z : { x // x ∈ I } := ⟨y, hy.left⟩
use ⟨Z, 1⟩
simp [hy.right]
· rintro ⟨⟨a, s⟩, h⟩
rw [← Ideal.unit_mul_mem_iff_mem _ (map_units S s), mul_comm]
exact h.symm ▸ Ideal.mem_map_of_mem _ a.2
#align is_localization.mem_map_algebra_map_iff IsLocalization.mem_map_algebraMap_iff
theorem map_comap (J : Ideal S) : Ideal.map (algebraMap R S) (Ideal.comap (algebraMap R S) J) = J :=
le_antisymm (Ideal.map_le_iff_le_comap.2 le_rfl) fun x hJ => by
obtain ⟨r, s, hx⟩ := mk'_surjective M x
rw [← hx] at hJ ⊢
exact
Ideal.mul_mem_right _ _
(Ideal.mem_map_of_mem _
(show (algebraMap R S) r ∈ J from
mk'_spec S r s ▸ J.mul_mem_right ((algebraMap R S) s) hJ))
#align is_localization.map_comap IsLocalization.map_comap
| Mathlib/RingTheory/Localization/Ideal.lean | 78 | 89 | theorem comap_map_of_isPrime_disjoint (I : Ideal R) (hI : I.IsPrime) (hM : Disjoint (M : Set R) I) :
Ideal.comap (algebraMap R S) (Ideal.map (algebraMap R S) I) = I := by |
refine le_antisymm ?_ Ideal.le_comap_map
refine (fun a ha => ?_)
obtain ⟨⟨b, s⟩, h⟩ := (mem_map_algebraMap_iff M S).1 (Ideal.mem_comap.1 ha)
replace h : algebraMap R S (s * a) = algebraMap R S b := by
simpa only [← map_mul, mul_comm] using h
obtain ⟨c, hc⟩ := (eq_iff_exists M S).1 h
have : ↑c * ↑s * a ∈ I := by
rw [mul_assoc, hc]
exact I.mul_mem_left c b.2
exact (hI.mem_or_mem this).resolve_left fun hsc => hM.le_bot ⟨(c * s).2, hsc⟩
| 10 | 22,026.465795 | 2 | 2 | 4 | 1,952 |
import Mathlib.RingTheory.Ideal.QuotientOperations
import Mathlib.RingTheory.Localization.Basic
#align_import ring_theory.localization.ideal from "leanprover-community/mathlib"@"e7f0ddbf65bd7181a85edb74b64bdc35ba4bdc74"
namespace IsLocalization
section CommSemiring
variable {R : Type*} [CommSemiring R] (M : Submonoid R) (S : Type*) [CommSemiring S]
variable [Algebra R S] [IsLocalization M S]
private def map_ideal (I : Ideal R) : Ideal S where
carrier := { z : S | ∃ x : I × M, z * algebraMap R S x.2 = algebraMap R S x.1 }
zero_mem' := ⟨⟨0, 1⟩, by simp⟩
add_mem' := by
rintro a b ⟨a', ha⟩ ⟨b', hb⟩
let Z : { x // x ∈ I } := ⟨(a'.2 : R) * (b'.1 : R) + (b'.2 : R) * (a'.1 : R),
I.add_mem (I.mul_mem_left _ b'.1.2) (I.mul_mem_left _ a'.1.2)⟩
use ⟨Z, a'.2 * b'.2⟩
simp only [RingHom.map_add, Submodule.coe_mk, Submonoid.coe_mul, RingHom.map_mul]
rw [add_mul, ← mul_assoc a, ha, mul_comm (algebraMap R S a'.2) (algebraMap R S b'.2), ←
mul_assoc b, hb]
ring
smul_mem' := by
rintro c x ⟨x', hx⟩
obtain ⟨c', hc⟩ := IsLocalization.surj M c
let Z : { x // x ∈ I } := ⟨c'.1 * x'.1, I.mul_mem_left c'.1 x'.1.2⟩
use ⟨Z, c'.2 * x'.2⟩
simp only [← hx, ← hc, smul_eq_mul, Submodule.coe_mk, Submonoid.coe_mul, RingHom.map_mul]
ring
-- Porting note: removed #align declaration since it is a private def
theorem mem_map_algebraMap_iff {I : Ideal R} {z} : z ∈ Ideal.map (algebraMap R S) I ↔
∃ x : I × M, z * algebraMap R S x.2 = algebraMap R S x.1 := by
constructor
· change _ → z ∈ map_ideal M S I
refine fun h => Ideal.mem_sInf.1 h fun z hz => ?_
obtain ⟨y, hy⟩ := hz
let Z : { x // x ∈ I } := ⟨y, hy.left⟩
use ⟨Z, 1⟩
simp [hy.right]
· rintro ⟨⟨a, s⟩, h⟩
rw [← Ideal.unit_mul_mem_iff_mem _ (map_units S s), mul_comm]
exact h.symm ▸ Ideal.mem_map_of_mem _ a.2
#align is_localization.mem_map_algebra_map_iff IsLocalization.mem_map_algebraMap_iff
theorem map_comap (J : Ideal S) : Ideal.map (algebraMap R S) (Ideal.comap (algebraMap R S) J) = J :=
le_antisymm (Ideal.map_le_iff_le_comap.2 le_rfl) fun x hJ => by
obtain ⟨r, s, hx⟩ := mk'_surjective M x
rw [← hx] at hJ ⊢
exact
Ideal.mul_mem_right _ _
(Ideal.mem_map_of_mem _
(show (algebraMap R S) r ∈ J from
mk'_spec S r s ▸ J.mul_mem_right ((algebraMap R S) s) hJ))
#align is_localization.map_comap IsLocalization.map_comap
theorem comap_map_of_isPrime_disjoint (I : Ideal R) (hI : I.IsPrime) (hM : Disjoint (M : Set R) I) :
Ideal.comap (algebraMap R S) (Ideal.map (algebraMap R S) I) = I := by
refine le_antisymm ?_ Ideal.le_comap_map
refine (fun a ha => ?_)
obtain ⟨⟨b, s⟩, h⟩ := (mem_map_algebraMap_iff M S).1 (Ideal.mem_comap.1 ha)
replace h : algebraMap R S (s * a) = algebraMap R S b := by
simpa only [← map_mul, mul_comm] using h
obtain ⟨c, hc⟩ := (eq_iff_exists M S).1 h
have : ↑c * ↑s * a ∈ I := by
rw [mul_assoc, hc]
exact I.mul_mem_left c b.2
exact (hI.mem_or_mem this).resolve_left fun hsc => hM.le_bot ⟨(c * s).2, hsc⟩
#align is_localization.comap_map_of_is_prime_disjoint IsLocalization.comap_map_of_isPrime_disjoint
def orderEmbedding : Ideal S ↪o Ideal R where
toFun J := Ideal.comap (algebraMap R S) J
inj' := Function.LeftInverse.injective (map_comap M S)
map_rel_iff' := by
rintro J₁ J₂
constructor
· exact fun hJ => (map_comap M S) J₁ ▸ (map_comap M S) J₂ ▸ Ideal.map_mono hJ
· exact fun hJ => Ideal.comap_mono hJ
#align is_localization.order_embedding IsLocalization.orderEmbedding
| Mathlib/RingTheory/Localization/Ideal.lean | 108 | 132 | theorem isPrime_iff_isPrime_disjoint (J : Ideal S) :
J.IsPrime ↔
(Ideal.comap (algebraMap R S) J).IsPrime ∧
Disjoint (M : Set R) ↑(Ideal.comap (algebraMap R S) J) := by |
constructor
· refine fun h =>
⟨⟨?_, ?_⟩,
Set.disjoint_left.mpr fun m hm1 hm2 =>
h.ne_top (Ideal.eq_top_of_isUnit_mem _ hm2 (map_units S ⟨m, hm1⟩))⟩
· refine fun hJ => h.ne_top ?_
rw [eq_top_iff, ← (orderEmbedding M S).le_iff_le]
exact le_of_eq hJ.symm
· intro x y hxy
rw [Ideal.mem_comap, RingHom.map_mul] at hxy
exact h.mem_or_mem hxy
· refine fun h => ⟨fun hJ => h.left.ne_top (eq_top_iff.2 ?_), ?_⟩
· rwa [eq_top_iff, ← (orderEmbedding M S).le_iff_le] at hJ
· intro x y hxy
obtain ⟨a, s, ha⟩ := mk'_surjective M x
obtain ⟨b, t, hb⟩ := mk'_surjective M y
have : mk' S (a * b) (s * t) ∈ J := by rwa [mk'_mul, ha, hb]
rw [mk'_mem_iff, ← Ideal.mem_comap] at this
have this₂ := (h.1).mul_mem_iff_mem_or_mem.1 this
rw [Ideal.mem_comap, Ideal.mem_comap] at this₂
rwa [← ha, ← hb, mk'_mem_iff, mk'_mem_iff]
| 21 | 1,318,815,734.483215 | 2 | 2 | 4 | 1,952 |
import Mathlib.RingTheory.Ideal.QuotientOperations
import Mathlib.RingTheory.Localization.Basic
#align_import ring_theory.localization.ideal from "leanprover-community/mathlib"@"e7f0ddbf65bd7181a85edb74b64bdc35ba4bdc74"
namespace IsLocalization
section CommRing
variable {R : Type*} [CommRing R] (M : Submonoid R) (S : Type*) [CommRing S]
variable [Algebra R S] [IsLocalization M S]
| Mathlib/RingTheory/Localization/Ideal.lean | 171 | 204 | theorem surjective_quotientMap_of_maximal_of_localization {I : Ideal S} [I.IsPrime] {J : Ideal R}
{H : J ≤ I.comap (algebraMap R S)} (hI : (I.comap (algebraMap R S)).IsMaximal) :
Function.Surjective (Ideal.quotientMap I (algebraMap R S) H) := by |
intro s
obtain ⟨s, rfl⟩ := Ideal.Quotient.mk_surjective s
obtain ⟨r, ⟨m, hm⟩, rfl⟩ := mk'_surjective M s
by_cases hM : (Ideal.Quotient.mk (I.comap (algebraMap R S))) m = 0
· have : I = ⊤ := by
rw [Ideal.eq_top_iff_one]
rw [Ideal.Quotient.eq_zero_iff_mem, Ideal.mem_comap] at hM
convert I.mul_mem_right (mk' S (1 : R) ⟨m, hm⟩) hM
rw [← mk'_eq_mul_mk'_one, mk'_self]
exact ⟨0, eq_comm.1 (by simp [Ideal.Quotient.eq_zero_iff_mem, this])⟩
· rw [Ideal.Quotient.maximal_ideal_iff_isField_quotient] at hI
obtain ⟨n, hn⟩ := hI.3 hM
obtain ⟨rn, rfl⟩ := Ideal.Quotient.mk_surjective n
refine ⟨(Ideal.Quotient.mk J) (r * rn), ?_⟩
-- The rest of the proof is essentially just algebraic manipulations to prove the equality
replace hn := congr_arg (Ideal.quotientMap I (algebraMap R S) le_rfl) hn
rw [RingHom.map_one, RingHom.map_mul] at hn
rw [Ideal.quotientMap_mk, ← sub_eq_zero, ← RingHom.map_sub, Ideal.Quotient.eq_zero_iff_mem, ←
Ideal.Quotient.eq_zero_iff_mem, RingHom.map_sub, sub_eq_zero, mk'_eq_mul_mk'_one]
simp only [mul_eq_mul_left_iff, RingHom.map_mul]
refine
Or.inl
(mul_left_cancel₀ (M₀ := S ⧸ I)
(fun hn =>
hM
(Ideal.Quotient.eq_zero_iff_mem.2
(Ideal.mem_comap.2 (Ideal.Quotient.eq_zero_iff_mem.1 hn))))
(_root_.trans hn ?_))
-- Porting note (#10691): was `rw`, but this took extremely long.
refine Eq.trans ?_ (RingHom.map_mul (Ideal.Quotient.mk I) (algebraMap R S m) (mk' S 1 ⟨m, hm⟩))
rw [← mk'_eq_mul_mk'_one, mk'_self, RingHom.map_one]
| 31 | 29,048,849,665,247.426 | 2 | 2 | 4 | 1,952 |
import Mathlib.CategoryTheory.Comma.StructuredArrow
import Mathlib.CategoryTheory.IsConnected
import Mathlib.CategoryTheory.Limits.Preserves.Shapes.Terminal
import Mathlib.CategoryTheory.Limits.Shapes.Types
import Mathlib.CategoryTheory.Filtered.Basic
import Mathlib.CategoryTheory.Limits.Yoneda
import Mathlib.CategoryTheory.PUnit
#align_import category_theory.limits.final from "leanprover-community/mathlib"@"8a318021995877a44630c898d0b2bc376fceef3b"
noncomputable section
universe v v₁ v₂ v₃ u₁ u₂ u₃
namespace CategoryTheory
namespace Functor
open Opposite
open CategoryTheory.Limits
section ArbitraryUniverse
variable {C : Type u₁} [Category.{v₁} C]
variable {D : Type u₂} [Category.{v₂} D]
class Final (F : C ⥤ D) : Prop where
out (d : D) : IsConnected (StructuredArrow d F)
#align category_theory.functor.final CategoryTheory.Functor.Final
attribute [instance] Final.out
class Initial (F : C ⥤ D) : Prop where
out (d : D) : IsConnected (CostructuredArrow F d)
#align category_theory.functor.initial CategoryTheory.Functor.Initial
attribute [instance] Initial.out
instance final_op_of_initial (F : C ⥤ D) [Initial F] : Final F.op where
out d := isConnected_of_equivalent (costructuredArrowOpEquivalence F (unop d))
#align category_theory.functor.final_op_of_initial CategoryTheory.Functor.final_op_of_initial
instance initial_op_of_final (F : C ⥤ D) [Final F] : Initial F.op where
out d := isConnected_of_equivalent (structuredArrowOpEquivalence F (unop d))
#align category_theory.functor.initial_op_of_final CategoryTheory.Functor.initial_op_of_final
theorem final_of_initial_op (F : C ⥤ D) [Initial F.op] : Final F :=
{
out := fun d =>
@isConnected_of_isConnected_op _ _
(isConnected_of_equivalent (structuredArrowOpEquivalence F d).symm) }
#align category_theory.functor.final_of_initial_op CategoryTheory.Functor.final_of_initial_op
theorem initial_of_final_op (F : C ⥤ D) [Final F.op] : Initial F :=
{
out := fun d =>
@isConnected_of_isConnected_op _ _
(isConnected_of_equivalent (costructuredArrowOpEquivalence F d).symm) }
#align category_theory.functor.initial_of_final_op CategoryTheory.Functor.initial_of_final_op
theorem final_of_adjunction {L : C ⥤ D} {R : D ⥤ C} (adj : L ⊣ R) : Final R :=
{ out := fun c =>
let u : StructuredArrow c R := StructuredArrow.mk (adj.unit.app c)
@zigzag_isConnected _ _ ⟨u⟩ fun f g =>
Relation.ReflTransGen.trans
(Relation.ReflTransGen.single
(show Zag f u from
Or.inr ⟨StructuredArrow.homMk ((adj.homEquiv c f.right).symm f.hom) (by simp [u])⟩))
(Relation.ReflTransGen.single
(show Zag u g from
Or.inl ⟨StructuredArrow.homMk ((adj.homEquiv c g.right).symm g.hom) (by simp [u])⟩)) }
#align category_theory.functor.final_of_adjunction CategoryTheory.Functor.final_of_adjunction
theorem initial_of_adjunction {L : C ⥤ D} {R : D ⥤ C} (adj : L ⊣ R) : Initial L :=
{ out := fun d =>
let u : CostructuredArrow L d := CostructuredArrow.mk (adj.counit.app d)
@zigzag_isConnected _ _ ⟨u⟩ fun f g =>
Relation.ReflTransGen.trans
(Relation.ReflTransGen.single
(show Zag f u from
Or.inl ⟨CostructuredArrow.homMk (adj.homEquiv f.left d f.hom) (by simp [u])⟩))
(Relation.ReflTransGen.single
(show Zag u g from
Or.inr ⟨CostructuredArrow.homMk (adj.homEquiv g.left d g.hom) (by simp [u])⟩)) }
#align category_theory.functor.initial_of_adjunction CategoryTheory.Functor.initial_of_adjunction
instance (priority := 100) final_of_isRightAdjoint (F : C ⥤ D) [IsRightAdjoint F] : Final F :=
final_of_adjunction (Adjunction.ofIsRightAdjoint F)
#align category_theory.functor.final_of_is_right_adjoint CategoryTheory.Functor.final_of_isRightAdjoint
instance (priority := 100) initial_of_isLeftAdjoint (F : C ⥤ D) [IsLeftAdjoint F] : Initial F :=
initial_of_adjunction (Adjunction.ofIsLeftAdjoint F)
#align category_theory.functor.initial_of_is_left_adjoint CategoryTheory.Functor.initial_of_isLeftAdjoint
theorem final_of_natIso {F F' : C ⥤ D} [Final F] (i : F ≅ F') : Final F' where
out _ := isConnected_of_equivalent (StructuredArrow.mapNatIso i)
theorem final_natIso_iff {F F' : C ⥤ D} (i : F ≅ F') : Final F ↔ Final F' :=
⟨fun _ => final_of_natIso i, fun _ => final_of_natIso i.symm⟩
theorem initial_of_natIso {F F' : C ⥤ D} [Initial F] (i : F ≅ F') : Initial F' where
out _ := isConnected_of_equivalent (CostructuredArrow.mapNatIso i)
theorem initial_natIso_iff {F F' : C ⥤ D} (i : F ≅ F') : Initial F ↔ Initial F' :=
⟨fun _ => initial_of_natIso i, fun _ => initial_of_natIso i.symm⟩
section LocallySmall
variable {C : Type v} [Category.{v} C] {D : Type u₁} [Category.{v} D] (F : C ⥤ D)
namespace Final
| Mathlib/CategoryTheory/Limits/Final.lean | 386 | 404 | theorem zigzag_of_eqvGen_quot_rel {F : C ⥤ D} {d : D} {f₁ f₂ : ΣX, d ⟶ F.obj X}
(t : EqvGen (Types.Quot.Rel.{v, v} (F ⋙ coyoneda.obj (op d))) f₁ f₂) :
Zigzag (StructuredArrow.mk f₁.2) (StructuredArrow.mk f₂.2) := by |
induction t with
| rel x y r =>
obtain ⟨f, w⟩ := r
fconstructor
swap
· fconstructor
left; fconstructor
exact StructuredArrow.homMk f
| refl => fconstructor
| symm x y _ ih =>
apply zigzag_symmetric
exact ih
| trans x y z _ _ ih₁ ih₂ =>
apply Relation.ReflTransGen.trans
· exact ih₁
· exact ih₂
| 16 | 8,886,110.520508 | 2 | 2 | 1 | 1,953 |
import Mathlib.Algebra.Polynomial.RingDivision
import Mathlib.RingTheory.Polynomial.Nilpotent
open scoped Classical Polynomial
open Polynomial
noncomputable section
| Mathlib/RingTheory/Polynomial/IrreducibleRing.lean | 37 | 61 | theorem Polynomial.Monic.irreducible_of_irreducible_map_of_isPrime_nilradical
{R S : Type*} [CommRing R] [(nilradical R).IsPrime] [CommRing S] [IsDomain S]
(φ : R →+* S) (f : R[X]) (hm : f.Monic) (hi : Irreducible (f.map φ)) : Irreducible f := by |
let R' := R ⧸ nilradical R
let ψ : R' →+* S := Ideal.Quotient.lift (nilradical R) φ
(haveI := RingHom.ker_isPrime φ; nilradical_le_prime (RingHom.ker φ))
let ι := algebraMap R R'
rw [show φ = ψ.comp ι from rfl, ← map_map] at hi
replace hi := hm.map ι |>.irreducible_of_irreducible_map _ _ hi
refine ⟨fun h ↦ hi.1 <| (mapRingHom ι).isUnit_map h, fun a b h ↦ ?_⟩
wlog hb : IsUnit (b.map ι) generalizing a b
· exact (this b a (mul_comm a b ▸ h)
(hi.2 _ _ (by rw [h, Polynomial.map_mul]) |>.resolve_right hb)).symm
have hn (i : ℕ) (hi : i ≠ 0) : IsNilpotent (b.coeff i) := by
obtain ⟨_, _, h⟩ := Polynomial.isUnit_iff.1 hb
simpa only [coeff_map, coeff_C, hi, ite_false, ← RingHom.mem_ker,
show RingHom.ker ι = nilradical R from Ideal.mk_ker] using congr(coeff $(h.symm) i)
refine .inr <| isUnit_of_coeff_isUnit_isNilpotent (isUnit_of_mul_isUnit_right
(x := a.coeff f.natDegree) <| (IsUnit.neg_iff _).1 ?_) hn
have hc : f.leadingCoeff = _ := congr(coeff $h f.natDegree)
rw [hm, coeff_mul, Finset.Nat.sum_antidiagonal_eq_sum_range_succ fun i j ↦ a.coeff i * b.coeff j,
Finset.sum_range_succ, ← sub_eq_iff_eq_add, Nat.sub_self] at hc
rw [← add_sub_cancel_left 1 (-(_ * _)), ← sub_eq_add_neg, hc]
exact IsNilpotent.isUnit_sub_one <| show _ ∈ nilradical R from sum_mem fun i hi ↦
Ideal.mul_mem_left _ _ <| hn _ <| Nat.sub_ne_zero_of_lt (List.mem_range.1 hi)
| 22 | 3,584,912,846.131591 | 2 | 2 | 1 | 1,954 |
import Mathlib.SetTheory.Game.Short
#align_import set_theory.game.state from "leanprover-community/mathlib"@"b134b2f5cf6dd25d4bbfd3c498b6e36c11a17225"
universe u
namespace SetTheory
namespace PGame
class State (S : Type u) where
turnBound : S → ℕ
l : S → Finset S
r : S → Finset S
left_bound : ∀ {s t : S}, t ∈ l s → turnBound t < turnBound s
right_bound : ∀ {s t : S}, t ∈ r s → turnBound t < turnBound s
#align pgame.state SetTheory.PGame.State
open State
variable {S : Type u} [State S]
| Mathlib/SetTheory/Game/State.lean | 50 | 54 | theorem turnBound_ne_zero_of_left_move {s t : S} (m : t ∈ l s) : turnBound s ≠ 0 := by |
intro h
have t := left_bound m
rw [h] at t
exact Nat.not_succ_le_zero _ t
| 4 | 54.59815 | 2 | 2 | 2 | 1,955 |
import Mathlib.SetTheory.Game.Short
#align_import set_theory.game.state from "leanprover-community/mathlib"@"b134b2f5cf6dd25d4bbfd3c498b6e36c11a17225"
universe u
namespace SetTheory
namespace PGame
class State (S : Type u) where
turnBound : S → ℕ
l : S → Finset S
r : S → Finset S
left_bound : ∀ {s t : S}, t ∈ l s → turnBound t < turnBound s
right_bound : ∀ {s t : S}, t ∈ r s → turnBound t < turnBound s
#align pgame.state SetTheory.PGame.State
open State
variable {S : Type u} [State S]
theorem turnBound_ne_zero_of_left_move {s t : S} (m : t ∈ l s) : turnBound s ≠ 0 := by
intro h
have t := left_bound m
rw [h] at t
exact Nat.not_succ_le_zero _ t
#align pgame.turn_bound_ne_zero_of_left_move SetTheory.PGame.turnBound_ne_zero_of_left_move
| Mathlib/SetTheory/Game/State.lean | 57 | 61 | theorem turnBound_ne_zero_of_right_move {s t : S} (m : t ∈ r s) : turnBound s ≠ 0 := by |
intro h
have t := right_bound m
rw [h] at t
exact Nat.not_succ_le_zero _ t
| 4 | 54.59815 | 2 | 2 | 2 | 1,955 |
import Mathlib.MeasureTheory.OuterMeasure.Operations
import Mathlib.Analysis.SpecificLimits.Basic
#align_import measure_theory.measure.outer_measure from "leanprover-community/mathlib"@"343e80208d29d2d15f8050b929aa50fe4ce71b55"
noncomputable section
open Set Function Filter
open scoped Classical NNReal Topology ENNReal
namespace MeasureTheory
namespace OuterMeasure
section OfFunction
-- Porting note: "set_option eqn_compiler.zeta true" removed
variable {α : Type*} (m : Set α → ℝ≥0∞) (m_empty : m ∅ = 0)
protected def ofFunction : OuterMeasure α :=
let μ s := ⨅ (f : ℕ → Set α) (_ : s ⊆ ⋃ i, f i), ∑' i, m (f i)
{ measureOf := μ
empty :=
le_antisymm
((iInf_le_of_le fun _ => ∅) <| iInf_le_of_le (empty_subset _) <| by simp [m_empty])
(zero_le _)
mono := fun {s₁ s₂} hs => iInf_mono fun f => iInf_mono' fun hb => ⟨hs.trans hb, le_rfl⟩
iUnion_nat := fun s _ =>
ENNReal.le_of_forall_pos_le_add <| by
intro ε hε (hb : (∑' i, μ (s i)) < ∞)
rcases ENNReal.exists_pos_sum_of_countable (ENNReal.coe_pos.2 hε).ne' ℕ with ⟨ε', hε', hl⟩
refine le_trans ?_ (add_le_add_left (le_of_lt hl) _)
rw [← ENNReal.tsum_add]
choose f hf using
show ∀ i, ∃ f : ℕ → Set α, (s i ⊆ ⋃ i, f i) ∧ (∑' i, m (f i)) < μ (s i) + ε' i by
intro i
have : μ (s i) < μ (s i) + ε' i :=
ENNReal.lt_add_right (ne_top_of_le_ne_top hb.ne <| ENNReal.le_tsum _)
(by simpa using (hε' i).ne')
rcases iInf_lt_iff.mp this with ⟨t, ht⟩
exists t
contrapose! ht
exact le_iInf ht
refine le_trans ?_ (ENNReal.tsum_le_tsum fun i => le_of_lt (hf i).2)
rw [← ENNReal.tsum_prod, ← Nat.pairEquiv.symm.tsum_eq]
refine iInf_le_of_le _ (iInf_le _ ?_)
apply iUnion_subset
intro i
apply Subset.trans (hf i).1
apply iUnion_subset
simp only [Nat.pairEquiv_symm_apply]
rw [iUnion_unpair]
intro j
apply subset_iUnion₂ i }
#align measure_theory.outer_measure.of_function MeasureTheory.OuterMeasure.ofFunction
theorem ofFunction_apply (s : Set α) :
OuterMeasure.ofFunction m m_empty s = ⨅ (t : ℕ → Set α) (_ : s ⊆ iUnion t), ∑' n, m (t n) :=
rfl
#align measure_theory.outer_measure.of_function_apply MeasureTheory.OuterMeasure.ofFunction_apply
variable {m m_empty}
theorem ofFunction_le (s : Set α) : OuterMeasure.ofFunction m m_empty s ≤ m s :=
let f : ℕ → Set α := fun i => Nat.casesOn i s fun _ => ∅
iInf_le_of_le f <|
iInf_le_of_le (subset_iUnion f 0) <|
le_of_eq <| tsum_eq_single 0 <| by
rintro (_ | i)
· simp
· simp [m_empty]
#align measure_theory.outer_measure.of_function_le MeasureTheory.OuterMeasure.ofFunction_le
theorem ofFunction_eq (s : Set α) (m_mono : ∀ ⦃t : Set α⦄, s ⊆ t → m s ≤ m t)
(m_subadd : ∀ s : ℕ → Set α, m (⋃ i, s i) ≤ ∑' i, m (s i)) :
OuterMeasure.ofFunction m m_empty s = m s :=
le_antisymm (ofFunction_le s) <|
le_iInf fun f => le_iInf fun hf => le_trans (m_mono hf) (m_subadd f)
#align measure_theory.outer_measure.of_function_eq MeasureTheory.OuterMeasure.ofFunction_eq
theorem le_ofFunction {μ : OuterMeasure α} :
μ ≤ OuterMeasure.ofFunction m m_empty ↔ ∀ s, μ s ≤ m s :=
⟨fun H s => le_trans (H s) (ofFunction_le s), fun H _ =>
le_iInf fun f =>
le_iInf fun hs =>
le_trans (μ.mono hs) <| le_trans (measure_iUnion_le f) <| ENNReal.tsum_le_tsum fun _ => H _⟩
#align measure_theory.outer_measure.le_of_function MeasureTheory.OuterMeasure.le_ofFunction
theorem isGreatest_ofFunction :
IsGreatest { μ : OuterMeasure α | ∀ s, μ s ≤ m s } (OuterMeasure.ofFunction m m_empty) :=
⟨fun _ => ofFunction_le _, fun _ => le_ofFunction.2⟩
#align measure_theory.outer_measure.is_greatest_of_function MeasureTheory.OuterMeasure.isGreatest_ofFunction
theorem ofFunction_eq_sSup : OuterMeasure.ofFunction m m_empty = sSup { μ | ∀ s, μ s ≤ m s } :=
(@isGreatest_ofFunction α m m_empty).isLUB.sSup_eq.symm
#align measure_theory.outer_measure.of_function_eq_Sup MeasureTheory.OuterMeasure.ofFunction_eq_sSup
| Mathlib/MeasureTheory/OuterMeasure/OfFunction.lean | 139 | 169 | theorem ofFunction_union_of_top_of_nonempty_inter {s t : Set α}
(h : ∀ u, (s ∩ u).Nonempty → (t ∩ u).Nonempty → m u = ∞) :
OuterMeasure.ofFunction m m_empty (s ∪ t) =
OuterMeasure.ofFunction m m_empty s + OuterMeasure.ofFunction m m_empty t := by |
refine le_antisymm (measure_union_le _ _) (le_iInf₂ fun f hf ↦ ?_)
set μ := OuterMeasure.ofFunction m m_empty
rcases Classical.em (∃ i, (s ∩ f i).Nonempty ∧ (t ∩ f i).Nonempty) with (⟨i, hs, ht⟩ | he)
· calc
μ s + μ t ≤ ∞ := le_top
_ = m (f i) := (h (f i) hs ht).symm
_ ≤ ∑' i, m (f i) := ENNReal.le_tsum i
set I := fun s => { i : ℕ | (s ∩ f i).Nonempty }
have hd : Disjoint (I s) (I t) := disjoint_iff_inf_le.mpr fun i hi => he ⟨i, hi⟩
have hI : ∀ u ⊆ s ∪ t, μ u ≤ ∑' i : I u, μ (f i) := fun u hu =>
calc
μ u ≤ μ (⋃ i : I u, f i) :=
μ.mono fun x hx =>
let ⟨i, hi⟩ := mem_iUnion.1 (hf (hu hx))
mem_iUnion.2 ⟨⟨i, ⟨x, hx, hi⟩⟩, hi⟩
_ ≤ ∑' i : I u, μ (f i) := measure_iUnion_le _
calc
μ s + μ t ≤ (∑' i : I s, μ (f i)) + ∑' i : I t, μ (f i) :=
add_le_add (hI _ subset_union_left) (hI _ subset_union_right)
_ = ∑' i : ↑(I s ∪ I t), μ (f i) :=
(tsum_union_disjoint (f := fun i => μ (f i)) hd ENNReal.summable ENNReal.summable).symm
_ ≤ ∑' i, μ (f i) :=
(tsum_le_tsum_of_inj (↑) Subtype.coe_injective (fun _ _ => zero_le _) (fun _ => le_rfl)
ENNReal.summable ENNReal.summable)
_ ≤ ∑' i, m (f i) := ENNReal.tsum_le_tsum fun i => ofFunction_le _
| 25 | 72,004,899,337.38586 | 2 | 2 | 1 | 1,956 |
import Mathlib.Topology.UniformSpace.AbsoluteValue
import Mathlib.Topology.Instances.Real
import Mathlib.Topology.Instances.Rat
import Mathlib.Topology.UniformSpace.Completion
#align_import topology.uniform_space.compare_reals from "leanprover-community/mathlib"@"e1a7bdeb4fd826b7e71d130d34988f0a2d26a177"
open Set Function Filter CauSeq UniformSpace
| Mathlib/Topology/UniformSpace/CompareReals.lean | 60 | 65 | theorem Rat.uniformSpace_eq :
(AbsoluteValue.abs : AbsoluteValue ℚ ℚ).uniformSpace = PseudoMetricSpace.toUniformSpace := by |
ext s
rw [(AbsoluteValue.hasBasis_uniformity _).mem_iff, Metric.uniformity_basis_dist_rat.mem_iff]
simp only [Rat.dist_eq, AbsoluteValue.abs_apply, ← Rat.cast_sub, ← Rat.cast_abs, Rat.cast_lt,
abs_sub_comm]
| 4 | 54.59815 | 2 | 2 | 1 | 1,957 |
import Mathlib.Algebra.Category.Ring.FilteredColimits
import Mathlib.Geometry.RingedSpace.SheafedSpace
import Mathlib.Topology.Sheaves.Stalks
import Mathlib.Algebra.Category.Ring.Colimits
import Mathlib.Algebra.Category.Ring.Limits
#align_import algebraic_geometry.ringed_space from "leanprover-community/mathlib"@"5dc6092d09e5e489106865241986f7f2ad28d4c8"
universe v u
open CategoryTheory
open TopologicalSpace
open Opposite
open TopCat
open TopCat.Presheaf
namespace AlgebraicGeometry
abbrev RingedSpace : TypeMax.{u+1, v+1} :=
SheafedSpace.{_, v, u} CommRingCat.{v}
set_option linter.uppercaseLean3 false in
#align algebraic_geometry.RingedSpace AlgebraicGeometry.RingedSpace
namespace RingedSpace
open SheafedSpace
variable (X : RingedSpace)
-- Porting note (#10670): this was not necessary in mathlib3
instance : CoeSort RingedSpace Type* where
coe X := X.carrier
| Mathlib/Geometry/RingedSpace/Basic.lean | 58 | 79 | theorem isUnit_res_of_isUnit_germ (U : Opens X) (f : X.presheaf.obj (op U)) (x : U)
(h : IsUnit (X.presheaf.germ x f)) :
∃ (V : Opens X) (i : V ⟶ U) (_ : x.1 ∈ V), IsUnit (X.presheaf.map i.op f) := by |
obtain ⟨g', heq⟩ := h.exists_right_inv
obtain ⟨V, hxV, g, rfl⟩ := X.presheaf.germ_exist x.1 g'
let W := U ⊓ V
have hxW : x.1 ∈ W := ⟨x.2, hxV⟩
-- Porting note: `erw` can't write into `HEq`, so this is replaced with another `HEq` in the
-- desired form
replace heq : (X.presheaf.germ ⟨x.val, hxW⟩) ((X.presheaf.map (U.infLELeft V).op) f *
(X.presheaf.map (U.infLERight V).op) g) = (X.presheaf.germ ⟨x.val, hxW⟩) 1 := by
dsimp [germ]
erw [map_mul, map_one, show X.presheaf.germ ⟨x, hxW⟩ ((X.presheaf.map (U.infLELeft V).op) f) =
X.presheaf.germ x f from X.presheaf.germ_res_apply (Opens.infLELeft U V) ⟨x.1, hxW⟩ f,
show X.presheaf.germ ⟨x, hxW⟩ (X.presheaf.map (U.infLERight V).op g) =
X.presheaf.germ ⟨x, hxV⟩ g from X.presheaf.germ_res_apply (Opens.infLERight U V) ⟨x.1, hxW⟩ g]
exact heq
obtain ⟨W', hxW', i₁, i₂, heq'⟩ := X.presheaf.germ_eq x.1 hxW hxW _ _ heq
use W', i₁ ≫ Opens.infLELeft U V, hxW'
rw [(X.presheaf.map i₂.op).map_one, (X.presheaf.map i₁.op).map_mul] at heq'
rw [← comp_apply, ← X.presheaf.map_comp, ← comp_apply, ← X.presheaf.map_comp, ← op_comp] at heq'
exact isUnit_of_mul_eq_one _ _ heq'
| 19 | 178,482,300.963187 | 2 | 2 | 2 | 1,958 |
import Mathlib.Algebra.Category.Ring.FilteredColimits
import Mathlib.Geometry.RingedSpace.SheafedSpace
import Mathlib.Topology.Sheaves.Stalks
import Mathlib.Algebra.Category.Ring.Colimits
import Mathlib.Algebra.Category.Ring.Limits
#align_import algebraic_geometry.ringed_space from "leanprover-community/mathlib"@"5dc6092d09e5e489106865241986f7f2ad28d4c8"
universe v u
open CategoryTheory
open TopologicalSpace
open Opposite
open TopCat
open TopCat.Presheaf
namespace AlgebraicGeometry
abbrev RingedSpace : TypeMax.{u+1, v+1} :=
SheafedSpace.{_, v, u} CommRingCat.{v}
set_option linter.uppercaseLean3 false in
#align algebraic_geometry.RingedSpace AlgebraicGeometry.RingedSpace
namespace RingedSpace
open SheafedSpace
variable (X : RingedSpace)
-- Porting note (#10670): this was not necessary in mathlib3
instance : CoeSort RingedSpace Type* where
coe X := X.carrier
theorem isUnit_res_of_isUnit_germ (U : Opens X) (f : X.presheaf.obj (op U)) (x : U)
(h : IsUnit (X.presheaf.germ x f)) :
∃ (V : Opens X) (i : V ⟶ U) (_ : x.1 ∈ V), IsUnit (X.presheaf.map i.op f) := by
obtain ⟨g', heq⟩ := h.exists_right_inv
obtain ⟨V, hxV, g, rfl⟩ := X.presheaf.germ_exist x.1 g'
let W := U ⊓ V
have hxW : x.1 ∈ W := ⟨x.2, hxV⟩
-- Porting note: `erw` can't write into `HEq`, so this is replaced with another `HEq` in the
-- desired form
replace heq : (X.presheaf.germ ⟨x.val, hxW⟩) ((X.presheaf.map (U.infLELeft V).op) f *
(X.presheaf.map (U.infLERight V).op) g) = (X.presheaf.germ ⟨x.val, hxW⟩) 1 := by
dsimp [germ]
erw [map_mul, map_one, show X.presheaf.germ ⟨x, hxW⟩ ((X.presheaf.map (U.infLELeft V).op) f) =
X.presheaf.germ x f from X.presheaf.germ_res_apply (Opens.infLELeft U V) ⟨x.1, hxW⟩ f,
show X.presheaf.germ ⟨x, hxW⟩ (X.presheaf.map (U.infLERight V).op g) =
X.presheaf.germ ⟨x, hxV⟩ g from X.presheaf.germ_res_apply (Opens.infLERight U V) ⟨x.1, hxW⟩ g]
exact heq
obtain ⟨W', hxW', i₁, i₂, heq'⟩ := X.presheaf.germ_eq x.1 hxW hxW _ _ heq
use W', i₁ ≫ Opens.infLELeft U V, hxW'
rw [(X.presheaf.map i₂.op).map_one, (X.presheaf.map i₁.op).map_mul] at heq'
rw [← comp_apply, ← X.presheaf.map_comp, ← comp_apply, ← X.presheaf.map_comp, ← op_comp] at heq'
exact isUnit_of_mul_eq_one _ _ heq'
set_option linter.uppercaseLean3 false in
#align algebraic_geometry.RingedSpace.is_unit_res_of_is_unit_germ AlgebraicGeometry.RingedSpace.isUnit_res_of_isUnit_germ
| Mathlib/Geometry/RingedSpace/Basic.lean | 84 | 125 | theorem isUnit_of_isUnit_germ (U : Opens X) (f : X.presheaf.obj (op U))
(h : ∀ x : U, IsUnit (X.presheaf.germ x f)) : IsUnit f := by |
-- We pick a cover of `U` by open sets `V x`, such that `f` is a unit on each `V x`.
choose V iVU m h_unit using fun x : U => X.isUnit_res_of_isUnit_germ U f x (h x)
have hcover : U ≤ iSup V := by
intro x hxU
-- Porting note: in Lean3 `rw` is sufficient
erw [Opens.mem_iSup]
exact ⟨⟨x, hxU⟩, m ⟨x, hxU⟩⟩
-- Let `g x` denote the inverse of `f` in `U x`.
choose g hg using fun x : U => IsUnit.exists_right_inv (h_unit x)
have ic : IsCompatible (sheaf X).val V g := by
intro x y
apply section_ext X.sheaf (V x ⊓ V y)
rintro ⟨z, hzVx, hzVy⟩
erw [germ_res_apply, germ_res_apply]
apply (IsUnit.mul_right_inj (h ⟨z, (iVU x).le hzVx⟩)).mp
-- Porting note: now need explicitly typing the rewrites
rw [← show X.presheaf.germ ⟨z, hzVx⟩ (X.presheaf.map (iVU x).op f) =
X.presheaf.germ ⟨z, ((iVU x) ⟨z, hzVx⟩).2⟩ f from
X.presheaf.germ_res_apply (iVU x) ⟨z, hzVx⟩ f]
-- Porting note: change was not necessary in Lean3
change X.presheaf.germ ⟨z, hzVx⟩ _ * (X.presheaf.germ ⟨z, hzVx⟩ _) =
X.presheaf.germ ⟨z, hzVx⟩ _ * X.presheaf.germ ⟨z, hzVy⟩ (g y)
rw [← RingHom.map_mul,
congr_arg (X.presheaf.germ (⟨z, hzVx⟩ : V x)) (hg x),
-- Porting note: now need explicitly typing the rewrites
show X.presheaf.germ ⟨z, hzVx⟩ (X.presheaf.map (iVU x).op f) =
X.presheaf.germ ⟨z, ((iVU x) ⟨z, hzVx⟩).2⟩ f from X.presheaf.germ_res_apply _ _ f,
-- Porting note: now need explicitly typing the rewrites
← show X.presheaf.germ ⟨z, hzVy⟩ (X.presheaf.map (iVU y).op f) =
X.presheaf.germ ⟨z, ((iVU x) ⟨z, hzVx⟩).2⟩ f from
X.presheaf.germ_res_apply (iVU y) ⟨z, hzVy⟩ f,
← RingHom.map_mul,
congr_arg (X.presheaf.germ (⟨z, hzVy⟩ : V y)) (hg y), RingHom.map_one, RingHom.map_one]
-- We claim that these local inverses glue together to a global inverse of `f`.
obtain ⟨gl, gl_spec, -⟩ := X.sheaf.existsUnique_gluing' V U iVU hcover g ic
apply isUnit_of_mul_eq_one f gl
apply X.sheaf.eq_of_locally_eq' V U iVU hcover
intro i
rw [RingHom.map_one, RingHom.map_mul, gl_spec]
exact hg i
| 40 | 235,385,266,837,019,970 | 2 | 2 | 2 | 1,958 |
import Mathlib.Algebra.Algebra.Tower
import Mathlib.Algebra.Module.BigOperators
import Mathlib.LinearAlgebra.Basis
#align_import ring_theory.algebra_tower from "leanprover-community/mathlib"@"94825b2b0b982306be14d891c4f063a1eca4f370"
open Pointwise
universe u v w u₁
variable (R : Type u) (S : Type v) (A : Type w) (B : Type u₁)
namespace IsScalarTower
section Semiring
open Finsupp
open scoped Classical
universe v₁ w₁
variable {R S A}
variable [Semiring R] [Semiring S] [AddCommMonoid A]
variable [Module R S] [Module S A] [Module R A] [IsScalarTower R S A]
| Mathlib/RingTheory/AlgebraTower.lean | 108 | 121 | theorem linearIndependent_smul {ι : Type v₁} {b : ι → S} {ι' : Type w₁} {c : ι' → A}
(hb : LinearIndependent R b) (hc : LinearIndependent S c) :
LinearIndependent R fun p : ι × ι' => b p.1 • c p.2 := by |
rw [linearIndependent_iff'] at hb hc; rw [linearIndependent_iff'']; rintro s g hg hsg ⟨i, k⟩
by_cases hik : (i, k) ∈ s
· have h1 : ∑ i ∈ s.image Prod.fst ×ˢ s.image Prod.snd, g i • b i.1 • c i.2 = 0 := by
rw [← hsg]
exact
(Finset.sum_subset Finset.subset_product fun p _ hp =>
show g p • b p.1 • c p.2 = 0 by rw [hg p hp, zero_smul]).symm
rw [Finset.sum_product_right] at h1
simp_rw [← smul_assoc, ← Finset.sum_smul] at h1
exact hb _ _ (hc _ _ h1 k (Finset.mem_image_of_mem _ hik)) i (Finset.mem_image_of_mem _ hik)
exact hg _ hik
| 11 | 59,874.141715 | 2 | 2 | 1 | 1,959 |
import Mathlib.Probability.Kernel.Disintegration.Integral
open MeasureTheory Set Filter MeasurableSpace
open scoped ENNReal MeasureTheory Topology ProbabilityTheory
namespace ProbabilityTheory
variable {α β Ω : Type*} {mα : MeasurableSpace α} {mβ : MeasurableSpace β}
[MeasurableSpace Ω] [StandardBorelSpace Ω] [Nonempty Ω]
section Measure
variable {ρ : Measure (α × Ω)} [IsFiniteMeasure ρ]
| Mathlib/Probability/Kernel/Disintegration/Unique.lean | 47 | 56 | theorem eq_condKernel_of_measure_eq_compProd' (κ : kernel α Ω) [IsSFiniteKernel κ]
(hκ : ρ = ρ.fst ⊗ₘ κ) {s : Set Ω} (hs : MeasurableSet s) :
∀ᵐ x ∂ρ.fst, κ x s = ρ.condKernel x s := by |
refine ae_eq_of_forall_set_lintegral_eq_of_sigmaFinite
(kernel.measurable_coe κ hs) (kernel.measurable_coe ρ.condKernel hs) (fun t ht _ ↦ ?_)
conv_rhs => rw [Measure.set_lintegral_condKernel_eq_measure_prod ht hs, hκ]
simp only [Measure.compProd_apply (ht.prod hs), Set.mem_prod, ← lintegral_indicator _ ht]
congr with x
by_cases hx : x ∈ t
all_goals simp [hx]
| 7 | 1,096.633158 | 2 | 2 | 2 | 1,960 |
import Mathlib.Probability.Kernel.Disintegration.Integral
open MeasureTheory Set Filter MeasurableSpace
open scoped ENNReal MeasureTheory Topology ProbabilityTheory
namespace ProbabilityTheory
variable {α β Ω : Type*} {mα : MeasurableSpace α} {mβ : MeasurableSpace β}
[MeasurableSpace Ω] [StandardBorelSpace Ω] [Nonempty Ω]
section Measure
variable {ρ : Measure (α × Ω)} [IsFiniteMeasure ρ]
theorem eq_condKernel_of_measure_eq_compProd' (κ : kernel α Ω) [IsSFiniteKernel κ]
(hκ : ρ = ρ.fst ⊗ₘ κ) {s : Set Ω} (hs : MeasurableSet s) :
∀ᵐ x ∂ρ.fst, κ x s = ρ.condKernel x s := by
refine ae_eq_of_forall_set_lintegral_eq_of_sigmaFinite
(kernel.measurable_coe κ hs) (kernel.measurable_coe ρ.condKernel hs) (fun t ht _ ↦ ?_)
conv_rhs => rw [Measure.set_lintegral_condKernel_eq_measure_prod ht hs, hκ]
simp only [Measure.compProd_apply (ht.prod hs), Set.mem_prod, ← lintegral_indicator _ ht]
congr with x
by_cases hx : x ∈ t
all_goals simp [hx]
lemma eq_condKernel_of_measure_eq_compProd_real {ρ : Measure (α × ℝ)} [IsFiniteMeasure ρ]
(κ : kernel α ℝ) [IsFiniteKernel κ] (hκ : ρ = ρ.fst ⊗ₘ κ) :
∀ᵐ x ∂ρ.fst, κ x = ρ.condKernel x := by
have huniv : ∀ᵐ x ∂ρ.fst, κ x Set.univ = ρ.condKernel x Set.univ :=
eq_condKernel_of_measure_eq_compProd' κ hκ MeasurableSet.univ
suffices ∀ᵐ x ∂ρ.fst, ∀ ⦃t⦄, MeasurableSet t → κ x t = ρ.condKernel x t by
filter_upwards [this] with x hx
ext t ht; exact hx ht
apply MeasurableSpace.ae_induction_on_inter Real.borel_eq_generateFrom_Iic_rat
Real.isPiSystem_Iic_rat
· simp
· simp only [iUnion_singleton_eq_range, mem_range, forall_exists_index, forall_apply_eq_imp_iff]
exact ae_all_iff.2 fun q ↦ eq_condKernel_of_measure_eq_compProd' κ hκ measurableSet_Iic
· filter_upwards [huniv] with x hxuniv t ht heq
rw [measure_compl ht <| measure_ne_top _ _, heq, hxuniv, measure_compl ht <| measure_ne_top _ _]
· refine ae_of_all _ (fun x f hdisj hf heq ↦ ?_)
rw [measure_iUnion hdisj hf, measure_iUnion hdisj hf]
exact tsum_congr heq
| Mathlib/Probability/Kernel/Disintegration/Unique.lean | 81 | 124 | theorem eq_condKernel_of_measure_eq_compProd (κ : kernel α Ω) [IsFiniteKernel κ]
(hκ : ρ = ρ.fst ⊗ₘ κ) :
∀ᵐ x ∂ρ.fst, κ x = ρ.condKernel x := by |
-- The idea is to transport the question to `ℝ` from `Ω` using `embeddingReal`
-- and then construct a measure on `α × ℝ`
let f := embeddingReal Ω
have hf := measurableEmbedding_embeddingReal Ω
set ρ' : Measure (α × ℝ) := ρ.map (Prod.map id f) with hρ'def
have hρ' : ρ'.fst = ρ.fst := by
ext s hs
rw [hρ'def, Measure.fst_apply, Measure.fst_apply, Measure.map_apply]
exacts [rfl, Measurable.prod measurable_fst <| hf.measurable.comp measurable_snd,
measurable_fst hs, hs, hs]
have hρ'' : ∀ᵐ x ∂ρ.fst, kernel.map κ f hf.measurable x = ρ'.condKernel x := by
rw [← hρ']
refine eq_condKernel_of_measure_eq_compProd_real (kernel.map κ f hf.measurable) ?_
ext s hs
conv_lhs => rw [hρ'def, hκ]
rw [Measure.map_apply (measurable_id.prod_map hf.measurable) hs, hρ',
Measure.compProd_apply hs, Measure.compProd_apply (measurable_id.prod_map hf.measurable hs)]
congr with a
rw [kernel.map_apply']
exacts [rfl, measurable_prod_mk_left hs]
suffices ∀ᵐ x ∂ρ.fst, ∀ s, MeasurableSet s → ρ'.condKernel x s = ρ.condKernel x (f ⁻¹' s) by
filter_upwards [hρ'', this] with x hx h
rw [kernel.map_apply] at hx
ext s hs
rw [← Set.preimage_image_eq s hf.injective,
← Measure.map_apply hf.measurable <| hf.measurableSet_image.2 hs, hx,
h _ <| hf.measurableSet_image.2 hs]
suffices ρ.map (Prod.map id f) = (ρ.fst ⊗ₘ (kernel.map ρ.condKernel f hf.measurable)) by
rw [← hρ'] at this
have heq := eq_condKernel_of_measure_eq_compProd_real _ this
rw [hρ'] at heq
filter_upwards [heq] with x hx s hs
rw [← hx, kernel.map_apply, Measure.map_apply hf.measurable hs]
ext s hs
conv_lhs => rw [← ρ.compProd_fst_condKernel]
rw [Measure.compProd_apply hs, Measure.map_apply (measurable_id.prod_map hf.measurable) hs,
Measure.compProd_apply]
· congr with a
rw [kernel.map_apply']
exacts [rfl, measurable_prod_mk_left hs]
· exact measurable_id.prod_map hf.measurable hs
| 41 | 639,843,493,530,055,000 | 2 | 2 | 2 | 1,960 |
import Mathlib.Algebra.Homology.Exact
import Mathlib.CategoryTheory.Limits.Shapes.Biproducts
import Mathlib.CategoryTheory.Adjunction.Limits
import Mathlib.CategoryTheory.Limits.Preserves.Finite
#align_import category_theory.preadditive.projective from "leanprover-community/mathlib"@"3974a774a707e2e06046a14c0eaef4654584fada"
noncomputable section
open CategoryTheory Limits Opposite
universe v u v' u'
namespace CategoryTheory
variable {C : Type u} [Category.{v} C]
class Projective (P : C) : Prop where
factors : ∀ {E X : C} (f : P ⟶ X) (e : E ⟶ X) [Epi e], ∃ f', f' ≫ e = f
#align category_theory.projective CategoryTheory.Projective
lemma Limits.IsZero.projective {X : C} (h : IsZero X) : Projective X where
factors _ _ _ := ⟨h.to_ _, h.eq_of_src _ _⟩
section
-- Porting note(#5171): was @[nolint has_nonempty_instance]
structure ProjectivePresentation (X : C) where
p : C
[projective : Projective p]
f : p ⟶ X
[epi : Epi f]
#align category_theory.projective_presentation CategoryTheory.ProjectivePresentation
attribute [instance] ProjectivePresentation.projective ProjectivePresentation.epi
variable (C)
class EnoughProjectives : Prop where
presentation : ∀ X : C, Nonempty (ProjectivePresentation X)
#align category_theory.enough_projectives CategoryTheory.EnoughProjectives
end
namespace Projective
def factorThru {P X E : C} [Projective P] (f : P ⟶ X) (e : E ⟶ X) [Epi e] : P ⟶ E :=
(Projective.factors f e).choose
#align category_theory.projective.factor_thru CategoryTheory.Projective.factorThru
@[reassoc (attr := simp)]
theorem factorThru_comp {P X E : C} [Projective P] (f : P ⟶ X) (e : E ⟶ X) [Epi e] :
factorThru f e ≫ e = f :=
(Projective.factors f e).choose_spec
#align category_theory.projective.factor_thru_comp CategoryTheory.Projective.factorThru_comp
section
open ZeroObject
instance zero_projective [HasZeroObject C] : Projective (0 : C) :=
(isZero_zero C).projective
#align category_theory.projective.zero_projective CategoryTheory.Projective.zero_projective
end
theorem of_iso {P Q : C} (i : P ≅ Q) (hP : Projective P) : Projective Q where
factors f e e_epi :=
let ⟨f', hf'⟩ := Projective.factors (i.hom ≫ f) e
⟨i.inv ≫ f', by simp [hf']⟩
#align category_theory.projective.of_iso CategoryTheory.Projective.of_iso
theorem iso_iff {P Q : C} (i : P ≅ Q) : Projective P ↔ Projective Q :=
⟨of_iso i, of_iso i.symm⟩
#align category_theory.projective.iso_iff CategoryTheory.Projective.iso_iff
instance (X : Type u) : Projective X where
factors f e _ :=
have he : Function.Surjective e := surjective_of_epi e
⟨fun x => (he (f x)).choose, funext fun x ↦ (he (f x)).choose_spec⟩
instance Type.enoughProjectives : EnoughProjectives (Type u) where
presentation X := ⟨⟨X, 𝟙 X⟩⟩
#align category_theory.projective.Type.enough_projectives CategoryTheory.Projective.Type.enoughProjectives
instance {P Q : C} [HasBinaryCoproduct P Q] [Projective P] [Projective Q] : Projective (P ⨿ Q) where
factors f e epi := ⟨coprod.desc (factorThru (coprod.inl ≫ f) e) (factorThru (coprod.inr ≫ f) e),
by aesop_cat⟩
instance {β : Type v} (g : β → C) [HasCoproduct g] [∀ b, Projective (g b)] : Projective (∐ g) where
factors f e epi := ⟨Sigma.desc fun b => factorThru (Sigma.ι g b ≫ f) e, by aesop_cat⟩
instance {P Q : C} [HasZeroMorphisms C] [HasBinaryBiproduct P Q] [Projective P] [Projective Q] :
Projective (P ⊞ Q) where
factors f e epi := ⟨biprod.desc (factorThru (biprod.inl ≫ f) e) (factorThru (biprod.inr ≫ f) e),
by aesop_cat⟩
instance {β : Type v} (g : β → C) [HasZeroMorphisms C] [HasBiproduct g] [∀ b, Projective (g b)] :
Projective (⨁ g) where
factors f e epi := ⟨biproduct.desc fun b => factorThru (biproduct.ι g b ≫ f) e, by aesop_cat⟩
theorem projective_iff_preservesEpimorphisms_coyoneda_obj (P : C) :
Projective P ↔ (coyoneda.obj (op P)).PreservesEpimorphisms :=
⟨fun hP =>
⟨fun f _ =>
(epi_iff_surjective _).2 fun g =>
have : Projective (unop (op P)) := hP
⟨factorThru g f, factorThru_comp _ _⟩⟩,
fun _ =>
⟨fun f e _ =>
(epi_iff_surjective _).1 (inferInstance : Epi ((coyoneda.obj (op P)).map e)) f⟩⟩
#align category_theory.projective.projective_iff_preserves_epimorphisms_coyoneda_obj CategoryTheory.Projective.projective_iff_preservesEpimorphisms_coyoneda_obj
namespace Adjunction
variable {D : Type u'} [Category.{v'} D] {F : C ⥤ D} {G : D ⥤ C}
| Mathlib/CategoryTheory/Preadditive/Projective.lean | 208 | 214 | theorem map_projective (adj : F ⊣ G) [G.PreservesEpimorphisms] (P : C) (hP : Projective P) :
Projective (F.obj P) where
factors f g _ := by |
rcases hP.factors (adj.unit.app P ≫ G.map f) (G.map g) with ⟨f', hf'⟩
use F.map f' ≫ adj.counit.app _
rw [Category.assoc, ← Adjunction.counit_naturality, ← Category.assoc, ← F.map_comp, hf']
simp
| 4 | 54.59815 | 2 | 2 | 1 | 1,961 |
import Mathlib.Data.List.Duplicate
import Mathlib.Data.List.Sort
#align_import data.list.nodup_equiv_fin from "leanprover-community/mathlib"@"008205aa645b3f194c1da47025c5f110c8406eab"
namespace List
variable {α : Type*}
section Sublist
| Mathlib/Data/List/NodupEquivFin.lean | 116 | 137 | theorem sublist_of_orderEmbedding_get?_eq {l l' : List α} (f : ℕ ↪o ℕ)
(hf : ∀ ix : ℕ, l.get? ix = l'.get? (f ix)) : l <+ l' := by |
induction' l with hd tl IH generalizing l' f
· simp
have : some hd = _ := hf 0
rw [eq_comm, List.get?_eq_some] at this
obtain ⟨w, h⟩ := this
let f' : ℕ ↪o ℕ :=
OrderEmbedding.ofMapLEIff (fun i => f (i + 1) - (f 0 + 1)) fun a b => by
dsimp only
rw [Nat.sub_le_sub_iff_right, OrderEmbedding.le_iff_le, Nat.succ_le_succ_iff]
rw [Nat.succ_le_iff, OrderEmbedding.lt_iff_lt]
exact b.succ_pos
have : ∀ ix, tl.get? ix = (l'.drop (f 0 + 1)).get? (f' ix) := by
intro ix
rw [List.get?_drop, OrderEmbedding.coe_ofMapLEIff, Nat.add_sub_cancel', ← hf, List.get?]
rw [Nat.succ_le_iff, OrderEmbedding.lt_iff_lt]
exact ix.succ_pos
rw [← List.take_append_drop (f 0 + 1) l', ← List.singleton_append]
apply List.Sublist.append _ (IH _ this)
rw [List.singleton_sublist, ← h, l'.get_take _ (Nat.lt_succ_self _)]
apply List.get_mem
| 20 | 485,165,195.40979 | 2 | 2 | 4 | 1,962 |
import Mathlib.Data.List.Duplicate
import Mathlib.Data.List.Sort
#align_import data.list.nodup_equiv_fin from "leanprover-community/mathlib"@"008205aa645b3f194c1da47025c5f110c8406eab"
namespace List
variable {α : Type*}
section Sublist
theorem sublist_of_orderEmbedding_get?_eq {l l' : List α} (f : ℕ ↪o ℕ)
(hf : ∀ ix : ℕ, l.get? ix = l'.get? (f ix)) : l <+ l' := by
induction' l with hd tl IH generalizing l' f
· simp
have : some hd = _ := hf 0
rw [eq_comm, List.get?_eq_some] at this
obtain ⟨w, h⟩ := this
let f' : ℕ ↪o ℕ :=
OrderEmbedding.ofMapLEIff (fun i => f (i + 1) - (f 0 + 1)) fun a b => by
dsimp only
rw [Nat.sub_le_sub_iff_right, OrderEmbedding.le_iff_le, Nat.succ_le_succ_iff]
rw [Nat.succ_le_iff, OrderEmbedding.lt_iff_lt]
exact b.succ_pos
have : ∀ ix, tl.get? ix = (l'.drop (f 0 + 1)).get? (f' ix) := by
intro ix
rw [List.get?_drop, OrderEmbedding.coe_ofMapLEIff, Nat.add_sub_cancel', ← hf, List.get?]
rw [Nat.succ_le_iff, OrderEmbedding.lt_iff_lt]
exact ix.succ_pos
rw [← List.take_append_drop (f 0 + 1) l', ← List.singleton_append]
apply List.Sublist.append _ (IH _ this)
rw [List.singleton_sublist, ← h, l'.get_take _ (Nat.lt_succ_self _)]
apply List.get_mem
#align list.sublist_of_order_embedding_nth_eq List.sublist_of_orderEmbedding_get?_eq
| Mathlib/Data/List/NodupEquivFin.lean | 144 | 161 | theorem sublist_iff_exists_orderEmbedding_get?_eq {l l' : List α} :
l <+ l' ↔ ∃ f : ℕ ↪o ℕ, ∀ ix : ℕ, l.get? ix = l'.get? (f ix) := by |
constructor
· intro H
induction' H with xs ys y _H IH xs ys x _H IH
· simp
· obtain ⟨f, hf⟩ := IH
refine ⟨f.trans (OrderEmbedding.ofStrictMono (· + 1) fun _ => by simp), ?_⟩
simpa using hf
· obtain ⟨f, hf⟩ := IH
refine
⟨OrderEmbedding.ofMapLEIff (fun ix : ℕ => if ix = 0 then 0 else (f ix.pred).succ) ?_, ?_⟩
· rintro ⟨_ | a⟩ ⟨_ | b⟩ <;> simp [Nat.succ_le_succ_iff]
· rintro ⟨_ | i⟩
· simp
· simpa using hf _
· rintro ⟨f, hf⟩
exact sublist_of_orderEmbedding_get?_eq f hf
| 16 | 8,886,110.520508 | 2 | 2 | 4 | 1,962 |
import Mathlib.Data.List.Duplicate
import Mathlib.Data.List.Sort
#align_import data.list.nodup_equiv_fin from "leanprover-community/mathlib"@"008205aa645b3f194c1da47025c5f110c8406eab"
namespace List
variable {α : Type*}
section Sublist
theorem sublist_of_orderEmbedding_get?_eq {l l' : List α} (f : ℕ ↪o ℕ)
(hf : ∀ ix : ℕ, l.get? ix = l'.get? (f ix)) : l <+ l' := by
induction' l with hd tl IH generalizing l' f
· simp
have : some hd = _ := hf 0
rw [eq_comm, List.get?_eq_some] at this
obtain ⟨w, h⟩ := this
let f' : ℕ ↪o ℕ :=
OrderEmbedding.ofMapLEIff (fun i => f (i + 1) - (f 0 + 1)) fun a b => by
dsimp only
rw [Nat.sub_le_sub_iff_right, OrderEmbedding.le_iff_le, Nat.succ_le_succ_iff]
rw [Nat.succ_le_iff, OrderEmbedding.lt_iff_lt]
exact b.succ_pos
have : ∀ ix, tl.get? ix = (l'.drop (f 0 + 1)).get? (f' ix) := by
intro ix
rw [List.get?_drop, OrderEmbedding.coe_ofMapLEIff, Nat.add_sub_cancel', ← hf, List.get?]
rw [Nat.succ_le_iff, OrderEmbedding.lt_iff_lt]
exact ix.succ_pos
rw [← List.take_append_drop (f 0 + 1) l', ← List.singleton_append]
apply List.Sublist.append _ (IH _ this)
rw [List.singleton_sublist, ← h, l'.get_take _ (Nat.lt_succ_self _)]
apply List.get_mem
#align list.sublist_of_order_embedding_nth_eq List.sublist_of_orderEmbedding_get?_eq
theorem sublist_iff_exists_orderEmbedding_get?_eq {l l' : List α} :
l <+ l' ↔ ∃ f : ℕ ↪o ℕ, ∀ ix : ℕ, l.get? ix = l'.get? (f ix) := by
constructor
· intro H
induction' H with xs ys y _H IH xs ys x _H IH
· simp
· obtain ⟨f, hf⟩ := IH
refine ⟨f.trans (OrderEmbedding.ofStrictMono (· + 1) fun _ => by simp), ?_⟩
simpa using hf
· obtain ⟨f, hf⟩ := IH
refine
⟨OrderEmbedding.ofMapLEIff (fun ix : ℕ => if ix = 0 then 0 else (f ix.pred).succ) ?_, ?_⟩
· rintro ⟨_ | a⟩ ⟨_ | b⟩ <;> simp [Nat.succ_le_succ_iff]
· rintro ⟨_ | i⟩
· simp
· simpa using hf _
· rintro ⟨f, hf⟩
exact sublist_of_orderEmbedding_get?_eq f hf
#align list.sublist_iff_exists_order_embedding_nth_eq List.sublist_iff_exists_orderEmbedding_get?_eq
| Mathlib/Data/List/NodupEquivFin.lean | 168 | 205 | theorem sublist_iff_exists_fin_orderEmbedding_get_eq {l l' : List α} :
l <+ l' ↔
∃ f : Fin l.length ↪o Fin l'.length,
∀ ix : Fin l.length, l.get ix = l'.get (f ix) := by |
rw [sublist_iff_exists_orderEmbedding_get?_eq]
constructor
· rintro ⟨f, hf⟩
have h : ∀ {i : ℕ}, i < l.length → f i < l'.length := by
intro i hi
specialize hf i
rw [get?_eq_get hi, eq_comm, get?_eq_some] at hf
obtain ⟨h, -⟩ := hf
exact h
refine ⟨OrderEmbedding.ofMapLEIff (fun ix => ⟨f ix, h ix.is_lt⟩) ?_, ?_⟩
· simp
· intro i
apply Option.some_injective
simpa [get?_eq_get i.2, get?_eq_get (h i.2)] using hf i
· rintro ⟨f, hf⟩
refine
⟨OrderEmbedding.ofStrictMono (fun i => if hi : i < l.length then f ⟨i, hi⟩ else i + l'.length)
?_,
?_⟩
· intro i j h
dsimp only
split_ifs with hi hj hj
· rwa [Fin.val_fin_lt, f.lt_iff_lt]
· have := (f ⟨i, hi⟩).is_lt
omega
· exact absurd (h.trans hj) hi
· simpa using h
· intro i
simp only [OrderEmbedding.coe_ofStrictMono]
split_ifs with hi
· rw [get?_eq_get hi, get?_eq_get, ← hf]
· rw [get?_eq_none.mpr, get?_eq_none.mpr]
· simp
· simpa using hi
| 34 | 583,461,742,527,454.9 | 2 | 2 | 4 | 1,962 |
import Mathlib.Data.List.Duplicate
import Mathlib.Data.List.Sort
#align_import data.list.nodup_equiv_fin from "leanprover-community/mathlib"@"008205aa645b3f194c1da47025c5f110c8406eab"
namespace List
variable {α : Type*}
section Sublist
theorem sublist_of_orderEmbedding_get?_eq {l l' : List α} (f : ℕ ↪o ℕ)
(hf : ∀ ix : ℕ, l.get? ix = l'.get? (f ix)) : l <+ l' := by
induction' l with hd tl IH generalizing l' f
· simp
have : some hd = _ := hf 0
rw [eq_comm, List.get?_eq_some] at this
obtain ⟨w, h⟩ := this
let f' : ℕ ↪o ℕ :=
OrderEmbedding.ofMapLEIff (fun i => f (i + 1) - (f 0 + 1)) fun a b => by
dsimp only
rw [Nat.sub_le_sub_iff_right, OrderEmbedding.le_iff_le, Nat.succ_le_succ_iff]
rw [Nat.succ_le_iff, OrderEmbedding.lt_iff_lt]
exact b.succ_pos
have : ∀ ix, tl.get? ix = (l'.drop (f 0 + 1)).get? (f' ix) := by
intro ix
rw [List.get?_drop, OrderEmbedding.coe_ofMapLEIff, Nat.add_sub_cancel', ← hf, List.get?]
rw [Nat.succ_le_iff, OrderEmbedding.lt_iff_lt]
exact ix.succ_pos
rw [← List.take_append_drop (f 0 + 1) l', ← List.singleton_append]
apply List.Sublist.append _ (IH _ this)
rw [List.singleton_sublist, ← h, l'.get_take _ (Nat.lt_succ_self _)]
apply List.get_mem
#align list.sublist_of_order_embedding_nth_eq List.sublist_of_orderEmbedding_get?_eq
theorem sublist_iff_exists_orderEmbedding_get?_eq {l l' : List α} :
l <+ l' ↔ ∃ f : ℕ ↪o ℕ, ∀ ix : ℕ, l.get? ix = l'.get? (f ix) := by
constructor
· intro H
induction' H with xs ys y _H IH xs ys x _H IH
· simp
· obtain ⟨f, hf⟩ := IH
refine ⟨f.trans (OrderEmbedding.ofStrictMono (· + 1) fun _ => by simp), ?_⟩
simpa using hf
· obtain ⟨f, hf⟩ := IH
refine
⟨OrderEmbedding.ofMapLEIff (fun ix : ℕ => if ix = 0 then 0 else (f ix.pred).succ) ?_, ?_⟩
· rintro ⟨_ | a⟩ ⟨_ | b⟩ <;> simp [Nat.succ_le_succ_iff]
· rintro ⟨_ | i⟩
· simp
· simpa using hf _
· rintro ⟨f, hf⟩
exact sublist_of_orderEmbedding_get?_eq f hf
#align list.sublist_iff_exists_order_embedding_nth_eq List.sublist_iff_exists_orderEmbedding_get?_eq
theorem sublist_iff_exists_fin_orderEmbedding_get_eq {l l' : List α} :
l <+ l' ↔
∃ f : Fin l.length ↪o Fin l'.length,
∀ ix : Fin l.length, l.get ix = l'.get (f ix) := by
rw [sublist_iff_exists_orderEmbedding_get?_eq]
constructor
· rintro ⟨f, hf⟩
have h : ∀ {i : ℕ}, i < l.length → f i < l'.length := by
intro i hi
specialize hf i
rw [get?_eq_get hi, eq_comm, get?_eq_some] at hf
obtain ⟨h, -⟩ := hf
exact h
refine ⟨OrderEmbedding.ofMapLEIff (fun ix => ⟨f ix, h ix.is_lt⟩) ?_, ?_⟩
· simp
· intro i
apply Option.some_injective
simpa [get?_eq_get i.2, get?_eq_get (h i.2)] using hf i
· rintro ⟨f, hf⟩
refine
⟨OrderEmbedding.ofStrictMono (fun i => if hi : i < l.length then f ⟨i, hi⟩ else i + l'.length)
?_,
?_⟩
· intro i j h
dsimp only
split_ifs with hi hj hj
· rwa [Fin.val_fin_lt, f.lt_iff_lt]
· have := (f ⟨i, hi⟩).is_lt
omega
· exact absurd (h.trans hj) hi
· simpa using h
· intro i
simp only [OrderEmbedding.coe_ofStrictMono]
split_ifs with hi
· rw [get?_eq_get hi, get?_eq_get, ← hf]
· rw [get?_eq_none.mpr, get?_eq_none.mpr]
· simp
· simpa using hi
#align list.sublist_iff_exists_fin_order_embedding_nth_le_eq List.sublist_iff_exists_fin_orderEmbedding_get_eq
| Mathlib/Data/List/NodupEquivFin.lean | 211 | 232 | theorem duplicate_iff_exists_distinct_get {l : List α} {x : α} :
l.Duplicate x ↔
∃ (n m : Fin l.length) (_ : n < m),
x = l.get n ∧ x = l.get m := by |
classical
rw [duplicate_iff_two_le_count, le_count_iff_replicate_sublist,
sublist_iff_exists_fin_orderEmbedding_get_eq]
constructor
· rintro ⟨f, hf⟩
refine ⟨f ⟨0, by simp⟩, f ⟨1, by simp⟩, f.lt_iff_lt.2 (Nat.zero_lt_one), ?_⟩
rw [← hf, ← hf]; simp
· rintro ⟨n, m, hnm, h, h'⟩
refine ⟨OrderEmbedding.ofStrictMono (fun i => if (i : ℕ) = 0 then n else m) ?_, ?_⟩
· rintro ⟨⟨_ | i⟩, hi⟩ ⟨⟨_ | j⟩, hj⟩
· simp
· simp [hnm]
· simp
· simp only [Nat.lt_succ_iff, Nat.succ_le_succ_iff, replicate, length, Nat.le_zero] at hi hj
simp [hi, hj]
· rintro ⟨⟨_ | i⟩, hi⟩
· simpa using h
· simpa using h'
| 18 | 65,659,969.137331 | 2 | 2 | 4 | 1,962 |
import Mathlib.Topology.Algebra.Module.Basic
import Mathlib.Analysis.Normed.MulAction
#align_import analysis.normed_space.continuous_linear_map from "leanprover-community/mathlib"@"fe18deda804e30c594e75a6e5fe0f7d14695289f"
open Metric ContinuousLinearMap
open Set Real
open NNReal
variable {𝕜 𝕜₂ E F G : Type*}
section SeminormedAddCommGroup
variable [Ring 𝕜] [Ring 𝕜₂]
variable [SeminormedAddCommGroup E] [SeminormedAddCommGroup F] [SeminormedAddCommGroup G]
variable [Module 𝕜 E] [Module 𝕜₂ F] [Module 𝕜 G]
variable {σ : 𝕜 →+* 𝕜₂} (f : E →ₛₗ[σ] F)
def LinearMap.mkContinuous (C : ℝ) (h : ∀ x, ‖f x‖ ≤ C * ‖x‖) : E →SL[σ] F :=
⟨f, AddMonoidHomClass.continuous_of_bound f C h⟩
#align linear_map.mk_continuous LinearMap.mkContinuous
def LinearMap.mkContinuousOfExistsBound (h : ∃ C, ∀ x, ‖f x‖ ≤ C * ‖x‖) : E →SL[σ] F :=
⟨f,
let ⟨C, hC⟩ := h
AddMonoidHomClass.continuous_of_bound f C hC⟩
#align linear_map.mk_continuous_of_exists_bound LinearMap.mkContinuousOfExistsBound
theorem continuous_of_linear_of_boundₛₗ {f : E → F} (h_add : ∀ x y, f (x + y) = f x + f y)
(h_smul : ∀ (c : 𝕜) (x), f (c • x) = σ c • f x) {C : ℝ} (h_bound : ∀ x, ‖f x‖ ≤ C * ‖x‖) :
Continuous f :=
let φ : E →ₛₗ[σ] F :=
{ toFun := f
map_add' := h_add
map_smul' := h_smul }
AddMonoidHomClass.continuous_of_bound φ C h_bound
#align continuous_of_linear_of_boundₛₗ continuous_of_linear_of_boundₛₗ
theorem continuous_of_linear_of_bound {f : E → G} (h_add : ∀ x y, f (x + y) = f x + f y)
(h_smul : ∀ (c : 𝕜) (x), f (c • x) = c • f x) {C : ℝ} (h_bound : ∀ x, ‖f x‖ ≤ C * ‖x‖) :
Continuous f :=
let φ : E →ₗ[𝕜] G :=
{ toFun := f
map_add' := h_add
map_smul' := h_smul }
AddMonoidHomClass.continuous_of_bound φ C h_bound
#align continuous_of_linear_of_bound continuous_of_linear_of_bound
@[simp, norm_cast]
theorem LinearMap.mkContinuous_coe (C : ℝ) (h : ∀ x, ‖f x‖ ≤ C * ‖x‖) :
(f.mkContinuous C h : E →ₛₗ[σ] F) = f :=
rfl
#align linear_map.mk_continuous_coe LinearMap.mkContinuous_coe
@[simp]
theorem LinearMap.mkContinuous_apply (C : ℝ) (h : ∀ x, ‖f x‖ ≤ C * ‖x‖) (x : E) :
f.mkContinuous C h x = f x :=
rfl
#align linear_map.mk_continuous_apply LinearMap.mkContinuous_apply
@[simp, norm_cast]
theorem LinearMap.mkContinuousOfExistsBound_coe (h : ∃ C, ∀ x, ‖f x‖ ≤ C * ‖x‖) :
(f.mkContinuousOfExistsBound h : E →ₛₗ[σ] F) = f :=
rfl
#align linear_map.mk_continuous_of_exists_bound_coe LinearMap.mkContinuousOfExistsBound_coe
@[simp]
theorem LinearMap.mkContinuousOfExistsBound_apply (h : ∃ C, ∀ x, ‖f x‖ ≤ C * ‖x‖) (x : E) :
f.mkContinuousOfExistsBound h x = f x :=
rfl
#align linear_map.mk_continuous_of_exists_bound_apply LinearMap.mkContinuousOfExistsBound_apply
section Seminormed
variable [Ring 𝕜] [Ring 𝕜₂]
variable [SeminormedAddCommGroup E] [SeminormedAddCommGroup F]
variable [Module 𝕜 E] [Module 𝕜₂ F]
variable {σ : 𝕜 →+* 𝕜₂} (f : E →ₛₗ[σ] F)
def ContinuousLinearMap.ofHomothety (f : E →ₛₗ[σ] F) (a : ℝ) (hf : ∀ x, ‖f x‖ = a * ‖x‖) :
E →SL[σ] F :=
f.mkContinuous a fun x => le_of_eq (hf x)
#align continuous_linear_map.of_homothety ContinuousLinearMap.ofHomothety
variable {σ₂₁ : 𝕜₂ →+* 𝕜} [RingHomInvPair σ σ₂₁] [RingHomInvPair σ₂₁ σ]
| Mathlib/Analysis/NormedSpace/ContinuousLinearMap.lean | 198 | 205 | theorem ContinuousLinearEquiv.homothety_inverse (a : ℝ) (ha : 0 < a) (f : E ≃ₛₗ[σ] F) :
(∀ x : E, ‖f x‖ = a * ‖x‖) → ∀ y : F, ‖f.symm y‖ = a⁻¹ * ‖y‖ := by |
intro hf y
calc
‖f.symm y‖ = a⁻¹ * (a * ‖f.symm y‖) := by
rw [← mul_assoc, inv_mul_cancel (ne_of_lt ha).symm, one_mul]
_ = a⁻¹ * ‖f (f.symm y)‖ := by rw [hf]
_ = a⁻¹ * ‖y‖ := by simp
| 6 | 403.428793 | 2 | 2 | 1 | 1,963 |
import Mathlib.Algebra.Group.Subgroup.Basic
import Mathlib.Algebra.Module.Defs
#align_import group_theory.subgroup.saturated from "leanprover-community/mathlib"@"f7fc89d5d5ff1db2d1242c7bb0e9062ce47ef47c"
namespace Subgroup
variable {G : Type*} [Group G]
@[to_additive
"An additive subgroup `H` of `G` is *saturated* if for all `n : ℕ` and `g : G` with `n•g ∈ H`
we have `n = 0` or `g ∈ H`."]
def Saturated (H : Subgroup G) : Prop :=
∀ ⦃n g⦄, g ^ n ∈ H → n = 0 ∨ g ∈ H
#align subgroup.saturated Subgroup.Saturated
#align add_subgroup.saturated AddSubgroup.Saturated
@[to_additive]
theorem saturated_iff_npow {H : Subgroup G} :
Saturated H ↔ ∀ (n : ℕ) (g : G), g ^ n ∈ H → n = 0 ∨ g ∈ H :=
Iff.rfl
#align subgroup.saturated_iff_npow Subgroup.saturated_iff_npow
#align add_subgroup.saturated_iff_nsmul AddSubgroup.saturated_iff_nsmul
@[to_additive]
| Mathlib/GroupTheory/Subgroup/Saturated.lean | 42 | 56 | theorem saturated_iff_zpow {H : Subgroup G} :
Saturated H ↔ ∀ (n : ℤ) (g : G), g ^ n ∈ H → n = 0 ∨ g ∈ H := by |
constructor
· intros hH n g hgn
induction' n with n n
· simp only [Int.natCast_eq_zero, Int.ofNat_eq_coe, zpow_natCast] at hgn ⊢
exact hH hgn
· suffices g ^ (n + 1) ∈ H by
refine (hH this).imp ?_ id
simp only [IsEmpty.forall_iff, Nat.succ_ne_zero]
simpa only [inv_mem_iff, zpow_negSucc] using hgn
· intro h n g hgn
specialize h n g
simp only [Int.natCast_eq_zero, zpow_natCast] at h
apply h hgn
| 13 | 442,413.392009 | 2 | 2 | 1 | 1,964 |
import Mathlib.CategoryTheory.Sites.Sheaf
#align_import category_theory.sites.canonical from "leanprover-community/mathlib"@"9e7c80f638149bfb3504ba8ff48dfdbfc949fb1a"
universe v u
namespace CategoryTheory
open scoped Classical
open CategoryTheory Category Limits Sieve
variable {C : Type u} [Category.{v} C]
namespace Sheaf
variable {P : Cᵒᵖ ⥤ Type v}
variable {X Y : C} {S : Sieve X} {R : Presieve X}
variable (J J₂ : GrothendieckTopology C)
| Mathlib/CategoryTheory/Sites/Canonical.lean | 61 | 113 | theorem isSheafFor_bind (P : Cᵒᵖ ⥤ Type v) (U : Sieve X) (B : ∀ ⦃Y⦄ ⦃f : Y ⟶ X⦄, U f → Sieve Y)
(hU : Presieve.IsSheafFor P (U : Presieve X))
(hB : ∀ ⦃Y⦄ ⦃f : Y ⟶ X⦄ (hf : U f), Presieve.IsSheafFor P (B hf : Presieve Y))
(hB' : ∀ ⦃Y⦄ ⦃f : Y ⟶ X⦄ (h : U f) ⦃Z⦄ (g : Z ⟶ Y),
Presieve.IsSeparatedFor P (((B h).pullback g) : Presieve Z)) :
Presieve.IsSheafFor P (Sieve.bind (U : Presieve X) B : Presieve X) := by |
intro s hs
let y : ∀ ⦃Y⦄ ⦃f : Y ⟶ X⦄ (hf : U f), Presieve.FamilyOfElements P (B hf : Presieve Y) :=
fun Y f hf Z g hg => s _ (Presieve.bind_comp _ _ hg)
have hy : ∀ ⦃Y⦄ ⦃f : Y ⟶ X⦄ (hf : U f), (y hf).Compatible := by
intro Y f H Y₁ Y₂ Z g₁ g₂ f₁ f₂ hf₁ hf₂ comm
apply hs
apply reassoc_of% comm
let t : Presieve.FamilyOfElements P (U : Presieve X) :=
fun Y f hf => (hB hf).amalgamate (y hf) (hy hf)
have ht : ∀ ⦃Y⦄ ⦃f : Y ⟶ X⦄ (hf : U f), (y hf).IsAmalgamation (t f hf) := fun Y f hf =>
(hB hf).isAmalgamation _
have hT : t.Compatible := by
rw [Presieve.compatible_iff_sieveCompatible]
intro Z W f h hf
apply (hB (U.downward_closed hf h)).isSeparatedFor.ext
intro Y l hl
apply (hB' hf (l ≫ h)).ext
intro M m hm
have : bind U B (m ≫ l ≫ h ≫ f) := by
-- Porting note: had to make explicit the parameter `((m ≫ l ≫ h) ≫ f)` and
-- using `by exact`
have : bind U B ((m ≫ l ≫ h) ≫ f) := by exact Presieve.bind_comp f hf hm
simpa using this
trans s (m ≫ l ≫ h ≫ f) this
· have := ht (U.downward_closed hf h) _ ((B _).downward_closed hl m)
rw [op_comp, FunctorToTypes.map_comp_apply] at this
rw [this]
change s _ _ = s _ _
-- Porting note: the proof was `by simp`
congr 1
simp only [assoc]
· have h : s _ _ = _ := (ht hf _ hm).symm
-- Porting note: this was done by `simp only [assoc] at`
conv_lhs at h => congr; rw [assoc, assoc]
rw [h]
simp only [op_comp, assoc, FunctorToTypes.map_comp_apply]
refine ⟨hU.amalgamate t hT, ?_, ?_⟩
· rintro Z _ ⟨Y, f, g, hg, hf, rfl⟩
rw [op_comp, FunctorToTypes.map_comp_apply, Presieve.IsSheafFor.valid_glue _ _ _ hg]
apply ht hg _ hf
· intro y hy
apply hU.isSeparatedFor.ext
intro Y f hf
apply (hB hf).isSeparatedFor.ext
intro Z g hg
rw [← FunctorToTypes.map_comp_apply, ← op_comp, hy _ (Presieve.bind_comp _ _ hg),
hU.valid_glue _ _ hf, ht hf _ hg]
| 47 | 258,131,288,619,006,750,000 | 2 | 2 | 2 | 1,965 |
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