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import Mathlib.SetTheory.Cardinal.Finite
#align_import data.set.ncard from "leanprover-community/mathlib"@"74c2af38a828107941029b03839882c5c6f87a04"
namespace Set
variable {α β : Type*} {s t : Set α}
noncomputable def encard (s : Set α) : ℕ∞ := PartENat.withTopEquiv (PartENat.card s)
@[simp] theorem encard_univ_coe (s : Set α) : encard (univ : Set s) = encard s := by
rw [encard, encard, PartENat.card_congr (Equiv.Set.univ ↑s)]
theorem encard_univ (α : Type*) :
encard (univ : Set α) = PartENat.withTopEquiv (PartENat.card α) := by
rw [encard, PartENat.card_congr (Equiv.Set.univ α)]
theorem Finite.encard_eq_coe_toFinset_card (h : s.Finite) : s.encard = h.toFinset.card := by
have := h.fintype
rw [encard, PartENat.card_eq_coe_fintype_card,
PartENat.withTopEquiv_natCast, toFinite_toFinset, toFinset_card]
| Mathlib/Data/Set/Card.lean | 78 | 80 | theorem encard_eq_coe_toFinset_card (s : Set α) [Fintype s] : encard s = s.toFinset.card := by |
have h := toFinite s
rw [h.encard_eq_coe_toFinset_card, toFinite_toFinset]
|
import Mathlib.Dynamics.PeriodicPts
import Mathlib.GroupTheory.Exponent
import Mathlib.GroupTheory.GroupAction.Basic
namespace MulAction
universe u v
variable {α : Type v}
variable {G : Type u} [Group G] [MulAction G α]
variable {M : Type u} [Monoid M] [MulAction M α]
@[to_additive "If the action is periodic, then a lower bound for its period can be computed."]
theorem le_period {m : M} {a : α} {n : ℕ} (period_pos : 0 < period m a)
(moved : ∀ k, 0 < k → k < n → m ^ k • a ≠ a) : n ≤ period m a :=
le_of_not_gt fun period_lt_n =>
moved _ period_pos period_lt_n <| pow_period_smul m a
@[to_additive "If for some `n`, `(n • m) +ᵥ a = a`, then `period m a ≤ n`."]
theorem period_le_of_fixed {m : M} {a : α} {n : ℕ} (n_pos : 0 < n) (fixed : m ^ n • a = a) :
period m a ≤ n :=
(isPeriodicPt_smul_iff.mpr fixed).minimalPeriod_le n_pos
@[to_additive "If for some `n`, `(n • m) +ᵥ a = a`, then `0 < period m a`."]
theorem period_pos_of_fixed {m : M} {a : α} {n : ℕ} (n_pos : 0 < n) (fixed : m ^ n • a = a) :
0 < period m a :=
(isPeriodicPt_smul_iff.mpr fixed).minimalPeriod_pos n_pos
@[to_additive]
theorem period_eq_one_iff {m : M} {a : α} : period m a = 1 ↔ m • a = a :=
⟨fun eq_one => pow_one m ▸ eq_one ▸ pow_period_smul m a,
fun fixed => le_antisymm
(period_le_of_fixed one_pos (by simpa))
(period_pos_of_fixed one_pos (by simpa))⟩
@[to_additive "For any non-zero `n` less than the period of `m` on `a`, `a` is moved by `n • m`."]
theorem pow_smul_ne_of_lt_period {m : M} {a : α} {n : ℕ} (n_pos : 0 < n)
(n_lt_period : n < period m a) : m ^ n • a ≠ a := fun a_fixed =>
not_le_of_gt n_lt_period <| period_le_of_fixed n_pos a_fixed
section MonoidExponent
@[to_additive]
theorem period_dvd_orderOf (m : M) (a : α) : period m a ∣ orderOf m := by
rw [← pow_smul_eq_iff_period_dvd, pow_orderOf_eq_one, one_smul]
@[to_additive]
theorem period_pos_of_orderOf_pos {m : M} (order_pos : 0 < orderOf m) (a : α) :
0 < period m a :=
Nat.pos_of_dvd_of_pos (period_dvd_orderOf m a) order_pos
@[to_additive]
theorem period_le_orderOf {m : M} (order_pos : 0 < orderOf m) (a : α) :
period m a ≤ orderOf m :=
Nat.le_of_dvd order_pos (period_dvd_orderOf m a)
@[to_additive]
theorem period_dvd_exponent (m : M) (a : α) : period m a ∣ Monoid.exponent M := by
rw [← pow_smul_eq_iff_period_dvd, Monoid.pow_exponent_eq_one, one_smul]
@[to_additive]
theorem period_pos_of_exponent_pos (exp_pos : 0 < Monoid.exponent M) (m : M) (a : α) :
0 < period m a :=
Nat.pos_of_dvd_of_pos (period_dvd_exponent m a) exp_pos
@[to_additive]
theorem period_le_exponent (exp_pos : 0 < Monoid.exponent M) (m : M) (a : α) :
period m a ≤ Monoid.exponent M :=
Nat.le_of_dvd exp_pos (period_dvd_exponent m a)
variable (α)
@[to_additive]
| Mathlib/GroupTheory/GroupAction/Period.lean | 117 | 120 | theorem period_bounded_of_exponent_pos (exp_pos : 0 < Monoid.exponent M) (m : M) :
BddAbove (Set.range (fun a : α => period m a)) := by |
use Monoid.exponent M
simpa [upperBounds] using period_le_exponent exp_pos _
|
import Mathlib.Algebra.Star.Basic
import Mathlib.Data.Set.Finite
import Mathlib.Data.Set.Pointwise.Basic
#align_import algebra.star.pointwise from "leanprover-community/mathlib"@"30413fc89f202a090a54d78e540963ed3de0056e"
namespace Set
open Pointwise
local postfix:max "⋆" => star
variable {α : Type*} {s t : Set α} {a : α}
protected def star [Star α] : Star (Set α) := ⟨preimage Star.star⟩
#align set.has_star Set.star
scoped[Pointwise] attribute [instance] Set.star
@[simp]
theorem star_empty [Star α] : (∅ : Set α)⋆ = ∅ := rfl
#align set.star_empty Set.star_empty
@[simp]
theorem star_univ [Star α] : (univ : Set α)⋆ = univ := rfl
#align set.star_univ Set.star_univ
@[simp]
theorem nonempty_star [InvolutiveStar α] {s : Set α} : s⋆.Nonempty ↔ s.Nonempty :=
star_involutive.surjective.nonempty_preimage
#align set.nonempty_star Set.nonempty_star
theorem Nonempty.star [InvolutiveStar α] {s : Set α} (h : s.Nonempty) : s⋆.Nonempty :=
nonempty_star.2 h
#align set.nonempty.star Set.Nonempty.star
@[simp]
theorem mem_star [Star α] : a ∈ s⋆ ↔ a⋆ ∈ s := Iff.rfl
#align set.mem_star Set.mem_star
theorem star_mem_star [InvolutiveStar α] : a⋆ ∈ s⋆ ↔ a ∈ s := by simp only [mem_star, star_star]
#align set.star_mem_star Set.star_mem_star
@[simp]
theorem star_preimage [Star α] : Star.star ⁻¹' s = s⋆ := rfl
#align set.star_preimage Set.star_preimage
@[simp]
theorem image_star [InvolutiveStar α] : Star.star '' s = s⋆ := by
simp only [← star_preimage]
rw [image_eq_preimage_of_inverse] <;> intro <;> simp only [star_star]
#align set.image_star Set.image_star
@[simp]
theorem inter_star [Star α] : (s ∩ t)⋆ = s⋆ ∩ t⋆ := preimage_inter
#align set.inter_star Set.inter_star
@[simp]
theorem union_star [Star α] : (s ∪ t)⋆ = s⋆ ∪ t⋆ := preimage_union
#align set.union_star Set.union_star
@[simp]
theorem iInter_star {ι : Sort*} [Star α] (s : ι → Set α) : (⋂ i, s i)⋆ = ⋂ i, (s i)⋆ :=
preimage_iInter
#align set.Inter_star Set.iInter_star
@[simp]
theorem iUnion_star {ι : Sort*} [Star α] (s : ι → Set α) : (⋃ i, s i)⋆ = ⋃ i, (s i)⋆ :=
preimage_iUnion
#align set.Union_star Set.iUnion_star
@[simp]
theorem compl_star [Star α] : sᶜ⋆ = s⋆ᶜ := preimage_compl
#align set.compl_star Set.compl_star
@[simp]
instance [InvolutiveStar α] : InvolutiveStar (Set α) where
star := Star.star
star_involutive s := by simp only [← star_preimage, preimage_preimage, star_star, preimage_id']
@[simp]
theorem star_subset_star [InvolutiveStar α] {s t : Set α} : s⋆ ⊆ t⋆ ↔ s ⊆ t :=
Equiv.star.surjective.preimage_subset_preimage_iff
#align set.star_subset_star Set.star_subset_star
theorem star_subset [InvolutiveStar α] {s t : Set α} : s⋆ ⊆ t ↔ s ⊆ t⋆ := by
rw [← star_subset_star, star_star]
#align set.star_subset Set.star_subset
theorem Finite.star [InvolutiveStar α] {s : Set α} (hs : s.Finite) : s⋆.Finite :=
hs.preimage star_injective.injOn
#align set.finite.star Set.Finite.star
| Mathlib/Algebra/Star/Pointwise.lean | 115 | 117 | theorem star_singleton {β : Type*} [InvolutiveStar β] (x : β) : ({x} : Set β)⋆ = {x⋆} := by |
ext1 y
rw [mem_star, mem_singleton_iff, mem_singleton_iff, star_eq_iff_star_eq, eq_comm]
|
import Mathlib.MeasureTheory.Constructions.Prod.Basic
import Mathlib.MeasureTheory.Measure.MeasureSpace
namespace MeasureTheory
namespace Measure
variable {M : Type*} [Monoid M] [MeasurableSpace M]
@[to_additive conv "Additive convolution of measures."]
noncomputable def mconv (μ : Measure M) (ν : Measure M) :
Measure M := Measure.map (fun x : M × M ↦ x.1 * x.2) (μ.prod ν)
scoped[MeasureTheory] infix:80 " ∗ " => MeasureTheory.Measure.mconv
scoped[MeasureTheory] infix:80 " ∗ " => MeasureTheory.Measure.conv
@[to_additive (attr := simp)]
theorem dirac_one_mconv [MeasurableMul₂ M] (μ : Measure M) [SFinite μ] :
(Measure.dirac 1) ∗ μ = μ := by
unfold mconv
rw [MeasureTheory.Measure.dirac_prod, map_map]
· simp only [Function.comp_def, one_mul, map_id']
all_goals { measurability }
@[to_additive (attr := simp)]
theorem mconv_dirac_one [MeasurableMul₂ M]
(μ : Measure M) [SFinite μ] : μ ∗ (Measure.dirac 1) = μ := by
unfold mconv
rw [MeasureTheory.Measure.prod_dirac, map_map]
· simp only [Function.comp_def, mul_one, map_id']
all_goals { measurability }
@[to_additive (attr := simp) conv_zero]
theorem mconv_zero (μ : Measure M) : (0 : Measure M) ∗ μ = (0 : Measure M) := by
unfold mconv
simp
@[to_additive (attr := simp) zero_conv]
| Mathlib/MeasureTheory/Group/Convolution.lean | 65 | 67 | theorem zero_mconv (μ : Measure M) : μ ∗ (0 : Measure M) = (0 : Measure M) := by |
unfold mconv
simp
|
import Mathlib.Algebra.Order.Ring.WithTop
import Mathlib.Algebra.Order.Sub.WithTop
import Mathlib.Data.Real.NNReal
import Mathlib.Order.Interval.Set.WithBotTop
#align_import data.real.ennreal from "leanprover-community/mathlib"@"c14c8fcde993801fca8946b0d80131a1a81d1520"
open Function Set NNReal
variable {α : Type*}
def ENNReal := WithTop ℝ≥0
deriving Zero, AddCommMonoidWithOne, SemilatticeSup, DistribLattice, Nontrivial
#align ennreal ENNReal
@[inherit_doc]
scoped[ENNReal] notation "ℝ≥0∞" => ENNReal
scoped[ENNReal] notation "∞" => (⊤ : ENNReal)
namespace ENNReal
instance : OrderBot ℝ≥0∞ := inferInstanceAs (OrderBot (WithTop ℝ≥0))
instance : BoundedOrder ℝ≥0∞ := inferInstanceAs (BoundedOrder (WithTop ℝ≥0))
instance : CharZero ℝ≥0∞ := inferInstanceAs (CharZero (WithTop ℝ≥0))
noncomputable instance : CanonicallyOrderedCommSemiring ℝ≥0∞ :=
inferInstanceAs (CanonicallyOrderedCommSemiring (WithTop ℝ≥0))
noncomputable instance : CompleteLinearOrder ℝ≥0∞ :=
inferInstanceAs (CompleteLinearOrder (WithTop ℝ≥0))
instance : DenselyOrdered ℝ≥0∞ := inferInstanceAs (DenselyOrdered (WithTop ℝ≥0))
noncomputable instance : CanonicallyLinearOrderedAddCommMonoid ℝ≥0∞ :=
inferInstanceAs (CanonicallyLinearOrderedAddCommMonoid (WithTop ℝ≥0))
noncomputable instance instSub : Sub ℝ≥0∞ := inferInstanceAs (Sub (WithTop ℝ≥0))
noncomputable instance : OrderedSub ℝ≥0∞ := inferInstanceAs (OrderedSub (WithTop ℝ≥0))
noncomputable instance : LinearOrderedAddCommMonoidWithTop ℝ≥0∞ :=
inferInstanceAs (LinearOrderedAddCommMonoidWithTop (WithTop ℝ≥0))
-- Porting note: rfc: redefine using pattern matching?
noncomputable instance : Inv ℝ≥0∞ := ⟨fun a => sInf { b | 1 ≤ a * b }⟩
noncomputable instance : DivInvMonoid ℝ≥0∞ where
variable {a b c d : ℝ≥0∞} {r p q : ℝ≥0}
-- Porting note: are these 2 instances still required in Lean 4?
instance covariantClass_mul_le : CovariantClass ℝ≥0∞ ℝ≥0∞ (· * ·) (· ≤ ·) := inferInstance
#align ennreal.covariant_class_mul_le ENNReal.covariantClass_mul_le
instance covariantClass_add_le : CovariantClass ℝ≥0∞ ℝ≥0∞ (· + ·) (· ≤ ·) := inferInstance
#align ennreal.covariant_class_add_le ENNReal.covariantClass_add_le
-- Porting note (#11215): TODO: add a `WithTop` instance and use it here
noncomputable instance : LinearOrderedCommMonoidWithZero ℝ≥0∞ :=
{ inferInstanceAs (LinearOrderedAddCommMonoidWithTop ℝ≥0∞),
inferInstanceAs (CommSemiring ℝ≥0∞) with
mul_le_mul_left := fun _ _ => mul_le_mul_left'
zero_le_one := zero_le 1 }
noncomputable instance : Unique (AddUnits ℝ≥0∞) where
default := 0
uniq a := AddUnits.ext <| le_zero_iff.1 <| by rw [← a.add_neg]; exact le_self_add
instance : Inhabited ℝ≥0∞ := ⟨0⟩
@[coe, match_pattern] def ofNNReal : ℝ≥0 → ℝ≥0∞ := WithTop.some
instance : Coe ℝ≥0 ℝ≥0∞ := ⟨ofNNReal⟩
@[elab_as_elim, induction_eliminator, cases_eliminator]
def recTopCoe {C : ℝ≥0∞ → Sort*} (top : C ∞) (coe : ∀ x : ℝ≥0, C x) (x : ℝ≥0∞) : C x :=
WithTop.recTopCoe top coe x
instance canLift : CanLift ℝ≥0∞ ℝ≥0 ofNNReal (· ≠ ∞) := WithTop.canLift
#align ennreal.can_lift ENNReal.canLift
@[simp] theorem none_eq_top : (none : ℝ≥0∞) = ∞ := rfl
#align ennreal.none_eq_top ENNReal.none_eq_top
@[simp] theorem some_eq_coe (a : ℝ≥0) : (Option.some a : ℝ≥0∞) = (↑a : ℝ≥0∞) := rfl
#align ennreal.some_eq_coe ENNReal.some_eq_coe
@[simp] theorem some_eq_coe' (a : ℝ≥0) : (WithTop.some a : ℝ≥0∞) = (↑a : ℝ≥0∞) := rfl
lemma coe_injective : Injective ((↑) : ℝ≥0 → ℝ≥0∞) := WithTop.coe_injective
@[simp, norm_cast] lemma coe_inj : (p : ℝ≥0∞) = q ↔ p = q := coe_injective.eq_iff
#align ennreal.coe_eq_coe ENNReal.coe_inj
lemma coe_ne_coe : (p : ℝ≥0∞) ≠ q ↔ p ≠ q := coe_inj.not
theorem range_coe' : range ofNNReal = Iio ∞ := WithTop.range_coe
theorem range_coe : range ofNNReal = {∞}ᶜ := (isCompl_range_some_none ℝ≥0).symm.compl_eq.symm
protected def toNNReal : ℝ≥0∞ → ℝ≥0 := WithTop.untop' 0
#align ennreal.to_nnreal ENNReal.toNNReal
protected def toReal (a : ℝ≥0∞) : Real := a.toNNReal
#align ennreal.to_real ENNReal.toReal
protected noncomputable def ofReal (r : Real) : ℝ≥0∞ := r.toNNReal
#align ennreal.of_real ENNReal.ofReal
@[simp, norm_cast]
theorem toNNReal_coe : (r : ℝ≥0∞).toNNReal = r := rfl
#align ennreal.to_nnreal_coe ENNReal.toNNReal_coe
@[simp]
theorem coe_toNNReal : ∀ {a : ℝ≥0∞}, a ≠ ∞ → ↑a.toNNReal = a
| ofNNReal _, _ => rfl
| ⊤, h => (h rfl).elim
#align ennreal.coe_to_nnreal ENNReal.coe_toNNReal
@[simp]
theorem ofReal_toReal {a : ℝ≥0∞} (h : a ≠ ∞) : ENNReal.ofReal a.toReal = a := by
simp [ENNReal.toReal, ENNReal.ofReal, h]
#align ennreal.of_real_to_real ENNReal.ofReal_toReal
@[simp]
theorem toReal_ofReal {r : ℝ} (h : 0 ≤ r) : (ENNReal.ofReal r).toReal = r :=
max_eq_left h
#align ennreal.to_real_of_real ENNReal.toReal_ofReal
theorem toReal_ofReal' {r : ℝ} : (ENNReal.ofReal r).toReal = max r 0 := rfl
#align ennreal.to_real_of_real' ENNReal.toReal_ofReal'
theorem coe_toNNReal_le_self : ∀ {a : ℝ≥0∞}, ↑a.toNNReal ≤ a
| ofNNReal r => by rw [toNNReal_coe]
| ⊤ => le_top
#align ennreal.coe_to_nnreal_le_self ENNReal.coe_toNNReal_le_self
theorem coe_nnreal_eq (r : ℝ≥0) : (r : ℝ≥0∞) = ENNReal.ofReal r := by
rw [ENNReal.ofReal, Real.toNNReal_coe]
#align ennreal.coe_nnreal_eq ENNReal.coe_nnreal_eq
theorem ofReal_eq_coe_nnreal {x : ℝ} (h : 0 ≤ x) :
ENNReal.ofReal x = ofNNReal ⟨x, h⟩ :=
(coe_nnreal_eq ⟨x, h⟩).symm
#align ennreal.of_real_eq_coe_nnreal ENNReal.ofReal_eq_coe_nnreal
@[simp] theorem ofReal_coe_nnreal : ENNReal.ofReal p = p := (coe_nnreal_eq p).symm
#align ennreal.of_real_coe_nnreal ENNReal.ofReal_coe_nnreal
@[simp, norm_cast] theorem coe_zero : ↑(0 : ℝ≥0) = (0 : ℝ≥0∞) := rfl
#align ennreal.coe_zero ENNReal.coe_zero
@[simp, norm_cast] theorem coe_one : ↑(1 : ℝ≥0) = (1 : ℝ≥0∞) := rfl
#align ennreal.coe_one ENNReal.coe_one
@[simp] theorem toReal_nonneg {a : ℝ≥0∞} : 0 ≤ a.toReal := a.toNNReal.2
#align ennreal.to_real_nonneg ENNReal.toReal_nonneg
@[simp] theorem top_toNNReal : ∞.toNNReal = 0 := rfl
#align ennreal.top_to_nnreal ENNReal.top_toNNReal
@[simp] theorem top_toReal : ∞.toReal = 0 := rfl
#align ennreal.top_to_real ENNReal.top_toReal
@[simp] theorem one_toReal : (1 : ℝ≥0∞).toReal = 1 := rfl
#align ennreal.one_to_real ENNReal.one_toReal
@[simp] theorem one_toNNReal : (1 : ℝ≥0∞).toNNReal = 1 := rfl
#align ennreal.one_to_nnreal ENNReal.one_toNNReal
@[simp] theorem coe_toReal (r : ℝ≥0) : (r : ℝ≥0∞).toReal = r := rfl
#align ennreal.coe_to_real ENNReal.coe_toReal
@[simp] theorem zero_toNNReal : (0 : ℝ≥0∞).toNNReal = 0 := rfl
#align ennreal.zero_to_nnreal ENNReal.zero_toNNReal
@[simp] theorem zero_toReal : (0 : ℝ≥0∞).toReal = 0 := rfl
#align ennreal.zero_to_real ENNReal.zero_toReal
@[simp] theorem ofReal_zero : ENNReal.ofReal (0 : ℝ) = 0 := by simp [ENNReal.ofReal]
#align ennreal.of_real_zero ENNReal.ofReal_zero
@[simp] theorem ofReal_one : ENNReal.ofReal (1 : ℝ) = (1 : ℝ≥0∞) := by simp [ENNReal.ofReal]
#align ennreal.of_real_one ENNReal.ofReal_one
theorem ofReal_toReal_le {a : ℝ≥0∞} : ENNReal.ofReal a.toReal ≤ a :=
if ha : a = ∞ then ha.symm ▸ le_top else le_of_eq (ofReal_toReal ha)
#align ennreal.of_real_to_real_le ENNReal.ofReal_toReal_le
theorem forall_ennreal {p : ℝ≥0∞ → Prop} : (∀ a, p a) ↔ (∀ r : ℝ≥0, p r) ∧ p ∞ :=
Option.forall.trans and_comm
#align ennreal.forall_ennreal ENNReal.forall_ennreal
theorem forall_ne_top {p : ℝ≥0∞ → Prop} : (∀ a, a ≠ ∞ → p a) ↔ ∀ r : ℝ≥0, p r :=
Option.ball_ne_none
#align ennreal.forall_ne_top ENNReal.forall_ne_top
theorem exists_ne_top {p : ℝ≥0∞ → Prop} : (∃ a ≠ ∞, p a) ↔ ∃ r : ℝ≥0, p r :=
Option.exists_ne_none
#align ennreal.exists_ne_top ENNReal.exists_ne_top
theorem toNNReal_eq_zero_iff (x : ℝ≥0∞) : x.toNNReal = 0 ↔ x = 0 ∨ x = ∞ :=
WithTop.untop'_eq_self_iff
#align ennreal.to_nnreal_eq_zero_iff ENNReal.toNNReal_eq_zero_iff
theorem toReal_eq_zero_iff (x : ℝ≥0∞) : x.toReal = 0 ↔ x = 0 ∨ x = ∞ := by
simp [ENNReal.toReal, toNNReal_eq_zero_iff]
#align ennreal.to_real_eq_zero_iff ENNReal.toReal_eq_zero_iff
theorem toNNReal_ne_zero : a.toNNReal ≠ 0 ↔ a ≠ 0 ∧ a ≠ ∞ :=
a.toNNReal_eq_zero_iff.not.trans not_or
#align ennreal.to_nnreal_ne_zero ENNReal.toNNReal_ne_zero
theorem toReal_ne_zero : a.toReal ≠ 0 ↔ a ≠ 0 ∧ a ≠ ∞ :=
a.toReal_eq_zero_iff.not.trans not_or
#align ennreal.to_real_ne_zero ENNReal.toReal_ne_zero
theorem toNNReal_eq_one_iff (x : ℝ≥0∞) : x.toNNReal = 1 ↔ x = 1 :=
WithTop.untop'_eq_iff.trans <| by simp
#align ennreal.to_nnreal_eq_one_iff ENNReal.toNNReal_eq_one_iff
theorem toReal_eq_one_iff (x : ℝ≥0∞) : x.toReal = 1 ↔ x = 1 := by
rw [ENNReal.toReal, NNReal.coe_eq_one, ENNReal.toNNReal_eq_one_iff]
#align ennreal.to_real_eq_one_iff ENNReal.toReal_eq_one_iff
theorem toNNReal_ne_one : a.toNNReal ≠ 1 ↔ a ≠ 1 :=
a.toNNReal_eq_one_iff.not
#align ennreal.to_nnreal_ne_one ENNReal.toNNReal_ne_one
theorem toReal_ne_one : a.toReal ≠ 1 ↔ a ≠ 1 :=
a.toReal_eq_one_iff.not
#align ennreal.to_real_ne_one ENNReal.toReal_ne_one
@[simp] theorem coe_ne_top : (r : ℝ≥0∞) ≠ ∞ := WithTop.coe_ne_top
#align ennreal.coe_ne_top ENNReal.coe_ne_top
@[simp] theorem top_ne_coe : ∞ ≠ (r : ℝ≥0∞) := WithTop.top_ne_coe
#align ennreal.top_ne_coe ENNReal.top_ne_coe
@[simp] theorem coe_lt_top : (r : ℝ≥0∞) < ∞ := WithTop.coe_lt_top r
#align ennreal.coe_lt_top ENNReal.coe_lt_top
@[simp] theorem ofReal_ne_top {r : ℝ} : ENNReal.ofReal r ≠ ∞ := coe_ne_top
#align ennreal.of_real_ne_top ENNReal.ofReal_ne_top
@[simp] theorem ofReal_lt_top {r : ℝ} : ENNReal.ofReal r < ∞ := coe_lt_top
#align ennreal.of_real_lt_top ENNReal.ofReal_lt_top
@[simp] theorem top_ne_ofReal {r : ℝ} : ∞ ≠ ENNReal.ofReal r := top_ne_coe
#align ennreal.top_ne_of_real ENNReal.top_ne_ofReal
@[simp]
theorem ofReal_toReal_eq_iff : ENNReal.ofReal a.toReal = a ↔ a ≠ ⊤ :=
⟨fun h => by
rw [← h]
exact ofReal_ne_top, ofReal_toReal⟩
#align ennreal.of_real_to_real_eq_iff ENNReal.ofReal_toReal_eq_iff
@[simp]
theorem toReal_ofReal_eq_iff {a : ℝ} : (ENNReal.ofReal a).toReal = a ↔ 0 ≤ a :=
⟨fun h => by
rw [← h]
exact toReal_nonneg, toReal_ofReal⟩
#align ennreal.to_real_of_real_eq_iff ENNReal.toReal_ofReal_eq_iff
@[simp] theorem zero_ne_top : 0 ≠ ∞ := coe_ne_top
#align ennreal.zero_ne_top ENNReal.zero_ne_top
@[simp] theorem top_ne_zero : ∞ ≠ 0 := top_ne_coe
#align ennreal.top_ne_zero ENNReal.top_ne_zero
@[simp] theorem one_ne_top : 1 ≠ ∞ := coe_ne_top
#align ennreal.one_ne_top ENNReal.one_ne_top
@[simp] theorem top_ne_one : ∞ ≠ 1 := top_ne_coe
#align ennreal.top_ne_one ENNReal.top_ne_one
@[simp] theorem zero_lt_top : 0 < ∞ := coe_lt_top
@[simp, norm_cast] theorem coe_le_coe : (↑r : ℝ≥0∞) ≤ ↑q ↔ r ≤ q := WithTop.coe_le_coe
#align ennreal.coe_le_coe ENNReal.coe_le_coe
@[simp, norm_cast] theorem coe_lt_coe : (↑r : ℝ≥0∞) < ↑q ↔ r < q := WithTop.coe_lt_coe
#align ennreal.coe_lt_coe ENNReal.coe_lt_coe
-- Needed until `@[gcongr]` accepts iff statements
alias ⟨_, coe_le_coe_of_le⟩ := coe_le_coe
attribute [gcongr] ENNReal.coe_le_coe_of_le
-- Needed until `@[gcongr]` accepts iff statements
alias ⟨_, coe_lt_coe_of_lt⟩ := coe_lt_coe
attribute [gcongr] ENNReal.coe_lt_coe_of_lt
theorem coe_mono : Monotone ofNNReal := fun _ _ => coe_le_coe.2
#align ennreal.coe_mono ENNReal.coe_mono
theorem coe_strictMono : StrictMono ofNNReal := fun _ _ => coe_lt_coe.2
@[simp, norm_cast] theorem coe_eq_zero : (↑r : ℝ≥0∞) = 0 ↔ r = 0 := coe_inj
#align ennreal.coe_eq_zero ENNReal.coe_eq_zero
@[simp, norm_cast] theorem zero_eq_coe : 0 = (↑r : ℝ≥0∞) ↔ 0 = r := coe_inj
#align ennreal.zero_eq_coe ENNReal.zero_eq_coe
@[simp, norm_cast] theorem coe_eq_one : (↑r : ℝ≥0∞) = 1 ↔ r = 1 := coe_inj
#align ennreal.coe_eq_one ENNReal.coe_eq_one
@[simp, norm_cast] theorem one_eq_coe : 1 = (↑r : ℝ≥0∞) ↔ 1 = r := coe_inj
#align ennreal.one_eq_coe ENNReal.one_eq_coe
@[simp, norm_cast] theorem coe_pos : 0 < (r : ℝ≥0∞) ↔ 0 < r := coe_lt_coe
#align ennreal.coe_pos ENNReal.coe_pos
theorem coe_ne_zero : (r : ℝ≥0∞) ≠ 0 ↔ r ≠ 0 := coe_eq_zero.not
#align ennreal.coe_ne_zero ENNReal.coe_ne_zero
lemma coe_ne_one : (r : ℝ≥0∞) ≠ 1 ↔ r ≠ 1 := coe_eq_one.not
@[simp, norm_cast] lemma coe_add (x y : ℝ≥0) : (↑(x + y) : ℝ≥0∞) = x + y := rfl
#align ennreal.coe_add ENNReal.coe_add
@[simp, norm_cast] lemma coe_mul (x y : ℝ≥0) : (↑(x * y) : ℝ≥0∞) = x * y := rfl
#align ennreal.coe_mul ENNReal.coe_mul
@[norm_cast] lemma coe_nsmul (n : ℕ) (x : ℝ≥0) : (↑(n • x) : ℝ≥0∞) = n • x := rfl
@[simp, norm_cast] lemma coe_pow (x : ℝ≥0) (n : ℕ) : (↑(x ^ n) : ℝ≥0∞) = x ^ n := rfl
#noalign ennreal.coe_bit0
#noalign ennreal.coe_bit1
-- See note [no_index around OfNat.ofNat]
@[simp, norm_cast] -- Porting note (#10756): new theorem
theorem coe_ofNat (n : ℕ) [n.AtLeastTwo] :
((no_index (OfNat.ofNat n) : ℝ≥0) : ℝ≥0∞) = OfNat.ofNat n := rfl
-- Porting note (#11215): TODO: add lemmas about `OfNat.ofNat` and `<`/`≤`
theorem coe_two : ((2 : ℝ≥0) : ℝ≥0∞) = 2 := rfl
#align ennreal.coe_two ENNReal.coe_two
theorem toNNReal_eq_toNNReal_iff (x y : ℝ≥0∞) :
x.toNNReal = y.toNNReal ↔ x = y ∨ x = 0 ∧ y = ⊤ ∨ x = ⊤ ∧ y = 0 :=
WithTop.untop'_eq_untop'_iff
#align ennreal.to_nnreal_eq_to_nnreal_iff ENNReal.toNNReal_eq_toNNReal_iff
theorem toReal_eq_toReal_iff (x y : ℝ≥0∞) :
x.toReal = y.toReal ↔ x = y ∨ x = 0 ∧ y = ⊤ ∨ x = ⊤ ∧ y = 0 := by
simp only [ENNReal.toReal, NNReal.coe_inj, toNNReal_eq_toNNReal_iff]
#align ennreal.to_real_eq_to_real_iff ENNReal.toReal_eq_toReal_iff
theorem toNNReal_eq_toNNReal_iff' {x y : ℝ≥0∞} (hx : x ≠ ⊤) (hy : y ≠ ⊤) :
x.toNNReal = y.toNNReal ↔ x = y := by
simp only [ENNReal.toNNReal_eq_toNNReal_iff x y, hx, hy, and_false, false_and, or_false]
#align ennreal.to_nnreal_eq_to_nnreal_iff' ENNReal.toNNReal_eq_toNNReal_iff'
theorem toReal_eq_toReal_iff' {x y : ℝ≥0∞} (hx : x ≠ ⊤) (hy : y ≠ ⊤) :
x.toReal = y.toReal ↔ x = y := by
simp only [ENNReal.toReal, NNReal.coe_inj, toNNReal_eq_toNNReal_iff' hx hy]
#align ennreal.to_real_eq_to_real_iff' ENNReal.toReal_eq_toReal_iff'
theorem one_lt_two : (1 : ℝ≥0∞) < 2 := Nat.one_lt_ofNat
#align ennreal.one_lt_two ENNReal.one_lt_two
@[simp] theorem two_ne_top : (2 : ℝ≥0∞) ≠ ∞ := coe_ne_top
#align ennreal.two_ne_top ENNReal.two_ne_top
@[simp] theorem two_lt_top : (2 : ℝ≥0∞) < ∞ := coe_lt_top
instance _root_.fact_one_le_one_ennreal : Fact ((1 : ℝ≥0∞) ≤ 1) :=
⟨le_rfl⟩
#align fact_one_le_one_ennreal fact_one_le_one_ennreal
instance _root_.fact_one_le_two_ennreal : Fact ((1 : ℝ≥0∞) ≤ 2) :=
⟨one_le_two⟩
#align fact_one_le_two_ennreal fact_one_le_two_ennreal
instance _root_.fact_one_le_top_ennreal : Fact ((1 : ℝ≥0∞) ≤ ∞) :=
⟨le_top⟩
#align fact_one_le_top_ennreal fact_one_le_top_ennreal
def neTopEquivNNReal : { a | a ≠ ∞ } ≃ ℝ≥0 where
toFun x := ENNReal.toNNReal x
invFun x := ⟨x, coe_ne_top⟩
left_inv := fun x => Subtype.eq <| coe_toNNReal x.2
right_inv _ := toNNReal_coe
#align ennreal.ne_top_equiv_nnreal ENNReal.neTopEquivNNReal
theorem cinfi_ne_top [InfSet α] (f : ℝ≥0∞ → α) : ⨅ x : { x // x ≠ ∞ }, f x = ⨅ x : ℝ≥0, f x :=
Eq.symm <| neTopEquivNNReal.symm.surjective.iInf_congr _ fun _ => rfl
#align ennreal.cinfi_ne_top ENNReal.cinfi_ne_top
theorem iInf_ne_top [CompleteLattice α] (f : ℝ≥0∞ → α) :
⨅ (x) (_ : x ≠ ∞), f x = ⨅ x : ℝ≥0, f x := by rw [iInf_subtype', cinfi_ne_top]
#align ennreal.infi_ne_top ENNReal.iInf_ne_top
theorem csupr_ne_top [SupSet α] (f : ℝ≥0∞ → α) : ⨆ x : { x // x ≠ ∞ }, f x = ⨆ x : ℝ≥0, f x :=
@cinfi_ne_top αᵒᵈ _ _
#align ennreal.csupr_ne_top ENNReal.csupr_ne_top
theorem iSup_ne_top [CompleteLattice α] (f : ℝ≥0∞ → α) :
⨆ (x) (_ : x ≠ ∞), f x = ⨆ x : ℝ≥0, f x :=
@iInf_ne_top αᵒᵈ _ _
#align ennreal.supr_ne_top ENNReal.iSup_ne_top
theorem iInf_ennreal {α : Type*} [CompleteLattice α] {f : ℝ≥0∞ → α} :
⨅ n, f n = (⨅ n : ℝ≥0, f n) ⊓ f ∞ :=
(iInf_option f).trans (inf_comm _ _)
#align ennreal.infi_ennreal ENNReal.iInf_ennreal
theorem iSup_ennreal {α : Type*} [CompleteLattice α] {f : ℝ≥0∞ → α} :
⨆ n, f n = (⨆ n : ℝ≥0, f n) ⊔ f ∞ :=
@iInf_ennreal αᵒᵈ _ _
#align ennreal.supr_ennreal ENNReal.iSup_ennreal
def ofNNRealHom : ℝ≥0 →+* ℝ≥0∞ where
toFun := some
map_one' := coe_one
map_mul' _ _ := coe_mul _ _
map_zero' := coe_zero
map_add' _ _ := coe_add _ _
#align ennreal.of_nnreal_hom ENNReal.ofNNRealHom
@[simp] theorem coe_ofNNRealHom : ⇑ofNNRealHom = some := rfl
#align ennreal.coe_of_nnreal_hom ENNReal.coe_ofNNRealHom
@[simp, norm_cast]
theorem coe_indicator {α} (s : Set α) (f : α → ℝ≥0) (a : α) :
((s.indicator f a : ℝ≥0) : ℝ≥0∞) = s.indicator (fun x => ↑(f x)) a :=
(ofNNRealHom : ℝ≥0 →+ ℝ≥0∞).map_indicator _ _ _
#align ennreal.coe_indicator ENNReal.coe_indicator
section Order
theorem bot_eq_zero : (⊥ : ℝ≥0∞) = 0 := rfl
#align ennreal.bot_eq_zero ENNReal.bot_eq_zero
-- `coe_lt_top` moved up
theorem not_top_le_coe : ¬∞ ≤ ↑r := WithTop.not_top_le_coe r
#align ennreal.not_top_le_coe ENNReal.not_top_le_coe
@[simp, norm_cast]
theorem one_le_coe_iff : (1 : ℝ≥0∞) ≤ ↑r ↔ 1 ≤ r := coe_le_coe
#align ennreal.one_le_coe_iff ENNReal.one_le_coe_iff
@[simp, norm_cast]
theorem coe_le_one_iff : ↑r ≤ (1 : ℝ≥0∞) ↔ r ≤ 1 := coe_le_coe
#align ennreal.coe_le_one_iff ENNReal.coe_le_one_iff
@[simp, norm_cast]
theorem coe_lt_one_iff : (↑p : ℝ≥0∞) < 1 ↔ p < 1 := coe_lt_coe
#align ennreal.coe_lt_one_iff ENNReal.coe_lt_one_iff
@[simp, norm_cast]
theorem one_lt_coe_iff : 1 < (↑p : ℝ≥0∞) ↔ 1 < p := coe_lt_coe
#align ennreal.one_lt_coe_iff ENNReal.one_lt_coe_iff
@[simp, norm_cast]
theorem coe_natCast (n : ℕ) : ((n : ℝ≥0) : ℝ≥0∞) = n := rfl
#align ennreal.coe_nat ENNReal.coe_natCast
@[simp, norm_cast] lemma ofReal_natCast (n : ℕ) : ENNReal.ofReal n = n := by simp [ENNReal.ofReal]
#align ennreal.of_real_coe_nat ENNReal.ofReal_natCast
-- See note [no_index around OfNat.ofNat]
@[simp] theorem ofReal_ofNat (n : ℕ) [n.AtLeastTwo] :
ENNReal.ofReal (no_index (OfNat.ofNat n)) = OfNat.ofNat n :=
ofReal_natCast n
@[simp] theorem natCast_ne_top (n : ℕ) : (n : ℝ≥0∞) ≠ ∞ := WithTop.natCast_ne_top n
#align ennreal.nat_ne_top ENNReal.natCast_ne_top
@[simp] theorem top_ne_natCast (n : ℕ) : ∞ ≠ n := WithTop.top_ne_natCast n
#align ennreal.top_ne_nat ENNReal.top_ne_natCast
@[simp] theorem one_lt_top : 1 < ∞ := coe_lt_top
#align ennreal.one_lt_top ENNReal.one_lt_top
@[simp, norm_cast]
theorem toNNReal_nat (n : ℕ) : (n : ℝ≥0∞).toNNReal = n := by
rw [← ENNReal.coe_natCast n, ENNReal.toNNReal_coe]
#align ennreal.to_nnreal_nat ENNReal.toNNReal_nat
@[simp, norm_cast]
theorem toReal_nat (n : ℕ) : (n : ℝ≥0∞).toReal = n := by
rw [← ENNReal.ofReal_natCast n, ENNReal.toReal_ofReal (Nat.cast_nonneg _)]
#align ennreal.to_real_nat ENNReal.toReal_nat
-- See note [no_index around OfNat.ofNat]
@[simp] theorem toReal_ofNat (n : ℕ) [n.AtLeastTwo] :
ENNReal.toReal (no_index (OfNat.ofNat n)) = OfNat.ofNat n :=
toReal_nat n
theorem le_coe_iff : a ≤ ↑r ↔ ∃ p : ℝ≥0, a = p ∧ p ≤ r := WithTop.le_coe_iff
#align ennreal.le_coe_iff ENNReal.le_coe_iff
theorem coe_le_iff : ↑r ≤ a ↔ ∀ p : ℝ≥0, a = p → r ≤ p := WithTop.coe_le_iff
#align ennreal.coe_le_iff ENNReal.coe_le_iff
theorem lt_iff_exists_coe : a < b ↔ ∃ p : ℝ≥0, a = p ∧ ↑p < b :=
WithTop.lt_iff_exists_coe
#align ennreal.lt_iff_exists_coe ENNReal.lt_iff_exists_coe
theorem toReal_le_coe_of_le_coe {a : ℝ≥0∞} {b : ℝ≥0} (h : a ≤ b) : a.toReal ≤ b := by
lift a to ℝ≥0 using ne_top_of_le_ne_top coe_ne_top h
simpa using h
#align ennreal.to_real_le_coe_of_le_coe ENNReal.toReal_le_coe_of_le_coe
@[simp, norm_cast]
theorem coe_finset_sup {s : Finset α} {f : α → ℝ≥0} : ↑(s.sup f) = s.sup fun x => (f x : ℝ≥0∞) :=
Finset.comp_sup_eq_sup_comp_of_is_total _ coe_mono rfl
#align ennreal.coe_finset_sup ENNReal.coe_finset_sup
@[simp] theorem max_eq_zero_iff : max a b = 0 ↔ a = 0 ∧ b = 0 := max_eq_bot
#align ennreal.max_eq_zero_iff ENNReal.max_eq_zero_iff
theorem max_zero_left : max 0 a = a :=
max_eq_right (zero_le a)
#align ennreal.max_zero_left ENNReal.max_zero_left
theorem max_zero_right : max a 0 = a :=
max_eq_left (zero_le a)
#align ennreal.max_zero_right ENNReal.max_zero_right
@[simp] theorem sup_eq_max : a ⊔ b = max a b := rfl
#align ennreal.sup_eq_max ENNReal.sup_eq_max
-- Porting note: moved `le_of_forall_pos_le_add` down
theorem lt_iff_exists_rat_btwn :
a < b ↔ ∃ q : ℚ, 0 ≤ q ∧ a < Real.toNNReal q ∧ (Real.toNNReal q : ℝ≥0∞) < b :=
⟨fun h => by
rcases lt_iff_exists_coe.1 h with ⟨p, rfl, _⟩
rcases exists_between h with ⟨c, pc, cb⟩
rcases lt_iff_exists_coe.1 cb with ⟨r, rfl, _⟩
rcases (NNReal.lt_iff_exists_rat_btwn _ _).1 (coe_lt_coe.1 pc) with ⟨q, hq0, pq, qr⟩
exact ⟨q, hq0, coe_lt_coe.2 pq, lt_trans (coe_lt_coe.2 qr) cb⟩,
fun ⟨q, _, qa, qb⟩ => lt_trans qa qb⟩
#align ennreal.lt_iff_exists_rat_btwn ENNReal.lt_iff_exists_rat_btwn
theorem lt_iff_exists_real_btwn :
a < b ↔ ∃ r : ℝ, 0 ≤ r ∧ a < ENNReal.ofReal r ∧ (ENNReal.ofReal r : ℝ≥0∞) < b :=
⟨fun h =>
let ⟨q, q0, aq, qb⟩ := ENNReal.lt_iff_exists_rat_btwn.1 h
⟨q, Rat.cast_nonneg.2 q0, aq, qb⟩,
fun ⟨_, _, qa, qb⟩ => lt_trans qa qb⟩
#align ennreal.lt_iff_exists_real_btwn ENNReal.lt_iff_exists_real_btwn
theorem lt_iff_exists_nnreal_btwn : a < b ↔ ∃ r : ℝ≥0, a < r ∧ (r : ℝ≥0∞) < b :=
WithTop.lt_iff_exists_coe_btwn
#align ennreal.lt_iff_exists_nnreal_btwn ENNReal.lt_iff_exists_nnreal_btwn
theorem lt_iff_exists_add_pos_lt : a < b ↔ ∃ r : ℝ≥0, 0 < r ∧ a + r < b := by
refine ⟨fun hab => ?_, fun ⟨r, _, hr⟩ => lt_of_le_of_lt le_self_add hr⟩
rcases lt_iff_exists_nnreal_btwn.1 hab with ⟨c, ac, cb⟩
lift a to ℝ≥0 using ac.ne_top
rw [coe_lt_coe] at ac
refine ⟨c - a, tsub_pos_iff_lt.2 ac, ?_⟩
rwa [← coe_add, add_tsub_cancel_of_le ac.le]
#align ennreal.lt_iff_exists_add_pos_lt ENNReal.lt_iff_exists_add_pos_lt
theorem le_of_forall_pos_le_add (h : ∀ ε : ℝ≥0, 0 < ε → b < ∞ → a ≤ b + ε) : a ≤ b := by
contrapose! h
rcases lt_iff_exists_add_pos_lt.1 h with ⟨r, hr0, hr⟩
exact ⟨r, hr0, h.trans_le le_top, hr⟩
#align ennreal.le_of_forall_pos_le_add ENNReal.le_of_forall_pos_le_add
theorem natCast_lt_coe {n : ℕ} : n < (r : ℝ≥0∞) ↔ n < r := ENNReal.coe_natCast n ▸ coe_lt_coe
#align ennreal.coe_nat_lt_coe ENNReal.natCast_lt_coe
theorem coe_lt_natCast {n : ℕ} : (r : ℝ≥0∞) < n ↔ r < n := ENNReal.coe_natCast n ▸ coe_lt_coe
#align ennreal.coe_lt_coe_nat ENNReal.coe_lt_natCast
@[deprecated (since := "2024-04-05")] alias coe_nat := coe_natCast
@[deprecated (since := "2024-04-05")] alias ofReal_coe_nat := ofReal_natCast
@[deprecated (since := "2024-04-05")] alias nat_ne_top := natCast_ne_top
@[deprecated (since := "2024-04-05")] alias top_ne_nat := top_ne_natCast
@[deprecated (since := "2024-04-05")] alias coe_nat_lt_coe := natCast_lt_coe
@[deprecated (since := "2024-04-05")] alias coe_lt_coe_nat := coe_lt_natCast
protected theorem exists_nat_gt {r : ℝ≥0∞} (h : r ≠ ∞) : ∃ n : ℕ, r < n := by
lift r to ℝ≥0 using h
rcases exists_nat_gt r with ⟨n, hn⟩
exact ⟨n, coe_lt_natCast.2 hn⟩
#align ennreal.exists_nat_gt ENNReal.exists_nat_gt
@[simp]
theorem iUnion_Iio_coe_nat : ⋃ n : ℕ, Iio (n : ℝ≥0∞) = {∞}ᶜ := by
ext x
rw [mem_iUnion]
exact ⟨fun ⟨n, hn⟩ => ne_top_of_lt hn, ENNReal.exists_nat_gt⟩
#align ennreal.Union_Iio_coe_nat ENNReal.iUnion_Iio_coe_nat
@[simp]
theorem iUnion_Iic_coe_nat : ⋃ n : ℕ, Iic (n : ℝ≥0∞) = {∞}ᶜ :=
Subset.antisymm (iUnion_subset fun n _x hx => ne_top_of_le_ne_top (natCast_ne_top n) hx) <|
iUnion_Iio_coe_nat ▸ iUnion_mono fun _ => Iio_subset_Iic_self
#align ennreal.Union_Iic_coe_nat ENNReal.iUnion_Iic_coe_nat
@[simp]
theorem iUnion_Ioc_coe_nat : ⋃ n : ℕ, Ioc a n = Ioi a \ {∞} := by
simp only [← Ioi_inter_Iic, ← inter_iUnion, iUnion_Iic_coe_nat, diff_eq]
#align ennreal.Union_Ioc_coe_nat ENNReal.iUnion_Ioc_coe_nat
@[simp]
theorem iUnion_Ioo_coe_nat : ⋃ n : ℕ, Ioo a n = Ioi a \ {∞} := by
simp only [← Ioi_inter_Iio, ← inter_iUnion, iUnion_Iio_coe_nat, diff_eq]
#align ennreal.Union_Ioo_coe_nat ENNReal.iUnion_Ioo_coe_nat
@[simp]
theorem iUnion_Icc_coe_nat : ⋃ n : ℕ, Icc a n = Ici a \ {∞} := by
simp only [← Ici_inter_Iic, ← inter_iUnion, iUnion_Iic_coe_nat, diff_eq]
#align ennreal.Union_Icc_coe_nat ENNReal.iUnion_Icc_coe_nat
@[simp]
theorem iUnion_Ico_coe_nat : ⋃ n : ℕ, Ico a n = Ici a \ {∞} := by
simp only [← Ici_inter_Iio, ← inter_iUnion, iUnion_Iio_coe_nat, diff_eq]
#align ennreal.Union_Ico_coe_nat ENNReal.iUnion_Ico_coe_nat
@[simp]
| Mathlib/Data/ENNReal/Basic.lean | 718 | 719 | theorem iInter_Ici_coe_nat : ⋂ n : ℕ, Ici (n : ℝ≥0∞) = {∞} := by |
simp only [← compl_Iio, ← compl_iUnion, iUnion_Iio_coe_nat, compl_compl]
|
import Mathlib.Analysis.SpecialFunctions.Integrals
import Mathlib.Topology.MetricSpace.Contracting
#align_import analysis.ODE.picard_lindelof from "leanprover-community/mathlib"@"f2ce6086713c78a7f880485f7917ea547a215982"
open Filter Function Set Metric TopologicalSpace intervalIntegral MeasureTheory
open MeasureTheory.MeasureSpace (volume)
open scoped Filter Topology NNReal ENNReal Nat Interval
noncomputable section
variable {E : Type*} [NormedAddCommGroup E] [NormedSpace ℝ E]
structure IsPicardLindelof {E : Type*} [NormedAddCommGroup E] (v : ℝ → E → E) (tMin t₀ tMax : ℝ)
(x₀ : E) (L : ℝ≥0) (R C : ℝ) : Prop where
ht₀ : t₀ ∈ Icc tMin tMax
hR : 0 ≤ R
lipschitz : ∀ t ∈ Icc tMin tMax, LipschitzOnWith L (v t) (closedBall x₀ R)
cont : ∀ x ∈ closedBall x₀ R, ContinuousOn (fun t : ℝ => v t x) (Icc tMin tMax)
norm_le : ∀ t ∈ Icc tMin tMax, ∀ x ∈ closedBall x₀ R, ‖v t x‖ ≤ C
C_mul_le_R : (C : ℝ) * max (tMax - t₀) (t₀ - tMin) ≤ R
#align is_picard_lindelof IsPicardLindelof
structure PicardLindelof (E : Type*) [NormedAddCommGroup E] [NormedSpace ℝ E] where
toFun : ℝ → E → E
(tMin tMax : ℝ)
t₀ : Icc tMin tMax
x₀ : E
(C R L : ℝ≥0)
isPicardLindelof : IsPicardLindelof toFun tMin t₀ tMax x₀ L R C
#align picard_lindelof PicardLindelof
namespace PicardLindelof
variable (v : PicardLindelof E)
instance : CoeFun (PicardLindelof E) fun _ => ℝ → E → E :=
⟨toFun⟩
instance : Inhabited (PicardLindelof E) :=
⟨⟨0, 0, 0, ⟨0, le_rfl, le_rfl⟩, 0, 0, 0, 0,
{ ht₀ := by rw [Subtype.coe_mk, Icc_self]; exact mem_singleton _
hR := le_rfl
lipschitz := fun t _ => (LipschitzWith.const 0).lipschitzOnWith _
cont := fun _ _ => by simpa only [Pi.zero_apply] using continuousOn_const
norm_le := fun t _ x _ => norm_zero.le
C_mul_le_R := (zero_mul _).le }⟩⟩
theorem tMin_le_tMax : v.tMin ≤ v.tMax :=
v.t₀.2.1.trans v.t₀.2.2
#align picard_lindelof.t_min_le_t_max PicardLindelof.tMin_le_tMax
protected theorem nonempty_Icc : (Icc v.tMin v.tMax).Nonempty :=
nonempty_Icc.2 v.tMin_le_tMax
#align picard_lindelof.nonempty_Icc PicardLindelof.nonempty_Icc
protected theorem lipschitzOnWith {t} (ht : t ∈ Icc v.tMin v.tMax) :
LipschitzOnWith v.L (v t) (closedBall v.x₀ v.R) :=
v.isPicardLindelof.lipschitz t ht
#align picard_lindelof.lipschitz_on_with PicardLindelof.lipschitzOnWith
protected theorem continuousOn :
ContinuousOn (uncurry v) (Icc v.tMin v.tMax ×ˢ closedBall v.x₀ v.R) :=
have : ContinuousOn (uncurry (flip v)) (closedBall v.x₀ v.R ×ˢ Icc v.tMin v.tMax) :=
continuousOn_prod_of_continuousOn_lipschitzOnWith _ v.L v.isPicardLindelof.cont
v.isPicardLindelof.lipschitz
this.comp continuous_swap.continuousOn (preimage_swap_prod _ _).symm.subset
#align picard_lindelof.continuous_on PicardLindelof.continuousOn
theorem norm_le {t : ℝ} (ht : t ∈ Icc v.tMin v.tMax) {x : E} (hx : x ∈ closedBall v.x₀ v.R) :
‖v t x‖ ≤ v.C :=
v.isPicardLindelof.norm_le _ ht _ hx
#align picard_lindelof.norm_le PicardLindelof.norm_le
def tDist : ℝ :=
max (v.tMax - v.t₀) (v.t₀ - v.tMin)
#align picard_lindelof.t_dist PicardLindelof.tDist
theorem tDist_nonneg : 0 ≤ v.tDist :=
le_max_iff.2 <| Or.inl <| sub_nonneg.2 v.t₀.2.2
#align picard_lindelof.t_dist_nonneg PicardLindelof.tDist_nonneg
theorem dist_t₀_le (t : Icc v.tMin v.tMax) : dist t v.t₀ ≤ v.tDist := by
rw [Subtype.dist_eq, Real.dist_eq]
rcases le_total t v.t₀ with ht | ht
· rw [abs_of_nonpos (sub_nonpos.2 <| Subtype.coe_le_coe.2 ht), neg_sub]
exact (sub_le_sub_left t.2.1 _).trans (le_max_right _ _)
· rw [abs_of_nonneg (sub_nonneg.2 <| Subtype.coe_le_coe.2 ht)]
exact (sub_le_sub_right t.2.2 _).trans (le_max_left _ _)
#align picard_lindelof.dist_t₀_le PicardLindelof.dist_t₀_le
def proj : ℝ → Icc v.tMin v.tMax :=
projIcc v.tMin v.tMax v.tMin_le_tMax
#align picard_lindelof.proj PicardLindelof.proj
theorem proj_coe (t : Icc v.tMin v.tMax) : v.proj t = t :=
projIcc_val _ _
#align picard_lindelof.proj_coe PicardLindelof.proj_coe
theorem proj_of_mem {t : ℝ} (ht : t ∈ Icc v.tMin v.tMax) : ↑(v.proj t) = t := by
simp only [proj, projIcc_of_mem v.tMin_le_tMax ht]
#align picard_lindelof.proj_of_mem PicardLindelof.proj_of_mem
@[continuity]
theorem continuous_proj : Continuous v.proj :=
continuous_projIcc
#align picard_lindelof.continuous_proj PicardLindelof.continuous_proj
structure FunSpace where
toFun : Icc v.tMin v.tMax → E
map_t₀' : toFun v.t₀ = v.x₀
lipschitz' : LipschitzWith v.C toFun
#align picard_lindelof.fun_space PicardLindelof.FunSpace
namespace FunSpace
variable {v} (f : FunSpace v)
instance : CoeFun (FunSpace v) fun _ => Icc v.tMin v.tMax → E :=
⟨toFun⟩
instance : Inhabited v.FunSpace :=
⟨⟨fun _ => v.x₀, rfl, (LipschitzWith.const _).weaken (zero_le _)⟩⟩
protected theorem lipschitz : LipschitzWith v.C f :=
f.lipschitz'
#align picard_lindelof.fun_space.lipschitz PicardLindelof.FunSpace.lipschitz
protected theorem continuous : Continuous f :=
f.lipschitz.continuous
#align picard_lindelof.fun_space.continuous PicardLindelof.FunSpace.continuous
def toContinuousMap : v.FunSpace ↪ C(Icc v.tMin v.tMax, E) :=
⟨fun f => ⟨f, f.continuous⟩, fun f g h => by cases f; cases g; simpa using h⟩
#align picard_lindelof.fun_space.to_continuous_map PicardLindelof.FunSpace.toContinuousMap
instance : MetricSpace v.FunSpace :=
MetricSpace.induced toContinuousMap toContinuousMap.injective inferInstance
theorem uniformInducing_toContinuousMap : UniformInducing (@toContinuousMap _ _ _ v) :=
⟨rfl⟩
#align picard_lindelof.fun_space.uniform_inducing_to_continuous_map PicardLindelof.FunSpace.uniformInducing_toContinuousMap
theorem range_toContinuousMap :
range toContinuousMap =
{f : C(Icc v.tMin v.tMax, E) | f v.t₀ = v.x₀ ∧ LipschitzWith v.C f} := by
ext f; constructor
· rintro ⟨⟨f, hf₀, hf_lip⟩, rfl⟩; exact ⟨hf₀, hf_lip⟩
· rcases f with ⟨f, hf⟩; rintro ⟨hf₀, hf_lip⟩; exact ⟨⟨f, hf₀, hf_lip⟩, rfl⟩
#align picard_lindelof.fun_space.range_to_continuous_map PicardLindelof.FunSpace.range_toContinuousMap
theorem map_t₀ : f v.t₀ = v.x₀ :=
f.map_t₀'
#align picard_lindelof.fun_space.map_t₀ PicardLindelof.FunSpace.map_t₀
protected theorem mem_closedBall (t : Icc v.tMin v.tMax) : f t ∈ closedBall v.x₀ v.R :=
calc
dist (f t) v.x₀ = dist (f t) (f.toFun v.t₀) := by rw [f.map_t₀']
_ ≤ v.C * dist t v.t₀ := f.lipschitz.dist_le_mul _ _
_ ≤ v.C * v.tDist := mul_le_mul_of_nonneg_left (v.dist_t₀_le _) v.C.2
_ ≤ v.R := v.isPicardLindelof.C_mul_le_R
#align picard_lindelof.fun_space.mem_closed_ball PicardLindelof.FunSpace.mem_closedBall
def vComp (t : ℝ) : E :=
v (v.proj t) (f (v.proj t))
#align picard_lindelof.fun_space.v_comp PicardLindelof.FunSpace.vComp
theorem vComp_apply_coe (t : Icc v.tMin v.tMax) : f.vComp t = v t (f t) := by
simp only [vComp, proj_coe]
#align picard_lindelof.fun_space.v_comp_apply_coe PicardLindelof.FunSpace.vComp_apply_coe
theorem continuous_vComp : Continuous f.vComp := by
have := (continuous_subtype_val.prod_mk f.continuous).comp v.continuous_proj
refine ContinuousOn.comp_continuous v.continuousOn this fun x => ?_
exact ⟨(v.proj x).2, f.mem_closedBall _⟩
#align picard_lindelof.fun_space.continuous_v_comp PicardLindelof.FunSpace.continuous_vComp
theorem norm_vComp_le (t : ℝ) : ‖f.vComp t‖ ≤ v.C :=
v.norm_le (v.proj t).2 <| f.mem_closedBall _
#align picard_lindelof.fun_space.norm_v_comp_le PicardLindelof.FunSpace.norm_vComp_le
theorem dist_apply_le_dist (f₁ f₂ : FunSpace v) (t : Icc v.tMin v.tMax) :
dist (f₁ t) (f₂ t) ≤ dist f₁ f₂ :=
@ContinuousMap.dist_apply_le_dist _ _ _ _ _ (toContinuousMap f₁) (toContinuousMap f₂) _
#align picard_lindelof.fun_space.dist_apply_le_dist PicardLindelof.FunSpace.dist_apply_le_dist
theorem dist_le_of_forall {f₁ f₂ : FunSpace v} {d : ℝ} (h : ∀ t, dist (f₁ t) (f₂ t) ≤ d) :
dist f₁ f₂ ≤ d :=
(@ContinuousMap.dist_le_iff_of_nonempty _ _ _ _ _ (toContinuousMap f₁) (toContinuousMap f₂) _
v.nonempty_Icc.to_subtype).2 h
#align picard_lindelof.fun_space.dist_le_of_forall PicardLindelof.FunSpace.dist_le_of_forall
instance [CompleteSpace E] : CompleteSpace v.FunSpace := by
refine (completeSpace_iff_isComplete_range uniformInducing_toContinuousMap).2
(IsClosed.isComplete ?_)
rw [range_toContinuousMap, setOf_and]
refine (isClosed_eq (ContinuousMap.continuous_eval_const _) continuous_const).inter ?_
have : IsClosed {f : Icc v.tMin v.tMax → E | LipschitzWith v.C f} :=
isClosed_setOf_lipschitzWith v.C
exact this.preimage ContinuousMap.continuous_coe
theorem intervalIntegrable_vComp (t₁ t₂ : ℝ) : IntervalIntegrable f.vComp volume t₁ t₂ :=
f.continuous_vComp.intervalIntegrable _ _
#align picard_lindelof.fun_space.interval_integrable_v_comp PicardLindelof.FunSpace.intervalIntegrable_vComp
variable [CompleteSpace E]
def next (f : FunSpace v) : FunSpace v where
toFun t := v.x₀ + ∫ τ : ℝ in v.t₀..t, f.vComp τ
map_t₀' := by simp only [integral_same, add_zero]
lipschitz' := LipschitzWith.of_dist_le_mul fun t₁ t₂ => by
rw [dist_add_left, dist_eq_norm,
integral_interval_sub_left (f.intervalIntegrable_vComp _ _) (f.intervalIntegrable_vComp _ _)]
exact norm_integral_le_of_norm_le_const fun t _ => f.norm_vComp_le _
#align picard_lindelof.fun_space.next PicardLindelof.FunSpace.next
theorem next_apply (t : Icc v.tMin v.tMax) : f.next t = v.x₀ + ∫ τ : ℝ in v.t₀..t, f.vComp τ :=
rfl
#align picard_lindelof.fun_space.next_apply PicardLindelof.FunSpace.next_apply
theorem hasDerivWithinAt_next (t : Icc v.tMin v.tMax) :
HasDerivWithinAt (f.next ∘ v.proj) (v t (f t)) (Icc v.tMin v.tMax) t := by
haveI : Fact ((t : ℝ) ∈ Icc v.tMin v.tMax) := ⟨t.2⟩
simp only [(· ∘ ·), next_apply]
refine HasDerivWithinAt.const_add _ ?_
have : HasDerivWithinAt (∫ τ in v.t₀..·, f.vComp τ) (f.vComp t) (Icc v.tMin v.tMax) t :=
integral_hasDerivWithinAt_right (f.intervalIntegrable_vComp _ _)
(f.continuous_vComp.stronglyMeasurableAtFilter _ _)
f.continuous_vComp.continuousWithinAt
rw [vComp_apply_coe] at this
refine this.congr_of_eventuallyEq_of_mem ?_ t.coe_prop
filter_upwards [self_mem_nhdsWithin] with _ ht'
rw [v.proj_of_mem ht']
#align picard_lindelof.fun_space.has_deriv_within_at_next PicardLindelof.FunSpace.hasDerivWithinAt_next
theorem dist_next_apply_le_of_le {f₁ f₂ : FunSpace v} {n : ℕ} {d : ℝ}
(h : ∀ t, dist (f₁ t) (f₂ t) ≤ (v.L * |t.1 - v.t₀|) ^ n / n ! * d) (t : Icc v.tMin v.tMax) :
dist (next f₁ t) (next f₂ t) ≤ (v.L * |t.1 - v.t₀|) ^ (n + 1) / (n + 1)! * d := by
simp only [dist_eq_norm, next_apply, add_sub_add_left_eq_sub, ←
intervalIntegral.integral_sub (intervalIntegrable_vComp _ _ _)
(intervalIntegrable_vComp _ _ _),
norm_integral_eq_norm_integral_Ioc] at *
calc
‖∫ τ in Ι (v.t₀ : ℝ) t, f₁.vComp τ - f₂.vComp τ‖ ≤
∫ τ in Ι (v.t₀ : ℝ) t, v.L * ((v.L * |τ - v.t₀|) ^ n / n ! * d) := by
refine norm_integral_le_of_norm_le (Continuous.integrableOn_uIoc ?_) ?_
· -- Porting note: was `continuity`
refine .mul continuous_const <| .mul (.div_const ?_ _) continuous_const
refine .pow (.mul continuous_const <| .abs <| ?_) _
exact .sub continuous_id continuous_const
· refine (ae_restrict_mem measurableSet_Ioc).mono fun τ hτ => ?_
refine (v.lipschitzOnWith (v.proj τ).2).norm_sub_le_of_le (f₁.mem_closedBall _)
(f₂.mem_closedBall _) ((h _).trans_eq ?_)
rw [v.proj_of_mem]
exact uIcc_subset_Icc v.t₀.2 t.2 <| Ioc_subset_Icc_self hτ
_ = (v.L * |t.1 - v.t₀|) ^ (n + 1) / (n + 1)! * d := by
simp_rw [mul_pow, div_eq_mul_inv, mul_assoc, MeasureTheory.integral_mul_left,
MeasureTheory.integral_mul_right, integral_pow_abs_sub_uIoc, div_eq_mul_inv,
pow_succ' (v.L : ℝ), Nat.factorial_succ, Nat.cast_mul, Nat.cast_succ, mul_inv, mul_assoc]
#align picard_lindelof.fun_space.dist_next_apply_le_of_le PicardLindelof.FunSpace.dist_next_apply_le_of_le
theorem dist_iterate_next_apply_le (f₁ f₂ : FunSpace v) (n : ℕ) (t : Icc v.tMin v.tMax) :
dist (next^[n] f₁ t) (next^[n] f₂ t) ≤ (v.L * |t.1 - v.t₀|) ^ n / n ! * dist f₁ f₂ := by
induction' n with n ihn generalizing t
· rw [pow_zero, Nat.factorial_zero, Nat.cast_one, div_one, one_mul]
exact dist_apply_le_dist f₁ f₂ t
· rw [iterate_succ_apply', iterate_succ_apply']
exact dist_next_apply_le_of_le ihn _
#align picard_lindelof.fun_space.dist_iterate_next_apply_le PicardLindelof.FunSpace.dist_iterate_next_apply_le
| Mathlib/Analysis/ODE/PicardLindelof.lean | 329 | 333 | theorem dist_iterate_next_le (f₁ f₂ : FunSpace v) (n : ℕ) :
dist (next^[n] f₁) (next^[n] f₂) ≤ (v.L * v.tDist) ^ n / n ! * dist f₁ f₂ := by |
refine dist_le_of_forall fun t => (dist_iterate_next_apply_le _ _ _ _).trans ?_
have : |(t - v.t₀ : ℝ)| ≤ v.tDist := v.dist_t₀_le t
gcongr
|
import Mathlib.Data.Set.Finite
import Mathlib.Order.Partition.Finpartition
#align_import data.setoid.partition from "leanprover-community/mathlib"@"b363547b3113d350d053abdf2884e9850a56b205"
namespace Setoid
variable {α : Type*}
theorem eq_of_mem_eqv_class {c : Set (Set α)} (H : ∀ a, ∃! b ∈ c, a ∈ b) {x b b'}
(hc : b ∈ c) (hb : x ∈ b) (hc' : b' ∈ c) (hb' : x ∈ b') : b = b' :=
(H x).unique ⟨hc, hb⟩ ⟨hc', hb'⟩
#align setoid.eq_of_mem_eqv_class Setoid.eq_of_mem_eqv_class
def mkClasses (c : Set (Set α)) (H : ∀ a, ∃! b ∈ c, a ∈ b) : Setoid α where
r x y := ∀ s ∈ c, x ∈ s → y ∈ s
iseqv.refl := fun _ _ _ hx => hx
iseqv.symm := fun {x _y} h s hs hy => by
obtain ⟨t, ⟨ht, hx⟩, _⟩ := H x
rwa [eq_of_mem_eqv_class H hs hy ht (h t ht hx)]
iseqv.trans := fun {_x y z} h1 h2 s hs hx => h2 s hs (h1 s hs hx)
#align setoid.mk_classes Setoid.mkClasses
def classes (r : Setoid α) : Set (Set α) :=
{ s | ∃ y, s = { x | r.Rel x y } }
#align setoid.classes Setoid.classes
theorem mem_classes (r : Setoid α) (y) : { x | r.Rel x y } ∈ r.classes :=
⟨y, rfl⟩
#align setoid.mem_classes Setoid.mem_classes
| Mathlib/Data/Setoid/Partition.lean | 67 | 71 | theorem classes_ker_subset_fiber_set {β : Type*} (f : α → β) :
(Setoid.ker f).classes ⊆ Set.range fun y => { x | f x = y } := by |
rintro s ⟨x, rfl⟩
rw [Set.mem_range]
exact ⟨f x, rfl⟩
|
import Mathlib.CategoryTheory.EpiMono
import Mathlib.CategoryTheory.Limits.HasLimits
#align_import category_theory.limits.shapes.equalizers from "leanprover-community/mathlib"@"4698e35ca56a0d4fa53aa5639c3364e0a77f4eba"
section
open CategoryTheory Opposite
namespace CategoryTheory.Limits
-- attribute [local tidy] tactic.case_bash -- Porting note: no tidy nor cases_bash
universe v v₂ u u₂
inductive WalkingParallelPair : Type
| zero
| one
deriving DecidableEq, Inhabited
#align category_theory.limits.walking_parallel_pair CategoryTheory.Limits.WalkingParallelPair
open WalkingParallelPair
inductive WalkingParallelPairHom : WalkingParallelPair → WalkingParallelPair → Type
| left : WalkingParallelPairHom zero one
| right : WalkingParallelPairHom zero one
| id (X : WalkingParallelPair) : WalkingParallelPairHom X X
deriving DecidableEq
#align category_theory.limits.walking_parallel_pair_hom CategoryTheory.Limits.WalkingParallelPairHom
attribute [-simp, nolint simpNF] WalkingParallelPairHom.id.sizeOf_spec
instance : Inhabited (WalkingParallelPairHom zero one) where default := WalkingParallelPairHom.left
open WalkingParallelPairHom
def WalkingParallelPairHom.comp :
-- Porting note: changed X Y Z to implicit to match comp fields in precategory
∀ { X Y Z : WalkingParallelPair } (_ : WalkingParallelPairHom X Y)
(_ : WalkingParallelPairHom Y Z), WalkingParallelPairHom X Z
| _, _, _, id _, h => h
| _, _, _, left, id one => left
| _, _, _, right, id one => right
#align category_theory.limits.walking_parallel_pair_hom.comp CategoryTheory.Limits.WalkingParallelPairHom.comp
-- Porting note: adding these since they are simple and aesop couldn't directly prove them
theorem WalkingParallelPairHom.id_comp
{X Y : WalkingParallelPair} (g : WalkingParallelPairHom X Y) : comp (id X) g = g :=
rfl
theorem WalkingParallelPairHom.comp_id
{X Y : WalkingParallelPair} (f : WalkingParallelPairHom X Y) : comp f (id Y) = f := by
cases f <;> rfl
theorem WalkingParallelPairHom.assoc {X Y Z W : WalkingParallelPair}
(f : WalkingParallelPairHom X Y) (g: WalkingParallelPairHom Y Z)
(h : WalkingParallelPairHom Z W) : comp (comp f g) h = comp f (comp g h) := by
cases f <;> cases g <;> cases h <;> rfl
instance walkingParallelPairHomCategory : SmallCategory WalkingParallelPair where
Hom := WalkingParallelPairHom
id := id
comp := comp
comp_id := comp_id
id_comp := id_comp
assoc := assoc
#align category_theory.limits.walking_parallel_pair_hom_category CategoryTheory.Limits.walkingParallelPairHomCategory
@[simp]
theorem walkingParallelPairHom_id (X : WalkingParallelPair) : WalkingParallelPairHom.id X = 𝟙 X :=
rfl
#align category_theory.limits.walking_parallel_pair_hom_id CategoryTheory.Limits.walkingParallelPairHom_id
-- Porting note: simpNF asked me to do this because the LHS of the non-primed version reduced
@[simp]
theorem WalkingParallelPairHom.id.sizeOf_spec' (X : WalkingParallelPair) :
(WalkingParallelPairHom._sizeOf_inst X X).sizeOf (𝟙 X) = 1 + sizeOf X := by cases X <;> rfl
def walkingParallelPairOp : WalkingParallelPair ⥤ WalkingParallelPairᵒᵖ where
obj x := op <| by cases x; exacts [one, zero]
map f := by
cases f <;> apply Quiver.Hom.op
exacts [left, right, WalkingParallelPairHom.id _]
map_comp := by rintro _ _ _ (_|_|_) g <;> cases g <;> rfl
#align category_theory.limits.walking_parallel_pair_op CategoryTheory.Limits.walkingParallelPairOp
@[simp]
theorem walkingParallelPairOp_zero : walkingParallelPairOp.obj zero = op one := rfl
#align category_theory.limits.walking_parallel_pair_op_zero CategoryTheory.Limits.walkingParallelPairOp_zero
@[simp]
theorem walkingParallelPairOp_one : walkingParallelPairOp.obj one = op zero := rfl
#align category_theory.limits.walking_parallel_pair_op_one CategoryTheory.Limits.walkingParallelPairOp_one
@[simp]
theorem walkingParallelPairOp_left :
walkingParallelPairOp.map left = @Quiver.Hom.op _ _ zero one left := rfl
#align category_theory.limits.walking_parallel_pair_op_left CategoryTheory.Limits.walkingParallelPairOp_left
@[simp]
theorem walkingParallelPairOp_right :
walkingParallelPairOp.map right = @Quiver.Hom.op _ _ zero one right := rfl
#align category_theory.limits.walking_parallel_pair_op_right CategoryTheory.Limits.walkingParallelPairOp_right
@[simps functor inverse]
def walkingParallelPairOpEquiv : WalkingParallelPair ≌ WalkingParallelPairᵒᵖ where
functor := walkingParallelPairOp
inverse := walkingParallelPairOp.leftOp
unitIso :=
NatIso.ofComponents (fun j => eqToIso (by cases j <;> rfl))
(by rintro _ _ (_ | _ | _) <;> simp)
counitIso :=
NatIso.ofComponents (fun j => eqToIso (by
induction' j with X
cases X <;> rfl))
(fun {i} {j} f => by
induction' i with i
induction' j with j
let g := f.unop
have : f = g.op := rfl
rw [this]
cases i <;> cases j <;> cases g <;> rfl)
functor_unitIso_comp := fun j => by cases j <;> rfl
#align category_theory.limits.walking_parallel_pair_op_equiv CategoryTheory.Limits.walkingParallelPairOpEquiv
@[simp]
theorem walkingParallelPairOpEquiv_unitIso_zero :
walkingParallelPairOpEquiv.unitIso.app zero = Iso.refl zero := rfl
#align category_theory.limits.walking_parallel_pair_op_equiv_unit_iso_zero CategoryTheory.Limits.walkingParallelPairOpEquiv_unitIso_zero
@[simp]
theorem walkingParallelPairOpEquiv_unitIso_one :
walkingParallelPairOpEquiv.unitIso.app one = Iso.refl one := rfl
#align category_theory.limits.walking_parallel_pair_op_equiv_unit_iso_one CategoryTheory.Limits.walkingParallelPairOpEquiv_unitIso_one
@[simp]
theorem walkingParallelPairOpEquiv_counitIso_zero :
walkingParallelPairOpEquiv.counitIso.app (op zero) = Iso.refl (op zero) := rfl
#align category_theory.limits.walking_parallel_pair_op_equiv_counit_iso_zero CategoryTheory.Limits.walkingParallelPairOpEquiv_counitIso_zero
@[simp]
theorem walkingParallelPairOpEquiv_counitIso_one :
walkingParallelPairOpEquiv.counitIso.app (op one) = Iso.refl (op one) :=
rfl
#align category_theory.limits.walking_parallel_pair_op_equiv_counit_iso_one CategoryTheory.Limits.walkingParallelPairOpEquiv_counitIso_one
variable {C : Type u} [Category.{v} C]
variable {X Y : C}
def parallelPair (f g : X ⟶ Y) : WalkingParallelPair ⥤ C where
obj x :=
match x with
| zero => X
| one => Y
map h :=
match h with
| WalkingParallelPairHom.id _ => 𝟙 _
| left => f
| right => g
-- `sorry` can cope with this, but it's too slow:
map_comp := by
rintro _ _ _ ⟨⟩ g <;> cases g <;> {dsimp; simp}
#align category_theory.limits.parallel_pair CategoryTheory.Limits.parallelPair
@[simp]
theorem parallelPair_obj_zero (f g : X ⟶ Y) : (parallelPair f g).obj zero = X := rfl
#align category_theory.limits.parallel_pair_obj_zero CategoryTheory.Limits.parallelPair_obj_zero
@[simp]
theorem parallelPair_obj_one (f g : X ⟶ Y) : (parallelPair f g).obj one = Y := rfl
#align category_theory.limits.parallel_pair_obj_one CategoryTheory.Limits.parallelPair_obj_one
@[simp]
theorem parallelPair_map_left (f g : X ⟶ Y) : (parallelPair f g).map left = f := rfl
#align category_theory.limits.parallel_pair_map_left CategoryTheory.Limits.parallelPair_map_left
@[simp]
theorem parallelPair_map_right (f g : X ⟶ Y) : (parallelPair f g).map right = g := rfl
#align category_theory.limits.parallel_pair_map_right CategoryTheory.Limits.parallelPair_map_right
@[simp]
theorem parallelPair_functor_obj {F : WalkingParallelPair ⥤ C} (j : WalkingParallelPair) :
(parallelPair (F.map left) (F.map right)).obj j = F.obj j := by cases j <;> rfl
#align category_theory.limits.parallel_pair_functor_obj CategoryTheory.Limits.parallelPair_functor_obj
@[simps!]
def diagramIsoParallelPair (F : WalkingParallelPair ⥤ C) :
F ≅ parallelPair (F.map left) (F.map right) :=
NatIso.ofComponents (fun j => eqToIso <| by cases j <;> rfl) (by rintro _ _ (_|_|_) <;> simp)
#align category_theory.limits.diagram_iso_parallel_pair CategoryTheory.Limits.diagramIsoParallelPair
def parallelPairHom {X' Y' : C} (f g : X ⟶ Y) (f' g' : X' ⟶ Y') (p : X ⟶ X') (q : Y ⟶ Y')
(wf : f ≫ q = p ≫ f') (wg : g ≫ q = p ≫ g') : parallelPair f g ⟶ parallelPair f' g' where
app j :=
match j with
| zero => p
| one => q
naturality := by
rintro _ _ ⟨⟩ <;> {dsimp; simp [wf,wg]}
#align category_theory.limits.parallel_pair_hom CategoryTheory.Limits.parallelPairHom
@[simp]
theorem parallelPairHom_app_zero {X' Y' : C} (f g : X ⟶ Y) (f' g' : X' ⟶ Y') (p : X ⟶ X')
(q : Y ⟶ Y') (wf : f ≫ q = p ≫ f') (wg : g ≫ q = p ≫ g') :
(parallelPairHom f g f' g' p q wf wg).app zero = p :=
rfl
#align category_theory.limits.parallel_pair_hom_app_zero CategoryTheory.Limits.parallelPairHom_app_zero
@[simp]
theorem parallelPairHom_app_one {X' Y' : C} (f g : X ⟶ Y) (f' g' : X' ⟶ Y') (p : X ⟶ X')
(q : Y ⟶ Y') (wf : f ≫ q = p ≫ f') (wg : g ≫ q = p ≫ g') :
(parallelPairHom f g f' g' p q wf wg).app one = q :=
rfl
#align category_theory.limits.parallel_pair_hom_app_one CategoryTheory.Limits.parallelPairHom_app_one
@[simps!]
def parallelPair.ext {F G : WalkingParallelPair ⥤ C} (zero : F.obj zero ≅ G.obj zero)
(one : F.obj one ≅ G.obj one) (left : F.map left ≫ one.hom = zero.hom ≫ G.map left)
(right : F.map right ≫ one.hom = zero.hom ≫ G.map right) : F ≅ G :=
NatIso.ofComponents
(by
rintro ⟨j⟩
exacts [zero, one])
(by rintro _ _ ⟨_⟩ <;> simp [left, right])
#align category_theory.limits.parallel_pair.ext CategoryTheory.Limits.parallelPair.ext
@[simps!]
def parallelPair.eqOfHomEq {f g f' g' : X ⟶ Y} (hf : f = f') (hg : g = g') :
parallelPair f g ≅ parallelPair f' g' :=
parallelPair.ext (Iso.refl _) (Iso.refl _) (by simp [hf]) (by simp [hg])
#align category_theory.limits.parallel_pair.eq_of_hom_eq CategoryTheory.Limits.parallelPair.eqOfHomEq
abbrev Fork (f g : X ⟶ Y) :=
Cone (parallelPair f g)
#align category_theory.limits.fork CategoryTheory.Limits.Fork
abbrev Cofork (f g : X ⟶ Y) :=
Cocone (parallelPair f g)
#align category_theory.limits.cofork CategoryTheory.Limits.Cofork
variable {f g : X ⟶ Y}
def Fork.ι (t : Fork f g) :=
t.π.app zero
#align category_theory.limits.fork.ι CategoryTheory.Limits.Fork.ι
@[simp]
theorem Fork.app_zero_eq_ι (t : Fork f g) : t.π.app zero = t.ι :=
rfl
#align category_theory.limits.fork.app_zero_eq_ι CategoryTheory.Limits.Fork.app_zero_eq_ι
def Cofork.π (t : Cofork f g) :=
t.ι.app one
#align category_theory.limits.cofork.π CategoryTheory.Limits.Cofork.π
@[simp]
theorem Cofork.app_one_eq_π (t : Cofork f g) : t.ι.app one = t.π :=
rfl
#align category_theory.limits.cofork.app_one_eq_π CategoryTheory.Limits.Cofork.app_one_eq_π
@[simp]
theorem Fork.app_one_eq_ι_comp_left (s : Fork f g) : s.π.app one = s.ι ≫ f := by
rw [← s.app_zero_eq_ι, ← s.w left, parallelPair_map_left]
#align category_theory.limits.fork.app_one_eq_ι_comp_left CategoryTheory.Limits.Fork.app_one_eq_ι_comp_left
@[reassoc]
theorem Fork.app_one_eq_ι_comp_right (s : Fork f g) : s.π.app one = s.ι ≫ g := by
rw [← s.app_zero_eq_ι, ← s.w right, parallelPair_map_right]
#align category_theory.limits.fork.app_one_eq_ι_comp_right CategoryTheory.Limits.Fork.app_one_eq_ι_comp_right
@[simp]
theorem Cofork.app_zero_eq_comp_π_left (s : Cofork f g) : s.ι.app zero = f ≫ s.π := by
rw [← s.app_one_eq_π, ← s.w left, parallelPair_map_left]
#align category_theory.limits.cofork.app_zero_eq_comp_π_left CategoryTheory.Limits.Cofork.app_zero_eq_comp_π_left
@[reassoc]
theorem Cofork.app_zero_eq_comp_π_right (s : Cofork f g) : s.ι.app zero = g ≫ s.π := by
rw [← s.app_one_eq_π, ← s.w right, parallelPair_map_right]
#align category_theory.limits.cofork.app_zero_eq_comp_π_right CategoryTheory.Limits.Cofork.app_zero_eq_comp_π_right
@[simps]
def Fork.ofι {P : C} (ι : P ⟶ X) (w : ι ≫ f = ι ≫ g) : Fork f g where
pt := P
π :=
{ app := fun X => by
cases X
· exact ι
· exact ι ≫ f
naturality := fun {X} {Y} f =>
by cases X <;> cases Y <;> cases f <;> dsimp <;> simp; assumption }
#align category_theory.limits.fork.of_ι CategoryTheory.Limits.Fork.ofι
@[simps]
def Cofork.ofπ {P : C} (π : Y ⟶ P) (w : f ≫ π = g ≫ π) : Cofork f g where
pt := P
ι :=
{ app := fun X => WalkingParallelPair.casesOn X (f ≫ π) π
naturality := fun i j f => by cases f <;> dsimp <;> simp [w] }
#align category_theory.limits.cofork.of_π CategoryTheory.Limits.Cofork.ofπ
-- See note [dsimp, simp]
@[simp]
theorem Fork.ι_ofι {P : C} (ι : P ⟶ X) (w : ι ≫ f = ι ≫ g) : (Fork.ofι ι w).ι = ι :=
rfl
#align category_theory.limits.fork.ι_of_ι CategoryTheory.Limits.Fork.ι_ofι
@[simp]
theorem Cofork.π_ofπ {P : C} (π : Y ⟶ P) (w : f ≫ π = g ≫ π) : (Cofork.ofπ π w).π = π :=
rfl
#align category_theory.limits.cofork.π_of_π CategoryTheory.Limits.Cofork.π_ofπ
@[reassoc (attr := simp)]
theorem Fork.condition (t : Fork f g) : t.ι ≫ f = t.ι ≫ g := by
rw [← t.app_one_eq_ι_comp_left, ← t.app_one_eq_ι_comp_right]
#align category_theory.limits.fork.condition CategoryTheory.Limits.Fork.condition
@[reassoc (attr := simp)]
theorem Cofork.condition (t : Cofork f g) : f ≫ t.π = g ≫ t.π := by
rw [← t.app_zero_eq_comp_π_left, ← t.app_zero_eq_comp_π_right]
#align category_theory.limits.cofork.condition CategoryTheory.Limits.Cofork.condition
theorem Fork.equalizer_ext (s : Fork f g) {W : C} {k l : W ⟶ s.pt} (h : k ≫ s.ι = l ≫ s.ι) :
∀ j : WalkingParallelPair, k ≫ s.π.app j = l ≫ s.π.app j
| zero => h
| one => by
have : k ≫ ι s ≫ f = l ≫ ι s ≫ f := by
simp only [← Category.assoc]; exact congrArg (· ≫ f) h
rw [s.app_one_eq_ι_comp_left, this]
#align category_theory.limits.fork.equalizer_ext CategoryTheory.Limits.Fork.equalizer_ext
theorem Cofork.coequalizer_ext (s : Cofork f g) {W : C} {k l : s.pt ⟶ W}
(h : Cofork.π s ≫ k = Cofork.π s ≫ l) : ∀ j : WalkingParallelPair, s.ι.app j ≫ k = s.ι.app j ≫ l
| zero => by simp only [s.app_zero_eq_comp_π_left, Category.assoc, h]
| one => h
#align category_theory.limits.cofork.coequalizer_ext CategoryTheory.Limits.Cofork.coequalizer_ext
theorem Fork.IsLimit.hom_ext {s : Fork f g} (hs : IsLimit s) {W : C} {k l : W ⟶ s.pt}
(h : k ≫ Fork.ι s = l ≫ Fork.ι s) : k = l :=
hs.hom_ext <| Fork.equalizer_ext _ h
#align category_theory.limits.fork.is_limit.hom_ext CategoryTheory.Limits.Fork.IsLimit.hom_ext
theorem Cofork.IsColimit.hom_ext {s : Cofork f g} (hs : IsColimit s) {W : C} {k l : s.pt ⟶ W}
(h : Cofork.π s ≫ k = Cofork.π s ≫ l) : k = l :=
hs.hom_ext <| Cofork.coequalizer_ext _ h
#align category_theory.limits.cofork.is_colimit.hom_ext CategoryTheory.Limits.Cofork.IsColimit.hom_ext
@[reassoc (attr := simp)]
theorem Fork.IsLimit.lift_ι {s t : Fork f g} (hs : IsLimit s) : hs.lift t ≫ s.ι = t.ι :=
hs.fac _ _
#align category_theory.limits.fork.is_limit.lift_ι CategoryTheory.Limits.Fork.IsLimit.lift_ι
@[reassoc (attr := simp)]
theorem Cofork.IsColimit.π_desc {s t : Cofork f g} (hs : IsColimit s) : s.π ≫ hs.desc t = t.π :=
hs.fac _ _
#align category_theory.limits.cofork.is_colimit.π_desc CategoryTheory.Limits.Cofork.IsColimit.π_desc
-- Porting note: `Fork.IsLimit.lift` was added in order to ease the port
def Fork.IsLimit.lift {s : Fork f g} (hs : IsLimit s) {W : C} (k : W ⟶ X) (h : k ≫ f = k ≫ g) :
W ⟶ s.pt :=
hs.lift (Fork.ofι _ h)
@[reassoc (attr := simp)]
lemma Fork.IsLimit.lift_ι' {s : Fork f g} (hs : IsLimit s) {W : C} (k : W ⟶ X) (h : k ≫ f = k ≫ g) :
Fork.IsLimit.lift hs k h ≫ Fork.ι s = k :=
hs.fac _ _
def Fork.IsLimit.lift' {s : Fork f g} (hs : IsLimit s) {W : C} (k : W ⟶ X) (h : k ≫ f = k ≫ g) :
{ l : W ⟶ s.pt // l ≫ Fork.ι s = k } :=
⟨Fork.IsLimit.lift hs k h, by simp⟩
#align category_theory.limits.fork.is_limit.lift' CategoryTheory.Limits.Fork.IsLimit.lift'
-- Porting note: `Cofork.IsColimit.desc` was added in order to ease the port
def Cofork.IsColimit.desc {s : Cofork f g} (hs : IsColimit s) {W : C} (k : Y ⟶ W)
(h : f ≫ k = g ≫ k) : s.pt ⟶ W :=
hs.desc (Cofork.ofπ _ h)
@[reassoc (attr := simp)]
lemma Cofork.IsColimit.π_desc' {s : Cofork f g} (hs : IsColimit s) {W : C} (k : Y ⟶ W)
(h : f ≫ k = g ≫ k) : Cofork.π s ≫ Cofork.IsColimit.desc hs k h = k :=
hs.fac _ _
def Cofork.IsColimit.desc' {s : Cofork f g} (hs : IsColimit s) {W : C} (k : Y ⟶ W)
(h : f ≫ k = g ≫ k) : { l : s.pt ⟶ W // Cofork.π s ≫ l = k } :=
⟨Cofork.IsColimit.desc hs k h, by simp⟩
#align category_theory.limits.cofork.is_colimit.desc' CategoryTheory.Limits.Cofork.IsColimit.desc'
theorem Fork.IsLimit.existsUnique {s : Fork f g} (hs : IsLimit s) {W : C} (k : W ⟶ X)
(h : k ≫ f = k ≫ g) : ∃! l : W ⟶ s.pt, l ≫ Fork.ι s = k :=
⟨hs.lift <| Fork.ofι _ h, hs.fac _ _, fun _ hm =>
Fork.IsLimit.hom_ext hs <| hm.symm ▸ (hs.fac (Fork.ofι _ h) WalkingParallelPair.zero).symm⟩
#align category_theory.limits.fork.is_limit.exists_unique CategoryTheory.Limits.Fork.IsLimit.existsUnique
theorem Cofork.IsColimit.existsUnique {s : Cofork f g} (hs : IsColimit s) {W : C} (k : Y ⟶ W)
(h : f ≫ k = g ≫ k) : ∃! d : s.pt ⟶ W, Cofork.π s ≫ d = k :=
⟨hs.desc <| Cofork.ofπ _ h, hs.fac _ _, fun _ hm =>
Cofork.IsColimit.hom_ext hs <| hm.symm ▸ (hs.fac (Cofork.ofπ _ h) WalkingParallelPair.one).symm⟩
#align category_theory.limits.cofork.is_colimit.exists_unique CategoryTheory.Limits.Cofork.IsColimit.existsUnique
@[simps]
def Fork.IsLimit.mk (t : Fork f g) (lift : ∀ s : Fork f g, s.pt ⟶ t.pt)
(fac : ∀ s : Fork f g, lift s ≫ Fork.ι t = Fork.ι s)
(uniq : ∀ (s : Fork f g) (m : s.pt ⟶ t.pt) (_ : m ≫ t.ι = s.ι), m = lift s) : IsLimit t :=
{ lift
fac := fun s j =>
WalkingParallelPair.casesOn j (fac s) <| by
erw [← s.w left, ← t.w left, ← Category.assoc, fac]; rfl
uniq := fun s m j => by aesop}
#align category_theory.limits.fork.is_limit.mk CategoryTheory.Limits.Fork.IsLimit.mk
def Fork.IsLimit.mk' {X Y : C} {f g : X ⟶ Y} (t : Fork f g)
(create : ∀ s : Fork f g, { l // l ≫ t.ι = s.ι ∧ ∀ {m}, m ≫ t.ι = s.ι → m = l }) : IsLimit t :=
Fork.IsLimit.mk t (fun s => (create s).1) (fun s => (create s).2.1) fun s _ w => (create s).2.2 w
#align category_theory.limits.fork.is_limit.mk' CategoryTheory.Limits.Fork.IsLimit.mk'
def Cofork.IsColimit.mk (t : Cofork f g) (desc : ∀ s : Cofork f g, t.pt ⟶ s.pt)
(fac : ∀ s : Cofork f g, Cofork.π t ≫ desc s = Cofork.π s)
(uniq : ∀ (s : Cofork f g) (m : t.pt ⟶ s.pt) (_ : t.π ≫ m = s.π), m = desc s) : IsColimit t :=
{ desc
fac := fun s j =>
WalkingParallelPair.casesOn j (by erw [← s.w left, ← t.w left, Category.assoc, fac]; rfl)
(fac s)
uniq := by aesop }
#align category_theory.limits.cofork.is_colimit.mk CategoryTheory.Limits.Cofork.IsColimit.mk
def Cofork.IsColimit.mk' {X Y : C} {f g : X ⟶ Y} (t : Cofork f g)
(create : ∀ s : Cofork f g, { l : t.pt ⟶ s.pt // t.π ≫ l = s.π
∧ ∀ {m}, t.π ≫ m = s.π → m = l }) : IsColimit t :=
Cofork.IsColimit.mk t (fun s => (create s).1) (fun s => (create s).2.1) fun s _ w =>
(create s).2.2 w
#align category_theory.limits.cofork.is_colimit.mk' CategoryTheory.Limits.Cofork.IsColimit.mk'
noncomputable def Fork.IsLimit.ofExistsUnique {t : Fork f g}
(hs : ∀ s : Fork f g, ∃! l : s.pt ⟶ t.pt, l ≫ Fork.ι t = Fork.ι s) : IsLimit t := by
choose d hd hd' using hs
exact Fork.IsLimit.mk _ d hd fun s m hm => hd' _ _ hm
#align category_theory.limits.fork.is_limit.of_exists_unique CategoryTheory.Limits.Fork.IsLimit.ofExistsUnique
noncomputable def Cofork.IsColimit.ofExistsUnique {t : Cofork f g}
(hs : ∀ s : Cofork f g, ∃! d : t.pt ⟶ s.pt, Cofork.π t ≫ d = Cofork.π s) : IsColimit t := by
choose d hd hd' using hs
exact Cofork.IsColimit.mk _ d hd fun s m hm => hd' _ _ hm
#align category_theory.limits.cofork.is_colimit.of_exists_unique CategoryTheory.Limits.Cofork.IsColimit.ofExistsUnique
@[simps]
def Fork.IsLimit.homIso {X Y : C} {f g : X ⟶ Y} {t : Fork f g} (ht : IsLimit t) (Z : C) :
(Z ⟶ t.pt) ≃ { h : Z ⟶ X // h ≫ f = h ≫ g } where
toFun k := ⟨k ≫ t.ι, by simp only [Category.assoc, t.condition]⟩
invFun h := (Fork.IsLimit.lift' ht _ h.prop).1
left_inv k := Fork.IsLimit.hom_ext ht (Fork.IsLimit.lift' _ _ _).prop
right_inv h := Subtype.ext (Fork.IsLimit.lift' ht _ _).prop
#align category_theory.limits.fork.is_limit.hom_iso CategoryTheory.Limits.Fork.IsLimit.homIso
theorem Fork.IsLimit.homIso_natural {X Y : C} {f g : X ⟶ Y} {t : Fork f g} (ht : IsLimit t)
{Z Z' : C} (q : Z' ⟶ Z) (k : Z ⟶ t.pt) :
(Fork.IsLimit.homIso ht _ (q ≫ k) : Z' ⟶ X) = q ≫ (Fork.IsLimit.homIso ht _ k : Z ⟶ X) :=
Category.assoc _ _ _
#align category_theory.limits.fork.is_limit.hom_iso_natural CategoryTheory.Limits.Fork.IsLimit.homIso_natural
@[simps]
def Cofork.IsColimit.homIso {X Y : C} {f g : X ⟶ Y} {t : Cofork f g} (ht : IsColimit t) (Z : C) :
(t.pt ⟶ Z) ≃ { h : Y ⟶ Z // f ≫ h = g ≫ h } where
toFun k := ⟨t.π ≫ k, by simp only [← Category.assoc, t.condition]⟩
invFun h := (Cofork.IsColimit.desc' ht _ h.prop).1
left_inv k := Cofork.IsColimit.hom_ext ht (Cofork.IsColimit.desc' _ _ _).prop
right_inv h := Subtype.ext (Cofork.IsColimit.desc' ht _ _).prop
#align category_theory.limits.cofork.is_colimit.hom_iso CategoryTheory.Limits.Cofork.IsColimit.homIso
theorem Cofork.IsColimit.homIso_natural {X Y : C} {f g : X ⟶ Y} {t : Cofork f g} {Z Z' : C}
(q : Z ⟶ Z') (ht : IsColimit t) (k : t.pt ⟶ Z) :
(Cofork.IsColimit.homIso ht _ (k ≫ q) : Y ⟶ Z') =
(Cofork.IsColimit.homIso ht _ k : Y ⟶ Z) ≫ q :=
(Category.assoc _ _ _).symm
#align category_theory.limits.cofork.is_colimit.hom_iso_natural CategoryTheory.Limits.Cofork.IsColimit.homIso_natural
def Cone.ofFork {F : WalkingParallelPair ⥤ C} (t : Fork (F.map left) (F.map right)) : Cone F where
pt := t.pt
π :=
{ app := fun X => t.π.app X ≫ eqToHom (by aesop)
naturality := by rintro _ _ (_|_|_) <;> {dsimp; simp [t.condition]}}
#align category_theory.limits.cone.of_fork CategoryTheory.Limits.Cone.ofFork
def Cocone.ofCofork {F : WalkingParallelPair ⥤ C} (t : Cofork (F.map left) (F.map right)) :
Cocone F where
pt := t.pt
ι :=
{ app := fun X => eqToHom (by aesop) ≫ t.ι.app X
naturality := by rintro _ _ (_|_|_) <;> {dsimp; simp [t.condition]}}
#align category_theory.limits.cocone.of_cofork CategoryTheory.Limits.Cocone.ofCofork
@[simp]
theorem Cone.ofFork_π {F : WalkingParallelPair ⥤ C} (t : Fork (F.map left) (F.map right)) (j) :
(Cone.ofFork t).π.app j = t.π.app j ≫ eqToHom (by aesop) := rfl
#align category_theory.limits.cone.of_fork_π CategoryTheory.Limits.Cone.ofFork_π
@[simp]
theorem Cocone.ofCofork_ι {F : WalkingParallelPair ⥤ C} (t : Cofork (F.map left) (F.map right))
(j) : (Cocone.ofCofork t).ι.app j = eqToHom (by aesop) ≫ t.ι.app j := rfl
#align category_theory.limits.cocone.of_cofork_ι CategoryTheory.Limits.Cocone.ofCofork_ι
def Fork.ofCone {F : WalkingParallelPair ⥤ C} (t : Cone F) : Fork (F.map left) (F.map right) where
pt := t.pt
π := { app := fun X => t.π.app X ≫ eqToHom (by aesop)
naturality := by rintro _ _ (_|_|_) <;> {dsimp; simp}}
#align category_theory.limits.fork.of_cone CategoryTheory.Limits.Fork.ofCone
def Cofork.ofCocone {F : WalkingParallelPair ⥤ C} (t : Cocone F) :
Cofork (F.map left) (F.map right) where
pt := t.pt
ι := { app := fun X => eqToHom (by aesop) ≫ t.ι.app X
naturality := by rintro _ _ (_|_|_) <;> {dsimp; simp}}
#align category_theory.limits.cofork.of_cocone CategoryTheory.Limits.Cofork.ofCocone
@[simp]
theorem Fork.ofCone_π {F : WalkingParallelPair ⥤ C} (t : Cone F) (j) :
(Fork.ofCone t).π.app j = t.π.app j ≫ eqToHom (by aesop) := rfl
#align category_theory.limits.fork.of_cone_π CategoryTheory.Limits.Fork.ofCone_π
@[simp]
theorem Cofork.ofCocone_ι {F : WalkingParallelPair ⥤ C} (t : Cocone F) (j) :
(Cofork.ofCocone t).ι.app j = eqToHom (by aesop) ≫ t.ι.app j := rfl
#align category_theory.limits.cofork.of_cocone_ι CategoryTheory.Limits.Cofork.ofCocone_ι
@[simp]
theorem Fork.ι_postcompose {f' g' : X ⟶ Y} {α : parallelPair f g ⟶ parallelPair f' g'}
{c : Fork f g} : Fork.ι ((Cones.postcompose α).obj c) = c.ι ≫ α.app _ :=
rfl
#align category_theory.limits.fork.ι_postcompose CategoryTheory.Limits.Fork.ι_postcompose
@[simp]
theorem Cofork.π_precompose {f' g' : X ⟶ Y} {α : parallelPair f g ⟶ parallelPair f' g'}
{c : Cofork f' g'} : Cofork.π ((Cocones.precompose α).obj c) = α.app _ ≫ c.π :=
rfl
#align category_theory.limits.cofork.π_precompose CategoryTheory.Limits.Cofork.π_precompose
@[simps]
def Fork.mkHom {s t : Fork f g} (k : s.pt ⟶ t.pt) (w : k ≫ t.ι = s.ι) : s ⟶ t where
hom := k
w := by
rintro ⟨_ | _⟩
· exact w
· simp only [Fork.app_one_eq_ι_comp_left,← Category.assoc]
congr
#align category_theory.limits.fork.mk_hom CategoryTheory.Limits.Fork.mkHom
@[simps]
def Fork.ext {s t : Fork f g} (i : s.pt ≅ t.pt) (w : i.hom ≫ t.ι = s.ι := by aesop_cat) :
s ≅ t where
hom := Fork.mkHom i.hom w
inv := Fork.mkHom i.inv (by rw [← w, Iso.inv_hom_id_assoc])
#align category_theory.limits.fork.ext CategoryTheory.Limits.Fork.ext
def ForkOfι.ext {P : C} {ι ι' : P ⟶ X} (w : ι ≫ f = ι ≫ g) (w' : ι' ≫ f = ι' ≫ g) (h : ι = ι') :
Fork.ofι ι w ≅ Fork.ofι ι' w' :=
Fork.ext (Iso.refl _) (by simp [h])
def Fork.isoForkOfι (c : Fork f g) : c ≅ Fork.ofι c.ι c.condition :=
Fork.ext (by simp only [Fork.ofι_pt, Functor.const_obj_obj]; rfl) (by simp)
#align category_theory.limits.fork.iso_fork_of_ι CategoryTheory.Limits.Fork.isoForkOfι
def Fork.isLimitOfIsos {X' Y' : C} (c : Fork f g) (hc : IsLimit c)
{f' g' : X' ⟶ Y'} (c' : Fork f' g')
(e₀ : X ≅ X') (e₁ : Y ≅ Y') (e : c.pt ≅ c'.pt)
(comm₁ : e₀.hom ≫ f' = f ≫ e₁.hom := by aesop_cat)
(comm₂ : e₀.hom ≫ g' = g ≫ e₁.hom := by aesop_cat)
(comm₃ : e.hom ≫ c'.ι = c.ι ≫ e₀.hom := by aesop_cat) : IsLimit c' :=
let i : parallelPair f g ≅ parallelPair f' g' := parallelPair.ext e₀ e₁ comm₁.symm comm₂.symm
(IsLimit.equivOfNatIsoOfIso i c c' (Fork.ext e comm₃)) hc
@[simps]
def Cofork.mkHom {s t : Cofork f g} (k : s.pt ⟶ t.pt) (w : s.π ≫ k = t.π) : s ⟶ t where
hom := k
w := by
rintro ⟨_ | _⟩
· simp [Cofork.app_zero_eq_comp_π_left, w]
· exact w
#align category_theory.limits.cofork.mk_hom CategoryTheory.Limits.Cofork.mkHom
@[reassoc (attr := simp)]
theorem Fork.hom_comp_ι {s t : Fork f g} (f : s ⟶ t) : f.hom ≫ t.ι = s.ι := by
cases s; cases t; cases f; aesop
#align category_theory.limits.fork.hom_comp_ι CategoryTheory.Limits.Fork.hom_comp_ι
@[reassoc (attr := simp)]
theorem Fork.π_comp_hom {s t : Cofork f g} (f : s ⟶ t) : s.π ≫ f.hom = t.π := by
cases s; cases t; cases f; aesop
#align category_theory.limits.fork.π_comp_hom CategoryTheory.Limits.Fork.π_comp_hom
@[simps]
def Cofork.ext {s t : Cofork f g} (i : s.pt ≅ t.pt) (w : s.π ≫ i.hom = t.π := by aesop_cat) :
s ≅ t where
hom := Cofork.mkHom i.hom w
inv := Cofork.mkHom i.inv (by rw [Iso.comp_inv_eq, w])
#align category_theory.limits.cofork.ext CategoryTheory.Limits.Cofork.ext
def Cofork.isoCoforkOfπ (c : Cofork f g) : c ≅ Cofork.ofπ c.π c.condition :=
Cofork.ext (by simp only [Cofork.ofπ_pt, Functor.const_obj_obj]; rfl) (by dsimp; simp)
#align category_theory.limits.cofork.iso_cofork_of_π CategoryTheory.Limits.Cofork.isoCoforkOfπ
variable (f g)
section
abbrev HasEqualizer :=
HasLimit (parallelPair f g)
#align category_theory.limits.has_equalizer CategoryTheory.Limits.HasEqualizer
variable [HasEqualizer f g]
noncomputable abbrev equalizer : C :=
limit (parallelPair f g)
#align category_theory.limits.equalizer CategoryTheory.Limits.equalizer
noncomputable abbrev equalizer.ι : equalizer f g ⟶ X :=
limit.π (parallelPair f g) zero
#align category_theory.limits.equalizer.ι CategoryTheory.Limits.equalizer.ι
noncomputable abbrev equalizer.fork : Fork f g :=
limit.cone (parallelPair f g)
#align category_theory.limits.equalizer.fork CategoryTheory.Limits.equalizer.fork
@[simp]
theorem equalizer.fork_ι : (equalizer.fork f g).ι = equalizer.ι f g :=
rfl
#align category_theory.limits.equalizer.fork_ι CategoryTheory.Limits.equalizer.fork_ι
@[simp]
theorem equalizer.fork_π_app_zero : (equalizer.fork f g).π.app zero = equalizer.ι f g :=
rfl
#align category_theory.limits.equalizer.fork_π_app_zero CategoryTheory.Limits.equalizer.fork_π_app_zero
@[reassoc]
theorem equalizer.condition : equalizer.ι f g ≫ f = equalizer.ι f g ≫ g :=
Fork.condition <| limit.cone <| parallelPair f g
#align category_theory.limits.equalizer.condition CategoryTheory.Limits.equalizer.condition
noncomputable def equalizerIsEqualizer : IsLimit (Fork.ofι (equalizer.ι f g)
(equalizer.condition f g)) :=
IsLimit.ofIsoLimit (limit.isLimit _) (Fork.ext (Iso.refl _) (by aesop))
#align category_theory.limits.equalizer_is_equalizer CategoryTheory.Limits.equalizerIsEqualizer
variable {f g}
noncomputable abbrev equalizer.lift {W : C} (k : W ⟶ X) (h : k ≫ f = k ≫ g) : W ⟶ equalizer f g :=
limit.lift (parallelPair f g) (Fork.ofι k h)
#align category_theory.limits.equalizer.lift CategoryTheory.Limits.equalizer.lift
-- Porting note (#10618): removed simp since simp can prove this and the reassoc version
@[reassoc]
theorem equalizer.lift_ι {W : C} (k : W ⟶ X) (h : k ≫ f = k ≫ g) :
equalizer.lift k h ≫ equalizer.ι f g = k :=
limit.lift_π _ _
#align category_theory.limits.equalizer.lift_ι CategoryTheory.Limits.equalizer.lift_ι
noncomputable def equalizer.lift' {W : C} (k : W ⟶ X) (h : k ≫ f = k ≫ g) :
{ l : W ⟶ equalizer f g // l ≫ equalizer.ι f g = k } :=
⟨equalizer.lift k h, equalizer.lift_ι _ _⟩
#align category_theory.limits.equalizer.lift' CategoryTheory.Limits.equalizer.lift'
@[ext]
theorem equalizer.hom_ext {W : C} {k l : W ⟶ equalizer f g}
(h : k ≫ equalizer.ι f g = l ≫ equalizer.ι f g) : k = l :=
Fork.IsLimit.hom_ext (limit.isLimit _) h
#align category_theory.limits.equalizer.hom_ext CategoryTheory.Limits.equalizer.hom_ext
theorem equalizer.existsUnique {W : C} (k : W ⟶ X) (h : k ≫ f = k ≫ g) :
∃! l : W ⟶ equalizer f g, l ≫ equalizer.ι f g = k :=
Fork.IsLimit.existsUnique (limit.isLimit _) _ h
#align category_theory.limits.equalizer.exists_unique CategoryTheory.Limits.equalizer.existsUnique
instance equalizer.ι_mono : Mono (equalizer.ι f g) where
right_cancellation _ _ w := equalizer.hom_ext w
#align category_theory.limits.equalizer.ι_mono CategoryTheory.Limits.equalizer.ι_mono
end
section
variable {f g}
theorem mono_of_isLimit_fork {c : Fork f g} (i : IsLimit c) : Mono (Fork.ι c) :=
{ right_cancellation := fun _ _ w => Fork.IsLimit.hom_ext i w }
#align category_theory.limits.mono_of_is_limit_fork CategoryTheory.Limits.mono_of_isLimit_fork
end
section
variable {f g}
def idFork (h : f = g) : Fork f g :=
Fork.ofι (𝟙 X) <| h ▸ rfl
#align category_theory.limits.id_fork CategoryTheory.Limits.idFork
def isLimitIdFork (h : f = g) : IsLimit (idFork h) :=
Fork.IsLimit.mk _ (fun s => Fork.ι s) (fun s => Category.comp_id _) fun s m h => by
convert h
exact (Category.comp_id _).symm
#align category_theory.limits.is_limit_id_fork CategoryTheory.Limits.isLimitIdFork
theorem isIso_limit_cone_parallelPair_of_eq (h₀ : f = g) {c : Fork f g} (h : IsLimit c) :
IsIso c.ι :=
Iso.isIso_hom <| IsLimit.conePointUniqueUpToIso h <| isLimitIdFork h₀
#align category_theory.limits.is_iso_limit_cone_parallel_pair_of_eq CategoryTheory.Limits.isIso_limit_cone_parallelPair_of_eq
theorem equalizer.ι_of_eq [HasEqualizer f g] (h : f = g) : IsIso (equalizer.ι f g) :=
isIso_limit_cone_parallelPair_of_eq h <| limit.isLimit _
#align category_theory.limits.equalizer.ι_of_eq CategoryTheory.Limits.equalizer.ι_of_eq
theorem isIso_limit_cone_parallelPair_of_self {c : Fork f f} (h : IsLimit c) : IsIso c.ι :=
isIso_limit_cone_parallelPair_of_eq rfl h
#align category_theory.limits.is_iso_limit_cone_parallel_pair_of_self CategoryTheory.Limits.isIso_limit_cone_parallelPair_of_self
theorem isIso_limit_cone_parallelPair_of_epi {c : Fork f g} (h : IsLimit c) [Epi c.ι] : IsIso c.ι :=
isIso_limit_cone_parallelPair_of_eq ((cancel_epi _).1 (Fork.condition c)) h
#align category_theory.limits.is_iso_limit_cone_parallel_pair_of_epi CategoryTheory.Limits.isIso_limit_cone_parallelPair_of_epi
theorem eq_of_epi_fork_ι (t : Fork f g) [Epi (Fork.ι t)] : f = g :=
(cancel_epi (Fork.ι t)).1 <| Fork.condition t
#align category_theory.limits.eq_of_epi_fork_ι CategoryTheory.Limits.eq_of_epi_fork_ι
theorem eq_of_epi_equalizer [HasEqualizer f g] [Epi (equalizer.ι f g)] : f = g :=
(cancel_epi (equalizer.ι f g)).1 <| equalizer.condition _ _
#align category_theory.limits.eq_of_epi_equalizer CategoryTheory.Limits.eq_of_epi_equalizer
end
instance hasEqualizer_of_self : HasEqualizer f f :=
HasLimit.mk
{ cone := idFork rfl
isLimit := isLimitIdFork rfl }
#align category_theory.limits.has_equalizer_of_self CategoryTheory.Limits.hasEqualizer_of_self
instance equalizer.ι_of_self : IsIso (equalizer.ι f f) :=
equalizer.ι_of_eq rfl
#align category_theory.limits.equalizer.ι_of_self CategoryTheory.Limits.equalizer.ι_of_self
noncomputable def equalizer.isoSourceOfSelf : equalizer f f ≅ X :=
asIso (equalizer.ι f f)
#align category_theory.limits.equalizer.iso_source_of_self CategoryTheory.Limits.equalizer.isoSourceOfSelf
@[simp]
theorem equalizer.isoSourceOfSelf_hom : (equalizer.isoSourceOfSelf f).hom = equalizer.ι f f :=
rfl
#align category_theory.limits.equalizer.iso_source_of_self_hom CategoryTheory.Limits.equalizer.isoSourceOfSelf_hom
@[simp]
theorem equalizer.isoSourceOfSelf_inv :
(equalizer.isoSourceOfSelf f).inv = equalizer.lift (𝟙 X) (by simp) := by
ext
simp [equalizer.isoSourceOfSelf]
#align category_theory.limits.equalizer.iso_source_of_self_inv CategoryTheory.Limits.equalizer.isoSourceOfSelf_inv
section
abbrev HasCoequalizer :=
HasColimit (parallelPair f g)
#align category_theory.limits.has_coequalizer CategoryTheory.Limits.HasCoequalizer
variable [HasCoequalizer f g]
noncomputable abbrev coequalizer : C :=
colimit (parallelPair f g)
#align category_theory.limits.coequalizer CategoryTheory.Limits.coequalizer
noncomputable abbrev coequalizer.π : Y ⟶ coequalizer f g :=
colimit.ι (parallelPair f g) one
#align category_theory.limits.coequalizer.π CategoryTheory.Limits.coequalizer.π
noncomputable abbrev coequalizer.cofork : Cofork f g :=
colimit.cocone (parallelPair f g)
#align category_theory.limits.coequalizer.cofork CategoryTheory.Limits.coequalizer.cofork
@[simp]
theorem coequalizer.cofork_π : (coequalizer.cofork f g).π = coequalizer.π f g :=
rfl
#align category_theory.limits.coequalizer.cofork_π CategoryTheory.Limits.coequalizer.cofork_π
-- Porting note (#10618): simp can prove this, simp removed
theorem coequalizer.cofork_ι_app_one : (coequalizer.cofork f g).ι.app one = coequalizer.π f g :=
rfl
#align category_theory.limits.coequalizer.cofork_ι_app_one CategoryTheory.Limits.coequalizer.cofork_ι_app_one
@[reassoc]
theorem coequalizer.condition : f ≫ coequalizer.π f g = g ≫ coequalizer.π f g :=
Cofork.condition <| colimit.cocone <| parallelPair f g
#align category_theory.limits.coequalizer.condition CategoryTheory.Limits.coequalizer.condition
noncomputable def coequalizerIsCoequalizer :
IsColimit (Cofork.ofπ (coequalizer.π f g) (coequalizer.condition f g)) :=
IsColimit.ofIsoColimit (colimit.isColimit _) (Cofork.ext (Iso.refl _) (by aesop))
#align category_theory.limits.coequalizer_is_coequalizer CategoryTheory.Limits.coequalizerIsCoequalizer
variable {f g}
noncomputable abbrev coequalizer.desc {W : C} (k : Y ⟶ W) (h : f ≫ k = g ≫ k) :
coequalizer f g ⟶ W :=
colimit.desc (parallelPair f g) (Cofork.ofπ k h)
#align category_theory.limits.coequalizer.desc CategoryTheory.Limits.coequalizer.desc
-- Porting note (#10618): removing simp since simp can prove this and reassoc version
@[reassoc]
theorem coequalizer.π_desc {W : C} (k : Y ⟶ W) (h : f ≫ k = g ≫ k) :
coequalizer.π f g ≫ coequalizer.desc k h = k :=
colimit.ι_desc _ _
#align category_theory.limits.coequalizer.π_desc CategoryTheory.Limits.coequalizer.π_desc
theorem coequalizer.π_colimMap_desc {X' Y' Z : C} (f' g' : X' ⟶ Y') [HasCoequalizer f' g']
(p : X ⟶ X') (q : Y ⟶ Y') (wf : f ≫ q = p ≫ f') (wg : g ≫ q = p ≫ g') (h : Y' ⟶ Z)
(wh : f' ≫ h = g' ≫ h) :
coequalizer.π f g ≫ colimMap (parallelPairHom f g f' g' p q wf wg) ≫ coequalizer.desc h wh =
q ≫ h := by
rw [ι_colimMap_assoc, parallelPairHom_app_one, coequalizer.π_desc]
#align category_theory.limits.coequalizer.π_colim_map_desc CategoryTheory.Limits.coequalizer.π_colimMap_desc
noncomputable def coequalizer.desc' {W : C} (k : Y ⟶ W) (h : f ≫ k = g ≫ k) :
{ l : coequalizer f g ⟶ W // coequalizer.π f g ≫ l = k } :=
⟨coequalizer.desc k h, coequalizer.π_desc _ _⟩
#align category_theory.limits.coequalizer.desc' CategoryTheory.Limits.coequalizer.desc'
@[ext]
theorem coequalizer.hom_ext {W : C} {k l : coequalizer f g ⟶ W}
(h : coequalizer.π f g ≫ k = coequalizer.π f g ≫ l) : k = l :=
Cofork.IsColimit.hom_ext (colimit.isColimit _) h
#align category_theory.limits.coequalizer.hom_ext CategoryTheory.Limits.coequalizer.hom_ext
theorem coequalizer.existsUnique {W : C} (k : Y ⟶ W) (h : f ≫ k = g ≫ k) :
∃! d : coequalizer f g ⟶ W, coequalizer.π f g ≫ d = k :=
Cofork.IsColimit.existsUnique (colimit.isColimit _) _ h
#align category_theory.limits.coequalizer.exists_unique CategoryTheory.Limits.coequalizer.existsUnique
instance coequalizer.π_epi : Epi (coequalizer.π f g) where
left_cancellation _ _ w := coequalizer.hom_ext w
#align category_theory.limits.coequalizer.π_epi CategoryTheory.Limits.coequalizer.π_epi
end
section
variable {f g}
theorem epi_of_isColimit_cofork {c : Cofork f g} (i : IsColimit c) : Epi c.π :=
{ left_cancellation := fun _ _ w => Cofork.IsColimit.hom_ext i w }
#align category_theory.limits.epi_of_is_colimit_cofork CategoryTheory.Limits.epi_of_isColimit_cofork
end
section
variable {f g}
def idCofork (h : f = g) : Cofork f g :=
Cofork.ofπ (𝟙 Y) <| h ▸ rfl
#align category_theory.limits.id_cofork CategoryTheory.Limits.idCofork
def isColimitIdCofork (h : f = g) : IsColimit (idCofork h) :=
Cofork.IsColimit.mk _ (fun s => Cofork.π s) (fun s => Category.id_comp _) fun s m h => by
convert h
exact (Category.id_comp _).symm
#align category_theory.limits.is_colimit_id_cofork CategoryTheory.Limits.isColimitIdCofork
theorem isIso_colimit_cocone_parallelPair_of_eq (h₀ : f = g) {c : Cofork f g} (h : IsColimit c) :
IsIso c.π :=
Iso.isIso_hom <| IsColimit.coconePointUniqueUpToIso (isColimitIdCofork h₀) h
#align category_theory.limits.is_iso_colimit_cocone_parallel_pair_of_eq CategoryTheory.Limits.isIso_colimit_cocone_parallelPair_of_eq
theorem coequalizer.π_of_eq [HasCoequalizer f g] (h : f = g) : IsIso (coequalizer.π f g) :=
isIso_colimit_cocone_parallelPair_of_eq h <| colimit.isColimit _
#align category_theory.limits.coequalizer.π_of_eq CategoryTheory.Limits.coequalizer.π_of_eq
theorem isIso_colimit_cocone_parallelPair_of_self {c : Cofork f f} (h : IsColimit c) : IsIso c.π :=
isIso_colimit_cocone_parallelPair_of_eq rfl h
#align category_theory.limits.is_iso_colimit_cocone_parallel_pair_of_self CategoryTheory.Limits.isIso_colimit_cocone_parallelPair_of_self
theorem isIso_limit_cocone_parallelPair_of_epi {c : Cofork f g} (h : IsColimit c) [Mono c.π] :
IsIso c.π :=
isIso_colimit_cocone_parallelPair_of_eq ((cancel_mono _).1 (Cofork.condition c)) h
#align category_theory.limits.is_iso_limit_cocone_parallel_pair_of_epi CategoryTheory.Limits.isIso_limit_cocone_parallelPair_of_epi
theorem eq_of_mono_cofork_π (t : Cofork f g) [Mono (Cofork.π t)] : f = g :=
(cancel_mono (Cofork.π t)).1 <| Cofork.condition t
#align category_theory.limits.eq_of_mono_cofork_π CategoryTheory.Limits.eq_of_mono_cofork_π
theorem eq_of_mono_coequalizer [HasCoequalizer f g] [Mono (coequalizer.π f g)] : f = g :=
(cancel_mono (coequalizer.π f g)).1 <| coequalizer.condition _ _
#align category_theory.limits.eq_of_mono_coequalizer CategoryTheory.Limits.eq_of_mono_coequalizer
end
instance hasCoequalizer_of_self : HasCoequalizer f f :=
HasColimit.mk
{ cocone := idCofork rfl
isColimit := isColimitIdCofork rfl }
#align category_theory.limits.has_coequalizer_of_self CategoryTheory.Limits.hasCoequalizer_of_self
instance coequalizer.π_of_self : IsIso (coequalizer.π f f) :=
coequalizer.π_of_eq rfl
#align category_theory.limits.coequalizer.π_of_self CategoryTheory.Limits.coequalizer.π_of_self
noncomputable def coequalizer.isoTargetOfSelf : coequalizer f f ≅ Y :=
(asIso (coequalizer.π f f)).symm
#align category_theory.limits.coequalizer.iso_target_of_self CategoryTheory.Limits.coequalizer.isoTargetOfSelf
@[simp]
| Mathlib/CategoryTheory/Limits/Shapes/Equalizers.lean | 1,114 | 1,117 | theorem coequalizer.isoTargetOfSelf_hom :
(coequalizer.isoTargetOfSelf f).hom = coequalizer.desc (𝟙 Y) (by simp) := by |
ext
simp [coequalizer.isoTargetOfSelf]
|
import Mathlib.Probability.Variance
#align_import probability.moments from "leanprover-community/mathlib"@"85453a2a14be8da64caf15ca50930cf4c6e5d8de"
open MeasureTheory Filter Finset Real
noncomputable section
open scoped MeasureTheory ProbabilityTheory ENNReal NNReal
namespace ProbabilityTheory
variable {Ω ι : Type*} {m : MeasurableSpace Ω} {X : Ω → ℝ} {p : ℕ} {μ : Measure Ω}
def moment (X : Ω → ℝ) (p : ℕ) (μ : Measure Ω) : ℝ :=
μ[X ^ p]
#align probability_theory.moment ProbabilityTheory.moment
def centralMoment (X : Ω → ℝ) (p : ℕ) (μ : Measure Ω) : ℝ := by
have m := fun (x : Ω) => μ[X] -- Porting note: Lean deems `μ[(X - fun x => μ[X]) ^ p]` ambiguous
exact μ[(X - m) ^ p]
#align probability_theory.central_moment ProbabilityTheory.centralMoment
@[simp]
theorem moment_zero (hp : p ≠ 0) : moment 0 p μ = 0 := by
simp only [moment, hp, zero_pow, Ne, not_false_iff, Pi.zero_apply, integral_const,
smul_eq_mul, mul_zero, integral_zero]
#align probability_theory.moment_zero ProbabilityTheory.moment_zero
@[simp]
theorem centralMoment_zero (hp : p ≠ 0) : centralMoment 0 p μ = 0 := by
simp only [centralMoment, hp, Pi.zero_apply, integral_const, smul_eq_mul,
mul_zero, zero_sub, Pi.pow_apply, Pi.neg_apply, neg_zero, zero_pow, Ne, not_false_iff]
#align probability_theory.central_moment_zero ProbabilityTheory.centralMoment_zero
theorem centralMoment_one' [IsFiniteMeasure μ] (h_int : Integrable X μ) :
centralMoment X 1 μ = (1 - (μ Set.univ).toReal) * μ[X] := by
simp only [centralMoment, Pi.sub_apply, pow_one]
rw [integral_sub h_int (integrable_const _)]
simp only [sub_mul, integral_const, smul_eq_mul, one_mul]
#align probability_theory.central_moment_one' ProbabilityTheory.centralMoment_one'
@[simp]
theorem centralMoment_one [IsProbabilityMeasure μ] : centralMoment X 1 μ = 0 := by
by_cases h_int : Integrable X μ
· rw [centralMoment_one' h_int]
simp only [measure_univ, ENNReal.one_toReal, sub_self, zero_mul]
· simp only [centralMoment, Pi.sub_apply, pow_one]
have : ¬Integrable (fun x => X x - integral μ X) μ := by
refine fun h_sub => h_int ?_
have h_add : X = (fun x => X x - integral μ X) + fun _ => integral μ X := by ext1 x; simp
rw [h_add]
exact h_sub.add (integrable_const _)
rw [integral_undef this]
#align probability_theory.central_moment_one ProbabilityTheory.centralMoment_one
theorem centralMoment_two_eq_variance [IsFiniteMeasure μ] (hX : Memℒp X 2 μ) :
centralMoment X 2 μ = variance X μ := by rw [hX.variance_eq]; rfl
#align probability_theory.central_moment_two_eq_variance ProbabilityTheory.centralMoment_two_eq_variance
section MomentGeneratingFunction
variable {t : ℝ}
def mgf (X : Ω → ℝ) (μ : Measure Ω) (t : ℝ) : ℝ :=
μ[fun ω => exp (t * X ω)]
#align probability_theory.mgf ProbabilityTheory.mgf
def cgf (X : Ω → ℝ) (μ : Measure Ω) (t : ℝ) : ℝ :=
log (mgf X μ t)
#align probability_theory.cgf ProbabilityTheory.cgf
@[simp]
theorem mgf_zero_fun : mgf 0 μ t = (μ Set.univ).toReal := by
simp only [mgf, Pi.zero_apply, mul_zero, exp_zero, integral_const, smul_eq_mul, mul_one]
#align probability_theory.mgf_zero_fun ProbabilityTheory.mgf_zero_fun
@[simp]
| Mathlib/Probability/Moments.lean | 118 | 118 | theorem cgf_zero_fun : cgf 0 μ t = log (μ Set.univ).toReal := by | simp only [cgf, mgf_zero_fun]
|
import Mathlib.Analysis.Convolution
import Mathlib.Analysis.Calculus.BumpFunction.Normed
import Mathlib.MeasureTheory.Integral.Average
import Mathlib.MeasureTheory.Covering.Differentiation
import Mathlib.MeasureTheory.Covering.BesicovitchVectorSpace
import Mathlib.MeasureTheory.Measure.Haar.Unique
#align_import analysis.convolution from "leanprover-community/mathlib"@"8905e5ed90859939681a725b00f6063e65096d95"
universe uG uE'
open ContinuousLinearMap Metric MeasureTheory Filter Function Measure Set
open scoped Convolution Topology
namespace ContDiffBump
variable {G : Type uG} {E' : Type uE'} [NormedAddCommGroup E'] {g : G → E'} [MeasurableSpace G]
{μ : MeasureTheory.Measure G} [NormedSpace ℝ E'] [NormedAddCommGroup G] [NormedSpace ℝ G]
[HasContDiffBump G] [CompleteSpace E'] {φ : ContDiffBump (0 : G)} {x₀ : G}
theorem convolution_eq_right {x₀ : G} (hg : ∀ x ∈ ball x₀ φ.rOut, g x = g x₀) :
(φ ⋆[lsmul ℝ ℝ, μ] g : G → E') x₀ = integral μ φ • g x₀ := by
simp_rw [convolution_eq_right' _ φ.support_eq.subset hg, lsmul_apply, integral_smul_const]
#align cont_diff_bump.convolution_eq_right ContDiffBump.convolution_eq_right
variable [BorelSpace G]
variable [IsLocallyFiniteMeasure μ] [μ.IsOpenPosMeasure]
variable [FiniteDimensional ℝ G]
theorem normed_convolution_eq_right {x₀ : G} (hg : ∀ x ∈ ball x₀ φ.rOut, g x = g x₀) :
(φ.normed μ ⋆[lsmul ℝ ℝ, μ] g : G → E') x₀ = g x₀ := by
rw [convolution_eq_right' _ φ.support_normed_eq.subset hg]
exact integral_normed_smul φ μ (g x₀)
#align cont_diff_bump.normed_convolution_eq_right ContDiffBump.normed_convolution_eq_right
variable [μ.IsAddLeftInvariant]
theorem dist_normed_convolution_le {x₀ : G} {ε : ℝ} (hmg : AEStronglyMeasurable g μ)
(hg : ∀ x ∈ ball x₀ φ.rOut, dist (g x) (g x₀) ≤ ε) :
dist ((φ.normed μ ⋆[lsmul ℝ ℝ, μ] g : G → E') x₀) (g x₀) ≤ ε :=
dist_convolution_le (by simp_rw [← dist_self (g x₀), hg x₀ (mem_ball_self φ.rOut_pos)])
φ.support_normed_eq.subset φ.nonneg_normed φ.integral_normed hmg hg
#align cont_diff_bump.dist_normed_convolution_le ContDiffBump.dist_normed_convolution_le
nonrec theorem convolution_tendsto_right {ι} {φ : ι → ContDiffBump (0 : G)} {g : ι → G → E'}
{k : ι → G} {x₀ : G} {z₀ : E'} {l : Filter ι} (hφ : Tendsto (fun i => (φ i).rOut) l (𝓝 0))
(hig : ∀ᶠ i in l, AEStronglyMeasurable (g i) μ) (hcg : Tendsto (uncurry g) (l ×ˢ 𝓝 x₀) (𝓝 z₀))
(hk : Tendsto k l (𝓝 x₀)) :
Tendsto (fun i => ((φ i).normed μ ⋆[lsmul ℝ ℝ, μ] g i) (k i)) l (𝓝 z₀) :=
convolution_tendsto_right (eventually_of_forall fun i => (φ i).nonneg_normed)
(eventually_of_forall fun i => (φ i).integral_normed) (tendsto_support_normed_smallSets hφ) hig
hcg hk
#align cont_diff_bump.convolution_tendsto_right ContDiffBump.convolution_tendsto_right
theorem convolution_tendsto_right_of_continuous {ι} {φ : ι → ContDiffBump (0 : G)} {l : Filter ι}
(hφ : Tendsto (fun i => (φ i).rOut) l (𝓝 0)) (hg : Continuous g) (x₀ : G) :
Tendsto (fun i => ((φ i).normed μ ⋆[lsmul ℝ ℝ, μ] g) x₀) l (𝓝 (g x₀)) :=
convolution_tendsto_right hφ (eventually_of_forall fun _ => hg.aestronglyMeasurable)
((hg.tendsto x₀).comp tendsto_snd) tendsto_const_nhds
#align cont_diff_bump.convolution_tendsto_right_of_continuous ContDiffBump.convolution_tendsto_right_of_continuous
| Mathlib/Analysis/Calculus/BumpFunction/Convolution.lean | 110 | 139 | theorem ae_convolution_tendsto_right_of_locallyIntegrable
{ι} {φ : ι → ContDiffBump (0 : G)} {l : Filter ι} {K : ℝ}
(hφ : Tendsto (fun i ↦ (φ i).rOut) l (𝓝 0))
(h'φ : ∀ᶠ i in l, (φ i).rOut ≤ K * (φ i).rIn) (hg : LocallyIntegrable g μ) : ∀ᵐ x₀ ∂μ,
Tendsto (fun i ↦ ((φ i).normed μ ⋆[lsmul ℝ ℝ, μ] g) x₀) l (𝓝 (g x₀)) := by |
have : IsAddHaarMeasure μ := ⟨⟩
-- By Lebesgue differentiation theorem, the average of `g` on a small ball converges
-- almost everywhere to the value of `g` as the radius shrinks to zero.
-- We will see that this set of points satisfies the desired conclusion.
filter_upwards [(Besicovitch.vitaliFamily μ).ae_tendsto_average_norm_sub hg] with x₀ h₀
simp only [convolution_eq_swap, lsmul_apply]
have hφ' : Tendsto (fun i ↦ (φ i).rOut) l (𝓝[>] 0) :=
tendsto_nhdsWithin_iff.2 ⟨hφ, eventually_of_forall (fun i ↦ (φ i).rOut_pos)⟩
have := (h₀.comp (Besicovitch.tendsto_filterAt μ x₀)).comp hφ'
simp only [Function.comp] at this
apply tendsto_integral_smul_of_tendsto_average_norm_sub (K ^ (FiniteDimensional.finrank ℝ G)) this
· filter_upwards with i using
hg.integrableOn_isCompact (isCompact_closedBall _ _)
· apply tendsto_const_nhds.congr (fun i ↦ ?_)
rw [← integral_neg_eq_self]
simp only [sub_neg_eq_add, integral_add_left_eq_self, integral_normed]
· filter_upwards with i
change support ((ContDiffBump.normed (φ i) μ) ∘ (fun y ↦ x₀ - y)) ⊆ closedBall x₀ (φ i).rOut
simp only [support_comp_eq_preimage, support_normed_eq]
intro x hx
simp only [mem_preimage, mem_ball, dist_zero_right] at hx
simpa [dist_eq_norm_sub'] using hx.le
· filter_upwards [h'φ] with i hi x
rw [abs_of_nonneg (nonneg_normed _ _), addHaar_closedBall_center]
exact (φ i).normed_le_div_measure_closedBall_rOut _ _ hi _
|
import Mathlib.Combinatorics.SimpleGraph.Subgraph
import Mathlib.Data.List.Rotate
#align_import combinatorics.simple_graph.connectivity from "leanprover-community/mathlib"@"b99e2d58a5e6861833fa8de11e51a81144258db4"
open Function
universe u v w
namespace SimpleGraph
variable {V : Type u} {V' : Type v} {V'' : Type w}
variable (G : SimpleGraph V) (G' : SimpleGraph V') (G'' : SimpleGraph V'')
inductive Walk : V → V → Type u
| nil {u : V} : Walk u u
| cons {u v w : V} (h : G.Adj u v) (p : Walk v w) : Walk u w
deriving DecidableEq
#align simple_graph.walk SimpleGraph.Walk
attribute [refl] Walk.nil
@[simps]
instance Walk.instInhabited (v : V) : Inhabited (G.Walk v v) := ⟨Walk.nil⟩
#align simple_graph.walk.inhabited SimpleGraph.Walk.instInhabited
@[match_pattern, reducible]
def Adj.toWalk {G : SimpleGraph V} {u v : V} (h : G.Adj u v) : G.Walk u v :=
Walk.cons h Walk.nil
#align simple_graph.adj.to_walk SimpleGraph.Adj.toWalk
namespace Walk
variable {G}
@[match_pattern]
abbrev nil' (u : V) : G.Walk u u := Walk.nil
#align simple_graph.walk.nil' SimpleGraph.Walk.nil'
@[match_pattern]
abbrev cons' (u v w : V) (h : G.Adj u v) (p : G.Walk v w) : G.Walk u w := Walk.cons h p
#align simple_graph.walk.cons' SimpleGraph.Walk.cons'
protected def copy {u v u' v'} (p : G.Walk u v) (hu : u = u') (hv : v = v') : G.Walk u' v' :=
hu ▸ hv ▸ p
#align simple_graph.walk.copy SimpleGraph.Walk.copy
@[simp]
theorem copy_rfl_rfl {u v} (p : G.Walk u v) : p.copy rfl rfl = p := rfl
#align simple_graph.walk.copy_rfl_rfl SimpleGraph.Walk.copy_rfl_rfl
@[simp]
theorem copy_copy {u v u' v' u'' v''} (p : G.Walk u v)
(hu : u = u') (hv : v = v') (hu' : u' = u'') (hv' : v' = v'') :
(p.copy hu hv).copy hu' hv' = p.copy (hu.trans hu') (hv.trans hv') := by
subst_vars
rfl
#align simple_graph.walk.copy_copy SimpleGraph.Walk.copy_copy
@[simp]
theorem copy_nil {u u'} (hu : u = u') : (Walk.nil : G.Walk u u).copy hu hu = Walk.nil := by
subst_vars
rfl
#align simple_graph.walk.copy_nil SimpleGraph.Walk.copy_nil
theorem copy_cons {u v w u' w'} (h : G.Adj u v) (p : G.Walk v w) (hu : u = u') (hw : w = w') :
(Walk.cons h p).copy hu hw = Walk.cons (hu ▸ h) (p.copy rfl hw) := by
subst_vars
rfl
#align simple_graph.walk.copy_cons SimpleGraph.Walk.copy_cons
@[simp]
theorem cons_copy {u v w v' w'} (h : G.Adj u v) (p : G.Walk v' w') (hv : v' = v) (hw : w' = w) :
Walk.cons h (p.copy hv hw) = (Walk.cons (hv ▸ h) p).copy rfl hw := by
subst_vars
rfl
#align simple_graph.walk.cons_copy SimpleGraph.Walk.cons_copy
theorem exists_eq_cons_of_ne {u v : V} (hne : u ≠ v) :
∀ (p : G.Walk u v), ∃ (w : V) (h : G.Adj u w) (p' : G.Walk w v), p = cons h p'
| nil => (hne rfl).elim
| cons h p' => ⟨_, h, p', rfl⟩
#align simple_graph.walk.exists_eq_cons_of_ne SimpleGraph.Walk.exists_eq_cons_of_ne
def length {u v : V} : G.Walk u v → ℕ
| nil => 0
| cons _ q => q.length.succ
#align simple_graph.walk.length SimpleGraph.Walk.length
@[trans]
def append {u v w : V} : G.Walk u v → G.Walk v w → G.Walk u w
| nil, q => q
| cons h p, q => cons h (p.append q)
#align simple_graph.walk.append SimpleGraph.Walk.append
def concat {u v w : V} (p : G.Walk u v) (h : G.Adj v w) : G.Walk u w := p.append (cons h nil)
#align simple_graph.walk.concat SimpleGraph.Walk.concat
theorem concat_eq_append {u v w : V} (p : G.Walk u v) (h : G.Adj v w) :
p.concat h = p.append (cons h nil) := rfl
#align simple_graph.walk.concat_eq_append SimpleGraph.Walk.concat_eq_append
protected def reverseAux {u v w : V} : G.Walk u v → G.Walk u w → G.Walk v w
| nil, q => q
| cons h p, q => Walk.reverseAux p (cons (G.symm h) q)
#align simple_graph.walk.reverse_aux SimpleGraph.Walk.reverseAux
@[symm]
def reverse {u v : V} (w : G.Walk u v) : G.Walk v u := w.reverseAux nil
#align simple_graph.walk.reverse SimpleGraph.Walk.reverse
def getVert {u v : V} : G.Walk u v → ℕ → V
| nil, _ => u
| cons _ _, 0 => u
| cons _ q, n + 1 => q.getVert n
#align simple_graph.walk.get_vert SimpleGraph.Walk.getVert
@[simp]
theorem getVert_zero {u v} (w : G.Walk u v) : w.getVert 0 = u := by cases w <;> rfl
#align simple_graph.walk.get_vert_zero SimpleGraph.Walk.getVert_zero
theorem getVert_of_length_le {u v} (w : G.Walk u v) {i : ℕ} (hi : w.length ≤ i) :
w.getVert i = v := by
induction w generalizing i with
| nil => rfl
| cons _ _ ih =>
cases i
· cases hi
· exact ih (Nat.succ_le_succ_iff.1 hi)
#align simple_graph.walk.get_vert_of_length_le SimpleGraph.Walk.getVert_of_length_le
@[simp]
theorem getVert_length {u v} (w : G.Walk u v) : w.getVert w.length = v :=
w.getVert_of_length_le rfl.le
#align simple_graph.walk.get_vert_length SimpleGraph.Walk.getVert_length
theorem adj_getVert_succ {u v} (w : G.Walk u v) {i : ℕ} (hi : i < w.length) :
G.Adj (w.getVert i) (w.getVert (i + 1)) := by
induction w generalizing i with
| nil => cases hi
| cons hxy _ ih =>
cases i
· simp [getVert, hxy]
· exact ih (Nat.succ_lt_succ_iff.1 hi)
#align simple_graph.walk.adj_get_vert_succ SimpleGraph.Walk.adj_getVert_succ
@[simp]
theorem cons_append {u v w x : V} (h : G.Adj u v) (p : G.Walk v w) (q : G.Walk w x) :
(cons h p).append q = cons h (p.append q) := rfl
#align simple_graph.walk.cons_append SimpleGraph.Walk.cons_append
@[simp]
theorem cons_nil_append {u v w : V} (h : G.Adj u v) (p : G.Walk v w) :
(cons h nil).append p = cons h p := rfl
#align simple_graph.walk.cons_nil_append SimpleGraph.Walk.cons_nil_append
@[simp]
theorem append_nil {u v : V} (p : G.Walk u v) : p.append nil = p := by
induction p with
| nil => rfl
| cons _ _ ih => rw [cons_append, ih]
#align simple_graph.walk.append_nil SimpleGraph.Walk.append_nil
@[simp]
theorem nil_append {u v : V} (p : G.Walk u v) : nil.append p = p :=
rfl
#align simple_graph.walk.nil_append SimpleGraph.Walk.nil_append
theorem append_assoc {u v w x : V} (p : G.Walk u v) (q : G.Walk v w) (r : G.Walk w x) :
p.append (q.append r) = (p.append q).append r := by
induction p with
| nil => rfl
| cons h p' ih =>
dsimp only [append]
rw [ih]
#align simple_graph.walk.append_assoc SimpleGraph.Walk.append_assoc
@[simp]
theorem append_copy_copy {u v w u' v' w'} (p : G.Walk u v) (q : G.Walk v w)
(hu : u = u') (hv : v = v') (hw : w = w') :
(p.copy hu hv).append (q.copy hv hw) = (p.append q).copy hu hw := by
subst_vars
rfl
#align simple_graph.walk.append_copy_copy SimpleGraph.Walk.append_copy_copy
theorem concat_nil {u v : V} (h : G.Adj u v) : nil.concat h = cons h nil := rfl
#align simple_graph.walk.concat_nil SimpleGraph.Walk.concat_nil
@[simp]
theorem concat_cons {u v w x : V} (h : G.Adj u v) (p : G.Walk v w) (h' : G.Adj w x) :
(cons h p).concat h' = cons h (p.concat h') := rfl
#align simple_graph.walk.concat_cons SimpleGraph.Walk.concat_cons
theorem append_concat {u v w x : V} (p : G.Walk u v) (q : G.Walk v w) (h : G.Adj w x) :
p.append (q.concat h) = (p.append q).concat h := append_assoc _ _ _
#align simple_graph.walk.append_concat SimpleGraph.Walk.append_concat
theorem concat_append {u v w x : V} (p : G.Walk u v) (h : G.Adj v w) (q : G.Walk w x) :
(p.concat h).append q = p.append (cons h q) := by
rw [concat_eq_append, ← append_assoc, cons_nil_append]
#align simple_graph.walk.concat_append SimpleGraph.Walk.concat_append
theorem exists_cons_eq_concat {u v w : V} (h : G.Adj u v) (p : G.Walk v w) :
∃ (x : V) (q : G.Walk u x) (h' : G.Adj x w), cons h p = q.concat h' := by
induction p generalizing u with
| nil => exact ⟨_, nil, h, rfl⟩
| cons h' p ih =>
obtain ⟨y, q, h'', hc⟩ := ih h'
refine ⟨y, cons h q, h'', ?_⟩
rw [concat_cons, hc]
#align simple_graph.walk.exists_cons_eq_concat SimpleGraph.Walk.exists_cons_eq_concat
theorem exists_concat_eq_cons {u v w : V} :
∀ (p : G.Walk u v) (h : G.Adj v w),
∃ (x : V) (h' : G.Adj u x) (q : G.Walk x w), p.concat h = cons h' q
| nil, h => ⟨_, h, nil, rfl⟩
| cons h' p, h => ⟨_, h', Walk.concat p h, concat_cons _ _ _⟩
#align simple_graph.walk.exists_concat_eq_cons SimpleGraph.Walk.exists_concat_eq_cons
@[simp]
theorem reverse_nil {u : V} : (nil : G.Walk u u).reverse = nil := rfl
#align simple_graph.walk.reverse_nil SimpleGraph.Walk.reverse_nil
theorem reverse_singleton {u v : V} (h : G.Adj u v) : (cons h nil).reverse = cons (G.symm h) nil :=
rfl
#align simple_graph.walk.reverse_singleton SimpleGraph.Walk.reverse_singleton
@[simp]
theorem cons_reverseAux {u v w x : V} (p : G.Walk u v) (q : G.Walk w x) (h : G.Adj w u) :
(cons h p).reverseAux q = p.reverseAux (cons (G.symm h) q) := rfl
#align simple_graph.walk.cons_reverse_aux SimpleGraph.Walk.cons_reverseAux
@[simp]
protected theorem append_reverseAux {u v w x : V}
(p : G.Walk u v) (q : G.Walk v w) (r : G.Walk u x) :
(p.append q).reverseAux r = q.reverseAux (p.reverseAux r) := by
induction p with
| nil => rfl
| cons h _ ih => exact ih q (cons (G.symm h) r)
#align simple_graph.walk.append_reverse_aux SimpleGraph.Walk.append_reverseAux
@[simp]
protected theorem reverseAux_append {u v w x : V}
(p : G.Walk u v) (q : G.Walk u w) (r : G.Walk w x) :
(p.reverseAux q).append r = p.reverseAux (q.append r) := by
induction p with
| nil => rfl
| cons h _ ih => simp [ih (cons (G.symm h) q)]
#align simple_graph.walk.reverse_aux_append SimpleGraph.Walk.reverseAux_append
protected theorem reverseAux_eq_reverse_append {u v w : V} (p : G.Walk u v) (q : G.Walk u w) :
p.reverseAux q = p.reverse.append q := by simp [reverse]
#align simple_graph.walk.reverse_aux_eq_reverse_append SimpleGraph.Walk.reverseAux_eq_reverse_append
@[simp]
theorem reverse_cons {u v w : V} (h : G.Adj u v) (p : G.Walk v w) :
(cons h p).reverse = p.reverse.append (cons (G.symm h) nil) := by simp [reverse]
#align simple_graph.walk.reverse_cons SimpleGraph.Walk.reverse_cons
@[simp]
theorem reverse_copy {u v u' v'} (p : G.Walk u v) (hu : u = u') (hv : v = v') :
(p.copy hu hv).reverse = p.reverse.copy hv hu := by
subst_vars
rfl
#align simple_graph.walk.reverse_copy SimpleGraph.Walk.reverse_copy
@[simp]
theorem reverse_append {u v w : V} (p : G.Walk u v) (q : G.Walk v w) :
(p.append q).reverse = q.reverse.append p.reverse := by simp [reverse]
#align simple_graph.walk.reverse_append SimpleGraph.Walk.reverse_append
@[simp]
theorem reverse_concat {u v w : V} (p : G.Walk u v) (h : G.Adj v w) :
(p.concat h).reverse = cons (G.symm h) p.reverse := by simp [concat_eq_append]
#align simple_graph.walk.reverse_concat SimpleGraph.Walk.reverse_concat
@[simp]
theorem reverse_reverse {u v : V} (p : G.Walk u v) : p.reverse.reverse = p := by
induction p with
| nil => rfl
| cons _ _ ih => simp [ih]
#align simple_graph.walk.reverse_reverse SimpleGraph.Walk.reverse_reverse
@[simp]
theorem length_nil {u : V} : (nil : G.Walk u u).length = 0 := rfl
#align simple_graph.walk.length_nil SimpleGraph.Walk.length_nil
@[simp]
theorem length_cons {u v w : V} (h : G.Adj u v) (p : G.Walk v w) :
(cons h p).length = p.length + 1 := rfl
#align simple_graph.walk.length_cons SimpleGraph.Walk.length_cons
@[simp]
theorem length_copy {u v u' v'} (p : G.Walk u v) (hu : u = u') (hv : v = v') :
(p.copy hu hv).length = p.length := by
subst_vars
rfl
#align simple_graph.walk.length_copy SimpleGraph.Walk.length_copy
@[simp]
theorem length_append {u v w : V} (p : G.Walk u v) (q : G.Walk v w) :
(p.append q).length = p.length + q.length := by
induction p with
| nil => simp
| cons _ _ ih => simp [ih, add_comm, add_left_comm, add_assoc]
#align simple_graph.walk.length_append SimpleGraph.Walk.length_append
@[simp]
theorem length_concat {u v w : V} (p : G.Walk u v) (h : G.Adj v w) :
(p.concat h).length = p.length + 1 := length_append _ _
#align simple_graph.walk.length_concat SimpleGraph.Walk.length_concat
@[simp]
protected theorem length_reverseAux {u v w : V} (p : G.Walk u v) (q : G.Walk u w) :
(p.reverseAux q).length = p.length + q.length := by
induction p with
| nil => simp!
| cons _ _ ih => simp [ih, Nat.succ_add, Nat.add_assoc]
#align simple_graph.walk.length_reverse_aux SimpleGraph.Walk.length_reverseAux
@[simp]
theorem length_reverse {u v : V} (p : G.Walk u v) : p.reverse.length = p.length := by simp [reverse]
#align simple_graph.walk.length_reverse SimpleGraph.Walk.length_reverse
theorem eq_of_length_eq_zero {u v : V} : ∀ {p : G.Walk u v}, p.length = 0 → u = v
| nil, _ => rfl
#align simple_graph.walk.eq_of_length_eq_zero SimpleGraph.Walk.eq_of_length_eq_zero
theorem adj_of_length_eq_one {u v : V} : ∀ {p : G.Walk u v}, p.length = 1 → G.Adj u v
| cons h nil, _ => h
@[simp]
theorem exists_length_eq_zero_iff {u v : V} : (∃ p : G.Walk u v, p.length = 0) ↔ u = v := by
constructor
· rintro ⟨p, hp⟩
exact eq_of_length_eq_zero hp
· rintro rfl
exact ⟨nil, rfl⟩
#align simple_graph.walk.exists_length_eq_zero_iff SimpleGraph.Walk.exists_length_eq_zero_iff
@[simp]
theorem length_eq_zero_iff {u : V} {p : G.Walk u u} : p.length = 0 ↔ p = nil := by cases p <;> simp
#align simple_graph.walk.length_eq_zero_iff SimpleGraph.Walk.length_eq_zero_iff
theorem getVert_append {u v w : V} (p : G.Walk u v) (q : G.Walk v w) (i : ℕ) :
(p.append q).getVert i = if i < p.length then p.getVert i else q.getVert (i - p.length) := by
induction p generalizing i with
| nil => simp
| cons h p ih => cases i <;> simp [getVert, ih, Nat.succ_lt_succ_iff]
theorem getVert_reverse {u v : V} (p : G.Walk u v) (i : ℕ) :
p.reverse.getVert i = p.getVert (p.length - i) := by
induction p with
| nil => rfl
| cons h p ih =>
simp only [reverse_cons, getVert_append, length_reverse, ih, length_cons]
split_ifs
next hi =>
rw [Nat.succ_sub hi.le]
simp [getVert]
next hi =>
obtain rfl | hi' := Nat.eq_or_lt_of_not_lt hi
· simp [getVert]
· rw [Nat.eq_add_of_sub_eq (Nat.sub_pos_of_lt hi') rfl, Nat.sub_eq_zero_of_le hi']
simp [getVert]
theorem concat_ne_nil {u v : V} (p : G.Walk u v) (h : G.Adj v u) : p.concat h ≠ nil := by
cases p <;> simp [concat]
#align simple_graph.walk.concat_ne_nil SimpleGraph.Walk.concat_ne_nil
theorem concat_inj {u v v' w : V} {p : G.Walk u v} {h : G.Adj v w} {p' : G.Walk u v'}
{h' : G.Adj v' w} (he : p.concat h = p'.concat h') : ∃ hv : v = v', p.copy rfl hv = p' := by
induction p with
| nil =>
cases p'
· exact ⟨rfl, rfl⟩
· exfalso
simp only [concat_nil, concat_cons, cons.injEq] at he
obtain ⟨rfl, he⟩ := he
simp only [heq_iff_eq] at he
exact concat_ne_nil _ _ he.symm
| cons _ _ ih =>
rw [concat_cons] at he
cases p'
· exfalso
simp only [concat_nil, cons.injEq] at he
obtain ⟨rfl, he⟩ := he
rw [heq_iff_eq] at he
exact concat_ne_nil _ _ he
· rw [concat_cons, cons.injEq] at he
obtain ⟨rfl, he⟩ := he
rw [heq_iff_eq] at he
obtain ⟨rfl, rfl⟩ := ih he
exact ⟨rfl, rfl⟩
#align simple_graph.walk.concat_inj SimpleGraph.Walk.concat_inj
def support {u v : V} : G.Walk u v → List V
| nil => [u]
| cons _ p => u :: p.support
#align simple_graph.walk.support SimpleGraph.Walk.support
def darts {u v : V} : G.Walk u v → List G.Dart
| nil => []
| cons h p => ⟨(u, _), h⟩ :: p.darts
#align simple_graph.walk.darts SimpleGraph.Walk.darts
def edges {u v : V} (p : G.Walk u v) : List (Sym2 V) := p.darts.map Dart.edge
#align simple_graph.walk.edges SimpleGraph.Walk.edges
@[simp]
theorem support_nil {u : V} : (nil : G.Walk u u).support = [u] := rfl
#align simple_graph.walk.support_nil SimpleGraph.Walk.support_nil
@[simp]
theorem support_cons {u v w : V} (h : G.Adj u v) (p : G.Walk v w) :
(cons h p).support = u :: p.support := rfl
#align simple_graph.walk.support_cons SimpleGraph.Walk.support_cons
@[simp]
theorem support_concat {u v w : V} (p : G.Walk u v) (h : G.Adj v w) :
(p.concat h).support = p.support.concat w := by
induction p <;> simp [*, concat_nil]
#align simple_graph.walk.support_concat SimpleGraph.Walk.support_concat
@[simp]
theorem support_copy {u v u' v'} (p : G.Walk u v) (hu : u = u') (hv : v = v') :
(p.copy hu hv).support = p.support := by
subst_vars
rfl
#align simple_graph.walk.support_copy SimpleGraph.Walk.support_copy
theorem support_append {u v w : V} (p : G.Walk u v) (p' : G.Walk v w) :
(p.append p').support = p.support ++ p'.support.tail := by
induction p <;> cases p' <;> simp [*]
#align simple_graph.walk.support_append SimpleGraph.Walk.support_append
@[simp]
theorem support_reverse {u v : V} (p : G.Walk u v) : p.reverse.support = p.support.reverse := by
induction p <;> simp [support_append, *]
#align simple_graph.walk.support_reverse SimpleGraph.Walk.support_reverse
@[simp]
theorem support_ne_nil {u v : V} (p : G.Walk u v) : p.support ≠ [] := by cases p <;> simp
#align simple_graph.walk.support_ne_nil SimpleGraph.Walk.support_ne_nil
theorem tail_support_append {u v w : V} (p : G.Walk u v) (p' : G.Walk v w) :
(p.append p').support.tail = p.support.tail ++ p'.support.tail := by
rw [support_append, List.tail_append_of_ne_nil _ _ (support_ne_nil _)]
#align simple_graph.walk.tail_support_append SimpleGraph.Walk.tail_support_append
theorem support_eq_cons {u v : V} (p : G.Walk u v) : p.support = u :: p.support.tail := by
cases p <;> simp
#align simple_graph.walk.support_eq_cons SimpleGraph.Walk.support_eq_cons
@[simp]
theorem start_mem_support {u v : V} (p : G.Walk u v) : u ∈ p.support := by cases p <;> simp
#align simple_graph.walk.start_mem_support SimpleGraph.Walk.start_mem_support
@[simp]
theorem end_mem_support {u v : V} (p : G.Walk u v) : v ∈ p.support := by induction p <;> simp [*]
#align simple_graph.walk.end_mem_support SimpleGraph.Walk.end_mem_support
@[simp]
theorem support_nonempty {u v : V} (p : G.Walk u v) : { w | w ∈ p.support }.Nonempty :=
⟨u, by simp⟩
#align simple_graph.walk.support_nonempty SimpleGraph.Walk.support_nonempty
theorem mem_support_iff {u v w : V} (p : G.Walk u v) :
w ∈ p.support ↔ w = u ∨ w ∈ p.support.tail := by cases p <;> simp
#align simple_graph.walk.mem_support_iff SimpleGraph.Walk.mem_support_iff
theorem mem_support_nil_iff {u v : V} : u ∈ (nil : G.Walk v v).support ↔ u = v := by simp
#align simple_graph.walk.mem_support_nil_iff SimpleGraph.Walk.mem_support_nil_iff
@[simp]
theorem mem_tail_support_append_iff {t u v w : V} (p : G.Walk u v) (p' : G.Walk v w) :
t ∈ (p.append p').support.tail ↔ t ∈ p.support.tail ∨ t ∈ p'.support.tail := by
rw [tail_support_append, List.mem_append]
#align simple_graph.walk.mem_tail_support_append_iff SimpleGraph.Walk.mem_tail_support_append_iff
@[simp]
theorem end_mem_tail_support_of_ne {u v : V} (h : u ≠ v) (p : G.Walk u v) : v ∈ p.support.tail := by
obtain ⟨_, _, _, rfl⟩ := exists_eq_cons_of_ne h p
simp
#align simple_graph.walk.end_mem_tail_support_of_ne SimpleGraph.Walk.end_mem_tail_support_of_ne
@[simp, nolint unusedHavesSuffices]
| Mathlib/Combinatorics/SimpleGraph/Connectivity.lean | 624 | 629 | theorem mem_support_append_iff {t u v w : V} (p : G.Walk u v) (p' : G.Walk v w) :
t ∈ (p.append p').support ↔ t ∈ p.support ∨ t ∈ p'.support := by |
simp only [mem_support_iff, mem_tail_support_append_iff]
obtain rfl | h := eq_or_ne t v <;> obtain rfl | h' := eq_or_ne t u <;>
-- this `have` triggers the unusedHavesSuffices linter:
(try have := h'.symm) <;> simp [*]
|
import Mathlib.Order.Atoms
import Mathlib.Order.OrderIsoNat
import Mathlib.Order.RelIso.Set
import Mathlib.Order.SupClosed
import Mathlib.Order.SupIndep
import Mathlib.Order.Zorn
import Mathlib.Data.Finset.Order
import Mathlib.Order.Interval.Set.OrderIso
import Mathlib.Data.Finite.Set
import Mathlib.Tactic.TFAE
#align_import order.compactly_generated from "leanprover-community/mathlib"@"c813ed7de0f5115f956239124e9b30f3a621966f"
open Set
variable {ι : Sort*} {α : Type*} [CompleteLattice α] {f : ι → α}
namespace CompleteLattice
variable (α)
def IsSupClosedCompact : Prop :=
∀ (s : Set α) (_ : s.Nonempty), SupClosed s → sSup s ∈ s
#align complete_lattice.is_sup_closed_compact CompleteLattice.IsSupClosedCompact
def IsSupFiniteCompact : Prop :=
∀ s : Set α, ∃ t : Finset α, ↑t ⊆ s ∧ sSup s = t.sup id
#align complete_lattice.is_Sup_finite_compact CompleteLattice.IsSupFiniteCompact
def IsCompactElement {α : Type*} [CompleteLattice α] (k : α) :=
∀ s : Set α, k ≤ sSup s → ∃ t : Finset α, ↑t ⊆ s ∧ k ≤ t.sup id
#align complete_lattice.is_compact_element CompleteLattice.IsCompactElement
theorem isCompactElement_iff.{u} {α : Type u} [CompleteLattice α] (k : α) :
CompleteLattice.IsCompactElement k ↔
∀ (ι : Type u) (s : ι → α), k ≤ iSup s → ∃ t : Finset ι, k ≤ t.sup s := by
classical
constructor
· intro H ι s hs
obtain ⟨t, ht, ht'⟩ := H (Set.range s) hs
have : ∀ x : t, ∃ i, s i = x := fun x => ht x.prop
choose f hf using this
refine ⟨Finset.univ.image f, ht'.trans ?_⟩
rw [Finset.sup_le_iff]
intro b hb
rw [← show s (f ⟨b, hb⟩) = id b from hf _]
exact Finset.le_sup (Finset.mem_image_of_mem f <| Finset.mem_univ (Subtype.mk b hb))
· intro H s hs
obtain ⟨t, ht⟩ :=
H s Subtype.val
(by
delta iSup
rwa [Subtype.range_coe])
refine ⟨t.image Subtype.val, by simp, ht.trans ?_⟩
rw [Finset.sup_le_iff]
exact fun x hx => @Finset.le_sup _ _ _ _ _ id _ (Finset.mem_image_of_mem Subtype.val hx)
#align complete_lattice.is_compact_element_iff CompleteLattice.isCompactElement_iff
theorem isCompactElement_iff_le_of_directed_sSup_le (k : α) :
IsCompactElement k ↔
∀ s : Set α, s.Nonempty → DirectedOn (· ≤ ·) s → k ≤ sSup s → ∃ x : α, x ∈ s ∧ k ≤ x := by
classical
constructor
· intro hk s hne hdir hsup
obtain ⟨t, ht⟩ := hk s hsup
-- certainly every element of t is below something in s, since ↑t ⊆ s.
have t_below_s : ∀ x ∈ t, ∃ y ∈ s, x ≤ y := fun x hxt => ⟨x, ht.left hxt, le_rfl⟩
obtain ⟨x, ⟨hxs, hsupx⟩⟩ := Finset.sup_le_of_le_directed s hne hdir t t_below_s
exact ⟨x, ⟨hxs, le_trans ht.right hsupx⟩⟩
· intro hk s hsup
-- Consider the set of finite joins of elements of the (plain) set s.
let S : Set α := { x | ∃ t : Finset α, ↑t ⊆ s ∧ x = t.sup id }
-- S is directed, nonempty, and still has sup above k.
have dir_US : DirectedOn (· ≤ ·) S := by
rintro x ⟨c, hc⟩ y ⟨d, hd⟩
use x ⊔ y
constructor
· use c ∪ d
constructor
· simp only [hc.left, hd.left, Set.union_subset_iff, Finset.coe_union, and_self_iff]
· simp only [hc.right, hd.right, Finset.sup_union]
simp only [and_self_iff, le_sup_left, le_sup_right]
have sup_S : sSup s ≤ sSup S := by
apply sSup_le_sSup
intro x hx
use {x}
simpa only [and_true_iff, id, Finset.coe_singleton, eq_self_iff_true,
Finset.sup_singleton, Set.singleton_subset_iff]
have Sne : S.Nonempty := by
suffices ⊥ ∈ S from Set.nonempty_of_mem this
use ∅
simp only [Set.empty_subset, Finset.coe_empty, Finset.sup_empty, eq_self_iff_true,
and_self_iff]
-- Now apply the defn of compact and finish.
obtain ⟨j, ⟨hjS, hjk⟩⟩ := hk S Sne dir_US (le_trans hsup sup_S)
obtain ⟨t, ⟨htS, htsup⟩⟩ := hjS
use t
exact ⟨htS, by rwa [← htsup]⟩
#align complete_lattice.is_compact_element_iff_le_of_directed_Sup_le CompleteLattice.isCompactElement_iff_le_of_directed_sSup_le
theorem IsCompactElement.exists_finset_of_le_iSup {k : α} (hk : IsCompactElement k) {ι : Type*}
(f : ι → α) (h : k ≤ ⨆ i, f i) : ∃ s : Finset ι, k ≤ ⨆ i ∈ s, f i := by
classical
let g : Finset ι → α := fun s => ⨆ i ∈ s, f i
have h1 : DirectedOn (· ≤ ·) (Set.range g) := by
rintro - ⟨s, rfl⟩ - ⟨t, rfl⟩
exact
⟨g (s ∪ t), ⟨s ∪ t, rfl⟩, iSup_le_iSup_of_subset Finset.subset_union_left,
iSup_le_iSup_of_subset Finset.subset_union_right⟩
have h2 : k ≤ sSup (Set.range g) :=
h.trans
(iSup_le fun i =>
le_sSup_of_le ⟨{i}, rfl⟩
(le_iSup_of_le i (le_iSup_of_le (Finset.mem_singleton_self i) le_rfl)))
obtain ⟨-, ⟨s, rfl⟩, hs⟩ :=
(isCompactElement_iff_le_of_directed_sSup_le α k).mp hk (Set.range g) (Set.range_nonempty g)
h1 h2
exact ⟨s, hs⟩
#align complete_lattice.is_compact_element.exists_finset_of_le_supr CompleteLattice.IsCompactElement.exists_finset_of_le_iSup
theorem IsCompactElement.directed_sSup_lt_of_lt {α : Type*} [CompleteLattice α] {k : α}
(hk : IsCompactElement k) {s : Set α} (hemp : s.Nonempty) (hdir : DirectedOn (· ≤ ·) s)
(hbelow : ∀ x ∈ s, x < k) : sSup s < k := by
rw [isCompactElement_iff_le_of_directed_sSup_le] at hk
by_contra h
have sSup' : sSup s ≤ k := sSup_le s k fun s hs => (hbelow s hs).le
replace sSup : sSup s = k := eq_iff_le_not_lt.mpr ⟨sSup', h⟩
obtain ⟨x, hxs, hkx⟩ := hk s hemp hdir sSup.symm.le
obtain hxk := hbelow x hxs
exact hxk.ne (hxk.le.antisymm hkx)
#align complete_lattice.is_compact_element.directed_Sup_lt_of_lt CompleteLattice.IsCompactElement.directed_sSup_lt_of_lt
theorem isCompactElement_finsetSup {α β : Type*} [CompleteLattice α] {f : β → α} (s : Finset β)
(h : ∀ x ∈ s, IsCompactElement (f x)) : IsCompactElement (s.sup f) := by
classical
rw [isCompactElement_iff_le_of_directed_sSup_le]
intro d hemp hdir hsup
rw [← Function.id_comp f]
rw [← Finset.sup_image]
apply Finset.sup_le_of_le_directed d hemp hdir
rintro x hx
obtain ⟨p, ⟨hps, rfl⟩⟩ := Finset.mem_image.mp hx
specialize h p hps
rw [isCompactElement_iff_le_of_directed_sSup_le] at h
specialize h d hemp hdir (le_trans (Finset.le_sup hps) hsup)
simpa only [exists_prop]
#align complete_lattice.finset_sup_compact_of_compact CompleteLattice.isCompactElement_finsetSup
theorem WellFounded.isSupFiniteCompact (h : WellFounded ((· > ·) : α → α → Prop)) :
IsSupFiniteCompact α := fun s => by
let S := { x | ∃ t : Finset α, ↑t ⊆ s ∧ t.sup id = x }
obtain ⟨m, ⟨t, ⟨ht₁, rfl⟩⟩, hm⟩ := h.has_min S ⟨⊥, ∅, by simp⟩
refine ⟨t, ht₁, (sSup_le _ _ fun y hy => ?_).antisymm ?_⟩
· classical
rw [eq_of_le_of_not_lt (Finset.sup_mono (t.subset_insert y))
(hm _ ⟨insert y t, by simp [Set.insert_subset_iff, hy, ht₁]⟩)]
simp
· rw [Finset.sup_id_eq_sSup]
exact sSup_le_sSup ht₁
#align complete_lattice.well_founded.is_Sup_finite_compact CompleteLattice.WellFounded.isSupFiniteCompact
| Mathlib/Order/CompactlyGenerated/Basic.lean | 215 | 224 | theorem IsSupFiniteCompact.isSupClosedCompact (h : IsSupFiniteCompact α) :
IsSupClosedCompact α := by |
intro s hne hsc; obtain ⟨t, ht₁, ht₂⟩ := h s; clear h
rcases t.eq_empty_or_nonempty with h | h
· subst h
rw [Finset.sup_empty] at ht₂
rw [ht₂]
simp [eq_singleton_bot_of_sSup_eq_bot_of_nonempty ht₂ hne]
· rw [ht₂]
exact hsc.finsetSup_mem h ht₁
|
import Mathlib.Data.Finsupp.Multiset
import Mathlib.Data.Nat.GCD.BigOperators
import Mathlib.Data.Nat.PrimeFin
import Mathlib.NumberTheory.Padics.PadicVal
import Mathlib.Order.Interval.Finset.Nat
#align_import data.nat.factorization.basic from "leanprover-community/mathlib"@"f694c7dead66f5d4c80f446c796a5aad14707f0e"
-- Workaround for lean4#2038
attribute [-instance] instBEqNat
open Nat Finset List Finsupp
namespace Nat
variable {a b m n p : ℕ}
def factorization (n : ℕ) : ℕ →₀ ℕ where
support := n.primeFactors
toFun p := if p.Prime then padicValNat p n else 0
mem_support_toFun := by simp [not_or]; aesop
#align nat.factorization Nat.factorization
@[simp] lemma support_factorization (n : ℕ) : (factorization n).support = n.primeFactors := rfl
theorem factorization_def (n : ℕ) {p : ℕ} (pp : p.Prime) : n.factorization p = padicValNat p n := by
simpa [factorization] using absurd pp
#align nat.factorization_def Nat.factorization_def
@[simp]
theorem factors_count_eq {n p : ℕ} : n.factors.count p = n.factorization p := by
rcases n.eq_zero_or_pos with (rfl | hn0)
· simp [factorization, count]
if pp : p.Prime then ?_ else
rw [count_eq_zero_of_not_mem (mt prime_of_mem_factors pp)]
simp [factorization, pp]
simp only [factorization_def _ pp]
apply _root_.le_antisymm
· rw [le_padicValNat_iff_replicate_subperm_factors pp hn0.ne']
exact List.le_count_iff_replicate_sublist.mp le_rfl |>.subperm
· rw [← lt_add_one_iff, lt_iff_not_ge, ge_iff_le,
le_padicValNat_iff_replicate_subperm_factors pp hn0.ne']
intro h
have := h.count_le p
simp at this
#align nat.factors_count_eq Nat.factors_count_eq
theorem factorization_eq_factors_multiset (n : ℕ) :
n.factorization = Multiset.toFinsupp (n.factors : Multiset ℕ) := by
ext p
simp
#align nat.factorization_eq_factors_multiset Nat.factorization_eq_factors_multiset
theorem multiplicity_eq_factorization {n p : ℕ} (pp : p.Prime) (hn : n ≠ 0) :
multiplicity p n = n.factorization p := by
simp [factorization, pp, padicValNat_def' pp.ne_one hn.bot_lt]
#align nat.multiplicity_eq_factorization Nat.multiplicity_eq_factorization
@[simp]
theorem factorization_prod_pow_eq_self {n : ℕ} (hn : n ≠ 0) : n.factorization.prod (· ^ ·) = n := by
rw [factorization_eq_factors_multiset n]
simp only [← prod_toMultiset, factorization, Multiset.prod_coe, Multiset.toFinsupp_toMultiset]
exact prod_factors hn
#align nat.factorization_prod_pow_eq_self Nat.factorization_prod_pow_eq_self
theorem eq_of_factorization_eq {a b : ℕ} (ha : a ≠ 0) (hb : b ≠ 0)
(h : ∀ p : ℕ, a.factorization p = b.factorization p) : a = b :=
eq_of_perm_factors ha hb (by simpa only [List.perm_iff_count, factors_count_eq] using h)
#align nat.eq_of_factorization_eq Nat.eq_of_factorization_eq
theorem factorization_inj : Set.InjOn factorization { x : ℕ | x ≠ 0 } := fun a ha b hb h =>
eq_of_factorization_eq ha hb fun p => by simp [h]
#align nat.factorization_inj Nat.factorization_inj
@[simp]
theorem factorization_zero : factorization 0 = 0 := by ext; simp [factorization]
#align nat.factorization_zero Nat.factorization_zero
@[simp]
theorem factorization_one : factorization 1 = 0 := by ext; simp [factorization]
#align nat.factorization_one Nat.factorization_one
#noalign nat.support_factorization
#align nat.factor_iff_mem_factorization Nat.mem_primeFactors_iff_mem_factors
#align nat.prime_of_mem_factorization Nat.prime_of_mem_primeFactors
#align nat.pos_of_mem_factorization Nat.pos_of_mem_primeFactors
#align nat.le_of_mem_factorization Nat.le_of_mem_primeFactors
theorem factorization_eq_zero_iff (n p : ℕ) :
n.factorization p = 0 ↔ ¬p.Prime ∨ ¬p ∣ n ∨ n = 0 := by
simp_rw [← not_mem_support_iff, support_factorization, mem_primeFactors, not_and_or, not_ne_iff]
#align nat.factorization_eq_zero_iff Nat.factorization_eq_zero_iff
@[simp]
theorem factorization_eq_zero_of_non_prime (n : ℕ) {p : ℕ} (hp : ¬p.Prime) :
n.factorization p = 0 := by simp [factorization_eq_zero_iff, hp]
#align nat.factorization_eq_zero_of_non_prime Nat.factorization_eq_zero_of_non_prime
theorem factorization_eq_zero_of_not_dvd {n p : ℕ} (h : ¬p ∣ n) : n.factorization p = 0 := by
simp [factorization_eq_zero_iff, h]
#align nat.factorization_eq_zero_of_not_dvd Nat.factorization_eq_zero_of_not_dvd
theorem factorization_eq_zero_of_lt {n p : ℕ} (h : n < p) : n.factorization p = 0 :=
Finsupp.not_mem_support_iff.mp (mt le_of_mem_primeFactors (not_le_of_lt h))
#align nat.factorization_eq_zero_of_lt Nat.factorization_eq_zero_of_lt
@[simp]
theorem factorization_zero_right (n : ℕ) : n.factorization 0 = 0 :=
factorization_eq_zero_of_non_prime _ not_prime_zero
#align nat.factorization_zero_right Nat.factorization_zero_right
@[simp]
theorem factorization_one_right (n : ℕ) : n.factorization 1 = 0 :=
factorization_eq_zero_of_non_prime _ not_prime_one
#align nat.factorization_one_right Nat.factorization_one_right
theorem dvd_of_factorization_pos {n p : ℕ} (hn : n.factorization p ≠ 0) : p ∣ n :=
dvd_of_mem_factors <| mem_primeFactors_iff_mem_factors.1 <| mem_support_iff.2 hn
#align nat.dvd_of_factorization_pos Nat.dvd_of_factorization_pos
theorem Prime.factorization_pos_of_dvd {n p : ℕ} (hp : p.Prime) (hn : n ≠ 0) (h : p ∣ n) :
0 < n.factorization p := by
rwa [← factors_count_eq, count_pos_iff_mem, mem_factors_iff_dvd hn hp]
#align nat.prime.factorization_pos_of_dvd Nat.Prime.factorization_pos_of_dvd
theorem factorization_eq_zero_of_remainder {p r : ℕ} (i : ℕ) (hr : ¬p ∣ r) :
(p * i + r).factorization p = 0 := by
apply factorization_eq_zero_of_not_dvd
rwa [← Nat.dvd_add_iff_right (Dvd.intro i rfl)]
#align nat.factorization_eq_zero_of_remainder Nat.factorization_eq_zero_of_remainder
theorem factorization_eq_zero_iff_remainder {p r : ℕ} (i : ℕ) (pp : p.Prime) (hr0 : r ≠ 0) :
¬p ∣ r ↔ (p * i + r).factorization p = 0 := by
refine ⟨factorization_eq_zero_of_remainder i, fun h => ?_⟩
rw [factorization_eq_zero_iff] at h
contrapose! h
refine ⟨pp, ?_, ?_⟩
· rwa [← Nat.dvd_add_iff_right (dvd_mul_right p i)]
· contrapose! hr0
exact (add_eq_zero_iff.mp hr0).2
#align nat.factorization_eq_zero_iff_remainder Nat.factorization_eq_zero_iff_remainder
theorem factorization_eq_zero_iff' (n : ℕ) : n.factorization = 0 ↔ n = 0 ∨ n = 1 := by
rw [factorization_eq_factors_multiset n]
simp [factorization, AddEquiv.map_eq_zero_iff, Multiset.coe_eq_zero]
#align nat.factorization_eq_zero_iff' Nat.factorization_eq_zero_iff'
@[simp]
theorem factorization_mul {a b : ℕ} (ha : a ≠ 0) (hb : b ≠ 0) :
(a * b).factorization = a.factorization + b.factorization := by
ext p
simp only [add_apply, ← factors_count_eq, perm_iff_count.mp (perm_factors_mul ha hb) p,
count_append]
#align nat.factorization_mul Nat.factorization_mul
#align nat.factorization_mul_support Nat.primeFactors_mul
lemma prod_factorization_eq_prod_primeFactors {β : Type*} [CommMonoid β] (f : ℕ → ℕ → β) :
n.factorization.prod f = ∏ p ∈ n.primeFactors, f p (n.factorization p) := rfl
#align nat.prod_factorization_eq_prod_factors Nat.prod_factorization_eq_prod_primeFactors
lemma prod_primeFactors_prod_factorization {β : Type*} [CommMonoid β] (f : ℕ → β) :
∏ p ∈ n.primeFactors, f p = n.factorization.prod (fun p _ ↦ f p) := rfl
theorem factorization_prod {α : Type*} {S : Finset α} {g : α → ℕ} (hS : ∀ x ∈ S, g x ≠ 0) :
(S.prod g).factorization = S.sum fun x => (g x).factorization := by
classical
ext p
refine Finset.induction_on' S ?_ ?_
· simp
· intro x T hxS hTS hxT IH
have hT : T.prod g ≠ 0 := prod_ne_zero_iff.mpr fun x hx => hS x (hTS hx)
simp [prod_insert hxT, sum_insert hxT, ← IH, factorization_mul (hS x hxS) hT]
#align nat.factorization_prod Nat.factorization_prod
@[simp]
theorem factorization_pow (n k : ℕ) : factorization (n ^ k) = k • n.factorization := by
induction' k with k ih; · simp
rcases eq_or_ne n 0 with (rfl | hn)
· simp
rw [Nat.pow_succ, mul_comm, factorization_mul hn (pow_ne_zero _ hn), ih,
add_smul, one_smul, add_comm]
#align nat.factorization_pow Nat.factorization_pow
@[simp]
protected theorem Prime.factorization {p : ℕ} (hp : Prime p) : p.factorization = single p 1 := by
ext q
rw [← factors_count_eq, factors_prime hp, single_apply, count_singleton', if_congr eq_comm] <;>
rfl
#align nat.prime.factorization Nat.Prime.factorization
@[simp]
theorem Prime.factorization_self {p : ℕ} (hp : Prime p) : p.factorization p = 1 := by simp [hp]
#align nat.prime.factorization_self Nat.Prime.factorization_self
theorem Prime.factorization_pow {p k : ℕ} (hp : Prime p) : (p ^ k).factorization = single p k := by
simp [hp]
#align nat.prime.factorization_pow Nat.Prime.factorization_pow
theorem eq_pow_of_factorization_eq_single {n p k : ℕ} (hn : n ≠ 0)
(h : n.factorization = Finsupp.single p k) : n = p ^ k := by
-- Porting note: explicitly added `Finsupp.prod_single_index`
rw [← Nat.factorization_prod_pow_eq_self hn, h, Finsupp.prod_single_index]
simp
#align nat.eq_pow_of_factorization_eq_single Nat.eq_pow_of_factorization_eq_single
theorem Prime.eq_of_factorization_pos {p q : ℕ} (hp : Prime p) (h : p.factorization q ≠ 0) :
p = q := by simpa [hp.factorization, single_apply] using h
#align nat.prime.eq_of_factorization_pos Nat.Prime.eq_of_factorization_pos
theorem prod_pow_factorization_eq_self {f : ℕ →₀ ℕ} (hf : ∀ p : ℕ, p ∈ f.support → Prime p) :
(f.prod (· ^ ·)).factorization = f := by
have h : ∀ x : ℕ, x ∈ f.support → x ^ f x ≠ 0 := fun p hp =>
pow_ne_zero _ (Prime.ne_zero (hf p hp))
simp only [Finsupp.prod, factorization_prod h]
conv =>
rhs
rw [(sum_single f).symm]
exact sum_congr rfl fun p hp => Prime.factorization_pow (hf p hp)
#align nat.prod_pow_factorization_eq_self Nat.prod_pow_factorization_eq_self
theorem eq_factorization_iff {n : ℕ} {f : ℕ →₀ ℕ} (hn : n ≠ 0) (hf : ∀ p ∈ f.support, Prime p) :
f = n.factorization ↔ f.prod (· ^ ·) = n :=
⟨fun h => by rw [h, factorization_prod_pow_eq_self hn], fun h => by
rw [← h, prod_pow_factorization_eq_self hf]⟩
#align nat.eq_factorization_iff Nat.eq_factorization_iff
def factorizationEquiv : ℕ+ ≃ { f : ℕ →₀ ℕ | ∀ p ∈ f.support, Prime p } where
toFun := fun ⟨n, _⟩ => ⟨n.factorization, fun _ => prime_of_mem_primeFactors⟩
invFun := fun ⟨f, hf⟩ =>
⟨f.prod _, prod_pow_pos_of_zero_not_mem_support fun H => not_prime_zero (hf 0 H)⟩
left_inv := fun ⟨_, hx⟩ => Subtype.ext <| factorization_prod_pow_eq_self hx.ne.symm
right_inv := fun ⟨_, hf⟩ => Subtype.ext <| prod_pow_factorization_eq_self hf
#align nat.factorization_equiv Nat.factorizationEquiv
theorem factorizationEquiv_apply (n : ℕ+) : (factorizationEquiv n).1 = n.1.factorization := by
cases n
rfl
#align nat.factorization_equiv_apply Nat.factorizationEquiv_apply
theorem factorizationEquiv_inv_apply {f : ℕ →₀ ℕ} (hf : ∀ p ∈ f.support, Prime p) :
(factorizationEquiv.symm ⟨f, hf⟩).1 = f.prod (· ^ ·) :=
rfl
#align nat.factorization_equiv_inv_apply Nat.factorizationEquiv_inv_apply
-- Porting note: Lean 4 thinks we need `HPow` without this
set_option quotPrecheck false in
notation "ord_proj[" p "] " n:arg => p ^ Nat.factorization n p
notation "ord_compl[" p "] " n:arg => n / ord_proj[p] n
@[simp]
theorem ord_proj_of_not_prime (n p : ℕ) (hp : ¬p.Prime) : ord_proj[p] n = 1 := by
simp [factorization_eq_zero_of_non_prime n hp]
#align nat.ord_proj_of_not_prime Nat.ord_proj_of_not_prime
@[simp]
theorem ord_compl_of_not_prime (n p : ℕ) (hp : ¬p.Prime) : ord_compl[p] n = n := by
simp [factorization_eq_zero_of_non_prime n hp]
#align nat.ord_compl_of_not_prime Nat.ord_compl_of_not_prime
theorem ord_proj_dvd (n p : ℕ) : ord_proj[p] n ∣ n := by
if hp : p.Prime then ?_ else simp [hp]
rw [← factors_count_eq]
apply dvd_of_factors_subperm (pow_ne_zero _ hp.ne_zero)
rw [hp.factors_pow, List.subperm_ext_iff]
intro q hq
simp [List.eq_of_mem_replicate hq]
#align nat.ord_proj_dvd Nat.ord_proj_dvd
theorem ord_compl_dvd (n p : ℕ) : ord_compl[p] n ∣ n :=
div_dvd_of_dvd (ord_proj_dvd n p)
#align nat.ord_compl_dvd Nat.ord_compl_dvd
theorem ord_proj_pos (n p : ℕ) : 0 < ord_proj[p] n := by
if pp : p.Prime then simp [pow_pos pp.pos] else simp [pp]
#align nat.ord_proj_pos Nat.ord_proj_pos
theorem ord_proj_le {n : ℕ} (p : ℕ) (hn : n ≠ 0) : ord_proj[p] n ≤ n :=
le_of_dvd hn.bot_lt (Nat.ord_proj_dvd n p)
#align nat.ord_proj_le Nat.ord_proj_le
theorem ord_compl_pos {n : ℕ} (p : ℕ) (hn : n ≠ 0) : 0 < ord_compl[p] n := by
if pp : p.Prime then
exact Nat.div_pos (ord_proj_le p hn) (ord_proj_pos n p)
else
simpa [Nat.factorization_eq_zero_of_non_prime n pp] using hn.bot_lt
#align nat.ord_compl_pos Nat.ord_compl_pos
theorem ord_compl_le (n p : ℕ) : ord_compl[p] n ≤ n :=
Nat.div_le_self _ _
#align nat.ord_compl_le Nat.ord_compl_le
theorem ord_proj_mul_ord_compl_eq_self (n p : ℕ) : ord_proj[p] n * ord_compl[p] n = n :=
Nat.mul_div_cancel' (ord_proj_dvd n p)
#align nat.ord_proj_mul_ord_compl_eq_self Nat.ord_proj_mul_ord_compl_eq_self
theorem ord_proj_mul {a b : ℕ} (p : ℕ) (ha : a ≠ 0) (hb : b ≠ 0) :
ord_proj[p] (a * b) = ord_proj[p] a * ord_proj[p] b := by
simp [factorization_mul ha hb, pow_add]
#align nat.ord_proj_mul Nat.ord_proj_mul
theorem ord_compl_mul (a b p : ℕ) : ord_compl[p] (a * b) = ord_compl[p] a * ord_compl[p] b := by
if ha : a = 0 then simp [ha] else
if hb : b = 0 then simp [hb] else
simp only [ord_proj_mul p ha hb]
rw [div_mul_div_comm (ord_proj_dvd a p) (ord_proj_dvd b p)]
#align nat.ord_compl_mul Nat.ord_compl_mul
#align nat.dvd_of_mem_factorization Nat.dvd_of_mem_primeFactors
theorem factorization_lt {n : ℕ} (p : ℕ) (hn : n ≠ 0) : n.factorization p < n := by
by_cases pp : p.Prime
· exact (pow_lt_pow_iff_right pp.one_lt).1 <| (ord_proj_le p hn).trans_lt <|
lt_pow_self pp.one_lt _
· simpa only [factorization_eq_zero_of_non_prime n pp] using hn.bot_lt
#align nat.factorization_lt Nat.factorization_lt
theorem factorization_le_of_le_pow {n p b : ℕ} (hb : n ≤ p ^ b) : n.factorization p ≤ b := by
if hn : n = 0 then simp [hn] else
if pp : p.Prime then
exact (pow_le_pow_iff_right pp.one_lt).1 ((ord_proj_le p hn).trans hb)
else
simp [factorization_eq_zero_of_non_prime n pp]
#align nat.factorization_le_of_le_pow Nat.factorization_le_of_le_pow
theorem factorization_le_iff_dvd {d n : ℕ} (hd : d ≠ 0) (hn : n ≠ 0) :
d.factorization ≤ n.factorization ↔ d ∣ n := by
constructor
· intro hdn
set K := n.factorization - d.factorization with hK
use K.prod (· ^ ·)
rw [← factorization_prod_pow_eq_self hn, ← factorization_prod_pow_eq_self hd,
← Finsupp.prod_add_index' pow_zero pow_add, hK, add_tsub_cancel_of_le hdn]
· rintro ⟨c, rfl⟩
rw [factorization_mul hd (right_ne_zero_of_mul hn)]
simp
#align nat.factorization_le_iff_dvd Nat.factorization_le_iff_dvd
theorem factorization_prime_le_iff_dvd {d n : ℕ} (hd : d ≠ 0) (hn : n ≠ 0) :
(∀ p : ℕ, p.Prime → d.factorization p ≤ n.factorization p) ↔ d ∣ n := by
rw [← factorization_le_iff_dvd hd hn]
refine ⟨fun h p => (em p.Prime).elim (h p) fun hp => ?_, fun h p _ => h p⟩
simp_rw [factorization_eq_zero_of_non_prime _ hp]
rfl
#align nat.factorization_prime_le_iff_dvd Nat.factorization_prime_le_iff_dvd
theorem pow_succ_factorization_not_dvd {n p : ℕ} (hn : n ≠ 0) (hp : p.Prime) :
¬p ^ (n.factorization p + 1) ∣ n := by
intro h
rw [← factorization_le_iff_dvd (pow_pos hp.pos _).ne' hn] at h
simpa [hp.factorization] using h p
#align nat.pow_succ_factorization_not_dvd Nat.pow_succ_factorization_not_dvd
theorem factorization_le_factorization_mul_left {a b : ℕ} (hb : b ≠ 0) :
a.factorization ≤ (a * b).factorization := by
rcases eq_or_ne a 0 with (rfl | ha)
· simp
rw [factorization_le_iff_dvd ha <| mul_ne_zero ha hb]
exact Dvd.intro b rfl
#align nat.factorization_le_factorization_mul_left Nat.factorization_le_factorization_mul_left
theorem factorization_le_factorization_mul_right {a b : ℕ} (ha : a ≠ 0) :
b.factorization ≤ (a * b).factorization := by
rw [mul_comm]
apply factorization_le_factorization_mul_left ha
#align nat.factorization_le_factorization_mul_right Nat.factorization_le_factorization_mul_right
theorem Prime.pow_dvd_iff_le_factorization {p k n : ℕ} (pp : Prime p) (hn : n ≠ 0) :
p ^ k ∣ n ↔ k ≤ n.factorization p := by
rw [← factorization_le_iff_dvd (pow_pos pp.pos k).ne' hn, pp.factorization_pow, single_le_iff]
#align nat.prime.pow_dvd_iff_le_factorization Nat.Prime.pow_dvd_iff_le_factorization
theorem Prime.pow_dvd_iff_dvd_ord_proj {p k n : ℕ} (pp : Prime p) (hn : n ≠ 0) :
p ^ k ∣ n ↔ p ^ k ∣ ord_proj[p] n := by
rw [pow_dvd_pow_iff_le_right pp.one_lt, pp.pow_dvd_iff_le_factorization hn]
#align nat.prime.pow_dvd_iff_dvd_ord_proj Nat.Prime.pow_dvd_iff_dvd_ord_proj
theorem Prime.dvd_iff_one_le_factorization {p n : ℕ} (pp : Prime p) (hn : n ≠ 0) :
p ∣ n ↔ 1 ≤ n.factorization p :=
Iff.trans (by simp) (pp.pow_dvd_iff_le_factorization hn)
#align nat.prime.dvd_iff_one_le_factorization Nat.Prime.dvd_iff_one_le_factorization
theorem exists_factorization_lt_of_lt {a b : ℕ} (ha : a ≠ 0) (hab : a < b) :
∃ p : ℕ, a.factorization p < b.factorization p := by
have hb : b ≠ 0 := (ha.bot_lt.trans hab).ne'
contrapose! hab
rw [← Finsupp.le_def, factorization_le_iff_dvd hb ha] at hab
exact le_of_dvd ha.bot_lt hab
#align nat.exists_factorization_lt_of_lt Nat.exists_factorization_lt_of_lt
@[simp]
theorem factorization_div {d n : ℕ} (h : d ∣ n) :
(n / d).factorization = n.factorization - d.factorization := by
rcases eq_or_ne d 0 with (rfl | hd); · simp [zero_dvd_iff.mp h]
rcases eq_or_ne n 0 with (rfl | hn); · simp
apply add_left_injective d.factorization
simp only
rw [tsub_add_cancel_of_le <| (Nat.factorization_le_iff_dvd hd hn).mpr h, ←
Nat.factorization_mul (Nat.div_pos (Nat.le_of_dvd hn.bot_lt h) hd.bot_lt).ne' hd,
Nat.div_mul_cancel h]
#align nat.factorization_div Nat.factorization_div
theorem dvd_ord_proj_of_dvd {n p : ℕ} (hn : n ≠ 0) (pp : p.Prime) (h : p ∣ n) : p ∣ ord_proj[p] n :=
dvd_pow_self p (Prime.factorization_pos_of_dvd pp hn h).ne'
#align nat.dvd_ord_proj_of_dvd Nat.dvd_ord_proj_of_dvd
theorem not_dvd_ord_compl {n p : ℕ} (hp : Prime p) (hn : n ≠ 0) : ¬p ∣ ord_compl[p] n := by
rw [Nat.Prime.dvd_iff_one_le_factorization hp (ord_compl_pos p hn).ne']
rw [Nat.factorization_div (Nat.ord_proj_dvd n p)]
simp [hp.factorization]
#align nat.not_dvd_ord_compl Nat.not_dvd_ord_compl
theorem coprime_ord_compl {n p : ℕ} (hp : Prime p) (hn : n ≠ 0) : Coprime p (ord_compl[p] n) :=
(or_iff_left (not_dvd_ord_compl hp hn)).mp <| coprime_or_dvd_of_prime hp _
#align nat.coprime_ord_compl Nat.coprime_ord_compl
theorem factorization_ord_compl (n p : ℕ) :
(ord_compl[p] n).factorization = n.factorization.erase p := by
if hn : n = 0 then simp [hn] else
if pp : p.Prime then ?_ else
-- Porting note: needed to solve side goal explicitly
rw [Finsupp.erase_of_not_mem_support] <;> simp [pp]
ext q
rcases eq_or_ne q p with (rfl | hqp)
· simp only [Finsupp.erase_same, factorization_eq_zero_iff, not_dvd_ord_compl pp hn]
simp
· rw [Finsupp.erase_ne hqp, factorization_div (ord_proj_dvd n p)]
simp [pp.factorization, hqp.symm]
#align nat.factorization_ord_compl Nat.factorization_ord_compl
-- `ord_compl[p] n` is the largest divisor of `n` not divisible by `p`.
theorem dvd_ord_compl_of_dvd_not_dvd {p d n : ℕ} (hdn : d ∣ n) (hpd : ¬p ∣ d) :
d ∣ ord_compl[p] n := by
if hn0 : n = 0 then simp [hn0] else
if hd0 : d = 0 then simp [hd0] at hpd else
rw [← factorization_le_iff_dvd hd0 (ord_compl_pos p hn0).ne', factorization_ord_compl]
intro q
if hqp : q = p then
simp [factorization_eq_zero_iff, hqp, hpd]
else
simp [hqp, (factorization_le_iff_dvd hd0 hn0).2 hdn q]
#align nat.dvd_ord_compl_of_dvd_not_dvd Nat.dvd_ord_compl_of_dvd_not_dvd
theorem exists_eq_pow_mul_and_not_dvd {n : ℕ} (hn : n ≠ 0) (p : ℕ) (hp : p ≠ 1) :
∃ e n' : ℕ, ¬p ∣ n' ∧ n = p ^ e * n' :=
let ⟨a', h₁, h₂⟩ :=
multiplicity.exists_eq_pow_mul_and_not_dvd
(multiplicity.finite_nat_iff.mpr ⟨hp, Nat.pos_of_ne_zero hn⟩)
⟨_, a', h₂, h₁⟩
#align nat.exists_eq_pow_mul_and_not_dvd Nat.exists_eq_pow_mul_and_not_dvd
theorem dvd_iff_div_factorization_eq_tsub {d n : ℕ} (hd : d ≠ 0) (hdn : d ≤ n) :
d ∣ n ↔ (n / d).factorization = n.factorization - d.factorization := by
refine ⟨factorization_div, ?_⟩
rcases eq_or_lt_of_le hdn with (rfl | hd_lt_n); · simp
have h1 : n / d ≠ 0 := fun H => Nat.lt_asymm hd_lt_n ((Nat.div_eq_zero_iff hd.bot_lt).mp H)
intro h
rw [dvd_iff_le_div_mul n d]
by_contra h2
cases' exists_factorization_lt_of_lt (mul_ne_zero h1 hd) (not_le.mp h2) with p hp
rwa [factorization_mul h1 hd, add_apply, ← lt_tsub_iff_right, h, tsub_apply,
lt_self_iff_false] at hp
#align nat.dvd_iff_div_factorization_eq_tsub Nat.dvd_iff_div_factorization_eq_tsub
theorem ord_proj_dvd_ord_proj_of_dvd {a b : ℕ} (hb0 : b ≠ 0) (hab : a ∣ b) (p : ℕ) :
ord_proj[p] a ∣ ord_proj[p] b := by
rcases em' p.Prime with (pp | pp); · simp [pp]
rcases eq_or_ne a 0 with (rfl | ha0); · simp
rw [pow_dvd_pow_iff_le_right pp.one_lt]
exact (factorization_le_iff_dvd ha0 hb0).2 hab p
#align nat.ord_proj_dvd_ord_proj_of_dvd Nat.ord_proj_dvd_ord_proj_of_dvd
theorem ord_proj_dvd_ord_proj_iff_dvd {a b : ℕ} (ha0 : a ≠ 0) (hb0 : b ≠ 0) :
(∀ p : ℕ, ord_proj[p] a ∣ ord_proj[p] b) ↔ a ∣ b := by
refine ⟨fun h => ?_, fun hab p => ord_proj_dvd_ord_proj_of_dvd hb0 hab p⟩
rw [← factorization_le_iff_dvd ha0 hb0]
intro q
rcases le_or_lt q 1 with (hq_le | hq1)
· interval_cases q <;> simp
exact (pow_dvd_pow_iff_le_right hq1).1 (h q)
#align nat.ord_proj_dvd_ord_proj_iff_dvd Nat.ord_proj_dvd_ord_proj_iff_dvd
theorem ord_compl_dvd_ord_compl_of_dvd {a b : ℕ} (hab : a ∣ b) (p : ℕ) :
ord_compl[p] a ∣ ord_compl[p] b := by
rcases em' p.Prime with (pp | pp)
· simp [pp, hab]
rcases eq_or_ne b 0 with (rfl | hb0)
· simp
rcases eq_or_ne a 0 with (rfl | ha0)
· cases hb0 (zero_dvd_iff.1 hab)
have ha := (Nat.div_pos (ord_proj_le p ha0) (ord_proj_pos a p)).ne'
have hb := (Nat.div_pos (ord_proj_le p hb0) (ord_proj_pos b p)).ne'
rw [← factorization_le_iff_dvd ha hb, factorization_ord_compl a p, factorization_ord_compl b p]
intro q
rcases eq_or_ne q p with (rfl | hqp)
· simp
simp_rw [erase_ne hqp]
exact (factorization_le_iff_dvd ha0 hb0).2 hab q
#align nat.ord_compl_dvd_ord_compl_of_dvd Nat.ord_compl_dvd_ord_compl_of_dvd
theorem ord_compl_dvd_ord_compl_iff_dvd (a b : ℕ) :
(∀ p : ℕ, ord_compl[p] a ∣ ord_compl[p] b) ↔ a ∣ b := by
refine ⟨fun h => ?_, fun hab p => ord_compl_dvd_ord_compl_of_dvd hab p⟩
rcases eq_or_ne b 0 with (rfl | hb0)
· simp
if pa : a.Prime then ?_ else simpa [pa] using h a
if pb : b.Prime then ?_ else simpa [pb] using h b
rw [prime_dvd_prime_iff_eq pa pb]
by_contra hab
apply pa.ne_one
rw [← Nat.dvd_one, ← Nat.mul_dvd_mul_iff_left hb0.bot_lt, mul_one]
simpa [Prime.factorization_self pb, Prime.factorization pa, hab] using h b
#align nat.ord_compl_dvd_ord_compl_iff_dvd Nat.ord_compl_dvd_ord_compl_iff_dvd
theorem dvd_iff_prime_pow_dvd_dvd (n d : ℕ) :
d ∣ n ↔ ∀ p k : ℕ, Prime p → p ^ k ∣ d → p ^ k ∣ n := by
rcases eq_or_ne n 0 with (rfl | hn)
· simp
rcases eq_or_ne d 0 with (rfl | hd)
· simp only [zero_dvd_iff, hn, false_iff_iff, not_forall]
exact ⟨2, n, prime_two, dvd_zero _, mt (le_of_dvd hn.bot_lt) (lt_two_pow n).not_le⟩
refine ⟨fun h p k _ hpkd => dvd_trans hpkd h, ?_⟩
rw [← factorization_prime_le_iff_dvd hd hn]
intro h p pp
simp_rw [← pp.pow_dvd_iff_le_factorization hn]
exact h p _ pp (ord_proj_dvd _ _)
#align nat.dvd_iff_prime_pow_dvd_dvd Nat.dvd_iff_prime_pow_dvd_dvd
theorem prod_primeFactors_dvd (n : ℕ) : ∏ p ∈ n.primeFactors, p ∣ n := by
by_cases hn : n = 0
· subst hn
simp
simpa [prod_factors hn] using Multiset.toFinset_prod_dvd_prod (n.factors : Multiset ℕ)
#align nat.prod_prime_factors_dvd Nat.prod_primeFactors_dvd
theorem factorization_gcd {a b : ℕ} (ha_pos : a ≠ 0) (hb_pos : b ≠ 0) :
(gcd a b).factorization = a.factorization ⊓ b.factorization := by
let dfac := a.factorization ⊓ b.factorization
let d := dfac.prod (· ^ ·)
have dfac_prime : ∀ p : ℕ, p ∈ dfac.support → Prime p := by
intro p hp
have : p ∈ a.factors ∧ p ∈ b.factors := by simpa [dfac] using hp
exact prime_of_mem_factors this.1
have h1 : d.factorization = dfac := prod_pow_factorization_eq_self dfac_prime
have hd_pos : d ≠ 0 := (factorizationEquiv.invFun ⟨dfac, dfac_prime⟩).2.ne'
suffices d = gcd a b by rwa [← this]
apply gcd_greatest
· rw [← factorization_le_iff_dvd hd_pos ha_pos, h1]
exact inf_le_left
· rw [← factorization_le_iff_dvd hd_pos hb_pos, h1]
exact inf_le_right
· intro e hea heb
rcases Decidable.eq_or_ne e 0 with (rfl | he_pos)
· simp only [zero_dvd_iff] at hea
contradiction
have hea' := (factorization_le_iff_dvd he_pos ha_pos).mpr hea
have heb' := (factorization_le_iff_dvd he_pos hb_pos).mpr heb
simp [dfac, ← factorization_le_iff_dvd he_pos hd_pos, h1, hea', heb']
#align nat.factorization_gcd Nat.factorization_gcd
theorem factorization_lcm {a b : ℕ} (ha : a ≠ 0) (hb : b ≠ 0) :
(a.lcm b).factorization = a.factorization ⊔ b.factorization := by
rw [← add_right_inj (a.gcd b).factorization, ←
factorization_mul (mt gcd_eq_zero_iff.1 fun h => ha h.1) (lcm_ne_zero ha hb), gcd_mul_lcm,
factorization_gcd ha hb, factorization_mul ha hb]
ext1
exact (min_add_max _ _).symm
#align nat.factorization_lcm Nat.factorization_lcm
def factorizationLCMLeft (a b : ℕ) : ℕ :=
(Nat.lcm a b).factorization.prod fun p n ↦
if b.factorization p ≤ a.factorization p then p ^ n else 1
def factorizationLCMRight (a b : ℕ) :=
(Nat.lcm a b).factorization.prod fun p n ↦
if b.factorization p ≤ a.factorization p then 1 else p ^ n
variable (a b)
@[simp]
lemma factorizationLCMLeft_zero_left : factorizationLCMLeft 0 b = 1 := by
simp [factorizationLCMLeft]
@[simp]
lemma factorizationLCMLeft_zero_right : factorizationLCMLeft a 0 = 1 := by
simp [factorizationLCMLeft]
@[simp]
lemma factorizationLCRight_zero_left : factorizationLCMRight 0 b = 1 := by
simp [factorizationLCMRight]
@[simp]
lemma factorizationLCMRight_zero_right : factorizationLCMRight a 0 = 1 := by
simp [factorizationLCMRight]
lemma factorizationLCMLeft_pos :
0 < factorizationLCMLeft a b := by
apply Nat.pos_of_ne_zero
rw [factorizationLCMLeft, Finsupp.prod_ne_zero_iff]
intro p _ H
by_cases h : b.factorization p ≤ a.factorization p
· simp only [h, reduceIte, pow_eq_zero_iff', ne_eq] at H
simpa [H.1] using H.2
· simp only [h, reduceIte, one_ne_zero] at H
lemma factorizationLCMRight_pos :
0 < factorizationLCMRight a b := by
apply Nat.pos_of_ne_zero
rw [factorizationLCMRight, Finsupp.prod_ne_zero_iff]
intro p _ H
by_cases h : b.factorization p ≤ a.factorization p
· simp only [h, reduceIte, pow_eq_zero_iff', ne_eq] at H
· simp only [h, ↓reduceIte, pow_eq_zero_iff', ne_eq] at H
simpa [H.1] using H.2
lemma coprime_factorizationLCMLeft_factorizationLCMRight :
(factorizationLCMLeft a b).Coprime (factorizationLCMRight a b) := by
rw [factorizationLCMLeft, factorizationLCMRight]
refine coprime_prod_left_iff.mpr fun p hp ↦ coprime_prod_right_iff.mpr fun q hq ↦ ?_
dsimp only; split_ifs with h h'
any_goals simp only [coprime_one_right_eq_true, coprime_one_left_eq_true]
refine coprime_pow_primes _ _ (prime_of_mem_primeFactors hp) (prime_of_mem_primeFactors hq) ?_
contrapose! h'; rwa [← h']
variable {a b}
lemma factorizationLCMLeft_mul_factorizationLCMRight (ha : a ≠ 0) (hb : b ≠ 0) :
(factorizationLCMLeft a b) * (factorizationLCMRight a b) = lcm a b := by
rw [← factorization_prod_pow_eq_self (lcm_ne_zero ha hb), factorizationLCMLeft,
factorizationLCMRight, ← prod_mul]
congr; ext p n; split_ifs <;> simp
variable (a b)
lemma factorizationLCMLeft_dvd_left : factorizationLCMLeft a b ∣ a := by
rcases eq_or_ne a 0 with rfl | ha
· simp only [dvd_zero]
rcases eq_or_ne b 0 with rfl | hb
· simp [factorizationLCMLeft]
nth_rewrite 2 [← factorization_prod_pow_eq_self ha]
rw [prod_of_support_subset (s := (lcm a b).factorization.support)]
· apply prod_dvd_prod_of_dvd; rintro p -; dsimp only; split_ifs with le
· rw [factorization_lcm ha hb]; apply pow_dvd_pow; exact sup_le le_rfl le
· apply one_dvd
· intro p hp; rw [mem_support_iff] at hp ⊢
rw [factorization_lcm ha hb]; exact (lt_sup_iff.mpr <| .inl <| Nat.pos_of_ne_zero hp).ne'
· intros; rw [pow_zero]
lemma factorizationLCMRight_dvd_right : factorizationLCMRight a b ∣ b := by
rcases eq_or_ne a 0 with rfl | ha
· simp [factorizationLCMRight]
rcases eq_or_ne b 0 with rfl | hb
· simp only [dvd_zero]
nth_rewrite 2 [← factorization_prod_pow_eq_self hb]
rw [prod_of_support_subset (s := (lcm a b).factorization.support)]
· apply Finset.prod_dvd_prod_of_dvd; rintro p -; dsimp only; split_ifs with le
· apply one_dvd
· rw [factorization_lcm ha hb]; apply pow_dvd_pow; exact sup_le (not_le.1 le).le le_rfl
· intro p hp; rw [mem_support_iff] at hp ⊢
rw [factorization_lcm ha hb]; exact (lt_sup_iff.mpr <| .inr <| Nat.pos_of_ne_zero hp).ne'
· intros; rw [pow_zero]
@[to_additive sum_primeFactors_gcd_add_sum_primeFactors_mul]
theorem prod_primeFactors_gcd_mul_prod_primeFactors_mul {β : Type*} [CommMonoid β] (m n : ℕ)
(f : ℕ → β) :
(m.gcd n).primeFactors.prod f * (m * n).primeFactors.prod f =
m.primeFactors.prod f * n.primeFactors.prod f := by
obtain rfl | hm₀ := eq_or_ne m 0
· simp
obtain rfl | hn₀ := eq_or_ne n 0
· simp
· rw [primeFactors_mul hm₀ hn₀, primeFactors_gcd hm₀ hn₀, mul_comm, Finset.prod_union_inter]
#align nat.prod_factors_gcd_mul_prod_factors_mul Nat.prod_primeFactors_gcd_mul_prod_primeFactors_mul
#align nat.sum_factors_gcd_add_sum_factors_mul Nat.sum_primeFactors_gcd_add_sum_primeFactors_mul
theorem setOf_pow_dvd_eq_Icc_factorization {n p : ℕ} (pp : p.Prime) (hn : n ≠ 0) :
{ i : ℕ | i ≠ 0 ∧ p ^ i ∣ n } = Set.Icc 1 (n.factorization p) := by
ext
simp [Nat.lt_succ_iff, one_le_iff_ne_zero, pp.pow_dvd_iff_le_factorization hn]
#align nat.set_of_pow_dvd_eq_Icc_factorization Nat.setOf_pow_dvd_eq_Icc_factorization
theorem Icc_factorization_eq_pow_dvd (n : ℕ) {p : ℕ} (pp : Prime p) :
Icc 1 (n.factorization p) = (Ico 1 n).filter fun i : ℕ => p ^ i ∣ n := by
rcases eq_or_ne n 0 with (rfl | hn)
· simp
ext x
simp only [mem_Icc, Finset.mem_filter, mem_Ico, and_assoc, and_congr_right_iff,
pp.pow_dvd_iff_le_factorization hn, iff_and_self]
exact fun _ H => lt_of_le_of_lt H (factorization_lt p hn)
#align nat.Icc_factorization_eq_pow_dvd Nat.Icc_factorization_eq_pow_dvd
theorem factorization_eq_card_pow_dvd (n : ℕ) {p : ℕ} (pp : p.Prime) :
n.factorization p = ((Ico 1 n).filter fun i => p ^ i ∣ n).card := by
simp [← Icc_factorization_eq_pow_dvd n pp]
#align nat.factorization_eq_card_pow_dvd Nat.factorization_eq_card_pow_dvd
theorem Ico_filter_pow_dvd_eq {n p b : ℕ} (pp : p.Prime) (hn : n ≠ 0) (hb : n ≤ p ^ b) :
((Ico 1 n).filter fun i => p ^ i ∣ n) = (Icc 1 b).filter fun i => p ^ i ∣ n := by
ext x
simp only [Finset.mem_filter, mem_Ico, mem_Icc, and_congr_left_iff, and_congr_right_iff]
rintro h1 -
exact iff_of_true (lt_of_pow_dvd_right hn pp.two_le h1) <|
(pow_le_pow_iff_right pp.one_lt).1 <| (le_of_dvd hn.bot_lt h1).trans hb
#align nat.Ico_filter_pow_dvd_eq Nat.Ico_filter_pow_dvd_eq
theorem factorization_mul_apply_of_coprime {p a b : ℕ} (hab : Coprime a b) :
(a * b).factorization p = a.factorization p + b.factorization p := by
simp only [← factors_count_eq, perm_iff_count.mp (perm_factors_mul_of_coprime hab), count_append]
#align nat.factorization_mul_apply_of_coprime Nat.factorization_mul_apply_of_coprime
theorem factorization_mul_of_coprime {a b : ℕ} (hab : Coprime a b) :
(a * b).factorization = a.factorization + b.factorization := by
ext q
rw [Finsupp.add_apply, factorization_mul_apply_of_coprime hab]
#align nat.factorization_mul_of_coprime Nat.factorization_mul_of_coprime
theorem factorization_eq_of_coprime_left {p a b : ℕ} (hab : Coprime a b) (hpa : p ∈ a.factors) :
(a * b).factorization p = a.factorization p := by
rw [factorization_mul_apply_of_coprime hab, ← factors_count_eq, ← factors_count_eq,
count_eq_zero_of_not_mem (coprime_factors_disjoint hab hpa), add_zero]
#align nat.factorization_eq_of_coprime_left Nat.factorization_eq_of_coprime_left
theorem factorization_eq_of_coprime_right {p a b : ℕ} (hab : Coprime a b) (hpb : p ∈ b.factors) :
(a * b).factorization p = b.factorization p := by
rw [mul_comm]
exact factorization_eq_of_coprime_left (coprime_comm.mp hab) hpb
#align nat.factorization_eq_of_coprime_right Nat.factorization_eq_of_coprime_right
#align nat.factorization_disjoint_of_coprime Nat.Coprime.disjoint_primeFactors
#align nat.factorization_mul_support_of_coprime Nat.primeFactors_mul
@[elab_as_elim]
def recOnPrimePow {P : ℕ → Sort*} (h0 : P 0) (h1 : P 1)
(h : ∀ a p n : ℕ, p.Prime → ¬p ∣ a → 0 < n → P a → P (p ^ n * a)) : ∀ a : ℕ, P a := fun a =>
Nat.strongRecOn a fun n =>
match n with
| 0 => fun _ => h0
| 1 => fun _ => h1
| k + 2 => fun hk => by
letI p := (k + 2).minFac
haveI hp : Prime p := minFac_prime (succ_succ_ne_one k)
letI t := (k + 2).factorization p
haveI hpt : p ^ t ∣ k + 2 := ord_proj_dvd _ _
haveI htp : 0 < t := hp.factorization_pos_of_dvd (k + 1).succ_ne_zero (k + 2).minFac_dvd
convert h ((k + 2) / p ^ t) p t hp _ htp (hk _ (Nat.div_lt_of_lt_mul _)) using 1
· rw [Nat.mul_div_cancel' hpt]
· rw [Nat.dvd_div_iff hpt, ← Nat.pow_succ]
exact pow_succ_factorization_not_dvd (k + 1).succ_ne_zero hp
· simp [lt_mul_iff_one_lt_left Nat.succ_pos', one_lt_pow_iff htp.ne', hp.one_lt]
#align nat.rec_on_prime_pow Nat.recOnPrimePow
@[elab_as_elim]
def recOnPosPrimePosCoprime {P : ℕ → Sort*} (hp : ∀ p n : ℕ, Prime p → 0 < n → P (p ^ n))
(h0 : P 0) (h1 : P 1) (h : ∀ a b, 1 < a → 1 < b → Coprime a b → P a → P b → P (a * b)) :
∀ a, P a :=
recOnPrimePow h0 h1 <| by
intro a p n hp' hpa hn hPa
by_cases ha1 : a = 1
· rw [ha1, mul_one]
exact hp p n hp' hn
refine h (p ^ n) a (hp'.one_lt.trans_le (le_self_pow hn.ne' _)) ?_ ?_ (hp _ _ hp' hn) hPa
· contrapose! hpa
simp [lt_one_iff.1 (lt_of_le_of_ne hpa ha1)]
· simpa [hn, Prime.coprime_iff_not_dvd hp']
#align nat.rec_on_pos_prime_pos_coprime Nat.recOnPosPrimePosCoprime
@[elab_as_elim]
def recOnPrimeCoprime {P : ℕ → Sort*} (h0 : P 0) (hp : ∀ p n : ℕ, Prime p → P (p ^ n))
(h : ∀ a b, 1 < a → 1 < b → Coprime a b → P a → P b → P (a * b)) : ∀ a, P a :=
recOnPosPrimePosCoprime (fun p n h _ => hp p n h) h0 (hp 2 0 prime_two) h
#align nat.rec_on_prime_coprime Nat.recOnPrimeCoprime
@[elab_as_elim]
def recOnMul {P : ℕ → Sort*} (h0 : P 0) (h1 : P 1) (hp : ∀ p, Prime p → P p)
(h : ∀ a b, P a → P b → P (a * b)) : ∀ a, P a :=
let rec
hp'' (p n : ℕ) (hp' : Prime p) : P (p ^ n) :=
match n with
| 0 => h1
| n + 1 => h _ _ (hp'' p n hp') (hp p hp')
recOnPrimeCoprime h0 hp'' fun a b _ _ _ => h a b
#align nat.rec_on_mul Nat.recOnMul
theorem multiplicative_factorization {β : Type*} [CommMonoid β] (f : ℕ → β)
(h_mult : ∀ x y : ℕ, Coprime x y → f (x * y) = f x * f y) (hf : f 1 = 1) :
∀ {n : ℕ}, n ≠ 0 → f n = n.factorization.prod fun p k => f (p ^ k) := by
apply Nat.recOnPosPrimePosCoprime
· rintro p k hp - -
-- Porting note: replaced `simp` with `rw`
rw [Prime.factorization_pow hp, Finsupp.prod_single_index _]
rwa [pow_zero]
· simp
· rintro -
rw [factorization_one, hf]
simp
· intro a b _ _ hab ha hb hab_pos
rw [h_mult a b hab, ha (left_ne_zero_of_mul hab_pos), hb (right_ne_zero_of_mul hab_pos),
factorization_mul_of_coprime hab, ← prod_add_index_of_disjoint]
exact hab.disjoint_primeFactors
#align nat.multiplicative_factorization Nat.multiplicative_factorization
theorem multiplicative_factorization' {β : Type*} [CommMonoid β] (f : ℕ → β)
(h_mult : ∀ x y : ℕ, Coprime x y → f (x * y) = f x * f y) (hf0 : f 0 = 1) (hf1 : f 1 = 1) :
f n = n.factorization.prod fun p k => f (p ^ k) := by
obtain rfl | hn := eq_or_ne n 0
· simpa
· exact multiplicative_factorization _ h_mult hf1 hn
#align nat.multiplicative_factorization' Nat.multiplicative_factorization'
| Mathlib/Data/Nat/Factorization/Basic.lean | 934 | 943 | theorem eq_iff_prime_padicValNat_eq (a b : ℕ) (ha : a ≠ 0) (hb : b ≠ 0) :
a = b ↔ ∀ p : ℕ, p.Prime → padicValNat p a = padicValNat p b := by |
constructor
· rintro rfl
simp
· intro h
refine eq_of_factorization_eq ha hb fun p => ?_
by_cases pp : p.Prime
· simp [factorization_def, pp, h p pp]
· simp [factorization_eq_zero_of_non_prime, pp]
|
import Mathlib.Algebra.Associated
import Mathlib.Algebra.BigOperators.Finsupp
#align_import algebra.big_operators.associated from "leanprover-community/mathlib"@"f7fc89d5d5ff1db2d1242c7bb0e9062ce47ef47c"
variable {α β γ δ : Type*}
-- the same local notation used in `Algebra.Associated`
local infixl:50 " ~ᵤ " => Associated
theorem Prod.associated_iff {M N : Type*} [Monoid M] [Monoid N] {x z : M × N} :
x ~ᵤ z ↔ x.1 ~ᵤ z.1 ∧ x.2 ~ᵤ z.2 :=
⟨fun ⟨u, hu⟩ => ⟨⟨(MulEquiv.prodUnits.toFun u).1, (Prod.eq_iff_fst_eq_snd_eq.1 hu).1⟩,
⟨(MulEquiv.prodUnits.toFun u).2, (Prod.eq_iff_fst_eq_snd_eq.1 hu).2⟩⟩,
fun ⟨⟨u₁, h₁⟩, ⟨u₂, h₂⟩⟩ =>
⟨MulEquiv.prodUnits.invFun (u₁, u₂), Prod.eq_iff_fst_eq_snd_eq.2 ⟨h₁, h₂⟩⟩⟩
theorem Associated.prod {M : Type*} [CommMonoid M] {ι : Type*} (s : Finset ι) (f : ι → M)
(g : ι → M) (h : ∀ i, i ∈ s → (f i) ~ᵤ (g i)) : (∏ i ∈ s, f i) ~ᵤ (∏ i ∈ s, g i) := by
induction s using Finset.induction with
| empty =>
simp only [Finset.prod_empty]
rfl
| @insert j s hjs IH =>
classical
convert_to (∏ i ∈ insert j s, f i) ~ᵤ (∏ i ∈ insert j s, g i)
rw [Finset.prod_insert hjs, Finset.prod_insert hjs]
exact Associated.mul_mul (h j (Finset.mem_insert_self j s))
(IH (fun i hi ↦ h i (Finset.mem_insert_of_mem hi)))
theorem exists_associated_mem_of_dvd_prod [CancelCommMonoidWithZero α] {p : α} (hp : Prime p)
{s : Multiset α} : (∀ r ∈ s, Prime r) → p ∣ s.prod → ∃ q ∈ s, p ~ᵤ q :=
Multiset.induction_on s (by simp [mt isUnit_iff_dvd_one.2 hp.not_unit]) fun a s ih hs hps => by
rw [Multiset.prod_cons] at hps
cases' hp.dvd_or_dvd hps with h h
· have hap := hs a (Multiset.mem_cons.2 (Or.inl rfl))
exact ⟨a, Multiset.mem_cons_self a _, hp.associated_of_dvd hap h⟩
· rcases ih (fun r hr => hs _ (Multiset.mem_cons.2 (Or.inr hr))) h with ⟨q, hq₁, hq₂⟩
exact ⟨q, Multiset.mem_cons.2 (Or.inr hq₁), hq₂⟩
#align exists_associated_mem_of_dvd_prod exists_associated_mem_of_dvd_prod
theorem Multiset.prod_primes_dvd [CancelCommMonoidWithZero α]
[∀ a : α, DecidablePred (Associated a)] {s : Multiset α} (n : α) (h : ∀ a ∈ s, Prime a)
(div : ∀ a ∈ s, a ∣ n) (uniq : ∀ a, s.countP (Associated a) ≤ 1) : s.prod ∣ n := by
induction' s using Multiset.induction_on with a s induct n primes divs generalizing n
· simp only [Multiset.prod_zero, one_dvd]
· rw [Multiset.prod_cons]
obtain ⟨k, rfl⟩ : a ∣ n := div a (Multiset.mem_cons_self a s)
apply mul_dvd_mul_left a
refine induct _ (fun a ha => h a (Multiset.mem_cons_of_mem ha)) (fun b b_in_s => ?_)
fun a => (Multiset.countP_le_of_le _ (Multiset.le_cons_self _ _)).trans (uniq a)
have b_div_n := div b (Multiset.mem_cons_of_mem b_in_s)
have a_prime := h a (Multiset.mem_cons_self a s)
have b_prime := h b (Multiset.mem_cons_of_mem b_in_s)
refine (b_prime.dvd_or_dvd b_div_n).resolve_left fun b_div_a => ?_
have assoc := b_prime.associated_of_dvd a_prime b_div_a
have := uniq a
rw [Multiset.countP_cons_of_pos _ (Associated.refl _), Nat.succ_le_succ_iff, ← not_lt,
Multiset.countP_pos] at this
exact this ⟨b, b_in_s, assoc.symm⟩
#align multiset.prod_primes_dvd Multiset.prod_primes_dvd
theorem Finset.prod_primes_dvd [CancelCommMonoidWithZero α] [Unique αˣ] {s : Finset α} (n : α)
(h : ∀ a ∈ s, Prime a) (div : ∀ a ∈ s, a ∣ n) : (∏ p ∈ s, p) ∣ n := by
classical
exact
Multiset.prod_primes_dvd n (by simpa only [Multiset.map_id', Finset.mem_def] using h)
(by simpa only [Multiset.map_id', Finset.mem_def] using div)
(by
simp only [Multiset.map_id', associated_eq_eq, Multiset.countP_eq_card_filter,
← s.val.count_eq_card_filter_eq, ← Multiset.nodup_iff_count_le_one, s.nodup])
#align finset.prod_primes_dvd Finset.prod_primes_dvd
namespace Associates
section CommMonoid
variable [CommMonoid α]
theorem prod_mk {p : Multiset α} : (p.map Associates.mk).prod = Associates.mk p.prod :=
Multiset.induction_on p (by simp) fun a s ih => by simp [ih, Associates.mk_mul_mk]
#align associates.prod_mk Associates.prod_mk
theorem finset_prod_mk {p : Finset β} {f : β → α} :
(∏ i ∈ p, Associates.mk (f i)) = Associates.mk (∏ i ∈ p, f i) := by
-- Porting note: added
have : (fun i => Associates.mk (f i)) = Associates.mk ∘ f :=
funext fun x => Function.comp_apply
rw [Finset.prod_eq_multiset_prod, this, ← Multiset.map_map, prod_mk,
← Finset.prod_eq_multiset_prod]
#align associates.finset_prod_mk Associates.finset_prod_mk
theorem rel_associated_iff_map_eq_map {p q : Multiset α} :
Multiset.Rel Associated p q ↔ p.map Associates.mk = q.map Associates.mk := by
rw [← Multiset.rel_eq, Multiset.rel_map]
simp only [mk_eq_mk_iff_associated]
#align associates.rel_associated_iff_map_eq_map Associates.rel_associated_iff_map_eq_map
theorem prod_eq_one_iff {p : Multiset (Associates α)} :
p.prod = 1 ↔ ∀ a ∈ p, (a : Associates α) = 1 :=
Multiset.induction_on p (by simp)
(by simp (config := { contextual := true }) [mul_eq_one_iff, or_imp, forall_and])
#align associates.prod_eq_one_iff Associates.prod_eq_one_iff
| Mathlib/Algebra/BigOperators/Associated.lean | 145 | 150 | theorem prod_le_prod {p q : Multiset (Associates α)} (h : p ≤ q) : p.prod ≤ q.prod := by |
haveI := Classical.decEq (Associates α)
haveI := Classical.decEq α
suffices p.prod ≤ (p + (q - p)).prod by rwa [add_tsub_cancel_of_le h] at this
suffices p.prod * 1 ≤ p.prod * (q - p).prod by simpa
exact mul_mono (le_refl p.prod) one_le
|
import Mathlib.AlgebraicGeometry.AffineScheme
import Mathlib.AlgebraicGeometry.Pullbacks
import Mathlib.CategoryTheory.MorphismProperty.Limits
import Mathlib.Data.List.TFAE
#align_import algebraic_geometry.morphisms.basic from "leanprover-community/mathlib"@"434e2fd21c1900747afc6d13d8be7f4eedba7218"
set_option linter.uppercaseLean3 false
universe u
open TopologicalSpace CategoryTheory CategoryTheory.Limits Opposite
noncomputable section
namespace AlgebraicGeometry
def AffineTargetMorphismProperty :=
∀ ⦃X Y : Scheme⦄ (_ : X ⟶ Y) [IsAffine Y], Prop
#align algebraic_geometry.affine_target_morphism_property AlgebraicGeometry.AffineTargetMorphismProperty
protected def Scheme.isIso : MorphismProperty Scheme :=
@IsIso Scheme _
#align algebraic_geometry.Scheme.is_iso AlgebraicGeometry.Scheme.isIso
protected def Scheme.affineTargetIsIso : AffineTargetMorphismProperty := fun _ _ f _ => IsIso f
#align algebraic_geometry.Scheme.affine_target_is_iso AlgebraicGeometry.Scheme.affineTargetIsIso
instance : Inhabited AffineTargetMorphismProperty := ⟨Scheme.affineTargetIsIso⟩
def AffineTargetMorphismProperty.toProperty (P : AffineTargetMorphismProperty) :
MorphismProperty Scheme := fun _ _ f => ∃ h, @P _ _ f h
#align algebraic_geometry.affine_target_morphism_property.to_property AlgebraicGeometry.AffineTargetMorphismProperty.toProperty
theorem AffineTargetMorphismProperty.toProperty_apply (P : AffineTargetMorphismProperty)
{X Y : Scheme} (f : X ⟶ Y) [i : IsAffine Y] : P.toProperty f ↔ P f := by
delta AffineTargetMorphismProperty.toProperty; simp [*]
#align algebraic_geometry.affine_target_morphism_property.to_property_apply AlgebraicGeometry.AffineTargetMorphismProperty.toProperty_apply
theorem affine_cancel_left_isIso {P : AffineTargetMorphismProperty} (hP : P.toProperty.RespectsIso)
{X Y Z : Scheme} (f : X ⟶ Y) (g : Y ⟶ Z) [IsIso f] [IsAffine Z] : P (f ≫ g) ↔ P g := by
rw [← P.toProperty_apply, ← P.toProperty_apply, hP.cancel_left_isIso]
#align algebraic_geometry.affine_cancel_left_is_iso AlgebraicGeometry.affine_cancel_left_isIso
theorem affine_cancel_right_isIso {P : AffineTargetMorphismProperty} (hP : P.toProperty.RespectsIso)
{X Y Z : Scheme} (f : X ⟶ Y) (g : Y ⟶ Z) [IsIso g] [IsAffine Z] [IsAffine Y] :
P (f ≫ g) ↔ P f := by rw [← P.toProperty_apply, ← P.toProperty_apply, hP.cancel_right_isIso]
#align algebraic_geometry.affine_cancel_right_is_iso AlgebraicGeometry.affine_cancel_right_isIso
theorem AffineTargetMorphismProperty.respectsIso_mk {P : AffineTargetMorphismProperty}
(h₁ : ∀ {X Y Z} (e : X ≅ Y) (f : Y ⟶ Z) [IsAffine Z], P f → P (e.hom ≫ f))
(h₂ : ∀ {X Y Z} (e : Y ≅ Z) (f : X ⟶ Y) [h : IsAffine Y],
P f → @P _ _ (f ≫ e.hom) (isAffineOfIso e.inv)) :
P.toProperty.RespectsIso := by
constructor
· rintro X Y Z e f ⟨a, h⟩; exact ⟨a, h₁ e f h⟩
· rintro X Y Z e f ⟨a, h⟩; exact ⟨isAffineOfIso e.inv, h₂ e f h⟩
#align algebraic_geometry.affine_target_morphism_property.respects_iso_mk AlgebraicGeometry.AffineTargetMorphismProperty.respectsIso_mk
def targetAffineLocally (P : AffineTargetMorphismProperty) : MorphismProperty Scheme :=
fun {X Y : Scheme} (f : X ⟶ Y) => ∀ U : Y.affineOpens, @P _ _ (f ∣_ U) U.prop
#align algebraic_geometry.target_affine_locally AlgebraicGeometry.targetAffineLocally
theorem IsAffineOpen.map_isIso {X Y : Scheme} {U : Opens Y.carrier} (hU : IsAffineOpen U)
(f : X ⟶ Y) [IsIso f] : IsAffineOpen ((Opens.map f.1.base).obj U) :=
haveI : IsAffine _ := hU
isAffineOfIso (f ∣_ U)
#align algebraic_geometry.is_affine_open.map_is_iso AlgebraicGeometry.IsAffineOpen.map_isIso
theorem targetAffineLocally_respectsIso {P : AffineTargetMorphismProperty}
(hP : P.toProperty.RespectsIso) : (targetAffineLocally P).RespectsIso := by
constructor
· introv H U
rw [morphismRestrict_comp, affine_cancel_left_isIso hP]
exact H U
· introv H
rintro ⟨U, hU : IsAffineOpen U⟩; dsimp
haveI : IsAffine _ := hU.map_isIso e.hom
rw [morphismRestrict_comp, affine_cancel_right_isIso hP]
exact H ⟨(Opens.map e.hom.val.base).obj U, hU.map_isIso e.hom⟩
#align algebraic_geometry.target_affine_locally_respects_iso AlgebraicGeometry.targetAffineLocally_respectsIso
structure AffineTargetMorphismProperty.IsLocal (P : AffineTargetMorphismProperty) : Prop where
RespectsIso : P.toProperty.RespectsIso
toBasicOpen :
∀ {X Y : Scheme} [IsAffine Y] (f : X ⟶ Y) (r : Y.presheaf.obj <| op ⊤),
P f → @P _ _ (f ∣_ Y.basicOpen r) ((topIsAffineOpen Y).basicOpenIsAffine _)
ofBasicOpenCover :
∀ {X Y : Scheme} [IsAffine Y] (f : X ⟶ Y) (s : Finset (Y.presheaf.obj <| op ⊤))
(_ : Ideal.span (s : Set (Y.presheaf.obj <| op ⊤)) = ⊤),
(∀ r : s, @P _ _ (f ∣_ Y.basicOpen r.1) ((topIsAffineOpen Y).basicOpenIsAffine _)) → P f
#align algebraic_geometry.affine_target_morphism_property.is_local AlgebraicGeometry.AffineTargetMorphismProperty.IsLocal
@[local simp] lemma CommRingCat.id_apply (R : CommRingCat) (x : R) : 𝟙 R x = x := rfl
theorem targetAffineLocallyOfOpenCover {P : AffineTargetMorphismProperty} (hP : P.IsLocal)
{X Y : Scheme} (f : X ⟶ Y) (𝒰 : Y.OpenCover) [∀ i, IsAffine (𝒰.obj i)]
(h𝒰 : ∀ i, P (pullback.snd : (𝒰.pullbackCover f).obj i ⟶ 𝒰.obj i)) :
targetAffineLocally P f := by
classical
let S i := (⟨⟨Set.range (𝒰.map i).1.base, (𝒰.IsOpen i).base_open.isOpen_range⟩,
rangeIsAffineOpenOfOpenImmersion (𝒰.map i)⟩ : Y.affineOpens)
intro U
apply of_affine_open_cover (P := _) U (Set.range S)
· intro U r h
haveI : IsAffine _ := U.2
have := hP.2 (f ∣_ U.1)
replace this := this (Y.presheaf.map (eqToHom U.1.openEmbedding_obj_top).op r) h
rw [← P.toProperty_apply] at this ⊢
exact (hP.1.arrow_mk_iso_iff (morphismRestrictRestrictBasicOpen f _ r)).mp this
· intro U s hs H
haveI : IsAffine _ := U.2
apply hP.3 (f ∣_ U.1) (s.image (Y.presheaf.map (eqToHom U.1.openEmbedding_obj_top).op))
· apply_fun Ideal.comap (Y.presheaf.map (eqToHom U.1.openEmbedding_obj_top.symm).op) at hs
rw [Ideal.comap_top] at hs
rw [← hs]
simp only [eqToHom_op, eqToHom_map, Finset.coe_image]
have : ∀ {R S : CommRingCat} (e : S = R) (s : Set S),
Ideal.span (eqToHom e '' s) = Ideal.comap (eqToHom e.symm) (Ideal.span s) := by
intro _ S e _
subst e
simp only [eqToHom_refl, CommRingCat.id_apply, Set.image_id']
-- Porting note: Lean didn't see `𝟙 _` is just ring hom id
exact (Ideal.comap_id _).symm
apply this
· rintro ⟨r, hr⟩
obtain ⟨r, hr', rfl⟩ := Finset.mem_image.mp hr
specialize H ⟨r, hr'⟩
rw [← P.toProperty_apply] at H ⊢
exact (hP.1.arrow_mk_iso_iff (morphismRestrictRestrictBasicOpen f _ r)).mpr H
· rw [Set.eq_univ_iff_forall]
simp only [Set.mem_iUnion]
intro x
exact ⟨⟨_, ⟨𝒰.f x, rfl⟩⟩, 𝒰.Covers x⟩
· rintro ⟨_, i, rfl⟩
specialize h𝒰 i
rw [← P.toProperty_apply] at h𝒰 ⊢
exact (hP.1.arrow_mk_iso_iff (morphismRestrictOpensRange f _)).mpr h𝒰
#align algebraic_geometry.target_affine_locally_of_open_cover AlgebraicGeometry.targetAffineLocallyOfOpenCover
open List in
theorem AffineTargetMorphismProperty.IsLocal.affine_openCover_TFAE
{P : AffineTargetMorphismProperty} (hP : P.IsLocal) {X Y : Scheme.{u}} (f : X ⟶ Y) :
TFAE
[targetAffineLocally P f,
∃ (𝒰 : Scheme.OpenCover.{u} Y) (_ : ∀ i, IsAffine (𝒰.obj i)),
∀ i : 𝒰.J, P (pullback.snd : (𝒰.pullbackCover f).obj i ⟶ 𝒰.obj i),
∀ (𝒰 : Scheme.OpenCover.{u} Y) [∀ i, IsAffine (𝒰.obj i)] (i : 𝒰.J),
P (pullback.snd : (𝒰.pullbackCover f).obj i ⟶ 𝒰.obj i),
∀ {U : Scheme} (g : U ⟶ Y) [IsAffine U] [IsOpenImmersion g],
P (pullback.snd : pullback f g ⟶ U),
∃ (ι : Type u) (U : ι → Opens Y.carrier) (_ : iSup U = ⊤) (hU' : ∀ i, IsAffineOpen (U i)),
∀ i, @P _ _ (f ∣_ U i) (hU' i)] := by
tfae_have 1 → 4
· intro H U g h₁ h₂
replace H := H ⟨⟨_, h₂.base_open.isOpen_range⟩, rangeIsAffineOpenOfOpenImmersion g⟩
rw [← P.toProperty_apply] at H ⊢
rwa [← hP.1.arrow_mk_iso_iff (morphismRestrictOpensRange f _)]
tfae_have 4 → 3
· intro H 𝒰 h𝒰 i
apply H
tfae_have 3 → 2
· exact fun H => ⟨Y.affineCover, inferInstance, H Y.affineCover⟩
tfae_have 2 → 1
· rintro ⟨𝒰, h𝒰, H⟩; exact targetAffineLocallyOfOpenCover hP f 𝒰 H
tfae_have 5 → 2
· rintro ⟨ι, U, hU, hU', H⟩
refine ⟨Y.openCoverOfSuprEqTop U hU, hU', ?_⟩
intro i
specialize H i
rw [← P.toProperty_apply, ← hP.1.arrow_mk_iso_iff (morphismRestrictOpensRange f _)]
rw [← P.toProperty_apply] at H
convert H
all_goals ext1; exact Subtype.range_coe
tfae_have 1 → 5
· intro H
refine ⟨Y.carrier, fun x => (Scheme.Hom.opensRange <| Y.affineCover.map x),
?_, fun i => rangeIsAffineOpenOfOpenImmersion _, ?_⟩
· rw [eq_top_iff]; intro x _; erw [Opens.mem_iSup]; exact ⟨x, Y.affineCover.Covers x⟩
· intro i; exact H ⟨_, rangeIsAffineOpenOfOpenImmersion _⟩
tfae_finish
#align algebraic_geometry.affine_target_morphism_property.is_local.affine_open_cover_tfae AlgebraicGeometry.AffineTargetMorphismProperty.IsLocal.affine_openCover_TFAE
theorem AffineTargetMorphismProperty.isLocalOfOpenCoverImply (P : AffineTargetMorphismProperty)
(hP : P.toProperty.RespectsIso)
(H : ∀ {X Y : Scheme.{u}} (f : X ⟶ Y),
(∃ (𝒰 : Scheme.OpenCover.{u} Y) (_ : ∀ i, IsAffine (𝒰.obj i)),
∀ i : 𝒰.J, P (pullback.snd : (𝒰.pullbackCover f).obj i ⟶ 𝒰.obj i)) →
∀ {U : Scheme} (g : U ⟶ Y) [IsAffine U] [IsOpenImmersion g],
P (pullback.snd : pullback f g ⟶ U)) :
P.IsLocal := by
refine ⟨hP, ?_, ?_⟩
· introv h
haveI : IsAffine _ := (topIsAffineOpen Y).basicOpenIsAffine r
delta morphismRestrict
rw [affine_cancel_left_isIso hP]
refine @H _ _ f ⟨Scheme.openCoverOfIsIso (𝟙 Y), ?_, ?_⟩ _ (Y.ofRestrict _) _ _
· intro i; dsimp; infer_instance
· intro i; dsimp
rwa [← Category.comp_id pullback.snd, ← pullback.condition, affine_cancel_left_isIso hP]
· introv hs hs'
replace hs := ((topIsAffineOpen Y).basicOpen_union_eq_self_iff _).mpr hs
have := H f ⟨Y.openCoverOfSuprEqTop _ hs, ?_, ?_⟩ (𝟙 _)
· rwa [← Category.comp_id pullback.snd, ← pullback.condition, affine_cancel_left_isIso hP]
at this
· intro i; exact (topIsAffineOpen Y).basicOpenIsAffine _
· rintro (i : s)
specialize hs' i
haveI : IsAffine _ := (topIsAffineOpen Y).basicOpenIsAffine i.1
delta morphismRestrict at hs'
rwa [affine_cancel_left_isIso hP] at hs'
#align algebraic_geometry.affine_target_morphism_property.is_local_of_open_cover_imply AlgebraicGeometry.AffineTargetMorphismProperty.isLocalOfOpenCoverImply
theorem AffineTargetMorphismProperty.IsLocal.affine_openCover_iff {P : AffineTargetMorphismProperty}
(hP : P.IsLocal) {X Y : Scheme.{u}} (f : X ⟶ Y) (𝒰 : Scheme.OpenCover.{u} Y)
[h𝒰 : ∀ i, IsAffine (𝒰.obj i)] :
targetAffineLocally P f ↔ ∀ i, @P _ _ (pullback.snd : pullback f (𝒰.map i) ⟶ _) (h𝒰 i) := by
refine ⟨fun H => let h := ((hP.affine_openCover_TFAE f).out 0 2).mp H; ?_,
fun H => let h := ((hP.affine_openCover_TFAE f).out 1 0).mp; ?_⟩
· exact fun i => h 𝒰 i
· exact h ⟨𝒰, inferInstance, H⟩
#align algebraic_geometry.affine_target_morphism_property.is_local.affine_open_cover_iff AlgebraicGeometry.AffineTargetMorphismProperty.IsLocal.affine_openCover_iff
theorem AffineTargetMorphismProperty.IsLocal.affine_target_iff {P : AffineTargetMorphismProperty}
(hP : P.IsLocal) {X Y : Scheme.{u}} (f : X ⟶ Y) [IsAffine Y] :
targetAffineLocally P f ↔ P f := by
haveI : ∀ i, IsAffine (Scheme.OpenCover.obj (Scheme.openCoverOfIsIso (𝟙 Y)) i) := fun i => by
dsimp; infer_instance
rw [hP.affine_openCover_iff f (Scheme.openCoverOfIsIso (𝟙 Y))]
trans P (pullback.snd : pullback f (𝟙 _) ⟶ _)
· exact ⟨fun H => H PUnit.unit, fun H _ => H⟩
rw [← Category.comp_id pullback.snd, ← pullback.condition, affine_cancel_left_isIso hP.1]
#align algebraic_geometry.affine_target_morphism_property.is_local.affine_target_iff AlgebraicGeometry.AffineTargetMorphismProperty.IsLocal.affine_target_iff
structure PropertyIsLocalAtTarget (P : MorphismProperty Scheme) : Prop where
RespectsIso : P.RespectsIso
restrict : ∀ {X Y : Scheme} (f : X ⟶ Y) (U : Opens Y.carrier), P f → P (f ∣_ U)
of_openCover :
∀ {X Y : Scheme.{u}} (f : X ⟶ Y) (𝒰 : Scheme.OpenCover.{u} Y),
(∀ i : 𝒰.J, P (pullback.snd : (𝒰.pullbackCover f).obj i ⟶ 𝒰.obj i)) → P f
#align algebraic_geometry.property_is_local_at_target AlgebraicGeometry.PropertyIsLocalAtTarget
lemma propertyIsLocalAtTarget_of_morphismRestrict (P : MorphismProperty Scheme)
(hP₁ : P.RespectsIso)
(hP₂ : ∀ {X Y : Scheme.{u}} (f : X ⟶ Y) (U : Opens Y.carrier), P f → P (f ∣_ U))
(hP₃ : ∀ {X Y : Scheme.{u}} (f : X ⟶ Y) {ι : Type u} (U : ι → Opens Y.carrier)
(_ : iSup U = ⊤), (∀ i, P (f ∣_ U i)) → P f) :
PropertyIsLocalAtTarget P where
RespectsIso := hP₁
restrict := hP₂
of_openCover {X Y} f 𝒰 h𝒰 := by
apply hP₃ f (fun i : 𝒰.J => Scheme.Hom.opensRange (𝒰.map i)) 𝒰.iSup_opensRange
simp_rw [hP₁.arrow_mk_iso_iff (morphismRestrictOpensRange f _)]
exact h𝒰
theorem AffineTargetMorphismProperty.IsLocal.targetAffineLocallyIsLocal
{P : AffineTargetMorphismProperty} (hP : P.IsLocal) :
PropertyIsLocalAtTarget (targetAffineLocally P) := by
constructor
· exact targetAffineLocally_respectsIso hP.1
· intro X Y f U H V
rw [← P.toProperty_apply (i := V.2), hP.1.arrow_mk_iso_iff (morphismRestrictRestrict f _ _)]
convert H ⟨_, IsAffineOpen.imageIsOpenImmersion V.2 (Y.ofRestrict _)⟩
rw [← P.toProperty_apply]
· rintro X Y f 𝒰 h𝒰
-- Porting note: rewrite `[(hP.affine_openCover_TFAE f).out 0 1` directly complains about
-- metavariables
have h01 := (hP.affine_openCover_TFAE f).out 0 1
rw [h01]
refine ⟨𝒰.bind fun _ => Scheme.affineCover _, ?_, ?_⟩
· intro i; dsimp [Scheme.OpenCover.bind]; infer_instance
· intro i
specialize h𝒰 i.1
-- Porting note: rewrite `[(hP.affine_openCover_TFAE pullback.snd).out 0 1` directly
-- complains about metavariables
have h02 := (hP.affine_openCover_TFAE (pullback.snd : pullback f (𝒰.map i.fst) ⟶ _)).out 0 2
rw [h02] at h𝒰
specialize h𝒰 (Scheme.affineCover _) i.2
let e : pullback f ((𝒰.obj i.fst).affineCover.map i.snd ≫ 𝒰.map i.fst) ⟶
pullback (pullback.snd : pullback f (𝒰.map i.fst) ⟶ _)
((𝒰.obj i.fst).affineCover.map i.snd) := by
refine (pullbackSymmetry _ _).hom ≫ ?_
refine (pullbackRightPullbackFstIso _ _ _).inv ≫ ?_
refine (pullbackSymmetry _ _).hom ≫ ?_
refine pullback.map _ _ _ _ (pullbackSymmetry _ _).hom (𝟙 _) (𝟙 _) ?_ ?_ <;>
simp only [Category.comp_id, Category.id_comp, pullbackSymmetry_hom_comp_snd]
rw [← affine_cancel_left_isIso hP.1 e] at h𝒰
convert h𝒰 using 1
simp [e]
#align algebraic_geometry.affine_target_morphism_property.is_local.target_affine_locally_is_local AlgebraicGeometry.AffineTargetMorphismProperty.IsLocal.targetAffineLocallyIsLocal
open List in
theorem PropertyIsLocalAtTarget.openCover_TFAE {P : MorphismProperty Scheme}
(hP : PropertyIsLocalAtTarget P) {X Y : Scheme.{u}} (f : X ⟶ Y) :
TFAE
[P f,
∃ 𝒰 : Scheme.OpenCover.{u} Y,
∀ i : 𝒰.J, P (pullback.snd : (𝒰.pullbackCover f).obj i ⟶ 𝒰.obj i),
∀ (𝒰 : Scheme.OpenCover.{u} Y) (i : 𝒰.J),
P (pullback.snd : (𝒰.pullbackCover f).obj i ⟶ 𝒰.obj i),
∀ U : Opens Y.carrier, P (f ∣_ U),
∀ {U : Scheme} (g : U ⟶ Y) [IsOpenImmersion g], P (pullback.snd : pullback f g ⟶ U),
∃ (ι : Type u) (U : ι → Opens Y.carrier) (_ : iSup U = ⊤), ∀ i, P (f ∣_ U i)] := by
tfae_have 2 → 1
· rintro ⟨𝒰, H⟩; exact hP.3 f 𝒰 H
tfae_have 1 → 4
· intro H U; exact hP.2 f U H
tfae_have 4 → 3
· intro H 𝒰 i
rw [← hP.1.arrow_mk_iso_iff (morphismRestrictOpensRange f _)]
exact H <| Scheme.Hom.opensRange (𝒰.map i)
tfae_have 3 → 2
· exact fun H => ⟨Y.affineCover, H Y.affineCover⟩
tfae_have 4 → 5
· intro H U g hg
rw [← hP.1.arrow_mk_iso_iff (morphismRestrictOpensRange f _)]
apply H
tfae_have 5 → 4
· intro H U
erw [hP.1.cancel_left_isIso]
apply H
tfae_have 4 → 6
· intro H; exact ⟨PUnit, fun _ => ⊤, ciSup_const, fun _ => H _⟩
tfae_have 6 → 2
· rintro ⟨ι, U, hU, H⟩
refine ⟨Y.openCoverOfSuprEqTop U hU, ?_⟩
intro i
rw [← hP.1.arrow_mk_iso_iff (morphismRestrictOpensRange f _)]
convert H i
all_goals ext1; exact Subtype.range_coe
tfae_finish
#align algebraic_geometry.property_is_local_at_target.open_cover_tfae AlgebraicGeometry.PropertyIsLocalAtTarget.openCover_TFAE
theorem PropertyIsLocalAtTarget.openCover_iff {P : MorphismProperty Scheme}
(hP : PropertyIsLocalAtTarget P) {X Y : Scheme.{u}} (f : X ⟶ Y) (𝒰 : Scheme.OpenCover.{u} Y) :
P f ↔ ∀ i, P (pullback.snd : pullback f (𝒰.map i) ⟶ _) := by
-- Porting note: couldn't get the term mode proof work
refine ⟨fun H => let h := ((hP.openCover_TFAE f).out 0 2).mp H; fun i => ?_,
fun H => let h := ((hP.openCover_TFAE f).out 1 0).mp; ?_⟩
· exact h 𝒰 i
· exact h ⟨𝒰, H⟩
#align algebraic_geometry.property_is_local_at_target.open_cover_iff AlgebraicGeometry.PropertyIsLocalAtTarget.openCover_iff
def AffineTargetMorphismProperty.diagonal (P : AffineTargetMorphismProperty) :
AffineTargetMorphismProperty :=
fun {X _} f _ =>
∀ {U₁ U₂ : Scheme} (f₁ : U₁ ⟶ X) (f₂ : U₂ ⟶ X) [IsAffine U₁] [IsAffine U₂] [IsOpenImmersion f₁]
[IsOpenImmersion f₂], P (pullback.mapDesc f₁ f₂ f)
#align algebraic_geometry.affine_target_morphism_property.diagonal AlgebraicGeometry.AffineTargetMorphismProperty.diagonal
| Mathlib/AlgebraicGeometry/Morphisms/Basic.lean | 490 | 504 | theorem AffineTargetMorphismProperty.diagonal_respectsIso (P : AffineTargetMorphismProperty)
(hP : P.toProperty.RespectsIso) : P.diagonal.toProperty.RespectsIso := by |
delta AffineTargetMorphismProperty.diagonal
apply AffineTargetMorphismProperty.respectsIso_mk
· introv H _ _
rw [pullback.mapDesc_comp, affine_cancel_left_isIso hP, affine_cancel_right_isIso hP]
-- Porting note: add the following two instances
have i1 : IsOpenImmersion (f₁ ≫ e.hom) := PresheafedSpace.IsOpenImmersion.comp _ _
have i2 : IsOpenImmersion (f₂ ≫ e.hom) := PresheafedSpace.IsOpenImmersion.comp _ _
apply H
· introv H _ _
-- Porting note: add the following two instances
have _ : IsAffine Z := isAffineOfIso e.inv
rw [pullback.mapDesc_comp, affine_cancel_right_isIso hP]
apply H
|
import Mathlib.Order.Cover
import Mathlib.Order.Interval.Finset.Defs
#align_import data.finset.locally_finite from "leanprover-community/mathlib"@"442a83d738cb208d3600056c489be16900ba701d"
assert_not_exists MonoidWithZero
assert_not_exists Finset.sum
open Function OrderDual
open FinsetInterval
variable {ι α : Type*}
namespace Finset
section Preorder
variable [Preorder α]
section LocallyFiniteOrder
variable [LocallyFiniteOrder α] {a a₁ a₂ b b₁ b₂ c x : α}
@[simp, aesop safe apply (rule_sets := [finsetNonempty])]
theorem nonempty_Icc : (Icc a b).Nonempty ↔ a ≤ b := by
rw [← coe_nonempty, coe_Icc, Set.nonempty_Icc]
#align finset.nonempty_Icc Finset.nonempty_Icc
@[simp, aesop safe apply (rule_sets := [finsetNonempty])]
theorem nonempty_Ico : (Ico a b).Nonempty ↔ a < b := by
rw [← coe_nonempty, coe_Ico, Set.nonempty_Ico]
#align finset.nonempty_Ico Finset.nonempty_Ico
@[simp, aesop safe apply (rule_sets := [finsetNonempty])]
theorem nonempty_Ioc : (Ioc a b).Nonempty ↔ a < b := by
rw [← coe_nonempty, coe_Ioc, Set.nonempty_Ioc]
#align finset.nonempty_Ioc Finset.nonempty_Ioc
-- TODO: This is nonsense. A locally finite order is never densely ordered
@[simp]
theorem nonempty_Ioo [DenselyOrdered α] : (Ioo a b).Nonempty ↔ a < b := by
rw [← coe_nonempty, coe_Ioo, Set.nonempty_Ioo]
#align finset.nonempty_Ioo Finset.nonempty_Ioo
@[simp]
theorem Icc_eq_empty_iff : Icc a b = ∅ ↔ ¬a ≤ b := by
rw [← coe_eq_empty, coe_Icc, Set.Icc_eq_empty_iff]
#align finset.Icc_eq_empty_iff Finset.Icc_eq_empty_iff
@[simp]
theorem Ico_eq_empty_iff : Ico a b = ∅ ↔ ¬a < b := by
rw [← coe_eq_empty, coe_Ico, Set.Ico_eq_empty_iff]
#align finset.Ico_eq_empty_iff Finset.Ico_eq_empty_iff
@[simp]
theorem Ioc_eq_empty_iff : Ioc a b = ∅ ↔ ¬a < b := by
rw [← coe_eq_empty, coe_Ioc, Set.Ioc_eq_empty_iff]
#align finset.Ioc_eq_empty_iff Finset.Ioc_eq_empty_iff
-- TODO: This is nonsense. A locally finite order is never densely ordered
@[simp]
theorem Ioo_eq_empty_iff [DenselyOrdered α] : Ioo a b = ∅ ↔ ¬a < b := by
rw [← coe_eq_empty, coe_Ioo, Set.Ioo_eq_empty_iff]
#align finset.Ioo_eq_empty_iff Finset.Ioo_eq_empty_iff
alias ⟨_, Icc_eq_empty⟩ := Icc_eq_empty_iff
#align finset.Icc_eq_empty Finset.Icc_eq_empty
alias ⟨_, Ico_eq_empty⟩ := Ico_eq_empty_iff
#align finset.Ico_eq_empty Finset.Ico_eq_empty
alias ⟨_, Ioc_eq_empty⟩ := Ioc_eq_empty_iff
#align finset.Ioc_eq_empty Finset.Ioc_eq_empty
@[simp]
theorem Ioo_eq_empty (h : ¬a < b) : Ioo a b = ∅ :=
eq_empty_iff_forall_not_mem.2 fun _ hx => h ((mem_Ioo.1 hx).1.trans (mem_Ioo.1 hx).2)
#align finset.Ioo_eq_empty Finset.Ioo_eq_empty
@[simp]
theorem Icc_eq_empty_of_lt (h : b < a) : Icc a b = ∅ :=
Icc_eq_empty h.not_le
#align finset.Icc_eq_empty_of_lt Finset.Icc_eq_empty_of_lt
@[simp]
theorem Ico_eq_empty_of_le (h : b ≤ a) : Ico a b = ∅ :=
Ico_eq_empty h.not_lt
#align finset.Ico_eq_empty_of_le Finset.Ico_eq_empty_of_le
@[simp]
theorem Ioc_eq_empty_of_le (h : b ≤ a) : Ioc a b = ∅ :=
Ioc_eq_empty h.not_lt
#align finset.Ioc_eq_empty_of_le Finset.Ioc_eq_empty_of_le
@[simp]
theorem Ioo_eq_empty_of_le (h : b ≤ a) : Ioo a b = ∅ :=
Ioo_eq_empty h.not_lt
#align finset.Ioo_eq_empty_of_le Finset.Ioo_eq_empty_of_le
-- porting note (#10618): simp can prove this
-- @[simp]
theorem left_mem_Icc : a ∈ Icc a b ↔ a ≤ b := by simp only [mem_Icc, true_and_iff, le_rfl]
#align finset.left_mem_Icc Finset.left_mem_Icc
-- porting note (#10618): simp can prove this
-- @[simp]
theorem left_mem_Ico : a ∈ Ico a b ↔ a < b := by simp only [mem_Ico, true_and_iff, le_refl]
#align finset.left_mem_Ico Finset.left_mem_Ico
-- porting note (#10618): simp can prove this
-- @[simp]
theorem right_mem_Icc : b ∈ Icc a b ↔ a ≤ b := by simp only [mem_Icc, and_true_iff, le_rfl]
#align finset.right_mem_Icc Finset.right_mem_Icc
-- porting note (#10618): simp can prove this
-- @[simp]
theorem right_mem_Ioc : b ∈ Ioc a b ↔ a < b := by simp only [mem_Ioc, and_true_iff, le_rfl]
#align finset.right_mem_Ioc Finset.right_mem_Ioc
-- porting note (#10618): simp can prove this
-- @[simp]
theorem left_not_mem_Ioc : a ∉ Ioc a b := fun h => lt_irrefl _ (mem_Ioc.1 h).1
#align finset.left_not_mem_Ioc Finset.left_not_mem_Ioc
-- porting note (#10618): simp can prove this
-- @[simp]
theorem left_not_mem_Ioo : a ∉ Ioo a b := fun h => lt_irrefl _ (mem_Ioo.1 h).1
#align finset.left_not_mem_Ioo Finset.left_not_mem_Ioo
-- porting note (#10618): simp can prove this
-- @[simp]
theorem right_not_mem_Ico : b ∉ Ico a b := fun h => lt_irrefl _ (mem_Ico.1 h).2
#align finset.right_not_mem_Ico Finset.right_not_mem_Ico
-- porting note (#10618): simp can prove this
-- @[simp]
theorem right_not_mem_Ioo : b ∉ Ioo a b := fun h => lt_irrefl _ (mem_Ioo.1 h).2
#align finset.right_not_mem_Ioo Finset.right_not_mem_Ioo
theorem Icc_subset_Icc (ha : a₂ ≤ a₁) (hb : b₁ ≤ b₂) : Icc a₁ b₁ ⊆ Icc a₂ b₂ := by
simpa [← coe_subset] using Set.Icc_subset_Icc ha hb
#align finset.Icc_subset_Icc Finset.Icc_subset_Icc
theorem Ico_subset_Ico (ha : a₂ ≤ a₁) (hb : b₁ ≤ b₂) : Ico a₁ b₁ ⊆ Ico a₂ b₂ := by
simpa [← coe_subset] using Set.Ico_subset_Ico ha hb
#align finset.Ico_subset_Ico Finset.Ico_subset_Ico
theorem Ioc_subset_Ioc (ha : a₂ ≤ a₁) (hb : b₁ ≤ b₂) : Ioc a₁ b₁ ⊆ Ioc a₂ b₂ := by
simpa [← coe_subset] using Set.Ioc_subset_Ioc ha hb
#align finset.Ioc_subset_Ioc Finset.Ioc_subset_Ioc
theorem Ioo_subset_Ioo (ha : a₂ ≤ a₁) (hb : b₁ ≤ b₂) : Ioo a₁ b₁ ⊆ Ioo a₂ b₂ := by
simpa [← coe_subset] using Set.Ioo_subset_Ioo ha hb
#align finset.Ioo_subset_Ioo Finset.Ioo_subset_Ioo
theorem Icc_subset_Icc_left (h : a₁ ≤ a₂) : Icc a₂ b ⊆ Icc a₁ b :=
Icc_subset_Icc h le_rfl
#align finset.Icc_subset_Icc_left Finset.Icc_subset_Icc_left
theorem Ico_subset_Ico_left (h : a₁ ≤ a₂) : Ico a₂ b ⊆ Ico a₁ b :=
Ico_subset_Ico h le_rfl
#align finset.Ico_subset_Ico_left Finset.Ico_subset_Ico_left
theorem Ioc_subset_Ioc_left (h : a₁ ≤ a₂) : Ioc a₂ b ⊆ Ioc a₁ b :=
Ioc_subset_Ioc h le_rfl
#align finset.Ioc_subset_Ioc_left Finset.Ioc_subset_Ioc_left
theorem Ioo_subset_Ioo_left (h : a₁ ≤ a₂) : Ioo a₂ b ⊆ Ioo a₁ b :=
Ioo_subset_Ioo h le_rfl
#align finset.Ioo_subset_Ioo_left Finset.Ioo_subset_Ioo_left
theorem Icc_subset_Icc_right (h : b₁ ≤ b₂) : Icc a b₁ ⊆ Icc a b₂ :=
Icc_subset_Icc le_rfl h
#align finset.Icc_subset_Icc_right Finset.Icc_subset_Icc_right
theorem Ico_subset_Ico_right (h : b₁ ≤ b₂) : Ico a b₁ ⊆ Ico a b₂ :=
Ico_subset_Ico le_rfl h
#align finset.Ico_subset_Ico_right Finset.Ico_subset_Ico_right
theorem Ioc_subset_Ioc_right (h : b₁ ≤ b₂) : Ioc a b₁ ⊆ Ioc a b₂ :=
Ioc_subset_Ioc le_rfl h
#align finset.Ioc_subset_Ioc_right Finset.Ioc_subset_Ioc_right
theorem Ioo_subset_Ioo_right (h : b₁ ≤ b₂) : Ioo a b₁ ⊆ Ioo a b₂ :=
Ioo_subset_Ioo le_rfl h
#align finset.Ioo_subset_Ioo_right Finset.Ioo_subset_Ioo_right
theorem Ico_subset_Ioo_left (h : a₁ < a₂) : Ico a₂ b ⊆ Ioo a₁ b := by
rw [← coe_subset, coe_Ico, coe_Ioo]
exact Set.Ico_subset_Ioo_left h
#align finset.Ico_subset_Ioo_left Finset.Ico_subset_Ioo_left
theorem Ioc_subset_Ioo_right (h : b₁ < b₂) : Ioc a b₁ ⊆ Ioo a b₂ := by
rw [← coe_subset, coe_Ioc, coe_Ioo]
exact Set.Ioc_subset_Ioo_right h
#align finset.Ioc_subset_Ioo_right Finset.Ioc_subset_Ioo_right
theorem Icc_subset_Ico_right (h : b₁ < b₂) : Icc a b₁ ⊆ Ico a b₂ := by
rw [← coe_subset, coe_Icc, coe_Ico]
exact Set.Icc_subset_Ico_right h
#align finset.Icc_subset_Ico_right Finset.Icc_subset_Ico_right
theorem Ioo_subset_Ico_self : Ioo a b ⊆ Ico a b := by
rw [← coe_subset, coe_Ioo, coe_Ico]
exact Set.Ioo_subset_Ico_self
#align finset.Ioo_subset_Ico_self Finset.Ioo_subset_Ico_self
theorem Ioo_subset_Ioc_self : Ioo a b ⊆ Ioc a b := by
rw [← coe_subset, coe_Ioo, coe_Ioc]
exact Set.Ioo_subset_Ioc_self
#align finset.Ioo_subset_Ioc_self Finset.Ioo_subset_Ioc_self
| Mathlib/Order/Interval/Finset/Basic.lean | 245 | 247 | theorem Ico_subset_Icc_self : Ico a b ⊆ Icc a b := by |
rw [← coe_subset, coe_Ico, coe_Icc]
exact Set.Ico_subset_Icc_self
|
import Mathlib.RingTheory.GradedAlgebra.HomogeneousIdeal
import Mathlib.Topology.Category.TopCat.Basic
import Mathlib.Topology.Sets.Opens
import Mathlib.Data.Set.Subsingleton
#align_import algebraic_geometry.projective_spectrum.topology from "leanprover-community/mathlib"@"d39590fc8728fbf6743249802486f8c91ffe07bc"
noncomputable section
open DirectSum Pointwise SetLike TopCat TopologicalSpace CategoryTheory Opposite
variable {R A : Type*}
variable [CommSemiring R] [CommRing A] [Algebra R A]
variable (𝒜 : ℕ → Submodule R A) [GradedAlgebra 𝒜]
-- porting note (#5171): removed @[nolint has_nonempty_instance]
@[ext]
structure ProjectiveSpectrum where
asHomogeneousIdeal : HomogeneousIdeal 𝒜
isPrime : asHomogeneousIdeal.toIdeal.IsPrime
not_irrelevant_le : ¬HomogeneousIdeal.irrelevant 𝒜 ≤ asHomogeneousIdeal
#align projective_spectrum ProjectiveSpectrum
attribute [instance] ProjectiveSpectrum.isPrime
namespace ProjectiveSpectrum
def zeroLocus (s : Set A) : Set (ProjectiveSpectrum 𝒜) :=
{ x | s ⊆ x.asHomogeneousIdeal }
#align projective_spectrum.zero_locus ProjectiveSpectrum.zeroLocus
@[simp]
theorem mem_zeroLocus (x : ProjectiveSpectrum 𝒜) (s : Set A) :
x ∈ zeroLocus 𝒜 s ↔ s ⊆ x.asHomogeneousIdeal :=
Iff.rfl
#align projective_spectrum.mem_zero_locus ProjectiveSpectrum.mem_zeroLocus
@[simp]
theorem zeroLocus_span (s : Set A) : zeroLocus 𝒜 (Ideal.span s) = zeroLocus 𝒜 s := by
ext x
exact (Submodule.gi _ _).gc s x.asHomogeneousIdeal.toIdeal
#align projective_spectrum.zero_locus_span ProjectiveSpectrum.zeroLocus_span
variable {𝒜}
def vanishingIdeal (t : Set (ProjectiveSpectrum 𝒜)) : HomogeneousIdeal 𝒜 :=
⨅ (x : ProjectiveSpectrum 𝒜) (_ : x ∈ t), x.asHomogeneousIdeal
#align projective_spectrum.vanishing_ideal ProjectiveSpectrum.vanishingIdeal
theorem coe_vanishingIdeal (t : Set (ProjectiveSpectrum 𝒜)) :
(vanishingIdeal t : Set A) =
{ f | ∀ x : ProjectiveSpectrum 𝒜, x ∈ t → f ∈ x.asHomogeneousIdeal } := by
ext f
rw [vanishingIdeal, SetLike.mem_coe, ← HomogeneousIdeal.mem_iff, HomogeneousIdeal.toIdeal_iInf,
Submodule.mem_iInf]
refine forall_congr' fun x => ?_
rw [HomogeneousIdeal.toIdeal_iInf, Submodule.mem_iInf, HomogeneousIdeal.mem_iff]
#align projective_spectrum.coe_vanishing_ideal ProjectiveSpectrum.coe_vanishingIdeal
theorem mem_vanishingIdeal (t : Set (ProjectiveSpectrum 𝒜)) (f : A) :
f ∈ vanishingIdeal t ↔ ∀ x : ProjectiveSpectrum 𝒜, x ∈ t → f ∈ x.asHomogeneousIdeal := by
rw [← SetLike.mem_coe, coe_vanishingIdeal, Set.mem_setOf_eq]
#align projective_spectrum.mem_vanishing_ideal ProjectiveSpectrum.mem_vanishingIdeal
@[simp]
theorem vanishingIdeal_singleton (x : ProjectiveSpectrum 𝒜) :
vanishingIdeal ({x} : Set (ProjectiveSpectrum 𝒜)) = x.asHomogeneousIdeal := by
simp [vanishingIdeal]
#align projective_spectrum.vanishing_ideal_singleton ProjectiveSpectrum.vanishingIdeal_singleton
theorem subset_zeroLocus_iff_le_vanishingIdeal (t : Set (ProjectiveSpectrum 𝒜)) (I : Ideal A) :
t ⊆ zeroLocus 𝒜 I ↔ I ≤ (vanishingIdeal t).toIdeal :=
⟨fun h _ k => (mem_vanishingIdeal _ _).mpr fun _ j => (mem_zeroLocus _ _ _).mpr (h j) k, fun h =>
fun x j =>
(mem_zeroLocus _ _ _).mpr (le_trans h fun _ h => ((mem_vanishingIdeal _ _).mp h) x j)⟩
#align projective_spectrum.subset_zero_locus_iff_le_vanishing_ideal ProjectiveSpectrum.subset_zeroLocus_iff_le_vanishingIdeal
variable (𝒜)
theorem gc_ideal :
@GaloisConnection (Ideal A) (Set (ProjectiveSpectrum 𝒜))ᵒᵈ _ _
(fun I => zeroLocus 𝒜 I) fun t => (vanishingIdeal t).toIdeal :=
fun I t => subset_zeroLocus_iff_le_vanishingIdeal t I
#align projective_spectrum.gc_ideal ProjectiveSpectrum.gc_ideal
theorem gc_set :
@GaloisConnection (Set A) (Set (ProjectiveSpectrum 𝒜))ᵒᵈ _ _
(fun s => zeroLocus 𝒜 s) fun t => vanishingIdeal t := by
have ideal_gc : GaloisConnection Ideal.span _ := (Submodule.gi A _).gc
simpa [zeroLocus_span, Function.comp] using GaloisConnection.compose ideal_gc (gc_ideal 𝒜)
#align projective_spectrum.gc_set ProjectiveSpectrum.gc_set
theorem gc_homogeneousIdeal :
@GaloisConnection (HomogeneousIdeal 𝒜) (Set (ProjectiveSpectrum 𝒜))ᵒᵈ _ _
(fun I => zeroLocus 𝒜 I) fun t => vanishingIdeal t :=
fun I t => by
simpa [show I.toIdeal ≤ (vanishingIdeal t).toIdeal ↔ I ≤ vanishingIdeal t from Iff.rfl] using
subset_zeroLocus_iff_le_vanishingIdeal t I.toIdeal
#align projective_spectrum.gc_homogeneous_ideal ProjectiveSpectrum.gc_homogeneousIdeal
theorem subset_zeroLocus_iff_subset_vanishingIdeal (t : Set (ProjectiveSpectrum 𝒜)) (s : Set A) :
t ⊆ zeroLocus 𝒜 s ↔ s ⊆ vanishingIdeal t :=
(gc_set _) s t
#align projective_spectrum.subset_zero_locus_iff_subset_vanishing_ideal ProjectiveSpectrum.subset_zeroLocus_iff_subset_vanishingIdeal
theorem subset_vanishingIdeal_zeroLocus (s : Set A) : s ⊆ vanishingIdeal (zeroLocus 𝒜 s) :=
(gc_set _).le_u_l s
#align projective_spectrum.subset_vanishing_ideal_zero_locus ProjectiveSpectrum.subset_vanishingIdeal_zeroLocus
theorem ideal_le_vanishingIdeal_zeroLocus (I : Ideal A) :
I ≤ (vanishingIdeal (zeroLocus 𝒜 I)).toIdeal :=
(gc_ideal _).le_u_l I
#align projective_spectrum.ideal_le_vanishing_ideal_zero_locus ProjectiveSpectrum.ideal_le_vanishingIdeal_zeroLocus
theorem homogeneousIdeal_le_vanishingIdeal_zeroLocus (I : HomogeneousIdeal 𝒜) :
I ≤ vanishingIdeal (zeroLocus 𝒜 I) :=
(gc_homogeneousIdeal _).le_u_l I
#align projective_spectrum.homogeneous_ideal_le_vanishing_ideal_zero_locus ProjectiveSpectrum.homogeneousIdeal_le_vanishingIdeal_zeroLocus
theorem subset_zeroLocus_vanishingIdeal (t : Set (ProjectiveSpectrum 𝒜)) :
t ⊆ zeroLocus 𝒜 (vanishingIdeal t) :=
(gc_ideal _).l_u_le t
#align projective_spectrum.subset_zero_locus_vanishing_ideal ProjectiveSpectrum.subset_zeroLocus_vanishingIdeal
theorem zeroLocus_anti_mono {s t : Set A} (h : s ⊆ t) : zeroLocus 𝒜 t ⊆ zeroLocus 𝒜 s :=
(gc_set _).monotone_l h
#align projective_spectrum.zero_locus_anti_mono ProjectiveSpectrum.zeroLocus_anti_mono
theorem zeroLocus_anti_mono_ideal {s t : Ideal A} (h : s ≤ t) :
zeroLocus 𝒜 (t : Set A) ⊆ zeroLocus 𝒜 (s : Set A) :=
(gc_ideal _).monotone_l h
#align projective_spectrum.zero_locus_anti_mono_ideal ProjectiveSpectrum.zeroLocus_anti_mono_ideal
theorem zeroLocus_anti_mono_homogeneousIdeal {s t : HomogeneousIdeal 𝒜} (h : s ≤ t) :
zeroLocus 𝒜 (t : Set A) ⊆ zeroLocus 𝒜 (s : Set A) :=
(gc_homogeneousIdeal _).monotone_l h
#align projective_spectrum.zero_locus_anti_mono_homogeneous_ideal ProjectiveSpectrum.zeroLocus_anti_mono_homogeneousIdeal
theorem vanishingIdeal_anti_mono {s t : Set (ProjectiveSpectrum 𝒜)} (h : s ⊆ t) :
vanishingIdeal t ≤ vanishingIdeal s :=
(gc_ideal _).monotone_u h
#align projective_spectrum.vanishing_ideal_anti_mono ProjectiveSpectrum.vanishingIdeal_anti_mono
theorem zeroLocus_bot : zeroLocus 𝒜 ((⊥ : Ideal A) : Set A) = Set.univ :=
(gc_ideal 𝒜).l_bot
#align projective_spectrum.zero_locus_bot ProjectiveSpectrum.zeroLocus_bot
@[simp]
theorem zeroLocus_singleton_zero : zeroLocus 𝒜 ({0} : Set A) = Set.univ :=
zeroLocus_bot _
#align projective_spectrum.zero_locus_singleton_zero ProjectiveSpectrum.zeroLocus_singleton_zero
@[simp]
theorem zeroLocus_empty : zeroLocus 𝒜 (∅ : Set A) = Set.univ :=
(gc_set 𝒜).l_bot
#align projective_spectrum.zero_locus_empty ProjectiveSpectrum.zeroLocus_empty
@[simp]
theorem vanishingIdeal_univ : vanishingIdeal (∅ : Set (ProjectiveSpectrum 𝒜)) = ⊤ := by
simpa using (gc_ideal _).u_top
#align projective_spectrum.vanishing_ideal_univ ProjectiveSpectrum.vanishingIdeal_univ
theorem zeroLocus_empty_of_one_mem {s : Set A} (h : (1 : A) ∈ s) : zeroLocus 𝒜 s = ∅ :=
Set.eq_empty_iff_forall_not_mem.mpr fun x hx =>
(inferInstance : x.asHomogeneousIdeal.toIdeal.IsPrime).ne_top <|
x.asHomogeneousIdeal.toIdeal.eq_top_iff_one.mpr <| hx h
#align projective_spectrum.zero_locus_empty_of_one_mem ProjectiveSpectrum.zeroLocus_empty_of_one_mem
@[simp]
theorem zeroLocus_singleton_one : zeroLocus 𝒜 ({1} : Set A) = ∅ :=
zeroLocus_empty_of_one_mem 𝒜 (Set.mem_singleton (1 : A))
#align projective_spectrum.zero_locus_singleton_one ProjectiveSpectrum.zeroLocus_singleton_one
@[simp]
theorem zeroLocus_univ : zeroLocus 𝒜 (Set.univ : Set A) = ∅ :=
zeroLocus_empty_of_one_mem _ (Set.mem_univ 1)
#align projective_spectrum.zero_locus_univ ProjectiveSpectrum.zeroLocus_univ
theorem zeroLocus_sup_ideal (I J : Ideal A) :
zeroLocus 𝒜 ((I ⊔ J : Ideal A) : Set A) = zeroLocus _ I ∩ zeroLocus _ J :=
(gc_ideal 𝒜).l_sup
#align projective_spectrum.zero_locus_sup_ideal ProjectiveSpectrum.zeroLocus_sup_ideal
theorem zeroLocus_sup_homogeneousIdeal (I J : HomogeneousIdeal 𝒜) :
zeroLocus 𝒜 ((I ⊔ J : HomogeneousIdeal 𝒜) : Set A) = zeroLocus _ I ∩ zeroLocus _ J :=
(gc_homogeneousIdeal 𝒜).l_sup
#align projective_spectrum.zero_locus_sup_homogeneous_ideal ProjectiveSpectrum.zeroLocus_sup_homogeneousIdeal
theorem zeroLocus_union (s s' : Set A) : zeroLocus 𝒜 (s ∪ s') = zeroLocus _ s ∩ zeroLocus _ s' :=
(gc_set 𝒜).l_sup
#align projective_spectrum.zero_locus_union ProjectiveSpectrum.zeroLocus_union
theorem vanishingIdeal_union (t t' : Set (ProjectiveSpectrum 𝒜)) :
vanishingIdeal (t ∪ t') = vanishingIdeal t ⊓ vanishingIdeal t' := by
ext1; exact (gc_ideal 𝒜).u_inf
#align projective_spectrum.vanishing_ideal_union ProjectiveSpectrum.vanishingIdeal_union
theorem zeroLocus_iSup_ideal {γ : Sort*} (I : γ → Ideal A) :
zeroLocus _ ((⨆ i, I i : Ideal A) : Set A) = ⋂ i, zeroLocus 𝒜 (I i) :=
(gc_ideal 𝒜).l_iSup
#align projective_spectrum.zero_locus_supr_ideal ProjectiveSpectrum.zeroLocus_iSup_ideal
theorem zeroLocus_iSup_homogeneousIdeal {γ : Sort*} (I : γ → HomogeneousIdeal 𝒜) :
zeroLocus _ ((⨆ i, I i : HomogeneousIdeal 𝒜) : Set A) = ⋂ i, zeroLocus 𝒜 (I i) :=
(gc_homogeneousIdeal 𝒜).l_iSup
#align projective_spectrum.zero_locus_supr_homogeneous_ideal ProjectiveSpectrum.zeroLocus_iSup_homogeneousIdeal
theorem zeroLocus_iUnion {γ : Sort*} (s : γ → Set A) :
zeroLocus 𝒜 (⋃ i, s i) = ⋂ i, zeroLocus 𝒜 (s i) :=
(gc_set 𝒜).l_iSup
#align projective_spectrum.zero_locus_Union ProjectiveSpectrum.zeroLocus_iUnion
| Mathlib/AlgebraicGeometry/ProjectiveSpectrum/Topology.lean | 264 | 266 | theorem zeroLocus_bUnion (s : Set (Set A)) :
zeroLocus 𝒜 (⋃ s' ∈ s, s' : Set A) = ⋂ s' ∈ s, zeroLocus 𝒜 s' := by |
simp only [zeroLocus_iUnion]
|
import Mathlib.Algebra.ContinuedFractions.Basic
import Mathlib.Algebra.GroupWithZero.Basic
#align_import algebra.continued_fractions.translations from "leanprover-community/mathlib"@"a7e36e48519ab281320c4d192da6a7b348ce40ad"
namespace GeneralizedContinuedFraction
section WithDivisionRing
variable {K : Type*} {g : GeneralizedContinuedFraction K} {n : ℕ} [DivisionRing K]
theorem nth_cont_eq_succ_nth_cont_aux : g.continuants n = g.continuantsAux (n + 1) :=
rfl
#align generalized_continued_fraction.nth_cont_eq_succ_nth_cont_aux GeneralizedContinuedFraction.nth_cont_eq_succ_nth_cont_aux
theorem num_eq_conts_a : g.numerators n = (g.continuants n).a :=
rfl
#align generalized_continued_fraction.num_eq_conts_a GeneralizedContinuedFraction.num_eq_conts_a
theorem denom_eq_conts_b : g.denominators n = (g.continuants n).b :=
rfl
#align generalized_continued_fraction.denom_eq_conts_b GeneralizedContinuedFraction.denom_eq_conts_b
theorem convergent_eq_num_div_denom : g.convergents n = g.numerators n / g.denominators n :=
rfl
#align generalized_continued_fraction.convergent_eq_num_div_denom GeneralizedContinuedFraction.convergent_eq_num_div_denom
theorem convergent_eq_conts_a_div_conts_b :
g.convergents n = (g.continuants n).a / (g.continuants n).b :=
rfl
#align generalized_continued_fraction.convergent_eq_conts_a_div_conts_b GeneralizedContinuedFraction.convergent_eq_conts_a_div_conts_b
theorem exists_conts_a_of_num {A : K} (nth_num_eq : g.numerators n = A) :
∃ conts, g.continuants n = conts ∧ conts.a = A := by simpa
#align generalized_continued_fraction.exists_conts_a_of_num GeneralizedContinuedFraction.exists_conts_a_of_num
| Mathlib/Algebra/ContinuedFractions/Translations.lean | 116 | 117 | theorem exists_conts_b_of_denom {B : K} (nth_denom_eq : g.denominators n = B) :
∃ conts, g.continuants n = conts ∧ conts.b = B := by | simpa
|
import Mathlib.Analysis.Calculus.LocalExtr.Rolle
import Mathlib.Analysis.Calculus.Deriv.Polynomial
import Mathlib.Topology.Algebra.Polynomial
#align_import analysis.calculus.local_extr from "leanprover-community/mathlib"@"3bce8d800a6f2b8f63fe1e588fd76a9ff4adcebe"
namespace Polynomial
theorem card_roots_toFinset_le_card_roots_derivative_diff_roots_succ (p : ℝ[X]) :
p.roots.toFinset.card ≤ (p.derivative.roots.toFinset \ p.roots.toFinset).card + 1 := by
rcases eq_or_ne (derivative p) 0 with hp' | hp'
· rw [eq_C_of_derivative_eq_zero hp', roots_C, Multiset.toFinset_zero, Finset.card_empty]
exact zero_le _
have hp : p ≠ 0 := ne_of_apply_ne derivative (by rwa [derivative_zero])
refine Finset.card_le_diff_of_interleaved fun x hx y hy hxy hxy' => ?_
rw [Multiset.mem_toFinset, mem_roots hp] at hx hy
obtain ⟨z, hz1, hz2⟩ := exists_deriv_eq_zero hxy p.continuousOn (hx.trans hy.symm)
refine ⟨z, ?_, hz1⟩
rwa [Multiset.mem_toFinset, mem_roots hp', IsRoot, ← p.deriv]
#align polynomial.card_roots_to_finset_le_card_roots_derivative_diff_roots_succ Polynomial.card_roots_toFinset_le_card_roots_derivative_diff_roots_succ
theorem card_roots_toFinset_le_derivative (p : ℝ[X]) :
p.roots.toFinset.card ≤ p.derivative.roots.toFinset.card + 1 :=
p.card_roots_toFinset_le_card_roots_derivative_diff_roots_succ.trans <|
add_le_add_right (Finset.card_mono Finset.sdiff_subset) _
#align polynomial.card_roots_to_finset_le_derivative Polynomial.card_roots_toFinset_le_derivative
theorem card_roots_le_derivative (p : ℝ[X]) :
Multiset.card p.roots ≤ Multiset.card (derivative p).roots + 1 :=
calc
Multiset.card p.roots = ∑ x ∈ p.roots.toFinset, p.roots.count x :=
(Multiset.toFinset_sum_count_eq _).symm
_ = ∑ x ∈ p.roots.toFinset, (p.roots.count x - 1 + 1) :=
(Eq.symm <| Finset.sum_congr rfl fun x hx => tsub_add_cancel_of_le <|
Nat.succ_le_iff.2 <| Multiset.count_pos.2 <| Multiset.mem_toFinset.1 hx)
_ = (∑ x ∈ p.roots.toFinset, (p.rootMultiplicity x - 1)) + p.roots.toFinset.card := by
simp only [Finset.sum_add_distrib, Finset.card_eq_sum_ones, count_roots]
_ ≤ (∑ x ∈ p.roots.toFinset, p.derivative.rootMultiplicity x) +
((p.derivative.roots.toFinset \ p.roots.toFinset).card + 1) :=
(add_le_add
(Finset.sum_le_sum fun x _ => rootMultiplicity_sub_one_le_derivative_rootMultiplicity _ _)
p.card_roots_toFinset_le_card_roots_derivative_diff_roots_succ)
_ ≤ (∑ x ∈ p.roots.toFinset, p.derivative.roots.count x) +
((∑ x ∈ p.derivative.roots.toFinset \ p.roots.toFinset,
p.derivative.roots.count x) + 1) := by
simp only [← count_roots]
refine add_le_add_left (add_le_add_right ((Finset.card_eq_sum_ones _).trans_le ?_) _) _
refine Finset.sum_le_sum fun x hx => Nat.succ_le_iff.2 <| ?_
rw [Multiset.count_pos, ← Multiset.mem_toFinset]
exact (Finset.mem_sdiff.1 hx).1
_ = Multiset.card (derivative p).roots + 1 := by
rw [← add_assoc, ← Finset.sum_union Finset.disjoint_sdiff, Finset.union_sdiff_self_eq_union, ←
Multiset.toFinset_sum_count_eq, ← Finset.sum_subset Finset.subset_union_right]
intro x _ hx₂
simpa only [Multiset.mem_toFinset, Multiset.count_eq_zero] using hx₂
#align polynomial.card_roots_le_derivative Polynomial.card_roots_le_derivative
| Mathlib/Analysis/Calculus/LocalExtr/Polynomial.lean | 91 | 94 | theorem card_rootSet_le_derivative {F : Type*} [CommRing F] [Algebra F ℝ] (p : F[X]) :
Fintype.card (p.rootSet ℝ) ≤ Fintype.card (p.derivative.rootSet ℝ) + 1 := by |
simpa only [rootSet_def, Finset.coe_sort_coe, Fintype.card_coe, derivative_map] using
card_roots_toFinset_le_derivative (p.map (algebraMap F ℝ))
|
import Mathlib.Algebra.BigOperators.Ring
import Mathlib.Data.Fintype.BigOperators
import Mathlib.Data.Fintype.Fin
import Mathlib.GroupTheory.GroupAction.Pi
import Mathlib.Logic.Equiv.Fin
#align_import algebra.big_operators.fin from "leanprover-community/mathlib"@"cc5dd6244981976cc9da7afc4eee5682b037a013"
open Finset
variable {α : Type*} {β : Type*}
namespace Fin
@[to_additive]
theorem prod_ofFn [CommMonoid β] {n : ℕ} (f : Fin n → β) : (List.ofFn f).prod = ∏ i, f i := by
simp [prod_eq_multiset_prod]
#align fin.prod_of_fn Fin.prod_ofFn
#align fin.sum_of_fn Fin.sum_ofFn
@[to_additive]
theorem prod_univ_def [CommMonoid β] {n : ℕ} (f : Fin n → β) :
∏ i, f i = ((List.finRange n).map f).prod := by
rw [← List.ofFn_eq_map, prod_ofFn]
#align fin.prod_univ_def Fin.prod_univ_def
#align fin.sum_univ_def Fin.sum_univ_def
@[to_additive "A sum of a function `f : Fin 0 → β` is `0` because `Fin 0` is empty"]
theorem prod_univ_zero [CommMonoid β] (f : Fin 0 → β) : ∏ i, f i = 1 :=
rfl
#align fin.prod_univ_zero Fin.prod_univ_zero
#align fin.sum_univ_zero Fin.sum_univ_zero
@[to_additive "A sum of a function `f : Fin (n + 1) → β` over all `Fin (n + 1)` is the sum of
`f x`, for some `x : Fin (n + 1)` plus the remaining product"]
theorem prod_univ_succAbove [CommMonoid β] {n : ℕ} (f : Fin (n + 1) → β) (x : Fin (n + 1)) :
∏ i, f i = f x * ∏ i : Fin n, f (x.succAbove i) := by
rw [univ_succAbove, prod_cons, Finset.prod_map _ x.succAboveEmb]
rfl
#align fin.prod_univ_succ_above Fin.prod_univ_succAbove
#align fin.sum_univ_succ_above Fin.sum_univ_succAbove
@[to_additive "A sum of a function `f : Fin (n + 1) → β` over all `Fin (n + 1)` is the sum of
`f 0` plus the remaining product"]
theorem prod_univ_succ [CommMonoid β] {n : ℕ} (f : Fin (n + 1) → β) :
∏ i, f i = f 0 * ∏ i : Fin n, f i.succ :=
prod_univ_succAbove f 0
#align fin.prod_univ_succ Fin.prod_univ_succ
#align fin.sum_univ_succ Fin.sum_univ_succ
@[to_additive "A sum of a function `f : Fin (n + 1) → β` over all `Fin (n + 1)` is the sum of
`f (Fin.last n)` plus the remaining sum"]
theorem prod_univ_castSucc [CommMonoid β] {n : ℕ} (f : Fin (n + 1) → β) :
∏ i, f i = (∏ i : Fin n, f (Fin.castSucc i)) * f (last n) := by
simpa [mul_comm] using prod_univ_succAbove f (last n)
#align fin.prod_univ_cast_succ Fin.prod_univ_castSucc
#align fin.sum_univ_cast_succ Fin.sum_univ_castSucc
@[to_additive (attr := simp)]
theorem prod_univ_get [CommMonoid α] (l : List α) : ∏ i, l.get i = l.prod := by
simp [Finset.prod_eq_multiset_prod]
@[to_additive (attr := simp)]
theorem prod_univ_get' [CommMonoid β] (l : List α) (f : α → β) :
∏ i, f (l.get i) = (l.map f).prod := by
simp [Finset.prod_eq_multiset_prod]
@[to_additive]
theorem prod_cons [CommMonoid β] {n : ℕ} (x : β) (f : Fin n → β) :
(∏ i : Fin n.succ, (cons x f : Fin n.succ → β) i) = x * ∏ i : Fin n, f i := by
simp_rw [prod_univ_succ, cons_zero, cons_succ]
#align fin.prod_cons Fin.prod_cons
#align fin.sum_cons Fin.sum_cons
@[to_additive sum_univ_one]
theorem prod_univ_one [CommMonoid β] (f : Fin 1 → β) : ∏ i, f i = f 0 := by simp
#align fin.prod_univ_one Fin.prod_univ_one
#align fin.sum_univ_one Fin.sum_univ_one
@[to_additive (attr := simp)]
theorem prod_univ_two [CommMonoid β] (f : Fin 2 → β) : ∏ i, f i = f 0 * f 1 := by
simp [prod_univ_succ]
#align fin.prod_univ_two Fin.prod_univ_two
#align fin.sum_univ_two Fin.sum_univ_two
@[to_additive]
theorem prod_univ_two' [CommMonoid β] (f : α → β) (a b : α) :
∏ i, f (![a, b] i) = f a * f b :=
prod_univ_two _
@[to_additive]
theorem prod_univ_three [CommMonoid β] (f : Fin 3 → β) : ∏ i, f i = f 0 * f 1 * f 2 := by
rw [prod_univ_castSucc, prod_univ_two]
rfl
#align fin.prod_univ_three Fin.prod_univ_three
#align fin.sum_univ_three Fin.sum_univ_three
@[to_additive]
theorem prod_univ_four [CommMonoid β] (f : Fin 4 → β) : ∏ i, f i = f 0 * f 1 * f 2 * f 3 := by
rw [prod_univ_castSucc, prod_univ_three]
rfl
#align fin.prod_univ_four Fin.prod_univ_four
#align fin.sum_univ_four Fin.sum_univ_four
@[to_additive]
theorem prod_univ_five [CommMonoid β] (f : Fin 5 → β) :
∏ i, f i = f 0 * f 1 * f 2 * f 3 * f 4 := by
rw [prod_univ_castSucc, prod_univ_four]
rfl
#align fin.prod_univ_five Fin.prod_univ_five
#align fin.sum_univ_five Fin.sum_univ_five
@[to_additive]
theorem prod_univ_six [CommMonoid β] (f : Fin 6 → β) :
∏ i, f i = f 0 * f 1 * f 2 * f 3 * f 4 * f 5 := by
rw [prod_univ_castSucc, prod_univ_five]
rfl
#align fin.prod_univ_six Fin.prod_univ_six
#align fin.sum_univ_six Fin.sum_univ_six
@[to_additive]
theorem prod_univ_seven [CommMonoid β] (f : Fin 7 → β) :
∏ i, f i = f 0 * f 1 * f 2 * f 3 * f 4 * f 5 * f 6 := by
rw [prod_univ_castSucc, prod_univ_six]
rfl
#align fin.prod_univ_seven Fin.prod_univ_seven
#align fin.sum_univ_seven Fin.sum_univ_seven
@[to_additive]
theorem prod_univ_eight [CommMonoid β] (f : Fin 8 → β) :
∏ i, f i = f 0 * f 1 * f 2 * f 3 * f 4 * f 5 * f 6 * f 7 := by
rw [prod_univ_castSucc, prod_univ_seven]
rfl
#align fin.prod_univ_eight Fin.prod_univ_eight
#align fin.sum_univ_eight Fin.sum_univ_eight
theorem sum_pow_mul_eq_add_pow {n : ℕ} {R : Type*} [CommSemiring R] (a b : R) :
(∑ s : Finset (Fin n), a ^ s.card * b ^ (n - s.card)) = (a + b) ^ n := by
simpa using Fintype.sum_pow_mul_eq_add_pow (Fin n) a b
#align fin.sum_pow_mul_eq_add_pow Fin.sum_pow_mul_eq_add_pow
theorem prod_const [CommMonoid α] (n : ℕ) (x : α) : ∏ _i : Fin n, x = x ^ n := by simp
#align fin.prod_const Fin.prod_const
theorem sum_const [AddCommMonoid α] (n : ℕ) (x : α) : ∑ _i : Fin n, x = n • x := by simp
#align fin.sum_const Fin.sum_const
@[to_additive]
theorem prod_Ioi_zero {M : Type*} [CommMonoid M] {n : ℕ} {v : Fin n.succ → M} :
∏ i ∈ Ioi 0, v i = ∏ j : Fin n, v j.succ := by
rw [Ioi_zero_eq_map, Finset.prod_map, val_succEmb]
#align fin.prod_Ioi_zero Fin.prod_Ioi_zero
#align fin.sum_Ioi_zero Fin.sum_Ioi_zero
@[to_additive]
theorem prod_Ioi_succ {M : Type*} [CommMonoid M] {n : ℕ} (i : Fin n) (v : Fin n.succ → M) :
∏ j ∈ Ioi i.succ, v j = ∏ j ∈ Ioi i, v j.succ := by
rw [Ioi_succ, Finset.prod_map, val_succEmb]
#align fin.prod_Ioi_succ Fin.prod_Ioi_succ
#align fin.sum_Ioi_succ Fin.sum_Ioi_succ
@[to_additive]
| Mathlib/Algebra/BigOperators/Fin.lean | 200 | 203 | theorem prod_congr' {M : Type*} [CommMonoid M] {a b : ℕ} (f : Fin b → M) (h : a = b) :
(∏ i : Fin a, f (cast h i)) = ∏ i : Fin b, f i := by |
subst h
congr
|
import Mathlib.Analysis.Calculus.FDeriv.Basic
import Mathlib.Analysis.NormedSpace.OperatorNorm.NormedSpace
#align_import analysis.calculus.deriv.basic from "leanprover-community/mathlib"@"3bce8d800a6f2b8f63fe1e588fd76a9ff4adcebe"
universe u v w
noncomputable section
open scoped Classical Topology Filter ENNReal NNReal
open Filter Asymptotics Set
open ContinuousLinearMap (smulRight smulRight_one_eq_iff)
variable {𝕜 : Type u} [NontriviallyNormedField 𝕜]
variable {F : Type v} [NormedAddCommGroup F] [NormedSpace 𝕜 F]
variable {E : Type w} [NormedAddCommGroup E] [NormedSpace 𝕜 E]
def HasDerivAtFilter (f : 𝕜 → F) (f' : F) (x : 𝕜) (L : Filter 𝕜) :=
HasFDerivAtFilter f (smulRight (1 : 𝕜 →L[𝕜] 𝕜) f') x L
#align has_deriv_at_filter HasDerivAtFilter
def HasDerivWithinAt (f : 𝕜 → F) (f' : F) (s : Set 𝕜) (x : 𝕜) :=
HasDerivAtFilter f f' x (𝓝[s] x)
#align has_deriv_within_at HasDerivWithinAt
def HasDerivAt (f : 𝕜 → F) (f' : F) (x : 𝕜) :=
HasDerivAtFilter f f' x (𝓝 x)
#align has_deriv_at HasDerivAt
def HasStrictDerivAt (f : 𝕜 → F) (f' : F) (x : 𝕜) :=
HasStrictFDerivAt f (smulRight (1 : 𝕜 →L[𝕜] 𝕜) f') x
#align has_strict_deriv_at HasStrictDerivAt
def derivWithin (f : 𝕜 → F) (s : Set 𝕜) (x : 𝕜) :=
fderivWithin 𝕜 f s x 1
#align deriv_within derivWithin
def deriv (f : 𝕜 → F) (x : 𝕜) :=
fderiv 𝕜 f x 1
#align deriv deriv
variable {f f₀ f₁ g : 𝕜 → F}
variable {f' f₀' f₁' g' : F}
variable {x : 𝕜}
variable {s t : Set 𝕜}
variable {L L₁ L₂ : Filter 𝕜}
theorem hasFDerivAtFilter_iff_hasDerivAtFilter {f' : 𝕜 →L[𝕜] F} :
HasFDerivAtFilter f f' x L ↔ HasDerivAtFilter f (f' 1) x L := by simp [HasDerivAtFilter]
#align has_fderiv_at_filter_iff_has_deriv_at_filter hasFDerivAtFilter_iff_hasDerivAtFilter
theorem HasFDerivAtFilter.hasDerivAtFilter {f' : 𝕜 →L[𝕜] F} :
HasFDerivAtFilter f f' x L → HasDerivAtFilter f (f' 1) x L :=
hasFDerivAtFilter_iff_hasDerivAtFilter.mp
#align has_fderiv_at_filter.has_deriv_at_filter HasFDerivAtFilter.hasDerivAtFilter
theorem hasFDerivWithinAt_iff_hasDerivWithinAt {f' : 𝕜 →L[𝕜] F} :
HasFDerivWithinAt f f' s x ↔ HasDerivWithinAt f (f' 1) s x :=
hasFDerivAtFilter_iff_hasDerivAtFilter
#align has_fderiv_within_at_iff_has_deriv_within_at hasFDerivWithinAt_iff_hasDerivWithinAt
theorem hasDerivWithinAt_iff_hasFDerivWithinAt {f' : F} :
HasDerivWithinAt f f' s x ↔ HasFDerivWithinAt f (smulRight (1 : 𝕜 →L[𝕜] 𝕜) f') s x :=
Iff.rfl
#align has_deriv_within_at_iff_has_fderiv_within_at hasDerivWithinAt_iff_hasFDerivWithinAt
theorem HasFDerivWithinAt.hasDerivWithinAt {f' : 𝕜 →L[𝕜] F} :
HasFDerivWithinAt f f' s x → HasDerivWithinAt f (f' 1) s x :=
hasFDerivWithinAt_iff_hasDerivWithinAt.mp
#align has_fderiv_within_at.has_deriv_within_at HasFDerivWithinAt.hasDerivWithinAt
theorem HasDerivWithinAt.hasFDerivWithinAt {f' : F} :
HasDerivWithinAt f f' s x → HasFDerivWithinAt f (smulRight (1 : 𝕜 →L[𝕜] 𝕜) f') s x :=
hasDerivWithinAt_iff_hasFDerivWithinAt.mp
#align has_deriv_within_at.has_fderiv_within_at HasDerivWithinAt.hasFDerivWithinAt
theorem hasFDerivAt_iff_hasDerivAt {f' : 𝕜 →L[𝕜] F} : HasFDerivAt f f' x ↔ HasDerivAt f (f' 1) x :=
hasFDerivAtFilter_iff_hasDerivAtFilter
#align has_fderiv_at_iff_has_deriv_at hasFDerivAt_iff_hasDerivAt
theorem HasFDerivAt.hasDerivAt {f' : 𝕜 →L[𝕜] F} : HasFDerivAt f f' x → HasDerivAt f (f' 1) x :=
hasFDerivAt_iff_hasDerivAt.mp
#align has_fderiv_at.has_deriv_at HasFDerivAt.hasDerivAt
theorem hasStrictFDerivAt_iff_hasStrictDerivAt {f' : 𝕜 →L[𝕜] F} :
HasStrictFDerivAt f f' x ↔ HasStrictDerivAt f (f' 1) x := by
simp [HasStrictDerivAt, HasStrictFDerivAt]
#align has_strict_fderiv_at_iff_has_strict_deriv_at hasStrictFDerivAt_iff_hasStrictDerivAt
protected theorem HasStrictFDerivAt.hasStrictDerivAt {f' : 𝕜 →L[𝕜] F} :
HasStrictFDerivAt f f' x → HasStrictDerivAt f (f' 1) x :=
hasStrictFDerivAt_iff_hasStrictDerivAt.mp
#align has_strict_fderiv_at.has_strict_deriv_at HasStrictFDerivAt.hasStrictDerivAt
theorem hasStrictDerivAt_iff_hasStrictFDerivAt :
HasStrictDerivAt f f' x ↔ HasStrictFDerivAt f (smulRight (1 : 𝕜 →L[𝕜] 𝕜) f') x :=
Iff.rfl
#align has_strict_deriv_at_iff_has_strict_fderiv_at hasStrictDerivAt_iff_hasStrictFDerivAt
alias ⟨HasStrictDerivAt.hasStrictFDerivAt, _⟩ := hasStrictDerivAt_iff_hasStrictFDerivAt
#align has_strict_deriv_at.has_strict_fderiv_at HasStrictDerivAt.hasStrictFDerivAt
theorem hasDerivAt_iff_hasFDerivAt {f' : F} :
HasDerivAt f f' x ↔ HasFDerivAt f (smulRight (1 : 𝕜 →L[𝕜] 𝕜) f') x :=
Iff.rfl
#align has_deriv_at_iff_has_fderiv_at hasDerivAt_iff_hasFDerivAt
alias ⟨HasDerivAt.hasFDerivAt, _⟩ := hasDerivAt_iff_hasFDerivAt
#align has_deriv_at.has_fderiv_at HasDerivAt.hasFDerivAt
theorem derivWithin_zero_of_not_differentiableWithinAt (h : ¬DifferentiableWithinAt 𝕜 f s x) :
derivWithin f s x = 0 := by
unfold derivWithin
rw [fderivWithin_zero_of_not_differentiableWithinAt h]
simp
#align deriv_within_zero_of_not_differentiable_within_at derivWithin_zero_of_not_differentiableWithinAt
theorem derivWithin_zero_of_isolated (h : 𝓝[s \ {x}] x = ⊥) : derivWithin f s x = 0 := by
rw [derivWithin, fderivWithin_zero_of_isolated h, ContinuousLinearMap.zero_apply]
theorem derivWithin_zero_of_nmem_closure (h : x ∉ closure s) : derivWithin f s x = 0 := by
rw [derivWithin, fderivWithin_zero_of_nmem_closure h, ContinuousLinearMap.zero_apply]
theorem differentiableWithinAt_of_derivWithin_ne_zero (h : derivWithin f s x ≠ 0) :
DifferentiableWithinAt 𝕜 f s x :=
not_imp_comm.1 derivWithin_zero_of_not_differentiableWithinAt h
#align differentiable_within_at_of_deriv_within_ne_zero differentiableWithinAt_of_derivWithin_ne_zero
theorem deriv_zero_of_not_differentiableAt (h : ¬DifferentiableAt 𝕜 f x) : deriv f x = 0 := by
unfold deriv
rw [fderiv_zero_of_not_differentiableAt h]
simp
#align deriv_zero_of_not_differentiable_at deriv_zero_of_not_differentiableAt
theorem differentiableAt_of_deriv_ne_zero (h : deriv f x ≠ 0) : DifferentiableAt 𝕜 f x :=
not_imp_comm.1 deriv_zero_of_not_differentiableAt h
#align differentiable_at_of_deriv_ne_zero differentiableAt_of_deriv_ne_zero
theorem UniqueDiffWithinAt.eq_deriv (s : Set 𝕜) (H : UniqueDiffWithinAt 𝕜 s x)
(h : HasDerivWithinAt f f' s x) (h₁ : HasDerivWithinAt f f₁' s x) : f' = f₁' :=
smulRight_one_eq_iff.mp <| UniqueDiffWithinAt.eq H h h₁
#align unique_diff_within_at.eq_deriv UniqueDiffWithinAt.eq_deriv
theorem hasDerivAtFilter_iff_isLittleO :
HasDerivAtFilter f f' x L ↔ (fun x' : 𝕜 => f x' - f x - (x' - x) • f') =o[L] fun x' => x' - x :=
hasFDerivAtFilter_iff_isLittleO ..
#align has_deriv_at_filter_iff_is_o hasDerivAtFilter_iff_isLittleO
theorem hasDerivAtFilter_iff_tendsto :
HasDerivAtFilter f f' x L ↔
Tendsto (fun x' : 𝕜 => ‖x' - x‖⁻¹ * ‖f x' - f x - (x' - x) • f'‖) L (𝓝 0) :=
hasFDerivAtFilter_iff_tendsto
#align has_deriv_at_filter_iff_tendsto hasDerivAtFilter_iff_tendsto
theorem hasDerivWithinAt_iff_isLittleO :
HasDerivWithinAt f f' s x ↔
(fun x' : 𝕜 => f x' - f x - (x' - x) • f') =o[𝓝[s] x] fun x' => x' - x :=
hasFDerivAtFilter_iff_isLittleO ..
#align has_deriv_within_at_iff_is_o hasDerivWithinAt_iff_isLittleO
theorem hasDerivWithinAt_iff_tendsto :
HasDerivWithinAt f f' s x ↔
Tendsto (fun x' => ‖x' - x‖⁻¹ * ‖f x' - f x - (x' - x) • f'‖) (𝓝[s] x) (𝓝 0) :=
hasFDerivAtFilter_iff_tendsto
#align has_deriv_within_at_iff_tendsto hasDerivWithinAt_iff_tendsto
theorem hasDerivAt_iff_isLittleO :
HasDerivAt f f' x ↔ (fun x' : 𝕜 => f x' - f x - (x' - x) • f') =o[𝓝 x] fun x' => x' - x :=
hasFDerivAtFilter_iff_isLittleO ..
#align has_deriv_at_iff_is_o hasDerivAt_iff_isLittleO
theorem hasDerivAt_iff_tendsto :
HasDerivAt f f' x ↔ Tendsto (fun x' => ‖x' - x‖⁻¹ * ‖f x' - f x - (x' - x) • f'‖) (𝓝 x) (𝓝 0) :=
hasFDerivAtFilter_iff_tendsto
#align has_deriv_at_iff_tendsto hasDerivAt_iff_tendsto
theorem HasDerivAtFilter.isBigO_sub (h : HasDerivAtFilter f f' x L) :
(fun x' => f x' - f x) =O[L] fun x' => x' - x :=
HasFDerivAtFilter.isBigO_sub h
set_option linter.uppercaseLean3 false in
#align has_deriv_at_filter.is_O_sub HasDerivAtFilter.isBigO_sub
nonrec theorem HasDerivAtFilter.isBigO_sub_rev (hf : HasDerivAtFilter f f' x L) (hf' : f' ≠ 0) :
(fun x' => x' - x) =O[L] fun x' => f x' - f x :=
suffices AntilipschitzWith ‖f'‖₊⁻¹ (smulRight (1 : 𝕜 →L[𝕜] 𝕜) f') from hf.isBigO_sub_rev this
AddMonoidHomClass.antilipschitz_of_bound (smulRight (1 : 𝕜 →L[𝕜] 𝕜) f') fun x => by
simp [norm_smul, ← div_eq_inv_mul, mul_div_cancel_right₀ _ (mt norm_eq_zero.1 hf')]
set_option linter.uppercaseLean3 false in
#align has_deriv_at_filter.is_O_sub_rev HasDerivAtFilter.isBigO_sub_rev
theorem HasStrictDerivAt.hasDerivAt (h : HasStrictDerivAt f f' x) : HasDerivAt f f' x :=
h.hasFDerivAt
#align has_strict_deriv_at.has_deriv_at HasStrictDerivAt.hasDerivAt
theorem hasDerivWithinAt_congr_set' {s t : Set 𝕜} (y : 𝕜) (h : s =ᶠ[𝓝[{y}ᶜ] x] t) :
HasDerivWithinAt f f' s x ↔ HasDerivWithinAt f f' t x :=
hasFDerivWithinAt_congr_set' y h
#align has_deriv_within_at_congr_set' hasDerivWithinAt_congr_set'
theorem hasDerivWithinAt_congr_set {s t : Set 𝕜} (h : s =ᶠ[𝓝 x] t) :
HasDerivWithinAt f f' s x ↔ HasDerivWithinAt f f' t x :=
hasFDerivWithinAt_congr_set h
#align has_deriv_within_at_congr_set hasDerivWithinAt_congr_set
alias ⟨HasDerivWithinAt.congr_set, _⟩ := hasDerivWithinAt_congr_set
#align has_deriv_within_at.congr_set HasDerivWithinAt.congr_set
@[simp]
theorem hasDerivWithinAt_diff_singleton :
HasDerivWithinAt f f' (s \ {x}) x ↔ HasDerivWithinAt f f' s x :=
hasFDerivWithinAt_diff_singleton _
#align has_deriv_within_at_diff_singleton hasDerivWithinAt_diff_singleton
@[simp]
theorem hasDerivWithinAt_Ioi_iff_Ici [PartialOrder 𝕜] :
HasDerivWithinAt f f' (Ioi x) x ↔ HasDerivWithinAt f f' (Ici x) x := by
rw [← Ici_diff_left, hasDerivWithinAt_diff_singleton]
#align has_deriv_within_at_Ioi_iff_Ici hasDerivWithinAt_Ioi_iff_Ici
alias ⟨HasDerivWithinAt.Ici_of_Ioi, HasDerivWithinAt.Ioi_of_Ici⟩ := hasDerivWithinAt_Ioi_iff_Ici
#align has_deriv_within_at.Ici_of_Ioi HasDerivWithinAt.Ici_of_Ioi
#align has_deriv_within_at.Ioi_of_Ici HasDerivWithinAt.Ioi_of_Ici
@[simp]
theorem hasDerivWithinAt_Iio_iff_Iic [PartialOrder 𝕜] :
HasDerivWithinAt f f' (Iio x) x ↔ HasDerivWithinAt f f' (Iic x) x := by
rw [← Iic_diff_right, hasDerivWithinAt_diff_singleton]
#align has_deriv_within_at_Iio_iff_Iic hasDerivWithinAt_Iio_iff_Iic
alias ⟨HasDerivWithinAt.Iic_of_Iio, HasDerivWithinAt.Iio_of_Iic⟩ := hasDerivWithinAt_Iio_iff_Iic
#align has_deriv_within_at.Iic_of_Iio HasDerivWithinAt.Iic_of_Iio
#align has_deriv_within_at.Iio_of_Iic HasDerivWithinAt.Iio_of_Iic
theorem HasDerivWithinAt.Ioi_iff_Ioo [LinearOrder 𝕜] [OrderClosedTopology 𝕜] {x y : 𝕜} (h : x < y) :
HasDerivWithinAt f f' (Ioo x y) x ↔ HasDerivWithinAt f f' (Ioi x) x :=
hasFDerivWithinAt_inter <| Iio_mem_nhds h
#align has_deriv_within_at.Ioi_iff_Ioo HasDerivWithinAt.Ioi_iff_Ioo
alias ⟨HasDerivWithinAt.Ioi_of_Ioo, HasDerivWithinAt.Ioo_of_Ioi⟩ := HasDerivWithinAt.Ioi_iff_Ioo
#align has_deriv_within_at.Ioi_of_Ioo HasDerivWithinAt.Ioi_of_Ioo
#align has_deriv_within_at.Ioo_of_Ioi HasDerivWithinAt.Ioo_of_Ioi
theorem hasDerivAt_iff_isLittleO_nhds_zero :
HasDerivAt f f' x ↔ (fun h => f (x + h) - f x - h • f') =o[𝓝 0] fun h => h :=
hasFDerivAt_iff_isLittleO_nhds_zero
#align has_deriv_at_iff_is_o_nhds_zero hasDerivAt_iff_isLittleO_nhds_zero
theorem HasDerivAtFilter.mono (h : HasDerivAtFilter f f' x L₂) (hst : L₁ ≤ L₂) :
HasDerivAtFilter f f' x L₁ :=
HasFDerivAtFilter.mono h hst
#align has_deriv_at_filter.mono HasDerivAtFilter.mono
theorem HasDerivWithinAt.mono (h : HasDerivWithinAt f f' t x) (hst : s ⊆ t) :
HasDerivWithinAt f f' s x :=
HasFDerivWithinAt.mono h hst
#align has_deriv_within_at.mono HasDerivWithinAt.mono
theorem HasDerivWithinAt.mono_of_mem (h : HasDerivWithinAt f f' t x) (hst : t ∈ 𝓝[s] x) :
HasDerivWithinAt f f' s x :=
HasFDerivWithinAt.mono_of_mem h hst
#align has_deriv_within_at.mono_of_mem HasDerivWithinAt.mono_of_mem
#align has_deriv_within_at.nhds_within HasDerivWithinAt.mono_of_mem
theorem HasDerivAt.hasDerivAtFilter (h : HasDerivAt f f' x) (hL : L ≤ 𝓝 x) :
HasDerivAtFilter f f' x L :=
HasFDerivAt.hasFDerivAtFilter h hL
#align has_deriv_at.has_deriv_at_filter HasDerivAt.hasDerivAtFilter
theorem HasDerivAt.hasDerivWithinAt (h : HasDerivAt f f' x) : HasDerivWithinAt f f' s x :=
HasFDerivAt.hasFDerivWithinAt h
#align has_deriv_at.has_deriv_within_at HasDerivAt.hasDerivWithinAt
theorem HasDerivWithinAt.differentiableWithinAt (h : HasDerivWithinAt f f' s x) :
DifferentiableWithinAt 𝕜 f s x :=
HasFDerivWithinAt.differentiableWithinAt h
#align has_deriv_within_at.differentiable_within_at HasDerivWithinAt.differentiableWithinAt
theorem HasDerivAt.differentiableAt (h : HasDerivAt f f' x) : DifferentiableAt 𝕜 f x :=
HasFDerivAt.differentiableAt h
#align has_deriv_at.differentiable_at HasDerivAt.differentiableAt
@[simp]
theorem hasDerivWithinAt_univ : HasDerivWithinAt f f' univ x ↔ HasDerivAt f f' x :=
hasFDerivWithinAt_univ
#align has_deriv_within_at_univ hasDerivWithinAt_univ
theorem HasDerivAt.unique (h₀ : HasDerivAt f f₀' x) (h₁ : HasDerivAt f f₁' x) : f₀' = f₁' :=
smulRight_one_eq_iff.mp <| h₀.hasFDerivAt.unique h₁
#align has_deriv_at.unique HasDerivAt.unique
theorem hasDerivWithinAt_inter' (h : t ∈ 𝓝[s] x) :
HasDerivWithinAt f f' (s ∩ t) x ↔ HasDerivWithinAt f f' s x :=
hasFDerivWithinAt_inter' h
#align has_deriv_within_at_inter' hasDerivWithinAt_inter'
theorem hasDerivWithinAt_inter (h : t ∈ 𝓝 x) :
HasDerivWithinAt f f' (s ∩ t) x ↔ HasDerivWithinAt f f' s x :=
hasFDerivWithinAt_inter h
#align has_deriv_within_at_inter hasDerivWithinAt_inter
theorem HasDerivWithinAt.union (hs : HasDerivWithinAt f f' s x) (ht : HasDerivWithinAt f f' t x) :
HasDerivWithinAt f f' (s ∪ t) x :=
hs.hasFDerivWithinAt.union ht.hasFDerivWithinAt
#align has_deriv_within_at.union HasDerivWithinAt.union
theorem HasDerivWithinAt.hasDerivAt (h : HasDerivWithinAt f f' s x) (hs : s ∈ 𝓝 x) :
HasDerivAt f f' x :=
HasFDerivWithinAt.hasFDerivAt h hs
#align has_deriv_within_at.has_deriv_at HasDerivWithinAt.hasDerivAt
theorem DifferentiableWithinAt.hasDerivWithinAt (h : DifferentiableWithinAt 𝕜 f s x) :
HasDerivWithinAt f (derivWithin f s x) s x :=
h.hasFDerivWithinAt.hasDerivWithinAt
#align differentiable_within_at.has_deriv_within_at DifferentiableWithinAt.hasDerivWithinAt
theorem DifferentiableAt.hasDerivAt (h : DifferentiableAt 𝕜 f x) : HasDerivAt f (deriv f x) x :=
h.hasFDerivAt.hasDerivAt
#align differentiable_at.has_deriv_at DifferentiableAt.hasDerivAt
@[simp]
theorem hasDerivAt_deriv_iff : HasDerivAt f (deriv f x) x ↔ DifferentiableAt 𝕜 f x :=
⟨fun h => h.differentiableAt, fun h => h.hasDerivAt⟩
#align has_deriv_at_deriv_iff hasDerivAt_deriv_iff
@[simp]
theorem hasDerivWithinAt_derivWithin_iff :
HasDerivWithinAt f (derivWithin f s x) s x ↔ DifferentiableWithinAt 𝕜 f s x :=
⟨fun h => h.differentiableWithinAt, fun h => h.hasDerivWithinAt⟩
#align has_deriv_within_at_deriv_within_iff hasDerivWithinAt_derivWithin_iff
theorem DifferentiableOn.hasDerivAt (h : DifferentiableOn 𝕜 f s) (hs : s ∈ 𝓝 x) :
HasDerivAt f (deriv f x) x :=
(h.hasFDerivAt hs).hasDerivAt
#align differentiable_on.has_deriv_at DifferentiableOn.hasDerivAt
theorem HasDerivAt.deriv (h : HasDerivAt f f' x) : deriv f x = f' :=
h.differentiableAt.hasDerivAt.unique h
#align has_deriv_at.deriv HasDerivAt.deriv
theorem deriv_eq {f' : 𝕜 → F} (h : ∀ x, HasDerivAt f (f' x) x) : deriv f = f' :=
funext fun x => (h x).deriv
#align deriv_eq deriv_eq
theorem HasDerivWithinAt.derivWithin (h : HasDerivWithinAt f f' s x)
(hxs : UniqueDiffWithinAt 𝕜 s x) : derivWithin f s x = f' :=
hxs.eq_deriv _ h.differentiableWithinAt.hasDerivWithinAt h
#align has_deriv_within_at.deriv_within HasDerivWithinAt.derivWithin
theorem fderivWithin_derivWithin : (fderivWithin 𝕜 f s x : 𝕜 → F) 1 = derivWithin f s x :=
rfl
#align fderiv_within_deriv_within fderivWithin_derivWithin
theorem derivWithin_fderivWithin :
smulRight (1 : 𝕜 →L[𝕜] 𝕜) (derivWithin f s x) = fderivWithin 𝕜 f s x := by simp [derivWithin]
#align deriv_within_fderiv_within derivWithin_fderivWithin
theorem norm_derivWithin_eq_norm_fderivWithin : ‖derivWithin f s x‖ = ‖fderivWithin 𝕜 f s x‖ := by
simp [← derivWithin_fderivWithin]
theorem fderiv_deriv : (fderiv 𝕜 f x : 𝕜 → F) 1 = deriv f x :=
rfl
#align fderiv_deriv fderiv_deriv
theorem deriv_fderiv : smulRight (1 : 𝕜 →L[𝕜] 𝕜) (deriv f x) = fderiv 𝕜 f x := by simp [deriv]
#align deriv_fderiv deriv_fderiv
theorem norm_deriv_eq_norm_fderiv : ‖deriv f x‖ = ‖fderiv 𝕜 f x‖ := by
simp [← deriv_fderiv]
theorem DifferentiableAt.derivWithin (h : DifferentiableAt 𝕜 f x) (hxs : UniqueDiffWithinAt 𝕜 s x) :
derivWithin f s x = deriv f x := by
unfold derivWithin deriv
rw [h.fderivWithin hxs]
#align differentiable_at.deriv_within DifferentiableAt.derivWithin
theorem HasDerivWithinAt.deriv_eq_zero (hd : HasDerivWithinAt f 0 s x)
(H : UniqueDiffWithinAt 𝕜 s x) : deriv f x = 0 :=
(em' (DifferentiableAt 𝕜 f x)).elim deriv_zero_of_not_differentiableAt fun h =>
H.eq_deriv _ h.hasDerivAt.hasDerivWithinAt hd
#align has_deriv_within_at.deriv_eq_zero HasDerivWithinAt.deriv_eq_zero
theorem derivWithin_of_mem (st : t ∈ 𝓝[s] x) (ht : UniqueDiffWithinAt 𝕜 s x)
(h : DifferentiableWithinAt 𝕜 f t x) : derivWithin f s x = derivWithin f t x :=
((DifferentiableWithinAt.hasDerivWithinAt h).mono_of_mem st).derivWithin ht
#align deriv_within_of_mem derivWithin_of_mem
theorem derivWithin_subset (st : s ⊆ t) (ht : UniqueDiffWithinAt 𝕜 s x)
(h : DifferentiableWithinAt 𝕜 f t x) : derivWithin f s x = derivWithin f t x :=
((DifferentiableWithinAt.hasDerivWithinAt h).mono st).derivWithin ht
#align deriv_within_subset derivWithin_subset
theorem derivWithin_congr_set' (y : 𝕜) (h : s =ᶠ[𝓝[{y}ᶜ] x] t) :
derivWithin f s x = derivWithin f t x := by simp only [derivWithin, fderivWithin_congr_set' y h]
#align deriv_within_congr_set' derivWithin_congr_set'
theorem derivWithin_congr_set (h : s =ᶠ[𝓝 x] t) : derivWithin f s x = derivWithin f t x := by
simp only [derivWithin, fderivWithin_congr_set h]
#align deriv_within_congr_set derivWithin_congr_set
@[simp]
theorem derivWithin_univ : derivWithin f univ = deriv f := by
ext
unfold derivWithin deriv
rw [fderivWithin_univ]
#align deriv_within_univ derivWithin_univ
theorem derivWithin_inter (ht : t ∈ 𝓝 x) : derivWithin f (s ∩ t) x = derivWithin f s x := by
unfold derivWithin
rw [fderivWithin_inter ht]
#align deriv_within_inter derivWithin_inter
theorem derivWithin_of_mem_nhds (h : s ∈ 𝓝 x) : derivWithin f s x = deriv f x := by
simp only [derivWithin, deriv, fderivWithin_of_mem_nhds h]
theorem derivWithin_of_isOpen (hs : IsOpen s) (hx : x ∈ s) : derivWithin f s x = deriv f x :=
derivWithin_of_mem_nhds (hs.mem_nhds hx)
#align deriv_within_of_open derivWithin_of_isOpen
lemma deriv_eqOn {f' : 𝕜 → F} (hs : IsOpen s) (hf' : ∀ x ∈ s, HasDerivWithinAt f (f' x) s x) :
s.EqOn (deriv f) f' := fun x hx ↦ by
rw [← derivWithin_of_isOpen hs hx, (hf' _ hx).derivWithin <| hs.uniqueDiffWithinAt hx]
| Mathlib/Analysis/Calculus/Deriv/Basic.lean | 540 | 543 | theorem deriv_mem_iff {f : 𝕜 → F} {s : Set F} {x : 𝕜} :
deriv f x ∈ s ↔
DifferentiableAt 𝕜 f x ∧ deriv f x ∈ s ∨ ¬DifferentiableAt 𝕜 f x ∧ (0 : F) ∈ s := by |
by_cases hx : DifferentiableAt 𝕜 f x <;> simp [deriv_zero_of_not_differentiableAt, *]
|
import Mathlib.MeasureTheory.OuterMeasure.Basic
open Filter Set
open scoped ENNReal
namespace MeasureTheory
variable {α β F : Type*} [FunLike F (Set α) ℝ≥0∞] [OuterMeasureClass F α] {μ : F} {s t : Set α}
def ae (μ : F) : Filter α :=
.ofCountableUnion (μ · = 0) (fun _S hSc ↦ (measure_sUnion_null_iff hSc).2) fun _t ht _s hs ↦
measure_mono_null hs ht
#align measure_theory.measure.ae MeasureTheory.ae
notation3 "∀ᵐ "(...)" ∂"μ", "r:(scoped p => Filter.Eventually p <| MeasureTheory.ae μ) => r
notation3 "∃ᵐ "(...)" ∂"μ", "r:(scoped P => Filter.Frequently P <| MeasureTheory.ae μ) => r
notation:50 f " =ᵐ[" μ:50 "] " g:50 => Filter.EventuallyEq (MeasureTheory.ae μ) f g
notation:50 f " ≤ᵐ[" μ:50 "] " g:50 => Filter.EventuallyLE (MeasureTheory.ae μ) f g
theorem mem_ae_iff {s : Set α} : s ∈ ae μ ↔ μ sᶜ = 0 :=
Iff.rfl
#align measure_theory.mem_ae_iff MeasureTheory.mem_ae_iff
theorem ae_iff {p : α → Prop} : (∀ᵐ a ∂μ, p a) ↔ μ { a | ¬p a } = 0 :=
Iff.rfl
#align measure_theory.ae_iff MeasureTheory.ae_iff
theorem compl_mem_ae_iff {s : Set α} : sᶜ ∈ ae μ ↔ μ s = 0 := by simp only [mem_ae_iff, compl_compl]
#align measure_theory.compl_mem_ae_iff MeasureTheory.compl_mem_ae_iff
theorem frequently_ae_iff {p : α → Prop} : (∃ᵐ a ∂μ, p a) ↔ μ { a | p a } ≠ 0 :=
not_congr compl_mem_ae_iff
#align measure_theory.frequently_ae_iff MeasureTheory.frequently_ae_iff
theorem frequently_ae_mem_iff {s : Set α} : (∃ᵐ a ∂μ, a ∈ s) ↔ μ s ≠ 0 :=
not_congr compl_mem_ae_iff
#align measure_theory.frequently_ae_mem_iff MeasureTheory.frequently_ae_mem_iff
theorem measure_zero_iff_ae_nmem {s : Set α} : μ s = 0 ↔ ∀ᵐ a ∂μ, a ∉ s :=
compl_mem_ae_iff.symm
#align measure_theory.measure_zero_iff_ae_nmem MeasureTheory.measure_zero_iff_ae_nmem
theorem ae_of_all {p : α → Prop} (μ : F) : (∀ a, p a) → ∀ᵐ a ∂μ, p a :=
eventually_of_forall
#align measure_theory.ae_of_all MeasureTheory.ae_of_all
instance instCountableInterFilter : CountableInterFilter (ae μ) := by
unfold ae; infer_instance
#align measure_theory.measure.ae.countable_Inter_filter MeasureTheory.instCountableInterFilter
theorem ae_all_iff {ι : Sort*} [Countable ι] {p : α → ι → Prop} :
(∀ᵐ a ∂μ, ∀ i, p a i) ↔ ∀ i, ∀ᵐ a ∂μ, p a i :=
eventually_countable_forall
#align measure_theory.ae_all_iff MeasureTheory.ae_all_iff
theorem all_ae_of {ι : Sort*} {p : α → ι → Prop} (hp : ∀ᵐ a ∂μ, ∀ i, p a i) (i : ι) :
∀ᵐ a ∂μ, p a i := by
filter_upwards [hp] with a ha using ha i
lemma ae_iff_of_countable [Countable α] {p : α → Prop} : (∀ᵐ x ∂μ, p x) ↔ ∀ x, μ {x} ≠ 0 → p x := by
rw [ae_iff, measure_null_iff_singleton]
exacts [forall_congr' fun _ ↦ not_imp_comm, Set.to_countable _]
theorem ae_ball_iff {ι : Type*} {S : Set ι} (hS : S.Countable) {p : α → ∀ i ∈ S, Prop} :
(∀ᵐ x ∂μ, ∀ i (hi : i ∈ S), p x i hi) ↔ ∀ i (hi : i ∈ S), ∀ᵐ x ∂μ, p x i hi :=
eventually_countable_ball hS
#align measure_theory.ae_ball_iff MeasureTheory.ae_ball_iff
theorem ae_eq_refl (f : α → β) : f =ᵐ[μ] f :=
EventuallyEq.rfl
#align measure_theory.ae_eq_refl MeasureTheory.ae_eq_refl
theorem ae_eq_symm {f g : α → β} (h : f =ᵐ[μ] g) : g =ᵐ[μ] f :=
h.symm
#align measure_theory.ae_eq_symm MeasureTheory.ae_eq_symm
theorem ae_eq_trans {f g h : α → β} (h₁ : f =ᵐ[μ] g) (h₂ : g =ᵐ[μ] h) : f =ᵐ[μ] h :=
h₁.trans h₂
#align measure_theory.ae_eq_trans MeasureTheory.ae_eq_trans
theorem ae_le_of_ae_lt {β : Type*} [Preorder β] {f g : α → β} (h : ∀ᵐ x ∂μ, f x < g x) :
f ≤ᵐ[μ] g :=
h.mono fun _ ↦ le_of_lt
#align measure_theory.ae_le_of_ae_lt MeasureTheory.ae_le_of_ae_lt
@[simp]
theorem ae_eq_empty : s =ᵐ[μ] (∅ : Set α) ↔ μ s = 0 :=
eventuallyEq_empty.trans <| by simp only [ae_iff, Classical.not_not, setOf_mem_eq]
#align measure_theory.ae_eq_empty MeasureTheory.ae_eq_empty
-- Porting note: The priority should be higher than `eventuallyEq_univ`.
@[simp high]
theorem ae_eq_univ : s =ᵐ[μ] (univ : Set α) ↔ μ sᶜ = 0 :=
eventuallyEq_univ
#align measure_theory.ae_eq_univ MeasureTheory.ae_eq_univ
theorem ae_le_set : s ≤ᵐ[μ] t ↔ μ (s \ t) = 0 :=
calc
s ≤ᵐ[μ] t ↔ ∀ᵐ x ∂μ, x ∈ s → x ∈ t := Iff.rfl
_ ↔ μ (s \ t) = 0 := by simp [ae_iff]; rfl
#align measure_theory.ae_le_set MeasureTheory.ae_le_set
theorem ae_le_set_inter {s' t' : Set α} (h : s ≤ᵐ[μ] t) (h' : s' ≤ᵐ[μ] t') :
(s ∩ s' : Set α) ≤ᵐ[μ] (t ∩ t' : Set α) :=
h.inter h'
#align measure_theory.ae_le_set_inter MeasureTheory.ae_le_set_inter
theorem ae_le_set_union {s' t' : Set α} (h : s ≤ᵐ[μ] t) (h' : s' ≤ᵐ[μ] t') :
(s ∪ s' : Set α) ≤ᵐ[μ] (t ∪ t' : Set α) :=
h.union h'
#align measure_theory.ae_le_set_union MeasureTheory.ae_le_set_union
theorem union_ae_eq_right : (s ∪ t : Set α) =ᵐ[μ] t ↔ μ (s \ t) = 0 := by
simp [eventuallyLE_antisymm_iff, ae_le_set, union_diff_right,
diff_eq_empty.2 Set.subset_union_right]
#align measure_theory.union_ae_eq_right MeasureTheory.union_ae_eq_right
theorem diff_ae_eq_self : (s \ t : Set α) =ᵐ[μ] s ↔ μ (s ∩ t) = 0 := by
simp [eventuallyLE_antisymm_iff, ae_le_set, diff_diff_right, diff_diff,
diff_eq_empty.2 Set.subset_union_right]
#align measure_theory.diff_ae_eq_self MeasureTheory.diff_ae_eq_self
theorem diff_null_ae_eq_self (ht : μ t = 0) : (s \ t : Set α) =ᵐ[μ] s :=
diff_ae_eq_self.mpr (measure_mono_null inter_subset_right ht)
#align measure_theory.diff_null_ae_eq_self MeasureTheory.diff_null_ae_eq_self
| Mathlib/MeasureTheory/OuterMeasure/AE.lean | 178 | 179 | theorem ae_eq_set {s t : Set α} : s =ᵐ[μ] t ↔ μ (s \ t) = 0 ∧ μ (t \ s) = 0 := by |
simp [eventuallyLE_antisymm_iff, ae_le_set]
|
import Mathlib.Data.Finsupp.Multiset
import Mathlib.Data.Nat.GCD.BigOperators
import Mathlib.Data.Nat.PrimeFin
import Mathlib.NumberTheory.Padics.PadicVal
import Mathlib.Order.Interval.Finset.Nat
#align_import data.nat.factorization.basic from "leanprover-community/mathlib"@"f694c7dead66f5d4c80f446c796a5aad14707f0e"
-- Workaround for lean4#2038
attribute [-instance] instBEqNat
open Nat Finset List Finsupp
namespace Nat
variable {a b m n p : ℕ}
def factorization (n : ℕ) : ℕ →₀ ℕ where
support := n.primeFactors
toFun p := if p.Prime then padicValNat p n else 0
mem_support_toFun := by simp [not_or]; aesop
#align nat.factorization Nat.factorization
@[simp] lemma support_factorization (n : ℕ) : (factorization n).support = n.primeFactors := rfl
theorem factorization_def (n : ℕ) {p : ℕ} (pp : p.Prime) : n.factorization p = padicValNat p n := by
simpa [factorization] using absurd pp
#align nat.factorization_def Nat.factorization_def
@[simp]
theorem factors_count_eq {n p : ℕ} : n.factors.count p = n.factorization p := by
rcases n.eq_zero_or_pos with (rfl | hn0)
· simp [factorization, count]
if pp : p.Prime then ?_ else
rw [count_eq_zero_of_not_mem (mt prime_of_mem_factors pp)]
simp [factorization, pp]
simp only [factorization_def _ pp]
apply _root_.le_antisymm
· rw [le_padicValNat_iff_replicate_subperm_factors pp hn0.ne']
exact List.le_count_iff_replicate_sublist.mp le_rfl |>.subperm
· rw [← lt_add_one_iff, lt_iff_not_ge, ge_iff_le,
le_padicValNat_iff_replicate_subperm_factors pp hn0.ne']
intro h
have := h.count_le p
simp at this
#align nat.factors_count_eq Nat.factors_count_eq
theorem factorization_eq_factors_multiset (n : ℕ) :
n.factorization = Multiset.toFinsupp (n.factors : Multiset ℕ) := by
ext p
simp
#align nat.factorization_eq_factors_multiset Nat.factorization_eq_factors_multiset
theorem multiplicity_eq_factorization {n p : ℕ} (pp : p.Prime) (hn : n ≠ 0) :
multiplicity p n = n.factorization p := by
simp [factorization, pp, padicValNat_def' pp.ne_one hn.bot_lt]
#align nat.multiplicity_eq_factorization Nat.multiplicity_eq_factorization
@[simp]
theorem factorization_prod_pow_eq_self {n : ℕ} (hn : n ≠ 0) : n.factorization.prod (· ^ ·) = n := by
rw [factorization_eq_factors_multiset n]
simp only [← prod_toMultiset, factorization, Multiset.prod_coe, Multiset.toFinsupp_toMultiset]
exact prod_factors hn
#align nat.factorization_prod_pow_eq_self Nat.factorization_prod_pow_eq_self
theorem eq_of_factorization_eq {a b : ℕ} (ha : a ≠ 0) (hb : b ≠ 0)
(h : ∀ p : ℕ, a.factorization p = b.factorization p) : a = b :=
eq_of_perm_factors ha hb (by simpa only [List.perm_iff_count, factors_count_eq] using h)
#align nat.eq_of_factorization_eq Nat.eq_of_factorization_eq
theorem factorization_inj : Set.InjOn factorization { x : ℕ | x ≠ 0 } := fun a ha b hb h =>
eq_of_factorization_eq ha hb fun p => by simp [h]
#align nat.factorization_inj Nat.factorization_inj
@[simp]
theorem factorization_zero : factorization 0 = 0 := by ext; simp [factorization]
#align nat.factorization_zero Nat.factorization_zero
@[simp]
theorem factorization_one : factorization 1 = 0 := by ext; simp [factorization]
#align nat.factorization_one Nat.factorization_one
#noalign nat.support_factorization
#align nat.factor_iff_mem_factorization Nat.mem_primeFactors_iff_mem_factors
#align nat.prime_of_mem_factorization Nat.prime_of_mem_primeFactors
#align nat.pos_of_mem_factorization Nat.pos_of_mem_primeFactors
#align nat.le_of_mem_factorization Nat.le_of_mem_primeFactors
theorem factorization_eq_zero_iff (n p : ℕ) :
n.factorization p = 0 ↔ ¬p.Prime ∨ ¬p ∣ n ∨ n = 0 := by
simp_rw [← not_mem_support_iff, support_factorization, mem_primeFactors, not_and_or, not_ne_iff]
#align nat.factorization_eq_zero_iff Nat.factorization_eq_zero_iff
@[simp]
theorem factorization_eq_zero_of_non_prime (n : ℕ) {p : ℕ} (hp : ¬p.Prime) :
n.factorization p = 0 := by simp [factorization_eq_zero_iff, hp]
#align nat.factorization_eq_zero_of_non_prime Nat.factorization_eq_zero_of_non_prime
theorem factorization_eq_zero_of_not_dvd {n p : ℕ} (h : ¬p ∣ n) : n.factorization p = 0 := by
simp [factorization_eq_zero_iff, h]
#align nat.factorization_eq_zero_of_not_dvd Nat.factorization_eq_zero_of_not_dvd
theorem factorization_eq_zero_of_lt {n p : ℕ} (h : n < p) : n.factorization p = 0 :=
Finsupp.not_mem_support_iff.mp (mt le_of_mem_primeFactors (not_le_of_lt h))
#align nat.factorization_eq_zero_of_lt Nat.factorization_eq_zero_of_lt
@[simp]
theorem factorization_zero_right (n : ℕ) : n.factorization 0 = 0 :=
factorization_eq_zero_of_non_prime _ not_prime_zero
#align nat.factorization_zero_right Nat.factorization_zero_right
@[simp]
theorem factorization_one_right (n : ℕ) : n.factorization 1 = 0 :=
factorization_eq_zero_of_non_prime _ not_prime_one
#align nat.factorization_one_right Nat.factorization_one_right
theorem dvd_of_factorization_pos {n p : ℕ} (hn : n.factorization p ≠ 0) : p ∣ n :=
dvd_of_mem_factors <| mem_primeFactors_iff_mem_factors.1 <| mem_support_iff.2 hn
#align nat.dvd_of_factorization_pos Nat.dvd_of_factorization_pos
theorem Prime.factorization_pos_of_dvd {n p : ℕ} (hp : p.Prime) (hn : n ≠ 0) (h : p ∣ n) :
0 < n.factorization p := by
rwa [← factors_count_eq, count_pos_iff_mem, mem_factors_iff_dvd hn hp]
#align nat.prime.factorization_pos_of_dvd Nat.Prime.factorization_pos_of_dvd
theorem factorization_eq_zero_of_remainder {p r : ℕ} (i : ℕ) (hr : ¬p ∣ r) :
(p * i + r).factorization p = 0 := by
apply factorization_eq_zero_of_not_dvd
rwa [← Nat.dvd_add_iff_right (Dvd.intro i rfl)]
#align nat.factorization_eq_zero_of_remainder Nat.factorization_eq_zero_of_remainder
theorem factorization_eq_zero_iff_remainder {p r : ℕ} (i : ℕ) (pp : p.Prime) (hr0 : r ≠ 0) :
¬p ∣ r ↔ (p * i + r).factorization p = 0 := by
refine ⟨factorization_eq_zero_of_remainder i, fun h => ?_⟩
rw [factorization_eq_zero_iff] at h
contrapose! h
refine ⟨pp, ?_, ?_⟩
· rwa [← Nat.dvd_add_iff_right (dvd_mul_right p i)]
· contrapose! hr0
exact (add_eq_zero_iff.mp hr0).2
#align nat.factorization_eq_zero_iff_remainder Nat.factorization_eq_zero_iff_remainder
theorem factorization_eq_zero_iff' (n : ℕ) : n.factorization = 0 ↔ n = 0 ∨ n = 1 := by
rw [factorization_eq_factors_multiset n]
simp [factorization, AddEquiv.map_eq_zero_iff, Multiset.coe_eq_zero]
#align nat.factorization_eq_zero_iff' Nat.factorization_eq_zero_iff'
@[simp]
theorem factorization_mul {a b : ℕ} (ha : a ≠ 0) (hb : b ≠ 0) :
(a * b).factorization = a.factorization + b.factorization := by
ext p
simp only [add_apply, ← factors_count_eq, perm_iff_count.mp (perm_factors_mul ha hb) p,
count_append]
#align nat.factorization_mul Nat.factorization_mul
#align nat.factorization_mul_support Nat.primeFactors_mul
lemma prod_factorization_eq_prod_primeFactors {β : Type*} [CommMonoid β] (f : ℕ → ℕ → β) :
n.factorization.prod f = ∏ p ∈ n.primeFactors, f p (n.factorization p) := rfl
#align nat.prod_factorization_eq_prod_factors Nat.prod_factorization_eq_prod_primeFactors
lemma prod_primeFactors_prod_factorization {β : Type*} [CommMonoid β] (f : ℕ → β) :
∏ p ∈ n.primeFactors, f p = n.factorization.prod (fun p _ ↦ f p) := rfl
theorem factorization_prod {α : Type*} {S : Finset α} {g : α → ℕ} (hS : ∀ x ∈ S, g x ≠ 0) :
(S.prod g).factorization = S.sum fun x => (g x).factorization := by
classical
ext p
refine Finset.induction_on' S ?_ ?_
· simp
· intro x T hxS hTS hxT IH
have hT : T.prod g ≠ 0 := prod_ne_zero_iff.mpr fun x hx => hS x (hTS hx)
simp [prod_insert hxT, sum_insert hxT, ← IH, factorization_mul (hS x hxS) hT]
#align nat.factorization_prod Nat.factorization_prod
@[simp]
theorem factorization_pow (n k : ℕ) : factorization (n ^ k) = k • n.factorization := by
induction' k with k ih; · simp
rcases eq_or_ne n 0 with (rfl | hn)
· simp
rw [Nat.pow_succ, mul_comm, factorization_mul hn (pow_ne_zero _ hn), ih,
add_smul, one_smul, add_comm]
#align nat.factorization_pow Nat.factorization_pow
@[simp]
protected theorem Prime.factorization {p : ℕ} (hp : Prime p) : p.factorization = single p 1 := by
ext q
rw [← factors_count_eq, factors_prime hp, single_apply, count_singleton', if_congr eq_comm] <;>
rfl
#align nat.prime.factorization Nat.Prime.factorization
@[simp]
theorem Prime.factorization_self {p : ℕ} (hp : Prime p) : p.factorization p = 1 := by simp [hp]
#align nat.prime.factorization_self Nat.Prime.factorization_self
theorem Prime.factorization_pow {p k : ℕ} (hp : Prime p) : (p ^ k).factorization = single p k := by
simp [hp]
#align nat.prime.factorization_pow Nat.Prime.factorization_pow
| Mathlib/Data/Nat/Factorization/Basic.lean | 262 | 266 | theorem eq_pow_of_factorization_eq_single {n p k : ℕ} (hn : n ≠ 0)
(h : n.factorization = Finsupp.single p k) : n = p ^ k := by |
-- Porting note: explicitly added `Finsupp.prod_single_index`
rw [← Nat.factorization_prod_pow_eq_self hn, h, Finsupp.prod_single_index]
simp
|
import Mathlib.Analysis.SpecialFunctions.Exp
import Mathlib.Tactic.Positivity.Core
import Mathlib.Algebra.Ring.NegOnePow
#align_import analysis.special_functions.trigonometric.basic from "leanprover-community/mathlib"@"2c1d8ca2812b64f88992a5294ea3dba144755cd1"
noncomputable section
open scoped Classical
open Topology Filter Set
namespace Real
open Real
@[simp]
theorem sin_pi : sin π = 0 := by
rw [← mul_div_cancel_left₀ π (two_ne_zero' ℝ), two_mul, add_div, sin_add, cos_pi_div_two]; simp
#align real.sin_pi Real.sin_pi
@[simp]
theorem cos_pi : cos π = -1 := by
rw [← mul_div_cancel_left₀ π (two_ne_zero' ℝ), mul_div_assoc, cos_two_mul, cos_pi_div_two]
norm_num
#align real.cos_pi Real.cos_pi
@[simp]
theorem sin_two_pi : sin (2 * π) = 0 := by simp [two_mul, sin_add]
#align real.sin_two_pi Real.sin_two_pi
@[simp]
theorem cos_two_pi : cos (2 * π) = 1 := by simp [two_mul, cos_add]
#align real.cos_two_pi Real.cos_two_pi
theorem sin_antiperiodic : Function.Antiperiodic sin π := by simp [sin_add]
#align real.sin_antiperiodic Real.sin_antiperiodic
theorem sin_periodic : Function.Periodic sin (2 * π) :=
sin_antiperiodic.periodic_two_mul
#align real.sin_periodic Real.sin_periodic
@[simp]
theorem sin_add_pi (x : ℝ) : sin (x + π) = -sin x :=
sin_antiperiodic x
#align real.sin_add_pi Real.sin_add_pi
@[simp]
theorem sin_add_two_pi (x : ℝ) : sin (x + 2 * π) = sin x :=
sin_periodic x
#align real.sin_add_two_pi Real.sin_add_two_pi
@[simp]
theorem sin_sub_pi (x : ℝ) : sin (x - π) = -sin x :=
sin_antiperiodic.sub_eq x
#align real.sin_sub_pi Real.sin_sub_pi
@[simp]
theorem sin_sub_two_pi (x : ℝ) : sin (x - 2 * π) = sin x :=
sin_periodic.sub_eq x
#align real.sin_sub_two_pi Real.sin_sub_two_pi
@[simp]
theorem sin_pi_sub (x : ℝ) : sin (π - x) = sin x :=
neg_neg (sin x) ▸ sin_neg x ▸ sin_antiperiodic.sub_eq'
#align real.sin_pi_sub Real.sin_pi_sub
@[simp]
theorem sin_two_pi_sub (x : ℝ) : sin (2 * π - x) = -sin x :=
sin_neg x ▸ sin_periodic.sub_eq'
#align real.sin_two_pi_sub Real.sin_two_pi_sub
@[simp]
theorem sin_nat_mul_pi (n : ℕ) : sin (n * π) = 0 :=
sin_antiperiodic.nat_mul_eq_of_eq_zero sin_zero n
#align real.sin_nat_mul_pi Real.sin_nat_mul_pi
@[simp]
theorem sin_int_mul_pi (n : ℤ) : sin (n * π) = 0 :=
sin_antiperiodic.int_mul_eq_of_eq_zero sin_zero n
#align real.sin_int_mul_pi Real.sin_int_mul_pi
@[simp]
theorem sin_add_nat_mul_two_pi (x : ℝ) (n : ℕ) : sin (x + n * (2 * π)) = sin x :=
sin_periodic.nat_mul n x
#align real.sin_add_nat_mul_two_pi Real.sin_add_nat_mul_two_pi
@[simp]
theorem sin_add_int_mul_two_pi (x : ℝ) (n : ℤ) : sin (x + n * (2 * π)) = sin x :=
sin_periodic.int_mul n x
#align real.sin_add_int_mul_two_pi Real.sin_add_int_mul_two_pi
@[simp]
theorem sin_sub_nat_mul_two_pi (x : ℝ) (n : ℕ) : sin (x - n * (2 * π)) = sin x :=
sin_periodic.sub_nat_mul_eq n
#align real.sin_sub_nat_mul_two_pi Real.sin_sub_nat_mul_two_pi
@[simp]
theorem sin_sub_int_mul_two_pi (x : ℝ) (n : ℤ) : sin (x - n * (2 * π)) = sin x :=
sin_periodic.sub_int_mul_eq n
#align real.sin_sub_int_mul_two_pi Real.sin_sub_int_mul_two_pi
@[simp]
theorem sin_nat_mul_two_pi_sub (x : ℝ) (n : ℕ) : sin (n * (2 * π) - x) = -sin x :=
sin_neg x ▸ sin_periodic.nat_mul_sub_eq n
#align real.sin_nat_mul_two_pi_sub Real.sin_nat_mul_two_pi_sub
@[simp]
theorem sin_int_mul_two_pi_sub (x : ℝ) (n : ℤ) : sin (n * (2 * π) - x) = -sin x :=
sin_neg x ▸ sin_periodic.int_mul_sub_eq n
#align real.sin_int_mul_two_pi_sub Real.sin_int_mul_two_pi_sub
theorem sin_add_int_mul_pi (x : ℝ) (n : ℤ) : sin (x + n * π) = (-1) ^ n * sin x :=
n.coe_negOnePow ℝ ▸ sin_antiperiodic.add_int_mul_eq n
theorem sin_add_nat_mul_pi (x : ℝ) (n : ℕ) : sin (x + n * π) = (-1) ^ n * sin x :=
sin_antiperiodic.add_nat_mul_eq n
theorem sin_sub_int_mul_pi (x : ℝ) (n : ℤ) : sin (x - n * π) = (-1) ^ n * sin x :=
n.coe_negOnePow ℝ ▸ sin_antiperiodic.sub_int_mul_eq n
theorem sin_sub_nat_mul_pi (x : ℝ) (n : ℕ) : sin (x - n * π) = (-1) ^ n * sin x :=
sin_antiperiodic.sub_nat_mul_eq n
theorem sin_int_mul_pi_sub (x : ℝ) (n : ℤ) : sin (n * π - x) = -((-1) ^ n * sin x) := by
simpa only [sin_neg, mul_neg, Int.coe_negOnePow] using sin_antiperiodic.int_mul_sub_eq n
theorem sin_nat_mul_pi_sub (x : ℝ) (n : ℕ) : sin (n * π - x) = -((-1) ^ n * sin x) := by
simpa only [sin_neg, mul_neg] using sin_antiperiodic.nat_mul_sub_eq n
theorem cos_antiperiodic : Function.Antiperiodic cos π := by simp [cos_add]
#align real.cos_antiperiodic Real.cos_antiperiodic
theorem cos_periodic : Function.Periodic cos (2 * π) :=
cos_antiperiodic.periodic_two_mul
#align real.cos_periodic Real.cos_periodic
@[simp]
theorem cos_add_pi (x : ℝ) : cos (x + π) = -cos x :=
cos_antiperiodic x
#align real.cos_add_pi Real.cos_add_pi
@[simp]
theorem cos_add_two_pi (x : ℝ) : cos (x + 2 * π) = cos x :=
cos_periodic x
#align real.cos_add_two_pi Real.cos_add_two_pi
@[simp]
theorem cos_sub_pi (x : ℝ) : cos (x - π) = -cos x :=
cos_antiperiodic.sub_eq x
#align real.cos_sub_pi Real.cos_sub_pi
@[simp]
theorem cos_sub_two_pi (x : ℝ) : cos (x - 2 * π) = cos x :=
cos_periodic.sub_eq x
#align real.cos_sub_two_pi Real.cos_sub_two_pi
@[simp]
theorem cos_pi_sub (x : ℝ) : cos (π - x) = -cos x :=
cos_neg x ▸ cos_antiperiodic.sub_eq'
#align real.cos_pi_sub Real.cos_pi_sub
@[simp]
theorem cos_two_pi_sub (x : ℝ) : cos (2 * π - x) = cos x :=
cos_neg x ▸ cos_periodic.sub_eq'
#align real.cos_two_pi_sub Real.cos_two_pi_sub
@[simp]
theorem cos_nat_mul_two_pi (n : ℕ) : cos (n * (2 * π)) = 1 :=
(cos_periodic.nat_mul_eq n).trans cos_zero
#align real.cos_nat_mul_two_pi Real.cos_nat_mul_two_pi
@[simp]
theorem cos_int_mul_two_pi (n : ℤ) : cos (n * (2 * π)) = 1 :=
(cos_periodic.int_mul_eq n).trans cos_zero
#align real.cos_int_mul_two_pi Real.cos_int_mul_two_pi
@[simp]
theorem cos_add_nat_mul_two_pi (x : ℝ) (n : ℕ) : cos (x + n * (2 * π)) = cos x :=
cos_periodic.nat_mul n x
#align real.cos_add_nat_mul_two_pi Real.cos_add_nat_mul_two_pi
@[simp]
theorem cos_add_int_mul_two_pi (x : ℝ) (n : ℤ) : cos (x + n * (2 * π)) = cos x :=
cos_periodic.int_mul n x
#align real.cos_add_int_mul_two_pi Real.cos_add_int_mul_two_pi
@[simp]
theorem cos_sub_nat_mul_two_pi (x : ℝ) (n : ℕ) : cos (x - n * (2 * π)) = cos x :=
cos_periodic.sub_nat_mul_eq n
#align real.cos_sub_nat_mul_two_pi Real.cos_sub_nat_mul_two_pi
@[simp]
theorem cos_sub_int_mul_two_pi (x : ℝ) (n : ℤ) : cos (x - n * (2 * π)) = cos x :=
cos_periodic.sub_int_mul_eq n
#align real.cos_sub_int_mul_two_pi Real.cos_sub_int_mul_two_pi
@[simp]
theorem cos_nat_mul_two_pi_sub (x : ℝ) (n : ℕ) : cos (n * (2 * π) - x) = cos x :=
cos_neg x ▸ cos_periodic.nat_mul_sub_eq n
#align real.cos_nat_mul_two_pi_sub Real.cos_nat_mul_two_pi_sub
@[simp]
theorem cos_int_mul_two_pi_sub (x : ℝ) (n : ℤ) : cos (n * (2 * π) - x) = cos x :=
cos_neg x ▸ cos_periodic.int_mul_sub_eq n
#align real.cos_int_mul_two_pi_sub Real.cos_int_mul_two_pi_sub
theorem cos_add_int_mul_pi (x : ℝ) (n : ℤ) : cos (x + n * π) = (-1) ^ n * cos x :=
n.coe_negOnePow ℝ ▸ cos_antiperiodic.add_int_mul_eq n
theorem cos_add_nat_mul_pi (x : ℝ) (n : ℕ) : cos (x + n * π) = (-1) ^ n * cos x :=
cos_antiperiodic.add_nat_mul_eq n
theorem cos_sub_int_mul_pi (x : ℝ) (n : ℤ) : cos (x - n * π) = (-1) ^ n * cos x :=
n.coe_negOnePow ℝ ▸ cos_antiperiodic.sub_int_mul_eq n
theorem cos_sub_nat_mul_pi (x : ℝ) (n : ℕ) : cos (x - n * π) = (-1) ^ n * cos x :=
cos_antiperiodic.sub_nat_mul_eq n
theorem cos_int_mul_pi_sub (x : ℝ) (n : ℤ) : cos (n * π - x) = (-1) ^ n * cos x :=
n.coe_negOnePow ℝ ▸ cos_neg x ▸ cos_antiperiodic.int_mul_sub_eq n
theorem cos_nat_mul_pi_sub (x : ℝ) (n : ℕ) : cos (n * π - x) = (-1) ^ n * cos x :=
cos_neg x ▸ cos_antiperiodic.nat_mul_sub_eq n
-- Porting note (#10618): was @[simp], but simp can prove it
theorem cos_nat_mul_two_pi_add_pi (n : ℕ) : cos (n * (2 * π) + π) = -1 := by
simpa only [cos_zero] using (cos_periodic.nat_mul n).add_antiperiod_eq cos_antiperiodic
#align real.cos_nat_mul_two_pi_add_pi Real.cos_nat_mul_two_pi_add_pi
-- Porting note (#10618): was @[simp], but simp can prove it
theorem cos_int_mul_two_pi_add_pi (n : ℤ) : cos (n * (2 * π) + π) = -1 := by
simpa only [cos_zero] using (cos_periodic.int_mul n).add_antiperiod_eq cos_antiperiodic
#align real.cos_int_mul_two_pi_add_pi Real.cos_int_mul_two_pi_add_pi
-- Porting note (#10618): was @[simp], but simp can prove it
theorem cos_nat_mul_two_pi_sub_pi (n : ℕ) : cos (n * (2 * π) - π) = -1 := by
simpa only [cos_zero] using (cos_periodic.nat_mul n).sub_antiperiod_eq cos_antiperiodic
#align real.cos_nat_mul_two_pi_sub_pi Real.cos_nat_mul_two_pi_sub_pi
-- Porting note (#10618): was @[simp], but simp can prove it
theorem cos_int_mul_two_pi_sub_pi (n : ℤ) : cos (n * (2 * π) - π) = -1 := by
simpa only [cos_zero] using (cos_periodic.int_mul n).sub_antiperiod_eq cos_antiperiodic
#align real.cos_int_mul_two_pi_sub_pi Real.cos_int_mul_two_pi_sub_pi
theorem sin_pos_of_pos_of_lt_pi {x : ℝ} (h0x : 0 < x) (hxp : x < π) : 0 < sin x :=
if hx2 : x ≤ 2 then sin_pos_of_pos_of_le_two h0x hx2
else
have : (2 : ℝ) + 2 = 4 := by norm_num
have : π - x ≤ 2 :=
sub_le_iff_le_add.2 (le_trans pi_le_four (this ▸ add_le_add_left (le_of_not_ge hx2) _))
sin_pi_sub x ▸ sin_pos_of_pos_of_le_two (sub_pos.2 hxp) this
#align real.sin_pos_of_pos_of_lt_pi Real.sin_pos_of_pos_of_lt_pi
theorem sin_pos_of_mem_Ioo {x : ℝ} (hx : x ∈ Ioo 0 π) : 0 < sin x :=
sin_pos_of_pos_of_lt_pi hx.1 hx.2
#align real.sin_pos_of_mem_Ioo Real.sin_pos_of_mem_Ioo
theorem sin_nonneg_of_mem_Icc {x : ℝ} (hx : x ∈ Icc 0 π) : 0 ≤ sin x := by
rw [← closure_Ioo pi_ne_zero.symm] at hx
exact
closure_lt_subset_le continuous_const continuous_sin
(closure_mono (fun y => sin_pos_of_mem_Ioo) hx)
#align real.sin_nonneg_of_mem_Icc Real.sin_nonneg_of_mem_Icc
theorem sin_nonneg_of_nonneg_of_le_pi {x : ℝ} (h0x : 0 ≤ x) (hxp : x ≤ π) : 0 ≤ sin x :=
sin_nonneg_of_mem_Icc ⟨h0x, hxp⟩
#align real.sin_nonneg_of_nonneg_of_le_pi Real.sin_nonneg_of_nonneg_of_le_pi
theorem sin_neg_of_neg_of_neg_pi_lt {x : ℝ} (hx0 : x < 0) (hpx : -π < x) : sin x < 0 :=
neg_pos.1 <| sin_neg x ▸ sin_pos_of_pos_of_lt_pi (neg_pos.2 hx0) (neg_lt.1 hpx)
#align real.sin_neg_of_neg_of_neg_pi_lt Real.sin_neg_of_neg_of_neg_pi_lt
theorem sin_nonpos_of_nonnpos_of_neg_pi_le {x : ℝ} (hx0 : x ≤ 0) (hpx : -π ≤ x) : sin x ≤ 0 :=
neg_nonneg.1 <| sin_neg x ▸ sin_nonneg_of_nonneg_of_le_pi (neg_nonneg.2 hx0) (neg_le.1 hpx)
#align real.sin_nonpos_of_nonnpos_of_neg_pi_le Real.sin_nonpos_of_nonnpos_of_neg_pi_le
@[simp]
theorem sin_pi_div_two : sin (π / 2) = 1 :=
have : sin (π / 2) = 1 ∨ sin (π / 2) = -1 := by
simpa [sq, mul_self_eq_one_iff] using sin_sq_add_cos_sq (π / 2)
this.resolve_right fun h =>
show ¬(0 : ℝ) < -1 by norm_num <|
h ▸ sin_pos_of_pos_of_lt_pi pi_div_two_pos (half_lt_self pi_pos)
#align real.sin_pi_div_two Real.sin_pi_div_two
theorem sin_add_pi_div_two (x : ℝ) : sin (x + π / 2) = cos x := by simp [sin_add]
#align real.sin_add_pi_div_two Real.sin_add_pi_div_two
theorem sin_sub_pi_div_two (x : ℝ) : sin (x - π / 2) = -cos x := by simp [sub_eq_add_neg, sin_add]
#align real.sin_sub_pi_div_two Real.sin_sub_pi_div_two
theorem sin_pi_div_two_sub (x : ℝ) : sin (π / 2 - x) = cos x := by simp [sub_eq_add_neg, sin_add]
#align real.sin_pi_div_two_sub Real.sin_pi_div_two_sub
theorem cos_add_pi_div_two (x : ℝ) : cos (x + π / 2) = -sin x := by simp [cos_add]
#align real.cos_add_pi_div_two Real.cos_add_pi_div_two
theorem cos_sub_pi_div_two (x : ℝ) : cos (x - π / 2) = sin x := by simp [sub_eq_add_neg, cos_add]
#align real.cos_sub_pi_div_two Real.cos_sub_pi_div_two
theorem cos_pi_div_two_sub (x : ℝ) : cos (π / 2 - x) = sin x := by
rw [← cos_neg, neg_sub, cos_sub_pi_div_two]
#align real.cos_pi_div_two_sub Real.cos_pi_div_two_sub
theorem cos_pos_of_mem_Ioo {x : ℝ} (hx : x ∈ Ioo (-(π / 2)) (π / 2)) : 0 < cos x :=
sin_add_pi_div_two x ▸ sin_pos_of_mem_Ioo ⟨by linarith [hx.1], by linarith [hx.2]⟩
#align real.cos_pos_of_mem_Ioo Real.cos_pos_of_mem_Ioo
theorem cos_nonneg_of_mem_Icc {x : ℝ} (hx : x ∈ Icc (-(π / 2)) (π / 2)) : 0 ≤ cos x :=
sin_add_pi_div_two x ▸ sin_nonneg_of_mem_Icc ⟨by linarith [hx.1], by linarith [hx.2]⟩
#align real.cos_nonneg_of_mem_Icc Real.cos_nonneg_of_mem_Icc
theorem cos_nonneg_of_neg_pi_div_two_le_of_le {x : ℝ} (hl : -(π / 2) ≤ x) (hu : x ≤ π / 2) :
0 ≤ cos x :=
cos_nonneg_of_mem_Icc ⟨hl, hu⟩
#align real.cos_nonneg_of_neg_pi_div_two_le_of_le Real.cos_nonneg_of_neg_pi_div_two_le_of_le
theorem cos_neg_of_pi_div_two_lt_of_lt {x : ℝ} (hx₁ : π / 2 < x) (hx₂ : x < π + π / 2) :
cos x < 0 :=
neg_pos.1 <| cos_pi_sub x ▸ cos_pos_of_mem_Ioo ⟨by linarith, by linarith⟩
#align real.cos_neg_of_pi_div_two_lt_of_lt Real.cos_neg_of_pi_div_two_lt_of_lt
theorem cos_nonpos_of_pi_div_two_le_of_le {x : ℝ} (hx₁ : π / 2 ≤ x) (hx₂ : x ≤ π + π / 2) :
cos x ≤ 0 :=
neg_nonneg.1 <| cos_pi_sub x ▸ cos_nonneg_of_mem_Icc ⟨by linarith, by linarith⟩
#align real.cos_nonpos_of_pi_div_two_le_of_le Real.cos_nonpos_of_pi_div_two_le_of_le
theorem sin_eq_sqrt_one_sub_cos_sq {x : ℝ} (hl : 0 ≤ x) (hu : x ≤ π) :
sin x = √(1 - cos x ^ 2) := by
rw [← abs_sin_eq_sqrt_one_sub_cos_sq, abs_of_nonneg (sin_nonneg_of_nonneg_of_le_pi hl hu)]
#align real.sin_eq_sqrt_one_sub_cos_sq Real.sin_eq_sqrt_one_sub_cos_sq
theorem cos_eq_sqrt_one_sub_sin_sq {x : ℝ} (hl : -(π / 2) ≤ x) (hu : x ≤ π / 2) :
cos x = √(1 - sin x ^ 2) := by
rw [← abs_cos_eq_sqrt_one_sub_sin_sq, abs_of_nonneg (cos_nonneg_of_mem_Icc ⟨hl, hu⟩)]
#align real.cos_eq_sqrt_one_sub_sin_sq Real.cos_eq_sqrt_one_sub_sin_sq
lemma cos_half {x : ℝ} (hl : -π ≤ x) (hr : x ≤ π) : cos (x / 2) = sqrt ((1 + cos x) / 2) := by
have : 0 ≤ cos (x / 2) := cos_nonneg_of_mem_Icc <| by constructor <;> linarith
rw [← sqrt_sq this, cos_sq, add_div, two_mul, add_halves]
lemma abs_sin_half (x : ℝ) : |sin (x / 2)| = sqrt ((1 - cos x) / 2) := by
rw [← sqrt_sq_eq_abs, sin_sq_eq_half_sub, two_mul, add_halves, sub_div]
lemma sin_half_eq_sqrt {x : ℝ} (hl : 0 ≤ x) (hr : x ≤ 2 * π) :
sin (x / 2) = sqrt ((1 - cos x) / 2) := by
rw [← abs_sin_half, abs_of_nonneg]
apply sin_nonneg_of_nonneg_of_le_pi <;> linarith
lemma sin_half_eq_neg_sqrt {x : ℝ} (hl : -(2 * π) ≤ x) (hr : x ≤ 0) :
sin (x / 2) = -sqrt ((1 - cos x) / 2) := by
rw [← abs_sin_half, abs_of_nonpos, neg_neg]
apply sin_nonpos_of_nonnpos_of_neg_pi_le <;> linarith
theorem sin_eq_zero_iff_of_lt_of_lt {x : ℝ} (hx₁ : -π < x) (hx₂ : x < π) : sin x = 0 ↔ x = 0 :=
⟨fun h => by
contrapose! h
cases h.lt_or_lt with
| inl h0 => exact (sin_neg_of_neg_of_neg_pi_lt h0 hx₁).ne
| inr h0 => exact (sin_pos_of_pos_of_lt_pi h0 hx₂).ne',
fun h => by simp [h]⟩
#align real.sin_eq_zero_iff_of_lt_of_lt Real.sin_eq_zero_iff_of_lt_of_lt
theorem sin_eq_zero_iff {x : ℝ} : sin x = 0 ↔ ∃ n : ℤ, (n : ℝ) * π = x :=
⟨fun h =>
⟨⌊x / π⌋,
le_antisymm (sub_nonneg.1 (Int.sub_floor_div_mul_nonneg _ pi_pos))
(sub_nonpos.1 <|
le_of_not_gt fun h₃ =>
(sin_pos_of_pos_of_lt_pi h₃ (Int.sub_floor_div_mul_lt _ pi_pos)).ne
(by simp [sub_eq_add_neg, sin_add, h, sin_int_mul_pi]))⟩,
fun ⟨n, hn⟩ => hn ▸ sin_int_mul_pi _⟩
#align real.sin_eq_zero_iff Real.sin_eq_zero_iff
theorem sin_ne_zero_iff {x : ℝ} : sin x ≠ 0 ↔ ∀ n : ℤ, (n : ℝ) * π ≠ x := by
rw [← not_exists, not_iff_not, sin_eq_zero_iff]
#align real.sin_ne_zero_iff Real.sin_ne_zero_iff
theorem sin_eq_zero_iff_cos_eq {x : ℝ} : sin x = 0 ↔ cos x = 1 ∨ cos x = -1 := by
rw [← mul_self_eq_one_iff, ← sin_sq_add_cos_sq x, sq, sq, ← sub_eq_iff_eq_add, sub_self]
exact ⟨fun h => by rw [h, mul_zero], eq_zero_of_mul_self_eq_zero ∘ Eq.symm⟩
#align real.sin_eq_zero_iff_cos_eq Real.sin_eq_zero_iff_cos_eq
theorem cos_eq_one_iff (x : ℝ) : cos x = 1 ↔ ∃ n : ℤ, (n : ℝ) * (2 * π) = x :=
⟨fun h =>
let ⟨n, hn⟩ := sin_eq_zero_iff.1 (sin_eq_zero_iff_cos_eq.2 (Or.inl h))
⟨n / 2,
(Int.emod_two_eq_zero_or_one n).elim
(fun hn0 => by
rwa [← mul_assoc, ← @Int.cast_two ℝ, ← Int.cast_mul,
Int.ediv_mul_cancel ((Int.dvd_iff_emod_eq_zero _ _).2 hn0)])
fun hn1 => by
rw [← Int.emod_add_ediv n 2, hn1, Int.cast_add, Int.cast_one, add_mul, one_mul, add_comm,
mul_comm (2 : ℤ), Int.cast_mul, mul_assoc, Int.cast_two] at hn
rw [← hn, cos_int_mul_two_pi_add_pi] at h
exact absurd h (by norm_num)⟩,
fun ⟨n, hn⟩ => hn ▸ cos_int_mul_two_pi _⟩
#align real.cos_eq_one_iff Real.cos_eq_one_iff
theorem cos_eq_one_iff_of_lt_of_lt {x : ℝ} (hx₁ : -(2 * π) < x) (hx₂ : x < 2 * π) :
cos x = 1 ↔ x = 0 :=
⟨fun h => by
rcases (cos_eq_one_iff _).1 h with ⟨n, rfl⟩
rw [mul_lt_iff_lt_one_left two_pi_pos] at hx₂
rw [neg_lt, neg_mul_eq_neg_mul, mul_lt_iff_lt_one_left two_pi_pos] at hx₁
norm_cast at hx₁ hx₂
obtain rfl : n = 0 := le_antisymm (by omega) (by omega)
simp, fun h => by simp [h]⟩
#align real.cos_eq_one_iff_of_lt_of_lt Real.cos_eq_one_iff_of_lt_of_lt
theorem sin_lt_sin_of_lt_of_le_pi_div_two {x y : ℝ} (hx₁ : -(π / 2) ≤ x) (hy₂ : y ≤ π / 2)
(hxy : x < y) : sin x < sin y := by
rw [← sub_pos, sin_sub_sin]
have : 0 < sin ((y - x) / 2) := by apply sin_pos_of_pos_of_lt_pi <;> linarith
have : 0 < cos ((y + x) / 2) := by refine cos_pos_of_mem_Ioo ⟨?_, ?_⟩ <;> linarith
positivity
#align real.sin_lt_sin_of_lt_of_le_pi_div_two Real.sin_lt_sin_of_lt_of_le_pi_div_two
theorem strictMonoOn_sin : StrictMonoOn sin (Icc (-(π / 2)) (π / 2)) := fun _ hx _ hy hxy =>
sin_lt_sin_of_lt_of_le_pi_div_two hx.1 hy.2 hxy
#align real.strict_mono_on_sin Real.strictMonoOn_sin
theorem cos_lt_cos_of_nonneg_of_le_pi {x y : ℝ} (hx₁ : 0 ≤ x) (hy₂ : y ≤ π) (hxy : x < y) :
cos y < cos x := by
rw [← sin_pi_div_two_sub, ← sin_pi_div_two_sub]
apply sin_lt_sin_of_lt_of_le_pi_div_two <;> linarith
#align real.cos_lt_cos_of_nonneg_of_le_pi Real.cos_lt_cos_of_nonneg_of_le_pi
theorem cos_lt_cos_of_nonneg_of_le_pi_div_two {x y : ℝ} (hx₁ : 0 ≤ x) (hy₂ : y ≤ π / 2)
(hxy : x < y) : cos y < cos x :=
cos_lt_cos_of_nonneg_of_le_pi hx₁ (hy₂.trans (by linarith)) hxy
#align real.cos_lt_cos_of_nonneg_of_le_pi_div_two Real.cos_lt_cos_of_nonneg_of_le_pi_div_two
theorem strictAntiOn_cos : StrictAntiOn cos (Icc 0 π) := fun _ hx _ hy hxy =>
cos_lt_cos_of_nonneg_of_le_pi hx.1 hy.2 hxy
#align real.strict_anti_on_cos Real.strictAntiOn_cos
theorem cos_le_cos_of_nonneg_of_le_pi {x y : ℝ} (hx₁ : 0 ≤ x) (hy₂ : y ≤ π) (hxy : x ≤ y) :
cos y ≤ cos x :=
(strictAntiOn_cos.le_iff_le ⟨hx₁.trans hxy, hy₂⟩ ⟨hx₁, hxy.trans hy₂⟩).2 hxy
#align real.cos_le_cos_of_nonneg_of_le_pi Real.cos_le_cos_of_nonneg_of_le_pi
theorem sin_le_sin_of_le_of_le_pi_div_two {x y : ℝ} (hx₁ : -(π / 2) ≤ x) (hy₂ : y ≤ π / 2)
(hxy : x ≤ y) : sin x ≤ sin y :=
(strictMonoOn_sin.le_iff_le ⟨hx₁, hxy.trans hy₂⟩ ⟨hx₁.trans hxy, hy₂⟩).2 hxy
#align real.sin_le_sin_of_le_of_le_pi_div_two Real.sin_le_sin_of_le_of_le_pi_div_two
theorem injOn_sin : InjOn sin (Icc (-(π / 2)) (π / 2)) :=
strictMonoOn_sin.injOn
#align real.inj_on_sin Real.injOn_sin
theorem injOn_cos : InjOn cos (Icc 0 π) :=
strictAntiOn_cos.injOn
#align real.inj_on_cos Real.injOn_cos
theorem surjOn_sin : SurjOn sin (Icc (-(π / 2)) (π / 2)) (Icc (-1) 1) := by
simpa only [sin_neg, sin_pi_div_two] using
intermediate_value_Icc (neg_le_self pi_div_two_pos.le) continuous_sin.continuousOn
#align real.surj_on_sin Real.surjOn_sin
theorem surjOn_cos : SurjOn cos (Icc 0 π) (Icc (-1) 1) := by
simpa only [cos_zero, cos_pi] using intermediate_value_Icc' pi_pos.le continuous_cos.continuousOn
#align real.surj_on_cos Real.surjOn_cos
theorem sin_mem_Icc (x : ℝ) : sin x ∈ Icc (-1 : ℝ) 1 :=
⟨neg_one_le_sin x, sin_le_one x⟩
#align real.sin_mem_Icc Real.sin_mem_Icc
theorem cos_mem_Icc (x : ℝ) : cos x ∈ Icc (-1 : ℝ) 1 :=
⟨neg_one_le_cos x, cos_le_one x⟩
#align real.cos_mem_Icc Real.cos_mem_Icc
theorem mapsTo_sin (s : Set ℝ) : MapsTo sin s (Icc (-1 : ℝ) 1) := fun x _ => sin_mem_Icc x
#align real.maps_to_sin Real.mapsTo_sin
theorem mapsTo_cos (s : Set ℝ) : MapsTo cos s (Icc (-1 : ℝ) 1) := fun x _ => cos_mem_Icc x
#align real.maps_to_cos Real.mapsTo_cos
theorem bijOn_sin : BijOn sin (Icc (-(π / 2)) (π / 2)) (Icc (-1) 1) :=
⟨mapsTo_sin _, injOn_sin, surjOn_sin⟩
#align real.bij_on_sin Real.bijOn_sin
theorem bijOn_cos : BijOn cos (Icc 0 π) (Icc (-1) 1) :=
⟨mapsTo_cos _, injOn_cos, surjOn_cos⟩
#align real.bij_on_cos Real.bijOn_cos
@[simp]
theorem range_cos : range cos = (Icc (-1) 1 : Set ℝ) :=
Subset.antisymm (range_subset_iff.2 cos_mem_Icc) surjOn_cos.subset_range
#align real.range_cos Real.range_cos
@[simp]
theorem range_sin : range sin = (Icc (-1) 1 : Set ℝ) :=
Subset.antisymm (range_subset_iff.2 sin_mem_Icc) surjOn_sin.subset_range
#align real.range_sin Real.range_sin
theorem range_cos_infinite : (range Real.cos).Infinite := by
rw [Real.range_cos]
exact Icc_infinite (by norm_num)
#align real.range_cos_infinite Real.range_cos_infinite
theorem range_sin_infinite : (range Real.sin).Infinite := by
rw [Real.range_sin]
exact Icc_infinite (by norm_num)
#align real.range_sin_infinite Real.range_sin_infinite
namespace Complex
open Real
theorem sin_eq_zero_iff_cos_eq {z : ℂ} : sin z = 0 ↔ cos z = 1 ∨ cos z = -1 := by
rw [← mul_self_eq_one_iff, ← sin_sq_add_cos_sq, sq, sq, ← sub_eq_iff_eq_add, sub_self]
exact ⟨fun h => by rw [h, mul_zero], eq_zero_of_mul_self_eq_zero ∘ Eq.symm⟩
#align complex.sin_eq_zero_iff_cos_eq Complex.sin_eq_zero_iff_cos_eq
@[simp]
theorem cos_pi_div_two : cos (π / 2) = 0 :=
calc
cos (π / 2) = Real.cos (π / 2) := by rw [ofReal_cos]; simp
_ = 0 := by simp
#align complex.cos_pi_div_two Complex.cos_pi_div_two
@[simp]
theorem sin_pi_div_two : sin (π / 2) = 1 :=
calc
sin (π / 2) = Real.sin (π / 2) := by rw [ofReal_sin]; simp
_ = 1 := by simp
#align complex.sin_pi_div_two Complex.sin_pi_div_two
@[simp]
theorem sin_pi : sin π = 0 := by rw [← ofReal_sin, Real.sin_pi]; simp
#align complex.sin_pi Complex.sin_pi
@[simp]
theorem cos_pi : cos π = -1 := by rw [← ofReal_cos, Real.cos_pi]; simp
#align complex.cos_pi Complex.cos_pi
@[simp]
theorem sin_two_pi : sin (2 * π) = 0 := by simp [two_mul, sin_add]
#align complex.sin_two_pi Complex.sin_two_pi
@[simp]
theorem cos_two_pi : cos (2 * π) = 1 := by simp [two_mul, cos_add]
#align complex.cos_two_pi Complex.cos_two_pi
theorem sin_antiperiodic : Function.Antiperiodic sin π := by simp [sin_add]
#align complex.sin_antiperiodic Complex.sin_antiperiodic
theorem sin_periodic : Function.Periodic sin (2 * π) :=
sin_antiperiodic.periodic_two_mul
#align complex.sin_periodic Complex.sin_periodic
theorem sin_add_pi (x : ℂ) : sin (x + π) = -sin x :=
sin_antiperiodic x
#align complex.sin_add_pi Complex.sin_add_pi
theorem sin_add_two_pi (x : ℂ) : sin (x + 2 * π) = sin x :=
sin_periodic x
#align complex.sin_add_two_pi Complex.sin_add_two_pi
theorem sin_sub_pi (x : ℂ) : sin (x - π) = -sin x :=
sin_antiperiodic.sub_eq x
#align complex.sin_sub_pi Complex.sin_sub_pi
theorem sin_sub_two_pi (x : ℂ) : sin (x - 2 * π) = sin x :=
sin_periodic.sub_eq x
#align complex.sin_sub_two_pi Complex.sin_sub_two_pi
theorem sin_pi_sub (x : ℂ) : sin (π - x) = sin x :=
neg_neg (sin x) ▸ sin_neg x ▸ sin_antiperiodic.sub_eq'
#align complex.sin_pi_sub Complex.sin_pi_sub
theorem sin_two_pi_sub (x : ℂ) : sin (2 * π - x) = -sin x :=
sin_neg x ▸ sin_periodic.sub_eq'
#align complex.sin_two_pi_sub Complex.sin_two_pi_sub
theorem sin_nat_mul_pi (n : ℕ) : sin (n * π) = 0 :=
sin_antiperiodic.nat_mul_eq_of_eq_zero sin_zero n
#align complex.sin_nat_mul_pi Complex.sin_nat_mul_pi
theorem sin_int_mul_pi (n : ℤ) : sin (n * π) = 0 :=
sin_antiperiodic.int_mul_eq_of_eq_zero sin_zero n
#align complex.sin_int_mul_pi Complex.sin_int_mul_pi
theorem sin_add_nat_mul_two_pi (x : ℂ) (n : ℕ) : sin (x + n * (2 * π)) = sin x :=
sin_periodic.nat_mul n x
#align complex.sin_add_nat_mul_two_pi Complex.sin_add_nat_mul_two_pi
theorem sin_add_int_mul_two_pi (x : ℂ) (n : ℤ) : sin (x + n * (2 * π)) = sin x :=
sin_periodic.int_mul n x
#align complex.sin_add_int_mul_two_pi Complex.sin_add_int_mul_two_pi
theorem sin_sub_nat_mul_two_pi (x : ℂ) (n : ℕ) : sin (x - n * (2 * π)) = sin x :=
sin_periodic.sub_nat_mul_eq n
#align complex.sin_sub_nat_mul_two_pi Complex.sin_sub_nat_mul_two_pi
theorem sin_sub_int_mul_two_pi (x : ℂ) (n : ℤ) : sin (x - n * (2 * π)) = sin x :=
sin_periodic.sub_int_mul_eq n
#align complex.sin_sub_int_mul_two_pi Complex.sin_sub_int_mul_two_pi
theorem sin_nat_mul_two_pi_sub (x : ℂ) (n : ℕ) : sin (n * (2 * π) - x) = -sin x :=
sin_neg x ▸ sin_periodic.nat_mul_sub_eq n
#align complex.sin_nat_mul_two_pi_sub Complex.sin_nat_mul_two_pi_sub
theorem sin_int_mul_two_pi_sub (x : ℂ) (n : ℤ) : sin (n * (2 * π) - x) = -sin x :=
sin_neg x ▸ sin_periodic.int_mul_sub_eq n
#align complex.sin_int_mul_two_pi_sub Complex.sin_int_mul_two_pi_sub
theorem cos_antiperiodic : Function.Antiperiodic cos π := by simp [cos_add]
#align complex.cos_antiperiodic Complex.cos_antiperiodic
theorem cos_periodic : Function.Periodic cos (2 * π) :=
cos_antiperiodic.periodic_two_mul
#align complex.cos_periodic Complex.cos_periodic
theorem cos_add_pi (x : ℂ) : cos (x + π) = -cos x :=
cos_antiperiodic x
#align complex.cos_add_pi Complex.cos_add_pi
theorem cos_add_two_pi (x : ℂ) : cos (x + 2 * π) = cos x :=
cos_periodic x
#align complex.cos_add_two_pi Complex.cos_add_two_pi
theorem cos_sub_pi (x : ℂ) : cos (x - π) = -cos x :=
cos_antiperiodic.sub_eq x
#align complex.cos_sub_pi Complex.cos_sub_pi
theorem cos_sub_two_pi (x : ℂ) : cos (x - 2 * π) = cos x :=
cos_periodic.sub_eq x
#align complex.cos_sub_two_pi Complex.cos_sub_two_pi
theorem cos_pi_sub (x : ℂ) : cos (π - x) = -cos x :=
cos_neg x ▸ cos_antiperiodic.sub_eq'
#align complex.cos_pi_sub Complex.cos_pi_sub
theorem cos_two_pi_sub (x : ℂ) : cos (2 * π - x) = cos x :=
cos_neg x ▸ cos_periodic.sub_eq'
#align complex.cos_two_pi_sub Complex.cos_two_pi_sub
theorem cos_nat_mul_two_pi (n : ℕ) : cos (n * (2 * π)) = 1 :=
(cos_periodic.nat_mul_eq n).trans cos_zero
#align complex.cos_nat_mul_two_pi Complex.cos_nat_mul_two_pi
theorem cos_int_mul_two_pi (n : ℤ) : cos (n * (2 * π)) = 1 :=
(cos_periodic.int_mul_eq n).trans cos_zero
#align complex.cos_int_mul_two_pi Complex.cos_int_mul_two_pi
theorem cos_add_nat_mul_two_pi (x : ℂ) (n : ℕ) : cos (x + n * (2 * π)) = cos x :=
cos_periodic.nat_mul n x
#align complex.cos_add_nat_mul_two_pi Complex.cos_add_nat_mul_two_pi
theorem cos_add_int_mul_two_pi (x : ℂ) (n : ℤ) : cos (x + n * (2 * π)) = cos x :=
cos_periodic.int_mul n x
#align complex.cos_add_int_mul_two_pi Complex.cos_add_int_mul_two_pi
theorem cos_sub_nat_mul_two_pi (x : ℂ) (n : ℕ) : cos (x - n * (2 * π)) = cos x :=
cos_periodic.sub_nat_mul_eq n
#align complex.cos_sub_nat_mul_two_pi Complex.cos_sub_nat_mul_two_pi
theorem cos_sub_int_mul_two_pi (x : ℂ) (n : ℤ) : cos (x - n * (2 * π)) = cos x :=
cos_periodic.sub_int_mul_eq n
#align complex.cos_sub_int_mul_two_pi Complex.cos_sub_int_mul_two_pi
theorem cos_nat_mul_two_pi_sub (x : ℂ) (n : ℕ) : cos (n * (2 * π) - x) = cos x :=
cos_neg x ▸ cos_periodic.nat_mul_sub_eq n
#align complex.cos_nat_mul_two_pi_sub Complex.cos_nat_mul_two_pi_sub
theorem cos_int_mul_two_pi_sub (x : ℂ) (n : ℤ) : cos (n * (2 * π) - x) = cos x :=
cos_neg x ▸ cos_periodic.int_mul_sub_eq n
#align complex.cos_int_mul_two_pi_sub Complex.cos_int_mul_two_pi_sub
theorem cos_nat_mul_two_pi_add_pi (n : ℕ) : cos (n * (2 * π) + π) = -1 := by
simpa only [cos_zero] using (cos_periodic.nat_mul n).add_antiperiod_eq cos_antiperiodic
#align complex.cos_nat_mul_two_pi_add_pi Complex.cos_nat_mul_two_pi_add_pi
theorem cos_int_mul_two_pi_add_pi (n : ℤ) : cos (n * (2 * π) + π) = -1 := by
simpa only [cos_zero] using (cos_periodic.int_mul n).add_antiperiod_eq cos_antiperiodic
#align complex.cos_int_mul_two_pi_add_pi Complex.cos_int_mul_two_pi_add_pi
theorem cos_nat_mul_two_pi_sub_pi (n : ℕ) : cos (n * (2 * π) - π) = -1 := by
simpa only [cos_zero] using (cos_periodic.nat_mul n).sub_antiperiod_eq cos_antiperiodic
#align complex.cos_nat_mul_two_pi_sub_pi Complex.cos_nat_mul_two_pi_sub_pi
theorem cos_int_mul_two_pi_sub_pi (n : ℤ) : cos (n * (2 * π) - π) = -1 := by
simpa only [cos_zero] using (cos_periodic.int_mul n).sub_antiperiod_eq cos_antiperiodic
#align complex.cos_int_mul_two_pi_sub_pi Complex.cos_int_mul_two_pi_sub_pi
theorem sin_add_pi_div_two (x : ℂ) : sin (x + π / 2) = cos x := by simp [sin_add]
#align complex.sin_add_pi_div_two Complex.sin_add_pi_div_two
theorem sin_sub_pi_div_two (x : ℂ) : sin (x - π / 2) = -cos x := by simp [sub_eq_add_neg, sin_add]
#align complex.sin_sub_pi_div_two Complex.sin_sub_pi_div_two
theorem sin_pi_div_two_sub (x : ℂ) : sin (π / 2 - x) = cos x := by simp [sub_eq_add_neg, sin_add]
#align complex.sin_pi_div_two_sub Complex.sin_pi_div_two_sub
theorem cos_add_pi_div_two (x : ℂ) : cos (x + π / 2) = -sin x := by simp [cos_add]
#align complex.cos_add_pi_div_two Complex.cos_add_pi_div_two
theorem cos_sub_pi_div_two (x : ℂ) : cos (x - π / 2) = sin x := by simp [sub_eq_add_neg, cos_add]
#align complex.cos_sub_pi_div_two Complex.cos_sub_pi_div_two
theorem cos_pi_div_two_sub (x : ℂ) : cos (π / 2 - x) = sin x := by
rw [← cos_neg, neg_sub, cos_sub_pi_div_two]
#align complex.cos_pi_div_two_sub Complex.cos_pi_div_two_sub
| Mathlib/Analysis/SpecialFunctions/Trigonometric/Basic.lean | 1,315 | 1,316 | theorem tan_periodic : Function.Periodic tan π := by |
simpa only [tan_eq_sin_div_cos] using sin_antiperiodic.div cos_antiperiodic
|
import Mathlib.Topology.GDelta
#align_import topology.metric_space.baire from "leanprover-community/mathlib"@"b9e46fe101fc897fb2e7edaf0bf1f09ea49eb81a"
noncomputable section
open scoped Topology
open Filter Set TopologicalSpace
variable {X α : Type*} {ι : Sort*}
section BaireTheorem
variable [TopologicalSpace X] [BaireSpace X]
theorem dense_iInter_of_isOpen_nat {f : ℕ → Set X} (ho : ∀ n, IsOpen (f n))
(hd : ∀ n, Dense (f n)) : Dense (⋂ n, f n) :=
BaireSpace.baire_property f ho hd
#align dense_Inter_of_open_nat dense_iInter_of_isOpen_nat
theorem dense_sInter_of_isOpen {S : Set (Set X)} (ho : ∀ s ∈ S, IsOpen s) (hS : S.Countable)
(hd : ∀ s ∈ S, Dense s) : Dense (⋂₀ S) := by
rcases S.eq_empty_or_nonempty with h | h
· simp [h]
· rcases hS.exists_eq_range h with ⟨f, rfl⟩
exact dense_iInter_of_isOpen_nat (forall_mem_range.1 ho) (forall_mem_range.1 hd)
#align dense_sInter_of_open dense_sInter_of_isOpen
theorem dense_biInter_of_isOpen {S : Set α} {f : α → Set X} (ho : ∀ s ∈ S, IsOpen (f s))
(hS : S.Countable) (hd : ∀ s ∈ S, Dense (f s)) : Dense (⋂ s ∈ S, f s) := by
rw [← sInter_image]
refine dense_sInter_of_isOpen ?_ (hS.image _) ?_ <;> rwa [forall_mem_image]
#align dense_bInter_of_open dense_biInter_of_isOpen
theorem dense_iInter_of_isOpen [Countable ι] {f : ι → Set X} (ho : ∀ i, IsOpen (f i))
(hd : ∀ i, Dense (f i)) : Dense (⋂ s, f s) :=
dense_sInter_of_isOpen (forall_mem_range.2 ho) (countable_range _) (forall_mem_range.2 hd)
#align dense_Inter_of_open dense_iInter_of_isOpen
theorem mem_residual {s : Set X} : s ∈ residual X ↔ ∃ t ⊆ s, IsGδ t ∧ Dense t := by
constructor
· rw [mem_residual_iff]
rintro ⟨S, hSo, hSd, Sct, Ss⟩
refine ⟨_, Ss, ⟨_, fun t ht => hSo _ ht, Sct, rfl⟩, ?_⟩
exact dense_sInter_of_isOpen hSo Sct hSd
rintro ⟨t, ts, ho, hd⟩
exact mem_of_superset (residual_of_dense_Gδ ho hd) ts
#align mem_residual mem_residual
theorem eventually_residual {p : X → Prop} :
(∀ᶠ x in residual X, p x) ↔ ∃ t : Set X, IsGδ t ∧ Dense t ∧ ∀ x ∈ t, p x := by
simp only [Filter.Eventually, mem_residual, subset_def, mem_setOf_eq]
tauto
#align eventually_residual eventually_residual
theorem dense_of_mem_residual {s : Set X} (hs : s ∈ residual X) : Dense s :=
let ⟨_, hts, _, hd⟩ := mem_residual.1 hs
hd.mono hts
#align dense_of_mem_residual dense_of_mem_residual
theorem dense_sInter_of_Gδ {S : Set (Set X)} (ho : ∀ s ∈ S, IsGδ s) (hS : S.Countable)
(hd : ∀ s ∈ S, Dense s) : Dense (⋂₀ S) :=
dense_of_mem_residual ((countable_sInter_mem hS).mpr
(fun _ hs => residual_of_dense_Gδ (ho _ hs) (hd _ hs)))
set_option linter.uppercaseLean3 false in
#align dense_sInter_of_Gδ dense_sInter_of_Gδ
theorem dense_iInter_of_Gδ [Countable ι] {f : ι → Set X} (ho : ∀ s, IsGδ (f s))
(hd : ∀ s, Dense (f s)) : Dense (⋂ s, f s) :=
dense_sInter_of_Gδ (forall_mem_range.2 ‹_›) (countable_range _) (forall_mem_range.2 ‹_›)
set_option linter.uppercaseLean3 false in
#align dense_Inter_of_Gδ dense_iInter_of_Gδ
theorem dense_biInter_of_Gδ {S : Set α} {f : ∀ x ∈ S, Set X} (ho : ∀ s (H : s ∈ S), IsGδ (f s H))
(hS : S.Countable) (hd : ∀ s (H : s ∈ S), Dense (f s H)) : Dense (⋂ s ∈ S, f s ‹_›) := by
rw [biInter_eq_iInter]
haveI := hS.to_subtype
exact dense_iInter_of_Gδ (fun s => ho s s.2) fun s => hd s s.2
set_option linter.uppercaseLean3 false in
#align dense_bInter_of_Gδ dense_biInter_of_Gδ
theorem Dense.inter_of_Gδ {s t : Set X} (hs : IsGδ s) (ht : IsGδ t) (hsc : Dense s)
(htc : Dense t) : Dense (s ∩ t) := by
rw [inter_eq_iInter]
apply dense_iInter_of_Gδ <;> simp [Bool.forall_bool, *]
set_option linter.uppercaseLean3 false in
#align dense.inter_of_Gδ Dense.inter_of_Gδ
theorem IsGδ.dense_iUnion_interior_of_closed [Countable ι] {s : Set X} (hs : IsGδ s) (hd : Dense s)
{f : ι → Set X} (hc : ∀ i, IsClosed (f i)) (hU : s ⊆ ⋃ i, f i) :
Dense (⋃ i, interior (f i)) := by
let g i := (frontier (f i))ᶜ
have hgo : ∀ i, IsOpen (g i) := fun i => isClosed_frontier.isOpen_compl
have hgd : Dense (⋂ i, g i) := by
refine dense_iInter_of_isOpen hgo fun i x => ?_
rw [closure_compl, interior_frontier (hc _)]
exact id
refine (hd.inter_of_Gδ hs (.iInter_of_isOpen fun i => (hgo i)) hgd).mono ?_
rintro x ⟨hxs, hxg⟩
rw [mem_iInter] at hxg
rcases mem_iUnion.1 (hU hxs) with ⟨i, hi⟩
exact mem_iUnion.2 ⟨i, self_diff_frontier (f i) ▸ ⟨hi, hxg _⟩⟩
set_option linter.uppercaseLean3 false in
#align is_Gδ.dense_Union_interior_of_closed IsGδ.dense_iUnion_interior_of_closed
| Mathlib/Topology/Baire/Lemmas.lean | 151 | 156 | theorem IsGδ.dense_biUnion_interior_of_closed {t : Set α} {s : Set X} (hs : IsGδ s) (hd : Dense s)
(ht : t.Countable) {f : α → Set X} (hc : ∀ i ∈ t, IsClosed (f i)) (hU : s ⊆ ⋃ i ∈ t, f i) :
Dense (⋃ i ∈ t, interior (f i)) := by |
haveI := ht.to_subtype
simp only [biUnion_eq_iUnion, SetCoe.forall'] at *
exact hs.dense_iUnion_interior_of_closed hd hc hU
|
import Mathlib.RingTheory.Polynomial.Basic
import Mathlib.RingTheory.Ideal.LocalRing
#align_import data.polynomial.expand from "leanprover-community/mathlib"@"bbeb185db4ccee8ed07dc48449414ebfa39cb821"
universe u v w
open Polynomial
open Finset
namespace Polynomial
section CommSemiring
variable (R : Type u) [CommSemiring R] {S : Type v} [CommSemiring S] (p q : ℕ)
noncomputable def expand : R[X] →ₐ[R] R[X] :=
{ (eval₂RingHom C (X ^ p) : R[X] →+* R[X]) with commutes' := fun _ => eval₂_C _ _ }
#align polynomial.expand Polynomial.expand
theorem coe_expand : (expand R p : R[X] → R[X]) = eval₂ C (X ^ p) :=
rfl
#align polynomial.coe_expand Polynomial.coe_expand
variable {R}
theorem expand_eq_comp_X_pow {f : R[X]} : expand R p f = f.comp (X ^ p) := rfl
| Mathlib/Algebra/Polynomial/Expand.lean | 48 | 49 | theorem expand_eq_sum {f : R[X]} : expand R p f = f.sum fun e a => C a * (X ^ p) ^ e := by |
simp [expand, eval₂]
|
import Mathlib.Analysis.SpecialFunctions.Trigonometric.Basic
import Mathlib.Topology.Order.ProjIcc
#align_import analysis.special_functions.trigonometric.inverse from "leanprover-community/mathlib"@"f2ce6086713c78a7f880485f7917ea547a215982"
noncomputable section
open scoped Classical
open Topology Filter
open Set Filter
open Real
namespace Real
variable {x y : ℝ}
-- @[pp_nodot] Porting note: not implemented
noncomputable def arcsin : ℝ → ℝ :=
Subtype.val ∘ IccExtend (neg_le_self zero_le_one) sinOrderIso.symm
#align real.arcsin Real.arcsin
theorem arcsin_mem_Icc (x : ℝ) : arcsin x ∈ Icc (-(π / 2)) (π / 2) :=
Subtype.coe_prop _
#align real.arcsin_mem_Icc Real.arcsin_mem_Icc
@[simp]
theorem range_arcsin : range arcsin = Icc (-(π / 2)) (π / 2) := by
rw [arcsin, range_comp Subtype.val]
simp [Icc]
#align real.range_arcsin Real.range_arcsin
theorem arcsin_le_pi_div_two (x : ℝ) : arcsin x ≤ π / 2 :=
(arcsin_mem_Icc x).2
#align real.arcsin_le_pi_div_two Real.arcsin_le_pi_div_two
theorem neg_pi_div_two_le_arcsin (x : ℝ) : -(π / 2) ≤ arcsin x :=
(arcsin_mem_Icc x).1
#align real.neg_pi_div_two_le_arcsin Real.neg_pi_div_two_le_arcsin
theorem arcsin_projIcc (x : ℝ) :
arcsin (projIcc (-1) 1 (neg_le_self zero_le_one) x) = arcsin x := by
rw [arcsin, Function.comp_apply, IccExtend_val, Function.comp_apply, IccExtend,
Function.comp_apply]
#align real.arcsin_proj_Icc Real.arcsin_projIcc
theorem sin_arcsin' {x : ℝ} (hx : x ∈ Icc (-1 : ℝ) 1) : sin (arcsin x) = x := by
simpa [arcsin, IccExtend_of_mem _ _ hx, -OrderIso.apply_symm_apply] using
Subtype.ext_iff.1 (sinOrderIso.apply_symm_apply ⟨x, hx⟩)
#align real.sin_arcsin' Real.sin_arcsin'
theorem sin_arcsin {x : ℝ} (hx₁ : -1 ≤ x) (hx₂ : x ≤ 1) : sin (arcsin x) = x :=
sin_arcsin' ⟨hx₁, hx₂⟩
#align real.sin_arcsin Real.sin_arcsin
theorem arcsin_sin' {x : ℝ} (hx : x ∈ Icc (-(π / 2)) (π / 2)) : arcsin (sin x) = x :=
injOn_sin (arcsin_mem_Icc _) hx <| by rw [sin_arcsin (neg_one_le_sin _) (sin_le_one _)]
#align real.arcsin_sin' Real.arcsin_sin'
theorem arcsin_sin {x : ℝ} (hx₁ : -(π / 2) ≤ x) (hx₂ : x ≤ π / 2) : arcsin (sin x) = x :=
arcsin_sin' ⟨hx₁, hx₂⟩
#align real.arcsin_sin Real.arcsin_sin
theorem strictMonoOn_arcsin : StrictMonoOn arcsin (Icc (-1) 1) :=
(Subtype.strictMono_coe _).comp_strictMonoOn <|
sinOrderIso.symm.strictMono.strictMonoOn_IccExtend _
#align real.strict_mono_on_arcsin Real.strictMonoOn_arcsin
theorem monotone_arcsin : Monotone arcsin :=
(Subtype.mono_coe _).comp <| sinOrderIso.symm.monotone.IccExtend _
#align real.monotone_arcsin Real.monotone_arcsin
theorem injOn_arcsin : InjOn arcsin (Icc (-1) 1) :=
strictMonoOn_arcsin.injOn
#align real.inj_on_arcsin Real.injOn_arcsin
theorem arcsin_inj {x y : ℝ} (hx₁ : -1 ≤ x) (hx₂ : x ≤ 1) (hy₁ : -1 ≤ y) (hy₂ : y ≤ 1) :
arcsin x = arcsin y ↔ x = y :=
injOn_arcsin.eq_iff ⟨hx₁, hx₂⟩ ⟨hy₁, hy₂⟩
#align real.arcsin_inj Real.arcsin_inj
@[continuity]
theorem continuous_arcsin : Continuous arcsin :=
continuous_subtype_val.comp sinOrderIso.symm.continuous.Icc_extend'
#align real.continuous_arcsin Real.continuous_arcsin
theorem continuousAt_arcsin {x : ℝ} : ContinuousAt arcsin x :=
continuous_arcsin.continuousAt
#align real.continuous_at_arcsin Real.continuousAt_arcsin
theorem arcsin_eq_of_sin_eq {x y : ℝ} (h₁ : sin x = y) (h₂ : x ∈ Icc (-(π / 2)) (π / 2)) :
arcsin y = x := by
subst y
exact injOn_sin (arcsin_mem_Icc _) h₂ (sin_arcsin' (sin_mem_Icc x))
#align real.arcsin_eq_of_sin_eq Real.arcsin_eq_of_sin_eq
@[simp]
theorem arcsin_zero : arcsin 0 = 0 :=
arcsin_eq_of_sin_eq sin_zero ⟨neg_nonpos.2 pi_div_two_pos.le, pi_div_two_pos.le⟩
#align real.arcsin_zero Real.arcsin_zero
@[simp]
theorem arcsin_one : arcsin 1 = π / 2 :=
arcsin_eq_of_sin_eq sin_pi_div_two <| right_mem_Icc.2 (neg_le_self pi_div_two_pos.le)
#align real.arcsin_one Real.arcsin_one
theorem arcsin_of_one_le {x : ℝ} (hx : 1 ≤ x) : arcsin x = π / 2 := by
rw [← arcsin_projIcc, projIcc_of_right_le _ hx, Subtype.coe_mk, arcsin_one]
#align real.arcsin_of_one_le Real.arcsin_of_one_le
theorem arcsin_neg_one : arcsin (-1) = -(π / 2) :=
arcsin_eq_of_sin_eq (by rw [sin_neg, sin_pi_div_two]) <|
left_mem_Icc.2 (neg_le_self pi_div_two_pos.le)
#align real.arcsin_neg_one Real.arcsin_neg_one
theorem arcsin_of_le_neg_one {x : ℝ} (hx : x ≤ -1) : arcsin x = -(π / 2) := by
rw [← arcsin_projIcc, projIcc_of_le_left _ hx, Subtype.coe_mk, arcsin_neg_one]
#align real.arcsin_of_le_neg_one Real.arcsin_of_le_neg_one
@[simp]
theorem arcsin_neg (x : ℝ) : arcsin (-x) = -arcsin x := by
rcases le_total x (-1) with hx₁ | hx₁
· rw [arcsin_of_le_neg_one hx₁, neg_neg, arcsin_of_one_le (le_neg.2 hx₁)]
rcases le_total 1 x with hx₂ | hx₂
· rw [arcsin_of_one_le hx₂, arcsin_of_le_neg_one (neg_le_neg hx₂)]
refine arcsin_eq_of_sin_eq ?_ ?_
· rw [sin_neg, sin_arcsin hx₁ hx₂]
· exact ⟨neg_le_neg (arcsin_le_pi_div_two _), neg_le.2 (neg_pi_div_two_le_arcsin _)⟩
#align real.arcsin_neg Real.arcsin_neg
theorem arcsin_le_iff_le_sin {x y : ℝ} (hx : x ∈ Icc (-1 : ℝ) 1) (hy : y ∈ Icc (-(π / 2)) (π / 2)) :
arcsin x ≤ y ↔ x ≤ sin y := by
rw [← arcsin_sin' hy, strictMonoOn_arcsin.le_iff_le hx (sin_mem_Icc _), arcsin_sin' hy]
#align real.arcsin_le_iff_le_sin Real.arcsin_le_iff_le_sin
theorem arcsin_le_iff_le_sin' {x y : ℝ} (hy : y ∈ Ico (-(π / 2)) (π / 2)) :
arcsin x ≤ y ↔ x ≤ sin y := by
rcases le_total x (-1) with hx₁ | hx₁
· simp [arcsin_of_le_neg_one hx₁, hy.1, hx₁.trans (neg_one_le_sin _)]
cases' lt_or_le 1 x with hx₂ hx₂
· simp [arcsin_of_one_le hx₂.le, hy.2.not_le, (sin_le_one y).trans_lt hx₂]
exact arcsin_le_iff_le_sin ⟨hx₁, hx₂⟩ (mem_Icc_of_Ico hy)
#align real.arcsin_le_iff_le_sin' Real.arcsin_le_iff_le_sin'
theorem le_arcsin_iff_sin_le {x y : ℝ} (hx : x ∈ Icc (-(π / 2)) (π / 2)) (hy : y ∈ Icc (-1 : ℝ) 1) :
x ≤ arcsin y ↔ sin x ≤ y := by
rw [← neg_le_neg_iff, ← arcsin_neg,
arcsin_le_iff_le_sin ⟨neg_le_neg hy.2, neg_le.2 hy.1⟩ ⟨neg_le_neg hx.2, neg_le.2 hx.1⟩, sin_neg,
neg_le_neg_iff]
#align real.le_arcsin_iff_sin_le Real.le_arcsin_iff_sin_le
theorem le_arcsin_iff_sin_le' {x y : ℝ} (hx : x ∈ Ioc (-(π / 2)) (π / 2)) :
x ≤ arcsin y ↔ sin x ≤ y := by
rw [← neg_le_neg_iff, ← arcsin_neg, arcsin_le_iff_le_sin' ⟨neg_le_neg hx.2, neg_lt.2 hx.1⟩,
sin_neg, neg_le_neg_iff]
#align real.le_arcsin_iff_sin_le' Real.le_arcsin_iff_sin_le'
theorem arcsin_lt_iff_lt_sin {x y : ℝ} (hx : x ∈ Icc (-1 : ℝ) 1) (hy : y ∈ Icc (-(π / 2)) (π / 2)) :
arcsin x < y ↔ x < sin y :=
not_le.symm.trans <| (not_congr <| le_arcsin_iff_sin_le hy hx).trans not_le
#align real.arcsin_lt_iff_lt_sin Real.arcsin_lt_iff_lt_sin
theorem arcsin_lt_iff_lt_sin' {x y : ℝ} (hy : y ∈ Ioc (-(π / 2)) (π / 2)) :
arcsin x < y ↔ x < sin y :=
not_le.symm.trans <| (not_congr <| le_arcsin_iff_sin_le' hy).trans not_le
#align real.arcsin_lt_iff_lt_sin' Real.arcsin_lt_iff_lt_sin'
theorem lt_arcsin_iff_sin_lt {x y : ℝ} (hx : x ∈ Icc (-(π / 2)) (π / 2)) (hy : y ∈ Icc (-1 : ℝ) 1) :
x < arcsin y ↔ sin x < y :=
not_le.symm.trans <| (not_congr <| arcsin_le_iff_le_sin hy hx).trans not_le
#align real.lt_arcsin_iff_sin_lt Real.lt_arcsin_iff_sin_lt
theorem lt_arcsin_iff_sin_lt' {x y : ℝ} (hx : x ∈ Ico (-(π / 2)) (π / 2)) :
x < arcsin y ↔ sin x < y :=
not_le.symm.trans <| (not_congr <| arcsin_le_iff_le_sin' hx).trans not_le
#align real.lt_arcsin_iff_sin_lt' Real.lt_arcsin_iff_sin_lt'
theorem arcsin_eq_iff_eq_sin {x y : ℝ} (hy : y ∈ Ioo (-(π / 2)) (π / 2)) :
arcsin x = y ↔ x = sin y := by
simp only [le_antisymm_iff, arcsin_le_iff_le_sin' (mem_Ico_of_Ioo hy),
le_arcsin_iff_sin_le' (mem_Ioc_of_Ioo hy)]
#align real.arcsin_eq_iff_eq_sin Real.arcsin_eq_iff_eq_sin
@[simp]
theorem arcsin_nonneg {x : ℝ} : 0 ≤ arcsin x ↔ 0 ≤ x :=
(le_arcsin_iff_sin_le' ⟨neg_lt_zero.2 pi_div_two_pos, pi_div_two_pos.le⟩).trans <| by
rw [sin_zero]
#align real.arcsin_nonneg Real.arcsin_nonneg
@[simp]
theorem arcsin_nonpos {x : ℝ} : arcsin x ≤ 0 ↔ x ≤ 0 :=
neg_nonneg.symm.trans <| arcsin_neg x ▸ arcsin_nonneg.trans neg_nonneg
#align real.arcsin_nonpos Real.arcsin_nonpos
@[simp]
theorem arcsin_eq_zero_iff {x : ℝ} : arcsin x = 0 ↔ x = 0 := by simp [le_antisymm_iff]
#align real.arcsin_eq_zero_iff Real.arcsin_eq_zero_iff
@[simp]
theorem zero_eq_arcsin_iff {x} : 0 = arcsin x ↔ x = 0 :=
eq_comm.trans arcsin_eq_zero_iff
#align real.zero_eq_arcsin_iff Real.zero_eq_arcsin_iff
@[simp]
theorem arcsin_pos {x : ℝ} : 0 < arcsin x ↔ 0 < x :=
lt_iff_lt_of_le_iff_le arcsin_nonpos
#align real.arcsin_pos Real.arcsin_pos
@[simp]
theorem arcsin_lt_zero {x : ℝ} : arcsin x < 0 ↔ x < 0 :=
lt_iff_lt_of_le_iff_le arcsin_nonneg
#align real.arcsin_lt_zero Real.arcsin_lt_zero
@[simp]
theorem arcsin_lt_pi_div_two {x : ℝ} : arcsin x < π / 2 ↔ x < 1 :=
(arcsin_lt_iff_lt_sin' (right_mem_Ioc.2 <| neg_lt_self pi_div_two_pos)).trans <| by
rw [sin_pi_div_two]
#align real.arcsin_lt_pi_div_two Real.arcsin_lt_pi_div_two
@[simp]
theorem neg_pi_div_two_lt_arcsin {x : ℝ} : -(π / 2) < arcsin x ↔ -1 < x :=
(lt_arcsin_iff_sin_lt' <| left_mem_Ico.2 <| neg_lt_self pi_div_two_pos).trans <| by
rw [sin_neg, sin_pi_div_two]
#align real.neg_pi_div_two_lt_arcsin Real.neg_pi_div_two_lt_arcsin
@[simp]
theorem arcsin_eq_pi_div_two {x : ℝ} : arcsin x = π / 2 ↔ 1 ≤ x :=
⟨fun h => not_lt.1 fun h' => (arcsin_lt_pi_div_two.2 h').ne h, arcsin_of_one_le⟩
#align real.arcsin_eq_pi_div_two Real.arcsin_eq_pi_div_two
@[simp]
theorem pi_div_two_eq_arcsin {x} : π / 2 = arcsin x ↔ 1 ≤ x :=
eq_comm.trans arcsin_eq_pi_div_two
#align real.pi_div_two_eq_arcsin Real.pi_div_two_eq_arcsin
@[simp]
theorem pi_div_two_le_arcsin {x} : π / 2 ≤ arcsin x ↔ 1 ≤ x :=
(arcsin_le_pi_div_two x).le_iff_eq.trans pi_div_two_eq_arcsin
#align real.pi_div_two_le_arcsin Real.pi_div_two_le_arcsin
@[simp]
theorem arcsin_eq_neg_pi_div_two {x : ℝ} : arcsin x = -(π / 2) ↔ x ≤ -1 :=
⟨fun h => not_lt.1 fun h' => (neg_pi_div_two_lt_arcsin.2 h').ne' h, arcsin_of_le_neg_one⟩
#align real.arcsin_eq_neg_pi_div_two Real.arcsin_eq_neg_pi_div_two
@[simp]
theorem neg_pi_div_two_eq_arcsin {x} : -(π / 2) = arcsin x ↔ x ≤ -1 :=
eq_comm.trans arcsin_eq_neg_pi_div_two
#align real.neg_pi_div_two_eq_arcsin Real.neg_pi_div_two_eq_arcsin
@[simp]
theorem arcsin_le_neg_pi_div_two {x} : arcsin x ≤ -(π / 2) ↔ x ≤ -1 :=
(neg_pi_div_two_le_arcsin x).le_iff_eq.trans arcsin_eq_neg_pi_div_two
#align real.arcsin_le_neg_pi_div_two Real.arcsin_le_neg_pi_div_two
@[simp]
theorem pi_div_four_le_arcsin {x} : π / 4 ≤ arcsin x ↔ √2 / 2 ≤ x := by
rw [← sin_pi_div_four, le_arcsin_iff_sin_le']
have := pi_pos
constructor <;> linarith
#align real.pi_div_four_le_arcsin Real.pi_div_four_le_arcsin
theorem mapsTo_sin_Ioo : MapsTo sin (Ioo (-(π / 2)) (π / 2)) (Ioo (-1) 1) := fun x h => by
rwa [mem_Ioo, ← arcsin_lt_pi_div_two, ← neg_pi_div_two_lt_arcsin, arcsin_sin h.1.le h.2.le]
#align real.maps_to_sin_Ioo Real.mapsTo_sin_Ioo
@[simp]
def sinPartialHomeomorph : PartialHomeomorph ℝ ℝ where
toFun := sin
invFun := arcsin
source := Ioo (-(π / 2)) (π / 2)
target := Ioo (-1) 1
map_source' := mapsTo_sin_Ioo
map_target' _ hy := ⟨neg_pi_div_two_lt_arcsin.2 hy.1, arcsin_lt_pi_div_two.2 hy.2⟩
left_inv' _ hx := arcsin_sin hx.1.le hx.2.le
right_inv' _ hy := sin_arcsin hy.1.le hy.2.le
open_source := isOpen_Ioo
open_target := isOpen_Ioo
continuousOn_toFun := continuous_sin.continuousOn
continuousOn_invFun := continuous_arcsin.continuousOn
#align real.sin_local_homeomorph Real.sinPartialHomeomorph
theorem cos_arcsin_nonneg (x : ℝ) : 0 ≤ cos (arcsin x) :=
cos_nonneg_of_mem_Icc ⟨neg_pi_div_two_le_arcsin _, arcsin_le_pi_div_two _⟩
#align real.cos_arcsin_nonneg Real.cos_arcsin_nonneg
-- The junk values for `arcsin` and `sqrt` make this true even outside `[-1, 1]`.
theorem cos_arcsin (x : ℝ) : cos (arcsin x) = √(1 - x ^ 2) := by
by_cases hx₁ : -1 ≤ x; swap
· rw [not_le] at hx₁
rw [arcsin_of_le_neg_one hx₁.le, cos_neg, cos_pi_div_two, sqrt_eq_zero_of_nonpos]
nlinarith
by_cases hx₂ : x ≤ 1; swap
· rw [not_le] at hx₂
rw [arcsin_of_one_le hx₂.le, cos_pi_div_two, sqrt_eq_zero_of_nonpos]
nlinarith
have : sin (arcsin x) ^ 2 + cos (arcsin x) ^ 2 = 1 := sin_sq_add_cos_sq (arcsin x)
rw [← eq_sub_iff_add_eq', ← sqrt_inj (sq_nonneg _) (sub_nonneg.2 (sin_sq_le_one (arcsin x))), sq,
sqrt_mul_self (cos_arcsin_nonneg _)] at this
rw [this, sin_arcsin hx₁ hx₂]
#align real.cos_arcsin Real.cos_arcsin
-- The junk values for `arcsin` and `sqrt` make this true even outside `[-1, 1]`.
theorem tan_arcsin (x : ℝ) : tan (arcsin x) = x / √(1 - x ^ 2) := by
rw [tan_eq_sin_div_cos, cos_arcsin]
by_cases hx₁ : -1 ≤ x; swap
· have h : √(1 - x ^ 2) = 0 := sqrt_eq_zero_of_nonpos (by nlinarith)
rw [h]
simp
by_cases hx₂ : x ≤ 1; swap
· have h : √(1 - x ^ 2) = 0 := sqrt_eq_zero_of_nonpos (by nlinarith)
rw [h]
simp
rw [sin_arcsin hx₁ hx₂]
#align real.tan_arcsin Real.tan_arcsin
-- @[pp_nodot] Porting note: not implemented
noncomputable def arccos (x : ℝ) : ℝ :=
π / 2 - arcsin x
#align real.arccos Real.arccos
theorem arccos_eq_pi_div_two_sub_arcsin (x : ℝ) : arccos x = π / 2 - arcsin x :=
rfl
#align real.arccos_eq_pi_div_two_sub_arcsin Real.arccos_eq_pi_div_two_sub_arcsin
theorem arcsin_eq_pi_div_two_sub_arccos (x : ℝ) : arcsin x = π / 2 - arccos x := by simp [arccos]
#align real.arcsin_eq_pi_div_two_sub_arccos Real.arcsin_eq_pi_div_two_sub_arccos
theorem arccos_le_pi (x : ℝ) : arccos x ≤ π := by
unfold arccos; linarith [neg_pi_div_two_le_arcsin x]
#align real.arccos_le_pi Real.arccos_le_pi
theorem arccos_nonneg (x : ℝ) : 0 ≤ arccos x := by
unfold arccos; linarith [arcsin_le_pi_div_two x]
#align real.arccos_nonneg Real.arccos_nonneg
@[simp]
theorem arccos_pos {x : ℝ} : 0 < arccos x ↔ x < 1 := by simp [arccos]
#align real.arccos_pos Real.arccos_pos
theorem cos_arccos {x : ℝ} (hx₁ : -1 ≤ x) (hx₂ : x ≤ 1) : cos (arccos x) = x := by
rw [arccos, cos_pi_div_two_sub, sin_arcsin hx₁ hx₂]
#align real.cos_arccos Real.cos_arccos
theorem arccos_cos {x : ℝ} (hx₁ : 0 ≤ x) (hx₂ : x ≤ π) : arccos (cos x) = x := by
rw [arccos, ← sin_pi_div_two_sub, arcsin_sin] <;> simp [sub_eq_add_neg] <;> linarith
#align real.arccos_cos Real.arccos_cos
lemma arccos_eq_of_eq_cos (hy₀ : 0 ≤ y) (hy₁ : y ≤ π) (hxy : x = cos y) : arccos x = y := by
rw [hxy, arccos_cos hy₀ hy₁]
theorem strictAntiOn_arccos : StrictAntiOn arccos (Icc (-1) 1) := fun _ hx _ hy h =>
sub_lt_sub_left (strictMonoOn_arcsin hx hy h) _
#align real.strict_anti_on_arccos Real.strictAntiOn_arccos
theorem arccos_injOn : InjOn arccos (Icc (-1) 1) :=
strictAntiOn_arccos.injOn
#align real.arccos_inj_on Real.arccos_injOn
theorem arccos_inj {x y : ℝ} (hx₁ : -1 ≤ x) (hx₂ : x ≤ 1) (hy₁ : -1 ≤ y) (hy₂ : y ≤ 1) :
arccos x = arccos y ↔ x = y :=
arccos_injOn.eq_iff ⟨hx₁, hx₂⟩ ⟨hy₁, hy₂⟩
#align real.arccos_inj Real.arccos_inj
@[simp]
theorem arccos_zero : arccos 0 = π / 2 := by simp [arccos]
#align real.arccos_zero Real.arccos_zero
@[simp]
theorem arccos_one : arccos 1 = 0 := by simp [arccos]
#align real.arccos_one Real.arccos_one
@[simp]
theorem arccos_neg_one : arccos (-1) = π := by simp [arccos, add_halves]
#align real.arccos_neg_one Real.arccos_neg_one
@[simp]
theorem arccos_eq_zero {x} : arccos x = 0 ↔ 1 ≤ x := by simp [arccos, sub_eq_zero]
#align real.arccos_eq_zero Real.arccos_eq_zero
@[simp]
theorem arccos_eq_pi_div_two {x} : arccos x = π / 2 ↔ x = 0 := by simp [arccos]
#align real.arccos_eq_pi_div_two Real.arccos_eq_pi_div_two
@[simp]
| Mathlib/Analysis/SpecialFunctions/Trigonometric/Inverse.lean | 406 | 407 | theorem arccos_eq_pi {x} : arccos x = π ↔ x ≤ -1 := by |
rw [arccos, sub_eq_iff_eq_add, ← sub_eq_iff_eq_add', div_two_sub_self, neg_pi_div_two_eq_arcsin]
|
import Mathlib.Algebra.MonoidAlgebra.Basic
#align_import algebra.monoid_algebra.division from "leanprover-community/mathlib"@"72c366d0475675f1309d3027d3d7d47ee4423951"
variable {k G : Type*} [Semiring k]
namespace AddMonoidAlgebra
section
variable [AddCancelCommMonoid G]
noncomputable def divOf (x : k[G]) (g : G) : k[G] :=
-- note: comapping by `+ g` has the effect of subtracting `g` from every element in
-- the support, and discarding the elements of the support from which `g` can't be subtracted.
-- If `G` is an additive group, such as `ℤ` when used for `LaurentPolynomial`,
-- then no discarding occurs.
@Finsupp.comapDomain.addMonoidHom _ _ _ _ (g + ·) (add_right_injective g) x
#align add_monoid_algebra.div_of AddMonoidAlgebra.divOf
local infixl:70 " /ᵒᶠ " => divOf
@[simp]
theorem divOf_apply (g : G) (x : k[G]) (g' : G) : (x /ᵒᶠ g) g' = x (g + g') :=
rfl
#align add_monoid_algebra.div_of_apply AddMonoidAlgebra.divOf_apply
@[simp]
theorem support_divOf (g : G) (x : k[G]) :
(x /ᵒᶠ g).support =
x.support.preimage (g + ·) (Function.Injective.injOn (add_right_injective g)) :=
rfl
#align add_monoid_algebra.support_div_of AddMonoidAlgebra.support_divOf
@[simp]
theorem zero_divOf (g : G) : (0 : k[G]) /ᵒᶠ g = 0 :=
map_zero (Finsupp.comapDomain.addMonoidHom _)
#align add_monoid_algebra.zero_div_of AddMonoidAlgebra.zero_divOf
@[simp]
| Mathlib/Algebra/MonoidAlgebra/Division.lean | 77 | 79 | theorem divOf_zero (x : k[G]) : x /ᵒᶠ 0 = x := by |
refine Finsupp.ext fun _ => ?_ -- Porting note: `ext` doesn't work
simp only [AddMonoidAlgebra.divOf_apply, zero_add]
|
import Mathlib.LinearAlgebra.AffineSpace.AffineMap
import Mathlib.Tactic.FieldSimp
#align_import linear_algebra.affine_space.slope from "leanprover-community/mathlib"@"70fd9563a21e7b963887c9360bd29b2393e6225a"
open AffineMap
variable {k E PE : Type*} [Field k] [AddCommGroup E] [Module k E] [AddTorsor E PE]
def slope (f : k → PE) (a b : k) : E :=
(b - a)⁻¹ • (f b -ᵥ f a)
#align slope slope
theorem slope_fun_def (f : k → PE) : slope f = fun a b => (b - a)⁻¹ • (f b -ᵥ f a) :=
rfl
#align slope_fun_def slope_fun_def
theorem slope_def_field (f : k → k) (a b : k) : slope f a b = (f b - f a) / (b - a) :=
(div_eq_inv_mul _ _).symm
#align slope_def_field slope_def_field
theorem slope_fun_def_field (f : k → k) (a : k) : slope f a = fun b => (f b - f a) / (b - a) :=
(div_eq_inv_mul _ _).symm
#align slope_fun_def_field slope_fun_def_field
@[simp]
theorem slope_same (f : k → PE) (a : k) : (slope f a a : E) = 0 := by
rw [slope, sub_self, inv_zero, zero_smul]
#align slope_same slope_same
theorem slope_def_module (f : k → E) (a b : k) : slope f a b = (b - a)⁻¹ • (f b - f a) :=
rfl
#align slope_def_module slope_def_module
@[simp]
theorem sub_smul_slope (f : k → PE) (a b : k) : (b - a) • slope f a b = f b -ᵥ f a := by
rcases eq_or_ne a b with (rfl | hne)
· rw [sub_self, zero_smul, vsub_self]
· rw [slope, smul_inv_smul₀ (sub_ne_zero.2 hne.symm)]
#align sub_smul_slope sub_smul_slope
| Mathlib/LinearAlgebra/AffineSpace/Slope.lean | 62 | 63 | theorem sub_smul_slope_vadd (f : k → PE) (a b : k) : (b - a) • slope f a b +ᵥ f a = f b := by |
rw [sub_smul_slope, vsub_vadd]
|
import Mathlib.Order.Interval.Set.Basic
import Mathlib.Order.Hom.Set
#align_import data.set.intervals.order_iso from "leanprover-community/mathlib"@"d012cd09a9b256d870751284dd6a29882b0be105"
open Set
namespace OrderIso
section Preorder
variable {α β : Type*} [Preorder α] [Preorder β]
@[simp]
theorem preimage_Iic (e : α ≃o β) (b : β) : e ⁻¹' Iic b = Iic (e.symm b) := by
ext x
simp [← e.le_iff_le]
#align order_iso.preimage_Iic OrderIso.preimage_Iic
@[simp]
theorem preimage_Ici (e : α ≃o β) (b : β) : e ⁻¹' Ici b = Ici (e.symm b) := by
ext x
simp [← e.le_iff_le]
#align order_iso.preimage_Ici OrderIso.preimage_Ici
@[simp]
theorem preimage_Iio (e : α ≃o β) (b : β) : e ⁻¹' Iio b = Iio (e.symm b) := by
ext x
simp [← e.lt_iff_lt]
#align order_iso.preimage_Iio OrderIso.preimage_Iio
@[simp]
theorem preimage_Ioi (e : α ≃o β) (b : β) : e ⁻¹' Ioi b = Ioi (e.symm b) := by
ext x
simp [← e.lt_iff_lt]
#align order_iso.preimage_Ioi OrderIso.preimage_Ioi
@[simp]
theorem preimage_Icc (e : α ≃o β) (a b : β) : e ⁻¹' Icc a b = Icc (e.symm a) (e.symm b) := by
simp [← Ici_inter_Iic]
#align order_iso.preimage_Icc OrderIso.preimage_Icc
@[simp]
theorem preimage_Ico (e : α ≃o β) (a b : β) : e ⁻¹' Ico a b = Ico (e.symm a) (e.symm b) := by
simp [← Ici_inter_Iio]
#align order_iso.preimage_Ico OrderIso.preimage_Ico
@[simp]
| Mathlib/Order/Interval/Set/OrderIso.lean | 58 | 59 | theorem preimage_Ioc (e : α ≃o β) (a b : β) : e ⁻¹' Ioc a b = Ioc (e.symm a) (e.symm b) := by |
simp [← Ioi_inter_Iic]
|
import Mathlib.Tactic.CategoryTheory.Coherence
import Mathlib.CategoryTheory.Bicategory.Coherence
namespace CategoryTheory
namespace Bicategory
open Category
open scoped Bicategory
open Mathlib.Tactic.BicategoryCoherence (bicategoricalComp bicategoricalIsoComp)
universe w v u
variable {B : Type u} [Bicategory.{w, v} B] {a b c : B} {f : a ⟶ b} {g : b ⟶ a}
def leftZigzag (η : 𝟙 a ⟶ f ≫ g) (ε : g ≫ f ⟶ 𝟙 b) :=
η ▷ f ⊗≫ f ◁ ε
def rightZigzag (η : 𝟙 a ⟶ f ≫ g) (ε : g ≫ f ⟶ 𝟙 b) :=
g ◁ η ⊗≫ ε ▷ g
theorem rightZigzag_idempotent_of_left_triangle
(η : 𝟙 a ⟶ f ≫ g) (ε : g ≫ f ⟶ 𝟙 b) (h : leftZigzag η ε = (λ_ _).hom ≫ (ρ_ _).inv) :
rightZigzag η ε ⊗≫ rightZigzag η ε = rightZigzag η ε := by
dsimp only [rightZigzag]
calc
_ = g ◁ η ⊗≫ ((ε ▷ g ▷ 𝟙 a) ≫ (𝟙 b ≫ g) ◁ η) ⊗≫ ε ▷ g := by
simp [bicategoricalComp]; coherence
_ = 𝟙 _ ⊗≫ g ◁ (η ▷ 𝟙 a ≫ (f ≫ g) ◁ η) ⊗≫ (ε ▷ (g ≫ f) ≫ 𝟙 b ◁ ε) ▷ g ⊗≫ 𝟙 _ := by
rw [← whisker_exchange]; simp [bicategoricalComp]; coherence
_ = g ◁ η ⊗≫ g ◁ leftZigzag η ε ▷ g ⊗≫ ε ▷ g := by
rw [← whisker_exchange, ← whisker_exchange]; simp [leftZigzag, bicategoricalComp]; coherence
_ = g ◁ η ⊗≫ ε ▷ g := by
rw [h]; simp [bicategoricalComp]; coherence
structure Adjunction (f : a ⟶ b) (g : b ⟶ a) where
unit : 𝟙 a ⟶ f ≫ g
counit : g ≫ f ⟶ 𝟙 b
left_triangle : leftZigzag unit counit = (λ_ _).hom ≫ (ρ_ _).inv := by aesop_cat
right_triangle : rightZigzag unit counit = (ρ_ _).hom ≫ (λ_ _).inv := by aesop_cat
@[inherit_doc] scoped infixr:15 " ⊣ " => Bicategory.Adjunction
namespace Adjunction
attribute [simp] left_triangle right_triangle
attribute [local simp] leftZigzag rightZigzag
def id (a : B) : 𝟙 a ⊣ 𝟙 a where
unit := (ρ_ _).inv
counit := (ρ_ _).hom
left_triangle := by dsimp; coherence
right_triangle := by dsimp; coherence
instance : Inhabited (Adjunction (𝟙 a) (𝟙 a)) :=
⟨id a⟩
noncomputable section
variable (η : 𝟙 a ≅ f ≫ g) (ε : g ≫ f ≅ 𝟙 b)
def leftZigzagIso (η : 𝟙 a ≅ f ≫ g) (ε : g ≫ f ≅ 𝟙 b) :=
whiskerRightIso η f ≪⊗≫ whiskerLeftIso f ε
def rightZigzagIso (η : 𝟙 a ≅ f ≫ g) (ε : g ≫ f ≅ 𝟙 b) :=
whiskerLeftIso g η ≪⊗≫ whiskerRightIso ε g
attribute [local simp] leftZigzagIso rightZigzagIso leftZigzag rightZigzag
@[simp]
theorem leftZigzagIso_hom : (leftZigzagIso η ε).hom = leftZigzag η.hom ε.hom :=
rfl
@[simp]
theorem rightZigzagIso_hom : (rightZigzagIso η ε).hom = rightZigzag η.hom ε.hom :=
rfl
@[simp]
theorem leftZigzagIso_inv : (leftZigzagIso η ε).inv = rightZigzag ε.inv η.inv := by
simp [bicategoricalComp, bicategoricalIsoComp]
@[simp]
| Mathlib/CategoryTheory/Bicategory/Adjunction.lean | 205 | 206 | theorem rightZigzagIso_inv : (rightZigzagIso η ε).inv = leftZigzag ε.inv η.inv := by |
simp [bicategoricalComp, bicategoricalIsoComp]
|
import Mathlib.Analysis.NormedSpace.Multilinear.Basic
import Mathlib.Analysis.NormedSpace.Units
import Mathlib.Analysis.NormedSpace.OperatorNorm.Completeness
import Mathlib.Analysis.NormedSpace.OperatorNorm.Mul
#align_import analysis.normed_space.bounded_linear_maps from "leanprover-community/mathlib"@"ce11c3c2a285bbe6937e26d9792fda4e51f3fe1a"
noncomputable section
open Topology
open Filter (Tendsto)
open Metric ContinuousLinearMap
variable {𝕜 : Type*} [NontriviallyNormedField 𝕜] {E : Type*} [NormedAddCommGroup E]
[NormedSpace 𝕜 E] {F : Type*} [NormedAddCommGroup F] [NormedSpace 𝕜 F] {G : Type*}
[NormedAddCommGroup G] [NormedSpace 𝕜 G]
structure IsBoundedLinearMap (𝕜 : Type*) [NormedField 𝕜] {E : Type*} [NormedAddCommGroup E]
[NormedSpace 𝕜 E] {F : Type*} [NormedAddCommGroup F] [NormedSpace 𝕜 F] (f : E → F) extends
IsLinearMap 𝕜 f : Prop where
bound : ∃ M, 0 < M ∧ ∀ x : E, ‖f x‖ ≤ M * ‖x‖
#align is_bounded_linear_map IsBoundedLinearMap
theorem IsLinearMap.with_bound {f : E → F} (hf : IsLinearMap 𝕜 f) (M : ℝ)
(h : ∀ x : E, ‖f x‖ ≤ M * ‖x‖) : IsBoundedLinearMap 𝕜 f :=
⟨hf,
by_cases
(fun (this : M ≤ 0) =>
⟨1, zero_lt_one, fun x =>
(h x).trans <| mul_le_mul_of_nonneg_right (this.trans zero_le_one) (norm_nonneg x)⟩)
fun (this : ¬M ≤ 0) => ⟨M, lt_of_not_ge this, h⟩⟩
#align is_linear_map.with_bound IsLinearMap.with_bound
theorem ContinuousLinearMap.isBoundedLinearMap (f : E →L[𝕜] F) : IsBoundedLinearMap 𝕜 f :=
{ f.toLinearMap.isLinear with bound := f.bound }
#align continuous_linear_map.is_bounded_linear_map ContinuousLinearMap.isBoundedLinearMap
section
variable {ι : Type*} [Fintype ι]
| Mathlib/Analysis/NormedSpace/BoundedLinearMaps.lean | 217 | 231 | theorem isBoundedLinearMap_prod_multilinear {E : ι → Type*} [∀ i, NormedAddCommGroup (E i)]
[∀ i, NormedSpace 𝕜 (E i)] :
IsBoundedLinearMap 𝕜 fun p : ContinuousMultilinearMap 𝕜 E F × ContinuousMultilinearMap 𝕜 E G =>
p.1.prod p.2 where
map_add p₁ p₂ := by | ext : 1; rfl
map_smul c p := by ext : 1; rfl
bound := by
refine ⟨1, zero_lt_one, fun p ↦ ?_⟩
rw [one_mul]
apply ContinuousMultilinearMap.opNorm_le_bound _ (norm_nonneg _) _
intro m
rw [ContinuousMultilinearMap.prod_apply, norm_prod_le_iff]
constructor
· exact (p.1.le_opNorm m).trans (mul_le_mul_of_nonneg_right (norm_fst_le p) <| by positivity)
· exact (p.2.le_opNorm m).trans (mul_le_mul_of_nonneg_right (norm_snd_le p) <| by positivity)
|
import Mathlib.Algebra.CharP.Defs
import Mathlib.RingTheory.Multiplicity
import Mathlib.RingTheory.PowerSeries.Basic
#align_import ring_theory.power_series.basic from "leanprover-community/mathlib"@"2d5739b61641ee4e7e53eca5688a08f66f2e6a60"
noncomputable section
open Polynomial
open Finset (antidiagonal mem_antidiagonal)
namespace PowerSeries
open Finsupp (single)
variable {R : Type*}
section OrderBasic
open multiplicity
variable [Semiring R] {φ : R⟦X⟧}
theorem exists_coeff_ne_zero_iff_ne_zero : (∃ n : ℕ, coeff R n φ ≠ 0) ↔ φ ≠ 0 := by
refine not_iff_not.mp ?_
push_neg
-- FIXME: the `FunLike.coe` doesn't seem to be picked up in the expression after #8386?
simp [PowerSeries.ext_iff, (coeff R _).map_zero]
#align power_series.exists_coeff_ne_zero_iff_ne_zero PowerSeries.exists_coeff_ne_zero_iff_ne_zero
def order (φ : R⟦X⟧) : PartENat :=
letI := Classical.decEq R
letI := Classical.decEq R⟦X⟧
if h : φ = 0 then ⊤ else Nat.find (exists_coeff_ne_zero_iff_ne_zero.mpr h)
#align power_series.order PowerSeries.order
@[simp]
theorem order_zero : order (0 : R⟦X⟧) = ⊤ :=
dif_pos rfl
#align power_series.order_zero PowerSeries.order_zero
theorem order_finite_iff_ne_zero : (order φ).Dom ↔ φ ≠ 0 := by
simp only [order]
constructor
· split_ifs with h <;> intro H
· simp only [PartENat.top_eq_none, Part.not_none_dom] at H
· exact h
· intro h
simp [h]
#align power_series.order_finite_iff_ne_zero PowerSeries.order_finite_iff_ne_zero
theorem coeff_order (h : (order φ).Dom) : coeff R (φ.order.get h) φ ≠ 0 := by
classical
simp only [order, order_finite_iff_ne_zero.mp h, not_false_iff, dif_neg, PartENat.get_natCast']
generalize_proofs h
exact Nat.find_spec h
#align power_series.coeff_order PowerSeries.coeff_order
theorem order_le (n : ℕ) (h : coeff R n φ ≠ 0) : order φ ≤ n := by
classical
rw [order, dif_neg]
· simp only [PartENat.coe_le_coe]
exact Nat.find_le h
· exact exists_coeff_ne_zero_iff_ne_zero.mp ⟨n, h⟩
#align power_series.order_le PowerSeries.order_le
theorem coeff_of_lt_order (n : ℕ) (h : ↑n < order φ) : coeff R n φ = 0 := by
contrapose! h
exact order_le _ h
#align power_series.coeff_of_lt_order PowerSeries.coeff_of_lt_order
@[simp]
theorem order_eq_top {φ : R⟦X⟧} : φ.order = ⊤ ↔ φ = 0 :=
PartENat.not_dom_iff_eq_top.symm.trans order_finite_iff_ne_zero.not_left
#align power_series.order_eq_top PowerSeries.order_eq_top
theorem nat_le_order (φ : R⟦X⟧) (n : ℕ) (h : ∀ i < n, coeff R i φ = 0) : ↑n ≤ order φ := by
by_contra H; rw [not_le] at H
have : (order φ).Dom := PartENat.dom_of_le_natCast H.le
rw [← PartENat.natCast_get this, PartENat.coe_lt_coe] at H
exact coeff_order this (h _ H)
#align power_series.nat_le_order PowerSeries.nat_le_order
theorem le_order (φ : R⟦X⟧) (n : PartENat) (h : ∀ i : ℕ, ↑i < n → coeff R i φ = 0) :
n ≤ order φ := by
induction n using PartENat.casesOn
· show _ ≤ _
rw [top_le_iff, order_eq_top]
ext i
exact h _ (PartENat.natCast_lt_top i)
· apply nat_le_order
simpa only [PartENat.coe_lt_coe] using h
#align power_series.le_order PowerSeries.le_order
theorem order_eq_nat {φ : R⟦X⟧} {n : ℕ} :
order φ = n ↔ coeff R n φ ≠ 0 ∧ ∀ i, i < n → coeff R i φ = 0 := by
classical
rcases eq_or_ne φ 0 with (rfl | hφ)
· simpa [(coeff R _).map_zero] using (PartENat.natCast_ne_top _).symm
simp [order, dif_neg hφ, Nat.find_eq_iff]
#align power_series.order_eq_nat PowerSeries.order_eq_nat
theorem order_eq {φ : R⟦X⟧} {n : PartENat} :
order φ = n ↔ (∀ i : ℕ, ↑i = n → coeff R i φ ≠ 0) ∧ ∀ i : ℕ, ↑i < n → coeff R i φ = 0 := by
induction n using PartENat.casesOn
· rw [order_eq_top]
constructor
· rintro rfl
constructor <;> intros
· exfalso
exact PartENat.natCast_ne_top ‹_› ‹_›
· exact (coeff _ _).map_zero
· rintro ⟨_h₁, h₂⟩
ext i
exact h₂ i (PartENat.natCast_lt_top i)
· simpa [PartENat.natCast_inj] using order_eq_nat
#align power_series.order_eq PowerSeries.order_eq
theorem le_order_add (φ ψ : R⟦X⟧) : min (order φ) (order ψ) ≤ order (φ + ψ) := by
refine le_order _ _ ?_
simp (config := { contextual := true }) [coeff_of_lt_order]
#align power_series.le_order_add PowerSeries.le_order_add
private theorem order_add_of_order_eq.aux (φ ψ : R⟦X⟧) (_h : order φ ≠ order ψ)
(H : order φ < order ψ) : order (φ + ψ) ≤ order φ ⊓ order ψ := by
suffices order (φ + ψ) = order φ by
rw [le_inf_iff, this]
exact ⟨le_rfl, le_of_lt H⟩
rw [order_eq]
constructor
· intro i hi
rw [← hi] at H
rw [(coeff _ _).map_add, coeff_of_lt_order i H, add_zero]
exact (order_eq_nat.1 hi.symm).1
· intro i hi
rw [(coeff _ _).map_add, coeff_of_lt_order i hi, coeff_of_lt_order i (lt_trans hi H),
zero_add]
-- #align power_series.order_add_of_order_eq.aux power_series.order_add_of_order_eq.aux
theorem order_add_of_order_eq (φ ψ : R⟦X⟧) (h : order φ ≠ order ψ) :
order (φ + ψ) = order φ ⊓ order ψ := by
refine le_antisymm ?_ (le_order_add _ _)
by_cases H₁ : order φ < order ψ
· apply order_add_of_order_eq.aux _ _ h H₁
by_cases H₂ : order ψ < order φ
· simpa only [add_comm, inf_comm] using order_add_of_order_eq.aux _ _ h.symm H₂
exfalso; exact h (le_antisymm (not_lt.1 H₂) (not_lt.1 H₁))
#align power_series.order_add_of_order_eq PowerSeries.order_add_of_order_eq
theorem order_mul_ge (φ ψ : R⟦X⟧) : order φ + order ψ ≤ order (φ * ψ) := by
apply le_order
intro n hn; rw [coeff_mul, Finset.sum_eq_zero]
rintro ⟨i, j⟩ hij
by_cases hi : ↑i < order φ
· rw [coeff_of_lt_order i hi, zero_mul]
by_cases hj : ↑j < order ψ
· rw [coeff_of_lt_order j hj, mul_zero]
rw [not_lt] at hi hj; rw [mem_antidiagonal] at hij
exfalso
apply ne_of_lt (lt_of_lt_of_le hn <| add_le_add hi hj)
rw [← Nat.cast_add, hij]
#align power_series.order_mul_ge PowerSeries.order_mul_ge
theorem order_monomial (n : ℕ) (a : R) [Decidable (a = 0)] :
order (monomial R n a) = if a = 0 then (⊤ : PartENat) else n := by
split_ifs with h
· rw [h, order_eq_top, LinearMap.map_zero]
· rw [order_eq]
constructor <;> intro i hi
· rw [PartENat.natCast_inj] at hi
rwa [hi, coeff_monomial_same]
· rw [PartENat.coe_lt_coe] at hi
rw [coeff_monomial, if_neg]
exact ne_of_lt hi
#align power_series.order_monomial PowerSeries.order_monomial
theorem order_monomial_of_ne_zero (n : ℕ) (a : R) (h : a ≠ 0) : order (monomial R n a) = n := by
classical
rw [order_monomial, if_neg h]
#align power_series.order_monomial_of_ne_zero PowerSeries.order_monomial_of_ne_zero
theorem coeff_mul_of_lt_order {φ ψ : R⟦X⟧} {n : ℕ} (h : ↑n < ψ.order) :
coeff R n (φ * ψ) = 0 := by
suffices coeff R n (φ * ψ) = ∑ p ∈ antidiagonal n, 0 by rw [this, Finset.sum_const_zero]
rw [coeff_mul]
apply Finset.sum_congr rfl
intro x hx
refine mul_eq_zero_of_right (coeff R x.fst φ) (coeff_of_lt_order x.snd (lt_of_le_of_lt ?_ h))
rw [mem_antidiagonal] at hx
norm_cast
omega
#align power_series.coeff_mul_of_lt_order PowerSeries.coeff_mul_of_lt_order
theorem coeff_mul_one_sub_of_lt_order {R : Type*} [CommRing R] {φ ψ : R⟦X⟧} (n : ℕ)
(h : ↑n < ψ.order) : coeff R n (φ * (1 - ψ)) = coeff R n φ := by
simp [coeff_mul_of_lt_order h, mul_sub]
#align power_series.coeff_mul_one_sub_of_lt_order PowerSeries.coeff_mul_one_sub_of_lt_order
| Mathlib/RingTheory/PowerSeries/Order.lean | 250 | 259 | theorem coeff_mul_prod_one_sub_of_lt_order {R ι : Type*} [CommRing R] (k : ℕ) (s : Finset ι)
(φ : R⟦X⟧) (f : ι → R⟦X⟧) :
(∀ i ∈ s, ↑k < (f i).order) → coeff R k (φ * ∏ i ∈ s, (1 - f i)) = coeff R k φ := by |
classical
induction' s using Finset.induction_on with a s ha ih t
· simp
· intro t
simp only [Finset.mem_insert, forall_eq_or_imp] at t
rw [Finset.prod_insert ha, ← mul_assoc, mul_right_comm, coeff_mul_one_sub_of_lt_order _ t.1]
exact ih t.2
|
import Mathlib.AlgebraicGeometry.OpenImmersion
import Mathlib.AlgebraicGeometry.Morphisms.QuasiCompact
import Mathlib.CategoryTheory.MorphismProperty.Composition
import Mathlib.RingTheory.LocalProperties
universe v u
open CategoryTheory
namespace AlgebraicGeometry
class IsClosedImmersion {X Y : Scheme} (f : X ⟶ Y) : Prop where
base_closed : ClosedEmbedding f.1.base
surj_on_stalks : ∀ x, Function.Surjective (PresheafedSpace.stalkMap f.1 x)
namespace IsClosedImmersion
lemma closedEmbedding {X Y : Scheme} (f : X ⟶ Y)
[IsClosedImmersion f] : ClosedEmbedding f.1.base :=
IsClosedImmersion.base_closed
lemma surjective_stalkMap {X Y : Scheme} (f : X ⟶ Y)
[IsClosedImmersion f] (x : X) : Function.Surjective (PresheafedSpace.stalkMap f.1 x) :=
IsClosedImmersion.surj_on_stalks x
instance {X Y : Scheme} (f : X ⟶ Y) [IsIso f] : IsClosedImmersion f where
base_closed := Homeomorph.closedEmbedding <| TopCat.homeoOfIso (asIso f.1.base)
surj_on_stalks := fun _ ↦ (ConcreteCategory.bijective_of_isIso _).2
instance : MorphismProperty.IsMultiplicative @IsClosedImmersion where
id_mem _ := inferInstance
comp_mem {X Y Z} f g hf hg := by
refine ⟨hg.base_closed.comp hf.base_closed, fun x ↦ ?_⟩
erw [PresheafedSpace.stalkMap.comp]
exact (hf.surj_on_stalks x).comp (hg.surj_on_stalks (f.1.1 x))
instance comp {X Y Z : Scheme} (f : X ⟶ Y) (g : Y ⟶ Z) [IsClosedImmersion f]
[IsClosedImmersion g] : IsClosedImmersion (f ≫ g) :=
MorphismProperty.IsStableUnderComposition.comp_mem f g inferInstance inferInstance
lemma respectsIso : MorphismProperty.RespectsIso @IsClosedImmersion := by
constructor <;> intro X Y Z e f hf <;> infer_instance
| Mathlib/AlgebraicGeometry/Morphisms/ClosedImmersion.lean | 79 | 89 | theorem spec_of_surjective {R S : CommRingCat} (f : R ⟶ S) (h : Function.Surjective f) :
IsClosedImmersion (Scheme.specMap f) where
base_closed := PrimeSpectrum.closedEmbedding_comap_of_surjective _ _ h
surj_on_stalks x := by |
erw [← localRingHom_comp_stalkIso, CommRingCat.coe_comp, CommRingCat.coe_comp]
apply Function.Surjective.comp (Function.Surjective.comp _ _) _
· exact (ConcreteCategory.bijective_of_isIso (StructureSheaf.stalkIso S x).inv).2
· exact surjective_localRingHom_of_surjective f h x.asIdeal
· let g := (StructureSheaf.stalkIso ((CommRingCat.of R))
((PrimeSpectrum.comap (CommRingCat.ofHom f)) x)).hom
exact (ConcreteCategory.bijective_of_isIso g).2
|
import Mathlib.FieldTheory.PrimitiveElement
import Mathlib.LinearAlgebra.Determinant
import Mathlib.LinearAlgebra.FiniteDimensional
import Mathlib.LinearAlgebra.Matrix.Charpoly.Minpoly
import Mathlib.LinearAlgebra.Matrix.ToLinearEquiv
import Mathlib.FieldTheory.IsAlgClosed.AlgebraicClosure
import Mathlib.FieldTheory.Galois
#align_import ring_theory.norm from "leanprover-community/mathlib"@"fecd3520d2a236856f254f27714b80dcfe28ea57"
universe u v w
variable {R S T : Type*} [CommRing R] [Ring S]
variable [Algebra R S]
variable {K L F : Type*} [Field K] [Field L] [Field F]
variable [Algebra K L] [Algebra K F]
variable {ι : Type w}
open FiniteDimensional
open LinearMap
open Matrix Polynomial
open scoped Matrix
namespace Algebra
variable (R)
noncomputable def norm : S →* R :=
LinearMap.det.comp (lmul R S).toRingHom.toMonoidHom
#align algebra.norm Algebra.norm
theorem norm_apply (x : S) : norm R x = LinearMap.det (lmul R S x) := rfl
#align algebra.norm_apply Algebra.norm_apply
theorem norm_eq_one_of_not_exists_basis (h : ¬∃ s : Finset S, Nonempty (Basis s R S)) (x : S) :
norm R x = 1 := by rw [norm_apply, LinearMap.det]; split_ifs <;> trivial
#align algebra.norm_eq_one_of_not_exists_basis Algebra.norm_eq_one_of_not_exists_basis
variable {R}
theorem norm_eq_one_of_not_module_finite (h : ¬Module.Finite R S) (x : S) : norm R x = 1 := by
refine norm_eq_one_of_not_exists_basis _ (mt ?_ h) _
rintro ⟨s, ⟨b⟩⟩
exact Module.Finite.of_basis b
#align algebra.norm_eq_one_of_not_module_finite Algebra.norm_eq_one_of_not_module_finite
-- Can't be a `simp` lemma because it depends on a choice of basis
theorem norm_eq_matrix_det [Fintype ι] [DecidableEq ι] (b : Basis ι R S) (s : S) :
norm R s = Matrix.det (Algebra.leftMulMatrix b s) := by
rw [norm_apply, ← LinearMap.det_toMatrix b, ← toMatrix_lmul_eq]; rfl
#align algebra.norm_eq_matrix_det Algebra.norm_eq_matrix_det
theorem norm_algebraMap_of_basis [Fintype ι] (b : Basis ι R S) (x : R) :
norm R (algebraMap R S x) = x ^ Fintype.card ι := by
haveI := Classical.decEq ι
rw [norm_apply, ← det_toMatrix b, lmul_algebraMap]
convert @det_diagonal _ _ _ _ _ fun _ : ι => x
· ext (i j); rw [toMatrix_lsmul]
· rw [Finset.prod_const, Finset.card_univ]
#align algebra.norm_algebra_map_of_basis Algebra.norm_algebraMap_of_basis
@[simp]
protected theorem norm_algebraMap {L : Type*} [Ring L] [Algebra K L] (x : K) :
norm K (algebraMap K L x) = x ^ finrank K L := by
by_cases H : ∃ s : Finset L, Nonempty (Basis s K L)
· rw [norm_algebraMap_of_basis H.choose_spec.some, finrank_eq_card_basis H.choose_spec.some]
· rw [norm_eq_one_of_not_exists_basis K H, finrank_eq_zero_of_not_exists_basis, pow_zero]
rintro ⟨s, ⟨b⟩⟩
exact H ⟨s, ⟨b⟩⟩
#align algebra.norm_algebra_map Algebra.norm_algebraMap
section EqProdRoots
| Mathlib/RingTheory/Norm.lean | 118 | 121 | theorem PowerBasis.norm_gen_eq_coeff_zero_minpoly (pb : PowerBasis R S) :
norm R pb.gen = (-1) ^ pb.dim * coeff (minpoly R pb.gen) 0 := by |
rw [norm_eq_matrix_det pb.basis, det_eq_sign_charpoly_coeff, charpoly_leftMulMatrix,
Fintype.card_fin]
|
import Batteries.Data.RBMap.Basic
import Mathlib.Init.Data.Nat.Notation
import Mathlib.Mathport.Rename
import Mathlib.Tactic.TypeStar
import Mathlib.Util.CompileInductive
#align_import data.tree from "leanprover-community/mathlib"@"ed989ff568099019c6533a4d94b27d852a5710d8"
inductive Tree.{u} (α : Type u) : Type u
| nil : Tree α
| node : α → Tree α → Tree α → Tree α
deriving DecidableEq, Repr -- Porting note: Removed `has_reflect`, added `Repr`.
#align tree Tree
namespace Tree
universe u
variable {α : Type u}
-- Porting note: replaced with `deriving Repr` which builds a better instance anyway
#noalign tree.repr
instance : Inhabited (Tree α) :=
⟨nil⟩
open Batteries (RBNode)
def ofRBNode : RBNode α → Tree α
| RBNode.nil => nil
| RBNode.node _color l key r => node key (ofRBNode l) (ofRBNode r)
#align tree.of_rbnode Tree.ofRBNode
def map {β} (f : α → β) : Tree α → Tree β
| nil => nil
| node a l r => node (f a) (map f l) (map f r)
#align tree.map Tree.map
@[simp]
def numNodes : Tree α → ℕ
| nil => 0
| node _ a b => a.numNodes + b.numNodes + 1
#align tree.num_nodes Tree.numNodes
@[simp]
def numLeaves : Tree α → ℕ
| nil => 1
| node _ a b => a.numLeaves + b.numLeaves
#align tree.num_leaves Tree.numLeaves
@[simp]
def height : Tree α → ℕ
| nil => 0
| node _ a b => max a.height b.height + 1
#align tree.height Tree.height
theorem numLeaves_eq_numNodes_succ (x : Tree α) : x.numLeaves = x.numNodes + 1 := by
induction x <;> simp [*, Nat.add_comm, Nat.add_assoc, Nat.add_left_comm]
#align tree.num_leaves_eq_num_nodes_succ Tree.numLeaves_eq_numNodes_succ
| Mathlib/Data/Tree/Basic.lean | 94 | 96 | theorem numLeaves_pos (x : Tree α) : 0 < x.numLeaves := by |
rw [numLeaves_eq_numNodes_succ]
exact x.numNodes.zero_lt_succ
|
import Mathlib.LinearAlgebra.FiniteDimensional
#align_import linear_algebra.projective_space.basic from "leanprover-community/mathlib"@"c4658a649d216f57e99621708b09dcb3dcccbd23"
variable (K V : Type*) [DivisionRing K] [AddCommGroup V] [Module K V]
def projectivizationSetoid : Setoid { v : V // v ≠ 0 } :=
(MulAction.orbitRel Kˣ V).comap (↑)
#align projectivization_setoid projectivizationSetoid
def Projectivization := Quotient (projectivizationSetoid K V)
#align projectivization Projectivization
scoped[LinearAlgebra.Projectivization] notation "ℙ" => Projectivization
namespace Projectivization
open scoped LinearAlgebra.Projectivization
variable {V}
def mk (v : V) (hv : v ≠ 0) : ℙ K V :=
Quotient.mk'' ⟨v, hv⟩
#align projectivization.mk Projectivization.mk
def mk' (v : { v : V // v ≠ 0 }) : ℙ K V :=
Quotient.mk'' v
#align projectivization.mk' Projectivization.mk'
@[simp]
theorem mk'_eq_mk (v : { v : V // v ≠ 0 }) : mk' K v = mk K ↑v v.2 := rfl
#align projectivization.mk'_eq_mk Projectivization.mk'_eq_mk
instance [Nontrivial V] : Nonempty (ℙ K V) :=
let ⟨v, hv⟩ := exists_ne (0 : V)
⟨mk K v hv⟩
variable {K}
protected noncomputable def rep (v : ℙ K V) : V :=
v.out'
#align projectivization.rep Projectivization.rep
theorem rep_nonzero (v : ℙ K V) : v.rep ≠ 0 :=
v.out'.2
#align projectivization.rep_nonzero Projectivization.rep_nonzero
@[simp]
theorem mk_rep (v : ℙ K V) : mk K v.rep v.rep_nonzero = v := Quotient.out_eq' _
#align projectivization.mk_rep Projectivization.mk_rep
open FiniteDimensional
protected def submodule (v : ℙ K V) : Submodule K V :=
(Quotient.liftOn' v fun v => K ∙ (v : V)) <| by
rintro ⟨a, ha⟩ ⟨b, hb⟩ ⟨x, rfl : x • b = a⟩
exact Submodule.span_singleton_group_smul_eq _ x _
#align projectivization.submodule Projectivization.submodule
variable (K)
theorem mk_eq_mk_iff (v w : V) (hv : v ≠ 0) (hw : w ≠ 0) :
mk K v hv = mk K w hw ↔ ∃ a : Kˣ, a • w = v :=
Quotient.eq''
#align projectivization.mk_eq_mk_iff Projectivization.mk_eq_mk_iff
theorem mk_eq_mk_iff' (v w : V) (hv : v ≠ 0) (hw : w ≠ 0) :
mk K v hv = mk K w hw ↔ ∃ a : K, a • w = v := by
rw [mk_eq_mk_iff K v w hv hw]
constructor
· rintro ⟨a, ha⟩
exact ⟨a, ha⟩
· rintro ⟨a, ha⟩
refine ⟨Units.mk0 a fun c => hv.symm ?_, ha⟩
rwa [c, zero_smul] at ha
#align projectivization.mk_eq_mk_iff' Projectivization.mk_eq_mk_iff'
theorem exists_smul_eq_mk_rep (v : V) (hv : v ≠ 0) : ∃ a : Kˣ, a • v = (mk K v hv).rep :=
(mk_eq_mk_iff K _ _ (rep_nonzero _) hv).1 (mk_rep _)
#align projectivization.exists_smul_eq_mk_rep Projectivization.exists_smul_eq_mk_rep
variable {K}
@[elab_as_elim]
theorem ind {P : ℙ K V → Prop} (h : ∀ (v : V) (h : v ≠ 0), P (mk K v h)) : ∀ p, P p :=
Quotient.ind' <| Subtype.rec <| h
#align projectivization.ind Projectivization.ind
@[simp]
theorem submodule_mk (v : V) (hv : v ≠ 0) : (mk K v hv).submodule = K ∙ v :=
rfl
#align projectivization.submodule_mk Projectivization.submodule_mk
theorem submodule_eq (v : ℙ K V) : v.submodule = K ∙ v.rep := by
conv_lhs => rw [← v.mk_rep]
rfl
#align projectivization.submodule_eq Projectivization.submodule_eq
theorem finrank_submodule (v : ℙ K V) : finrank K v.submodule = 1 := by
rw [submodule_eq]
exact finrank_span_singleton v.rep_nonzero
#align projectivization.finrank_submodule Projectivization.finrank_submodule
instance (v : ℙ K V) : FiniteDimensional K v.submodule := by
rw [← v.mk_rep]
change FiniteDimensional K (K ∙ v.rep)
infer_instance
theorem submodule_injective :
Function.Injective (Projectivization.submodule : ℙ K V → Submodule K V) := fun u v h ↦ by
induction' u using ind with u hu
induction' v using ind with v hv
rw [submodule_mk, submodule_mk, Submodule.span_singleton_eq_span_singleton] at h
exact ((mk_eq_mk_iff K v u hv hu).2 h).symm
#align projectivization.submodule_injective Projectivization.submodule_injective
variable (K V)
noncomputable def equivSubmodule : ℙ K V ≃ { H : Submodule K V // finrank K H = 1 } :=
(Equiv.ofInjective _ submodule_injective).trans <| .subtypeEquiv (.refl _) fun H ↦ by
refine ⟨fun ⟨v, hv⟩ ↦ hv ▸ v.finrank_submodule, fun h ↦ ?_⟩
rcases finrank_eq_one_iff'.1 h with ⟨v : H, hv₀, hv : ∀ w : H, _⟩
use mk K (v : V) (Subtype.coe_injective.ne hv₀)
rw [submodule_mk, SetLike.ext'_iff, Submodule.span_singleton_eq_range]
refine (Set.range_subset_iff.2 fun _ ↦ H.smul_mem _ v.2).antisymm fun x hx ↦ ?_
rcases hv ⟨x, hx⟩ with ⟨c, hc⟩
exact ⟨c, congr_arg Subtype.val hc⟩
#align projectivization.equiv_submodule Projectivization.equivSubmodule
variable {K V}
noncomputable def mk'' (H : Submodule K V) (h : finrank K H = 1) : ℙ K V :=
(equivSubmodule K V).symm ⟨H, h⟩
#align projectivization.mk'' Projectivization.mk''
@[simp]
theorem submodule_mk'' (H : Submodule K V) (h : finrank K H = 1) : (mk'' H h).submodule = H :=
congr_arg Subtype.val <| (equivSubmodule K V).apply_symm_apply ⟨H, h⟩
#align projectivization.submodule_mk'' Projectivization.submodule_mk''
@[simp]
theorem mk''_submodule (v : ℙ K V) : mk'' v.submodule v.finrank_submodule = v :=
(equivSubmodule K V).symm_apply_apply v
#align projectivization.mk''_submodule Projectivization.mk''_submodule
section Map
variable {L W : Type*} [DivisionRing L] [AddCommGroup W] [Module L W]
def map {σ : K →+* L} (f : V →ₛₗ[σ] W) (hf : Function.Injective f) : ℙ K V → ℙ L W :=
Quotient.map' (fun v => ⟨f v, fun c => v.2 (hf (by simp [c]))⟩)
(by
rintro ⟨u, hu⟩ ⟨v, hv⟩ ⟨a, ha⟩
use Units.map σ.toMonoidHom a
dsimp at ha ⊢
erw [← f.map_smulₛₗ, ha])
#align projectivization.map Projectivization.map
theorem map_mk {σ : K →+* L} (f : V →ₛₗ[σ] W) (hf : Function.Injective f) (v : V) (hv : v ≠ 0) :
map f hf (mk K v hv) = mk L (f v) (map_zero f ▸ hf.ne hv) :=
rfl
theorem map_injective {σ : K →+* L} {τ : L →+* K} [RingHomInvPair σ τ] (f : V →ₛₗ[σ] W)
(hf : Function.Injective f) : Function.Injective (map f hf) := fun u v h ↦ by
induction' u using ind with u hu; induction' v using ind with v hv
simp only [map_mk, mk_eq_mk_iff'] at h ⊢
rcases h with ⟨a, ha⟩
refine ⟨τ a, hf ?_⟩
rwa [f.map_smulₛₗ, RingHomInvPair.comp_apply_eq₂]
#align projectivization.map_injective Projectivization.map_injective
@[simp]
theorem map_id : map (LinearMap.id : V →ₗ[K] V) (LinearEquiv.refl K V).injective = id := by
ext ⟨v⟩
rfl
#align projectivization.map_id Projectivization.map_id
-- Porting note: removed `@[simp]` because of unusable `hg.comp hf` in the LHS
| Mathlib/LinearAlgebra/Projectivization/Basic.lean | 228 | 233 | theorem map_comp {F U : Type*} [Field F] [AddCommGroup U] [Module F U] {σ : K →+* L} {τ : L →+* F}
{γ : K →+* F} [RingHomCompTriple σ τ γ] (f : V →ₛₗ[σ] W) (hf : Function.Injective f)
(g : W →ₛₗ[τ] U) (hg : Function.Injective g) :
map (g.comp f) (hg.comp hf) = map g hg ∘ map f hf := by |
ext ⟨v⟩
rfl
|
import Mathlib.Analysis.Calculus.Deriv.Basic
import Mathlib.Analysis.Calculus.FDeriv.Mul
import Mathlib.Analysis.Calculus.FDeriv.Add
#align_import analysis.calculus.deriv.mul from "leanprover-community/mathlib"@"3bce8d800a6f2b8f63fe1e588fd76a9ff4adcebe"
universe u v w
noncomputable section
open scoped Classical Topology Filter ENNReal
open Filter Asymptotics Set
open ContinuousLinearMap (smulRight smulRight_one_eq_iff)
variable {𝕜 : Type u} [NontriviallyNormedField 𝕜]
variable {F : Type v} [NormedAddCommGroup F] [NormedSpace 𝕜 F]
variable {E : Type w} [NormedAddCommGroup E] [NormedSpace 𝕜 E]
variable {G : Type*} [NormedAddCommGroup G] [NormedSpace 𝕜 G]
variable {f f₀ f₁ g : 𝕜 → F}
variable {f' f₀' f₁' g' : F}
variable {x : 𝕜}
variable {s t : Set 𝕜}
variable {L L₁ L₂ : Filter 𝕜}
section SMul
variable {𝕜' : Type*} [NontriviallyNormedField 𝕜'] [NormedAlgebra 𝕜 𝕜'] [NormedSpace 𝕜' F]
[IsScalarTower 𝕜 𝕜' F] {c : 𝕜 → 𝕜'} {c' : 𝕜'}
| Mathlib/Analysis/Calculus/Deriv/Mul.lean | 87 | 89 | theorem HasDerivWithinAt.smul (hc : HasDerivWithinAt c c' s x) (hf : HasDerivWithinAt f f' s x) :
HasDerivWithinAt (fun y => c y • f y) (c x • f' + c' • f x) s x := by |
simpa using (HasFDerivWithinAt.smul hc hf).hasDerivWithinAt
|
import Mathlib.Algebra.Algebra.Subalgebra.Pointwise
import Mathlib.AlgebraicGeometry.PrimeSpectrum.Maximal
import Mathlib.AlgebraicGeometry.PrimeSpectrum.Noetherian
import Mathlib.RingTheory.ChainOfDivisors
import Mathlib.RingTheory.DedekindDomain.Basic
import Mathlib.RingTheory.FractionalIdeal.Operations
#align_import ring_theory.dedekind_domain.ideal from "leanprover-community/mathlib"@"2bbc7e3884ba234309d2a43b19144105a753292e"
variable (R A K : Type*) [CommRing R] [CommRing A] [Field K]
open scoped nonZeroDivisors Polynomial
section Inverse
section IsDedekindDomain
variable {R A}
variable [IsDedekindDomain A] [Algebra A K] [IsFractionRing A K]
open FractionalIdeal
open Ideal
noncomputable instance FractionalIdeal.semifield : Semifield (FractionalIdeal A⁰ K) where
__ := coeIdeal_injective.nontrivial
inv_zero := inv_zero' _
div_eq_mul_inv := FractionalIdeal.div_eq_mul_inv
mul_inv_cancel _ := FractionalIdeal.mul_inv_cancel
nnqsmul := _
#align fractional_ideal.semifield FractionalIdeal.semifield
instance FractionalIdeal.cancelCommMonoidWithZero :
CancelCommMonoidWithZero (FractionalIdeal A⁰ K) where
__ : CommSemiring (FractionalIdeal A⁰ K) := inferInstance
#align fractional_ideal.cancel_comm_monoid_with_zero FractionalIdeal.cancelCommMonoidWithZero
instance Ideal.cancelCommMonoidWithZero : CancelCommMonoidWithZero (Ideal A) :=
{ Function.Injective.cancelCommMonoidWithZero (coeIdealHom A⁰ (FractionRing A)) coeIdeal_injective
(RingHom.map_zero _) (RingHom.map_one _) (RingHom.map_mul _) (RingHom.map_pow _) with }
#align ideal.cancel_comm_monoid_with_zero Ideal.cancelCommMonoidWithZero
-- Porting note: Lean can infer all it needs by itself
instance Ideal.isDomain : IsDomain (Ideal A) := { }
#align ideal.is_domain Ideal.isDomain
theorem Ideal.dvd_iff_le {I J : Ideal A} : I ∣ J ↔ J ≤ I :=
⟨Ideal.le_of_dvd, fun h => by
by_cases hI : I = ⊥
· have hJ : J = ⊥ := by rwa [hI, ← eq_bot_iff] at h
rw [hI, hJ]
have hI' : (I : FractionalIdeal A⁰ (FractionRing A)) ≠ 0 := coeIdeal_ne_zero.mpr hI
have : (I : FractionalIdeal A⁰ (FractionRing A))⁻¹ * J ≤ 1 :=
le_trans (mul_left_mono (↑I)⁻¹ ((coeIdeal_le_coeIdeal _).mpr h))
(le_of_eq (inv_mul_cancel hI'))
obtain ⟨H, hH⟩ := le_one_iff_exists_coeIdeal.mp this
use H
refine coeIdeal_injective (show (J : FractionalIdeal A⁰ (FractionRing A)) = ↑(I * H) from ?_)
rw [coeIdeal_mul, hH, ← mul_assoc, mul_inv_cancel hI', one_mul]⟩
#align ideal.dvd_iff_le Ideal.dvd_iff_le
theorem Ideal.dvdNotUnit_iff_lt {I J : Ideal A} : DvdNotUnit I J ↔ J < I :=
⟨fun ⟨hI, H, hunit, hmul⟩ =>
lt_of_le_of_ne (Ideal.dvd_iff_le.mp ⟨H, hmul⟩)
(mt
(fun h =>
have : H = 1 := mul_left_cancel₀ hI (by rw [← hmul, h, mul_one])
show IsUnit H from this.symm ▸ isUnit_one)
hunit),
fun h =>
dvdNotUnit_of_dvd_of_not_dvd (Ideal.dvd_iff_le.mpr (le_of_lt h))
(mt Ideal.dvd_iff_le.mp (not_le_of_lt h))⟩
#align ideal.dvd_not_unit_iff_lt Ideal.dvdNotUnit_iff_lt
instance : WfDvdMonoid (Ideal A) where
wellFounded_dvdNotUnit := by
have : WellFounded ((· > ·) : Ideal A → Ideal A → Prop) :=
isNoetherian_iff_wellFounded.mp (isNoetherianRing_iff.mp IsDedekindRing.toIsNoetherian)
convert this
ext
rw [Ideal.dvdNotUnit_iff_lt]
instance Ideal.uniqueFactorizationMonoid : UniqueFactorizationMonoid (Ideal A) :=
{ irreducible_iff_prime := by
intro P
exact ⟨fun hirr => ⟨hirr.ne_zero, hirr.not_unit, fun I J => by
have : P.IsMaximal := by
refine ⟨⟨mt Ideal.isUnit_iff.mpr hirr.not_unit, ?_⟩⟩
intro J hJ
obtain ⟨_J_ne, H, hunit, P_eq⟩ := Ideal.dvdNotUnit_iff_lt.mpr hJ
exact Ideal.isUnit_iff.mp ((hirr.isUnit_or_isUnit P_eq).resolve_right hunit)
rw [Ideal.dvd_iff_le, Ideal.dvd_iff_le, Ideal.dvd_iff_le, SetLike.le_def, SetLike.le_def,
SetLike.le_def]
contrapose!
rintro ⟨⟨x, x_mem, x_not_mem⟩, ⟨y, y_mem, y_not_mem⟩⟩
exact
⟨x * y, Ideal.mul_mem_mul x_mem y_mem,
mt this.isPrime.mem_or_mem (not_or_of_not x_not_mem y_not_mem)⟩⟩, Prime.irreducible⟩ }
#align ideal.unique_factorization_monoid Ideal.uniqueFactorizationMonoid
instance Ideal.normalizationMonoid : NormalizationMonoid (Ideal A) :=
normalizationMonoidOfUniqueUnits
#align ideal.normalization_monoid Ideal.normalizationMonoid
@[simp]
theorem Ideal.dvd_span_singleton {I : Ideal A} {x : A} : I ∣ Ideal.span {x} ↔ x ∈ I :=
Ideal.dvd_iff_le.trans (Ideal.span_le.trans Set.singleton_subset_iff)
#align ideal.dvd_span_singleton Ideal.dvd_span_singleton
theorem Ideal.isPrime_of_prime {P : Ideal A} (h : Prime P) : IsPrime P := by
refine ⟨?_, fun hxy => ?_⟩
· rintro rfl
rw [← Ideal.one_eq_top] at h
exact h.not_unit isUnit_one
· simp only [← Ideal.dvd_span_singleton, ← Ideal.span_singleton_mul_span_singleton] at hxy ⊢
exact h.dvd_or_dvd hxy
#align ideal.is_prime_of_prime Ideal.isPrime_of_prime
theorem Ideal.prime_of_isPrime {P : Ideal A} (hP : P ≠ ⊥) (h : IsPrime P) : Prime P := by
refine ⟨hP, mt Ideal.isUnit_iff.mp h.ne_top, fun I J hIJ => ?_⟩
simpa only [Ideal.dvd_iff_le] using h.mul_le.mp (Ideal.le_of_dvd hIJ)
#align ideal.prime_of_is_prime Ideal.prime_of_isPrime
theorem Ideal.prime_iff_isPrime {P : Ideal A} (hP : P ≠ ⊥) : Prime P ↔ IsPrime P :=
⟨Ideal.isPrime_of_prime, Ideal.prime_of_isPrime hP⟩
#align ideal.prime_iff_is_prime Ideal.prime_iff_isPrime
theorem Ideal.isPrime_iff_bot_or_prime {P : Ideal A} : IsPrime P ↔ P = ⊥ ∨ Prime P :=
⟨fun hp => (eq_or_ne P ⊥).imp_right fun hp0 => Ideal.prime_of_isPrime hp0 hp, fun hp =>
hp.elim (fun h => h.symm ▸ Ideal.bot_prime) Ideal.isPrime_of_prime⟩
#align ideal.is_prime_iff_bot_or_prime Ideal.isPrime_iff_bot_or_prime
@[simp]
theorem Ideal.prime_span_singleton_iff {a : A} : Prime (Ideal.span {a}) ↔ Prime a := by
rcases eq_or_ne a 0 with rfl | ha
· rw [Set.singleton_zero, span_zero, ← Ideal.zero_eq_bot, ← not_iff_not]
simp only [not_prime_zero, not_false_eq_true]
· have ha' : span {a} ≠ ⊥ := by simpa only [ne_eq, span_singleton_eq_bot] using ha
rw [Ideal.prime_iff_isPrime ha', Ideal.span_singleton_prime ha]
open Submodule.IsPrincipal in
theorem Ideal.prime_generator_of_prime {P : Ideal A} (h : Prime P) [P.IsPrincipal] :
Prime (generator P) :=
have : Ideal.IsPrime P := Ideal.isPrime_of_prime h
prime_generator_of_isPrime _ h.ne_zero
open UniqueFactorizationMonoid in
nonrec theorem Ideal.mem_normalizedFactors_iff {p I : Ideal A} (hI : I ≠ ⊥) :
p ∈ normalizedFactors I ↔ p.IsPrime ∧ I ≤ p := by
rw [← Ideal.dvd_iff_le]
by_cases hp : p = 0
· rw [← zero_eq_bot] at hI
simp only [hp, zero_not_mem_normalizedFactors, zero_dvd_iff, hI, false_iff, not_and,
not_false_eq_true, implies_true]
· rwa [mem_normalizedFactors_iff hI, prime_iff_isPrime]
theorem Ideal.pow_right_strictAnti (I : Ideal A) (hI0 : I ≠ ⊥) (hI1 : I ≠ ⊤) :
StrictAnti (I ^ · : ℕ → Ideal A) :=
strictAnti_nat_of_succ_lt fun e =>
Ideal.dvdNotUnit_iff_lt.mp ⟨pow_ne_zero _ hI0, I, mt isUnit_iff.mp hI1, pow_succ I e⟩
#align ideal.strict_anti_pow Ideal.pow_right_strictAnti
theorem Ideal.pow_lt_self (I : Ideal A) (hI0 : I ≠ ⊥) (hI1 : I ≠ ⊤) (e : ℕ) (he : 2 ≤ e) :
I ^ e < I := by
convert I.pow_right_strictAnti hI0 hI1 he
dsimp only
rw [pow_one]
#align ideal.pow_lt_self Ideal.pow_lt_self
theorem Ideal.exists_mem_pow_not_mem_pow_succ (I : Ideal A) (hI0 : I ≠ ⊥) (hI1 : I ≠ ⊤) (e : ℕ) :
∃ x ∈ I ^ e, x ∉ I ^ (e + 1) :=
SetLike.exists_of_lt (I.pow_right_strictAnti hI0 hI1 e.lt_succ_self)
#align ideal.exists_mem_pow_not_mem_pow_succ Ideal.exists_mem_pow_not_mem_pow_succ
open UniqueFactorizationMonoid
theorem Ideal.eq_prime_pow_of_succ_lt_of_le {P I : Ideal A} [P_prime : P.IsPrime] (hP : P ≠ ⊥)
{i : ℕ} (hlt : P ^ (i + 1) < I) (hle : I ≤ P ^ i) : I = P ^ i := by
refine le_antisymm hle ?_
have P_prime' := Ideal.prime_of_isPrime hP P_prime
have h1 : I ≠ ⊥ := (lt_of_le_of_lt bot_le hlt).ne'
have := pow_ne_zero i hP
have h3 := pow_ne_zero (i + 1) hP
rw [← Ideal.dvdNotUnit_iff_lt, dvdNotUnit_iff_normalizedFactors_lt_normalizedFactors h1 h3,
normalizedFactors_pow, normalizedFactors_irreducible P_prime'.irreducible,
Multiset.nsmul_singleton, Multiset.lt_replicate_succ] at hlt
rw [← Ideal.dvd_iff_le, dvd_iff_normalizedFactors_le_normalizedFactors, normalizedFactors_pow,
normalizedFactors_irreducible P_prime'.irreducible, Multiset.nsmul_singleton]
all_goals assumption
#align ideal.eq_prime_pow_of_succ_lt_of_le Ideal.eq_prime_pow_of_succ_lt_of_le
theorem Ideal.pow_succ_lt_pow {P : Ideal A} [P_prime : P.IsPrime] (hP : P ≠ ⊥) (i : ℕ) :
P ^ (i + 1) < P ^ i :=
lt_of_le_of_ne (Ideal.pow_le_pow_right (Nat.le_succ _))
(mt (pow_eq_pow_iff hP (mt Ideal.isUnit_iff.mp P_prime.ne_top)).mp i.succ_ne_self)
#align ideal.pow_succ_lt_pow Ideal.pow_succ_lt_pow
theorem Associates.le_singleton_iff (x : A) (n : ℕ) (I : Ideal A) :
Associates.mk I ^ n ≤ Associates.mk (Ideal.span {x}) ↔ x ∈ I ^ n := by
simp_rw [← Associates.dvd_eq_le, ← Associates.mk_pow, Associates.mk_dvd_mk,
Ideal.dvd_span_singleton]
#align associates.le_singleton_iff Associates.le_singleton_iff
variable {K}
lemma FractionalIdeal.le_inv_comm {I J : FractionalIdeal A⁰ K} (hI : I ≠ 0) (hJ : J ≠ 0) :
I ≤ J⁻¹ ↔ J ≤ I⁻¹ := by
rw [inv_eq, inv_eq, le_div_iff_mul_le hI, le_div_iff_mul_le hJ, mul_comm]
lemma FractionalIdeal.inv_le_comm {I J : FractionalIdeal A⁰ K} (hI : I ≠ 0) (hJ : J ≠ 0) :
I⁻¹ ≤ J ↔ J⁻¹ ≤ I := by
simpa using le_inv_comm (A := A) (K := K) (inv_ne_zero hI) (inv_ne_zero hJ)
open FractionalIdeal
theorem Ideal.exist_integer_multiples_not_mem {J : Ideal A} (hJ : J ≠ ⊤) {ι : Type*} (s : Finset ι)
(f : ι → K) {j} (hjs : j ∈ s) (hjf : f j ≠ 0) :
∃ a : K,
(∀ i ∈ s, IsLocalization.IsInteger A (a * f i)) ∧
∃ i ∈ s, a * f i ∉ (J : FractionalIdeal A⁰ K) := by
-- Consider the fractional ideal `I` spanned by the `f`s.
let I : FractionalIdeal A⁰ K := spanFinset A s f
have hI0 : I ≠ 0 := spanFinset_ne_zero.mpr ⟨j, hjs, hjf⟩
-- We claim the multiplier `a` we're looking for is in `I⁻¹ \ (J / I)`.
suffices ↑J / I < I⁻¹ by
obtain ⟨_, a, hI, hpI⟩ := SetLike.lt_iff_le_and_exists.mp this
rw [mem_inv_iff hI0] at hI
refine ⟨a, fun i hi => ?_, ?_⟩
-- By definition, `a ∈ I⁻¹` multiplies elements of `I` into elements of `1`,
-- in other words, `a * f i` is an integer.
· exact (mem_one_iff _).mp (hI (f i) (Submodule.subset_span (Set.mem_image_of_mem f hi)))
· contrapose! hpI
-- And if all `a`-multiples of `I` are an element of `J`,
-- then `a` is actually an element of `J / I`, contradiction.
refine (mem_div_iff_of_nonzero hI0).mpr fun y hy => Submodule.span_induction hy ?_ ?_ ?_ ?_
· rintro _ ⟨i, hi, rfl⟩; exact hpI i hi
· rw [mul_zero]; exact Submodule.zero_mem _
· intro x y hx hy; rw [mul_add]; exact Submodule.add_mem _ hx hy
· intro b x hx; rw [mul_smul_comm]; exact Submodule.smul_mem _ b hx
-- To show the inclusion of `J / I` into `I⁻¹ = 1 / I`, note that `J < I`.
calc
↑J / I = ↑J * I⁻¹ := div_eq_mul_inv (↑J) I
_ < 1 * I⁻¹ := mul_right_strictMono (inv_ne_zero hI0) ?_
_ = I⁻¹ := one_mul _
rw [← coeIdeal_top]
-- And multiplying by `I⁻¹` is indeed strictly monotone.
exact
strictMono_of_le_iff_le (fun _ _ => (coeIdeal_le_coeIdeal K).symm)
(lt_top_iff_ne_top.mpr hJ)
#align ideal.exist_integer_multiples_not_mem Ideal.exist_integer_multiples_not_mem
section Gcd
namespace IsDedekindDomain
variable [IsDedekindDomain R]
-- Porting note(#5171): removed `has_nonempty_instance`, linter doesn't exist yet
@[ext, nolint unusedArguments]
structure HeightOneSpectrum where
asIdeal : Ideal R
isPrime : asIdeal.IsPrime
ne_bot : asIdeal ≠ ⊥
#align is_dedekind_domain.height_one_spectrum IsDedekindDomain.HeightOneSpectrum
attribute [instance] HeightOneSpectrum.isPrime
variable (v : HeightOneSpectrum R) {R}
section
open Ideal
variable {R A}
variable [IsDedekindDomain A] {I : Ideal R} {J : Ideal A}
@[simps] -- Porting note: use `Subtype` instead of `Set` to make linter happy
def idealFactorsFunOfQuotHom {f : R ⧸ I →+* A ⧸ J} (hf : Function.Surjective f) :
{p : Ideal R // p ∣ I} →o {p : Ideal A // p ∣ J} where
toFun X := ⟨comap (Ideal.Quotient.mk J) (map f (map (Ideal.Quotient.mk I) X)), by
have : RingHom.ker (Ideal.Quotient.mk J) ≤
comap (Ideal.Quotient.mk J) (map f (map (Ideal.Quotient.mk I) X)) :=
ker_le_comap (Ideal.Quotient.mk J)
rw [mk_ker] at this
exact dvd_iff_le.mpr this⟩
monotone' := by
rintro ⟨X, hX⟩ ⟨Y, hY⟩ h
rw [← Subtype.coe_le_coe, Subtype.coe_mk, Subtype.coe_mk] at h ⊢
rw [Subtype.coe_mk, comap_le_comap_iff_of_surjective (Ideal.Quotient.mk J)
Quotient.mk_surjective, map_le_iff_le_comap, Subtype.coe_mk, comap_map_of_surjective _ hf
(map (Ideal.Quotient.mk I) Y)]
suffices map (Ideal.Quotient.mk I) X ≤ map (Ideal.Quotient.mk I) Y by
exact le_sup_of_le_left this
rwa [map_le_iff_le_comap, comap_map_of_surjective (Ideal.Quotient.mk I)
Quotient.mk_surjective, ← RingHom.ker_eq_comap_bot, mk_ker, sup_eq_left.mpr <| le_of_dvd hY]
#align ideal_factors_fun_of_quot_hom idealFactorsFunOfQuotHom
#align ideal_factors_fun_of_quot_hom_coe_coe idealFactorsFunOfQuotHom_coe_coe
@[simp]
theorem idealFactorsFunOfQuotHom_id :
idealFactorsFunOfQuotHom (RingHom.id (A ⧸ J)).surjective = OrderHom.id :=
OrderHom.ext _ _
(funext fun X => by
simp only [idealFactorsFunOfQuotHom, map_id, OrderHom.coe_mk, OrderHom.id_coe, id,
comap_map_of_surjective (Ideal.Quotient.mk J) Quotient.mk_surjective, ←
RingHom.ker_eq_comap_bot (Ideal.Quotient.mk J), mk_ker,
sup_eq_left.mpr (dvd_iff_le.mp X.prop), Subtype.coe_eta])
#align ideal_factors_fun_of_quot_hom_id idealFactorsFunOfQuotHom_id
variable {B : Type*} [CommRing B] [IsDedekindDomain B] {L : Ideal B}
theorem idealFactorsFunOfQuotHom_comp {f : R ⧸ I →+* A ⧸ J} {g : A ⧸ J →+* B ⧸ L}
(hf : Function.Surjective f) (hg : Function.Surjective g) :
(idealFactorsFunOfQuotHom hg).comp (idealFactorsFunOfQuotHom hf) =
idealFactorsFunOfQuotHom (show Function.Surjective (g.comp f) from hg.comp hf) := by
refine OrderHom.ext _ _ (funext fun x => ?_)
rw [idealFactorsFunOfQuotHom, idealFactorsFunOfQuotHom, OrderHom.comp_coe, OrderHom.coe_mk,
OrderHom.coe_mk, Function.comp_apply, idealFactorsFunOfQuotHom, OrderHom.coe_mk,
Subtype.mk_eq_mk, Subtype.coe_mk, map_comap_of_surjective (Ideal.Quotient.mk J)
Quotient.mk_surjective, map_map]
#align ideal_factors_fun_of_quot_hom_comp idealFactorsFunOfQuotHom_comp
variable [IsDedekindDomain R] (f : R ⧸ I ≃+* A ⧸ J)
-- @[simps] -- Porting note: simpNF complains about the lemmas generated by simps
def idealFactorsEquivOfQuotEquiv : { p : Ideal R | p ∣ I } ≃o { p : Ideal A | p ∣ J } := by
have f_surj : Function.Surjective (f : R ⧸ I →+* A ⧸ J) := f.surjective
have fsym_surj : Function.Surjective (f.symm : A ⧸ J →+* R ⧸ I) := f.symm.surjective
refine OrderIso.ofHomInv (idealFactorsFunOfQuotHom f_surj) (idealFactorsFunOfQuotHom fsym_surj)
?_ ?_
· have := idealFactorsFunOfQuotHom_comp fsym_surj f_surj
simp only [RingEquiv.comp_symm, idealFactorsFunOfQuotHom_id] at this
rw [← this, OrderHom.coe_eq, OrderHom.coe_eq]
· have := idealFactorsFunOfQuotHom_comp f_surj fsym_surj
simp only [RingEquiv.symm_comp, idealFactorsFunOfQuotHom_id] at this
rw [← this, OrderHom.coe_eq, OrderHom.coe_eq]
#align ideal_factors_equiv_of_quot_equiv idealFactorsEquivOfQuotEquiv
theorem idealFactorsEquivOfQuotEquiv_symm :
(idealFactorsEquivOfQuotEquiv f).symm = idealFactorsEquivOfQuotEquiv f.symm := rfl
#align ideal_factors_equiv_of_quot_equiv_symm idealFactorsEquivOfQuotEquiv_symm
theorem idealFactorsEquivOfQuotEquiv_is_dvd_iso {L M : Ideal R} (hL : L ∣ I) (hM : M ∣ I) :
(idealFactorsEquivOfQuotEquiv f ⟨L, hL⟩ : Ideal A) ∣ idealFactorsEquivOfQuotEquiv f ⟨M, hM⟩ ↔
L ∣ M := by
suffices
idealFactorsEquivOfQuotEquiv f ⟨M, hM⟩ ≤ idealFactorsEquivOfQuotEquiv f ⟨L, hL⟩ ↔
(⟨M, hM⟩ : { p : Ideal R | p ∣ I }) ≤ ⟨L, hL⟩
by rw [dvd_iff_le, dvd_iff_le, Subtype.coe_le_coe, this, Subtype.mk_le_mk]
exact (idealFactorsEquivOfQuotEquiv f).le_iff_le
#align ideal_factors_equiv_of_quot_equiv_is_dvd_iso idealFactorsEquivOfQuotEquiv_is_dvd_iso
open UniqueFactorizationMonoid
variable [DecidableEq (Ideal R)] [DecidableEq (Ideal A)]
theorem idealFactorsEquivOfQuotEquiv_mem_normalizedFactors_of_mem_normalizedFactors (hJ : J ≠ ⊥)
{L : Ideal R} (hL : L ∈ normalizedFactors I) :
↑(idealFactorsEquivOfQuotEquiv f ⟨L, dvd_of_mem_normalizedFactors hL⟩)
∈ normalizedFactors J := by
have hI : I ≠ ⊥ := by
intro hI
rw [hI, bot_eq_zero, normalizedFactors_zero, ← Multiset.empty_eq_zero] at hL
exact Finset.not_mem_empty _ hL
refine mem_normalizedFactors_factor_dvd_iso_of_mem_normalizedFactors hI hJ hL
(d := (idealFactorsEquivOfQuotEquiv f).toEquiv) ?_
rintro ⟨l, hl⟩ ⟨l', hl'⟩
rw [Subtype.coe_mk, Subtype.coe_mk]
apply idealFactorsEquivOfQuotEquiv_is_dvd_iso f
#align ideal_factors_equiv_of_quot_equiv_mem_normalized_factors_of_mem_normalized_factors idealFactorsEquivOfQuotEquiv_mem_normalizedFactors_of_mem_normalizedFactors
-- @[simps apply] -- Porting note: simpNF complains about the lemmas generated by simps
def normalizedFactorsEquivOfQuotEquiv (hI : I ≠ ⊥) (hJ : J ≠ ⊥) :
{ L : Ideal R | L ∈ normalizedFactors I } ≃ { M : Ideal A | M ∈ normalizedFactors J } where
toFun j :=
⟨idealFactorsEquivOfQuotEquiv f ⟨↑j, dvd_of_mem_normalizedFactors j.prop⟩,
idealFactorsEquivOfQuotEquiv_mem_normalizedFactors_of_mem_normalizedFactors f hJ j.prop⟩
invFun j :=
⟨(idealFactorsEquivOfQuotEquiv f).symm ⟨↑j, dvd_of_mem_normalizedFactors j.prop⟩, by
rw [idealFactorsEquivOfQuotEquiv_symm]
exact
idealFactorsEquivOfQuotEquiv_mem_normalizedFactors_of_mem_normalizedFactors f.symm hI
j.prop⟩
left_inv := fun ⟨j, hj⟩ => by simp
right_inv := fun ⟨j, hj⟩ => by
simp
-- This used to be the end of the proof before leanprover/lean4#2644
erw [OrderIso.apply_symm_apply]
#align normalized_factors_equiv_of_quot_equiv normalizedFactorsEquivOfQuotEquiv
@[simp]
theorem normalizedFactorsEquivOfQuotEquiv_symm (hI : I ≠ ⊥) (hJ : J ≠ ⊥) :
(normalizedFactorsEquivOfQuotEquiv f hI hJ).symm =
normalizedFactorsEquivOfQuotEquiv f.symm hJ hI := rfl
#align normalized_factors_equiv_of_quot_equiv_symm normalizedFactorsEquivOfQuotEquiv_symm
variable [DecidableRel ((· ∣ ·) : Ideal R → Ideal R → Prop)]
variable [DecidableRel ((· ∣ ·) : Ideal A → Ideal A → Prop)]
theorem normalizedFactorsEquivOfQuotEquiv_multiplicity_eq_multiplicity (hI : I ≠ ⊥) (hJ : J ≠ ⊥)
(L : Ideal R) (hL : L ∈ normalizedFactors I) :
multiplicity (↑(normalizedFactorsEquivOfQuotEquiv f hI hJ ⟨L, hL⟩)) J = multiplicity L I := by
rw [normalizedFactorsEquivOfQuotEquiv, Equiv.coe_fn_mk, Subtype.coe_mk]
refine multiplicity_factor_dvd_iso_eq_multiplicity_of_mem_normalizedFactors hI hJ hL
(d := (idealFactorsEquivOfQuotEquiv f).toEquiv) ?_
exact fun ⟨l, hl⟩ ⟨l', hl'⟩ => idealFactorsEquivOfQuotEquiv_is_dvd_iso f hl hl'
#align normalized_factors_equiv_of_quot_equiv_multiplicity_eq_multiplicity normalizedFactorsEquivOfQuotEquiv_multiplicity_eq_multiplicity
end
section ChineseRemainder
open Ideal UniqueFactorizationMonoid
variable {R}
theorem Ring.DimensionLeOne.prime_le_prime_iff_eq [Ring.DimensionLEOne R] {P Q : Ideal R}
[hP : P.IsPrime] [hQ : Q.IsPrime] (hP0 : P ≠ ⊥) : P ≤ Q ↔ P = Q :=
⟨(hP.isMaximal hP0).eq_of_le hQ.ne_top, Eq.le⟩
#align ring.dimension_le_one.prime_le_prime_iff_eq Ring.DimensionLeOne.prime_le_prime_iff_eq
theorem Ideal.coprime_of_no_prime_ge {I J : Ideal R} (h : ∀ P, I ≤ P → J ≤ P → ¬IsPrime P) :
IsCoprime I J := by
rw [isCoprime_iff_sup_eq]
by_contra hIJ
obtain ⟨P, hP, hIJ⟩ := Ideal.exists_le_maximal _ hIJ
exact h P (le_trans le_sup_left hIJ) (le_trans le_sup_right hIJ) hP.isPrime
#align ideal.coprime_of_no_prime_ge Ideal.coprime_of_no_prime_ge
section DedekindDomain
variable [IsDedekindDomain R]
theorem Ideal.IsPrime.mul_mem_pow (I : Ideal R) [hI : I.IsPrime] {a b : R} {n : ℕ}
(h : a * b ∈ I ^ n) : a ∈ I ∨ b ∈ I ^ n := by
cases n; · simp
by_cases hI0 : I = ⊥; · simpa [pow_succ, hI0] using h
simp only [← Submodule.span_singleton_le_iff_mem, Ideal.submodule_span_eq, ← Ideal.dvd_iff_le, ←
Ideal.span_singleton_mul_span_singleton] at h ⊢
by_cases ha : I ∣ span {a}
· exact Or.inl ha
rw [mul_comm] at h
exact Or.inr (Prime.pow_dvd_of_dvd_mul_right ((Ideal.prime_iff_isPrime hI0).mpr hI) _ ha h)
#align ideal.is_prime.mul_mem_pow Ideal.IsPrime.mul_mem_pow
theorem Ideal.IsPrime.mem_pow_mul (I : Ideal R) [hI : I.IsPrime] {a b : R} {n : ℕ}
(h : a * b ∈ I ^ n) : a ∈ I ^ n ∨ b ∈ I := by
rw [mul_comm] at h
rw [or_comm]
exact Ideal.IsPrime.mul_mem_pow _ h
section
theorem Ideal.count_normalizedFactors_eq {p x : Ideal R} [hp : p.IsPrime] {n : ℕ} (hle : x ≤ p ^ n)
[DecidableEq (Ideal R)] (hlt : ¬x ≤ p ^ (n + 1)) : (normalizedFactors x).count p = n :=
count_normalizedFactors_eq' ((Ideal.isPrime_iff_bot_or_prime.mp hp).imp_right Prime.irreducible)
(normalize_eq _) (Ideal.dvd_iff_le.mpr hle) (mt Ideal.le_of_dvd hlt)
#align ideal.count_normalized_factors_eq Ideal.count_normalizedFactors_eq
end
theorem Ideal.le_mul_of_no_prime_factors {I J K : Ideal R}
(coprime : ∀ P, J ≤ P → K ≤ P → ¬IsPrime P) (hJ : I ≤ J) (hK : I ≤ K) : I ≤ J * K := by
simp only [← Ideal.dvd_iff_le] at coprime hJ hK ⊢
by_cases hJ0 : J = 0
· simpa only [hJ0, zero_mul] using hJ
obtain ⟨I', rfl⟩ := hK
rw [mul_comm]
refine mul_dvd_mul_left K
(UniqueFactorizationMonoid.dvd_of_dvd_mul_right_of_no_prime_factors (b := K) hJ0 ?_ hJ)
exact fun hPJ hPK => mt Ideal.isPrime_of_prime (coprime _ hPJ hPK)
#align ideal.le_mul_of_no_prime_factors Ideal.le_mul_of_no_prime_factors
theorem Ideal.le_of_pow_le_prime {I P : Ideal R} [hP : P.IsPrime] {n : ℕ} (h : I ^ n ≤ P) :
I ≤ P := by
by_cases hP0 : P = ⊥
· simp only [hP0, le_bot_iff] at h ⊢
exact pow_eq_zero h
rw [← Ideal.dvd_iff_le] at h ⊢
exact ((Ideal.prime_iff_isPrime hP0).mpr hP).dvd_of_dvd_pow h
#align ideal.le_of_pow_le_prime Ideal.le_of_pow_le_prime
theorem Ideal.pow_le_prime_iff {I P : Ideal R} [_hP : P.IsPrime] {n : ℕ} (hn : n ≠ 0) :
I ^ n ≤ P ↔ I ≤ P :=
⟨Ideal.le_of_pow_le_prime, fun h => _root_.trans (Ideal.pow_le_self hn) h⟩
#align ideal.pow_le_prime_iff Ideal.pow_le_prime_iff
theorem Ideal.prod_le_prime {ι : Type*} {s : Finset ι} {f : ι → Ideal R} {P : Ideal R}
[hP : P.IsPrime] : ∏ i ∈ s, f i ≤ P ↔ ∃ i ∈ s, f i ≤ P := by
by_cases hP0 : P = ⊥
· simp only [hP0, le_bot_iff]
rw [← Ideal.zero_eq_bot, Finset.prod_eq_zero_iff]
simp only [← Ideal.dvd_iff_le]
exact ((Ideal.prime_iff_isPrime hP0).mpr hP).dvd_finset_prod_iff _
#align ideal.prod_le_prime Ideal.prod_le_prime
theorem IsDedekindDomain.inf_prime_pow_eq_prod {ι : Type*} (s : Finset ι) (f : ι → Ideal R)
(e : ι → ℕ) (prime : ∀ i ∈ s, Prime (f i))
(coprime : ∀ᵉ (i ∈ s) (j ∈ s), i ≠ j → f i ≠ f j) :
(s.inf fun i => f i ^ e i) = ∏ i ∈ s, f i ^ e i := by
letI := Classical.decEq ι
revert prime coprime
refine s.induction ?_ ?_
· simp
intro a s ha ih prime coprime
specialize
ih (fun i hi => prime i (Finset.mem_insert_of_mem hi)) fun i hi j hj =>
coprime i (Finset.mem_insert_of_mem hi) j (Finset.mem_insert_of_mem hj)
rw [Finset.inf_insert, Finset.prod_insert ha, ih]
refine le_antisymm (Ideal.le_mul_of_no_prime_factors ?_ inf_le_left inf_le_right) Ideal.mul_le_inf
intro P hPa hPs hPp
obtain ⟨b, hb, hPb⟩ := Ideal.prod_le_prime.mp hPs
haveI := Ideal.isPrime_of_prime (prime a (Finset.mem_insert_self a s))
haveI := Ideal.isPrime_of_prime (prime b (Finset.mem_insert_of_mem hb))
refine coprime a (Finset.mem_insert_self a s) b (Finset.mem_insert_of_mem hb) ?_ ?_
· exact (ne_of_mem_of_not_mem hb ha).symm
· refine ((Ring.DimensionLeOne.prime_le_prime_iff_eq ?_).mp
(Ideal.le_of_pow_le_prime hPa)).trans
((Ring.DimensionLeOne.prime_le_prime_iff_eq ?_).mp
(Ideal.le_of_pow_le_prime hPb)).symm
· exact (prime a (Finset.mem_insert_self a s)).ne_zero
· exact (prime b (Finset.mem_insert_of_mem hb)).ne_zero
#align is_dedekind_domain.inf_prime_pow_eq_prod IsDedekindDomain.inf_prime_pow_eq_prod
noncomputable def IsDedekindDomain.quotientEquivPiOfProdEq {ι : Type*} [Fintype ι] (I : Ideal R)
(P : ι → Ideal R) (e : ι → ℕ) (prime : ∀ i, Prime (P i))
(coprime : Pairwise fun i j => P i ≠ P j)
(prod_eq : ∏ i, P i ^ e i = I) : R ⧸ I ≃+* ∀ i, R ⧸ P i ^ e i :=
(Ideal.quotEquivOfEq
(by
simp only [← prod_eq, Finset.inf_eq_iInf, Finset.mem_univ, ciInf_pos,
← IsDedekindDomain.inf_prime_pow_eq_prod _ _ _ (fun i _ => prime i)
(coprime.set_pairwise _)])).trans <|
Ideal.quotientInfRingEquivPiQuotient _ fun i j hij => Ideal.coprime_of_no_prime_ge (by
intro P hPi hPj hPp
haveI := Ideal.isPrime_of_prime (prime i)
haveI := Ideal.isPrime_of_prime (prime j)
refine coprime hij ?_
refine ((Ring.DimensionLeOne.prime_le_prime_iff_eq ?_).mp
(Ideal.le_of_pow_le_prime hPi)).trans
((Ring.DimensionLeOne.prime_le_prime_iff_eq ?_).mp
(Ideal.le_of_pow_le_prime hPj)).symm
· exact (prime i).ne_zero
· exact (prime j).ne_zero)
#align is_dedekind_domain.quotient_equiv_pi_of_prod_eq IsDedekindDomain.quotientEquivPiOfProdEq
open scoped Classical
noncomputable def IsDedekindDomain.quotientEquivPiFactors {I : Ideal R} (hI : I ≠ ⊥) :
R ⧸ I ≃+* ∀ P : (factors I).toFinset, R ⧸ (P : Ideal R) ^ (Multiset.count ↑P (factors I)) :=
IsDedekindDomain.quotientEquivPiOfProdEq _ _ _
(fun P : (factors I).toFinset => prime_of_factor _ (Multiset.mem_toFinset.mp P.prop))
(fun i j hij => Subtype.coe_injective.ne hij)
(calc
(∏ P : (factors I).toFinset, (P : Ideal R) ^ (factors I).count (P : Ideal R)) =
∏ P ∈ (factors I).toFinset, P ^ (factors I).count P :=
(factors I).toFinset.prod_coe_sort fun P => P ^ (factors I).count P
_ = ((factors I).map fun P => P).prod := (Finset.prod_multiset_map_count (factors I) id).symm
_ = (factors I).prod := by rw [Multiset.map_id']
_ = I := (@associated_iff_eq (Ideal R) _ Ideal.uniqueUnits _ _).mp (factors_prod hI)
)
#align is_dedekind_domain.quotient_equiv_pi_factors IsDedekindDomain.quotientEquivPiFactors
@[simp]
theorem IsDedekindDomain.quotientEquivPiFactors_mk {I : Ideal R} (hI : I ≠ ⊥) (x : R) :
IsDedekindDomain.quotientEquivPiFactors hI (Ideal.Quotient.mk I x) = fun _P =>
Ideal.Quotient.mk _ x := rfl
#align is_dedekind_domain.quotient_equiv_pi_factors_mk IsDedekindDomain.quotientEquivPiFactors_mk
noncomputable def IsDedekindDomain.quotientEquivPiOfFinsetProdEq {ι : Type*} {s : Finset ι}
(I : Ideal R) (P : ι → Ideal R) (e : ι → ℕ) (prime : ∀ i ∈ s, Prime (P i))
(coprime : ∀ᵉ (i ∈ s) (j ∈ s), i ≠ j → P i ≠ P j)
(prod_eq : ∏ i ∈ s, P i ^ e i = I) : R ⧸ I ≃+* ∀ i : s, R ⧸ P i ^ e i :=
IsDedekindDomain.quotientEquivPiOfProdEq I (fun i : s => P i) (fun i : s => e i)
(fun i => prime i i.2) (fun i j h => coprime i i.2 j j.2 (Subtype.coe_injective.ne h))
(_root_.trans (Finset.prod_coe_sort s fun i => P i ^ e i) prod_eq)
#align is_dedekind_domain.quotient_equiv_pi_of_finset_prod_eq IsDedekindDomain.quotientEquivPiOfFinsetProdEq
| Mathlib/RingTheory/DedekindDomain/Ideal.lean | 1,381 | 1,388 | theorem IsDedekindDomain.exists_representative_mod_finset {ι : Type*} {s : Finset ι}
(P : ι → Ideal R) (e : ι → ℕ) (prime : ∀ i ∈ s, Prime (P i))
(coprime : ∀ᵉ (i ∈ s) (j ∈ s), i ≠ j → P i ≠ P j) (x : ∀ i : s, R ⧸ P i ^ e i) :
∃ y, ∀ (i) (hi : i ∈ s), Ideal.Quotient.mk (P i ^ e i) y = x ⟨i, hi⟩ := by |
let f := IsDedekindDomain.quotientEquivPiOfFinsetProdEq _ P e prime coprime rfl
obtain ⟨y, rfl⟩ := f.surjective x
obtain ⟨z, rfl⟩ := Ideal.Quotient.mk_surjective y
exact ⟨z, fun i _hi => rfl⟩
|
import Mathlib.Data.Set.Lattice
#align_import data.set.accumulate from "leanprover-community/mathlib"@"207cfac9fcd06138865b5d04f7091e46d9320432"
variable {α β γ : Type*} {s : α → Set β} {t : α → Set γ}
namespace Set
def Accumulate [LE α] (s : α → Set β) (x : α) : Set β :=
⋃ y ≤ x, s y
#align set.accumulate Set.Accumulate
theorem accumulate_def [LE α] {x : α} : Accumulate s x = ⋃ y ≤ x, s y :=
rfl
#align set.accumulate_def Set.accumulate_def
@[simp]
theorem mem_accumulate [LE α] {x : α} {z : β} : z ∈ Accumulate s x ↔ ∃ y ≤ x, z ∈ s y := by
simp_rw [accumulate_def, mem_iUnion₂, exists_prop]
#align set.mem_accumulate Set.mem_accumulate
theorem subset_accumulate [Preorder α] {x : α} : s x ⊆ Accumulate s x := fun _ => mem_biUnion le_rfl
#align set.subset_accumulate Set.subset_accumulate
theorem accumulate_subset_iUnion [Preorder α] (x : α) : Accumulate s x ⊆ ⋃ i, s i :=
(biUnion_subset_biUnion_left (subset_univ _)).trans_eq (biUnion_univ _)
theorem monotone_accumulate [Preorder α] : Monotone (Accumulate s) := fun _ _ hxy =>
biUnion_subset_biUnion_left fun _ hz => le_trans hz hxy
#align set.monotone_accumulate Set.monotone_accumulate
@[gcongr]
theorem accumulate_subset_accumulate [Preorder α] {x y} (h : x ≤ y) :
Accumulate s x ⊆ Accumulate s y :=
monotone_accumulate h
theorem biUnion_accumulate [Preorder α] (x : α) : ⋃ y ≤ x, Accumulate s y = ⋃ y ≤ x, s y := by
apply Subset.antisymm
· exact iUnion₂_subset fun y hy => monotone_accumulate hy
· exact iUnion₂_mono fun y _ => subset_accumulate
#align set.bUnion_accumulate Set.biUnion_accumulate
| Mathlib/Data/Set/Accumulate.lean | 56 | 61 | theorem iUnion_accumulate [Preorder α] : ⋃ x, Accumulate s x = ⋃ x, s x := by |
apply Subset.antisymm
· simp only [subset_def, mem_iUnion, exists_imp, mem_accumulate]
intro z x x' ⟨_, hz⟩
exact ⟨x', hz⟩
· exact iUnion_mono fun i => subset_accumulate
|
import Mathlib.Algebra.BigOperators.GroupWithZero.Finset
import Mathlib.Data.Finite.Card
import Mathlib.GroupTheory.Finiteness
import Mathlib.GroupTheory.GroupAction.Quotient
#align_import group_theory.index from "leanprover-community/mathlib"@"dc6c365e751e34d100e80fe6e314c3c3e0fd2988"
namespace Subgroup
open Cardinal
variable {G : Type*} [Group G] (H K L : Subgroup G)
@[to_additive "The index of a subgroup as a natural number,
and returns 0 if the index is infinite."]
noncomputable def index : ℕ :=
Nat.card (G ⧸ H)
#align subgroup.index Subgroup.index
#align add_subgroup.index AddSubgroup.index
@[to_additive "The relative index of a subgroup as a natural number,
and returns 0 if the relative index is infinite."]
noncomputable def relindex : ℕ :=
(H.subgroupOf K).index
#align subgroup.relindex Subgroup.relindex
#align add_subgroup.relindex AddSubgroup.relindex
@[to_additive]
theorem index_comap_of_surjective {G' : Type*} [Group G'] {f : G' →* G}
(hf : Function.Surjective f) : (H.comap f).index = H.index := by
letI := QuotientGroup.leftRel H
letI := QuotientGroup.leftRel (H.comap f)
have key : ∀ x y : G', Setoid.r x y ↔ Setoid.r (f x) (f y) := by
simp only [QuotientGroup.leftRel_apply]
exact fun x y => iff_of_eq (congr_arg (· ∈ H) (by rw [f.map_mul, f.map_inv]))
refine Cardinal.toNat_congr (Equiv.ofBijective (Quotient.map' f fun x y => (key x y).mp) ⟨?_, ?_⟩)
· simp_rw [← Quotient.eq''] at key
refine Quotient.ind' fun x => ?_
refine Quotient.ind' fun y => ?_
exact (key x y).mpr
· refine Quotient.ind' fun x => ?_
obtain ⟨y, hy⟩ := hf x
exact ⟨y, (Quotient.map'_mk'' f _ y).trans (congr_arg Quotient.mk'' hy)⟩
#align subgroup.index_comap_of_surjective Subgroup.index_comap_of_surjective
#align add_subgroup.index_comap_of_surjective AddSubgroup.index_comap_of_surjective
@[to_additive]
theorem index_comap {G' : Type*} [Group G'] (f : G' →* G) :
(H.comap f).index = H.relindex f.range :=
Eq.trans (congr_arg index (by rfl))
((H.subgroupOf f.range).index_comap_of_surjective f.rangeRestrict_surjective)
#align subgroup.index_comap Subgroup.index_comap
#align add_subgroup.index_comap AddSubgroup.index_comap
@[to_additive]
theorem relindex_comap {G' : Type*} [Group G'] (f : G' →* G) (K : Subgroup G') :
relindex (comap f H) K = relindex H (map f K) := by
rw [relindex, subgroupOf, comap_comap, index_comap, ← f.map_range, K.subtype_range]
#align subgroup.relindex_comap Subgroup.relindex_comap
#align add_subgroup.relindex_comap AddSubgroup.relindex_comap
variable {H K L}
@[to_additive relindex_mul_index]
theorem relindex_mul_index (h : H ≤ K) : H.relindex K * K.index = H.index :=
((mul_comm _ _).trans (Cardinal.toNat_mul _ _).symm).trans
(congr_arg Cardinal.toNat (Equiv.cardinal_eq (quotientEquivProdOfLE h))).symm
#align subgroup.relindex_mul_index Subgroup.relindex_mul_index
#align add_subgroup.relindex_mul_index AddSubgroup.relindex_mul_index
@[to_additive]
theorem index_dvd_of_le (h : H ≤ K) : K.index ∣ H.index :=
dvd_of_mul_left_eq (H.relindex K) (relindex_mul_index h)
#align subgroup.index_dvd_of_le Subgroup.index_dvd_of_le
#align add_subgroup.index_dvd_of_le AddSubgroup.index_dvd_of_le
@[to_additive]
theorem relindex_dvd_index_of_le (h : H ≤ K) : H.relindex K ∣ H.index :=
dvd_of_mul_right_eq K.index (relindex_mul_index h)
#align subgroup.relindex_dvd_index_of_le Subgroup.relindex_dvd_index_of_le
#align add_subgroup.relindex_dvd_index_of_le AddSubgroup.relindex_dvd_index_of_le
@[to_additive]
theorem relindex_subgroupOf (hKL : K ≤ L) :
(H.subgroupOf L).relindex (K.subgroupOf L) = H.relindex K :=
((index_comap (H.subgroupOf L) (inclusion hKL)).trans (congr_arg _ (inclusion_range hKL))).symm
#align subgroup.relindex_subgroup_of Subgroup.relindex_subgroupOf
#align add_subgroup.relindex_add_subgroup_of AddSubgroup.relindex_addSubgroupOf
variable (H K L)
@[to_additive relindex_mul_relindex]
theorem relindex_mul_relindex (hHK : H ≤ K) (hKL : K ≤ L) :
H.relindex K * K.relindex L = H.relindex L := by
rw [← relindex_subgroupOf hKL]
exact relindex_mul_index fun x hx => hHK hx
#align subgroup.relindex_mul_relindex Subgroup.relindex_mul_relindex
#align add_subgroup.relindex_mul_relindex AddSubgroup.relindex_mul_relindex
@[to_additive]
theorem inf_relindex_right : (H ⊓ K).relindex K = H.relindex K := by
rw [relindex, relindex, inf_subgroupOf_right]
#align subgroup.inf_relindex_right Subgroup.inf_relindex_right
#align add_subgroup.inf_relindex_right AddSubgroup.inf_relindex_right
@[to_additive]
theorem inf_relindex_left : (H ⊓ K).relindex H = K.relindex H := by
rw [inf_comm, inf_relindex_right]
#align subgroup.inf_relindex_left Subgroup.inf_relindex_left
#align add_subgroup.inf_relindex_left AddSubgroup.inf_relindex_left
@[to_additive relindex_inf_mul_relindex]
theorem relindex_inf_mul_relindex : H.relindex (K ⊓ L) * K.relindex L = (H ⊓ K).relindex L := by
rw [← inf_relindex_right H (K ⊓ L), ← inf_relindex_right K L, ← inf_relindex_right (H ⊓ K) L,
inf_assoc, relindex_mul_relindex (H ⊓ (K ⊓ L)) (K ⊓ L) L inf_le_right inf_le_right]
#align subgroup.relindex_inf_mul_relindex Subgroup.relindex_inf_mul_relindex
#align add_subgroup.relindex_inf_mul_relindex AddSubgroup.relindex_inf_mul_relindex
@[to_additive (attr := simp)]
theorem relindex_sup_right [K.Normal] : K.relindex (H ⊔ K) = K.relindex H :=
Nat.card_congr (QuotientGroup.quotientInfEquivProdNormalQuotient H K).toEquiv.symm
#align subgroup.relindex_sup_right Subgroup.relindex_sup_right
#align add_subgroup.relindex_sup_right AddSubgroup.relindex_sup_right
@[to_additive (attr := simp)]
theorem relindex_sup_left [K.Normal] : K.relindex (K ⊔ H) = K.relindex H := by
rw [sup_comm, relindex_sup_right]
#align subgroup.relindex_sup_left Subgroup.relindex_sup_left
#align add_subgroup.relindex_sup_left AddSubgroup.relindex_sup_left
@[to_additive]
theorem relindex_dvd_index_of_normal [H.Normal] : H.relindex K ∣ H.index :=
relindex_sup_right K H ▸ relindex_dvd_index_of_le le_sup_right
#align subgroup.relindex_dvd_index_of_normal Subgroup.relindex_dvd_index_of_normal
#align add_subgroup.relindex_dvd_index_of_normal AddSubgroup.relindex_dvd_index_of_normal
variable {H K}
@[to_additive]
theorem relindex_dvd_of_le_left (hHK : H ≤ K) : K.relindex L ∣ H.relindex L :=
inf_of_le_left hHK ▸ dvd_of_mul_left_eq _ (relindex_inf_mul_relindex _ _ _)
#align subgroup.relindex_dvd_of_le_left Subgroup.relindex_dvd_of_le_left
#align add_subgroup.relindex_dvd_of_le_left AddSubgroup.relindex_dvd_of_le_left
@[to_additive "An additive subgroup has index two if and only if there exists `a` such that
for all `b`, exactly one of `b + a` and `b` belong to `H`."]
theorem index_eq_two_iff : H.index = 2 ↔ ∃ a, ∀ b, Xor' (b * a ∈ H) (b ∈ H) := by
simp only [index, Nat.card_eq_two_iff' ((1 : G) : G ⧸ H), ExistsUnique, inv_mem_iff,
QuotientGroup.exists_mk, QuotientGroup.forall_mk, Ne, QuotientGroup.eq, mul_one,
xor_iff_iff_not]
refine exists_congr fun a =>
⟨fun ha b => ⟨fun hba hb => ?_, fun hb => ?_⟩, fun ha => ⟨?_, fun b hb => ?_⟩⟩
· exact ha.1 ((mul_mem_cancel_left hb).1 hba)
· exact inv_inv b ▸ ha.2 _ (mt (inv_mem_iff (x := b)).1 hb)
· rw [← inv_mem_iff (x := a), ← ha, inv_mul_self]
exact one_mem _
· rwa [ha, inv_mem_iff (x := b)]
#align subgroup.index_eq_two_iff Subgroup.index_eq_two_iff
#align add_subgroup.index_eq_two_iff AddSubgroup.index_eq_two_iff
@[to_additive]
theorem mul_mem_iff_of_index_two (h : H.index = 2) {a b : G} : a * b ∈ H ↔ (a ∈ H ↔ b ∈ H) := by
by_cases ha : a ∈ H; · simp only [ha, true_iff_iff, mul_mem_cancel_left ha]
by_cases hb : b ∈ H; · simp only [hb, iff_true_iff, mul_mem_cancel_right hb]
simp only [ha, hb, iff_self_iff, iff_true_iff]
rcases index_eq_two_iff.1 h with ⟨c, hc⟩
refine (hc _).or.resolve_left ?_
rwa [mul_assoc, mul_mem_cancel_right ((hc _).or.resolve_right hb)]
#align subgroup.mul_mem_iff_of_index_two Subgroup.mul_mem_iff_of_index_two
#align add_subgroup.add_mem_iff_of_index_two AddSubgroup.add_mem_iff_of_index_two
@[to_additive]
theorem mul_self_mem_of_index_two (h : H.index = 2) (a : G) : a * a ∈ H := by
rw [mul_mem_iff_of_index_two h]
#align subgroup.mul_self_mem_of_index_two Subgroup.mul_self_mem_of_index_two
#align add_subgroup.add_self_mem_of_index_two AddSubgroup.add_self_mem_of_index_two
@[to_additive two_smul_mem_of_index_two]
theorem sq_mem_of_index_two (h : H.index = 2) (a : G) : a ^ 2 ∈ H :=
(pow_two a).symm ▸ mul_self_mem_of_index_two h a
#align subgroup.sq_mem_of_index_two Subgroup.sq_mem_of_index_two
#align add_subgroup.two_smul_mem_of_index_two AddSubgroup.two_smul_mem_of_index_two
variable (H K)
-- Porting note: had to replace `Cardinal.toNat_eq_one_iff_unique` with `Nat.card_eq_one_iff_unique`
@[to_additive (attr := simp)]
theorem index_top : (⊤ : Subgroup G).index = 1 :=
Nat.card_eq_one_iff_unique.mpr ⟨QuotientGroup.subsingleton_quotient_top, ⟨1⟩⟩
#align subgroup.index_top Subgroup.index_top
#align add_subgroup.index_top AddSubgroup.index_top
@[to_additive (attr := simp)]
theorem index_bot : (⊥ : Subgroup G).index = Nat.card G :=
Cardinal.toNat_congr QuotientGroup.quotientBot.toEquiv
#align subgroup.index_bot Subgroup.index_bot
#align add_subgroup.index_bot AddSubgroup.index_bot
@[to_additive]
theorem index_bot_eq_card [Fintype G] : (⊥ : Subgroup G).index = Fintype.card G :=
index_bot.trans Nat.card_eq_fintype_card
#align subgroup.index_bot_eq_card Subgroup.index_bot_eq_card
#align add_subgroup.index_bot_eq_card AddSubgroup.index_bot_eq_card
@[to_additive (attr := simp)]
theorem relindex_top_left : (⊤ : Subgroup G).relindex H = 1 :=
index_top
#align subgroup.relindex_top_left Subgroup.relindex_top_left
#align add_subgroup.relindex_top_left AddSubgroup.relindex_top_left
@[to_additive (attr := simp)]
theorem relindex_top_right : H.relindex ⊤ = H.index := by
rw [← relindex_mul_index (show H ≤ ⊤ from le_top), index_top, mul_one]
#align subgroup.relindex_top_right Subgroup.relindex_top_right
#align add_subgroup.relindex_top_right AddSubgroup.relindex_top_right
@[to_additive (attr := simp)]
theorem relindex_bot_left : (⊥ : Subgroup G).relindex H = Nat.card H := by
rw [relindex, bot_subgroupOf, index_bot]
#align subgroup.relindex_bot_left Subgroup.relindex_bot_left
#align add_subgroup.relindex_bot_left AddSubgroup.relindex_bot_left
@[to_additive]
theorem relindex_bot_left_eq_card [Fintype H] : (⊥ : Subgroup G).relindex H = Fintype.card H :=
H.relindex_bot_left.trans Nat.card_eq_fintype_card
#align subgroup.relindex_bot_left_eq_card Subgroup.relindex_bot_left_eq_card
#align add_subgroup.relindex_bot_left_eq_card AddSubgroup.relindex_bot_left_eq_card
@[to_additive (attr := simp)]
theorem relindex_bot_right : H.relindex ⊥ = 1 := by rw [relindex, subgroupOf_bot_eq_top, index_top]
#align subgroup.relindex_bot_right Subgroup.relindex_bot_right
#align add_subgroup.relindex_bot_right AddSubgroup.relindex_bot_right
@[to_additive (attr := simp)]
theorem relindex_self : H.relindex H = 1 := by rw [relindex, subgroupOf_self, index_top]
#align subgroup.relindex_self Subgroup.relindex_self
#align add_subgroup.relindex_self AddSubgroup.relindex_self
@[to_additive]
theorem index_ker {H} [Group H] (f : G →* H) : f.ker.index = Nat.card (Set.range f) := by
rw [← MonoidHom.comap_bot, index_comap, relindex_bot_left]
rfl
#align subgroup.index_ker Subgroup.index_ker
#align add_subgroup.index_ker AddSubgroup.index_ker
@[to_additive]
theorem relindex_ker {H} [Group H] (f : G →* H) (K : Subgroup G) :
f.ker.relindex K = Nat.card (f '' K) := by
rw [← MonoidHom.comap_bot, relindex_comap, relindex_bot_left]
rfl
#align subgroup.relindex_ker Subgroup.relindex_ker
#align add_subgroup.relindex_ker AddSubgroup.relindex_ker
@[to_additive (attr := simp) card_mul_index]
theorem card_mul_index : Nat.card H * H.index = Nat.card G := by
rw [← relindex_bot_left, ← index_bot]
exact relindex_mul_index bot_le
#align subgroup.card_mul_index Subgroup.card_mul_index
#align add_subgroup.card_mul_index AddSubgroup.card_mul_index
@[to_additive]
theorem nat_card_dvd_of_injective {G H : Type*} [Group G] [Group H] (f : G →* H)
(hf : Function.Injective f) : Nat.card G ∣ Nat.card H := by
rw [Nat.card_congr (MonoidHom.ofInjective hf).toEquiv]
exact Dvd.intro f.range.index f.range.card_mul_index
#align subgroup.nat_card_dvd_of_injective Subgroup.nat_card_dvd_of_injective
#align add_subgroup.nat_card_dvd_of_injective AddSubgroup.nat_card_dvd_of_injective
@[to_additive]
theorem nat_card_dvd_of_le (hHK : H ≤ K) : Nat.card H ∣ Nat.card K :=
nat_card_dvd_of_injective (inclusion hHK) (inclusion_injective hHK)
#align subgroup.nat_card_dvd_of_le Subgroup.nat_card_dvd_of_le
#align add_subgroup.nat_card_dvd_of_le AddSubgroup.nat_card_dvd_of_le
@[to_additive]
theorem nat_card_dvd_of_surjective {G H : Type*} [Group G] [Group H] (f : G →* H)
(hf : Function.Surjective f) : Nat.card H ∣ Nat.card G := by
rw [← Nat.card_congr (QuotientGroup.quotientKerEquivOfSurjective f hf).toEquiv]
exact Dvd.intro_left (Nat.card f.ker) f.ker.card_mul_index
#align subgroup.nat_card_dvd_of_surjective Subgroup.nat_card_dvd_of_surjective
#align add_subgroup.nat_card_dvd_of_surjective AddSubgroup.nat_card_dvd_of_surjective
@[to_additive]
theorem card_dvd_of_surjective {G H : Type*} [Group G] [Group H] [Fintype G] [Fintype H]
(f : G →* H) (hf : Function.Surjective f) : Fintype.card H ∣ Fintype.card G := by
simp only [← Nat.card_eq_fintype_card, nat_card_dvd_of_surjective f hf]
#align subgroup.card_dvd_of_surjective Subgroup.card_dvd_of_surjective
#align add_subgroup.card_dvd_of_surjective AddSubgroup.card_dvd_of_surjective
@[to_additive]
| Mathlib/GroupTheory/Index.lean | 326 | 328 | theorem index_map {G' : Type*} [Group G'] (f : G →* G') :
(H.map f).index = (H ⊔ f.ker).index * f.range.index := by |
rw [← comap_map_eq, index_comap, relindex_mul_index (H.map_le_range f)]
|
import Mathlib.CategoryTheory.EpiMono
import Mathlib.CategoryTheory.Functor.FullyFaithful
import Mathlib.Tactic.PPWithUniv
import Mathlib.Data.Set.Defs
#align_import category_theory.types from "leanprover-community/mathlib"@"48085f140e684306f9e7da907cd5932056d1aded"
namespace CategoryTheory
-- morphism levels before object levels. See note [CategoryTheory universes].
universe v v' w u u'
@[to_additive existing CategoryTheory.types]
instance types : LargeCategory (Type u) where
Hom a b := a → b
id a := id
comp f g := g ∘ f
#align category_theory.types CategoryTheory.types
theorem types_hom {α β : Type u} : (α ⟶ β) = (α → β) :=
rfl
#align category_theory.types_hom CategoryTheory.types_hom
-- porting note (#10688): this lemma was not here in Lean 3. Lean 3 `ext` would solve this goal
-- because of its "if all else fails, apply all `ext` lemmas" policy,
-- which apparently we want to move away from.
@[ext] theorem types_ext {α β : Type u} (f g : α ⟶ β) (h : ∀ a : α, f a = g a) : f = g := by
funext x
exact h x
theorem types_id (X : Type u) : 𝟙 X = id :=
rfl
#align category_theory.types_id CategoryTheory.types_id
theorem types_comp {X Y Z : Type u} (f : X ⟶ Y) (g : Y ⟶ Z) : f ≫ g = g ∘ f :=
rfl
#align category_theory.types_comp CategoryTheory.types_comp
@[simp]
theorem types_id_apply (X : Type u) (x : X) : (𝟙 X : X → X) x = x :=
rfl
#align category_theory.types_id_apply CategoryTheory.types_id_apply
@[simp]
theorem types_comp_apply {X Y Z : Type u} (f : X ⟶ Y) (g : Y ⟶ Z) (x : X) : (f ≫ g) x = g (f x) :=
rfl
#align category_theory.types_comp_apply CategoryTheory.types_comp_apply
@[simp]
theorem hom_inv_id_apply {X Y : Type u} (f : X ≅ Y) (x : X) : f.inv (f.hom x) = x :=
congr_fun f.hom_inv_id x
#align category_theory.hom_inv_id_apply CategoryTheory.hom_inv_id_apply
@[simp]
theorem inv_hom_id_apply {X Y : Type u} (f : X ≅ Y) (y : Y) : f.hom (f.inv y) = y :=
congr_fun f.inv_hom_id y
#align category_theory.inv_hom_id_apply CategoryTheory.inv_hom_id_apply
-- Unfortunately without this wrapper we can't use `CategoryTheory` idioms, such as `IsIso f`.
abbrev asHom {α β : Type u} (f : α → β) : α ⟶ β :=
f
#align category_theory.as_hom CategoryTheory.asHom
@[inherit_doc]
scoped notation "↾" f:200 => CategoryTheory.asHom f
section
-- We verify the expected type checking behaviour of `asHom`
variable (α β γ : Type u) (f : α → β) (g : β → γ)
example : α → γ :=
↾f ≫ ↾g
example [IsIso (↾f)] : Mono (↾f) := by infer_instance
example [IsIso (↾f)] : ↾f ≫ inv (↾f) = 𝟙 α := by simp
end
namespace FunctorToTypes
variable {C : Type u} [Category.{v} C] (F G H : C ⥤ Type w) {X Y Z : C}
variable (σ : F ⟶ G) (τ : G ⟶ H)
@[simp]
theorem map_comp_apply (f : X ⟶ Y) (g : Y ⟶ Z) (a : F.obj X) :
(F.map (f ≫ g)) a = (F.map g) ((F.map f) a) := by simp [types_comp]
#align category_theory.functor_to_types.map_comp_apply CategoryTheory.FunctorToTypes.map_comp_apply
@[simp]
theorem map_id_apply (a : F.obj X) : (F.map (𝟙 X)) a = a := by simp [types_id]
#align category_theory.functor_to_types.map_id_apply CategoryTheory.FunctorToTypes.map_id_apply
theorem naturality (f : X ⟶ Y) (x : F.obj X) : σ.app Y ((F.map f) x) = (G.map f) (σ.app X x) :=
congr_fun (σ.naturality f) x
#align category_theory.functor_to_types.naturality CategoryTheory.FunctorToTypes.naturality
@[simp]
theorem comp (x : F.obj X) : (σ ≫ τ).app X x = τ.app X (σ.app X x) :=
rfl
#align category_theory.functor_to_types.comp CategoryTheory.FunctorToTypes.comp
@[simp]
| Mathlib/CategoryTheory/Types.lean | 170 | 172 | theorem eqToHom_map_comp_apply (p : X = Y) (q : Y = Z) (x : F.obj X) :
F.map (eqToHom q) (F.map (eqToHom p) x) = F.map (eqToHom <| p.trans q) x := by |
aesop_cat
|
import Mathlib.Combinatorics.SimpleGraph.Finite
import Mathlib.Combinatorics.SimpleGraph.Maps
#align_import combinatorics.simple_graph.subgraph from "leanprover-community/mathlib"@"c6ef6387ede9983aee397d442974e61f89dfd87b"
universe u v
namespace SimpleGraph
@[ext]
structure Subgraph {V : Type u} (G : SimpleGraph V) where
verts : Set V
Adj : V → V → Prop
adj_sub : ∀ {v w : V}, Adj v w → G.Adj v w
edge_vert : ∀ {v w : V}, Adj v w → v ∈ verts
symm : Symmetric Adj := by aesop_graph -- Porting note: Originally `by obviously`
#align simple_graph.subgraph SimpleGraph.Subgraph
initialize_simps_projections SimpleGraph.Subgraph (Adj → adj)
variable {ι : Sort*} {V : Type u} {W : Type v}
@[simps]
protected def singletonSubgraph (G : SimpleGraph V) (v : V) : G.Subgraph where
verts := {v}
Adj := ⊥
adj_sub := False.elim
edge_vert := False.elim
symm _ _ := False.elim
#align simple_graph.singleton_subgraph SimpleGraph.singletonSubgraph
@[simps]
def subgraphOfAdj (G : SimpleGraph V) {v w : V} (hvw : G.Adj v w) : G.Subgraph where
verts := {v, w}
Adj a b := s(v, w) = s(a, b)
adj_sub h := by
rw [← G.mem_edgeSet, ← h]
exact hvw
edge_vert {a b} h := by
apply_fun fun e ↦ a ∈ e at h
simp only [Sym2.mem_iff, true_or, eq_iff_iff, iff_true] at h
exact h
#align simple_graph.subgraph_of_adj SimpleGraph.subgraphOfAdj
namespace Subgraph
variable {G : SimpleGraph V} {G₁ G₂ : G.Subgraph} {a b : V}
protected theorem loopless (G' : Subgraph G) : Irreflexive G'.Adj :=
fun v h ↦ G.loopless v (G'.adj_sub h)
#align simple_graph.subgraph.loopless SimpleGraph.Subgraph.loopless
theorem adj_comm (G' : Subgraph G) (v w : V) : G'.Adj v w ↔ G'.Adj w v :=
⟨fun x ↦ G'.symm x, fun x ↦ G'.symm x⟩
#align simple_graph.subgraph.adj_comm SimpleGraph.Subgraph.adj_comm
@[symm]
theorem adj_symm (G' : Subgraph G) {u v : V} (h : G'.Adj u v) : G'.Adj v u :=
G'.symm h
#align simple_graph.subgraph.adj_symm SimpleGraph.Subgraph.adj_symm
protected theorem Adj.symm {G' : Subgraph G} {u v : V} (h : G'.Adj u v) : G'.Adj v u :=
G'.symm h
#align simple_graph.subgraph.adj.symm SimpleGraph.Subgraph.Adj.symm
protected theorem Adj.adj_sub {H : G.Subgraph} {u v : V} (h : H.Adj u v) : G.Adj u v :=
H.adj_sub h
#align simple_graph.subgraph.adj.adj_sub SimpleGraph.Subgraph.Adj.adj_sub
protected theorem Adj.fst_mem {H : G.Subgraph} {u v : V} (h : H.Adj u v) : u ∈ H.verts :=
H.edge_vert h
#align simple_graph.subgraph.adj.fst_mem SimpleGraph.Subgraph.Adj.fst_mem
protected theorem Adj.snd_mem {H : G.Subgraph} {u v : V} (h : H.Adj u v) : v ∈ H.verts :=
h.symm.fst_mem
#align simple_graph.subgraph.adj.snd_mem SimpleGraph.Subgraph.Adj.snd_mem
protected theorem Adj.ne {H : G.Subgraph} {u v : V} (h : H.Adj u v) : u ≠ v :=
h.adj_sub.ne
#align simple_graph.subgraph.adj.ne SimpleGraph.Subgraph.Adj.ne
@[simps]
protected def coe (G' : Subgraph G) : SimpleGraph G'.verts where
Adj v w := G'.Adj v w
symm _ _ h := G'.symm h
loopless v h := loopless G v (G'.adj_sub h)
#align simple_graph.subgraph.coe SimpleGraph.Subgraph.coe
@[simp]
theorem coe_adj_sub (G' : Subgraph G) (u v : G'.verts) (h : G'.coe.Adj u v) : G.Adj u v :=
G'.adj_sub h
#align simple_graph.subgraph.coe_adj_sub SimpleGraph.Subgraph.coe_adj_sub
-- Given `h : H.Adj u v`, then `h.coe : H.coe.Adj ⟨u, _⟩ ⟨v, _⟩`.
protected theorem Adj.coe {H : G.Subgraph} {u v : V} (h : H.Adj u v) :
H.coe.Adj ⟨u, H.edge_vert h⟩ ⟨v, H.edge_vert h.symm⟩ := h
#align simple_graph.subgraph.adj.coe SimpleGraph.Subgraph.Adj.coe
def IsSpanning (G' : Subgraph G) : Prop :=
∀ v : V, v ∈ G'.verts
#align simple_graph.subgraph.is_spanning SimpleGraph.Subgraph.IsSpanning
theorem isSpanning_iff {G' : Subgraph G} : G'.IsSpanning ↔ G'.verts = Set.univ :=
Set.eq_univ_iff_forall.symm
#align simple_graph.subgraph.is_spanning_iff SimpleGraph.Subgraph.isSpanning_iff
@[simps]
protected def spanningCoe (G' : Subgraph G) : SimpleGraph V where
Adj := G'.Adj
symm := G'.symm
loopless v hv := G.loopless v (G'.adj_sub hv)
#align simple_graph.subgraph.spanning_coe SimpleGraph.Subgraph.spanningCoe
@[simp]
theorem Adj.of_spanningCoe {G' : Subgraph G} {u v : G'.verts} (h : G'.spanningCoe.Adj u v) :
G.Adj u v :=
G'.adj_sub h
#align simple_graph.subgraph.adj.of_spanning_coe SimpleGraph.Subgraph.Adj.of_spanningCoe
theorem spanningCoe_inj : G₁.spanningCoe = G₂.spanningCoe ↔ G₁.Adj = G₂.Adj := by
simp [Subgraph.spanningCoe]
#align simple_graph.subgraph.spanning_coe_inj SimpleGraph.Subgraph.spanningCoe_inj
@[simps]
def spanningCoeEquivCoeOfSpanning (G' : Subgraph G) (h : G'.IsSpanning) :
G'.spanningCoe ≃g G'.coe where
toFun v := ⟨v, h v⟩
invFun v := v
left_inv _ := rfl
right_inv _ := rfl
map_rel_iff' := Iff.rfl
#align simple_graph.subgraph.spanning_coe_equiv_coe_of_spanning SimpleGraph.Subgraph.spanningCoeEquivCoeOfSpanning
def IsInduced (G' : Subgraph G) : Prop :=
∀ {v w : V}, v ∈ G'.verts → w ∈ G'.verts → G.Adj v w → G'.Adj v w
#align simple_graph.subgraph.is_induced SimpleGraph.Subgraph.IsInduced
def support (H : Subgraph G) : Set V := Rel.dom H.Adj
#align simple_graph.subgraph.support SimpleGraph.Subgraph.support
theorem mem_support (H : Subgraph G) {v : V} : v ∈ H.support ↔ ∃ w, H.Adj v w := Iff.rfl
#align simple_graph.subgraph.mem_support SimpleGraph.Subgraph.mem_support
theorem support_subset_verts (H : Subgraph G) : H.support ⊆ H.verts :=
fun _ ⟨_, h⟩ ↦ H.edge_vert h
#align simple_graph.subgraph.support_subset_verts SimpleGraph.Subgraph.support_subset_verts
def neighborSet (G' : Subgraph G) (v : V) : Set V := {w | G'.Adj v w}
#align simple_graph.subgraph.neighbor_set SimpleGraph.Subgraph.neighborSet
theorem neighborSet_subset (G' : Subgraph G) (v : V) : G'.neighborSet v ⊆ G.neighborSet v :=
fun _ ↦ G'.adj_sub
#align simple_graph.subgraph.neighbor_set_subset SimpleGraph.Subgraph.neighborSet_subset
theorem neighborSet_subset_verts (G' : Subgraph G) (v : V) : G'.neighborSet v ⊆ G'.verts :=
fun _ h ↦ G'.edge_vert (adj_symm G' h)
#align simple_graph.subgraph.neighbor_set_subset_verts SimpleGraph.Subgraph.neighborSet_subset_verts
@[simp]
theorem mem_neighborSet (G' : Subgraph G) (v w : V) : w ∈ G'.neighborSet v ↔ G'.Adj v w := Iff.rfl
#align simple_graph.subgraph.mem_neighbor_set SimpleGraph.Subgraph.mem_neighborSet
def coeNeighborSetEquiv {G' : Subgraph G} (v : G'.verts) :
G'.coe.neighborSet v ≃ G'.neighborSet v where
toFun w := ⟨w, w.2⟩
invFun w := ⟨⟨w, G'.edge_vert (G'.adj_symm w.2)⟩, w.2⟩
left_inv _ := rfl
right_inv _ := rfl
#align simple_graph.subgraph.coe_neighbor_set_equiv SimpleGraph.Subgraph.coeNeighborSetEquiv
def edgeSet (G' : Subgraph G) : Set (Sym2 V) := Sym2.fromRel G'.symm
#align simple_graph.subgraph.edge_set SimpleGraph.Subgraph.edgeSet
theorem edgeSet_subset (G' : Subgraph G) : G'.edgeSet ⊆ G.edgeSet :=
Sym2.ind (fun _ _ ↦ G'.adj_sub)
#align simple_graph.subgraph.edge_set_subset SimpleGraph.Subgraph.edgeSet_subset
@[simp]
theorem mem_edgeSet {G' : Subgraph G} {v w : V} : s(v, w) ∈ G'.edgeSet ↔ G'.Adj v w := Iff.rfl
#align simple_graph.subgraph.mem_edge_set SimpleGraph.Subgraph.mem_edgeSet
theorem mem_verts_if_mem_edge {G' : Subgraph G} {e : Sym2 V} {v : V} (he : e ∈ G'.edgeSet)
(hv : v ∈ e) : v ∈ G'.verts := by
revert hv
refine Sym2.ind (fun v w he ↦ ?_) e he
intro hv
rcases Sym2.mem_iff.mp hv with (rfl | rfl)
· exact G'.edge_vert he
· exact G'.edge_vert (G'.symm he)
#align simple_graph.subgraph.mem_verts_if_mem_edge SimpleGraph.Subgraph.mem_verts_if_mem_edge
def incidenceSet (G' : Subgraph G) (v : V) : Set (Sym2 V) := {e ∈ G'.edgeSet | v ∈ e}
#align simple_graph.subgraph.incidence_set SimpleGraph.Subgraph.incidenceSet
theorem incidenceSet_subset_incidenceSet (G' : Subgraph G) (v : V) :
G'.incidenceSet v ⊆ G.incidenceSet v :=
fun _ h ↦ ⟨G'.edgeSet_subset h.1, h.2⟩
#align simple_graph.subgraph.incidence_set_subset_incidence_set SimpleGraph.Subgraph.incidenceSet_subset_incidenceSet
theorem incidenceSet_subset (G' : Subgraph G) (v : V) : G'.incidenceSet v ⊆ G'.edgeSet :=
fun _ h ↦ h.1
#align simple_graph.subgraph.incidence_set_subset SimpleGraph.Subgraph.incidenceSet_subset
abbrev vert (G' : Subgraph G) (v : V) (h : v ∈ G'.verts) : G'.verts := ⟨v, h⟩
#align simple_graph.subgraph.vert SimpleGraph.Subgraph.vert
def copy (G' : Subgraph G) (V'' : Set V) (hV : V'' = G'.verts)
(adj' : V → V → Prop) (hadj : adj' = G'.Adj) : Subgraph G where
verts := V''
Adj := adj'
adj_sub := hadj.symm ▸ G'.adj_sub
edge_vert := hV.symm ▸ hadj.symm ▸ G'.edge_vert
symm := hadj.symm ▸ G'.symm
#align simple_graph.subgraph.copy SimpleGraph.Subgraph.copy
theorem copy_eq (G' : Subgraph G) (V'' : Set V) (hV : V'' = G'.verts)
(adj' : V → V → Prop) (hadj : adj' = G'.Adj) : G'.copy V'' hV adj' hadj = G' :=
Subgraph.ext _ _ hV hadj
#align simple_graph.subgraph.copy_eq SimpleGraph.Subgraph.copy_eq
instance : Sup G.Subgraph where
sup G₁ G₂ :=
{ verts := G₁.verts ∪ G₂.verts
Adj := G₁.Adj ⊔ G₂.Adj
adj_sub := fun hab => Or.elim hab (fun h => G₁.adj_sub h) fun h => G₂.adj_sub h
edge_vert := Or.imp (fun h => G₁.edge_vert h) fun h => G₂.edge_vert h
symm := fun _ _ => Or.imp G₁.adj_symm G₂.adj_symm }
instance : Inf G.Subgraph where
inf G₁ G₂ :=
{ verts := G₁.verts ∩ G₂.verts
Adj := G₁.Adj ⊓ G₂.Adj
adj_sub := fun hab => G₁.adj_sub hab.1
edge_vert := And.imp (fun h => G₁.edge_vert h) fun h => G₂.edge_vert h
symm := fun _ _ => And.imp G₁.adj_symm G₂.adj_symm }
instance : Top G.Subgraph where
top :=
{ verts := Set.univ
Adj := G.Adj
adj_sub := id
edge_vert := @fun v _ _ => Set.mem_univ v
symm := G.symm }
instance : Bot G.Subgraph where
bot :=
{ verts := ∅
Adj := ⊥
adj_sub := False.elim
edge_vert := False.elim
symm := fun _ _ => id }
instance : SupSet G.Subgraph where
sSup s :=
{ verts := ⋃ G' ∈ s, verts G'
Adj := fun a b => ∃ G' ∈ s, Adj G' a b
adj_sub := by
rintro a b ⟨G', -, hab⟩
exact G'.adj_sub hab
edge_vert := by
rintro a b ⟨G', hG', hab⟩
exact Set.mem_iUnion₂_of_mem hG' (G'.edge_vert hab)
symm := fun a b h => by simpa [adj_comm] using h }
instance : InfSet G.Subgraph where
sInf s :=
{ verts := ⋂ G' ∈ s, verts G'
Adj := fun a b => (∀ ⦃G'⦄, G' ∈ s → Adj G' a b) ∧ G.Adj a b
adj_sub := And.right
edge_vert := fun hab => Set.mem_iInter₂_of_mem fun G' hG' => G'.edge_vert <| hab.1 hG'
symm := fun _ _ => And.imp (forall₂_imp fun _ _ => Adj.symm) G.adj_symm }
@[simp]
theorem sup_adj : (G₁ ⊔ G₂).Adj a b ↔ G₁.Adj a b ∨ G₂.Adj a b :=
Iff.rfl
#align simple_graph.subgraph.sup_adj SimpleGraph.Subgraph.sup_adj
@[simp]
theorem inf_adj : (G₁ ⊓ G₂).Adj a b ↔ G₁.Adj a b ∧ G₂.Adj a b :=
Iff.rfl
#align simple_graph.subgraph.inf_adj SimpleGraph.Subgraph.inf_adj
@[simp]
theorem top_adj : (⊤ : Subgraph G).Adj a b ↔ G.Adj a b :=
Iff.rfl
#align simple_graph.subgraph.top_adj SimpleGraph.Subgraph.top_adj
@[simp]
theorem not_bot_adj : ¬ (⊥ : Subgraph G).Adj a b :=
not_false
#align simple_graph.subgraph.not_bot_adj SimpleGraph.Subgraph.not_bot_adj
@[simp]
theorem verts_sup (G₁ G₂ : G.Subgraph) : (G₁ ⊔ G₂).verts = G₁.verts ∪ G₂.verts :=
rfl
#align simple_graph.subgraph.verts_sup SimpleGraph.Subgraph.verts_sup
@[simp]
theorem verts_inf (G₁ G₂ : G.Subgraph) : (G₁ ⊓ G₂).verts = G₁.verts ∩ G₂.verts :=
rfl
#align simple_graph.subgraph.verts_inf SimpleGraph.Subgraph.verts_inf
@[simp]
theorem verts_top : (⊤ : G.Subgraph).verts = Set.univ :=
rfl
#align simple_graph.subgraph.verts_top SimpleGraph.Subgraph.verts_top
@[simp]
theorem verts_bot : (⊥ : G.Subgraph).verts = ∅ :=
rfl
#align simple_graph.subgraph.verts_bot SimpleGraph.Subgraph.verts_bot
@[simp]
theorem sSup_adj {s : Set G.Subgraph} : (sSup s).Adj a b ↔ ∃ G ∈ s, Adj G a b :=
Iff.rfl
#align simple_graph.subgraph.Sup_adj SimpleGraph.Subgraph.sSup_adj
@[simp]
theorem sInf_adj {s : Set G.Subgraph} : (sInf s).Adj a b ↔ (∀ G' ∈ s, Adj G' a b) ∧ G.Adj a b :=
Iff.rfl
#align simple_graph.subgraph.Inf_adj SimpleGraph.Subgraph.sInf_adj
@[simp]
theorem iSup_adj {f : ι → G.Subgraph} : (⨆ i, f i).Adj a b ↔ ∃ i, (f i).Adj a b := by
simp [iSup]
#align simple_graph.subgraph.supr_adj SimpleGraph.Subgraph.iSup_adj
@[simp]
theorem iInf_adj {f : ι → G.Subgraph} : (⨅ i, f i).Adj a b ↔ (∀ i, (f i).Adj a b) ∧ G.Adj a b := by
simp [iInf]
#align simple_graph.subgraph.infi_adj SimpleGraph.Subgraph.iInf_adj
theorem sInf_adj_of_nonempty {s : Set G.Subgraph} (hs : s.Nonempty) :
(sInf s).Adj a b ↔ ∀ G' ∈ s, Adj G' a b :=
sInf_adj.trans <|
and_iff_left_of_imp <| by
obtain ⟨G', hG'⟩ := hs
exact fun h => G'.adj_sub (h _ hG')
#align simple_graph.subgraph.Inf_adj_of_nonempty SimpleGraph.Subgraph.sInf_adj_of_nonempty
theorem iInf_adj_of_nonempty [Nonempty ι] {f : ι → G.Subgraph} :
(⨅ i, f i).Adj a b ↔ ∀ i, (f i).Adj a b := by
rw [iInf, sInf_adj_of_nonempty (Set.range_nonempty _)]
simp
#align simple_graph.subgraph.infi_adj_of_nonempty SimpleGraph.Subgraph.iInf_adj_of_nonempty
@[simp]
theorem verts_sSup (s : Set G.Subgraph) : (sSup s).verts = ⋃ G' ∈ s, verts G' :=
rfl
#align simple_graph.subgraph.verts_Sup SimpleGraph.Subgraph.verts_sSup
@[simp]
theorem verts_sInf (s : Set G.Subgraph) : (sInf s).verts = ⋂ G' ∈ s, verts G' :=
rfl
#align simple_graph.subgraph.verts_Inf SimpleGraph.Subgraph.verts_sInf
@[simp]
theorem verts_iSup {f : ι → G.Subgraph} : (⨆ i, f i).verts = ⋃ i, (f i).verts := by simp [iSup]
#align simple_graph.subgraph.verts_supr SimpleGraph.Subgraph.verts_iSup
@[simp]
theorem verts_iInf {f : ι → G.Subgraph} : (⨅ i, f i).verts = ⋂ i, (f i).verts := by simp [iInf]
#align simple_graph.subgraph.verts_infi SimpleGraph.Subgraph.verts_iInf
theorem verts_spanningCoe_injective :
(fun G' : Subgraph G => (G'.verts, G'.spanningCoe)).Injective := by
intro G₁ G₂ h
rw [Prod.ext_iff] at h
exact Subgraph.ext _ _ h.1 (spanningCoe_inj.1 h.2)
instance distribLattice : DistribLattice G.Subgraph :=
{ show DistribLattice G.Subgraph from
verts_spanningCoe_injective.distribLattice _
(fun _ _ => rfl) fun _ _ => rfl with
le := fun x y => x.verts ⊆ y.verts ∧ ∀ ⦃v w : V⦄, x.Adj v w → y.Adj v w }
instance : BoundedOrder (Subgraph G) where
top := ⊤
bot := ⊥
le_top x := ⟨Set.subset_univ _, fun _ _ => x.adj_sub⟩
bot_le _ := ⟨Set.empty_subset _, fun _ _ => False.elim⟩
-- Note that subgraphs do not form a Boolean algebra, because of `verts`.
instance : CompletelyDistribLattice G.Subgraph :=
{ Subgraph.distribLattice with
le := (· ≤ ·)
sup := (· ⊔ ·)
inf := (· ⊓ ·)
top := ⊤
bot := ⊥
le_top := fun G' => ⟨Set.subset_univ _, fun a b => G'.adj_sub⟩
bot_le := fun G' => ⟨Set.empty_subset _, fun a b => False.elim⟩
sSup := sSup
-- Porting note: needed `apply` here to modify elaboration; previously the term itself was fine.
le_sSup := fun s G' hG' => ⟨by apply Set.subset_iUnion₂ G' hG', fun a b hab => ⟨G', hG', hab⟩⟩
sSup_le := fun s G' hG' =>
⟨Set.iUnion₂_subset fun H hH => (hG' _ hH).1, by
rintro a b ⟨H, hH, hab⟩
exact (hG' _ hH).2 hab⟩
sInf := sInf
sInf_le := fun s G' hG' => ⟨Set.iInter₂_subset G' hG', fun a b hab => hab.1 hG'⟩
le_sInf := fun s G' hG' =>
⟨Set.subset_iInter₂ fun H hH => (hG' _ hH).1, fun a b hab =>
⟨fun H hH => (hG' _ hH).2 hab, G'.adj_sub hab⟩⟩
iInf_iSup_eq := fun f => Subgraph.ext _ _ (by simpa using iInf_iSup_eq)
(by ext; simp [Classical.skolem]) }
@[simps]
instance subgraphInhabited : Inhabited (Subgraph G) := ⟨⊥⟩
#align simple_graph.subgraph.subgraph_inhabited SimpleGraph.Subgraph.subgraphInhabited
@[simp]
theorem neighborSet_sup {H H' : G.Subgraph} (v : V) :
(H ⊔ H').neighborSet v = H.neighborSet v ∪ H'.neighborSet v := rfl
#align simple_graph.subgraph.neighbor_set_sup SimpleGraph.Subgraph.neighborSet_sup
@[simp]
theorem neighborSet_inf {H H' : G.Subgraph} (v : V) :
(H ⊓ H').neighborSet v = H.neighborSet v ∩ H'.neighborSet v := rfl
#align simple_graph.subgraph.neighbor_set_inf SimpleGraph.Subgraph.neighborSet_inf
@[simp]
theorem neighborSet_top (v : V) : (⊤ : G.Subgraph).neighborSet v = G.neighborSet v := rfl
#align simple_graph.subgraph.neighbor_set_top SimpleGraph.Subgraph.neighborSet_top
@[simp]
theorem neighborSet_bot (v : V) : (⊥ : G.Subgraph).neighborSet v = ∅ := rfl
#align simple_graph.subgraph.neighbor_set_bot SimpleGraph.Subgraph.neighborSet_bot
@[simp]
theorem neighborSet_sSup (s : Set G.Subgraph) (v : V) :
(sSup s).neighborSet v = ⋃ G' ∈ s, neighborSet G' v := by
ext
simp
#align simple_graph.subgraph.neighbor_set_Sup SimpleGraph.Subgraph.neighborSet_sSup
@[simp]
theorem neighborSet_sInf (s : Set G.Subgraph) (v : V) :
(sInf s).neighborSet v = (⋂ G' ∈ s, neighborSet G' v) ∩ G.neighborSet v := by
ext
simp
#align simple_graph.subgraph.neighbor_set_Inf SimpleGraph.Subgraph.neighborSet_sInf
@[simp]
theorem neighborSet_iSup (f : ι → G.Subgraph) (v : V) :
(⨆ i, f i).neighborSet v = ⋃ i, (f i).neighborSet v := by simp [iSup]
#align simple_graph.subgraph.neighbor_set_supr SimpleGraph.Subgraph.neighborSet_iSup
@[simp]
theorem neighborSet_iInf (f : ι → G.Subgraph) (v : V) :
(⨅ i, f i).neighborSet v = (⋂ i, (f i).neighborSet v) ∩ G.neighborSet v := by simp [iInf]
#align simple_graph.subgraph.neighbor_set_infi SimpleGraph.Subgraph.neighborSet_iInf
@[simp]
theorem edgeSet_top : (⊤ : Subgraph G).edgeSet = G.edgeSet := rfl
#align simple_graph.subgraph.edge_set_top SimpleGraph.Subgraph.edgeSet_top
@[simp]
theorem edgeSet_bot : (⊥ : Subgraph G).edgeSet = ∅ :=
Set.ext <| Sym2.ind (by simp)
#align simple_graph.subgraph.edge_set_bot SimpleGraph.Subgraph.edgeSet_bot
@[simp]
theorem edgeSet_inf {H₁ H₂ : Subgraph G} : (H₁ ⊓ H₂).edgeSet = H₁.edgeSet ∩ H₂.edgeSet :=
Set.ext <| Sym2.ind (by simp)
#align simple_graph.subgraph.edge_set_inf SimpleGraph.Subgraph.edgeSet_inf
@[simp]
theorem edgeSet_sup {H₁ H₂ : Subgraph G} : (H₁ ⊔ H₂).edgeSet = H₁.edgeSet ∪ H₂.edgeSet :=
Set.ext <| Sym2.ind (by simp)
#align simple_graph.subgraph.edge_set_sup SimpleGraph.Subgraph.edgeSet_sup
@[simp]
theorem edgeSet_sSup (s : Set G.Subgraph) : (sSup s).edgeSet = ⋃ G' ∈ s, edgeSet G' := by
ext e
induction e using Sym2.ind
simp
#align simple_graph.subgraph.edge_set_Sup SimpleGraph.Subgraph.edgeSet_sSup
@[simp]
theorem edgeSet_sInf (s : Set G.Subgraph) :
(sInf s).edgeSet = (⋂ G' ∈ s, edgeSet G') ∩ G.edgeSet := by
ext e
induction e using Sym2.ind
simp
#align simple_graph.subgraph.edge_set_Inf SimpleGraph.Subgraph.edgeSet_sInf
@[simp]
theorem edgeSet_iSup (f : ι → G.Subgraph) :
(⨆ i, f i).edgeSet = ⋃ i, (f i).edgeSet := by simp [iSup]
#align simple_graph.subgraph.edge_set_supr SimpleGraph.Subgraph.edgeSet_iSup
@[simp]
theorem edgeSet_iInf (f : ι → G.Subgraph) :
(⨅ i, f i).edgeSet = (⋂ i, (f i).edgeSet) ∩ G.edgeSet := by
simp [iInf]
#align simple_graph.subgraph.edge_set_infi SimpleGraph.Subgraph.edgeSet_iInf
@[simp]
theorem spanningCoe_top : (⊤ : Subgraph G).spanningCoe = G := rfl
#align simple_graph.subgraph.spanning_coe_top SimpleGraph.Subgraph.spanningCoe_top
@[simp]
theorem spanningCoe_bot : (⊥ : Subgraph G).spanningCoe = ⊥ := rfl
#align simple_graph.subgraph.spanning_coe_bot SimpleGraph.Subgraph.spanningCoe_bot
@[simps]
def _root_.SimpleGraph.toSubgraph (H : SimpleGraph V) (h : H ≤ G) : G.Subgraph where
verts := Set.univ
Adj := H.Adj
adj_sub e := h e
edge_vert _ := Set.mem_univ _
symm := H.symm
#align simple_graph.to_subgraph SimpleGraph.toSubgraph
theorem support_mono {H H' : Subgraph G} (h : H ≤ H') : H.support ⊆ H'.support :=
Rel.dom_mono h.2
#align simple_graph.subgraph.support_mono SimpleGraph.Subgraph.support_mono
theorem _root_.SimpleGraph.toSubgraph.isSpanning (H : SimpleGraph V) (h : H ≤ G) :
(toSubgraph H h).IsSpanning :=
Set.mem_univ
#align simple_graph.to_subgraph.is_spanning SimpleGraph.toSubgraph.isSpanning
theorem spanningCoe_le_of_le {H H' : Subgraph G} (h : H ≤ H') : H.spanningCoe ≤ H'.spanningCoe :=
h.2
#align simple_graph.subgraph.spanning_coe_le_of_le SimpleGraph.Subgraph.spanningCoe_le_of_le
def topEquiv : (⊤ : Subgraph G).coe ≃g G where
toFun v := ↑v
invFun v := ⟨v, trivial⟩
left_inv _ := rfl
right_inv _ := rfl
map_rel_iff' := Iff.rfl
#align simple_graph.subgraph.top_equiv SimpleGraph.Subgraph.topEquiv
def botEquiv : (⊥ : Subgraph G).coe ≃g (⊥ : SimpleGraph Empty) where
toFun v := v.property.elim
invFun v := v.elim
left_inv := fun ⟨_, h⟩ ↦ h.elim
right_inv v := v.elim
map_rel_iff' := Iff.rfl
#align simple_graph.subgraph.bot_equiv SimpleGraph.Subgraph.botEquiv
theorem edgeSet_mono {H₁ H₂ : Subgraph G} (h : H₁ ≤ H₂) : H₁.edgeSet ≤ H₂.edgeSet :=
Sym2.ind h.2
#align simple_graph.subgraph.edge_set_mono SimpleGraph.Subgraph.edgeSet_mono
theorem _root_.Disjoint.edgeSet {H₁ H₂ : Subgraph G} (h : Disjoint H₁ H₂) :
Disjoint H₁.edgeSet H₂.edgeSet :=
disjoint_iff_inf_le.mpr <| by simpa using edgeSet_mono h.le_bot
#align disjoint.edge_set Disjoint.edgeSet
@[simps]
protected def map {G' : SimpleGraph W} (f : G →g G') (H : G.Subgraph) : G'.Subgraph where
verts := f '' H.verts
Adj := Relation.Map H.Adj f f
adj_sub := by
rintro _ _ ⟨u, v, h, rfl, rfl⟩
exact f.map_rel (H.adj_sub h)
edge_vert := by
rintro _ _ ⟨u, v, h, rfl, rfl⟩
exact Set.mem_image_of_mem _ (H.edge_vert h)
symm := by
rintro _ _ ⟨u, v, h, rfl, rfl⟩
exact ⟨v, u, H.symm h, rfl, rfl⟩
#align simple_graph.subgraph.map SimpleGraph.Subgraph.map
theorem map_monotone {G' : SimpleGraph W} (f : G →g G') : Monotone (Subgraph.map f) := by
intro H H' h
constructor
· intro
simp only [map_verts, Set.mem_image, forall_exists_index, and_imp]
rintro v hv rfl
exact ⟨_, h.1 hv, rfl⟩
· rintro _ _ ⟨u, v, ha, rfl, rfl⟩
exact ⟨_, _, h.2 ha, rfl, rfl⟩
#align simple_graph.subgraph.map_monotone SimpleGraph.Subgraph.map_monotone
| Mathlib/Combinatorics/SimpleGraph/Subgraph.lean | 661 | 673 | theorem map_sup {G : SimpleGraph V} {G' : SimpleGraph W} (f : G →g G') {H H' : G.Subgraph} :
(H ⊔ H').map f = H.map f ⊔ H'.map f := by |
ext1
· simp only [Set.image_union, map_verts, verts_sup]
· ext
simp only [Relation.Map, map_adj, sup_adj]
constructor
· rintro ⟨a, b, h | h, rfl, rfl⟩
· exact Or.inl ⟨_, _, h, rfl, rfl⟩
· exact Or.inr ⟨_, _, h, rfl, rfl⟩
· rintro (⟨a, b, h, rfl, rfl⟩ | ⟨a, b, h, rfl, rfl⟩)
· exact ⟨_, _, Or.inl h, rfl, rfl⟩
· exact ⟨_, _, Or.inr h, rfl, rfl⟩
|
import Mathlib.Algebra.Algebra.Spectrum
import Mathlib.LinearAlgebra.GeneralLinearGroup
import Mathlib.LinearAlgebra.FiniteDimensional
import Mathlib.RingTheory.Nilpotent.Basic
#align_import linear_algebra.eigenspace.basic from "leanprover-community/mathlib"@"6b0169218d01f2837d79ea2784882009a0da1aa1"
universe u v w
namespace Module
namespace End
open FiniteDimensional Set
variable {K R : Type v} {V M : Type w} [CommRing R] [AddCommGroup M] [Module R M] [Field K]
[AddCommGroup V] [Module K V]
def eigenspace (f : End R M) (μ : R) : Submodule R M :=
LinearMap.ker (f - algebraMap R (End R M) μ)
#align module.End.eigenspace Module.End.eigenspace
@[simp]
theorem eigenspace_zero (f : End R M) : f.eigenspace 0 = LinearMap.ker f := by simp [eigenspace]
#align module.End.eigenspace_zero Module.End.eigenspace_zero
def HasEigenvector (f : End R M) (μ : R) (x : M) : Prop :=
x ∈ eigenspace f μ ∧ x ≠ 0
#align module.End.has_eigenvector Module.End.HasEigenvector
def HasEigenvalue (f : End R M) (a : R) : Prop :=
eigenspace f a ≠ ⊥
#align module.End.has_eigenvalue Module.End.HasEigenvalue
def Eigenvalues (f : End R M) : Type _ :=
{ μ : R // f.HasEigenvalue μ }
#align module.End.eigenvalues Module.End.Eigenvalues
@[coe]
def Eigenvalues.val (f : Module.End R M) : Eigenvalues f → R := Subtype.val
instance Eigenvalues.instCoeOut {f : Module.End R M} : CoeOut (Eigenvalues f) R where
coe := Eigenvalues.val f
instance Eigenvalues.instDecidableEq [DecidableEq R] (f : Module.End R M) :
DecidableEq (Eigenvalues f) :=
inferInstanceAs (DecidableEq (Subtype (fun x : R => HasEigenvalue f x)))
theorem hasEigenvalue_of_hasEigenvector {f : End R M} {μ : R} {x : M} (h : HasEigenvector f μ x) :
HasEigenvalue f μ := by
rw [HasEigenvalue, Submodule.ne_bot_iff]
use x; exact h
#align module.End.has_eigenvalue_of_has_eigenvector Module.End.hasEigenvalue_of_hasEigenvector
theorem mem_eigenspace_iff {f : End R M} {μ : R} {x : M} : x ∈ eigenspace f μ ↔ f x = μ • x := by
rw [eigenspace, LinearMap.mem_ker, LinearMap.sub_apply, algebraMap_end_apply, sub_eq_zero]
#align module.End.mem_eigenspace_iff Module.End.mem_eigenspace_iff
theorem HasEigenvector.apply_eq_smul {f : End R M} {μ : R} {x : M} (hx : f.HasEigenvector μ x) :
f x = μ • x :=
mem_eigenspace_iff.mp hx.1
#align module.End.has_eigenvector.apply_eq_smul Module.End.HasEigenvector.apply_eq_smul
theorem HasEigenvector.pow_apply {f : End R M} {μ : R} {v : M} (hv : f.HasEigenvector μ v) (n : ℕ) :
(f ^ n) v = μ ^ n • v := by
induction n <;> simp [*, pow_succ f, hv.apply_eq_smul, smul_smul, pow_succ' μ]
theorem HasEigenvalue.exists_hasEigenvector {f : End R M} {μ : R} (hμ : f.HasEigenvalue μ) :
∃ v, f.HasEigenvector μ v :=
Submodule.exists_mem_ne_zero_of_ne_bot hμ
#align module.End.has_eigenvalue.exists_has_eigenvector Module.End.HasEigenvalue.exists_hasEigenvector
lemma HasEigenvalue.pow {f : End R M} {μ : R} (h : f.HasEigenvalue μ) (n : ℕ) :
(f ^ n).HasEigenvalue (μ ^ n) := by
rw [HasEigenvalue, Submodule.ne_bot_iff]
obtain ⟨m : M, hm⟩ := h.exists_hasEigenvector
exact ⟨m, by simpa [mem_eigenspace_iff] using hm.pow_apply n, hm.2⟩
lemma HasEigenvalue.isNilpotent_of_isNilpotent [NoZeroSMulDivisors R M] {f : End R M}
(hfn : IsNilpotent f) {μ : R} (hf : f.HasEigenvalue μ) :
IsNilpotent μ := by
obtain ⟨m : M, hm⟩ := hf.exists_hasEigenvector
obtain ⟨n : ℕ, hn : f ^ n = 0⟩ := hfn
exact ⟨n, by simpa [hn, hm.2, eq_comm (a := (0 : M))] using hm.pow_apply n⟩
theorem HasEigenvalue.mem_spectrum {f : End R M} {μ : R} (hμ : HasEigenvalue f μ) :
μ ∈ spectrum R f := by
refine spectrum.mem_iff.mpr fun h_unit => ?_
set f' := LinearMap.GeneralLinearGroup.toLinearEquiv h_unit.unit
rcases hμ.exists_hasEigenvector with ⟨v, hv⟩
refine hv.2 ((LinearMap.ker_eq_bot'.mp f'.ker) v (?_ : μ • v - f v = 0))
rw [hv.apply_eq_smul, sub_self]
#align module.End.mem_spectrum_of_has_eigenvalue Module.End.HasEigenvalue.mem_spectrum
theorem hasEigenvalue_iff_mem_spectrum [FiniteDimensional K V] {f : End K V} {μ : K} :
f.HasEigenvalue μ ↔ μ ∈ spectrum K f := by
rw [spectrum.mem_iff, IsUnit.sub_iff, LinearMap.isUnit_iff_ker_eq_bot, HasEigenvalue, eigenspace]
#align module.End.has_eigenvalue_iff_mem_spectrum Module.End.hasEigenvalue_iff_mem_spectrum
alias ⟨_, HasEigenvalue.of_mem_spectrum⟩ := hasEigenvalue_iff_mem_spectrum
theorem eigenspace_div (f : End K V) (a b : K) (hb : b ≠ 0) :
eigenspace f (a / b) = LinearMap.ker (b • f - algebraMap K (End K V) a) :=
calc
eigenspace f (a / b) = eigenspace f (b⁻¹ * a) := by rw [div_eq_mul_inv, mul_comm]
_ = LinearMap.ker (f - (b⁻¹ * a) • LinearMap.id) := by rw [eigenspace]; rfl
_ = LinearMap.ker (f - b⁻¹ • a • LinearMap.id) := by rw [smul_smul]
_ = LinearMap.ker (f - b⁻¹ • algebraMap K (End K V) a) := rfl
_ = LinearMap.ker (b • (f - b⁻¹ • algebraMap K (End K V) a)) := by
rw [LinearMap.ker_smul _ b hb]
_ = LinearMap.ker (b • f - algebraMap K (End K V) a) := by rw [smul_sub, smul_inv_smul₀ hb]
#align module.End.eigenspace_div Module.End.eigenspace_div
def genEigenspace (f : End R M) (μ : R) : ℕ →o Submodule R M where
toFun k := LinearMap.ker ((f - algebraMap R (End R M) μ) ^ k)
monotone' k m hm := by
simp only [← pow_sub_mul_pow _ hm]
exact
LinearMap.ker_le_ker_comp ((f - algebraMap R (End R M) μ) ^ k)
((f - algebraMap R (End R M) μ) ^ (m - k))
#align module.End.generalized_eigenspace Module.End.genEigenspace
@[simp]
theorem mem_genEigenspace (f : End R M) (μ : R) (k : ℕ) (m : M) :
m ∈ f.genEigenspace μ k ↔ ((f - μ • (1 : End R M)) ^ k) m = 0 := Iff.rfl
#align module.End.mem_generalized_eigenspace Module.End.mem_genEigenspace
@[simp]
theorem genEigenspace_zero (f : End R M) (k : ℕ) :
f.genEigenspace 0 k = LinearMap.ker (f ^ k) := by
simp [Module.End.genEigenspace]
#align module.End.generalized_eigenspace_zero Module.End.genEigenspace_zero
def HasGenEigenvector (f : End R M) (μ : R) (k : ℕ) (x : M) : Prop :=
x ≠ 0 ∧ x ∈ genEigenspace f μ k
#align module.End.has_generalized_eigenvector Module.End.HasGenEigenvector
def HasGenEigenvalue (f : End R M) (μ : R) (k : ℕ) : Prop :=
genEigenspace f μ k ≠ ⊥
#align module.End.has_generalized_eigenvalue Module.End.HasGenEigenvalue
def genEigenrange (f : End R M) (μ : R) (k : ℕ) : Submodule R M :=
LinearMap.range ((f - algebraMap R (End R M) μ) ^ k)
#align module.End.generalized_eigenrange Module.End.genEigenrange
theorem exp_ne_zero_of_hasGenEigenvalue {f : End R M} {μ : R} {k : ℕ}
(h : f.HasGenEigenvalue μ k) : k ≠ 0 := by
rintro rfl
exact h LinearMap.ker_id
#align module.End.exp_ne_zero_of_has_generalized_eigenvalue Module.End.exp_ne_zero_of_hasGenEigenvalue
def maxGenEigenspace (f : End R M) (μ : R) : Submodule R M :=
⨆ k, f.genEigenspace μ k
#align module.End.maximal_generalized_eigenspace Module.End.maxGenEigenspace
theorem genEigenspace_le_maximal (f : End R M) (μ : R) (k : ℕ) :
f.genEigenspace μ k ≤ f.maxGenEigenspace μ :=
le_iSup _ _
#align module.End.generalized_eigenspace_le_maximal Module.End.genEigenspace_le_maximal
@[simp]
| Mathlib/LinearAlgebra/Eigenspace/Basic.lean | 225 | 227 | theorem mem_maxGenEigenspace (f : End R M) (μ : R) (m : M) :
m ∈ f.maxGenEigenspace μ ↔ ∃ k : ℕ, ((f - μ • (1 : End R M)) ^ k) m = 0 := by |
simp only [maxGenEigenspace, ← mem_genEigenspace, Submodule.mem_iSup_of_chain]
|
import Mathlib.Data.Matrix.Basis
import Mathlib.RingTheory.TensorProduct.Basic
#align_import ring_theory.matrix_algebra from "leanprover-community/mathlib"@"6c351a8fb9b06e5a542fdf427bfb9f46724f9453"
suppress_compilation
universe u v w
open TensorProduct
open TensorProduct
open Algebra.TensorProduct
open Matrix
variable {R : Type u} [CommSemiring R]
variable {A : Type v} [Semiring A] [Algebra R A]
variable {n : Type w}
variable (R A n)
namespace MatrixEquivTensor
def toFunBilinear : A →ₗ[R] Matrix n n R →ₗ[R] Matrix n n A :=
(Algebra.lsmul R R (Matrix n n A)).toLinearMap.compl₂ (Algebra.linearMap R A).mapMatrix
#align matrix_equiv_tensor.to_fun_bilinear MatrixEquivTensor.toFunBilinear
@[simp]
theorem toFunBilinear_apply (a : A) (m : Matrix n n R) :
toFunBilinear R A n a m = a • m.map (algebraMap R A) :=
rfl
#align matrix_equiv_tensor.to_fun_bilinear_apply MatrixEquivTensor.toFunBilinear_apply
def toFunLinear : A ⊗[R] Matrix n n R →ₗ[R] Matrix n n A :=
TensorProduct.lift (toFunBilinear R A n)
#align matrix_equiv_tensor.to_fun_linear MatrixEquivTensor.toFunLinear
variable [DecidableEq n] [Fintype n]
def toFunAlgHom : A ⊗[R] Matrix n n R →ₐ[R] Matrix n n A :=
algHomOfLinearMapTensorProduct (toFunLinear R A n)
(by
intros
simp_rw [toFunLinear, lift.tmul, toFunBilinear_apply, Matrix.map_mul]
ext
dsimp
simp_rw [Matrix.mul_apply, Matrix.smul_apply, Matrix.map_apply, smul_eq_mul, Finset.mul_sum,
_root_.mul_assoc, Algebra.left_comm])
(by
simp_rw [toFunLinear, lift.tmul, toFunBilinear_apply,
Matrix.map_one (algebraMap R A) (map_zero _) (map_one _), one_smul])
#align matrix_equiv_tensor.to_fun_alg_hom MatrixEquivTensor.toFunAlgHom
@[simp]
theorem toFunAlgHom_apply (a : A) (m : Matrix n n R) :
toFunAlgHom R A n (a ⊗ₜ m) = a • m.map (algebraMap R A) := rfl
#align matrix_equiv_tensor.to_fun_alg_hom_apply MatrixEquivTensor.toFunAlgHom_apply
def invFun (M : Matrix n n A) : A ⊗[R] Matrix n n R :=
∑ p : n × n, M p.1 p.2 ⊗ₜ stdBasisMatrix p.1 p.2 1
#align matrix_equiv_tensor.inv_fun MatrixEquivTensor.invFun
@[simp]
theorem invFun_zero : invFun R A n 0 = 0 := by simp [invFun]
#align matrix_equiv_tensor.inv_fun_zero MatrixEquivTensor.invFun_zero
@[simp]
theorem invFun_add (M N : Matrix n n A) :
invFun R A n (M + N) = invFun R A n M + invFun R A n N := by
simp [invFun, add_tmul, Finset.sum_add_distrib]
#align matrix_equiv_tensor.inv_fun_add MatrixEquivTensor.invFun_add
@[simp]
theorem invFun_smul (a : A) (M : Matrix n n A) :
invFun R A n (a • M) = a ⊗ₜ 1 * invFun R A n M := by
simp [invFun, Finset.mul_sum]
#align matrix_equiv_tensor.inv_fun_smul MatrixEquivTensor.invFun_smul
@[simp]
theorem invFun_algebraMap (M : Matrix n n R) : invFun R A n (M.map (algebraMap R A)) = 1 ⊗ₜ M := by
dsimp [invFun]
simp only [Algebra.algebraMap_eq_smul_one, smul_tmul, ← tmul_sum, mul_boole]
congr
conv_rhs => rw [matrix_eq_sum_std_basis M]
convert Finset.sum_product (β := Matrix n n R); simp
#align matrix_equiv_tensor.inv_fun_algebra_map MatrixEquivTensor.invFun_algebraMap
| Mathlib/RingTheory/MatrixAlgebra.lean | 113 | 121 | theorem right_inv (M : Matrix n n A) : (toFunAlgHom R A n) (invFun R A n M) = M := by |
simp only [invFun, AlgHom.map_sum, stdBasisMatrix, apply_ite ↑(algebraMap R A), smul_eq_mul,
mul_boole, toFunAlgHom_apply, RingHom.map_zero, RingHom.map_one, Matrix.map_apply,
Pi.smul_def]
convert Finset.sum_product (β := Matrix n n A)
conv_lhs => rw [matrix_eq_sum_std_basis M]
refine Finset.sum_congr rfl fun i _ => Finset.sum_congr rfl fun j _ => Matrix.ext fun a b => ?_
simp only [stdBasisMatrix, smul_apply, Matrix.map_apply]
split_ifs <;> aesop
|
import Mathlib.Tactic.Linarith.Datatypes
import Mathlib.Tactic.Zify
import Mathlib.Tactic.CancelDenoms.Core
import Batteries.Data.RBMap.Basic
import Mathlib.Data.HashMap
import Mathlib.Control.Basic
set_option autoImplicit true
namespace Linarith
open Lean hiding Rat
open Elab Tactic Meta
open Qq
partial def splitConjunctions : Preprocessor where
name := "split conjunctions"
transform := aux
where
aux (proof : Expr) : MetaM (List Expr) := do
match (← instantiateMVars (← inferType proof)).getAppFnArgs with
| (``And, #[_, _]) =>
pure ((← aux (← mkAppM ``And.left #[proof])) ++
(← aux (← mkAppM ``And.right #[proof])))
| _ => pure [proof]
partial def filterComparisons : Preprocessor where
name := "filter terms that are not proofs of comparisons"
transform h := do
let tp ← whnfR (← instantiateMVars (← inferType h))
if (← isProp tp) && (← aux tp) then pure [h]
else pure []
where
aux (e : Expr) : MetaM Bool := do
match e.getAppFnArgs with
| (``Eq, _) | (``LE.le, _) | (``LT.lt, _) => pure true
| (``Not, #[e]) => match (← whnfR e).getAppFnArgs with
| (``LE.le, _) | (``LT.lt, _) => pure true
| _ => pure false
| _ => pure false
section cancelDenoms
| Mathlib/Tactic/Linarith/Preprocessing.lean | 273 | 273 | theorem without_one_mul [MulOneClass M] {a b : M} (h : 1 * a = b) : a = b := by | rwa [one_mul] at h
|
import Mathlib.Topology.Algebra.Nonarchimedean.Bases
import Mathlib.Topology.Algebra.UniformFilterBasis
import Mathlib.RingTheory.Valuation.ValuationSubring
#align_import topology.algebra.valuation from "leanprover-community/mathlib"@"f2ce6086713c78a7f880485f7917ea547a215982"
open scoped Classical
open Topology uniformity
open Set Valuation
noncomputable section
universe v u
variable {R : Type u} [Ring R] {Γ₀ : Type v} [LinearOrderedCommGroupWithZero Γ₀]
namespace Valuation
variable (v : Valuation R Γ₀)
| Mathlib/Topology/Algebra/Valuation.lean | 37 | 81 | theorem subgroups_basis : RingSubgroupsBasis fun γ : Γ₀ˣ => (v.ltAddSubgroup γ : AddSubgroup R) :=
{ inter := by |
rintro γ₀ γ₁
use min γ₀ γ₁
simp only [ltAddSubgroup, ge_iff_le, Units.min_val, Units.val_le_val, lt_min_iff,
AddSubgroup.mk_le_mk, setOf_subset_setOf, le_inf_iff, and_imp, imp_self, implies_true,
forall_const, and_true]
tauto
mul := by
rintro γ
cases' exists_square_le γ with γ₀ h
use γ₀
rintro - ⟨r, r_in, s, s_in, rfl⟩
calc
(v (r * s) : Γ₀) = v r * v s := Valuation.map_mul _ _ _
_ < γ₀ * γ₀ := mul_lt_mul₀ r_in s_in
_ ≤ γ := mod_cast h
leftMul := by
rintro x γ
rcases GroupWithZero.eq_zero_or_unit (v x) with (Hx | ⟨γx, Hx⟩)
· use (1 : Γ₀ˣ)
rintro y _
change v (x * y) < _
rw [Valuation.map_mul, Hx, zero_mul]
exact Units.zero_lt γ
· use γx⁻¹ * γ
rintro y (vy_lt : v y < ↑(γx⁻¹ * γ))
change (v (x * y) : Γ₀) < γ
rw [Valuation.map_mul, Hx, mul_comm]
rw [Units.val_mul, mul_comm] at vy_lt
simpa using mul_inv_lt_of_lt_mul₀ vy_lt
rightMul := by
rintro x γ
rcases GroupWithZero.eq_zero_or_unit (v x) with (Hx | ⟨γx, Hx⟩)
· use 1
rintro y _
change v (y * x) < _
rw [Valuation.map_mul, Hx, mul_zero]
exact Units.zero_lt γ
· use γx⁻¹ * γ
rintro y (vy_lt : v y < ↑(γx⁻¹ * γ))
change (v (y * x) : Γ₀) < γ
rw [Valuation.map_mul, Hx]
rw [Units.val_mul, mul_comm] at vy_lt
simpa using mul_inv_lt_of_lt_mul₀ vy_lt }
|
import Mathlib.Order.Filter.Cofinite
import Mathlib.Order.Filter.CountableInter
import Mathlib.Order.Filter.CardinalInter
import Mathlib.SetTheory.Cardinal.Ordinal
import Mathlib.SetTheory.Cardinal.Cofinality
import Mathlib.Order.Filter.Bases
open Set Filter Cardinal
universe u
variable {ι : Type u} {α β : Type u}
variable {c : Cardinal.{u}} {hreg : c.IsRegular}
variable {l : Filter α}
namespace Filter
variable (α) in
def cocardinal (hreg : c.IsRegular) : Filter α := by
apply ofCardinalUnion {s | Cardinal.mk s < c} (lt_of_lt_of_le (nat_lt_aleph0 2) hreg.aleph0_le)
· refine fun s hS hSc ↦ lt_of_le_of_lt (mk_sUnion_le _) <| mul_lt_of_lt hreg.aleph0_le hS ?_
exact iSup_lt_of_isRegular hreg hS fun i ↦ hSc i i.property
· exact fun _ hSc _ ht ↦ lt_of_le_of_lt (mk_le_mk_of_subset ht) hSc
@[simp]
theorem mem_cocardinal {s : Set α} :
s ∈ cocardinal α hreg ↔ Cardinal.mk (sᶜ : Set α) < c := Iff.rfl
@[simp] lemma cocardinal_aleph0_eq_cofinite :
cocardinal (α := α) isRegular_aleph0 = cofinite := by
aesop
instance instCardinalInterFilter_cocardinal : CardinalInterFilter (cocardinal (α := α) hreg) c where
cardinal_sInter_mem S hS hSs := by
rw [mem_cocardinal, Set.compl_sInter]
apply lt_of_le_of_lt (mk_sUnion_le _)
apply mul_lt_of_lt hreg.aleph0_le (lt_of_le_of_lt mk_image_le hS)
apply iSup_lt_of_isRegular hreg <| lt_of_le_of_lt mk_image_le hS
intro i
aesop
@[simp]
theorem eventually_cocardinal {p : α → Prop} :
(∀ᶠ x in cocardinal α hreg, p x) ↔ #{ x | ¬p x } < c := Iff.rfl
theorem hasBasis_cocardinal : HasBasis (cocardinal α hreg) {s : Set α | #s < c} compl :=
⟨fun s =>
⟨fun h => ⟨sᶜ, h, (compl_compl s).subset⟩, fun ⟨_t, htf, hts⟩ => by
have : #↑sᶜ < c := by
apply lt_of_le_of_lt _ htf
rw [compl_subset_comm] at hts
apply Cardinal.mk_le_mk_of_subset hts
simp_all only [mem_cocardinal] ⟩⟩
| Mathlib/Order/Filter/Cocardinal.lean | 70 | 72 | theorem frequently_cocardinal {p : α → Prop} :
(∃ᶠ x in cocardinal α hreg, p x) ↔ c ≤ # { x | p x } := by |
simp only [Filter.Frequently, eventually_cocardinal, not_not,coe_setOf, not_lt]
|
import Batteries.Data.Char
import Batteries.Data.List.Lemmas
import Batteries.Data.String.Basic
import Batteries.Tactic.Lint.Misc
import Batteries.Tactic.SeqFocus
namespace String
attribute [ext] ext
theorem lt_trans {s₁ s₂ s₃ : String} : s₁ < s₂ → s₂ < s₃ → s₁ < s₃ :=
List.lt_trans' (α := Char) Nat.lt_trans
(fun h1 h2 => Nat.not_lt.2 <| Nat.le_trans (Nat.not_lt.1 h2) (Nat.not_lt.1 h1))
theorem lt_antisymm {s₁ s₂ : String} (h₁ : ¬s₁ < s₂) (h₂ : ¬s₂ < s₁) : s₁ = s₂ :=
ext <| List.lt_antisymm' (α := Char)
(fun h1 h2 => Char.le_antisymm (Nat.not_lt.1 h2) (Nat.not_lt.1 h1)) h₁ h₂
instance : Batteries.TransOrd String := .compareOfLessAndEq
String.lt_irrefl String.lt_trans String.lt_antisymm
instance : Batteries.LTOrd String := .compareOfLessAndEq
String.lt_irrefl String.lt_trans String.lt_antisymm
instance : Batteries.BEqOrd String := .compareOfLessAndEq String.lt_irrefl
@[simp] theorem mk_length (s : List Char) : (String.mk s).length = s.length := rfl
attribute [simp] toList -- prefer `String.data` over `String.toList` in lemmas
private theorem add_csize_pos : 0 < i + csize c :=
Nat.add_pos_right _ (csize_pos c)
private theorem ne_add_csize_add_self : i ≠ n + csize c + i :=
Nat.ne_of_lt (Nat.lt_add_of_pos_left add_csize_pos)
private theorem ne_self_add_add_csize : i ≠ i + (n + csize c) :=
Nat.ne_of_lt (Nat.lt_add_of_pos_right add_csize_pos)
@[inline] def utf8Len : List Char → Nat := utf8ByteSize.go
@[simp] theorem utf8ByteSize.go_eq : utf8ByteSize.go = utf8Len := rfl
@[simp] theorem utf8ByteSize_mk (cs) : utf8ByteSize ⟨cs⟩ = utf8Len cs := rfl
@[simp] theorem utf8Len_nil : utf8Len [] = 0 := rfl
@[simp] theorem utf8Len_cons (c cs) : utf8Len (c :: cs) = utf8Len cs + csize c := rfl
@[simp] theorem utf8Len_append (cs₁ cs₂) : utf8Len (cs₁ ++ cs₂) = utf8Len cs₁ + utf8Len cs₂ := by
induction cs₁ <;> simp [*, Nat.add_right_comm]
@[simp] theorem utf8Len_reverseAux (cs₁ cs₂) :
utf8Len (cs₁.reverseAux cs₂) = utf8Len cs₁ + utf8Len cs₂ := by
induction cs₁ generalizing cs₂ <;> simp [*, ← Nat.add_assoc, Nat.add_right_comm]
@[simp] theorem utf8Len_reverse (cs) : utf8Len cs.reverse = utf8Len cs := utf8Len_reverseAux ..
@[simp] theorem utf8Len_eq_zero : utf8Len l = 0 ↔ l = [] := by
cases l <;> simp [Nat.ne_of_gt add_csize_pos]
section
open List
theorem utf8Len_le_of_sublist : ∀ {cs₁ cs₂}, cs₁ <+ cs₂ → utf8Len cs₁ ≤ utf8Len cs₂
| _, _, .slnil => Nat.le_refl _
| _, _, .cons _ h => Nat.le_trans (utf8Len_le_of_sublist h) (Nat.le_add_right ..)
| _, _, .cons₂ _ h => Nat.add_le_add_right (utf8Len_le_of_sublist h) _
theorem utf8Len_le_of_infix (h : cs₁ <:+: cs₂) : utf8Len cs₁ ≤ utf8Len cs₂ :=
utf8Len_le_of_sublist h.sublist
theorem utf8Len_le_of_suffix (h : cs₁ <:+ cs₂) : utf8Len cs₁ ≤ utf8Len cs₂ :=
utf8Len_le_of_sublist h.sublist
theorem utf8Len_le_of_prefix (h : cs₁ <+: cs₂) : utf8Len cs₁ ≤ utf8Len cs₂ :=
utf8Len_le_of_sublist h.sublist
end
@[simp] theorem endPos_eq (cs : List Char) : endPos ⟨cs⟩ = ⟨utf8Len cs⟩ := rfl
theorem endPos_eq_zero : ∀ (s : String), endPos s = 0 ↔ s = ""
| ⟨_⟩ => Pos.ext_iff.trans <| utf8Len_eq_zero.trans ext_iff.symm
theorem isEmpty_iff (s : String) : isEmpty s ↔ s = "" :=
(beq_iff_eq ..).trans (endPos_eq_zero _)
def utf8InductionOn {motive : List Char → Pos → Sort u}
(s : List Char) (i p : Pos)
(nil : ∀ i, motive [] i)
(eq : ∀ c cs, motive (c :: cs) p)
(ind : ∀ (c : Char) cs i, i ≠ p → motive cs (i + c) → motive (c :: cs) i) :
motive s i :=
match s with
| [] => nil i
| c::cs =>
if h : i = p then
h ▸ eq c cs
else ind c cs i h (utf8InductionOn cs (i + c) p nil eq ind)
| .lake/packages/batteries/Batteries/Data/String/Lemmas.lean | 134 | 143 | theorem utf8GetAux_add_right_cancel (s : List Char) (i p n : Nat) :
utf8GetAux s ⟨i + n⟩ ⟨p + n⟩ = utf8GetAux s ⟨i⟩ ⟨p⟩ := by |
apply utf8InductionOn s ⟨i⟩ ⟨p⟩ (motive := fun s i =>
utf8GetAux s ⟨i.byteIdx + n⟩ ⟨p + n⟩ = utf8GetAux s i ⟨p⟩) <;>
simp [utf8GetAux]
intro c cs ⟨i⟩ h ih
simp [Pos.ext_iff, Pos.addChar_eq] at h ⊢
simp [Nat.add_right_cancel_iff, h]
rw [Nat.add_right_comm]
exact ih
|
import Batteries.Data.Array.Lemmas
namespace ByteArray
@[ext] theorem ext : {a b : ByteArray} → a.data = b.data → a = b
| ⟨_⟩, ⟨_⟩, rfl => rfl
theorem getElem_eq_data_getElem (a : ByteArray) (h : i < a.size) : a[i] = a.data[i] := rfl
@[simp] theorem uset_eq_set (a : ByteArray) {i : USize} (h : i.toNat < a.size) (v : UInt8) :
a.uset i v h = a.set ⟨i.toNat, h⟩ v := rfl
@[simp] theorem mkEmpty_data (cap) : (mkEmpty cap).data = #[] := rfl
@[simp] theorem empty_data : empty.data = #[] := rfl
@[simp] theorem size_empty : empty.size = 0 := rfl
@[simp] theorem push_data (a : ByteArray) (b : UInt8) : (a.push b).data = a.data.push b := rfl
@[simp] theorem size_push (a : ByteArray) (b : UInt8) : (a.push b).size = a.size + 1 :=
Array.size_push ..
@[simp] theorem get_push_eq (a : ByteArray) (x : UInt8) : (a.push x)[a.size] = x :=
Array.get_push_eq ..
theorem get_push_lt (a : ByteArray) (x : UInt8) (i : Nat) (h : i < a.size) :
(a.push x)[i]'(size_push .. ▸ Nat.lt_succ_of_lt h) = a[i] :=
Array.get_push_lt ..
@[simp] theorem set_data (a : ByteArray) (i : Fin a.size) (v : UInt8) :
(a.set i v).data = a.data.set i v := rfl
@[simp] theorem size_set (a : ByteArray) (i : Fin a.size) (v : UInt8) :
(a.set i v).size = a.size :=
Array.size_set ..
@[simp] theorem get_set_eq (a : ByteArray) (i : Fin a.size) (v : UInt8) : (a.set i v)[i.val] = v :=
Array.get_set_eq ..
theorem get_set_ne (a : ByteArray) (i : Fin a.size) (v : UInt8) (hj : j < a.size) (h : i.val ≠ j) :
(a.set i v)[j]'(a.size_set .. ▸ hj) = a[j] :=
Array.get_set_ne (h:=h) ..
theorem set_set (a : ByteArray) (i : Fin a.size) (v v' : UInt8) :
(a.set i v).set ⟨i, by simp [i.2]⟩ v' = a.set i v' :=
ByteArray.ext <| Array.set_set ..
@[simp] theorem copySlice_data (a i b j len exact) :
(copySlice a i b j len exact).data = b.data.extract 0 j ++ a.data.extract i (i + len)
++ b.data.extract (j + min len (a.data.size - i)) b.data.size := rfl
@[simp] theorem append_eq (a b) : ByteArray.append a b = a ++ b := rfl
@[simp] theorem append_data (a b : ByteArray) : (a ++ b).data = a.data ++ b.data := by
rw [←append_eq]; simp [ByteArray.append, size]
rw [Array.extract_empty_of_stop_le_start (h:=Nat.le_add_right ..), Array.append_nil]
theorem size_append (a b : ByteArray) : (a ++ b).size = a.size + b.size := by
simp only [size, append_eq, append_data]; exact Array.size_append ..
theorem get_append_left {a b : ByteArray} (hlt : i < a.size)
(h : i < (a ++ b).size := size_append .. ▸ Nat.lt_of_lt_of_le hlt (Nat.le_add_right ..)) :
(a ++ b)[i] = a[i] := by
simp [getElem_eq_data_getElem]; exact Array.get_append_left hlt
| .lake/packages/batteries/Batteries/Data/ByteArray.lean | 84 | 87 | theorem get_append_right {a b : ByteArray} (hle : a.size ≤ i) (h : i < (a ++ b).size)
(h' : i - a.size < b.size := Nat.sub_lt_left_of_lt_add hle (size_append .. ▸ h)) :
(a ++ b)[i] = b[i - a.size] := by |
simp [getElem_eq_data_getElem]; exact Array.get_append_right hle
|
import Mathlib.Topology.Category.TopCat.Limits.Pullbacks
import Mathlib.Geometry.RingedSpace.LocallyRingedSpace
#align_import algebraic_geometry.open_immersion.basic from "leanprover-community/mathlib"@"533f62f4dd62a5aad24a04326e6e787c8f7e98b1"
-- Porting note: due to `PresheafedSpace`, `SheafedSpace` and `LocallyRingedSpace`
set_option linter.uppercaseLean3 false
open TopologicalSpace CategoryTheory Opposite
open CategoryTheory.Limits
namespace AlgebraicGeometry
universe v v₁ v₂ u
variable {C : Type u} [Category.{v} C]
class PresheafedSpace.IsOpenImmersion {X Y : PresheafedSpace C} (f : X ⟶ Y) : Prop where
base_open : OpenEmbedding f.base
c_iso : ∀ U : Opens X, IsIso (f.c.app (op (base_open.isOpenMap.functor.obj U)))
#align algebraic_geometry.PresheafedSpace.is_open_immersion AlgebraicGeometry.PresheafedSpace.IsOpenImmersion
abbrev SheafedSpace.IsOpenImmersion {X Y : SheafedSpace C} (f : X ⟶ Y) : Prop :=
PresheafedSpace.IsOpenImmersion f
#align algebraic_geometry.SheafedSpace.is_open_immersion AlgebraicGeometry.SheafedSpace.IsOpenImmersion
abbrev LocallyRingedSpace.IsOpenImmersion {X Y : LocallyRingedSpace} (f : X ⟶ Y) : Prop :=
SheafedSpace.IsOpenImmersion f.1
#align algebraic_geometry.LocallyRingedSpace.is_open_immersion AlgebraicGeometry.LocallyRingedSpace.IsOpenImmersion
namespace PresheafedSpace.IsOpenImmersion
open PresheafedSpace
local notation "IsOpenImmersion" => PresheafedSpace.IsOpenImmersion
attribute [instance] IsOpenImmersion.c_iso
section
variable {X Y : PresheafedSpace C} {f : X ⟶ Y} (H : IsOpenImmersion f)
abbrev openFunctor :=
H.base_open.isOpenMap.functor
#align algebraic_geometry.PresheafedSpace.is_open_immersion.open_functor AlgebraicGeometry.PresheafedSpace.IsOpenImmersion.openFunctor
@[simps! hom_c_app]
noncomputable def isoRestrict : X ≅ Y.restrict H.base_open :=
PresheafedSpace.isoOfComponents (Iso.refl _) <| by
symm
fapply NatIso.ofComponents
· intro U
refine asIso (f.c.app (op (H.openFunctor.obj (unop U)))) ≪≫ X.presheaf.mapIso (eqToIso ?_)
induction U using Opposite.rec' with | h U => ?_
cases U
dsimp only [IsOpenMap.functor, Functor.op, Opens.map]
congr 2
erw [Set.preimage_image_eq _ H.base_open.inj]
rfl
· intro U V i
simp only [CategoryTheory.eqToIso.hom, TopCat.Presheaf.pushforwardObj_map, Category.assoc,
Functor.op_map, Iso.trans_hom, asIso_hom, Functor.mapIso_hom, ← X.presheaf.map_comp]
erw [f.c.naturality_assoc, ← X.presheaf.map_comp]
congr 1
#align algebraic_geometry.PresheafedSpace.is_open_immersion.iso_restrict AlgebraicGeometry.PresheafedSpace.IsOpenImmersion.isoRestrict
@[simp]
| Mathlib/Geometry/RingedSpace/OpenImmersion.lean | 133 | 141 | theorem isoRestrict_hom_ofRestrict : H.isoRestrict.hom ≫ Y.ofRestrict _ = f := by |
-- Porting note: `ext` did not pick up `NatTrans.ext`
refine PresheafedSpace.Hom.ext _ _ rfl <| NatTrans.ext _ _ <| funext fun x => ?_
simp only [isoRestrict_hom_c_app, NatTrans.comp_app, eqToHom_refl,
ofRestrict_c_app, Category.assoc, whiskerRight_id']
erw [Category.comp_id, comp_c_app, f.c.naturality_assoc, ← X.presheaf.map_comp]
trans f.c.app x ≫ X.presheaf.map (𝟙 _)
· congr 1
· erw [X.presheaf.map_id, Category.comp_id]
|
import Mathlib.Analysis.Calculus.MeanValue
import Mathlib.MeasureTheory.Integral.DominatedConvergence
import Mathlib.MeasureTheory.Integral.SetIntegral
import Mathlib.Analysis.NormedSpace.HahnBanach.SeparatingDual
#align_import analysis.calculus.parametric_integral from "leanprover-community/mathlib"@"8f9fea08977f7e450770933ee6abb20733b47c92"
noncomputable section
open TopologicalSpace MeasureTheory Filter Metric
open scoped Topology Filter
variable {α : Type*} [MeasurableSpace α] {μ : Measure α} {𝕜 : Type*} [RCLike 𝕜] {E : Type*}
[NormedAddCommGroup E] [NormedSpace ℝ E] [NormedSpace 𝕜 E] {H : Type*}
[NormedAddCommGroup H] [NormedSpace 𝕜 H]
variable {F : H → α → E} {x₀ : H} {bound : α → ℝ} {ε : ℝ}
theorem hasFDerivAt_integral_of_dominated_loc_of_lip' {F' : α → H →L[𝕜] E} (ε_pos : 0 < ε)
(hF_meas : ∀ x ∈ ball x₀ ε, AEStronglyMeasurable (F x) μ) (hF_int : Integrable (F x₀) μ)
(hF'_meas : AEStronglyMeasurable F' μ)
(h_lipsch : ∀ᵐ a ∂μ, ∀ x ∈ ball x₀ ε, ‖F x a - F x₀ a‖ ≤ bound a * ‖x - x₀‖)
(bound_integrable : Integrable (bound : α → ℝ) μ)
(h_diff : ∀ᵐ a ∂μ, HasFDerivAt (F · a) (F' a) x₀) :
Integrable F' μ ∧ HasFDerivAt (fun x ↦ ∫ a, F x a ∂μ) (∫ a, F' a ∂μ) x₀ := by
have x₀_in : x₀ ∈ ball x₀ ε := mem_ball_self ε_pos
have nneg : ∀ x, 0 ≤ ‖x - x₀‖⁻¹ := fun x ↦ inv_nonneg.mpr (norm_nonneg _)
set b : α → ℝ := fun a ↦ |bound a|
have b_int : Integrable b μ := bound_integrable.norm
have b_nonneg : ∀ a, 0 ≤ b a := fun a ↦ abs_nonneg _
replace h_lipsch : ∀ᵐ a ∂μ, ∀ x ∈ ball x₀ ε, ‖F x a - F x₀ a‖ ≤ b a * ‖x - x₀‖ :=
h_lipsch.mono fun a ha x hx ↦
(ha x hx).trans <| mul_le_mul_of_nonneg_right (le_abs_self _) (norm_nonneg _)
have hF_int' : ∀ x ∈ ball x₀ ε, Integrable (F x) μ := fun x x_in ↦ by
have : ∀ᵐ a ∂μ, ‖F x₀ a - F x a‖ ≤ ε * b a := by
simp only [norm_sub_rev (F x₀ _)]
refine h_lipsch.mono fun a ha ↦ (ha x x_in).trans ?_
rw [mul_comm ε]
rw [mem_ball, dist_eq_norm] at x_in
exact mul_le_mul_of_nonneg_left x_in.le (b_nonneg _)
exact integrable_of_norm_sub_le (hF_meas x x_in) hF_int
(bound_integrable.norm.const_mul ε) this
have hF'_int : Integrable F' μ :=
have : ∀ᵐ a ∂μ, ‖F' a‖ ≤ b a := by
apply (h_diff.and h_lipsch).mono
rintro a ⟨ha_diff, ha_lip⟩
exact ha_diff.le_of_lip' (b_nonneg a) (mem_of_superset (ball_mem_nhds _ ε_pos) <| ha_lip)
b_int.mono' hF'_meas this
refine ⟨hF'_int, ?_⟩
by_cases hE : CompleteSpace E; swap
· rcases subsingleton_or_nontrivial H with hH|hH
· have : Subsingleton (H →L[𝕜] E) := inferInstance
convert hasFDerivAt_of_subsingleton _ x₀
· have : ¬(CompleteSpace (H →L[𝕜] E)) := by
simpa [SeparatingDual.completeSpace_continuousLinearMap_iff] using hE
simp only [integral, hE, ↓reduceDite, this]
exact hasFDerivAt_const 0 x₀
have h_ball : ball x₀ ε ∈ 𝓝 x₀ := ball_mem_nhds x₀ ε_pos
have : ∀ᶠ x in 𝓝 x₀, ‖x - x₀‖⁻¹ * ‖((∫ a, F x a ∂μ) - ∫ a, F x₀ a ∂μ) - (∫ a, F' a ∂μ) (x - x₀)‖ =
‖∫ a, ‖x - x₀‖⁻¹ • (F x a - F x₀ a - F' a (x - x₀)) ∂μ‖ := by
apply mem_of_superset (ball_mem_nhds _ ε_pos)
intro x x_in; simp only
rw [Set.mem_setOf_eq, ← norm_smul_of_nonneg (nneg _), integral_smul, integral_sub, integral_sub,
← ContinuousLinearMap.integral_apply hF'_int]
exacts [hF_int' x x_in, hF_int, (hF_int' x x_in).sub hF_int,
hF'_int.apply_continuousLinearMap _]
rw [hasFDerivAt_iff_tendsto, tendsto_congr' this, ← tendsto_zero_iff_norm_tendsto_zero, ←
show (∫ a : α, ‖x₀ - x₀‖⁻¹ • (F x₀ a - F x₀ a - (F' a) (x₀ - x₀)) ∂μ) = 0 by simp]
apply tendsto_integral_filter_of_dominated_convergence
· filter_upwards [h_ball] with _ x_in
apply AEStronglyMeasurable.const_smul
exact ((hF_meas _ x_in).sub (hF_meas _ x₀_in)).sub (hF'_meas.apply_continuousLinearMap _)
· refine mem_of_superset h_ball fun x hx ↦ ?_
apply (h_diff.and h_lipsch).mono
on_goal 1 => rintro a ⟨-, ha_bound⟩
show ‖‖x - x₀‖⁻¹ • (F x a - F x₀ a - F' a (x - x₀))‖ ≤ b a + ‖F' a‖
replace ha_bound : ‖F x a - F x₀ a‖ ≤ b a * ‖x - x₀‖ := ha_bound x hx
calc
‖‖x - x₀‖⁻¹ • (F x a - F x₀ a - F' a (x - x₀))‖ =
‖‖x - x₀‖⁻¹ • (F x a - F x₀ a) - ‖x - x₀‖⁻¹ • F' a (x - x₀)‖ := by rw [smul_sub]
_ ≤ ‖‖x - x₀‖⁻¹ • (F x a - F x₀ a)‖ + ‖‖x - x₀‖⁻¹ • F' a (x - x₀)‖ := norm_sub_le _ _
_ = ‖x - x₀‖⁻¹ * ‖F x a - F x₀ a‖ + ‖x - x₀‖⁻¹ * ‖F' a (x - x₀)‖ := by
rw [norm_smul_of_nonneg, norm_smul_of_nonneg] <;> exact nneg _
_ ≤ ‖x - x₀‖⁻¹ * (b a * ‖x - x₀‖) + ‖x - x₀‖⁻¹ * (‖F' a‖ * ‖x - x₀‖) := by
gcongr; exact (F' a).le_opNorm _
_ ≤ b a + ‖F' a‖ := ?_
simp only [← div_eq_inv_mul]
apply_rules [add_le_add, div_le_of_nonneg_of_le_mul] <;> first | rfl | positivity
· exact b_int.add hF'_int.norm
· apply h_diff.mono
intro a ha
suffices Tendsto (fun x ↦ ‖x - x₀‖⁻¹ • (F x a - F x₀ a - F' a (x - x₀))) (𝓝 x₀) (𝓝 0) by simpa
rw [tendsto_zero_iff_norm_tendsto_zero]
have : (fun x ↦ ‖x - x₀‖⁻¹ * ‖F x a - F x₀ a - F' a (x - x₀)‖) = fun x ↦
‖‖x - x₀‖⁻¹ • (F x a - F x₀ a - F' a (x - x₀))‖ := by
ext x
rw [norm_smul_of_nonneg (nneg _)]
rwa [hasFDerivAt_iff_tendsto, this] at ha
#align has_fderiv_at_integral_of_dominated_loc_of_lip' hasFDerivAt_integral_of_dominated_loc_of_lip'
theorem hasFDerivAt_integral_of_dominated_loc_of_lip {F' : α → H →L[𝕜] E}
(ε_pos : 0 < ε) (hF_meas : ∀ᶠ x in 𝓝 x₀, AEStronglyMeasurable (F x) μ)
(hF_int : Integrable (F x₀) μ) (hF'_meas : AEStronglyMeasurable F' μ)
(h_lip : ∀ᵐ a ∂μ, LipschitzOnWith (Real.nnabs <| bound a) (F · a) (ball x₀ ε))
(bound_integrable : Integrable (bound : α → ℝ) μ)
(h_diff : ∀ᵐ a ∂μ, HasFDerivAt (F · a) (F' a) x₀) :
Integrable F' μ ∧ HasFDerivAt (fun x ↦ ∫ a, F x a ∂μ) (∫ a, F' a ∂μ) x₀ := by
obtain ⟨δ, δ_pos, hδ⟩ : ∃ δ > 0, ∀ x ∈ ball x₀ δ, AEStronglyMeasurable (F x) μ ∧ x ∈ ball x₀ ε :=
eventually_nhds_iff_ball.mp (hF_meas.and (ball_mem_nhds x₀ ε_pos))
choose hδ_meas hδε using hδ
replace h_lip : ∀ᵐ a : α ∂μ, ∀ x ∈ ball x₀ δ, ‖F x a - F x₀ a‖ ≤ |bound a| * ‖x - x₀‖ :=
h_lip.mono fun a lip x hx ↦ lip.norm_sub_le (hδε x hx) (mem_ball_self ε_pos)
replace bound_integrable := bound_integrable.norm
apply hasFDerivAt_integral_of_dominated_loc_of_lip' δ_pos <;> assumption
#align has_fderiv_at_integral_of_dominated_loc_of_lip hasFDerivAt_integral_of_dominated_loc_of_lip
theorem hasFDerivAt_integral_of_dominated_loc_of_lip_interval [NormedSpace ℝ H] {μ : Measure ℝ}
{F : H → ℝ → E} {F' : ℝ → H →L[ℝ] E} {a b : ℝ} {bound : ℝ → ℝ} (ε_pos : 0 < ε)
(hF_meas : ∀ᶠ x in 𝓝 x₀, AEStronglyMeasurable (F x) <| μ.restrict (Ι a b))
(hF_int : IntervalIntegrable (F x₀) μ a b)
(hF'_meas : AEStronglyMeasurable F' <| μ.restrict (Ι a b))
(h_lip : ∀ᵐ t ∂μ.restrict (Ι a b),
LipschitzOnWith (Real.nnabs <| bound t) (F · t) (ball x₀ ε))
(bound_integrable : IntervalIntegrable bound μ a b)
(h_diff : ∀ᵐ t ∂μ.restrict (Ι a b), HasFDerivAt (F · t) (F' t) x₀) :
IntervalIntegrable F' μ a b ∧
HasFDerivAt (fun x ↦ ∫ t in a..b, F x t ∂μ) (∫ t in a..b, F' t ∂μ) x₀ := by
simp_rw [AEStronglyMeasurable.aestronglyMeasurable_uIoc_iff, eventually_and] at hF_meas hF'_meas
rw [ae_restrict_uIoc_iff] at h_lip h_diff
have H₁ :=
hasFDerivAt_integral_of_dominated_loc_of_lip ε_pos hF_meas.1 hF_int.1 hF'_meas.1 h_lip.1
bound_integrable.1 h_diff.1
have H₂ :=
hasFDerivAt_integral_of_dominated_loc_of_lip ε_pos hF_meas.2 hF_int.2 hF'_meas.2 h_lip.2
bound_integrable.2 h_diff.2
exact ⟨⟨H₁.1, H₂.1⟩, H₁.2.sub H₂.2⟩
theorem hasFDerivAt_integral_of_dominated_of_fderiv_le {F' : H → α → H →L[𝕜] E} (ε_pos : 0 < ε)
(hF_meas : ∀ᶠ x in 𝓝 x₀, AEStronglyMeasurable (F x) μ) (hF_int : Integrable (F x₀) μ)
(hF'_meas : AEStronglyMeasurable (F' x₀) μ)
(h_bound : ∀ᵐ a ∂μ, ∀ x ∈ ball x₀ ε, ‖F' x a‖ ≤ bound a)
(bound_integrable : Integrable (bound : α → ℝ) μ)
(h_diff : ∀ᵐ a ∂μ, ∀ x ∈ ball x₀ ε, HasFDerivAt (F · a) (F' x a) x) :
HasFDerivAt (fun x ↦ ∫ a, F x a ∂μ) (∫ a, F' x₀ a ∂μ) x₀ := by
letI : NormedSpace ℝ H := NormedSpace.restrictScalars ℝ 𝕜 H
have x₀_in : x₀ ∈ ball x₀ ε := mem_ball_self ε_pos
have diff_x₀ : ∀ᵐ a ∂μ, HasFDerivAt (F · a) (F' x₀ a) x₀ :=
h_diff.mono fun a ha ↦ ha x₀ x₀_in
have : ∀ᵐ a ∂μ, LipschitzOnWith (Real.nnabs (bound a)) (F · a) (ball x₀ ε) := by
apply (h_diff.and h_bound).mono
rintro a ⟨ha_deriv, ha_bound⟩
refine (convex_ball _ _).lipschitzOnWith_of_nnnorm_hasFDerivWithin_le
(fun x x_in ↦ (ha_deriv x x_in).hasFDerivWithinAt) fun x x_in ↦ ?_
rw [← NNReal.coe_le_coe, coe_nnnorm, Real.coe_nnabs]
exact (ha_bound x x_in).trans (le_abs_self _)
exact (hasFDerivAt_integral_of_dominated_loc_of_lip ε_pos hF_meas hF_int hF'_meas this
bound_integrable diff_x₀).2
#align has_fderiv_at_integral_of_dominated_of_fderiv_le hasFDerivAt_integral_of_dominated_of_fderiv_le
theorem hasFDerivAt_integral_of_dominated_of_fderiv_le'' [NormedSpace ℝ H] {μ : Measure ℝ}
{F : H → ℝ → E} {F' : H → ℝ → H →L[ℝ] E} {a b : ℝ} {bound : ℝ → ℝ} (ε_pos : 0 < ε)
(hF_meas : ∀ᶠ x in 𝓝 x₀, AEStronglyMeasurable (F x) <| μ.restrict (Ι a b))
(hF_int : IntervalIntegrable (F x₀) μ a b)
(hF'_meas : AEStronglyMeasurable (F' x₀) <| μ.restrict (Ι a b))
(h_bound : ∀ᵐ t ∂μ.restrict (Ι a b), ∀ x ∈ ball x₀ ε, ‖F' x t‖ ≤ bound t)
(bound_integrable : IntervalIntegrable bound μ a b)
(h_diff : ∀ᵐ t ∂μ.restrict (Ι a b), ∀ x ∈ ball x₀ ε, HasFDerivAt (F · t) (F' x t) x) :
HasFDerivAt (fun x ↦ ∫ t in a..b, F x t ∂μ) (∫ t in a..b, F' x₀ t ∂μ) x₀ := by
rw [ae_restrict_uIoc_iff] at h_diff h_bound
simp_rw [AEStronglyMeasurable.aestronglyMeasurable_uIoc_iff, eventually_and] at hF_meas hF'_meas
exact
(hasFDerivAt_integral_of_dominated_of_fderiv_le ε_pos hF_meas.1 hF_int.1 hF'_meas.1 h_bound.1
bound_integrable.1 h_diff.1).sub
(hasFDerivAt_integral_of_dominated_of_fderiv_le ε_pos hF_meas.2 hF_int.2 hF'_meas.2 h_bound.2
bound_integrable.2 h_diff.2)
section
variable {F : 𝕜 → α → E} {x₀ : 𝕜}
| Mathlib/Analysis/Calculus/ParametricIntegral.lean | 258 | 284 | theorem hasDerivAt_integral_of_dominated_loc_of_lip {F' : α → E} (ε_pos : 0 < ε)
(hF_meas : ∀ᶠ x in 𝓝 x₀, AEStronglyMeasurable (F x) μ) (hF_int : Integrable (F x₀) μ)
(hF'_meas : AEStronglyMeasurable F' μ)
(h_lipsch : ∀ᵐ a ∂μ, LipschitzOnWith (Real.nnabs <| bound a) (F · a) (ball x₀ ε))
(bound_integrable : Integrable (bound : α → ℝ) μ)
(h_diff : ∀ᵐ a ∂μ, HasDerivAt (F · a) (F' a) x₀) :
Integrable F' μ ∧ HasDerivAt (fun x ↦ ∫ a, F x a ∂μ) (∫ a, F' a ∂μ) x₀ := by |
set L : E →L[𝕜] 𝕜 →L[𝕜] E := ContinuousLinearMap.smulRightL 𝕜 𝕜 E 1
replace h_diff : ∀ᵐ a ∂μ, HasFDerivAt (F · a) (L (F' a)) x₀ :=
h_diff.mono fun x hx ↦ hx.hasFDerivAt
have hm : AEStronglyMeasurable (L ∘ F') μ := L.continuous.comp_aestronglyMeasurable hF'_meas
cases'
hasFDerivAt_integral_of_dominated_loc_of_lip ε_pos hF_meas hF_int hm h_lipsch bound_integrable
h_diff with
hF'_int key
replace hF'_int : Integrable F' μ := by
rw [← integrable_norm_iff hm] at hF'_int
simpa only [L, (· ∘ ·), integrable_norm_iff, hF'_meas, one_mul, norm_one,
ContinuousLinearMap.comp_apply, ContinuousLinearMap.coe_restrict_scalarsL',
ContinuousLinearMap.norm_restrictScalars, ContinuousLinearMap.norm_smulRightL_apply] using
hF'_int
refine ⟨hF'_int, ?_⟩
by_cases hE : CompleteSpace E; swap
· simp [integral, hE]
exact hasDerivAt_const x₀ 0
simp_rw [hasDerivAt_iff_hasFDerivAt] at h_diff ⊢
simpa only [(· ∘ ·), ContinuousLinearMap.integral_comp_comm _ hF'_int] using key
|
import Mathlib.Analysis.SpecialFunctions.Gaussian.GaussianIntegral
import Mathlib.Analysis.Complex.CauchyIntegral
import Mathlib.MeasureTheory.Integral.Pi
import Mathlib.Analysis.Fourier.FourierTransform
open Real Set MeasureTheory Filter Asymptotics intervalIntegral
open scoped Real Topology FourierTransform RealInnerProductSpace
open Complex hiding exp continuous_exp abs_of_nonneg sq_abs
noncomputable section
namespace GaussianFourier
variable {b : ℂ}
def verticalIntegral (b : ℂ) (c T : ℝ) : ℂ :=
∫ y : ℝ in (0 : ℝ)..c, I * (cexp (-b * (T + y * I) ^ 2) - cexp (-b * (T - y * I) ^ 2))
#align gaussian_fourier.vertical_integral GaussianFourier.verticalIntegral
theorem norm_cexp_neg_mul_sq_add_mul_I (b : ℂ) (c T : ℝ) :
‖cexp (-b * (T + c * I) ^ 2)‖ = exp (-(b.re * T ^ 2 - 2 * b.im * c * T - b.re * c ^ 2)) := by
rw [Complex.norm_eq_abs, Complex.abs_exp, neg_mul, neg_re, ← re_add_im b]
simp only [sq, re_add_im, mul_re, mul_im, add_re, add_im, ofReal_re, ofReal_im, I_re, I_im]
ring_nf
set_option linter.uppercaseLean3 false in
#align gaussian_fourier.norm_cexp_neg_mul_sq_add_mul_I GaussianFourier.norm_cexp_neg_mul_sq_add_mul_I
theorem norm_cexp_neg_mul_sq_add_mul_I' (hb : b.re ≠ 0) (c T : ℝ) :
‖cexp (-b * (T + c * I) ^ 2)‖ =
exp (-(b.re * (T - b.im * c / b.re) ^ 2 - c ^ 2 * (b.im ^ 2 / b.re + b.re))) := by
have :
b.re * T ^ 2 - 2 * b.im * c * T - b.re * c ^ 2 =
b.re * (T - b.im * c / b.re) ^ 2 - c ^ 2 * (b.im ^ 2 / b.re + b.re) := by
field_simp; ring
rw [norm_cexp_neg_mul_sq_add_mul_I, this]
set_option linter.uppercaseLean3 false in
#align gaussian_fourier.norm_cexp_neg_mul_sq_add_mul_I' GaussianFourier.norm_cexp_neg_mul_sq_add_mul_I'
theorem verticalIntegral_norm_le (hb : 0 < b.re) (c : ℝ) {T : ℝ} (hT : 0 ≤ T) :
‖verticalIntegral b c T‖ ≤
(2 : ℝ) * |c| * exp (-(b.re * T ^ 2 - (2 : ℝ) * |b.im| * |c| * T - b.re * c ^ 2)) := by
-- first get uniform bound for integrand
have vert_norm_bound :
∀ {T : ℝ},
0 ≤ T →
∀ {c y : ℝ},
|y| ≤ |c| →
‖cexp (-b * (T + y * I) ^ 2)‖ ≤
exp (-(b.re * T ^ 2 - (2 : ℝ) * |b.im| * |c| * T - b.re * c ^ 2)) := by
intro T hT c y hy
rw [norm_cexp_neg_mul_sq_add_mul_I b]
gcongr exp (- (_ - ?_ * _ - _ * ?_))
· (conv_lhs => rw [mul_assoc]); (conv_rhs => rw [mul_assoc])
gcongr _ * ?_
refine (le_abs_self _).trans ?_
rw [abs_mul]
gcongr
· rwa [sq_le_sq]
-- now main proof
apply (intervalIntegral.norm_integral_le_of_norm_le_const _).trans
pick_goal 1
· rw [sub_zero]
conv_lhs => simp only [mul_comm _ |c|]
conv_rhs =>
conv =>
congr
rw [mul_comm]
rw [mul_assoc]
· intro y hy
have absy : |y| ≤ |c| := by
rcases le_or_lt 0 c with (h | h)
· rw [uIoc_of_le h] at hy
rw [abs_of_nonneg h, abs_of_pos hy.1]
exact hy.2
· rw [uIoc_of_lt h] at hy
rw [abs_of_neg h, abs_of_nonpos hy.2, neg_le_neg_iff]
exact hy.1.le
rw [norm_mul, Complex.norm_eq_abs, abs_I, one_mul, two_mul]
refine (norm_sub_le _ _).trans (add_le_add (vert_norm_bound hT absy) ?_)
rw [← abs_neg y] at absy
simpa only [neg_mul, ofReal_neg] using vert_norm_bound hT absy
#align gaussian_fourier.vertical_integral_norm_le GaussianFourier.verticalIntegral_norm_le
theorem tendsto_verticalIntegral (hb : 0 < b.re) (c : ℝ) :
Tendsto (verticalIntegral b c) atTop (𝓝 0) := by
-- complete proof using squeeze theorem:
rw [tendsto_zero_iff_norm_tendsto_zero]
refine
tendsto_of_tendsto_of_tendsto_of_le_of_le' tendsto_const_nhds ?_
(eventually_of_forall fun _ => norm_nonneg _)
((eventually_ge_atTop (0 : ℝ)).mp
(eventually_of_forall fun T hT => verticalIntegral_norm_le hb c hT))
rw [(by ring : 0 = 2 * |c| * 0)]
refine (tendsto_exp_atBot.comp (tendsto_neg_atTop_atBot.comp ?_)).const_mul _
apply tendsto_atTop_add_const_right
simp_rw [sq, ← mul_assoc, ← sub_mul]
refine Tendsto.atTop_mul_atTop (tendsto_atTop_add_const_right _ _ ?_) tendsto_id
exact (tendsto_const_mul_atTop_of_pos hb).mpr tendsto_id
#align gaussian_fourier.tendsto_vertical_integral GaussianFourier.tendsto_verticalIntegral
theorem integrable_cexp_neg_mul_sq_add_real_mul_I (hb : 0 < b.re) (c : ℝ) :
Integrable fun x : ℝ => cexp (-b * (x + c * I) ^ 2) := by
refine
⟨(Complex.continuous_exp.comp
(continuous_const.mul
((continuous_ofReal.add continuous_const).pow 2))).aestronglyMeasurable,
?_⟩
rw [← hasFiniteIntegral_norm_iff]
simp_rw [norm_cexp_neg_mul_sq_add_mul_I' hb.ne', neg_sub _ (c ^ 2 * _),
sub_eq_add_neg _ (b.re * _), Real.exp_add]
suffices Integrable fun x : ℝ => exp (-(b.re * x ^ 2)) by
exact (Integrable.comp_sub_right this (b.im * c / b.re)).hasFiniteIntegral.const_mul _
simp_rw [← neg_mul]
apply integrable_exp_neg_mul_sq hb
set_option linter.uppercaseLean3 false in
#align gaussian_fourier.integrable_cexp_neg_mul_sq_add_real_mul_I GaussianFourier.integrable_cexp_neg_mul_sq_add_real_mul_I
theorem integral_cexp_neg_mul_sq_add_real_mul_I (hb : 0 < b.re) (c : ℝ) :
∫ x : ℝ, cexp (-b * (x + c * I) ^ 2) = (π / b) ^ (1 / 2 : ℂ) := by
refine
tendsto_nhds_unique
(intervalIntegral_tendsto_integral (integrable_cexp_neg_mul_sq_add_real_mul_I hb c)
tendsto_neg_atTop_atBot tendsto_id)
?_
set I₁ := fun T => ∫ x : ℝ in -T..T, cexp (-b * (x + c * I) ^ 2) with HI₁
let I₂ := fun T : ℝ => ∫ x : ℝ in -T..T, cexp (-b * (x : ℂ) ^ 2)
let I₄ := fun T : ℝ => ∫ y : ℝ in (0 : ℝ)..c, cexp (-b * (T + y * I) ^ 2)
let I₅ := fun T : ℝ => ∫ y : ℝ in (0 : ℝ)..c, cexp (-b * (-T + y * I) ^ 2)
have C : ∀ T : ℝ, I₂ T - I₁ T + I * I₄ T - I * I₅ T = 0 := by
intro T
have :=
integral_boundary_rect_eq_zero_of_differentiableOn (fun z => cexp (-b * z ^ 2)) (-T)
(T + c * I)
(by
refine Differentiable.differentiableOn (Differentiable.const_mul ?_ _).cexp
exact differentiable_pow 2)
simpa only [neg_im, ofReal_im, neg_zero, ofReal_zero, zero_mul, add_zero, neg_re,
ofReal_re, add_re, mul_re, I_re, mul_zero, I_im, tsub_zero, add_im, mul_im,
mul_one, zero_add, Algebra.id.smul_eq_mul, ofReal_neg] using this
simp_rw [id, ← HI₁]
have : I₁ = fun T : ℝ => I₂ T + verticalIntegral b c T := by
ext1 T
specialize C T
rw [sub_eq_zero] at C
unfold verticalIntegral
rw [integral_const_mul, intervalIntegral.integral_sub]
· simp_rw [(fun a b => by rw [sq]; ring_nf : ∀ a b : ℂ, (a - b * I) ^ 2 = (-a + b * I) ^ 2)]
change I₁ T = I₂ T + I * (I₄ T - I₅ T)
rw [mul_sub, ← C]
abel
all_goals apply Continuous.intervalIntegrable; continuity
rw [this, ← add_zero ((π / b : ℂ) ^ (1 / 2 : ℂ)), ← integral_gaussian_complex hb]
refine Tendsto.add ?_ (tendsto_verticalIntegral hb c)
exact
intervalIntegral_tendsto_integral (integrable_cexp_neg_mul_sq hb) tendsto_neg_atTop_atBot
tendsto_id
set_option linter.uppercaseLean3 false in
#align gaussian_fourier.integral_cexp_neg_mul_sq_add_real_mul_I GaussianFourier.integral_cexp_neg_mul_sq_add_real_mul_I
theorem _root_.integral_cexp_quadratic (hb : b.re < 0) (c d : ℂ) :
∫ x : ℝ, cexp (b * x ^ 2 + c * x + d) = (π / -b) ^ (1 / 2 : ℂ) * cexp (d - c^2 / (4 * b)) := by
have hb' : b ≠ 0 := by contrapose! hb; rw [hb, zero_re]
have h (x : ℝ) : cexp (b * x ^ 2 + c * x + d) =
cexp (- -b * (x + c / (2 * b)) ^ 2) * cexp (d - c ^ 2 / (4 * b)) := by
simp_rw [← Complex.exp_add]
congr 1
field_simp
ring_nf
simp_rw [h, integral_mul_right]
rw [← re_add_im (c / (2 * b))]
simp_rw [← add_assoc, ← ofReal_add]
rw [integral_add_right_eq_self fun a : ℝ ↦ cexp (- -b * (↑a + ↑(c / (2 * b)).im * I) ^ 2),
integral_cexp_neg_mul_sq_add_real_mul_I ((neg_re b).symm ▸ (neg_pos.mpr hb))]
lemma _root_.integrable_cexp_quadratic' (hb : b.re < 0) (c d : ℂ) :
Integrable (fun (x : ℝ) ↦ cexp (b * x ^ 2 + c * x + d)) := by
have hb' : b ≠ 0 := by contrapose! hb; rw [hb, zero_re]
by_contra H
simpa [hb', pi_ne_zero, Complex.exp_ne_zero, integral_undef H]
using integral_cexp_quadratic hb c d
lemma _root_.integrable_cexp_quadratic (hb : 0 < b.re) (c d : ℂ) :
Integrable (fun (x : ℝ) ↦ cexp (-b * x ^ 2 + c * x + d)) := by
have : (-b).re < 0 := by simpa using hb
exact integrable_cexp_quadratic' this c d
theorem _root_.fourierIntegral_gaussian (hb : 0 < b.re) (t : ℂ) :
∫ x : ℝ, cexp (I * t * x) * cexp (-b * x ^ 2) =
(π / b) ^ (1 / 2 : ℂ) * cexp (-t ^ 2 / (4 * b)) := by
conv => enter [1, 2, x]; rw [← Complex.exp_add, add_comm, ← add_zero (-b * x ^ 2 + I * t * x)]
rw [integral_cexp_quadratic (show (-b).re < 0 by rwa [neg_re, neg_lt_zero]), neg_neg, zero_sub,
mul_neg, div_neg, neg_neg, mul_pow, I_sq, neg_one_mul, mul_comm]
#align fourier_transform_gaussian fourierIntegral_gaussian
@[deprecated (since := "2024-02-21")]
alias _root_.fourier_transform_gaussian := fourierIntegral_gaussian
theorem _root_.fourierIntegral_gaussian_pi' (hb : 0 < b.re) (c : ℂ) :
(𝓕 fun x : ℝ => cexp (-π * b * x ^ 2 + 2 * π * c * x)) = fun t : ℝ =>
1 / b ^ (1 / 2 : ℂ) * cexp (-π / b * (t + I * c) ^ 2) := by
haveI : b ≠ 0 := by contrapose! hb; rw [hb, zero_re]
have h : (-↑π * b).re < 0 := by
simpa only [neg_mul, neg_re, re_ofReal_mul, neg_lt_zero] using mul_pos pi_pos hb
ext1 t
simp_rw [fourierIntegral_real_eq_integral_exp_smul, smul_eq_mul, ← Complex.exp_add, ← add_assoc]
have (x : ℝ) : ↑(-2 * π * x * t) * I + -π * b * x ^ 2 + 2 * π * c * x =
-π * b * x ^ 2 + (-2 * π * I * t + 2 * π * c) * x + 0 := by push_cast; ring
simp_rw [this, integral_cexp_quadratic h, neg_mul, neg_neg]
congr 2
· rw [← div_div, div_self <| ofReal_ne_zero.mpr pi_ne_zero, one_div, inv_cpow, ← one_div]
rw [Ne, arg_eq_pi_iff, not_and_or, not_lt]
exact Or.inl hb.le
· field_simp [ofReal_ne_zero.mpr pi_ne_zero]
ring_nf
simp only [I_sq]
ring
@[deprecated (since := "2024-02-21")]
alias _root_.fourier_transform_gaussian_pi' := _root_.fourierIntegral_gaussian_pi'
theorem _root_.fourierIntegral_gaussian_pi (hb : 0 < b.re) :
(𝓕 fun (x : ℝ) ↦ cexp (-π * b * x ^ 2)) =
fun t : ℝ ↦ 1 / b ^ (1 / 2 : ℂ) * cexp (-π / b * t ^ 2) := by
simpa only [mul_zero, zero_mul, add_zero] using fourierIntegral_gaussian_pi' hb 0
#align fourier_transform_gaussian_pi fourierIntegral_gaussian_pi
@[deprecated (since := "2024-02-21")]
alias root_.fourier_transform_gaussian_pi := _root_.fourierIntegral_gaussian_pi
section InnerProductSpace
variable {V : Type*} [NormedAddCommGroup V] [InnerProductSpace ℝ V] [FiniteDimensional ℝ V]
[MeasurableSpace V] [BorelSpace V]
theorem integrable_cexp_neg_sum_mul_add {ι : Type*} [Fintype ι] {b : ι → ℂ}
(hb : ∀ i, 0 < (b i).re) (c : ι → ℂ) :
Integrable (fun (v : ι → ℝ) ↦ cexp (- ∑ i, b i * (v i : ℂ) ^ 2 + ∑ i, c i * v i)) := by
simp_rw [← Finset.sum_neg_distrib, ← Finset.sum_add_distrib, Complex.exp_sum, ← neg_mul]
apply Integrable.fintype_prod (f := fun i (v : ℝ) ↦ cexp (-b i * v^2 + c i * v)) (fun i ↦ ?_)
convert integrable_cexp_quadratic (hb i) (c i) 0 using 3 with x
simp only [add_zero]
theorem integrable_cexp_neg_mul_sum_add {ι : Type*} [Fintype ι] (hb : 0 < b.re) (c : ι → ℂ) :
Integrable (fun (v : ι → ℝ) ↦ cexp (- b * ∑ i, (v i : ℂ) ^ 2 + ∑ i, c i * v i)) := by
simp_rw [neg_mul, Finset.mul_sum]
exact integrable_cexp_neg_sum_mul_add (fun _ ↦ hb) c
theorem integrable_cexp_neg_mul_sq_norm_add_of_euclideanSpace
{ι : Type*} [Fintype ι] (hb : 0 < b.re) (c : ℂ) (w : EuclideanSpace ℝ ι) :
Integrable (fun (v : EuclideanSpace ℝ ι) ↦ cexp (- b * ‖v‖^2 + c * ⟪w, v⟫)) := by
have := EuclideanSpace.volume_preserving_measurableEquiv ι
rw [← MeasurePreserving.integrable_comp_emb this.symm (MeasurableEquiv.measurableEmbedding _)]
simp only [neg_mul, Function.comp_def]
convert integrable_cexp_neg_mul_sum_add hb (fun i ↦ c * w i) using 3 with v
simp only [EuclideanSpace.measurableEquiv, MeasurableEquiv.symm_mk, MeasurableEquiv.coe_mk,
EuclideanSpace.norm_eq, WithLp.equiv_symm_pi_apply, Real.norm_eq_abs, sq_abs, PiLp.inner_apply,
RCLike.inner_apply, conj_trivial, ofReal_sum, ofReal_mul, Finset.mul_sum, neg_mul,
Finset.sum_neg_distrib, mul_assoc, add_left_inj, neg_inj]
norm_cast
rw [sq_sqrt]
· simp [Finset.mul_sum]
· exact Finset.sum_nonneg (fun i _hi ↦ by positivity)
theorem integrable_cexp_neg_mul_sq_norm_add (hb : 0 < b.re) (c : ℂ) (w : V) :
Integrable (fun (v : V) ↦ cexp (-b * ‖v‖^2 + c * ⟪w, v⟫)) := by
let e := (stdOrthonormalBasis ℝ V).repr.symm
rw [← e.measurePreserving.integrable_comp_emb e.toHomeomorph.measurableEmbedding]
convert integrable_cexp_neg_mul_sq_norm_add_of_euclideanSpace
hb c (e.symm w) with v
simp only [neg_mul, Function.comp_apply, LinearIsometryEquiv.norm_map,
LinearIsometryEquiv.symm_symm, conj_trivial, ofReal_sum,
ofReal_mul, LinearIsometryEquiv.inner_map_eq_flip]
| Mathlib/Analysis/SpecialFunctions/Gaussian/FourierTransform.lean | 307 | 315 | theorem integral_cexp_neg_sum_mul_add {ι : Type*} [Fintype ι] {b : ι → ℂ}
(hb : ∀ i, 0 < (b i).re) (c : ι → ℂ) :
∫ v : ι → ℝ, cexp (- ∑ i, b i * (v i : ℂ) ^ 2 + ∑ i, c i * v i)
= ∏ i, (π / b i) ^ (1 / 2 : ℂ) * cexp (c i ^ 2 / (4 * b i)) := by |
simp_rw [← Finset.sum_neg_distrib, ← Finset.sum_add_distrib, Complex.exp_sum, ← neg_mul]
rw [integral_fintype_prod_eq_prod (f := fun i (v : ℝ) ↦ cexp (-b i * v ^ 2 + c i * v))]
congr with i
have : (-b i).re < 0 := by simpa using hb i
convert integral_cexp_quadratic this (c i) 0 using 1 <;> simp [div_neg]
|
import Mathlib.Analysis.SpecialFunctions.Complex.Arg
import Mathlib.Analysis.SpecialFunctions.Log.Basic
#align_import analysis.special_functions.complex.log from "leanprover-community/mathlib"@"f2ce6086713c78a7f880485f7917ea547a215982"
noncomputable section
namespace Complex
open Set Filter Bornology
open scoped Real Topology ComplexConjugate
-- Porting note: @[pp_nodot] does not exist in mathlib4
noncomputable def log (x : ℂ) : ℂ :=
x.abs.log + arg x * I
#align complex.log Complex.log
theorem log_re (x : ℂ) : x.log.re = x.abs.log := by simp [log]
#align complex.log_re Complex.log_re
theorem log_im (x : ℂ) : x.log.im = x.arg := by simp [log]
#align complex.log_im Complex.log_im
theorem neg_pi_lt_log_im (x : ℂ) : -π < (log x).im := by simp only [log_im, neg_pi_lt_arg]
#align complex.neg_pi_lt_log_im Complex.neg_pi_lt_log_im
theorem log_im_le_pi (x : ℂ) : (log x).im ≤ π := by simp only [log_im, arg_le_pi]
#align complex.log_im_le_pi Complex.log_im_le_pi
theorem exp_log {x : ℂ} (hx : x ≠ 0) : exp (log x) = x := by
rw [log, exp_add_mul_I, ← ofReal_sin, sin_arg, ← ofReal_cos, cos_arg hx, ← ofReal_exp,
Real.exp_log (abs.pos hx), mul_add, ofReal_div, ofReal_div,
mul_div_cancel₀ _ (ofReal_ne_zero.2 <| abs.ne_zero hx), ← mul_assoc,
mul_div_cancel₀ _ (ofReal_ne_zero.2 <| abs.ne_zero hx), re_add_im]
#align complex.exp_log Complex.exp_log
@[simp]
theorem range_exp : Set.range exp = {0}ᶜ :=
Set.ext fun x =>
⟨by
rintro ⟨x, rfl⟩
exact exp_ne_zero x, fun hx => ⟨log x, exp_log hx⟩⟩
#align complex.range_exp Complex.range_exp
theorem log_exp {x : ℂ} (hx₁ : -π < x.im) (hx₂ : x.im ≤ π) : log (exp x) = x := by
rw [log, abs_exp, Real.log_exp, exp_eq_exp_re_mul_sin_add_cos, ← ofReal_exp,
arg_mul_cos_add_sin_mul_I (Real.exp_pos _) ⟨hx₁, hx₂⟩, re_add_im]
#align complex.log_exp Complex.log_exp
theorem exp_inj_of_neg_pi_lt_of_le_pi {x y : ℂ} (hx₁ : -π < x.im) (hx₂ : x.im ≤ π) (hy₁ : -π < y.im)
(hy₂ : y.im ≤ π) (hxy : exp x = exp y) : x = y := by
rw [← log_exp hx₁ hx₂, ← log_exp hy₁ hy₂, hxy]
#align complex.exp_inj_of_neg_pi_lt_of_le_pi Complex.exp_inj_of_neg_pi_lt_of_le_pi
theorem ofReal_log {x : ℝ} (hx : 0 ≤ x) : (x.log : ℂ) = log x :=
Complex.ext (by rw [log_re, ofReal_re, abs_of_nonneg hx])
(by rw [ofReal_im, log_im, arg_ofReal_of_nonneg hx])
#align complex.of_real_log Complex.ofReal_log
@[simp, norm_cast]
lemma natCast_log {n : ℕ} : Real.log n = log n := ofReal_natCast n ▸ ofReal_log n.cast_nonneg
@[simp]
lemma ofNat_log {n : ℕ} [n.AtLeastTwo] :
Real.log (no_index (OfNat.ofNat n)) = log (OfNat.ofNat n) :=
natCast_log
theorem log_ofReal_re (x : ℝ) : (log (x : ℂ)).re = Real.log x := by simp [log_re]
#align complex.log_of_real_re Complex.log_ofReal_re
theorem log_ofReal_mul {r : ℝ} (hr : 0 < r) {x : ℂ} (hx : x ≠ 0) :
log (r * x) = Real.log r + log x := by
replace hx := Complex.abs.ne_zero_iff.mpr hx
simp_rw [log, map_mul, abs_ofReal, arg_real_mul _ hr, abs_of_pos hr, Real.log_mul hr.ne' hx,
ofReal_add, add_assoc]
#align complex.log_of_real_mul Complex.log_ofReal_mul
theorem log_mul_ofReal (r : ℝ) (hr : 0 < r) (x : ℂ) (hx : x ≠ 0) :
log (x * r) = Real.log r + log x := by rw [mul_comm, log_ofReal_mul hr hx]
#align complex.log_mul_of_real Complex.log_mul_ofReal
lemma log_mul_eq_add_log_iff {x y : ℂ} (hx₀ : x ≠ 0) (hy₀ : y ≠ 0) :
log (x * y) = log x + log y ↔ arg x + arg y ∈ Set.Ioc (-π) π := by
refine ext_iff.trans <| Iff.trans ?_ <| arg_mul_eq_add_arg_iff hx₀ hy₀
simp_rw [add_re, add_im, log_re, log_im, AbsoluteValue.map_mul,
Real.log_mul (abs.ne_zero hx₀) (abs.ne_zero hy₀), true_and]
alias ⟨_, log_mul⟩ := log_mul_eq_add_log_iff
@[simp]
theorem log_zero : log 0 = 0 := by simp [log]
#align complex.log_zero Complex.log_zero
@[simp]
theorem log_one : log 1 = 0 := by simp [log]
#align complex.log_one Complex.log_one
theorem log_neg_one : log (-1) = π * I := by simp [log]
#align complex.log_neg_one Complex.log_neg_one
theorem log_I : log I = π / 2 * I := by simp [log]
set_option linter.uppercaseLean3 false in
#align complex.log_I Complex.log_I
theorem log_neg_I : log (-I) = -(π / 2) * I := by simp [log]
set_option linter.uppercaseLean3 false in
#align complex.log_neg_I Complex.log_neg_I
theorem log_conj_eq_ite (x : ℂ) : log (conj x) = if x.arg = π then log x else conj (log x) := by
simp_rw [log, abs_conj, arg_conj, map_add, map_mul, conj_ofReal]
split_ifs with hx
· rw [hx]
simp_rw [ofReal_neg, conj_I, mul_neg, neg_mul]
#align complex.log_conj_eq_ite Complex.log_conj_eq_ite
| Mathlib/Analysis/SpecialFunctions/Complex/Log.lean | 131 | 132 | theorem log_conj (x : ℂ) (h : x.arg ≠ π) : log (conj x) = conj (log x) := by |
rw [log_conj_eq_ite, if_neg h]
|
import Mathlib.Algebra.Category.ModuleCat.Monoidal.Basic
import Mathlib.CategoryTheory.Monoidal.Functorial
import Mathlib.CategoryTheory.Monoidal.Types.Basic
import Mathlib.LinearAlgebra.DirectSum.Finsupp
import Mathlib.CategoryTheory.Linear.LinearFunctor
#align_import algebra.category.Module.adjunctions from "leanprover-community/mathlib"@"95a87616d63b3cb49d3fe678d416fbe9c4217bf4"
set_option linter.uppercaseLean3 false -- `Module`
noncomputable section
open CategoryTheory
namespace ModuleCat
universe u
open scoped Classical
variable (R : Type u)
section
variable [Ring R]
@[simps]
def free : Type u ⥤ ModuleCat R where
obj X := ModuleCat.of R (X →₀ R)
map {X Y} f := Finsupp.lmapDomain _ _ f
map_id := by intros; exact Finsupp.lmapDomain_id _ _
map_comp := by intros; exact Finsupp.lmapDomain_comp _ _ _ _
#align Module.free ModuleCat.free
def adj : free R ⊣ forget (ModuleCat.{u} R) :=
Adjunction.mkOfHomEquiv
{ homEquiv := fun X M => (Finsupp.lift M R X).toEquiv.symm
homEquiv_naturality_left_symm := fun {_ _} M f g =>
Finsupp.lhom_ext' fun x =>
LinearMap.ext_ring
(Finsupp.sum_mapDomain_index_addMonoidHom fun y => (smulAddHom R M).flip (g y)).symm }
#align Module.adj ModuleCat.adj
instance : (forget (ModuleCat.{u} R)).IsRightAdjoint :=
(adj R).isRightAdjoint
end
namespace Free
open MonoidalCategory
variable [CommRing R]
attribute [local ext] TensorProduct.ext
def ε : 𝟙_ (ModuleCat.{u} R) ⟶ (free R).obj (𝟙_ (Type u)) :=
Finsupp.lsingle PUnit.unit
#align Module.free.ε ModuleCat.Free.ε
-- This lemma has always been bad, but lean4#2644 made `simp` start noticing
@[simp, nolint simpNF]
theorem ε_apply (r : R) : ε R r = Finsupp.single PUnit.unit r :=
rfl
#align Module.free.ε_apply ModuleCat.Free.ε_apply
def μ (α β : Type u) : (free R).obj α ⊗ (free R).obj β ≅ (free R).obj (α ⊗ β) :=
(finsuppTensorFinsupp' R α β).toModuleIso
#align Module.free.μ ModuleCat.Free.μ
theorem μ_natural {X Y X' Y' : Type u} (f : X ⟶ Y) (g : X' ⟶ Y') :
((free R).map f ⊗ (free R).map g) ≫ (μ R Y Y').hom = (μ R X X').hom ≫ (free R).map (f ⊗ g) := by
-- Porting note (#11041): broken ext
apply TensorProduct.ext
apply Finsupp.lhom_ext'
intro x
apply LinearMap.ext_ring
apply Finsupp.lhom_ext'
intro x'
apply LinearMap.ext_ring
apply Finsupp.ext
intro ⟨y, y'⟩
-- Porting note (#10934): used to be dsimp [μ]
change (finsuppTensorFinsupp' R Y Y')
(Finsupp.mapDomain f (Finsupp.single x 1) ⊗ₜ[R] Finsupp.mapDomain g (Finsupp.single x' 1)) _
= (Finsupp.mapDomain (f ⊗ g) (finsuppTensorFinsupp' R X X'
(Finsupp.single x 1 ⊗ₜ[R] Finsupp.single x' 1))) _
-- extra `rfl` after leanprover/lean4#2466
simp_rw [Finsupp.mapDomain_single, finsuppTensorFinsupp'_single_tmul_single, mul_one,
Finsupp.mapDomain_single, CategoryTheory.tensor_apply]; rfl
#align Module.free.μ_natural ModuleCat.Free.μ_natural
| Mathlib/Algebra/Category/ModuleCat/Adjunctions.lean | 112 | 129 | theorem left_unitality (X : Type u) :
(λ_ ((free R).obj X)).hom =
(ε R ⊗ 𝟙 ((free R).obj X)) ≫ (μ R (𝟙_ (Type u)) X).hom ≫ map (free R).obj (λ_ X).hom := by |
-- Porting note (#11041): broken ext
apply TensorProduct.ext
apply LinearMap.ext_ring
apply Finsupp.lhom_ext'
intro x
apply LinearMap.ext_ring
apply Finsupp.ext
intro x'
-- Porting note (#10934): used to be dsimp [ε, μ]
let q : X →₀ R := ((λ_ (of R (X →₀ R))).hom) (1 ⊗ₜ[R] Finsupp.single x 1)
change q x' = Finsupp.mapDomain (λ_ X).hom (finsuppTensorFinsupp' R (𝟙_ (Type u)) X
(Finsupp.single PUnit.unit 1 ⊗ₜ[R] Finsupp.single x 1)) x'
simp_rw [q, finsuppTensorFinsupp'_single_tmul_single,
ModuleCat.MonoidalCategory.leftUnitor_hom_apply, mul_one,
Finsupp.mapDomain_single, CategoryTheory.leftUnitor_hom_apply, one_smul]
|
import Mathlib.Algebra.MvPolynomial.Basic
#align_import data.mv_polynomial.rename from "leanprover-community/mathlib"@"2f5b500a507264de86d666a5f87ddb976e2d8de4"
noncomputable section
open Set Function Finsupp AddMonoidAlgebra
variable {σ τ α R S : Type*} [CommSemiring R] [CommSemiring S]
namespace MvPolynomial
section Rename
def rename (f : σ → τ) : MvPolynomial σ R →ₐ[R] MvPolynomial τ R :=
aeval (X ∘ f)
#align mv_polynomial.rename MvPolynomial.rename
theorem rename_C (f : σ → τ) (r : R) : rename f (C r) = C r :=
eval₂_C _ _ _
set_option linter.uppercaseLean3 false in
#align mv_polynomial.rename_C MvPolynomial.rename_C
@[simp]
theorem rename_X (f : σ → τ) (i : σ) : rename f (X i : MvPolynomial σ R) = X (f i) :=
eval₂_X _ _ _
set_option linter.uppercaseLean3 false in
#align mv_polynomial.rename_X MvPolynomial.rename_X
theorem map_rename (f : R →+* S) (g : σ → τ) (p : MvPolynomial σ R) :
map f (rename g p) = rename g (map f p) := by
apply MvPolynomial.induction_on p
(fun a => by simp only [map_C, rename_C])
(fun p q hp hq => by simp only [hp, hq, AlgHom.map_add, RingHom.map_add]) fun p n hp => by
simp only [hp, rename_X, map_X, RingHom.map_mul, AlgHom.map_mul]
#align mv_polynomial.map_rename MvPolynomial.map_rename
@[simp]
theorem rename_rename (f : σ → τ) (g : τ → α) (p : MvPolynomial σ R) :
rename g (rename f p) = rename (g ∘ f) p :=
show rename g (eval₂ C (X ∘ f) p) = _ by
simp only [rename, aeval_eq_eval₂Hom]
-- Porting note: the Lean 3 proof of this was very fragile and included a nonterminal `simp`.
-- Hopefully this is less prone to breaking
rw [eval₂_comp_left (eval₂Hom (algebraMap R (MvPolynomial α R)) (X ∘ g)) C (X ∘ f) p]
simp only [(· ∘ ·), eval₂Hom_X']
refine eval₂Hom_congr ?_ rfl rfl
ext1; simp only [comp_apply, RingHom.coe_comp, eval₂Hom_C]
#align mv_polynomial.rename_rename MvPolynomial.rename_rename
@[simp]
theorem rename_id (p : MvPolynomial σ R) : rename id p = p :=
eval₂_eta p
#align mv_polynomial.rename_id MvPolynomial.rename_id
theorem rename_monomial (f : σ → τ) (d : σ →₀ ℕ) (r : R) :
rename f (monomial d r) = monomial (d.mapDomain f) r := by
rw [rename, aeval_monomial, monomial_eq (s := Finsupp.mapDomain f d),
Finsupp.prod_mapDomain_index]
· rfl
· exact fun n => pow_zero _
· exact fun n i₁ i₂ => pow_add _ _ _
#align mv_polynomial.rename_monomial MvPolynomial.rename_monomial
theorem rename_eq (f : σ → τ) (p : MvPolynomial σ R) :
rename f p = Finsupp.mapDomain (Finsupp.mapDomain f) p := by
simp only [rename, aeval_def, eval₂, Finsupp.mapDomain, algebraMap_eq, comp_apply,
X_pow_eq_monomial, ← monomial_finsupp_sum_index]
rfl
#align mv_polynomial.rename_eq MvPolynomial.rename_eq
theorem rename_injective (f : σ → τ) (hf : Function.Injective f) :
Function.Injective (rename f : MvPolynomial σ R → MvPolynomial τ R) := by
have :
(rename f : MvPolynomial σ R → MvPolynomial τ R) = Finsupp.mapDomain (Finsupp.mapDomain f) :=
funext (rename_eq f)
rw [this]
exact Finsupp.mapDomain_injective (Finsupp.mapDomain_injective hf)
#align mv_polynomial.rename_injective MvPolynomial.rename_injective
section
variable {f : σ → τ} (hf : Function.Injective f)
open scoped Classical
def killCompl : MvPolynomial τ R →ₐ[R] MvPolynomial σ R :=
aeval fun i => if h : i ∈ Set.range f then X <| (Equiv.ofInjective f hf).symm ⟨i, h⟩ else 0
#align mv_polynomial.kill_compl MvPolynomial.killCompl
theorem killCompl_C (r : R) : killCompl hf (C r) = C r := algHom_C _ _
theorem killCompl_comp_rename : (killCompl hf).comp (rename f) = AlgHom.id R _ :=
algHom_ext fun i => by
dsimp
rw [rename, killCompl, aeval_X, comp_apply, aeval_X, dif_pos, Equiv.ofInjective_symm_apply]
#align mv_polynomial.kill_compl_comp_rename MvPolynomial.killCompl_comp_rename
@[simp]
theorem killCompl_rename_app (p : MvPolynomial σ R) : killCompl hf (rename f p) = p :=
AlgHom.congr_fun (killCompl_comp_rename hf) p
#align mv_polynomial.kill_compl_rename_app MvPolynomial.killCompl_rename_app
end
section
variable (R)
@[simps apply]
def renameEquiv (f : σ ≃ τ) : MvPolynomial σ R ≃ₐ[R] MvPolynomial τ R :=
{ rename f with
toFun := rename f
invFun := rename f.symm
left_inv := fun p => by rw [rename_rename, f.symm_comp_self, rename_id]
right_inv := fun p => by rw [rename_rename, f.self_comp_symm, rename_id] }
#align mv_polynomial.rename_equiv MvPolynomial.renameEquiv
@[simp]
theorem renameEquiv_refl : renameEquiv R (Equiv.refl σ) = AlgEquiv.refl :=
AlgEquiv.ext rename_id
#align mv_polynomial.rename_equiv_refl MvPolynomial.renameEquiv_refl
@[simp]
theorem renameEquiv_symm (f : σ ≃ τ) : (renameEquiv R f).symm = renameEquiv R f.symm :=
rfl
#align mv_polynomial.rename_equiv_symm MvPolynomial.renameEquiv_symm
@[simp]
theorem renameEquiv_trans (e : σ ≃ τ) (f : τ ≃ α) :
(renameEquiv R e).trans (renameEquiv R f) = renameEquiv R (e.trans f) :=
AlgEquiv.ext (rename_rename e f)
#align mv_polynomial.rename_equiv_trans MvPolynomial.renameEquiv_trans
end
section
variable (f : R →+* S) (k : σ → τ) (g : τ → S) (p : MvPolynomial σ R)
theorem eval₂_rename : (rename k p).eval₂ f g = p.eval₂ f (g ∘ k) := by
apply MvPolynomial.induction_on p <;>
· intros
simp [*]
#align mv_polynomial.eval₂_rename MvPolynomial.eval₂_rename
theorem eval_rename (g : τ → R) (p : MvPolynomial σ R) : eval g (rename k p) = eval (g ∘ k) p :=
eval₂_rename _ _ _ _
theorem eval₂Hom_rename : eval₂Hom f g (rename k p) = eval₂Hom f (g ∘ k) p :=
eval₂_rename _ _ _ _
#align mv_polynomial.eval₂_hom_rename MvPolynomial.eval₂Hom_rename
theorem aeval_rename [Algebra R S] : aeval g (rename k p) = aeval (g ∘ k) p :=
eval₂Hom_rename _ _ _ _
#align mv_polynomial.aeval_rename MvPolynomial.aeval_rename
| Mathlib/Algebra/MvPolynomial/Rename.lean | 199 | 203 | theorem rename_eval₂ (g : τ → MvPolynomial σ R) :
rename k (p.eval₂ C (g ∘ k)) = (rename k p).eval₂ C (rename k ∘ g) := by |
apply MvPolynomial.induction_on p <;>
· intros
simp [*]
|
import Mathlib.Data.List.Chain
#align_import data.list.destutter from "leanprover-community/mathlib"@"7b78d1776212a91ecc94cf601f83bdcc46b04213"
variable {α : Type*} (l : List α) (R : α → α → Prop) [DecidableRel R] {a b : α}
namespace List
@[simp]
theorem destutter'_nil : destutter' R a [] = [a] :=
rfl
#align list.destutter'_nil List.destutter'_nil
theorem destutter'_cons :
(b :: l).destutter' R a = if R a b then a :: destutter' R b l else destutter' R a l :=
rfl
#align list.destutter'_cons List.destutter'_cons
variable {R}
@[simp]
theorem destutter'_cons_pos (h : R b a) : (a :: l).destutter' R b = b :: l.destutter' R a := by
rw [destutter', if_pos h]
#align list.destutter'_cons_pos List.destutter'_cons_pos
@[simp]
theorem destutter'_cons_neg (h : ¬R b a) : (a :: l).destutter' R b = l.destutter' R b := by
rw [destutter', if_neg h]
#align list.destutter'_cons_neg List.destutter'_cons_neg
variable (R)
@[simp]
theorem destutter'_singleton : [b].destutter' R a = if R a b then [a, b] else [a] := by
split_ifs with h <;> simp! [h]
#align list.destutter'_singleton List.destutter'_singleton
| Mathlib/Data/List/Destutter.lean | 64 | 70 | theorem destutter'_sublist (a) : l.destutter' R a <+ a :: l := by |
induction' l with b l hl generalizing a
· simp
rw [destutter']
split_ifs
· exact Sublist.cons₂ a (hl b)
· exact (hl a).trans ((l.sublist_cons b).cons_cons a)
|
import Mathlib.Analysis.RCLike.Basic
import Mathlib.Dynamics.BirkhoffSum.Average
open Function Set Filter
open scoped Topology ENNReal Uniformity
section
variable {α E : Type*}
theorem Function.IsFixedPt.tendsto_birkhoffAverage
(R : Type*) [DivisionSemiring R] [CharZero R]
[AddCommMonoid E] [TopologicalSpace E] [Module R E]
{f : α → α} {x : α} (h : f.IsFixedPt x) (g : α → E) :
Tendsto (birkhoffAverage R f g · x) atTop (𝓝 (g x)) :=
tendsto_const_nhds.congr' <| (eventually_ne_atTop 0).mono fun _n hn ↦
(h.birkhoffAverage_eq R g hn).symm
variable [NormedAddCommGroup E]
| Mathlib/Dynamics/BirkhoffSum/NormedSpace.lean | 42 | 44 | theorem dist_birkhoffSum_apply_birkhoffSum (f : α → α) (g : α → E) (n : ℕ) (x : α) :
dist (birkhoffSum f g n (f x)) (birkhoffSum f g n x) = dist (g (f^[n] x)) (g x) := by |
simp only [dist_eq_norm, birkhoffSum_apply_sub_birkhoffSum]
|
import Mathlib.Algebra.Polynomial.Degree.Definitions
import Mathlib.Data.ENat.Basic
#align_import data.polynomial.degree.trailing_degree from "leanprover-community/mathlib"@"302eab4f46abb63de520828de78c04cb0f9b5836"
noncomputable section
open Function Polynomial Finsupp Finset
open scoped Polynomial
namespace Polynomial
universe u v
variable {R : Type u} {S : Type v} {a b : R} {n m : ℕ}
section Semiring
variable [Semiring R] {p q r : R[X]}
def trailingDegree (p : R[X]) : ℕ∞ :=
p.support.min
#align polynomial.trailing_degree Polynomial.trailingDegree
theorem trailingDegree_lt_wf : WellFounded fun p q : R[X] => trailingDegree p < trailingDegree q :=
InvImage.wf trailingDegree wellFounded_lt
#align polynomial.trailing_degree_lt_wf Polynomial.trailingDegree_lt_wf
def natTrailingDegree (p : R[X]) : ℕ :=
(trailingDegree p).getD 0
#align polynomial.nat_trailing_degree Polynomial.natTrailingDegree
def trailingCoeff (p : R[X]) : R :=
coeff p (natTrailingDegree p)
#align polynomial.trailing_coeff Polynomial.trailingCoeff
def TrailingMonic (p : R[X]) :=
trailingCoeff p = (1 : R)
#align polynomial.trailing_monic Polynomial.TrailingMonic
theorem TrailingMonic.def : TrailingMonic p ↔ trailingCoeff p = 1 :=
Iff.rfl
#align polynomial.trailing_monic.def Polynomial.TrailingMonic.def
instance TrailingMonic.decidable [DecidableEq R] : Decidable (TrailingMonic p) :=
inferInstanceAs <| Decidable (trailingCoeff p = (1 : R))
#align polynomial.trailing_monic.decidable Polynomial.TrailingMonic.decidable
@[simp]
theorem TrailingMonic.trailingCoeff {p : R[X]} (hp : p.TrailingMonic) : trailingCoeff p = 1 :=
hp
#align polynomial.trailing_monic.trailing_coeff Polynomial.TrailingMonic.trailingCoeff
@[simp]
theorem trailingDegree_zero : trailingDegree (0 : R[X]) = ⊤ :=
rfl
#align polynomial.trailing_degree_zero Polynomial.trailingDegree_zero
@[simp]
theorem trailingCoeff_zero : trailingCoeff (0 : R[X]) = 0 :=
rfl
#align polynomial.trailing_coeff_zero Polynomial.trailingCoeff_zero
@[simp]
theorem natTrailingDegree_zero : natTrailingDegree (0 : R[X]) = 0 :=
rfl
#align polynomial.nat_trailing_degree_zero Polynomial.natTrailingDegree_zero
theorem trailingDegree_eq_top : trailingDegree p = ⊤ ↔ p = 0 :=
⟨fun h => support_eq_empty.1 (Finset.min_eq_top.1 h), fun h => by simp [h]⟩
#align polynomial.trailing_degree_eq_top Polynomial.trailingDegree_eq_top
theorem trailingDegree_eq_natTrailingDegree (hp : p ≠ 0) :
trailingDegree p = (natTrailingDegree p : ℕ∞) := by
let ⟨n, hn⟩ :=
not_forall.1 (mt Option.eq_none_iff_forall_not_mem.2 (mt trailingDegree_eq_top.1 hp))
have hn : trailingDegree p = n := Classical.not_not.1 hn
rw [natTrailingDegree, hn]
rfl
#align polynomial.trailing_degree_eq_nat_trailing_degree Polynomial.trailingDegree_eq_natTrailingDegree
theorem trailingDegree_eq_iff_natTrailingDegree_eq {p : R[X]} {n : ℕ} (hp : p ≠ 0) :
p.trailingDegree = n ↔ p.natTrailingDegree = n := by
rw [trailingDegree_eq_natTrailingDegree hp]
exact WithTop.coe_eq_coe
#align polynomial.trailing_degree_eq_iff_nat_trailing_degree_eq Polynomial.trailingDegree_eq_iff_natTrailingDegree_eq
theorem trailingDegree_eq_iff_natTrailingDegree_eq_of_pos {p : R[X]} {n : ℕ} (hn : 0 < n) :
p.trailingDegree = n ↔ p.natTrailingDegree = n := by
constructor
· intro H
rwa [← trailingDegree_eq_iff_natTrailingDegree_eq]
rintro rfl
rw [trailingDegree_zero] at H
exact Option.noConfusion H
· intro H
rwa [trailingDegree_eq_iff_natTrailingDegree_eq]
rintro rfl
rw [natTrailingDegree_zero] at H
rw [H] at hn
exact lt_irrefl _ hn
#align polynomial.trailing_degree_eq_iff_nat_trailing_degree_eq_of_pos Polynomial.trailingDegree_eq_iff_natTrailingDegree_eq_of_pos
theorem natTrailingDegree_eq_of_trailingDegree_eq_some {p : R[X]} {n : ℕ}
(h : trailingDegree p = n) : natTrailingDegree p = n :=
have hp0 : p ≠ 0 := fun hp0 => by rw [hp0] at h; exact Option.noConfusion h
Option.some_inj.1 <|
show (natTrailingDegree p : ℕ∞) = n by rwa [← trailingDegree_eq_natTrailingDegree hp0]
#align polynomial.nat_trailing_degree_eq_of_trailing_degree_eq_some Polynomial.natTrailingDegree_eq_of_trailingDegree_eq_some
@[simp]
theorem natTrailingDegree_le_trailingDegree : ↑(natTrailingDegree p) ≤ trailingDegree p := by
by_cases hp : p = 0;
· rw [hp, trailingDegree_zero]
exact le_top
rw [trailingDegree_eq_natTrailingDegree hp]
#align polynomial.nat_trailing_degree_le_trailing_degree Polynomial.natTrailingDegree_le_trailingDegree
theorem natTrailingDegree_eq_of_trailingDegree_eq [Semiring S] {q : S[X]}
(h : trailingDegree p = trailingDegree q) : natTrailingDegree p = natTrailingDegree q := by
unfold natTrailingDegree
rw [h]
#align polynomial.nat_trailing_degree_eq_of_trailing_degree_eq Polynomial.natTrailingDegree_eq_of_trailingDegree_eq
theorem trailingDegree_le_of_ne_zero (h : coeff p n ≠ 0) : trailingDegree p ≤ n :=
show @LE.le ℕ∞ _ p.support.min n from min_le (mem_support_iff.2 h)
#align polynomial.le_trailing_degree_of_ne_zero Polynomial.trailingDegree_le_of_ne_zero
theorem natTrailingDegree_le_of_ne_zero (h : coeff p n ≠ 0) : natTrailingDegree p ≤ n := by
have : WithTop.some (natTrailingDegree p) = Nat.cast (natTrailingDegree p) := rfl
rw [← WithTop.coe_le_coe, this, ← trailingDegree_eq_natTrailingDegree]
· exact trailingDegree_le_of_ne_zero h
· intro h
subst h
exact h rfl
#align polynomial.nat_trailing_degree_le_of_ne_zero Polynomial.natTrailingDegree_le_of_ne_zero
@[simp] lemma coeff_natTrailingDegree_eq_zero : coeff p p.natTrailingDegree = 0 ↔ p = 0 := by
constructor
· rintro h
by_contra hp
obtain ⟨n, hpn, hn⟩ := by simpa using min_mem_image_coe $ support_nonempty.2 hp
obtain rfl := (trailingDegree_eq_iff_natTrailingDegree_eq hp).1 hn.symm
exact hpn h
· rintro rfl
simp
lemma coeff_natTrailingDegree_ne_zero : coeff p p.natTrailingDegree ≠ 0 ↔ p ≠ 0 :=
coeff_natTrailingDegree_eq_zero.not
@[simp] lemma natTrailingDegree_eq_zero : natTrailingDegree p = 0 ↔ p = 0 ∨ coeff p 0 ≠ 0 := by
constructor
· rw [or_iff_not_imp_left]
rintro h hp
rwa [← h, coeff_natTrailingDegree_ne_zero]
· rintro (rfl | h)
· simp
· exact nonpos_iff_eq_zero.1 $ natTrailingDegree_le_of_ne_zero h
lemma trailingDegree_eq_zero : trailingDegree p = 0 ↔ coeff p 0 ≠ 0 := by
obtain rfl | hp := eq_or_ne p 0
· simp [WithTop.top_ne_zero (α := ℕ)]
· exact (trailingDegree_eq_iff_natTrailingDegree_eq hp).trans $
natTrailingDegree_eq_zero.trans $ or_iff_right hp
lemma natTrailingDegree_ne_zero : natTrailingDegree p ≠ 0 ↔ p ≠ 0 ∧ coeff p 0 = 0 :=
natTrailingDegree_eq_zero.not.trans $ by rw [not_or, not_ne_iff]
lemma trailingDegree_ne_zero : trailingDegree p ≠ 0 ↔ coeff p 0 = 0 :=
trailingDegree_eq_zero.not_left
@[simp] theorem trailingDegree_le_trailingDegree (h : coeff q (natTrailingDegree p) ≠ 0) :
trailingDegree q ≤ trailingDegree p := by
by_cases hp : p = 0
· rw [hp]
exact le_top
· rw [trailingDegree_eq_natTrailingDegree hp]
exact trailingDegree_le_of_ne_zero h
#align polynomial.trailing_degree_le_trailing_degree Polynomial.trailingDegree_le_trailingDegree
theorem trailingDegree_ne_of_natTrailingDegree_ne {n : ℕ} :
p.natTrailingDegree ≠ n → trailingDegree p ≠ n := by
-- Porting note: Needed to account for different coercion behaviour & add the lemma below
have : Nat.cast n = WithTop.some n := rfl
exact mt fun h => by rw [natTrailingDegree, h, this, ← WithTop.some_eq_coe, Option.getD_some]
#align polynomial.trailing_degree_ne_of_nat_trailing_degree_ne Polynomial.trailingDegree_ne_of_natTrailingDegree_ne
theorem natTrailingDegree_le_of_trailingDegree_le {n : ℕ} {hp : p ≠ 0}
(H : (n : ℕ∞) ≤ trailingDegree p) : n ≤ natTrailingDegree p := by
rw [trailingDegree_eq_natTrailingDegree hp] at H
exact WithTop.coe_le_coe.mp H
#align polynomial.nat_trailing_degree_le_of_trailing_degree_le Polynomial.natTrailingDegree_le_of_trailingDegree_le
theorem natTrailingDegree_le_natTrailingDegree {hq : q ≠ 0}
(hpq : p.trailingDegree ≤ q.trailingDegree) : p.natTrailingDegree ≤ q.natTrailingDegree := by
by_cases hp : p = 0;
· rw [hp, natTrailingDegree_zero]
exact zero_le _
rw [trailingDegree_eq_natTrailingDegree hp, trailingDegree_eq_natTrailingDegree hq] at hpq
exact WithTop.coe_le_coe.1 hpq
#align polynomial.nat_trailing_degree_le_nat_trailing_degree Polynomial.natTrailingDegree_le_natTrailingDegree
@[simp]
theorem trailingDegree_monomial (ha : a ≠ 0) : trailingDegree (monomial n a) = n := by
rw [trailingDegree, support_monomial n ha, min_singleton]
rfl
#align polynomial.trailing_degree_monomial Polynomial.trailingDegree_monomial
theorem natTrailingDegree_monomial (ha : a ≠ 0) : natTrailingDegree (monomial n a) = n := by
rw [natTrailingDegree, trailingDegree_monomial ha]
rfl
#align polynomial.nat_trailing_degree_monomial Polynomial.natTrailingDegree_monomial
theorem natTrailingDegree_monomial_le : natTrailingDegree (monomial n a) ≤ n :=
letI := Classical.decEq R
if ha : a = 0 then by simp [ha] else (natTrailingDegree_monomial ha).le
#align polynomial.nat_trailing_degree_monomial_le Polynomial.natTrailingDegree_monomial_le
theorem le_trailingDegree_monomial : ↑n ≤ trailingDegree (monomial n a) :=
letI := Classical.decEq R
if ha : a = 0 then by simp [ha] else (trailingDegree_monomial ha).ge
#align polynomial.le_trailing_degree_monomial Polynomial.le_trailingDegree_monomial
@[simp]
theorem trailingDegree_C (ha : a ≠ 0) : trailingDegree (C a) = (0 : ℕ∞) :=
trailingDegree_monomial ha
set_option linter.uppercaseLean3 false in
#align polynomial.trailing_degree_C Polynomial.trailingDegree_C
theorem le_trailingDegree_C : (0 : ℕ∞) ≤ trailingDegree (C a) :=
le_trailingDegree_monomial
set_option linter.uppercaseLean3 false in
#align polynomial.le_trailing_degree_C Polynomial.le_trailingDegree_C
theorem trailingDegree_one_le : (0 : ℕ∞) ≤ trailingDegree (1 : R[X]) := by
rw [← C_1]
exact le_trailingDegree_C
#align polynomial.trailing_degree_one_le Polynomial.trailingDegree_one_le
@[simp]
theorem natTrailingDegree_C (a : R) : natTrailingDegree (C a) = 0 :=
nonpos_iff_eq_zero.1 natTrailingDegree_monomial_le
set_option linter.uppercaseLean3 false in
#align polynomial.nat_trailing_degree_C Polynomial.natTrailingDegree_C
@[simp]
theorem natTrailingDegree_one : natTrailingDegree (1 : R[X]) = 0 :=
natTrailingDegree_C 1
#align polynomial.nat_trailing_degree_one Polynomial.natTrailingDegree_one
@[simp]
theorem natTrailingDegree_natCast (n : ℕ) : natTrailingDegree (n : R[X]) = 0 := by
simp only [← C_eq_natCast, natTrailingDegree_C]
#align polynomial.nat_trailing_degree_nat_cast Polynomial.natTrailingDegree_natCast
@[deprecated (since := "2024-04-17")]
alias natTrailingDegree_nat_cast := natTrailingDegree_natCast
@[simp]
theorem trailingDegree_C_mul_X_pow (n : ℕ) (ha : a ≠ 0) : trailingDegree (C a * X ^ n) = n := by
rw [C_mul_X_pow_eq_monomial, trailingDegree_monomial ha]
set_option linter.uppercaseLean3 false in
#align polynomial.trailing_degree_C_mul_X_pow Polynomial.trailingDegree_C_mul_X_pow
theorem le_trailingDegree_C_mul_X_pow (n : ℕ) (a : R) :
(n : ℕ∞) ≤ trailingDegree (C a * X ^ n) := by
rw [C_mul_X_pow_eq_monomial]
exact le_trailingDegree_monomial
set_option linter.uppercaseLean3 false in
#align polynomial.le_trailing_degree_C_mul_X_pow Polynomial.le_trailingDegree_C_mul_X_pow
theorem coeff_eq_zero_of_lt_trailingDegree (h : (n : ℕ∞) < trailingDegree p) : coeff p n = 0 :=
Classical.not_not.1 (mt trailingDegree_le_of_ne_zero (not_le_of_gt h))
#align polynomial.coeff_eq_zero_of_trailing_degree_lt Polynomial.coeff_eq_zero_of_lt_trailingDegree
theorem coeff_eq_zero_of_lt_natTrailingDegree {p : R[X]} {n : ℕ} (h : n < p.natTrailingDegree) :
p.coeff n = 0 := by
apply coeff_eq_zero_of_lt_trailingDegree
by_cases hp : p = 0
· rw [hp, trailingDegree_zero]
exact WithTop.coe_lt_top n
· rw [trailingDegree_eq_natTrailingDegree hp]
exact WithTop.coe_lt_coe.2 h
#align polynomial.coeff_eq_zero_of_lt_nat_trailing_degree Polynomial.coeff_eq_zero_of_lt_natTrailingDegree
@[simp]
theorem coeff_natTrailingDegree_pred_eq_zero {p : R[X]} {hp : (0 : ℕ∞) < natTrailingDegree p} :
p.coeff (p.natTrailingDegree - 1) = 0 :=
coeff_eq_zero_of_lt_natTrailingDegree <|
Nat.sub_lt ((WithTop.zero_lt_coe (natTrailingDegree p)).mp hp) Nat.one_pos
#align polynomial.coeff_nat_trailing_degree_pred_eq_zero Polynomial.coeff_natTrailingDegree_pred_eq_zero
theorem le_trailingDegree_X_pow (n : ℕ) : (n : ℕ∞) ≤ trailingDegree (X ^ n : R[X]) := by
simpa only [C_1, one_mul] using le_trailingDegree_C_mul_X_pow n (1 : R)
set_option linter.uppercaseLean3 false in
#align polynomial.le_trailing_degree_X_pow Polynomial.le_trailingDegree_X_pow
theorem le_trailingDegree_X : (1 : ℕ∞) ≤ trailingDegree (X : R[X]) :=
le_trailingDegree_monomial
set_option linter.uppercaseLean3 false in
#align polynomial.le_trailing_degree_X Polynomial.le_trailingDegree_X
theorem natTrailingDegree_X_le : (X : R[X]).natTrailingDegree ≤ 1 :=
natTrailingDegree_monomial_le
set_option linter.uppercaseLean3 false in
#align polynomial.nat_trailing_degree_X_le Polynomial.natTrailingDegree_X_le
@[simp]
theorem trailingCoeff_eq_zero : trailingCoeff p = 0 ↔ p = 0 :=
⟨fun h =>
_root_.by_contradiction fun hp =>
mt mem_support_iff.1 (Classical.not_not.2 h)
(mem_of_min (trailingDegree_eq_natTrailingDegree hp)),
fun h => h.symm ▸ leadingCoeff_zero⟩
#align polynomial.trailing_coeff_eq_zero Polynomial.trailingCoeff_eq_zero
theorem trailingCoeff_nonzero_iff_nonzero : trailingCoeff p ≠ 0 ↔ p ≠ 0 :=
not_congr trailingCoeff_eq_zero
#align polynomial.trailing_coeff_nonzero_iff_nonzero Polynomial.trailingCoeff_nonzero_iff_nonzero
theorem natTrailingDegree_mem_support_of_nonzero : p ≠ 0 → natTrailingDegree p ∈ p.support :=
mem_support_iff.mpr ∘ trailingCoeff_nonzero_iff_nonzero.mpr
#align polynomial.nat_trailing_degree_mem_support_of_nonzero Polynomial.natTrailingDegree_mem_support_of_nonzero
theorem natTrailingDegree_le_of_mem_supp (a : ℕ) : a ∈ p.support → natTrailingDegree p ≤ a :=
natTrailingDegree_le_of_ne_zero ∘ mem_support_iff.mp
#align polynomial.nat_trailing_degree_le_of_mem_supp Polynomial.natTrailingDegree_le_of_mem_supp
theorem natTrailingDegree_eq_support_min' (h : p ≠ 0) :
natTrailingDegree p = p.support.min' (nonempty_support_iff.mpr h) := by
apply le_antisymm
· apply le_min'
intro y hy
exact natTrailingDegree_le_of_mem_supp y hy
· apply Finset.min'_le
exact mem_support_iff.mpr (trailingCoeff_nonzero_iff_nonzero.mpr h)
#align polynomial.nat_trailing_degree_eq_support_min' Polynomial.natTrailingDegree_eq_support_min'
theorem le_natTrailingDegree (hp : p ≠ 0) (hn : ∀ m < n, p.coeff m = 0) :
n ≤ p.natTrailingDegree := by
rw [natTrailingDegree_eq_support_min' hp]
exact Finset.le_min' _ _ _ fun m hm => not_lt.1 fun hmn => mem_support_iff.1 hm <| hn _ hmn
#align polynomial.le_nat_trailing_degree Polynomial.le_natTrailingDegree
theorem natTrailingDegree_le_natDegree (p : R[X]) : p.natTrailingDegree ≤ p.natDegree := by
by_cases hp : p = 0
· rw [hp, natDegree_zero, natTrailingDegree_zero]
· exact le_natDegree_of_ne_zero (mt trailingCoeff_eq_zero.mp hp)
#align polynomial.nat_trailing_degree_le_nat_degree Polynomial.natTrailingDegree_le_natDegree
theorem natTrailingDegree_mul_X_pow {p : R[X]} (hp : p ≠ 0) (n : ℕ) :
(p * X ^ n).natTrailingDegree = p.natTrailingDegree + n := by
apply le_antisymm
· refine natTrailingDegree_le_of_ne_zero fun h => mt trailingCoeff_eq_zero.mp hp ?_
rwa [trailingCoeff, ← coeff_mul_X_pow]
· rw [natTrailingDegree_eq_support_min' fun h => hp (mul_X_pow_eq_zero h), Finset.le_min'_iff]
intro y hy
have key : n ≤ y := by
rw [mem_support_iff, coeff_mul_X_pow'] at hy
exact by_contra fun h => hy (if_neg h)
rw [mem_support_iff, coeff_mul_X_pow', if_pos key] at hy
exact (le_tsub_iff_right key).mp (natTrailingDegree_le_of_ne_zero hy)
set_option linter.uppercaseLean3 false in
#align polynomial.nat_trailing_degree_mul_X_pow Polynomial.natTrailingDegree_mul_X_pow
theorem le_trailingDegree_mul : p.trailingDegree + q.trailingDegree ≤ (p * q).trailingDegree := by
refine Finset.le_min fun n hn => ?_
rw [mem_support_iff, coeff_mul] at hn
obtain ⟨⟨i, j⟩, hij, hpq⟩ := exists_ne_zero_of_sum_ne_zero hn
refine
(add_le_add (min_le (mem_support_iff.mpr (left_ne_zero_of_mul hpq)))
(min_le (mem_support_iff.mpr (right_ne_zero_of_mul hpq)))).trans
(le_of_eq ?_)
rwa [← WithTop.coe_add, WithTop.coe_eq_coe, ← mem_antidiagonal]
#align polynomial.le_trailing_degree_mul Polynomial.le_trailingDegree_mul
theorem le_natTrailingDegree_mul (h : p * q ≠ 0) :
p.natTrailingDegree + q.natTrailingDegree ≤ (p * q).natTrailingDegree := by
have hp : p ≠ 0 := fun hp => h (by rw [hp, zero_mul])
have hq : q ≠ 0 := fun hq => h (by rw [hq, mul_zero])
-- Porting note: Needed to account for different coercion behaviour & add the lemma below
have : ∀ (p : R[X]), WithTop.some (natTrailingDegree p) = Nat.cast (natTrailingDegree p) :=
fun p ↦ rfl
rw [← WithTop.coe_le_coe, WithTop.coe_add, this p, this q, this (p * q),
← trailingDegree_eq_natTrailingDegree hp, ← trailingDegree_eq_natTrailingDegree hq,
← trailingDegree_eq_natTrailingDegree h]
exact le_trailingDegree_mul
#align polynomial.le_nat_trailing_degree_mul Polynomial.le_natTrailingDegree_mul
theorem coeff_mul_natTrailingDegree_add_natTrailingDegree : (p * q).coeff
(p.natTrailingDegree + q.natTrailingDegree) = p.trailingCoeff * q.trailingCoeff := by
rw [coeff_mul]
refine
Finset.sum_eq_single (p.natTrailingDegree, q.natTrailingDegree) ?_ fun h =>
(h (mem_antidiagonal.mpr rfl)).elim
rintro ⟨i, j⟩ h₁ h₂
rw [mem_antidiagonal] at h₁
by_cases hi : i < p.natTrailingDegree
· rw [coeff_eq_zero_of_lt_natTrailingDegree hi, zero_mul]
by_cases hj : j < q.natTrailingDegree
· rw [coeff_eq_zero_of_lt_natTrailingDegree hj, mul_zero]
rw [not_lt] at hi hj
refine (h₂ (Prod.ext_iff.mpr ?_).symm).elim
exact (add_eq_add_iff_eq_and_eq hi hj).mp h₁.symm
#align polynomial.coeff_mul_nat_trailing_degree_add_nat_trailing_degree Polynomial.coeff_mul_natTrailingDegree_add_natTrailingDegree
theorem trailingDegree_mul' (h : p.trailingCoeff * q.trailingCoeff ≠ 0) :
(p * q).trailingDegree = p.trailingDegree + q.trailingDegree := by
have hp : p ≠ 0 := fun hp => h (by rw [hp, trailingCoeff_zero, zero_mul])
have hq : q ≠ 0 := fun hq => h (by rw [hq, trailingCoeff_zero, mul_zero])
refine le_antisymm ?_ le_trailingDegree_mul
rw [trailingDegree_eq_natTrailingDegree hp, trailingDegree_eq_natTrailingDegree hq, ←
ENat.coe_add]
apply trailingDegree_le_of_ne_zero
rwa [coeff_mul_natTrailingDegree_add_natTrailingDegree]
#align polynomial.trailing_degree_mul' Polynomial.trailingDegree_mul'
| Mathlib/Algebra/Polynomial/Degree/TrailingDegree.lean | 447 | 458 | theorem natTrailingDegree_mul' (h : p.trailingCoeff * q.trailingCoeff ≠ 0) :
(p * q).natTrailingDegree = p.natTrailingDegree + q.natTrailingDegree := by |
have hp : p ≠ 0 := fun hp => h (by rw [hp, trailingCoeff_zero, zero_mul])
have hq : q ≠ 0 := fun hq => h (by rw [hq, trailingCoeff_zero, mul_zero])
-- Porting note: Needed to account for different coercion behaviour & add the lemmas below
have aux1 : ∀ n, Nat.cast n = WithTop.some (n) := fun n ↦ rfl
have aux2 : ∀ (p : R[X]), WithTop.some (natTrailingDegree p) = Nat.cast (natTrailingDegree p) :=
fun p ↦ rfl
apply natTrailingDegree_eq_of_trailingDegree_eq_some
rw [trailingDegree_mul' h, aux1 (natTrailingDegree p + natTrailingDegree q),
WithTop.coe_add, aux2 p, aux2 q, ← trailingDegree_eq_natTrailingDegree hp, ←
trailingDegree_eq_natTrailingDegree hq]
|
import Mathlib.GroupTheory.Submonoid.Inverses
import Mathlib.RingTheory.FiniteType
import Mathlib.RingTheory.Localization.Basic
#align_import ring_theory.localization.inv_submonoid from "leanprover-community/mathlib"@"6e7ca692c98bbf8a64868f61a67fb9c33b10770d"
variable {R : Type*} [CommRing R] (M : Submonoid R) (S : Type*) [CommRing S]
variable [Algebra R S] {P : Type*} [CommRing P]
open Function
namespace IsLocalization
section InvSubmonoid
def invSubmonoid : Submonoid S :=
(M.map (algebraMap R S)).leftInv
#align is_localization.inv_submonoid IsLocalization.invSubmonoid
variable [IsLocalization M S]
theorem submonoid_map_le_is_unit : M.map (algebraMap R S) ≤ IsUnit.submonoid S := by
rintro _ ⟨a, ha, rfl⟩
exact IsLocalization.map_units S ⟨_, ha⟩
#align is_localization.submonoid_map_le_is_unit IsLocalization.submonoid_map_le_is_unit
noncomputable abbrev equivInvSubmonoid : M.map (algebraMap R S) ≃* invSubmonoid M S :=
((M.map (algebraMap R S)).leftInvEquiv (submonoid_map_le_is_unit M S)).symm
#align is_localization.equiv_inv_submonoid IsLocalization.equivInvSubmonoid
noncomputable def toInvSubmonoid : M →* invSubmonoid M S :=
(equivInvSubmonoid M S).toMonoidHom.comp ((algebraMap R S : R →* S).submonoidMap M)
#align is_localization.to_inv_submonoid IsLocalization.toInvSubmonoid
theorem toInvSubmonoid_surjective : Function.Surjective (toInvSubmonoid M S) :=
Function.Surjective.comp (β := M.map (algebraMap R S))
(Equiv.surjective (equivInvSubmonoid _ _).toEquiv) (MonoidHom.submonoidMap_surjective _ _)
#align is_localization.to_inv_submonoid_surjective IsLocalization.toInvSubmonoid_surjective
@[simp]
theorem toInvSubmonoid_mul (m : M) : (toInvSubmonoid M S m : S) * algebraMap R S m = 1 :=
Submonoid.leftInvEquiv_symm_mul _ (submonoid_map_le_is_unit _ _) _
#align is_localization.to_inv_submonoid_mul IsLocalization.toInvSubmonoid_mul
@[simp]
theorem mul_toInvSubmonoid (m : M) : algebraMap R S m * (toInvSubmonoid M S m : S) = 1 :=
Submonoid.mul_leftInvEquiv_symm _ (submonoid_map_le_is_unit _ _) ⟨_, _⟩
#align is_localization.mul_to_inv_submonoid IsLocalization.mul_toInvSubmonoid
@[simp]
theorem smul_toInvSubmonoid (m : M) : m • (toInvSubmonoid M S m : S) = 1 := by
convert mul_toInvSubmonoid M S m
ext
rw [← Algebra.smul_def]
rfl
#align is_localization.smul_to_inv_submonoid IsLocalization.smul_toInvSubmonoid
variable {S}
-- Porting note: `surj'` was taken, so use `surj''` instead
| Mathlib/RingTheory/Localization/InvSubmonoid.lean | 87 | 91 | theorem surj'' (z : S) : ∃ (r : R) (m : M), z = r • (toInvSubmonoid M S m : S) := by |
rcases IsLocalization.surj M z with ⟨⟨r, m⟩, e : z * _ = algebraMap R S r⟩
refine ⟨r, m, ?_⟩
rw [Algebra.smul_def, ← e, mul_assoc]
simp
|
import Mathlib.Algebra.CharP.Two
import Mathlib.Algebra.CharP.Reduced
import Mathlib.Algebra.NeZero
import Mathlib.Algebra.Polynomial.RingDivision
import Mathlib.GroupTheory.SpecificGroups.Cyclic
import Mathlib.NumberTheory.Divisors
import Mathlib.RingTheory.IntegralDomain
import Mathlib.Tactic.Zify
#align_import ring_theory.roots_of_unity.basic from "leanprover-community/mathlib"@"7fdeecc0d03cd40f7a165e6cf00a4d2286db599f"
open scoped Classical Polynomial
noncomputable section
open Polynomial
open Finset
variable {M N G R S F : Type*}
variable [CommMonoid M] [CommMonoid N] [DivisionCommMonoid G]
section rootsOfUnity
variable {k l : ℕ+}
def rootsOfUnity (k : ℕ+) (M : Type*) [CommMonoid M] : Subgroup Mˣ where
carrier := {ζ | ζ ^ (k : ℕ) = 1}
one_mem' := one_pow _
mul_mem' _ _ := by simp_all only [Set.mem_setOf_eq, mul_pow, one_mul]
inv_mem' _ := by simp_all only [Set.mem_setOf_eq, inv_pow, inv_one]
#align roots_of_unity rootsOfUnity
@[simp]
theorem mem_rootsOfUnity (k : ℕ+) (ζ : Mˣ) : ζ ∈ rootsOfUnity k M ↔ ζ ^ (k : ℕ) = 1 :=
Iff.rfl
#align mem_roots_of_unity mem_rootsOfUnity
theorem mem_rootsOfUnity' (k : ℕ+) (ζ : Mˣ) : ζ ∈ rootsOfUnity k M ↔ (ζ : M) ^ (k : ℕ) = 1 := by
rw [mem_rootsOfUnity]; norm_cast
#align mem_roots_of_unity' mem_rootsOfUnity'
@[simp]
theorem rootsOfUnity_one (M : Type*) [CommMonoid M] : rootsOfUnity 1 M = ⊥ := by ext; simp
theorem rootsOfUnity.coe_injective {n : ℕ+} :
Function.Injective (fun x : rootsOfUnity n M ↦ x.val.val) :=
Units.ext.comp fun _ _ => Subtype.eq
#align roots_of_unity.coe_injective rootsOfUnity.coe_injective
@[simps! coe_val]
def rootsOfUnity.mkOfPowEq (ζ : M) {n : ℕ+} (h : ζ ^ (n : ℕ) = 1) : rootsOfUnity n M :=
⟨Units.ofPowEqOne ζ n h n.ne_zero, Units.pow_ofPowEqOne _ _⟩
#align roots_of_unity.mk_of_pow_eq rootsOfUnity.mkOfPowEq
#align roots_of_unity.mk_of_pow_eq_coe_coe rootsOfUnity.val_mkOfPowEq_coe
@[simp]
theorem rootsOfUnity.coe_mkOfPowEq {ζ : M} {n : ℕ+} (h : ζ ^ (n : ℕ) = 1) :
((rootsOfUnity.mkOfPowEq _ h : Mˣ) : M) = ζ :=
rfl
#align roots_of_unity.coe_mk_of_pow_eq rootsOfUnity.coe_mkOfPowEq
theorem rootsOfUnity_le_of_dvd (h : k ∣ l) : rootsOfUnity k M ≤ rootsOfUnity l M := by
obtain ⟨d, rfl⟩ := h
intro ζ h
simp_all only [mem_rootsOfUnity, PNat.mul_coe, pow_mul, one_pow]
#align roots_of_unity_le_of_dvd rootsOfUnity_le_of_dvd
theorem map_rootsOfUnity (f : Mˣ →* Nˣ) (k : ℕ+) : (rootsOfUnity k M).map f ≤ rootsOfUnity k N := by
rintro _ ⟨ζ, h, rfl⟩
simp_all only [← map_pow, mem_rootsOfUnity, SetLike.mem_coe, MonoidHom.map_one]
#align map_roots_of_unity map_rootsOfUnity
@[norm_cast]
| Mathlib/RingTheory/RootsOfUnity/Basic.lean | 131 | 133 | theorem rootsOfUnity.coe_pow [CommMonoid R] (ζ : rootsOfUnity k R) (m : ℕ) :
(((ζ ^ m :) : Rˣ) : R) = ((ζ : Rˣ) : R) ^ m := by |
rw [Subgroup.coe_pow, Units.val_pow_eq_pow_val]
|
import Batteries.Control.ForInStep.Lemmas
import Batteries.Data.List.Basic
import Batteries.Tactic.Init
import Batteries.Tactic.Alias
namespace List
open Nat
@[simp] theorem mem_toArray {a : α} {l : List α} : a ∈ l.toArray ↔ a ∈ l := by
simp [Array.mem_def]
@[simp]
theorem drop_one : ∀ l : List α, drop 1 l = tail l
| [] | _ :: _ => rfl
theorem zipWith_distrib_tail : (zipWith f l l').tail = zipWith f l.tail l'.tail := by
rw [← drop_one]; simp [zipWith_distrib_drop]
theorem subset_def {l₁ l₂ : List α} : l₁ ⊆ l₂ ↔ ∀ {a : α}, a ∈ l₁ → a ∈ l₂ := .rfl
@[simp] theorem nil_subset (l : List α) : [] ⊆ l := nofun
@[simp] theorem Subset.refl (l : List α) : l ⊆ l := fun _ i => i
theorem Subset.trans {l₁ l₂ l₃ : List α} (h₁ : l₁ ⊆ l₂) (h₂ : l₂ ⊆ l₃) : l₁ ⊆ l₃ :=
fun _ i => h₂ (h₁ i)
instance : Trans (Membership.mem : α → List α → Prop) Subset Membership.mem :=
⟨fun h₁ h₂ => h₂ h₁⟩
instance : Trans (Subset : List α → List α → Prop) Subset Subset :=
⟨Subset.trans⟩
@[simp] theorem subset_cons (a : α) (l : List α) : l ⊆ a :: l := fun _ => Mem.tail _
theorem subset_of_cons_subset {a : α} {l₁ l₂ : List α} : a :: l₁ ⊆ l₂ → l₁ ⊆ l₂ :=
fun s _ i => s (mem_cons_of_mem _ i)
theorem subset_cons_of_subset (a : α) {l₁ l₂ : List α} : l₁ ⊆ l₂ → l₁ ⊆ a :: l₂ :=
fun s _ i => .tail _ (s i)
theorem cons_subset_cons {l₁ l₂ : List α} (a : α) (s : l₁ ⊆ l₂) : a :: l₁ ⊆ a :: l₂ :=
fun _ => by simp only [mem_cons]; exact Or.imp_right (@s _)
@[simp] theorem subset_append_left (l₁ l₂ : List α) : l₁ ⊆ l₁ ++ l₂ := fun _ => mem_append_left _
@[simp] theorem subset_append_right (l₁ l₂ : List α) : l₂ ⊆ l₁ ++ l₂ := fun _ => mem_append_right _
theorem subset_append_of_subset_left (l₂ : List α) : l ⊆ l₁ → l ⊆ l₁ ++ l₂ :=
fun s => Subset.trans s <| subset_append_left _ _
theorem subset_append_of_subset_right (l₁ : List α) : l ⊆ l₂ → l ⊆ l₁ ++ l₂ :=
fun s => Subset.trans s <| subset_append_right _ _
@[simp] theorem cons_subset : a :: l ⊆ m ↔ a ∈ m ∧ l ⊆ m := by
simp only [subset_def, mem_cons, or_imp, forall_and, forall_eq]
@[simp] theorem append_subset {l₁ l₂ l : List α} :
l₁ ++ l₂ ⊆ l ↔ l₁ ⊆ l ∧ l₂ ⊆ l := by simp [subset_def, or_imp, forall_and]
theorem subset_nil {l : List α} : l ⊆ [] ↔ l = [] :=
⟨fun h => match l with | [] => rfl | _::_ => (nomatch h (.head ..)), fun | rfl => Subset.refl _⟩
theorem map_subset {l₁ l₂ : List α} (f : α → β) (H : l₁ ⊆ l₂) : map f l₁ ⊆ map f l₂ :=
fun x => by simp only [mem_map]; exact .imp fun a => .imp_left (@H _)
@[simp] theorem nil_sublist : ∀ l : List α, [] <+ l
| [] => .slnil
| a :: l => (nil_sublist l).cons a
@[simp] theorem Sublist.refl : ∀ l : List α, l <+ l
| [] => .slnil
| a :: l => (Sublist.refl l).cons₂ a
theorem Sublist.trans {l₁ l₂ l₃ : List α} (h₁ : l₁ <+ l₂) (h₂ : l₂ <+ l₃) : l₁ <+ l₃ := by
induction h₂ generalizing l₁ with
| slnil => exact h₁
| cons _ _ IH => exact (IH h₁).cons _
| @cons₂ l₂ _ a _ IH =>
generalize e : a :: l₂ = l₂'
match e ▸ h₁ with
| .slnil => apply nil_sublist
| .cons a' h₁' => cases e; apply (IH h₁').cons
| .cons₂ a' h₁' => cases e; apply (IH h₁').cons₂
instance : Trans (@Sublist α) Sublist Sublist := ⟨Sublist.trans⟩
@[simp] theorem sublist_cons (a : α) (l : List α) : l <+ a :: l := (Sublist.refl l).cons _
theorem sublist_of_cons_sublist : a :: l₁ <+ l₂ → l₁ <+ l₂ :=
(sublist_cons a l₁).trans
@[simp] theorem sublist_append_left : ∀ l₁ l₂ : List α, l₁ <+ l₁ ++ l₂
| [], _ => nil_sublist _
| _ :: l₁, l₂ => (sublist_append_left l₁ l₂).cons₂ _
@[simp] theorem sublist_append_right : ∀ l₁ l₂ : List α, l₂ <+ l₁ ++ l₂
| [], _ => Sublist.refl _
| _ :: l₁, l₂ => (sublist_append_right l₁ l₂).cons _
theorem sublist_append_of_sublist_left (s : l <+ l₁) : l <+ l₁ ++ l₂ :=
s.trans <| sublist_append_left ..
theorem sublist_append_of_sublist_right (s : l <+ l₂) : l <+ l₁ ++ l₂ :=
s.trans <| sublist_append_right ..
@[simp]
theorem cons_sublist_cons : a :: l₁ <+ a :: l₂ ↔ l₁ <+ l₂ :=
⟨fun | .cons _ s => sublist_of_cons_sublist s | .cons₂ _ s => s, .cons₂ _⟩
@[simp] theorem append_sublist_append_left : ∀ l, l ++ l₁ <+ l ++ l₂ ↔ l₁ <+ l₂
| [] => Iff.rfl
| _ :: l => cons_sublist_cons.trans (append_sublist_append_left l)
theorem Sublist.append_left : l₁ <+ l₂ → ∀ l, l ++ l₁ <+ l ++ l₂ :=
fun h l => (append_sublist_append_left l).mpr h
theorem Sublist.append_right : l₁ <+ l₂ → ∀ l, l₁ ++ l <+ l₂ ++ l
| .slnil, _ => Sublist.refl _
| .cons _ h, _ => (h.append_right _).cons _
| .cons₂ _ h, _ => (h.append_right _).cons₂ _
theorem sublist_or_mem_of_sublist (h : l <+ l₁ ++ a :: l₂) : l <+ l₁ ++ l₂ ∨ a ∈ l := by
induction l₁ generalizing l with
| nil => match h with
| .cons _ h => exact .inl h
| .cons₂ _ h => exact .inr (.head ..)
| cons b l₁ IH =>
match h with
| .cons _ h => exact (IH h).imp_left (Sublist.cons _)
| .cons₂ _ h => exact (IH h).imp (Sublist.cons₂ _) (.tail _)
theorem Sublist.reverse : l₁ <+ l₂ → l₁.reverse <+ l₂.reverse
| .slnil => Sublist.refl _
| .cons _ h => by rw [reverse_cons]; exact sublist_append_of_sublist_left h.reverse
| .cons₂ _ h => by rw [reverse_cons, reverse_cons]; exact h.reverse.append_right _
@[simp] theorem reverse_sublist : l₁.reverse <+ l₂.reverse ↔ l₁ <+ l₂ :=
⟨fun h => l₁.reverse_reverse ▸ l₂.reverse_reverse ▸ h.reverse, Sublist.reverse⟩
@[simp] theorem append_sublist_append_right (l) : l₁ ++ l <+ l₂ ++ l ↔ l₁ <+ l₂ :=
⟨fun h => by
have := h.reverse
simp only [reverse_append, append_sublist_append_left, reverse_sublist] at this
exact this,
fun h => h.append_right l⟩
theorem Sublist.append (hl : l₁ <+ l₂) (hr : r₁ <+ r₂) : l₁ ++ r₁ <+ l₂ ++ r₂ :=
(hl.append_right _).trans ((append_sublist_append_left _).2 hr)
theorem Sublist.subset : l₁ <+ l₂ → l₁ ⊆ l₂
| .slnil, _, h => h
| .cons _ s, _, h => .tail _ (s.subset h)
| .cons₂ .., _, .head .. => .head ..
| .cons₂ _ s, _, .tail _ h => .tail _ (s.subset h)
instance : Trans (@Sublist α) Subset Subset :=
⟨fun h₁ h₂ => trans h₁.subset h₂⟩
instance : Trans Subset (@Sublist α) Subset :=
⟨fun h₁ h₂ => trans h₁ h₂.subset⟩
instance : Trans (Membership.mem : α → List α → Prop) Sublist Membership.mem :=
⟨fun h₁ h₂ => h₂.subset h₁⟩
theorem Sublist.length_le : l₁ <+ l₂ → length l₁ ≤ length l₂
| .slnil => Nat.le_refl 0
| .cons _l s => le_succ_of_le (length_le s)
| .cons₂ _ s => succ_le_succ (length_le s)
@[simp] theorem sublist_nil {l : List α} : l <+ [] ↔ l = [] :=
⟨fun s => subset_nil.1 s.subset, fun H => H ▸ Sublist.refl _⟩
theorem Sublist.eq_of_length : l₁ <+ l₂ → length l₁ = length l₂ → l₁ = l₂
| .slnil, _ => rfl
| .cons a s, h => nomatch Nat.not_lt.2 s.length_le (h ▸ lt_succ_self _)
| .cons₂ a s, h => by rw [s.eq_of_length (succ.inj h)]
theorem Sublist.eq_of_length_le (s : l₁ <+ l₂) (h : length l₂ ≤ length l₁) : l₁ = l₂ :=
s.eq_of_length <| Nat.le_antisymm s.length_le h
@[simp] theorem singleton_sublist {a : α} {l} : [a] <+ l ↔ a ∈ l := by
refine ⟨fun h => h.subset (mem_singleton_self _), fun h => ?_⟩
obtain ⟨_, _, rfl⟩ := append_of_mem h
exact ((nil_sublist _).cons₂ _).trans (sublist_append_right ..)
@[simp] theorem replicate_sublist_replicate {m n} (a : α) :
replicate m a <+ replicate n a ↔ m ≤ n := by
refine ⟨fun h => ?_, fun h => ?_⟩
· have := h.length_le; simp only [length_replicate] at this ⊢; exact this
· induction h with
| refl => apply Sublist.refl
| step => simp [*, replicate, Sublist.cons]
theorem isSublist_iff_sublist [BEq α] [LawfulBEq α] {l₁ l₂ : List α} :
l₁.isSublist l₂ ↔ l₁ <+ l₂ := by
cases l₁ <;> cases l₂ <;> simp [isSublist]
case cons.cons hd₁ tl₁ hd₂ tl₂ =>
if h_eq : hd₁ = hd₂ then
simp [h_eq, cons_sublist_cons, isSublist_iff_sublist]
else
simp only [beq_iff_eq, h_eq]
constructor
· intro h_sub
apply Sublist.cons
exact isSublist_iff_sublist.mp h_sub
· intro h_sub
cases h_sub
case cons h_sub =>
exact isSublist_iff_sublist.mpr h_sub
case cons₂ =>
contradiction
instance [DecidableEq α] (l₁ l₂ : List α) : Decidable (l₁ <+ l₂) :=
decidable_of_iff (l₁.isSublist l₂) isSublist_iff_sublist
theorem tail_eq_tailD (l) : @tail α l = tailD l [] := by cases l <;> rfl
theorem tail_eq_tail? (l) : @tail α l = (tail? l).getD [] := by simp [tail_eq_tailD]
@[simp] theorem next?_nil : @next? α [] = none := rfl
@[simp] theorem next?_cons (a l) : @next? α (a :: l) = some (a, l) := rfl
theorem get_eq_iff : List.get l n = x ↔ l.get? n.1 = some x := by simp [get?_eq_some]
theorem get?_inj
(h₀ : i < xs.length) (h₁ : Nodup xs) (h₂ : xs.get? i = xs.get? j) : i = j := by
induction xs generalizing i j with
| nil => cases h₀
| cons x xs ih =>
match i, j with
| 0, 0 => rfl
| i+1, j+1 => simp; cases h₁ with
| cons ha h₁ => exact ih (Nat.lt_of_succ_lt_succ h₀) h₁ h₂
| i+1, 0 => ?_ | 0, j+1 => ?_
all_goals
simp at h₂
cases h₁; rename_i h' h
have := h x ?_ rfl; cases this
rw [mem_iff_get?]
exact ⟨_, h₂⟩; exact ⟨_ , h₂.symm⟩
theorem tail_drop (l : List α) (n : Nat) : (l.drop n).tail = l.drop (n + 1) := by
induction l generalizing n with
| nil => simp
| cons hd tl hl =>
cases n
· simp
· simp [hl]
@[simp] theorem modifyNth_nil (f : α → α) (n) : [].modifyNth f n = [] := by cases n <;> rfl
@[simp] theorem modifyNth_zero_cons (f : α → α) (a : α) (l : List α) :
(a :: l).modifyNth f 0 = f a :: l := rfl
@[simp] theorem modifyNth_succ_cons (f : α → α) (a : α) (l : List α) (n) :
(a :: l).modifyNth f (n + 1) = a :: l.modifyNth f n := by rfl
theorem modifyNthTail_id : ∀ n (l : List α), l.modifyNthTail id n = l
| 0, _ => rfl
| _+1, [] => rfl
| n+1, a :: l => congrArg (cons a) (modifyNthTail_id n l)
theorem eraseIdx_eq_modifyNthTail : ∀ n (l : List α), eraseIdx l n = modifyNthTail tail n l
| 0, l => by cases l <;> rfl
| n+1, [] => rfl
| n+1, a :: l => congrArg (cons _) (eraseIdx_eq_modifyNthTail _ _)
@[deprecated] alias removeNth_eq_nth_tail := eraseIdx_eq_modifyNthTail
theorem get?_modifyNth (f : α → α) :
∀ n (l : List α) m, (modifyNth f n l).get? m = (fun a => if n = m then f a else a) <$> l.get? m
| n, l, 0 => by cases l <;> cases n <;> rfl
| n, [], _+1 => by cases n <;> rfl
| 0, _ :: l, m+1 => by cases h : l.get? m <;> simp [h, modifyNth, m.succ_ne_zero.symm]
| n+1, a :: l, m+1 =>
(get?_modifyNth f n l m).trans <| by
cases h' : l.get? m <;> by_cases h : n = m <;>
simp [h, if_pos, if_neg, Option.map, mt Nat.succ.inj, not_false_iff, h']
theorem modifyNthTail_length (f : List α → List α) (H : ∀ l, length (f l) = length l) :
∀ n l, length (modifyNthTail f n l) = length l
| 0, _ => H _
| _+1, [] => rfl
| _+1, _ :: _ => congrArg (·+1) (modifyNthTail_length _ H _ _)
theorem modifyNthTail_add (f : List α → List α) (n) (l₁ l₂ : List α) :
modifyNthTail f (l₁.length + n) (l₁ ++ l₂) = l₁ ++ modifyNthTail f n l₂ := by
induction l₁ <;> simp [*, Nat.succ_add]
theorem exists_of_modifyNthTail (f : List α → List α) {n} {l : List α} (h : n ≤ l.length) :
∃ l₁ l₂, l = l₁ ++ l₂ ∧ l₁.length = n ∧ modifyNthTail f n l = l₁ ++ f l₂ :=
have ⟨_, _, eq, hl⟩ : ∃ l₁ l₂, l = l₁ ++ l₂ ∧ l₁.length = n :=
⟨_, _, (take_append_drop n l).symm, length_take_of_le h⟩
⟨_, _, eq, hl, hl ▸ eq ▸ modifyNthTail_add (n := 0) ..⟩
@[simp] theorem modify_get?_length (f : α → α) : ∀ n l, length (modifyNth f n l) = length l :=
modifyNthTail_length _ fun l => by cases l <;> rfl
@[simp] theorem get?_modifyNth_eq (f : α → α) (n) (l : List α) :
(modifyNth f n l).get? n = f <$> l.get? n := by
simp only [get?_modifyNth, if_pos]
@[simp] theorem get?_modifyNth_ne (f : α → α) {m n} (l : List α) (h : m ≠ n) :
(modifyNth f m l).get? n = l.get? n := by
simp only [get?_modifyNth, if_neg h, id_map']
theorem exists_of_modifyNth (f : α → α) {n} {l : List α} (h : n < l.length) :
∃ l₁ a l₂, l = l₁ ++ a :: l₂ ∧ l₁.length = n ∧ modifyNth f n l = l₁ ++ f a :: l₂ :=
match exists_of_modifyNthTail _ (Nat.le_of_lt h) with
| ⟨_, _::_, eq, hl, H⟩ => ⟨_, _, _, eq, hl, H⟩
| ⟨_, [], eq, hl, _⟩ => nomatch Nat.ne_of_gt h (eq ▸ append_nil _ ▸ hl)
theorem modifyNthTail_eq_take_drop (f : List α → List α) (H : f [] = []) :
∀ n l, modifyNthTail f n l = take n l ++ f (drop n l)
| 0, _ => rfl
| _ + 1, [] => H.symm
| n + 1, b :: l => congrArg (cons b) (modifyNthTail_eq_take_drop f H n l)
theorem modifyNth_eq_take_drop (f : α → α) :
∀ n l, modifyNth f n l = take n l ++ modifyHead f (drop n l) :=
modifyNthTail_eq_take_drop _ rfl
| .lake/packages/batteries/Batteries/Data/List/Lemmas.lean | 350 | 352 | theorem modifyNth_eq_take_cons_drop (f : α → α) {n l} (h) :
modifyNth f n l = take n l ++ f (get l ⟨n, h⟩) :: drop (n + 1) l := by |
rw [modifyNth_eq_take_drop, drop_eq_get_cons h]; rfl
|
import Mathlib.Data.Finsupp.Multiset
import Mathlib.Data.Nat.GCD.BigOperators
import Mathlib.Data.Nat.PrimeFin
import Mathlib.NumberTheory.Padics.PadicVal
import Mathlib.Order.Interval.Finset.Nat
#align_import data.nat.factorization.basic from "leanprover-community/mathlib"@"f694c7dead66f5d4c80f446c796a5aad14707f0e"
-- Workaround for lean4#2038
attribute [-instance] instBEqNat
open Nat Finset List Finsupp
namespace Nat
variable {a b m n p : ℕ}
def factorization (n : ℕ) : ℕ →₀ ℕ where
support := n.primeFactors
toFun p := if p.Prime then padicValNat p n else 0
mem_support_toFun := by simp [not_or]; aesop
#align nat.factorization Nat.factorization
@[simp] lemma support_factorization (n : ℕ) : (factorization n).support = n.primeFactors := rfl
theorem factorization_def (n : ℕ) {p : ℕ} (pp : p.Prime) : n.factorization p = padicValNat p n := by
simpa [factorization] using absurd pp
#align nat.factorization_def Nat.factorization_def
@[simp]
theorem factors_count_eq {n p : ℕ} : n.factors.count p = n.factorization p := by
rcases n.eq_zero_or_pos with (rfl | hn0)
· simp [factorization, count]
if pp : p.Prime then ?_ else
rw [count_eq_zero_of_not_mem (mt prime_of_mem_factors pp)]
simp [factorization, pp]
simp only [factorization_def _ pp]
apply _root_.le_antisymm
· rw [le_padicValNat_iff_replicate_subperm_factors pp hn0.ne']
exact List.le_count_iff_replicate_sublist.mp le_rfl |>.subperm
· rw [← lt_add_one_iff, lt_iff_not_ge, ge_iff_le,
le_padicValNat_iff_replicate_subperm_factors pp hn0.ne']
intro h
have := h.count_le p
simp at this
#align nat.factors_count_eq Nat.factors_count_eq
theorem factorization_eq_factors_multiset (n : ℕ) :
n.factorization = Multiset.toFinsupp (n.factors : Multiset ℕ) := by
ext p
simp
#align nat.factorization_eq_factors_multiset Nat.factorization_eq_factors_multiset
theorem multiplicity_eq_factorization {n p : ℕ} (pp : p.Prime) (hn : n ≠ 0) :
multiplicity p n = n.factorization p := by
simp [factorization, pp, padicValNat_def' pp.ne_one hn.bot_lt]
#align nat.multiplicity_eq_factorization Nat.multiplicity_eq_factorization
@[simp]
theorem factorization_prod_pow_eq_self {n : ℕ} (hn : n ≠ 0) : n.factorization.prod (· ^ ·) = n := by
rw [factorization_eq_factors_multiset n]
simp only [← prod_toMultiset, factorization, Multiset.prod_coe, Multiset.toFinsupp_toMultiset]
exact prod_factors hn
#align nat.factorization_prod_pow_eq_self Nat.factorization_prod_pow_eq_self
theorem eq_of_factorization_eq {a b : ℕ} (ha : a ≠ 0) (hb : b ≠ 0)
(h : ∀ p : ℕ, a.factorization p = b.factorization p) : a = b :=
eq_of_perm_factors ha hb (by simpa only [List.perm_iff_count, factors_count_eq] using h)
#align nat.eq_of_factorization_eq Nat.eq_of_factorization_eq
theorem factorization_inj : Set.InjOn factorization { x : ℕ | x ≠ 0 } := fun a ha b hb h =>
eq_of_factorization_eq ha hb fun p => by simp [h]
#align nat.factorization_inj Nat.factorization_inj
@[simp]
theorem factorization_zero : factorization 0 = 0 := by ext; simp [factorization]
#align nat.factorization_zero Nat.factorization_zero
@[simp]
theorem factorization_one : factorization 1 = 0 := by ext; simp [factorization]
#align nat.factorization_one Nat.factorization_one
#noalign nat.support_factorization
#align nat.factor_iff_mem_factorization Nat.mem_primeFactors_iff_mem_factors
#align nat.prime_of_mem_factorization Nat.prime_of_mem_primeFactors
#align nat.pos_of_mem_factorization Nat.pos_of_mem_primeFactors
#align nat.le_of_mem_factorization Nat.le_of_mem_primeFactors
theorem factorization_eq_zero_iff (n p : ℕ) :
n.factorization p = 0 ↔ ¬p.Prime ∨ ¬p ∣ n ∨ n = 0 := by
simp_rw [← not_mem_support_iff, support_factorization, mem_primeFactors, not_and_or, not_ne_iff]
#align nat.factorization_eq_zero_iff Nat.factorization_eq_zero_iff
@[simp]
theorem factorization_eq_zero_of_non_prime (n : ℕ) {p : ℕ} (hp : ¬p.Prime) :
n.factorization p = 0 := by simp [factorization_eq_zero_iff, hp]
#align nat.factorization_eq_zero_of_non_prime Nat.factorization_eq_zero_of_non_prime
theorem factorization_eq_zero_of_not_dvd {n p : ℕ} (h : ¬p ∣ n) : n.factorization p = 0 := by
simp [factorization_eq_zero_iff, h]
#align nat.factorization_eq_zero_of_not_dvd Nat.factorization_eq_zero_of_not_dvd
theorem factorization_eq_zero_of_lt {n p : ℕ} (h : n < p) : n.factorization p = 0 :=
Finsupp.not_mem_support_iff.mp (mt le_of_mem_primeFactors (not_le_of_lt h))
#align nat.factorization_eq_zero_of_lt Nat.factorization_eq_zero_of_lt
@[simp]
theorem factorization_zero_right (n : ℕ) : n.factorization 0 = 0 :=
factorization_eq_zero_of_non_prime _ not_prime_zero
#align nat.factorization_zero_right Nat.factorization_zero_right
@[simp]
theorem factorization_one_right (n : ℕ) : n.factorization 1 = 0 :=
factorization_eq_zero_of_non_prime _ not_prime_one
#align nat.factorization_one_right Nat.factorization_one_right
theorem dvd_of_factorization_pos {n p : ℕ} (hn : n.factorization p ≠ 0) : p ∣ n :=
dvd_of_mem_factors <| mem_primeFactors_iff_mem_factors.1 <| mem_support_iff.2 hn
#align nat.dvd_of_factorization_pos Nat.dvd_of_factorization_pos
theorem Prime.factorization_pos_of_dvd {n p : ℕ} (hp : p.Prime) (hn : n ≠ 0) (h : p ∣ n) :
0 < n.factorization p := by
rwa [← factors_count_eq, count_pos_iff_mem, mem_factors_iff_dvd hn hp]
#align nat.prime.factorization_pos_of_dvd Nat.Prime.factorization_pos_of_dvd
theorem factorization_eq_zero_of_remainder {p r : ℕ} (i : ℕ) (hr : ¬p ∣ r) :
(p * i + r).factorization p = 0 := by
apply factorization_eq_zero_of_not_dvd
rwa [← Nat.dvd_add_iff_right (Dvd.intro i rfl)]
#align nat.factorization_eq_zero_of_remainder Nat.factorization_eq_zero_of_remainder
theorem factorization_eq_zero_iff_remainder {p r : ℕ} (i : ℕ) (pp : p.Prime) (hr0 : r ≠ 0) :
¬p ∣ r ↔ (p * i + r).factorization p = 0 := by
refine ⟨factorization_eq_zero_of_remainder i, fun h => ?_⟩
rw [factorization_eq_zero_iff] at h
contrapose! h
refine ⟨pp, ?_, ?_⟩
· rwa [← Nat.dvd_add_iff_right (dvd_mul_right p i)]
· contrapose! hr0
exact (add_eq_zero_iff.mp hr0).2
#align nat.factorization_eq_zero_iff_remainder Nat.factorization_eq_zero_iff_remainder
theorem factorization_eq_zero_iff' (n : ℕ) : n.factorization = 0 ↔ n = 0 ∨ n = 1 := by
rw [factorization_eq_factors_multiset n]
simp [factorization, AddEquiv.map_eq_zero_iff, Multiset.coe_eq_zero]
#align nat.factorization_eq_zero_iff' Nat.factorization_eq_zero_iff'
@[simp]
theorem factorization_mul {a b : ℕ} (ha : a ≠ 0) (hb : b ≠ 0) :
(a * b).factorization = a.factorization + b.factorization := by
ext p
simp only [add_apply, ← factors_count_eq, perm_iff_count.mp (perm_factors_mul ha hb) p,
count_append]
#align nat.factorization_mul Nat.factorization_mul
#align nat.factorization_mul_support Nat.primeFactors_mul
lemma prod_factorization_eq_prod_primeFactors {β : Type*} [CommMonoid β] (f : ℕ → ℕ → β) :
n.factorization.prod f = ∏ p ∈ n.primeFactors, f p (n.factorization p) := rfl
#align nat.prod_factorization_eq_prod_factors Nat.prod_factorization_eq_prod_primeFactors
lemma prod_primeFactors_prod_factorization {β : Type*} [CommMonoid β] (f : ℕ → β) :
∏ p ∈ n.primeFactors, f p = n.factorization.prod (fun p _ ↦ f p) := rfl
| Mathlib/Data/Nat/Factorization/Basic.lean | 219 | 227 | theorem factorization_prod {α : Type*} {S : Finset α} {g : α → ℕ} (hS : ∀ x ∈ S, g x ≠ 0) :
(S.prod g).factorization = S.sum fun x => (g x).factorization := by |
classical
ext p
refine Finset.induction_on' S ?_ ?_
· simp
· intro x T hxS hTS hxT IH
have hT : T.prod g ≠ 0 := prod_ne_zero_iff.mpr fun x hx => hS x (hTS hx)
simp [prod_insert hxT, sum_insert hxT, ← IH, factorization_mul (hS x hxS) hT]
|
import Mathlib.Analysis.Asymptotics.AsymptoticEquivalent
import Mathlib.Analysis.Calculus.FDeriv.Linear
import Mathlib.Analysis.Calculus.FDeriv.Comp
#align_import analysis.calculus.fderiv.equiv from "leanprover-community/mathlib"@"e3fb84046afd187b710170887195d50bada934ee"
open Filter Asymptotics ContinuousLinearMap Set Metric
open scoped Classical
open Topology NNReal Filter Asymptotics ENNReal
noncomputable section
section
variable {𝕜 : Type*} [NontriviallyNormedField 𝕜]
variable {E : Type*} [NormedAddCommGroup E] [NormedSpace 𝕜 E]
variable {F : Type*} [NormedAddCommGroup F] [NormedSpace 𝕜 F]
variable {G : Type*} [NormedAddCommGroup G] [NormedSpace 𝕜 G]
variable {G' : Type*} [NormedAddCommGroup G'] [NormedSpace 𝕜 G']
variable {f f₀ f₁ g : E → F}
variable {f' f₀' f₁' g' : E →L[𝕜] F}
variable (e : E →L[𝕜] F)
variable {x : E}
variable {s t : Set E}
variable {L L₁ L₂ : Filter E}
| Mathlib/Analysis/Calculus/FDeriv/Equiv.lean | 391 | 410 | theorem HasStrictFDerivAt.of_local_left_inverse {f : E → F} {f' : E ≃L[𝕜] F} {g : F → E} {a : F}
(hg : ContinuousAt g a) (hf : HasStrictFDerivAt f (f' : E →L[𝕜] F) (g a))
(hfg : ∀ᶠ y in 𝓝 a, f (g y) = y) : HasStrictFDerivAt g (f'.symm : F →L[𝕜] E) a := by |
replace hg := hg.prod_map' hg
replace hfg := hfg.prod_mk_nhds hfg
have :
(fun p : F × F => g p.1 - g p.2 - f'.symm (p.1 - p.2)) =O[𝓝 (a, a)] fun p : F × F =>
f' (g p.1 - g p.2) - (p.1 - p.2) := by
refine ((f'.symm : F →L[𝕜] E).isBigO_comp _ _).congr (fun x => ?_) fun _ => rfl
simp
refine this.trans_isLittleO ?_
clear this
refine ((hf.comp_tendsto hg).symm.congr'
(hfg.mono ?_) (eventually_of_forall fun _ => rfl)).trans_isBigO ?_
· rintro p ⟨hp1, hp2⟩
simp [hp1, hp2]
· refine (hf.isBigO_sub_rev.comp_tendsto hg).congr' (eventually_of_forall fun _ => rfl)
(hfg.mono ?_)
rintro p ⟨hp1, hp2⟩
simp only [(· ∘ ·), hp1, hp2]
|
import Mathlib.Data.List.Basic
#align_import data.list.join from "leanprover-community/mathlib"@"18a5306c091183ac90884daa9373fa3b178e8607"
-- Make sure we don't import algebra
assert_not_exists Monoid
variable {α β : Type*}
namespace List
attribute [simp] join
-- Porting note (#10618): simp can prove this
-- @[simp]
theorem join_singleton (l : List α) : [l].join = l := by rw [join, join, append_nil]
#align list.join_singleton List.join_singleton
@[simp]
theorem join_eq_nil : ∀ {L : List (List α)}, join L = [] ↔ ∀ l ∈ L, l = []
| [] => iff_of_true rfl (forall_mem_nil _)
| l :: L => by simp only [join, append_eq_nil, join_eq_nil, forall_mem_cons]
#align list.join_eq_nil List.join_eq_nil
@[simp]
theorem join_append (L₁ L₂ : List (List α)) : join (L₁ ++ L₂) = join L₁ ++ join L₂ := by
induction L₁
· rfl
· simp [*]
#align list.join_append List.join_append
theorem join_concat (L : List (List α)) (l : List α) : join (L.concat l) = join L ++ l := by simp
#align list.join_concat List.join_concat
@[simp]
theorem join_filter_not_isEmpty :
∀ {L : List (List α)}, join (L.filter fun l => !l.isEmpty) = L.join
| [] => rfl
| [] :: L => by
simp [join_filter_not_isEmpty (L := L), isEmpty_iff_eq_nil]
| (a :: l) :: L => by
simp [join_filter_not_isEmpty (L := L)]
#align list.join_filter_empty_eq_ff List.join_filter_not_isEmpty
@[deprecated (since := "2024-02-25")] alias join_filter_isEmpty_eq_false := join_filter_not_isEmpty
@[simp]
theorem join_filter_ne_nil [DecidablePred fun l : List α => l ≠ []] {L : List (List α)} :
join (L.filter fun l => l ≠ []) = L.join := by
simp [join_filter_not_isEmpty, ← isEmpty_iff_eq_nil]
#align list.join_filter_ne_nil List.join_filter_ne_nil
theorem join_join (l : List (List (List α))) : l.join.join = (l.map join).join := by
induction l <;> simp [*]
#align list.join_join List.join_join
lemma length_join' (L : List (List α)) : length (join L) = Nat.sum (map length L) := by
induction L <;> [rfl; simp only [*, join, map, Nat.sum_cons, length_append]]
lemma countP_join' (p : α → Bool) :
∀ L : List (List α), countP p L.join = Nat.sum (L.map (countP p))
| [] => rfl
| a :: l => by rw [join, countP_append, map_cons, Nat.sum_cons, countP_join' _ l]
lemma count_join' [BEq α] (L : List (List α)) (a : α) :
L.join.count a = Nat.sum (L.map (count a)) := countP_join' _ _
lemma length_bind' (l : List α) (f : α → List β) :
length (l.bind f) = Nat.sum (map (length ∘ f) l) := by rw [List.bind, length_join', map_map]
lemma countP_bind' (p : β → Bool) (l : List α) (f : α → List β) :
countP p (l.bind f) = Nat.sum (map (countP p ∘ f) l) := by rw [List.bind, countP_join', map_map]
lemma count_bind' [BEq β] (l : List α) (f : α → List β) (x : β) :
count x (l.bind f) = Nat.sum (map (count x ∘ f) l) := countP_bind' _ _ _
@[simp]
theorem bind_eq_nil {l : List α} {f : α → List β} : List.bind l f = [] ↔ ∀ x ∈ l, f x = [] :=
join_eq_nil.trans <| by
simp only [mem_map, forall_exists_index, and_imp, forall_apply_eq_imp_iff₂]
#align list.bind_eq_nil List.bind_eq_nil
| Mathlib/Data/List/Join.lean | 105 | 109 | theorem take_sum_join' (L : List (List α)) (i : ℕ) :
L.join.take (Nat.sum ((L.map length).take i)) = (L.take i).join := by |
induction L generalizing i
· simp
· cases i <;> simp [take_append, *]
|
import Mathlib.Analysis.Normed.Group.Basic
import Mathlib.LinearAlgebra.AffineSpace.AffineSubspace
import Mathlib.LinearAlgebra.AffineSpace.Midpoint
#align_import analysis.normed.group.add_torsor from "leanprover-community/mathlib"@"837f72de63ad6cd96519cde5f1ffd5ed8d280ad0"
noncomputable section
open NNReal Topology
open Filter
class NormedAddTorsor (V : outParam Type*) (P : Type*) [SeminormedAddCommGroup V]
[PseudoMetricSpace P] extends AddTorsor V P where
dist_eq_norm' : ∀ x y : P, dist x y = ‖(x -ᵥ y : V)‖
#align normed_add_torsor NormedAddTorsor
instance (priority := 100) NormedAddTorsor.toAddTorsor' {V P : Type*} [NormedAddCommGroup V]
[MetricSpace P] [NormedAddTorsor V P] : AddTorsor V P :=
NormedAddTorsor.toAddTorsor
#align normed_add_torsor.to_add_torsor' NormedAddTorsor.toAddTorsor'
variable {α V P W Q : Type*} [SeminormedAddCommGroup V] [PseudoMetricSpace P] [NormedAddTorsor V P]
[NormedAddCommGroup W] [MetricSpace Q] [NormedAddTorsor W Q]
instance (priority := 100) NormedAddTorsor.to_isometricVAdd : IsometricVAdd V P :=
⟨fun c => Isometry.of_dist_eq fun x y => by
-- porting note (#10745): was `simp [NormedAddTorsor.dist_eq_norm']`
rw [NormedAddTorsor.dist_eq_norm', NormedAddTorsor.dist_eq_norm', vadd_vsub_vadd_cancel_left]⟩
#align normed_add_torsor.to_has_isometric_vadd NormedAddTorsor.to_isometricVAdd
instance (priority := 100) SeminormedAddCommGroup.toNormedAddTorsor : NormedAddTorsor V V where
dist_eq_norm' := dist_eq_norm
#align seminormed_add_comm_group.to_normed_add_torsor SeminormedAddCommGroup.toNormedAddTorsor
-- Because of the AddTorsor.nonempty instance.
instance AffineSubspace.toNormedAddTorsor {R : Type*} [Ring R] [Module R V]
(s : AffineSubspace R P) [Nonempty s] : NormedAddTorsor s.direction s :=
{ AffineSubspace.toAddTorsor s with
dist_eq_norm' := fun x y => NormedAddTorsor.dist_eq_norm' x.val y.val }
#align affine_subspace.to_normed_add_torsor AffineSubspace.toNormedAddTorsor
section
variable (V W)
theorem dist_eq_norm_vsub (x y : P) : dist x y = ‖x -ᵥ y‖ :=
NormedAddTorsor.dist_eq_norm' x y
#align dist_eq_norm_vsub dist_eq_norm_vsub
theorem nndist_eq_nnnorm_vsub (x y : P) : nndist x y = ‖x -ᵥ y‖₊ :=
NNReal.eq <| dist_eq_norm_vsub V x y
#align nndist_eq_nnnorm_vsub nndist_eq_nnnorm_vsub
theorem dist_eq_norm_vsub' (x y : P) : dist x y = ‖y -ᵥ x‖ :=
(dist_comm _ _).trans (dist_eq_norm_vsub _ _ _)
#align dist_eq_norm_vsub' dist_eq_norm_vsub'
theorem nndist_eq_nnnorm_vsub' (x y : P) : nndist x y = ‖y -ᵥ x‖₊ :=
NNReal.eq <| dist_eq_norm_vsub' V x y
#align nndist_eq_nnnorm_vsub' nndist_eq_nnnorm_vsub'
end
theorem dist_vadd_cancel_left (v : V) (x y : P) : dist (v +ᵥ x) (v +ᵥ y) = dist x y :=
dist_vadd _ _ _
#align dist_vadd_cancel_left dist_vadd_cancel_left
-- Porting note (#10756): new theorem
theorem nndist_vadd_cancel_left (v : V) (x y : P) : nndist (v +ᵥ x) (v +ᵥ y) = nndist x y :=
NNReal.eq <| dist_vadd_cancel_left _ _ _
@[simp]
theorem dist_vadd_cancel_right (v₁ v₂ : V) (x : P) : dist (v₁ +ᵥ x) (v₂ +ᵥ x) = dist v₁ v₂ := by
rw [dist_eq_norm_vsub V, dist_eq_norm, vadd_vsub_vadd_cancel_right]
#align dist_vadd_cancel_right dist_vadd_cancel_right
@[simp]
theorem nndist_vadd_cancel_right (v₁ v₂ : V) (x : P) : nndist (v₁ +ᵥ x) (v₂ +ᵥ x) = nndist v₁ v₂ :=
NNReal.eq <| dist_vadd_cancel_right _ _ _
#align nndist_vadd_cancel_right nndist_vadd_cancel_right
@[simp]
theorem dist_vadd_left (v : V) (x : P) : dist (v +ᵥ x) x = ‖v‖ := by
-- porting note (#10745): was `simp [dist_eq_norm_vsub V _ x]`
rw [dist_eq_norm_vsub V _ x, vadd_vsub]
#align dist_vadd_left dist_vadd_left
@[simp]
theorem nndist_vadd_left (v : V) (x : P) : nndist (v +ᵥ x) x = ‖v‖₊ :=
NNReal.eq <| dist_vadd_left _ _
#align nndist_vadd_left nndist_vadd_left
@[simp]
theorem dist_vadd_right (v : V) (x : P) : dist x (v +ᵥ x) = ‖v‖ := by rw [dist_comm, dist_vadd_left]
#align dist_vadd_right dist_vadd_right
@[simp]
theorem nndist_vadd_right (v : V) (x : P) : nndist x (v +ᵥ x) = ‖v‖₊ :=
NNReal.eq <| dist_vadd_right _ _
#align nndist_vadd_right nndist_vadd_right
@[simps!]
def IsometryEquiv.vaddConst (x : P) : V ≃ᵢ P where
toEquiv := Equiv.vaddConst x
isometry_toFun := Isometry.of_dist_eq fun _ _ => dist_vadd_cancel_right _ _ _
#align isometry_equiv.vadd_const IsometryEquiv.vaddConst
@[simp]
theorem dist_vsub_cancel_left (x y z : P) : dist (x -ᵥ y) (x -ᵥ z) = dist y z := by
rw [dist_eq_norm, vsub_sub_vsub_cancel_left, dist_comm, dist_eq_norm_vsub V]
#align dist_vsub_cancel_left dist_vsub_cancel_left
-- Porting note (#10756): new theorem
@[simp]
theorem nndist_vsub_cancel_left (x y z : P) : nndist (x -ᵥ y) (x -ᵥ z) = nndist y z :=
NNReal.eq <| dist_vsub_cancel_left _ _ _
@[simps!]
def IsometryEquiv.constVSub (x : P) : P ≃ᵢ V where
toEquiv := Equiv.constVSub x
isometry_toFun := Isometry.of_dist_eq fun _ _ => dist_vsub_cancel_left _ _ _
#align isometry_equiv.const_vsub IsometryEquiv.constVSub
@[simp]
theorem dist_vsub_cancel_right (x y z : P) : dist (x -ᵥ z) (y -ᵥ z) = dist x y :=
(IsometryEquiv.vaddConst z).symm.dist_eq x y
#align dist_vsub_cancel_right dist_vsub_cancel_right
@[simp]
theorem nndist_vsub_cancel_right (x y z : P) : nndist (x -ᵥ z) (y -ᵥ z) = nndist x y :=
NNReal.eq <| dist_vsub_cancel_right _ _ _
#align nndist_vsub_cancel_right nndist_vsub_cancel_right
theorem dist_vadd_vadd_le (v v' : V) (p p' : P) :
dist (v +ᵥ p) (v' +ᵥ p') ≤ dist v v' + dist p p' := by
simpa using dist_triangle (v +ᵥ p) (v' +ᵥ p) (v' +ᵥ p')
#align dist_vadd_vadd_le dist_vadd_vadd_le
theorem nndist_vadd_vadd_le (v v' : V) (p p' : P) :
nndist (v +ᵥ p) (v' +ᵥ p') ≤ nndist v v' + nndist p p' :=
dist_vadd_vadd_le _ _ _ _
#align nndist_vadd_vadd_le nndist_vadd_vadd_le
theorem dist_vsub_vsub_le (p₁ p₂ p₃ p₄ : P) :
dist (p₁ -ᵥ p₂) (p₃ -ᵥ p₄) ≤ dist p₁ p₃ + dist p₂ p₄ := by
rw [dist_eq_norm, vsub_sub_vsub_comm, dist_eq_norm_vsub V, dist_eq_norm_vsub V]
exact norm_sub_le _ _
#align dist_vsub_vsub_le dist_vsub_vsub_le
theorem nndist_vsub_vsub_le (p₁ p₂ p₃ p₄ : P) :
nndist (p₁ -ᵥ p₂) (p₃ -ᵥ p₄) ≤ nndist p₁ p₃ + nndist p₂ p₄ := by
simp only [← NNReal.coe_le_coe, NNReal.coe_add, ← dist_nndist, dist_vsub_vsub_le]
#align nndist_vsub_vsub_le nndist_vsub_vsub_le
theorem edist_vadd_vadd_le (v v' : V) (p p' : P) :
edist (v +ᵥ p) (v' +ᵥ p') ≤ edist v v' + edist p p' := by
simp only [edist_nndist]
norm_cast -- Porting note: was apply_mod_cast
apply dist_vadd_vadd_le
#align edist_vadd_vadd_le edist_vadd_vadd_le
| Mathlib/Analysis/Normed/Group/AddTorsor.lean | 197 | 201 | theorem edist_vsub_vsub_le (p₁ p₂ p₃ p₄ : P) :
edist (p₁ -ᵥ p₂) (p₃ -ᵥ p₄) ≤ edist p₁ p₃ + edist p₂ p₄ := by |
simp only [edist_nndist]
norm_cast -- Porting note: was apply_mod_cast
apply dist_vsub_vsub_le
|
import Mathlib.Data.Set.Image
import Mathlib.Order.SuccPred.Relation
import Mathlib.Topology.Clopen
import Mathlib.Topology.Irreducible
#align_import topology.connected from "leanprover-community/mathlib"@"d101e93197bb5f6ea89bd7ba386b7f7dff1f3903"
open Set Function Topology TopologicalSpace Relation
open scoped Classical
universe u v
variable {α : Type u} {β : Type v} {ι : Type*} {π : ι → Type*} [TopologicalSpace α]
{s t u v : Set α}
section Preconnected
def IsPreconnected (s : Set α) : Prop :=
∀ u v : Set α, IsOpen u → IsOpen v → s ⊆ u ∪ v → (s ∩ u).Nonempty → (s ∩ v).Nonempty →
(s ∩ (u ∩ v)).Nonempty
#align is_preconnected IsPreconnected
def IsConnected (s : Set α) : Prop :=
s.Nonempty ∧ IsPreconnected s
#align is_connected IsConnected
theorem IsConnected.nonempty {s : Set α} (h : IsConnected s) : s.Nonempty :=
h.1
#align is_connected.nonempty IsConnected.nonempty
theorem IsConnected.isPreconnected {s : Set α} (h : IsConnected s) : IsPreconnected s :=
h.2
#align is_connected.is_preconnected IsConnected.isPreconnected
theorem IsPreirreducible.isPreconnected {s : Set α} (H : IsPreirreducible s) : IsPreconnected s :=
fun _ _ hu hv _ => H _ _ hu hv
#align is_preirreducible.is_preconnected IsPreirreducible.isPreconnected
theorem IsIrreducible.isConnected {s : Set α} (H : IsIrreducible s) : IsConnected s :=
⟨H.nonempty, H.isPreirreducible.isPreconnected⟩
#align is_irreducible.is_connected IsIrreducible.isConnected
theorem isPreconnected_empty : IsPreconnected (∅ : Set α) :=
isPreirreducible_empty.isPreconnected
#align is_preconnected_empty isPreconnected_empty
theorem isConnected_singleton {x} : IsConnected ({x} : Set α) :=
isIrreducible_singleton.isConnected
#align is_connected_singleton isConnected_singleton
theorem isPreconnected_singleton {x} : IsPreconnected ({x} : Set α) :=
isConnected_singleton.isPreconnected
#align is_preconnected_singleton isPreconnected_singleton
theorem Set.Subsingleton.isPreconnected {s : Set α} (hs : s.Subsingleton) : IsPreconnected s :=
hs.induction_on isPreconnected_empty fun _ => isPreconnected_singleton
#align set.subsingleton.is_preconnected Set.Subsingleton.isPreconnected
theorem isPreconnected_of_forall {s : Set α} (x : α)
(H : ∀ y ∈ s, ∃ t, t ⊆ s ∧ x ∈ t ∧ y ∈ t ∧ IsPreconnected t) : IsPreconnected s := by
rintro u v hu hv hs ⟨z, zs, zu⟩ ⟨y, ys, yv⟩
have xs : x ∈ s := by
rcases H y ys with ⟨t, ts, xt, -, -⟩
exact ts xt
-- Porting note (#11215): TODO: use `wlog xu : x ∈ u := hs xs using u v y z, v u z y`
cases hs xs with
| inl xu =>
rcases H y ys with ⟨t, ts, xt, yt, ht⟩
have := ht u v hu hv (ts.trans hs) ⟨x, xt, xu⟩ ⟨y, yt, yv⟩
exact this.imp fun z hz => ⟨ts hz.1, hz.2⟩
| inr xv =>
rcases H z zs with ⟨t, ts, xt, zt, ht⟩
have := ht v u hv hu (ts.trans <| by rwa [union_comm]) ⟨x, xt, xv⟩ ⟨z, zt, zu⟩
exact this.imp fun _ h => ⟨ts h.1, h.2.2, h.2.1⟩
#align is_preconnected_of_forall isPreconnected_of_forall
theorem isPreconnected_of_forall_pair {s : Set α}
(H : ∀ x ∈ s, ∀ y ∈ s, ∃ t, t ⊆ s ∧ x ∈ t ∧ y ∈ t ∧ IsPreconnected t) :
IsPreconnected s := by
rcases eq_empty_or_nonempty s with (rfl | ⟨x, hx⟩)
exacts [isPreconnected_empty, isPreconnected_of_forall x fun y => H x hx y]
#align is_preconnected_of_forall_pair isPreconnected_of_forall_pair
theorem isPreconnected_sUnion (x : α) (c : Set (Set α)) (H1 : ∀ s ∈ c, x ∈ s)
(H2 : ∀ s ∈ c, IsPreconnected s) : IsPreconnected (⋃₀ c) := by
apply isPreconnected_of_forall x
rintro y ⟨s, sc, ys⟩
exact ⟨s, subset_sUnion_of_mem sc, H1 s sc, ys, H2 s sc⟩
#align is_preconnected_sUnion isPreconnected_sUnion
theorem isPreconnected_iUnion {ι : Sort*} {s : ι → Set α} (h₁ : (⋂ i, s i).Nonempty)
(h₂ : ∀ i, IsPreconnected (s i)) : IsPreconnected (⋃ i, s i) :=
Exists.elim h₁ fun f hf => isPreconnected_sUnion f _ hf (forall_mem_range.2 h₂)
#align is_preconnected_Union isPreconnected_iUnion
theorem IsPreconnected.union (x : α) {s t : Set α} (H1 : x ∈ s) (H2 : x ∈ t) (H3 : IsPreconnected s)
(H4 : IsPreconnected t) : IsPreconnected (s ∪ t) :=
sUnion_pair s t ▸ isPreconnected_sUnion x {s, t} (by rintro r (rfl | rfl | h) <;> assumption)
(by rintro r (rfl | rfl | h) <;> assumption)
#align is_preconnected.union IsPreconnected.union
theorem IsPreconnected.union' {s t : Set α} (H : (s ∩ t).Nonempty) (hs : IsPreconnected s)
(ht : IsPreconnected t) : IsPreconnected (s ∪ t) := by
rcases H with ⟨x, hxs, hxt⟩
exact hs.union x hxs hxt ht
#align is_preconnected.union' IsPreconnected.union'
theorem IsConnected.union {s t : Set α} (H : (s ∩ t).Nonempty) (Hs : IsConnected s)
(Ht : IsConnected t) : IsConnected (s ∪ t) := by
rcases H with ⟨x, hx⟩
refine ⟨⟨x, mem_union_left t (mem_of_mem_inter_left hx)⟩, ?_⟩
exact Hs.isPreconnected.union x (mem_of_mem_inter_left hx) (mem_of_mem_inter_right hx)
Ht.isPreconnected
#align is_connected.union IsConnected.union
theorem IsPreconnected.sUnion_directed {S : Set (Set α)} (K : DirectedOn (· ⊆ ·) S)
(H : ∀ s ∈ S, IsPreconnected s) : IsPreconnected (⋃₀ S) := by
rintro u v hu hv Huv ⟨a, ⟨s, hsS, has⟩, hau⟩ ⟨b, ⟨t, htS, hbt⟩, hbv⟩
obtain ⟨r, hrS, hsr, htr⟩ : ∃ r ∈ S, s ⊆ r ∧ t ⊆ r := K s hsS t htS
have Hnuv : (r ∩ (u ∩ v)).Nonempty :=
H _ hrS u v hu hv ((subset_sUnion_of_mem hrS).trans Huv) ⟨a, hsr has, hau⟩ ⟨b, htr hbt, hbv⟩
have Kruv : r ∩ (u ∩ v) ⊆ ⋃₀ S ∩ (u ∩ v) := inter_subset_inter_left _ (subset_sUnion_of_mem hrS)
exact Hnuv.mono Kruv
#align is_preconnected.sUnion_directed IsPreconnected.sUnion_directed
theorem IsPreconnected.biUnion_of_reflTransGen {ι : Type*} {t : Set ι} {s : ι → Set α}
(H : ∀ i ∈ t, IsPreconnected (s i))
(K : ∀ i, i ∈ t → ∀ j, j ∈ t → ReflTransGen (fun i j => (s i ∩ s j).Nonempty ∧ i ∈ t) i j) :
IsPreconnected (⋃ n ∈ t, s n) := by
let R := fun i j : ι => (s i ∩ s j).Nonempty ∧ i ∈ t
have P : ∀ i, i ∈ t → ∀ j, j ∈ t → ReflTransGen R i j →
∃ p, p ⊆ t ∧ i ∈ p ∧ j ∈ p ∧ IsPreconnected (⋃ j ∈ p, s j) := fun i hi j hj h => by
induction h with
| refl =>
refine ⟨{i}, singleton_subset_iff.mpr hi, mem_singleton i, mem_singleton i, ?_⟩
rw [biUnion_singleton]
exact H i hi
| @tail j k _ hjk ih =>
obtain ⟨p, hpt, hip, hjp, hp⟩ := ih hjk.2
refine ⟨insert k p, insert_subset_iff.mpr ⟨hj, hpt⟩, mem_insert_of_mem k hip,
mem_insert k p, ?_⟩
rw [biUnion_insert]
refine (H k hj).union' (hjk.1.mono ?_) hp
rw [inter_comm]
exact inter_subset_inter_right _ (subset_biUnion_of_mem hjp)
refine isPreconnected_of_forall_pair ?_
intro x hx y hy
obtain ⟨i : ι, hi : i ∈ t, hxi : x ∈ s i⟩ := mem_iUnion₂.1 hx
obtain ⟨j : ι, hj : j ∈ t, hyj : y ∈ s j⟩ := mem_iUnion₂.1 hy
obtain ⟨p, hpt, hip, hjp, hp⟩ := P i hi j hj (K i hi j hj)
exact ⟨⋃ j ∈ p, s j, biUnion_subset_biUnion_left hpt, mem_biUnion hip hxi,
mem_biUnion hjp hyj, hp⟩
#align is_preconnected.bUnion_of_refl_trans_gen IsPreconnected.biUnion_of_reflTransGen
theorem IsConnected.biUnion_of_reflTransGen {ι : Type*} {t : Set ι} {s : ι → Set α}
(ht : t.Nonempty) (H : ∀ i ∈ t, IsConnected (s i))
(K : ∀ i, i ∈ t → ∀ j, j ∈ t → ReflTransGen (fun i j : ι => (s i ∩ s j).Nonempty ∧ i ∈ t) i j) :
IsConnected (⋃ n ∈ t, s n) :=
⟨nonempty_biUnion.2 <| ⟨ht.some, ht.some_mem, (H _ ht.some_mem).nonempty⟩,
IsPreconnected.biUnion_of_reflTransGen (fun i hi => (H i hi).isPreconnected) K⟩
#align is_connected.bUnion_of_refl_trans_gen IsConnected.biUnion_of_reflTransGen
theorem IsPreconnected.iUnion_of_reflTransGen {ι : Type*} {s : ι → Set α}
(H : ∀ i, IsPreconnected (s i))
(K : ∀ i j, ReflTransGen (fun i j : ι => (s i ∩ s j).Nonempty) i j) :
IsPreconnected (⋃ n, s n) := by
rw [← biUnion_univ]
exact IsPreconnected.biUnion_of_reflTransGen (fun i _ => H i) fun i _ j _ => by
simpa [mem_univ] using K i j
#align is_preconnected.Union_of_refl_trans_gen IsPreconnected.iUnion_of_reflTransGen
theorem IsConnected.iUnion_of_reflTransGen {ι : Type*} [Nonempty ι] {s : ι → Set α}
(H : ∀ i, IsConnected (s i))
(K : ∀ i j, ReflTransGen (fun i j : ι => (s i ∩ s j).Nonempty) i j) : IsConnected (⋃ n, s n) :=
⟨nonempty_iUnion.2 <| Nonempty.elim ‹_› fun i : ι => ⟨i, (H _).nonempty⟩,
IsPreconnected.iUnion_of_reflTransGen (fun i => (H i).isPreconnected) K⟩
#align is_connected.Union_of_refl_trans_gen IsConnected.iUnion_of_reflTransGen
protected theorem IsPreconnected.subset_closure {s : Set α} {t : Set α} (H : IsPreconnected s)
(Kst : s ⊆ t) (Ktcs : t ⊆ closure s) : IsPreconnected t :=
fun u v hu hv htuv ⟨_y, hyt, hyu⟩ ⟨_z, hzt, hzv⟩ =>
let ⟨p, hpu, hps⟩ := mem_closure_iff.1 (Ktcs hyt) u hu hyu
let ⟨q, hqv, hqs⟩ := mem_closure_iff.1 (Ktcs hzt) v hv hzv
let ⟨r, hrs, hruv⟩ := H u v hu hv (Subset.trans Kst htuv) ⟨p, hps, hpu⟩ ⟨q, hqs, hqv⟩
⟨r, Kst hrs, hruv⟩
#align is_preconnected.subset_closure IsPreconnected.subset_closure
protected theorem IsConnected.subset_closure {s : Set α} {t : Set α} (H : IsConnected s)
(Kst : s ⊆ t) (Ktcs : t ⊆ closure s) : IsConnected t :=
⟨Nonempty.mono Kst H.left, IsPreconnected.subset_closure H.right Kst Ktcs⟩
#align is_connected.subset_closure IsConnected.subset_closure
protected theorem IsPreconnected.closure {s : Set α} (H : IsPreconnected s) :
IsPreconnected (closure s) :=
IsPreconnected.subset_closure H subset_closure Subset.rfl
#align is_preconnected.closure IsPreconnected.closure
protected theorem IsConnected.closure {s : Set α} (H : IsConnected s) : IsConnected (closure s) :=
IsConnected.subset_closure H subset_closure <| Subset.rfl
#align is_connected.closure IsConnected.closure
protected theorem IsPreconnected.image [TopologicalSpace β] {s : Set α} (H : IsPreconnected s)
(f : α → β) (hf : ContinuousOn f s) : IsPreconnected (f '' s) := by
-- Unfold/destruct definitions in hypotheses
rintro u v hu hv huv ⟨_, ⟨x, xs, rfl⟩, xu⟩ ⟨_, ⟨y, ys, rfl⟩, yv⟩
rcases continuousOn_iff'.1 hf u hu with ⟨u', hu', u'_eq⟩
rcases continuousOn_iff'.1 hf v hv with ⟨v', hv', v'_eq⟩
-- Reformulate `huv : f '' s ⊆ u ∪ v` in terms of `u'` and `v'`
replace huv : s ⊆ u' ∪ v' := by
rw [image_subset_iff, preimage_union] at huv
replace huv := subset_inter huv Subset.rfl
rw [union_inter_distrib_right, u'_eq, v'_eq, ← union_inter_distrib_right] at huv
exact (subset_inter_iff.1 huv).1
-- Now `s ⊆ u' ∪ v'`, so we can apply `‹IsPreconnected s›`
obtain ⟨z, hz⟩ : (s ∩ (u' ∩ v')).Nonempty := by
refine H u' v' hu' hv' huv ⟨x, ?_⟩ ⟨y, ?_⟩ <;> rw [inter_comm]
exacts [u'_eq ▸ ⟨xu, xs⟩, v'_eq ▸ ⟨yv, ys⟩]
rw [← inter_self s, inter_assoc, inter_left_comm s u', ← inter_assoc, inter_comm s, inter_comm s,
← u'_eq, ← v'_eq] at hz
exact ⟨f z, ⟨z, hz.1.2, rfl⟩, hz.1.1, hz.2.1⟩
#align is_preconnected.image IsPreconnected.image
protected theorem IsConnected.image [TopologicalSpace β] {s : Set α} (H : IsConnected s) (f : α → β)
(hf : ContinuousOn f s) : IsConnected (f '' s) :=
⟨image_nonempty.mpr H.nonempty, H.isPreconnected.image f hf⟩
#align is_connected.image IsConnected.image
theorem isPreconnected_closed_iff {s : Set α} :
IsPreconnected s ↔ ∀ t t', IsClosed t → IsClosed t' →
s ⊆ t ∪ t' → (s ∩ t).Nonempty → (s ∩ t').Nonempty → (s ∩ (t ∩ t')).Nonempty :=
⟨by
rintro h t t' ht ht' htt' ⟨x, xs, xt⟩ ⟨y, ys, yt'⟩
rw [← not_disjoint_iff_nonempty_inter, ← subset_compl_iff_disjoint_right, compl_inter]
intro h'
have xt' : x ∉ t' := (h' xs).resolve_left (absurd xt)
have yt : y ∉ t := (h' ys).resolve_right (absurd yt')
have := h _ _ ht.isOpen_compl ht'.isOpen_compl h' ⟨y, ys, yt⟩ ⟨x, xs, xt'⟩
rw [← compl_union] at this
exact this.ne_empty htt'.disjoint_compl_right.inter_eq,
by
rintro h u v hu hv huv ⟨x, xs, xu⟩ ⟨y, ys, yv⟩
rw [← not_disjoint_iff_nonempty_inter, ← subset_compl_iff_disjoint_right, compl_inter]
intro h'
have xv : x ∉ v := (h' xs).elim (absurd xu) id
have yu : y ∉ u := (h' ys).elim id (absurd yv)
have := h _ _ hu.isClosed_compl hv.isClosed_compl h' ⟨y, ys, yu⟩ ⟨x, xs, xv⟩
rw [← compl_union] at this
exact this.ne_empty huv.disjoint_compl_right.inter_eq⟩
#align is_preconnected_closed_iff isPreconnected_closed_iff
theorem Inducing.isPreconnected_image [TopologicalSpace β] {s : Set α} {f : α → β}
(hf : Inducing f) : IsPreconnected (f '' s) ↔ IsPreconnected s := by
refine ⟨fun h => ?_, fun h => h.image _ hf.continuous.continuousOn⟩
rintro u v hu' hv' huv ⟨x, hxs, hxu⟩ ⟨y, hys, hyv⟩
rcases hf.isOpen_iff.1 hu' with ⟨u, hu, rfl⟩
rcases hf.isOpen_iff.1 hv' with ⟨v, hv, rfl⟩
replace huv : f '' s ⊆ u ∪ v := by rwa [image_subset_iff]
rcases h u v hu hv huv ⟨f x, mem_image_of_mem _ hxs, hxu⟩ ⟨f y, mem_image_of_mem _ hys, hyv⟩ with
⟨_, ⟨z, hzs, rfl⟩, hzuv⟩
exact ⟨z, hzs, hzuv⟩
#align inducing.is_preconnected_image Inducing.isPreconnected_image
theorem IsPreconnected.preimage_of_isOpenMap [TopologicalSpace β] {f : α → β} {s : Set β}
(hs : IsPreconnected s) (hinj : Function.Injective f) (hf : IsOpenMap f) (hsf : s ⊆ range f) :
IsPreconnected (f ⁻¹' s) := fun u v hu hv hsuv hsu hsv => by
replace hsf : f '' (f ⁻¹' s) = s := image_preimage_eq_of_subset hsf
obtain ⟨_, has, ⟨a, hau, rfl⟩, hav⟩ : (s ∩ (f '' u ∩ f '' v)).Nonempty := by
refine hs (f '' u) (f '' v) (hf u hu) (hf v hv) ?_ ?_ ?_
· simpa only [hsf, image_union] using image_subset f hsuv
· simpa only [image_preimage_inter] using hsu.image f
· simpa only [image_preimage_inter] using hsv.image f
· exact ⟨a, has, hau, hinj.mem_set_image.1 hav⟩
#align is_preconnected.preimage_of_open_map IsPreconnected.preimage_of_isOpenMap
theorem IsPreconnected.preimage_of_isClosedMap [TopologicalSpace β] {s : Set β}
(hs : IsPreconnected s) {f : α → β} (hinj : Function.Injective f) (hf : IsClosedMap f)
(hsf : s ⊆ range f) : IsPreconnected (f ⁻¹' s) :=
isPreconnected_closed_iff.2 fun u v hu hv hsuv hsu hsv => by
replace hsf : f '' (f ⁻¹' s) = s := image_preimage_eq_of_subset hsf
obtain ⟨_, has, ⟨a, hau, rfl⟩, hav⟩ : (s ∩ (f '' u ∩ f '' v)).Nonempty := by
refine isPreconnected_closed_iff.1 hs (f '' u) (f '' v) (hf u hu) (hf v hv) ?_ ?_ ?_
· simpa only [hsf, image_union] using image_subset f hsuv
· simpa only [image_preimage_inter] using hsu.image f
· simpa only [image_preimage_inter] using hsv.image f
· exact ⟨a, has, hau, hinj.mem_set_image.1 hav⟩
#align is_preconnected.preimage_of_closed_map IsPreconnected.preimage_of_isClosedMap
theorem IsConnected.preimage_of_isOpenMap [TopologicalSpace β] {s : Set β} (hs : IsConnected s)
{f : α → β} (hinj : Function.Injective f) (hf : IsOpenMap f) (hsf : s ⊆ range f) :
IsConnected (f ⁻¹' s) :=
⟨hs.nonempty.preimage' hsf, hs.isPreconnected.preimage_of_isOpenMap hinj hf hsf⟩
#align is_connected.preimage_of_open_map IsConnected.preimage_of_isOpenMap
theorem IsConnected.preimage_of_isClosedMap [TopologicalSpace β] {s : Set β} (hs : IsConnected s)
{f : α → β} (hinj : Function.Injective f) (hf : IsClosedMap f) (hsf : s ⊆ range f) :
IsConnected (f ⁻¹' s) :=
⟨hs.nonempty.preimage' hsf, hs.isPreconnected.preimage_of_isClosedMap hinj hf hsf⟩
#align is_connected.preimage_of_closed_map IsConnected.preimage_of_isClosedMap
theorem IsPreconnected.subset_or_subset (hu : IsOpen u) (hv : IsOpen v) (huv : Disjoint u v)
(hsuv : s ⊆ u ∪ v) (hs : IsPreconnected s) : s ⊆ u ∨ s ⊆ v := by
specialize hs u v hu hv hsuv
obtain hsu | hsu := (s ∩ u).eq_empty_or_nonempty
· exact Or.inr ((Set.disjoint_iff_inter_eq_empty.2 hsu).subset_right_of_subset_union hsuv)
· replace hs := mt (hs hsu)
simp_rw [Set.not_nonempty_iff_eq_empty, ← Set.disjoint_iff_inter_eq_empty,
disjoint_iff_inter_eq_empty.1 huv] at hs
exact Or.inl ((hs s.disjoint_empty).subset_left_of_subset_union hsuv)
#align is_preconnected.subset_or_subset IsPreconnected.subset_or_subset
theorem IsPreconnected.subset_left_of_subset_union (hu : IsOpen u) (hv : IsOpen v)
(huv : Disjoint u v) (hsuv : s ⊆ u ∪ v) (hsu : (s ∩ u).Nonempty) (hs : IsPreconnected s) :
s ⊆ u :=
Disjoint.subset_left_of_subset_union hsuv
(by
by_contra hsv
rw [not_disjoint_iff_nonempty_inter] at hsv
obtain ⟨x, _, hx⟩ := hs u v hu hv hsuv hsu hsv
exact Set.disjoint_iff.1 huv hx)
#align is_preconnected.subset_left_of_subset_union IsPreconnected.subset_left_of_subset_union
theorem IsPreconnected.subset_right_of_subset_union (hu : IsOpen u) (hv : IsOpen v)
(huv : Disjoint u v) (hsuv : s ⊆ u ∪ v) (hsv : (s ∩ v).Nonempty) (hs : IsPreconnected s) :
s ⊆ v :=
hs.subset_left_of_subset_union hv hu huv.symm (union_comm u v ▸ hsuv) hsv
#align is_preconnected.subset_right_of_subset_union IsPreconnected.subset_right_of_subset_union
-- Porting note: moved up
theorem IsPreconnected.subset_isClopen {s t : Set α} (hs : IsPreconnected s) (ht : IsClopen t)
(hne : (s ∩ t).Nonempty) : s ⊆ t :=
hs.subset_left_of_subset_union ht.isOpen ht.compl.isOpen disjoint_compl_right (by simp) hne
#align is_preconnected.subset_clopen IsPreconnected.subset_isClopen
theorem IsPreconnected.subset_of_closure_inter_subset (hs : IsPreconnected s) (hu : IsOpen u)
(h'u : (s ∩ u).Nonempty) (h : closure u ∩ s ⊆ u) : s ⊆ u := by
have A : s ⊆ u ∪ (closure u)ᶜ := by
intro x hx
by_cases xu : x ∈ u
· exact Or.inl xu
· right
intro h'x
exact xu (h (mem_inter h'x hx))
apply hs.subset_left_of_subset_union hu isClosed_closure.isOpen_compl _ A h'u
exact disjoint_compl_right.mono_right (compl_subset_compl.2 subset_closure)
#align is_preconnected.subset_of_closure_inter_subset IsPreconnected.subset_of_closure_inter_subset
theorem IsPreconnected.prod [TopologicalSpace β] {s : Set α} {t : Set β} (hs : IsPreconnected s)
(ht : IsPreconnected t) : IsPreconnected (s ×ˢ t) := by
apply isPreconnected_of_forall_pair
rintro ⟨a₁, b₁⟩ ⟨ha₁, hb₁⟩ ⟨a₂, b₂⟩ ⟨ha₂, hb₂⟩
refine ⟨Prod.mk a₁ '' t ∪ flip Prod.mk b₂ '' s, ?_, .inl ⟨b₁, hb₁, rfl⟩, .inr ⟨a₂, ha₂, rfl⟩, ?_⟩
· rintro _ (⟨y, hy, rfl⟩ | ⟨x, hx, rfl⟩)
exacts [⟨ha₁, hy⟩, ⟨hx, hb₂⟩]
· exact (ht.image _ (Continuous.Prod.mk _).continuousOn).union (a₁, b₂) ⟨b₂, hb₂, rfl⟩
⟨a₁, ha₁, rfl⟩ (hs.image _ (continuous_id.prod_mk continuous_const).continuousOn)
#align is_preconnected.prod IsPreconnected.prod
theorem IsConnected.prod [TopologicalSpace β] {s : Set α} {t : Set β} (hs : IsConnected s)
(ht : IsConnected t) : IsConnected (s ×ˢ t) :=
⟨hs.1.prod ht.1, hs.2.prod ht.2⟩
#align is_connected.prod IsConnected.prod
theorem isPreconnected_univ_pi [∀ i, TopologicalSpace (π i)] {s : ∀ i, Set (π i)}
(hs : ∀ i, IsPreconnected (s i)) : IsPreconnected (pi univ s) := by
rintro u v uo vo hsuv ⟨f, hfs, hfu⟩ ⟨g, hgs, hgv⟩
rcases exists_finset_piecewise_mem_of_mem_nhds (uo.mem_nhds hfu) g with ⟨I, hI⟩
induction' I using Finset.induction_on with i I _ ihI
· refine ⟨g, hgs, ⟨?_, hgv⟩⟩
simpa using hI
· rw [Finset.piecewise_insert] at hI
have := I.piecewise_mem_set_pi hfs hgs
refine (hsuv this).elim ihI fun h => ?_
set S := update (I.piecewise f g) i '' s i
have hsub : S ⊆ pi univ s := by
refine image_subset_iff.2 fun z hz => ?_
rwa [update_preimage_univ_pi]
exact fun j _ => this j trivial
have hconn : IsPreconnected S :=
(hs i).image _ (continuous_const.update i continuous_id).continuousOn
have hSu : (S ∩ u).Nonempty := ⟨_, mem_image_of_mem _ (hfs _ trivial), hI⟩
have hSv : (S ∩ v).Nonempty := ⟨_, ⟨_, this _ trivial, update_eq_self _ _⟩, h⟩
refine (hconn u v uo vo (hsub.trans hsuv) hSu hSv).mono ?_
exact inter_subset_inter_left _ hsub
#align is_preconnected_univ_pi isPreconnected_univ_pi
@[simp]
| Mathlib/Topology/Connected/Basic.lean | 503 | 508 | theorem isConnected_univ_pi [∀ i, TopologicalSpace (π i)] {s : ∀ i, Set (π i)} :
IsConnected (pi univ s) ↔ ∀ i, IsConnected (s i) := by |
simp only [IsConnected, ← univ_pi_nonempty_iff, forall_and, and_congr_right_iff]
refine fun hne => ⟨fun hc i => ?_, isPreconnected_univ_pi⟩
rw [← eval_image_univ_pi hne]
exact hc.image _ (continuous_apply _).continuousOn
|
import Mathlib.Algebra.GroupPower.IterateHom
import Mathlib.Analysis.SpecificLimits.Basic
import Mathlib.Order.Iterate
import Mathlib.Order.SemiconjSup
import Mathlib.Tactic.Monotonicity
import Mathlib.Topology.Order.MonotoneContinuity
#align_import dynamics.circle.rotation_number.translation_number from "leanprover-community/mathlib"@"f2ce6086713c78a7f880485f7917ea547a215982"
open scoped Classical
open Filter Set Int Topology
open Function hiding Commute
structure CircleDeg1Lift extends ℝ →o ℝ : Type where
map_add_one' : ∀ x, toFun (x + 1) = toFun x + 1
#align circle_deg1_lift CircleDeg1Lift
namespace CircleDeg1Lift
instance : FunLike CircleDeg1Lift ℝ ℝ where
coe f := f.toFun
coe_injective' | ⟨⟨_, _⟩, _⟩, ⟨⟨_, _⟩, _⟩, rfl => rfl
instance : OrderHomClass CircleDeg1Lift ℝ ℝ where
map_rel f _ _ h := f.monotone' h
@[simp] theorem coe_mk (f h) : ⇑(mk f h) = f := rfl
#align circle_deg1_lift.coe_mk CircleDeg1Lift.coe_mk
variable (f g : CircleDeg1Lift)
@[simp] theorem coe_toOrderHom : ⇑f.toOrderHom = f := rfl
protected theorem monotone : Monotone f := f.monotone'
#align circle_deg1_lift.monotone CircleDeg1Lift.monotone
@[mono] theorem mono {x y} (h : x ≤ y) : f x ≤ f y := f.monotone h
#align circle_deg1_lift.mono CircleDeg1Lift.mono
theorem strictMono_iff_injective : StrictMono f ↔ Injective f :=
f.monotone.strictMono_iff_injective
#align circle_deg1_lift.strict_mono_iff_injective CircleDeg1Lift.strictMono_iff_injective
@[simp]
theorem map_add_one : ∀ x, f (x + 1) = f x + 1 :=
f.map_add_one'
#align circle_deg1_lift.map_add_one CircleDeg1Lift.map_add_one
@[simp]
theorem map_one_add (x : ℝ) : f (1 + x) = 1 + f x := by rw [add_comm, map_add_one, add_comm 1]
#align circle_deg1_lift.map_one_add CircleDeg1Lift.map_one_add
#noalign circle_deg1_lift.coe_inj -- Use `DFunLike.coe_inj`
@[ext]
theorem ext ⦃f g : CircleDeg1Lift⦄ (h : ∀ x, f x = g x) : f = g :=
DFunLike.ext f g h
#align circle_deg1_lift.ext CircleDeg1Lift.ext
theorem ext_iff {f g : CircleDeg1Lift} : f = g ↔ ∀ x, f x = g x :=
DFunLike.ext_iff
#align circle_deg1_lift.ext_iff CircleDeg1Lift.ext_iff
instance : Monoid CircleDeg1Lift where
mul f g :=
{ toOrderHom := f.1.comp g.1
map_add_one' := fun x => by simp [map_add_one] }
one := ⟨.id, fun _ => rfl⟩
mul_one f := rfl
one_mul f := rfl
mul_assoc f₁ f₂ f₃ := DFunLike.coe_injective rfl
instance : Inhabited CircleDeg1Lift := ⟨1⟩
@[simp]
theorem coe_mul : ⇑(f * g) = f ∘ g :=
rfl
#align circle_deg1_lift.coe_mul CircleDeg1Lift.coe_mul
theorem mul_apply (x) : (f * g) x = f (g x) :=
rfl
#align circle_deg1_lift.mul_apply CircleDeg1Lift.mul_apply
@[simp]
theorem coe_one : ⇑(1 : CircleDeg1Lift) = id :=
rfl
#align circle_deg1_lift.coe_one CircleDeg1Lift.coe_one
instance unitsHasCoeToFun : CoeFun CircleDeg1Liftˣ fun _ => ℝ → ℝ :=
⟨fun f => ⇑(f : CircleDeg1Lift)⟩
#align circle_deg1_lift.units_has_coe_to_fun CircleDeg1Lift.unitsHasCoeToFun
#noalign circle_deg1_lift.units_coe -- now LHS = RHS
@[simp]
theorem units_inv_apply_apply (f : CircleDeg1Liftˣ) (x : ℝ) :
(f⁻¹ : CircleDeg1Liftˣ) (f x) = x := by simp only [← mul_apply, f.inv_mul, coe_one, id]
#align circle_deg1_lift.units_inv_apply_apply CircleDeg1Lift.units_inv_apply_apply
@[simp]
theorem units_apply_inv_apply (f : CircleDeg1Liftˣ) (x : ℝ) :
f ((f⁻¹ : CircleDeg1Liftˣ) x) = x := by simp only [← mul_apply, f.mul_inv, coe_one, id]
#align circle_deg1_lift.units_apply_inv_apply CircleDeg1Lift.units_apply_inv_apply
def toOrderIso : CircleDeg1Liftˣ →* ℝ ≃o ℝ where
toFun f :=
{ toFun := f
invFun := ⇑f⁻¹
left_inv := units_inv_apply_apply f
right_inv := units_apply_inv_apply f
map_rel_iff' := ⟨fun h => by simpa using mono (↑f⁻¹) h, mono f⟩ }
map_one' := rfl
map_mul' f g := rfl
#align circle_deg1_lift.to_order_iso CircleDeg1Lift.toOrderIso
@[simp]
theorem coe_toOrderIso (f : CircleDeg1Liftˣ) : ⇑(toOrderIso f) = f :=
rfl
#align circle_deg1_lift.coe_to_order_iso CircleDeg1Lift.coe_toOrderIso
@[simp]
theorem coe_toOrderIso_symm (f : CircleDeg1Liftˣ) :
⇑(toOrderIso f).symm = (f⁻¹ : CircleDeg1Liftˣ) :=
rfl
#align circle_deg1_lift.coe_to_order_iso_symm CircleDeg1Lift.coe_toOrderIso_symm
@[simp]
theorem coe_toOrderIso_inv (f : CircleDeg1Liftˣ) : ⇑(toOrderIso f)⁻¹ = (f⁻¹ : CircleDeg1Liftˣ) :=
rfl
#align circle_deg1_lift.coe_to_order_iso_inv CircleDeg1Lift.coe_toOrderIso_inv
theorem isUnit_iff_bijective {f : CircleDeg1Lift} : IsUnit f ↔ Bijective f :=
⟨fun ⟨u, h⟩ => h ▸ (toOrderIso u).bijective, fun h =>
Units.isUnit
{ val := f
inv :=
{ toFun := (Equiv.ofBijective f h).symm
monotone' := fun x y hxy =>
(f.strictMono_iff_injective.2 h.1).le_iff_le.1
(by simp only [Equiv.ofBijective_apply_symm_apply f h, hxy])
map_add_one' := fun x =>
h.1 <| by simp only [Equiv.ofBijective_apply_symm_apply f, f.map_add_one] }
val_inv := ext <| Equiv.ofBijective_apply_symm_apply f h
inv_val := ext <| Equiv.ofBijective_symm_apply_apply f h }⟩
#align circle_deg1_lift.is_unit_iff_bijective CircleDeg1Lift.isUnit_iff_bijective
theorem coe_pow : ∀ n : ℕ, ⇑(f ^ n) = f^[n]
| 0 => rfl
| n + 1 => by
ext x
simp [coe_pow n, pow_succ]
#align circle_deg1_lift.coe_pow CircleDeg1Lift.coe_pow
theorem semiconjBy_iff_semiconj {f g₁ g₂ : CircleDeg1Lift} :
SemiconjBy f g₁ g₂ ↔ Semiconj f g₁ g₂ :=
ext_iff
#align circle_deg1_lift.semiconj_by_iff_semiconj CircleDeg1Lift.semiconjBy_iff_semiconj
theorem commute_iff_commute {f g : CircleDeg1Lift} : Commute f g ↔ Function.Commute f g :=
ext_iff
#align circle_deg1_lift.commute_iff_commute CircleDeg1Lift.commute_iff_commute
def translate : Multiplicative ℝ →* CircleDeg1Liftˣ := MonoidHom.toHomUnits <|
{ toFun := fun x =>
⟨⟨fun y => Multiplicative.toAdd x + y, fun _ _ h => add_le_add_left h _⟩, fun _ =>
(add_assoc _ _ _).symm⟩
map_one' := ext <| zero_add
map_mul' := fun _ _ => ext <| add_assoc _ _ }
#align circle_deg1_lift.translate CircleDeg1Lift.translate
@[simp]
theorem translate_apply (x y : ℝ) : translate (Multiplicative.ofAdd x) y = x + y :=
rfl
#align circle_deg1_lift.translate_apply CircleDeg1Lift.translate_apply
@[simp]
theorem translate_inv_apply (x y : ℝ) : (translate <| Multiplicative.ofAdd x)⁻¹ y = -x + y :=
rfl
#align circle_deg1_lift.translate_inv_apply CircleDeg1Lift.translate_inv_apply
@[simp]
theorem translate_zpow (x : ℝ) (n : ℤ) :
translate (Multiplicative.ofAdd x) ^ n = translate (Multiplicative.ofAdd <| ↑n * x) := by
simp only [← zsmul_eq_mul, ofAdd_zsmul, MonoidHom.map_zpow]
#align circle_deg1_lift.translate_zpow CircleDeg1Lift.translate_zpow
@[simp]
theorem translate_pow (x : ℝ) (n : ℕ) :
translate (Multiplicative.ofAdd x) ^ n = translate (Multiplicative.ofAdd <| ↑n * x) :=
translate_zpow x n
#align circle_deg1_lift.translate_pow CircleDeg1Lift.translate_pow
@[simp]
theorem translate_iterate (x : ℝ) (n : ℕ) :
(translate (Multiplicative.ofAdd x))^[n] = translate (Multiplicative.ofAdd <| ↑n * x) := by
rw [← coe_pow, ← Units.val_pow_eq_pow_val, translate_pow]
#align circle_deg1_lift.translate_iterate CircleDeg1Lift.translate_iterate
theorem commute_nat_add (n : ℕ) : Function.Commute f (n + ·) := by
simpa only [nsmul_one, add_left_iterate] using Function.Commute.iterate_right f.map_one_add n
#align circle_deg1_lift.commute_nat_add CircleDeg1Lift.commute_nat_add
theorem commute_add_nat (n : ℕ) : Function.Commute f (· + n) := by
simp only [add_comm _ (n : ℝ), f.commute_nat_add n]
#align circle_deg1_lift.commute_add_nat CircleDeg1Lift.commute_add_nat
theorem commute_sub_nat (n : ℕ) : Function.Commute f (· - n) := by
simpa only [sub_eq_add_neg] using
(f.commute_add_nat n).inverses_right (Equiv.addRight _).right_inv (Equiv.addRight _).left_inv
#align circle_deg1_lift.commute_sub_nat CircleDeg1Lift.commute_sub_nat
theorem commute_add_int : ∀ n : ℤ, Function.Commute f (· + n)
| (n : ℕ) => f.commute_add_nat n
| -[n+1] => by simpa [sub_eq_add_neg] using f.commute_sub_nat (n + 1)
#align circle_deg1_lift.commute_add_int CircleDeg1Lift.commute_add_int
theorem commute_int_add (n : ℤ) : Function.Commute f (n + ·) := by
simpa only [add_comm _ (n : ℝ)] using f.commute_add_int n
#align circle_deg1_lift.commute_int_add CircleDeg1Lift.commute_int_add
theorem commute_sub_int (n : ℤ) : Function.Commute f (· - n) := by
simpa only [sub_eq_add_neg] using
(f.commute_add_int n).inverses_right (Equiv.addRight _).right_inv (Equiv.addRight _).left_inv
#align circle_deg1_lift.commute_sub_int CircleDeg1Lift.commute_sub_int
@[simp]
theorem map_int_add (m : ℤ) (x : ℝ) : f (m + x) = m + f x :=
f.commute_int_add m x
#align circle_deg1_lift.map_int_add CircleDeg1Lift.map_int_add
@[simp]
theorem map_add_int (x : ℝ) (m : ℤ) : f (x + m) = f x + m :=
f.commute_add_int m x
#align circle_deg1_lift.map_add_int CircleDeg1Lift.map_add_int
@[simp]
theorem map_sub_int (x : ℝ) (n : ℤ) : f (x - n) = f x - n :=
f.commute_sub_int n x
#align circle_deg1_lift.map_sub_int CircleDeg1Lift.map_sub_int
@[simp]
theorem map_add_nat (x : ℝ) (n : ℕ) : f (x + n) = f x + n :=
f.map_add_int x n
#align circle_deg1_lift.map_add_nat CircleDeg1Lift.map_add_nat
@[simp]
theorem map_nat_add (n : ℕ) (x : ℝ) : f (n + x) = n + f x :=
f.map_int_add n x
#align circle_deg1_lift.map_nat_add CircleDeg1Lift.map_nat_add
@[simp]
theorem map_sub_nat (x : ℝ) (n : ℕ) : f (x - n) = f x - n :=
f.map_sub_int x n
#align circle_deg1_lift.map_sub_nat CircleDeg1Lift.map_sub_nat
theorem map_int_of_map_zero (n : ℤ) : f n = f 0 + n := by rw [← f.map_add_int, zero_add]
#align circle_deg1_lift.map_int_of_map_zero CircleDeg1Lift.map_int_of_map_zero
@[simp]
theorem map_fract_sub_fract_eq (x : ℝ) : f (fract x) - fract x = f x - x := by
rw [Int.fract, f.map_sub_int, sub_sub_sub_cancel_right]
#align circle_deg1_lift.map_fract_sub_fract_eq CircleDeg1Lift.map_fract_sub_fract_eq
noncomputable instance : Lattice CircleDeg1Lift where
sup f g :=
{ toFun := fun x => max (f x) (g x)
monotone' := fun x y h => max_le_max (f.mono h) (g.mono h)
-- TODO: generalize to `Monotone.max`
map_add_one' := fun x => by simp [max_add_add_right] }
le f g := ∀ x, f x ≤ g x
le_refl f x := le_refl (f x)
le_trans f₁ f₂ f₃ h₁₂ h₂₃ x := le_trans (h₁₂ x) (h₂₃ x)
le_antisymm f₁ f₂ h₁₂ h₂₁ := ext fun x => le_antisymm (h₁₂ x) (h₂₁ x)
le_sup_left f g x := le_max_left (f x) (g x)
le_sup_right f g x := le_max_right (f x) (g x)
sup_le f₁ f₂ f₃ h₁ h₂ x := max_le (h₁ x) (h₂ x)
inf f g :=
{ toFun := fun x => min (f x) (g x)
monotone' := fun x y h => min_le_min (f.mono h) (g.mono h)
map_add_one' := fun x => by simp [min_add_add_right] }
inf_le_left f g x := min_le_left (f x) (g x)
inf_le_right f g x := min_le_right (f x) (g x)
le_inf f₁ f₂ f₃ h₂ h₃ x := le_min (h₂ x) (h₃ x)
@[simp]
theorem sup_apply (x : ℝ) : (f ⊔ g) x = max (f x) (g x) :=
rfl
#align circle_deg1_lift.sup_apply CircleDeg1Lift.sup_apply
@[simp]
theorem inf_apply (x : ℝ) : (f ⊓ g) x = min (f x) (g x) :=
rfl
#align circle_deg1_lift.inf_apply CircleDeg1Lift.inf_apply
theorem iterate_monotone (n : ℕ) : Monotone fun f : CircleDeg1Lift => f^[n] := fun f _ h =>
f.monotone.iterate_le_of_le h _
#align circle_deg1_lift.iterate_monotone CircleDeg1Lift.iterate_monotone
theorem iterate_mono {f g : CircleDeg1Lift} (h : f ≤ g) (n : ℕ) : f^[n] ≤ g^[n] :=
iterate_monotone n h
#align circle_deg1_lift.iterate_mono CircleDeg1Lift.iterate_mono
theorem pow_mono {f g : CircleDeg1Lift} (h : f ≤ g) (n : ℕ) : f ^ n ≤ g ^ n := fun x => by
simp only [coe_pow, iterate_mono h n x]
#align circle_deg1_lift.pow_mono CircleDeg1Lift.pow_mono
theorem pow_monotone (n : ℕ) : Monotone fun f : CircleDeg1Lift => f ^ n := fun _ _ h => pow_mono h n
#align circle_deg1_lift.pow_monotone CircleDeg1Lift.pow_monotone
theorem map_le_of_map_zero (x : ℝ) : f x ≤ f 0 + ⌈x⌉ :=
calc
f x ≤ f ⌈x⌉ := f.monotone <| le_ceil _
_ = f 0 + ⌈x⌉ := f.map_int_of_map_zero _
#align circle_deg1_lift.map_le_of_map_zero CircleDeg1Lift.map_le_of_map_zero
theorem map_map_zero_le : f (g 0) ≤ f 0 + ⌈g 0⌉ :=
f.map_le_of_map_zero (g 0)
#align circle_deg1_lift.map_map_zero_le CircleDeg1Lift.map_map_zero_le
theorem floor_map_map_zero_le : ⌊f (g 0)⌋ ≤ ⌊f 0⌋ + ⌈g 0⌉ :=
calc
⌊f (g 0)⌋ ≤ ⌊f 0 + ⌈g 0⌉⌋ := floor_mono <| f.map_map_zero_le g
_ = ⌊f 0⌋ + ⌈g 0⌉ := floor_add_int _ _
#align circle_deg1_lift.floor_map_map_zero_le CircleDeg1Lift.floor_map_map_zero_le
theorem ceil_map_map_zero_le : ⌈f (g 0)⌉ ≤ ⌈f 0⌉ + ⌈g 0⌉ :=
calc
⌈f (g 0)⌉ ≤ ⌈f 0 + ⌈g 0⌉⌉ := ceil_mono <| f.map_map_zero_le g
_ = ⌈f 0⌉ + ⌈g 0⌉ := ceil_add_int _ _
#align circle_deg1_lift.ceil_map_map_zero_le CircleDeg1Lift.ceil_map_map_zero_le
theorem map_map_zero_lt : f (g 0) < f 0 + g 0 + 1 :=
calc
f (g 0) ≤ f 0 + ⌈g 0⌉ := f.map_map_zero_le g
_ < f 0 + (g 0 + 1) := add_lt_add_left (ceil_lt_add_one _) _
_ = f 0 + g 0 + 1 := (add_assoc _ _ _).symm
#align circle_deg1_lift.map_map_zero_lt CircleDeg1Lift.map_map_zero_lt
theorem le_map_of_map_zero (x : ℝ) : f 0 + ⌊x⌋ ≤ f x :=
calc
f 0 + ⌊x⌋ = f ⌊x⌋ := (f.map_int_of_map_zero _).symm
_ ≤ f x := f.monotone <| floor_le _
#align circle_deg1_lift.le_map_of_map_zero CircleDeg1Lift.le_map_of_map_zero
theorem le_map_map_zero : f 0 + ⌊g 0⌋ ≤ f (g 0) :=
f.le_map_of_map_zero (g 0)
#align circle_deg1_lift.le_map_map_zero CircleDeg1Lift.le_map_map_zero
theorem le_floor_map_map_zero : ⌊f 0⌋ + ⌊g 0⌋ ≤ ⌊f (g 0)⌋ :=
calc
⌊f 0⌋ + ⌊g 0⌋ = ⌊f 0 + ⌊g 0⌋⌋ := (floor_add_int _ _).symm
_ ≤ ⌊f (g 0)⌋ := floor_mono <| f.le_map_map_zero g
#align circle_deg1_lift.le_floor_map_map_zero CircleDeg1Lift.le_floor_map_map_zero
theorem le_ceil_map_map_zero : ⌈f 0⌉ + ⌊g 0⌋ ≤ ⌈(f * g) 0⌉ :=
calc
⌈f 0⌉ + ⌊g 0⌋ = ⌈f 0 + ⌊g 0⌋⌉ := (ceil_add_int _ _).symm
_ ≤ ⌈f (g 0)⌉ := ceil_mono <| f.le_map_map_zero g
#align circle_deg1_lift.le_ceil_map_map_zero CircleDeg1Lift.le_ceil_map_map_zero
theorem lt_map_map_zero : f 0 + g 0 - 1 < f (g 0) :=
calc
f 0 + g 0 - 1 = f 0 + (g 0 - 1) := add_sub_assoc _ _ _
_ < f 0 + ⌊g 0⌋ := add_lt_add_left (sub_one_lt_floor _) _
_ ≤ f (g 0) := f.le_map_map_zero g
#align circle_deg1_lift.lt_map_map_zero CircleDeg1Lift.lt_map_map_zero
theorem dist_map_map_zero_lt : dist (f 0 + g 0) (f (g 0)) < 1 := by
rw [dist_comm, Real.dist_eq, abs_lt, lt_sub_iff_add_lt', sub_lt_iff_lt_add', ← sub_eq_add_neg]
exact ⟨f.lt_map_map_zero g, f.map_map_zero_lt g⟩
#align circle_deg1_lift.dist_map_map_zero_lt CircleDeg1Lift.dist_map_map_zero_lt
theorem dist_map_zero_lt_of_semiconj {f g₁ g₂ : CircleDeg1Lift} (h : Function.Semiconj f g₁ g₂) :
dist (g₁ 0) (g₂ 0) < 2 :=
calc
dist (g₁ 0) (g₂ 0) ≤ dist (g₁ 0) (f (g₁ 0) - f 0) + dist _ (g₂ 0) := dist_triangle _ _ _
_ = dist (f 0 + g₁ 0) (f (g₁ 0)) + dist (g₂ 0 + f 0) (g₂ (f 0)) := by
simp only [h.eq, Real.dist_eq, sub_sub, add_comm (f 0), sub_sub_eq_add_sub,
abs_sub_comm (g₂ (f 0))]
_ < 1 + 1 := add_lt_add (f.dist_map_map_zero_lt g₁) (g₂.dist_map_map_zero_lt f)
_ = 2 := one_add_one_eq_two
#align circle_deg1_lift.dist_map_zero_lt_of_semiconj CircleDeg1Lift.dist_map_zero_lt_of_semiconj
theorem dist_map_zero_lt_of_semiconjBy {f g₁ g₂ : CircleDeg1Lift} (h : SemiconjBy f g₁ g₂) :
dist (g₁ 0) (g₂ 0) < 2 :=
dist_map_zero_lt_of_semiconj <| semiconjBy_iff_semiconj.1 h
#align circle_deg1_lift.dist_map_zero_lt_of_semiconj_by CircleDeg1Lift.dist_map_zero_lt_of_semiconjBy
protected theorem tendsto_atBot : Tendsto f atBot atBot :=
tendsto_atBot_mono f.map_le_of_map_zero <| tendsto_atBot_add_const_left _ _ <|
(tendsto_atBot_mono fun x => (ceil_lt_add_one x).le) <|
tendsto_atBot_add_const_right _ _ tendsto_id
#align circle_deg1_lift.tendsto_at_bot CircleDeg1Lift.tendsto_atBot
protected theorem tendsto_atTop : Tendsto f atTop atTop :=
tendsto_atTop_mono f.le_map_of_map_zero <| tendsto_atTop_add_const_left _ _ <|
(tendsto_atTop_mono fun x => (sub_one_lt_floor x).le) <| by
simpa [sub_eq_add_neg] using tendsto_atTop_add_const_right _ _ tendsto_id
#align circle_deg1_lift.tendsto_at_top CircleDeg1Lift.tendsto_atTop
theorem continuous_iff_surjective : Continuous f ↔ Function.Surjective f :=
⟨fun h => h.surjective f.tendsto_atTop f.tendsto_atBot, f.monotone.continuous_of_surjective⟩
#align circle_deg1_lift.continuous_iff_surjective CircleDeg1Lift.continuous_iff_surjective
theorem iterate_le_of_map_le_add_int {x : ℝ} {m : ℤ} (h : f x ≤ x + m) (n : ℕ) :
f^[n] x ≤ x + n * m := by
simpa only [nsmul_eq_mul, add_right_iterate] using
(f.commute_add_int m).iterate_le_of_map_le f.monotone (monotone_id.add_const (m : ℝ)) h n
#align circle_deg1_lift.iterate_le_of_map_le_add_int CircleDeg1Lift.iterate_le_of_map_le_add_int
theorem le_iterate_of_add_int_le_map {x : ℝ} {m : ℤ} (h : x + m ≤ f x) (n : ℕ) :
x + n * m ≤ f^[n] x := by
simpa only [nsmul_eq_mul, add_right_iterate] using
(f.commute_add_int m).symm.iterate_le_of_map_le (monotone_id.add_const (m : ℝ)) f.monotone h n
#align circle_deg1_lift.le_iterate_of_add_int_le_map CircleDeg1Lift.le_iterate_of_add_int_le_map
theorem iterate_eq_of_map_eq_add_int {x : ℝ} {m : ℤ} (h : f x = x + m) (n : ℕ) :
f^[n] x = x + n * m := by
simpa only [nsmul_eq_mul, add_right_iterate] using (f.commute_add_int m).iterate_eq_of_map_eq n h
#align circle_deg1_lift.iterate_eq_of_map_eq_add_int CircleDeg1Lift.iterate_eq_of_map_eq_add_int
theorem iterate_pos_le_iff {x : ℝ} {m : ℤ} {n : ℕ} (hn : 0 < n) :
f^[n] x ≤ x + n * m ↔ f x ≤ x + m := by
simpa only [nsmul_eq_mul, add_right_iterate] using
(f.commute_add_int m).iterate_pos_le_iff_map_le f.monotone (strictMono_id.add_const (m : ℝ)) hn
#align circle_deg1_lift.iterate_pos_le_iff CircleDeg1Lift.iterate_pos_le_iff
theorem iterate_pos_lt_iff {x : ℝ} {m : ℤ} {n : ℕ} (hn : 0 < n) :
f^[n] x < x + n * m ↔ f x < x + m := by
simpa only [nsmul_eq_mul, add_right_iterate] using
(f.commute_add_int m).iterate_pos_lt_iff_map_lt f.monotone (strictMono_id.add_const (m : ℝ)) hn
#align circle_deg1_lift.iterate_pos_lt_iff CircleDeg1Lift.iterate_pos_lt_iff
theorem iterate_pos_eq_iff {x : ℝ} {m : ℤ} {n : ℕ} (hn : 0 < n) :
f^[n] x = x + n * m ↔ f x = x + m := by
simpa only [nsmul_eq_mul, add_right_iterate] using
(f.commute_add_int m).iterate_pos_eq_iff_map_eq f.monotone (strictMono_id.add_const (m : ℝ)) hn
#align circle_deg1_lift.iterate_pos_eq_iff CircleDeg1Lift.iterate_pos_eq_iff
| Mathlib/Dynamics/Circle/RotationNumber/TranslationNumber.lean | 606 | 608 | theorem le_iterate_pos_iff {x : ℝ} {m : ℤ} {n : ℕ} (hn : 0 < n) :
x + n * m ≤ f^[n] x ↔ x + m ≤ f x := by |
simpa only [not_lt] using not_congr (f.iterate_pos_lt_iff hn)
|
import Mathlib.Analysis.Convex.Between
import Mathlib.Analysis.Normed.Group.AddTorsor
import Mathlib.Geometry.Euclidean.Angle.Unoriented.Basic
import Mathlib.Analysis.NormedSpace.AffineIsometry
#align_import geometry.euclidean.angle.unoriented.affine from "leanprover-community/mathlib"@"46b633fd842bef9469441c0209906f6dddd2b4f5"
noncomputable section
open Real RealInnerProductSpace
namespace EuclideanGeometry
open InnerProductGeometry
variable {V P : Type*} [NormedAddCommGroup V] [InnerProductSpace ℝ V] [MetricSpace P]
[NormedAddTorsor V P] {p p₀ p₁ p₂ : P}
nonrec def angle (p1 p2 p3 : P) : ℝ :=
angle (p1 -ᵥ p2 : V) (p3 -ᵥ p2)
#align euclidean_geometry.angle EuclideanGeometry.angle
@[inherit_doc] scoped notation "∠" => EuclideanGeometry.angle
theorem continuousAt_angle {x : P × P × P} (hx12 : x.1 ≠ x.2.1) (hx32 : x.2.2 ≠ x.2.1) :
ContinuousAt (fun y : P × P × P => ∠ y.1 y.2.1 y.2.2) x := by
let f : P × P × P → V × V := fun y => (y.1 -ᵥ y.2.1, y.2.2 -ᵥ y.2.1)
have hf1 : (f x).1 ≠ 0 := by simp [hx12]
have hf2 : (f x).2 ≠ 0 := by simp [hx32]
exact (InnerProductGeometry.continuousAt_angle hf1 hf2).comp
((continuous_fst.vsub continuous_snd.fst).prod_mk
(continuous_snd.snd.vsub continuous_snd.fst)).continuousAt
#align euclidean_geometry.continuous_at_angle EuclideanGeometry.continuousAt_angle
@[simp]
theorem _root_.AffineIsometry.angle_map {V₂ P₂ : Type*} [NormedAddCommGroup V₂]
[InnerProductSpace ℝ V₂] [MetricSpace P₂] [NormedAddTorsor V₂ P₂]
(f : P →ᵃⁱ[ℝ] P₂) (p₁ p₂ p₃ : P) : ∠ (f p₁) (f p₂) (f p₃) = ∠ p₁ p₂ p₃ := by
simp_rw [angle, ← AffineIsometry.map_vsub, LinearIsometry.angle_map]
#align affine_isometry.angle_map AffineIsometry.angle_map
@[simp, norm_cast]
theorem _root_.AffineSubspace.angle_coe {s : AffineSubspace ℝ P} (p₁ p₂ p₃ : s) :
haveI : Nonempty s := ⟨p₁⟩
∠ (p₁ : P) (p₂ : P) (p₃ : P) = ∠ p₁ p₂ p₃ :=
haveI : Nonempty s := ⟨p₁⟩
s.subtypeₐᵢ.angle_map p₁ p₂ p₃
#align affine_subspace.angle_coe AffineSubspace.angle_coe
@[simp]
theorem angle_const_vadd (v : V) (p₁ p₂ p₃ : P) : ∠ (v +ᵥ p₁) (v +ᵥ p₂) (v +ᵥ p₃) = ∠ p₁ p₂ p₃ :=
(AffineIsometryEquiv.constVAdd ℝ P v).toAffineIsometry.angle_map _ _ _
#align euclidean_geometry.angle_const_vadd EuclideanGeometry.angle_const_vadd
@[simp]
theorem angle_vadd_const (v₁ v₂ v₃ : V) (p : P) : ∠ (v₁ +ᵥ p) (v₂ +ᵥ p) (v₃ +ᵥ p) = ∠ v₁ v₂ v₃ :=
(AffineIsometryEquiv.vaddConst ℝ p).toAffineIsometry.angle_map _ _ _
#align euclidean_geometry.angle_vadd_const EuclideanGeometry.angle_vadd_const
@[simp]
theorem angle_const_vsub (p p₁ p₂ p₃ : P) : ∠ (p -ᵥ p₁) (p -ᵥ p₂) (p -ᵥ p₃) = ∠ p₁ p₂ p₃ :=
(AffineIsometryEquiv.constVSub ℝ p).toAffineIsometry.angle_map _ _ _
#align euclidean_geometry.angle_const_vsub EuclideanGeometry.angle_const_vsub
@[simp]
theorem angle_vsub_const (p₁ p₂ p₃ p : P) : ∠ (p₁ -ᵥ p) (p₂ -ᵥ p) (p₃ -ᵥ p) = ∠ p₁ p₂ p₃ :=
(AffineIsometryEquiv.vaddConst ℝ p).symm.toAffineIsometry.angle_map _ _ _
#align euclidean_geometry.angle_vsub_const EuclideanGeometry.angle_vsub_const
@[simp]
theorem angle_add_const (v₁ v₂ v₃ : V) (v : V) : ∠ (v₁ + v) (v₂ + v) (v₃ + v) = ∠ v₁ v₂ v₃ :=
angle_vadd_const _ _ _ _
#align euclidean_geometry.angle_add_const EuclideanGeometry.angle_add_const
@[simp]
theorem angle_const_add (v : V) (v₁ v₂ v₃ : V) : ∠ (v + v₁) (v + v₂) (v + v₃) = ∠ v₁ v₂ v₃ :=
angle_const_vadd _ _ _ _
#align euclidean_geometry.angle_const_add EuclideanGeometry.angle_const_add
@[simp]
theorem angle_sub_const (v₁ v₂ v₃ : V) (v : V) : ∠ (v₁ - v) (v₂ - v) (v₃ - v) = ∠ v₁ v₂ v₃ := by
simpa only [vsub_eq_sub] using angle_vsub_const v₁ v₂ v₃ v
#align euclidean_geometry.angle_sub_const EuclideanGeometry.angle_sub_const
@[simp]
theorem angle_const_sub (v : V) (v₁ v₂ v₃ : V) : ∠ (v - v₁) (v - v₂) (v - v₃) = ∠ v₁ v₂ v₃ := by
simpa only [vsub_eq_sub] using angle_const_vsub v v₁ v₂ v₃
#align euclidean_geometry.angle_const_sub EuclideanGeometry.angle_const_sub
@[simp]
theorem angle_neg (v₁ v₂ v₃ : V) : ∠ (-v₁) (-v₂) (-v₃) = ∠ v₁ v₂ v₃ := by
simpa only [zero_sub] using angle_const_sub 0 v₁ v₂ v₃
#align euclidean_geometry.angle_neg EuclideanGeometry.angle_neg
nonrec theorem angle_comm (p1 p2 p3 : P) : ∠ p1 p2 p3 = ∠ p3 p2 p1 :=
angle_comm _ _
#align euclidean_geometry.angle_comm EuclideanGeometry.angle_comm
nonrec theorem angle_nonneg (p1 p2 p3 : P) : 0 ≤ ∠ p1 p2 p3 :=
angle_nonneg _ _
#align euclidean_geometry.angle_nonneg EuclideanGeometry.angle_nonneg
nonrec theorem angle_le_pi (p1 p2 p3 : P) : ∠ p1 p2 p3 ≤ π :=
angle_le_pi _ _
#align euclidean_geometry.angle_le_pi EuclideanGeometry.angle_le_pi
@[simp] lemma angle_self_left (p₀ p : P) : ∠ p₀ p₀ p = π / 2 := by
unfold angle
rw [vsub_self]
exact angle_zero_left _
#align euclidean_geometry.angle_eq_left EuclideanGeometry.angle_self_left
@[simp] lemma angle_self_right (p₀ p : P) : ∠ p p₀ p₀ = π / 2 := by rw [angle_comm, angle_self_left]
#align euclidean_geometry.angle_eq_right EuclideanGeometry.angle_self_right
theorem angle_self_of_ne (h : p ≠ p₀) : ∠ p p₀ p = 0 := angle_self $ vsub_ne_zero.2 h
#align euclidean_geometry.angle_eq_of_ne EuclideanGeometry.angle_self_of_ne
@[deprecated (since := "2024-02-14")] alias angle_eq_left := angle_self_left
@[deprecated (since := "2024-02-14")] alias angle_eq_right := angle_self_right
@[deprecated (since := "2024-02-14")] alias angle_eq_of_ne := angle_self_of_ne
theorem angle_eq_zero_of_angle_eq_pi_left {p1 p2 p3 : P} (h : ∠ p1 p2 p3 = π) : ∠ p2 p1 p3 = 0 := by
unfold angle at h
rw [angle_eq_pi_iff] at h
rcases h with ⟨hp1p2, ⟨r, ⟨hr, hpr⟩⟩⟩
unfold angle
rw [angle_eq_zero_iff]
rw [← neg_vsub_eq_vsub_rev, neg_ne_zero] at hp1p2
use hp1p2, -r + 1, add_pos (neg_pos_of_neg hr) zero_lt_one
rw [add_smul, ← neg_vsub_eq_vsub_rev p1 p2, smul_neg]
simp [← hpr]
#align euclidean_geometry.angle_eq_zero_of_angle_eq_pi_left EuclideanGeometry.angle_eq_zero_of_angle_eq_pi_left
theorem angle_eq_zero_of_angle_eq_pi_right {p1 p2 p3 : P} (h : ∠ p1 p2 p3 = π) :
∠ p2 p3 p1 = 0 := by
rw [angle_comm] at h
exact angle_eq_zero_of_angle_eq_pi_left h
#align euclidean_geometry.angle_eq_zero_of_angle_eq_pi_right EuclideanGeometry.angle_eq_zero_of_angle_eq_pi_right
theorem angle_eq_angle_of_angle_eq_pi (p1 : P) {p2 p3 p4 : P} (h : ∠ p2 p3 p4 = π) :
∠ p1 p2 p3 = ∠ p1 p2 p4 := by
unfold angle at *
rcases angle_eq_pi_iff.1 h with ⟨_, ⟨r, ⟨hr, hpr⟩⟩⟩
rw [eq_comm]
convert angle_smul_right_of_pos (p1 -ᵥ p2) (p3 -ᵥ p2) (add_pos (neg_pos_of_neg hr) zero_lt_one)
rw [add_smul, ← neg_vsub_eq_vsub_rev p2 p3, smul_neg, neg_smul, ← hpr]
simp
#align euclidean_geometry.angle_eq_angle_of_angle_eq_pi EuclideanGeometry.angle_eq_angle_of_angle_eq_pi
nonrec theorem angle_add_angle_eq_pi_of_angle_eq_pi (p1 : P) {p2 p3 p4 : P} (h : ∠ p2 p3 p4 = π) :
∠ p1 p3 p2 + ∠ p1 p3 p4 = π := by
unfold angle at h
rw [angle_comm p1 p3 p2, angle_comm p1 p3 p4]
unfold angle
exact angle_add_angle_eq_pi_of_angle_eq_pi _ h
#align euclidean_geometry.angle_add_angle_eq_pi_of_angle_eq_pi EuclideanGeometry.angle_add_angle_eq_pi_of_angle_eq_pi
theorem angle_eq_angle_of_angle_eq_pi_of_angle_eq_pi {p1 p2 p3 p4 p5 : P} (hapc : ∠ p1 p5 p3 = π)
(hbpd : ∠ p2 p5 p4 = π) : ∠ p1 p5 p2 = ∠ p3 p5 p4 := by
linarith [angle_add_angle_eq_pi_of_angle_eq_pi p1 hbpd, angle_comm p4 p5 p1,
angle_add_angle_eq_pi_of_angle_eq_pi p4 hapc, angle_comm p4 p5 p3]
#align euclidean_geometry.angle_eq_angle_of_angle_eq_pi_of_angle_eq_pi EuclideanGeometry.angle_eq_angle_of_angle_eq_pi_of_angle_eq_pi
theorem left_dist_ne_zero_of_angle_eq_pi {p1 p2 p3 : P} (h : ∠ p1 p2 p3 = π) : dist p1 p2 ≠ 0 := by
by_contra heq
rw [dist_eq_zero] at heq
rw [heq, angle_self_left] at h
exact Real.pi_ne_zero (by linarith)
#align euclidean_geometry.left_dist_ne_zero_of_angle_eq_pi EuclideanGeometry.left_dist_ne_zero_of_angle_eq_pi
theorem right_dist_ne_zero_of_angle_eq_pi {p1 p2 p3 : P} (h : ∠ p1 p2 p3 = π) : dist p3 p2 ≠ 0 :=
left_dist_ne_zero_of_angle_eq_pi <| (angle_comm _ _ _).trans h
#align euclidean_geometry.right_dist_ne_zero_of_angle_eq_pi EuclideanGeometry.right_dist_ne_zero_of_angle_eq_pi
theorem dist_eq_add_dist_of_angle_eq_pi {p1 p2 p3 : P} (h : ∠ p1 p2 p3 = π) :
dist p1 p3 = dist p1 p2 + dist p3 p2 := by
rw [dist_eq_norm_vsub V, dist_eq_norm_vsub V, dist_eq_norm_vsub V, ← vsub_sub_vsub_cancel_right]
exact norm_sub_eq_add_norm_of_angle_eq_pi h
#align euclidean_geometry.dist_eq_add_dist_of_angle_eq_pi EuclideanGeometry.dist_eq_add_dist_of_angle_eq_pi
theorem dist_eq_add_dist_iff_angle_eq_pi {p1 p2 p3 : P} (hp1p2 : p1 ≠ p2) (hp3p2 : p3 ≠ p2) :
dist p1 p3 = dist p1 p2 + dist p3 p2 ↔ ∠ p1 p2 p3 = π := by
rw [dist_eq_norm_vsub V, dist_eq_norm_vsub V, dist_eq_norm_vsub V, ← vsub_sub_vsub_cancel_right]
exact
norm_sub_eq_add_norm_iff_angle_eq_pi (fun he => hp1p2 (vsub_eq_zero_iff_eq.1 he)) fun he =>
hp3p2 (vsub_eq_zero_iff_eq.1 he)
#align euclidean_geometry.dist_eq_add_dist_iff_angle_eq_pi EuclideanGeometry.dist_eq_add_dist_iff_angle_eq_pi
theorem dist_eq_abs_sub_dist_of_angle_eq_zero {p1 p2 p3 : P} (h : ∠ p1 p2 p3 = 0) :
dist p1 p3 = |dist p1 p2 - dist p3 p2| := by
rw [dist_eq_norm_vsub V, dist_eq_norm_vsub V, dist_eq_norm_vsub V, ← vsub_sub_vsub_cancel_right]
exact norm_sub_eq_abs_sub_norm_of_angle_eq_zero h
#align euclidean_geometry.dist_eq_abs_sub_dist_of_angle_eq_zero EuclideanGeometry.dist_eq_abs_sub_dist_of_angle_eq_zero
theorem dist_eq_abs_sub_dist_iff_angle_eq_zero {p1 p2 p3 : P} (hp1p2 : p1 ≠ p2) (hp3p2 : p3 ≠ p2) :
dist p1 p3 = |dist p1 p2 - dist p3 p2| ↔ ∠ p1 p2 p3 = 0 := by
rw [dist_eq_norm_vsub V, dist_eq_norm_vsub V, dist_eq_norm_vsub V, ← vsub_sub_vsub_cancel_right]
exact
norm_sub_eq_abs_sub_norm_iff_angle_eq_zero (fun he => hp1p2 (vsub_eq_zero_iff_eq.1 he))
fun he => hp3p2 (vsub_eq_zero_iff_eq.1 he)
#align euclidean_geometry.dist_eq_abs_sub_dist_iff_angle_eq_zero EuclideanGeometry.dist_eq_abs_sub_dist_iff_angle_eq_zero
theorem angle_midpoint_eq_pi (p1 p2 : P) (hp1p2 : p1 ≠ p2) : ∠ p1 (midpoint ℝ p1 p2) p2 = π := by
simp only [angle, left_vsub_midpoint, invOf_eq_inv, right_vsub_midpoint, inv_pos, zero_lt_two,
angle_smul_right_of_pos, angle_smul_left_of_pos]
rw [← neg_vsub_eq_vsub_rev p1 p2]
apply angle_self_neg_of_nonzero
simpa only [ne_eq, vsub_eq_zero_iff_eq]
#align euclidean_geometry.angle_midpoint_eq_pi EuclideanGeometry.angle_midpoint_eq_pi
| Mathlib/Geometry/Euclidean/Angle/Unoriented/Affine.lean | 268 | 275 | theorem angle_left_midpoint_eq_pi_div_two_of_dist_eq {p1 p2 p3 : P} (h : dist p3 p1 = dist p3 p2) :
∠ p3 (midpoint ℝ p1 p2) p1 = π / 2 := by |
let m : P := midpoint ℝ p1 p2
have h1 : p3 -ᵥ p1 = p3 -ᵥ m - (p1 -ᵥ m) := (vsub_sub_vsub_cancel_right p3 p1 m).symm
have h2 : p3 -ᵥ p2 = p3 -ᵥ m + (p1 -ᵥ m) := by
rw [left_vsub_midpoint, ← midpoint_vsub_right, vsub_add_vsub_cancel]
rw [dist_eq_norm_vsub V p3 p1, dist_eq_norm_vsub V p3 p2, h1, h2] at h
exact (norm_add_eq_norm_sub_iff_angle_eq_pi_div_two (p3 -ᵥ m) (p1 -ᵥ m)).mp h.symm
|
import Mathlib.Data.Nat.Defs
import Mathlib.Logic.IsEmpty
import Mathlib.Logic.Relation
import Mathlib.Order.Basic
#align_import order.rel_classes from "leanprover-community/mathlib"@"7413128c3bcb3b0818e3e18720abc9ea3100fb49"
universe u v
variable {α : Type u} {β : Type v} {r : α → α → Prop} {s : β → β → Prop}
open Function
theorem of_eq [IsRefl α r] : ∀ {a b}, a = b → r a b
| _, _, .refl _ => refl _
#align of_eq of_eq
theorem comm [IsSymm α r] {a b : α} : r a b ↔ r b a :=
⟨symm, symm⟩
#align comm comm
theorem antisymm' [IsAntisymm α r] {a b : α} : r a b → r b a → b = a := fun h h' => antisymm h' h
#align antisymm' antisymm'
theorem antisymm_iff [IsRefl α r] [IsAntisymm α r] {a b : α} : r a b ∧ r b a ↔ a = b :=
⟨fun h => antisymm h.1 h.2, by
rintro rfl
exact ⟨refl _, refl _⟩⟩
#align antisymm_iff antisymm_iff
@[elab_without_expected_type]
theorem antisymm_of (r : α → α → Prop) [IsAntisymm α r] {a b : α} : r a b → r b a → a = b :=
antisymm
#align antisymm_of antisymm_of
@[elab_without_expected_type]
theorem antisymm_of' (r : α → α → Prop) [IsAntisymm α r] {a b : α} : r a b → r b a → b = a :=
antisymm'
#align antisymm_of' antisymm_of'
theorem comm_of (r : α → α → Prop) [IsSymm α r] {a b : α} : r a b ↔ r b a :=
comm
#align comm_of comm_of
theorem IsRefl.swap (r) [IsRefl α r] : IsRefl α (swap r) :=
⟨refl_of r⟩
#align is_refl.swap IsRefl.swap
theorem IsIrrefl.swap (r) [IsIrrefl α r] : IsIrrefl α (swap r) :=
⟨irrefl_of r⟩
#align is_irrefl.swap IsIrrefl.swap
theorem IsTrans.swap (r) [IsTrans α r] : IsTrans α (swap r) :=
⟨fun _ _ _ h₁ h₂ => trans_of r h₂ h₁⟩
#align is_trans.swap IsTrans.swap
theorem IsAntisymm.swap (r) [IsAntisymm α r] : IsAntisymm α (swap r) :=
⟨fun _ _ h₁ h₂ => _root_.antisymm h₂ h₁⟩
#align is_antisymm.swap IsAntisymm.swap
theorem IsAsymm.swap (r) [IsAsymm α r] : IsAsymm α (swap r) :=
⟨fun _ _ h₁ h₂ => asymm_of r h₂ h₁⟩
#align is_asymm.swap IsAsymm.swap
theorem IsTotal.swap (r) [IsTotal α r] : IsTotal α (swap r) :=
⟨fun a b => (total_of r a b).symm⟩
#align is_total.swap IsTotal.swap
theorem IsTrichotomous.swap (r) [IsTrichotomous α r] : IsTrichotomous α (swap r) :=
⟨fun a b => by simpa [Function.swap, or_comm, or_left_comm] using trichotomous_of r a b⟩
#align is_trichotomous.swap IsTrichotomous.swap
theorem IsPreorder.swap (r) [IsPreorder α r] : IsPreorder α (swap r) :=
{ @IsRefl.swap α r _, @IsTrans.swap α r _ with }
#align is_preorder.swap IsPreorder.swap
theorem IsStrictOrder.swap (r) [IsStrictOrder α r] : IsStrictOrder α (swap r) :=
{ @IsIrrefl.swap α r _, @IsTrans.swap α r _ with }
#align is_strict_order.swap IsStrictOrder.swap
theorem IsPartialOrder.swap (r) [IsPartialOrder α r] : IsPartialOrder α (swap r) :=
{ @IsPreorder.swap α r _, @IsAntisymm.swap α r _ with }
#align is_partial_order.swap IsPartialOrder.swap
theorem IsTotalPreorder.swap (r) [IsTotalPreorder α r] : IsTotalPreorder α (swap r) :=
{ @IsPreorder.swap α r _, @IsTotal.swap α r _ with }
#align is_total_preorder.swap IsTotalPreorder.swap
theorem IsLinearOrder.swap (r) [IsLinearOrder α r] : IsLinearOrder α (swap r) :=
{ @IsPartialOrder.swap α r _, @IsTotal.swap α r _ with }
#align is_linear_order.swap IsLinearOrder.swap
protected theorem IsAsymm.isAntisymm (r) [IsAsymm α r] : IsAntisymm α r :=
⟨fun _ _ h₁ h₂ => (_root_.asymm h₁ h₂).elim⟩
#align is_asymm.is_antisymm IsAsymm.isAntisymm
protected theorem IsAsymm.isIrrefl [IsAsymm α r] : IsIrrefl α r :=
⟨fun _ h => _root_.asymm h h⟩
#align is_asymm.is_irrefl IsAsymm.isIrrefl
protected theorem IsTotal.isTrichotomous (r) [IsTotal α r] : IsTrichotomous α r :=
⟨fun a b => or_left_comm.1 (Or.inr <| total_of r a b)⟩
#align is_total.is_trichotomous IsTotal.isTrichotomous
-- see Note [lower instance priority]
instance (priority := 100) IsTotal.to_isRefl (r) [IsTotal α r] : IsRefl α r :=
⟨fun a => or_self_iff.1 <| total_of r a a⟩
theorem ne_of_irrefl {r} [IsIrrefl α r] : ∀ {x y : α}, r x y → x ≠ y
| _, _, h, rfl => irrefl _ h
#align ne_of_irrefl ne_of_irrefl
theorem ne_of_irrefl' {r} [IsIrrefl α r] : ∀ {x y : α}, r x y → y ≠ x
| _, _, h, rfl => irrefl _ h
#align ne_of_irrefl' ne_of_irrefl'
theorem not_rel_of_subsingleton (r) [IsIrrefl α r] [Subsingleton α] (x y) : ¬r x y :=
Subsingleton.elim x y ▸ irrefl x
#align not_rel_of_subsingleton not_rel_of_subsingleton
theorem rel_of_subsingleton (r) [IsRefl α r] [Subsingleton α] (x y) : r x y :=
Subsingleton.elim x y ▸ refl x
#align rel_of_subsingleton rel_of_subsingleton
@[simp]
theorem empty_relation_apply (a b : α) : EmptyRelation a b ↔ False :=
Iff.rfl
#align empty_relation_apply empty_relation_apply
theorem eq_empty_relation (r) [IsIrrefl α r] [Subsingleton α] : r = EmptyRelation :=
funext₂ <| by simpa using not_rel_of_subsingleton r
#align eq_empty_relation eq_empty_relation
instance : IsIrrefl α EmptyRelation :=
⟨fun _ => id⟩
theorem trans_trichotomous_left [IsTrans α r] [IsTrichotomous α r] {a b c : α} :
¬r b a → r b c → r a c := by
intro h₁ h₂
rcases trichotomous_of r a b with (h₃ | rfl | h₃)
exacts [_root_.trans h₃ h₂, h₂, absurd h₃ h₁]
#align trans_trichotomous_left trans_trichotomous_left
theorem trans_trichotomous_right [IsTrans α r] [IsTrichotomous α r] {a b c : α} :
r a b → ¬r c b → r a c := by
intro h₁ h₂
rcases trichotomous_of r b c with (h₃ | rfl | h₃)
exacts [_root_.trans h₁ h₃, h₁, absurd h₃ h₂]
#align trans_trichotomous_right trans_trichotomous_right
theorem transitive_of_trans (r : α → α → Prop) [IsTrans α r] : Transitive r := IsTrans.trans
#align transitive_of_trans transitive_of_trans
theorem extensional_of_trichotomous_of_irrefl (r : α → α → Prop) [IsTrichotomous α r] [IsIrrefl α r]
{a b : α} (H : ∀ x, r x a ↔ r x b) : a = b :=
((@trichotomous _ r _ a b).resolve_left <| mt (H _).2 <| irrefl a).resolve_right <| mt (H _).1
<| irrefl b
#align extensional_of_trichotomous_of_irrefl extensional_of_trichotomous_of_irrefl
abbrev partialOrderOfSO (r) [IsStrictOrder α r] : PartialOrder α where
le x y := x = y ∨ r x y
lt := r
le_refl x := Or.inl rfl
le_trans x y z h₁ h₂ :=
match y, z, h₁, h₂ with
| _, _, Or.inl rfl, h₂ => h₂
| _, _, h₁, Or.inl rfl => h₁
| _, _, Or.inr h₁, Or.inr h₂ => Or.inr (_root_.trans h₁ h₂)
le_antisymm x y h₁ h₂ :=
match y, h₁, h₂ with
| _, Or.inl rfl, _ => rfl
| _, _, Or.inl rfl => rfl
| _, Or.inr h₁, Or.inr h₂ => (asymm h₁ h₂).elim
lt_iff_le_not_le x y :=
⟨fun h => ⟨Or.inr h, not_or_of_not (fun e => by rw [e] at h; exact irrefl _ h) (asymm h)⟩,
fun ⟨h₁, h₂⟩ => h₁.resolve_left fun e => h₂ <| e ▸ Or.inl rfl⟩
set_option linter.uppercaseLean3 false in
#align partial_order_of_SO partialOrderOfSO
abbrev linearOrderOfSTO (r) [IsStrictTotalOrder α r] [∀ x y, Decidable ¬r x y] : LinearOrder α :=
let hD : DecidableRel (fun x y => x = y ∨ r x y) := fun x y =>
decidable_of_iff (¬r y x)
⟨fun h => ((trichotomous_of r y x).resolve_left h).imp Eq.symm id, fun h =>
h.elim (fun h => h ▸ irrefl_of _ _) (asymm_of r)⟩
{ __ := partialOrderOfSO r
le_total := fun x y =>
match y, trichotomous_of r x y with
| y, Or.inl h => Or.inl (Or.inr h)
| _, Or.inr (Or.inl rfl) => Or.inl (Or.inl rfl)
| _, Or.inr (Or.inr h) => Or.inr (Or.inr h),
toMin := minOfLe,
toMax := maxOfLe,
decidableLE := hD }
set_option linter.uppercaseLean3 false in
#align linear_order_of_STO linearOrderOfSTO
theorem IsStrictTotalOrder.swap (r) [IsStrictTotalOrder α r] : IsStrictTotalOrder α (swap r) :=
{ IsTrichotomous.swap r, IsStrictOrder.swap r with }
#align is_strict_total_order.swap IsStrictTotalOrder.swap
class IsOrderConnected (α : Type u) (lt : α → α → Prop) : Prop where
conn : ∀ a b c, lt a c → lt a b ∨ lt b c
#align is_order_connected IsOrderConnected
theorem IsOrderConnected.neg_trans {r : α → α → Prop} [IsOrderConnected α r] {a b c}
(h₁ : ¬r a b) (h₂ : ¬r b c) : ¬r a c :=
mt (IsOrderConnected.conn a b c) <| by simp [h₁, h₂]
#align is_order_connected.neg_trans IsOrderConnected.neg_trans
theorem isStrictWeakOrder_of_isOrderConnected [IsAsymm α r] [IsOrderConnected α r] :
IsStrictWeakOrder α r :=
{ @IsAsymm.isIrrefl α r _ with
trans := fun _ _ c h₁ h₂ => (IsOrderConnected.conn _ c _ h₁).resolve_right (asymm h₂),
incomp_trans := fun _ _ _ ⟨h₁, h₂⟩ ⟨h₃, h₄⟩ =>
⟨IsOrderConnected.neg_trans h₁ h₃, IsOrderConnected.neg_trans h₄ h₂⟩ }
#align is_strict_weak_order_of_is_order_connected isStrictWeakOrder_of_isOrderConnected
-- see Note [lower instance priority]
instance (priority := 100) isStrictOrderConnected_of_isStrictTotalOrder [IsStrictTotalOrder α r] :
IsOrderConnected α r :=
⟨fun _ _ _ h ↦ (trichotomous _ _).imp_right
fun o ↦ o.elim (fun e ↦ e ▸ h) fun h' ↦ _root_.trans h' h⟩
#align is_order_connected_of_is_strict_total_order isStrictOrderConnected_of_isStrictTotalOrder
-- see Note [lower instance priority]
instance (priority := 100) isStrictTotalOrder_of_isStrictTotalOrder [IsStrictTotalOrder α r] :
IsStrictWeakOrder α r :=
{ isStrictWeakOrder_of_isOrderConnected with }
#align is_strict_weak_order_of_is_strict_total_order isStrictTotalOrder_of_isStrictTotalOrder
@[mk_iff] class IsWellFounded (α : Type u) (r : α → α → Prop) : Prop where
wf : WellFounded r
#align is_well_founded IsWellFounded
#align is_well_founded_iff isWellFounded_iff
#align has_well_founded WellFoundedRelation
set_option linter.uppercaseLean3 false in
#align has_well_founded.R WellFoundedRelation.rel
instance WellFoundedRelation.isWellFounded [h : WellFoundedRelation α] :
IsWellFounded α WellFoundedRelation.rel :=
{ h with }
theorem WellFoundedRelation.asymmetric {α : Sort*} [WellFoundedRelation α] {a b : α} :
WellFoundedRelation.rel a b → ¬ WellFoundedRelation.rel b a :=
fun hab hba => WellFoundedRelation.asymmetric hba hab
termination_by a
lemma WellFounded.prod_lex {ra : α → α → Prop} {rb : β → β → Prop} (ha : WellFounded ra)
(hb : WellFounded rb) : WellFounded (Prod.Lex ra rb) :=
(Prod.lex ⟨_, ha⟩ ⟨_, hb⟩).wf
#align prod.lex_wf WellFounded.prod_lex
theorem WellFounded.asymmetric {α : Sort*} {r : α → α → Prop} (h : WellFounded r) (a b) :
r a b → ¬r b a :=
@WellFoundedRelation.asymmetric _ ⟨_, h⟩ _ _
#align well_founded.asymmetric WellFounded.asymmetric
-- see Note [lower instance priority]
instance (priority := 100) (r : α → α → Prop) [IsWellFounded α r] : IsAsymm α r :=
⟨IsWellFounded.wf.asymmetric⟩
-- see Note [lower instance priority]
instance (priority := 100) (r : α → α → Prop) [IsWellFounded α r] : IsIrrefl α r :=
IsAsymm.isIrrefl
instance (r : α → α → Prop) [i : IsWellFounded α r] : IsWellFounded α (Relation.TransGen r) :=
⟨i.wf.transGen⟩
abbrev WellFoundedLT (α : Type*) [LT α] : Prop :=
IsWellFounded α (· < ·)
#align well_founded_lt WellFoundedLT
abbrev WellFoundedGT (α : Type*) [LT α] : Prop :=
IsWellFounded α (· > ·)
#align well_founded_gt WellFoundedGT
lemma wellFounded_lt [LT α] [WellFoundedLT α] : @WellFounded α (· < ·) := IsWellFounded.wf
lemma wellFounded_gt [LT α] [WellFoundedGT α] : @WellFounded α (· > ·) := IsWellFounded.wf
-- See note [lower instance priority]
instance (priority := 100) (α : Type*) [LT α] [h : WellFoundedLT α] : WellFoundedGT αᵒᵈ :=
h
-- See note [lower instance priority]
instance (priority := 100) (α : Type*) [LT α] [h : WellFoundedGT α] : WellFoundedLT αᵒᵈ :=
h
theorem wellFoundedGT_dual_iff (α : Type*) [LT α] : WellFoundedGT αᵒᵈ ↔ WellFoundedLT α :=
⟨fun h => ⟨h.wf⟩, fun h => ⟨h.wf⟩⟩
#align well_founded_gt_dual_iff wellFoundedGT_dual_iff
theorem wellFoundedLT_dual_iff (α : Type*) [LT α] : WellFoundedLT αᵒᵈ ↔ WellFoundedGT α :=
⟨fun h => ⟨h.wf⟩, fun h => ⟨h.wf⟩⟩
#align well_founded_lt_dual_iff wellFoundedLT_dual_iff
class IsWellOrder (α : Type u) (r : α → α → Prop) extends
IsTrichotomous α r, IsTrans α r, IsWellFounded α r : Prop
#align is_well_order IsWellOrder
-- see Note [lower instance priority]
instance (priority := 100) {α} (r : α → α → Prop) [IsWellOrder α r] :
IsStrictTotalOrder α r where
-- see Note [lower instance priority]
instance (priority := 100) {α} (r : α → α → Prop) [IsWellOrder α r] : IsTrichotomous α r := by
infer_instance
-- see Note [lower instance priority]
instance (priority := 100) {α} (r : α → α → Prop) [IsWellOrder α r] : IsTrans α r := by
infer_instance
-- see Note [lower instance priority]
instance (priority := 100) {α} (r : α → α → Prop) [IsWellOrder α r] : IsIrrefl α r := by
infer_instance
-- see Note [lower instance priority]
instance (priority := 100) {α} (r : α → α → Prop) [IsWellOrder α r] : IsAsymm α r := by
infer_instance
noncomputable def IsWellOrder.linearOrder (r : α → α → Prop) [IsWellOrder α r] : LinearOrder α :=
letI := fun x y => Classical.dec ¬r x y
linearOrderOfSTO r
#align is_well_order.linear_order IsWellOrder.linearOrder
def IsWellOrder.toHasWellFounded [LT α] [hwo : IsWellOrder α (· < ·)] : WellFoundedRelation α where
rel := (· < ·)
wf := hwo.wf
#align is_well_order.to_has_well_founded IsWellOrder.toHasWellFounded
-- This isn't made into an instance as it loops with `IsIrrefl α r`.
theorem Subsingleton.isWellOrder [Subsingleton α] (r : α → α → Prop) [hr : IsIrrefl α r] :
IsWellOrder α r :=
{ hr with
trichotomous := fun a b => Or.inr <| Or.inl <| Subsingleton.elim a b,
trans := fun a b _ h => (not_rel_of_subsingleton r a b h).elim,
wf := ⟨fun a => ⟨_, fun y h => (not_rel_of_subsingleton r y a h).elim⟩⟩ }
#align subsingleton.is_well_order Subsingleton.isWellOrder
instance [Subsingleton α] : IsWellOrder α EmptyRelation :=
Subsingleton.isWellOrder _
instance (priority := 100) [IsEmpty α] (r : α → α → Prop) : IsWellOrder α r where
trichotomous := isEmptyElim
trans := isEmptyElim
wf := wellFounded_of_isEmpty r
instance [IsWellFounded α r] [IsWellFounded β s] : IsWellFounded (α × β) (Prod.Lex r s) :=
⟨IsWellFounded.wf.prod_lex IsWellFounded.wf⟩
instance [IsWellOrder α r] [IsWellOrder β s] : IsWellOrder (α × β) (Prod.Lex r s) where
trichotomous := fun ⟨a₁, a₂⟩ ⟨b₁, b₂⟩ =>
match @trichotomous _ r _ a₁ b₁ with
| Or.inl h₁ => Or.inl <| Prod.Lex.left _ _ h₁
| Or.inr (Or.inr h₁) => Or.inr <| Or.inr <| Prod.Lex.left _ _ h₁
| Or.inr (Or.inl (.refl _)) =>
match @trichotomous _ s _ a₂ b₂ with
| Or.inl h => Or.inl <| Prod.Lex.right _ h
| Or.inr (Or.inr h) => Or.inr <| Or.inr <| Prod.Lex.right _ h
| Or.inr (Or.inl (.refl _)) => Or.inr <| Or.inl rfl
trans a b c h₁ h₂ := by
cases' h₁ with a₁ a₂ b₁ b₂ ab a₁ b₁ b₂ ab <;> cases' h₂ with _ _ c₁ c₂ bc _ _ c₂ bc
exacts [.left _ _ (_root_.trans ab bc), .left _ _ ab, .left _ _ bc,
.right _ (_root_.trans ab bc)]
instance (r : α → α → Prop) [IsWellFounded α r] (f : β → α) : IsWellFounded _ (InvImage r f) :=
⟨InvImage.wf f IsWellFounded.wf⟩
instance (f : α → ℕ) : IsWellFounded _ (InvImage (· < ·) f) :=
⟨(measure f).wf⟩
theorem Subrelation.isWellFounded (r : α → α → Prop) [IsWellFounded α r] {s : α → α → Prop}
(h : Subrelation s r) : IsWellFounded α s :=
⟨h.wf IsWellFounded.wf⟩
#align subrelation.is_well_founded Subrelation.isWellFounded
instance Prod.wellFoundedLT [PartialOrder α] [WellFoundedLT α] [Preorder β] [WellFoundedLT β] :
WellFoundedLT (α × β) where
wf := by
refine @Subrelation.wf (α × β) (Prod.Lex (· < ·) (· < ·)) (· < ·) ?_ IsWellFounded.wf
rintro ⟨a₁, b₁⟩ ⟨a₂, b₂⟩ w
simp only [Prod.mk_lt_mk] at w
rcases eq_or_ne a₁ a₂ with rfl | ha
· right
simpa using w
· left
rcases w with ⟨a_lt, _⟩ | ⟨a_le, _⟩
· assumption
· exact Ne.lt_of_le ha a_le
instance Prod.wellFoundedGT [PartialOrder α] [WellFoundedGT α] [Preorder β] [WellFoundedGT β] :
WellFoundedGT (α × β) :=
@Prod.wellFoundedLT αᵒᵈ βᵒᵈ _ _ _ _
namespace Set
def Unbounded (r : α → α → Prop) (s : Set α) : Prop :=
∀ a, ∃ b ∈ s, ¬r b a
#align set.unbounded Set.Unbounded
def Bounded (r : α → α → Prop) (s : Set α) : Prop :=
∃ a, ∀ b ∈ s, r b a
#align set.bounded Set.Bounded
@[simp]
| Mathlib/Order/RelClasses.lean | 552 | 553 | theorem not_bounded_iff {r : α → α → Prop} (s : Set α) : ¬Bounded r s ↔ Unbounded r s := by |
simp only [Bounded, Unbounded, not_forall, not_exists, exists_prop, not_and, not_not]
|
import Mathlib.Algebra.CharP.Basic
import Mathlib.Algebra.CharP.Algebra
import Mathlib.Data.Nat.Prime
#align_import algebra.char_p.exp_char from "leanprover-community/mathlib"@"70fd9563a21e7b963887c9360bd29b2393e6225a"
universe u
variable (R : Type u)
section Semiring
variable [Semiring R]
class inductive ExpChar (R : Type u) [Semiring R] : ℕ → Prop
| zero [CharZero R] : ExpChar R 1
| prime {q : ℕ} (hprime : q.Prime) [hchar : CharP R q] : ExpChar R q
#align exp_char ExpChar
#align exp_char.prime ExpChar.prime
instance expChar_prime (p) [CharP R p] [Fact p.Prime] : ExpChar R p := ExpChar.prime Fact.out
instance expChar_zero [CharZero R] : ExpChar R 1 := ExpChar.zero
instance (S : Type*) [Semiring S] (p) [ExpChar R p] [ExpChar S p] : ExpChar (R × S) p := by
obtain hp | ⟨hp⟩ := ‹ExpChar R p›
· have := Prod.charZero_of_left R S; exact .zero
obtain _ | _ := ‹ExpChar S p›
· exact (Nat.not_prime_one hp).elim
· have := Prod.charP R S p; exact .prime hp
variable {R} in
theorem ExpChar.eq {p q : ℕ} (hp : ExpChar R p) (hq : ExpChar R q) : p = q := by
cases' hp with hp _ hp' hp
· cases' hq with hq _ hq' hq
exacts [rfl, False.elim (Nat.not_prime_zero (CharP.eq R hq (CharP.ofCharZero R) ▸ hq'))]
· cases' hq with hq _ hq' hq
exacts [False.elim (Nat.not_prime_zero (CharP.eq R hp (CharP.ofCharZero R) ▸ hp')),
CharP.eq R hp hq]
theorem ExpChar.congr {p : ℕ} (q : ℕ) [hq : ExpChar R q] (h : q = p) : ExpChar R p := h ▸ hq
noncomputable def ringExpChar (R : Type*) [NonAssocSemiring R] : ℕ := max (ringChar R) 1
theorem ringExpChar.eq (q : ℕ) [h : ExpChar R q] : ringExpChar R = q := by
cases' h with _ _ h _
· haveI := CharP.ofCharZero R
rw [ringExpChar, ringChar.eq R 0]; rfl
rw [ringExpChar, ringChar.eq R q]
exact Nat.max_eq_left h.one_lt.le
@[simp]
| Mathlib/Algebra/CharP/ExpChar.lean | 82 | 83 | theorem ringExpChar.eq_one (R : Type*) [NonAssocSemiring R] [CharZero R] : ringExpChar R = 1 := by |
rw [ringExpChar, ringChar.eq_zero, max_eq_right zero_le_one]
|
import Mathlib.SetTheory.Game.Basic
import Mathlib.SetTheory.Ordinal.NaturalOps
#align_import set_theory.game.ordinal from "leanprover-community/mathlib"@"b90e72c7eebbe8de7c8293a80208ea2ba135c834"
universe u
open SetTheory PGame
open scoped NaturalOps PGame
namespace Ordinal
noncomputable def toPGame : Ordinal.{u} → PGame.{u}
| o =>
have : IsWellOrder o.out.α (· < ·) := isWellOrder_out_lt o
⟨o.out.α, PEmpty, fun x =>
have := Ordinal.typein_lt_self x
(typein (· < ·) x).toPGame,
PEmpty.elim⟩
termination_by x => x
#align ordinal.to_pgame Ordinal.toPGame
@[nolint unusedHavesSuffices]
theorem toPGame_def (o : Ordinal) :
have : IsWellOrder o.out.α (· < ·) := isWellOrder_out_lt o
o.toPGame = ⟨o.out.α, PEmpty, fun x => (typein (· < ·) x).toPGame, PEmpty.elim⟩ := by
rw [toPGame]
#align ordinal.to_pgame_def Ordinal.toPGame_def
@[simp, nolint unusedHavesSuffices]
theorem toPGame_leftMoves (o : Ordinal) : o.toPGame.LeftMoves = o.out.α := by
rw [toPGame, LeftMoves]
#align ordinal.to_pgame_left_moves Ordinal.toPGame_leftMoves
@[simp, nolint unusedHavesSuffices]
| Mathlib/SetTheory/Game/Ordinal.lean | 58 | 59 | theorem toPGame_rightMoves (o : Ordinal) : o.toPGame.RightMoves = PEmpty := by |
rw [toPGame, RightMoves]
|
import Mathlib.Algebra.Module.Submodule.EqLocus
import Mathlib.Algebra.Module.Submodule.RestrictScalars
import Mathlib.Algebra.Ring.Idempotents
import Mathlib.Data.Set.Pointwise.SMul
import Mathlib.LinearAlgebra.Basic
import Mathlib.Order.CompactlyGenerated.Basic
import Mathlib.Order.OmegaCompletePartialOrder
#align_import linear_algebra.span from "leanprover-community/mathlib"@"10878f6bf1dab863445907ab23fbfcefcb5845d0"
variable {R R₂ K M M₂ V S : Type*}
namespace Submodule
open Function Set
open Pointwise
section AddCommMonoid
variable [Semiring R] [AddCommMonoid M] [Module R M]
variable {x : M} (p p' : Submodule R M)
variable [Semiring R₂] {σ₁₂ : R →+* R₂}
variable [AddCommMonoid M₂] [Module R₂ M₂]
variable {F : Type*} [FunLike F M M₂] [SemilinearMapClass F σ₁₂ M M₂]
section
variable (R)
def span (s : Set M) : Submodule R M :=
sInf { p | s ⊆ p }
#align submodule.span Submodule.span
variable {R}
-- Porting note: renamed field to `principal'` and added `principal` to fix explicit argument
@[mk_iff]
class IsPrincipal (S : Submodule R M) : Prop where
principal' : ∃ a, S = span R {a}
#align submodule.is_principal Submodule.IsPrincipal
theorem IsPrincipal.principal (S : Submodule R M) [S.IsPrincipal] :
∃ a, S = span R {a} :=
Submodule.IsPrincipal.principal'
#align submodule.is_principal.principal Submodule.IsPrincipal.principal
end
variable {s t : Set M}
theorem mem_span : x ∈ span R s ↔ ∀ p : Submodule R M, s ⊆ p → x ∈ p :=
mem_iInter₂
#align submodule.mem_span Submodule.mem_span
@[aesop safe 20 apply (rule_sets := [SetLike])]
theorem subset_span : s ⊆ span R s := fun _ h => mem_span.2 fun _ hp => hp h
#align submodule.subset_span Submodule.subset_span
theorem span_le {p} : span R s ≤ p ↔ s ⊆ p :=
⟨Subset.trans subset_span, fun ss _ h => mem_span.1 h _ ss⟩
#align submodule.span_le Submodule.span_le
theorem span_mono (h : s ⊆ t) : span R s ≤ span R t :=
span_le.2 <| Subset.trans h subset_span
#align submodule.span_mono Submodule.span_mono
theorem span_monotone : Monotone (span R : Set M → Submodule R M) := fun _ _ => span_mono
#align submodule.span_monotone Submodule.span_monotone
theorem span_eq_of_le (h₁ : s ⊆ p) (h₂ : p ≤ span R s) : span R s = p :=
le_antisymm (span_le.2 h₁) h₂
#align submodule.span_eq_of_le Submodule.span_eq_of_le
theorem span_eq : span R (p : Set M) = p :=
span_eq_of_le _ (Subset.refl _) subset_span
#align submodule.span_eq Submodule.span_eq
theorem span_eq_span (hs : s ⊆ span R t) (ht : t ⊆ span R s) : span R s = span R t :=
le_antisymm (span_le.2 hs) (span_le.2 ht)
#align submodule.span_eq_span Submodule.span_eq_span
lemma coe_span_eq_self [SetLike S M] [AddSubmonoidClass S M] [SMulMemClass S R M] (s : S) :
(span R (s : Set M) : Set M) = s := by
refine le_antisymm ?_ subset_span
let s' : Submodule R M :=
{ carrier := s
add_mem' := add_mem
zero_mem' := zero_mem _
smul_mem' := SMulMemClass.smul_mem }
exact span_le (p := s') |>.mpr le_rfl
@[simp]
theorem span_coe_eq_restrictScalars [Semiring S] [SMul S R] [Module S M] [IsScalarTower S R M] :
span S (p : Set M) = p.restrictScalars S :=
span_eq (p.restrictScalars S)
#align submodule.span_coe_eq_restrict_scalars Submodule.span_coe_eq_restrictScalars
theorem image_span_subset (f : F) (s : Set M) (N : Submodule R₂ M₂) :
f '' span R s ⊆ N ↔ ∀ m ∈ s, f m ∈ N := image_subset_iff.trans <| span_le (p := N.comap f)
theorem image_span_subset_span (f : F) (s : Set M) : f '' span R s ⊆ span R₂ (f '' s) :=
(image_span_subset f s _).2 fun x hx ↦ subset_span ⟨x, hx, rfl⟩
theorem map_span [RingHomSurjective σ₁₂] (f : F) (s : Set M) :
(span R s).map f = span R₂ (f '' s) :=
Eq.symm <| span_eq_of_le _ (Set.image_subset f subset_span) (image_span_subset_span f s)
#align submodule.map_span Submodule.map_span
alias _root_.LinearMap.map_span := Submodule.map_span
#align linear_map.map_span LinearMap.map_span
theorem map_span_le [RingHomSurjective σ₁₂] (f : F) (s : Set M) (N : Submodule R₂ M₂) :
map f (span R s) ≤ N ↔ ∀ m ∈ s, f m ∈ N := image_span_subset f s N
#align submodule.map_span_le Submodule.map_span_le
alias _root_.LinearMap.map_span_le := Submodule.map_span_le
#align linear_map.map_span_le LinearMap.map_span_le
@[simp]
theorem span_insert_zero : span R (insert (0 : M) s) = span R s := by
refine le_antisymm ?_ (Submodule.span_mono (Set.subset_insert 0 s))
rw [span_le, Set.insert_subset_iff]
exact ⟨by simp only [SetLike.mem_coe, Submodule.zero_mem], Submodule.subset_span⟩
#align submodule.span_insert_zero Submodule.span_insert_zero
-- See also `span_preimage_eq` below.
theorem span_preimage_le (f : F) (s : Set M₂) :
span R (f ⁻¹' s) ≤ (span R₂ s).comap f := by
rw [span_le, comap_coe]
exact preimage_mono subset_span
#align submodule.span_preimage_le Submodule.span_preimage_le
alias _root_.LinearMap.span_preimage_le := Submodule.span_preimage_le
#align linear_map.span_preimage_le LinearMap.span_preimage_le
theorem closure_subset_span {s : Set M} : (AddSubmonoid.closure s : Set M) ⊆ span R s :=
(@AddSubmonoid.closure_le _ _ _ (span R s).toAddSubmonoid).mpr subset_span
#align submodule.closure_subset_span Submodule.closure_subset_span
theorem closure_le_toAddSubmonoid_span {s : Set M} :
AddSubmonoid.closure s ≤ (span R s).toAddSubmonoid :=
closure_subset_span
#align submodule.closure_le_to_add_submonoid_span Submodule.closure_le_toAddSubmonoid_span
@[simp]
theorem span_closure {s : Set M} : span R (AddSubmonoid.closure s : Set M) = span R s :=
le_antisymm (span_le.mpr closure_subset_span) (span_mono AddSubmonoid.subset_closure)
#align submodule.span_closure Submodule.span_closure
@[elab_as_elim]
theorem span_induction {p : M → Prop} (h : x ∈ span R s) (mem : ∀ x ∈ s, p x) (zero : p 0)
(add : ∀ x y, p x → p y → p (x + y)) (smul : ∀ (a : R) (x), p x → p (a • x)) : p x :=
((@span_le (p := ⟨⟨⟨p, by intros x y; exact add x y⟩, zero⟩, smul⟩)) s).2 mem h
#align submodule.span_induction Submodule.span_induction
theorem span_induction₂ {p : M → M → Prop} {a b : M} (ha : a ∈ Submodule.span R s)
(hb : b ∈ Submodule.span R s) (mem_mem : ∀ x ∈ s, ∀ y ∈ s, p x y)
(zero_left : ∀ y, p 0 y) (zero_right : ∀ x, p x 0)
(add_left : ∀ x₁ x₂ y, p x₁ y → p x₂ y → p (x₁ + x₂) y)
(add_right : ∀ x y₁ y₂, p x y₁ → p x y₂ → p x (y₁ + y₂))
(smul_left : ∀ (r : R) x y, p x y → p (r • x) y)
(smul_right : ∀ (r : R) x y, p x y → p x (r • y)) : p a b :=
Submodule.span_induction ha
(fun x hx => Submodule.span_induction hb (mem_mem x hx) (zero_right x) (add_right x) fun r =>
smul_right r x)
(zero_left b) (fun x₁ x₂ => add_left x₁ x₂ b) fun r x => smul_left r x b
@[elab_as_elim]
theorem span_induction' {p : ∀ x, x ∈ span R s → Prop}
(mem : ∀ (x) (h : x ∈ s), p x (subset_span h))
(zero : p 0 (Submodule.zero_mem _))
(add : ∀ x hx y hy, p x hx → p y hy → p (x + y) (Submodule.add_mem _ ‹_› ‹_›))
(smul : ∀ (a : R) (x hx), p x hx → p (a • x) (Submodule.smul_mem _ _ ‹_›)) {x}
(hx : x ∈ span R s) : p x hx := by
refine Exists.elim ?_ fun (hx : x ∈ span R s) (hc : p x hx) => hc
refine
span_induction hx (fun m hm => ⟨subset_span hm, mem m hm⟩) ⟨zero_mem _, zero⟩
(fun x y hx hy =>
Exists.elim hx fun hx' hx =>
Exists.elim hy fun hy' hy => ⟨add_mem hx' hy', add _ _ _ _ hx hy⟩)
fun r x hx => Exists.elim hx fun hx' hx => ⟨smul_mem _ _ hx', smul r _ _ hx⟩
#align submodule.span_induction' Submodule.span_induction'
open AddSubmonoid in
theorem span_eq_closure {s : Set M} : (span R s).toAddSubmonoid = closure (@univ R • s) := by
refine le_antisymm
(fun x hx ↦ span_induction hx (fun x hx ↦ subset_closure ⟨1, trivial, x, hx, one_smul R x⟩)
(zero_mem _) (fun _ _ ↦ add_mem) fun r m hm ↦ closure_induction hm ?_ ?_ fun _ _ h h' ↦ ?_)
(closure_le.2 ?_)
· rintro _ ⟨r, -, m, hm, rfl⟩; exact smul_mem _ _ (subset_span hm)
· rintro _ ⟨r', -, m, hm, rfl⟩; exact subset_closure ⟨r * r', trivial, m, hm, mul_smul r r' m⟩
· rw [smul_zero]; apply zero_mem
· rw [smul_add]; exact add_mem h h'
@[elab_as_elim]
theorem closure_induction {p : M → Prop} (h : x ∈ span R s) (zero : p 0)
(add : ∀ x y, p x → p y → p (x + y)) (smul_mem : ∀ r : R, ∀ x ∈ s, p (r • x)) : p x := by
rw [← mem_toAddSubmonoid, span_eq_closure] at h
refine AddSubmonoid.closure_induction h ?_ zero add
rintro _ ⟨r, -, m, hm, rfl⟩
exact smul_mem r m hm
@[elab_as_elim]
theorem closure_induction' {p : ∀ x, x ∈ span R s → Prop}
(zero : p 0 (Submodule.zero_mem _))
(add : ∀ x hx y hy, p x hx → p y hy → p (x + y) (Submodule.add_mem _ ‹_› ‹_›))
(smul_mem : ∀ (r x) (h : x ∈ s), p (r • x) (Submodule.smul_mem _ _ <| subset_span h)) {x}
(hx : x ∈ span R s) : p x hx := by
refine Exists.elim ?_ fun (hx : x ∈ span R s) (hc : p x hx) ↦ hc
refine closure_induction hx ⟨zero_mem _, zero⟩
(fun x y hx hy ↦ Exists.elim hx fun hx' hx ↦
Exists.elim hy fun hy' hy ↦ ⟨add_mem hx' hy', add _ _ _ _ hx hy⟩)
fun r x hx ↦ ⟨Submodule.smul_mem _ _ (subset_span hx), smul_mem r x hx⟩
@[simp]
theorem span_span_coe_preimage : span R (((↑) : span R s → M) ⁻¹' s) = ⊤ :=
eq_top_iff.2 fun x ↦ Subtype.recOn x fun x hx _ ↦ by
refine span_induction' (p := fun x hx ↦ (⟨x, hx⟩ : span R s) ∈ span R (Subtype.val ⁻¹' s))
(fun x' hx' ↦ subset_span hx') ?_ (fun x _ y _ ↦ ?_) (fun r x _ ↦ ?_) hx
· exact zero_mem _
· exact add_mem
· exact smul_mem _ _
#align submodule.span_span_coe_preimage Submodule.span_span_coe_preimage
@[simp]
lemma span_setOf_mem_eq_top :
span R {x : span R s | (x : M) ∈ s} = ⊤ :=
span_span_coe_preimage
theorem span_nat_eq_addSubmonoid_closure (s : Set M) :
(span ℕ s).toAddSubmonoid = AddSubmonoid.closure s := by
refine Eq.symm (AddSubmonoid.closure_eq_of_le subset_span ?_)
apply (OrderIso.to_galoisConnection (AddSubmonoid.toNatSubmodule (M := M)).symm).l_le
(a := span ℕ s) (b := AddSubmonoid.closure s)
rw [span_le]
exact AddSubmonoid.subset_closure
#align submodule.span_nat_eq_add_submonoid_closure Submodule.span_nat_eq_addSubmonoid_closure
@[simp]
theorem span_nat_eq (s : AddSubmonoid M) : (span ℕ (s : Set M)).toAddSubmonoid = s := by
rw [span_nat_eq_addSubmonoid_closure, s.closure_eq]
#align submodule.span_nat_eq Submodule.span_nat_eq
theorem span_int_eq_addSubgroup_closure {M : Type*} [AddCommGroup M] (s : Set M) :
(span ℤ s).toAddSubgroup = AddSubgroup.closure s :=
Eq.symm <|
AddSubgroup.closure_eq_of_le _ subset_span fun x hx =>
span_induction hx (fun x hx => AddSubgroup.subset_closure hx) (AddSubgroup.zero_mem _)
(fun _ _ => AddSubgroup.add_mem _) fun _ _ _ => AddSubgroup.zsmul_mem _ ‹_› _
#align submodule.span_int_eq_add_subgroup_closure Submodule.span_int_eq_addSubgroup_closure
@[simp]
theorem span_int_eq {M : Type*} [AddCommGroup M] (s : AddSubgroup M) :
(span ℤ (s : Set M)).toAddSubgroup = s := by rw [span_int_eq_addSubgroup_closure, s.closure_eq]
#align submodule.span_int_eq Submodule.span_int_eq
section
variable (R M)
protected def gi : GaloisInsertion (@span R M _ _ _) (↑) where
choice s _ := span R s
gc _ _ := span_le
le_l_u _ := subset_span
choice_eq _ _ := rfl
#align submodule.gi Submodule.gi
end
@[simp]
theorem span_empty : span R (∅ : Set M) = ⊥ :=
(Submodule.gi R M).gc.l_bot
#align submodule.span_empty Submodule.span_empty
@[simp]
theorem span_univ : span R (univ : Set M) = ⊤ :=
eq_top_iff.2 <| SetLike.le_def.2 <| subset_span
#align submodule.span_univ Submodule.span_univ
theorem span_union (s t : Set M) : span R (s ∪ t) = span R s ⊔ span R t :=
(Submodule.gi R M).gc.l_sup
#align submodule.span_union Submodule.span_union
theorem span_iUnion {ι} (s : ι → Set M) : span R (⋃ i, s i) = ⨆ i, span R (s i) :=
(Submodule.gi R M).gc.l_iSup
#align submodule.span_Union Submodule.span_iUnion
theorem span_iUnion₂ {ι} {κ : ι → Sort*} (s : ∀ i, κ i → Set M) :
span R (⋃ (i) (j), s i j) = ⨆ (i) (j), span R (s i j) :=
(Submodule.gi R M).gc.l_iSup₂
#align submodule.span_Union₂ Submodule.span_iUnion₂
theorem span_attach_biUnion [DecidableEq M] {α : Type*} (s : Finset α) (f : s → Finset M) :
span R (s.attach.biUnion f : Set M) = ⨆ x, span R (f x) := by simp [span_iUnion]
#align submodule.span_attach_bUnion Submodule.span_attach_biUnion
theorem sup_span : p ⊔ span R s = span R (p ∪ s) := by rw [Submodule.span_union, p.span_eq]
#align submodule.sup_span Submodule.sup_span
theorem span_sup : span R s ⊔ p = span R (s ∪ p) := by rw [Submodule.span_union, p.span_eq]
#align submodule.span_sup Submodule.span_sup
notation:1000
R " ∙ " x => span R (singleton x)
theorem span_eq_iSup_of_singleton_spans (s : Set M) : span R s = ⨆ x ∈ s, R ∙ x := by
simp only [← span_iUnion, Set.biUnion_of_singleton s]
#align submodule.span_eq_supr_of_singleton_spans Submodule.span_eq_iSup_of_singleton_spans
theorem span_range_eq_iSup {ι : Sort*} {v : ι → M} : span R (range v) = ⨆ i, R ∙ v i := by
rw [span_eq_iSup_of_singleton_spans, iSup_range]
#align submodule.span_range_eq_supr Submodule.span_range_eq_iSup
theorem span_smul_le (s : Set M) (r : R) : span R (r • s) ≤ span R s := by
rw [span_le]
rintro _ ⟨x, hx, rfl⟩
exact smul_mem (span R s) r (subset_span hx)
#align submodule.span_smul_le Submodule.span_smul_le
theorem subset_span_trans {U V W : Set M} (hUV : U ⊆ Submodule.span R V)
(hVW : V ⊆ Submodule.span R W) : U ⊆ Submodule.span R W :=
(Submodule.gi R M).gc.le_u_l_trans hUV hVW
#align submodule.subset_span_trans Submodule.subset_span_trans
theorem span_smul_eq_of_isUnit (s : Set M) (r : R) (hr : IsUnit r) : span R (r • s) = span R s := by
apply le_antisymm
· apply span_smul_le
· convert span_smul_le (r • s) ((hr.unit⁻¹ : _) : R)
rw [smul_smul]
erw [hr.unit.inv_val]
rw [one_smul]
#align submodule.span_smul_eq_of_is_unit Submodule.span_smul_eq_of_isUnit
@[simp]
theorem coe_iSup_of_directed {ι} [Nonempty ι] (S : ι → Submodule R M)
(H : Directed (· ≤ ·) S) : ((iSup S: Submodule R M) : Set M) = ⋃ i, S i :=
let s : Submodule R M :=
{ __ := AddSubmonoid.copy _ _ (AddSubmonoid.coe_iSup_of_directed H).symm
smul_mem' := fun r _ hx ↦ have ⟨i, hi⟩ := Set.mem_iUnion.mp hx
Set.mem_iUnion.mpr ⟨i, (S i).smul_mem' r hi⟩ }
have : iSup S = s := le_antisymm
(iSup_le fun i ↦ le_iSup (fun i ↦ (S i : Set M)) i) (Set.iUnion_subset fun _ ↦ le_iSup S _)
this.symm ▸ rfl
#align submodule.coe_supr_of_directed Submodule.coe_iSup_of_directed
@[simp]
theorem mem_iSup_of_directed {ι} [Nonempty ι] (S : ι → Submodule R M) (H : Directed (· ≤ ·) S) {x} :
x ∈ iSup S ↔ ∃ i, x ∈ S i := by
rw [← SetLike.mem_coe, coe_iSup_of_directed S H, mem_iUnion]
rfl
#align submodule.mem_supr_of_directed Submodule.mem_iSup_of_directed
theorem mem_sSup_of_directed {s : Set (Submodule R M)} {z} (hs : s.Nonempty)
(hdir : DirectedOn (· ≤ ·) s) : z ∈ sSup s ↔ ∃ y ∈ s, z ∈ y := by
have : Nonempty s := hs.to_subtype
simp only [sSup_eq_iSup', mem_iSup_of_directed _ hdir.directed_val, SetCoe.exists, Subtype.coe_mk,
exists_prop]
#align submodule.mem_Sup_of_directed Submodule.mem_sSup_of_directed
@[norm_cast, simp]
theorem coe_iSup_of_chain (a : ℕ →o Submodule R M) : (↑(⨆ k, a k) : Set M) = ⋃ k, (a k : Set M) :=
coe_iSup_of_directed a a.monotone.directed_le
#align submodule.coe_supr_of_chain Submodule.coe_iSup_of_chain
theorem coe_scott_continuous :
OmegaCompletePartialOrder.Continuous' ((↑) : Submodule R M → Set M) :=
⟨SetLike.coe_mono, coe_iSup_of_chain⟩
#align submodule.coe_scott_continuous Submodule.coe_scott_continuous
@[simp]
theorem mem_iSup_of_chain (a : ℕ →o Submodule R M) (m : M) : (m ∈ ⨆ k, a k) ↔ ∃ k, m ∈ a k :=
mem_iSup_of_directed a a.monotone.directed_le
#align submodule.mem_supr_of_chain Submodule.mem_iSup_of_chain
section
variable {p p'}
theorem mem_sup : x ∈ p ⊔ p' ↔ ∃ y ∈ p, ∃ z ∈ p', y + z = x :=
⟨fun h => by
rw [← span_eq p, ← span_eq p', ← span_union] at h
refine span_induction h ?_ ?_ ?_ ?_
· rintro y (h | h)
· exact ⟨y, h, 0, by simp, by simp⟩
· exact ⟨0, by simp, y, h, by simp⟩
· exact ⟨0, by simp, 0, by simp⟩
· rintro _ _ ⟨y₁, hy₁, z₁, hz₁, rfl⟩ ⟨y₂, hy₂, z₂, hz₂, rfl⟩
exact ⟨_, add_mem hy₁ hy₂, _, add_mem hz₁ hz₂, by
rw [add_assoc, add_assoc, ← add_assoc y₂, ← add_assoc z₁, add_comm y₂]⟩
· rintro a _ ⟨y, hy, z, hz, rfl⟩
exact ⟨_, smul_mem _ a hy, _, smul_mem _ a hz, by simp [smul_add]⟩, by
rintro ⟨y, hy, z, hz, rfl⟩
exact add_mem ((le_sup_left : p ≤ p ⊔ p') hy) ((le_sup_right : p' ≤ p ⊔ p') hz)⟩
#align submodule.mem_sup Submodule.mem_sup
theorem mem_sup' : x ∈ p ⊔ p' ↔ ∃ (y : p) (z : p'), (y : M) + z = x :=
mem_sup.trans <| by simp only [Subtype.exists, exists_prop]
#align submodule.mem_sup' Submodule.mem_sup'
lemma exists_add_eq_of_codisjoint (h : Codisjoint p p') (x : M) :
∃ y ∈ p, ∃ z ∈ p', y + z = x := by
suffices x ∈ p ⊔ p' by exact Submodule.mem_sup.mp this
simpa only [h.eq_top] using Submodule.mem_top
variable (p p')
theorem coe_sup : ↑(p ⊔ p') = (p + p' : Set M) := by
ext
rw [SetLike.mem_coe, mem_sup, Set.mem_add]
simp
#align submodule.coe_sup Submodule.coe_sup
theorem sup_toAddSubmonoid : (p ⊔ p').toAddSubmonoid = p.toAddSubmonoid ⊔ p'.toAddSubmonoid := by
ext x
rw [mem_toAddSubmonoid, mem_sup, AddSubmonoid.mem_sup]
rfl
#align submodule.sup_to_add_submonoid Submodule.sup_toAddSubmonoid
theorem sup_toAddSubgroup {R M : Type*} [Ring R] [AddCommGroup M] [Module R M]
(p p' : Submodule R M) : (p ⊔ p').toAddSubgroup = p.toAddSubgroup ⊔ p'.toAddSubgroup := by
ext x
rw [mem_toAddSubgroup, mem_sup, AddSubgroup.mem_sup]
rfl
#align submodule.sup_to_add_subgroup Submodule.sup_toAddSubgroup
end
theorem mem_span_singleton_self (x : M) : x ∈ R ∙ x :=
subset_span rfl
#align submodule.mem_span_singleton_self Submodule.mem_span_singleton_self
theorem nontrivial_span_singleton {x : M} (h : x ≠ 0) : Nontrivial (R ∙ x) :=
⟨by
use 0, ⟨x, Submodule.mem_span_singleton_self x⟩
intro H
rw [eq_comm, Submodule.mk_eq_zero] at H
exact h H⟩
#align submodule.nontrivial_span_singleton Submodule.nontrivial_span_singleton
theorem mem_span_singleton {y : M} : (x ∈ R ∙ y) ↔ ∃ a : R, a • y = x :=
⟨fun h => by
refine span_induction h ?_ ?_ ?_ ?_
· rintro y (rfl | ⟨⟨_⟩⟩)
exact ⟨1, by simp⟩
· exact ⟨0, by simp⟩
· rintro _ _ ⟨a, rfl⟩ ⟨b, rfl⟩
exact ⟨a + b, by simp [add_smul]⟩
· rintro a _ ⟨b, rfl⟩
exact ⟨a * b, by simp [smul_smul]⟩, by
rintro ⟨a, y, rfl⟩; exact smul_mem _ _ (subset_span <| by simp)⟩
#align submodule.mem_span_singleton Submodule.mem_span_singleton
theorem le_span_singleton_iff {s : Submodule R M} {v₀ : M} :
(s ≤ R ∙ v₀) ↔ ∀ v ∈ s, ∃ r : R, r • v₀ = v := by simp_rw [SetLike.le_def, mem_span_singleton]
#align submodule.le_span_singleton_iff Submodule.le_span_singleton_iff
variable (R)
theorem span_singleton_eq_top_iff (x : M) : (R ∙ x) = ⊤ ↔ ∀ v, ∃ r : R, r • x = v := by
rw [eq_top_iff, le_span_singleton_iff]
tauto
#align submodule.span_singleton_eq_top_iff Submodule.span_singleton_eq_top_iff
@[simp]
theorem span_zero_singleton : (R ∙ (0 : M)) = ⊥ := by
ext
simp [mem_span_singleton, eq_comm]
#align submodule.span_zero_singleton Submodule.span_zero_singleton
theorem span_singleton_eq_range (y : M) : ↑(R ∙ y) = range ((· • y) : R → M) :=
Set.ext fun _ => mem_span_singleton
#align submodule.span_singleton_eq_range Submodule.span_singleton_eq_range
theorem span_singleton_smul_le {S} [Monoid S] [SMul S R] [MulAction S M] [IsScalarTower S R M]
(r : S) (x : M) : (R ∙ r • x) ≤ R ∙ x := by
rw [span_le, Set.singleton_subset_iff, SetLike.mem_coe]
exact smul_of_tower_mem _ _ (mem_span_singleton_self _)
#align submodule.span_singleton_smul_le Submodule.span_singleton_smul_le
theorem span_singleton_group_smul_eq {G} [Group G] [SMul G R] [MulAction G M] [IsScalarTower G R M]
(g : G) (x : M) : (R ∙ g • x) = R ∙ x := by
refine le_antisymm (span_singleton_smul_le R g x) ?_
convert span_singleton_smul_le R g⁻¹ (g • x)
exact (inv_smul_smul g x).symm
#align submodule.span_singleton_group_smul_eq Submodule.span_singleton_group_smul_eq
variable {R}
theorem span_singleton_smul_eq {r : R} (hr : IsUnit r) (x : M) : (R ∙ r • x) = R ∙ x := by
lift r to Rˣ using hr
rw [← Units.smul_def]
exact span_singleton_group_smul_eq R r x
#align submodule.span_singleton_smul_eq Submodule.span_singleton_smul_eq
theorem disjoint_span_singleton {K E : Type*} [DivisionRing K] [AddCommGroup E] [Module K E]
{s : Submodule K E} {x : E} : Disjoint s (K ∙ x) ↔ x ∈ s → x = 0 := by
refine disjoint_def.trans ⟨fun H hx => H x hx <| subset_span <| mem_singleton x, ?_⟩
intro H y hy hyx
obtain ⟨c, rfl⟩ := mem_span_singleton.1 hyx
by_cases hc : c = 0
· rw [hc, zero_smul]
· rw [s.smul_mem_iff hc] at hy
rw [H hy, smul_zero]
#align submodule.disjoint_span_singleton Submodule.disjoint_span_singleton
theorem disjoint_span_singleton' {K E : Type*} [DivisionRing K] [AddCommGroup E] [Module K E]
{p : Submodule K E} {x : E} (x0 : x ≠ 0) : Disjoint p (K ∙ x) ↔ x ∉ p :=
disjoint_span_singleton.trans ⟨fun h₁ h₂ => x0 (h₁ h₂), fun h₁ h₂ => (h₁ h₂).elim⟩
#align submodule.disjoint_span_singleton' Submodule.disjoint_span_singleton'
theorem mem_span_singleton_trans {x y z : M} (hxy : x ∈ R ∙ y) (hyz : y ∈ R ∙ z) : x ∈ R ∙ z := by
rw [← SetLike.mem_coe, ← singleton_subset_iff] at *
exact Submodule.subset_span_trans hxy hyz
#align submodule.mem_span_singleton_trans Submodule.mem_span_singleton_trans
theorem span_insert (x) (s : Set M) : span R (insert x s) = (R ∙ x) ⊔ span R s := by
rw [insert_eq, span_union]
#align submodule.span_insert Submodule.span_insert
theorem span_insert_eq_span (h : x ∈ span R s) : span R (insert x s) = span R s :=
span_eq_of_le _ (Set.insert_subset_iff.mpr ⟨h, subset_span⟩) (span_mono <| subset_insert _ _)
#align submodule.span_insert_eq_span Submodule.span_insert_eq_span
theorem span_span : span R (span R s : Set M) = span R s :=
span_eq _
#align submodule.span_span Submodule.span_span
theorem mem_span_insert {y} :
x ∈ span R (insert y s) ↔ ∃ a : R, ∃ z ∈ span R s, x = a • y + z := by
simp [span_insert, mem_sup, mem_span_singleton, eq_comm (a := x)]
#align submodule.mem_span_insert Submodule.mem_span_insert
theorem mem_span_pair {x y z : M} :
z ∈ span R ({x, y} : Set M) ↔ ∃ a b : R, a • x + b • y = z := by
simp_rw [mem_span_insert, mem_span_singleton, exists_exists_eq_and, eq_comm]
#align submodule.mem_span_pair Submodule.mem_span_pair
variable (R S s)
theorem span_le_restrictScalars [Semiring S] [SMul R S] [Module S M] [IsScalarTower R S M] :
span R s ≤ (span S s).restrictScalars R :=
Submodule.span_le.2 Submodule.subset_span
#align submodule.span_le_restrict_scalars Submodule.span_le_restrictScalars
@[simp]
theorem span_subset_span [Semiring S] [SMul R S] [Module S M] [IsScalarTower R S M] :
↑(span R s) ⊆ (span S s : Set M) :=
span_le_restrictScalars R S s
#align submodule.span_subset_span Submodule.span_subset_span
theorem span_span_of_tower [Semiring S] [SMul R S] [Module S M] [IsScalarTower R S M] :
span S (span R s : Set M) = span S s :=
le_antisymm (span_le.2 <| span_subset_span R S s) (span_mono subset_span)
#align submodule.span_span_of_tower Submodule.span_span_of_tower
variable {R S s}
theorem span_eq_bot : span R (s : Set M) = ⊥ ↔ ∀ x ∈ s, (x : M) = 0 :=
eq_bot_iff.trans
⟨fun H _ h => (mem_bot R).1 <| H <| subset_span h, fun H =>
span_le.2 fun x h => (mem_bot R).2 <| H x h⟩
#align submodule.span_eq_bot Submodule.span_eq_bot
@[simp]
theorem span_singleton_eq_bot : (R ∙ x) = ⊥ ↔ x = 0 :=
span_eq_bot.trans <| by simp
#align submodule.span_singleton_eq_bot Submodule.span_singleton_eq_bot
@[simp]
theorem span_zero : span R (0 : Set M) = ⊥ := by rw [← singleton_zero, span_singleton_eq_bot]
#align submodule.span_zero Submodule.span_zero
@[simp]
theorem span_singleton_le_iff_mem (m : M) (p : Submodule R M) : (R ∙ m) ≤ p ↔ m ∈ p := by
rw [span_le, singleton_subset_iff, SetLike.mem_coe]
#align submodule.span_singleton_le_iff_mem Submodule.span_singleton_le_iff_mem
| Mathlib/LinearAlgebra/Span.lean | 627 | 640 | theorem span_singleton_eq_span_singleton {R M : Type*} [Ring R] [AddCommGroup M] [Module R M]
[NoZeroSMulDivisors R M] {x y : M} : ((R ∙ x) = R ∙ y) ↔ ∃ z : Rˣ, z • x = y := by |
constructor
· simp only [le_antisymm_iff, span_singleton_le_iff_mem, mem_span_singleton]
rintro ⟨⟨a, rfl⟩, b, hb⟩
rcases eq_or_ne y 0 with rfl | hy; · simp
refine ⟨⟨b, a, ?_, ?_⟩, hb⟩
· apply smul_left_injective R hy
simpa only [mul_smul, one_smul]
· rw [← hb] at hy
apply smul_left_injective R (smul_ne_zero_iff.1 hy).2
simp only [mul_smul, one_smul, hb]
· rintro ⟨u, rfl⟩
exact (span_singleton_group_smul_eq _ _ _).symm
|
import Mathlib.Order.ConditionallyCompleteLattice.Finset
import Mathlib.Order.Interval.Finset.Nat
#align_import data.nat.lattice from "leanprover-community/mathlib"@"52fa514ec337dd970d71d8de8d0fd68b455a1e54"
assert_not_exists MonoidWithZero
open Set
namespace Nat
open scoped Classical
noncomputable instance : InfSet ℕ :=
⟨fun s ↦ if h : ∃ n, n ∈ s then @Nat.find (fun n ↦ n ∈ s) _ h else 0⟩
noncomputable instance : SupSet ℕ :=
⟨fun s ↦ if h : ∃ n, ∀ a ∈ s, a ≤ n then @Nat.find (fun n ↦ ∀ a ∈ s, a ≤ n) _ h else 0⟩
theorem sInf_def {s : Set ℕ} (h : s.Nonempty) : sInf s = @Nat.find (fun n ↦ n ∈ s) _ h :=
dif_pos _
#align nat.Inf_def Nat.sInf_def
theorem sSup_def {s : Set ℕ} (h : ∃ n, ∀ a ∈ s, a ≤ n) :
sSup s = @Nat.find (fun n ↦ ∀ a ∈ s, a ≤ n) _ h :=
dif_pos _
#align nat.Sup_def Nat.sSup_def
theorem _root_.Set.Infinite.Nat.sSup_eq_zero {s : Set ℕ} (h : s.Infinite) : sSup s = 0 :=
dif_neg fun ⟨n, hn⟩ ↦
let ⟨k, hks, hk⟩ := h.exists_gt n
(hn k hks).not_lt hk
#align set.infinite.nat.Sup_eq_zero Set.Infinite.Nat.sSup_eq_zero
@[simp]
theorem sInf_eq_zero {s : Set ℕ} : sInf s = 0 ↔ 0 ∈ s ∨ s = ∅ := by
cases eq_empty_or_nonempty s with
| inl h => subst h
simp only [or_true_iff, eq_self_iff_true, iff_true_iff, iInf, InfSet.sInf,
mem_empty_iff_false, exists_false, dif_neg, not_false_iff]
| inr h => simp only [h.ne_empty, or_false_iff, Nat.sInf_def, h, Nat.find_eq_zero]
#align nat.Inf_eq_zero Nat.sInf_eq_zero
@[simp]
| Mathlib/Data/Nat/Lattice.lean | 59 | 62 | theorem sInf_empty : sInf ∅ = 0 := by |
rw [sInf_eq_zero]
right
rfl
|
import Mathlib.CategoryTheory.Monad.Types
import Mathlib.CategoryTheory.Monad.Limits
import Mathlib.CategoryTheory.Equivalence
import Mathlib.Topology.Category.CompHaus.Basic
import Mathlib.Topology.Category.Profinite.Basic
import Mathlib.Data.Set.Constructions
#align_import topology.category.Compactum from "leanprover-community/mathlib"@"f2ce6086713c78a7f880485f7917ea547a215982"
-- Porting note: "Compactum" is already upper case
set_option linter.uppercaseLean3 false
universe u
open CategoryTheory Filter Ultrafilter TopologicalSpace CategoryTheory.Limits FiniteInter
open scoped Classical
open Topology
local notation "β" => ofTypeMonad Ultrafilter
def Compactum :=
Monad.Algebra β deriving Category, Inhabited
#align Compactum Compactum
namespace Compactum
def forget : Compactum ⥤ Type* :=
Monad.forget _ --deriving CreatesLimits, Faithful
-- Porting note: deriving fails, adding manually. Note `CreatesLimits` now noncomputable
#align Compactum.forget Compactum.forget
instance : forget.Faithful :=
show (Monad.forget _).Faithful from inferInstance
noncomputable instance : CreatesLimits forget :=
show CreatesLimits <| Monad.forget _ from inferInstance
def free : Type* ⥤ Compactum :=
Monad.free _
#align Compactum.free Compactum.free
def adj : free ⊣ forget :=
Monad.adj _
#align Compactum.adj Compactum.adj
-- Basic instances
instance : ConcreteCategory Compactum where forget := forget
-- Porting note: changed from forget to X.A
instance : CoeSort Compactum Type* :=
⟨fun X => X.A⟩
instance {X Y : Compactum} : CoeFun (X ⟶ Y) fun _ => X → Y :=
⟨fun f => f.f⟩
instance : HasLimits Compactum :=
hasLimits_of_hasLimits_createsLimits forget
def str (X : Compactum) : Ultrafilter X → X :=
X.a
#align Compactum.str Compactum.str
def join (X : Compactum) : Ultrafilter (Ultrafilter X) → Ultrafilter X :=
(β ).μ.app _
#align Compactum.join Compactum.join
def incl (X : Compactum) : X → Ultrafilter X :=
(β ).η.app _
#align Compactum.incl Compactum.incl
@[simp]
theorem str_incl (X : Compactum) (x : X) : X.str (X.incl x) = x := by
change ((β ).η.app _ ≫ X.a) _ = _
rw [Monad.Algebra.unit]
rfl
#align Compactum.str_incl Compactum.str_incl
@[simp]
theorem str_hom_commute (X Y : Compactum) (f : X ⟶ Y) (xs : Ultrafilter X) :
f (X.str xs) = Y.str (map f xs) := by
change (X.a ≫ f.f) _ = _
rw [← f.h]
rfl
#align Compactum.str_hom_commute Compactum.str_hom_commute
@[simp]
theorem join_distrib (X : Compactum) (uux : Ultrafilter (Ultrafilter X)) :
X.str (X.join uux) = X.str (map X.str uux) := by
change ((β ).μ.app _ ≫ X.a) _ = _
rw [Monad.Algebra.assoc]
rfl
#align Compactum.join_distrib Compactum.join_distrib
-- Porting note: changes to X.A from X since Lean can't see through X to X.A below
instance {X : Compactum} : TopologicalSpace X.A where
IsOpen U := ∀ F : Ultrafilter X, X.str F ∈ U → U ∈ F
isOpen_univ _ _ := Filter.univ_sets _
isOpen_inter _ _ h3 h4 _ h6 := Filter.inter_sets _ (h3 _ h6.1) (h4 _ h6.2)
isOpen_sUnion := fun _ h1 _ ⟨T, hT, h2⟩ =>
mem_of_superset (h1 T hT _ h2) (Set.subset_sUnion_of_mem hT)
theorem isClosed_iff {X : Compactum} (S : Set X) :
IsClosed S ↔ ∀ F : Ultrafilter X, S ∈ F → X.str F ∈ S := by
rw [← isOpen_compl_iff]
constructor
· intro cond F h
by_contra c
specialize cond F c
rw [compl_mem_iff_not_mem] at cond
contradiction
· intro h1 F h2
specialize h1 F
cases' F.mem_or_compl_mem S with h h
exacts [absurd (h1 h) h2, h]
#align Compactum.is_closed_iff Compactum.isClosed_iff
instance {X : Compactum} : CompactSpace X := by
constructor
rw [isCompact_iff_ultrafilter_le_nhds]
intro F _
refine ⟨X.str F, by tauto, ?_⟩
rw [le_nhds_iff]
intro S h1 h2
exact h2 F h1
private def basic {X : Compactum} (A : Set X) : Set (Ultrafilter X) :=
{ F | A ∈ F }
private def cl {X : Compactum} (A : Set X) : Set X :=
X.str '' basic A
private theorem basic_inter {X : Compactum} (A B : Set X) : basic (A ∩ B) = basic A ∩ basic B := by
ext G
constructor
· intro hG
constructor <;> filter_upwards [hG] with _
exacts [And.left, And.right]
· rintro ⟨h1, h2⟩
exact inter_mem h1 h2
private theorem subset_cl {X : Compactum} (A : Set X) : A ⊆ cl A := fun a ha =>
⟨X.incl a, ha, by simp⟩
private theorem cl_cl {X : Compactum} (A : Set X) : cl (cl A) ⊆ cl A := by
rintro _ ⟨F, hF, rfl⟩
-- Notation to be used in this proof.
let fsu := Finset (Set (Ultrafilter X))
let ssu := Set (Set (Ultrafilter X))
let ι : fsu → ssu := fun x ↦ ↑x
let C0 : ssu := { Z | ∃ B ∈ F, X.str ⁻¹' B = Z }
let AA := { G : Ultrafilter X | A ∈ G }
let C1 := insert AA C0
let C2 := finiteInterClosure C1
-- C0 is closed under intersections.
have claim1 : ∀ (B) (_ : B ∈ C0) (C) (_ : C ∈ C0), B ∩ C ∈ C0 := by
rintro B ⟨Q, hQ, rfl⟩ C ⟨R, hR, rfl⟩
use Q ∩ R
simp only [and_true_iff, eq_self_iff_true, Set.preimage_inter]
exact inter_sets _ hQ hR
-- All sets in C0 are nonempty.
have claim2 : ∀ B ∈ C0, Set.Nonempty B := by
rintro B ⟨Q, hQ, rfl⟩
obtain ⟨q⟩ := Filter.nonempty_of_mem hQ
use X.incl q
simpa
-- The intersection of AA with every set in C0 is nonempty.
have claim3 : ∀ B ∈ C0, (AA ∩ B).Nonempty := by
rintro B ⟨Q, hQ, rfl⟩
have : (Q ∩ cl A).Nonempty := Filter.nonempty_of_mem (inter_mem hQ hF)
rcases this with ⟨q, hq1, P, hq2, hq3⟩
refine ⟨P, hq2, ?_⟩
rw [← hq3] at hq1
simpa
-- Suffices to show that the intersection of any finite subcollection of C1 is nonempty.
suffices ∀ T : fsu, ι T ⊆ C1 → (⋂₀ ι T).Nonempty by
obtain ⟨G, h1⟩ := exists_ultrafilter_of_finite_inter_nonempty _ this
use X.join G
have : G.map X.str = F := Ultrafilter.coe_le_coe.1 fun S hS => h1 (Or.inr ⟨S, hS, rfl⟩)
rw [join_distrib, this]
exact ⟨h1 (Or.inl rfl), rfl⟩
-- C2 is closed under finite intersections (by construction!).
have claim4 := finiteInterClosure_finiteInter C1
-- C0 is closed under finite intersections by claim1.
have claim5 : FiniteInter C0 := ⟨⟨_, univ_mem, Set.preimage_univ⟩, claim1⟩
-- Every element of C2 is nonempty.
have claim6 : ∀ P ∈ C2, (P : Set (Ultrafilter X)).Nonempty := by
suffices ∀ P ∈ C2, P ∈ C0 ∨ ∃ Q ∈ C0, P = AA ∩ Q by
intro P hP
cases' this P hP with h h
· exact claim2 _ h
· rcases h with ⟨Q, hQ, rfl⟩
exact claim3 _ hQ
intro P hP
exact claim5.finiteInterClosure_insert _ hP
intro T hT
-- Suffices to show that the intersection of the T's is contained in C2.
suffices ⋂₀ ι T ∈ C2 by exact claim6 _ this
-- Finish
apply claim4.finiteInter_mem T
intro t ht
exact finiteInterClosure.basic (@hT t ht)
theorem isClosed_cl {X : Compactum} (A : Set X) : IsClosed (cl A) := by
rw [isClosed_iff]
intro F hF
exact cl_cl _ ⟨F, hF, rfl⟩
#align Compactum.is_closed_cl Compactum.isClosed_cl
theorem str_eq_of_le_nhds {X : Compactum} (F : Ultrafilter X) (x : X) : ↑F ≤ 𝓝 x → X.str F = x := by
-- Notation to be used in this proof.
let fsu := Finset (Set (Ultrafilter X))
let ssu := Set (Set (Ultrafilter X))
let ι : fsu → ssu := fun x ↦ ↑x
let T0 : ssu := { S | ∃ A ∈ F, S = basic A }
let AA := X.str ⁻¹' {x}
let T1 := insert AA T0
let T2 := finiteInterClosure T1
intro cond
-- If F contains a closed set A, then x is contained in A.
have claim1 : ∀ A : Set X, IsClosed A → A ∈ F → x ∈ A := by
intro A hA h
by_contra H
rw [le_nhds_iff] at cond
specialize cond Aᶜ H hA.isOpen_compl
rw [Ultrafilter.mem_coe, Ultrafilter.compl_mem_iff_not_mem] at cond
contradiction
-- If A ∈ F, then x ∈ cl A.
have claim2 : ∀ A : Set X, A ∈ F → x ∈ cl A := by
intro A hA
exact claim1 (cl A) (isClosed_cl A) (mem_of_superset hA (subset_cl A))
-- T0 is closed under intersections.
have claim3 : ∀ (S1) (_ : S1 ∈ T0) (S2) (_ : S2 ∈ T0), S1 ∩ S2 ∈ T0 := by
rintro S1 ⟨S1, hS1, rfl⟩ S2 ⟨S2, hS2, rfl⟩
exact ⟨S1 ∩ S2, inter_mem hS1 hS2, by simp [basic_inter]⟩
-- For every S ∈ T0, the intersection AA ∩ S is nonempty.
have claim4 : ∀ S ∈ T0, (AA ∩ S).Nonempty := by
rintro S ⟨S, hS, rfl⟩
rcases claim2 _ hS with ⟨G, hG, hG2⟩
exact ⟨G, hG2, hG⟩
-- Every element of T0 is nonempty.
have claim5 : ∀ S ∈ T0, Set.Nonempty S := by
rintro S ⟨S, hS, rfl⟩
exact ⟨F, hS⟩
-- Every element of T2 is nonempty.
have claim6 : ∀ S ∈ T2, Set.Nonempty S := by
suffices ∀ S ∈ T2, S ∈ T0 ∨ ∃ Q ∈ T0, S = AA ∩ Q by
intro S hS
cases' this _ hS with h h
· exact claim5 S h
· rcases h with ⟨Q, hQ, rfl⟩
exact claim4 Q hQ
intro S hS
apply finiteInterClosure_insert
· constructor
· use Set.univ
refine ⟨Filter.univ_sets _, ?_⟩
ext
refine ⟨?_, by tauto⟩
· intro
apply Filter.univ_sets
· exact claim3
· exact hS
-- It suffices to show that the intersection of any finite subset of T1 is nonempty.
suffices ∀ F : fsu, ↑F ⊆ T1 → (⋂₀ ι F).Nonempty by
obtain ⟨G, h1⟩ := Ultrafilter.exists_ultrafilter_of_finite_inter_nonempty _ this
have c1 : X.join G = F := Ultrafilter.coe_le_coe.1 fun P hP => h1 (Or.inr ⟨P, hP, rfl⟩)
have c2 : G.map X.str = X.incl x := by
refine Ultrafilter.coe_le_coe.1 fun P hP => ?_
apply mem_of_superset (h1 (Or.inl rfl))
rintro x ⟨rfl⟩
exact hP
simp [← c1, c2]
-- Finish...
intro T hT
refine claim6 _ (finiteInter_mem (.finiteInterClosure_finiteInter _) _ ?_)
intro t ht
exact finiteInterClosure.basic (@hT t ht)
#align Compactum.str_eq_of_le_nhds Compactum.str_eq_of_le_nhds
theorem le_nhds_of_str_eq {X : Compactum} (F : Ultrafilter X) (x : X) : X.str F = x → ↑F ≤ 𝓝 x :=
fun h => le_nhds_iff.mpr fun s hx hs => hs _ <| by rwa [h]
#align Compactum.le_nhds_of_str_eq Compactum.le_nhds_of_str_eq
-- All the hard work above boils down to this `T2Space` instance.
instance {X : Compactum} : T2Space X := by
rw [t2_iff_ultrafilter]
intro _ _ F hx hy
rw [← str_eq_of_le_nhds _ _ hx, ← str_eq_of_le_nhds _ _ hy]
theorem lim_eq_str {X : Compactum} (F : Ultrafilter X) : F.lim = X.str F := by
rw [Ultrafilter.lim_eq_iff_le_nhds, le_nhds_iff]
tauto
#align Compactum.Lim_eq_str Compactum.lim_eq_str
| Mathlib/Topology/Category/Compactum.lean | 369 | 376 | theorem cl_eq_closure {X : Compactum} (A : Set X) : cl A = closure A := by |
ext
rw [mem_closure_iff_ultrafilter]
constructor
· rintro ⟨F, h1, h2⟩
exact ⟨F, h1, le_nhds_of_str_eq _ _ h2⟩
· rintro ⟨F, h1, h2⟩
exact ⟨F, h1, str_eq_of_le_nhds _ _ h2⟩
|
import Mathlib.Data.Set.Function
import Mathlib.Order.Interval.Set.OrdConnected
#align_import data.set.intervals.proj_Icc from "leanprover-community/mathlib"@"4e24c4bfcff371c71f7ba22050308aa17815626c"
variable {α β : Type*} [LinearOrder α]
open Function
namespace Set
def projIci (a x : α) : Ici a := ⟨max a x, le_max_left _ _⟩
#align set.proj_Ici Set.projIci
def projIic (b x : α) : Iic b := ⟨min b x, min_le_left _ _⟩
#align set.proj_Iic Set.projIic
def projIcc (a b : α) (h : a ≤ b) (x : α) : Icc a b :=
⟨max a (min b x), le_max_left _ _, max_le h (min_le_left _ _)⟩
#align set.proj_Icc Set.projIcc
variable {a b : α} (h : a ≤ b) {x : α}
@[norm_cast]
theorem coe_projIci (a x : α) : (projIci a x : α) = max a x := rfl
#align set.coe_proj_Ici Set.coe_projIci
@[norm_cast]
theorem coe_projIic (b x : α) : (projIic b x : α) = min b x := rfl
#align set.coe_proj_Iic Set.coe_projIic
@[norm_cast]
theorem coe_projIcc (a b : α) (h : a ≤ b) (x : α) : (projIcc a b h x : α) = max a (min b x) := rfl
#align set.coe_proj_Icc Set.coe_projIcc
theorem projIci_of_le (hx : x ≤ a) : projIci a x = ⟨a, le_rfl⟩ := Subtype.ext <| max_eq_left hx
#align set.proj_Ici_of_le Set.projIci_of_le
theorem projIic_of_le (hx : b ≤ x) : projIic b x = ⟨b, le_rfl⟩ := Subtype.ext <| min_eq_left hx
#align set.proj_Iic_of_le Set.projIic_of_le
theorem projIcc_of_le_left (hx : x ≤ a) : projIcc a b h x = ⟨a, left_mem_Icc.2 h⟩ := by
simp [projIcc, hx, hx.trans h]
#align set.proj_Icc_of_le_left Set.projIcc_of_le_left
theorem projIcc_of_right_le (hx : b ≤ x) : projIcc a b h x = ⟨b, right_mem_Icc.2 h⟩ := by
simp [projIcc, hx, h]
#align set.proj_Icc_of_right_le Set.projIcc_of_right_le
@[simp]
theorem projIci_self (a : α) : projIci a a = ⟨a, le_rfl⟩ := projIci_of_le le_rfl
#align set.proj_Ici_self Set.projIci_self
@[simp]
theorem projIic_self (b : α) : projIic b b = ⟨b, le_rfl⟩ := projIic_of_le le_rfl
#align set.proj_Iic_self Set.projIic_self
@[simp]
theorem projIcc_left : projIcc a b h a = ⟨a, left_mem_Icc.2 h⟩ :=
projIcc_of_le_left h le_rfl
#align set.proj_Icc_left Set.projIcc_left
@[simp]
theorem projIcc_right : projIcc a b h b = ⟨b, right_mem_Icc.2 h⟩ :=
projIcc_of_right_le h le_rfl
#align set.proj_Icc_right Set.projIcc_right
theorem projIci_eq_self : projIci a x = ⟨a, le_rfl⟩ ↔ x ≤ a := by simp [projIci, Subtype.ext_iff]
#align set.proj_Ici_eq_self Set.projIci_eq_self
theorem projIic_eq_self : projIic b x = ⟨b, le_rfl⟩ ↔ b ≤ x := by simp [projIic, Subtype.ext_iff]
#align set.proj_Iic_eq_self Set.projIic_eq_self
theorem projIcc_eq_left (h : a < b) : projIcc a b h.le x = ⟨a, left_mem_Icc.mpr h.le⟩ ↔ x ≤ a := by
simp [projIcc, Subtype.ext_iff, h.not_le]
#align set.proj_Icc_eq_left Set.projIcc_eq_left
| Mathlib/Order/Interval/Set/ProjIcc.lean | 109 | 110 | theorem projIcc_eq_right (h : a < b) : projIcc a b h.le x = ⟨b, right_mem_Icc.2 h.le⟩ ↔ b ≤ x := by |
simp [projIcc, Subtype.ext_iff, max_min_distrib_left, h.le, h.not_le]
|
import Mathlib.Data.Stream.Defs
import Mathlib.Logic.Function.Basic
import Mathlib.Init.Data.List.Basic
import Mathlib.Data.List.Basic
#align_import data.stream.init from "leanprover-community/mathlib"@"207cfac9fcd06138865b5d04f7091e46d9320432"
set_option autoImplicit true
open Nat Function Option
namespace Stream'
variable {α : Type u} {β : Type v} {δ : Type w}
instance [Inhabited α] : Inhabited (Stream' α) :=
⟨Stream'.const default⟩
protected theorem eta (s : Stream' α) : (head s::tail s) = s :=
funext fun i => by cases i <;> rfl
#align stream.eta Stream'.eta
@[ext]
protected theorem ext {s₁ s₂ : Stream' α} : (∀ n, get s₁ n = get s₂ n) → s₁ = s₂ :=
fun h => funext h
#align stream.ext Stream'.ext
@[simp]
theorem get_zero_cons (a : α) (s : Stream' α) : get (a::s) 0 = a :=
rfl
#align stream.nth_zero_cons Stream'.get_zero_cons
@[simp]
theorem head_cons (a : α) (s : Stream' α) : head (a::s) = a :=
rfl
#align stream.head_cons Stream'.head_cons
@[simp]
theorem tail_cons (a : α) (s : Stream' α) : tail (a::s) = s :=
rfl
#align stream.tail_cons Stream'.tail_cons
@[simp]
theorem get_drop (n m : Nat) (s : Stream' α) : get (drop m s) n = get s (n + m) :=
rfl
#align stream.nth_drop Stream'.get_drop
theorem tail_eq_drop (s : Stream' α) : tail s = drop 1 s :=
rfl
#align stream.tail_eq_drop Stream'.tail_eq_drop
@[simp]
theorem drop_drop (n m : Nat) (s : Stream' α) : drop n (drop m s) = drop (n + m) s := by
ext; simp [Nat.add_assoc]
#align stream.drop_drop Stream'.drop_drop
@[simp] theorem get_tail {s : Stream' α} : s.tail.get n = s.get (n + 1) := rfl
@[simp] theorem tail_drop' {s : Stream' α} : tail (drop i s) = s.drop (i+1) := by
ext; simp [Nat.add_comm, Nat.add_assoc, Nat.add_left_comm]
@[simp] theorem drop_tail' {s : Stream' α} : drop i (tail s) = s.drop (i+1) := rfl
theorem tail_drop (n : Nat) (s : Stream' α) : tail (drop n s) = drop n (tail s) := by simp
#align stream.tail_drop Stream'.tail_drop
theorem get_succ (n : Nat) (s : Stream' α) : get s (succ n) = get (tail s) n :=
rfl
#align stream.nth_succ Stream'.get_succ
@[simp]
theorem get_succ_cons (n : Nat) (s : Stream' α) (x : α) : get (x::s) n.succ = get s n :=
rfl
#align stream.nth_succ_cons Stream'.get_succ_cons
@[simp] theorem drop_zero {s : Stream' α} : s.drop 0 = s := rfl
theorem drop_succ (n : Nat) (s : Stream' α) : drop (succ n) s = drop n (tail s) :=
rfl
#align stream.drop_succ Stream'.drop_succ
| Mathlib/Data/Stream/Init.lean | 94 | 94 | theorem head_drop (a : Stream' α) (n : ℕ) : (a.drop n).head = a.get n := by | simp
|
import Mathlib.Algebra.GroupWithZero.Divisibility
import Mathlib.Algebra.Order.Ring.Nat
import Mathlib.Tactic.NthRewrite
#align_import data.nat.gcd.basic from "leanprover-community/mathlib"@"e8638a0fcaf73e4500469f368ef9494e495099b3"
namespace Nat
theorem gcd_greatest {a b d : ℕ} (hda : d ∣ a) (hdb : d ∣ b) (hd : ∀ e : ℕ, e ∣ a → e ∣ b → e ∣ d) :
d = a.gcd b :=
(dvd_antisymm (hd _ (gcd_dvd_left a b) (gcd_dvd_right a b)) (dvd_gcd hda hdb)).symm
#align nat.gcd_greatest Nat.gcd_greatest
@[simp]
theorem gcd_add_mul_right_right (m n k : ℕ) : gcd m (n + k * m) = gcd m n := by
simp [gcd_rec m (n + k * m), gcd_rec m n]
#align nat.gcd_add_mul_right_right Nat.gcd_add_mul_right_right
@[simp]
theorem gcd_add_mul_left_right (m n k : ℕ) : gcd m (n + m * k) = gcd m n := by
simp [gcd_rec m (n + m * k), gcd_rec m n]
#align nat.gcd_add_mul_left_right Nat.gcd_add_mul_left_right
@[simp]
theorem gcd_mul_right_add_right (m n k : ℕ) : gcd m (k * m + n) = gcd m n := by simp [add_comm _ n]
#align nat.gcd_mul_right_add_right Nat.gcd_mul_right_add_right
@[simp]
theorem gcd_mul_left_add_right (m n k : ℕ) : gcd m (m * k + n) = gcd m n := by simp [add_comm _ n]
#align nat.gcd_mul_left_add_right Nat.gcd_mul_left_add_right
@[simp]
theorem gcd_add_mul_right_left (m n k : ℕ) : gcd (m + k * n) n = gcd m n := by
rw [gcd_comm, gcd_add_mul_right_right, gcd_comm]
#align nat.gcd_add_mul_right_left Nat.gcd_add_mul_right_left
@[simp]
theorem gcd_add_mul_left_left (m n k : ℕ) : gcd (m + n * k) n = gcd m n := by
rw [gcd_comm, gcd_add_mul_left_right, gcd_comm]
#align nat.gcd_add_mul_left_left Nat.gcd_add_mul_left_left
@[simp]
theorem gcd_mul_right_add_left (m n k : ℕ) : gcd (k * n + m) n = gcd m n := by
rw [gcd_comm, gcd_mul_right_add_right, gcd_comm]
#align nat.gcd_mul_right_add_left Nat.gcd_mul_right_add_left
@[simp]
theorem gcd_mul_left_add_left (m n k : ℕ) : gcd (n * k + m) n = gcd m n := by
rw [gcd_comm, gcd_mul_left_add_right, gcd_comm]
#align nat.gcd_mul_left_add_left Nat.gcd_mul_left_add_left
@[simp]
theorem gcd_add_self_right (m n : ℕ) : gcd m (n + m) = gcd m n :=
Eq.trans (by rw [one_mul]) (gcd_add_mul_right_right m n 1)
#align nat.gcd_add_self_right Nat.gcd_add_self_right
@[simp]
theorem gcd_add_self_left (m n : ℕ) : gcd (m + n) n = gcd m n := by
rw [gcd_comm, gcd_add_self_right, gcd_comm]
#align nat.gcd_add_self_left Nat.gcd_add_self_left
@[simp]
theorem gcd_self_add_left (m n : ℕ) : gcd (m + n) m = gcd n m := by rw [add_comm, gcd_add_self_left]
#align nat.gcd_self_add_left Nat.gcd_self_add_left
@[simp]
theorem gcd_self_add_right (m n : ℕ) : gcd m (m + n) = gcd m n := by
rw [add_comm, gcd_add_self_right]
#align nat.gcd_self_add_right Nat.gcd_self_add_right
@[simp]
theorem gcd_sub_self_left {m n : ℕ} (h : m ≤ n) : gcd (n - m) m = gcd n m := by
calc
gcd (n - m) m = gcd (n - m + m) m := by rw [← gcd_add_self_left (n - m) m]
_ = gcd n m := by rw [Nat.sub_add_cancel h]
@[simp]
theorem gcd_sub_self_right {m n : ℕ} (h : m ≤ n) : gcd m (n - m) = gcd m n := by
rw [gcd_comm, gcd_sub_self_left h, gcd_comm]
@[simp]
theorem gcd_self_sub_left {m n : ℕ} (h : m ≤ n) : gcd (n - m) n = gcd m n := by
have := Nat.sub_add_cancel h
rw [gcd_comm m n, ← this, gcd_add_self_left (n - m) m]
have : gcd (n - m) n = gcd (n - m) m := by
nth_rw 2 [← Nat.add_sub_cancel' h]
rw [gcd_add_self_right, gcd_comm]
convert this
@[simp]
theorem gcd_self_sub_right {m n : ℕ} (h : m ≤ n) : gcd n (n - m) = gcd n m := by
rw [gcd_comm, gcd_self_sub_left h, gcd_comm]
theorem lcm_dvd_mul (m n : ℕ) : lcm m n ∣ m * n :=
lcm_dvd (dvd_mul_right _ _) (dvd_mul_left _ _)
#align nat.lcm_dvd_mul Nat.lcm_dvd_mul
theorem lcm_dvd_iff {m n k : ℕ} : lcm m n ∣ k ↔ m ∣ k ∧ n ∣ k :=
⟨fun h => ⟨(dvd_lcm_left _ _).trans h, (dvd_lcm_right _ _).trans h⟩, and_imp.2 lcm_dvd⟩
#align nat.lcm_dvd_iff Nat.lcm_dvd_iff
theorem lcm_pos {m n : ℕ} : 0 < m → 0 < n → 0 < m.lcm n := by
simp_rw [pos_iff_ne_zero]
exact lcm_ne_zero
#align nat.lcm_pos Nat.lcm_pos
theorem lcm_mul_left {m n k : ℕ} : (m * n).lcm (m * k) = m * n.lcm k := by
apply dvd_antisymm
· exact lcm_dvd (mul_dvd_mul_left m (dvd_lcm_left n k)) (mul_dvd_mul_left m (dvd_lcm_right n k))
· have h : m ∣ lcm (m * n) (m * k) := (dvd_mul_right m n).trans (dvd_lcm_left (m * n) (m * k))
rw [← dvd_div_iff h, lcm_dvd_iff, dvd_div_iff h, dvd_div_iff h, ← lcm_dvd_iff]
theorem lcm_mul_right {m n k : ℕ} : (m * n).lcm (k * n) = m.lcm k * n := by
rw [mul_comm, mul_comm k n, lcm_mul_left, mul_comm]
instance (m n : ℕ) : Decidable (Coprime m n) := inferInstanceAs (Decidable (gcd m n = 1))
theorem Coprime.lcm_eq_mul {m n : ℕ} (h : Coprime m n) : lcm m n = m * n := by
rw [← one_mul (lcm m n), ← h.gcd_eq_one, gcd_mul_lcm]
#align nat.coprime.lcm_eq_mul Nat.Coprime.lcm_eq_mul
theorem Coprime.symmetric : Symmetric Coprime := fun _ _ => Coprime.symm
#align nat.coprime.symmetric Nat.Coprime.symmetric
theorem Coprime.dvd_mul_right {m n k : ℕ} (H : Coprime k n) : k ∣ m * n ↔ k ∣ m :=
⟨H.dvd_of_dvd_mul_right, fun h => dvd_mul_of_dvd_left h n⟩
#align nat.coprime.dvd_mul_right Nat.Coprime.dvd_mul_right
theorem Coprime.dvd_mul_left {m n k : ℕ} (H : Coprime k m) : k ∣ m * n ↔ k ∣ n :=
⟨H.dvd_of_dvd_mul_left, fun h => dvd_mul_of_dvd_right h m⟩
#align nat.coprime.dvd_mul_left Nat.Coprime.dvd_mul_left
@[simp]
theorem coprime_add_self_right {m n : ℕ} : Coprime m (n + m) ↔ Coprime m n := by
rw [Coprime, Coprime, gcd_add_self_right]
#align nat.coprime_add_self_right Nat.coprime_add_self_right
@[simp]
theorem coprime_self_add_right {m n : ℕ} : Coprime m (m + n) ↔ Coprime m n := by
rw [add_comm, coprime_add_self_right]
#align nat.coprime_self_add_right Nat.coprime_self_add_right
@[simp]
theorem coprime_add_self_left {m n : ℕ} : Coprime (m + n) n ↔ Coprime m n := by
rw [Coprime, Coprime, gcd_add_self_left]
#align nat.coprime_add_self_left Nat.coprime_add_self_left
@[simp]
theorem coprime_self_add_left {m n : ℕ} : Coprime (m + n) m ↔ Coprime n m := by
rw [Coprime, Coprime, gcd_self_add_left]
#align nat.coprime_self_add_left Nat.coprime_self_add_left
@[simp]
theorem coprime_add_mul_right_right (m n k : ℕ) : Coprime m (n + k * m) ↔ Coprime m n := by
rw [Coprime, Coprime, gcd_add_mul_right_right]
#align nat.coprime_add_mul_right_right Nat.coprime_add_mul_right_right
@[simp]
theorem coprime_add_mul_left_right (m n k : ℕ) : Coprime m (n + m * k) ↔ Coprime m n := by
rw [Coprime, Coprime, gcd_add_mul_left_right]
#align nat.coprime_add_mul_left_right Nat.coprime_add_mul_left_right
@[simp]
theorem coprime_mul_right_add_right (m n k : ℕ) : Coprime m (k * m + n) ↔ Coprime m n := by
rw [Coprime, Coprime, gcd_mul_right_add_right]
#align nat.coprime_mul_right_add_right Nat.coprime_mul_right_add_right
@[simp]
theorem coprime_mul_left_add_right (m n k : ℕ) : Coprime m (m * k + n) ↔ Coprime m n := by
rw [Coprime, Coprime, gcd_mul_left_add_right]
#align nat.coprime_mul_left_add_right Nat.coprime_mul_left_add_right
@[simp]
theorem coprime_add_mul_right_left (m n k : ℕ) : Coprime (m + k * n) n ↔ Coprime m n := by
rw [Coprime, Coprime, gcd_add_mul_right_left]
#align nat.coprime_add_mul_right_left Nat.coprime_add_mul_right_left
@[simp]
| Mathlib/Data/Nat/GCD/Basic.lean | 211 | 212 | theorem coprime_add_mul_left_left (m n k : ℕ) : Coprime (m + n * k) n ↔ Coprime m n := by |
rw [Coprime, Coprime, gcd_add_mul_left_left]
|
import Mathlib.Algebra.CharP.ExpChar
import Mathlib.Algebra.GeomSum
import Mathlib.Algebra.MvPolynomial.CommRing
import Mathlib.Algebra.MvPolynomial.Equiv
import Mathlib.RingTheory.Polynomial.Content
import Mathlib.RingTheory.UniqueFactorizationDomain
#align_import ring_theory.polynomial.basic from "leanprover-community/mathlib"@"da420a8c6dd5bdfb85c4ced85c34388f633bc6ff"
noncomputable section
open Polynomial
open Finset
universe u v w
variable {R : Type u} {S : Type*}
namespace Polynomial
section Semiring
variable [Semiring R]
instance instCharP (p : ℕ) [h : CharP R p] : CharP R[X] p :=
let ⟨h⟩ := h
⟨fun n => by rw [← map_natCast C, ← C_0, C_inj, h]⟩
instance instExpChar (p : ℕ) [h : ExpChar R p] : ExpChar R[X] p := by
cases h; exacts [ExpChar.zero, ExpChar.prime ‹_›]
variable (R)
def degreeLE (n : WithBot ℕ) : Submodule R R[X] :=
⨅ k : ℕ, ⨅ _ : ↑k > n, LinearMap.ker (lcoeff R k)
#align polynomial.degree_le Polynomial.degreeLE
def degreeLT (n : ℕ) : Submodule R R[X] :=
⨅ k : ℕ, ⨅ (_ : k ≥ n), LinearMap.ker (lcoeff R k)
#align polynomial.degree_lt Polynomial.degreeLT
variable {R}
theorem mem_degreeLE {n : WithBot ℕ} {f : R[X]} : f ∈ degreeLE R n ↔ degree f ≤ n := by
simp only [degreeLE, Submodule.mem_iInf, degree_le_iff_coeff_zero, LinearMap.mem_ker]; rfl
#align polynomial.mem_degree_le Polynomial.mem_degreeLE
@[mono]
theorem degreeLE_mono {m n : WithBot ℕ} (H : m ≤ n) : degreeLE R m ≤ degreeLE R n := fun _ hf =>
mem_degreeLE.2 (le_trans (mem_degreeLE.1 hf) H)
#align polynomial.degree_le_mono Polynomial.degreeLE_mono
theorem degreeLE_eq_span_X_pow [DecidableEq R] {n : ℕ} :
degreeLE R n = Submodule.span R ↑((Finset.range (n + 1)).image fun n => (X : R[X]) ^ n) := by
apply le_antisymm
· intro p hp
replace hp := mem_degreeLE.1 hp
rw [← Polynomial.sum_monomial_eq p, Polynomial.sum]
refine Submodule.sum_mem _ fun k hk => ?_
have := WithBot.coe_le_coe.1 (Finset.sup_le_iff.1 hp k hk)
rw [← C_mul_X_pow_eq_monomial, C_mul']
refine
Submodule.smul_mem _ _
(Submodule.subset_span <|
Finset.mem_coe.2 <|
Finset.mem_image.2 ⟨_, Finset.mem_range.2 (Nat.lt_succ_of_le this), rfl⟩)
rw [Submodule.span_le, Finset.coe_image, Set.image_subset_iff]
intro k hk
apply mem_degreeLE.2
exact
(degree_X_pow_le _).trans (WithBot.coe_le_coe.2 <| Nat.le_of_lt_succ <| Finset.mem_range.1 hk)
set_option linter.uppercaseLean3 false in
#align polynomial.degree_le_eq_span_X_pow Polynomial.degreeLE_eq_span_X_pow
theorem mem_degreeLT {n : ℕ} {f : R[X]} : f ∈ degreeLT R n ↔ degree f < n := by
rw [degreeLT, Submodule.mem_iInf]
conv_lhs => intro i; rw [Submodule.mem_iInf]
rw [degree, Finset.max_eq_sup_coe]
rw [Finset.sup_lt_iff ?_]
rotate_left
· apply WithBot.bot_lt_coe
conv_rhs =>
simp only [mem_support_iff]
intro b
rw [Nat.cast_withBot, WithBot.coe_lt_coe, lt_iff_not_le, Ne, not_imp_not]
rfl
#align polynomial.mem_degree_lt Polynomial.mem_degreeLT
@[mono]
theorem degreeLT_mono {m n : ℕ} (H : m ≤ n) : degreeLT R m ≤ degreeLT R n := fun _ hf =>
mem_degreeLT.2 (lt_of_lt_of_le (mem_degreeLT.1 hf) <| WithBot.coe_le_coe.2 H)
#align polynomial.degree_lt_mono Polynomial.degreeLT_mono
theorem degreeLT_eq_span_X_pow [DecidableEq R] {n : ℕ} :
degreeLT R n = Submodule.span R ↑((Finset.range n).image fun n => X ^ n : Finset R[X]) := by
apply le_antisymm
· intro p hp
replace hp := mem_degreeLT.1 hp
rw [← Polynomial.sum_monomial_eq p, Polynomial.sum]
refine Submodule.sum_mem _ fun k hk => ?_
have := WithBot.coe_lt_coe.1 ((Finset.sup_lt_iff <| WithBot.bot_lt_coe n).1 hp k hk)
rw [← C_mul_X_pow_eq_monomial, C_mul']
refine
Submodule.smul_mem _ _
(Submodule.subset_span <|
Finset.mem_coe.2 <| Finset.mem_image.2 ⟨_, Finset.mem_range.2 this, rfl⟩)
rw [Submodule.span_le, Finset.coe_image, Set.image_subset_iff]
intro k hk
apply mem_degreeLT.2
exact lt_of_le_of_lt (degree_X_pow_le _) (WithBot.coe_lt_coe.2 <| Finset.mem_range.1 hk)
set_option linter.uppercaseLean3 false in
#align polynomial.degree_lt_eq_span_X_pow Polynomial.degreeLT_eq_span_X_pow
def degreeLTEquiv (R) [Semiring R] (n : ℕ) : degreeLT R n ≃ₗ[R] Fin n → R where
toFun p n := (↑p : R[X]).coeff n
invFun f :=
⟨∑ i : Fin n, monomial i (f i),
(degreeLT R n).sum_mem fun i _ =>
mem_degreeLT.mpr
(lt_of_le_of_lt (degree_monomial_le i (f i)) (WithBot.coe_lt_coe.mpr i.is_lt))⟩
map_add' p q := by
ext
dsimp
rw [coeff_add]
map_smul' x p := by
ext
dsimp
rw [coeff_smul]
rfl
left_inv := by
rintro ⟨p, hp⟩
ext1
simp only [Submodule.coe_mk]
by_cases hp0 : p = 0
· subst hp0
simp only [coeff_zero, LinearMap.map_zero, Finset.sum_const_zero]
rw [mem_degreeLT, degree_eq_natDegree hp0, Nat.cast_lt] at hp
conv_rhs => rw [p.as_sum_range' n hp, ← Fin.sum_univ_eq_sum_range]
right_inv f := by
ext i
simp only [finset_sum_coeff, Submodule.coe_mk]
rw [Finset.sum_eq_single i, coeff_monomial, if_pos rfl]
· rintro j - hji
rw [coeff_monomial, if_neg]
rwa [← Fin.ext_iff]
· intro h
exact (h (Finset.mem_univ _)).elim
#align polynomial.degree_lt_equiv Polynomial.degreeLTEquiv
-- Porting note: removed @[simp] as simp can prove this
theorem degreeLTEquiv_eq_zero_iff_eq_zero {n : ℕ} {p : R[X]} (hp : p ∈ degreeLT R n) :
degreeLTEquiv _ _ ⟨p, hp⟩ = 0 ↔ p = 0 := by
rw [LinearEquiv.map_eq_zero_iff, Submodule.mk_eq_zero]
#align polynomial.degree_lt_equiv_eq_zero_iff_eq_zero Polynomial.degreeLTEquiv_eq_zero_iff_eq_zero
theorem eval_eq_sum_degreeLTEquiv {n : ℕ} {p : R[X]} (hp : p ∈ degreeLT R n) (x : R) :
p.eval x = ∑ i, degreeLTEquiv _ _ ⟨p, hp⟩ i * x ^ (i : ℕ) := by
simp_rw [eval_eq_sum]
exact (sum_fin _ (by simp_rw [zero_mul, forall_const]) (mem_degreeLT.mp hp)).symm
#align polynomial.eval_eq_sum_degree_lt_equiv Polynomial.eval_eq_sum_degreeLTEquiv
| Mathlib/RingTheory/Polynomial/Basic.lean | 186 | 191 | theorem degreeLT_succ_eq_degreeLE {n : ℕ} : degreeLT R (n + 1) = degreeLE R n := by |
ext x
by_cases x_zero : x = 0
· simp_rw [x_zero, Submodule.zero_mem]
· rw [mem_degreeLT, mem_degreeLE, ← natDegree_lt_iff_degree_lt (by rwa [ne_eq]),
← natDegree_le_iff_degree_le, Nat.lt_succ]
|
import Mathlib.Algebra.Module.BigOperators
import Mathlib.Data.Fintype.BigOperators
import Mathlib.LinearAlgebra.AffineSpace.AffineMap
import Mathlib.LinearAlgebra.AffineSpace.AffineSubspace
import Mathlib.LinearAlgebra.Finsupp
import Mathlib.Tactic.FinCases
#align_import linear_algebra.affine_space.combination from "leanprover-community/mathlib"@"2de9c37fa71dde2f1c6feff19876dd6a7b1519f0"
noncomputable section
open Affine
namespace Finset
theorem univ_fin2 : (univ : Finset (Fin 2)) = {0, 1} := by
ext x
fin_cases x <;> simp
#align finset.univ_fin2 Finset.univ_fin2
variable {k : Type*} {V : Type*} {P : Type*} [Ring k] [AddCommGroup V] [Module k V]
variable [S : AffineSpace V P]
variable {ι : Type*} (s : Finset ι)
variable {ι₂ : Type*} (s₂ : Finset ι₂)
def weightedVSubOfPoint (p : ι → P) (b : P) : (ι → k) →ₗ[k] V :=
∑ i ∈ s, (LinearMap.proj i : (ι → k) →ₗ[k] k).smulRight (p i -ᵥ b)
#align finset.weighted_vsub_of_point Finset.weightedVSubOfPoint
@[simp]
theorem weightedVSubOfPoint_apply (w : ι → k) (p : ι → P) (b : P) :
s.weightedVSubOfPoint p b w = ∑ i ∈ s, w i • (p i -ᵥ b) := by
simp [weightedVSubOfPoint, LinearMap.sum_apply]
#align finset.weighted_vsub_of_point_apply Finset.weightedVSubOfPoint_apply
@[simp (high)]
theorem weightedVSubOfPoint_apply_const (w : ι → k) (p : P) (b : P) :
s.weightedVSubOfPoint (fun _ => p) b w = (∑ i ∈ s, w i) • (p -ᵥ b) := by
rw [weightedVSubOfPoint_apply, sum_smul]
#align finset.weighted_vsub_of_point_apply_const Finset.weightedVSubOfPoint_apply_const
theorem weightedVSubOfPoint_congr {w₁ w₂ : ι → k} (hw : ∀ i ∈ s, w₁ i = w₂ i) {p₁ p₂ : ι → P}
(hp : ∀ i ∈ s, p₁ i = p₂ i) (b : P) :
s.weightedVSubOfPoint p₁ b w₁ = s.weightedVSubOfPoint p₂ b w₂ := by
simp_rw [weightedVSubOfPoint_apply]
refine sum_congr rfl fun i hi => ?_
rw [hw i hi, hp i hi]
#align finset.weighted_vsub_of_point_congr Finset.weightedVSubOfPoint_congr
theorem weightedVSubOfPoint_eq_of_weights_eq (p : ι → P) (j : ι) (w₁ w₂ : ι → k)
(hw : ∀ i, i ≠ j → w₁ i = w₂ i) :
s.weightedVSubOfPoint p (p j) w₁ = s.weightedVSubOfPoint p (p j) w₂ := by
simp only [Finset.weightedVSubOfPoint_apply]
congr
ext i
rcases eq_or_ne i j with h | h
· simp [h]
· simp [hw i h]
#align finset.weighted_vsub_of_point_eq_of_weights_eq Finset.weightedVSubOfPoint_eq_of_weights_eq
theorem weightedVSubOfPoint_eq_of_sum_eq_zero (w : ι → k) (p : ι → P) (h : ∑ i ∈ s, w i = 0)
(b₁ b₂ : P) : s.weightedVSubOfPoint p b₁ w = s.weightedVSubOfPoint p b₂ w := by
apply eq_of_sub_eq_zero
rw [weightedVSubOfPoint_apply, weightedVSubOfPoint_apply, ← sum_sub_distrib]
conv_lhs =>
congr
· skip
· ext
rw [← smul_sub, vsub_sub_vsub_cancel_left]
rw [← sum_smul, h, zero_smul]
#align finset.weighted_vsub_of_point_eq_of_sum_eq_zero Finset.weightedVSubOfPoint_eq_of_sum_eq_zero
theorem weightedVSubOfPoint_vadd_eq_of_sum_eq_one (w : ι → k) (p : ι → P) (h : ∑ i ∈ s, w i = 1)
(b₁ b₂ : P) : s.weightedVSubOfPoint p b₁ w +ᵥ b₁ = s.weightedVSubOfPoint p b₂ w +ᵥ b₂ := by
erw [weightedVSubOfPoint_apply, weightedVSubOfPoint_apply, ← @vsub_eq_zero_iff_eq V,
vadd_vsub_assoc, vsub_vadd_eq_vsub_sub, ← add_sub_assoc, add_comm, add_sub_assoc, ←
sum_sub_distrib]
conv_lhs =>
congr
· skip
· congr
· skip
· ext
rw [← smul_sub, vsub_sub_vsub_cancel_left]
rw [← sum_smul, h, one_smul, vsub_add_vsub_cancel, vsub_self]
#align finset.weighted_vsub_of_point_vadd_eq_of_sum_eq_one Finset.weightedVSubOfPoint_vadd_eq_of_sum_eq_one
@[simp (high)]
theorem weightedVSubOfPoint_erase [DecidableEq ι] (w : ι → k) (p : ι → P) (i : ι) :
(s.erase i).weightedVSubOfPoint p (p i) w = s.weightedVSubOfPoint p (p i) w := by
rw [weightedVSubOfPoint_apply, weightedVSubOfPoint_apply]
apply sum_erase
rw [vsub_self, smul_zero]
#align finset.weighted_vsub_of_point_erase Finset.weightedVSubOfPoint_erase
@[simp (high)]
theorem weightedVSubOfPoint_insert [DecidableEq ι] (w : ι → k) (p : ι → P) (i : ι) :
(insert i s).weightedVSubOfPoint p (p i) w = s.weightedVSubOfPoint p (p i) w := by
rw [weightedVSubOfPoint_apply, weightedVSubOfPoint_apply]
apply sum_insert_zero
rw [vsub_self, smul_zero]
#align finset.weighted_vsub_of_point_insert Finset.weightedVSubOfPoint_insert
theorem weightedVSubOfPoint_indicator_subset (w : ι → k) (p : ι → P) (b : P) {s₁ s₂ : Finset ι}
(h : s₁ ⊆ s₂) :
s₁.weightedVSubOfPoint p b w = s₂.weightedVSubOfPoint p b (Set.indicator (↑s₁) w) := by
rw [weightedVSubOfPoint_apply, weightedVSubOfPoint_apply]
exact Eq.symm <|
sum_indicator_subset_of_eq_zero w (fun i wi => wi • (p i -ᵥ b : V)) h fun i => zero_smul k _
#align finset.weighted_vsub_of_point_indicator_subset Finset.weightedVSubOfPoint_indicator_subset
theorem weightedVSubOfPoint_map (e : ι₂ ↪ ι) (w : ι → k) (p : ι → P) (b : P) :
(s₂.map e).weightedVSubOfPoint p b w = s₂.weightedVSubOfPoint (p ∘ e) b (w ∘ e) := by
simp_rw [weightedVSubOfPoint_apply]
exact Finset.sum_map _ _ _
#align finset.weighted_vsub_of_point_map Finset.weightedVSubOfPoint_map
theorem sum_smul_vsub_eq_weightedVSubOfPoint_sub (w : ι → k) (p₁ p₂ : ι → P) (b : P) :
(∑ i ∈ s, w i • (p₁ i -ᵥ p₂ i)) =
s.weightedVSubOfPoint p₁ b w - s.weightedVSubOfPoint p₂ b w := by
simp_rw [weightedVSubOfPoint_apply, ← sum_sub_distrib, ← smul_sub, vsub_sub_vsub_cancel_right]
#align finset.sum_smul_vsub_eq_weighted_vsub_of_point_sub Finset.sum_smul_vsub_eq_weightedVSubOfPoint_sub
theorem sum_smul_vsub_const_eq_weightedVSubOfPoint_sub (w : ι → k) (p₁ : ι → P) (p₂ b : P) :
(∑ i ∈ s, w i • (p₁ i -ᵥ p₂)) = s.weightedVSubOfPoint p₁ b w - (∑ i ∈ s, w i) • (p₂ -ᵥ b) := by
rw [sum_smul_vsub_eq_weightedVSubOfPoint_sub, weightedVSubOfPoint_apply_const]
#align finset.sum_smul_vsub_const_eq_weighted_vsub_of_point_sub Finset.sum_smul_vsub_const_eq_weightedVSubOfPoint_sub
theorem sum_smul_const_vsub_eq_sub_weightedVSubOfPoint (w : ι → k) (p₂ : ι → P) (p₁ b : P) :
(∑ i ∈ s, w i • (p₁ -ᵥ p₂ i)) = (∑ i ∈ s, w i) • (p₁ -ᵥ b) - s.weightedVSubOfPoint p₂ b w := by
rw [sum_smul_vsub_eq_weightedVSubOfPoint_sub, weightedVSubOfPoint_apply_const]
#align finset.sum_smul_const_vsub_eq_sub_weighted_vsub_of_point Finset.sum_smul_const_vsub_eq_sub_weightedVSubOfPoint
theorem weightedVSubOfPoint_sdiff [DecidableEq ι] {s₂ : Finset ι} (h : s₂ ⊆ s) (w : ι → k)
(p : ι → P) (b : P) :
(s \ s₂).weightedVSubOfPoint p b w + s₂.weightedVSubOfPoint p b w =
s.weightedVSubOfPoint p b w := by
simp_rw [weightedVSubOfPoint_apply, sum_sdiff h]
#align finset.weighted_vsub_of_point_sdiff Finset.weightedVSubOfPoint_sdiff
theorem weightedVSubOfPoint_sdiff_sub [DecidableEq ι] {s₂ : Finset ι} (h : s₂ ⊆ s) (w : ι → k)
(p : ι → P) (b : P) :
(s \ s₂).weightedVSubOfPoint p b w - s₂.weightedVSubOfPoint p b (-w) =
s.weightedVSubOfPoint p b w := by
rw [map_neg, sub_neg_eq_add, s.weightedVSubOfPoint_sdiff h]
#align finset.weighted_vsub_of_point_sdiff_sub Finset.weightedVSubOfPoint_sdiff_sub
theorem weightedVSubOfPoint_subtype_eq_filter (w : ι → k) (p : ι → P) (b : P) (pred : ι → Prop)
[DecidablePred pred] :
((s.subtype pred).weightedVSubOfPoint (fun i => p i) b fun i => w i) =
(s.filter pred).weightedVSubOfPoint p b w := by
rw [weightedVSubOfPoint_apply, weightedVSubOfPoint_apply, ← sum_subtype_eq_sum_filter]
#align finset.weighted_vsub_of_point_subtype_eq_filter Finset.weightedVSubOfPoint_subtype_eq_filter
theorem weightedVSubOfPoint_filter_of_ne (w : ι → k) (p : ι → P) (b : P) {pred : ι → Prop}
[DecidablePred pred] (h : ∀ i ∈ s, w i ≠ 0 → pred i) :
(s.filter pred).weightedVSubOfPoint p b w = s.weightedVSubOfPoint p b w := by
rw [weightedVSubOfPoint_apply, weightedVSubOfPoint_apply, sum_filter_of_ne]
intro i hi hne
refine h i hi ?_
intro hw
simp [hw] at hne
#align finset.weighted_vsub_of_point_filter_of_ne Finset.weightedVSubOfPoint_filter_of_ne
theorem weightedVSubOfPoint_const_smul (w : ι → k) (p : ι → P) (b : P) (c : k) :
s.weightedVSubOfPoint p b (c • w) = c • s.weightedVSubOfPoint p b w := by
simp_rw [weightedVSubOfPoint_apply, smul_sum, Pi.smul_apply, smul_smul, smul_eq_mul]
#align finset.weighted_vsub_of_point_const_smul Finset.weightedVSubOfPoint_const_smul
def weightedVSub (p : ι → P) : (ι → k) →ₗ[k] V :=
s.weightedVSubOfPoint p (Classical.choice S.nonempty)
#align finset.weighted_vsub Finset.weightedVSub
theorem weightedVSub_apply (w : ι → k) (p : ι → P) :
s.weightedVSub p w = ∑ i ∈ s, w i • (p i -ᵥ Classical.choice S.nonempty) := by
simp [weightedVSub, LinearMap.sum_apply]
#align finset.weighted_vsub_apply Finset.weightedVSub_apply
theorem weightedVSub_eq_weightedVSubOfPoint_of_sum_eq_zero (w : ι → k) (p : ι → P)
(h : ∑ i ∈ s, w i = 0) (b : P) : s.weightedVSub p w = s.weightedVSubOfPoint p b w :=
s.weightedVSubOfPoint_eq_of_sum_eq_zero w p h _ _
#align finset.weighted_vsub_eq_weighted_vsub_of_point_of_sum_eq_zero Finset.weightedVSub_eq_weightedVSubOfPoint_of_sum_eq_zero
@[simp]
theorem weightedVSub_apply_const (w : ι → k) (p : P) (h : ∑ i ∈ s, w i = 0) :
s.weightedVSub (fun _ => p) w = 0 := by
rw [weightedVSub, weightedVSubOfPoint_apply_const, h, zero_smul]
#align finset.weighted_vsub_apply_const Finset.weightedVSub_apply_const
@[simp]
theorem weightedVSub_empty (w : ι → k) (p : ι → P) : (∅ : Finset ι).weightedVSub p w = (0 : V) := by
simp [weightedVSub_apply]
#align finset.weighted_vsub_empty Finset.weightedVSub_empty
theorem weightedVSub_congr {w₁ w₂ : ι → k} (hw : ∀ i ∈ s, w₁ i = w₂ i) {p₁ p₂ : ι → P}
(hp : ∀ i ∈ s, p₁ i = p₂ i) : s.weightedVSub p₁ w₁ = s.weightedVSub p₂ w₂ :=
s.weightedVSubOfPoint_congr hw hp _
#align finset.weighted_vsub_congr Finset.weightedVSub_congr
theorem weightedVSub_indicator_subset (w : ι → k) (p : ι → P) {s₁ s₂ : Finset ι} (h : s₁ ⊆ s₂) :
s₁.weightedVSub p w = s₂.weightedVSub p (Set.indicator (↑s₁) w) :=
weightedVSubOfPoint_indicator_subset _ _ _ h
#align finset.weighted_vsub_indicator_subset Finset.weightedVSub_indicator_subset
theorem weightedVSub_map (e : ι₂ ↪ ι) (w : ι → k) (p : ι → P) :
(s₂.map e).weightedVSub p w = s₂.weightedVSub (p ∘ e) (w ∘ e) :=
s₂.weightedVSubOfPoint_map _ _ _ _
#align finset.weighted_vsub_map Finset.weightedVSub_map
theorem sum_smul_vsub_eq_weightedVSub_sub (w : ι → k) (p₁ p₂ : ι → P) :
(∑ i ∈ s, w i • (p₁ i -ᵥ p₂ i)) = s.weightedVSub p₁ w - s.weightedVSub p₂ w :=
s.sum_smul_vsub_eq_weightedVSubOfPoint_sub _ _ _ _
#align finset.sum_smul_vsub_eq_weighted_vsub_sub Finset.sum_smul_vsub_eq_weightedVSub_sub
theorem sum_smul_vsub_const_eq_weightedVSub (w : ι → k) (p₁ : ι → P) (p₂ : P)
(h : ∑ i ∈ s, w i = 0) : (∑ i ∈ s, w i • (p₁ i -ᵥ p₂)) = s.weightedVSub p₁ w := by
rw [sum_smul_vsub_eq_weightedVSub_sub, s.weightedVSub_apply_const _ _ h, sub_zero]
#align finset.sum_smul_vsub_const_eq_weighted_vsub Finset.sum_smul_vsub_const_eq_weightedVSub
theorem sum_smul_const_vsub_eq_neg_weightedVSub (w : ι → k) (p₂ : ι → P) (p₁ : P)
(h : ∑ i ∈ s, w i = 0) : (∑ i ∈ s, w i • (p₁ -ᵥ p₂ i)) = -s.weightedVSub p₂ w := by
rw [sum_smul_vsub_eq_weightedVSub_sub, s.weightedVSub_apply_const _ _ h, zero_sub]
#align finset.sum_smul_const_vsub_eq_neg_weighted_vsub Finset.sum_smul_const_vsub_eq_neg_weightedVSub
theorem weightedVSub_sdiff [DecidableEq ι] {s₂ : Finset ι} (h : s₂ ⊆ s) (w : ι → k) (p : ι → P) :
(s \ s₂).weightedVSub p w + s₂.weightedVSub p w = s.weightedVSub p w :=
s.weightedVSubOfPoint_sdiff h _ _ _
#align finset.weighted_vsub_sdiff Finset.weightedVSub_sdiff
theorem weightedVSub_sdiff_sub [DecidableEq ι] {s₂ : Finset ι} (h : s₂ ⊆ s) (w : ι → k)
(p : ι → P) : (s \ s₂).weightedVSub p w - s₂.weightedVSub p (-w) = s.weightedVSub p w :=
s.weightedVSubOfPoint_sdiff_sub h _ _ _
#align finset.weighted_vsub_sdiff_sub Finset.weightedVSub_sdiff_sub
theorem weightedVSub_subtype_eq_filter (w : ι → k) (p : ι → P) (pred : ι → Prop)
[DecidablePred pred] :
((s.subtype pred).weightedVSub (fun i => p i) fun i => w i) =
(s.filter pred).weightedVSub p w :=
s.weightedVSubOfPoint_subtype_eq_filter _ _ _ _
#align finset.weighted_vsub_subtype_eq_filter Finset.weightedVSub_subtype_eq_filter
theorem weightedVSub_filter_of_ne (w : ι → k) (p : ι → P) {pred : ι → Prop} [DecidablePred pred]
(h : ∀ i ∈ s, w i ≠ 0 → pred i) : (s.filter pred).weightedVSub p w = s.weightedVSub p w :=
s.weightedVSubOfPoint_filter_of_ne _ _ _ h
#align finset.weighted_vsub_filter_of_ne Finset.weightedVSub_filter_of_ne
theorem weightedVSub_const_smul (w : ι → k) (p : ι → P) (c : k) :
s.weightedVSub p (c • w) = c • s.weightedVSub p w :=
s.weightedVSubOfPoint_const_smul _ _ _ _
#align finset.weighted_vsub_const_smul Finset.weightedVSub_const_smul
instance : AffineSpace (ι → k) (ι → k) := Pi.instAddTorsor
variable (k)
def affineCombination (p : ι → P) : (ι → k) →ᵃ[k] P where
toFun w := s.weightedVSubOfPoint p (Classical.choice S.nonempty) w +ᵥ Classical.choice S.nonempty
linear := s.weightedVSub p
map_vadd' w₁ w₂ := by simp_rw [vadd_vadd, weightedVSub, vadd_eq_add, LinearMap.map_add]
#align finset.affine_combination Finset.affineCombination
@[simp]
theorem affineCombination_linear (p : ι → P) :
(s.affineCombination k p).linear = s.weightedVSub p :=
rfl
#align finset.affine_combination_linear Finset.affineCombination_linear
variable {k}
theorem affineCombination_apply (w : ι → k) (p : ι → P) :
(s.affineCombination k p) w =
s.weightedVSubOfPoint p (Classical.choice S.nonempty) w +ᵥ Classical.choice S.nonempty :=
rfl
#align finset.affine_combination_apply Finset.affineCombination_apply
@[simp]
theorem affineCombination_apply_const (w : ι → k) (p : P) (h : ∑ i ∈ s, w i = 1) :
s.affineCombination k (fun _ => p) w = p := by
rw [affineCombination_apply, s.weightedVSubOfPoint_apply_const, h, one_smul, vsub_vadd]
#align finset.affine_combination_apply_const Finset.affineCombination_apply_const
theorem affineCombination_congr {w₁ w₂ : ι → k} (hw : ∀ i ∈ s, w₁ i = w₂ i) {p₁ p₂ : ι → P}
(hp : ∀ i ∈ s, p₁ i = p₂ i) : s.affineCombination k p₁ w₁ = s.affineCombination k p₂ w₂ := by
simp_rw [affineCombination_apply, s.weightedVSubOfPoint_congr hw hp]
#align finset.affine_combination_congr Finset.affineCombination_congr
theorem affineCombination_eq_weightedVSubOfPoint_vadd_of_sum_eq_one (w : ι → k) (p : ι → P)
(h : ∑ i ∈ s, w i = 1) (b : P) :
s.affineCombination k p w = s.weightedVSubOfPoint p b w +ᵥ b :=
s.weightedVSubOfPoint_vadd_eq_of_sum_eq_one w p h _ _
#align finset.affine_combination_eq_weighted_vsub_of_point_vadd_of_sum_eq_one Finset.affineCombination_eq_weightedVSubOfPoint_vadd_of_sum_eq_one
theorem weightedVSub_vadd_affineCombination (w₁ w₂ : ι → k) (p : ι → P) :
s.weightedVSub p w₁ +ᵥ s.affineCombination k p w₂ = s.affineCombination k p (w₁ + w₂) := by
rw [← vadd_eq_add, AffineMap.map_vadd, affineCombination_linear]
#align finset.weighted_vsub_vadd_affine_combination Finset.weightedVSub_vadd_affineCombination
theorem affineCombination_vsub (w₁ w₂ : ι → k) (p : ι → P) :
s.affineCombination k p w₁ -ᵥ s.affineCombination k p w₂ = s.weightedVSub p (w₁ - w₂) := by
rw [← AffineMap.linearMap_vsub, affineCombination_linear, vsub_eq_sub]
#align finset.affine_combination_vsub Finset.affineCombination_vsub
theorem attach_affineCombination_of_injective [DecidableEq P] (s : Finset P) (w : P → k) (f : s → P)
(hf : Function.Injective f) :
s.attach.affineCombination k f (w ∘ f) = (image f univ).affineCombination k id w := by
simp only [affineCombination, weightedVSubOfPoint_apply, id, vadd_right_cancel_iff,
Function.comp_apply, AffineMap.coe_mk]
let g₁ : s → V := fun i => w (f i) • (f i -ᵥ Classical.choice S.nonempty)
let g₂ : P → V := fun i => w i • (i -ᵥ Classical.choice S.nonempty)
change univ.sum g₁ = (image f univ).sum g₂
have hgf : g₁ = g₂ ∘ f := by
ext
simp
rw [hgf, sum_image]
· simp only [Function.comp_apply]
· exact fun _ _ _ _ hxy => hf hxy
#align finset.attach_affine_combination_of_injective Finset.attach_affineCombination_of_injective
theorem attach_affineCombination_coe (s : Finset P) (w : P → k) :
s.attach.affineCombination k ((↑) : s → P) (w ∘ (↑)) = s.affineCombination k id w := by
classical rw [attach_affineCombination_of_injective s w ((↑) : s → P) Subtype.coe_injective,
univ_eq_attach, attach_image_val]
#align finset.attach_affine_combination_coe Finset.attach_affineCombination_coe
@[simp]
theorem weightedVSub_eq_linear_combination {ι} (s : Finset ι) {w : ι → k} {p : ι → V}
(hw : s.sum w = 0) : s.weightedVSub p w = ∑ i ∈ s, w i • p i := by
simp [s.weightedVSub_apply, vsub_eq_sub, smul_sub, ← Finset.sum_smul, hw]
#align finset.weighted_vsub_eq_linear_combination Finset.weightedVSub_eq_linear_combination
@[simp]
theorem affineCombination_eq_linear_combination (s : Finset ι) (p : ι → V) (w : ι → k)
(hw : ∑ i ∈ s, w i = 1) : s.affineCombination k p w = ∑ i ∈ s, w i • p i := by
simp [s.affineCombination_eq_weightedVSubOfPoint_vadd_of_sum_eq_one w p hw 0]
#align finset.affine_combination_eq_linear_combination Finset.affineCombination_eq_linear_combination
@[simp]
theorem affineCombination_of_eq_one_of_eq_zero (w : ι → k) (p : ι → P) {i : ι} (his : i ∈ s)
(hwi : w i = 1) (hw0 : ∀ i2 ∈ s, i2 ≠ i → w i2 = 0) : s.affineCombination k p w = p i := by
have h1 : ∑ i ∈ s, w i = 1 := hwi ▸ sum_eq_single i hw0 fun h => False.elim (h his)
rw [s.affineCombination_eq_weightedVSubOfPoint_vadd_of_sum_eq_one w p h1 (p i),
weightedVSubOfPoint_apply]
convert zero_vadd V (p i)
refine sum_eq_zero ?_
intro i2 hi2
by_cases h : i2 = i
· simp [h]
· simp [hw0 i2 hi2 h]
#align finset.affine_combination_of_eq_one_of_eq_zero Finset.affineCombination_of_eq_one_of_eq_zero
theorem affineCombination_indicator_subset (w : ι → k) (p : ι → P) {s₁ s₂ : Finset ι}
(h : s₁ ⊆ s₂) :
s₁.affineCombination k p w = s₂.affineCombination k p (Set.indicator (↑s₁) w) := by
rw [affineCombination_apply, affineCombination_apply,
weightedVSubOfPoint_indicator_subset _ _ _ h]
#align finset.affine_combination_indicator_subset Finset.affineCombination_indicator_subset
theorem affineCombination_map (e : ι₂ ↪ ι) (w : ι → k) (p : ι → P) :
(s₂.map e).affineCombination k p w = s₂.affineCombination k (p ∘ e) (w ∘ e) := by
simp_rw [affineCombination_apply, weightedVSubOfPoint_map]
#align finset.affine_combination_map Finset.affineCombination_map
| Mathlib/LinearAlgebra/AffineSpace/Combination.lean | 504 | 508 | theorem sum_smul_vsub_eq_affineCombination_vsub (w : ι → k) (p₁ p₂ : ι → P) :
(∑ i ∈ s, w i • (p₁ i -ᵥ p₂ i)) =
s.affineCombination k p₁ w -ᵥ s.affineCombination k p₂ w := by |
simp_rw [affineCombination_apply, vadd_vsub_vadd_cancel_right]
exact s.sum_smul_vsub_eq_weightedVSubOfPoint_sub _ _ _ _
|
import Mathlib.Algebra.Field.Defs
import Mathlib.Algebra.Ring.Int
#align_import data.int.cast.field from "leanprover-community/mathlib"@"acee671f47b8e7972a1eb6f4eed74b4b3abce829"
namespace Int
open Nat
variable {α : Type*}
@[norm_cast]
theorem cast_neg_natCast {R} [DivisionRing R] (n : ℕ) : ((-n : ℤ) : R) = -n := by simp
#align int.cast_neg_nat_cast Int.cast_neg_natCast
@[simp]
| Mathlib/Data/Int/Cast/Field.lean | 38 | 42 | theorem cast_div [DivisionRing α] {m n : ℤ} (n_dvd : n ∣ m) (hn : (n : α) ≠ 0) :
((m / n : ℤ) : α) = m / n := by |
rcases n_dvd with ⟨k, rfl⟩
have : n ≠ 0 := by rintro rfl; simp at hn
rw [Int.mul_ediv_cancel_left _ this, mul_comm n, Int.cast_mul, mul_div_cancel_right₀ _ hn]
|
import Mathlib.Probability.Process.Filtration
import Mathlib.Topology.Instances.Discrete
#align_import probability.process.adapted from "leanprover-community/mathlib"@"f2ce6086713c78a7f880485f7917ea547a215982"
open Filter Order TopologicalSpace
open scoped Classical MeasureTheory NNReal ENNReal Topology
namespace MeasureTheory
variable {Ω β ι : Type*} {m : MeasurableSpace Ω} [TopologicalSpace β] [Preorder ι]
{u v : ι → Ω → β} {f : Filtration ι m}
def Adapted (f : Filtration ι m) (u : ι → Ω → β) : Prop :=
∀ i : ι, StronglyMeasurable[f i] (u i)
#align measure_theory.adapted MeasureTheory.Adapted
theorem adapted_const (f : Filtration ι m) (x : β) : Adapted f fun _ _ => x := fun _ =>
stronglyMeasurable_const
#align measure_theory.adapted_const MeasureTheory.adapted_const
variable (β)
theorem adapted_zero [Zero β] (f : Filtration ι m) : Adapted f (0 : ι → Ω → β) := fun i =>
@stronglyMeasurable_zero Ω β (f i) _ _
#align measure_theory.adapted_zero MeasureTheory.adapted_zero
variable {β}
| Mathlib/Probability/Process/Adapted.lean | 99 | 105 | theorem Filtration.adapted_natural [MetrizableSpace β] [mβ : MeasurableSpace β] [BorelSpace β]
{u : ι → Ω → β} (hum : ∀ i, StronglyMeasurable[m] (u i)) :
Adapted (Filtration.natural u hum) u := by |
intro i
refine StronglyMeasurable.mono ?_ (le_iSup₂_of_le i (le_refl i) le_rfl)
rw [stronglyMeasurable_iff_measurable_separable]
exact ⟨measurable_iff_comap_le.2 le_rfl, (hum i).isSeparable_range⟩
|
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
|
import Mathlib.Algebra.Module.Submodule.EqLocus
import Mathlib.Algebra.Module.Submodule.RestrictScalars
import Mathlib.Algebra.Ring.Idempotents
import Mathlib.Data.Set.Pointwise.SMul
import Mathlib.LinearAlgebra.Basic
import Mathlib.Order.CompactlyGenerated.Basic
import Mathlib.Order.OmegaCompletePartialOrder
#align_import linear_algebra.span from "leanprover-community/mathlib"@"10878f6bf1dab863445907ab23fbfcefcb5845d0"
variable {R R₂ K M M₂ V S : Type*}
namespace Submodule
open Function Set
open Pointwise
section AddCommMonoid
variable [Semiring R] [AddCommMonoid M] [Module R M]
variable {x : M} (p p' : Submodule R M)
variable [Semiring R₂] {σ₁₂ : R →+* R₂}
variable [AddCommMonoid M₂] [Module R₂ M₂]
variable {F : Type*} [FunLike F M M₂] [SemilinearMapClass F σ₁₂ M M₂]
section
variable (R)
def span (s : Set M) : Submodule R M :=
sInf { p | s ⊆ p }
#align submodule.span Submodule.span
variable {R}
-- Porting note: renamed field to `principal'` and added `principal` to fix explicit argument
@[mk_iff]
class IsPrincipal (S : Submodule R M) : Prop where
principal' : ∃ a, S = span R {a}
#align submodule.is_principal Submodule.IsPrincipal
theorem IsPrincipal.principal (S : Submodule R M) [S.IsPrincipal] :
∃ a, S = span R {a} :=
Submodule.IsPrincipal.principal'
#align submodule.is_principal.principal Submodule.IsPrincipal.principal
end
variable {s t : Set M}
theorem mem_span : x ∈ span R s ↔ ∀ p : Submodule R M, s ⊆ p → x ∈ p :=
mem_iInter₂
#align submodule.mem_span Submodule.mem_span
@[aesop safe 20 apply (rule_sets := [SetLike])]
theorem subset_span : s ⊆ span R s := fun _ h => mem_span.2 fun _ hp => hp h
#align submodule.subset_span Submodule.subset_span
theorem span_le {p} : span R s ≤ p ↔ s ⊆ p :=
⟨Subset.trans subset_span, fun ss _ h => mem_span.1 h _ ss⟩
#align submodule.span_le Submodule.span_le
theorem span_mono (h : s ⊆ t) : span R s ≤ span R t :=
span_le.2 <| Subset.trans h subset_span
#align submodule.span_mono Submodule.span_mono
theorem span_monotone : Monotone (span R : Set M → Submodule R M) := fun _ _ => span_mono
#align submodule.span_monotone Submodule.span_monotone
theorem span_eq_of_le (h₁ : s ⊆ p) (h₂ : p ≤ span R s) : span R s = p :=
le_antisymm (span_le.2 h₁) h₂
#align submodule.span_eq_of_le Submodule.span_eq_of_le
theorem span_eq : span R (p : Set M) = p :=
span_eq_of_le _ (Subset.refl _) subset_span
#align submodule.span_eq Submodule.span_eq
theorem span_eq_span (hs : s ⊆ span R t) (ht : t ⊆ span R s) : span R s = span R t :=
le_antisymm (span_le.2 hs) (span_le.2 ht)
#align submodule.span_eq_span Submodule.span_eq_span
lemma coe_span_eq_self [SetLike S M] [AddSubmonoidClass S M] [SMulMemClass S R M] (s : S) :
(span R (s : Set M) : Set M) = s := by
refine le_antisymm ?_ subset_span
let s' : Submodule R M :=
{ carrier := s
add_mem' := add_mem
zero_mem' := zero_mem _
smul_mem' := SMulMemClass.smul_mem }
exact span_le (p := s') |>.mpr le_rfl
@[simp]
theorem span_coe_eq_restrictScalars [Semiring S] [SMul S R] [Module S M] [IsScalarTower S R M] :
span S (p : Set M) = p.restrictScalars S :=
span_eq (p.restrictScalars S)
#align submodule.span_coe_eq_restrict_scalars Submodule.span_coe_eq_restrictScalars
theorem image_span_subset (f : F) (s : Set M) (N : Submodule R₂ M₂) :
f '' span R s ⊆ N ↔ ∀ m ∈ s, f m ∈ N := image_subset_iff.trans <| span_le (p := N.comap f)
theorem image_span_subset_span (f : F) (s : Set M) : f '' span R s ⊆ span R₂ (f '' s) :=
(image_span_subset f s _).2 fun x hx ↦ subset_span ⟨x, hx, rfl⟩
theorem map_span [RingHomSurjective σ₁₂] (f : F) (s : Set M) :
(span R s).map f = span R₂ (f '' s) :=
Eq.symm <| span_eq_of_le _ (Set.image_subset f subset_span) (image_span_subset_span f s)
#align submodule.map_span Submodule.map_span
alias _root_.LinearMap.map_span := Submodule.map_span
#align linear_map.map_span LinearMap.map_span
theorem map_span_le [RingHomSurjective σ₁₂] (f : F) (s : Set M) (N : Submodule R₂ M₂) :
map f (span R s) ≤ N ↔ ∀ m ∈ s, f m ∈ N := image_span_subset f s N
#align submodule.map_span_le Submodule.map_span_le
alias _root_.LinearMap.map_span_le := Submodule.map_span_le
#align linear_map.map_span_le LinearMap.map_span_le
@[simp]
theorem span_insert_zero : span R (insert (0 : M) s) = span R s := by
refine le_antisymm ?_ (Submodule.span_mono (Set.subset_insert 0 s))
rw [span_le, Set.insert_subset_iff]
exact ⟨by simp only [SetLike.mem_coe, Submodule.zero_mem], Submodule.subset_span⟩
#align submodule.span_insert_zero Submodule.span_insert_zero
-- See also `span_preimage_eq` below.
theorem span_preimage_le (f : F) (s : Set M₂) :
span R (f ⁻¹' s) ≤ (span R₂ s).comap f := by
rw [span_le, comap_coe]
exact preimage_mono subset_span
#align submodule.span_preimage_le Submodule.span_preimage_le
alias _root_.LinearMap.span_preimage_le := Submodule.span_preimage_le
#align linear_map.span_preimage_le LinearMap.span_preimage_le
theorem closure_subset_span {s : Set M} : (AddSubmonoid.closure s : Set M) ⊆ span R s :=
(@AddSubmonoid.closure_le _ _ _ (span R s).toAddSubmonoid).mpr subset_span
#align submodule.closure_subset_span Submodule.closure_subset_span
theorem closure_le_toAddSubmonoid_span {s : Set M} :
AddSubmonoid.closure s ≤ (span R s).toAddSubmonoid :=
closure_subset_span
#align submodule.closure_le_to_add_submonoid_span Submodule.closure_le_toAddSubmonoid_span
@[simp]
theorem span_closure {s : Set M} : span R (AddSubmonoid.closure s : Set M) = span R s :=
le_antisymm (span_le.mpr closure_subset_span) (span_mono AddSubmonoid.subset_closure)
#align submodule.span_closure Submodule.span_closure
@[elab_as_elim]
theorem span_induction {p : M → Prop} (h : x ∈ span R s) (mem : ∀ x ∈ s, p x) (zero : p 0)
(add : ∀ x y, p x → p y → p (x + y)) (smul : ∀ (a : R) (x), p x → p (a • x)) : p x :=
((@span_le (p := ⟨⟨⟨p, by intros x y; exact add x y⟩, zero⟩, smul⟩)) s).2 mem h
#align submodule.span_induction Submodule.span_induction
theorem span_induction₂ {p : M → M → Prop} {a b : M} (ha : a ∈ Submodule.span R s)
(hb : b ∈ Submodule.span R s) (mem_mem : ∀ x ∈ s, ∀ y ∈ s, p x y)
(zero_left : ∀ y, p 0 y) (zero_right : ∀ x, p x 0)
(add_left : ∀ x₁ x₂ y, p x₁ y → p x₂ y → p (x₁ + x₂) y)
(add_right : ∀ x y₁ y₂, p x y₁ → p x y₂ → p x (y₁ + y₂))
(smul_left : ∀ (r : R) x y, p x y → p (r • x) y)
(smul_right : ∀ (r : R) x y, p x y → p x (r • y)) : p a b :=
Submodule.span_induction ha
(fun x hx => Submodule.span_induction hb (mem_mem x hx) (zero_right x) (add_right x) fun r =>
smul_right r x)
(zero_left b) (fun x₁ x₂ => add_left x₁ x₂ b) fun r x => smul_left r x b
@[elab_as_elim]
theorem span_induction' {p : ∀ x, x ∈ span R s → Prop}
(mem : ∀ (x) (h : x ∈ s), p x (subset_span h))
(zero : p 0 (Submodule.zero_mem _))
(add : ∀ x hx y hy, p x hx → p y hy → p (x + y) (Submodule.add_mem _ ‹_› ‹_›))
(smul : ∀ (a : R) (x hx), p x hx → p (a • x) (Submodule.smul_mem _ _ ‹_›)) {x}
(hx : x ∈ span R s) : p x hx := by
refine Exists.elim ?_ fun (hx : x ∈ span R s) (hc : p x hx) => hc
refine
span_induction hx (fun m hm => ⟨subset_span hm, mem m hm⟩) ⟨zero_mem _, zero⟩
(fun x y hx hy =>
Exists.elim hx fun hx' hx =>
Exists.elim hy fun hy' hy => ⟨add_mem hx' hy', add _ _ _ _ hx hy⟩)
fun r x hx => Exists.elim hx fun hx' hx => ⟨smul_mem _ _ hx', smul r _ _ hx⟩
#align submodule.span_induction' Submodule.span_induction'
open AddSubmonoid in
theorem span_eq_closure {s : Set M} : (span R s).toAddSubmonoid = closure (@univ R • s) := by
refine le_antisymm
(fun x hx ↦ span_induction hx (fun x hx ↦ subset_closure ⟨1, trivial, x, hx, one_smul R x⟩)
(zero_mem _) (fun _ _ ↦ add_mem) fun r m hm ↦ closure_induction hm ?_ ?_ fun _ _ h h' ↦ ?_)
(closure_le.2 ?_)
· rintro _ ⟨r, -, m, hm, rfl⟩; exact smul_mem _ _ (subset_span hm)
· rintro _ ⟨r', -, m, hm, rfl⟩; exact subset_closure ⟨r * r', trivial, m, hm, mul_smul r r' m⟩
· rw [smul_zero]; apply zero_mem
· rw [smul_add]; exact add_mem h h'
@[elab_as_elim]
theorem closure_induction {p : M → Prop} (h : x ∈ span R s) (zero : p 0)
(add : ∀ x y, p x → p y → p (x + y)) (smul_mem : ∀ r : R, ∀ x ∈ s, p (r • x)) : p x := by
rw [← mem_toAddSubmonoid, span_eq_closure] at h
refine AddSubmonoid.closure_induction h ?_ zero add
rintro _ ⟨r, -, m, hm, rfl⟩
exact smul_mem r m hm
@[elab_as_elim]
theorem closure_induction' {p : ∀ x, x ∈ span R s → Prop}
(zero : p 0 (Submodule.zero_mem _))
(add : ∀ x hx y hy, p x hx → p y hy → p (x + y) (Submodule.add_mem _ ‹_› ‹_›))
(smul_mem : ∀ (r x) (h : x ∈ s), p (r • x) (Submodule.smul_mem _ _ <| subset_span h)) {x}
(hx : x ∈ span R s) : p x hx := by
refine Exists.elim ?_ fun (hx : x ∈ span R s) (hc : p x hx) ↦ hc
refine closure_induction hx ⟨zero_mem _, zero⟩
(fun x y hx hy ↦ Exists.elim hx fun hx' hx ↦
Exists.elim hy fun hy' hy ↦ ⟨add_mem hx' hy', add _ _ _ _ hx hy⟩)
fun r x hx ↦ ⟨Submodule.smul_mem _ _ (subset_span hx), smul_mem r x hx⟩
@[simp]
theorem span_span_coe_preimage : span R (((↑) : span R s → M) ⁻¹' s) = ⊤ :=
eq_top_iff.2 fun x ↦ Subtype.recOn x fun x hx _ ↦ by
refine span_induction' (p := fun x hx ↦ (⟨x, hx⟩ : span R s) ∈ span R (Subtype.val ⁻¹' s))
(fun x' hx' ↦ subset_span hx') ?_ (fun x _ y _ ↦ ?_) (fun r x _ ↦ ?_) hx
· exact zero_mem _
· exact add_mem
· exact smul_mem _ _
#align submodule.span_span_coe_preimage Submodule.span_span_coe_preimage
@[simp]
lemma span_setOf_mem_eq_top :
span R {x : span R s | (x : M) ∈ s} = ⊤ :=
span_span_coe_preimage
theorem span_nat_eq_addSubmonoid_closure (s : Set M) :
(span ℕ s).toAddSubmonoid = AddSubmonoid.closure s := by
refine Eq.symm (AddSubmonoid.closure_eq_of_le subset_span ?_)
apply (OrderIso.to_galoisConnection (AddSubmonoid.toNatSubmodule (M := M)).symm).l_le
(a := span ℕ s) (b := AddSubmonoid.closure s)
rw [span_le]
exact AddSubmonoid.subset_closure
#align submodule.span_nat_eq_add_submonoid_closure Submodule.span_nat_eq_addSubmonoid_closure
@[simp]
theorem span_nat_eq (s : AddSubmonoid M) : (span ℕ (s : Set M)).toAddSubmonoid = s := by
rw [span_nat_eq_addSubmonoid_closure, s.closure_eq]
#align submodule.span_nat_eq Submodule.span_nat_eq
theorem span_int_eq_addSubgroup_closure {M : Type*} [AddCommGroup M] (s : Set M) :
(span ℤ s).toAddSubgroup = AddSubgroup.closure s :=
Eq.symm <|
AddSubgroup.closure_eq_of_le _ subset_span fun x hx =>
span_induction hx (fun x hx => AddSubgroup.subset_closure hx) (AddSubgroup.zero_mem _)
(fun _ _ => AddSubgroup.add_mem _) fun _ _ _ => AddSubgroup.zsmul_mem _ ‹_› _
#align submodule.span_int_eq_add_subgroup_closure Submodule.span_int_eq_addSubgroup_closure
@[simp]
theorem span_int_eq {M : Type*} [AddCommGroup M] (s : AddSubgroup M) :
(span ℤ (s : Set M)).toAddSubgroup = s := by rw [span_int_eq_addSubgroup_closure, s.closure_eq]
#align submodule.span_int_eq Submodule.span_int_eq
section
variable (R M)
protected def gi : GaloisInsertion (@span R M _ _ _) (↑) where
choice s _ := span R s
gc _ _ := span_le
le_l_u _ := subset_span
choice_eq _ _ := rfl
#align submodule.gi Submodule.gi
end
@[simp]
theorem span_empty : span R (∅ : Set M) = ⊥ :=
(Submodule.gi R M).gc.l_bot
#align submodule.span_empty Submodule.span_empty
@[simp]
theorem span_univ : span R (univ : Set M) = ⊤ :=
eq_top_iff.2 <| SetLike.le_def.2 <| subset_span
#align submodule.span_univ Submodule.span_univ
theorem span_union (s t : Set M) : span R (s ∪ t) = span R s ⊔ span R t :=
(Submodule.gi R M).gc.l_sup
#align submodule.span_union Submodule.span_union
theorem span_iUnion {ι} (s : ι → Set M) : span R (⋃ i, s i) = ⨆ i, span R (s i) :=
(Submodule.gi R M).gc.l_iSup
#align submodule.span_Union Submodule.span_iUnion
theorem span_iUnion₂ {ι} {κ : ι → Sort*} (s : ∀ i, κ i → Set M) :
span R (⋃ (i) (j), s i j) = ⨆ (i) (j), span R (s i j) :=
(Submodule.gi R M).gc.l_iSup₂
#align submodule.span_Union₂ Submodule.span_iUnion₂
theorem span_attach_biUnion [DecidableEq M] {α : Type*} (s : Finset α) (f : s → Finset M) :
span R (s.attach.biUnion f : Set M) = ⨆ x, span R (f x) := by simp [span_iUnion]
#align submodule.span_attach_bUnion Submodule.span_attach_biUnion
theorem sup_span : p ⊔ span R s = span R (p ∪ s) := by rw [Submodule.span_union, p.span_eq]
#align submodule.sup_span Submodule.sup_span
theorem span_sup : span R s ⊔ p = span R (s ∪ p) := by rw [Submodule.span_union, p.span_eq]
#align submodule.span_sup Submodule.span_sup
notation:1000
R " ∙ " x => span R (singleton x)
theorem span_eq_iSup_of_singleton_spans (s : Set M) : span R s = ⨆ x ∈ s, R ∙ x := by
simp only [← span_iUnion, Set.biUnion_of_singleton s]
#align submodule.span_eq_supr_of_singleton_spans Submodule.span_eq_iSup_of_singleton_spans
theorem span_range_eq_iSup {ι : Sort*} {v : ι → M} : span R (range v) = ⨆ i, R ∙ v i := by
rw [span_eq_iSup_of_singleton_spans, iSup_range]
#align submodule.span_range_eq_supr Submodule.span_range_eq_iSup
theorem span_smul_le (s : Set M) (r : R) : span R (r • s) ≤ span R s := by
rw [span_le]
rintro _ ⟨x, hx, rfl⟩
exact smul_mem (span R s) r (subset_span hx)
#align submodule.span_smul_le Submodule.span_smul_le
theorem subset_span_trans {U V W : Set M} (hUV : U ⊆ Submodule.span R V)
(hVW : V ⊆ Submodule.span R W) : U ⊆ Submodule.span R W :=
(Submodule.gi R M).gc.le_u_l_trans hUV hVW
#align submodule.subset_span_trans Submodule.subset_span_trans
theorem span_smul_eq_of_isUnit (s : Set M) (r : R) (hr : IsUnit r) : span R (r • s) = span R s := by
apply le_antisymm
· apply span_smul_le
· convert span_smul_le (r • s) ((hr.unit⁻¹ : _) : R)
rw [smul_smul]
erw [hr.unit.inv_val]
rw [one_smul]
#align submodule.span_smul_eq_of_is_unit Submodule.span_smul_eq_of_isUnit
@[simp]
theorem coe_iSup_of_directed {ι} [Nonempty ι] (S : ι → Submodule R M)
(H : Directed (· ≤ ·) S) : ((iSup S: Submodule R M) : Set M) = ⋃ i, S i :=
let s : Submodule R M :=
{ __ := AddSubmonoid.copy _ _ (AddSubmonoid.coe_iSup_of_directed H).symm
smul_mem' := fun r _ hx ↦ have ⟨i, hi⟩ := Set.mem_iUnion.mp hx
Set.mem_iUnion.mpr ⟨i, (S i).smul_mem' r hi⟩ }
have : iSup S = s := le_antisymm
(iSup_le fun i ↦ le_iSup (fun i ↦ (S i : Set M)) i) (Set.iUnion_subset fun _ ↦ le_iSup S _)
this.symm ▸ rfl
#align submodule.coe_supr_of_directed Submodule.coe_iSup_of_directed
@[simp]
theorem mem_iSup_of_directed {ι} [Nonempty ι] (S : ι → Submodule R M) (H : Directed (· ≤ ·) S) {x} :
x ∈ iSup S ↔ ∃ i, x ∈ S i := by
rw [← SetLike.mem_coe, coe_iSup_of_directed S H, mem_iUnion]
rfl
#align submodule.mem_supr_of_directed Submodule.mem_iSup_of_directed
theorem mem_sSup_of_directed {s : Set (Submodule R M)} {z} (hs : s.Nonempty)
(hdir : DirectedOn (· ≤ ·) s) : z ∈ sSup s ↔ ∃ y ∈ s, z ∈ y := by
have : Nonempty s := hs.to_subtype
simp only [sSup_eq_iSup', mem_iSup_of_directed _ hdir.directed_val, SetCoe.exists, Subtype.coe_mk,
exists_prop]
#align submodule.mem_Sup_of_directed Submodule.mem_sSup_of_directed
@[norm_cast, simp]
theorem coe_iSup_of_chain (a : ℕ →o Submodule R M) : (↑(⨆ k, a k) : Set M) = ⋃ k, (a k : Set M) :=
coe_iSup_of_directed a a.monotone.directed_le
#align submodule.coe_supr_of_chain Submodule.coe_iSup_of_chain
theorem coe_scott_continuous :
OmegaCompletePartialOrder.Continuous' ((↑) : Submodule R M → Set M) :=
⟨SetLike.coe_mono, coe_iSup_of_chain⟩
#align submodule.coe_scott_continuous Submodule.coe_scott_continuous
@[simp]
theorem mem_iSup_of_chain (a : ℕ →o Submodule R M) (m : M) : (m ∈ ⨆ k, a k) ↔ ∃ k, m ∈ a k :=
mem_iSup_of_directed a a.monotone.directed_le
#align submodule.mem_supr_of_chain Submodule.mem_iSup_of_chain
section
variable {p p'}
theorem mem_sup : x ∈ p ⊔ p' ↔ ∃ y ∈ p, ∃ z ∈ p', y + z = x :=
⟨fun h => by
rw [← span_eq p, ← span_eq p', ← span_union] at h
refine span_induction h ?_ ?_ ?_ ?_
· rintro y (h | h)
· exact ⟨y, h, 0, by simp, by simp⟩
· exact ⟨0, by simp, y, h, by simp⟩
· exact ⟨0, by simp, 0, by simp⟩
· rintro _ _ ⟨y₁, hy₁, z₁, hz₁, rfl⟩ ⟨y₂, hy₂, z₂, hz₂, rfl⟩
exact ⟨_, add_mem hy₁ hy₂, _, add_mem hz₁ hz₂, by
rw [add_assoc, add_assoc, ← add_assoc y₂, ← add_assoc z₁, add_comm y₂]⟩
· rintro a _ ⟨y, hy, z, hz, rfl⟩
exact ⟨_, smul_mem _ a hy, _, smul_mem _ a hz, by simp [smul_add]⟩, by
rintro ⟨y, hy, z, hz, rfl⟩
exact add_mem ((le_sup_left : p ≤ p ⊔ p') hy) ((le_sup_right : p' ≤ p ⊔ p') hz)⟩
#align submodule.mem_sup Submodule.mem_sup
theorem mem_sup' : x ∈ p ⊔ p' ↔ ∃ (y : p) (z : p'), (y : M) + z = x :=
mem_sup.trans <| by simp only [Subtype.exists, exists_prop]
#align submodule.mem_sup' Submodule.mem_sup'
lemma exists_add_eq_of_codisjoint (h : Codisjoint p p') (x : M) :
∃ y ∈ p, ∃ z ∈ p', y + z = x := by
suffices x ∈ p ⊔ p' by exact Submodule.mem_sup.mp this
simpa only [h.eq_top] using Submodule.mem_top
variable (p p')
theorem coe_sup : ↑(p ⊔ p') = (p + p' : Set M) := by
ext
rw [SetLike.mem_coe, mem_sup, Set.mem_add]
simp
#align submodule.coe_sup Submodule.coe_sup
theorem sup_toAddSubmonoid : (p ⊔ p').toAddSubmonoid = p.toAddSubmonoid ⊔ p'.toAddSubmonoid := by
ext x
rw [mem_toAddSubmonoid, mem_sup, AddSubmonoid.mem_sup]
rfl
#align submodule.sup_to_add_submonoid Submodule.sup_toAddSubmonoid
theorem sup_toAddSubgroup {R M : Type*} [Ring R] [AddCommGroup M] [Module R M]
(p p' : Submodule R M) : (p ⊔ p').toAddSubgroup = p.toAddSubgroup ⊔ p'.toAddSubgroup := by
ext x
rw [mem_toAddSubgroup, mem_sup, AddSubgroup.mem_sup]
rfl
#align submodule.sup_to_add_subgroup Submodule.sup_toAddSubgroup
end
theorem mem_span_singleton_self (x : M) : x ∈ R ∙ x :=
subset_span rfl
#align submodule.mem_span_singleton_self Submodule.mem_span_singleton_self
theorem nontrivial_span_singleton {x : M} (h : x ≠ 0) : Nontrivial (R ∙ x) :=
⟨by
use 0, ⟨x, Submodule.mem_span_singleton_self x⟩
intro H
rw [eq_comm, Submodule.mk_eq_zero] at H
exact h H⟩
#align submodule.nontrivial_span_singleton Submodule.nontrivial_span_singleton
theorem mem_span_singleton {y : M} : (x ∈ R ∙ y) ↔ ∃ a : R, a • y = x :=
⟨fun h => by
refine span_induction h ?_ ?_ ?_ ?_
· rintro y (rfl | ⟨⟨_⟩⟩)
exact ⟨1, by simp⟩
· exact ⟨0, by simp⟩
· rintro _ _ ⟨a, rfl⟩ ⟨b, rfl⟩
exact ⟨a + b, by simp [add_smul]⟩
· rintro a _ ⟨b, rfl⟩
exact ⟨a * b, by simp [smul_smul]⟩, by
rintro ⟨a, y, rfl⟩; exact smul_mem _ _ (subset_span <| by simp)⟩
#align submodule.mem_span_singleton Submodule.mem_span_singleton
theorem le_span_singleton_iff {s : Submodule R M} {v₀ : M} :
(s ≤ R ∙ v₀) ↔ ∀ v ∈ s, ∃ r : R, r • v₀ = v := by simp_rw [SetLike.le_def, mem_span_singleton]
#align submodule.le_span_singleton_iff Submodule.le_span_singleton_iff
variable (R)
theorem span_singleton_eq_top_iff (x : M) : (R ∙ x) = ⊤ ↔ ∀ v, ∃ r : R, r • x = v := by
rw [eq_top_iff, le_span_singleton_iff]
tauto
#align submodule.span_singleton_eq_top_iff Submodule.span_singleton_eq_top_iff
@[simp]
| Mathlib/LinearAlgebra/Span.lean | 510 | 512 | theorem span_zero_singleton : (R ∙ (0 : M)) = ⊥ := by |
ext
simp [mem_span_singleton, eq_comm]
|
import Mathlib.Data.Nat.Defs
import Mathlib.Data.Option.Basic
import Mathlib.Data.List.Defs
import Mathlib.Init.Data.List.Basic
import Mathlib.Init.Data.List.Instances
import Mathlib.Init.Data.List.Lemmas
import Mathlib.Logic.Unique
import Mathlib.Order.Basic
import Mathlib.Tactic.Common
#align_import data.list.basic from "leanprover-community/mathlib"@"65a1391a0106c9204fe45bc73a039f056558cb83"
assert_not_exists Set.range
assert_not_exists GroupWithZero
assert_not_exists Ring
open Function
open Nat hiding one_pos
namespace List
universe u v w
variable {ι : Type*} {α : Type u} {β : Type v} {γ : Type w} {l₁ l₂ : List α}
-- Porting note: Delete this attribute
-- attribute [inline] List.head!
instance uniqueOfIsEmpty [IsEmpty α] : Unique (List α) :=
{ instInhabitedList with
uniq := fun l =>
match l with
| [] => rfl
| a :: _ => isEmptyElim a }
#align list.unique_of_is_empty List.uniqueOfIsEmpty
instance : Std.LawfulIdentity (α := List α) Append.append [] where
left_id := nil_append
right_id := append_nil
instance : Std.Associative (α := List α) Append.append where
assoc := append_assoc
#align list.cons_ne_nil List.cons_ne_nil
#align list.cons_ne_self List.cons_ne_self
#align list.head_eq_of_cons_eq List.head_eq_of_cons_eqₓ -- implicits order
#align list.tail_eq_of_cons_eq List.tail_eq_of_cons_eqₓ -- implicits order
@[simp] theorem cons_injective {a : α} : Injective (cons a) := fun _ _ => tail_eq_of_cons_eq
#align list.cons_injective List.cons_injective
#align list.cons_inj List.cons_inj
#align list.cons_eq_cons List.cons_eq_cons
theorem singleton_injective : Injective fun a : α => [a] := fun _ _ h => (cons_eq_cons.1 h).1
#align list.singleton_injective List.singleton_injective
theorem singleton_inj {a b : α} : [a] = [b] ↔ a = b :=
singleton_injective.eq_iff
#align list.singleton_inj List.singleton_inj
#align list.exists_cons_of_ne_nil List.exists_cons_of_ne_nil
theorem set_of_mem_cons (l : List α) (a : α) : { x | x ∈ a :: l } = insert a { x | x ∈ l } :=
Set.ext fun _ => mem_cons
#align list.set_of_mem_cons List.set_of_mem_cons
#align list.mem_singleton_self List.mem_singleton_self
#align list.eq_of_mem_singleton List.eq_of_mem_singleton
#align list.mem_singleton List.mem_singleton
#align list.mem_of_mem_cons_of_mem List.mem_of_mem_cons_of_mem
theorem _root_.Decidable.List.eq_or_ne_mem_of_mem [DecidableEq α]
{a b : α} {l : List α} (h : a ∈ b :: l) : a = b ∨ a ≠ b ∧ a ∈ l := by
by_cases hab : a = b
· exact Or.inl hab
· exact ((List.mem_cons.1 h).elim Or.inl (fun h => Or.inr ⟨hab, h⟩))
#align decidable.list.eq_or_ne_mem_of_mem Decidable.List.eq_or_ne_mem_of_mem
#align list.eq_or_ne_mem_of_mem List.eq_or_ne_mem_of_mem
#align list.not_mem_append List.not_mem_append
#align list.ne_nil_of_mem List.ne_nil_of_mem
lemma mem_pair {a b c : α} : a ∈ [b, c] ↔ a = b ∨ a = c := by
rw [mem_cons, mem_singleton]
@[deprecated (since := "2024-03-23")] alias mem_split := append_of_mem
#align list.mem_split List.append_of_mem
#align list.mem_of_ne_of_mem List.mem_of_ne_of_mem
#align list.ne_of_not_mem_cons List.ne_of_not_mem_cons
#align list.not_mem_of_not_mem_cons List.not_mem_of_not_mem_cons
#align list.not_mem_cons_of_ne_of_not_mem List.not_mem_cons_of_ne_of_not_mem
#align list.ne_and_not_mem_of_not_mem_cons List.ne_and_not_mem_of_not_mem_cons
#align list.mem_map List.mem_map
#align list.exists_of_mem_map List.exists_of_mem_map
#align list.mem_map_of_mem List.mem_map_of_memₓ -- implicits order
-- The simpNF linter says that the LHS can be simplified via `List.mem_map`.
-- However this is a higher priority lemma.
-- https://github.com/leanprover/std4/issues/207
@[simp 1100, nolint simpNF]
theorem mem_map_of_injective {f : α → β} (H : Injective f) {a : α} {l : List α} :
f a ∈ map f l ↔ a ∈ l :=
⟨fun m => let ⟨_, m', e⟩ := exists_of_mem_map m; H e ▸ m', mem_map_of_mem _⟩
#align list.mem_map_of_injective List.mem_map_of_injective
@[simp]
theorem _root_.Function.Involutive.exists_mem_and_apply_eq_iff {f : α → α}
(hf : Function.Involutive f) (x : α) (l : List α) : (∃ y : α, y ∈ l ∧ f y = x) ↔ f x ∈ l :=
⟨by rintro ⟨y, h, rfl⟩; rwa [hf y], fun h => ⟨f x, h, hf _⟩⟩
#align function.involutive.exists_mem_and_apply_eq_iff Function.Involutive.exists_mem_and_apply_eq_iff
theorem mem_map_of_involutive {f : α → α} (hf : Involutive f) {a : α} {l : List α} :
a ∈ map f l ↔ f a ∈ l := by rw [mem_map, hf.exists_mem_and_apply_eq_iff]
#align list.mem_map_of_involutive List.mem_map_of_involutive
#align list.forall_mem_map_iff List.forall_mem_map_iffₓ -- universe order
#align list.map_eq_nil List.map_eq_nilₓ -- universe order
attribute [simp] List.mem_join
#align list.mem_join List.mem_join
#align list.exists_of_mem_join List.exists_of_mem_join
#align list.mem_join_of_mem List.mem_join_of_memₓ -- implicits order
attribute [simp] List.mem_bind
#align list.mem_bind List.mem_bindₓ -- implicits order
-- Porting note: bExists in Lean3, And in Lean4
#align list.exists_of_mem_bind List.exists_of_mem_bindₓ -- implicits order
#align list.mem_bind_of_mem List.mem_bind_of_memₓ -- implicits order
#align list.bind_map List.bind_mapₓ -- implicits order
theorem map_bind (g : β → List γ) (f : α → β) :
∀ l : List α, (List.map f l).bind g = l.bind fun a => g (f a)
| [] => rfl
| a :: l => by simp only [cons_bind, map_cons, map_bind _ _ l]
#align list.map_bind List.map_bind
#align list.length_eq_zero List.length_eq_zero
#align list.length_singleton List.length_singleton
#align list.length_pos_of_mem List.length_pos_of_mem
#align list.exists_mem_of_length_pos List.exists_mem_of_length_pos
#align list.length_pos_iff_exists_mem List.length_pos_iff_exists_mem
alias ⟨ne_nil_of_length_pos, length_pos_of_ne_nil⟩ := length_pos
#align list.ne_nil_of_length_pos List.ne_nil_of_length_pos
#align list.length_pos_of_ne_nil List.length_pos_of_ne_nil
theorem length_pos_iff_ne_nil {l : List α} : 0 < length l ↔ l ≠ [] :=
⟨ne_nil_of_length_pos, length_pos_of_ne_nil⟩
#align list.length_pos_iff_ne_nil List.length_pos_iff_ne_nil
#align list.exists_mem_of_ne_nil List.exists_mem_of_ne_nil
#align list.length_eq_one List.length_eq_one
theorem exists_of_length_succ {n} : ∀ l : List α, l.length = n + 1 → ∃ h t, l = h :: t
| [], H => absurd H.symm <| succ_ne_zero n
| h :: t, _ => ⟨h, t, rfl⟩
#align list.exists_of_length_succ List.exists_of_length_succ
@[simp] lemma length_injective_iff : Injective (List.length : List α → ℕ) ↔ Subsingleton α := by
constructor
· intro h; refine ⟨fun x y => ?_⟩; (suffices [x] = [y] by simpa using this); apply h; rfl
· intros hα l1 l2 hl
induction l1 generalizing l2 <;> cases l2
· rfl
· cases hl
· cases hl
· next ih _ _ =>
congr
· exact Subsingleton.elim _ _
· apply ih; simpa using hl
#align list.length_injective_iff List.length_injective_iff
@[simp default+1] -- Porting note: this used to be just @[simp]
lemma length_injective [Subsingleton α] : Injective (length : List α → ℕ) :=
length_injective_iff.mpr inferInstance
#align list.length_injective List.length_injective
theorem length_eq_two {l : List α} : l.length = 2 ↔ ∃ a b, l = [a, b] :=
⟨fun _ => let [a, b] := l; ⟨a, b, rfl⟩, fun ⟨_, _, e⟩ => e ▸ rfl⟩
#align list.length_eq_two List.length_eq_two
theorem length_eq_three {l : List α} : l.length = 3 ↔ ∃ a b c, l = [a, b, c] :=
⟨fun _ => let [a, b, c] := l; ⟨a, b, c, rfl⟩, fun ⟨_, _, _, e⟩ => e ▸ rfl⟩
#align list.length_eq_three List.length_eq_three
#align list.sublist.length_le List.Sublist.length_le
-- ADHOC Porting note: instance from Lean3 core
instance instSingletonList : Singleton α (List α) := ⟨fun x => [x]⟩
#align list.has_singleton List.instSingletonList
-- ADHOC Porting note: instance from Lean3 core
instance [DecidableEq α] : Insert α (List α) := ⟨List.insert⟩
-- ADHOC Porting note: instance from Lean3 core
instance [DecidableEq α] : LawfulSingleton α (List α) :=
{ insert_emptyc_eq := fun x =>
show (if x ∈ ([] : List α) then [] else [x]) = [x] from if_neg (not_mem_nil _) }
#align list.empty_eq List.empty_eq
theorem singleton_eq (x : α) : ({x} : List α) = [x] :=
rfl
#align list.singleton_eq List.singleton_eq
theorem insert_neg [DecidableEq α] {x : α} {l : List α} (h : x ∉ l) :
Insert.insert x l = x :: l :=
insert_of_not_mem h
#align list.insert_neg List.insert_neg
theorem insert_pos [DecidableEq α] {x : α} {l : List α} (h : x ∈ l) : Insert.insert x l = l :=
insert_of_mem h
#align list.insert_pos List.insert_pos
theorem doubleton_eq [DecidableEq α] {x y : α} (h : x ≠ y) : ({x, y} : List α) = [x, y] := by
rw [insert_neg, singleton_eq]
rwa [singleton_eq, mem_singleton]
#align list.doubleton_eq List.doubleton_eq
#align list.forall_mem_nil List.forall_mem_nil
#align list.forall_mem_cons List.forall_mem_cons
theorem forall_mem_of_forall_mem_cons {p : α → Prop} {a : α} {l : List α} (h : ∀ x ∈ a :: l, p x) :
∀ x ∈ l, p x := (forall_mem_cons.1 h).2
#align list.forall_mem_of_forall_mem_cons List.forall_mem_of_forall_mem_cons
#align list.forall_mem_singleton List.forall_mem_singleton
#align list.forall_mem_append List.forall_mem_append
#align list.not_exists_mem_nil List.not_exists_mem_nilₓ -- bExists change
-- Porting note: bExists in Lean3 and And in Lean4
theorem exists_mem_cons_of {p : α → Prop} {a : α} (l : List α) (h : p a) : ∃ x ∈ a :: l, p x :=
⟨a, mem_cons_self _ _, h⟩
#align list.exists_mem_cons_of List.exists_mem_cons_ofₓ -- bExists change
-- Porting note: bExists in Lean3 and And in Lean4
theorem exists_mem_cons_of_exists {p : α → Prop} {a : α} {l : List α} : (∃ x ∈ l, p x) →
∃ x ∈ a :: l, p x :=
fun ⟨x, xl, px⟩ => ⟨x, mem_cons_of_mem _ xl, px⟩
#align list.exists_mem_cons_of_exists List.exists_mem_cons_of_existsₓ -- bExists change
-- Porting note: bExists in Lean3 and And in Lean4
theorem or_exists_of_exists_mem_cons {p : α → Prop} {a : α} {l : List α} : (∃ x ∈ a :: l, p x) →
p a ∨ ∃ x ∈ l, p x :=
fun ⟨x, xal, px⟩ =>
Or.elim (eq_or_mem_of_mem_cons xal) (fun h : x = a => by rw [← h]; left; exact px)
fun h : x ∈ l => Or.inr ⟨x, h, px⟩
#align list.or_exists_of_exists_mem_cons List.or_exists_of_exists_mem_consₓ -- bExists change
theorem exists_mem_cons_iff (p : α → Prop) (a : α) (l : List α) :
(∃ x ∈ a :: l, p x) ↔ p a ∨ ∃ x ∈ l, p x :=
Iff.intro or_exists_of_exists_mem_cons fun h =>
Or.elim h (exists_mem_cons_of l) exists_mem_cons_of_exists
#align list.exists_mem_cons_iff List.exists_mem_cons_iff
instance : IsTrans (List α) Subset where
trans := fun _ _ _ => List.Subset.trans
#align list.subset_def List.subset_def
#align list.subset_append_of_subset_left List.subset_append_of_subset_left
#align list.subset_append_of_subset_right List.subset_append_of_subset_right
#align list.cons_subset List.cons_subset
theorem cons_subset_of_subset_of_mem {a : α} {l m : List α}
(ainm : a ∈ m) (lsubm : l ⊆ m) : a::l ⊆ m :=
cons_subset.2 ⟨ainm, lsubm⟩
#align list.cons_subset_of_subset_of_mem List.cons_subset_of_subset_of_mem
theorem append_subset_of_subset_of_subset {l₁ l₂ l : List α} (l₁subl : l₁ ⊆ l) (l₂subl : l₂ ⊆ l) :
l₁ ++ l₂ ⊆ l :=
fun _ h ↦ (mem_append.1 h).elim (@l₁subl _) (@l₂subl _)
#align list.append_subset_of_subset_of_subset List.append_subset_of_subset_of_subset
-- Porting note: in Batteries
#align list.append_subset_iff List.append_subset
alias ⟨eq_nil_of_subset_nil, _⟩ := subset_nil
#align list.eq_nil_of_subset_nil List.eq_nil_of_subset_nil
#align list.eq_nil_iff_forall_not_mem List.eq_nil_iff_forall_not_mem
#align list.map_subset List.map_subset
theorem map_subset_iff {l₁ l₂ : List α} (f : α → β) (h : Injective f) :
map f l₁ ⊆ map f l₂ ↔ l₁ ⊆ l₂ := by
refine ⟨?_, map_subset f⟩; intro h2 x hx
rcases mem_map.1 (h2 (mem_map_of_mem f hx)) with ⟨x', hx', hxx'⟩
cases h hxx'; exact hx'
#align list.map_subset_iff List.map_subset_iff
theorem append_eq_has_append {L₁ L₂ : List α} : List.append L₁ L₂ = L₁ ++ L₂ :=
rfl
#align list.append_eq_has_append List.append_eq_has_append
#align list.singleton_append List.singleton_append
#align list.append_ne_nil_of_ne_nil_left List.append_ne_nil_of_ne_nil_left
#align list.append_ne_nil_of_ne_nil_right List.append_ne_nil_of_ne_nil_right
#align list.append_eq_nil List.append_eq_nil
-- Porting note: in Batteries
#align list.nil_eq_append_iff List.nil_eq_append
@[deprecated (since := "2024-03-24")] alias append_eq_cons_iff := append_eq_cons
#align list.append_eq_cons_iff List.append_eq_cons
@[deprecated (since := "2024-03-24")] alias cons_eq_append_iff := cons_eq_append
#align list.cons_eq_append_iff List.cons_eq_append
#align list.append_eq_append_iff List.append_eq_append_iff
#align list.take_append_drop List.take_append_drop
#align list.append_inj List.append_inj
#align list.append_inj_right List.append_inj_rightₓ -- implicits order
#align list.append_inj_left List.append_inj_leftₓ -- implicits order
#align list.append_inj' List.append_inj'ₓ -- implicits order
#align list.append_inj_right' List.append_inj_right'ₓ -- implicits order
#align list.append_inj_left' List.append_inj_left'ₓ -- implicits order
@[deprecated (since := "2024-01-18")] alias append_left_cancel := append_cancel_left
#align list.append_left_cancel List.append_cancel_left
@[deprecated (since := "2024-01-18")] alias append_right_cancel := append_cancel_right
#align list.append_right_cancel List.append_cancel_right
@[simp] theorem append_left_eq_self {x y : List α} : x ++ y = y ↔ x = [] := by
rw [← append_left_inj (s₁ := x), nil_append]
@[simp] theorem self_eq_append_left {x y : List α} : y = x ++ y ↔ x = [] := by
rw [eq_comm, append_left_eq_self]
@[simp] theorem append_right_eq_self {x y : List α} : x ++ y = x ↔ y = [] := by
rw [← append_right_inj (t₁ := y), append_nil]
@[simp] theorem self_eq_append_right {x y : List α} : x = x ++ y ↔ y = [] := by
rw [eq_comm, append_right_eq_self]
theorem append_right_injective (s : List α) : Injective fun t ↦ s ++ t :=
fun _ _ ↦ append_cancel_left
#align list.append_right_injective List.append_right_injective
#align list.append_right_inj List.append_right_inj
theorem append_left_injective (t : List α) : Injective fun s ↦ s ++ t :=
fun _ _ ↦ append_cancel_right
#align list.append_left_injective List.append_left_injective
#align list.append_left_inj List.append_left_inj
#align list.map_eq_append_split List.map_eq_append_split
@[simp] lemma replicate_zero (a : α) : replicate 0 a = [] := rfl
#align list.replicate_zero List.replicate_zero
attribute [simp] replicate_succ
#align list.replicate_succ List.replicate_succ
lemma replicate_one (a : α) : replicate 1 a = [a] := rfl
#align list.replicate_one List.replicate_one
#align list.length_replicate List.length_replicate
#align list.mem_replicate List.mem_replicate
#align list.eq_of_mem_replicate List.eq_of_mem_replicate
theorem eq_replicate_length {a : α} : ∀ {l : List α}, l = replicate l.length a ↔ ∀ b ∈ l, b = a
| [] => by simp
| (b :: l) => by simp [eq_replicate_length]
#align list.eq_replicate_length List.eq_replicate_length
#align list.eq_replicate_of_mem List.eq_replicate_of_mem
#align list.eq_replicate List.eq_replicate
theorem replicate_add (m n) (a : α) : replicate (m + n) a = replicate m a ++ replicate n a := by
induction m <;> simp [*, succ_add, replicate]
#align list.replicate_add List.replicate_add
theorem replicate_succ' (n) (a : α) : replicate (n + 1) a = replicate n a ++ [a] :=
replicate_add n 1 a
#align list.replicate_succ' List.replicate_succ'
theorem replicate_subset_singleton (n) (a : α) : replicate n a ⊆ [a] := fun _ h =>
mem_singleton.2 (eq_of_mem_replicate h)
#align list.replicate_subset_singleton List.replicate_subset_singleton
theorem subset_singleton_iff {a : α} {L : List α} : L ⊆ [a] ↔ ∃ n, L = replicate n a := by
simp only [eq_replicate, subset_def, mem_singleton, exists_eq_left']
#align list.subset_singleton_iff List.subset_singleton_iff
@[simp] theorem map_replicate (f : α → β) (n) (a : α) :
map f (replicate n a) = replicate n (f a) := by
induction n <;> [rfl; simp only [*, replicate, map]]
#align list.map_replicate List.map_replicate
@[simp] theorem tail_replicate (a : α) (n) :
tail (replicate n a) = replicate (n - 1) a := by cases n <;> rfl
#align list.tail_replicate List.tail_replicate
@[simp] theorem join_replicate_nil (n : ℕ) : join (replicate n []) = @nil α := by
induction n <;> [rfl; simp only [*, replicate, join, append_nil]]
#align list.join_replicate_nil List.join_replicate_nil
theorem replicate_right_injective {n : ℕ} (hn : n ≠ 0) : Injective (@replicate α n) :=
fun _ _ h => (eq_replicate.1 h).2 _ <| mem_replicate.2 ⟨hn, rfl⟩
#align list.replicate_right_injective List.replicate_right_injective
theorem replicate_right_inj {a b : α} {n : ℕ} (hn : n ≠ 0) :
replicate n a = replicate n b ↔ a = b :=
(replicate_right_injective hn).eq_iff
#align list.replicate_right_inj List.replicate_right_inj
@[simp] theorem replicate_right_inj' {a b : α} : ∀ {n},
replicate n a = replicate n b ↔ n = 0 ∨ a = b
| 0 => by simp
| n + 1 => (replicate_right_inj n.succ_ne_zero).trans <| by simp only [n.succ_ne_zero, false_or]
#align list.replicate_right_inj' List.replicate_right_inj'
theorem replicate_left_injective (a : α) : Injective (replicate · a) :=
LeftInverse.injective (length_replicate · a)
#align list.replicate_left_injective List.replicate_left_injective
@[simp] theorem replicate_left_inj {a : α} {n m : ℕ} : replicate n a = replicate m a ↔ n = m :=
(replicate_left_injective a).eq_iff
#align list.replicate_left_inj List.replicate_left_inj
@[simp] theorem head_replicate (n : ℕ) (a : α) (h) : head (replicate n a) h = a := by
cases n <;> simp at h ⊢
| Mathlib/Data/List/Basic.lean | 490 | 490 | theorem mem_pure (x y : α) : x ∈ (pure y : List α) ↔ x = y := by | simp
|
import Mathlib.Analysis.Convex.Topology
import Mathlib.Analysis.NormedSpace.Pointwise
import Mathlib.Analysis.Seminorm
import Mathlib.Analysis.LocallyConvex.Bounded
import Mathlib.Analysis.RCLike.Basic
#align_import analysis.convex.gauge from "leanprover-community/mathlib"@"373b03b5b9d0486534edbe94747f23cb3712f93d"
open NormedField Set
open scoped Pointwise Topology NNReal
noncomputable section
variable {𝕜 E F : Type*}
section AddCommGroup
variable [AddCommGroup E] [Module ℝ E]
def gauge (s : Set E) (x : E) : ℝ :=
sInf { r : ℝ | 0 < r ∧ x ∈ r • s }
#align gauge gauge
variable {s t : Set E} {x : E} {a : ℝ}
theorem gauge_def : gauge s x = sInf ({ r ∈ Set.Ioi (0 : ℝ) | x ∈ r • s }) :=
rfl
#align gauge_def gauge_def
theorem gauge_def' : gauge s x = sInf {r ∈ Set.Ioi (0 : ℝ) | r⁻¹ • x ∈ s} := by
congrm sInf {r | ?_}
exact and_congr_right fun hr => mem_smul_set_iff_inv_smul_mem₀ hr.ne' _ _
#align gauge_def' gauge_def'
private theorem gauge_set_bddBelow : BddBelow { r : ℝ | 0 < r ∧ x ∈ r • s } :=
⟨0, fun _ hr => hr.1.le⟩
theorem Absorbent.gauge_set_nonempty (absorbs : Absorbent ℝ s) :
{ r : ℝ | 0 < r ∧ x ∈ r • s }.Nonempty :=
let ⟨r, hr₁, hr₂⟩ := (absorbs x).exists_pos
⟨r, hr₁, hr₂ r (Real.norm_of_nonneg hr₁.le).ge rfl⟩
#align absorbent.gauge_set_nonempty Absorbent.gauge_set_nonempty
theorem gauge_mono (hs : Absorbent ℝ s) (h : s ⊆ t) : gauge t ≤ gauge s := fun _ =>
csInf_le_csInf gauge_set_bddBelow hs.gauge_set_nonempty fun _ hr => ⟨hr.1, smul_set_mono h hr.2⟩
#align gauge_mono gauge_mono
theorem exists_lt_of_gauge_lt (absorbs : Absorbent ℝ s) (h : gauge s x < a) :
∃ b, 0 < b ∧ b < a ∧ x ∈ b • s := by
obtain ⟨b, ⟨hb, hx⟩, hba⟩ := exists_lt_of_csInf_lt absorbs.gauge_set_nonempty h
exact ⟨b, hb, hba, hx⟩
#align exists_lt_of_gauge_lt exists_lt_of_gauge_lt
@[simp]
theorem gauge_zero : gauge s 0 = 0 := by
rw [gauge_def']
by_cases h : (0 : E) ∈ s
· simp only [smul_zero, sep_true, h, csInf_Ioi]
· simp only [smul_zero, sep_false, h, Real.sInf_empty]
#align gauge_zero gauge_zero
@[simp]
theorem gauge_zero' : gauge (0 : Set E) = 0 := by
ext x
rw [gauge_def']
obtain rfl | hx := eq_or_ne x 0
· simp only [csInf_Ioi, mem_zero, Pi.zero_apply, eq_self_iff_true, sep_true, smul_zero]
· simp only [mem_zero, Pi.zero_apply, inv_eq_zero, smul_eq_zero]
convert Real.sInf_empty
exact eq_empty_iff_forall_not_mem.2 fun r hr => hr.2.elim (ne_of_gt hr.1) hx
#align gauge_zero' gauge_zero'
@[simp]
theorem gauge_empty : gauge (∅ : Set E) = 0 := by
ext
simp only [gauge_def', Real.sInf_empty, mem_empty_iff_false, Pi.zero_apply, sep_false]
#align gauge_empty gauge_empty
theorem gauge_of_subset_zero (h : s ⊆ 0) : gauge s = 0 := by
obtain rfl | rfl := subset_singleton_iff_eq.1 h
exacts [gauge_empty, gauge_zero']
#align gauge_of_subset_zero gauge_of_subset_zero
theorem gauge_nonneg (x : E) : 0 ≤ gauge s x :=
Real.sInf_nonneg _ fun _ hx => hx.1.le
#align gauge_nonneg gauge_nonneg
theorem gauge_neg (symmetric : ∀ x ∈ s, -x ∈ s) (x : E) : gauge s (-x) = gauge s x := by
have : ∀ x, -x ∈ s ↔ x ∈ s := fun x => ⟨fun h => by simpa using symmetric _ h, symmetric x⟩
simp_rw [gauge_def', smul_neg, this]
#align gauge_neg gauge_neg
theorem gauge_neg_set_neg (x : E) : gauge (-s) (-x) = gauge s x := by
simp_rw [gauge_def', smul_neg, neg_mem_neg]
#align gauge_neg_set_neg gauge_neg_set_neg
theorem gauge_neg_set_eq_gauge_neg (x : E) : gauge (-s) x = gauge s (-x) := by
rw [← gauge_neg_set_neg, neg_neg]
#align gauge_neg_set_eq_gauge_neg gauge_neg_set_eq_gauge_neg
theorem gauge_le_of_mem (ha : 0 ≤ a) (hx : x ∈ a • s) : gauge s x ≤ a := by
obtain rfl | ha' := ha.eq_or_lt
· rw [mem_singleton_iff.1 (zero_smul_set_subset _ hx), gauge_zero]
· exact csInf_le gauge_set_bddBelow ⟨ha', hx⟩
#align gauge_le_of_mem gauge_le_of_mem
theorem gauge_le_eq (hs₁ : Convex ℝ s) (hs₀ : (0 : E) ∈ s) (hs₂ : Absorbent ℝ s) (ha : 0 ≤ a) :
{ x | gauge s x ≤ a } = ⋂ (r : ℝ) (_ : a < r), r • s := by
ext x
simp_rw [Set.mem_iInter, Set.mem_setOf_eq]
refine ⟨fun h r hr => ?_, fun h => le_of_forall_pos_lt_add fun ε hε => ?_⟩
· have hr' := ha.trans_lt hr
rw [mem_smul_set_iff_inv_smul_mem₀ hr'.ne']
obtain ⟨δ, δ_pos, hδr, hδ⟩ := exists_lt_of_gauge_lt hs₂ (h.trans_lt hr)
suffices (r⁻¹ * δ) • δ⁻¹ • x ∈ s by rwa [smul_smul, mul_inv_cancel_right₀ δ_pos.ne'] at this
rw [mem_smul_set_iff_inv_smul_mem₀ δ_pos.ne'] at hδ
refine hs₁.smul_mem_of_zero_mem hs₀ hδ ⟨by positivity, ?_⟩
rw [inv_mul_le_iff hr', mul_one]
exact hδr.le
· have hε' := (lt_add_iff_pos_right a).2 (half_pos hε)
exact
(gauge_le_of_mem (ha.trans hε'.le) <| h _ hε').trans_lt (add_lt_add_left (half_lt_self hε) _)
#align gauge_le_eq gauge_le_eq
theorem gauge_lt_eq' (absorbs : Absorbent ℝ s) (a : ℝ) :
{ x | gauge s x < a } = ⋃ (r : ℝ) (_ : 0 < r) (_ : r < a), r • s := by
ext
simp_rw [mem_setOf, mem_iUnion, exists_prop]
exact
⟨exists_lt_of_gauge_lt absorbs, fun ⟨r, hr₀, hr₁, hx⟩ =>
(gauge_le_of_mem hr₀.le hx).trans_lt hr₁⟩
#align gauge_lt_eq' gauge_lt_eq'
theorem gauge_lt_eq (absorbs : Absorbent ℝ s) (a : ℝ) :
{ x | gauge s x < a } = ⋃ r ∈ Set.Ioo 0 (a : ℝ), r • s := by
ext
simp_rw [mem_setOf, mem_iUnion, exists_prop, mem_Ioo, and_assoc]
exact
⟨exists_lt_of_gauge_lt absorbs, fun ⟨r, hr₀, hr₁, hx⟩ =>
(gauge_le_of_mem hr₀.le hx).trans_lt hr₁⟩
#align gauge_lt_eq gauge_lt_eq
theorem mem_openSegment_of_gauge_lt_one (absorbs : Absorbent ℝ s) (hgauge : gauge s x < 1) :
∃ y ∈ s, x ∈ openSegment ℝ 0 y := by
rcases exists_lt_of_gauge_lt absorbs hgauge with ⟨r, hr₀, hr₁, y, hy, rfl⟩
refine ⟨y, hy, 1 - r, r, ?_⟩
simp [*]
theorem gauge_lt_one_subset_self (hs : Convex ℝ s) (h₀ : (0 : E) ∈ s) (absorbs : Absorbent ℝ s) :
{ x | gauge s x < 1 } ⊆ s := fun _x hx ↦
let ⟨_y, hys, hx⟩ := mem_openSegment_of_gauge_lt_one absorbs hx
hs.openSegment_subset h₀ hys hx
#align gauge_lt_one_subset_self gauge_lt_one_subset_self
theorem gauge_le_one_of_mem {x : E} (hx : x ∈ s) : gauge s x ≤ 1 :=
gauge_le_of_mem zero_le_one <| by rwa [one_smul]
#align gauge_le_one_of_mem gauge_le_one_of_mem
theorem gauge_add_le (hs : Convex ℝ s) (absorbs : Absorbent ℝ s) (x y : E) :
gauge s (x + y) ≤ gauge s x + gauge s y := by
refine le_of_forall_pos_lt_add fun ε hε => ?_
obtain ⟨a, ha, ha', x, hx, rfl⟩ :=
exists_lt_of_gauge_lt absorbs (lt_add_of_pos_right (gauge s x) (half_pos hε))
obtain ⟨b, hb, hb', y, hy, rfl⟩ :=
exists_lt_of_gauge_lt absorbs (lt_add_of_pos_right (gauge s y) (half_pos hε))
calc
gauge s (a • x + b • y) ≤ a + b := gauge_le_of_mem (by positivity) <| by
rw [hs.add_smul ha.le hb.le]
exact add_mem_add (smul_mem_smul_set hx) (smul_mem_smul_set hy)
_ < gauge s (a • x) + gauge s (b • y) + ε := by linarith
#align gauge_add_le gauge_add_le
theorem self_subset_gauge_le_one : s ⊆ { x | gauge s x ≤ 1 } := fun _ => gauge_le_one_of_mem
#align self_subset_gauge_le_one self_subset_gauge_le_one
theorem Convex.gauge_le (hs : Convex ℝ s) (h₀ : (0 : E) ∈ s) (absorbs : Absorbent ℝ s) (a : ℝ) :
Convex ℝ { x | gauge s x ≤ a } := by
by_cases ha : 0 ≤ a
· rw [gauge_le_eq hs h₀ absorbs ha]
exact convex_iInter fun i => convex_iInter fun _ => hs.smul _
· -- Porting note: `convert` needed help
convert convex_empty (𝕜 := ℝ) (E := E)
exact eq_empty_iff_forall_not_mem.2 fun x hx => ha <| (gauge_nonneg _).trans hx
#align convex.gauge_le Convex.gauge_le
theorem Balanced.starConvex (hs : Balanced ℝ s) : StarConvex ℝ 0 s :=
starConvex_zero_iff.2 fun x hx a ha₀ ha₁ =>
hs _ (by rwa [Real.norm_of_nonneg ha₀]) (smul_mem_smul_set hx)
#align balanced.star_convex Balanced.starConvex
theorem le_gauge_of_not_mem (hs₀ : StarConvex ℝ 0 s) (hs₂ : Absorbs ℝ s {x}) (hx : x ∉ a • s) :
a ≤ gauge s x := by
rw [starConvex_zero_iff] at hs₀
obtain ⟨r, hr, h⟩ := hs₂.exists_pos
refine le_csInf ⟨r, hr, singleton_subset_iff.1 <| h _ (Real.norm_of_nonneg hr.le).ge⟩ ?_
rintro b ⟨hb, x, hx', rfl⟩
refine not_lt.1 fun hba => hx ?_
have ha := hb.trans hba
refine ⟨(a⁻¹ * b) • x, hs₀ hx' (by positivity) ?_, ?_⟩
· rw [← div_eq_inv_mul]
exact div_le_one_of_le hba.le ha.le
· dsimp only
rw [← mul_smul, mul_inv_cancel_left₀ ha.ne']
#align le_gauge_of_not_mem le_gauge_of_not_mem
theorem one_le_gauge_of_not_mem (hs₁ : StarConvex ℝ 0 s) (hs₂ : Absorbs ℝ s {x}) (hx : x ∉ s) :
1 ≤ gauge s x :=
le_gauge_of_not_mem hs₁ hs₂ <| by rwa [one_smul]
#align one_le_gauge_of_not_mem one_le_gauge_of_not_mem
open Filter
section TopologicalSpace
variable [TopologicalSpace E]
theorem comap_gauge_nhds_zero_le (ha : Absorbent ℝ s) (hb : Bornology.IsVonNBounded ℝ s) :
comap (gauge s) (𝓝 0) ≤ 𝓝 0 := fun u hu ↦ by
rcases (hb hu).exists_pos with ⟨r, hr₀, hr⟩
filter_upwards [preimage_mem_comap (gt_mem_nhds (inv_pos.2 hr₀))] with x (hx : gauge s x < r⁻¹)
rcases exists_lt_of_gauge_lt ha hx with ⟨c, hc₀, hcr, y, hy, rfl⟩
have hrc := (lt_inv hr₀ hc₀).2 hcr
rcases hr c⁻¹ (hrc.le.trans (le_abs_self _)) hy with ⟨z, hz, rfl⟩
simpa only [smul_inv_smul₀ hc₀.ne']
variable [T1Space E]
| Mathlib/Analysis/Convex/Gauge.lean | 358 | 364 | theorem gauge_eq_zero (hs : Absorbent ℝ s) (hb : Bornology.IsVonNBounded ℝ s) :
gauge s x = 0 ↔ x = 0 := by |
refine ⟨fun h₀ ↦ by_contra fun (hne : x ≠ 0) ↦ ?_, fun h ↦ h.symm ▸ gauge_zero⟩
have : {x}ᶜ ∈ comap (gauge s) (𝓝 0) :=
comap_gauge_nhds_zero_le hs hb (isOpen_compl_singleton.mem_nhds hne.symm)
rcases ((nhds_basis_zero_abs_sub_lt _).comap _).mem_iff.1 this with ⟨r, hr₀, hr⟩
exact hr (by simpa [h₀]) rfl
|
import Mathlib.Data.Set.Function
import Mathlib.Logic.Relation
import Mathlib.Logic.Pairwise
#align_import data.set.pairwise.basic from "leanprover-community/mathlib"@"c4c2ed622f43768eff32608d4a0f8a6cec1c047d"
open Function Order Set
variable {α β γ ι ι' : Type*} {r p q : α → α → Prop}
section Pairwise
variable {f g : ι → α} {s t u : Set α} {a b : α}
| Mathlib/Data/Set/Pairwise/Basic.lean | 41 | 42 | theorem pairwise_on_bool (hr : Symmetric r) {a b : α} :
Pairwise (r on fun c => cond c a b) ↔ r a b := by | simpa [Pairwise, Function.onFun] using @hr a b
|
import Mathlib.Analysis.Normed.Group.Basic
#align_import information_theory.hamming from "leanprover-community/mathlib"@"17ef379e997badd73e5eabb4d38f11919ab3c4b3"
section HammingDistNorm
open Finset Function
variable {α ι : Type*} {β : ι → Type*} [Fintype ι] [∀ i, DecidableEq (β i)]
variable {γ : ι → Type*} [∀ i, DecidableEq (γ i)]
def hammingDist (x y : ∀ i, β i) : ℕ :=
(univ.filter fun i => x i ≠ y i).card
#align hamming_dist hammingDist
@[simp]
theorem hammingDist_self (x : ∀ i, β i) : hammingDist x x = 0 := by
rw [hammingDist, card_eq_zero, filter_eq_empty_iff]
exact fun _ _ H => H rfl
#align hamming_dist_self hammingDist_self
theorem hammingDist_nonneg {x y : ∀ i, β i} : 0 ≤ hammingDist x y :=
zero_le _
#align hamming_dist_nonneg hammingDist_nonneg
theorem hammingDist_comm (x y : ∀ i, β i) : hammingDist x y = hammingDist y x := by
simp_rw [hammingDist, ne_comm]
#align hamming_dist_comm hammingDist_comm
theorem hammingDist_triangle (x y z : ∀ i, β i) :
hammingDist x z ≤ hammingDist x y + hammingDist y z := by
classical
unfold hammingDist
refine le_trans (card_mono ?_) (card_union_le _ _)
rw [← filter_or]
exact monotone_filter_right _ fun i h ↦ (h.ne_or_ne _).imp_right Ne.symm
#align hamming_dist_triangle hammingDist_triangle
theorem hammingDist_triangle_left (x y z : ∀ i, β i) :
hammingDist x y ≤ hammingDist z x + hammingDist z y := by
rw [hammingDist_comm z]
exact hammingDist_triangle _ _ _
#align hamming_dist_triangle_left hammingDist_triangle_left
theorem hammingDist_triangle_right (x y z : ∀ i, β i) :
hammingDist x y ≤ hammingDist x z + hammingDist y z := by
rw [hammingDist_comm y]
exact hammingDist_triangle _ _ _
#align hamming_dist_triangle_right hammingDist_triangle_right
theorem swap_hammingDist : swap (@hammingDist _ β _ _) = hammingDist := by
funext x y
exact hammingDist_comm _ _
#align swap_hamming_dist swap_hammingDist
theorem eq_of_hammingDist_eq_zero {x y : ∀ i, β i} : hammingDist x y = 0 → x = y := by
simp_rw [hammingDist, card_eq_zero, filter_eq_empty_iff, Classical.not_not, funext_iff, mem_univ,
forall_true_left, imp_self]
#align eq_of_hamming_dist_eq_zero eq_of_hammingDist_eq_zero
@[simp]
theorem hammingDist_eq_zero {x y : ∀ i, β i} : hammingDist x y = 0 ↔ x = y :=
⟨eq_of_hammingDist_eq_zero, fun H => by
rw [H]
exact hammingDist_self _⟩
#align hamming_dist_eq_zero hammingDist_eq_zero
@[simp]
theorem hamming_zero_eq_dist {x y : ∀ i, β i} : 0 = hammingDist x y ↔ x = y := by
rw [eq_comm, hammingDist_eq_zero]
#align hamming_zero_eq_dist hamming_zero_eq_dist
theorem hammingDist_ne_zero {x y : ∀ i, β i} : hammingDist x y ≠ 0 ↔ x ≠ y :=
hammingDist_eq_zero.not
#align hamming_dist_ne_zero hammingDist_ne_zero
@[simp]
theorem hammingDist_pos {x y : ∀ i, β i} : 0 < hammingDist x y ↔ x ≠ y := by
rw [← hammingDist_ne_zero, iff_not_comm, not_lt, Nat.le_zero]
#align hamming_dist_pos hammingDist_pos
-- @[simp] -- Porting note (#10618): simp can prove this
| Mathlib/InformationTheory/Hamming.lean | 122 | 123 | theorem hammingDist_lt_one {x y : ∀ i, β i} : hammingDist x y < 1 ↔ x = y := by |
rw [Nat.lt_one_iff, hammingDist_eq_zero]
|
import Mathlib.Algebra.Group.Commute.Basic
import Mathlib.Data.Fintype.Card
import Mathlib.GroupTheory.Perm.Basic
#align_import group_theory.perm.support from "leanprover-community/mathlib"@"9003f28797c0664a49e4179487267c494477d853"
open Equiv Finset
namespace Equiv.Perm
variable {α : Type*}
section support
variable [DecidableEq α] [Fintype α] {f g : Perm α}
def support (f : Perm α) : Finset α :=
univ.filter fun x => f x ≠ x
#align equiv.perm.support Equiv.Perm.support
@[simp]
theorem mem_support {x : α} : x ∈ f.support ↔ f x ≠ x := by
rw [support, mem_filter, and_iff_right (mem_univ x)]
#align equiv.perm.mem_support Equiv.Perm.mem_support
theorem not_mem_support {x : α} : x ∉ f.support ↔ f x = x := by simp
#align equiv.perm.not_mem_support Equiv.Perm.not_mem_support
theorem coe_support_eq_set_support (f : Perm α) : (f.support : Set α) = { x | f x ≠ x } := by
ext
simp
#align equiv.perm.coe_support_eq_set_support Equiv.Perm.coe_support_eq_set_support
@[simp]
theorem support_eq_empty_iff {σ : Perm α} : σ.support = ∅ ↔ σ = 1 := by
simp_rw [Finset.ext_iff, mem_support, Finset.not_mem_empty, iff_false_iff, not_not,
Equiv.Perm.ext_iff, one_apply]
#align equiv.perm.support_eq_empty_iff Equiv.Perm.support_eq_empty_iff
@[simp]
| Mathlib/GroupTheory/Perm/Support.lean | 316 | 316 | theorem support_one : (1 : Perm α).support = ∅ := by | rw [support_eq_empty_iff]
|
import Mathlib.Combinatorics.SimpleGraph.Subgraph
import Mathlib.Data.List.Rotate
#align_import combinatorics.simple_graph.connectivity from "leanprover-community/mathlib"@"b99e2d58a5e6861833fa8de11e51a81144258db4"
open Function
universe u v w
namespace SimpleGraph
variable {V : Type u} {V' : Type v} {V'' : Type w}
variable (G : SimpleGraph V) (G' : SimpleGraph V') (G'' : SimpleGraph V'')
inductive Walk : V → V → Type u
| nil {u : V} : Walk u u
| cons {u v w : V} (h : G.Adj u v) (p : Walk v w) : Walk u w
deriving DecidableEq
#align simple_graph.walk SimpleGraph.Walk
attribute [refl] Walk.nil
@[simps]
instance Walk.instInhabited (v : V) : Inhabited (G.Walk v v) := ⟨Walk.nil⟩
#align simple_graph.walk.inhabited SimpleGraph.Walk.instInhabited
@[match_pattern, reducible]
def Adj.toWalk {G : SimpleGraph V} {u v : V} (h : G.Adj u v) : G.Walk u v :=
Walk.cons h Walk.nil
#align simple_graph.adj.to_walk SimpleGraph.Adj.toWalk
namespace Walk
variable {G}
@[match_pattern]
abbrev nil' (u : V) : G.Walk u u := Walk.nil
#align simple_graph.walk.nil' SimpleGraph.Walk.nil'
@[match_pattern]
abbrev cons' (u v w : V) (h : G.Adj u v) (p : G.Walk v w) : G.Walk u w := Walk.cons h p
#align simple_graph.walk.cons' SimpleGraph.Walk.cons'
protected def copy {u v u' v'} (p : G.Walk u v) (hu : u = u') (hv : v = v') : G.Walk u' v' :=
hu ▸ hv ▸ p
#align simple_graph.walk.copy SimpleGraph.Walk.copy
@[simp]
theorem copy_rfl_rfl {u v} (p : G.Walk u v) : p.copy rfl rfl = p := rfl
#align simple_graph.walk.copy_rfl_rfl SimpleGraph.Walk.copy_rfl_rfl
@[simp]
theorem copy_copy {u v u' v' u'' v''} (p : G.Walk u v)
(hu : u = u') (hv : v = v') (hu' : u' = u'') (hv' : v' = v'') :
(p.copy hu hv).copy hu' hv' = p.copy (hu.trans hu') (hv.trans hv') := by
subst_vars
rfl
#align simple_graph.walk.copy_copy SimpleGraph.Walk.copy_copy
@[simp]
theorem copy_nil {u u'} (hu : u = u') : (Walk.nil : G.Walk u u).copy hu hu = Walk.nil := by
subst_vars
rfl
#align simple_graph.walk.copy_nil SimpleGraph.Walk.copy_nil
theorem copy_cons {u v w u' w'} (h : G.Adj u v) (p : G.Walk v w) (hu : u = u') (hw : w = w') :
(Walk.cons h p).copy hu hw = Walk.cons (hu ▸ h) (p.copy rfl hw) := by
subst_vars
rfl
#align simple_graph.walk.copy_cons SimpleGraph.Walk.copy_cons
@[simp]
theorem cons_copy {u v w v' w'} (h : G.Adj u v) (p : G.Walk v' w') (hv : v' = v) (hw : w' = w) :
Walk.cons h (p.copy hv hw) = (Walk.cons (hv ▸ h) p).copy rfl hw := by
subst_vars
rfl
#align simple_graph.walk.cons_copy SimpleGraph.Walk.cons_copy
theorem exists_eq_cons_of_ne {u v : V} (hne : u ≠ v) :
∀ (p : G.Walk u v), ∃ (w : V) (h : G.Adj u w) (p' : G.Walk w v), p = cons h p'
| nil => (hne rfl).elim
| cons h p' => ⟨_, h, p', rfl⟩
#align simple_graph.walk.exists_eq_cons_of_ne SimpleGraph.Walk.exists_eq_cons_of_ne
def length {u v : V} : G.Walk u v → ℕ
| nil => 0
| cons _ q => q.length.succ
#align simple_graph.walk.length SimpleGraph.Walk.length
@[trans]
def append {u v w : V} : G.Walk u v → G.Walk v w → G.Walk u w
| nil, q => q
| cons h p, q => cons h (p.append q)
#align simple_graph.walk.append SimpleGraph.Walk.append
def concat {u v w : V} (p : G.Walk u v) (h : G.Adj v w) : G.Walk u w := p.append (cons h nil)
#align simple_graph.walk.concat SimpleGraph.Walk.concat
theorem concat_eq_append {u v w : V} (p : G.Walk u v) (h : G.Adj v w) :
p.concat h = p.append (cons h nil) := rfl
#align simple_graph.walk.concat_eq_append SimpleGraph.Walk.concat_eq_append
protected def reverseAux {u v w : V} : G.Walk u v → G.Walk u w → G.Walk v w
| nil, q => q
| cons h p, q => Walk.reverseAux p (cons (G.symm h) q)
#align simple_graph.walk.reverse_aux SimpleGraph.Walk.reverseAux
@[symm]
def reverse {u v : V} (w : G.Walk u v) : G.Walk v u := w.reverseAux nil
#align simple_graph.walk.reverse SimpleGraph.Walk.reverse
def getVert {u v : V} : G.Walk u v → ℕ → V
| nil, _ => u
| cons _ _, 0 => u
| cons _ q, n + 1 => q.getVert n
#align simple_graph.walk.get_vert SimpleGraph.Walk.getVert
@[simp]
theorem getVert_zero {u v} (w : G.Walk u v) : w.getVert 0 = u := by cases w <;> rfl
#align simple_graph.walk.get_vert_zero SimpleGraph.Walk.getVert_zero
theorem getVert_of_length_le {u v} (w : G.Walk u v) {i : ℕ} (hi : w.length ≤ i) :
w.getVert i = v := by
induction w generalizing i with
| nil => rfl
| cons _ _ ih =>
cases i
· cases hi
· exact ih (Nat.succ_le_succ_iff.1 hi)
#align simple_graph.walk.get_vert_of_length_le SimpleGraph.Walk.getVert_of_length_le
@[simp]
theorem getVert_length {u v} (w : G.Walk u v) : w.getVert w.length = v :=
w.getVert_of_length_le rfl.le
#align simple_graph.walk.get_vert_length SimpleGraph.Walk.getVert_length
theorem adj_getVert_succ {u v} (w : G.Walk u v) {i : ℕ} (hi : i < w.length) :
G.Adj (w.getVert i) (w.getVert (i + 1)) := by
induction w generalizing i with
| nil => cases hi
| cons hxy _ ih =>
cases i
· simp [getVert, hxy]
· exact ih (Nat.succ_lt_succ_iff.1 hi)
#align simple_graph.walk.adj_get_vert_succ SimpleGraph.Walk.adj_getVert_succ
@[simp]
theorem cons_append {u v w x : V} (h : G.Adj u v) (p : G.Walk v w) (q : G.Walk w x) :
(cons h p).append q = cons h (p.append q) := rfl
#align simple_graph.walk.cons_append SimpleGraph.Walk.cons_append
@[simp]
theorem cons_nil_append {u v w : V} (h : G.Adj u v) (p : G.Walk v w) :
(cons h nil).append p = cons h p := rfl
#align simple_graph.walk.cons_nil_append SimpleGraph.Walk.cons_nil_append
@[simp]
theorem append_nil {u v : V} (p : G.Walk u v) : p.append nil = p := by
induction p with
| nil => rfl
| cons _ _ ih => rw [cons_append, ih]
#align simple_graph.walk.append_nil SimpleGraph.Walk.append_nil
@[simp]
theorem nil_append {u v : V} (p : G.Walk u v) : nil.append p = p :=
rfl
#align simple_graph.walk.nil_append SimpleGraph.Walk.nil_append
theorem append_assoc {u v w x : V} (p : G.Walk u v) (q : G.Walk v w) (r : G.Walk w x) :
p.append (q.append r) = (p.append q).append r := by
induction p with
| nil => rfl
| cons h p' ih =>
dsimp only [append]
rw [ih]
#align simple_graph.walk.append_assoc SimpleGraph.Walk.append_assoc
@[simp]
theorem append_copy_copy {u v w u' v' w'} (p : G.Walk u v) (q : G.Walk v w)
(hu : u = u') (hv : v = v') (hw : w = w') :
(p.copy hu hv).append (q.copy hv hw) = (p.append q).copy hu hw := by
subst_vars
rfl
#align simple_graph.walk.append_copy_copy SimpleGraph.Walk.append_copy_copy
theorem concat_nil {u v : V} (h : G.Adj u v) : nil.concat h = cons h nil := rfl
#align simple_graph.walk.concat_nil SimpleGraph.Walk.concat_nil
@[simp]
theorem concat_cons {u v w x : V} (h : G.Adj u v) (p : G.Walk v w) (h' : G.Adj w x) :
(cons h p).concat h' = cons h (p.concat h') := rfl
#align simple_graph.walk.concat_cons SimpleGraph.Walk.concat_cons
theorem append_concat {u v w x : V} (p : G.Walk u v) (q : G.Walk v w) (h : G.Adj w x) :
p.append (q.concat h) = (p.append q).concat h := append_assoc _ _ _
#align simple_graph.walk.append_concat SimpleGraph.Walk.append_concat
theorem concat_append {u v w x : V} (p : G.Walk u v) (h : G.Adj v w) (q : G.Walk w x) :
(p.concat h).append q = p.append (cons h q) := by
rw [concat_eq_append, ← append_assoc, cons_nil_append]
#align simple_graph.walk.concat_append SimpleGraph.Walk.concat_append
theorem exists_cons_eq_concat {u v w : V} (h : G.Adj u v) (p : G.Walk v w) :
∃ (x : V) (q : G.Walk u x) (h' : G.Adj x w), cons h p = q.concat h' := by
induction p generalizing u with
| nil => exact ⟨_, nil, h, rfl⟩
| cons h' p ih =>
obtain ⟨y, q, h'', hc⟩ := ih h'
refine ⟨y, cons h q, h'', ?_⟩
rw [concat_cons, hc]
#align simple_graph.walk.exists_cons_eq_concat SimpleGraph.Walk.exists_cons_eq_concat
theorem exists_concat_eq_cons {u v w : V} :
∀ (p : G.Walk u v) (h : G.Adj v w),
∃ (x : V) (h' : G.Adj u x) (q : G.Walk x w), p.concat h = cons h' q
| nil, h => ⟨_, h, nil, rfl⟩
| cons h' p, h => ⟨_, h', Walk.concat p h, concat_cons _ _ _⟩
#align simple_graph.walk.exists_concat_eq_cons SimpleGraph.Walk.exists_concat_eq_cons
@[simp]
theorem reverse_nil {u : V} : (nil : G.Walk u u).reverse = nil := rfl
#align simple_graph.walk.reverse_nil SimpleGraph.Walk.reverse_nil
theorem reverse_singleton {u v : V} (h : G.Adj u v) : (cons h nil).reverse = cons (G.symm h) nil :=
rfl
#align simple_graph.walk.reverse_singleton SimpleGraph.Walk.reverse_singleton
@[simp]
theorem cons_reverseAux {u v w x : V} (p : G.Walk u v) (q : G.Walk w x) (h : G.Adj w u) :
(cons h p).reverseAux q = p.reverseAux (cons (G.symm h) q) := rfl
#align simple_graph.walk.cons_reverse_aux SimpleGraph.Walk.cons_reverseAux
@[simp]
protected theorem append_reverseAux {u v w x : V}
(p : G.Walk u v) (q : G.Walk v w) (r : G.Walk u x) :
(p.append q).reverseAux r = q.reverseAux (p.reverseAux r) := by
induction p with
| nil => rfl
| cons h _ ih => exact ih q (cons (G.symm h) r)
#align simple_graph.walk.append_reverse_aux SimpleGraph.Walk.append_reverseAux
@[simp]
protected theorem reverseAux_append {u v w x : V}
(p : G.Walk u v) (q : G.Walk u w) (r : G.Walk w x) :
(p.reverseAux q).append r = p.reverseAux (q.append r) := by
induction p with
| nil => rfl
| cons h _ ih => simp [ih (cons (G.symm h) q)]
#align simple_graph.walk.reverse_aux_append SimpleGraph.Walk.reverseAux_append
protected theorem reverseAux_eq_reverse_append {u v w : V} (p : G.Walk u v) (q : G.Walk u w) :
p.reverseAux q = p.reverse.append q := by simp [reverse]
#align simple_graph.walk.reverse_aux_eq_reverse_append SimpleGraph.Walk.reverseAux_eq_reverse_append
@[simp]
theorem reverse_cons {u v w : V} (h : G.Adj u v) (p : G.Walk v w) :
(cons h p).reverse = p.reverse.append (cons (G.symm h) nil) := by simp [reverse]
#align simple_graph.walk.reverse_cons SimpleGraph.Walk.reverse_cons
@[simp]
theorem reverse_copy {u v u' v'} (p : G.Walk u v) (hu : u = u') (hv : v = v') :
(p.copy hu hv).reverse = p.reverse.copy hv hu := by
subst_vars
rfl
#align simple_graph.walk.reverse_copy SimpleGraph.Walk.reverse_copy
@[simp]
theorem reverse_append {u v w : V} (p : G.Walk u v) (q : G.Walk v w) :
(p.append q).reverse = q.reverse.append p.reverse := by simp [reverse]
#align simple_graph.walk.reverse_append SimpleGraph.Walk.reverse_append
@[simp]
theorem reverse_concat {u v w : V} (p : G.Walk u v) (h : G.Adj v w) :
(p.concat h).reverse = cons (G.symm h) p.reverse := by simp [concat_eq_append]
#align simple_graph.walk.reverse_concat SimpleGraph.Walk.reverse_concat
@[simp]
theorem reverse_reverse {u v : V} (p : G.Walk u v) : p.reverse.reverse = p := by
induction p with
| nil => rfl
| cons _ _ ih => simp [ih]
#align simple_graph.walk.reverse_reverse SimpleGraph.Walk.reverse_reverse
@[simp]
theorem length_nil {u : V} : (nil : G.Walk u u).length = 0 := rfl
#align simple_graph.walk.length_nil SimpleGraph.Walk.length_nil
@[simp]
theorem length_cons {u v w : V} (h : G.Adj u v) (p : G.Walk v w) :
(cons h p).length = p.length + 1 := rfl
#align simple_graph.walk.length_cons SimpleGraph.Walk.length_cons
@[simp]
theorem length_copy {u v u' v'} (p : G.Walk u v) (hu : u = u') (hv : v = v') :
(p.copy hu hv).length = p.length := by
subst_vars
rfl
#align simple_graph.walk.length_copy SimpleGraph.Walk.length_copy
@[simp]
theorem length_append {u v w : V} (p : G.Walk u v) (q : G.Walk v w) :
(p.append q).length = p.length + q.length := by
induction p with
| nil => simp
| cons _ _ ih => simp [ih, add_comm, add_left_comm, add_assoc]
#align simple_graph.walk.length_append SimpleGraph.Walk.length_append
@[simp]
theorem length_concat {u v w : V} (p : G.Walk u v) (h : G.Adj v w) :
(p.concat h).length = p.length + 1 := length_append _ _
#align simple_graph.walk.length_concat SimpleGraph.Walk.length_concat
@[simp]
protected theorem length_reverseAux {u v w : V} (p : G.Walk u v) (q : G.Walk u w) :
(p.reverseAux q).length = p.length + q.length := by
induction p with
| nil => simp!
| cons _ _ ih => simp [ih, Nat.succ_add, Nat.add_assoc]
#align simple_graph.walk.length_reverse_aux SimpleGraph.Walk.length_reverseAux
@[simp]
theorem length_reverse {u v : V} (p : G.Walk u v) : p.reverse.length = p.length := by simp [reverse]
#align simple_graph.walk.length_reverse SimpleGraph.Walk.length_reverse
theorem eq_of_length_eq_zero {u v : V} : ∀ {p : G.Walk u v}, p.length = 0 → u = v
| nil, _ => rfl
#align simple_graph.walk.eq_of_length_eq_zero SimpleGraph.Walk.eq_of_length_eq_zero
theorem adj_of_length_eq_one {u v : V} : ∀ {p : G.Walk u v}, p.length = 1 → G.Adj u v
| cons h nil, _ => h
@[simp]
theorem exists_length_eq_zero_iff {u v : V} : (∃ p : G.Walk u v, p.length = 0) ↔ u = v := by
constructor
· rintro ⟨p, hp⟩
exact eq_of_length_eq_zero hp
· rintro rfl
exact ⟨nil, rfl⟩
#align simple_graph.walk.exists_length_eq_zero_iff SimpleGraph.Walk.exists_length_eq_zero_iff
@[simp]
theorem length_eq_zero_iff {u : V} {p : G.Walk u u} : p.length = 0 ↔ p = nil := by cases p <;> simp
#align simple_graph.walk.length_eq_zero_iff SimpleGraph.Walk.length_eq_zero_iff
theorem getVert_append {u v w : V} (p : G.Walk u v) (q : G.Walk v w) (i : ℕ) :
(p.append q).getVert i = if i < p.length then p.getVert i else q.getVert (i - p.length) := by
induction p generalizing i with
| nil => simp
| cons h p ih => cases i <;> simp [getVert, ih, Nat.succ_lt_succ_iff]
theorem getVert_reverse {u v : V} (p : G.Walk u v) (i : ℕ) :
p.reverse.getVert i = p.getVert (p.length - i) := by
induction p with
| nil => rfl
| cons h p ih =>
simp only [reverse_cons, getVert_append, length_reverse, ih, length_cons]
split_ifs
next hi =>
rw [Nat.succ_sub hi.le]
simp [getVert]
next hi =>
obtain rfl | hi' := Nat.eq_or_lt_of_not_lt hi
· simp [getVert]
· rw [Nat.eq_add_of_sub_eq (Nat.sub_pos_of_lt hi') rfl, Nat.sub_eq_zero_of_le hi']
simp [getVert]
theorem concat_ne_nil {u v : V} (p : G.Walk u v) (h : G.Adj v u) : p.concat h ≠ nil := by
cases p <;> simp [concat]
#align simple_graph.walk.concat_ne_nil SimpleGraph.Walk.concat_ne_nil
theorem concat_inj {u v v' w : V} {p : G.Walk u v} {h : G.Adj v w} {p' : G.Walk u v'}
{h' : G.Adj v' w} (he : p.concat h = p'.concat h') : ∃ hv : v = v', p.copy rfl hv = p' := by
induction p with
| nil =>
cases p'
· exact ⟨rfl, rfl⟩
· exfalso
simp only [concat_nil, concat_cons, cons.injEq] at he
obtain ⟨rfl, he⟩ := he
simp only [heq_iff_eq] at he
exact concat_ne_nil _ _ he.symm
| cons _ _ ih =>
rw [concat_cons] at he
cases p'
· exfalso
simp only [concat_nil, cons.injEq] at he
obtain ⟨rfl, he⟩ := he
rw [heq_iff_eq] at he
exact concat_ne_nil _ _ he
· rw [concat_cons, cons.injEq] at he
obtain ⟨rfl, he⟩ := he
rw [heq_iff_eq] at he
obtain ⟨rfl, rfl⟩ := ih he
exact ⟨rfl, rfl⟩
#align simple_graph.walk.concat_inj SimpleGraph.Walk.concat_inj
def support {u v : V} : G.Walk u v → List V
| nil => [u]
| cons _ p => u :: p.support
#align simple_graph.walk.support SimpleGraph.Walk.support
def darts {u v : V} : G.Walk u v → List G.Dart
| nil => []
| cons h p => ⟨(u, _), h⟩ :: p.darts
#align simple_graph.walk.darts SimpleGraph.Walk.darts
def edges {u v : V} (p : G.Walk u v) : List (Sym2 V) := p.darts.map Dart.edge
#align simple_graph.walk.edges SimpleGraph.Walk.edges
@[simp]
theorem support_nil {u : V} : (nil : G.Walk u u).support = [u] := rfl
#align simple_graph.walk.support_nil SimpleGraph.Walk.support_nil
@[simp]
theorem support_cons {u v w : V} (h : G.Adj u v) (p : G.Walk v w) :
(cons h p).support = u :: p.support := rfl
#align simple_graph.walk.support_cons SimpleGraph.Walk.support_cons
@[simp]
theorem support_concat {u v w : V} (p : G.Walk u v) (h : G.Adj v w) :
(p.concat h).support = p.support.concat w := by
induction p <;> simp [*, concat_nil]
#align simple_graph.walk.support_concat SimpleGraph.Walk.support_concat
@[simp]
theorem support_copy {u v u' v'} (p : G.Walk u v) (hu : u = u') (hv : v = v') :
(p.copy hu hv).support = p.support := by
subst_vars
rfl
#align simple_graph.walk.support_copy SimpleGraph.Walk.support_copy
theorem support_append {u v w : V} (p : G.Walk u v) (p' : G.Walk v w) :
(p.append p').support = p.support ++ p'.support.tail := by
induction p <;> cases p' <;> simp [*]
#align simple_graph.walk.support_append SimpleGraph.Walk.support_append
@[simp]
theorem support_reverse {u v : V} (p : G.Walk u v) : p.reverse.support = p.support.reverse := by
induction p <;> simp [support_append, *]
#align simple_graph.walk.support_reverse SimpleGraph.Walk.support_reverse
@[simp]
theorem support_ne_nil {u v : V} (p : G.Walk u v) : p.support ≠ [] := by cases p <;> simp
#align simple_graph.walk.support_ne_nil SimpleGraph.Walk.support_ne_nil
theorem tail_support_append {u v w : V} (p : G.Walk u v) (p' : G.Walk v w) :
(p.append p').support.tail = p.support.tail ++ p'.support.tail := by
rw [support_append, List.tail_append_of_ne_nil _ _ (support_ne_nil _)]
#align simple_graph.walk.tail_support_append SimpleGraph.Walk.tail_support_append
theorem support_eq_cons {u v : V} (p : G.Walk u v) : p.support = u :: p.support.tail := by
cases p <;> simp
#align simple_graph.walk.support_eq_cons SimpleGraph.Walk.support_eq_cons
@[simp]
theorem start_mem_support {u v : V} (p : G.Walk u v) : u ∈ p.support := by cases p <;> simp
#align simple_graph.walk.start_mem_support SimpleGraph.Walk.start_mem_support
@[simp]
theorem end_mem_support {u v : V} (p : G.Walk u v) : v ∈ p.support := by induction p <;> simp [*]
#align simple_graph.walk.end_mem_support SimpleGraph.Walk.end_mem_support
@[simp]
theorem support_nonempty {u v : V} (p : G.Walk u v) : { w | w ∈ p.support }.Nonempty :=
⟨u, by simp⟩
#align simple_graph.walk.support_nonempty SimpleGraph.Walk.support_nonempty
theorem mem_support_iff {u v w : V} (p : G.Walk u v) :
w ∈ p.support ↔ w = u ∨ w ∈ p.support.tail := by cases p <;> simp
#align simple_graph.walk.mem_support_iff SimpleGraph.Walk.mem_support_iff
theorem mem_support_nil_iff {u v : V} : u ∈ (nil : G.Walk v v).support ↔ u = v := by simp
#align simple_graph.walk.mem_support_nil_iff SimpleGraph.Walk.mem_support_nil_iff
@[simp]
theorem mem_tail_support_append_iff {t u v w : V} (p : G.Walk u v) (p' : G.Walk v w) :
t ∈ (p.append p').support.tail ↔ t ∈ p.support.tail ∨ t ∈ p'.support.tail := by
rw [tail_support_append, List.mem_append]
#align simple_graph.walk.mem_tail_support_append_iff SimpleGraph.Walk.mem_tail_support_append_iff
@[simp]
theorem end_mem_tail_support_of_ne {u v : V} (h : u ≠ v) (p : G.Walk u v) : v ∈ p.support.tail := by
obtain ⟨_, _, _, rfl⟩ := exists_eq_cons_of_ne h p
simp
#align simple_graph.walk.end_mem_tail_support_of_ne SimpleGraph.Walk.end_mem_tail_support_of_ne
@[simp, nolint unusedHavesSuffices]
theorem mem_support_append_iff {t u v w : V} (p : G.Walk u v) (p' : G.Walk v w) :
t ∈ (p.append p').support ↔ t ∈ p.support ∨ t ∈ p'.support := by
simp only [mem_support_iff, mem_tail_support_append_iff]
obtain rfl | h := eq_or_ne t v <;> obtain rfl | h' := eq_or_ne t u <;>
-- this `have` triggers the unusedHavesSuffices linter:
(try have := h'.symm) <;> simp [*]
#align simple_graph.walk.mem_support_append_iff SimpleGraph.Walk.mem_support_append_iff
@[simp]
theorem subset_support_append_left {V : Type u} {G : SimpleGraph V} {u v w : V}
(p : G.Walk u v) (q : G.Walk v w) : p.support ⊆ (p.append q).support := by
simp only [Walk.support_append, List.subset_append_left]
#align simple_graph.walk.subset_support_append_left SimpleGraph.Walk.subset_support_append_left
@[simp]
theorem subset_support_append_right {V : Type u} {G : SimpleGraph V} {u v w : V}
(p : G.Walk u v) (q : G.Walk v w) : q.support ⊆ (p.append q).support := by
intro h
simp (config := { contextual := true }) only [mem_support_append_iff, or_true_iff, imp_true_iff]
#align simple_graph.walk.subset_support_append_right SimpleGraph.Walk.subset_support_append_right
theorem coe_support {u v : V} (p : G.Walk u v) :
(p.support : Multiset V) = {u} + p.support.tail := by cases p <;> rfl
#align simple_graph.walk.coe_support SimpleGraph.Walk.coe_support
theorem coe_support_append {u v w : V} (p : G.Walk u v) (p' : G.Walk v w) :
((p.append p').support : Multiset V) = {u} + p.support.tail + p'.support.tail := by
rw [support_append, ← Multiset.coe_add, coe_support]
#align simple_graph.walk.coe_support_append SimpleGraph.Walk.coe_support_append
theorem coe_support_append' [DecidableEq V] {u v w : V} (p : G.Walk u v) (p' : G.Walk v w) :
((p.append p').support : Multiset V) = p.support + p'.support - {v} := by
rw [support_append, ← Multiset.coe_add]
simp only [coe_support]
rw [add_comm ({v} : Multiset V)]
simp only [← add_assoc, add_tsub_cancel_right]
#align simple_graph.walk.coe_support_append' SimpleGraph.Walk.coe_support_append'
theorem chain_adj_support {u v w : V} (h : G.Adj u v) :
∀ (p : G.Walk v w), List.Chain G.Adj u p.support
| nil => List.Chain.cons h List.Chain.nil
| cons h' p => List.Chain.cons h (chain_adj_support h' p)
#align simple_graph.walk.chain_adj_support SimpleGraph.Walk.chain_adj_support
theorem chain'_adj_support {u v : V} : ∀ (p : G.Walk u v), List.Chain' G.Adj p.support
| nil => List.Chain.nil
| cons h p => chain_adj_support h p
#align simple_graph.walk.chain'_adj_support SimpleGraph.Walk.chain'_adj_support
theorem chain_dartAdj_darts {d : G.Dart} {v w : V} (h : d.snd = v) (p : G.Walk v w) :
List.Chain G.DartAdj d p.darts := by
induction p generalizing d with
| nil => exact List.Chain.nil
-- Porting note: needed to defer `h` and `rfl` to help elaboration
| cons h' p ih => exact List.Chain.cons (by exact h) (ih (by rfl))
#align simple_graph.walk.chain_dart_adj_darts SimpleGraph.Walk.chain_dartAdj_darts
theorem chain'_dartAdj_darts {u v : V} : ∀ (p : G.Walk u v), List.Chain' G.DartAdj p.darts
| nil => trivial
-- Porting note: needed to defer `rfl` to help elaboration
| cons h p => chain_dartAdj_darts (by rfl) p
#align simple_graph.walk.chain'_dart_adj_darts SimpleGraph.Walk.chain'_dartAdj_darts
theorem edges_subset_edgeSet {u v : V} :
∀ (p : G.Walk u v) ⦃e : Sym2 V⦄, e ∈ p.edges → e ∈ G.edgeSet
| cons h' p', e, h => by
cases h
· exact h'
next h' => exact edges_subset_edgeSet p' h'
#align simple_graph.walk.edges_subset_edge_set SimpleGraph.Walk.edges_subset_edgeSet
theorem adj_of_mem_edges {u v x y : V} (p : G.Walk u v) (h : s(x, y) ∈ p.edges) : G.Adj x y :=
edges_subset_edgeSet p h
#align simple_graph.walk.adj_of_mem_edges SimpleGraph.Walk.adj_of_mem_edges
@[simp]
theorem darts_nil {u : V} : (nil : G.Walk u u).darts = [] := rfl
#align simple_graph.walk.darts_nil SimpleGraph.Walk.darts_nil
@[simp]
theorem darts_cons {u v w : V} (h : G.Adj u v) (p : G.Walk v w) :
(cons h p).darts = ⟨(u, v), h⟩ :: p.darts := rfl
#align simple_graph.walk.darts_cons SimpleGraph.Walk.darts_cons
@[simp]
theorem darts_concat {u v w : V} (p : G.Walk u v) (h : G.Adj v w) :
(p.concat h).darts = p.darts.concat ⟨(v, w), h⟩ := by
induction p <;> simp [*, concat_nil]
#align simple_graph.walk.darts_concat SimpleGraph.Walk.darts_concat
@[simp]
theorem darts_copy {u v u' v'} (p : G.Walk u v) (hu : u = u') (hv : v = v') :
(p.copy hu hv).darts = p.darts := by
subst_vars
rfl
#align simple_graph.walk.darts_copy SimpleGraph.Walk.darts_copy
@[simp]
theorem darts_append {u v w : V} (p : G.Walk u v) (p' : G.Walk v w) :
(p.append p').darts = p.darts ++ p'.darts := by
induction p <;> simp [*]
#align simple_graph.walk.darts_append SimpleGraph.Walk.darts_append
@[simp]
theorem darts_reverse {u v : V} (p : G.Walk u v) :
p.reverse.darts = (p.darts.map Dart.symm).reverse := by
induction p <;> simp [*, Sym2.eq_swap]
#align simple_graph.walk.darts_reverse SimpleGraph.Walk.darts_reverse
theorem mem_darts_reverse {u v : V} {d : G.Dart} {p : G.Walk u v} :
d ∈ p.reverse.darts ↔ d.symm ∈ p.darts := by simp
#align simple_graph.walk.mem_darts_reverse SimpleGraph.Walk.mem_darts_reverse
theorem cons_map_snd_darts {u v : V} (p : G.Walk u v) : (u :: p.darts.map (·.snd)) = p.support := by
induction p <;> simp! [*]
#align simple_graph.walk.cons_map_snd_darts SimpleGraph.Walk.cons_map_snd_darts
theorem map_snd_darts {u v : V} (p : G.Walk u v) : p.darts.map (·.snd) = p.support.tail := by
simpa using congr_arg List.tail (cons_map_snd_darts p)
#align simple_graph.walk.map_snd_darts SimpleGraph.Walk.map_snd_darts
theorem map_fst_darts_append {u v : V} (p : G.Walk u v) :
p.darts.map (·.fst) ++ [v] = p.support := by
induction p <;> simp! [*]
#align simple_graph.walk.map_fst_darts_append SimpleGraph.Walk.map_fst_darts_append
theorem map_fst_darts {u v : V} (p : G.Walk u v) : p.darts.map (·.fst) = p.support.dropLast := by
simpa! using congr_arg List.dropLast (map_fst_darts_append p)
#align simple_graph.walk.map_fst_darts SimpleGraph.Walk.map_fst_darts
@[simp]
theorem edges_nil {u : V} : (nil : G.Walk u u).edges = [] := rfl
#align simple_graph.walk.edges_nil SimpleGraph.Walk.edges_nil
@[simp]
theorem edges_cons {u v w : V} (h : G.Adj u v) (p : G.Walk v w) :
(cons h p).edges = s(u, v) :: p.edges := rfl
#align simple_graph.walk.edges_cons SimpleGraph.Walk.edges_cons
@[simp]
theorem edges_concat {u v w : V} (p : G.Walk u v) (h : G.Adj v w) :
(p.concat h).edges = p.edges.concat s(v, w) := by simp [edges]
#align simple_graph.walk.edges_concat SimpleGraph.Walk.edges_concat
@[simp]
theorem edges_copy {u v u' v'} (p : G.Walk u v) (hu : u = u') (hv : v = v') :
(p.copy hu hv).edges = p.edges := by
subst_vars
rfl
#align simple_graph.walk.edges_copy SimpleGraph.Walk.edges_copy
@[simp]
theorem edges_append {u v w : V} (p : G.Walk u v) (p' : G.Walk v w) :
(p.append p').edges = p.edges ++ p'.edges := by simp [edges]
#align simple_graph.walk.edges_append SimpleGraph.Walk.edges_append
@[simp]
theorem edges_reverse {u v : V} (p : G.Walk u v) : p.reverse.edges = p.edges.reverse := by
simp [edges, List.map_reverse]
#align simple_graph.walk.edges_reverse SimpleGraph.Walk.edges_reverse
@[simp]
theorem length_support {u v : V} (p : G.Walk u v) : p.support.length = p.length + 1 := by
induction p <;> simp [*]
#align simple_graph.walk.length_support SimpleGraph.Walk.length_support
@[simp]
| Mathlib/Combinatorics/SimpleGraph/Connectivity.lean | 793 | 794 | theorem length_darts {u v : V} (p : G.Walk u v) : p.darts.length = p.length := by |
induction p <;> simp [*]
|
import Mathlib.Combinatorics.Hall.Finite
import Mathlib.CategoryTheory.CofilteredSystem
import Mathlib.Data.Rel
#align_import combinatorics.hall.basic from "leanprover-community/mathlib"@"8195826f5c428fc283510bc67303dd4472d78498"
open Finset CategoryTheory
universe u v
def hallMatchingsOn {ι : Type u} {α : Type v} (t : ι → Finset α) (ι' : Finset ι) :=
{ f : ι' → α | Function.Injective f ∧ ∀ x, f x ∈ t x }
#align hall_matchings_on hallMatchingsOn
def hallMatchingsOn.restrict {ι : Type u} {α : Type v} (t : ι → Finset α) {ι' ι'' : Finset ι}
(h : ι' ⊆ ι'') (f : hallMatchingsOn t ι'') : hallMatchingsOn t ι' := by
refine ⟨fun i => f.val ⟨i, h i.property⟩, ?_⟩
cases' f.property with hinj hc
refine ⟨?_, fun i => hc ⟨i, h i.property⟩⟩
rintro ⟨i, hi⟩ ⟨j, hj⟩ hh
simpa only [Subtype.mk_eq_mk] using hinj hh
#align hall_matchings_on.restrict hallMatchingsOn.restrict
theorem hallMatchingsOn.nonempty {ι : Type u} {α : Type v} [DecidableEq α] (t : ι → Finset α)
(h : ∀ s : Finset ι, s.card ≤ (s.biUnion t).card) (ι' : Finset ι) :
Nonempty (hallMatchingsOn t ι') := by
classical
refine ⟨Classical.indefiniteDescription _ ?_⟩
apply (all_card_le_biUnion_card_iff_existsInjective' fun i : ι' => t i).mp
intro s'
convert h (s'.image (↑)) using 1
· simp only [card_image_of_injective s' Subtype.coe_injective]
· rw [image_biUnion]
#align hall_matchings_on.nonempty hallMatchingsOn.nonempty
def hallMatchingsFunctor {ι : Type u} {α : Type v} (t : ι → Finset α) :
(Finset ι)ᵒᵖ ⥤ Type max u v where
obj ι' := hallMatchingsOn t ι'.unop
map {ι' ι''} g f := hallMatchingsOn.restrict t (CategoryTheory.leOfHom g.unop) f
#align hall_matchings_functor hallMatchingsFunctor
instance hallMatchingsOn.finite {ι : Type u} {α : Type v} (t : ι → Finset α) (ι' : Finset ι) :
Finite (hallMatchingsOn t ι') := by
classical
rw [hallMatchingsOn]
let g : hallMatchingsOn t ι' → ι' → ι'.biUnion t := by
rintro f i
refine ⟨f.val i, ?_⟩
rw [mem_biUnion]
exact ⟨i, i.property, f.property.2 i⟩
apply Finite.of_injective g
intro f f' h
ext a
rw [Function.funext_iff] at h
simpa [g] using h a
#align hall_matchings_on.finite hallMatchingsOn.finite
| Mathlib/Combinatorics/Hall/Basic.lean | 123 | 163 | theorem Finset.all_card_le_biUnion_card_iff_exists_injective {ι : Type u} {α : Type v}
[DecidableEq α] (t : ι → Finset α) :
(∀ s : Finset ι, s.card ≤ (s.biUnion t).card) ↔
∃ f : ι → α, Function.Injective f ∧ ∀ x, f x ∈ t x := by |
constructor
· intro h
-- Set up the functor
haveI : ∀ ι' : (Finset ι)ᵒᵖ, Nonempty ((hallMatchingsFunctor t).obj ι') := fun ι' =>
hallMatchingsOn.nonempty t h ι'.unop
classical
haveI : ∀ ι' : (Finset ι)ᵒᵖ, Finite ((hallMatchingsFunctor t).obj ι') := by
intro ι'
rw [hallMatchingsFunctor]
infer_instance
-- Apply the compactness argument
obtain ⟨u, hu⟩ := nonempty_sections_of_finite_inverse_system (hallMatchingsFunctor t)
-- Interpret the resulting section of the inverse limit
refine ⟨?_, ?_, ?_⟩
·-- Build the matching function from the section
exact fun i =>
(u (Opposite.op ({i} : Finset ι))).val ⟨i, by simp only [Opposite.unop_op, mem_singleton]⟩
· -- Show that it is injective
intro i i'
have subi : ({i} : Finset ι) ⊆ {i, i'} := by simp
have subi' : ({i'} : Finset ι) ⊆ {i, i'} := by simp
rw [← Finset.le_iff_subset] at subi subi'
simp only
rw [← hu (CategoryTheory.homOfLE subi).op, ← hu (CategoryTheory.homOfLE subi').op]
let uii' := u (Opposite.op ({i, i'} : Finset ι))
exact fun h => Subtype.mk_eq_mk.mp (uii'.property.1 h)
· -- Show that it maps each index to the corresponding finite set
intro i
apply (u (Opposite.op ({i} : Finset ι))).property.2
· -- The reverse direction is a straightforward cardinality argument
rintro ⟨f, hf₁, hf₂⟩ s
rw [← Finset.card_image_of_injective s hf₁]
apply Finset.card_le_card
intro
rw [Finset.mem_image, Finset.mem_biUnion]
rintro ⟨x, hx, rfl⟩
exact ⟨x, hx, hf₂ x⟩
|
import Mathlib.Algebra.Polynomial.AlgebraMap
import Mathlib.FieldTheory.Minpoly.IsIntegrallyClosed
import Mathlib.RingTheory.PowerBasis
#align_import ring_theory.is_adjoin_root from "leanprover-community/mathlib"@"f7fc89d5d5ff1db2d1242c7bb0e9062ce47ef47c"
open scoped Polynomial
open Polynomial
noncomputable section
universe u v
-- Porting note: this looks like something that should not be here
-- -- This class doesn't really make sense on a predicate
-- Porting note(#5171): this linter isn't ported yet.
-- @[nolint has_nonempty_instance]
structure IsAdjoinRoot {R : Type u} (S : Type v) [CommSemiring R] [Semiring S] [Algebra R S]
(f : R[X]) : Type max u v where
map : R[X] →+* S
map_surjective : Function.Surjective map
ker_map : RingHom.ker map = Ideal.span {f}
algebraMap_eq : algebraMap R S = map.comp Polynomial.C
#align is_adjoin_root IsAdjoinRoot
-- This class doesn't really make sense on a predicate
-- @[nolint has_nonempty_instance] -- Porting note: This linter does not exist yet.
structure IsAdjoinRootMonic {R : Type u} (S : Type v) [CommSemiring R] [Semiring S] [Algebra R S]
(f : R[X]) extends IsAdjoinRoot S f where
Monic : Monic f
#align is_adjoin_root_monic IsAdjoinRootMonic
section Ring
variable {R : Type u} {S : Type v} [CommRing R] [Ring S] {f : R[X]} [Algebra R S]
namespace IsAdjoinRoot
def root (h : IsAdjoinRoot S f) : S :=
h.map X
#align is_adjoin_root.root IsAdjoinRoot.root
theorem subsingleton (h : IsAdjoinRoot S f) [Subsingleton R] : Subsingleton S :=
h.map_surjective.subsingleton
#align is_adjoin_root.subsingleton IsAdjoinRoot.subsingleton
theorem algebraMap_apply (h : IsAdjoinRoot S f) (x : R) :
algebraMap R S x = h.map (Polynomial.C x) := by rw [h.algebraMap_eq, RingHom.comp_apply]
#align is_adjoin_root.algebra_map_apply IsAdjoinRoot.algebraMap_apply
@[simp]
theorem mem_ker_map (h : IsAdjoinRoot S f) {p} : p ∈ RingHom.ker h.map ↔ f ∣ p := by
rw [h.ker_map, Ideal.mem_span_singleton]
#align is_adjoin_root.mem_ker_map IsAdjoinRoot.mem_ker_map
theorem map_eq_zero_iff (h : IsAdjoinRoot S f) {p} : h.map p = 0 ↔ f ∣ p := by
rw [← h.mem_ker_map, RingHom.mem_ker]
#align is_adjoin_root.map_eq_zero_iff IsAdjoinRoot.map_eq_zero_iff
@[simp]
theorem map_X (h : IsAdjoinRoot S f) : h.map X = h.root := rfl
set_option linter.uppercaseLean3 false in
#align is_adjoin_root.map_X IsAdjoinRoot.map_X
@[simp]
theorem map_self (h : IsAdjoinRoot S f) : h.map f = 0 := h.map_eq_zero_iff.mpr dvd_rfl
#align is_adjoin_root.map_self IsAdjoinRoot.map_self
@[simp]
theorem aeval_eq (h : IsAdjoinRoot S f) (p : R[X]) : aeval h.root p = h.map p :=
Polynomial.induction_on p (fun x => by rw [aeval_C, h.algebraMap_apply])
(fun p q ihp ihq => by rw [AlgHom.map_add, RingHom.map_add, ihp, ihq]) fun n x _ => by
rw [AlgHom.map_mul, aeval_C, AlgHom.map_pow, aeval_X, RingHom.map_mul, ← h.algebraMap_apply,
RingHom.map_pow, map_X]
#align is_adjoin_root.aeval_eq IsAdjoinRoot.aeval_eq
-- @[simp] -- Porting note (#10618): simp can prove this
theorem aeval_root (h : IsAdjoinRoot S f) : aeval h.root f = 0 := by rw [aeval_eq, map_self]
#align is_adjoin_root.aeval_root IsAdjoinRoot.aeval_root
def repr (h : IsAdjoinRoot S f) (x : S) : R[X] :=
(h.map_surjective x).choose
#align is_adjoin_root.repr IsAdjoinRoot.repr
theorem map_repr (h : IsAdjoinRoot S f) (x : S) : h.map (h.repr x) = x :=
(h.map_surjective x).choose_spec
#align is_adjoin_root.map_repr IsAdjoinRoot.map_repr
theorem repr_zero_mem_span (h : IsAdjoinRoot S f) : h.repr 0 ∈ Ideal.span ({f} : Set R[X]) := by
rw [← h.ker_map, RingHom.mem_ker, h.map_repr]
#align is_adjoin_root.repr_zero_mem_span IsAdjoinRoot.repr_zero_mem_span
theorem repr_add_sub_repr_add_repr_mem_span (h : IsAdjoinRoot S f) (x y : S) :
h.repr (x + y) - (h.repr x + h.repr y) ∈ Ideal.span ({f} : Set R[X]) := by
rw [← h.ker_map, RingHom.mem_ker, map_sub, h.map_repr, map_add, h.map_repr, h.map_repr, sub_self]
#align is_adjoin_root.repr_add_sub_repr_add_repr_mem_span IsAdjoinRoot.repr_add_sub_repr_add_repr_mem_span
theorem ext_map (h h' : IsAdjoinRoot S f) (eq : ∀ x, h.map x = h'.map x) : h = h' := by
cases h; cases h'; congr
exact RingHom.ext eq
#align is_adjoin_root.ext_map IsAdjoinRoot.ext_map
@[ext]
theorem ext (h h' : IsAdjoinRoot S f) (eq : h.root = h'.root) : h = h' :=
h.ext_map h' fun x => by rw [← h.aeval_eq, ← h'.aeval_eq, eq]
#align is_adjoin_root.ext IsAdjoinRoot.ext
section lift
variable {T : Type*} [CommRing T] {i : R →+* T} {x : T} (hx : f.eval₂ i x = 0)
theorem eval₂_repr_eq_eval₂_of_map_eq (h : IsAdjoinRoot S f) (z : S) (w : R[X])
(hzw : h.map w = z) : (h.repr z).eval₂ i x = w.eval₂ i x := by
rw [eq_comm, ← sub_eq_zero, ← h.map_repr z, ← map_sub, h.map_eq_zero_iff] at hzw
obtain ⟨y, hy⟩ := hzw
rw [← sub_eq_zero, ← eval₂_sub, hy, eval₂_mul, hx, zero_mul]
#align is_adjoin_root.eval₂_repr_eq_eval₂_of_map_eq IsAdjoinRoot.eval₂_repr_eq_eval₂_of_map_eq
variable (i x)
-- To match `AdjoinRoot.lift`
def lift (h : IsAdjoinRoot S f) : S →+* T where
toFun z := (h.repr z).eval₂ i x
map_zero' := by
dsimp only -- Porting note (#10752): added `dsimp only`
rw [h.eval₂_repr_eq_eval₂_of_map_eq hx _ _ (map_zero _), eval₂_zero]
map_add' z w := by
dsimp only -- Porting note (#10752): added `dsimp only`
rw [h.eval₂_repr_eq_eval₂_of_map_eq hx _ (h.repr z + h.repr w), eval₂_add]
rw [map_add, map_repr, map_repr]
map_one' := by
beta_reduce -- Porting note (#12129): additional beta reduction needed
rw [h.eval₂_repr_eq_eval₂_of_map_eq hx _ _ (map_one _), eval₂_one]
map_mul' z w := by
dsimp only -- Porting note (#10752): added `dsimp only`
rw [h.eval₂_repr_eq_eval₂_of_map_eq hx _ (h.repr z * h.repr w), eval₂_mul]
rw [map_mul, map_repr, map_repr]
#align is_adjoin_root.lift IsAdjoinRoot.lift
variable {i x}
@[simp]
theorem lift_map (h : IsAdjoinRoot S f) (z : R[X]) : h.lift i x hx (h.map z) = z.eval₂ i x := by
rw [lift, RingHom.coe_mk]
dsimp -- Porting note (#11227):added a `dsimp`
rw [h.eval₂_repr_eq_eval₂_of_map_eq hx _ _ rfl]
#align is_adjoin_root.lift_map IsAdjoinRoot.lift_map
@[simp]
theorem lift_root (h : IsAdjoinRoot S f) : h.lift i x hx h.root = x := by
rw [← h.map_X, lift_map, eval₂_X]
#align is_adjoin_root.lift_root IsAdjoinRoot.lift_root
@[simp]
theorem lift_algebraMap (h : IsAdjoinRoot S f) (a : R) :
h.lift i x hx (algebraMap R S a) = i a := by rw [h.algebraMap_apply, lift_map, eval₂_C]
#align is_adjoin_root.lift_algebra_map IsAdjoinRoot.lift_algebraMap
| Mathlib/RingTheory/IsAdjoinRoot.lean | 253 | 257 | theorem apply_eq_lift (h : IsAdjoinRoot S f) (g : S →+* T) (hmap : ∀ a, g (algebraMap R S a) = i a)
(hroot : g h.root = x) (a : S) : g a = h.lift i x hx a := by |
rw [← h.map_repr a, Polynomial.as_sum_range_C_mul_X_pow (h.repr a)]
simp only [map_sum, map_mul, map_pow, h.map_X, hroot, ← h.algebraMap_apply, hmap, lift_root,
lift_algebraMap]
|
import Mathlib.Dynamics.Ergodic.MeasurePreserving
import Mathlib.LinearAlgebra.Determinant
import Mathlib.LinearAlgebra.Matrix.Diagonal
import Mathlib.LinearAlgebra.Matrix.Transvection
import Mathlib.MeasureTheory.Group.LIntegral
import Mathlib.MeasureTheory.Integral.Marginal
import Mathlib.MeasureTheory.Measure.Stieltjes
import Mathlib.MeasureTheory.Measure.Haar.OfBasis
#align_import measure_theory.measure.lebesgue.basic from "leanprover-community/mathlib"@"fd5edc43dc4f10b85abfe544b88f82cf13c5f844"
assert_not_exists MeasureTheory.integral
noncomputable section
open scoped Classical
open Set Filter MeasureTheory MeasureTheory.Measure TopologicalSpace
open ENNReal (ofReal)
open scoped ENNReal NNReal Topology
namespace Real
variable {ι : Type*} [Fintype ι]
theorem volume_eq_stieltjes_id : (volume : Measure ℝ) = StieltjesFunction.id.measure := by
haveI : IsAddLeftInvariant StieltjesFunction.id.measure :=
⟨fun a =>
Eq.symm <|
Real.measure_ext_Ioo_rat fun p q => by
simp only [Measure.map_apply (measurable_const_add a) measurableSet_Ioo,
sub_sub_sub_cancel_right, StieltjesFunction.measure_Ioo, StieltjesFunction.id_leftLim,
StieltjesFunction.id_apply, id, preimage_const_add_Ioo]⟩
have A : StieltjesFunction.id.measure (stdOrthonormalBasis ℝ ℝ).toBasis.parallelepiped = 1 := by
change StieltjesFunction.id.measure (parallelepiped (stdOrthonormalBasis ℝ ℝ)) = 1
rcases parallelepiped_orthonormalBasis_one_dim (stdOrthonormalBasis ℝ ℝ) with (H | H) <;>
simp only [H, StieltjesFunction.measure_Icc, StieltjesFunction.id_apply, id, tsub_zero,
StieltjesFunction.id_leftLim, sub_neg_eq_add, zero_add, ENNReal.ofReal_one]
conv_rhs =>
rw [addHaarMeasure_unique StieltjesFunction.id.measure
(stdOrthonormalBasis ℝ ℝ).toBasis.parallelepiped, A]
simp only [volume, Basis.addHaar, one_smul]
#align real.volume_eq_stieltjes_id Real.volume_eq_stieltjes_id
theorem volume_val (s) : volume s = StieltjesFunction.id.measure s := by
simp [volume_eq_stieltjes_id]
#align real.volume_val Real.volume_val
@[simp]
theorem volume_Ico {a b : ℝ} : volume (Ico a b) = ofReal (b - a) := by simp [volume_val]
#align real.volume_Ico Real.volume_Ico
@[simp]
theorem volume_Icc {a b : ℝ} : volume (Icc a b) = ofReal (b - a) := by simp [volume_val]
#align real.volume_Icc Real.volume_Icc
@[simp]
theorem volume_Ioo {a b : ℝ} : volume (Ioo a b) = ofReal (b - a) := by simp [volume_val]
#align real.volume_Ioo Real.volume_Ioo
@[simp]
theorem volume_Ioc {a b : ℝ} : volume (Ioc a b) = ofReal (b - a) := by simp [volume_val]
#align real.volume_Ioc Real.volume_Ioc
-- @[simp] -- Porting note (#10618): simp can prove this
theorem volume_singleton {a : ℝ} : volume ({a} : Set ℝ) = 0 := by simp [volume_val]
#align real.volume_singleton Real.volume_singleton
-- @[simp] -- Porting note (#10618): simp can prove this, after mathlib4#4628
theorem volume_univ : volume (univ : Set ℝ) = ∞ :=
ENNReal.eq_top_of_forall_nnreal_le fun r =>
calc
(r : ℝ≥0∞) = volume (Icc (0 : ℝ) r) := by simp
_ ≤ volume univ := measure_mono (subset_univ _)
#align real.volume_univ Real.volume_univ
@[simp]
theorem volume_ball (a r : ℝ) : volume (Metric.ball a r) = ofReal (2 * r) := by
rw [ball_eq_Ioo, volume_Ioo, ← sub_add, add_sub_cancel_left, two_mul]
#align real.volume_ball Real.volume_ball
@[simp]
theorem volume_closedBall (a r : ℝ) : volume (Metric.closedBall a r) = ofReal (2 * r) := by
rw [closedBall_eq_Icc, volume_Icc, ← sub_add, add_sub_cancel_left, two_mul]
#align real.volume_closed_ball Real.volume_closedBall
@[simp]
theorem volume_emetric_ball (a : ℝ) (r : ℝ≥0∞) : volume (EMetric.ball a r) = 2 * r := by
rcases eq_or_ne r ∞ with (rfl | hr)
· rw [Metric.emetric_ball_top, volume_univ, two_mul, _root_.top_add]
· lift r to ℝ≥0 using hr
rw [Metric.emetric_ball_nnreal, volume_ball, two_mul, ← NNReal.coe_add,
ENNReal.ofReal_coe_nnreal, ENNReal.coe_add, two_mul]
#align real.volume_emetric_ball Real.volume_emetric_ball
@[simp]
theorem volume_emetric_closedBall (a : ℝ) (r : ℝ≥0∞) : volume (EMetric.closedBall a r) = 2 * r := by
rcases eq_or_ne r ∞ with (rfl | hr)
· rw [EMetric.closedBall_top, volume_univ, two_mul, _root_.top_add]
· lift r to ℝ≥0 using hr
rw [Metric.emetric_closedBall_nnreal, volume_closedBall, two_mul, ← NNReal.coe_add,
ENNReal.ofReal_coe_nnreal, ENNReal.coe_add, two_mul]
#align real.volume_emetric_closed_ball Real.volume_emetric_closedBall
instance noAtoms_volume : NoAtoms (volume : Measure ℝ) :=
⟨fun _ => volume_singleton⟩
#align real.has_no_atoms_volume Real.noAtoms_volume
@[simp]
theorem volume_interval {a b : ℝ} : volume (uIcc a b) = ofReal |b - a| := by
rw [← Icc_min_max, volume_Icc, max_sub_min_eq_abs]
#align real.volume_interval Real.volume_interval
@[simp]
theorem volume_Ioi {a : ℝ} : volume (Ioi a) = ∞ :=
top_unique <|
le_of_tendsto' ENNReal.tendsto_nat_nhds_top fun n =>
calc
(n : ℝ≥0∞) = volume (Ioo a (a + n)) := by simp
_ ≤ volume (Ioi a) := measure_mono Ioo_subset_Ioi_self
#align real.volume_Ioi Real.volume_Ioi
@[simp]
theorem volume_Ici {a : ℝ} : volume (Ici a) = ∞ := by rw [← measure_congr Ioi_ae_eq_Ici]; simp
#align real.volume_Ici Real.volume_Ici
@[simp]
theorem volume_Iio {a : ℝ} : volume (Iio a) = ∞ :=
top_unique <|
le_of_tendsto' ENNReal.tendsto_nat_nhds_top fun n =>
calc
(n : ℝ≥0∞) = volume (Ioo (a - n) a) := by simp
_ ≤ volume (Iio a) := measure_mono Ioo_subset_Iio_self
#align real.volume_Iio Real.volume_Iio
@[simp]
theorem volume_Iic {a : ℝ} : volume (Iic a) = ∞ := by rw [← measure_congr Iio_ae_eq_Iic]; simp
#align real.volume_Iic Real.volume_Iic
instance locallyFinite_volume : IsLocallyFiniteMeasure (volume : Measure ℝ) :=
⟨fun x =>
⟨Ioo (x - 1) (x + 1),
IsOpen.mem_nhds isOpen_Ioo ⟨sub_lt_self _ zero_lt_one, lt_add_of_pos_right _ zero_lt_one⟩, by
simp only [Real.volume_Ioo, ENNReal.ofReal_lt_top]⟩⟩
#align real.locally_finite_volume Real.locallyFinite_volume
instance isFiniteMeasure_restrict_Icc (x y : ℝ) : IsFiniteMeasure (volume.restrict (Icc x y)) :=
⟨by simp⟩
#align real.is_finite_measure_restrict_Icc Real.isFiniteMeasure_restrict_Icc
instance isFiniteMeasure_restrict_Ico (x y : ℝ) : IsFiniteMeasure (volume.restrict (Ico x y)) :=
⟨by simp⟩
#align real.is_finite_measure_restrict_Ico Real.isFiniteMeasure_restrict_Ico
instance isFiniteMeasure_restrict_Ioc (x y : ℝ) : IsFiniteMeasure (volume.restrict (Ioc x y)) :=
⟨by simp⟩
#align real.is_finite_measure_restrict_Ioc Real.isFiniteMeasure_restrict_Ioc
instance isFiniteMeasure_restrict_Ioo (x y : ℝ) : IsFiniteMeasure (volume.restrict (Ioo x y)) :=
⟨by simp⟩
#align real.is_finite_measure_restrict_Ioo Real.isFiniteMeasure_restrict_Ioo
| Mathlib/MeasureTheory/Measure/Lebesgue/Basic.lean | 193 | 197 | theorem volume_le_diam (s : Set ℝ) : volume s ≤ EMetric.diam s := by |
by_cases hs : Bornology.IsBounded s
· rw [Real.ediam_eq hs, ← volume_Icc]
exact volume.mono hs.subset_Icc_sInf_sSup
· rw [Metric.ediam_of_unbounded hs]; exact le_top
|
import Mathlib.Topology.Category.TopCat.Limits.Pullbacks
import Mathlib.Geometry.RingedSpace.LocallyRingedSpace
#align_import algebraic_geometry.open_immersion.basic from "leanprover-community/mathlib"@"533f62f4dd62a5aad24a04326e6e787c8f7e98b1"
-- Porting note: due to `PresheafedSpace`, `SheafedSpace` and `LocallyRingedSpace`
set_option linter.uppercaseLean3 false
open TopologicalSpace CategoryTheory Opposite
open CategoryTheory.Limits
namespace AlgebraicGeometry
universe v v₁ v₂ u
variable {C : Type u} [Category.{v} C]
class PresheafedSpace.IsOpenImmersion {X Y : PresheafedSpace C} (f : X ⟶ Y) : Prop where
base_open : OpenEmbedding f.base
c_iso : ∀ U : Opens X, IsIso (f.c.app (op (base_open.isOpenMap.functor.obj U)))
#align algebraic_geometry.PresheafedSpace.is_open_immersion AlgebraicGeometry.PresheafedSpace.IsOpenImmersion
abbrev SheafedSpace.IsOpenImmersion {X Y : SheafedSpace C} (f : X ⟶ Y) : Prop :=
PresheafedSpace.IsOpenImmersion f
#align algebraic_geometry.SheafedSpace.is_open_immersion AlgebraicGeometry.SheafedSpace.IsOpenImmersion
abbrev LocallyRingedSpace.IsOpenImmersion {X Y : LocallyRingedSpace} (f : X ⟶ Y) : Prop :=
SheafedSpace.IsOpenImmersion f.1
#align algebraic_geometry.LocallyRingedSpace.is_open_immersion AlgebraicGeometry.LocallyRingedSpace.IsOpenImmersion
namespace PresheafedSpace.IsOpenImmersion
open PresheafedSpace
local notation "IsOpenImmersion" => PresheafedSpace.IsOpenImmersion
attribute [instance] IsOpenImmersion.c_iso
section
variable {X Y : PresheafedSpace C} {f : X ⟶ Y} (H : IsOpenImmersion f)
abbrev openFunctor :=
H.base_open.isOpenMap.functor
#align algebraic_geometry.PresheafedSpace.is_open_immersion.open_functor AlgebraicGeometry.PresheafedSpace.IsOpenImmersion.openFunctor
@[simps! hom_c_app]
noncomputable def isoRestrict : X ≅ Y.restrict H.base_open :=
PresheafedSpace.isoOfComponents (Iso.refl _) <| by
symm
fapply NatIso.ofComponents
· intro U
refine asIso (f.c.app (op (H.openFunctor.obj (unop U)))) ≪≫ X.presheaf.mapIso (eqToIso ?_)
induction U using Opposite.rec' with | h U => ?_
cases U
dsimp only [IsOpenMap.functor, Functor.op, Opens.map]
congr 2
erw [Set.preimage_image_eq _ H.base_open.inj]
rfl
· intro U V i
simp only [CategoryTheory.eqToIso.hom, TopCat.Presheaf.pushforwardObj_map, Category.assoc,
Functor.op_map, Iso.trans_hom, asIso_hom, Functor.mapIso_hom, ← X.presheaf.map_comp]
erw [f.c.naturality_assoc, ← X.presheaf.map_comp]
congr 1
#align algebraic_geometry.PresheafedSpace.is_open_immersion.iso_restrict AlgebraicGeometry.PresheafedSpace.IsOpenImmersion.isoRestrict
@[simp]
theorem isoRestrict_hom_ofRestrict : H.isoRestrict.hom ≫ Y.ofRestrict _ = f := by
-- Porting note: `ext` did not pick up `NatTrans.ext`
refine PresheafedSpace.Hom.ext _ _ rfl <| NatTrans.ext _ _ <| funext fun x => ?_
simp only [isoRestrict_hom_c_app, NatTrans.comp_app, eqToHom_refl,
ofRestrict_c_app, Category.assoc, whiskerRight_id']
erw [Category.comp_id, comp_c_app, f.c.naturality_assoc, ← X.presheaf.map_comp]
trans f.c.app x ≫ X.presheaf.map (𝟙 _)
· congr 1
· erw [X.presheaf.map_id, Category.comp_id]
#align algebraic_geometry.PresheafedSpace.is_open_immersion.iso_restrict_hom_of_restrict AlgebraicGeometry.PresheafedSpace.IsOpenImmersion.isoRestrict_hom_ofRestrict
@[simp]
theorem isoRestrict_inv_ofRestrict : H.isoRestrict.inv ≫ f = Y.ofRestrict _ := by
rw [Iso.inv_comp_eq, isoRestrict_hom_ofRestrict]
#align algebraic_geometry.PresheafedSpace.is_open_immersion.iso_restrict_inv_of_restrict AlgebraicGeometry.PresheafedSpace.IsOpenImmersion.isoRestrict_inv_ofRestrict
instance mono [H : IsOpenImmersion f] : Mono f := by
rw [← H.isoRestrict_hom_ofRestrict]; apply mono_comp
#align algebraic_geometry.PresheafedSpace.is_open_immersion.mono AlgebraicGeometry.PresheafedSpace.IsOpenImmersion.mono
instance comp {Z : PresheafedSpace C} (f : X ⟶ Y) [hf : IsOpenImmersion f] (g : Y ⟶ Z)
[hg : IsOpenImmersion g] : IsOpenImmersion (f ≫ g) where
base_open := hg.base_open.comp hf.base_open
c_iso U := by
generalize_proofs h
dsimp only [AlgebraicGeometry.PresheafedSpace.comp_c_app, unop_op, Functor.op, comp_base,
TopCat.Presheaf.pushforwardObj_obj, Opens.map_comp_obj]
-- Porting note: was `apply (config := { instances := False }) ...`
-- See https://github.com/leanprover/lean4/issues/2273
have : IsIso (g.c.app (op <| (h.functor).obj U)) := by
have : h.functor.obj U = hg.openFunctor.obj (hf.openFunctor.obj U) := by
ext1
dsimp only [IsOpenMap.functor_obj_coe]
-- Porting note: slightly more hand holding here: `g ∘ f` and `fun x => g (f x)`
erw [comp_base, coe_comp, show g.base ∘ f.base = fun x => g.base (f.base x) from rfl,
← Set.image_image] -- now `erw` after #13170
rw [this]
infer_instance
have : IsIso (f.c.app (op <| (Opens.map g.base).obj ((IsOpenMap.functor h).obj U))) := by
have : (Opens.map g.base).obj (h.functor.obj U) = hf.openFunctor.obj U := by
ext1
dsimp only [Opens.map_coe, IsOpenMap.functor_obj_coe, comp_base]
-- Porting note: slightly more hand holding here: `g ∘ f` and `fun x => g (f x)`
erw [coe_comp, show g.base ∘ f.base = fun x => g.base (f.base x) from rfl,
← Set.image_image g.base f.base, Set.preimage_image_eq _ hg.base_open.inj]
-- now `erw` after #13170
rw [this]
infer_instance
apply IsIso.comp_isIso
#align algebraic_geometry.PresheafedSpace.is_open_immersion.comp AlgebraicGeometry.PresheafedSpace.IsOpenImmersion.comp
noncomputable def invApp (U : Opens X) :
X.presheaf.obj (op U) ⟶ Y.presheaf.obj (op (H.openFunctor.obj U)) :=
X.presheaf.map (eqToHom (by
-- Porting note: was just `simp [opens.map, Set.preimage_image_eq _ H.base_open.inj]`
-- See https://github.com/leanprover-community/mathlib4/issues/5026
-- I think this is because `Set.preimage_image_eq _ H.base_open.inj` can't see through a
-- structure
congr; ext
dsimp [openFunctor, IsOpenMap.functor]
rw [Set.preimage_image_eq _ H.base_open.inj])) ≫
inv (f.c.app (op (H.openFunctor.obj U)))
#align algebraic_geometry.PresheafedSpace.is_open_immersion.inv_app AlgebraicGeometry.PresheafedSpace.IsOpenImmersion.invApp
@[simp, reassoc]
| Mathlib/Geometry/RingedSpace/OpenImmersion.lean | 200 | 211 | theorem inv_naturality {U V : (Opens X)ᵒᵖ} (i : U ⟶ V) :
X.presheaf.map i ≫ H.invApp (unop V) =
H.invApp (unop U) ≫ Y.presheaf.map (H.openFunctor.op.map i) := by |
simp only [invApp, ← Category.assoc]
rw [IsIso.comp_inv_eq]
-- Porting note: `simp` can't pick up `f.c.naturality`
-- See https://github.com/leanprover-community/mathlib4/issues/5026
simp only [Category.assoc, ← X.presheaf.map_comp]
erw [f.c.naturality]
simp only [IsIso.inv_hom_id_assoc, ← X.presheaf.map_comp]
erw [← X.presheaf.map_comp]
congr 1
|
import Mathlib.Algebra.MvPolynomial.Counit
import Mathlib.Algebra.MvPolynomial.Invertible
import Mathlib.RingTheory.WittVector.Defs
#align_import ring_theory.witt_vector.basic from "leanprover-community/mathlib"@"9556784a5b84697562e9c6acb40500d4a82e675a"
noncomputable section
open MvPolynomial Function
variable {p : ℕ} {R S T : Type*} [hp : Fact p.Prime] [CommRing R] [CommRing S] [CommRing T]
variable {α : Type*} {β : Type*}
local notation "𝕎" => WittVector p
local notation "W_" => wittPolynomial p
-- type as `\bbW`
open scoped Witt
namespace WittVector
def mapFun (f : α → β) : 𝕎 α → 𝕎 β := fun x => mk _ (f ∘ x.coeff)
#align witt_vector.map_fun WittVector.mapFun
namespace mapFun
-- Porting note: switched the proof to tactic mode. I think that `ext` was the issue.
theorem injective (f : α → β) (hf : Injective f) : Injective (mapFun f : 𝕎 α → 𝕎 β) := by
intros _ _ h
ext p
exact hf (congr_arg (fun x => coeff x p) h : _)
#align witt_vector.map_fun.injective WittVector.mapFun.injective
theorem surjective (f : α → β) (hf : Surjective f) : Surjective (mapFun f : 𝕎 α → 𝕎 β) := fun x =>
⟨mk _ fun n => Classical.choose <| hf <| x.coeff n,
by ext n; simp only [mapFun, coeff_mk, comp_apply, Classical.choose_spec (hf (x.coeff n))]⟩
#align witt_vector.map_fun.surjective WittVector.mapFun.surjective
-- Porting note: using `(x y : 𝕎 R)` instead of `(x y : WittVector p R)` produced sorries.
variable (f : R →+* S) (x y : WittVector p R)
-- porting note: a very crude port.
macro "map_fun_tac" : tactic => `(tactic| (
ext n
simp only [mapFun, mk, comp_apply, zero_coeff, map_zero,
-- Porting note: the lemmas on the next line do not have the `simp` tag in mathlib4
add_coeff, sub_coeff, mul_coeff, neg_coeff, nsmul_coeff, zsmul_coeff, pow_coeff,
peval, map_aeval, algebraMap_int_eq, coe_eval₂Hom] <;>
try { cases n <;> simp <;> done } <;> -- Porting note: this line solves `one`
apply eval₂Hom_congr (RingHom.ext_int _ _) _ rfl <;>
ext ⟨i, k⟩ <;>
fin_cases i <;> rfl))
-- and until `pow`.
-- We do not tag these lemmas as `@[simp]` because they will be bundled in `map` later on.
theorem zero : mapFun f (0 : 𝕎 R) = 0 := by map_fun_tac
#align witt_vector.map_fun.zero WittVector.mapFun.zero
theorem one : mapFun f (1 : 𝕎 R) = 1 := by map_fun_tac
#align witt_vector.map_fun.one WittVector.mapFun.one
theorem add : mapFun f (x + y) = mapFun f x + mapFun f y := by map_fun_tac
#align witt_vector.map_fun.add WittVector.mapFun.add
theorem sub : mapFun f (x - y) = mapFun f x - mapFun f y := by map_fun_tac
#align witt_vector.map_fun.sub WittVector.mapFun.sub
theorem mul : mapFun f (x * y) = mapFun f x * mapFun f y := by map_fun_tac
#align witt_vector.map_fun.mul WittVector.mapFun.mul
theorem neg : mapFun f (-x) = -mapFun f x := by map_fun_tac
#align witt_vector.map_fun.neg WittVector.mapFun.neg
theorem nsmul (n : ℕ) (x : WittVector p R) : mapFun f (n • x) = n • mapFun f x := by map_fun_tac
#align witt_vector.map_fun.nsmul WittVector.mapFun.nsmul
| Mathlib/RingTheory/WittVector/Basic.lean | 123 | 123 | theorem zsmul (z : ℤ) (x : WittVector p R) : mapFun f (z • x) = z • mapFun f x := by | map_fun_tac
|
import Mathlib.Combinatorics.SimpleGraph.Subgraph
import Mathlib.Data.List.Rotate
#align_import combinatorics.simple_graph.connectivity from "leanprover-community/mathlib"@"b99e2d58a5e6861833fa8de11e51a81144258db4"
open Function
universe u v w
namespace SimpleGraph
variable {V : Type u} {V' : Type v} {V'' : Type w}
variable (G : SimpleGraph V) (G' : SimpleGraph V') (G'' : SimpleGraph V'')
inductive Walk : V → V → Type u
| nil {u : V} : Walk u u
| cons {u v w : V} (h : G.Adj u v) (p : Walk v w) : Walk u w
deriving DecidableEq
#align simple_graph.walk SimpleGraph.Walk
attribute [refl] Walk.nil
@[simps]
instance Walk.instInhabited (v : V) : Inhabited (G.Walk v v) := ⟨Walk.nil⟩
#align simple_graph.walk.inhabited SimpleGraph.Walk.instInhabited
@[match_pattern, reducible]
def Adj.toWalk {G : SimpleGraph V} {u v : V} (h : G.Adj u v) : G.Walk u v :=
Walk.cons h Walk.nil
#align simple_graph.adj.to_walk SimpleGraph.Adj.toWalk
namespace Walk
variable {G}
@[match_pattern]
abbrev nil' (u : V) : G.Walk u u := Walk.nil
#align simple_graph.walk.nil' SimpleGraph.Walk.nil'
@[match_pattern]
abbrev cons' (u v w : V) (h : G.Adj u v) (p : G.Walk v w) : G.Walk u w := Walk.cons h p
#align simple_graph.walk.cons' SimpleGraph.Walk.cons'
protected def copy {u v u' v'} (p : G.Walk u v) (hu : u = u') (hv : v = v') : G.Walk u' v' :=
hu ▸ hv ▸ p
#align simple_graph.walk.copy SimpleGraph.Walk.copy
@[simp]
theorem copy_rfl_rfl {u v} (p : G.Walk u v) : p.copy rfl rfl = p := rfl
#align simple_graph.walk.copy_rfl_rfl SimpleGraph.Walk.copy_rfl_rfl
@[simp]
theorem copy_copy {u v u' v' u'' v''} (p : G.Walk u v)
(hu : u = u') (hv : v = v') (hu' : u' = u'') (hv' : v' = v'') :
(p.copy hu hv).copy hu' hv' = p.copy (hu.trans hu') (hv.trans hv') := by
subst_vars
rfl
#align simple_graph.walk.copy_copy SimpleGraph.Walk.copy_copy
@[simp]
theorem copy_nil {u u'} (hu : u = u') : (Walk.nil : G.Walk u u).copy hu hu = Walk.nil := by
subst_vars
rfl
#align simple_graph.walk.copy_nil SimpleGraph.Walk.copy_nil
theorem copy_cons {u v w u' w'} (h : G.Adj u v) (p : G.Walk v w) (hu : u = u') (hw : w = w') :
(Walk.cons h p).copy hu hw = Walk.cons (hu ▸ h) (p.copy rfl hw) := by
subst_vars
rfl
#align simple_graph.walk.copy_cons SimpleGraph.Walk.copy_cons
@[simp]
theorem cons_copy {u v w v' w'} (h : G.Adj u v) (p : G.Walk v' w') (hv : v' = v) (hw : w' = w) :
Walk.cons h (p.copy hv hw) = (Walk.cons (hv ▸ h) p).copy rfl hw := by
subst_vars
rfl
#align simple_graph.walk.cons_copy SimpleGraph.Walk.cons_copy
theorem exists_eq_cons_of_ne {u v : V} (hne : u ≠ v) :
∀ (p : G.Walk u v), ∃ (w : V) (h : G.Adj u w) (p' : G.Walk w v), p = cons h p'
| nil => (hne rfl).elim
| cons h p' => ⟨_, h, p', rfl⟩
#align simple_graph.walk.exists_eq_cons_of_ne SimpleGraph.Walk.exists_eq_cons_of_ne
def length {u v : V} : G.Walk u v → ℕ
| nil => 0
| cons _ q => q.length.succ
#align simple_graph.walk.length SimpleGraph.Walk.length
@[trans]
def append {u v w : V} : G.Walk u v → G.Walk v w → G.Walk u w
| nil, q => q
| cons h p, q => cons h (p.append q)
#align simple_graph.walk.append SimpleGraph.Walk.append
def concat {u v w : V} (p : G.Walk u v) (h : G.Adj v w) : G.Walk u w := p.append (cons h nil)
#align simple_graph.walk.concat SimpleGraph.Walk.concat
theorem concat_eq_append {u v w : V} (p : G.Walk u v) (h : G.Adj v w) :
p.concat h = p.append (cons h nil) := rfl
#align simple_graph.walk.concat_eq_append SimpleGraph.Walk.concat_eq_append
protected def reverseAux {u v w : V} : G.Walk u v → G.Walk u w → G.Walk v w
| nil, q => q
| cons h p, q => Walk.reverseAux p (cons (G.symm h) q)
#align simple_graph.walk.reverse_aux SimpleGraph.Walk.reverseAux
@[symm]
def reverse {u v : V} (w : G.Walk u v) : G.Walk v u := w.reverseAux nil
#align simple_graph.walk.reverse SimpleGraph.Walk.reverse
def getVert {u v : V} : G.Walk u v → ℕ → V
| nil, _ => u
| cons _ _, 0 => u
| cons _ q, n + 1 => q.getVert n
#align simple_graph.walk.get_vert SimpleGraph.Walk.getVert
@[simp]
theorem getVert_zero {u v} (w : G.Walk u v) : w.getVert 0 = u := by cases w <;> rfl
#align simple_graph.walk.get_vert_zero SimpleGraph.Walk.getVert_zero
theorem getVert_of_length_le {u v} (w : G.Walk u v) {i : ℕ} (hi : w.length ≤ i) :
w.getVert i = v := by
induction w generalizing i with
| nil => rfl
| cons _ _ ih =>
cases i
· cases hi
· exact ih (Nat.succ_le_succ_iff.1 hi)
#align simple_graph.walk.get_vert_of_length_le SimpleGraph.Walk.getVert_of_length_le
@[simp]
theorem getVert_length {u v} (w : G.Walk u v) : w.getVert w.length = v :=
w.getVert_of_length_le rfl.le
#align simple_graph.walk.get_vert_length SimpleGraph.Walk.getVert_length
theorem adj_getVert_succ {u v} (w : G.Walk u v) {i : ℕ} (hi : i < w.length) :
G.Adj (w.getVert i) (w.getVert (i + 1)) := by
induction w generalizing i with
| nil => cases hi
| cons hxy _ ih =>
cases i
· simp [getVert, hxy]
· exact ih (Nat.succ_lt_succ_iff.1 hi)
#align simple_graph.walk.adj_get_vert_succ SimpleGraph.Walk.adj_getVert_succ
@[simp]
theorem cons_append {u v w x : V} (h : G.Adj u v) (p : G.Walk v w) (q : G.Walk w x) :
(cons h p).append q = cons h (p.append q) := rfl
#align simple_graph.walk.cons_append SimpleGraph.Walk.cons_append
@[simp]
theorem cons_nil_append {u v w : V} (h : G.Adj u v) (p : G.Walk v w) :
(cons h nil).append p = cons h p := rfl
#align simple_graph.walk.cons_nil_append SimpleGraph.Walk.cons_nil_append
@[simp]
theorem append_nil {u v : V} (p : G.Walk u v) : p.append nil = p := by
induction p with
| nil => rfl
| cons _ _ ih => rw [cons_append, ih]
#align simple_graph.walk.append_nil SimpleGraph.Walk.append_nil
@[simp]
theorem nil_append {u v : V} (p : G.Walk u v) : nil.append p = p :=
rfl
#align simple_graph.walk.nil_append SimpleGraph.Walk.nil_append
theorem append_assoc {u v w x : V} (p : G.Walk u v) (q : G.Walk v w) (r : G.Walk w x) :
p.append (q.append r) = (p.append q).append r := by
induction p with
| nil => rfl
| cons h p' ih =>
dsimp only [append]
rw [ih]
#align simple_graph.walk.append_assoc SimpleGraph.Walk.append_assoc
@[simp]
theorem append_copy_copy {u v w u' v' w'} (p : G.Walk u v) (q : G.Walk v w)
(hu : u = u') (hv : v = v') (hw : w = w') :
(p.copy hu hv).append (q.copy hv hw) = (p.append q).copy hu hw := by
subst_vars
rfl
#align simple_graph.walk.append_copy_copy SimpleGraph.Walk.append_copy_copy
theorem concat_nil {u v : V} (h : G.Adj u v) : nil.concat h = cons h nil := rfl
#align simple_graph.walk.concat_nil SimpleGraph.Walk.concat_nil
@[simp]
theorem concat_cons {u v w x : V} (h : G.Adj u v) (p : G.Walk v w) (h' : G.Adj w x) :
(cons h p).concat h' = cons h (p.concat h') := rfl
#align simple_graph.walk.concat_cons SimpleGraph.Walk.concat_cons
theorem append_concat {u v w x : V} (p : G.Walk u v) (q : G.Walk v w) (h : G.Adj w x) :
p.append (q.concat h) = (p.append q).concat h := append_assoc _ _ _
#align simple_graph.walk.append_concat SimpleGraph.Walk.append_concat
theorem concat_append {u v w x : V} (p : G.Walk u v) (h : G.Adj v w) (q : G.Walk w x) :
(p.concat h).append q = p.append (cons h q) := by
rw [concat_eq_append, ← append_assoc, cons_nil_append]
#align simple_graph.walk.concat_append SimpleGraph.Walk.concat_append
theorem exists_cons_eq_concat {u v w : V} (h : G.Adj u v) (p : G.Walk v w) :
∃ (x : V) (q : G.Walk u x) (h' : G.Adj x w), cons h p = q.concat h' := by
induction p generalizing u with
| nil => exact ⟨_, nil, h, rfl⟩
| cons h' p ih =>
obtain ⟨y, q, h'', hc⟩ := ih h'
refine ⟨y, cons h q, h'', ?_⟩
rw [concat_cons, hc]
#align simple_graph.walk.exists_cons_eq_concat SimpleGraph.Walk.exists_cons_eq_concat
theorem exists_concat_eq_cons {u v w : V} :
∀ (p : G.Walk u v) (h : G.Adj v w),
∃ (x : V) (h' : G.Adj u x) (q : G.Walk x w), p.concat h = cons h' q
| nil, h => ⟨_, h, nil, rfl⟩
| cons h' p, h => ⟨_, h', Walk.concat p h, concat_cons _ _ _⟩
#align simple_graph.walk.exists_concat_eq_cons SimpleGraph.Walk.exists_concat_eq_cons
@[simp]
theorem reverse_nil {u : V} : (nil : G.Walk u u).reverse = nil := rfl
#align simple_graph.walk.reverse_nil SimpleGraph.Walk.reverse_nil
theorem reverse_singleton {u v : V} (h : G.Adj u v) : (cons h nil).reverse = cons (G.symm h) nil :=
rfl
#align simple_graph.walk.reverse_singleton SimpleGraph.Walk.reverse_singleton
@[simp]
theorem cons_reverseAux {u v w x : V} (p : G.Walk u v) (q : G.Walk w x) (h : G.Adj w u) :
(cons h p).reverseAux q = p.reverseAux (cons (G.symm h) q) := rfl
#align simple_graph.walk.cons_reverse_aux SimpleGraph.Walk.cons_reverseAux
@[simp]
protected theorem append_reverseAux {u v w x : V}
(p : G.Walk u v) (q : G.Walk v w) (r : G.Walk u x) :
(p.append q).reverseAux r = q.reverseAux (p.reverseAux r) := by
induction p with
| nil => rfl
| cons h _ ih => exact ih q (cons (G.symm h) r)
#align simple_graph.walk.append_reverse_aux SimpleGraph.Walk.append_reverseAux
@[simp]
protected theorem reverseAux_append {u v w x : V}
(p : G.Walk u v) (q : G.Walk u w) (r : G.Walk w x) :
(p.reverseAux q).append r = p.reverseAux (q.append r) := by
induction p with
| nil => rfl
| cons h _ ih => simp [ih (cons (G.symm h) q)]
#align simple_graph.walk.reverse_aux_append SimpleGraph.Walk.reverseAux_append
protected theorem reverseAux_eq_reverse_append {u v w : V} (p : G.Walk u v) (q : G.Walk u w) :
p.reverseAux q = p.reverse.append q := by simp [reverse]
#align simple_graph.walk.reverse_aux_eq_reverse_append SimpleGraph.Walk.reverseAux_eq_reverse_append
@[simp]
theorem reverse_cons {u v w : V} (h : G.Adj u v) (p : G.Walk v w) :
(cons h p).reverse = p.reverse.append (cons (G.symm h) nil) := by simp [reverse]
#align simple_graph.walk.reverse_cons SimpleGraph.Walk.reverse_cons
@[simp]
theorem reverse_copy {u v u' v'} (p : G.Walk u v) (hu : u = u') (hv : v = v') :
(p.copy hu hv).reverse = p.reverse.copy hv hu := by
subst_vars
rfl
#align simple_graph.walk.reverse_copy SimpleGraph.Walk.reverse_copy
@[simp]
theorem reverse_append {u v w : V} (p : G.Walk u v) (q : G.Walk v w) :
(p.append q).reverse = q.reverse.append p.reverse := by simp [reverse]
#align simple_graph.walk.reverse_append SimpleGraph.Walk.reverse_append
@[simp]
theorem reverse_concat {u v w : V} (p : G.Walk u v) (h : G.Adj v w) :
(p.concat h).reverse = cons (G.symm h) p.reverse := by simp [concat_eq_append]
#align simple_graph.walk.reverse_concat SimpleGraph.Walk.reverse_concat
@[simp]
theorem reverse_reverse {u v : V} (p : G.Walk u v) : p.reverse.reverse = p := by
induction p with
| nil => rfl
| cons _ _ ih => simp [ih]
#align simple_graph.walk.reverse_reverse SimpleGraph.Walk.reverse_reverse
@[simp]
theorem length_nil {u : V} : (nil : G.Walk u u).length = 0 := rfl
#align simple_graph.walk.length_nil SimpleGraph.Walk.length_nil
@[simp]
theorem length_cons {u v w : V} (h : G.Adj u v) (p : G.Walk v w) :
(cons h p).length = p.length + 1 := rfl
#align simple_graph.walk.length_cons SimpleGraph.Walk.length_cons
@[simp]
theorem length_copy {u v u' v'} (p : G.Walk u v) (hu : u = u') (hv : v = v') :
(p.copy hu hv).length = p.length := by
subst_vars
rfl
#align simple_graph.walk.length_copy SimpleGraph.Walk.length_copy
@[simp]
theorem length_append {u v w : V} (p : G.Walk u v) (q : G.Walk v w) :
(p.append q).length = p.length + q.length := by
induction p with
| nil => simp
| cons _ _ ih => simp [ih, add_comm, add_left_comm, add_assoc]
#align simple_graph.walk.length_append SimpleGraph.Walk.length_append
@[simp]
theorem length_concat {u v w : V} (p : G.Walk u v) (h : G.Adj v w) :
(p.concat h).length = p.length + 1 := length_append _ _
#align simple_graph.walk.length_concat SimpleGraph.Walk.length_concat
@[simp]
protected theorem length_reverseAux {u v w : V} (p : G.Walk u v) (q : G.Walk u w) :
(p.reverseAux q).length = p.length + q.length := by
induction p with
| nil => simp!
| cons _ _ ih => simp [ih, Nat.succ_add, Nat.add_assoc]
#align simple_graph.walk.length_reverse_aux SimpleGraph.Walk.length_reverseAux
@[simp]
theorem length_reverse {u v : V} (p : G.Walk u v) : p.reverse.length = p.length := by simp [reverse]
#align simple_graph.walk.length_reverse SimpleGraph.Walk.length_reverse
theorem eq_of_length_eq_zero {u v : V} : ∀ {p : G.Walk u v}, p.length = 0 → u = v
| nil, _ => rfl
#align simple_graph.walk.eq_of_length_eq_zero SimpleGraph.Walk.eq_of_length_eq_zero
theorem adj_of_length_eq_one {u v : V} : ∀ {p : G.Walk u v}, p.length = 1 → G.Adj u v
| cons h nil, _ => h
@[simp]
theorem exists_length_eq_zero_iff {u v : V} : (∃ p : G.Walk u v, p.length = 0) ↔ u = v := by
constructor
· rintro ⟨p, hp⟩
exact eq_of_length_eq_zero hp
· rintro rfl
exact ⟨nil, rfl⟩
#align simple_graph.walk.exists_length_eq_zero_iff SimpleGraph.Walk.exists_length_eq_zero_iff
@[simp]
theorem length_eq_zero_iff {u : V} {p : G.Walk u u} : p.length = 0 ↔ p = nil := by cases p <;> simp
#align simple_graph.walk.length_eq_zero_iff SimpleGraph.Walk.length_eq_zero_iff
theorem getVert_append {u v w : V} (p : G.Walk u v) (q : G.Walk v w) (i : ℕ) :
(p.append q).getVert i = if i < p.length then p.getVert i else q.getVert (i - p.length) := by
induction p generalizing i with
| nil => simp
| cons h p ih => cases i <;> simp [getVert, ih, Nat.succ_lt_succ_iff]
theorem getVert_reverse {u v : V} (p : G.Walk u v) (i : ℕ) :
p.reverse.getVert i = p.getVert (p.length - i) := by
induction p with
| nil => rfl
| cons h p ih =>
simp only [reverse_cons, getVert_append, length_reverse, ih, length_cons]
split_ifs
next hi =>
rw [Nat.succ_sub hi.le]
simp [getVert]
next hi =>
obtain rfl | hi' := Nat.eq_or_lt_of_not_lt hi
· simp [getVert]
· rw [Nat.eq_add_of_sub_eq (Nat.sub_pos_of_lt hi') rfl, Nat.sub_eq_zero_of_le hi']
simp [getVert]
theorem concat_ne_nil {u v : V} (p : G.Walk u v) (h : G.Adj v u) : p.concat h ≠ nil := by
cases p <;> simp [concat]
#align simple_graph.walk.concat_ne_nil SimpleGraph.Walk.concat_ne_nil
theorem concat_inj {u v v' w : V} {p : G.Walk u v} {h : G.Adj v w} {p' : G.Walk u v'}
{h' : G.Adj v' w} (he : p.concat h = p'.concat h') : ∃ hv : v = v', p.copy rfl hv = p' := by
induction p with
| nil =>
cases p'
· exact ⟨rfl, rfl⟩
· exfalso
simp only [concat_nil, concat_cons, cons.injEq] at he
obtain ⟨rfl, he⟩ := he
simp only [heq_iff_eq] at he
exact concat_ne_nil _ _ he.symm
| cons _ _ ih =>
rw [concat_cons] at he
cases p'
· exfalso
simp only [concat_nil, cons.injEq] at he
obtain ⟨rfl, he⟩ := he
rw [heq_iff_eq] at he
exact concat_ne_nil _ _ he
· rw [concat_cons, cons.injEq] at he
obtain ⟨rfl, he⟩ := he
rw [heq_iff_eq] at he
obtain ⟨rfl, rfl⟩ := ih he
exact ⟨rfl, rfl⟩
#align simple_graph.walk.concat_inj SimpleGraph.Walk.concat_inj
def support {u v : V} : G.Walk u v → List V
| nil => [u]
| cons _ p => u :: p.support
#align simple_graph.walk.support SimpleGraph.Walk.support
def darts {u v : V} : G.Walk u v → List G.Dart
| nil => []
| cons h p => ⟨(u, _), h⟩ :: p.darts
#align simple_graph.walk.darts SimpleGraph.Walk.darts
def edges {u v : V} (p : G.Walk u v) : List (Sym2 V) := p.darts.map Dart.edge
#align simple_graph.walk.edges SimpleGraph.Walk.edges
@[simp]
theorem support_nil {u : V} : (nil : G.Walk u u).support = [u] := rfl
#align simple_graph.walk.support_nil SimpleGraph.Walk.support_nil
@[simp]
theorem support_cons {u v w : V} (h : G.Adj u v) (p : G.Walk v w) :
(cons h p).support = u :: p.support := rfl
#align simple_graph.walk.support_cons SimpleGraph.Walk.support_cons
@[simp]
theorem support_concat {u v w : V} (p : G.Walk u v) (h : G.Adj v w) :
(p.concat h).support = p.support.concat w := by
induction p <;> simp [*, concat_nil]
#align simple_graph.walk.support_concat SimpleGraph.Walk.support_concat
@[simp]
theorem support_copy {u v u' v'} (p : G.Walk u v) (hu : u = u') (hv : v = v') :
(p.copy hu hv).support = p.support := by
subst_vars
rfl
#align simple_graph.walk.support_copy SimpleGraph.Walk.support_copy
theorem support_append {u v w : V} (p : G.Walk u v) (p' : G.Walk v w) :
(p.append p').support = p.support ++ p'.support.tail := by
induction p <;> cases p' <;> simp [*]
#align simple_graph.walk.support_append SimpleGraph.Walk.support_append
@[simp]
theorem support_reverse {u v : V} (p : G.Walk u v) : p.reverse.support = p.support.reverse := by
induction p <;> simp [support_append, *]
#align simple_graph.walk.support_reverse SimpleGraph.Walk.support_reverse
@[simp]
theorem support_ne_nil {u v : V} (p : G.Walk u v) : p.support ≠ [] := by cases p <;> simp
#align simple_graph.walk.support_ne_nil SimpleGraph.Walk.support_ne_nil
theorem tail_support_append {u v w : V} (p : G.Walk u v) (p' : G.Walk v w) :
(p.append p').support.tail = p.support.tail ++ p'.support.tail := by
rw [support_append, List.tail_append_of_ne_nil _ _ (support_ne_nil _)]
#align simple_graph.walk.tail_support_append SimpleGraph.Walk.tail_support_append
theorem support_eq_cons {u v : V} (p : G.Walk u v) : p.support = u :: p.support.tail := by
cases p <;> simp
#align simple_graph.walk.support_eq_cons SimpleGraph.Walk.support_eq_cons
@[simp]
theorem start_mem_support {u v : V} (p : G.Walk u v) : u ∈ p.support := by cases p <;> simp
#align simple_graph.walk.start_mem_support SimpleGraph.Walk.start_mem_support
@[simp]
theorem end_mem_support {u v : V} (p : G.Walk u v) : v ∈ p.support := by induction p <;> simp [*]
#align simple_graph.walk.end_mem_support SimpleGraph.Walk.end_mem_support
@[simp]
theorem support_nonempty {u v : V} (p : G.Walk u v) : { w | w ∈ p.support }.Nonempty :=
⟨u, by simp⟩
#align simple_graph.walk.support_nonempty SimpleGraph.Walk.support_nonempty
theorem mem_support_iff {u v w : V} (p : G.Walk u v) :
w ∈ p.support ↔ w = u ∨ w ∈ p.support.tail := by cases p <;> simp
#align simple_graph.walk.mem_support_iff SimpleGraph.Walk.mem_support_iff
theorem mem_support_nil_iff {u v : V} : u ∈ (nil : G.Walk v v).support ↔ u = v := by simp
#align simple_graph.walk.mem_support_nil_iff SimpleGraph.Walk.mem_support_nil_iff
@[simp]
theorem mem_tail_support_append_iff {t u v w : V} (p : G.Walk u v) (p' : G.Walk v w) :
t ∈ (p.append p').support.tail ↔ t ∈ p.support.tail ∨ t ∈ p'.support.tail := by
rw [tail_support_append, List.mem_append]
#align simple_graph.walk.mem_tail_support_append_iff SimpleGraph.Walk.mem_tail_support_append_iff
@[simp]
| Mathlib/Combinatorics/SimpleGraph/Connectivity.lean | 618 | 620 | theorem end_mem_tail_support_of_ne {u v : V} (h : u ≠ v) (p : G.Walk u v) : v ∈ p.support.tail := by |
obtain ⟨_, _, _, rfl⟩ := exists_eq_cons_of_ne h p
simp
|
import Mathlib.CategoryTheory.NatIso
#align_import category_theory.bicategory.basic from "leanprover-community/mathlib"@"4c19a16e4b705bf135cf9a80ac18fcc99c438514"
namespace CategoryTheory
universe w v u
open Category Iso
-- intended to be used with explicit universe parameters
@[nolint checkUnivs]
class Bicategory (B : Type u) extends CategoryStruct.{v} B where
-- category structure on the collection of 1-morphisms:
homCategory : ∀ a b : B, Category.{w} (a ⟶ b) := by infer_instance
-- left whiskering:
whiskerLeft {a b c : B} (f : a ⟶ b) {g h : b ⟶ c} (η : g ⟶ h) : f ≫ g ⟶ f ≫ h
-- right whiskering:
whiskerRight {a b c : B} {f g : a ⟶ b} (η : f ⟶ g) (h : b ⟶ c) : f ≫ h ⟶ g ≫ h
-- associator:
associator {a b c d : B} (f : a ⟶ b) (g : b ⟶ c) (h : c ⟶ d) : (f ≫ g) ≫ h ≅ f ≫ g ≫ h
-- left unitor:
leftUnitor {a b : B} (f : a ⟶ b) : 𝟙 a ≫ f ≅ f
-- right unitor:
rightUnitor {a b : B} (f : a ⟶ b) : f ≫ 𝟙 b ≅ f
-- axioms for left whiskering:
whiskerLeft_id : ∀ {a b c} (f : a ⟶ b) (g : b ⟶ c), whiskerLeft f (𝟙 g) = 𝟙 (f ≫ g) := by
aesop_cat
whiskerLeft_comp :
∀ {a b c} (f : a ⟶ b) {g h i : b ⟶ c} (η : g ⟶ h) (θ : h ⟶ i),
whiskerLeft f (η ≫ θ) = whiskerLeft f η ≫ whiskerLeft f θ := by
aesop_cat
id_whiskerLeft :
∀ {a b} {f g : a ⟶ b} (η : f ⟶ g),
whiskerLeft (𝟙 a) η = (leftUnitor f).hom ≫ η ≫ (leftUnitor g).inv := by
aesop_cat
comp_whiskerLeft :
∀ {a b c d} (f : a ⟶ b) (g : b ⟶ c) {h h' : c ⟶ d} (η : h ⟶ h'),
whiskerLeft (f ≫ g) η =
(associator f g h).hom ≫ whiskerLeft f (whiskerLeft g η) ≫ (associator f g h').inv := by
aesop_cat
-- axioms for right whiskering:
id_whiskerRight : ∀ {a b c} (f : a ⟶ b) (g : b ⟶ c), whiskerRight (𝟙 f) g = 𝟙 (f ≫ g) := by
aesop_cat
comp_whiskerRight :
∀ {a b c} {f g h : a ⟶ b} (η : f ⟶ g) (θ : g ⟶ h) (i : b ⟶ c),
whiskerRight (η ≫ θ) i = whiskerRight η i ≫ whiskerRight θ i := by
aesop_cat
whiskerRight_id :
∀ {a b} {f g : a ⟶ b} (η : f ⟶ g),
whiskerRight η (𝟙 b) = (rightUnitor f).hom ≫ η ≫ (rightUnitor g).inv := by
aesop_cat
whiskerRight_comp :
∀ {a b c d} {f f' : a ⟶ b} (η : f ⟶ f') (g : b ⟶ c) (h : c ⟶ d),
whiskerRight η (g ≫ h) =
(associator f g h).inv ≫ whiskerRight (whiskerRight η g) h ≫ (associator f' g h).hom := by
aesop_cat
-- associativity of whiskerings:
whisker_assoc :
∀ {a b c d} (f : a ⟶ b) {g g' : b ⟶ c} (η : g ⟶ g') (h : c ⟶ d),
whiskerRight (whiskerLeft f η) h =
(associator f g h).hom ≫ whiskerLeft f (whiskerRight η h) ≫ (associator f g' h).inv := by
aesop_cat
-- exchange law of left and right whiskerings:
whisker_exchange :
∀ {a b c} {f g : a ⟶ b} {h i : b ⟶ c} (η : f ⟶ g) (θ : h ⟶ i),
whiskerLeft f θ ≫ whiskerRight η i = whiskerRight η h ≫ whiskerLeft g θ := by
aesop_cat
-- pentagon identity:
pentagon :
∀ {a b c d e} (f : a ⟶ b) (g : b ⟶ c) (h : c ⟶ d) (i : d ⟶ e),
whiskerRight (associator f g h).hom i ≫
(associator f (g ≫ h) i).hom ≫ whiskerLeft f (associator g h i).hom =
(associator (f ≫ g) h i).hom ≫ (associator f g (h ≫ i)).hom := by
aesop_cat
-- triangle identity:
triangle :
∀ {a b c} (f : a ⟶ b) (g : b ⟶ c),
(associator f (𝟙 b) g).hom ≫ whiskerLeft f (leftUnitor g).hom
= whiskerRight (rightUnitor f).hom g := by
aesop_cat
#align category_theory.bicategory CategoryTheory.Bicategory
#align category_theory.bicategory.hom_category CategoryTheory.Bicategory.homCategory
#align category_theory.bicategory.whisker_left CategoryTheory.Bicategory.whiskerLeft
#align category_theory.bicategory.whisker_right CategoryTheory.Bicategory.whiskerRight
#align category_theory.bicategory.left_unitor CategoryTheory.Bicategory.leftUnitor
#align category_theory.bicategory.right_unitor CategoryTheory.Bicategory.rightUnitor
#align category_theory.bicategory.whisker_left_id' CategoryTheory.Bicategory.whiskerLeft_id
#align category_theory.bicategory.whisker_left_comp' CategoryTheory.Bicategory.whiskerLeft_comp
#align category_theory.bicategory.id_whisker_left' CategoryTheory.Bicategory.id_whiskerLeft
#align category_theory.bicategory.comp_whisker_left' CategoryTheory.Bicategory.comp_whiskerLeft
#align category_theory.bicategory.id_whisker_right' CategoryTheory.Bicategory.id_whiskerRight
#align category_theory.bicategory.comp_whisker_right' CategoryTheory.Bicategory.comp_whiskerRight
#align category_theory.bicategory.whisker_right_id' CategoryTheory.Bicategory.whiskerRight_id
#align category_theory.bicategory.whisker_right_comp' CategoryTheory.Bicategory.whiskerRight_comp
#align category_theory.bicategory.whisker_assoc' CategoryTheory.Bicategory.whisker_assoc
#align category_theory.bicategory.whisker_exchange' CategoryTheory.Bicategory.whisker_exchange
#align category_theory.bicategory.pentagon' CategoryTheory.Bicategory.pentagon
#align category_theory.bicategory.triangle' CategoryTheory.Bicategory.triangle
namespace Bicategory
scoped infixr:81 " ◁ " => Bicategory.whiskerLeft
scoped infixl:81 " ▷ " => Bicategory.whiskerRight
scoped notation "α_" => Bicategory.associator
scoped notation "λ_" => Bicategory.leftUnitor
scoped notation "ρ_" => Bicategory.rightUnitor
attribute [instance] homCategory
attribute [reassoc]
whiskerLeft_comp id_whiskerLeft comp_whiskerLeft comp_whiskerRight whiskerRight_id
whiskerRight_comp whisker_assoc whisker_exchange
attribute [reassoc (attr := simp)] pentagon triangle
attribute [simp]
whiskerLeft_id whiskerLeft_comp id_whiskerLeft comp_whiskerLeft id_whiskerRight comp_whiskerRight
whiskerRight_id whiskerRight_comp whisker_assoc
variable {B : Type u} [Bicategory.{w, v} B] {a b c d e : B}
@[reassoc (attr := simp)]
theorem whiskerLeft_hom_inv (f : a ⟶ b) {g h : b ⟶ c} (η : g ≅ h) :
f ◁ η.hom ≫ f ◁ η.inv = 𝟙 (f ≫ g) := by rw [← whiskerLeft_comp, hom_inv_id, whiskerLeft_id]
#align category_theory.bicategory.hom_inv_whisker_left CategoryTheory.Bicategory.whiskerLeft_hom_inv
@[reassoc (attr := simp)]
theorem hom_inv_whiskerRight {f g : a ⟶ b} (η : f ≅ g) (h : b ⟶ c) :
η.hom ▷ h ≫ η.inv ▷ h = 𝟙 (f ≫ h) := by rw [← comp_whiskerRight, hom_inv_id, id_whiskerRight]
#align category_theory.bicategory.hom_inv_whisker_right CategoryTheory.Bicategory.hom_inv_whiskerRight
@[reassoc (attr := simp)]
theorem whiskerLeft_inv_hom (f : a ⟶ b) {g h : b ⟶ c} (η : g ≅ h) :
f ◁ η.inv ≫ f ◁ η.hom = 𝟙 (f ≫ h) := by rw [← whiskerLeft_comp, inv_hom_id, whiskerLeft_id]
#align category_theory.bicategory.inv_hom_whisker_left CategoryTheory.Bicategory.whiskerLeft_inv_hom
@[reassoc (attr := simp)]
theorem inv_hom_whiskerRight {f g : a ⟶ b} (η : f ≅ g) (h : b ⟶ c) :
η.inv ▷ h ≫ η.hom ▷ h = 𝟙 (g ≫ h) := by rw [← comp_whiskerRight, inv_hom_id, id_whiskerRight]
#align category_theory.bicategory.inv_hom_whisker_right CategoryTheory.Bicategory.inv_hom_whiskerRight
@[simps]
def whiskerLeftIso (f : a ⟶ b) {g h : b ⟶ c} (η : g ≅ h) : f ≫ g ≅ f ≫ h where
hom := f ◁ η.hom
inv := f ◁ η.inv
#align category_theory.bicategory.whisker_left_iso CategoryTheory.Bicategory.whiskerLeftIso
instance whiskerLeft_isIso (f : a ⟶ b) {g h : b ⟶ c} (η : g ⟶ h) [IsIso η] : IsIso (f ◁ η) :=
(whiskerLeftIso f (asIso η)).isIso_hom
#align category_theory.bicategory.whisker_left_is_iso CategoryTheory.Bicategory.whiskerLeft_isIso
@[simp]
theorem inv_whiskerLeft (f : a ⟶ b) {g h : b ⟶ c} (η : g ⟶ h) [IsIso η] :
inv (f ◁ η) = f ◁ inv η := by
apply IsIso.inv_eq_of_hom_inv_id
simp only [← whiskerLeft_comp, whiskerLeft_id, IsIso.hom_inv_id]
#align category_theory.bicategory.inv_whisker_left CategoryTheory.Bicategory.inv_whiskerLeft
@[simps!]
def whiskerRightIso {f g : a ⟶ b} (η : f ≅ g) (h : b ⟶ c) : f ≫ h ≅ g ≫ h where
hom := η.hom ▷ h
inv := η.inv ▷ h
#align category_theory.bicategory.whisker_right_iso CategoryTheory.Bicategory.whiskerRightIso
instance whiskerRight_isIso {f g : a ⟶ b} (η : f ⟶ g) (h : b ⟶ c) [IsIso η] : IsIso (η ▷ h) :=
(whiskerRightIso (asIso η) h).isIso_hom
#align category_theory.bicategory.whisker_right_is_iso CategoryTheory.Bicategory.whiskerRight_isIso
@[simp]
theorem inv_whiskerRight {f g : a ⟶ b} (η : f ⟶ g) (h : b ⟶ c) [IsIso η] :
inv (η ▷ h) = inv η ▷ h := by
apply IsIso.inv_eq_of_hom_inv_id
simp only [← comp_whiskerRight, id_whiskerRight, IsIso.hom_inv_id]
#align category_theory.bicategory.inv_whisker_right CategoryTheory.Bicategory.inv_whiskerRight
@[reassoc (attr := simp)]
theorem pentagon_inv (f : a ⟶ b) (g : b ⟶ c) (h : c ⟶ d) (i : d ⟶ e) :
f ◁ (α_ g h i).inv ≫ (α_ f (g ≫ h) i).inv ≫ (α_ f g h).inv ▷ i =
(α_ f g (h ≫ i)).inv ≫ (α_ (f ≫ g) h i).inv :=
eq_of_inv_eq_inv (by simp)
#align category_theory.bicategory.pentagon_inv CategoryTheory.Bicategory.pentagon_inv
@[reassoc (attr := simp)]
theorem pentagon_inv_inv_hom_hom_inv (f : a ⟶ b) (g : b ⟶ c) (h : c ⟶ d) (i : d ⟶ e) :
(α_ f (g ≫ h) i).inv ≫ (α_ f g h).inv ▷ i ≫ (α_ (f ≫ g) h i).hom =
f ◁ (α_ g h i).hom ≫ (α_ f g (h ≫ i)).inv := by
rw [← cancel_epi (f ◁ (α_ g h i).inv), ← cancel_mono (α_ (f ≫ g) h i).inv]
simp
#align category_theory.bicategory.pentagon_inv_inv_hom_hom_inv CategoryTheory.Bicategory.pentagon_inv_inv_hom_hom_inv
@[reassoc (attr := simp)]
theorem pentagon_inv_hom_hom_hom_inv (f : a ⟶ b) (g : b ⟶ c) (h : c ⟶ d) (i : d ⟶ e) :
(α_ (f ≫ g) h i).inv ≫ (α_ f g h).hom ▷ i ≫ (α_ f (g ≫ h) i).hom =
(α_ f g (h ≫ i)).hom ≫ f ◁ (α_ g h i).inv :=
eq_of_inv_eq_inv (by simp)
#align category_theory.bicategory.pentagon_inv_hom_hom_hom_inv CategoryTheory.Bicategory.pentagon_inv_hom_hom_hom_inv
@[reassoc (attr := simp)]
| Mathlib/CategoryTheory/Bicategory/Basic.lean | 274 | 277 | theorem pentagon_hom_inv_inv_inv_inv (f : a ⟶ b) (g : b ⟶ c) (h : c ⟶ d) (i : d ⟶ e) :
f ◁ (α_ g h i).hom ≫ (α_ f g (h ≫ i)).inv ≫ (α_ (f ≫ g) h i).inv =
(α_ f (g ≫ h) i).inv ≫ (α_ f g h).inv ▷ i := by |
simp [← cancel_epi (f ◁ (α_ g h i).inv)]
|
import Mathlib.Combinatorics.Young.YoungDiagram
#align_import combinatorics.young.semistandard_tableau from "leanprover-community/mathlib"@"b363547b3113d350d053abdf2884e9850a56b205"
structure SemistandardYoungTableau (μ : YoungDiagram) where
entry : ℕ → ℕ → ℕ
row_weak' : ∀ {i j1 j2 : ℕ}, j1 < j2 → (i, j2) ∈ μ → entry i j1 ≤ entry i j2
col_strict' : ∀ {i1 i2 j : ℕ}, i1 < i2 → (i2, j) ∈ μ → entry i1 j < entry i2 j
zeros' : ∀ {i j}, (i, j) ∉ μ → entry i j = 0
#align ssyt SemistandardYoungTableau
namespace SemistandardYoungTableau
instance instFunLike {μ : YoungDiagram} : FunLike (SemistandardYoungTableau μ) ℕ (ℕ → ℕ) where
coe := SemistandardYoungTableau.entry
coe_injective' T T' h := by
cases T
cases T'
congr
#align ssyt.fun_like SemistandardYoungTableau.instFunLike
instance {μ : YoungDiagram} : CoeFun (SemistandardYoungTableau μ) fun _ ↦ ℕ → ℕ → ℕ :=
inferInstance
@[simp]
theorem to_fun_eq_coe {μ : YoungDiagram} {T : SemistandardYoungTableau μ} :
T.entry = (T : ℕ → ℕ → ℕ) :=
rfl
#align ssyt.to_fun_eq_coe SemistandardYoungTableau.to_fun_eq_coe
@[ext]
theorem ext {μ : YoungDiagram} {T T' : SemistandardYoungTableau μ} (h : ∀ i j, T i j = T' i j) :
T = T' :=
DFunLike.ext T T' fun _ ↦ by
funext
apply h
#align ssyt.ext SemistandardYoungTableau.ext
protected def copy {μ : YoungDiagram} (T : SemistandardYoungTableau μ) (entry' : ℕ → ℕ → ℕ)
(h : entry' = T) : SemistandardYoungTableau μ where
entry := entry'
row_weak' := h.symm ▸ T.row_weak'
col_strict' := h.symm ▸ T.col_strict'
zeros' := h.symm ▸ T.zeros'
#align ssyt.copy SemistandardYoungTableau.copy
@[simp]
theorem coe_copy {μ : YoungDiagram} (T : SemistandardYoungTableau μ) (entry' : ℕ → ℕ → ℕ)
(h : entry' = T) : ⇑(T.copy entry' h) = entry' :=
rfl
#align ssyt.coe_copy SemistandardYoungTableau.coe_copy
theorem copy_eq {μ : YoungDiagram} (T : SemistandardYoungTableau μ) (entry' : ℕ → ℕ → ℕ)
(h : entry' = T) : T.copy entry' h = T :=
DFunLike.ext' h
#align ssyt.copy_eq SemistandardYoungTableau.copy_eq
theorem row_weak {μ : YoungDiagram} (T : SemistandardYoungTableau μ) {i j1 j2 : ℕ} (hj : j1 < j2)
(hcell : (i, j2) ∈ μ) : T i j1 ≤ T i j2 :=
T.row_weak' hj hcell
#align ssyt.row_weak SemistandardYoungTableau.row_weak
theorem col_strict {μ : YoungDiagram} (T : SemistandardYoungTableau μ) {i1 i2 j : ℕ} (hi : i1 < i2)
(hcell : (i2, j) ∈ μ) : T i1 j < T i2 j :=
T.col_strict' hi hcell
#align ssyt.col_strict SemistandardYoungTableau.col_strict
theorem zeros {μ : YoungDiagram} (T : SemistandardYoungTableau μ) {i j : ℕ}
(not_cell : (i, j) ∉ μ) : T i j = 0 :=
T.zeros' not_cell
#align ssyt.zeros SemistandardYoungTableau.zeros
| Mathlib/Combinatorics/Young/SemistandardTableau.lean | 129 | 133 | theorem row_weak_of_le {μ : YoungDiagram} (T : SemistandardYoungTableau μ) {i j1 j2 : ℕ}
(hj : j1 ≤ j2) (cell : (i, j2) ∈ μ) : T i j1 ≤ T i j2 := by |
cases' eq_or_lt_of_le hj with h h
· rw [h]
· exact T.row_weak h cell
|
import Mathlib.Topology.Maps
import Mathlib.Topology.NhdsSet
#align_import topology.constructions from "leanprover-community/mathlib"@"f7ebde7ee0d1505dfccac8644ae12371aa3c1c9f"
noncomputable section
open scoped Classical
open Topology TopologicalSpace Set Filter Function
universe u v
variable {X : Type u} {Y : Type v} {Z W ε ζ : Type*}
section Constructions
instance instTopologicalSpaceSubtype {p : X → Prop} [t : TopologicalSpace X] :
TopologicalSpace (Subtype p) :=
induced (↑) t
instance {r : X → X → Prop} [t : TopologicalSpace X] : TopologicalSpace (Quot r) :=
coinduced (Quot.mk r) t
instance instTopologicalSpaceQuotient {s : Setoid X} [t : TopologicalSpace X] :
TopologicalSpace (Quotient s) :=
coinduced Quotient.mk' t
instance instTopologicalSpaceProd [t₁ : TopologicalSpace X] [t₂ : TopologicalSpace Y] :
TopologicalSpace (X × Y) :=
induced Prod.fst t₁ ⊓ induced Prod.snd t₂
instance instTopologicalSpaceSum [t₁ : TopologicalSpace X] [t₂ : TopologicalSpace Y] :
TopologicalSpace (X ⊕ Y) :=
coinduced Sum.inl t₁ ⊔ coinduced Sum.inr t₂
instance instTopologicalSpaceSigma {ι : Type*} {X : ι → Type v} [t₂ : ∀ i, TopologicalSpace (X i)] :
TopologicalSpace (Sigma X) :=
⨆ i, coinduced (Sigma.mk i) (t₂ i)
instance Pi.topologicalSpace {ι : Type*} {Y : ι → Type v} [t₂ : (i : ι) → TopologicalSpace (Y i)] :
TopologicalSpace ((i : ι) → Y i) :=
⨅ i, induced (fun f => f i) (t₂ i)
#align Pi.topological_space Pi.topologicalSpace
instance ULift.topologicalSpace [t : TopologicalSpace X] : TopologicalSpace (ULift.{v, u} X) :=
t.induced ULift.down
#align ulift.topological_space ULift.topologicalSpace
section
variable [TopologicalSpace X]
open Additive Multiplicative
instance : TopologicalSpace (Additive X) := ‹TopologicalSpace X›
instance : TopologicalSpace (Multiplicative X) := ‹TopologicalSpace X›
instance [DiscreteTopology X] : DiscreteTopology (Additive X) := ‹DiscreteTopology X›
instance [DiscreteTopology X] : DiscreteTopology (Multiplicative X) := ‹DiscreteTopology X›
theorem continuous_ofMul : Continuous (ofMul : X → Additive X) := continuous_id
#align continuous_of_mul continuous_ofMul
theorem continuous_toMul : Continuous (toMul : Additive X → X) := continuous_id
#align continuous_to_mul continuous_toMul
theorem continuous_ofAdd : Continuous (ofAdd : X → Multiplicative X) := continuous_id
#align continuous_of_add continuous_ofAdd
theorem continuous_toAdd : Continuous (toAdd : Multiplicative X → X) := continuous_id
#align continuous_to_add continuous_toAdd
theorem isOpenMap_ofMul : IsOpenMap (ofMul : X → Additive X) := IsOpenMap.id
#align is_open_map_of_mul isOpenMap_ofMul
theorem isOpenMap_toMul : IsOpenMap (toMul : Additive X → X) := IsOpenMap.id
#align is_open_map_to_mul isOpenMap_toMul
theorem isOpenMap_ofAdd : IsOpenMap (ofAdd : X → Multiplicative X) := IsOpenMap.id
#align is_open_map_of_add isOpenMap_ofAdd
theorem isOpenMap_toAdd : IsOpenMap (toAdd : Multiplicative X → X) := IsOpenMap.id
#align is_open_map_to_add isOpenMap_toAdd
theorem isClosedMap_ofMul : IsClosedMap (ofMul : X → Additive X) := IsClosedMap.id
#align is_closed_map_of_mul isClosedMap_ofMul
theorem isClosedMap_toMul : IsClosedMap (toMul : Additive X → X) := IsClosedMap.id
#align is_closed_map_to_mul isClosedMap_toMul
theorem isClosedMap_ofAdd : IsClosedMap (ofAdd : X → Multiplicative X) := IsClosedMap.id
#align is_closed_map_of_add isClosedMap_ofAdd
theorem isClosedMap_toAdd : IsClosedMap (toAdd : Multiplicative X → X) := IsClosedMap.id
#align is_closed_map_to_add isClosedMap_toAdd
theorem nhds_ofMul (x : X) : 𝓝 (ofMul x) = map ofMul (𝓝 x) := rfl
#align nhds_of_mul nhds_ofMul
theorem nhds_ofAdd (x : X) : 𝓝 (ofAdd x) = map ofAdd (𝓝 x) := rfl
#align nhds_of_add nhds_ofAdd
theorem nhds_toMul (x : Additive X) : 𝓝 (toMul x) = map toMul (𝓝 x) := rfl
#align nhds_to_mul nhds_toMul
theorem nhds_toAdd (x : Multiplicative X) : 𝓝 (toAdd x) = map toAdd (𝓝 x) := rfl
#align nhds_to_add nhds_toAdd
end
section
variable [TopologicalSpace X]
open OrderDual
instance : TopologicalSpace Xᵒᵈ := ‹TopologicalSpace X›
instance [DiscreteTopology X] : DiscreteTopology Xᵒᵈ := ‹DiscreteTopology X›
theorem continuous_toDual : Continuous (toDual : X → Xᵒᵈ) := continuous_id
#align continuous_to_dual continuous_toDual
theorem continuous_ofDual : Continuous (ofDual : Xᵒᵈ → X) := continuous_id
#align continuous_of_dual continuous_ofDual
theorem isOpenMap_toDual : IsOpenMap (toDual : X → Xᵒᵈ) := IsOpenMap.id
#align is_open_map_to_dual isOpenMap_toDual
theorem isOpenMap_ofDual : IsOpenMap (ofDual : Xᵒᵈ → X) := IsOpenMap.id
#align is_open_map_of_dual isOpenMap_ofDual
theorem isClosedMap_toDual : IsClosedMap (toDual : X → Xᵒᵈ) := IsClosedMap.id
#align is_closed_map_to_dual isClosedMap_toDual
theorem isClosedMap_ofDual : IsClosedMap (ofDual : Xᵒᵈ → X) := IsClosedMap.id
#align is_closed_map_of_dual isClosedMap_ofDual
theorem nhds_toDual (x : X) : 𝓝 (toDual x) = map toDual (𝓝 x) := rfl
#align nhds_to_dual nhds_toDual
theorem nhds_ofDual (x : X) : 𝓝 (ofDual x) = map ofDual (𝓝 x) := rfl
#align nhds_of_dual nhds_ofDual
end
theorem Quotient.preimage_mem_nhds [TopologicalSpace X] [s : Setoid X] {V : Set <| Quotient s}
{x : X} (hs : V ∈ 𝓝 (Quotient.mk' x)) : Quotient.mk' ⁻¹' V ∈ 𝓝 x :=
preimage_nhds_coinduced hs
#align quotient.preimage_mem_nhds Quotient.preimage_mem_nhds
theorem Dense.quotient [Setoid X] [TopologicalSpace X] {s : Set X} (H : Dense s) :
Dense (Quotient.mk' '' s) :=
Quotient.surjective_Quotient_mk''.denseRange.dense_image continuous_coinduced_rng H
#align dense.quotient Dense.quotient
theorem DenseRange.quotient [Setoid X] [TopologicalSpace X] {f : Y → X} (hf : DenseRange f) :
DenseRange (Quotient.mk' ∘ f) :=
Quotient.surjective_Quotient_mk''.denseRange.comp hf continuous_coinduced_rng
#align dense_range.quotient DenseRange.quotient
theorem continuous_map_of_le {α : Type*} [TopologicalSpace α]
{s t : Setoid α} (h : s ≤ t) : Continuous (Setoid.map_of_le h) :=
continuous_coinduced_rng
theorem continuous_map_sInf {α : Type*} [TopologicalSpace α]
{S : Set (Setoid α)} {s : Setoid α} (h : s ∈ S) : Continuous (Setoid.map_sInf h) :=
continuous_coinduced_rng
instance {p : X → Prop} [TopologicalSpace X] [DiscreteTopology X] : DiscreteTopology (Subtype p) :=
⟨bot_unique fun s _ => ⟨(↑) '' s, isOpen_discrete _, preimage_image_eq _ Subtype.val_injective⟩⟩
instance Sum.discreteTopology [TopologicalSpace X] [TopologicalSpace Y] [h : DiscreteTopology X]
[hY : DiscreteTopology Y] : DiscreteTopology (X ⊕ Y) :=
⟨sup_eq_bot_iff.2 <| by simp [h.eq_bot, hY.eq_bot]⟩
#align sum.discrete_topology Sum.discreteTopology
instance Sigma.discreteTopology {ι : Type*} {Y : ι → Type v} [∀ i, TopologicalSpace (Y i)]
[h : ∀ i, DiscreteTopology (Y i)] : DiscreteTopology (Sigma Y) :=
⟨iSup_eq_bot.2 fun _ => by simp only [(h _).eq_bot, coinduced_bot]⟩
#align sigma.discrete_topology Sigma.discreteTopology
def CofiniteTopology (X : Type*) := X
#align cofinite_topology CofiniteTopology
section Sigma
variable {ι κ : Type*} {σ : ι → Type*} {τ : κ → Type*} [∀ i, TopologicalSpace (σ i)]
[∀ k, TopologicalSpace (τ k)] [TopologicalSpace X]
@[continuity]
theorem continuous_sigmaMk {i : ι} : Continuous (@Sigma.mk ι σ i) :=
continuous_iSup_rng continuous_coinduced_rng
#align continuous_sigma_mk continuous_sigmaMk
-- Porting note: the proof was `by simp only [isOpen_iSup_iff, isOpen_coinduced]`
theorem isOpen_sigma_iff {s : Set (Sigma σ)} : IsOpen s ↔ ∀ i, IsOpen (Sigma.mk i ⁻¹' s) := by
delta instTopologicalSpaceSigma
rw [isOpen_iSup_iff]
rfl
#align is_open_sigma_iff isOpen_sigma_iff
theorem isClosed_sigma_iff {s : Set (Sigma σ)} : IsClosed s ↔ ∀ i, IsClosed (Sigma.mk i ⁻¹' s) := by
simp only [← isOpen_compl_iff, isOpen_sigma_iff, preimage_compl]
#align is_closed_sigma_iff isClosed_sigma_iff
theorem isOpenMap_sigmaMk {i : ι} : IsOpenMap (@Sigma.mk ι σ i) := by
intro s hs
rw [isOpen_sigma_iff]
intro j
rcases eq_or_ne j i with (rfl | hne)
· rwa [preimage_image_eq _ sigma_mk_injective]
· rw [preimage_image_sigmaMk_of_ne hne]
exact isOpen_empty
#align is_open_map_sigma_mk isOpenMap_sigmaMk
theorem isOpen_range_sigmaMk {i : ι} : IsOpen (range (@Sigma.mk ι σ i)) :=
isOpenMap_sigmaMk.isOpen_range
#align is_open_range_sigma_mk isOpen_range_sigmaMk
theorem isClosedMap_sigmaMk {i : ι} : IsClosedMap (@Sigma.mk ι σ i) := by
intro s hs
rw [isClosed_sigma_iff]
intro j
rcases eq_or_ne j i with (rfl | hne)
· rwa [preimage_image_eq _ sigma_mk_injective]
· rw [preimage_image_sigmaMk_of_ne hne]
exact isClosed_empty
#align is_closed_map_sigma_mk isClosedMap_sigmaMk
theorem isClosed_range_sigmaMk {i : ι} : IsClosed (range (@Sigma.mk ι σ i)) :=
isClosedMap_sigmaMk.isClosed_range
#align is_closed_range_sigma_mk isClosed_range_sigmaMk
theorem openEmbedding_sigmaMk {i : ι} : OpenEmbedding (@Sigma.mk ι σ i) :=
openEmbedding_of_continuous_injective_open continuous_sigmaMk sigma_mk_injective
isOpenMap_sigmaMk
#align open_embedding_sigma_mk openEmbedding_sigmaMk
theorem closedEmbedding_sigmaMk {i : ι} : ClosedEmbedding (@Sigma.mk ι σ i) :=
closedEmbedding_of_continuous_injective_closed continuous_sigmaMk sigma_mk_injective
isClosedMap_sigmaMk
#align closed_embedding_sigma_mk closedEmbedding_sigmaMk
theorem embedding_sigmaMk {i : ι} : Embedding (@Sigma.mk ι σ i) :=
closedEmbedding_sigmaMk.1
#align embedding_sigma_mk embedding_sigmaMk
theorem Sigma.nhds_mk (i : ι) (x : σ i) : 𝓝 (⟨i, x⟩ : Sigma σ) = Filter.map (Sigma.mk i) (𝓝 x) :=
(openEmbedding_sigmaMk.map_nhds_eq x).symm
#align sigma.nhds_mk Sigma.nhds_mk
theorem Sigma.nhds_eq (x : Sigma σ) : 𝓝 x = Filter.map (Sigma.mk x.1) (𝓝 x.2) := by
cases x
apply Sigma.nhds_mk
#align sigma.nhds_eq Sigma.nhds_eq
theorem comap_sigmaMk_nhds (i : ι) (x : σ i) : comap (Sigma.mk i) (𝓝 ⟨i, x⟩) = 𝓝 x :=
(embedding_sigmaMk.nhds_eq_comap _).symm
#align comap_sigma_mk_nhds comap_sigmaMk_nhds
theorem isOpen_sigma_fst_preimage (s : Set ι) : IsOpen (Sigma.fst ⁻¹' s : Set (Σ a, σ a)) := by
rw [← biUnion_of_singleton s, preimage_iUnion₂]
simp only [← range_sigmaMk]
exact isOpen_biUnion fun _ _ => isOpen_range_sigmaMk
#align is_open_sigma_fst_preimage isOpen_sigma_fst_preimage
@[simp]
theorem continuous_sigma_iff {f : Sigma σ → X} :
Continuous f ↔ ∀ i, Continuous fun a => f ⟨i, a⟩ := by
delta instTopologicalSpaceSigma
rw [continuous_iSup_dom]
exact forall_congr' fun _ => continuous_coinduced_dom
#align continuous_sigma_iff continuous_sigma_iff
@[continuity]
theorem continuous_sigma {f : Sigma σ → X} (hf : ∀ i, Continuous fun a => f ⟨i, a⟩) :
Continuous f :=
continuous_sigma_iff.2 hf
#align continuous_sigma continuous_sigma
theorem inducing_sigma {f : Sigma σ → X} :
Inducing f ↔ (∀ i, Inducing (f ∘ Sigma.mk i)) ∧
(∀ i, ∃ U, IsOpen U ∧ ∀ x, f x ∈ U ↔ x.1 = i) := by
refine ⟨fun h ↦ ⟨fun i ↦ h.comp embedding_sigmaMk.1, fun i ↦ ?_⟩, ?_⟩
· rcases h.isOpen_iff.1 (isOpen_range_sigmaMk (i := i)) with ⟨U, hUo, hU⟩
refine ⟨U, hUo, ?_⟩
simpa [ext_iff] using hU
· refine fun ⟨h₁, h₂⟩ ↦ inducing_iff_nhds.2 fun ⟨i, x⟩ ↦ ?_
rw [Sigma.nhds_mk, (h₁ i).nhds_eq_comap, comp_apply, ← comap_comap, map_comap_of_mem]
rcases h₂ i with ⟨U, hUo, hU⟩
filter_upwards [preimage_mem_comap <| hUo.mem_nhds <| (hU _).2 rfl] with y hy
simpa [hU] using hy
@[simp 1100]
theorem continuous_sigma_map {f₁ : ι → κ} {f₂ : ∀ i, σ i → τ (f₁ i)} :
Continuous (Sigma.map f₁ f₂) ↔ ∀ i, Continuous (f₂ i) :=
continuous_sigma_iff.trans <| by simp only [Sigma.map, embedding_sigmaMk.continuous_iff, comp]
#align continuous_sigma_map continuous_sigma_map
@[continuity]
theorem Continuous.sigma_map {f₁ : ι → κ} {f₂ : ∀ i, σ i → τ (f₁ i)} (hf : ∀ i, Continuous (f₂ i)) :
Continuous (Sigma.map f₁ f₂) :=
continuous_sigma_map.2 hf
#align continuous.sigma_map Continuous.sigma_map
theorem isOpenMap_sigma {f : Sigma σ → X} : IsOpenMap f ↔ ∀ i, IsOpenMap fun a => f ⟨i, a⟩ := by
simp only [isOpenMap_iff_nhds_le, Sigma.forall, Sigma.nhds_eq, map_map, comp]
#align is_open_map_sigma isOpenMap_sigma
theorem isOpenMap_sigma_map {f₁ : ι → κ} {f₂ : ∀ i, σ i → τ (f₁ i)} :
IsOpenMap (Sigma.map f₁ f₂) ↔ ∀ i, IsOpenMap (f₂ i) :=
isOpenMap_sigma.trans <|
forall_congr' fun i => (@openEmbedding_sigmaMk _ _ _ (f₁ i)).isOpenMap_iff.symm
#align is_open_map_sigma_map isOpenMap_sigma_map
theorem inducing_sigma_map {f₁ : ι → κ} {f₂ : ∀ i, σ i → τ (f₁ i)} (h₁ : Injective f₁) :
Inducing (Sigma.map f₁ f₂) ↔ ∀ i, Inducing (f₂ i) := by
simp only [inducing_iff_nhds, Sigma.forall, Sigma.nhds_mk, Sigma.map_mk, ← map_sigma_mk_comap h₁,
map_inj sigma_mk_injective]
#align inducing_sigma_map inducing_sigma_map
theorem embedding_sigma_map {f₁ : ι → κ} {f₂ : ∀ i, σ i → τ (f₁ i)} (h : Injective f₁) :
Embedding (Sigma.map f₁ f₂) ↔ ∀ i, Embedding (f₂ i) := by
simp only [embedding_iff, Injective.sigma_map, inducing_sigma_map h, forall_and, h.sigma_map_iff]
#align embedding_sigma_map embedding_sigma_map
| Mathlib/Topology/Constructions.lean | 1,717 | 1,720 | theorem openEmbedding_sigma_map {f₁ : ι → κ} {f₂ : ∀ i, σ i → τ (f₁ i)} (h : Injective f₁) :
OpenEmbedding (Sigma.map f₁ f₂) ↔ ∀ i, OpenEmbedding (f₂ i) := by |
simp only [openEmbedding_iff_embedding_open, isOpenMap_sigma_map, embedding_sigma_map h,
forall_and]
|
import Mathlib.Logic.Pairwise
import Mathlib.Order.CompleteBooleanAlgebra
import Mathlib.Order.Directed
import Mathlib.Order.GaloisConnection
#align_import data.set.lattice from "leanprover-community/mathlib"@"b86832321b586c6ac23ef8cdef6a7a27e42b13bd"
open Function Set
universe u
variable {α β γ : Type*} {ι ι' ι₂ : Sort*} {κ κ₁ κ₂ : ι → Sort*} {κ' : ι' → Sort*}
namespace Set
theorem mem_iUnion₂ {x : γ} {s : ∀ i, κ i → Set γ} : (x ∈ ⋃ (i) (j), s i j) ↔ ∃ i j, x ∈ s i j := by
simp_rw [mem_iUnion]
#align set.mem_Union₂ Set.mem_iUnion₂
theorem mem_iInter₂ {x : γ} {s : ∀ i, κ i → Set γ} : (x ∈ ⋂ (i) (j), s i j) ↔ ∀ i j, x ∈ s i j := by
simp_rw [mem_iInter]
#align set.mem_Inter₂ Set.mem_iInter₂
theorem mem_iUnion_of_mem {s : ι → Set α} {a : α} (i : ι) (ha : a ∈ s i) : a ∈ ⋃ i, s i :=
mem_iUnion.2 ⟨i, ha⟩
#align set.mem_Union_of_mem Set.mem_iUnion_of_mem
theorem mem_iUnion₂_of_mem {s : ∀ i, κ i → Set α} {a : α} {i : ι} (j : κ i) (ha : a ∈ s i j) :
a ∈ ⋃ (i) (j), s i j :=
mem_iUnion₂.2 ⟨i, j, ha⟩
#align set.mem_Union₂_of_mem Set.mem_iUnion₂_of_mem
theorem mem_iInter_of_mem {s : ι → Set α} {a : α} (h : ∀ i, a ∈ s i) : a ∈ ⋂ i, s i :=
mem_iInter.2 h
#align set.mem_Inter_of_mem Set.mem_iInter_of_mem
theorem mem_iInter₂_of_mem {s : ∀ i, κ i → Set α} {a : α} (h : ∀ i j, a ∈ s i j) :
a ∈ ⋂ (i) (j), s i j :=
mem_iInter₂.2 h
#align set.mem_Inter₂_of_mem Set.mem_iInter₂_of_mem
instance completeAtomicBooleanAlgebra : CompleteAtomicBooleanAlgebra (Set α) :=
{ instBooleanAlgebraSet with
le_sSup := fun s t t_in a a_in => ⟨t, t_in, a_in⟩
sSup_le := fun s t h a ⟨t', ⟨t'_in, a_in⟩⟩ => h t' t'_in a_in
le_sInf := fun s t h a a_in t' t'_in => h t' t'_in a_in
sInf_le := fun s t t_in a h => h _ t_in
iInf_iSup_eq := by intros; ext; simp [Classical.skolem] }
instance : OrderTop (Set α) where
top := univ
le_top := by simp
@[congr]
theorem iUnion_congr_Prop {p q : Prop} {f₁ : p → Set α} {f₂ : q → Set α} (pq : p ↔ q)
(f : ∀ x, f₁ (pq.mpr x) = f₂ x) : iUnion f₁ = iUnion f₂ :=
iSup_congr_Prop pq f
#align set.Union_congr_Prop Set.iUnion_congr_Prop
@[congr]
theorem iInter_congr_Prop {p q : Prop} {f₁ : p → Set α} {f₂ : q → Set α} (pq : p ↔ q)
(f : ∀ x, f₁ (pq.mpr x) = f₂ x) : iInter f₁ = iInter f₂ :=
iInf_congr_Prop pq f
#align set.Inter_congr_Prop Set.iInter_congr_Prop
theorem iUnion_plift_up (f : PLift ι → Set α) : ⋃ i, f (PLift.up i) = ⋃ i, f i :=
iSup_plift_up _
#align set.Union_plift_up Set.iUnion_plift_up
theorem iUnion_plift_down (f : ι → Set α) : ⋃ i, f (PLift.down i) = ⋃ i, f i :=
iSup_plift_down _
#align set.Union_plift_down Set.iUnion_plift_down
theorem iInter_plift_up (f : PLift ι → Set α) : ⋂ i, f (PLift.up i) = ⋂ i, f i :=
iInf_plift_up _
#align set.Inter_plift_up Set.iInter_plift_up
theorem iInter_plift_down (f : ι → Set α) : ⋂ i, f (PLift.down i) = ⋂ i, f i :=
iInf_plift_down _
#align set.Inter_plift_down Set.iInter_plift_down
theorem iUnion_eq_if {p : Prop} [Decidable p] (s : Set α) : ⋃ _ : p, s = if p then s else ∅ :=
iSup_eq_if _
#align set.Union_eq_if Set.iUnion_eq_if
theorem iUnion_eq_dif {p : Prop} [Decidable p] (s : p → Set α) :
⋃ h : p, s h = if h : p then s h else ∅ :=
iSup_eq_dif _
#align set.Union_eq_dif Set.iUnion_eq_dif
theorem iInter_eq_if {p : Prop} [Decidable p] (s : Set α) : ⋂ _ : p, s = if p then s else univ :=
iInf_eq_if _
#align set.Inter_eq_if Set.iInter_eq_if
theorem iInf_eq_dif {p : Prop} [Decidable p] (s : p → Set α) :
⋂ h : p, s h = if h : p then s h else univ :=
_root_.iInf_eq_dif _
#align set.Infi_eq_dif Set.iInf_eq_dif
theorem exists_set_mem_of_union_eq_top {ι : Type*} (t : Set ι) (s : ι → Set β)
(w : ⋃ i ∈ t, s i = ⊤) (x : β) : ∃ i ∈ t, x ∈ s i := by
have p : x ∈ ⊤ := Set.mem_univ x
rw [← w, Set.mem_iUnion] at p
simpa using p
#align set.exists_set_mem_of_union_eq_top Set.exists_set_mem_of_union_eq_top
theorem nonempty_of_union_eq_top_of_nonempty {ι : Type*} (t : Set ι) (s : ι → Set α)
(H : Nonempty α) (w : ⋃ i ∈ t, s i = ⊤) : t.Nonempty := by
obtain ⟨x, m, -⟩ := exists_set_mem_of_union_eq_top t s w H.some
exact ⟨x, m⟩
#align set.nonempty_of_union_eq_top_of_nonempty Set.nonempty_of_union_eq_top_of_nonempty
theorem nonempty_of_nonempty_iUnion
{s : ι → Set α} (h_Union : (⋃ i, s i).Nonempty) : Nonempty ι := by
obtain ⟨x, hx⟩ := h_Union
exact ⟨Classical.choose <| mem_iUnion.mp hx⟩
theorem nonempty_of_nonempty_iUnion_eq_univ
{s : ι → Set α} [Nonempty α] (h_Union : ⋃ i, s i = univ) : Nonempty ι :=
nonempty_of_nonempty_iUnion (s := s) (by simpa only [h_Union] using univ_nonempty)
theorem setOf_exists (p : ι → β → Prop) : { x | ∃ i, p i x } = ⋃ i, { x | p i x } :=
ext fun _ => mem_iUnion.symm
#align set.set_of_exists Set.setOf_exists
theorem setOf_forall (p : ι → β → Prop) : { x | ∀ i, p i x } = ⋂ i, { x | p i x } :=
ext fun _ => mem_iInter.symm
#align set.set_of_forall Set.setOf_forall
theorem iUnion_subset {s : ι → Set α} {t : Set α} (h : ∀ i, s i ⊆ t) : ⋃ i, s i ⊆ t :=
iSup_le h
#align set.Union_subset Set.iUnion_subset
theorem iUnion₂_subset {s : ∀ i, κ i → Set α} {t : Set α} (h : ∀ i j, s i j ⊆ t) :
⋃ (i) (j), s i j ⊆ t :=
iUnion_subset fun x => iUnion_subset (h x)
#align set.Union₂_subset Set.iUnion₂_subset
theorem subset_iInter {t : Set β} {s : ι → Set β} (h : ∀ i, t ⊆ s i) : t ⊆ ⋂ i, s i :=
le_iInf h
#align set.subset_Inter Set.subset_iInter
theorem subset_iInter₂ {s : Set α} {t : ∀ i, κ i → Set α} (h : ∀ i j, s ⊆ t i j) :
s ⊆ ⋂ (i) (j), t i j :=
subset_iInter fun x => subset_iInter <| h x
#align set.subset_Inter₂ Set.subset_iInter₂
@[simp]
theorem iUnion_subset_iff {s : ι → Set α} {t : Set α} : ⋃ i, s i ⊆ t ↔ ∀ i, s i ⊆ t :=
⟨fun h _ => Subset.trans (le_iSup s _) h, iUnion_subset⟩
#align set.Union_subset_iff Set.iUnion_subset_iff
theorem iUnion₂_subset_iff {s : ∀ i, κ i → Set α} {t : Set α} :
⋃ (i) (j), s i j ⊆ t ↔ ∀ i j, s i j ⊆ t := by simp_rw [iUnion_subset_iff]
#align set.Union₂_subset_iff Set.iUnion₂_subset_iff
@[simp]
theorem subset_iInter_iff {s : Set α} {t : ι → Set α} : (s ⊆ ⋂ i, t i) ↔ ∀ i, s ⊆ t i :=
le_iInf_iff
#align set.subset_Inter_iff Set.subset_iInter_iff
-- Porting note (#10618): removing `simp`. `simp` can prove it
theorem subset_iInter₂_iff {s : Set α} {t : ∀ i, κ i → Set α} :
(s ⊆ ⋂ (i) (j), t i j) ↔ ∀ i j, s ⊆ t i j := by simp_rw [subset_iInter_iff]
#align set.subset_Inter₂_iff Set.subset_iInter₂_iff
theorem subset_iUnion : ∀ (s : ι → Set β) (i : ι), s i ⊆ ⋃ i, s i :=
le_iSup
#align set.subset_Union Set.subset_iUnion
theorem iInter_subset : ∀ (s : ι → Set β) (i : ι), ⋂ i, s i ⊆ s i :=
iInf_le
#align set.Inter_subset Set.iInter_subset
theorem subset_iUnion₂ {s : ∀ i, κ i → Set α} (i : ι) (j : κ i) : s i j ⊆ ⋃ (i') (j'), s i' j' :=
le_iSup₂ i j
#align set.subset_Union₂ Set.subset_iUnion₂
theorem iInter₂_subset {s : ∀ i, κ i → Set α} (i : ι) (j : κ i) : ⋂ (i) (j), s i j ⊆ s i j :=
iInf₂_le i j
#align set.Inter₂_subset Set.iInter₂_subset
theorem subset_iUnion_of_subset {s : Set α} {t : ι → Set α} (i : ι) (h : s ⊆ t i) : s ⊆ ⋃ i, t i :=
le_iSup_of_le i h
#align set.subset_Union_of_subset Set.subset_iUnion_of_subset
theorem iInter_subset_of_subset {s : ι → Set α} {t : Set α} (i : ι) (h : s i ⊆ t) :
⋂ i, s i ⊆ t :=
iInf_le_of_le i h
#align set.Inter_subset_of_subset Set.iInter_subset_of_subset
theorem subset_iUnion₂_of_subset {s : Set α} {t : ∀ i, κ i → Set α} (i : ι) (j : κ i)
(h : s ⊆ t i j) : s ⊆ ⋃ (i) (j), t i j :=
le_iSup₂_of_le i j h
#align set.subset_Union₂_of_subset Set.subset_iUnion₂_of_subset
theorem iInter₂_subset_of_subset {s : ∀ i, κ i → Set α} {t : Set α} (i : ι) (j : κ i)
(h : s i j ⊆ t) : ⋂ (i) (j), s i j ⊆ t :=
iInf₂_le_of_le i j h
#align set.Inter₂_subset_of_subset Set.iInter₂_subset_of_subset
theorem iUnion_mono {s t : ι → Set α} (h : ∀ i, s i ⊆ t i) : ⋃ i, s i ⊆ ⋃ i, t i :=
iSup_mono h
#align set.Union_mono Set.iUnion_mono
@[gcongr]
theorem iUnion_mono'' {s t : ι → Set α} (h : ∀ i, s i ⊆ t i) : iUnion s ⊆ iUnion t :=
iSup_mono h
theorem iUnion₂_mono {s t : ∀ i, κ i → Set α} (h : ∀ i j, s i j ⊆ t i j) :
⋃ (i) (j), s i j ⊆ ⋃ (i) (j), t i j :=
iSup₂_mono h
#align set.Union₂_mono Set.iUnion₂_mono
theorem iInter_mono {s t : ι → Set α} (h : ∀ i, s i ⊆ t i) : ⋂ i, s i ⊆ ⋂ i, t i :=
iInf_mono h
#align set.Inter_mono Set.iInter_mono
@[gcongr]
theorem iInter_mono'' {s t : ι → Set α} (h : ∀ i, s i ⊆ t i) : iInter s ⊆ iInter t :=
iInf_mono h
theorem iInter₂_mono {s t : ∀ i, κ i → Set α} (h : ∀ i j, s i j ⊆ t i j) :
⋂ (i) (j), s i j ⊆ ⋂ (i) (j), t i j :=
iInf₂_mono h
#align set.Inter₂_mono Set.iInter₂_mono
theorem iUnion_mono' {s : ι → Set α} {t : ι₂ → Set α} (h : ∀ i, ∃ j, s i ⊆ t j) :
⋃ i, s i ⊆ ⋃ i, t i :=
iSup_mono' h
#align set.Union_mono' Set.iUnion_mono'
theorem iUnion₂_mono' {s : ∀ i, κ i → Set α} {t : ∀ i', κ' i' → Set α}
(h : ∀ i j, ∃ i' j', s i j ⊆ t i' j') : ⋃ (i) (j), s i j ⊆ ⋃ (i') (j'), t i' j' :=
iSup₂_mono' h
#align set.Union₂_mono' Set.iUnion₂_mono'
theorem iInter_mono' {s : ι → Set α} {t : ι' → Set α} (h : ∀ j, ∃ i, s i ⊆ t j) :
⋂ i, s i ⊆ ⋂ j, t j :=
Set.subset_iInter fun j =>
let ⟨i, hi⟩ := h j
iInter_subset_of_subset i hi
#align set.Inter_mono' Set.iInter_mono'
theorem iInter₂_mono' {s : ∀ i, κ i → Set α} {t : ∀ i', κ' i' → Set α}
(h : ∀ i' j', ∃ i j, s i j ⊆ t i' j') : ⋂ (i) (j), s i j ⊆ ⋂ (i') (j'), t i' j' :=
subset_iInter₂_iff.2 fun i' j' =>
let ⟨_, _, hst⟩ := h i' j'
(iInter₂_subset _ _).trans hst
#align set.Inter₂_mono' Set.iInter₂_mono'
theorem iUnion₂_subset_iUnion (κ : ι → Sort*) (s : ι → Set α) :
⋃ (i) (_ : κ i), s i ⊆ ⋃ i, s i :=
iUnion_mono fun _ => iUnion_subset fun _ => Subset.rfl
#align set.Union₂_subset_Union Set.iUnion₂_subset_iUnion
theorem iInter_subset_iInter₂ (κ : ι → Sort*) (s : ι → Set α) :
⋂ i, s i ⊆ ⋂ (i) (_ : κ i), s i :=
iInter_mono fun _ => subset_iInter fun _ => Subset.rfl
#align set.Inter_subset_Inter₂ Set.iInter_subset_iInter₂
theorem iUnion_setOf (P : ι → α → Prop) : ⋃ i, { x : α | P i x } = { x : α | ∃ i, P i x } := by
ext
exact mem_iUnion
#align set.Union_set_of Set.iUnion_setOf
theorem iInter_setOf (P : ι → α → Prop) : ⋂ i, { x : α | P i x } = { x : α | ∀ i, P i x } := by
ext
exact mem_iInter
#align set.Inter_set_of Set.iInter_setOf
theorem iUnion_congr_of_surjective {f : ι → Set α} {g : ι₂ → Set α} (h : ι → ι₂) (h1 : Surjective h)
(h2 : ∀ x, g (h x) = f x) : ⋃ x, f x = ⋃ y, g y :=
h1.iSup_congr h h2
#align set.Union_congr_of_surjective Set.iUnion_congr_of_surjective
theorem iInter_congr_of_surjective {f : ι → Set α} {g : ι₂ → Set α} (h : ι → ι₂) (h1 : Surjective h)
(h2 : ∀ x, g (h x) = f x) : ⋂ x, f x = ⋂ y, g y :=
h1.iInf_congr h h2
#align set.Inter_congr_of_surjective Set.iInter_congr_of_surjective
lemma iUnion_congr {s t : ι → Set α} (h : ∀ i, s i = t i) : ⋃ i, s i = ⋃ i, t i := iSup_congr h
#align set.Union_congr Set.iUnion_congr
lemma iInter_congr {s t : ι → Set α} (h : ∀ i, s i = t i) : ⋂ i, s i = ⋂ i, t i := iInf_congr h
#align set.Inter_congr Set.iInter_congr
lemma iUnion₂_congr {s t : ∀ i, κ i → Set α} (h : ∀ i j, s i j = t i j) :
⋃ (i) (j), s i j = ⋃ (i) (j), t i j :=
iUnion_congr fun i => iUnion_congr <| h i
#align set.Union₂_congr Set.iUnion₂_congr
lemma iInter₂_congr {s t : ∀ i, κ i → Set α} (h : ∀ i j, s i j = t i j) :
⋂ (i) (j), s i j = ⋂ (i) (j), t i j :=
iInter_congr fun i => iInter_congr <| h i
#align set.Inter₂_congr Set.iInter₂_congr
@[simp]
theorem compl_iUnion (s : ι → Set β) : (⋃ i, s i)ᶜ = ⋂ i, (s i)ᶜ :=
compl_iSup
#align set.compl_Union Set.compl_iUnion
theorem compl_iUnion₂ (s : ∀ i, κ i → Set α) : (⋃ (i) (j), s i j)ᶜ = ⋂ (i) (j), (s i j)ᶜ := by
simp_rw [compl_iUnion]
#align set.compl_Union₂ Set.compl_iUnion₂
@[simp]
theorem compl_iInter (s : ι → Set β) : (⋂ i, s i)ᶜ = ⋃ i, (s i)ᶜ :=
compl_iInf
#align set.compl_Inter Set.compl_iInter
theorem compl_iInter₂ (s : ∀ i, κ i → Set α) : (⋂ (i) (j), s i j)ᶜ = ⋃ (i) (j), (s i j)ᶜ := by
simp_rw [compl_iInter]
#align set.compl_Inter₂ Set.compl_iInter₂
-- classical -- complete_boolean_algebra
theorem iUnion_eq_compl_iInter_compl (s : ι → Set β) : ⋃ i, s i = (⋂ i, (s i)ᶜ)ᶜ := by
simp only [compl_iInter, compl_compl]
#align set.Union_eq_compl_Inter_compl Set.iUnion_eq_compl_iInter_compl
-- classical -- complete_boolean_algebra
theorem iInter_eq_compl_iUnion_compl (s : ι → Set β) : ⋂ i, s i = (⋃ i, (s i)ᶜ)ᶜ := by
simp only [compl_iUnion, compl_compl]
#align set.Inter_eq_compl_Union_compl Set.iInter_eq_compl_iUnion_compl
theorem inter_iUnion (s : Set β) (t : ι → Set β) : (s ∩ ⋃ i, t i) = ⋃ i, s ∩ t i :=
inf_iSup_eq _ _
#align set.inter_Union Set.inter_iUnion
theorem iUnion_inter (s : Set β) (t : ι → Set β) : (⋃ i, t i) ∩ s = ⋃ i, t i ∩ s :=
iSup_inf_eq _ _
#align set.Union_inter Set.iUnion_inter
theorem iUnion_union_distrib (s : ι → Set β) (t : ι → Set β) :
⋃ i, s i ∪ t i = (⋃ i, s i) ∪ ⋃ i, t i :=
iSup_sup_eq
#align set.Union_union_distrib Set.iUnion_union_distrib
theorem iInter_inter_distrib (s : ι → Set β) (t : ι → Set β) :
⋂ i, s i ∩ t i = (⋂ i, s i) ∩ ⋂ i, t i :=
iInf_inf_eq
#align set.Inter_inter_distrib Set.iInter_inter_distrib
theorem union_iUnion [Nonempty ι] (s : Set β) (t : ι → Set β) : (s ∪ ⋃ i, t i) = ⋃ i, s ∪ t i :=
sup_iSup
#align set.union_Union Set.union_iUnion
theorem iUnion_union [Nonempty ι] (s : Set β) (t : ι → Set β) : (⋃ i, t i) ∪ s = ⋃ i, t i ∪ s :=
iSup_sup
#align set.Union_union Set.iUnion_union
theorem inter_iInter [Nonempty ι] (s : Set β) (t : ι → Set β) : (s ∩ ⋂ i, t i) = ⋂ i, s ∩ t i :=
inf_iInf
#align set.inter_Inter Set.inter_iInter
theorem iInter_inter [Nonempty ι] (s : Set β) (t : ι → Set β) : (⋂ i, t i) ∩ s = ⋂ i, t i ∩ s :=
iInf_inf
#align set.Inter_inter Set.iInter_inter
-- classical
theorem union_iInter (s : Set β) (t : ι → Set β) : (s ∪ ⋂ i, t i) = ⋂ i, s ∪ t i :=
sup_iInf_eq _ _
#align set.union_Inter Set.union_iInter
theorem iInter_union (s : ι → Set β) (t : Set β) : (⋂ i, s i) ∪ t = ⋂ i, s i ∪ t :=
iInf_sup_eq _ _
#align set.Inter_union Set.iInter_union
theorem iUnion_diff (s : Set β) (t : ι → Set β) : (⋃ i, t i) \ s = ⋃ i, t i \ s :=
iUnion_inter _ _
#align set.Union_diff Set.iUnion_diff
theorem diff_iUnion [Nonempty ι] (s : Set β) (t : ι → Set β) : (s \ ⋃ i, t i) = ⋂ i, s \ t i := by
rw [diff_eq, compl_iUnion, inter_iInter]; rfl
#align set.diff_Union Set.diff_iUnion
theorem diff_iInter (s : Set β) (t : ι → Set β) : (s \ ⋂ i, t i) = ⋃ i, s \ t i := by
rw [diff_eq, compl_iInter, inter_iUnion]; rfl
#align set.diff_Inter Set.diff_iInter
theorem iUnion_inter_subset {ι α} {s t : ι → Set α} : ⋃ i, s i ∩ t i ⊆ (⋃ i, s i) ∩ ⋃ i, t i :=
le_iSup_inf_iSup s t
#align set.Union_inter_subset Set.iUnion_inter_subset
theorem iUnion_inter_of_monotone {ι α} [Preorder ι] [IsDirected ι (· ≤ ·)] {s t : ι → Set α}
(hs : Monotone s) (ht : Monotone t) : ⋃ i, s i ∩ t i = (⋃ i, s i) ∩ ⋃ i, t i :=
iSup_inf_of_monotone hs ht
#align set.Union_inter_of_monotone Set.iUnion_inter_of_monotone
theorem iUnion_inter_of_antitone {ι α} [Preorder ι] [IsDirected ι (swap (· ≤ ·))] {s t : ι → Set α}
(hs : Antitone s) (ht : Antitone t) : ⋃ i, s i ∩ t i = (⋃ i, s i) ∩ ⋃ i, t i :=
iSup_inf_of_antitone hs ht
#align set.Union_inter_of_antitone Set.iUnion_inter_of_antitone
theorem iInter_union_of_monotone {ι α} [Preorder ι] [IsDirected ι (swap (· ≤ ·))] {s t : ι → Set α}
(hs : Monotone s) (ht : Monotone t) : ⋂ i, s i ∪ t i = (⋂ i, s i) ∪ ⋂ i, t i :=
iInf_sup_of_monotone hs ht
#align set.Inter_union_of_monotone Set.iInter_union_of_monotone
theorem iInter_union_of_antitone {ι α} [Preorder ι] [IsDirected ι (· ≤ ·)] {s t : ι → Set α}
(hs : Antitone s) (ht : Antitone t) : ⋂ i, s i ∪ t i = (⋂ i, s i) ∪ ⋂ i, t i :=
iInf_sup_of_antitone hs ht
#align set.Inter_union_of_antitone Set.iInter_union_of_antitone
theorem iUnion_iInter_subset {s : ι → ι' → Set α} : (⋃ j, ⋂ i, s i j) ⊆ ⋂ i, ⋃ j, s i j :=
iSup_iInf_le_iInf_iSup (flip s)
#align set.Union_Inter_subset Set.iUnion_iInter_subset
theorem iUnion_option {ι} (s : Option ι → Set α) : ⋃ o, s o = s none ∪ ⋃ i, s (some i) :=
iSup_option s
#align set.Union_option Set.iUnion_option
theorem iInter_option {ι} (s : Option ι → Set α) : ⋂ o, s o = s none ∩ ⋂ i, s (some i) :=
iInf_option s
#align set.Inter_option Set.iInter_option
section
variable (p : ι → Prop) [DecidablePred p]
theorem iUnion_dite (f : ∀ i, p i → Set α) (g : ∀ i, ¬p i → Set α) :
⋃ i, (if h : p i then f i h else g i h) = (⋃ (i) (h : p i), f i h) ∪ ⋃ (i) (h : ¬p i), g i h :=
iSup_dite _ _ _
#align set.Union_dite Set.iUnion_dite
theorem iUnion_ite (f g : ι → Set α) :
⋃ i, (if p i then f i else g i) = (⋃ (i) (_ : p i), f i) ∪ ⋃ (i) (_ : ¬p i), g i :=
iUnion_dite _ _ _
#align set.Union_ite Set.iUnion_ite
theorem iInter_dite (f : ∀ i, p i → Set α) (g : ∀ i, ¬p i → Set α) :
⋂ i, (if h : p i then f i h else g i h) = (⋂ (i) (h : p i), f i h) ∩ ⋂ (i) (h : ¬p i), g i h :=
iInf_dite _ _ _
#align set.Inter_dite Set.iInter_dite
theorem iInter_ite (f g : ι → Set α) :
⋂ i, (if p i then f i else g i) = (⋂ (i) (_ : p i), f i) ∩ ⋂ (i) (_ : ¬p i), g i :=
iInter_dite _ _ _
#align set.Inter_ite Set.iInter_ite
end
theorem image_projection_prod {ι : Type*} {α : ι → Type*} {v : ∀ i : ι, Set (α i)}
(hv : (pi univ v).Nonempty) (i : ι) :
((fun x : ∀ i : ι, α i => x i) '' ⋂ k, (fun x : ∀ j : ι, α j => x k) ⁻¹' v k) = v i := by
classical
apply Subset.antisymm
· simp [iInter_subset]
· intro y y_in
simp only [mem_image, mem_iInter, mem_preimage]
rcases hv with ⟨z, hz⟩
refine ⟨Function.update z i y, ?_, update_same i y z⟩
rw [@forall_update_iff ι α _ z i y fun i t => t ∈ v i]
exact ⟨y_in, fun j _ => by simpa using hz j⟩
#align set.image_projection_prod Set.image_projection_prod
theorem iInter_false {s : False → Set α} : iInter s = univ :=
iInf_false
#align set.Inter_false Set.iInter_false
theorem iUnion_false {s : False → Set α} : iUnion s = ∅ :=
iSup_false
#align set.Union_false Set.iUnion_false
@[simp]
theorem iInter_true {s : True → Set α} : iInter s = s trivial :=
iInf_true
#align set.Inter_true Set.iInter_true
@[simp]
theorem iUnion_true {s : True → Set α} : iUnion s = s trivial :=
iSup_true
#align set.Union_true Set.iUnion_true
@[simp]
theorem iInter_exists {p : ι → Prop} {f : Exists p → Set α} :
⋂ x, f x = ⋂ (i) (h : p i), f ⟨i, h⟩ :=
iInf_exists
#align set.Inter_exists Set.iInter_exists
@[simp]
theorem iUnion_exists {p : ι → Prop} {f : Exists p → Set α} :
⋃ x, f x = ⋃ (i) (h : p i), f ⟨i, h⟩ :=
iSup_exists
#align set.Union_exists Set.iUnion_exists
@[simp]
theorem iUnion_empty : (⋃ _ : ι, ∅ : Set α) = ∅ :=
iSup_bot
#align set.Union_empty Set.iUnion_empty
@[simp]
theorem iInter_univ : (⋂ _ : ι, univ : Set α) = univ :=
iInf_top
#align set.Inter_univ Set.iInter_univ
section
variable {s : ι → Set α}
@[simp]
theorem iUnion_eq_empty : ⋃ i, s i = ∅ ↔ ∀ i, s i = ∅ :=
iSup_eq_bot
#align set.Union_eq_empty Set.iUnion_eq_empty
@[simp]
theorem iInter_eq_univ : ⋂ i, s i = univ ↔ ∀ i, s i = univ :=
iInf_eq_top
#align set.Inter_eq_univ Set.iInter_eq_univ
@[simp]
theorem nonempty_iUnion : (⋃ i, s i).Nonempty ↔ ∃ i, (s i).Nonempty := by
simp [nonempty_iff_ne_empty]
#align set.nonempty_Union Set.nonempty_iUnion
-- Porting note (#10618): removing `simp`. `simp` can prove it
theorem nonempty_biUnion {t : Set α} {s : α → Set β} :
(⋃ i ∈ t, s i).Nonempty ↔ ∃ i ∈ t, (s i).Nonempty := by simp
#align set.nonempty_bUnion Set.nonempty_biUnion
theorem iUnion_nonempty_index (s : Set α) (t : s.Nonempty → Set β) :
⋃ h, t h = ⋃ x ∈ s, t ⟨x, ‹_›⟩ :=
iSup_exists
#align set.Union_nonempty_index Set.iUnion_nonempty_index
end
@[simp]
theorem iInter_iInter_eq_left {b : β} {s : ∀ x : β, x = b → Set α} :
⋂ (x) (h : x = b), s x h = s b rfl :=
iInf_iInf_eq_left
#align set.Inter_Inter_eq_left Set.iInter_iInter_eq_left
@[simp]
theorem iInter_iInter_eq_right {b : β} {s : ∀ x : β, b = x → Set α} :
⋂ (x) (h : b = x), s x h = s b rfl :=
iInf_iInf_eq_right
#align set.Inter_Inter_eq_right Set.iInter_iInter_eq_right
@[simp]
theorem iUnion_iUnion_eq_left {b : β} {s : ∀ x : β, x = b → Set α} :
⋃ (x) (h : x = b), s x h = s b rfl :=
iSup_iSup_eq_left
#align set.Union_Union_eq_left Set.iUnion_iUnion_eq_left
@[simp]
theorem iUnion_iUnion_eq_right {b : β} {s : ∀ x : β, b = x → Set α} :
⋃ (x) (h : b = x), s x h = s b rfl :=
iSup_iSup_eq_right
#align set.Union_Union_eq_right Set.iUnion_iUnion_eq_right
theorem iInter_or {p q : Prop} (s : p ∨ q → Set α) :
⋂ h, s h = (⋂ h : p, s (Or.inl h)) ∩ ⋂ h : q, s (Or.inr h) :=
iInf_or
#align set.Inter_or Set.iInter_or
theorem iUnion_or {p q : Prop} (s : p ∨ q → Set α) :
⋃ h, s h = (⋃ i, s (Or.inl i)) ∪ ⋃ j, s (Or.inr j) :=
iSup_or
#align set.Union_or Set.iUnion_or
theorem iUnion_and {p q : Prop} (s : p ∧ q → Set α) : ⋃ h, s h = ⋃ (hp) (hq), s ⟨hp, hq⟩ :=
iSup_and
#align set.Union_and Set.iUnion_and
theorem iInter_and {p q : Prop} (s : p ∧ q → Set α) : ⋂ h, s h = ⋂ (hp) (hq), s ⟨hp, hq⟩ :=
iInf_and
#align set.Inter_and Set.iInter_and
theorem iUnion_comm (s : ι → ι' → Set α) : ⋃ (i) (i'), s i i' = ⋃ (i') (i), s i i' :=
iSup_comm
#align set.Union_comm Set.iUnion_comm
theorem iInter_comm (s : ι → ι' → Set α) : ⋂ (i) (i'), s i i' = ⋂ (i') (i), s i i' :=
iInf_comm
#align set.Inter_comm Set.iInter_comm
theorem iUnion_sigma {γ : α → Type*} (s : Sigma γ → Set β) : ⋃ ia, s ia = ⋃ i, ⋃ a, s ⟨i, a⟩ :=
iSup_sigma
theorem iUnion_sigma' {γ : α → Type*} (s : ∀ i, γ i → Set β) :
⋃ i, ⋃ a, s i a = ⋃ ia : Sigma γ, s ia.1 ia.2 :=
iSup_sigma' _
theorem iInter_sigma {γ : α → Type*} (s : Sigma γ → Set β) : ⋂ ia, s ia = ⋂ i, ⋂ a, s ⟨i, a⟩ :=
iInf_sigma
theorem iInter_sigma' {γ : α → Type*} (s : ∀ i, γ i → Set β) :
⋂ i, ⋂ a, s i a = ⋂ ia : Sigma γ, s ia.1 ia.2 :=
iInf_sigma' _
theorem iUnion₂_comm (s : ∀ i₁, κ₁ i₁ → ∀ i₂, κ₂ i₂ → Set α) :
⋃ (i₁) (j₁) (i₂) (j₂), s i₁ j₁ i₂ j₂ = ⋃ (i₂) (j₂) (i₁) (j₁), s i₁ j₁ i₂ j₂ :=
iSup₂_comm _
#align set.Union₂_comm Set.iUnion₂_comm
theorem iInter₂_comm (s : ∀ i₁, κ₁ i₁ → ∀ i₂, κ₂ i₂ → Set α) :
⋂ (i₁) (j₁) (i₂) (j₂), s i₁ j₁ i₂ j₂ = ⋂ (i₂) (j₂) (i₁) (j₁), s i₁ j₁ i₂ j₂ :=
iInf₂_comm _
#align set.Inter₂_comm Set.iInter₂_comm
@[simp]
theorem biUnion_and (p : ι → Prop) (q : ι → ι' → Prop) (s : ∀ x y, p x ∧ q x y → Set α) :
⋃ (x : ι) (y : ι') (h : p x ∧ q x y), s x y h =
⋃ (x : ι) (hx : p x) (y : ι') (hy : q x y), s x y ⟨hx, hy⟩ := by
simp only [iUnion_and, @iUnion_comm _ ι']
#align set.bUnion_and Set.biUnion_and
@[simp]
theorem biUnion_and' (p : ι' → Prop) (q : ι → ι' → Prop) (s : ∀ x y, p y ∧ q x y → Set α) :
⋃ (x : ι) (y : ι') (h : p y ∧ q x y), s x y h =
⋃ (y : ι') (hy : p y) (x : ι) (hx : q x y), s x y ⟨hy, hx⟩ := by
simp only [iUnion_and, @iUnion_comm _ ι]
#align set.bUnion_and' Set.biUnion_and'
@[simp]
theorem biInter_and (p : ι → Prop) (q : ι → ι' → Prop) (s : ∀ x y, p x ∧ q x y → Set α) :
⋂ (x : ι) (y : ι') (h : p x ∧ q x y), s x y h =
⋂ (x : ι) (hx : p x) (y : ι') (hy : q x y), s x y ⟨hx, hy⟩ := by
simp only [iInter_and, @iInter_comm _ ι']
#align set.bInter_and Set.biInter_and
@[simp]
theorem biInter_and' (p : ι' → Prop) (q : ι → ι' → Prop) (s : ∀ x y, p y ∧ q x y → Set α) :
⋂ (x : ι) (y : ι') (h : p y ∧ q x y), s x y h =
⋂ (y : ι') (hy : p y) (x : ι) (hx : q x y), s x y ⟨hy, hx⟩ := by
simp only [iInter_and, @iInter_comm _ ι]
#align set.bInter_and' Set.biInter_and'
@[simp]
theorem iUnion_iUnion_eq_or_left {b : β} {p : β → Prop} {s : ∀ x : β, x = b ∨ p x → Set α} :
⋃ (x) (h), s x h = s b (Or.inl rfl) ∪ ⋃ (x) (h : p x), s x (Or.inr h) := by
simp only [iUnion_or, iUnion_union_distrib, iUnion_iUnion_eq_left]
#align set.Union_Union_eq_or_left Set.iUnion_iUnion_eq_or_left
@[simp]
theorem iInter_iInter_eq_or_left {b : β} {p : β → Prop} {s : ∀ x : β, x = b ∨ p x → Set α} :
⋂ (x) (h), s x h = s b (Or.inl rfl) ∩ ⋂ (x) (h : p x), s x (Or.inr h) := by
simp only [iInter_or, iInter_inter_distrib, iInter_iInter_eq_left]
#align set.Inter_Inter_eq_or_left Set.iInter_iInter_eq_or_left
theorem mem_biUnion {s : Set α} {t : α → Set β} {x : α} {y : β} (xs : x ∈ s) (ytx : y ∈ t x) :
y ∈ ⋃ x ∈ s, t x :=
mem_iUnion₂_of_mem xs ytx
#align set.mem_bUnion Set.mem_biUnion
theorem mem_biInter {s : Set α} {t : α → Set β} {y : β} (h : ∀ x ∈ s, y ∈ t x) :
y ∈ ⋂ x ∈ s, t x :=
mem_iInter₂_of_mem h
#align set.mem_bInter Set.mem_biInter
theorem subset_biUnion_of_mem {s : Set α} {u : α → Set β} {x : α} (xs : x ∈ s) :
u x ⊆ ⋃ x ∈ s, u x :=
-- Porting note: Why is this not just `subset_iUnion₂ x xs`?
@subset_iUnion₂ β α (· ∈ s) (fun i _ => u i) x xs
#align set.subset_bUnion_of_mem Set.subset_biUnion_of_mem
theorem biInter_subset_of_mem {s : Set α} {t : α → Set β} {x : α} (xs : x ∈ s) :
⋂ x ∈ s, t x ⊆ t x :=
iInter₂_subset x xs
#align set.bInter_subset_of_mem Set.biInter_subset_of_mem
theorem biUnion_subset_biUnion_left {s s' : Set α} {t : α → Set β} (h : s ⊆ s') :
⋃ x ∈ s, t x ⊆ ⋃ x ∈ s', t x :=
iUnion₂_subset fun _ hx => subset_biUnion_of_mem <| h hx
#align set.bUnion_subset_bUnion_left Set.biUnion_subset_biUnion_left
theorem biInter_subset_biInter_left {s s' : Set α} {t : α → Set β} (h : s' ⊆ s) :
⋂ x ∈ s, t x ⊆ ⋂ x ∈ s', t x :=
subset_iInter₂ fun _ hx => biInter_subset_of_mem <| h hx
#align set.bInter_subset_bInter_left Set.biInter_subset_biInter_left
theorem biUnion_mono {s s' : Set α} {t t' : α → Set β} (hs : s' ⊆ s) (h : ∀ x ∈ s, t x ⊆ t' x) :
⋃ x ∈ s', t x ⊆ ⋃ x ∈ s, t' x :=
(biUnion_subset_biUnion_left hs).trans <| iUnion₂_mono h
#align set.bUnion_mono Set.biUnion_mono
theorem biInter_mono {s s' : Set α} {t t' : α → Set β} (hs : s ⊆ s') (h : ∀ x ∈ s, t x ⊆ t' x) :
⋂ x ∈ s', t x ⊆ ⋂ x ∈ s, t' x :=
(biInter_subset_biInter_left hs).trans <| iInter₂_mono h
#align set.bInter_mono Set.biInter_mono
theorem biUnion_eq_iUnion (s : Set α) (t : ∀ x ∈ s, Set β) :
⋃ x ∈ s, t x ‹_› = ⋃ x : s, t x x.2 :=
iSup_subtype'
#align set.bUnion_eq_Union Set.biUnion_eq_iUnion
theorem biInter_eq_iInter (s : Set α) (t : ∀ x ∈ s, Set β) :
⋂ x ∈ s, t x ‹_› = ⋂ x : s, t x x.2 :=
iInf_subtype'
#align set.bInter_eq_Inter Set.biInter_eq_iInter
theorem iUnion_subtype (p : α → Prop) (s : { x // p x } → Set β) :
⋃ x : { x // p x }, s x = ⋃ (x) (hx : p x), s ⟨x, hx⟩ :=
iSup_subtype
#align set.Union_subtype Set.iUnion_subtype
theorem iInter_subtype (p : α → Prop) (s : { x // p x } → Set β) :
⋂ x : { x // p x }, s x = ⋂ (x) (hx : p x), s ⟨x, hx⟩ :=
iInf_subtype
#align set.Inter_subtype Set.iInter_subtype
theorem biInter_empty (u : α → Set β) : ⋂ x ∈ (∅ : Set α), u x = univ :=
iInf_emptyset
#align set.bInter_empty Set.biInter_empty
theorem biInter_univ (u : α → Set β) : ⋂ x ∈ @univ α, u x = ⋂ x, u x :=
iInf_univ
#align set.bInter_univ Set.biInter_univ
@[simp]
theorem biUnion_self (s : Set α) : ⋃ x ∈ s, s = s :=
Subset.antisymm (iUnion₂_subset fun _ _ => Subset.refl s) fun _ hx => mem_biUnion hx hx
#align set.bUnion_self Set.biUnion_self
@[simp]
theorem iUnion_nonempty_self (s : Set α) : ⋃ _ : s.Nonempty, s = s := by
rw [iUnion_nonempty_index, biUnion_self]
#align set.Union_nonempty_self Set.iUnion_nonempty_self
theorem biInter_singleton (a : α) (s : α → Set β) : ⋂ x ∈ ({a} : Set α), s x = s a :=
iInf_singleton
#align set.bInter_singleton Set.biInter_singleton
theorem biInter_union (s t : Set α) (u : α → Set β) :
⋂ x ∈ s ∪ t, u x = (⋂ x ∈ s, u x) ∩ ⋂ x ∈ t, u x :=
iInf_union
#align set.bInter_union Set.biInter_union
theorem biInter_insert (a : α) (s : Set α) (t : α → Set β) :
⋂ x ∈ insert a s, t x = t a ∩ ⋂ x ∈ s, t x := by simp
#align set.bInter_insert Set.biInter_insert
theorem biInter_pair (a b : α) (s : α → Set β) : ⋂ x ∈ ({a, b} : Set α), s x = s a ∩ s b := by
rw [biInter_insert, biInter_singleton]
#align set.bInter_pair Set.biInter_pair
theorem biInter_inter {ι α : Type*} {s : Set ι} (hs : s.Nonempty) (f : ι → Set α) (t : Set α) :
⋂ i ∈ s, f i ∩ t = (⋂ i ∈ s, f i) ∩ t := by
haveI : Nonempty s := hs.to_subtype
simp [biInter_eq_iInter, ← iInter_inter]
#align set.bInter_inter Set.biInter_inter
theorem inter_biInter {ι α : Type*} {s : Set ι} (hs : s.Nonempty) (f : ι → Set α) (t : Set α) :
⋂ i ∈ s, t ∩ f i = t ∩ ⋂ i ∈ s, f i := by
rw [inter_comm, ← biInter_inter hs]
simp [inter_comm]
#align set.inter_bInter Set.inter_biInter
theorem biUnion_empty (s : α → Set β) : ⋃ x ∈ (∅ : Set α), s x = ∅ :=
iSup_emptyset
#align set.bUnion_empty Set.biUnion_empty
theorem biUnion_univ (s : α → Set β) : ⋃ x ∈ @univ α, s x = ⋃ x, s x :=
iSup_univ
#align set.bUnion_univ Set.biUnion_univ
theorem biUnion_singleton (a : α) (s : α → Set β) : ⋃ x ∈ ({a} : Set α), s x = s a :=
iSup_singleton
#align set.bUnion_singleton Set.biUnion_singleton
@[simp]
theorem biUnion_of_singleton (s : Set α) : ⋃ x ∈ s, {x} = s :=
ext <| by simp
#align set.bUnion_of_singleton Set.biUnion_of_singleton
theorem biUnion_union (s t : Set α) (u : α → Set β) :
⋃ x ∈ s ∪ t, u x = (⋃ x ∈ s, u x) ∪ ⋃ x ∈ t, u x :=
iSup_union
#align set.bUnion_union Set.biUnion_union
@[simp]
theorem iUnion_coe_set {α β : Type*} (s : Set α) (f : s → Set β) :
⋃ i, f i = ⋃ i ∈ s, f ⟨i, ‹i ∈ s›⟩ :=
iUnion_subtype _ _
#align set.Union_coe_set Set.iUnion_coe_set
@[simp]
theorem iInter_coe_set {α β : Type*} (s : Set α) (f : s → Set β) :
⋂ i, f i = ⋂ i ∈ s, f ⟨i, ‹i ∈ s›⟩ :=
iInter_subtype _ _
#align set.Inter_coe_set Set.iInter_coe_set
| Mathlib/Data/Set/Lattice.lean | 963 | 964 | theorem biUnion_insert (a : α) (s : Set α) (t : α → Set β) :
⋃ x ∈ insert a s, t x = t a ∪ ⋃ x ∈ s, t x := by | simp
|
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