Context stringlengths 57 85k | file_name stringlengths 21 79 | start int64 14 2.42k | end int64 18 2.43k | theorem stringlengths 25 2.71k | proof stringlengths 5 10.6k |
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import Mathlib.Algebra.CharP.Invertible
import Mathlib.Algebra.Order.Interval.Set.Group
import Mathlib.Analysis.Convex.Segment
import Mathlib.LinearAlgebra.AffineSpace.FiniteDimensional
import Mathlib.Tactic.FieldSimp
#align_import analysis.convex.between from "leanprover-community/mathlib"@"571e13cacbed7bf042fd3058ce27157101433842"
variable (R : Type*) {V V' P P' : Type*}
open AffineEquiv AffineMap
section OrderedRing
variable [OrderedRing R] [AddCommGroup V] [Module R V] [AddTorsor V P]
variable [AddCommGroup V'] [Module R V'] [AddTorsor V' P']
def affineSegment (x y : P) :=
lineMap x y '' Set.Icc (0 : R) 1
#align affine_segment affineSegment
theorem affineSegment_eq_segment (x y : V) : affineSegment R x y = segment R x y := by
rw [segment_eq_image_lineMap, affineSegment]
#align affine_segment_eq_segment affineSegment_eq_segment
theorem affineSegment_comm (x y : P) : affineSegment R x y = affineSegment R y x := by
refine Set.ext fun z => ?_
constructor <;>
· rintro ⟨t, ht, hxy⟩
refine ⟨1 - t, ?_, ?_⟩
· rwa [Set.sub_mem_Icc_iff_right, sub_self, sub_zero]
· rwa [lineMap_apply_one_sub]
#align affine_segment_comm affineSegment_comm
theorem left_mem_affineSegment (x y : P) : x ∈ affineSegment R x y :=
⟨0, Set.left_mem_Icc.2 zero_le_one, lineMap_apply_zero _ _⟩
#align left_mem_affine_segment left_mem_affineSegment
theorem right_mem_affineSegment (x y : P) : y ∈ affineSegment R x y :=
⟨1, Set.right_mem_Icc.2 zero_le_one, lineMap_apply_one _ _⟩
#align right_mem_affine_segment right_mem_affineSegment
@[simp]
theorem affineSegment_same (x : P) : affineSegment R x x = {x} := by
-- Porting note: added as this doesn't do anything in `simp_rw` any more
rw [affineSegment]
-- Note: when adding "simp made no progress" in lean4#2336,
-- had to change `lineMap_same` to `lineMap_same _`. Not sure why?
-- Porting note: added `_ _` and `Function.const`
simp_rw [lineMap_same _, AffineMap.coe_const _ _, Function.const,
(Set.nonempty_Icc.mpr zero_le_one).image_const]
#align affine_segment_same affineSegment_same
variable {R}
@[simp]
theorem affineSegment_image (f : P →ᵃ[R] P') (x y : P) :
f '' affineSegment R x y = affineSegment R (f x) (f y) := by
rw [affineSegment, affineSegment, Set.image_image, ← comp_lineMap]
rfl
#align affine_segment_image affineSegment_image
variable (R)
@[simp]
theorem affineSegment_const_vadd_image (x y : P) (v : V) :
(v +ᵥ ·) '' affineSegment R x y = affineSegment R (v +ᵥ x) (v +ᵥ y) :=
affineSegment_image (AffineEquiv.constVAdd R P v : P →ᵃ[R] P) x y
#align affine_segment_const_vadd_image affineSegment_const_vadd_image
@[simp]
theorem affineSegment_vadd_const_image (x y : V) (p : P) :
(· +ᵥ p) '' affineSegment R x y = affineSegment R (x +ᵥ p) (y +ᵥ p) :=
affineSegment_image (AffineEquiv.vaddConst R p : V →ᵃ[R] P) x y
#align affine_segment_vadd_const_image affineSegment_vadd_const_image
@[simp]
theorem affineSegment_const_vsub_image (x y p : P) :
(p -ᵥ ·) '' affineSegment R x y = affineSegment R (p -ᵥ x) (p -ᵥ y) :=
affineSegment_image (AffineEquiv.constVSub R p : P →ᵃ[R] V) x y
#align affine_segment_const_vsub_image affineSegment_const_vsub_image
@[simp]
theorem affineSegment_vsub_const_image (x y p : P) :
(· -ᵥ p) '' affineSegment R x y = affineSegment R (x -ᵥ p) (y -ᵥ p) :=
affineSegment_image ((AffineEquiv.vaddConst R p).symm : P →ᵃ[R] V) x y
#align affine_segment_vsub_const_image affineSegment_vsub_const_image
variable {R}
@[simp]
theorem mem_const_vadd_affineSegment {x y z : P} (v : V) :
v +ᵥ z ∈ affineSegment R (v +ᵥ x) (v +ᵥ y) ↔ z ∈ affineSegment R x y := by
rw [← affineSegment_const_vadd_image, (AddAction.injective v).mem_set_image]
#align mem_const_vadd_affine_segment mem_const_vadd_affineSegment
@[simp]
theorem mem_vadd_const_affineSegment {x y z : V} (p : P) :
z +ᵥ p ∈ affineSegment R (x +ᵥ p) (y +ᵥ p) ↔ z ∈ affineSegment R x y := by
rw [← affineSegment_vadd_const_image, (vadd_right_injective p).mem_set_image]
#align mem_vadd_const_affine_segment mem_vadd_const_affineSegment
@[simp]
theorem mem_const_vsub_affineSegment {x y z : P} (p : P) :
p -ᵥ z ∈ affineSegment R (p -ᵥ x) (p -ᵥ y) ↔ z ∈ affineSegment R x y := by
rw [← affineSegment_const_vsub_image, (vsub_right_injective p).mem_set_image]
#align mem_const_vsub_affine_segment mem_const_vsub_affineSegment
@[simp]
theorem mem_vsub_const_affineSegment {x y z : P} (p : P) :
z -ᵥ p ∈ affineSegment R (x -ᵥ p) (y -ᵥ p) ↔ z ∈ affineSegment R x y := by
rw [← affineSegment_vsub_const_image, (vsub_left_injective p).mem_set_image]
#align mem_vsub_const_affine_segment mem_vsub_const_affineSegment
variable (R)
def Wbtw (x y z : P) : Prop :=
y ∈ affineSegment R x z
#align wbtw Wbtw
def Sbtw (x y z : P) : Prop :=
Wbtw R x y z ∧ y ≠ x ∧ y ≠ z
#align sbtw Sbtw
variable {R}
lemma mem_segment_iff_wbtw {x y z : V} : y ∈ segment R x z ↔ Wbtw R x y z := by
rw [Wbtw, affineSegment_eq_segment]
theorem Wbtw.map {x y z : P} (h : Wbtw R x y z) (f : P →ᵃ[R] P') : Wbtw R (f x) (f y) (f z) := by
rw [Wbtw, ← affineSegment_image]
exact Set.mem_image_of_mem _ h
#align wbtw.map Wbtw.map
theorem Function.Injective.wbtw_map_iff {x y z : P} {f : P →ᵃ[R] P'} (hf : Function.Injective f) :
Wbtw R (f x) (f y) (f z) ↔ Wbtw R x y z := by
refine ⟨fun h => ?_, fun h => h.map _⟩
rwa [Wbtw, ← affineSegment_image, hf.mem_set_image] at h
#align function.injective.wbtw_map_iff Function.Injective.wbtw_map_iff
theorem Function.Injective.sbtw_map_iff {x y z : P} {f : P →ᵃ[R] P'} (hf : Function.Injective f) :
Sbtw R (f x) (f y) (f z) ↔ Sbtw R x y z := by
simp_rw [Sbtw, hf.wbtw_map_iff, hf.ne_iff]
#align function.injective.sbtw_map_iff Function.Injective.sbtw_map_iff
@[simp]
theorem AffineEquiv.wbtw_map_iff {x y z : P} (f : P ≃ᵃ[R] P') :
Wbtw R (f x) (f y) (f z) ↔ Wbtw R x y z := by
refine Function.Injective.wbtw_map_iff (?_ : Function.Injective f.toAffineMap)
exact f.injective
#align affine_equiv.wbtw_map_iff AffineEquiv.wbtw_map_iff
@[simp]
theorem AffineEquiv.sbtw_map_iff {x y z : P} (f : P ≃ᵃ[R] P') :
Sbtw R (f x) (f y) (f z) ↔ Sbtw R x y z := by
refine Function.Injective.sbtw_map_iff (?_ : Function.Injective f.toAffineMap)
exact f.injective
#align affine_equiv.sbtw_map_iff AffineEquiv.sbtw_map_iff
@[simp]
theorem wbtw_const_vadd_iff {x y z : P} (v : V) :
Wbtw R (v +ᵥ x) (v +ᵥ y) (v +ᵥ z) ↔ Wbtw R x y z :=
mem_const_vadd_affineSegment _
#align wbtw_const_vadd_iff wbtw_const_vadd_iff
@[simp]
theorem wbtw_vadd_const_iff {x y z : V} (p : P) :
Wbtw R (x +ᵥ p) (y +ᵥ p) (z +ᵥ p) ↔ Wbtw R x y z :=
mem_vadd_const_affineSegment _
#align wbtw_vadd_const_iff wbtw_vadd_const_iff
@[simp]
theorem wbtw_const_vsub_iff {x y z : P} (p : P) :
Wbtw R (p -ᵥ x) (p -ᵥ y) (p -ᵥ z) ↔ Wbtw R x y z :=
mem_const_vsub_affineSegment _
#align wbtw_const_vsub_iff wbtw_const_vsub_iff
@[simp]
theorem wbtw_vsub_const_iff {x y z : P} (p : P) :
Wbtw R (x -ᵥ p) (y -ᵥ p) (z -ᵥ p) ↔ Wbtw R x y z :=
mem_vsub_const_affineSegment _
#align wbtw_vsub_const_iff wbtw_vsub_const_iff
@[simp]
theorem sbtw_const_vadd_iff {x y z : P} (v : V) :
Sbtw R (v +ᵥ x) (v +ᵥ y) (v +ᵥ z) ↔ Sbtw R x y z := by
rw [Sbtw, Sbtw, wbtw_const_vadd_iff, (AddAction.injective v).ne_iff,
(AddAction.injective v).ne_iff]
#align sbtw_const_vadd_iff sbtw_const_vadd_iff
@[simp]
theorem sbtw_vadd_const_iff {x y z : V} (p : P) :
Sbtw R (x +ᵥ p) (y +ᵥ p) (z +ᵥ p) ↔ Sbtw R x y z := by
rw [Sbtw, Sbtw, wbtw_vadd_const_iff, (vadd_right_injective p).ne_iff,
(vadd_right_injective p).ne_iff]
#align sbtw_vadd_const_iff sbtw_vadd_const_iff
@[simp]
theorem sbtw_const_vsub_iff {x y z : P} (p : P) :
Sbtw R (p -ᵥ x) (p -ᵥ y) (p -ᵥ z) ↔ Sbtw R x y z := by
rw [Sbtw, Sbtw, wbtw_const_vsub_iff, (vsub_right_injective p).ne_iff,
(vsub_right_injective p).ne_iff]
#align sbtw_const_vsub_iff sbtw_const_vsub_iff
@[simp]
theorem sbtw_vsub_const_iff {x y z : P} (p : P) :
Sbtw R (x -ᵥ p) (y -ᵥ p) (z -ᵥ p) ↔ Sbtw R x y z := by
rw [Sbtw, Sbtw, wbtw_vsub_const_iff, (vsub_left_injective p).ne_iff,
(vsub_left_injective p).ne_iff]
#align sbtw_vsub_const_iff sbtw_vsub_const_iff
theorem Sbtw.wbtw {x y z : P} (h : Sbtw R x y z) : Wbtw R x y z :=
h.1
#align sbtw.wbtw Sbtw.wbtw
theorem Sbtw.ne_left {x y z : P} (h : Sbtw R x y z) : y ≠ x :=
h.2.1
#align sbtw.ne_left Sbtw.ne_left
theorem Sbtw.left_ne {x y z : P} (h : Sbtw R x y z) : x ≠ y :=
h.2.1.symm
#align sbtw.left_ne Sbtw.left_ne
theorem Sbtw.ne_right {x y z : P} (h : Sbtw R x y z) : y ≠ z :=
h.2.2
#align sbtw.ne_right Sbtw.ne_right
theorem Sbtw.right_ne {x y z : P} (h : Sbtw R x y z) : z ≠ y :=
h.2.2.symm
#align sbtw.right_ne Sbtw.right_ne
theorem Sbtw.mem_image_Ioo {x y z : P} (h : Sbtw R x y z) :
y ∈ lineMap x z '' Set.Ioo (0 : R) 1 := by
rcases h with ⟨⟨t, ht, rfl⟩, hyx, hyz⟩
rcases Set.eq_endpoints_or_mem_Ioo_of_mem_Icc ht with (rfl | rfl | ho)
· exfalso
exact hyx (lineMap_apply_zero _ _)
· exfalso
exact hyz (lineMap_apply_one _ _)
· exact ⟨t, ho, rfl⟩
#align sbtw.mem_image_Ioo Sbtw.mem_image_Ioo
theorem Wbtw.mem_affineSpan {x y z : P} (h : Wbtw R x y z) : y ∈ line[R, x, z] := by
rcases h with ⟨r, ⟨-, rfl⟩⟩
exact lineMap_mem_affineSpan_pair _ _ _
#align wbtw.mem_affine_span Wbtw.mem_affineSpan
theorem wbtw_comm {x y z : P} : Wbtw R x y z ↔ Wbtw R z y x := by
rw [Wbtw, Wbtw, affineSegment_comm]
#align wbtw_comm wbtw_comm
alias ⟨Wbtw.symm, _⟩ := wbtw_comm
#align wbtw.symm Wbtw.symm
theorem sbtw_comm {x y z : P} : Sbtw R x y z ↔ Sbtw R z y x := by
rw [Sbtw, Sbtw, wbtw_comm, ← and_assoc, ← and_assoc, and_right_comm]
#align sbtw_comm sbtw_comm
alias ⟨Sbtw.symm, _⟩ := sbtw_comm
#align sbtw.symm Sbtw.symm
variable (R)
@[simp]
theorem wbtw_self_left (x y : P) : Wbtw R x x y :=
left_mem_affineSegment _ _ _
#align wbtw_self_left wbtw_self_left
@[simp]
theorem wbtw_self_right (x y : P) : Wbtw R x y y :=
right_mem_affineSegment _ _ _
#align wbtw_self_right wbtw_self_right
@[simp]
| Mathlib/Analysis/Convex/Between.lean | 300 | 306 | theorem wbtw_self_iff {x y : P} : Wbtw R x y x ↔ y = x := by |
refine ⟨fun h => ?_, fun h => ?_⟩
· -- Porting note: Originally `simpa [Wbtw, affineSegment] using h`
have ⟨_, _, h₂⟩ := h
rw [h₂.symm, lineMap_same_apply]
· rw [h]
exact wbtw_self_left R x x
|
import Mathlib.Algebra.BigOperators.Finprod
import Mathlib.Algebra.Group.ConjFinite
import Mathlib.Algebra.Group.Subgroup.Finite
import Mathlib.Data.Set.Card
import Mathlib.GroupTheory.Subgroup.Center
open MulAction ConjClasses
variable (G : Type*) [Group G]
theorem sum_conjClasses_card_eq_card [Fintype <| ConjClasses G] [Fintype G]
[∀ x : ConjClasses G, Fintype x.carrier] :
∑ x : ConjClasses G, x.carrier.toFinset.card = Fintype.card G := by
suffices (Σ x : ConjClasses G, x.carrier) ≃ G by simpa using (Fintype.card_congr this)
simpa [carrier_eq_preimage_mk] using Equiv.sigmaFiberEquiv ConjClasses.mk
| Mathlib/GroupTheory/ClassEquation.lean | 38 | 43 | theorem Group.sum_card_conj_classes_eq_card [Finite G] :
∑ᶠ x : ConjClasses G, x.carrier.ncard = Nat.card G := by |
classical
cases nonempty_fintype G
rw [Nat.card_eq_fintype_card, ← sum_conjClasses_card_eq_card, finsum_eq_sum_of_fintype]
simp [Set.ncard_eq_toFinset_card']
|
import Mathlib.Data.Nat.Factorial.Basic
import Mathlib.Order.Monotone.Basic
#align_import data.nat.choose.basic from "leanprover-community/mathlib"@"2f3994e1b117b1e1da49bcfb67334f33460c3ce4"
open Nat
namespace Nat
def choose : ℕ → ℕ → ℕ
| _, 0 => 1
| 0, _ + 1 => 0
| n + 1, k + 1 => choose n k + choose n (k + 1)
#align nat.choose Nat.choose
@[simp]
theorem choose_zero_right (n : ℕ) : choose n 0 = 1 := by cases n <;> rfl
#align nat.choose_zero_right Nat.choose_zero_right
@[simp]
theorem choose_zero_succ (k : ℕ) : choose 0 (succ k) = 0 :=
rfl
#align nat.choose_zero_succ Nat.choose_zero_succ
theorem choose_succ_succ (n k : ℕ) : choose (succ n) (succ k) = choose n k + choose n (succ k) :=
rfl
#align nat.choose_succ_succ Nat.choose_succ_succ
theorem choose_succ_succ' (n k : ℕ) : choose (n + 1) (k + 1) = choose n k + choose n (k + 1) :=
rfl
theorem choose_eq_zero_of_lt : ∀ {n k}, n < k → choose n k = 0
| _, 0, hk => absurd hk (Nat.not_lt_zero _)
| 0, k + 1, _ => choose_zero_succ _
| n + 1, k + 1, hk => by
have hnk : n < k := lt_of_succ_lt_succ hk
have hnk1 : n < k + 1 := lt_of_succ_lt hk
rw [choose_succ_succ, choose_eq_zero_of_lt hnk, choose_eq_zero_of_lt hnk1]
#align nat.choose_eq_zero_of_lt Nat.choose_eq_zero_of_lt
@[simp]
theorem choose_self (n : ℕ) : choose n n = 1 := by
induction n <;> simp [*, choose, choose_eq_zero_of_lt (lt_succ_self _)]
#align nat.choose_self Nat.choose_self
@[simp]
theorem choose_succ_self (n : ℕ) : choose n (succ n) = 0 :=
choose_eq_zero_of_lt (lt_succ_self _)
#align nat.choose_succ_self Nat.choose_succ_self
@[simp]
lemma choose_one_right (n : ℕ) : choose n 1 = n := by induction n <;> simp [*, choose, Nat.add_comm]
#align nat.choose_one_right Nat.choose_one_right
-- The `n+1`-st triangle number is `n` more than the `n`-th triangle number
theorem triangle_succ (n : ℕ) : (n + 1) * (n + 1 - 1) / 2 = n * (n - 1) / 2 + n := by
rw [← add_mul_div_left, Nat.mul_comm 2 n, ← Nat.mul_add, Nat.add_sub_cancel, Nat.mul_comm]
cases n <;> rfl; apply zero_lt_succ
#align nat.triangle_succ Nat.triangle_succ
theorem choose_two_right (n : ℕ) : choose n 2 = n * (n - 1) / 2 := by
induction' n with n ih
· simp
· rw [triangle_succ n, choose, ih]
simp [Nat.add_comm]
#align nat.choose_two_right Nat.choose_two_right
theorem choose_pos : ∀ {n k}, k ≤ n → 0 < choose n k
| 0, _, hk => by rw [Nat.eq_zero_of_le_zero hk]; decide
| n + 1, 0, _ => by simp
| n + 1, k + 1, hk => Nat.add_pos_left (choose_pos (le_of_succ_le_succ hk)) _
#align nat.choose_pos Nat.choose_pos
theorem choose_eq_zero_iff {n k : ℕ} : n.choose k = 0 ↔ n < k :=
⟨fun h => lt_of_not_ge (mt Nat.choose_pos h.symm.not_lt), Nat.choose_eq_zero_of_lt⟩
#align nat.choose_eq_zero_iff Nat.choose_eq_zero_iff
theorem succ_mul_choose_eq : ∀ n k, succ n * choose n k = choose (succ n) (succ k) * succ k
| 0, 0 => by decide
| 0, k + 1 => by simp [choose]
| n + 1, 0 => by simp [choose, mul_succ, succ_eq_add_one, Nat.add_comm]
| n + 1, k + 1 => by
rw [choose_succ_succ (succ n) (succ k), Nat.add_mul, ← succ_mul_choose_eq n, mul_succ, ←
succ_mul_choose_eq n, Nat.add_right_comm, ← Nat.mul_add, ← choose_succ_succ, ← succ_mul]
#align nat.succ_mul_choose_eq Nat.succ_mul_choose_eq
theorem choose_mul_factorial_mul_factorial : ∀ {n k}, k ≤ n → choose n k * k ! * (n - k)! = n !
| 0, _, hk => by simp [Nat.eq_zero_of_le_zero hk]
| n + 1, 0, _ => by simp
| n + 1, succ k, hk => by
rcases lt_or_eq_of_le hk with hk₁ | hk₁
· have h : choose n k * k.succ ! * (n - k)! = (k + 1) * n ! := by
rw [← choose_mul_factorial_mul_factorial (le_of_succ_le_succ hk)]
simp [factorial_succ, Nat.mul_comm, Nat.mul_left_comm, Nat.mul_assoc]
have h₁ : (n - k)! = (n - k) * (n - k.succ)! := by
rw [← succ_sub_succ, succ_sub (le_of_lt_succ hk₁), factorial_succ]
have h₂ : choose n (succ k) * k.succ ! * ((n - k) * (n - k.succ)!) = (n - k) * n ! := by
rw [← choose_mul_factorial_mul_factorial (le_of_lt_succ hk₁)]
simp [factorial_succ, Nat.mul_comm, Nat.mul_left_comm, Nat.mul_assoc]
have h₃ : k * n ! ≤ n * n ! := Nat.mul_le_mul_right _ (le_of_succ_le_succ hk)
rw [choose_succ_succ, Nat.add_mul, Nat.add_mul, succ_sub_succ, h, h₁, h₂, Nat.add_mul,
Nat.mul_sub_right_distrib, factorial_succ, ← Nat.add_sub_assoc h₃, Nat.add_assoc,
← Nat.add_mul, Nat.add_sub_cancel_left, Nat.add_comm]
· rw [hk₁]; simp [hk₁, Nat.mul_comm, choose, Nat.sub_self]
#align nat.choose_mul_factorial_mul_factorial Nat.choose_mul_factorial_mul_factorial
theorem choose_mul {n k s : ℕ} (hkn : k ≤ n) (hsk : s ≤ k) :
n.choose k * k.choose s = n.choose s * (n - s).choose (k - s) :=
have h : 0 < (n - k)! * (k - s)! * s ! := by apply_rules [factorial_pos, Nat.mul_pos]
Nat.mul_right_cancel h <|
calc
n.choose k * k.choose s * ((n - k)! * (k - s)! * s !) =
n.choose k * (k.choose s * s ! * (k - s)!) * (n - k)! := by
rw [Nat.mul_assoc, Nat.mul_assoc, Nat.mul_assoc, Nat.mul_assoc _ s !, Nat.mul_assoc,
Nat.mul_comm (n - k)!, Nat.mul_comm s !]
_ = n ! := by
rw [choose_mul_factorial_mul_factorial hsk, choose_mul_factorial_mul_factorial hkn]
_ = n.choose s * s ! * ((n - s).choose (k - s) * (k - s)! * (n - s - (k - s))!) := by
rw [choose_mul_factorial_mul_factorial (Nat.sub_le_sub_right hkn _),
choose_mul_factorial_mul_factorial (hsk.trans hkn)]
_ = n.choose s * (n - s).choose (k - s) * ((n - k)! * (k - s)! * s !) := by
rw [Nat.sub_sub_sub_cancel_right hsk, Nat.mul_assoc, Nat.mul_left_comm s !, Nat.mul_assoc,
Nat.mul_comm (k - s)!, Nat.mul_comm s !, Nat.mul_right_comm, ← Nat.mul_assoc]
#align nat.choose_mul Nat.choose_mul
theorem choose_eq_factorial_div_factorial {n k : ℕ} (hk : k ≤ n) :
choose n k = n ! / (k ! * (n - k)!) := by
rw [← choose_mul_factorial_mul_factorial hk, Nat.mul_assoc]
exact (mul_div_left _ (Nat.mul_pos (factorial_pos _) (factorial_pos _))).symm
#align nat.choose_eq_factorial_div_factorial Nat.choose_eq_factorial_div_factorial
theorem add_choose (i j : ℕ) : (i + j).choose j = (i + j)! / (i ! * j !) := by
rw [choose_eq_factorial_div_factorial (Nat.le_add_left j i), Nat.add_sub_cancel_right,
Nat.mul_comm]
#align nat.add_choose Nat.add_choose
theorem add_choose_mul_factorial_mul_factorial (i j : ℕ) :
(i + j).choose j * i ! * j ! = (i + j)! := by
rw [← choose_mul_factorial_mul_factorial (Nat.le_add_left _ _), Nat.add_sub_cancel_right,
Nat.mul_right_comm]
#align nat.add_choose_mul_factorial_mul_factorial Nat.add_choose_mul_factorial_mul_factorial
theorem factorial_mul_factorial_dvd_factorial {n k : ℕ} (hk : k ≤ n) : k ! * (n - k)! ∣ n ! := by
rw [← choose_mul_factorial_mul_factorial hk, Nat.mul_assoc]; exact Nat.dvd_mul_left _ _
#align nat.factorial_mul_factorial_dvd_factorial Nat.factorial_mul_factorial_dvd_factorial
theorem factorial_mul_factorial_dvd_factorial_add (i j : ℕ) : i ! * j ! ∣ (i + j)! := by
suffices i ! * (i + j - i) ! ∣ (i + j)! by
rwa [Nat.add_sub_cancel_left i j] at this
exact factorial_mul_factorial_dvd_factorial (Nat.le_add_right _ _)
#align nat.factorial_mul_factorial_dvd_factorial_add Nat.factorial_mul_factorial_dvd_factorial_add
@[simp]
theorem choose_symm {n k : ℕ} (hk : k ≤ n) : choose n (n - k) = choose n k := by
rw [choose_eq_factorial_div_factorial hk, choose_eq_factorial_div_factorial (Nat.sub_le _ _),
Nat.sub_sub_self hk, Nat.mul_comm]
#align nat.choose_symm Nat.choose_symm
theorem choose_symm_of_eq_add {n a b : ℕ} (h : n = a + b) : Nat.choose n a = Nat.choose n b := by
suffices choose n (n - b) = choose n b by
rw [h, Nat.add_sub_cancel_right] at this; rwa [h]
exact choose_symm (h ▸ le_add_left _ _)
#align nat.choose_symm_of_eq_add Nat.choose_symm_of_eq_add
theorem choose_symm_add {a b : ℕ} : choose (a + b) a = choose (a + b) b :=
choose_symm_of_eq_add rfl
#align nat.choose_symm_add Nat.choose_symm_add
theorem choose_symm_half (m : ℕ) : choose (2 * m + 1) (m + 1) = choose (2 * m + 1) m := by
apply choose_symm_of_eq_add
rw [Nat.add_comm m 1, Nat.add_assoc 1 m m, Nat.add_comm (2 * m) 1, Nat.two_mul m]
#align nat.choose_symm_half Nat.choose_symm_half
theorem choose_succ_right_eq (n k : ℕ) : choose n (k + 1) * (k + 1) = choose n k * (n - k) := by
have e : (n + 1) * choose n k = choose n (k + 1) * (k + 1) + choose n k * (k + 1) := by
rw [← Nat.add_mul, Nat.add_comm (choose _ _), ← choose_succ_succ, succ_mul_choose_eq]
rw [← Nat.sub_eq_of_eq_add e, Nat.mul_comm, ← Nat.mul_sub_left_distrib, Nat.add_sub_add_right]
#align nat.choose_succ_right_eq Nat.choose_succ_right_eq
@[simp]
theorem choose_succ_self_right : ∀ n : ℕ, (n + 1).choose n = n + 1
| 0 => rfl
| n + 1 => by rw [choose_succ_succ, choose_succ_self_right n, choose_self]
#align nat.choose_succ_self_right Nat.choose_succ_self_right
| Mathlib/Data/Nat/Choose/Basic.lean | 224 | 232 | theorem choose_mul_succ_eq (n k : ℕ) : n.choose k * (n + 1) = (n + 1).choose k * (n + 1 - k) := by |
cases k with
| zero => simp
| succ k =>
obtain hk | hk := le_or_lt (k + 1) (n + 1)
· rw [choose_succ_succ, Nat.add_mul, succ_sub_succ, ← choose_succ_right_eq, ← succ_sub_succ,
Nat.mul_sub_left_distrib, Nat.add_sub_cancel' (Nat.mul_le_mul_left _ hk)]
· rw [choose_eq_zero_of_lt hk, choose_eq_zero_of_lt (n.lt_succ_self.trans hk), Nat.zero_mul,
Nat.zero_mul]
|
import Mathlib.Algebra.Group.Indicator
import Mathlib.Algebra.Module.Defs
import Mathlib.Algebra.Order.Field.Rat
import Mathlib.GroupTheory.GroupAction.Group
import Mathlib.GroupTheory.GroupAction.Pi
#align_import algebra.module.basic from "leanprover-community/mathlib"@"30413fc89f202a090a54d78e540963ed3de0056e"
open Function Set
universe u v
variable {α R M M₂ : Type*}
@[deprecated (since := "2024-04-17")]
alias map_nat_cast_smul := map_natCast_smul
| Mathlib/Algebra/Module/Basic.lean | 28 | 43 | theorem map_inv_natCast_smul [AddCommMonoid M] [AddCommMonoid M₂] {F : Type*} [FunLike F M M₂]
[AddMonoidHomClass F M M₂] (f : F) (R S : Type*)
[DivisionSemiring R] [DivisionSemiring S] [Module R M]
[Module S M₂] (n : ℕ) (x : M) : f ((n⁻¹ : R) • x) = (n⁻¹ : S) • f x := by |
by_cases hR : (n : R) = 0 <;> by_cases hS : (n : S) = 0
· simp [hR, hS, map_zero f]
· suffices ∀ y, f y = 0 by rw [this, this, smul_zero]
clear x
intro x
rw [← inv_smul_smul₀ hS (f x), ← map_natCast_smul f R S]
simp [hR, map_zero f]
· suffices ∀ y, f y = 0 by simp [this]
clear x
intro x
rw [← smul_inv_smul₀ hR x, map_natCast_smul f R S, hS, zero_smul]
· rw [← inv_smul_smul₀ hS (f _), ← map_natCast_smul f R S, smul_inv_smul₀ hR]
|
import Mathlib.Data.Fintype.Option
import Mathlib.Data.Fintype.Perm
import Mathlib.Data.Fintype.Prod
import Mathlib.GroupTheory.Perm.Sign
import Mathlib.Logic.Equiv.Option
#align_import group_theory.perm.option from "leanprover-community/mathlib"@"c3019c79074b0619edb4b27553a91b2e82242395"
open Equiv
@[simp]
theorem Equiv.optionCongr_one {α : Type*} : (1 : Perm α).optionCongr = 1 :=
Equiv.optionCongr_refl
#align equiv.option_congr_one Equiv.optionCongr_one
@[simp]
theorem Equiv.optionCongr_swap {α : Type*} [DecidableEq α] (x y : α) :
optionCongr (swap x y) = swap (some x) (some y) := by
ext (_ | i)
· simp [swap_apply_of_ne_of_ne]
· by_cases hx : i = x
· simp only [hx, optionCongr_apply, Option.map_some', swap_apply_left, Option.mem_def,
Option.some.injEq]
by_cases hy : i = y <;> simp [hx, hy, swap_apply_of_ne_of_ne]
#align equiv.option_congr_swap Equiv.optionCongr_swap
@[simp]
| Mathlib/GroupTheory/Perm/Option.lean | 38 | 43 | theorem Equiv.optionCongr_sign {α : Type*} [DecidableEq α] [Fintype α] (e : Perm α) :
Perm.sign e.optionCongr = Perm.sign e := by |
refine Perm.swap_induction_on e ?_ ?_
· simp [Perm.one_def]
· intro f x y hne h
simp [h, hne, Perm.mul_def, ← Equiv.optionCongr_trans]
|
import Mathlib.Data.Matrix.Basis
import Mathlib.Data.Matrix.DMatrix
import Mathlib.LinearAlgebra.Matrix.Determinant.Basic
import Mathlib.LinearAlgebra.Matrix.Reindex
import Mathlib.Tactic.FieldSimp
#align_import linear_algebra.matrix.transvection from "leanprover-community/mathlib"@"0e2aab2b0d521f060f62a14d2cf2e2c54e8491d6"
universe u₁ u₂
namespace Matrix
open Matrix
variable (n p : Type*) (R : Type u₂) {𝕜 : Type*} [Field 𝕜]
variable [DecidableEq n] [DecidableEq p]
variable [CommRing R]
section Transvection
variable {R n} (i j : n)
def transvection (c : R) : Matrix n n R :=
1 + Matrix.stdBasisMatrix i j c
#align matrix.transvection Matrix.transvection
@[simp]
theorem transvection_zero : transvection i j (0 : R) = 1 := by simp [transvection]
#align matrix.transvection_zero Matrix.transvection_zero
section
theorem updateRow_eq_transvection [Finite n] (c : R) :
updateRow (1 : Matrix n n R) i ((1 : Matrix n n R) i + c • (1 : Matrix n n R) j) =
transvection i j c := by
cases nonempty_fintype n
ext a b
by_cases ha : i = a
· by_cases hb : j = b
· simp only [updateRow_self, transvection, ha, hb, Pi.add_apply, StdBasisMatrix.apply_same,
one_apply_eq, Pi.smul_apply, mul_one, Algebra.id.smul_eq_mul, add_apply]
· simp only [updateRow_self, transvection, ha, hb, StdBasisMatrix.apply_of_ne, Pi.add_apply,
Ne, not_false_iff, Pi.smul_apply, and_false_iff, one_apply_ne, Algebra.id.smul_eq_mul,
mul_zero, add_apply]
· simp only [updateRow_ne, transvection, ha, Ne.symm ha, StdBasisMatrix.apply_of_ne, add_zero,
Algebra.id.smul_eq_mul, Ne, not_false_iff, DMatrix.add_apply, Pi.smul_apply,
mul_zero, false_and_iff, add_apply]
#align matrix.update_row_eq_transvection Matrix.updateRow_eq_transvection
variable [Fintype n]
theorem transvection_mul_transvection_same (h : i ≠ j) (c d : R) :
transvection i j c * transvection i j d = transvection i j (c + d) := by
simp [transvection, Matrix.add_mul, Matrix.mul_add, h, h.symm, add_smul, add_assoc,
stdBasisMatrix_add]
#align matrix.transvection_mul_transvection_same Matrix.transvection_mul_transvection_same
@[simp]
theorem transvection_mul_apply_same (b : n) (c : R) (M : Matrix n n R) :
(transvection i j c * M) i b = M i b + c * M j b := by simp [transvection, Matrix.add_mul]
#align matrix.transvection_mul_apply_same Matrix.transvection_mul_apply_same
@[simp]
theorem mul_transvection_apply_same (a : n) (c : R) (M : Matrix n n R) :
(M * transvection i j c) a j = M a j + c * M a i := by
simp [transvection, Matrix.mul_add, mul_comm]
#align matrix.mul_transvection_apply_same Matrix.mul_transvection_apply_same
@[simp]
theorem transvection_mul_apply_of_ne (a b : n) (ha : a ≠ i) (c : R) (M : Matrix n n R) :
(transvection i j c * M) a b = M a b := by simp [transvection, Matrix.add_mul, ha]
#align matrix.transvection_mul_apply_of_ne Matrix.transvection_mul_apply_of_ne
@[simp]
theorem mul_transvection_apply_of_ne (a b : n) (hb : b ≠ j) (c : R) (M : Matrix n n R) :
(M * transvection i j c) a b = M a b := by simp [transvection, Matrix.mul_add, hb]
#align matrix.mul_transvection_apply_of_ne Matrix.mul_transvection_apply_of_ne
@[simp]
| Mathlib/LinearAlgebra/Matrix/Transvection.lean | 141 | 142 | theorem det_transvection_of_ne (h : i ≠ j) (c : R) : det (transvection i j c) = 1 := by |
rw [← updateRow_eq_transvection i j, det_updateRow_add_smul_self _ h, det_one]
|
import Mathlib.MeasureTheory.Function.L1Space
import Mathlib.Analysis.NormedSpace.IndicatorFunction
#align_import measure_theory.integral.integrable_on from "leanprover-community/mathlib"@"8b8ba04e2f326f3f7cf24ad129beda58531ada61"
noncomputable section
open Set Filter TopologicalSpace MeasureTheory Function
open scoped Classical Topology Interval Filter ENNReal MeasureTheory
variable {α β E F : Type*} [MeasurableSpace α]
section
variable [TopologicalSpace β] {l l' : Filter α} {f g : α → β} {μ ν : Measure α}
def StronglyMeasurableAtFilter (f : α → β) (l : Filter α) (μ : Measure α := by volume_tac) :=
∃ s ∈ l, AEStronglyMeasurable f (μ.restrict s)
#align strongly_measurable_at_filter StronglyMeasurableAtFilter
@[simp]
theorem stronglyMeasurableAt_bot {f : α → β} : StronglyMeasurableAtFilter f ⊥ μ :=
⟨∅, mem_bot, by simp⟩
#align strongly_measurable_at_bot stronglyMeasurableAt_bot
protected theorem StronglyMeasurableAtFilter.eventually (h : StronglyMeasurableAtFilter f l μ) :
∀ᶠ s in l.smallSets, AEStronglyMeasurable f (μ.restrict s) :=
(eventually_smallSets' fun _ _ => AEStronglyMeasurable.mono_set).2 h
#align strongly_measurable_at_filter.eventually StronglyMeasurableAtFilter.eventually
protected theorem StronglyMeasurableAtFilter.filter_mono (h : StronglyMeasurableAtFilter f l μ)
(h' : l' ≤ l) : StronglyMeasurableAtFilter f l' μ :=
let ⟨s, hsl, hs⟩ := h
⟨s, h' hsl, hs⟩
#align strongly_measurable_at_filter.filter_mono StronglyMeasurableAtFilter.filter_mono
protected theorem MeasureTheory.AEStronglyMeasurable.stronglyMeasurableAtFilter
(h : AEStronglyMeasurable f μ) : StronglyMeasurableAtFilter f l μ :=
⟨univ, univ_mem, by rwa [Measure.restrict_univ]⟩
#align measure_theory.ae_strongly_measurable.strongly_measurable_at_filter MeasureTheory.AEStronglyMeasurable.stronglyMeasurableAtFilter
theorem AeStronglyMeasurable.stronglyMeasurableAtFilter_of_mem {s}
(h : AEStronglyMeasurable f (μ.restrict s)) (hl : s ∈ l) : StronglyMeasurableAtFilter f l μ :=
⟨s, hl, h⟩
#align ae_strongly_measurable.strongly_measurable_at_filter_of_mem AeStronglyMeasurable.stronglyMeasurableAtFilter_of_mem
protected theorem MeasureTheory.StronglyMeasurable.stronglyMeasurableAtFilter
(h : StronglyMeasurable f) : StronglyMeasurableAtFilter f l μ :=
h.aestronglyMeasurable.stronglyMeasurableAtFilter
#align measure_theory.strongly_measurable.strongly_measurable_at_filter MeasureTheory.StronglyMeasurable.stronglyMeasurableAtFilter
end
namespace MeasureTheory
open MeasureTheory
variable [NormedAddCommGroup E]
| Mathlib/MeasureTheory/Integral/IntegrableOn.lean | 572 | 583 | theorem ContinuousOn.aemeasurable [TopologicalSpace α] [OpensMeasurableSpace α] [MeasurableSpace β]
[TopologicalSpace β] [BorelSpace β] {f : α → β} {s : Set α} {μ : Measure α}
(hf : ContinuousOn f s) (hs : MeasurableSet s) : AEMeasurable f (μ.restrict s) := by |
nontriviality α; inhabit α
have : (Set.piecewise s f fun _ => f default) =ᵐ[μ.restrict s] f := piecewise_ae_eq_restrict hs
refine ⟨Set.piecewise s f fun _ => f default, ?_, this.symm⟩
apply measurable_of_isOpen
intro t ht
obtain ⟨u, u_open, hu⟩ : ∃ u : Set α, IsOpen u ∧ f ⁻¹' t ∩ s = u ∩ s :=
_root_.continuousOn_iff'.1 hf t ht
rw [piecewise_preimage, Set.ite, hu]
exact (u_open.measurableSet.inter hs).union ((measurable_const ht.measurableSet).diff hs)
|
import Mathlib.Data.Int.Bitwise
import Mathlib.LinearAlgebra.Matrix.NonsingularInverse
import Mathlib.LinearAlgebra.Matrix.Symmetric
#align_import linear_algebra.matrix.zpow from "leanprover-community/mathlib"@"03fda9112aa6708947da13944a19310684bfdfcb"
open Matrix
namespace Matrix
variable {n' : Type*} [DecidableEq n'] [Fintype n'] {R : Type*} [CommRing R]
local notation "M" => Matrix n' n' R
noncomputable instance : DivInvMonoid M :=
{ show Monoid M by infer_instance, show Inv M by infer_instance with }
section NatPow
@[simp]
| Mathlib/LinearAlgebra/Matrix/ZPow.lean | 44 | 47 | theorem inv_pow' (A : M) (n : ℕ) : A⁻¹ ^ n = (A ^ n)⁻¹ := by |
induction' n with n ih
· simp
· rw [pow_succ A, mul_inv_rev, ← ih, ← pow_succ']
|
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]
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)
#align is_bounded_linear_map_prod_multilinear isBoundedLinearMap_prod_multilinear
theorem isBoundedLinearMap_continuousMultilinearMap_comp_linear (g : G →L[𝕜] E) :
IsBoundedLinearMap 𝕜 fun f : ContinuousMultilinearMap 𝕜 (fun _ : ι => E) F =>
f.compContinuousLinearMap fun _ => g := by
refine
IsLinearMap.with_bound
⟨fun f₁ f₂ => by ext; rfl,
fun c f => by ext; rfl⟩
(‖g‖ ^ Fintype.card ι) fun f => ?_
apply ContinuousMultilinearMap.opNorm_le_bound _ _ _
· apply_rules [mul_nonneg, pow_nonneg, norm_nonneg]
intro m
calc
‖f (g ∘ m)‖ ≤ ‖f‖ * ∏ i, ‖g (m i)‖ := f.le_opNorm _
_ ≤ ‖f‖ * ∏ i, ‖g‖ * ‖m i‖ := by
apply mul_le_mul_of_nonneg_left _ (norm_nonneg _)
exact Finset.prod_le_prod (fun i _ => norm_nonneg _) fun i _ => g.le_opNorm _
_ = ‖g‖ ^ Fintype.card ι * ‖f‖ * ∏ i, ‖m i‖ := by
simp only [Finset.prod_mul_distrib, Finset.prod_const, Finset.card_univ]
ring
#align is_bounded_linear_map_continuous_multilinear_map_comp_linear isBoundedLinearMap_continuousMultilinearMap_comp_linear
end
section BilinearMap
namespace ContinuousLinearMap
variable {R : Type*}
variable {𝕜₂ 𝕜' : Type*} [NontriviallyNormedField 𝕜'] [NontriviallyNormedField 𝕜₂]
variable {M : Type*} [TopologicalSpace M]
variable {σ₁₂ : 𝕜 →+* 𝕜₂}
variable {G' : Type*} [NormedAddCommGroup G'] [NormedSpace 𝕜₂ G'] [NormedSpace 𝕜' G']
variable [SMulCommClass 𝕜₂ 𝕜' G']
| Mathlib/Analysis/NormedSpace/BoundedLinearMaps.lean | 313 | 314 | theorem map_smul₂ (f : E →L[𝕜] F →L[𝕜] G) (c : 𝕜) (x : E) (y : F) : f (c • x) y = c • f x y := by |
rw [f.map_smul, smul_apply]
|
import Mathlib.Order.Filter.Basic
import Mathlib.Data.Set.Countable
#align_import order.filter.countable_Inter from "leanprover-community/mathlib"@"b9e46fe101fc897fb2e7edaf0bf1f09ea49eb81a"
open Set Filter
open Filter
variable {ι : Sort*} {α β : Type*}
class CountableInterFilter (l : Filter α) : Prop where
countable_sInter_mem : ∀ S : Set (Set α), S.Countable → (∀ s ∈ S, s ∈ l) → ⋂₀ S ∈ l
#align countable_Inter_filter CountableInterFilter
variable {l : Filter α} [CountableInterFilter l]
theorem countable_sInter_mem {S : Set (Set α)} (hSc : S.Countable) : ⋂₀ S ∈ l ↔ ∀ s ∈ S, s ∈ l :=
⟨fun hS _s hs => mem_of_superset hS (sInter_subset_of_mem hs),
CountableInterFilter.countable_sInter_mem _ hSc⟩
#align countable_sInter_mem countable_sInter_mem
theorem countable_iInter_mem [Countable ι] {s : ι → Set α} : (⋂ i, s i) ∈ l ↔ ∀ i, s i ∈ l :=
sInter_range s ▸ (countable_sInter_mem (countable_range _)).trans forall_mem_range
#align countable_Inter_mem countable_iInter_mem
theorem countable_bInter_mem {ι : Type*} {S : Set ι} (hS : S.Countable) {s : ∀ i ∈ S, Set α} :
(⋂ i, ⋂ hi : i ∈ S, s i ‹_›) ∈ l ↔ ∀ i, ∀ hi : i ∈ S, s i ‹_› ∈ l := by
rw [biInter_eq_iInter]
haveI := hS.toEncodable
exact countable_iInter_mem.trans Subtype.forall
#align countable_bInter_mem countable_bInter_mem
theorem eventually_countable_forall [Countable ι] {p : α → ι → Prop} :
(∀ᶠ x in l, ∀ i, p x i) ↔ ∀ i, ∀ᶠ x in l, p x i := by
simpa only [Filter.Eventually, setOf_forall] using
@countable_iInter_mem _ _ l _ _ fun i => { x | p x i }
#align eventually_countable_forall eventually_countable_forall
theorem eventually_countable_ball {ι : Type*} {S : Set ι} (hS : S.Countable)
{p : α → ∀ i ∈ S, Prop} :
(∀ᶠ x in l, ∀ i hi, p x i hi) ↔ ∀ i hi, ∀ᶠ x in l, p x i hi := by
simpa only [Filter.Eventually, setOf_forall] using
@countable_bInter_mem _ l _ _ _ hS fun i hi => { x | p x i hi }
#align eventually_countable_ball eventually_countable_ball
theorem EventuallyLE.countable_iUnion [Countable ι] {s t : ι → Set α} (h : ∀ i, s i ≤ᶠ[l] t i) :
⋃ i, s i ≤ᶠ[l] ⋃ i, t i :=
(eventually_countable_forall.2 h).mono fun _ hst hs => mem_iUnion.2 <| (mem_iUnion.1 hs).imp hst
#align eventually_le.countable_Union EventuallyLE.countable_iUnion
theorem EventuallyEq.countable_iUnion [Countable ι] {s t : ι → Set α} (h : ∀ i, s i =ᶠ[l] t i) :
⋃ i, s i =ᶠ[l] ⋃ i, t i :=
(EventuallyLE.countable_iUnion fun i => (h i).le).antisymm
(EventuallyLE.countable_iUnion fun i => (h i).symm.le)
#align eventually_eq.countable_Union EventuallyEq.countable_iUnion
theorem EventuallyLE.countable_bUnion {ι : Type*} {S : Set ι} (hS : S.Countable)
{s t : ∀ i ∈ S, Set α} (h : ∀ i hi, s i hi ≤ᶠ[l] t i hi) :
⋃ i ∈ S, s i ‹_› ≤ᶠ[l] ⋃ i ∈ S, t i ‹_› := by
simp only [biUnion_eq_iUnion]
haveI := hS.toEncodable
exact EventuallyLE.countable_iUnion fun i => h i i.2
#align eventually_le.countable_bUnion EventuallyLE.countable_bUnion
theorem EventuallyEq.countable_bUnion {ι : Type*} {S : Set ι} (hS : S.Countable)
{s t : ∀ i ∈ S, Set α} (h : ∀ i hi, s i hi =ᶠ[l] t i hi) :
⋃ i ∈ S, s i ‹_› =ᶠ[l] ⋃ i ∈ S, t i ‹_› :=
(EventuallyLE.countable_bUnion hS fun i hi => (h i hi).le).antisymm
(EventuallyLE.countable_bUnion hS fun i hi => (h i hi).symm.le)
#align eventually_eq.countable_bUnion EventuallyEq.countable_bUnion
theorem EventuallyLE.countable_iInter [Countable ι] {s t : ι → Set α} (h : ∀ i, s i ≤ᶠ[l] t i) :
⋂ i, s i ≤ᶠ[l] ⋂ i, t i :=
(eventually_countable_forall.2 h).mono fun _ hst hs =>
mem_iInter.2 fun i => hst _ (mem_iInter.1 hs i)
#align eventually_le.countable_Inter EventuallyLE.countable_iInter
theorem EventuallyEq.countable_iInter [Countable ι] {s t : ι → Set α} (h : ∀ i, s i =ᶠ[l] t i) :
⋂ i, s i =ᶠ[l] ⋂ i, t i :=
(EventuallyLE.countable_iInter fun i => (h i).le).antisymm
(EventuallyLE.countable_iInter fun i => (h i).symm.le)
#align eventually_eq.countable_Inter EventuallyEq.countable_iInter
theorem EventuallyLE.countable_bInter {ι : Type*} {S : Set ι} (hS : S.Countable)
{s t : ∀ i ∈ S, Set α} (h : ∀ i hi, s i hi ≤ᶠ[l] t i hi) :
⋂ i ∈ S, s i ‹_› ≤ᶠ[l] ⋂ i ∈ S, t i ‹_› := by
simp only [biInter_eq_iInter]
haveI := hS.toEncodable
exact EventuallyLE.countable_iInter fun i => h i i.2
#align eventually_le.countable_bInter EventuallyLE.countable_bInter
theorem EventuallyEq.countable_bInter {ι : Type*} {S : Set ι} (hS : S.Countable)
{s t : ∀ i ∈ S, Set α} (h : ∀ i hi, s i hi =ᶠ[l] t i hi) :
⋂ i ∈ S, s i ‹_› =ᶠ[l] ⋂ i ∈ S, t i ‹_› :=
(EventuallyLE.countable_bInter hS fun i hi => (h i hi).le).antisymm
(EventuallyLE.countable_bInter hS fun i hi => (h i hi).symm.le)
#align eventually_eq.countable_bInter EventuallyEq.countable_bInter
def Filter.ofCountableInter (l : Set (Set α))
(hl : ∀ S : Set (Set α), S.Countable → S ⊆ l → ⋂₀ S ∈ l)
(h_mono : ∀ s t, s ∈ l → s ⊆ t → t ∈ l) : Filter α where
sets := l
univ_sets := @sInter_empty α ▸ hl _ countable_empty (empty_subset _)
sets_of_superset := h_mono _ _
inter_sets {s t} hs ht := sInter_pair s t ▸
hl _ ((countable_singleton _).insert _) (insert_subset_iff.2 ⟨hs, singleton_subset_iff.2 ht⟩)
#align filter.of_countable_Inter Filter.ofCountableInter
instance Filter.countableInter_ofCountableInter (l : Set (Set α))
(hl : ∀ S : Set (Set α), S.Countable → S ⊆ l → ⋂₀ S ∈ l)
(h_mono : ∀ s t, s ∈ l → s ⊆ t → t ∈ l) :
CountableInterFilter (Filter.ofCountableInter l hl h_mono) :=
⟨hl⟩
#align filter.countable_Inter_of_countable_Inter Filter.countableInter_ofCountableInter
@[simp]
theorem Filter.mem_ofCountableInter {l : Set (Set α)}
(hl : ∀ S : Set (Set α), S.Countable → S ⊆ l → ⋂₀ S ∈ l) (h_mono : ∀ s t, s ∈ l → s ⊆ t → t ∈ l)
{s : Set α} : s ∈ Filter.ofCountableInter l hl h_mono ↔ s ∈ l :=
Iff.rfl
#align filter.mem_of_countable_Inter Filter.mem_ofCountableInter
def Filter.ofCountableUnion (l : Set (Set α))
(hUnion : ∀ S : Set (Set α), S.Countable → (∀ s ∈ S, s ∈ l) → ⋃₀ S ∈ l)
(hmono : ∀ t ∈ l, ∀ s ⊆ t, s ∈ l) : Filter α := by
refine .ofCountableInter {s | sᶜ ∈ l} (fun S hSc hSp ↦ ?_) fun s t ht hsub ↦ ?_
· rw [mem_setOf_eq, compl_sInter]
apply hUnion (compl '' S) (hSc.image _)
intro s hs
rw [mem_image] at hs
rcases hs with ⟨t, ht, rfl⟩
apply hSp ht
· rw [mem_setOf_eq]
rw [← compl_subset_compl] at hsub
exact hmono sᶜ ht tᶜ hsub
instance Filter.countableInter_ofCountableUnion (l : Set (Set α)) (h₁ h₂) :
CountableInterFilter (Filter.ofCountableUnion l h₁ h₂) :=
countableInter_ofCountableInter ..
@[simp]
theorem Filter.mem_ofCountableUnion {l : Set (Set α)} {hunion hmono s} :
s ∈ ofCountableUnion l hunion hmono ↔ l sᶜ :=
Iff.rfl
instance countableInterFilter_principal (s : Set α) : CountableInterFilter (𝓟 s) :=
⟨fun _ _ hS => subset_sInter hS⟩
#align countable_Inter_filter_principal countableInterFilter_principal
instance countableInterFilter_bot : CountableInterFilter (⊥ : Filter α) := by
rw [← principal_empty]
apply countableInterFilter_principal
#align countable_Inter_filter_bot countableInterFilter_bot
instance countableInterFilter_top : CountableInterFilter (⊤ : Filter α) := by
rw [← principal_univ]
apply countableInterFilter_principal
#align countable_Inter_filter_top countableInterFilter_top
instance (l : Filter β) [CountableInterFilter l] (f : α → β) :
CountableInterFilter (comap f l) := by
refine ⟨fun S hSc hS => ?_⟩
choose! t htl ht using hS
have : (⋂ s ∈ S, t s) ∈ l := (countable_bInter_mem hSc).2 htl
refine ⟨_, this, ?_⟩
simpa [preimage_iInter] using iInter₂_mono ht
instance (l : Filter α) [CountableInterFilter l] (f : α → β) : CountableInterFilter (map f l) := by
refine ⟨fun S hSc hS => ?_⟩
simp only [mem_map, sInter_eq_biInter, preimage_iInter₂] at hS ⊢
exact (countable_bInter_mem hSc).2 hS
instance countableInterFilter_inf (l₁ l₂ : Filter α) [CountableInterFilter l₁]
[CountableInterFilter l₂] : CountableInterFilter (l₁ ⊓ l₂) := by
refine ⟨fun S hSc hS => ?_⟩
choose s hs t ht hst using hS
replace hs : (⋂ i ∈ S, s i ‹_›) ∈ l₁ := (countable_bInter_mem hSc).2 hs
replace ht : (⋂ i ∈ S, t i ‹_›) ∈ l₂ := (countable_bInter_mem hSc).2 ht
refine mem_of_superset (inter_mem_inf hs ht) (subset_sInter fun i hi => ?_)
rw [hst i hi]
apply inter_subset_inter <;> exact iInter_subset_of_subset i (iInter_subset _ _)
#align countable_Inter_filter_inf countableInterFilter_inf
instance countableInterFilter_sup (l₁ l₂ : Filter α) [CountableInterFilter l₁]
[CountableInterFilter l₂] : CountableInterFilter (l₁ ⊔ l₂) := by
refine ⟨fun S hSc hS => ⟨?_, ?_⟩⟩ <;> refine (countable_sInter_mem hSc).2 fun s hs => ?_
exacts [(hS s hs).1, (hS s hs).2]
#align countable_Inter_filter_sup countableInterFilter_sup
namespace Filter
variable (g : Set (Set α))
inductive CountableGenerateSets : Set α → Prop
| basic {s : Set α} : s ∈ g → CountableGenerateSets s
| univ : CountableGenerateSets univ
| superset {s t : Set α} : CountableGenerateSets s → s ⊆ t → CountableGenerateSets t
| sInter {S : Set (Set α)} :
S.Countable → (∀ s ∈ S, CountableGenerateSets s) → CountableGenerateSets (⋂₀ S)
#align filter.countable_generate_sets Filter.CountableGenerateSets
def countableGenerate : Filter α :=
ofCountableInter (CountableGenerateSets g) (fun _ => CountableGenerateSets.sInter) fun _ _ =>
CountableGenerateSets.superset
--deriving CountableInterFilter
#align filter.countable_generate Filter.countableGenerate
-- Porting note: could not de derived
instance : CountableInterFilter (countableGenerate g) := by
delta countableGenerate; infer_instance
variable {g}
theorem mem_countableGenerate_iff {s : Set α} :
s ∈ countableGenerate g ↔ ∃ S : Set (Set α), S ⊆ g ∧ S.Countable ∧ ⋂₀ S ⊆ s := by
constructor <;> intro h
· induction' h with s hs s t _ st ih S Sct _ ih
· exact ⟨{s}, by simp [hs, subset_refl]⟩
· exact ⟨∅, by simp⟩
· refine Exists.imp (fun S => ?_) ih
tauto
choose T Tg Tct hT using ih
refine ⟨⋃ (s) (H : s ∈ S), T s H, by simpa, Sct.biUnion Tct, ?_⟩
apply subset_sInter
intro s H
exact subset_trans (sInter_subset_sInter (subset_iUnion₂ s H)) (hT s H)
rcases h with ⟨S, Sg, Sct, hS⟩
refine mem_of_superset ((countable_sInter_mem Sct).mpr ?_) hS
intro s H
exact CountableGenerateSets.basic (Sg H)
#align filter.mem_countable_generate_iff Filter.mem_countableGenerate_iff
| Mathlib/Order/Filter/CountableInter.lean | 280 | 289 | theorem le_countableGenerate_iff_of_countableInterFilter {f : Filter α} [CountableInterFilter f] :
f ≤ countableGenerate g ↔ g ⊆ f.sets := by |
constructor <;> intro h
· exact subset_trans (fun s => CountableGenerateSets.basic) h
intro s hs
induction' hs with s hs s t _ st ih S Sct _ ih
· exact h hs
· exact univ_mem
· exact mem_of_superset ih st
exact (countable_sInter_mem Sct).mpr ih
|
import Mathlib.Algebra.BigOperators.Group.Finset
import Mathlib.LinearAlgebra.Vandermonde
import Mathlib.RingTheory.Polynomial.Basic
#align_import linear_algebra.lagrange from "leanprover-community/mathlib"@"70fd9563a21e7b963887c9360bd29b2393e6225a"
open Polynomial
section PolynomialDetermination
namespace Polynomial
variable {R : Type*} [CommRing R] [IsDomain R] {f g : R[X]}
section Finset
open Function Fintype
variable (s : Finset R)
theorem eq_zero_of_degree_lt_of_eval_finset_eq_zero (degree_f_lt : f.degree < s.card)
(eval_f : ∀ x ∈ s, f.eval x = 0) : f = 0 := by
rw [← mem_degreeLT] at degree_f_lt
simp_rw [eval_eq_sum_degreeLTEquiv degree_f_lt] at eval_f
rw [← degreeLTEquiv_eq_zero_iff_eq_zero degree_f_lt]
exact
Matrix.eq_zero_of_forall_index_sum_mul_pow_eq_zero
(Injective.comp (Embedding.subtype _).inj' (equivFinOfCardEq (card_coe _)).symm.injective)
fun _ => eval_f _ (Finset.coe_mem _)
#align polynomial.eq_zero_of_degree_lt_of_eval_finset_eq_zero Polynomial.eq_zero_of_degree_lt_of_eval_finset_eq_zero
theorem eq_of_degree_sub_lt_of_eval_finset_eq (degree_fg_lt : (f - g).degree < s.card)
(eval_fg : ∀ x ∈ s, f.eval x = g.eval x) : f = g := by
rw [← sub_eq_zero]
refine eq_zero_of_degree_lt_of_eval_finset_eq_zero _ degree_fg_lt ?_
simp_rw [eval_sub, sub_eq_zero]
exact eval_fg
#align polynomial.eq_of_degree_sub_lt_of_eval_finset_eq Polynomial.eq_of_degree_sub_lt_of_eval_finset_eq
theorem eq_of_degrees_lt_of_eval_finset_eq (degree_f_lt : f.degree < s.card)
(degree_g_lt : g.degree < s.card) (eval_fg : ∀ x ∈ s, f.eval x = g.eval x) : f = g := by
rw [← mem_degreeLT] at degree_f_lt degree_g_lt
refine eq_of_degree_sub_lt_of_eval_finset_eq _ ?_ eval_fg
rw [← mem_degreeLT]; exact Submodule.sub_mem _ degree_f_lt degree_g_lt
#align polynomial.eq_of_degrees_lt_of_eval_finset_eq Polynomial.eq_of_degrees_lt_of_eval_finset_eq
| Mathlib/LinearAlgebra/Lagrange.lean | 74 | 83 | theorem eq_of_degree_le_of_eval_finset_eq
(h_deg_le : f.degree ≤ s.card)
(h_deg_eq : f.degree = g.degree)
(hlc : f.leadingCoeff = g.leadingCoeff)
(h_eval : ∀ x ∈ s, f.eval x = g.eval x) :
f = g := by |
rcases eq_or_ne f 0 with rfl | hf
· rwa [degree_zero, eq_comm, degree_eq_bot, eq_comm] at h_deg_eq
· exact eq_of_degree_sub_lt_of_eval_finset_eq s
(lt_of_lt_of_le (degree_sub_lt h_deg_eq hf hlc) h_deg_le) h_eval
|
import Mathlib.Algebra.Group.Basic
import Mathlib.Algebra.Order.Monoid.Canonical.Defs
import Mathlib.Data.Set.Function
import Mathlib.Order.Interval.Set.Basic
#align_import data.set.intervals.monoid from "leanprover-community/mathlib"@"aba57d4d3dae35460225919dcd82fe91355162f9"
namespace Set
variable {M : Type*} [OrderedCancelAddCommMonoid M] [ExistsAddOfLE M] (a b c d : M)
theorem Ici_add_bij : BijOn (· + d) (Ici a) (Ici (a + d)) := by
refine
⟨fun x h => add_le_add_right (mem_Ici.mp h) _, (add_left_injective d).injOn, fun _ h => ?_⟩
obtain ⟨c, rfl⟩ := exists_add_of_le (mem_Ici.mp h)
rw [mem_Ici, add_right_comm, add_le_add_iff_right] at h
exact ⟨a + c, h, by rw [add_right_comm]⟩
#align set.Ici_add_bij Set.Ici_add_bij
theorem Ioi_add_bij : BijOn (· + d) (Ioi a) (Ioi (a + d)) := by
refine
⟨fun x h => add_lt_add_right (mem_Ioi.mp h) _, fun _ _ _ _ h => add_right_cancel h, fun _ h =>
?_⟩
obtain ⟨c, rfl⟩ := exists_add_of_le (mem_Ioi.mp h).le
rw [mem_Ioi, add_right_comm, add_lt_add_iff_right] at h
exact ⟨a + c, h, by rw [add_right_comm]⟩
#align set.Ioi_add_bij Set.Ioi_add_bij
theorem Icc_add_bij : BijOn (· + d) (Icc a b) (Icc (a + d) (b + d)) := by
rw [← Ici_inter_Iic, ← Ici_inter_Iic]
exact
(Ici_add_bij a d).inter_mapsTo (fun x hx => add_le_add_right hx _) fun x hx =>
le_of_add_le_add_right hx.2
#align set.Icc_add_bij Set.Icc_add_bij
theorem Ioo_add_bij : BijOn (· + d) (Ioo a b) (Ioo (a + d) (b + d)) := by
rw [← Ioi_inter_Iio, ← Ioi_inter_Iio]
exact
(Ioi_add_bij a d).inter_mapsTo (fun x hx => add_lt_add_right hx _) fun x hx =>
lt_of_add_lt_add_right hx.2
#align set.Ioo_add_bij Set.Ioo_add_bij
theorem Ioc_add_bij : BijOn (· + d) (Ioc a b) (Ioc (a + d) (b + d)) := by
rw [← Ioi_inter_Iic, ← Ioi_inter_Iic]
exact
(Ioi_add_bij a d).inter_mapsTo (fun x hx => add_le_add_right hx _) fun x hx =>
le_of_add_le_add_right hx.2
#align set.Ioc_add_bij Set.Ioc_add_bij
theorem Ico_add_bij : BijOn (· + d) (Ico a b) (Ico (a + d) (b + d)) := by
rw [← Ici_inter_Iio, ← Ici_inter_Iio]
exact
(Ici_add_bij a d).inter_mapsTo (fun x hx => add_lt_add_right hx _) fun x hx =>
lt_of_add_lt_add_right hx.2
#align set.Ico_add_bij Set.Ico_add_bij
@[simp]
theorem image_add_const_Ici : (fun x => x + a) '' Ici b = Ici (b + a) :=
(Ici_add_bij _ _).image_eq
#align set.image_add_const_Ici Set.image_add_const_Ici
@[simp]
theorem image_add_const_Ioi : (fun x => x + a) '' Ioi b = Ioi (b + a) :=
(Ioi_add_bij _ _).image_eq
#align set.image_add_const_Ioi Set.image_add_const_Ioi
@[simp]
theorem image_add_const_Icc : (fun x => x + a) '' Icc b c = Icc (b + a) (c + a) :=
(Icc_add_bij _ _ _).image_eq
#align set.image_add_const_Icc Set.image_add_const_Icc
@[simp]
theorem image_add_const_Ico : (fun x => x + a) '' Ico b c = Ico (b + a) (c + a) :=
(Ico_add_bij _ _ _).image_eq
#align set.image_add_const_Ico Set.image_add_const_Ico
@[simp]
theorem image_add_const_Ioc : (fun x => x + a) '' Ioc b c = Ioc (b + a) (c + a) :=
(Ioc_add_bij _ _ _).image_eq
#align set.image_add_const_Ioc Set.image_add_const_Ioc
@[simp]
theorem image_add_const_Ioo : (fun x => x + a) '' Ioo b c = Ioo (b + a) (c + a) :=
(Ioo_add_bij _ _ _).image_eq
#align set.image_add_const_Ioo Set.image_add_const_Ioo
@[simp]
theorem image_const_add_Ici : (fun x => a + x) '' Ici b = Ici (a + b) := by
simp only [add_comm a, image_add_const_Ici]
#align set.image_const_add_Ici Set.image_const_add_Ici
@[simp]
theorem image_const_add_Ioi : (fun x => a + x) '' Ioi b = Ioi (a + b) := by
simp only [add_comm a, image_add_const_Ioi]
#align set.image_const_add_Ioi Set.image_const_add_Ioi
@[simp]
theorem image_const_add_Icc : (fun x => a + x) '' Icc b c = Icc (a + b) (a + c) := by
simp only [add_comm a, image_add_const_Icc]
#align set.image_const_add_Icc Set.image_const_add_Icc
@[simp]
| Mathlib/Algebra/Order/Interval/Set/Monoid.lean | 128 | 129 | theorem image_const_add_Ico : (fun x => a + x) '' Ico b c = Ico (a + b) (a + c) := by |
simp only [add_comm a, image_add_const_Ico]
|
import Mathlib.MeasureTheory.PiSystem
import Mathlib.Order.OmegaCompletePartialOrder
import Mathlib.Topology.Constructions
import Mathlib.MeasureTheory.MeasurableSpace.Basic
open Set
namespace MeasureTheory
variable {ι : Type _} {α : ι → Type _}
section cylinder
def cylinder (s : Finset ι) (S : Set (∀ i : s, α i)) : Set (∀ i, α i) :=
(fun (f : ∀ i, α i) (i : s) ↦ f i) ⁻¹' S
@[simp]
theorem mem_cylinder (s : Finset ι) (S : Set (∀ i : s, α i)) (f : ∀ i, α i) :
f ∈ cylinder s S ↔ (fun i : s ↦ f i) ∈ S :=
mem_preimage
@[simp]
theorem cylinder_empty (s : Finset ι) : cylinder s (∅ : Set (∀ i : s, α i)) = ∅ := by
rw [cylinder, preimage_empty]
@[simp]
theorem cylinder_univ (s : Finset ι) : cylinder s (univ : Set (∀ i : s, α i)) = univ := by
rw [cylinder, preimage_univ]
@[simp]
theorem cylinder_eq_empty_iff [h_nonempty : Nonempty (∀ i, α i)] (s : Finset ι)
(S : Set (∀ i : s, α i)) :
cylinder s S = ∅ ↔ S = ∅ := by
refine ⟨fun h ↦ ?_, fun h ↦ by (rw [h]; exact cylinder_empty _)⟩
by_contra hS
rw [← Ne, ← nonempty_iff_ne_empty] at hS
let f := hS.some
have hf : f ∈ S := hS.choose_spec
classical
let f' : ∀ i, α i := fun i ↦ if hi : i ∈ s then f ⟨i, hi⟩ else h_nonempty.some i
have hf' : f' ∈ cylinder s S := by
rw [mem_cylinder]
simpa only [f', Finset.coe_mem, dif_pos]
rw [h] at hf'
exact not_mem_empty _ hf'
theorem inter_cylinder (s₁ s₂ : Finset ι) (S₁ : Set (∀ i : s₁, α i)) (S₂ : Set (∀ i : s₂, α i))
[DecidableEq ι] :
cylinder s₁ S₁ ∩ cylinder s₂ S₂ =
cylinder (s₁ ∪ s₂)
((fun f ↦ fun j : s₁ ↦ f ⟨j, Finset.mem_union_left s₂ j.prop⟩) ⁻¹' S₁ ∩
(fun f ↦ fun j : s₂ ↦ f ⟨j, Finset.mem_union_right s₁ j.prop⟩) ⁻¹' S₂) := by
ext1 f; simp only [mem_inter_iff, mem_cylinder, mem_setOf_eq]; rfl
theorem inter_cylinder_same (s : Finset ι) (S₁ : Set (∀ i : s, α i)) (S₂ : Set (∀ i : s, α i)) :
cylinder s S₁ ∩ cylinder s S₂ = cylinder s (S₁ ∩ S₂) := by
classical rw [inter_cylinder]; rfl
theorem union_cylinder (s₁ s₂ : Finset ι) (S₁ : Set (∀ i : s₁, α i)) (S₂ : Set (∀ i : s₂, α i))
[DecidableEq ι] :
cylinder s₁ S₁ ∪ cylinder s₂ S₂ =
cylinder (s₁ ∪ s₂)
((fun f ↦ fun j : s₁ ↦ f ⟨j, Finset.mem_union_left s₂ j.prop⟩) ⁻¹' S₁ ∪
(fun f ↦ fun j : s₂ ↦ f ⟨j, Finset.mem_union_right s₁ j.prop⟩) ⁻¹' S₂) := by
ext1 f; simp only [mem_union, mem_cylinder, mem_setOf_eq]; rfl
theorem union_cylinder_same (s : Finset ι) (S₁ : Set (∀ i : s, α i)) (S₂ : Set (∀ i : s, α i)) :
cylinder s S₁ ∪ cylinder s S₂ = cylinder s (S₁ ∪ S₂) := by
classical rw [union_cylinder]; rfl
| Mathlib/MeasureTheory/Constructions/Cylinders.lean | 209 | 211 | theorem compl_cylinder (s : Finset ι) (S : Set (∀ i : s, α i)) :
(cylinder s S)ᶜ = cylinder s (Sᶜ) := by |
ext1 f; simp only [mem_compl_iff, mem_cylinder]
|
import Mathlib.Analysis.SpecialFunctions.Integrals
import Mathlib.MeasureTheory.Measure.Lebesgue.EqHaar
import Mathlib.MeasureTheory.Integral.Layercake
#align_import analysis.special_functions.japanese_bracket from "leanprover-community/mathlib"@"fd5edc43dc4f10b85abfe544b88f82cf13c5f844"
noncomputable section
open scoped NNReal Filter Topology ENNReal
open Asymptotics Filter Set Real MeasureTheory FiniteDimensional
variable {E : Type*} [NormedAddCommGroup E]
| Mathlib/Analysis/SpecialFunctions/JapaneseBracket.lean | 36 | 38 | theorem sqrt_one_add_norm_sq_le (x : E) : √((1 : ℝ) + ‖x‖ ^ 2) ≤ 1 + ‖x‖ := by |
rw [sqrt_le_left (by positivity)]
simp [add_sq]
|
import Mathlib.Algebra.Homology.Homotopy
import Mathlib.AlgebraicTopology.DoldKan.Notations
#align_import algebraic_topology.dold_kan.homotopies from "leanprover-community/mathlib"@"b12099d3b7febf4209824444dd836ef5ad96db55"
open CategoryTheory CategoryTheory.Category CategoryTheory.Limits CategoryTheory.Preadditive
CategoryTheory.SimplicialObject Homotopy Opposite Simplicial DoldKan
noncomputable section
namespace AlgebraicTopology
namespace DoldKan
variable {C : Type*} [Category C] [Preadditive C]
variable {X : SimplicialObject C}
abbrev c :=
ComplexShape.down ℕ
#align algebraic_topology.dold_kan.c AlgebraicTopology.DoldKan.c
theorem c_mk (i j : ℕ) (h : j + 1 = i) : c.Rel i j :=
ComplexShape.down_mk i j h
#align algebraic_topology.dold_kan.c_mk AlgebraicTopology.DoldKan.c_mk
theorem cs_down_0_not_rel_left (j : ℕ) : ¬c.Rel 0 j := by
intro hj
dsimp at hj
apply Nat.not_succ_le_zero j
rw [Nat.succ_eq_add_one, hj]
#align algebraic_topology.dold_kan.cs_down_0_not_rel_left AlgebraicTopology.DoldKan.cs_down_0_not_rel_left
def hσ (q : ℕ) (n : ℕ) : X _[n] ⟶ X _[n + 1] :=
if n < q then 0 else (-1 : ℤ) ^ (n - q) • X.σ ⟨n - q, Nat.lt_succ_of_le (Nat.sub_le _ _)⟩
#align algebraic_topology.dold_kan.hσ AlgebraicTopology.DoldKan.hσ
def hσ' (q : ℕ) : ∀ n m, c.Rel m n → (K[X].X n ⟶ K[X].X m) := fun n m hnm =>
hσ q n ≫ eqToHom (by congr)
#align algebraic_topology.dold_kan.hσ' AlgebraicTopology.DoldKan.hσ'
theorem hσ'_eq_zero {q n m : ℕ} (hnq : n < q) (hnm : c.Rel m n) :
(hσ' q n m hnm : X _[n] ⟶ X _[m]) = 0 := by
simp only [hσ', hσ]
split_ifs
exact zero_comp
#align algebraic_topology.dold_kan.hσ'_eq_zero AlgebraicTopology.DoldKan.hσ'_eq_zero
theorem hσ'_eq {q n a m : ℕ} (ha : n = a + q) (hnm : c.Rel m n) :
(hσ' q n m hnm : X _[n] ⟶ X _[m]) =
((-1 : ℤ) ^ a • X.σ ⟨a, Nat.lt_succ_iff.mpr (Nat.le.intro (Eq.symm ha))⟩) ≫
eqToHom (by congr) := by
simp only [hσ', hσ]
split_ifs
· omega
· have h' := tsub_eq_of_eq_add ha
congr
#align algebraic_topology.dold_kan.hσ'_eq AlgebraicTopology.DoldKan.hσ'_eq
| Mathlib/AlgebraicTopology/DoldKan/Homotopies.lean | 122 | 125 | theorem hσ'_eq' {q n a : ℕ} (ha : n = a + q) :
(hσ' q n (n + 1) rfl : X _[n] ⟶ X _[n + 1]) =
(-1 : ℤ) ^ a • X.σ ⟨a, Nat.lt_succ_iff.mpr (Nat.le.intro (Eq.symm ha))⟩ := by |
rw [hσ'_eq ha rfl, eqToHom_refl, comp_id]
|
import Mathlib.Analysis.Calculus.ContDiff.Defs
import Mathlib.Analysis.Calculus.FDeriv.Add
import Mathlib.Analysis.Calculus.FDeriv.Mul
import Mathlib.Analysis.Calculus.Deriv.Inverse
#align_import analysis.calculus.cont_diff from "leanprover-community/mathlib"@"3bce8d800a6f2b8f63fe1e588fd76a9ff4adcebe"
noncomputable section
open scoped Classical NNReal Nat
local notation "∞" => (⊤ : ℕ∞)
universe u v w uD uE uF uG
attribute [local instance 1001]
NormedAddCommGroup.toAddCommGroup NormedSpace.toModule' AddCommGroup.toAddCommMonoid
open Set Fin Filter Function
open scoped Topology
variable {𝕜 : Type*} [NontriviallyNormedField 𝕜] {D : Type uD} [NormedAddCommGroup D]
[NormedSpace 𝕜 D] {E : Type uE} [NormedAddCommGroup E] [NormedSpace 𝕜 E] {F : Type uF}
[NormedAddCommGroup F] [NormedSpace 𝕜 F] {G : Type uG} [NormedAddCommGroup G] [NormedSpace 𝕜 G]
{X : Type*} [NormedAddCommGroup X] [NormedSpace 𝕜 X] {s s₁ t u : Set E} {f f₁ : E → F}
{g : F → G} {x x₀ : E} {c : F} {b : E × F → G} {m n : ℕ∞} {p : E → FormalMultilinearSeries 𝕜 E F}
@[simp]
theorem iteratedFDerivWithin_zero_fun (hs : UniqueDiffOn 𝕜 s) (hx : x ∈ s) {i : ℕ} :
iteratedFDerivWithin 𝕜 i (fun _ : E ↦ (0 : F)) s x = 0 := by
induction i generalizing x with
| zero => ext; simp
| succ i IH =>
ext m
rw [iteratedFDerivWithin_succ_apply_left, fderivWithin_congr (fun _ ↦ IH) (IH hx)]
rw [fderivWithin_const_apply _ (hs x hx)]
rfl
@[simp]
theorem iteratedFDeriv_zero_fun {n : ℕ} : (iteratedFDeriv 𝕜 n fun _ : E ↦ (0 : F)) = 0 :=
funext fun x ↦ by simpa [← iteratedFDerivWithin_univ] using
iteratedFDerivWithin_zero_fun uniqueDiffOn_univ (mem_univ x)
#align iterated_fderiv_zero_fun iteratedFDeriv_zero_fun
theorem contDiff_zero_fun : ContDiff 𝕜 n fun _ : E => (0 : F) :=
contDiff_of_differentiable_iteratedFDeriv fun m _ => by
rw [iteratedFDeriv_zero_fun]
exact differentiable_const (0 : E[×m]→L[𝕜] F)
#align cont_diff_zero_fun contDiff_zero_fun
theorem contDiff_const {c : F} : ContDiff 𝕜 n fun _ : E => c := by
suffices h : ContDiff 𝕜 ∞ fun _ : E => c from h.of_le le_top
rw [contDiff_top_iff_fderiv]
refine ⟨differentiable_const c, ?_⟩
rw [fderiv_const]
exact contDiff_zero_fun
#align cont_diff_const contDiff_const
theorem contDiffOn_const {c : F} {s : Set E} : ContDiffOn 𝕜 n (fun _ : E => c) s :=
contDiff_const.contDiffOn
#align cont_diff_on_const contDiffOn_const
theorem contDiffAt_const {c : F} : ContDiffAt 𝕜 n (fun _ : E => c) x :=
contDiff_const.contDiffAt
#align cont_diff_at_const contDiffAt_const
theorem contDiffWithinAt_const {c : F} : ContDiffWithinAt 𝕜 n (fun _ : E => c) s x :=
contDiffAt_const.contDiffWithinAt
#align cont_diff_within_at_const contDiffWithinAt_const
@[nontriviality]
theorem contDiff_of_subsingleton [Subsingleton F] : ContDiff 𝕜 n f := by
rw [Subsingleton.elim f fun _ => 0]; exact contDiff_const
#align cont_diff_of_subsingleton contDiff_of_subsingleton
@[nontriviality]
theorem contDiffAt_of_subsingleton [Subsingleton F] : ContDiffAt 𝕜 n f x := by
rw [Subsingleton.elim f fun _ => 0]; exact contDiffAt_const
#align cont_diff_at_of_subsingleton contDiffAt_of_subsingleton
@[nontriviality]
theorem contDiffWithinAt_of_subsingleton [Subsingleton F] : ContDiffWithinAt 𝕜 n f s x := by
rw [Subsingleton.elim f fun _ => 0]; exact contDiffWithinAt_const
#align cont_diff_within_at_of_subsingleton contDiffWithinAt_of_subsingleton
@[nontriviality]
theorem contDiffOn_of_subsingleton [Subsingleton F] : ContDiffOn 𝕜 n f s := by
rw [Subsingleton.elim f fun _ => 0]; exact contDiffOn_const
#align cont_diff_on_of_subsingleton contDiffOn_of_subsingleton
theorem iteratedFDerivWithin_succ_const (n : ℕ) (c : F) (hs : UniqueDiffOn 𝕜 s) (hx : x ∈ s) :
iteratedFDerivWithin 𝕜 (n + 1) (fun _ : E ↦ c) s x = 0 := by
ext m
rw [iteratedFDerivWithin_succ_apply_right hs hx]
rw [iteratedFDerivWithin_congr (fun y hy ↦ fderivWithin_const_apply c (hs y hy)) hx]
rw [iteratedFDerivWithin_zero_fun hs hx]
simp [ContinuousMultilinearMap.zero_apply (R := 𝕜)]
theorem iteratedFDeriv_succ_const (n : ℕ) (c : F) :
(iteratedFDeriv 𝕜 (n + 1) fun _ : E ↦ c) = 0 :=
funext fun x ↦ by simpa [← iteratedFDerivWithin_univ] using
iteratedFDerivWithin_succ_const n c uniqueDiffOn_univ (mem_univ x)
#align iterated_fderiv_succ_const iteratedFDeriv_succ_const
theorem iteratedFDerivWithin_const_of_ne {n : ℕ} (hn : n ≠ 0) (c : F)
(hs : UniqueDiffOn 𝕜 s) (hx : x ∈ s) :
iteratedFDerivWithin 𝕜 n (fun _ : E ↦ c) s x = 0 := by
cases n with
| zero => contradiction
| succ n => exact iteratedFDerivWithin_succ_const n c hs hx
theorem iteratedFDeriv_const_of_ne {n : ℕ} (hn : n ≠ 0) (c : F) :
(iteratedFDeriv 𝕜 n fun _ : E ↦ c) = 0 :=
funext fun x ↦ by simpa [← iteratedFDerivWithin_univ] using
iteratedFDerivWithin_const_of_ne hn c uniqueDiffOn_univ (mem_univ x)
#align iterated_fderiv_const_of_ne iteratedFDeriv_const_of_ne
theorem IsBoundedLinearMap.contDiff (hf : IsBoundedLinearMap 𝕜 f) : ContDiff 𝕜 n f := by
suffices h : ContDiff 𝕜 ∞ f from h.of_le le_top
rw [contDiff_top_iff_fderiv]
refine ⟨hf.differentiable, ?_⟩
simp_rw [hf.fderiv]
exact contDiff_const
#align is_bounded_linear_map.cont_diff IsBoundedLinearMap.contDiff
theorem ContinuousLinearMap.contDiff (f : E →L[𝕜] F) : ContDiff 𝕜 n f :=
f.isBoundedLinearMap.contDiff
#align continuous_linear_map.cont_diff ContinuousLinearMap.contDiff
theorem ContinuousLinearEquiv.contDiff (f : E ≃L[𝕜] F) : ContDiff 𝕜 n f :=
(f : E →L[𝕜] F).contDiff
#align continuous_linear_equiv.cont_diff ContinuousLinearEquiv.contDiff
theorem LinearIsometry.contDiff (f : E →ₗᵢ[𝕜] F) : ContDiff 𝕜 n f :=
f.toContinuousLinearMap.contDiff
#align linear_isometry.cont_diff LinearIsometry.contDiff
theorem LinearIsometryEquiv.contDiff (f : E ≃ₗᵢ[𝕜] F) : ContDiff 𝕜 n f :=
(f : E →L[𝕜] F).contDiff
#align linear_isometry_equiv.cont_diff LinearIsometryEquiv.contDiff
theorem contDiff_id : ContDiff 𝕜 n (id : E → E) :=
IsBoundedLinearMap.id.contDiff
#align cont_diff_id contDiff_id
theorem contDiffWithinAt_id {s x} : ContDiffWithinAt 𝕜 n (id : E → E) s x :=
contDiff_id.contDiffWithinAt
#align cont_diff_within_at_id contDiffWithinAt_id
theorem contDiffAt_id {x} : ContDiffAt 𝕜 n (id : E → E) x :=
contDiff_id.contDiffAt
#align cont_diff_at_id contDiffAt_id
theorem contDiffOn_id {s} : ContDiffOn 𝕜 n (id : E → E) s :=
contDiff_id.contDiffOn
#align cont_diff_on_id contDiffOn_id
theorem IsBoundedBilinearMap.contDiff (hb : IsBoundedBilinearMap 𝕜 b) : ContDiff 𝕜 n b := by
suffices h : ContDiff 𝕜 ∞ b from h.of_le le_top
rw [contDiff_top_iff_fderiv]
refine ⟨hb.differentiable, ?_⟩
simp only [hb.fderiv]
exact hb.isBoundedLinearMap_deriv.contDiff
#align is_bounded_bilinear_map.cont_diff IsBoundedBilinearMap.contDiff
theorem HasFTaylorSeriesUpToOn.continuousLinearMap_comp (g : F →L[𝕜] G)
(hf : HasFTaylorSeriesUpToOn n f p s) :
HasFTaylorSeriesUpToOn n (g ∘ f) (fun x k => g.compContinuousMultilinearMap (p x k)) s where
zero_eq x hx := congr_arg g (hf.zero_eq x hx)
fderivWithin m hm x hx := (ContinuousLinearMap.compContinuousMultilinearMapL 𝕜
(fun _ : Fin m => E) F G g).hasFDerivAt.comp_hasFDerivWithinAt x (hf.fderivWithin m hm x hx)
cont m hm := (ContinuousLinearMap.compContinuousMultilinearMapL 𝕜
(fun _ : Fin m => E) F G g).continuous.comp_continuousOn (hf.cont m hm)
#align has_ftaylor_series_up_to_on.continuous_linear_map_comp HasFTaylorSeriesUpToOn.continuousLinearMap_comp
theorem ContDiffWithinAt.continuousLinearMap_comp (g : F →L[𝕜] G)
(hf : ContDiffWithinAt 𝕜 n f s x) : ContDiffWithinAt 𝕜 n (g ∘ f) s x := fun m hm ↦ by
rcases hf m hm with ⟨u, hu, p, hp⟩
exact ⟨u, hu, _, hp.continuousLinearMap_comp g⟩
#align cont_diff_within_at.continuous_linear_map_comp ContDiffWithinAt.continuousLinearMap_comp
theorem ContDiffAt.continuousLinearMap_comp (g : F →L[𝕜] G) (hf : ContDiffAt 𝕜 n f x) :
ContDiffAt 𝕜 n (g ∘ f) x :=
ContDiffWithinAt.continuousLinearMap_comp g hf
#align cont_diff_at.continuous_linear_map_comp ContDiffAt.continuousLinearMap_comp
theorem ContDiffOn.continuousLinearMap_comp (g : F →L[𝕜] G) (hf : ContDiffOn 𝕜 n f s) :
ContDiffOn 𝕜 n (g ∘ f) s := fun x hx => (hf x hx).continuousLinearMap_comp g
#align cont_diff_on.continuous_linear_map_comp ContDiffOn.continuousLinearMap_comp
theorem ContDiff.continuousLinearMap_comp {f : E → F} (g : F →L[𝕜] G) (hf : ContDiff 𝕜 n f) :
ContDiff 𝕜 n fun x => g (f x) :=
contDiffOn_univ.1 <| ContDiffOn.continuousLinearMap_comp _ (contDiffOn_univ.2 hf)
#align cont_diff.continuous_linear_map_comp ContDiff.continuousLinearMap_comp
theorem ContinuousLinearMap.iteratedFDerivWithin_comp_left {f : E → F} (g : F →L[𝕜] G)
(hf : ContDiffOn 𝕜 n f s) (hs : UniqueDiffOn 𝕜 s) (hx : x ∈ s) {i : ℕ} (hi : (i : ℕ∞) ≤ n) :
iteratedFDerivWithin 𝕜 i (g ∘ f) s x =
g.compContinuousMultilinearMap (iteratedFDerivWithin 𝕜 i f s x) :=
(((hf.ftaylorSeriesWithin hs).continuousLinearMap_comp g).eq_iteratedFDerivWithin_of_uniqueDiffOn
hi hs hx).symm
#align continuous_linear_map.iterated_fderiv_within_comp_left ContinuousLinearMap.iteratedFDerivWithin_comp_left
theorem ContinuousLinearMap.iteratedFDeriv_comp_left {f : E → F} (g : F →L[𝕜] G)
(hf : ContDiff 𝕜 n f) (x : E) {i : ℕ} (hi : (i : ℕ∞) ≤ n) :
iteratedFDeriv 𝕜 i (g ∘ f) x = g.compContinuousMultilinearMap (iteratedFDeriv 𝕜 i f x) := by
simp only [← iteratedFDerivWithin_univ]
exact g.iteratedFDerivWithin_comp_left hf.contDiffOn uniqueDiffOn_univ (mem_univ x) hi
#align continuous_linear_map.iterated_fderiv_comp_left ContinuousLinearMap.iteratedFDeriv_comp_left
theorem ContinuousLinearEquiv.iteratedFDerivWithin_comp_left (g : F ≃L[𝕜] G) (f : E → F)
(hs : UniqueDiffOn 𝕜 s) (hx : x ∈ s) (i : ℕ) :
iteratedFDerivWithin 𝕜 i (g ∘ f) s x =
(g : F →L[𝕜] G).compContinuousMultilinearMap (iteratedFDerivWithin 𝕜 i f s x) := by
induction' i with i IH generalizing x
· ext1 m
simp only [Nat.zero_eq, iteratedFDerivWithin_zero_apply, comp_apply,
ContinuousLinearMap.compContinuousMultilinearMap_coe, coe_coe]
· ext1 m
rw [iteratedFDerivWithin_succ_apply_left]
have Z : fderivWithin 𝕜 (iteratedFDerivWithin 𝕜 i (g ∘ f) s) s x =
fderivWithin 𝕜 (g.compContinuousMultilinearMapL (fun _ : Fin i => E) ∘
iteratedFDerivWithin 𝕜 i f s) s x :=
fderivWithin_congr' (@IH) hx
simp_rw [Z]
rw [(g.compContinuousMultilinearMapL fun _ : Fin i => E).comp_fderivWithin (hs x hx)]
simp only [ContinuousLinearMap.coe_comp', ContinuousLinearEquiv.coe_coe, comp_apply,
ContinuousLinearEquiv.compContinuousMultilinearMapL_apply,
ContinuousLinearMap.compContinuousMultilinearMap_coe, EmbeddingLike.apply_eq_iff_eq]
rw [iteratedFDerivWithin_succ_apply_left]
#align continuous_linear_equiv.iterated_fderiv_within_comp_left ContinuousLinearEquiv.iteratedFDerivWithin_comp_left
theorem LinearIsometry.norm_iteratedFDerivWithin_comp_left {f : E → F} (g : F →ₗᵢ[𝕜] G)
(hf : ContDiffOn 𝕜 n f s) (hs : UniqueDiffOn 𝕜 s) (hx : x ∈ s) {i : ℕ} (hi : (i : ℕ∞) ≤ n) :
‖iteratedFDerivWithin 𝕜 i (g ∘ f) s x‖ = ‖iteratedFDerivWithin 𝕜 i f s x‖ := by
have :
iteratedFDerivWithin 𝕜 i (g ∘ f) s x =
g.toContinuousLinearMap.compContinuousMultilinearMap (iteratedFDerivWithin 𝕜 i f s x) :=
g.toContinuousLinearMap.iteratedFDerivWithin_comp_left hf hs hx hi
rw [this]
apply LinearIsometry.norm_compContinuousMultilinearMap
#align linear_isometry.norm_iterated_fderiv_within_comp_left LinearIsometry.norm_iteratedFDerivWithin_comp_left
theorem LinearIsometry.norm_iteratedFDeriv_comp_left {f : E → F} (g : F →ₗᵢ[𝕜] G)
(hf : ContDiff 𝕜 n f) (x : E) {i : ℕ} (hi : (i : ℕ∞) ≤ n) :
‖iteratedFDeriv 𝕜 i (g ∘ f) x‖ = ‖iteratedFDeriv 𝕜 i f x‖ := by
simp only [← iteratedFDerivWithin_univ]
exact g.norm_iteratedFDerivWithin_comp_left hf.contDiffOn uniqueDiffOn_univ (mem_univ x) hi
#align linear_isometry.norm_iterated_fderiv_comp_left LinearIsometry.norm_iteratedFDeriv_comp_left
theorem LinearIsometryEquiv.norm_iteratedFDerivWithin_comp_left (g : F ≃ₗᵢ[𝕜] G) (f : E → F)
(hs : UniqueDiffOn 𝕜 s) (hx : x ∈ s) (i : ℕ) :
‖iteratedFDerivWithin 𝕜 i (g ∘ f) s x‖ = ‖iteratedFDerivWithin 𝕜 i f s x‖ := by
have :
iteratedFDerivWithin 𝕜 i (g ∘ f) s x =
(g : F →L[𝕜] G).compContinuousMultilinearMap (iteratedFDerivWithin 𝕜 i f s x) :=
g.toContinuousLinearEquiv.iteratedFDerivWithin_comp_left f hs hx i
rw [this]
apply LinearIsometry.norm_compContinuousMultilinearMap g.toLinearIsometry
#align linear_isometry_equiv.norm_iterated_fderiv_within_comp_left LinearIsometryEquiv.norm_iteratedFDerivWithin_comp_left
theorem LinearIsometryEquiv.norm_iteratedFDeriv_comp_left (g : F ≃ₗᵢ[𝕜] G) (f : E → F) (x : E)
(i : ℕ) : ‖iteratedFDeriv 𝕜 i (g ∘ f) x‖ = ‖iteratedFDeriv 𝕜 i f x‖ := by
rw [← iteratedFDerivWithin_univ, ← iteratedFDerivWithin_univ]
apply g.norm_iteratedFDerivWithin_comp_left f uniqueDiffOn_univ (mem_univ x) i
#align linear_isometry_equiv.norm_iterated_fderiv_comp_left LinearIsometryEquiv.norm_iteratedFDeriv_comp_left
theorem ContinuousLinearEquiv.comp_contDiffWithinAt_iff (e : F ≃L[𝕜] G) :
ContDiffWithinAt 𝕜 n (e ∘ f) s x ↔ ContDiffWithinAt 𝕜 n f s x :=
⟨fun H => by
simpa only [(· ∘ ·), e.symm.coe_coe, e.symm_apply_apply] using
H.continuousLinearMap_comp (e.symm : G →L[𝕜] F),
fun H => H.continuousLinearMap_comp (e : F →L[𝕜] G)⟩
#align continuous_linear_equiv.comp_cont_diff_within_at_iff ContinuousLinearEquiv.comp_contDiffWithinAt_iff
theorem ContinuousLinearEquiv.comp_contDiffAt_iff (e : F ≃L[𝕜] G) :
ContDiffAt 𝕜 n (e ∘ f) x ↔ ContDiffAt 𝕜 n f x := by
simp only [← contDiffWithinAt_univ, e.comp_contDiffWithinAt_iff]
#align continuous_linear_equiv.comp_cont_diff_at_iff ContinuousLinearEquiv.comp_contDiffAt_iff
theorem ContinuousLinearEquiv.comp_contDiffOn_iff (e : F ≃L[𝕜] G) :
ContDiffOn 𝕜 n (e ∘ f) s ↔ ContDiffOn 𝕜 n f s := by
simp [ContDiffOn, e.comp_contDiffWithinAt_iff]
#align continuous_linear_equiv.comp_cont_diff_on_iff ContinuousLinearEquiv.comp_contDiffOn_iff
theorem ContinuousLinearEquiv.comp_contDiff_iff (e : F ≃L[𝕜] G) :
ContDiff 𝕜 n (e ∘ f) ↔ ContDiff 𝕜 n f := by
simp only [← contDiffOn_univ, e.comp_contDiffOn_iff]
#align continuous_linear_equiv.comp_cont_diff_iff ContinuousLinearEquiv.comp_contDiff_iff
theorem HasFTaylorSeriesUpToOn.compContinuousLinearMap (hf : HasFTaylorSeriesUpToOn n f p s)
(g : G →L[𝕜] E) :
HasFTaylorSeriesUpToOn n (f ∘ g) (fun x k => (p (g x) k).compContinuousLinearMap fun _ => g)
(g ⁻¹' s) := by
let A : ∀ m : ℕ, (E[×m]→L[𝕜] F) → G[×m]→L[𝕜] F := fun m h => h.compContinuousLinearMap fun _ => g
have hA : ∀ m, IsBoundedLinearMap 𝕜 (A m) := fun m =>
isBoundedLinearMap_continuousMultilinearMap_comp_linear g
constructor
· intro x hx
simp only [(hf.zero_eq (g x) hx).symm, Function.comp_apply]
change (p (g x) 0 fun _ : Fin 0 => g 0) = p (g x) 0 0
rw [ContinuousLinearMap.map_zero]
rfl
· intro m hm x hx
convert (hA m).hasFDerivAt.comp_hasFDerivWithinAt x
((hf.fderivWithin m hm (g x) hx).comp x g.hasFDerivWithinAt (Subset.refl _))
ext y v
change p (g x) (Nat.succ m) (g ∘ cons y v) = p (g x) m.succ (cons (g y) (g ∘ v))
rw [comp_cons]
· intro m hm
exact (hA m).continuous.comp_continuousOn <| (hf.cont m hm).comp g.continuous.continuousOn <|
Subset.refl _
#align has_ftaylor_series_up_to_on.comp_continuous_linear_map HasFTaylorSeriesUpToOn.compContinuousLinearMap
theorem ContDiffWithinAt.comp_continuousLinearMap {x : G} (g : G →L[𝕜] E)
(hf : ContDiffWithinAt 𝕜 n f s (g x)) : ContDiffWithinAt 𝕜 n (f ∘ g) (g ⁻¹' s) x := by
intro m hm
rcases hf m hm with ⟨u, hu, p, hp⟩
refine ⟨g ⁻¹' u, ?_, _, hp.compContinuousLinearMap g⟩
refine g.continuous.continuousWithinAt.tendsto_nhdsWithin ?_ hu
exact (mapsTo_singleton.2 <| mem_singleton _).union_union (mapsTo_preimage _ _)
#align cont_diff_within_at.comp_continuous_linear_map ContDiffWithinAt.comp_continuousLinearMap
theorem ContDiffOn.comp_continuousLinearMap (hf : ContDiffOn 𝕜 n f s) (g : G →L[𝕜] E) :
ContDiffOn 𝕜 n (f ∘ g) (g ⁻¹' s) := fun x hx => (hf (g x) hx).comp_continuousLinearMap g
#align cont_diff_on.comp_continuous_linear_map ContDiffOn.comp_continuousLinearMap
theorem ContDiff.comp_continuousLinearMap {f : E → F} {g : G →L[𝕜] E} (hf : ContDiff 𝕜 n f) :
ContDiff 𝕜 n (f ∘ g) :=
contDiffOn_univ.1 <| ContDiffOn.comp_continuousLinearMap (contDiffOn_univ.2 hf) _
#align cont_diff.comp_continuous_linear_map ContDiff.comp_continuousLinearMap
theorem ContinuousLinearMap.iteratedFDerivWithin_comp_right {f : E → F} (g : G →L[𝕜] E)
(hf : ContDiffOn 𝕜 n f s) (hs : UniqueDiffOn 𝕜 s) (h's : UniqueDiffOn 𝕜 (g ⁻¹' s)) {x : G}
(hx : g x ∈ s) {i : ℕ} (hi : (i : ℕ∞) ≤ n) :
iteratedFDerivWithin 𝕜 i (f ∘ g) (g ⁻¹' s) x =
(iteratedFDerivWithin 𝕜 i f s (g x)).compContinuousLinearMap fun _ => g :=
(((hf.ftaylorSeriesWithin hs).compContinuousLinearMap g).eq_iteratedFDerivWithin_of_uniqueDiffOn
hi h's hx).symm
#align continuous_linear_map.iterated_fderiv_within_comp_right ContinuousLinearMap.iteratedFDerivWithin_comp_right
theorem ContinuousLinearEquiv.iteratedFDerivWithin_comp_right (g : G ≃L[𝕜] E) (f : E → F)
(hs : UniqueDiffOn 𝕜 s) {x : G} (hx : g x ∈ s) (i : ℕ) :
iteratedFDerivWithin 𝕜 i (f ∘ g) (g ⁻¹' s) x =
(iteratedFDerivWithin 𝕜 i f s (g x)).compContinuousLinearMap fun _ => g := by
induction' i with i IH generalizing x
· ext1
simp only [Nat.zero_eq, iteratedFDerivWithin_zero_apply, comp_apply,
ContinuousMultilinearMap.compContinuousLinearMap_apply]
· ext1 m
simp only [ContinuousMultilinearMap.compContinuousLinearMap_apply,
ContinuousLinearEquiv.coe_coe, iteratedFDerivWithin_succ_apply_left]
have : fderivWithin 𝕜 (iteratedFDerivWithin 𝕜 i (f ∘ g) (g ⁻¹' s)) (g ⁻¹' s) x =
fderivWithin 𝕜
(ContinuousMultilinearMap.compContinuousLinearMapEquivL _ (fun _x : Fin i => g) ∘
(iteratedFDerivWithin 𝕜 i f s ∘ g)) (g ⁻¹' s) x :=
fderivWithin_congr' (@IH) hx
rw [this, ContinuousLinearEquiv.comp_fderivWithin _ (g.uniqueDiffOn_preimage_iff.2 hs x hx)]
simp only [ContinuousLinearMap.coe_comp', ContinuousLinearEquiv.coe_coe, comp_apply,
ContinuousMultilinearMap.compContinuousLinearMapEquivL_apply,
ContinuousMultilinearMap.compContinuousLinearMap_apply]
rw [ContinuousLinearEquiv.comp_right_fderivWithin _ (g.uniqueDiffOn_preimage_iff.2 hs x hx),
ContinuousLinearMap.coe_comp', coe_coe, comp_apply, tail_def, tail_def]
#align continuous_linear_equiv.iterated_fderiv_within_comp_right ContinuousLinearEquiv.iteratedFDerivWithin_comp_right
theorem ContinuousLinearMap.iteratedFDeriv_comp_right (g : G →L[𝕜] E) {f : E → F}
(hf : ContDiff 𝕜 n f) (x : G) {i : ℕ} (hi : (i : ℕ∞) ≤ n) :
iteratedFDeriv 𝕜 i (f ∘ g) x =
(iteratedFDeriv 𝕜 i f (g x)).compContinuousLinearMap fun _ => g := by
simp only [← iteratedFDerivWithin_univ]
exact g.iteratedFDerivWithin_comp_right hf.contDiffOn uniqueDiffOn_univ uniqueDiffOn_univ
(mem_univ _) hi
#align continuous_linear_map.iterated_fderiv_comp_right ContinuousLinearMap.iteratedFDeriv_comp_right
theorem LinearIsometryEquiv.norm_iteratedFDerivWithin_comp_right (g : G ≃ₗᵢ[𝕜] E) (f : E → F)
(hs : UniqueDiffOn 𝕜 s) {x : G} (hx : g x ∈ s) (i : ℕ) :
‖iteratedFDerivWithin 𝕜 i (f ∘ g) (g ⁻¹' s) x‖ = ‖iteratedFDerivWithin 𝕜 i f s (g x)‖ := by
have : iteratedFDerivWithin 𝕜 i (f ∘ g) (g ⁻¹' s) x =
(iteratedFDerivWithin 𝕜 i f s (g x)).compContinuousLinearMap fun _ => g :=
g.toContinuousLinearEquiv.iteratedFDerivWithin_comp_right f hs hx i
rw [this, ContinuousMultilinearMap.norm_compContinuous_linearIsometryEquiv]
#align linear_isometry_equiv.norm_iterated_fderiv_within_comp_right LinearIsometryEquiv.norm_iteratedFDerivWithin_comp_right
theorem LinearIsometryEquiv.norm_iteratedFDeriv_comp_right (g : G ≃ₗᵢ[𝕜] E) (f : E → F) (x : G)
(i : ℕ) : ‖iteratedFDeriv 𝕜 i (f ∘ g) x‖ = ‖iteratedFDeriv 𝕜 i f (g x)‖ := by
simp only [← iteratedFDerivWithin_univ]
apply g.norm_iteratedFDerivWithin_comp_right f uniqueDiffOn_univ (mem_univ (g x)) i
#align linear_isometry_equiv.norm_iterated_fderiv_comp_right LinearIsometryEquiv.norm_iteratedFDeriv_comp_right
theorem ContinuousLinearEquiv.contDiffWithinAt_comp_iff (e : G ≃L[𝕜] E) :
ContDiffWithinAt 𝕜 n (f ∘ e) (e ⁻¹' s) (e.symm x) ↔ ContDiffWithinAt 𝕜 n f s x := by
constructor
· intro H
simpa [← preimage_comp, (· ∘ ·)] using H.comp_continuousLinearMap (e.symm : E →L[𝕜] G)
· intro H
rw [← e.apply_symm_apply x, ← e.coe_coe] at H
exact H.comp_continuousLinearMap _
#align continuous_linear_equiv.cont_diff_within_at_comp_iff ContinuousLinearEquiv.contDiffWithinAt_comp_iff
theorem ContinuousLinearEquiv.contDiffAt_comp_iff (e : G ≃L[𝕜] E) :
ContDiffAt 𝕜 n (f ∘ e) (e.symm x) ↔ ContDiffAt 𝕜 n f x := by
rw [← contDiffWithinAt_univ, ← contDiffWithinAt_univ, ← preimage_univ]
exact e.contDiffWithinAt_comp_iff
#align continuous_linear_equiv.cont_diff_at_comp_iff ContinuousLinearEquiv.contDiffAt_comp_iff
theorem ContinuousLinearEquiv.contDiffOn_comp_iff (e : G ≃L[𝕜] E) :
ContDiffOn 𝕜 n (f ∘ e) (e ⁻¹' s) ↔ ContDiffOn 𝕜 n f s :=
⟨fun H => by simpa [(· ∘ ·)] using H.comp_continuousLinearMap (e.symm : E →L[𝕜] G), fun H =>
H.comp_continuousLinearMap (e : G →L[𝕜] E)⟩
#align continuous_linear_equiv.cont_diff_on_comp_iff ContinuousLinearEquiv.contDiffOn_comp_iff
theorem ContinuousLinearEquiv.contDiff_comp_iff (e : G ≃L[𝕜] E) :
ContDiff 𝕜 n (f ∘ e) ↔ ContDiff 𝕜 n f := by
rw [← contDiffOn_univ, ← contDiffOn_univ, ← preimage_univ]
exact e.contDiffOn_comp_iff
#align continuous_linear_equiv.cont_diff_comp_iff ContinuousLinearEquiv.contDiff_comp_iff
| Mathlib/Analysis/Calculus/ContDiff/Basic.lean | 516 | 526 | theorem HasFTaylorSeriesUpToOn.prod (hf : HasFTaylorSeriesUpToOn n f p s) {g : E → G}
{q : E → FormalMultilinearSeries 𝕜 E G} (hg : HasFTaylorSeriesUpToOn n g q s) :
HasFTaylorSeriesUpToOn n (fun y => (f y, g y)) (fun y k => (p y k).prod (q y k)) s := by |
set L := fun m => ContinuousMultilinearMap.prodL 𝕜 (fun _ : Fin m => E) F G
constructor
· intro x hx; rw [← hf.zero_eq x hx, ← hg.zero_eq x hx]; rfl
· intro m hm x hx
convert (L m).hasFDerivAt.comp_hasFDerivWithinAt x
((hf.fderivWithin m hm x hx).prod (hg.fderivWithin m hm x hx))
· intro m hm
exact (L m).continuous.comp_continuousOn ((hf.cont m hm).prod (hg.cont m hm))
|
import Mathlib.RingTheory.UniqueFactorizationDomain
import Mathlib.RingTheory.Localization.Basic
#align_import ring_theory.localization.away.basic from "leanprover-community/mathlib"@"a7c017d750512a352b623b1824d75da5998457d0"
section CommSemiring
variable {R : Type*} [CommSemiring R] (M : Submonoid R) {S : Type*} [CommSemiring S]
variable [Algebra R S] {P : Type*} [CommSemiring P]
namespace IsLocalization
section Away
variable (x : R)
abbrev Away (S : Type*) [CommSemiring S] [Algebra R S] :=
IsLocalization (Submonoid.powers x) S
#align is_localization.away IsLocalization.Away
namespace Away
variable [IsLocalization.Away x S]
noncomputable def invSelf : S :=
mk' S (1 : R) ⟨x, Submonoid.mem_powers _⟩
#align is_localization.away.inv_self IsLocalization.Away.invSelf
@[simp]
| Mathlib/RingTheory/Localization/Away/Basic.lean | 58 | 61 | theorem mul_invSelf : algebraMap R S x * invSelf x = 1 := by |
convert IsLocalization.mk'_mul_mk'_eq_one (M := Submonoid.powers x) (S := S) _ 1
symm
apply IsLocalization.mk'_one
|
import Mathlib.Tactic.NormNum
import Mathlib.Tactic.TryThis
import Mathlib.Util.AtomM
set_option autoImplicit true
namespace Mathlib.Tactic.Abel
open Lean Elab Meta Tactic Qq
initialize registerTraceClass `abel
initialize registerTraceClass `abel.detail
structure Context where
α : Expr
univ : Level
α0 : Expr
isGroup : Bool
inst : Expr
def mkContext (e : Expr) : MetaM Context := do
let α ← inferType e
let c ← synthInstance (← mkAppM ``AddCommMonoid #[α])
let cg ← synthInstance? (← mkAppM ``AddCommGroup #[α])
let u ← mkFreshLevelMVar
_ ← isDefEq (.sort (.succ u)) (← inferType α)
let α0 ← Expr.ofNat α 0
match cg with
| some cg => return ⟨α, u, α0, true, cg⟩
| _ => return ⟨α, u, α0, false, c⟩
abbrev M := ReaderT Context AtomM
def Context.app (c : Context) (n : Name) (inst : Expr) : Array Expr → Expr :=
mkAppN (((@Expr.const n [c.univ]).app c.α).app inst)
def Context.mkApp (c : Context) (n inst : Name) (l : Array Expr) : MetaM Expr := do
return c.app n (← synthInstance ((Expr.const inst [c.univ]).app c.α)) l
def addG : Name → Name
| .str p s => .str p (s ++ "g")
| n => n
def iapp (n : Name) (xs : Array Expr) : M Expr := do
let c ← read
return c.app (if c.isGroup then addG n else n) c.inst xs
def term {α} [AddCommMonoid α] (n : ℕ) (x a : α) : α := n • x + a
def termg {α} [AddCommGroup α] (n : ℤ) (x a : α) : α := n • x + a
def mkTerm (n x a : Expr) : M Expr := iapp ``term #[n, x, a]
def intToExpr (n : ℤ) : M Expr := do
Expr.ofInt (mkConst (if (← read).isGroup then ``Int else ``Nat) []) n
inductive NormalExpr : Type
| zero (e : Expr) : NormalExpr
| nterm (e : Expr) (n : Expr × ℤ) (x : ℕ × Expr) (a : NormalExpr) : NormalExpr
deriving Inhabited
def NormalExpr.e : NormalExpr → Expr
| .zero e => e
| .nterm e .. => e
instance : Coe NormalExpr Expr where coe := NormalExpr.e
def NormalExpr.term' (n : Expr × ℤ) (x : ℕ × Expr) (a : NormalExpr) : M NormalExpr :=
return .nterm (← mkTerm n.1 x.2 a) n x a
def NormalExpr.zero' : M NormalExpr := return NormalExpr.zero (← read).α0
open NormalExpr
theorem const_add_term {α} [AddCommMonoid α] (k n x a a') (h : k + a = a') :
k + @term α _ n x a = term n x a' := by
simp [h.symm, term, add_comm, add_assoc]
theorem const_add_termg {α} [AddCommGroup α] (k n x a a') (h : k + a = a') :
k + @termg α _ n x a = termg n x a' := by
simp [h.symm, termg, add_comm, add_assoc]
theorem term_add_const {α} [AddCommMonoid α] (n x a k a') (h : a + k = a') :
@term α _ n x a + k = term n x a' := by
simp [h.symm, term, add_assoc]
theorem term_add_constg {α} [AddCommGroup α] (n x a k a') (h : a + k = a') :
@termg α _ n x a + k = termg n x a' := by
simp [h.symm, termg, add_assoc]
theorem term_add_term {α} [AddCommMonoid α] (n₁ x a₁ n₂ a₂ n' a') (h₁ : n₁ + n₂ = n')
(h₂ : a₁ + a₂ = a') : @term α _ n₁ x a₁ + @term α _ n₂ x a₂ = term n' x a' := by
simp [h₁.symm, h₂.symm, term, add_nsmul, add_assoc, add_left_comm]
theorem term_add_termg {α} [AddCommGroup α] (n₁ x a₁ n₂ a₂ n' a')
(h₁ : n₁ + n₂ = n') (h₂ : a₁ + a₂ = a') :
@termg α _ n₁ x a₁ + @termg α _ n₂ x a₂ = termg n' x a' := by
simp only [termg, h₁.symm, add_zsmul, h₂.symm]
exact add_add_add_comm (n₁ • x) a₁ (n₂ • x) a₂
theorem zero_term {α} [AddCommMonoid α] (x a) : @term α _ 0 x a = a := by
simp [term, zero_nsmul, one_nsmul]
theorem zero_termg {α} [AddCommGroup α] (x a) : @termg α _ 0 x a = a := by
simp [termg, zero_zsmul]
partial def evalAdd : NormalExpr → NormalExpr → M (NormalExpr × Expr)
| zero _, e₂ => do
let p ← mkAppM ``zero_add #[e₂]
return (e₂, p)
| e₁, zero _ => do
let p ← mkAppM ``add_zero #[e₁]
return (e₁, p)
| he₁@(nterm e₁ n₁ x₁ a₁), he₂@(nterm e₂ n₂ x₂ a₂) => do
if x₁.1 = x₂.1 then
let n' ← Mathlib.Meta.NormNum.eval (← mkAppM ``HAdd.hAdd #[n₁.1, n₂.1])
let (a', h₂) ← evalAdd a₁ a₂
let k := n₁.2 + n₂.2
let p₁ ← iapp ``term_add_term
#[n₁.1, x₁.2, a₁, n₂.1, a₂, n'.expr, a', ← n'.getProof, h₂]
if k = 0 then do
let p ← mkEqTrans p₁ (← iapp ``zero_term #[x₁.2, a'])
return (a', p)
else return (← term' (n'.expr, k) x₁ a', p₁)
else if x₁.1 < x₂.1 then do
let (a', h) ← evalAdd a₁ he₂
return (← term' n₁ x₁ a', ← iapp ``term_add_const #[n₁.1, x₁.2, a₁, e₂, a', h])
else do
let (a', h) ← evalAdd he₁ a₂
return (← term' n₂ x₂ a', ← iapp ``const_add_term #[e₁, n₂.1, x₂.2, a₂, a', h])
theorem term_neg {α} [AddCommGroup α] (n x a n' a')
(h₁ : -n = n') (h₂ : -a = a') : -@termg α _ n x a = termg n' x a' := by
simpa [h₂.symm, h₁.symm, termg] using add_comm _ _
def evalNeg : NormalExpr → M (NormalExpr × Expr)
| (zero _) => do
let p ← (← read).mkApp ``neg_zero ``NegZeroClass #[]
return (← zero', p)
| (nterm _ n x a) => do
let n' ← Mathlib.Meta.NormNum.eval (← mkAppM ``Neg.neg #[n.1])
let (a', h₂) ← evalNeg a
return (← term' (n'.expr, -n.2) x a',
(← read).app ``term_neg (← read).inst #[n.1, x.2, a, n'.expr, a', ← n'.getProof, h₂])
def smul {α} [AddCommMonoid α] (n : ℕ) (x : α) : α := n • x
def smulg {α} [AddCommGroup α] (n : ℤ) (x : α) : α := n • x
theorem zero_smul {α} [AddCommMonoid α] (c) : smul c (0 : α) = 0 := by
simp [smul, nsmul_zero]
theorem zero_smulg {α} [AddCommGroup α] (c) : smulg c (0 : α) = 0 := by
simp [smulg, zsmul_zero]
theorem term_smul {α} [AddCommMonoid α] (c n x a n' a')
(h₁ : c * n = n') (h₂ : smul c a = a') :
smul c (@term α _ n x a) = term n' x a' := by
simp [h₂.symm, h₁.symm, term, smul, nsmul_add, mul_nsmul']
theorem term_smulg {α} [AddCommGroup α] (c n x a n' a')
(h₁ : c * n = n') (h₂ : smulg c a = a') :
smulg c (@termg α _ n x a) = termg n' x a' := by
simp [h₂.symm, h₁.symm, termg, smulg, zsmul_add, mul_zsmul]
def evalSMul (k : Expr × ℤ) : NormalExpr → M (NormalExpr × Expr)
| zero _ => return (← zero', ← iapp ``zero_smul #[k.1])
| nterm _ n x a => do
let n' ← Mathlib.Meta.NormNum.eval (← mkAppM ``HMul.hMul #[k.1, n.1])
let (a', h₂) ← evalSMul k a
return (← term' (n'.expr, k.2 * n.2) x a',
← iapp ``term_smul #[k.1, n.1, x.2, a, n'.expr, a', ← n'.getProof, h₂])
theorem term_atom {α} [AddCommMonoid α] (x : α) : x = term 1 x 0 := by simp [term]
theorem term_atomg {α} [AddCommGroup α] (x : α) : x = termg 1 x 0 := by simp [termg]
| Mathlib/Tactic/Abel.lean | 239 | 240 | theorem term_atom_pf {α} [AddCommMonoid α] (x x' : α) (h : x = x') : x = term 1 x' 0 := by |
simp [term, h]
|
import Mathlib.CategoryTheory.Sites.Coherent.Comparison
import Mathlib.Topology.Category.CompHaus.Limits
universe u
attribute [local instance] CategoryTheory.ConcreteCategory.instFunLike
open CategoryTheory Limits
namespace CompHaus
noncomputable
def struct {B X : CompHaus.{u}} (π : X ⟶ B) (hπ : Function.Surjective π) :
EffectiveEpiStruct π where
desc e h := (QuotientMap.of_surjective_continuous hπ π.continuous).lift e fun a b hab ↦
DFunLike.congr_fun (h ⟨fun _ ↦ a, continuous_const⟩ ⟨fun _ ↦ b, continuous_const⟩
(by ext; exact hab)) a
fac e h := ((QuotientMap.of_surjective_continuous hπ π.continuous).lift_comp e
fun a b hab ↦ DFunLike.congr_fun (h ⟨fun _ ↦ a, continuous_const⟩ ⟨fun _ ↦ b, continuous_const⟩
(by ext; exact hab)) a)
uniq e h g hm := by
suffices g = (QuotientMap.of_surjective_continuous hπ π.continuous).liftEquiv ⟨e,
fun a b hab ↦ DFunLike.congr_fun
(h ⟨fun _ ↦ a, continuous_const⟩ ⟨fun _ ↦ b, continuous_const⟩ (by ext; exact hab))
a⟩ by assumption
rw [← Equiv.symm_apply_eq (QuotientMap.of_surjective_continuous hπ π.continuous).liftEquiv]
ext
simp only [QuotientMap.liftEquiv_symm_apply_coe, ContinuousMap.comp_apply, ← hm]
rfl
open List in
| Mathlib/Topology/Category/CompHaus/EffectiveEpi.lean | 72 | 85 | theorem effectiveEpi_tfae
{B X : CompHaus.{u}} (π : X ⟶ B) :
TFAE
[ EffectiveEpi π
, Epi π
, Function.Surjective π
] := by |
tfae_have 1 → 2
· intro; infer_instance
tfae_have 2 ↔ 3
· exact epi_iff_surjective π
tfae_have 3 → 1
· exact fun hπ ↦ ⟨⟨struct π hπ⟩⟩
tfae_finish
|
import Mathlib.Analysis.Calculus.ContDiff.Basic
import Mathlib.Data.Finset.Sym
import Mathlib.Data.Nat.Choose.Cast
import Mathlib.Data.Nat.Choose.Multinomial
#align_import analysis.calculus.cont_diff from "leanprover-community/mathlib"@"3bce8d800a6f2b8f63fe1e588fd76a9ff4adcebe"
noncomputable section
open scoped Classical NNReal Nat
universe u uD uE uF uG
open Set Fin Filter Function
variable {𝕜 : Type*} [NontriviallyNormedField 𝕜] {D : Type uD} [NormedAddCommGroup D]
[NormedSpace 𝕜 D] {E : Type uE} [NormedAddCommGroup E] [NormedSpace 𝕜 E] {F : Type uF}
[NormedAddCommGroup F] [NormedSpace 𝕜 F] {G : Type uG} [NormedAddCommGroup G] [NormedSpace 𝕜 G]
{s s₁ t u : Set E}
theorem ContinuousLinearMap.norm_iteratedFDerivWithin_le_of_bilinear_aux {Du Eu Fu Gu : Type u}
[NormedAddCommGroup Du] [NormedSpace 𝕜 Du] [NormedAddCommGroup Eu] [NormedSpace 𝕜 Eu]
[NormedAddCommGroup Fu] [NormedSpace 𝕜 Fu] [NormedAddCommGroup Gu] [NormedSpace 𝕜 Gu]
(B : Eu →L[𝕜] Fu →L[𝕜] Gu) {f : Du → Eu} {g : Du → Fu} {n : ℕ} {s : Set Du} {x : Du}
(hf : ContDiffOn 𝕜 n f s) (hg : ContDiffOn 𝕜 n g s) (hs : UniqueDiffOn 𝕜 s) (hx : x ∈ s) :
‖iteratedFDerivWithin 𝕜 n (fun y => B (f y) (g y)) s x‖ ≤
‖B‖ * ∑ i ∈ Finset.range (n + 1), (n.choose i : ℝ) * ‖iteratedFDerivWithin 𝕜 i f s x‖ *
‖iteratedFDerivWithin 𝕜 (n - i) g s x‖ := by
induction' n with n IH generalizing Eu Fu Gu
· simp only [Nat.zero_eq, norm_iteratedFDerivWithin_zero, zero_add, Finset.range_one,
Finset.sum_singleton, Nat.choose_self, Nat.cast_one, one_mul, Nat.sub_zero, ← mul_assoc]
apply B.le_opNorm₂
· have In : (n : ℕ∞) + 1 ≤ n.succ := by simp only [Nat.cast_succ, le_refl]
-- Porting note: the next line is a hack allowing Lean to find the operator norm instance.
let norm := @ContinuousLinearMap.hasOpNorm _ _ Eu ((Du →L[𝕜] Fu) →L[𝕜] Du →L[𝕜] Gu) _ _ _ _ _ _
(RingHom.id 𝕜)
have I1 :
‖iteratedFDerivWithin 𝕜 n (fun y : Du => B.precompR Du (f y) (fderivWithin 𝕜 g s y)) s x‖ ≤
‖B‖ * ∑ i ∈ Finset.range (n + 1), n.choose i * ‖iteratedFDerivWithin 𝕜 i f s x‖ *
‖iteratedFDerivWithin 𝕜 (n + 1 - i) g s x‖ := by
calc
‖iteratedFDerivWithin 𝕜 n (fun y : Du => B.precompR Du (f y) (fderivWithin 𝕜 g s y)) s x‖ ≤
‖B.precompR Du‖ * ∑ i ∈ Finset.range (n + 1),
n.choose i * ‖iteratedFDerivWithin 𝕜 i f s x‖ *
‖iteratedFDerivWithin 𝕜 (n - i) (fderivWithin 𝕜 g s) s x‖ :=
IH _ (hf.of_le (Nat.cast_le.2 (Nat.le_succ n))) (hg.fderivWithin hs In)
_ ≤ ‖B‖ * ∑ i ∈ Finset.range (n + 1), n.choose i * ‖iteratedFDerivWithin 𝕜 i f s x‖ *
‖iteratedFDerivWithin 𝕜 (n - i) (fderivWithin 𝕜 g s) s x‖ :=
mul_le_mul_of_nonneg_right (B.norm_precompR_le Du) (by positivity)
_ = _ := by
congr 1
apply Finset.sum_congr rfl fun i hi => ?_
rw [Nat.succ_sub (Nat.lt_succ_iff.1 (Finset.mem_range.1 hi)),
← norm_iteratedFDerivWithin_fderivWithin hs hx]
-- Porting note: the next line is a hack allowing Lean to find the operator norm instance.
let norm := @ContinuousLinearMap.hasOpNorm _ _ (Du →L[𝕜] Eu) (Fu →L[𝕜] Du →L[𝕜] Gu) _ _ _ _ _ _
(RingHom.id 𝕜)
have I2 :
‖iteratedFDerivWithin 𝕜 n (fun y : Du => B.precompL Du (fderivWithin 𝕜 f s y) (g y)) s x‖ ≤
‖B‖ * ∑ i ∈ Finset.range (n + 1), n.choose i * ‖iteratedFDerivWithin 𝕜 (i + 1) f s x‖ *
‖iteratedFDerivWithin 𝕜 (n - i) g s x‖ :=
calc
‖iteratedFDerivWithin 𝕜 n (fun y : Du => B.precompL Du (fderivWithin 𝕜 f s y) (g y)) s x‖ ≤
‖B.precompL Du‖ * ∑ i ∈ Finset.range (n + 1),
n.choose i * ‖iteratedFDerivWithin 𝕜 i (fderivWithin 𝕜 f s) s x‖ *
‖iteratedFDerivWithin 𝕜 (n - i) g s x‖ :=
IH _ (hf.fderivWithin hs In) (hg.of_le (Nat.cast_le.2 (Nat.le_succ n)))
_ ≤ ‖B‖ * ∑ i ∈ Finset.range (n + 1),
n.choose i * ‖iteratedFDerivWithin 𝕜 i (fderivWithin 𝕜 f s) s x‖ *
‖iteratedFDerivWithin 𝕜 (n - i) g s x‖ :=
mul_le_mul_of_nonneg_right (B.norm_precompL_le Du) (by positivity)
_ = _ := by
congr 1
apply Finset.sum_congr rfl fun i _ => ?_
rw [← norm_iteratedFDerivWithin_fderivWithin hs hx]
have J : iteratedFDerivWithin 𝕜 n
(fun y : Du => fderivWithin 𝕜 (fun y : Du => B (f y) (g y)) s y) s x =
iteratedFDerivWithin 𝕜 n (fun y => B.precompR Du (f y)
(fderivWithin 𝕜 g s y) + B.precompL Du (fderivWithin 𝕜 f s y) (g y)) s x := by
apply iteratedFDerivWithin_congr (fun y hy => ?_) hx
have L : (1 : ℕ∞) ≤ n.succ := by
simpa only [ENat.coe_one, Nat.one_le_cast] using Nat.succ_pos n
exact B.fderivWithin_of_bilinear (hf.differentiableOn L y hy) (hg.differentiableOn L y hy)
(hs y hy)
rw [← norm_iteratedFDerivWithin_fderivWithin hs hx, J]
have A : ContDiffOn 𝕜 n (fun y => B.precompR Du (f y) (fderivWithin 𝕜 g s y)) s :=
(B.precompR Du).isBoundedBilinearMap.contDiff.comp_contDiff_on₂
(hf.of_le (Nat.cast_le.2 (Nat.le_succ n))) (hg.fderivWithin hs In)
have A' : ContDiffOn 𝕜 n (fun y => B.precompL Du (fderivWithin 𝕜 f s y) (g y)) s :=
(B.precompL Du).isBoundedBilinearMap.contDiff.comp_contDiff_on₂ (hf.fderivWithin hs In)
(hg.of_le (Nat.cast_le.2 (Nat.le_succ n)))
rw [iteratedFDerivWithin_add_apply' A A' hs hx]
apply (norm_add_le _ _).trans ((add_le_add I1 I2).trans (le_of_eq ?_))
simp_rw [← mul_add, mul_assoc]
congr 1
exact (Finset.sum_choose_succ_mul
(fun i j => ‖iteratedFDerivWithin 𝕜 i f s x‖ * ‖iteratedFDerivWithin 𝕜 j g s x‖) n).symm
#align continuous_linear_map.norm_iterated_fderiv_within_le_of_bilinear_aux ContinuousLinearMap.norm_iteratedFDerivWithin_le_of_bilinear_aux
theorem ContinuousLinearMap.norm_iteratedFDerivWithin_le_of_bilinear (B : E →L[𝕜] F →L[𝕜] G)
{f : D → E} {g : D → F} {N : ℕ∞} {s : Set D} {x : D} (hf : ContDiffOn 𝕜 N f s)
(hg : ContDiffOn 𝕜 N g s) (hs : UniqueDiffOn 𝕜 s) (hx : x ∈ s) {n : ℕ} (hn : (n : ℕ∞) ≤ N) :
‖iteratedFDerivWithin 𝕜 n (fun y => B (f y) (g y)) s x‖ ≤
‖B‖ * ∑ i ∈ Finset.range (n + 1), (n.choose i : ℝ) * ‖iteratedFDerivWithin 𝕜 i f s x‖ *
‖iteratedFDerivWithin 𝕜 (n - i) g s x‖ := by
let Du : Type max uD uE uF uG := ULift.{max uE uF uG, uD} D
let Eu : Type max uD uE uF uG := ULift.{max uD uF uG, uE} E
let Fu : Type max uD uE uF uG := ULift.{max uD uE uG, uF} F
let Gu : Type max uD uE uF uG := ULift.{max uD uE uF, uG} G
have isoD : Du ≃ₗᵢ[𝕜] D := LinearIsometryEquiv.ulift 𝕜 D
have isoE : Eu ≃ₗᵢ[𝕜] E := LinearIsometryEquiv.ulift 𝕜 E
have isoF : Fu ≃ₗᵢ[𝕜] F := LinearIsometryEquiv.ulift 𝕜 F
have isoG : Gu ≃ₗᵢ[𝕜] G := LinearIsometryEquiv.ulift 𝕜 G
-- lift `f` and `g` to versions `fu` and `gu` on the lifted spaces.
set fu : Du → Eu := isoE.symm ∘ f ∘ isoD with hfu
set gu : Du → Fu := isoF.symm ∘ g ∘ isoD with hgu
-- lift the bilinear map `B` to a bilinear map `Bu` on the lifted spaces.
set Bu₀ : Eu →L[𝕜] Fu →L[𝕜] G := ((B.comp (isoE : Eu →L[𝕜] E)).flip.comp (isoF : Fu →L[𝕜] F)).flip
with hBu₀
let Bu : Eu →L[𝕜] Fu →L[𝕜] Gu :=
ContinuousLinearMap.compL 𝕜 Eu (Fu →L[𝕜] G) (Fu →L[𝕜] Gu)
(ContinuousLinearMap.compL 𝕜 Fu G Gu (isoG.symm : G →L[𝕜] Gu)) Bu₀
have hBu : Bu = ContinuousLinearMap.compL 𝕜 Eu (Fu →L[𝕜] G) (Fu →L[𝕜] Gu)
(ContinuousLinearMap.compL 𝕜 Fu G Gu (isoG.symm : G →L[𝕜] Gu)) Bu₀ := rfl
have Bu_eq : (fun y => Bu (fu y) (gu y)) = isoG.symm ∘ (fun y => B (f y) (g y)) ∘ isoD := by
ext1 y
simp [hBu, hBu₀, hfu, hgu]
-- All norms are preserved by the lifting process.
have Bu_le : ‖Bu‖ ≤ ‖B‖ := by
refine' ContinuousLinearMap.opNorm_le_bound _ (norm_nonneg B) fun y => _
refine' ContinuousLinearMap.opNorm_le_bound _ (by positivity) fun x => _
simp only [hBu, hBu₀, compL_apply, coe_comp', Function.comp_apply,
ContinuousLinearEquiv.coe_coe, LinearIsometryEquiv.coe_coe, flip_apply,
LinearIsometryEquiv.norm_map]
calc
‖B (isoE y) (isoF x)‖ ≤ ‖B (isoE y)‖ * ‖isoF x‖ := ContinuousLinearMap.le_opNorm _ _
_ ≤ ‖B‖ * ‖isoE y‖ * ‖isoF x‖ := by gcongr; apply ContinuousLinearMap.le_opNorm
_ = ‖B‖ * ‖y‖ * ‖x‖ := by simp only [LinearIsometryEquiv.norm_map]
let su := isoD ⁻¹' s
have hsu : UniqueDiffOn 𝕜 su := isoD.toContinuousLinearEquiv.uniqueDiffOn_preimage_iff.2 hs
let xu := isoD.symm x
have hxu : xu ∈ su := by
simpa only [xu, su, Set.mem_preimage, LinearIsometryEquiv.apply_symm_apply] using hx
have xu_x : isoD xu = x := by simp only [xu, LinearIsometryEquiv.apply_symm_apply]
have hfu : ContDiffOn 𝕜 n fu su :=
isoE.symm.contDiff.comp_contDiffOn
((hf.of_le hn).comp_continuousLinearMap (isoD : Du →L[𝕜] D))
have hgu : ContDiffOn 𝕜 n gu su :=
isoF.symm.contDiff.comp_contDiffOn
((hg.of_le hn).comp_continuousLinearMap (isoD : Du →L[𝕜] D))
have Nfu : ∀ i, ‖iteratedFDerivWithin 𝕜 i fu su xu‖ = ‖iteratedFDerivWithin 𝕜 i f s x‖ := by
intro i
rw [LinearIsometryEquiv.norm_iteratedFDerivWithin_comp_left _ _ hsu hxu]
rw [LinearIsometryEquiv.norm_iteratedFDerivWithin_comp_right _ _ hs, xu_x]
rwa [← xu_x] at hx
have Ngu : ∀ i, ‖iteratedFDerivWithin 𝕜 i gu su xu‖ = ‖iteratedFDerivWithin 𝕜 i g s x‖ := by
intro i
rw [LinearIsometryEquiv.norm_iteratedFDerivWithin_comp_left _ _ hsu hxu]
rw [LinearIsometryEquiv.norm_iteratedFDerivWithin_comp_right _ _ hs, xu_x]
rwa [← xu_x] at hx
have NBu :
‖iteratedFDerivWithin 𝕜 n (fun y => Bu (fu y) (gu y)) su xu‖ =
‖iteratedFDerivWithin 𝕜 n (fun y => B (f y) (g y)) s x‖ := by
rw [Bu_eq]
rw [LinearIsometryEquiv.norm_iteratedFDerivWithin_comp_left _ _ hsu hxu]
rw [LinearIsometryEquiv.norm_iteratedFDerivWithin_comp_right _ _ hs, xu_x]
rwa [← xu_x] at hx
-- state the bound for the lifted objects, and deduce the original bound from it.
have : ‖iteratedFDerivWithin 𝕜 n (fun y => Bu (fu y) (gu y)) su xu‖ ≤
‖Bu‖ * ∑ i ∈ Finset.range (n + 1), (n.choose i : ℝ) * ‖iteratedFDerivWithin 𝕜 i fu su xu‖ *
‖iteratedFDerivWithin 𝕜 (n - i) gu su xu‖ :=
Bu.norm_iteratedFDerivWithin_le_of_bilinear_aux hfu hgu hsu hxu
simp only [Nfu, Ngu, NBu] at this
exact this.trans (mul_le_mul_of_nonneg_right Bu_le (by positivity))
#align continuous_linear_map.norm_iterated_fderiv_within_le_of_bilinear ContinuousLinearMap.norm_iteratedFDerivWithin_le_of_bilinear
theorem ContinuousLinearMap.norm_iteratedFDeriv_le_of_bilinear (B : E →L[𝕜] F →L[𝕜] G) {f : D → E}
{g : D → F} {N : ℕ∞} (hf : ContDiff 𝕜 N f) (hg : ContDiff 𝕜 N g) (x : D) {n : ℕ}
(hn : (n : ℕ∞) ≤ N) :
‖iteratedFDeriv 𝕜 n (fun y => B (f y) (g y)) x‖ ≤ ‖B‖ * ∑ i ∈ Finset.range (n + 1),
(n.choose i : ℝ) * ‖iteratedFDeriv 𝕜 i f x‖ * ‖iteratedFDeriv 𝕜 (n - i) g x‖ := by
simp_rw [← iteratedFDerivWithin_univ]
exact B.norm_iteratedFDerivWithin_le_of_bilinear hf.contDiffOn hg.contDiffOn uniqueDiffOn_univ
(mem_univ x) hn
#align continuous_linear_map.norm_iterated_fderiv_le_of_bilinear ContinuousLinearMap.norm_iteratedFDeriv_le_of_bilinear
theorem ContinuousLinearMap.norm_iteratedFDerivWithin_le_of_bilinear_of_le_one
(B : E →L[𝕜] F →L[𝕜] G) {f : D → E} {g : D → F} {N : ℕ∞} {s : Set D} {x : D}
(hf : ContDiffOn 𝕜 N f s) (hg : ContDiffOn 𝕜 N g s) (hs : UniqueDiffOn 𝕜 s) (hx : x ∈ s) {n : ℕ}
(hn : (n : ℕ∞) ≤ N) (hB : ‖B‖ ≤ 1) : ‖iteratedFDerivWithin 𝕜 n (fun y => B (f y) (g y)) s x‖ ≤
∑ i ∈ Finset.range (n + 1), (n.choose i : ℝ) * ‖iteratedFDerivWithin 𝕜 i f s x‖ *
‖iteratedFDerivWithin 𝕜 (n - i) g s x‖ := by
apply (B.norm_iteratedFDerivWithin_le_of_bilinear hf hg hs hx hn).trans
exact mul_le_of_le_one_left (by positivity) hB
#align continuous_linear_map.norm_iterated_fderiv_within_le_of_bilinear_of_le_one ContinuousLinearMap.norm_iteratedFDerivWithin_le_of_bilinear_of_le_one
theorem ContinuousLinearMap.norm_iteratedFDeriv_le_of_bilinear_of_le_one (B : E →L[𝕜] F →L[𝕜] G)
{f : D → E} {g : D → F} {N : ℕ∞} (hf : ContDiff 𝕜 N f) (hg : ContDiff 𝕜 N g) (x : D) {n : ℕ}
(hn : (n : ℕ∞) ≤ N) (hB : ‖B‖ ≤ 1) : ‖iteratedFDeriv 𝕜 n (fun y => B (f y) (g y)) x‖ ≤
∑ i ∈ Finset.range (n + 1),
(n.choose i : ℝ) * ‖iteratedFDeriv 𝕜 i f x‖ * ‖iteratedFDeriv 𝕜 (n - i) g x‖ := by
simp_rw [← iteratedFDerivWithin_univ]
exact B.norm_iteratedFDerivWithin_le_of_bilinear_of_le_one hf.contDiffOn hg.contDiffOn
uniqueDiffOn_univ (mem_univ x) hn hB
#align continuous_linear_map.norm_iterated_fderiv_le_of_bilinear_of_le_one ContinuousLinearMap.norm_iteratedFDeriv_le_of_bilinear_of_le_one
section
variable {𝕜' : Type*} [NormedField 𝕜'] [NormedAlgebra 𝕜 𝕜'] [NormedSpace 𝕜' F]
[IsScalarTower 𝕜 𝕜' F]
theorem norm_iteratedFDerivWithin_smul_le {f : E → 𝕜'} {g : E → F} {N : ℕ∞}
(hf : ContDiffOn 𝕜 N f s) (hg : ContDiffOn 𝕜 N g s) (hs : UniqueDiffOn 𝕜 s) {x : E} (hx : x ∈ s)
{n : ℕ} (hn : (n : ℕ∞) ≤ N) : ‖iteratedFDerivWithin 𝕜 n (fun y => f y • g y) s x‖ ≤
∑ i ∈ Finset.range (n + 1), (n.choose i : ℝ) * ‖iteratedFDerivWithin 𝕜 i f s x‖ *
‖iteratedFDerivWithin 𝕜 (n - i) g s x‖ :=
(ContinuousLinearMap.lsmul 𝕜 𝕜' :
𝕜' →L[𝕜] F →L[𝕜] F).norm_iteratedFDerivWithin_le_of_bilinear_of_le_one
hf hg hs hx hn ContinuousLinearMap.opNorm_lsmul_le
#align norm_iterated_fderiv_within_smul_le norm_iteratedFDerivWithin_smul_le
theorem norm_iteratedFDeriv_smul_le {f : E → 𝕜'} {g : E → F} {N : ℕ∞} (hf : ContDiff 𝕜 N f)
(hg : ContDiff 𝕜 N g) (x : E) {n : ℕ} (hn : (n : ℕ∞) ≤ N) :
‖iteratedFDeriv 𝕜 n (fun y => f y • g y) x‖ ≤ ∑ i ∈ Finset.range (n + 1),
(n.choose i : ℝ) * ‖iteratedFDeriv 𝕜 i f x‖ * ‖iteratedFDeriv 𝕜 (n - i) g x‖ :=
(ContinuousLinearMap.lsmul 𝕜 𝕜' : 𝕜' →L[𝕜] F →L[𝕜] F).norm_iteratedFDeriv_le_of_bilinear_of_le_one
hf hg x hn ContinuousLinearMap.opNorm_lsmul_le
#align norm_iterated_fderiv_smul_le norm_iteratedFDeriv_smul_le
end
section
variable {ι : Type*} {A : Type*} [NormedRing A] [NormedAlgebra 𝕜 A] {A' : Type*} [NormedCommRing A']
[NormedAlgebra 𝕜 A']
theorem norm_iteratedFDerivWithin_mul_le {f : E → A} {g : E → A} {N : ℕ∞} (hf : ContDiffOn 𝕜 N f s)
(hg : ContDiffOn 𝕜 N g s) (hs : UniqueDiffOn 𝕜 s) {x : E} (hx : x ∈ s) {n : ℕ}
(hn : (n : ℕ∞) ≤ N) : ‖iteratedFDerivWithin 𝕜 n (fun y => f y * g y) s x‖ ≤
∑ i ∈ Finset.range (n + 1), (n.choose i : ℝ) * ‖iteratedFDerivWithin 𝕜 i f s x‖ *
‖iteratedFDerivWithin 𝕜 (n - i) g s x‖ :=
(ContinuousLinearMap.mul 𝕜 A :
A →L[𝕜] A →L[𝕜] A).norm_iteratedFDerivWithin_le_of_bilinear_of_le_one
hf hg hs hx hn (ContinuousLinearMap.opNorm_mul_le _ _)
#align norm_iterated_fderiv_within_mul_le norm_iteratedFDerivWithin_mul_le
theorem norm_iteratedFDeriv_mul_le {f : E → A} {g : E → A} {N : ℕ∞} (hf : ContDiff 𝕜 N f)
(hg : ContDiff 𝕜 N g) (x : E) {n : ℕ} (hn : (n : ℕ∞) ≤ N) :
‖iteratedFDeriv 𝕜 n (fun y => f y * g y) x‖ ≤ ∑ i ∈ Finset.range (n + 1),
(n.choose i : ℝ) * ‖iteratedFDeriv 𝕜 i f x‖ * ‖iteratedFDeriv 𝕜 (n - i) g x‖ := by
simp_rw [← iteratedFDerivWithin_univ]
exact norm_iteratedFDerivWithin_mul_le
hf.contDiffOn hg.contDiffOn uniqueDiffOn_univ (mem_univ x) hn
#align norm_iterated_fderiv_mul_le norm_iteratedFDeriv_mul_le
-- TODO: Add `norm_iteratedFDeriv[Within]_list_prod_le` for non-commutative `NormedRing A`.
theorem norm_iteratedFDerivWithin_prod_le [DecidableEq ι] [NormOneClass A'] {u : Finset ι}
{f : ι → E → A'} {N : ℕ∞} (hf : ∀ i ∈ u, ContDiffOn 𝕜 N (f i) s) (hs : UniqueDiffOn 𝕜 s) {x : E}
(hx : x ∈ s) {n : ℕ} (hn : (n : ℕ∞) ≤ N) :
‖iteratedFDerivWithin 𝕜 n (∏ j ∈ u, f j ·) s x‖ ≤
∑ p ∈ u.sym n, (p : Multiset ι).multinomial *
∏ j ∈ u, ‖iteratedFDerivWithin 𝕜 (Multiset.count j p) (f j) s x‖ := by
induction u using Finset.induction generalizing n with
| empty =>
cases n with
| zero => simp [Sym.eq_nil_of_card_zero]
| succ n => simp [iteratedFDerivWithin_succ_const _ _ hs hx]
| @insert i u hi IH =>
conv => lhs; simp only [Finset.prod_insert hi]
simp only [Finset.mem_insert, forall_eq_or_imp] at hf
refine le_trans (norm_iteratedFDerivWithin_mul_le hf.1 (contDiffOn_prod hf.2) hs hx hn) ?_
rw [← Finset.sum_coe_sort (Finset.sym _ _)]
rw [Finset.sum_equiv (Finset.symInsertEquiv hi) (t := Finset.univ)
(g := (fun v ↦ v.multinomial *
∏ j ∈ insert i u, ‖iteratedFDerivWithin 𝕜 (v.count j) (f j) s x‖) ∘
Sym.toMultiset ∘ Subtype.val ∘ (Finset.symInsertEquiv hi).symm)
(by simp) (by simp only [← comp_apply (g := Finset.symInsertEquiv hi), comp.assoc]; simp)]
rw [← Finset.univ_sigma_univ, Finset.sum_sigma, Finset.sum_range]
simp only [comp_apply, Finset.symInsertEquiv_symm_apply_coe]
refine Finset.sum_le_sum ?_
intro m _
specialize IH hf.2 (n := n - m) (le_trans (WithTop.coe_le_coe.mpr (n.sub_le m)) hn)
refine le_trans (mul_le_mul_of_nonneg_left IH (by simp [mul_nonneg])) ?_
rw [Finset.mul_sum, ← Finset.sum_coe_sort]
refine Finset.sum_le_sum ?_
simp only [Finset.mem_univ, forall_true_left, Subtype.forall, Finset.mem_sym_iff]
intro p hp
refine le_of_eq ?_
rw [Finset.prod_insert hi]
have hip : i ∉ p := mt (hp i) hi
rw [Sym.count_coe_fill_self_of_not_mem hip, Sym.multinomial_coe_fill_of_not_mem hip]
suffices ∏ j ∈ u, ‖iteratedFDerivWithin 𝕜 (Multiset.count j p) (f j) s x‖ =
∏ j ∈ u, ‖iteratedFDerivWithin 𝕜 (Multiset.count j (Sym.fill i m p)) (f j) s x‖ by
rw [this, Nat.cast_mul]
ring
refine Finset.prod_congr rfl ?_
intro j hj
have hji : j ≠ i := mt (· ▸ hj) hi
rw [Sym.count_coe_fill_of_ne hji]
theorem norm_iteratedFDeriv_prod_le [DecidableEq ι] [NormOneClass A'] {u : Finset ι}
{f : ι → E → A'} {N : ℕ∞} (hf : ∀ i ∈ u, ContDiff 𝕜 N (f i)) {x : E} {n : ℕ}
(hn : (n : ℕ∞) ≤ N) :
‖iteratedFDeriv 𝕜 n (∏ j ∈ u, f j ·) x‖ ≤
∑ p ∈ u.sym n, (p : Multiset ι).multinomial *
∏ j ∈ u, ‖iteratedFDeriv 𝕜 ((p : Multiset ι).count j) (f j) x‖ := by
simpa [iteratedFDerivWithin_univ] using
norm_iteratedFDerivWithin_prod_le (fun i hi ↦ (hf i hi).contDiffOn) uniqueDiffOn_univ
(mem_univ x) hn
end
theorem norm_iteratedFDerivWithin_comp_le_aux {Fu Gu : Type u} [NormedAddCommGroup Fu]
[NormedSpace 𝕜 Fu] [NormedAddCommGroup Gu] [NormedSpace 𝕜 Gu] {g : Fu → Gu} {f : E → Fu} {n : ℕ}
{s : Set E} {t : Set Fu} {x : E} (hg : ContDiffOn 𝕜 n g t) (hf : ContDiffOn 𝕜 n f s)
(ht : UniqueDiffOn 𝕜 t) (hs : UniqueDiffOn 𝕜 s) (hst : MapsTo f s t) (hx : x ∈ s) {C : ℝ}
{D : ℝ} (hC : ∀ i, i ≤ n → ‖iteratedFDerivWithin 𝕜 i g t (f x)‖ ≤ C)
(hD : ∀ i, 1 ≤ i → i ≤ n → ‖iteratedFDerivWithin 𝕜 i f s x‖ ≤ D ^ i) :
‖iteratedFDerivWithin 𝕜 n (g ∘ f) s x‖ ≤ n ! * C * D ^ n := by
induction' n using Nat.case_strong_induction_on with n IH generalizing Gu
· simpa [norm_iteratedFDerivWithin_zero, Nat.factorial_zero, algebraMap.coe_one, one_mul,
pow_zero, mul_one, comp_apply] using hC 0 le_rfl
have M : (n : ℕ∞) < n.succ := Nat.cast_lt.2 n.lt_succ_self
have Cnonneg : 0 ≤ C := (norm_nonneg _).trans (hC 0 bot_le)
have Dnonneg : 0 ≤ D := by
have : 1 ≤ n + 1 := by simp only [le_add_iff_nonneg_left, zero_le']
simpa only [pow_one] using (norm_nonneg _).trans (hD 1 le_rfl this)
-- use the inductive assumption to bound the derivatives of `g' ∘ f`.
have I : ∀ i ∈ Finset.range (n + 1),
‖iteratedFDerivWithin 𝕜 i (fderivWithin 𝕜 g t ∘ f) s x‖ ≤ i ! * C * D ^ i := by
intro i hi
simp only [Finset.mem_range_succ_iff] at hi
apply IH i hi
· apply hg.fderivWithin ht
simp only [Nat.cast_succ]
exact add_le_add_right (Nat.cast_le.2 hi) _
· apply hf.of_le (Nat.cast_le.2 (hi.trans n.le_succ))
· intro j hj
have : ‖iteratedFDerivWithin 𝕜 j (fderivWithin 𝕜 g t) t (f x)‖ =
‖iteratedFDerivWithin 𝕜 (j + 1) g t (f x)‖ := by
rw [iteratedFDerivWithin_succ_eq_comp_right ht (hst hx), comp_apply,
LinearIsometryEquiv.norm_map]
rw [this]
exact hC (j + 1) (add_le_add (hj.trans hi) le_rfl)
· intro j hj h'j
exact hD j hj (h'j.trans (hi.trans n.le_succ))
-- reformulate `hD` as a bound for the derivatives of `f'`.
have J : ∀ i, ‖iteratedFDerivWithin 𝕜 (n - i) (fderivWithin 𝕜 f s) s x‖ ≤ D ^ (n - i + 1) := by
intro i
have : ‖iteratedFDerivWithin 𝕜 (n - i) (fderivWithin 𝕜 f s) s x‖ =
‖iteratedFDerivWithin 𝕜 (n - i + 1) f s x‖ := by
rw [iteratedFDerivWithin_succ_eq_comp_right hs hx, comp_apply, LinearIsometryEquiv.norm_map]
rw [this]
apply hD
· simp only [le_add_iff_nonneg_left, zero_le']
· apply Nat.succ_le_succ tsub_le_self
-- Now put these together: first, notice that we have to bound `D^n (g' ∘ f ⬝ f')`.
calc
‖iteratedFDerivWithin 𝕜 (n + 1) (g ∘ f) s x‖ =
‖iteratedFDerivWithin 𝕜 n (fun y : E => fderivWithin 𝕜 (g ∘ f) s y) s x‖ := by
rw [iteratedFDerivWithin_succ_eq_comp_right hs hx, comp_apply,
LinearIsometryEquiv.norm_map]
_ = ‖iteratedFDerivWithin 𝕜 n (fun y : E => ContinuousLinearMap.compL 𝕜 E Fu Gu
(fderivWithin 𝕜 g t (f y)) (fderivWithin 𝕜 f s y)) s x‖ := by
have L : (1 : ℕ∞) ≤ n.succ := by simpa only [ENat.coe_one, Nat.one_le_cast] using n.succ_pos
congr 1
refine iteratedFDerivWithin_congr (fun y hy => ?_) hx _
apply fderivWithin.comp _ _ _ hst (hs y hy)
· exact hg.differentiableOn L _ (hst hy)
· exact hf.differentiableOn L _ hy
-- bound it using the fact that the composition of linear maps is a bilinear operation,
-- for which we have bounds for the`n`-th derivative.
_ ≤ ∑ i ∈ Finset.range (n + 1),
(n.choose i : ℝ) * ‖iteratedFDerivWithin 𝕜 i (fderivWithin 𝕜 g t ∘ f) s x‖ *
‖iteratedFDerivWithin 𝕜 (n - i) (fderivWithin 𝕜 f s) s x‖ := by
have A : ContDiffOn 𝕜 n (fderivWithin 𝕜 g t ∘ f) s := by
apply ContDiffOn.comp _ (hf.of_le M.le) hst
apply hg.fderivWithin ht
simp only [Nat.cast_succ, le_refl]
have B : ContDiffOn 𝕜 n (fderivWithin 𝕜 f s) s := by
apply hf.fderivWithin hs
simp only [Nat.cast_succ, le_refl]
exact (ContinuousLinearMap.compL 𝕜 E Fu Gu).norm_iteratedFDerivWithin_le_of_bilinear_of_le_one
A B hs hx le_rfl (ContinuousLinearMap.norm_compL_le 𝕜 E Fu Gu)
-- bound each of the terms using the estimates on previous derivatives (that use the inductive
-- assumption for `g' ∘ f`).
_ ≤ ∑ i ∈ Finset.range (n + 1), (n.choose i : ℝ) * (i ! * C * D ^ i) * D ^ (n - i + 1) := by
gcongr with i hi
· simp only [mul_assoc (n.choose i : ℝ)]
exact I i hi
· exact J i
-- We are left with trivial algebraic manipulations to see that this is smaller than
-- the claimed bound.
_ = ∑ i ∈ Finset.range (n + 1),
-- Porting note: had to insert a few more explicit type ascriptions in this and similar
-- expressions.
(n ! : ℝ) * ((i ! : ℝ)⁻¹ * i !) * C * (D ^ i * D ^ (n - i + 1)) * ((n - i)! : ℝ)⁻¹ := by
congr! 1 with i hi
simp only [Nat.cast_choose ℝ (Finset.mem_range_succ_iff.1 hi), div_eq_inv_mul, mul_inv]
ring
_ = ∑ i ∈ Finset.range (n + 1), (n ! : ℝ) * 1 * C * D ^ (n + 1) * ((n - i)! : ℝ)⁻¹ := by
congr! with i hi
· apply inv_mul_cancel
simpa only [Ne, Nat.cast_eq_zero] using i.factorial_ne_zero
· rw [← pow_add]
congr 1
rw [Nat.add_succ, Nat.succ_inj']
exact Nat.add_sub_of_le (Finset.mem_range_succ_iff.1 hi)
_ ≤ ∑ i ∈ Finset.range (n + 1), (n ! : ℝ) * 1 * C * D ^ (n + 1) * 1 := by
gcongr with i
apply inv_le_one
simpa only [Nat.one_le_cast] using (n - i).factorial_pos
_ = (n + 1)! * C * D ^ (n + 1) := by
simp only [mul_assoc, mul_one, Finset.sum_const, Finset.card_range, nsmul_eq_mul,
Nat.factorial_succ, Nat.cast_mul]
#align norm_iterated_fderiv_within_comp_le_aux norm_iteratedFDerivWithin_comp_le_aux
| Mathlib/Analysis/Calculus/ContDiff/Bounds.lean | 474 | 520 | theorem norm_iteratedFDerivWithin_comp_le {g : F → G} {f : E → F} {n : ℕ} {s : Set E} {t : Set F}
{x : E} {N : ℕ∞} (hg : ContDiffOn 𝕜 N g t) (hf : ContDiffOn 𝕜 N f s) (hn : (n : ℕ∞) ≤ N)
(ht : UniqueDiffOn 𝕜 t) (hs : UniqueDiffOn 𝕜 s) (hst : MapsTo f s t) (hx : x ∈ s) {C : ℝ}
{D : ℝ} (hC : ∀ i, i ≤ n → ‖iteratedFDerivWithin 𝕜 i g t (f x)‖ ≤ C)
(hD : ∀ i, 1 ≤ i → i ≤ n → ‖iteratedFDerivWithin 𝕜 i f s x‖ ≤ D ^ i) :
‖iteratedFDerivWithin 𝕜 n (g ∘ f) s x‖ ≤ n ! * C * D ^ n := by |
/- We reduce the bound to the case where all spaces live in the same universe (in which we
already have proved the result), by using linear isometries between the spaces and their `ULift`
to a common universe. These linear isometries preserve the norm of the iterated derivative. -/
let Fu : Type max uF uG := ULift.{uG, uF} F
let Gu : Type max uF uG := ULift.{uF, uG} G
have isoF : Fu ≃ₗᵢ[𝕜] F := LinearIsometryEquiv.ulift 𝕜 F
have isoG : Gu ≃ₗᵢ[𝕜] G := LinearIsometryEquiv.ulift 𝕜 G
-- lift `f` and `g` to versions `fu` and `gu` on the lifted spaces.
let fu : E → Fu := isoF.symm ∘ f
let gu : Fu → Gu := isoG.symm ∘ g ∘ isoF
let tu := isoF ⁻¹' t
have htu : UniqueDiffOn 𝕜 tu := isoF.toContinuousLinearEquiv.uniqueDiffOn_preimage_iff.2 ht
have hstu : MapsTo fu s tu := fun y hy ↦ by
simpa only [fu, tu, mem_preimage, comp_apply, LinearIsometryEquiv.apply_symm_apply] using hst hy
have Ffu : isoF (fu x) = f x := by
simp only [fu, comp_apply, LinearIsometryEquiv.apply_symm_apply]
-- All norms are preserved by the lifting process.
have hfu : ContDiffOn 𝕜 n fu s := isoF.symm.contDiff.comp_contDiffOn (hf.of_le hn)
have hgu : ContDiffOn 𝕜 n gu tu :=
isoG.symm.contDiff.comp_contDiffOn
((hg.of_le hn).comp_continuousLinearMap (isoF : Fu →L[𝕜] F))
have Nfu : ∀ i, ‖iteratedFDerivWithin 𝕜 i fu s x‖ = ‖iteratedFDerivWithin 𝕜 i f s x‖ := fun i ↦ by
rw [LinearIsometryEquiv.norm_iteratedFDerivWithin_comp_left _ _ hs hx]
simp_rw [← Nfu] at hD
have Ngu : ∀ i,
‖iteratedFDerivWithin 𝕜 i gu tu (fu x)‖ = ‖iteratedFDerivWithin 𝕜 i g t (f x)‖ := fun i ↦ by
rw [LinearIsometryEquiv.norm_iteratedFDerivWithin_comp_left _ _ htu (hstu hx)]
rw [LinearIsometryEquiv.norm_iteratedFDerivWithin_comp_right _ _ ht, Ffu]
rw [Ffu]
exact hst hx
simp_rw [← Ngu] at hC
have Nfgu :
‖iteratedFDerivWithin 𝕜 n (g ∘ f) s x‖ = ‖iteratedFDerivWithin 𝕜 n (gu ∘ fu) s x‖ := by
have : gu ∘ fu = isoG.symm ∘ g ∘ f := by
ext x
simp only [fu, gu, comp_apply, LinearIsometryEquiv.map_eq_iff,
LinearIsometryEquiv.apply_symm_apply]
rw [this, LinearIsometryEquiv.norm_iteratedFDerivWithin_comp_left _ _ hs hx]
-- deduce the required bound from the one for `gu ∘ fu`.
rw [Nfgu]
exact norm_iteratedFDerivWithin_comp_le_aux hgu hfu htu hs hstu hx hC hD
|
import Mathlib.Dynamics.Ergodic.MeasurePreserving
#align_import dynamics.ergodic.ergodic from "leanprover-community/mathlib"@"809e920edfa343283cea507aedff916ea0f1bd88"
open Set Function Filter MeasureTheory MeasureTheory.Measure
open ENNReal
variable {α : Type*} {m : MeasurableSpace α} (f : α → α) {s : Set α}
structure PreErgodic (μ : Measure α := by volume_tac) : Prop where
ae_empty_or_univ : ∀ ⦃s⦄, MeasurableSet s → f ⁻¹' s = s → s =ᵐ[μ] (∅ : Set α) ∨ s =ᵐ[μ] univ
#align pre_ergodic PreErgodic
-- porting note (#5171): removed @[nolint has_nonempty_instance]
structure Ergodic (μ : Measure α := by volume_tac) extends
MeasurePreserving f μ μ, PreErgodic f μ : Prop
#align ergodic Ergodic
-- porting note (#5171): removed @[nolint has_nonempty_instance]
structure QuasiErgodic (μ : Measure α := by volume_tac) extends
QuasiMeasurePreserving f μ μ, PreErgodic f μ : Prop
#align quasi_ergodic QuasiErgodic
variable {f} {μ : Measure α}
namespace MeasureTheory.MeasurePreserving
variable {β : Type*} {m' : MeasurableSpace β} {μ' : Measure β} {s' : Set β} {g : α → β}
theorem preErgodic_of_preErgodic_conjugate (hg : MeasurePreserving g μ μ') (hf : PreErgodic f μ)
{f' : β → β} (h_comm : g ∘ f = f' ∘ g) : PreErgodic f' μ' :=
⟨by
intro s hs₀ hs₁
replace hs₁ : f ⁻¹' (g ⁻¹' s) = g ⁻¹' s := by rw [← preimage_comp, h_comm, preimage_comp, hs₁]
cases' hf.ae_empty_or_univ (hg.measurable hs₀) hs₁ with hs₂ hs₂ <;> [left; right]
· simpa only [ae_eq_empty, hg.measure_preimage hs₀] using hs₂
· simpa only [ae_eq_univ, ← preimage_compl, hg.measure_preimage hs₀.compl] using hs₂⟩
#align measure_theory.measure_preserving.pre_ergodic_of_pre_ergodic_conjugate MeasureTheory.MeasurePreserving.preErgodic_of_preErgodic_conjugate
| Mathlib/Dynamics/Ergodic/Ergodic.lean | 99 | 106 | theorem preErgodic_conjugate_iff {e : α ≃ᵐ β} (h : MeasurePreserving e μ μ') :
PreErgodic (e ∘ f ∘ e.symm) μ' ↔ PreErgodic f μ := by |
refine ⟨fun hf => preErgodic_of_preErgodic_conjugate (h.symm e) hf ?_,
fun hf => preErgodic_of_preErgodic_conjugate h hf ?_⟩
· change (e.symm ∘ e) ∘ f ∘ e.symm = f ∘ e.symm
rw [MeasurableEquiv.symm_comp_self, id_comp]
· change e ∘ f = e ∘ f ∘ e.symm ∘ e
rw [MeasurableEquiv.symm_comp_self, comp_id]
|
import Mathlib.Order.Filter.Cofinite
#align_import topology.bornology.basic from "leanprover-community/mathlib"@"8631e2d5ea77f6c13054d9151d82b83069680cb1"
open Set Filter
variable {ι α β : Type*}
class Bornology (α : Type*) where
cobounded' : Filter α
le_cofinite' : cobounded' ≤ cofinite
#align bornology Bornology
def Bornology.cobounded (α : Type*) [Bornology α] : Filter α := Bornology.cobounded'
#align bornology.cobounded Bornology.cobounded
alias Bornology.Simps.cobounded := Bornology.cobounded
lemma Bornology.le_cofinite (α : Type*) [Bornology α] : cobounded α ≤ cofinite :=
Bornology.le_cofinite'
#align bornology.le_cofinite Bornology.le_cofinite
initialize_simps_projections Bornology (cobounded' → cobounded)
@[ext]
lemma Bornology.ext (t t' : Bornology α)
(h_cobounded : @Bornology.cobounded α t = @Bornology.cobounded α t') :
t = t' := by
cases t
cases t'
congr
#align bornology.ext Bornology.ext
lemma Bornology.ext_iff (t t' : Bornology α) :
t = t' ↔ @Bornology.cobounded α t = @Bornology.cobounded α t' :=
⟨congrArg _, Bornology.ext _ _⟩
#align bornology.ext_iff Bornology.ext_iff
@[simps]
def Bornology.ofBounded {α : Type*} (B : Set (Set α))
(empty_mem : ∅ ∈ B)
(subset_mem : ∀ s₁ ∈ B, ∀ s₂ ⊆ s₁, s₂ ∈ B)
(union_mem : ∀ s₁ ∈ B, ∀ s₂ ∈ B, s₁ ∪ s₂ ∈ B)
(singleton_mem : ∀ x, {x} ∈ B) : Bornology α where
cobounded' := comk (· ∈ B) empty_mem subset_mem union_mem
le_cofinite' := by simpa [le_cofinite_iff_compl_singleton_mem]
#align bornology.of_bounded Bornology.ofBounded
#align bornology.of_bounded_cobounded_sets Bornology.ofBounded_cobounded
@[simps! cobounded]
def Bornology.ofBounded' {α : Type*} (B : Set (Set α))
(empty_mem : ∅ ∈ B)
(subset_mem : ∀ s₁ ∈ B, ∀ s₂ ⊆ s₁, s₂ ∈ B)
(union_mem : ∀ s₁ ∈ B, ∀ s₂ ∈ B, s₁ ∪ s₂ ∈ B)
(sUnion_univ : ⋃₀ B = univ) :
Bornology α :=
Bornology.ofBounded B empty_mem subset_mem union_mem fun x => by
rw [sUnion_eq_univ_iff] at sUnion_univ
rcases sUnion_univ x with ⟨s, hs, hxs⟩
exact subset_mem s hs {x} (singleton_subset_iff.mpr hxs)
#align bornology.of_bounded' Bornology.ofBounded'
#align bornology.of_bounded'_cobounded_sets Bornology.ofBounded'_cobounded
namespace Bornology
section
def IsCobounded [Bornology α] (s : Set α) : Prop :=
s ∈ cobounded α
#align bornology.is_cobounded Bornology.IsCobounded
def IsBounded [Bornology α] (s : Set α) : Prop :=
IsCobounded sᶜ
#align bornology.is_bounded Bornology.IsBounded
variable {_ : Bornology α} {s t : Set α} {x : α}
theorem isCobounded_def {s : Set α} : IsCobounded s ↔ s ∈ cobounded α :=
Iff.rfl
#align bornology.is_cobounded_def Bornology.isCobounded_def
theorem isBounded_def {s : Set α} : IsBounded s ↔ sᶜ ∈ cobounded α :=
Iff.rfl
#align bornology.is_bounded_def Bornology.isBounded_def
@[simp]
theorem isBounded_compl_iff : IsBounded sᶜ ↔ IsCobounded s := by
rw [isBounded_def, isCobounded_def, compl_compl]
#align bornology.is_bounded_compl_iff Bornology.isBounded_compl_iff
@[simp]
theorem isCobounded_compl_iff : IsCobounded sᶜ ↔ IsBounded s :=
Iff.rfl
#align bornology.is_cobounded_compl_iff Bornology.isCobounded_compl_iff
alias ⟨IsBounded.of_compl, IsCobounded.compl⟩ := isBounded_compl_iff
#align bornology.is_bounded.of_compl Bornology.IsBounded.of_compl
#align bornology.is_cobounded.compl Bornology.IsCobounded.compl
alias ⟨IsCobounded.of_compl, IsBounded.compl⟩ := isCobounded_compl_iff
#align bornology.is_cobounded.of_compl Bornology.IsCobounded.of_compl
#align bornology.is_bounded.compl Bornology.IsBounded.compl
@[simp]
theorem isBounded_empty : IsBounded (∅ : Set α) := by
rw [isBounded_def, compl_empty]
exact univ_mem
#align bornology.is_bounded_empty Bornology.isBounded_empty
theorem nonempty_of_not_isBounded (h : ¬IsBounded s) : s.Nonempty := by
rw [nonempty_iff_ne_empty]
rintro rfl
exact h isBounded_empty
#align metric.nonempty_of_unbounded Bornology.nonempty_of_not_isBounded
@[simp]
theorem isBounded_singleton : IsBounded ({x} : Set α) := by
rw [isBounded_def]
exact le_cofinite _ (finite_singleton x).compl_mem_cofinite
#align bornology.is_bounded_singleton Bornology.isBounded_singleton
theorem isBounded_iff_forall_mem : IsBounded s ↔ ∀ x ∈ s, IsBounded s :=
⟨fun h _ _ ↦ h, fun h ↦ by
rcases s.eq_empty_or_nonempty with rfl | ⟨x, hx⟩
exacts [isBounded_empty, h x hx]⟩
@[simp]
theorem isCobounded_univ : IsCobounded (univ : Set α) :=
univ_mem
#align bornology.is_cobounded_univ Bornology.isCobounded_univ
@[simp]
theorem isCobounded_inter : IsCobounded (s ∩ t) ↔ IsCobounded s ∧ IsCobounded t :=
inter_mem_iff
#align bornology.is_cobounded_inter Bornology.isCobounded_inter
theorem IsCobounded.inter (hs : IsCobounded s) (ht : IsCobounded t) : IsCobounded (s ∩ t) :=
isCobounded_inter.2 ⟨hs, ht⟩
#align bornology.is_cobounded.inter Bornology.IsCobounded.inter
@[simp]
| Mathlib/Topology/Bornology/Basic.lean | 198 | 199 | theorem isBounded_union : IsBounded (s ∪ t) ↔ IsBounded s ∧ IsBounded t := by |
simp only [← isCobounded_compl_iff, compl_union, isCobounded_inter]
|
import Mathlib.Topology.Sets.Closeds
#align_import topology.noetherian_space from "leanprover-community/mathlib"@"dc6c365e751e34d100e80fe6e314c3c3e0fd2988"
variable (α β : Type*) [TopologicalSpace α] [TopologicalSpace β]
namespace TopologicalSpace
@[mk_iff]
class NoetherianSpace : Prop where
wellFounded_opens : WellFounded ((· > ·) : Opens α → Opens α → Prop)
#align topological_space.noetherian_space TopologicalSpace.NoetherianSpace
theorem noetherianSpace_iff_opens : NoetherianSpace α ↔ ∀ s : Opens α, IsCompact (s : Set α) := by
rw [noetherianSpace_iff, CompleteLattice.wellFounded_iff_isSupFiniteCompact,
CompleteLattice.isSupFiniteCompact_iff_all_elements_compact]
exact forall_congr' Opens.isCompactElement_iff
#align topological_space.noetherian_space_iff_opens TopologicalSpace.noetherianSpace_iff_opens
instance (priority := 100) NoetherianSpace.compactSpace [h : NoetherianSpace α] : CompactSpace α :=
⟨(noetherianSpace_iff_opens α).mp h ⊤⟩
#align topological_space.noetherian_space.compact_space TopologicalSpace.NoetherianSpace.compactSpace
variable {α β}
protected theorem NoetherianSpace.isCompact [NoetherianSpace α] (s : Set α) : IsCompact s := by
refine isCompact_iff_finite_subcover.2 fun U hUo hs => ?_
rcases ((noetherianSpace_iff_opens α).mp ‹_› ⟨⋃ i, U i, isOpen_iUnion hUo⟩).elim_finite_subcover U
hUo Set.Subset.rfl with ⟨t, ht⟩
exact ⟨t, hs.trans ht⟩
#align topological_space.noetherian_space.is_compact TopologicalSpace.NoetherianSpace.isCompact
-- Porting note: fixed NS
protected theorem _root_.Inducing.noetherianSpace [NoetherianSpace α] {i : β → α}
(hi : Inducing i) : NoetherianSpace β :=
(noetherianSpace_iff_opens _).2 fun _ => hi.isCompact_iff.2 (NoetherianSpace.isCompact _)
#align topological_space.inducing.noetherian_space Inducing.noetherianSpace
instance NoetherianSpace.set [NoetherianSpace α] (s : Set α) : NoetherianSpace s :=
inducing_subtype_val.noetherianSpace
#align topological_space.noetherian_space.set TopologicalSpace.NoetherianSpace.set
variable (α)
open List in
theorem noetherianSpace_TFAE :
TFAE [NoetherianSpace α,
WellFounded fun s t : Closeds α => s < t,
∀ s : Set α, IsCompact s,
∀ s : Opens α, IsCompact (s : Set α)] := by
tfae_have 1 ↔ 2
· refine (noetherianSpace_iff α).trans (Opens.compl_bijective.2.wellFounded_iff ?_)
exact (@OrderIso.compl (Set α)).lt_iff_lt.symm
tfae_have 1 ↔ 4
· exact noetherianSpace_iff_opens α
tfae_have 1 → 3
· exact @NoetherianSpace.isCompact α _
tfae_have 3 → 4
· exact fun h s => h s
tfae_finish
#align topological_space.noetherian_space_tfae TopologicalSpace.noetherianSpace_TFAE
variable {α}
theorem noetherianSpace_iff_isCompact : NoetherianSpace α ↔ ∀ s : Set α, IsCompact s :=
(noetherianSpace_TFAE α).out 0 2
theorem NoetherianSpace.wellFounded_closeds [NoetherianSpace α] :
WellFounded fun s t : Closeds α => s < t :=
Iff.mp ((noetherianSpace_TFAE α).out 0 1) ‹_›
instance {α} : NoetherianSpace (CofiniteTopology α) := by
simp only [noetherianSpace_iff_isCompact, isCompact_iff_ultrafilter_le_nhds,
CofiniteTopology.nhds_eq, Ultrafilter.le_sup_iff, Filter.le_principal_iff]
intro s f hs
rcases f.le_cofinite_or_eq_pure with (hf | ⟨a, rfl⟩)
· rcases Filter.nonempty_of_mem hs with ⟨a, ha⟩
exact ⟨a, ha, Or.inr hf⟩
· exact ⟨a, hs, Or.inl le_rfl⟩
theorem noetherianSpace_of_surjective [NoetherianSpace α] (f : α → β) (hf : Continuous f)
(hf' : Function.Surjective f) : NoetherianSpace β :=
noetherianSpace_iff_isCompact.2 <| (Set.image_surjective.mpr hf').forall.2 fun s =>
(NoetherianSpace.isCompact s).image hf
#align topological_space.noetherian_space_of_surjective TopologicalSpace.noetherianSpace_of_surjective
theorem noetherianSpace_iff_of_homeomorph (f : α ≃ₜ β) : NoetherianSpace α ↔ NoetherianSpace β :=
⟨fun _ => noetherianSpace_of_surjective f f.continuous f.surjective,
fun _ => noetherianSpace_of_surjective f.symm f.symm.continuous f.symm.surjective⟩
#align topological_space.noetherian_space_iff_of_homeomorph TopologicalSpace.noetherianSpace_iff_of_homeomorph
theorem NoetherianSpace.range [NoetherianSpace α] (f : α → β) (hf : Continuous f) :
NoetherianSpace (Set.range f) :=
noetherianSpace_of_surjective (Set.rangeFactorization f) (hf.subtype_mk _)
Set.surjective_onto_range
#align topological_space.noetherian_space.range TopologicalSpace.NoetherianSpace.range
theorem noetherianSpace_set_iff (s : Set α) :
NoetherianSpace s ↔ ∀ t, t ⊆ s → IsCompact t := by
simp only [noetherianSpace_iff_isCompact, embedding_subtype_val.isCompact_iff,
Subtype.forall_set_subtype]
#align topological_space.noetherian_space_set_iff TopologicalSpace.noetherianSpace_set_iff
@[simp]
theorem noetherian_univ_iff : NoetherianSpace (Set.univ : Set α) ↔ NoetherianSpace α :=
noetherianSpace_iff_of_homeomorph (Homeomorph.Set.univ α)
#align topological_space.noetherian_univ_iff TopologicalSpace.noetherian_univ_iff
| Mathlib/Topology/NoetherianSpace.lean | 150 | 155 | theorem NoetherianSpace.iUnion {ι : Type*} (f : ι → Set α) [Finite ι]
[hf : ∀ i, NoetherianSpace (f i)] : NoetherianSpace (⋃ i, f i) := by |
simp_rw [noetherianSpace_set_iff] at hf ⊢
intro t ht
rw [← Set.inter_eq_left.mpr ht, Set.inter_iUnion]
exact isCompact_iUnion fun i => hf i _ Set.inter_subset_right
|
import Mathlib.Data.List.Defs
import Mathlib.Data.Option.Basic
import Mathlib.Data.Nat.Defs
import Mathlib.Init.Data.List.Basic
import Mathlib.Util.AssertExists
-- Make sure we haven't imported `Data.Nat.Order.Basic`
assert_not_exists OrderedSub
namespace List
universe u v
variable {α : Type u} {β : Type v} (l : List α) (x : α) (xs : List α) (n : ℕ)
section getD
variable (d : α)
#align list.nthd_nil List.getD_nilₓ -- argument order
#align list.nthd_cons_zero List.getD_cons_zeroₓ -- argument order
#align list.nthd_cons_succ List.getD_cons_succₓ -- argument order
theorem getD_eq_get {n : ℕ} (hn : n < l.length) : l.getD n d = l.get ⟨n, hn⟩ := by
induction l generalizing n with
| nil => simp at hn
| cons head tail ih =>
cases n
· exact getD_cons_zero
· exact ih _
@[simp]
theorem getD_map {n : ℕ} (f : α → β) : (map f l).getD n (f d) = f (l.getD n d) := by
induction l generalizing n with
| nil => rfl
| cons head tail ih =>
cases n
· rfl
· simp [ih]
#align list.nthd_eq_nth_le List.getD_eq_get
| Mathlib/Data/List/GetD.lean | 57 | 63 | theorem getD_eq_default {n : ℕ} (hn : l.length ≤ n) : l.getD n d = d := by |
induction l generalizing n with
| nil => exact getD_nil
| cons head tail ih =>
cases n
· simp at hn
· exact ih (Nat.le_of_succ_le_succ hn)
|
import Mathlib.Topology.Algebra.Constructions
import Mathlib.Topology.Bases
import Mathlib.Topology.UniformSpace.Basic
#align_import topology.uniform_space.cauchy from "leanprover-community/mathlib"@"22131150f88a2d125713ffa0f4693e3355b1eb49"
universe u v
open scoped Classical
open Filter TopologicalSpace Set UniformSpace Function
open scoped Classical
open Uniformity Topology Filter
variable {α : Type u} {β : Type v} [uniformSpace : UniformSpace α]
def Cauchy (f : Filter α) :=
NeBot f ∧ f ×ˢ f ≤ 𝓤 α
#align cauchy Cauchy
def IsComplete (s : Set α) :=
∀ f, Cauchy f → f ≤ 𝓟 s → ∃ x ∈ s, f ≤ 𝓝 x
#align is_complete IsComplete
theorem Filter.HasBasis.cauchy_iff {ι} {p : ι → Prop} {s : ι → Set (α × α)} (h : (𝓤 α).HasBasis p s)
{f : Filter α} :
Cauchy f ↔ NeBot f ∧ ∀ i, p i → ∃ t ∈ f, ∀ x ∈ t, ∀ y ∈ t, (x, y) ∈ s i :=
and_congr Iff.rfl <|
(f.basis_sets.prod_self.le_basis_iff h).trans <| by
simp only [subset_def, Prod.forall, mem_prod_eq, and_imp, id, forall_mem_comm]
#align filter.has_basis.cauchy_iff Filter.HasBasis.cauchy_iff
theorem cauchy_iff' {f : Filter α} :
Cauchy f ↔ NeBot f ∧ ∀ s ∈ 𝓤 α, ∃ t ∈ f, ∀ x ∈ t, ∀ y ∈ t, (x, y) ∈ s :=
(𝓤 α).basis_sets.cauchy_iff
#align cauchy_iff' cauchy_iff'
theorem cauchy_iff {f : Filter α} : Cauchy f ↔ NeBot f ∧ ∀ s ∈ 𝓤 α, ∃ t ∈ f, t ×ˢ t ⊆ s :=
cauchy_iff'.trans <| by
simp only [subset_def, Prod.forall, mem_prod_eq, and_imp, id, forall_mem_comm]
#align cauchy_iff cauchy_iff
lemma cauchy_iff_le {l : Filter α} [hl : l.NeBot] :
Cauchy l ↔ l ×ˢ l ≤ 𝓤 α := by
simp only [Cauchy, hl, true_and]
theorem Cauchy.ultrafilter_of {l : Filter α} (h : Cauchy l) :
Cauchy (@Ultrafilter.of _ l h.1 : Filter α) := by
haveI := h.1
have := Ultrafilter.of_le l
exact ⟨Ultrafilter.neBot _, (Filter.prod_mono this this).trans h.2⟩
#align cauchy.ultrafilter_of Cauchy.ultrafilter_of
theorem cauchy_map_iff {l : Filter β} {f : β → α} :
Cauchy (l.map f) ↔ NeBot l ∧ Tendsto (fun p : β × β => (f p.1, f p.2)) (l ×ˢ l) (𝓤 α) := by
rw [Cauchy, map_neBot_iff, prod_map_map_eq, Tendsto]
#align cauchy_map_iff cauchy_map_iff
theorem cauchy_map_iff' {l : Filter β} [hl : NeBot l] {f : β → α} :
Cauchy (l.map f) ↔ Tendsto (fun p : β × β => (f p.1, f p.2)) (l ×ˢ l) (𝓤 α) :=
cauchy_map_iff.trans <| and_iff_right hl
#align cauchy_map_iff' cauchy_map_iff'
theorem Cauchy.mono {f g : Filter α} [hg : NeBot g] (h_c : Cauchy f) (h_le : g ≤ f) : Cauchy g :=
⟨hg, le_trans (Filter.prod_mono h_le h_le) h_c.right⟩
#align cauchy.mono Cauchy.mono
theorem Cauchy.mono' {f g : Filter α} (h_c : Cauchy f) (_ : NeBot g) (h_le : g ≤ f) : Cauchy g :=
h_c.mono h_le
#align cauchy.mono' Cauchy.mono'
theorem cauchy_nhds {a : α} : Cauchy (𝓝 a) :=
⟨nhds_neBot, nhds_prod_eq.symm.trans_le (nhds_le_uniformity a)⟩
#align cauchy_nhds cauchy_nhds
theorem cauchy_pure {a : α} : Cauchy (pure a) :=
cauchy_nhds.mono (pure_le_nhds a)
#align cauchy_pure cauchy_pure
theorem Filter.Tendsto.cauchy_map {l : Filter β} [NeBot l] {f : β → α} {a : α}
(h : Tendsto f l (𝓝 a)) : Cauchy (map f l) :=
cauchy_nhds.mono h
#align filter.tendsto.cauchy_map Filter.Tendsto.cauchy_map
lemma Cauchy.mono_uniformSpace {u v : UniformSpace β} {F : Filter β} (huv : u ≤ v)
(hF : Cauchy (uniformSpace := u) F) : Cauchy (uniformSpace := v) F :=
⟨hF.1, hF.2.trans huv⟩
lemma cauchy_inf_uniformSpace {u v : UniformSpace β} {F : Filter β} :
Cauchy (uniformSpace := u ⊓ v) F ↔
Cauchy (uniformSpace := u) F ∧ Cauchy (uniformSpace := v) F := by
unfold Cauchy
rw [inf_uniformity (u := u), le_inf_iff, and_and_left]
lemma cauchy_iInf_uniformSpace {ι : Sort*} [Nonempty ι] {u : ι → UniformSpace β}
{l : Filter β} :
Cauchy (uniformSpace := ⨅ i, u i) l ↔ ∀ i, Cauchy (uniformSpace := u i) l := by
unfold Cauchy
rw [iInf_uniformity, le_iInf_iff, forall_and, forall_const]
lemma cauchy_iInf_uniformSpace' {ι : Sort*} {u : ι → UniformSpace β}
{l : Filter β} [l.NeBot] :
Cauchy (uniformSpace := ⨅ i, u i) l ↔ ∀ i, Cauchy (uniformSpace := u i) l := by
simp_rw [cauchy_iff_le (uniformSpace := _), iInf_uniformity, le_iInf_iff]
lemma cauchy_comap_uniformSpace {u : UniformSpace β} {f : α → β} {l : Filter α} :
Cauchy (uniformSpace := comap f u) l ↔ Cauchy (map f l) := by
simp only [Cauchy, map_neBot_iff, prod_map_map_eq, map_le_iff_le_comap]
rfl
lemma cauchy_prod_iff [UniformSpace β] {F : Filter (α × β)} :
Cauchy F ↔ Cauchy (map Prod.fst F) ∧ Cauchy (map Prod.snd F) := by
simp_rw [instUniformSpaceProd, ← cauchy_comap_uniformSpace, ← cauchy_inf_uniformSpace]
theorem Cauchy.prod [UniformSpace β] {f : Filter α} {g : Filter β} (hf : Cauchy f) (hg : Cauchy g) :
Cauchy (f ×ˢ g) := by
have := hf.1; have := hg.1
simpa [cauchy_prod_iff, hf.1] using ⟨hf, hg⟩
#align cauchy.prod Cauchy.prod
| Mathlib/Topology/UniformSpace/Cauchy.lean | 141 | 151 | theorem le_nhds_of_cauchy_adhp_aux {f : Filter α} {x : α}
(adhs : ∀ s ∈ 𝓤 α, ∃ t ∈ f, t ×ˢ t ⊆ s ∧ ∃ y, (x, y) ∈ s ∧ y ∈ t) : f ≤ 𝓝 x := by |
-- Consider a neighborhood `s` of `x`
intro s hs
-- Take an entourage twice smaller than `s`
rcases comp_mem_uniformity_sets (mem_nhds_uniformity_iff_right.1 hs) with ⟨U, U_mem, hU⟩
-- Take a set `t ∈ f`, `t × t ⊆ U`, and a point `y ∈ t` such that `(x, y) ∈ U`
rcases adhs U U_mem with ⟨t, t_mem, ht, y, hxy, hy⟩
apply mem_of_superset t_mem
-- Given a point `z ∈ t`, we have `(x, y) ∈ U` and `(y, z) ∈ t × t ⊆ U`, hence `z ∈ s`
exact fun z hz => hU (prod_mk_mem_compRel hxy (ht <| mk_mem_prod hy hz)) rfl
|
import Mathlib.NumberTheory.LegendreSymbol.QuadraticChar.Basic
import Mathlib.NumberTheory.GaussSum
#align_import number_theory.legendre_symbol.quadratic_char.gauss_sum from "leanprover-community/mathlib"@"5b2fe80501ff327b9109fb09b7cc8c325cd0d7d9"
section SpecialValues
open ZMod MulChar
variable {F : Type*} [Field F] [Fintype F]
theorem quadraticChar_two [DecidableEq F] (hF : ringChar F ≠ 2) :
quadraticChar F 2 = χ₈ (Fintype.card F) :=
IsQuadratic.eq_of_eq_coe (quadraticChar_isQuadratic F) isQuadratic_χ₈ hF
((quadraticChar_eq_pow_of_char_ne_two' hF 2).trans (FiniteField.two_pow_card hF))
#align quadratic_char_two quadraticChar_two
| Mathlib/NumberTheory/LegendreSymbol/QuadraticChar/GaussSum.lean | 42 | 61 | theorem FiniteField.isSquare_two_iff :
IsSquare (2 : F) ↔ Fintype.card F % 8 ≠ 3 ∧ Fintype.card F % 8 ≠ 5 := by |
classical
by_cases hF : ringChar F = 2
focus
have h := FiniteField.even_card_of_char_two hF
simp only [FiniteField.isSquare_of_char_two hF, true_iff_iff]
rotate_left
focus
have h := FiniteField.odd_card_of_char_ne_two hF
rw [← quadraticChar_one_iff_isSquare (Ring.two_ne_zero hF), quadraticChar_two hF,
χ₈_nat_eq_if_mod_eight]
simp only [h, Nat.one_ne_zero, if_false, ite_eq_left_iff, Ne, (by decide : (-1 : ℤ) ≠ 1),
imp_false, Classical.not_not]
all_goals
rw [← Nat.mod_mod_of_dvd _ (by decide : 2 ∣ 8)] at h
have h₁ := Nat.mod_lt (Fintype.card F) (by decide : 0 < 8)
revert h₁ h
generalize Fintype.card F % 8 = n
intros; interval_cases n <;> simp_all -- Porting note (#11043): was `decide!`
|
import Mathlib.MeasureTheory.Function.LpOrder
#align_import measure_theory.function.l1_space from "leanprover-community/mathlib"@"ccdbfb6e5614667af5aa3ab2d50885e0ef44a46f"
noncomputable section
open scoped Classical
open Topology ENNReal MeasureTheory NNReal
open Set Filter TopologicalSpace ENNReal EMetric MeasureTheory
variable {α β γ δ : Type*} {m : MeasurableSpace α} {μ ν : Measure α} [MeasurableSpace δ]
variable [NormedAddCommGroup β]
variable [NormedAddCommGroup γ]
namespace MeasureTheory
theorem lintegral_nnnorm_eq_lintegral_edist (f : α → β) :
∫⁻ a, ‖f a‖₊ ∂μ = ∫⁻ a, edist (f a) 0 ∂μ := by simp only [edist_eq_coe_nnnorm]
#align measure_theory.lintegral_nnnorm_eq_lintegral_edist MeasureTheory.lintegral_nnnorm_eq_lintegral_edist
theorem lintegral_norm_eq_lintegral_edist (f : α → β) :
∫⁻ a, ENNReal.ofReal ‖f a‖ ∂μ = ∫⁻ a, edist (f a) 0 ∂μ := by
simp only [ofReal_norm_eq_coe_nnnorm, edist_eq_coe_nnnorm]
#align measure_theory.lintegral_norm_eq_lintegral_edist MeasureTheory.lintegral_norm_eq_lintegral_edist
theorem lintegral_edist_triangle {f g h : α → β} (hf : AEStronglyMeasurable f μ)
(hh : AEStronglyMeasurable h μ) :
(∫⁻ a, edist (f a) (g a) ∂μ) ≤ (∫⁻ a, edist (f a) (h a) ∂μ) + ∫⁻ a, edist (g a) (h a) ∂μ := by
rw [← lintegral_add_left' (hf.edist hh)]
refine lintegral_mono fun a => ?_
apply edist_triangle_right
#align measure_theory.lintegral_edist_triangle MeasureTheory.lintegral_edist_triangle
theorem lintegral_nnnorm_zero : (∫⁻ _ : α, ‖(0 : β)‖₊ ∂μ) = 0 := by simp
#align measure_theory.lintegral_nnnorm_zero MeasureTheory.lintegral_nnnorm_zero
theorem lintegral_nnnorm_add_left {f : α → β} (hf : AEStronglyMeasurable f μ) (g : α → γ) :
∫⁻ a, ‖f a‖₊ + ‖g a‖₊ ∂μ = (∫⁻ a, ‖f a‖₊ ∂μ) + ∫⁻ a, ‖g a‖₊ ∂μ :=
lintegral_add_left' hf.ennnorm _
#align measure_theory.lintegral_nnnorm_add_left MeasureTheory.lintegral_nnnorm_add_left
theorem lintegral_nnnorm_add_right (f : α → β) {g : α → γ} (hg : AEStronglyMeasurable g μ) :
∫⁻ a, ‖f a‖₊ + ‖g a‖₊ ∂μ = (∫⁻ a, ‖f a‖₊ ∂μ) + ∫⁻ a, ‖g a‖₊ ∂μ :=
lintegral_add_right' _ hg.ennnorm
#align measure_theory.lintegral_nnnorm_add_right MeasureTheory.lintegral_nnnorm_add_right
theorem lintegral_nnnorm_neg {f : α → β} : (∫⁻ a, ‖(-f) a‖₊ ∂μ) = ∫⁻ a, ‖f a‖₊ ∂μ := by
simp only [Pi.neg_apply, nnnorm_neg]
#align measure_theory.lintegral_nnnorm_neg MeasureTheory.lintegral_nnnorm_neg
def HasFiniteIntegral {_ : MeasurableSpace α} (f : α → β) (μ : Measure α := by volume_tac) : Prop :=
(∫⁻ a, ‖f a‖₊ ∂μ) < ∞
#align measure_theory.has_finite_integral MeasureTheory.HasFiniteIntegral
theorem hasFiniteIntegral_def {_ : MeasurableSpace α} (f : α → β) (μ : Measure α) :
HasFiniteIntegral f μ ↔ ((∫⁻ a, ‖f a‖₊ ∂μ) < ∞) :=
Iff.rfl
theorem hasFiniteIntegral_iff_norm (f : α → β) :
HasFiniteIntegral f μ ↔ (∫⁻ a, ENNReal.ofReal ‖f a‖ ∂μ) < ∞ := by
simp only [HasFiniteIntegral, ofReal_norm_eq_coe_nnnorm]
#align measure_theory.has_finite_integral_iff_norm MeasureTheory.hasFiniteIntegral_iff_norm
theorem hasFiniteIntegral_iff_edist (f : α → β) :
HasFiniteIntegral f μ ↔ (∫⁻ a, edist (f a) 0 ∂μ) < ∞ := by
simp only [hasFiniteIntegral_iff_norm, edist_dist, dist_zero_right]
#align measure_theory.has_finite_integral_iff_edist MeasureTheory.hasFiniteIntegral_iff_edist
theorem hasFiniteIntegral_iff_ofReal {f : α → ℝ} (h : 0 ≤ᵐ[μ] f) :
HasFiniteIntegral f μ ↔ (∫⁻ a, ENNReal.ofReal (f a) ∂μ) < ∞ := by
rw [HasFiniteIntegral, lintegral_nnnorm_eq_of_ae_nonneg h]
#align measure_theory.has_finite_integral_iff_of_real MeasureTheory.hasFiniteIntegral_iff_ofReal
theorem hasFiniteIntegral_iff_ofNNReal {f : α → ℝ≥0} :
HasFiniteIntegral (fun x => (f x : ℝ)) μ ↔ (∫⁻ a, f a ∂μ) < ∞ := by
simp [hasFiniteIntegral_iff_norm]
#align measure_theory.has_finite_integral_iff_of_nnreal MeasureTheory.hasFiniteIntegral_iff_ofNNReal
theorem HasFiniteIntegral.mono {f : α → β} {g : α → γ} (hg : HasFiniteIntegral g μ)
(h : ∀ᵐ a ∂μ, ‖f a‖ ≤ ‖g a‖) : HasFiniteIntegral f μ := by
simp only [hasFiniteIntegral_iff_norm] at *
calc
(∫⁻ a, ENNReal.ofReal ‖f a‖ ∂μ) ≤ ∫⁻ a : α, ENNReal.ofReal ‖g a‖ ∂μ :=
lintegral_mono_ae (h.mono fun a h => ofReal_le_ofReal h)
_ < ∞ := hg
#align measure_theory.has_finite_integral.mono MeasureTheory.HasFiniteIntegral.mono
theorem HasFiniteIntegral.mono' {f : α → β} {g : α → ℝ} (hg : HasFiniteIntegral g μ)
(h : ∀ᵐ a ∂μ, ‖f a‖ ≤ g a) : HasFiniteIntegral f μ :=
hg.mono <| h.mono fun _x hx => le_trans hx (le_abs_self _)
#align measure_theory.has_finite_integral.mono' MeasureTheory.HasFiniteIntegral.mono'
theorem HasFiniteIntegral.congr' {f : α → β} {g : α → γ} (hf : HasFiniteIntegral f μ)
(h : ∀ᵐ a ∂μ, ‖f a‖ = ‖g a‖) : HasFiniteIntegral g μ :=
hf.mono <| EventuallyEq.le <| EventuallyEq.symm h
#align measure_theory.has_finite_integral.congr' MeasureTheory.HasFiniteIntegral.congr'
theorem hasFiniteIntegral_congr' {f : α → β} {g : α → γ} (h : ∀ᵐ a ∂μ, ‖f a‖ = ‖g a‖) :
HasFiniteIntegral f μ ↔ HasFiniteIntegral g μ :=
⟨fun hf => hf.congr' h, fun hg => hg.congr' <| EventuallyEq.symm h⟩
#align measure_theory.has_finite_integral_congr' MeasureTheory.hasFiniteIntegral_congr'
theorem HasFiniteIntegral.congr {f g : α → β} (hf : HasFiniteIntegral f μ) (h : f =ᵐ[μ] g) :
HasFiniteIntegral g μ :=
hf.congr' <| h.fun_comp norm
#align measure_theory.has_finite_integral.congr MeasureTheory.HasFiniteIntegral.congr
theorem hasFiniteIntegral_congr {f g : α → β} (h : f =ᵐ[μ] g) :
HasFiniteIntegral f μ ↔ HasFiniteIntegral g μ :=
hasFiniteIntegral_congr' <| h.fun_comp norm
#align measure_theory.has_finite_integral_congr MeasureTheory.hasFiniteIntegral_congr
theorem hasFiniteIntegral_const_iff {c : β} :
HasFiniteIntegral (fun _ : α => c) μ ↔ c = 0 ∨ μ univ < ∞ := by
simp [HasFiniteIntegral, lintegral_const, lt_top_iff_ne_top, ENNReal.mul_eq_top,
or_iff_not_imp_left]
#align measure_theory.has_finite_integral_const_iff MeasureTheory.hasFiniteIntegral_const_iff
theorem hasFiniteIntegral_const [IsFiniteMeasure μ] (c : β) :
HasFiniteIntegral (fun _ : α => c) μ :=
hasFiniteIntegral_const_iff.2 (Or.inr <| measure_lt_top _ _)
#align measure_theory.has_finite_integral_const MeasureTheory.hasFiniteIntegral_const
theorem hasFiniteIntegral_of_bounded [IsFiniteMeasure μ] {f : α → β} {C : ℝ}
(hC : ∀ᵐ a ∂μ, ‖f a‖ ≤ C) : HasFiniteIntegral f μ :=
(hasFiniteIntegral_const C).mono' hC
#align measure_theory.has_finite_integral_of_bounded MeasureTheory.hasFiniteIntegral_of_bounded
theorem HasFiniteIntegral.of_finite [Finite α] [IsFiniteMeasure μ] {f : α → β} :
HasFiniteIntegral f μ :=
let ⟨_⟩ := nonempty_fintype α
hasFiniteIntegral_of_bounded <| ae_of_all μ <| norm_le_pi_norm f
@[deprecated (since := "2024-02-05")]
alias hasFiniteIntegral_of_fintype := HasFiniteIntegral.of_finite
theorem HasFiniteIntegral.mono_measure {f : α → β} (h : HasFiniteIntegral f ν) (hμ : μ ≤ ν) :
HasFiniteIntegral f μ :=
lt_of_le_of_lt (lintegral_mono' hμ le_rfl) h
#align measure_theory.has_finite_integral.mono_measure MeasureTheory.HasFiniteIntegral.mono_measure
theorem HasFiniteIntegral.add_measure {f : α → β} (hμ : HasFiniteIntegral f μ)
(hν : HasFiniteIntegral f ν) : HasFiniteIntegral f (μ + ν) := by
simp only [HasFiniteIntegral, lintegral_add_measure] at *
exact add_lt_top.2 ⟨hμ, hν⟩
#align measure_theory.has_finite_integral.add_measure MeasureTheory.HasFiniteIntegral.add_measure
theorem HasFiniteIntegral.left_of_add_measure {f : α → β} (h : HasFiniteIntegral f (μ + ν)) :
HasFiniteIntegral f μ :=
h.mono_measure <| Measure.le_add_right <| le_rfl
#align measure_theory.has_finite_integral.left_of_add_measure MeasureTheory.HasFiniteIntegral.left_of_add_measure
theorem HasFiniteIntegral.right_of_add_measure {f : α → β} (h : HasFiniteIntegral f (μ + ν)) :
HasFiniteIntegral f ν :=
h.mono_measure <| Measure.le_add_left <| le_rfl
#align measure_theory.has_finite_integral.right_of_add_measure MeasureTheory.HasFiniteIntegral.right_of_add_measure
@[simp]
theorem hasFiniteIntegral_add_measure {f : α → β} :
HasFiniteIntegral f (μ + ν) ↔ HasFiniteIntegral f μ ∧ HasFiniteIntegral f ν :=
⟨fun h => ⟨h.left_of_add_measure, h.right_of_add_measure⟩, fun h => h.1.add_measure h.2⟩
#align measure_theory.has_finite_integral_add_measure MeasureTheory.hasFiniteIntegral_add_measure
theorem HasFiniteIntegral.smul_measure {f : α → β} (h : HasFiniteIntegral f μ) {c : ℝ≥0∞}
(hc : c ≠ ∞) : HasFiniteIntegral f (c • μ) := by
simp only [HasFiniteIntegral, lintegral_smul_measure] at *
exact mul_lt_top hc h.ne
#align measure_theory.has_finite_integral.smul_measure MeasureTheory.HasFiniteIntegral.smul_measure
@[simp]
theorem hasFiniteIntegral_zero_measure {m : MeasurableSpace α} (f : α → β) :
HasFiniteIntegral f (0 : Measure α) := by
simp only [HasFiniteIntegral, lintegral_zero_measure, zero_lt_top]
#align measure_theory.has_finite_integral_zero_measure MeasureTheory.hasFiniteIntegral_zero_measure
variable (α β μ)
@[simp]
theorem hasFiniteIntegral_zero : HasFiniteIntegral (fun _ : α => (0 : β)) μ := by
simp [HasFiniteIntegral]
#align measure_theory.has_finite_integral_zero MeasureTheory.hasFiniteIntegral_zero
variable {α β μ}
theorem HasFiniteIntegral.neg {f : α → β} (hfi : HasFiniteIntegral f μ) :
HasFiniteIntegral (-f) μ := by simpa [HasFiniteIntegral] using hfi
#align measure_theory.has_finite_integral.neg MeasureTheory.HasFiniteIntegral.neg
@[simp]
theorem hasFiniteIntegral_neg_iff {f : α → β} : HasFiniteIntegral (-f) μ ↔ HasFiniteIntegral f μ :=
⟨fun h => neg_neg f ▸ h.neg, HasFiniteIntegral.neg⟩
#align measure_theory.has_finite_integral_neg_iff MeasureTheory.hasFiniteIntegral_neg_iff
theorem HasFiniteIntegral.norm {f : α → β} (hfi : HasFiniteIntegral f μ) :
HasFiniteIntegral (fun a => ‖f a‖) μ := by
have eq : (fun a => (nnnorm ‖f a‖ : ℝ≥0∞)) = fun a => (‖f a‖₊ : ℝ≥0∞) := by
funext
rw [nnnorm_norm]
rwa [HasFiniteIntegral, eq]
#align measure_theory.has_finite_integral.norm MeasureTheory.HasFiniteIntegral.norm
theorem hasFiniteIntegral_norm_iff (f : α → β) :
HasFiniteIntegral (fun a => ‖f a‖) μ ↔ HasFiniteIntegral f μ :=
hasFiniteIntegral_congr' <| eventually_of_forall fun x => norm_norm (f x)
#align measure_theory.has_finite_integral_norm_iff MeasureTheory.hasFiniteIntegral_norm_iff
theorem hasFiniteIntegral_toReal_of_lintegral_ne_top {f : α → ℝ≥0∞} (hf : (∫⁻ x, f x ∂μ) ≠ ∞) :
HasFiniteIntegral (fun x => (f x).toReal) μ := by
have :
∀ x, (‖(f x).toReal‖₊ : ℝ≥0∞) = ENNReal.ofNNReal ⟨(f x).toReal, ENNReal.toReal_nonneg⟩ := by
intro x
rw [Real.nnnorm_of_nonneg]
simp_rw [HasFiniteIntegral, this]
refine lt_of_le_of_lt (lintegral_mono fun x => ?_) (lt_top_iff_ne_top.2 hf)
by_cases hfx : f x = ∞
· simp [hfx]
· lift f x to ℝ≥0 using hfx with fx h
simp [← h, ← NNReal.coe_le_coe]
#align measure_theory.has_finite_integral_to_real_of_lintegral_ne_top MeasureTheory.hasFiniteIntegral_toReal_of_lintegral_ne_top
theorem isFiniteMeasure_withDensity_ofReal {f : α → ℝ} (hfi : HasFiniteIntegral f μ) :
IsFiniteMeasure (μ.withDensity fun x => ENNReal.ofReal <| f x) := by
refine isFiniteMeasure_withDensity ((lintegral_mono fun x => ?_).trans_lt hfi).ne
exact Real.ofReal_le_ennnorm (f x)
#align measure_theory.is_finite_measure_with_density_of_real MeasureTheory.isFiniteMeasure_withDensity_ofReal
-- variable [MeasurableSpace β] [MeasurableSpace γ] [MeasurableSpace δ]
def Integrable {α} {_ : MeasurableSpace α} (f : α → β) (μ : Measure α := by volume_tac) : Prop :=
AEStronglyMeasurable f μ ∧ HasFiniteIntegral f μ
#align measure_theory.integrable MeasureTheory.Integrable
theorem memℒp_one_iff_integrable {f : α → β} : Memℒp f 1 μ ↔ Integrable f μ := by
simp_rw [Integrable, HasFiniteIntegral, Memℒp, snorm_one_eq_lintegral_nnnorm]
#align measure_theory.mem_ℒp_one_iff_integrable MeasureTheory.memℒp_one_iff_integrable
theorem Integrable.aestronglyMeasurable {f : α → β} (hf : Integrable f μ) :
AEStronglyMeasurable f μ :=
hf.1
#align measure_theory.integrable.ae_strongly_measurable MeasureTheory.Integrable.aestronglyMeasurable
theorem Integrable.aemeasurable [MeasurableSpace β] [BorelSpace β] {f : α → β}
(hf : Integrable f μ) : AEMeasurable f μ :=
hf.aestronglyMeasurable.aemeasurable
#align measure_theory.integrable.ae_measurable MeasureTheory.Integrable.aemeasurable
theorem Integrable.hasFiniteIntegral {f : α → β} (hf : Integrable f μ) : HasFiniteIntegral f μ :=
hf.2
#align measure_theory.integrable.has_finite_integral MeasureTheory.Integrable.hasFiniteIntegral
theorem Integrable.mono {f : α → β} {g : α → γ} (hg : Integrable g μ)
(hf : AEStronglyMeasurable f μ) (h : ∀ᵐ a ∂μ, ‖f a‖ ≤ ‖g a‖) : Integrable f μ :=
⟨hf, hg.hasFiniteIntegral.mono h⟩
#align measure_theory.integrable.mono MeasureTheory.Integrable.mono
theorem Integrable.mono' {f : α → β} {g : α → ℝ} (hg : Integrable g μ)
(hf : AEStronglyMeasurable f μ) (h : ∀ᵐ a ∂μ, ‖f a‖ ≤ g a) : Integrable f μ :=
⟨hf, hg.hasFiniteIntegral.mono' h⟩
#align measure_theory.integrable.mono' MeasureTheory.Integrable.mono'
theorem Integrable.congr' {f : α → β} {g : α → γ} (hf : Integrable f μ)
(hg : AEStronglyMeasurable g μ) (h : ∀ᵐ a ∂μ, ‖f a‖ = ‖g a‖) : Integrable g μ :=
⟨hg, hf.hasFiniteIntegral.congr' h⟩
#align measure_theory.integrable.congr' MeasureTheory.Integrable.congr'
theorem integrable_congr' {f : α → β} {g : α → γ} (hf : AEStronglyMeasurable f μ)
(hg : AEStronglyMeasurable g μ) (h : ∀ᵐ a ∂μ, ‖f a‖ = ‖g a‖) :
Integrable f μ ↔ Integrable g μ :=
⟨fun h2f => h2f.congr' hg h, fun h2g => h2g.congr' hf <| EventuallyEq.symm h⟩
#align measure_theory.integrable_congr' MeasureTheory.integrable_congr'
theorem Integrable.congr {f g : α → β} (hf : Integrable f μ) (h : f =ᵐ[μ] g) : Integrable g μ :=
⟨hf.1.congr h, hf.2.congr h⟩
#align measure_theory.integrable.congr MeasureTheory.Integrable.congr
theorem integrable_congr {f g : α → β} (h : f =ᵐ[μ] g) : Integrable f μ ↔ Integrable g μ :=
⟨fun hf => hf.congr h, fun hg => hg.congr h.symm⟩
#align measure_theory.integrable_congr MeasureTheory.integrable_congr
theorem integrable_const_iff {c : β} : Integrable (fun _ : α => c) μ ↔ c = 0 ∨ μ univ < ∞ := by
have : AEStronglyMeasurable (fun _ : α => c) μ := aestronglyMeasurable_const
rw [Integrable, and_iff_right this, hasFiniteIntegral_const_iff]
#align measure_theory.integrable_const_iff MeasureTheory.integrable_const_iff
@[simp]
theorem integrable_const [IsFiniteMeasure μ] (c : β) : Integrable (fun _ : α => c) μ :=
integrable_const_iff.2 <| Or.inr <| measure_lt_top _ _
#align measure_theory.integrable_const MeasureTheory.integrable_const
@[simp]
theorem Integrable.of_finite [Finite α] [MeasurableSpace α] [MeasurableSingletonClass α]
(μ : Measure α) [IsFiniteMeasure μ] (f : α → β) : Integrable (fun a ↦ f a) μ :=
⟨(StronglyMeasurable.of_finite f).aestronglyMeasurable, .of_finite⟩
@[deprecated (since := "2024-02-05")] alias integrable_of_fintype := Integrable.of_finite
theorem Memℒp.integrable_norm_rpow {f : α → β} {p : ℝ≥0∞} (hf : Memℒp f p μ) (hp_ne_zero : p ≠ 0)
(hp_ne_top : p ≠ ∞) : Integrable (fun x : α => ‖f x‖ ^ p.toReal) μ := by
rw [← memℒp_one_iff_integrable]
exact hf.norm_rpow hp_ne_zero hp_ne_top
#align measure_theory.mem_ℒp.integrable_norm_rpow MeasureTheory.Memℒp.integrable_norm_rpow
theorem Memℒp.integrable_norm_rpow' [IsFiniteMeasure μ] {f : α → β} {p : ℝ≥0∞} (hf : Memℒp f p μ) :
Integrable (fun x : α => ‖f x‖ ^ p.toReal) μ := by
by_cases h_zero : p = 0
· simp [h_zero, integrable_const]
by_cases h_top : p = ∞
· simp [h_top, integrable_const]
exact hf.integrable_norm_rpow h_zero h_top
#align measure_theory.mem_ℒp.integrable_norm_rpow' MeasureTheory.Memℒp.integrable_norm_rpow'
theorem Integrable.mono_measure {f : α → β} (h : Integrable f ν) (hμ : μ ≤ ν) : Integrable f μ :=
⟨h.aestronglyMeasurable.mono_measure hμ, h.hasFiniteIntegral.mono_measure hμ⟩
#align measure_theory.integrable.mono_measure MeasureTheory.Integrable.mono_measure
theorem Integrable.of_measure_le_smul {μ' : Measure α} (c : ℝ≥0∞) (hc : c ≠ ∞) (hμ'_le : μ' ≤ c • μ)
{f : α → β} (hf : Integrable f μ) : Integrable f μ' := by
rw [← memℒp_one_iff_integrable] at hf ⊢
exact hf.of_measure_le_smul c hc hμ'_le
#align measure_theory.integrable.of_measure_le_smul MeasureTheory.Integrable.of_measure_le_smul
theorem Integrable.add_measure {f : α → β} (hμ : Integrable f μ) (hν : Integrable f ν) :
Integrable f (μ + ν) := by
simp_rw [← memℒp_one_iff_integrable] at hμ hν ⊢
refine ⟨hμ.aestronglyMeasurable.add_measure hν.aestronglyMeasurable, ?_⟩
rw [snorm_one_add_measure, ENNReal.add_lt_top]
exact ⟨hμ.snorm_lt_top, hν.snorm_lt_top⟩
#align measure_theory.integrable.add_measure MeasureTheory.Integrable.add_measure
theorem Integrable.left_of_add_measure {f : α → β} (h : Integrable f (μ + ν)) : Integrable f μ := by
rw [← memℒp_one_iff_integrable] at h ⊢
exact h.left_of_add_measure
#align measure_theory.integrable.left_of_add_measure MeasureTheory.Integrable.left_of_add_measure
theorem Integrable.right_of_add_measure {f : α → β} (h : Integrable f (μ + ν)) :
Integrable f ν := by
rw [← memℒp_one_iff_integrable] at h ⊢
exact h.right_of_add_measure
#align measure_theory.integrable.right_of_add_measure MeasureTheory.Integrable.right_of_add_measure
@[simp]
theorem integrable_add_measure {f : α → β} :
Integrable f (μ + ν) ↔ Integrable f μ ∧ Integrable f ν :=
⟨fun h => ⟨h.left_of_add_measure, h.right_of_add_measure⟩, fun h => h.1.add_measure h.2⟩
#align measure_theory.integrable_add_measure MeasureTheory.integrable_add_measure
@[simp]
theorem integrable_zero_measure {_ : MeasurableSpace α} {f : α → β} :
Integrable f (0 : Measure α) :=
⟨aestronglyMeasurable_zero_measure f, hasFiniteIntegral_zero_measure f⟩
#align measure_theory.integrable_zero_measure MeasureTheory.integrable_zero_measure
theorem integrable_finset_sum_measure {ι} {m : MeasurableSpace α} {f : α → β} {μ : ι → Measure α}
{s : Finset ι} : Integrable f (∑ i ∈ s, μ i) ↔ ∀ i ∈ s, Integrable f (μ i) := by
induction s using Finset.induction_on <;> simp [*]
#align measure_theory.integrable_finset_sum_measure MeasureTheory.integrable_finset_sum_measure
theorem Integrable.smul_measure {f : α → β} (h : Integrable f μ) {c : ℝ≥0∞} (hc : c ≠ ∞) :
Integrable f (c • μ) := by
rw [← memℒp_one_iff_integrable] at h ⊢
exact h.smul_measure hc
#align measure_theory.integrable.smul_measure MeasureTheory.Integrable.smul_measure
theorem Integrable.smul_measure_nnreal {f : α → β} (h : Integrable f μ) {c : ℝ≥0} :
Integrable f (c • μ) := by
apply h.smul_measure
simp
theorem integrable_smul_measure {f : α → β} {c : ℝ≥0∞} (h₁ : c ≠ 0) (h₂ : c ≠ ∞) :
Integrable f (c • μ) ↔ Integrable f μ :=
⟨fun h => by
simpa only [smul_smul, ENNReal.inv_mul_cancel h₁ h₂, one_smul] using
h.smul_measure (ENNReal.inv_ne_top.2 h₁),
fun h => h.smul_measure h₂⟩
#align measure_theory.integrable_smul_measure MeasureTheory.integrable_smul_measure
theorem integrable_inv_smul_measure {f : α → β} {c : ℝ≥0∞} (h₁ : c ≠ 0) (h₂ : c ≠ ∞) :
Integrable f (c⁻¹ • μ) ↔ Integrable f μ :=
integrable_smul_measure (by simpa using h₂) (by simpa using h₁)
#align measure_theory.integrable_inv_smul_measure MeasureTheory.integrable_inv_smul_measure
theorem Integrable.to_average {f : α → β} (h : Integrable f μ) : Integrable f ((μ univ)⁻¹ • μ) := by
rcases eq_or_ne μ 0 with (rfl | hne)
· rwa [smul_zero]
· apply h.smul_measure
simpa
#align measure_theory.integrable.to_average MeasureTheory.Integrable.to_average
theorem integrable_average [IsFiniteMeasure μ] {f : α → β} :
Integrable f ((μ univ)⁻¹ • μ) ↔ Integrable f μ :=
(eq_or_ne μ 0).by_cases (fun h => by simp [h]) fun h =>
integrable_smul_measure (ENNReal.inv_ne_zero.2 <| measure_ne_top _ _)
(ENNReal.inv_ne_top.2 <| mt Measure.measure_univ_eq_zero.1 h)
#align measure_theory.integrable_average MeasureTheory.integrable_average
theorem integrable_map_measure {f : α → δ} {g : δ → β}
(hg : AEStronglyMeasurable g (Measure.map f μ)) (hf : AEMeasurable f μ) :
Integrable g (Measure.map f μ) ↔ Integrable (g ∘ f) μ := by
simp_rw [← memℒp_one_iff_integrable]
exact memℒp_map_measure_iff hg hf
#align measure_theory.integrable_map_measure MeasureTheory.integrable_map_measure
theorem Integrable.comp_aemeasurable {f : α → δ} {g : δ → β} (hg : Integrable g (Measure.map f μ))
(hf : AEMeasurable f μ) : Integrable (g ∘ f) μ :=
(integrable_map_measure hg.aestronglyMeasurable hf).mp hg
#align measure_theory.integrable.comp_ae_measurable MeasureTheory.Integrable.comp_aemeasurable
theorem Integrable.comp_measurable {f : α → δ} {g : δ → β} (hg : Integrable g (Measure.map f μ))
(hf : Measurable f) : Integrable (g ∘ f) μ :=
hg.comp_aemeasurable hf.aemeasurable
#align measure_theory.integrable.comp_measurable MeasureTheory.Integrable.comp_measurable
theorem _root_.MeasurableEmbedding.integrable_map_iff {f : α → δ} (hf : MeasurableEmbedding f)
{g : δ → β} : Integrable g (Measure.map f μ) ↔ Integrable (g ∘ f) μ := by
simp_rw [← memℒp_one_iff_integrable]
exact hf.memℒp_map_measure_iff
#align measurable_embedding.integrable_map_iff MeasurableEmbedding.integrable_map_iff
theorem integrable_map_equiv (f : α ≃ᵐ δ) (g : δ → β) :
Integrable g (Measure.map f μ) ↔ Integrable (g ∘ f) μ := by
simp_rw [← memℒp_one_iff_integrable]
exact f.memℒp_map_measure_iff
#align measure_theory.integrable_map_equiv MeasureTheory.integrable_map_equiv
theorem MeasurePreserving.integrable_comp {ν : Measure δ} {g : δ → β} {f : α → δ}
(hf : MeasurePreserving f μ ν) (hg : AEStronglyMeasurable g ν) :
Integrable (g ∘ f) μ ↔ Integrable g ν := by
rw [← hf.map_eq] at hg ⊢
exact (integrable_map_measure hg hf.measurable.aemeasurable).symm
#align measure_theory.measure_preserving.integrable_comp MeasureTheory.MeasurePreserving.integrable_comp
theorem MeasurePreserving.integrable_comp_emb {f : α → δ} {ν} (h₁ : MeasurePreserving f μ ν)
(h₂ : MeasurableEmbedding f) {g : δ → β} : Integrable (g ∘ f) μ ↔ Integrable g ν :=
h₁.map_eq ▸ Iff.symm h₂.integrable_map_iff
#align measure_theory.measure_preserving.integrable_comp_emb MeasureTheory.MeasurePreserving.integrable_comp_emb
theorem lintegral_edist_lt_top {f g : α → β} (hf : Integrable f μ) (hg : Integrable g μ) :
(∫⁻ a, edist (f a) (g a) ∂μ) < ∞ :=
lt_of_le_of_lt (lintegral_edist_triangle hf.aestronglyMeasurable aestronglyMeasurable_zero)
(ENNReal.add_lt_top.2 <| by
simp_rw [Pi.zero_apply, ← hasFiniteIntegral_iff_edist]
exact ⟨hf.hasFiniteIntegral, hg.hasFiniteIntegral⟩)
#align measure_theory.lintegral_edist_lt_top MeasureTheory.lintegral_edist_lt_top
variable (α β μ)
@[simp]
theorem integrable_zero : Integrable (fun _ => (0 : β)) μ := by
simp [Integrable, aestronglyMeasurable_const]
#align measure_theory.integrable_zero MeasureTheory.integrable_zero
variable {α β μ}
theorem Integrable.add' {f g : α → β} (hf : Integrable f μ) (hg : Integrable g μ) :
HasFiniteIntegral (f + g) μ :=
calc
(∫⁻ a, ‖f a + g a‖₊ ∂μ) ≤ ∫⁻ a, ‖f a‖₊ + ‖g a‖₊ ∂μ :=
lintegral_mono fun a => by
-- After leanprover/lean4#2734, we need to do beta reduction before `exact mod_cast`
beta_reduce
exact mod_cast nnnorm_add_le _ _
_ = _ := lintegral_nnnorm_add_left hf.aestronglyMeasurable _
_ < ∞ := add_lt_top.2 ⟨hf.hasFiniteIntegral, hg.hasFiniteIntegral⟩
#align measure_theory.integrable.add' MeasureTheory.Integrable.add'
theorem Integrable.add {f g : α → β} (hf : Integrable f μ) (hg : Integrable g μ) :
Integrable (f + g) μ :=
⟨hf.aestronglyMeasurable.add hg.aestronglyMeasurable, hf.add' hg⟩
#align measure_theory.integrable.add MeasureTheory.Integrable.add
theorem integrable_finset_sum' {ι} (s : Finset ι) {f : ι → α → β}
(hf : ∀ i ∈ s, Integrable (f i) μ) : Integrable (∑ i ∈ s, f i) μ :=
Finset.sum_induction f (fun g => Integrable g μ) (fun _ _ => Integrable.add)
(integrable_zero _ _ _) hf
#align measure_theory.integrable_finset_sum' MeasureTheory.integrable_finset_sum'
theorem integrable_finset_sum {ι} (s : Finset ι) {f : ι → α → β}
(hf : ∀ i ∈ s, Integrable (f i) μ) : Integrable (fun a => ∑ i ∈ s, f i a) μ := by
simpa only [← Finset.sum_apply] using integrable_finset_sum' s hf
#align measure_theory.integrable_finset_sum MeasureTheory.integrable_finset_sum
theorem Integrable.neg {f : α → β} (hf : Integrable f μ) : Integrable (-f) μ :=
⟨hf.aestronglyMeasurable.neg, hf.hasFiniteIntegral.neg⟩
#align measure_theory.integrable.neg MeasureTheory.Integrable.neg
@[simp]
theorem integrable_neg_iff {f : α → β} : Integrable (-f) μ ↔ Integrable f μ :=
⟨fun h => neg_neg f ▸ h.neg, Integrable.neg⟩
#align measure_theory.integrable_neg_iff MeasureTheory.integrable_neg_iff
@[simp]
lemma integrable_add_iff_integrable_right {f g : α → β} (hf : Integrable f μ) :
Integrable (f + g) μ ↔ Integrable g μ :=
⟨fun h ↦ show g = f + g + (-f) by simp only [add_neg_cancel_comm] ▸ h.add hf.neg,
fun h ↦ hf.add h⟩
@[simp]
lemma integrable_add_iff_integrable_left {f g : α → β} (hf : Integrable f μ) :
Integrable (g + f) μ ↔ Integrable g μ := by
rw [add_comm, integrable_add_iff_integrable_right hf]
lemma integrable_left_of_integrable_add_of_nonneg {f g : α → ℝ}
(h_meas : AEStronglyMeasurable f μ) (hf : 0 ≤ᵐ[μ] f) (hg : 0 ≤ᵐ[μ] g)
(h_int : Integrable (f + g) μ) : Integrable f μ := by
refine h_int.mono' h_meas ?_
filter_upwards [hf, hg] with a haf hag
exact (Real.norm_of_nonneg haf).symm ▸ (le_add_iff_nonneg_right _).mpr hag
lemma integrable_right_of_integrable_add_of_nonneg {f g : α → ℝ}
(h_meas : AEStronglyMeasurable f μ) (hf : 0 ≤ᵐ[μ] f) (hg : 0 ≤ᵐ[μ] g)
(h_int : Integrable (f + g) μ) : Integrable g μ :=
integrable_left_of_integrable_add_of_nonneg
((AEStronglyMeasurable.add_iff_right h_meas).mp h_int.aestronglyMeasurable)
hg hf (add_comm f g ▸ h_int)
lemma integrable_add_iff_of_nonneg {f g : α → ℝ} (h_meas : AEStronglyMeasurable f μ)
(hf : 0 ≤ᵐ[μ] f) (hg : 0 ≤ᵐ[μ] g) :
Integrable (f + g) μ ↔ Integrable f μ ∧ Integrable g μ :=
⟨fun h ↦ ⟨integrable_left_of_integrable_add_of_nonneg h_meas hf hg h,
integrable_right_of_integrable_add_of_nonneg h_meas hf hg h⟩, fun ⟨hf, hg⟩ ↦ hf.add hg⟩
lemma integrable_add_iff_of_nonpos {f g : α → ℝ} (h_meas : AEStronglyMeasurable f μ)
(hf : f ≤ᵐ[μ] 0) (hg : g ≤ᵐ[μ] 0) :
Integrable (f + g) μ ↔ Integrable f μ ∧ Integrable g μ := by
rw [← integrable_neg_iff, ← integrable_neg_iff (f := f), ← integrable_neg_iff (f := g), neg_add]
exact integrable_add_iff_of_nonneg h_meas.neg (hf.mono (fun _ ↦ neg_nonneg_of_nonpos))
(hg.mono (fun _ ↦ neg_nonneg_of_nonpos))
@[simp]
lemma integrable_add_const_iff [IsFiniteMeasure μ] {f : α → β} {c : β} :
Integrable (fun x ↦ f x + c) μ ↔ Integrable f μ :=
integrable_add_iff_integrable_left (integrable_const _)
@[simp]
lemma integrable_const_add_iff [IsFiniteMeasure μ] {f : α → β} {c : β} :
Integrable (fun x ↦ c + f x) μ ↔ Integrable f μ :=
integrable_add_iff_integrable_right (integrable_const _)
theorem Integrable.sub {f g : α → β} (hf : Integrable f μ) (hg : Integrable g μ) :
Integrable (f - g) μ := by simpa only [sub_eq_add_neg] using hf.add hg.neg
#align measure_theory.integrable.sub MeasureTheory.Integrable.sub
theorem Integrable.norm {f : α → β} (hf : Integrable f μ) : Integrable (fun a => ‖f a‖) μ :=
⟨hf.aestronglyMeasurable.norm, hf.hasFiniteIntegral.norm⟩
#align measure_theory.integrable.norm MeasureTheory.Integrable.norm
theorem Integrable.inf {β} [NormedLatticeAddCommGroup β] {f g : α → β} (hf : Integrable f μ)
(hg : Integrable g μ) : Integrable (f ⊓ g) μ := by
rw [← memℒp_one_iff_integrable] at hf hg ⊢
exact hf.inf hg
#align measure_theory.integrable.inf MeasureTheory.Integrable.inf
theorem Integrable.sup {β} [NormedLatticeAddCommGroup β] {f g : α → β} (hf : Integrable f μ)
(hg : Integrable g μ) : Integrable (f ⊔ g) μ := by
rw [← memℒp_one_iff_integrable] at hf hg ⊢
exact hf.sup hg
#align measure_theory.integrable.sup MeasureTheory.Integrable.sup
theorem Integrable.abs {β} [NormedLatticeAddCommGroup β] {f : α → β} (hf : Integrable f μ) :
Integrable (fun a => |f a|) μ := by
rw [← memℒp_one_iff_integrable] at hf ⊢
exact hf.abs
#align measure_theory.integrable.abs MeasureTheory.Integrable.abs
theorem Integrable.bdd_mul {F : Type*} [NormedDivisionRing F] {f g : α → F} (hint : Integrable g μ)
(hm : AEStronglyMeasurable f μ) (hfbdd : ∃ C, ∀ x, ‖f x‖ ≤ C) :
Integrable (fun x => f x * g x) μ := by
cases' isEmpty_or_nonempty α with hα hα
· rw [μ.eq_zero_of_isEmpty]
exact integrable_zero_measure
· refine ⟨hm.mul hint.1, ?_⟩
obtain ⟨C, hC⟩ := hfbdd
have hCnonneg : 0 ≤ C := le_trans (norm_nonneg _) (hC hα.some)
have : (fun x => ‖f x * g x‖₊) ≤ fun x => ⟨C, hCnonneg⟩ * ‖g x‖₊ := by
intro x
simp only [nnnorm_mul]
exact mul_le_mul_of_nonneg_right (hC x) (zero_le _)
refine lt_of_le_of_lt (lintegral_mono_nnreal this) ?_
simp only [ENNReal.coe_mul]
rw [lintegral_const_mul' _ _ ENNReal.coe_ne_top]
exact ENNReal.mul_lt_top ENNReal.coe_ne_top (ne_of_lt hint.2)
#align measure_theory.integrable.bdd_mul MeasureTheory.Integrable.bdd_mul
theorem Integrable.essSup_smul {𝕜 : Type*} [NormedField 𝕜] [NormedSpace 𝕜 β] {f : α → β}
(hf : Integrable f μ) {g : α → 𝕜} (g_aestronglyMeasurable : AEStronglyMeasurable g μ)
(ess_sup_g : essSup (fun x => (‖g x‖₊ : ℝ≥0∞)) μ ≠ ∞) :
Integrable (fun x : α => g x • f x) μ := by
rw [← memℒp_one_iff_integrable] at *
refine ⟨g_aestronglyMeasurable.smul hf.1, ?_⟩
have h : (1 : ℝ≥0∞) / 1 = 1 / ∞ + 1 / 1 := by norm_num
have hg' : snorm g ∞ μ ≠ ∞ := by rwa [snorm_exponent_top]
calc
snorm (fun x : α => g x • f x) 1 μ ≤ _ := by
simpa using MeasureTheory.snorm_smul_le_mul_snorm hf.1 g_aestronglyMeasurable h
_ < ∞ := ENNReal.mul_lt_top hg' hf.2.ne
#align measure_theory.integrable.ess_sup_smul MeasureTheory.Integrable.essSup_smul
theorem Integrable.smul_essSup {𝕜 : Type*} [NormedRing 𝕜] [Module 𝕜 β] [BoundedSMul 𝕜 β]
{f : α → 𝕜} (hf : Integrable f μ) {g : α → β}
(g_aestronglyMeasurable : AEStronglyMeasurable g μ)
(ess_sup_g : essSup (fun x => (‖g x‖₊ : ℝ≥0∞)) μ ≠ ∞) :
Integrable (fun x : α => f x • g x) μ := by
rw [← memℒp_one_iff_integrable] at *
refine ⟨hf.1.smul g_aestronglyMeasurable, ?_⟩
have h : (1 : ℝ≥0∞) / 1 = 1 / 1 + 1 / ∞ := by norm_num
have hg' : snorm g ∞ μ ≠ ∞ := by rwa [snorm_exponent_top]
calc
snorm (fun x : α => f x • g x) 1 μ ≤ _ := by
simpa using MeasureTheory.snorm_smul_le_mul_snorm g_aestronglyMeasurable hf.1 h
_ < ∞ := ENNReal.mul_lt_top hf.2.ne hg'
#align measure_theory.integrable.smul_ess_sup MeasureTheory.Integrable.smul_essSup
theorem integrable_norm_iff {f : α → β} (hf : AEStronglyMeasurable f μ) :
Integrable (fun a => ‖f a‖) μ ↔ Integrable f μ := by
simp_rw [Integrable, and_iff_right hf, and_iff_right hf.norm, hasFiniteIntegral_norm_iff]
#align measure_theory.integrable_norm_iff MeasureTheory.integrable_norm_iff
| Mathlib/MeasureTheory/Function/L1Space.lean | 830 | 839 | theorem integrable_of_norm_sub_le {f₀ f₁ : α → β} {g : α → ℝ} (hf₁_m : AEStronglyMeasurable f₁ μ)
(hf₀_i : Integrable f₀ μ) (hg_i : Integrable g μ) (h : ∀ᵐ a ∂μ, ‖f₀ a - f₁ a‖ ≤ g a) :
Integrable f₁ μ :=
haveI : ∀ᵐ a ∂μ, ‖f₁ a‖ ≤ ‖f₀ a‖ + g a := by |
apply h.mono
intro a ha
calc
‖f₁ a‖ ≤ ‖f₀ a‖ + ‖f₀ a - f₁ a‖ := norm_le_insert _ _
_ ≤ ‖f₀ a‖ + g a := add_le_add_left ha _
Integrable.mono' (hf₀_i.norm.add hg_i) hf₁_m this
|
import Mathlib.Init.Core
import Mathlib.RingTheory.Polynomial.Cyclotomic.Roots
import Mathlib.NumberTheory.NumberField.Basic
import Mathlib.FieldTheory.Galois
#align_import number_theory.cyclotomic.basic from "leanprover-community/mathlib"@"4b05d3f4f0601dca8abf99c4ec99187682ed0bba"
open Polynomial Algebra FiniteDimensional Set
universe u v w z
variable (n : ℕ+) (S T : Set ℕ+) (A : Type u) (B : Type v) (K : Type w) (L : Type z)
variable [CommRing A] [CommRing B] [Algebra A B]
variable [Field K] [Field L] [Algebra K L]
noncomputable section
@[mk_iff]
class IsCyclotomicExtension : Prop where
exists_prim_root {n : ℕ+} (ha : n ∈ S) : ∃ r : B, IsPrimitiveRoot r n
adjoin_roots : ∀ x : B, x ∈ adjoin A {b : B | ∃ n : ℕ+, n ∈ S ∧ b ^ (n : ℕ) = 1}
#align is_cyclotomic_extension IsCyclotomicExtension
namespace IsCyclotomicExtension
section Basic
theorem iff_adjoin_eq_top :
IsCyclotomicExtension S A B ↔
(∀ n : ℕ+, n ∈ S → ∃ r : B, IsPrimitiveRoot r n) ∧
adjoin A {b : B | ∃ n : ℕ+, n ∈ S ∧ b ^ (n : ℕ) = 1} = ⊤ :=
⟨fun h => ⟨fun _ => h.exists_prim_root, Algebra.eq_top_iff.2 h.adjoin_roots⟩, fun h =>
⟨h.1 _, Algebra.eq_top_iff.1 h.2⟩⟩
#align is_cyclotomic_extension.iff_adjoin_eq_top IsCyclotomicExtension.iff_adjoin_eq_top
theorem iff_singleton :
IsCyclotomicExtension {n} A B ↔
(∃ r : B, IsPrimitiveRoot r n) ∧ ∀ x, x ∈ adjoin A {b : B | b ^ (n : ℕ) = 1} := by
simp [isCyclotomicExtension_iff]
#align is_cyclotomic_extension.iff_singleton IsCyclotomicExtension.iff_singleton
theorem empty [h : IsCyclotomicExtension ∅ A B] : (⊥ : Subalgebra A B) = ⊤ := by
simpa [Algebra.eq_top_iff, isCyclotomicExtension_iff] using h
#align is_cyclotomic_extension.empty IsCyclotomicExtension.empty
theorem singleton_one [h : IsCyclotomicExtension {1} A B] : (⊥ : Subalgebra A B) = ⊤ :=
Algebra.eq_top_iff.2 fun x => by
simpa [adjoin_singleton_one] using ((isCyclotomicExtension_iff _ _ _).1 h).2 x
#align is_cyclotomic_extension.singleton_one IsCyclotomicExtension.singleton_one
variable {A B}
theorem singleton_zero_of_bot_eq_top (h : (⊥ : Subalgebra A B) = ⊤) :
IsCyclotomicExtension ∅ A B := by
-- Porting note: Lean3 is able to infer `A`.
refine (iff_adjoin_eq_top _ A _).2
⟨fun s hs => by simp at hs, _root_.eq_top_iff.2 fun x hx => ?_⟩
rw [← h] at hx
simpa using hx
#align is_cyclotomic_extension.singleton_zero_of_bot_eq_top IsCyclotomicExtension.singleton_zero_of_bot_eq_top
variable (A B)
theorem trans (C : Type w) [CommRing C] [Algebra A C] [Algebra B C] [IsScalarTower A B C]
[hS : IsCyclotomicExtension S A B] [hT : IsCyclotomicExtension T B C]
(h : Function.Injective (algebraMap B C)) : IsCyclotomicExtension (S ∪ T) A C := by
refine ⟨fun hn => ?_, fun x => ?_⟩
· cases' hn with hn hn
· obtain ⟨b, hb⟩ := ((isCyclotomicExtension_iff _ _ _).1 hS).1 hn
refine ⟨algebraMap B C b, ?_⟩
exact hb.map_of_injective h
· exact ((isCyclotomicExtension_iff _ _ _).1 hT).1 hn
· refine adjoin_induction (((isCyclotomicExtension_iff T B _).1 hT).2 x)
(fun c ⟨n, hn⟩ => subset_adjoin ⟨n, Or.inr hn.1, hn.2⟩) (fun b => ?_)
(fun x y hx hy => Subalgebra.add_mem _ hx hy) fun x y hx hy => Subalgebra.mul_mem _ hx hy
let f := IsScalarTower.toAlgHom A B C
have hb : f b ∈ (adjoin A {b : B | ∃ a : ℕ+, a ∈ S ∧ b ^ (a : ℕ) = 1}).map f :=
⟨b, ((isCyclotomicExtension_iff _ _ _).1 hS).2 b, rfl⟩
rw [IsScalarTower.toAlgHom_apply, ← adjoin_image] at hb
refine adjoin_mono (fun y hy => ?_) hb
obtain ⟨b₁, ⟨⟨n, hn⟩, h₁⟩⟩ := hy
exact ⟨n, ⟨mem_union_left T hn.1, by rw [← h₁, ← AlgHom.map_pow, hn.2, AlgHom.map_one]⟩⟩
#align is_cyclotomic_extension.trans IsCyclotomicExtension.trans
@[nontriviality]
theorem subsingleton_iff [Subsingleton B] : IsCyclotomicExtension S A B ↔ S = { } ∨ S = {1} := by
have : Subsingleton (Subalgebra A B) := inferInstance
constructor
· rintro ⟨hprim, -⟩
rw [← subset_singleton_iff_eq]
intro t ht
obtain ⟨ζ, hζ⟩ := hprim ht
rw [mem_singleton_iff, ← PNat.coe_eq_one_iff]
exact mod_cast hζ.unique (IsPrimitiveRoot.of_subsingleton ζ)
· rintro (rfl | rfl)
-- Porting note: `R := A` was not needed.
· exact ⟨fun h => h.elim, fun x => by convert (mem_top (R := A) : x ∈ ⊤)⟩
· rw [iff_singleton]
exact ⟨⟨0, IsPrimitiveRoot.of_subsingleton 0⟩,
fun x => by convert (mem_top (R := A) : x ∈ ⊤)⟩
#align is_cyclotomic_extension.subsingleton_iff IsCyclotomicExtension.subsingleton_iff
theorem union_right [h : IsCyclotomicExtension (S ∪ T) A B] :
IsCyclotomicExtension T (adjoin A {b : B | ∃ a : ℕ+, a ∈ S ∧ b ^ (a : ℕ) = 1}) B := by
have : {b : B | ∃ n : ℕ+, n ∈ S ∪ T ∧ b ^ (n : ℕ) = 1} =
{b : B | ∃ n : ℕ+, n ∈ S ∧ b ^ (n : ℕ) = 1} ∪
{b : B | ∃ n : ℕ+, n ∈ T ∧ b ^ (n : ℕ) = 1} := by
refine le_antisymm ?_ ?_
· rintro x ⟨n, hn₁ | hn₂, hnpow⟩
· left; exact ⟨n, hn₁, hnpow⟩
· right; exact ⟨n, hn₂, hnpow⟩
· rintro x (⟨n, hn⟩ | ⟨n, hn⟩)
· exact ⟨n, Or.inl hn.1, hn.2⟩
· exact ⟨n, Or.inr hn.1, hn.2⟩
refine ⟨fun hn => ((isCyclotomicExtension_iff _ A _).1 h).1 (mem_union_right S hn), fun b => ?_⟩
replace h := ((isCyclotomicExtension_iff _ _ _).1 h).2 b
rwa [this, adjoin_union_eq_adjoin_adjoin, Subalgebra.mem_restrictScalars] at h
#align is_cyclotomic_extension.union_right IsCyclotomicExtension.union_right
| Mathlib/NumberTheory/Cyclotomic/Basic.lean | 194 | 202 | theorem union_left [h : IsCyclotomicExtension T A B] (hS : S ⊆ T) :
IsCyclotomicExtension S A (adjoin A {b : B | ∃ a : ℕ+, a ∈ S ∧ b ^ (a : ℕ) = 1}) := by |
refine ⟨@fun n hn => ?_, fun b => ?_⟩
· obtain ⟨b, hb⟩ := ((isCyclotomicExtension_iff _ _ _).1 h).1 (hS hn)
refine ⟨⟨b, subset_adjoin ⟨n, hn, hb.pow_eq_one⟩⟩, ?_⟩
rwa [← IsPrimitiveRoot.coe_submonoidClass_iff, Subtype.coe_mk]
· convert mem_top (R := A) (x := b)
rw [← adjoin_adjoin_coe_preimage, preimage_setOf_eq]
norm_cast
|
import Mathlib.Order.Filter.Basic
#align_import order.filter.prod from "leanprover-community/mathlib"@"d6fad0e5bf2d6f48da9175d25c3dc5706b3834ce"
open Set
open Filter
namespace Filter
variable {α β γ δ : Type*} {ι : Sort*}
section Prod
variable {s : Set α} {t : Set β} {f : Filter α} {g : Filter β}
protected def prod (f : Filter α) (g : Filter β) : Filter (α × β) :=
f.comap Prod.fst ⊓ g.comap Prod.snd
#align filter.prod Filter.prod
instance instSProd : SProd (Filter α) (Filter β) (Filter (α × β)) where
sprod := Filter.prod
theorem prod_mem_prod (hs : s ∈ f) (ht : t ∈ g) : s ×ˢ t ∈ f ×ˢ g :=
inter_mem_inf (preimage_mem_comap hs) (preimage_mem_comap ht)
#align filter.prod_mem_prod Filter.prod_mem_prod
theorem mem_prod_iff {s : Set (α × β)} {f : Filter α} {g : Filter β} :
s ∈ f ×ˢ g ↔ ∃ t₁ ∈ f, ∃ t₂ ∈ g, t₁ ×ˢ t₂ ⊆ s := by
simp only [SProd.sprod, Filter.prod]
constructor
· rintro ⟨t₁, ⟨s₁, hs₁, hts₁⟩, t₂, ⟨s₂, hs₂, hts₂⟩, rfl⟩
exact ⟨s₁, hs₁, s₂, hs₂, fun p ⟨h, h'⟩ => ⟨hts₁ h, hts₂ h'⟩⟩
· rintro ⟨t₁, ht₁, t₂, ht₂, h⟩
exact mem_inf_of_inter (preimage_mem_comap ht₁) (preimage_mem_comap ht₂) h
#align filter.mem_prod_iff Filter.mem_prod_iff
@[simp]
theorem prod_mem_prod_iff [f.NeBot] [g.NeBot] : s ×ˢ t ∈ f ×ˢ g ↔ s ∈ f ∧ t ∈ g :=
⟨fun h =>
let ⟨_s', hs', _t', ht', H⟩ := mem_prod_iff.1 h
(prod_subset_prod_iff.1 H).elim
(fun ⟨hs's, ht't⟩ => ⟨mem_of_superset hs' hs's, mem_of_superset ht' ht't⟩) fun h =>
h.elim (fun hs'e => absurd hs'e (nonempty_of_mem hs').ne_empty) fun ht'e =>
absurd ht'e (nonempty_of_mem ht').ne_empty,
fun h => prod_mem_prod h.1 h.2⟩
#align filter.prod_mem_prod_iff Filter.prod_mem_prod_iff
theorem mem_prod_principal {s : Set (α × β)} :
s ∈ f ×ˢ 𝓟 t ↔ { a | ∀ b ∈ t, (a, b) ∈ s } ∈ f := by
rw [← @exists_mem_subset_iff _ f, mem_prod_iff]
refine exists_congr fun u => Iff.rfl.and ⟨?_, fun h => ⟨t, mem_principal_self t, ?_⟩⟩
· rintro ⟨v, v_in, hv⟩ a a_in b b_in
exact hv (mk_mem_prod a_in <| v_in b_in)
· rintro ⟨x, y⟩ ⟨hx, hy⟩
exact h hx y hy
#align filter.mem_prod_principal Filter.mem_prod_principal
theorem mem_prod_top {s : Set (α × β)} :
s ∈ f ×ˢ (⊤ : Filter β) ↔ { a | ∀ b, (a, b) ∈ s } ∈ f := by
rw [← principal_univ, mem_prod_principal]
simp only [mem_univ, forall_true_left]
#align filter.mem_prod_top Filter.mem_prod_top
theorem eventually_prod_principal_iff {p : α × β → Prop} {s : Set β} :
(∀ᶠ x : α × β in f ×ˢ 𝓟 s, p x) ↔ ∀ᶠ x : α in f, ∀ y : β, y ∈ s → p (x, y) := by
rw [eventually_iff, eventually_iff, mem_prod_principal]
simp only [mem_setOf_eq]
#align filter.eventually_prod_principal_iff Filter.eventually_prod_principal_iff
theorem comap_prod (f : α → β × γ) (b : Filter β) (c : Filter γ) :
comap f (b ×ˢ c) = comap (Prod.fst ∘ f) b ⊓ comap (Prod.snd ∘ f) c := by
erw [comap_inf, Filter.comap_comap, Filter.comap_comap]
#align filter.comap_prod Filter.comap_prod
theorem prod_top : f ×ˢ (⊤ : Filter β) = f.comap Prod.fst := by
dsimp only [SProd.sprod]
rw [Filter.prod, comap_top, inf_top_eq]
#align filter.prod_top Filter.prod_top
theorem top_prod : (⊤ : Filter α) ×ˢ g = g.comap Prod.snd := by
dsimp only [SProd.sprod]
rw [Filter.prod, comap_top, top_inf_eq]
theorem sup_prod (f₁ f₂ : Filter α) (g : Filter β) : (f₁ ⊔ f₂) ×ˢ g = (f₁ ×ˢ g) ⊔ (f₂ ×ˢ g) := by
dsimp only [SProd.sprod]
rw [Filter.prod, comap_sup, inf_sup_right, ← Filter.prod, ← Filter.prod]
#align filter.sup_prod Filter.sup_prod
theorem prod_sup (f : Filter α) (g₁ g₂ : Filter β) : f ×ˢ (g₁ ⊔ g₂) = (f ×ˢ g₁) ⊔ (f ×ˢ g₂) := by
dsimp only [SProd.sprod]
rw [Filter.prod, comap_sup, inf_sup_left, ← Filter.prod, ← Filter.prod]
#align filter.prod_sup Filter.prod_sup
theorem eventually_prod_iff {p : α × β → Prop} :
(∀ᶠ x in f ×ˢ g, p x) ↔
∃ pa : α → Prop, (∀ᶠ x in f, pa x) ∧ ∃ pb : β → Prop, (∀ᶠ y in g, pb y) ∧
∀ {x}, pa x → ∀ {y}, pb y → p (x, y) := by
simpa only [Set.prod_subset_iff] using @mem_prod_iff α β p f g
#align filter.eventually_prod_iff Filter.eventually_prod_iff
theorem tendsto_fst : Tendsto Prod.fst (f ×ˢ g) f :=
tendsto_inf_left tendsto_comap
#align filter.tendsto_fst Filter.tendsto_fst
theorem tendsto_snd : Tendsto Prod.snd (f ×ˢ g) g :=
tendsto_inf_right tendsto_comap
#align filter.tendsto_snd Filter.tendsto_snd
theorem Tendsto.fst {h : Filter γ} {m : α → β × γ} (H : Tendsto m f (g ×ˢ h)) :
Tendsto (fun a ↦ (m a).1) f g :=
tendsto_fst.comp H
theorem Tendsto.snd {h : Filter γ} {m : α → β × γ} (H : Tendsto m f (g ×ˢ h)) :
Tendsto (fun a ↦ (m a).2) f h :=
tendsto_snd.comp H
theorem Tendsto.prod_mk {h : Filter γ} {m₁ : α → β} {m₂ : α → γ}
(h₁ : Tendsto m₁ f g) (h₂ : Tendsto m₂ f h) : Tendsto (fun x => (m₁ x, m₂ x)) f (g ×ˢ h) :=
tendsto_inf.2 ⟨tendsto_comap_iff.2 h₁, tendsto_comap_iff.2 h₂⟩
#align filter.tendsto.prod_mk Filter.Tendsto.prod_mk
theorem tendsto_prod_swap : Tendsto (Prod.swap : α × β → β × α) (f ×ˢ g) (g ×ˢ f) :=
tendsto_snd.prod_mk tendsto_fst
#align filter.tendsto_prod_swap Filter.tendsto_prod_swap
theorem Eventually.prod_inl {la : Filter α} {p : α → Prop} (h : ∀ᶠ x in la, p x) (lb : Filter β) :
∀ᶠ x in la ×ˢ lb, p (x : α × β).1 :=
tendsto_fst.eventually h
#align filter.eventually.prod_inl Filter.Eventually.prod_inl
theorem Eventually.prod_inr {lb : Filter β} {p : β → Prop} (h : ∀ᶠ x in lb, p x) (la : Filter α) :
∀ᶠ x in la ×ˢ lb, p (x : α × β).2 :=
tendsto_snd.eventually h
#align filter.eventually.prod_inr Filter.Eventually.prod_inr
theorem Eventually.prod_mk {la : Filter α} {pa : α → Prop} (ha : ∀ᶠ x in la, pa x) {lb : Filter β}
{pb : β → Prop} (hb : ∀ᶠ y in lb, pb y) : ∀ᶠ p in la ×ˢ lb, pa (p : α × β).1 ∧ pb p.2 :=
(ha.prod_inl lb).and (hb.prod_inr la)
#align filter.eventually.prod_mk Filter.Eventually.prod_mk
theorem EventuallyEq.prod_map {δ} {la : Filter α} {fa ga : α → γ} (ha : fa =ᶠ[la] ga)
{lb : Filter β} {fb gb : β → δ} (hb : fb =ᶠ[lb] gb) :
Prod.map fa fb =ᶠ[la ×ˢ lb] Prod.map ga gb :=
(Eventually.prod_mk ha hb).mono fun _ h => Prod.ext h.1 h.2
#align filter.eventually_eq.prod_map Filter.EventuallyEq.prod_map
theorem EventuallyLE.prod_map {δ} [LE γ] [LE δ] {la : Filter α} {fa ga : α → γ} (ha : fa ≤ᶠ[la] ga)
{lb : Filter β} {fb gb : β → δ} (hb : fb ≤ᶠ[lb] gb) :
Prod.map fa fb ≤ᶠ[la ×ˢ lb] Prod.map ga gb :=
Eventually.prod_mk ha hb
#align filter.eventually_le.prod_map Filter.EventuallyLE.prod_map
theorem Eventually.curry {la : Filter α} {lb : Filter β} {p : α × β → Prop}
(h : ∀ᶠ x in la ×ˢ lb, p x) : ∀ᶠ x in la, ∀ᶠ y in lb, p (x, y) := by
rcases eventually_prod_iff.1 h with ⟨pa, ha, pb, hb, h⟩
exact ha.mono fun a ha => hb.mono fun b hb => h ha hb
#align filter.eventually.curry Filter.Eventually.curry
protected lemma Frequently.uncurry {la : Filter α} {lb : Filter β} {p : α → β → Prop}
(h : ∃ᶠ x in la, ∃ᶠ y in lb, p x y) : ∃ᶠ xy in la ×ˢ lb, p xy.1 xy.2 :=
mt (fun h ↦ by simpa only [not_frequently] using h.curry) h
theorem Eventually.diag_of_prod {p : α × α → Prop} (h : ∀ᶠ i in f ×ˢ f, p i) :
∀ᶠ i in f, p (i, i) := by
obtain ⟨t, ht, s, hs, hst⟩ := eventually_prod_iff.1 h
apply (ht.and hs).mono fun x hx => hst hx.1 hx.2
#align filter.eventually.diag_of_prod Filter.Eventually.diag_of_prod
theorem Eventually.diag_of_prod_left {f : Filter α} {g : Filter γ} {p : (α × α) × γ → Prop} :
(∀ᶠ x in (f ×ˢ f) ×ˢ g, p x) → ∀ᶠ x : α × γ in f ×ˢ g, p ((x.1, x.1), x.2) := by
intro h
obtain ⟨t, ht, s, hs, hst⟩ := eventually_prod_iff.1 h
exact (ht.diag_of_prod.prod_mk hs).mono fun x hx => by simp only [hst hx.1 hx.2]
#align filter.eventually.diag_of_prod_left Filter.Eventually.diag_of_prod_left
theorem Eventually.diag_of_prod_right {f : Filter α} {g : Filter γ} {p : α × γ × γ → Prop} :
(∀ᶠ x in f ×ˢ (g ×ˢ g), p x) → ∀ᶠ x : α × γ in f ×ˢ g, p (x.1, x.2, x.2) := by
intro h
obtain ⟨t, ht, s, hs, hst⟩ := eventually_prod_iff.1 h
exact (ht.prod_mk hs.diag_of_prod).mono fun x hx => by simp only [hst hx.1 hx.2]
#align filter.eventually.diag_of_prod_right Filter.Eventually.diag_of_prod_right
theorem tendsto_diag : Tendsto (fun i => (i, i)) f (f ×ˢ f) :=
tendsto_iff_eventually.mpr fun _ hpr => hpr.diag_of_prod
#align filter.tendsto_diag Filter.tendsto_diag
theorem prod_iInf_left [Nonempty ι] {f : ι → Filter α} {g : Filter β} :
(⨅ i, f i) ×ˢ g = ⨅ i, f i ×ˢ g := by
dsimp only [SProd.sprod]
rw [Filter.prod, comap_iInf, iInf_inf]
simp only [Filter.prod, eq_self_iff_true]
#align filter.prod_infi_left Filter.prod_iInf_left
theorem prod_iInf_right [Nonempty ι] {f : Filter α} {g : ι → Filter β} :
(f ×ˢ ⨅ i, g i) = ⨅ i, f ×ˢ g i := by
dsimp only [SProd.sprod]
rw [Filter.prod, comap_iInf, inf_iInf]
simp only [Filter.prod, eq_self_iff_true]
#align filter.prod_infi_right Filter.prod_iInf_right
@[mono, gcongr]
theorem prod_mono {f₁ f₂ : Filter α} {g₁ g₂ : Filter β} (hf : f₁ ≤ f₂) (hg : g₁ ≤ g₂) :
f₁ ×ˢ g₁ ≤ f₂ ×ˢ g₂ :=
inf_le_inf (comap_mono hf) (comap_mono hg)
#align filter.prod_mono Filter.prod_mono
@[gcongr]
theorem prod_mono_left (g : Filter β) {f₁ f₂ : Filter α} (hf : f₁ ≤ f₂) : f₁ ×ˢ g ≤ f₂ ×ˢ g :=
Filter.prod_mono hf rfl.le
#align filter.prod_mono_left Filter.prod_mono_left
@[gcongr]
theorem prod_mono_right (f : Filter α) {g₁ g₂ : Filter β} (hf : g₁ ≤ g₂) : f ×ˢ g₁ ≤ f ×ˢ g₂ :=
Filter.prod_mono rfl.le hf
#align filter.prod_mono_right Filter.prod_mono_right
theorem prod_comap_comap_eq.{u, v, w, x} {α₁ : Type u} {α₂ : Type v} {β₁ : Type w} {β₂ : Type x}
{f₁ : Filter α₁} {f₂ : Filter α₂} {m₁ : β₁ → α₁} {m₂ : β₂ → α₂} :
comap m₁ f₁ ×ˢ comap m₂ f₂ = comap (fun p : β₁ × β₂ => (m₁ p.1, m₂ p.2)) (f₁ ×ˢ f₂) := by
simp only [SProd.sprod, Filter.prod, comap_comap, comap_inf, (· ∘ ·)]
#align filter.prod_comap_comap_eq Filter.prod_comap_comap_eq
theorem prod_comm' : f ×ˢ g = comap Prod.swap (g ×ˢ f) := by
simp only [SProd.sprod, Filter.prod, comap_comap, (· ∘ ·), inf_comm, Prod.swap, comap_inf]
#align filter.prod_comm' Filter.prod_comm'
theorem prod_comm : f ×ˢ g = map (fun p : β × α => (p.2, p.1)) (g ×ˢ f) := by
rw [prod_comm', ← map_swap_eq_comap_swap]
rfl
#align filter.prod_comm Filter.prod_comm
theorem mem_prod_iff_left {s : Set (α × β)} :
s ∈ f ×ˢ g ↔ ∃ t ∈ f, ∀ᶠ y in g, ∀ x ∈ t, (x, y) ∈ s := by
simp only [mem_prod_iff, prod_subset_iff]
refine exists_congr fun _ => Iff.rfl.and <| Iff.trans ?_ exists_mem_subset_iff
exact exists_congr fun _ => Iff.rfl.and forall₂_swap
theorem mem_prod_iff_right {s : Set (α × β)} :
s ∈ f ×ˢ g ↔ ∃ t ∈ g, ∀ᶠ x in f, ∀ y ∈ t, (x, y) ∈ s := by
rw [prod_comm, mem_map, mem_prod_iff_left]; rfl
@[simp]
theorem map_fst_prod (f : Filter α) (g : Filter β) [NeBot g] : map Prod.fst (f ×ˢ g) = f := by
ext s
simp only [mem_map, mem_prod_iff_left, mem_preimage, eventually_const, ← subset_def,
exists_mem_subset_iff]
#align filter.map_fst_prod Filter.map_fst_prod
@[simp]
theorem map_snd_prod (f : Filter α) (g : Filter β) [NeBot f] : map Prod.snd (f ×ˢ g) = g := by
rw [prod_comm, map_map]; apply map_fst_prod
#align filter.map_snd_prod Filter.map_snd_prod
@[simp]
theorem prod_le_prod {f₁ f₂ : Filter α} {g₁ g₂ : Filter β} [NeBot f₁] [NeBot g₁] :
f₁ ×ˢ g₁ ≤ f₂ ×ˢ g₂ ↔ f₁ ≤ f₂ ∧ g₁ ≤ g₂ :=
⟨fun h =>
⟨map_fst_prod f₁ g₁ ▸ tendsto_fst.mono_left h, map_snd_prod f₁ g₁ ▸ tendsto_snd.mono_left h⟩,
fun h => prod_mono h.1 h.2⟩
#align filter.prod_le_prod Filter.prod_le_prod
@[simp]
theorem prod_inj {f₁ f₂ : Filter α} {g₁ g₂ : Filter β} [NeBot f₁] [NeBot g₁] :
f₁ ×ˢ g₁ = f₂ ×ˢ g₂ ↔ f₁ = f₂ ∧ g₁ = g₂ := by
refine ⟨fun h => ?_, fun h => h.1 ▸ h.2 ▸ rfl⟩
have hle : f₁ ≤ f₂ ∧ g₁ ≤ g₂ := prod_le_prod.1 h.le
haveI := neBot_of_le hle.1; haveI := neBot_of_le hle.2
exact ⟨hle.1.antisymm <| (prod_le_prod.1 h.ge).1, hle.2.antisymm <| (prod_le_prod.1 h.ge).2⟩
#align filter.prod_inj Filter.prod_inj
theorem eventually_swap_iff {p : α × β → Prop} :
(∀ᶠ x : α × β in f ×ˢ g, p x) ↔ ∀ᶠ y : β × α in g ×ˢ f, p y.swap := by
rw [prod_comm]; rfl
#align filter.eventually_swap_iff Filter.eventually_swap_iff
theorem prod_assoc (f : Filter α) (g : Filter β) (h : Filter γ) :
map (Equiv.prodAssoc α β γ) ((f ×ˢ g) ×ˢ h) = f ×ˢ (g ×ˢ h) := by
simp_rw [← comap_equiv_symm, SProd.sprod, Filter.prod, comap_inf, comap_comap, inf_assoc, (· ∘ ·),
Equiv.prodAssoc_symm_apply]
#align filter.prod_assoc Filter.prod_assoc
theorem prod_assoc_symm (f : Filter α) (g : Filter β) (h : Filter γ) :
map (Equiv.prodAssoc α β γ).symm (f ×ˢ (g ×ˢ h)) = (f ×ˢ g) ×ˢ h := by
simp_rw [map_equiv_symm, SProd.sprod, Filter.prod, comap_inf, comap_comap, inf_assoc,
Function.comp, Equiv.prodAssoc_apply]
#align filter.prod_assoc_symm Filter.prod_assoc_symm
theorem tendsto_prodAssoc {h : Filter γ} :
Tendsto (Equiv.prodAssoc α β γ) ((f ×ˢ g) ×ˢ h) (f ×ˢ (g ×ˢ h)) :=
(prod_assoc f g h).le
#align filter.tendsto_prod_assoc Filter.tendsto_prodAssoc
theorem tendsto_prodAssoc_symm {h : Filter γ} :
Tendsto (Equiv.prodAssoc α β γ).symm (f ×ˢ (g ×ˢ h)) ((f ×ˢ g) ×ˢ h) :=
(prod_assoc_symm f g h).le
#align filter.tendsto_prod_assoc_symm Filter.tendsto_prodAssoc_symm
theorem map_swap4_prod {h : Filter γ} {k : Filter δ} :
map (fun p : (α × β) × γ × δ => ((p.1.1, p.2.1), (p.1.2, p.2.2))) ((f ×ˢ g) ×ˢ (h ×ˢ k)) =
(f ×ˢ h) ×ˢ (g ×ˢ k) := by
simp_rw [map_swap4_eq_comap, SProd.sprod, Filter.prod, comap_inf, comap_comap]; ac_rfl
#align filter.map_swap4_prod Filter.map_swap4_prod
theorem tendsto_swap4_prod {h : Filter γ} {k : Filter δ} :
Tendsto (fun p : (α × β) × γ × δ => ((p.1.1, p.2.1), (p.1.2, p.2.2))) ((f ×ˢ g) ×ˢ (h ×ˢ k))
((f ×ˢ h) ×ˢ (g ×ˢ k)) :=
map_swap4_prod.le
#align filter.tendsto_swap4_prod Filter.tendsto_swap4_prod
theorem prod_map_map_eq.{u, v, w, x} {α₁ : Type u} {α₂ : Type v} {β₁ : Type w} {β₂ : Type x}
{f₁ : Filter α₁} {f₂ : Filter α₂} {m₁ : α₁ → β₁} {m₂ : α₂ → β₂} :
map m₁ f₁ ×ˢ map m₂ f₂ = map (fun p : α₁ × α₂ => (m₁ p.1, m₂ p.2)) (f₁ ×ˢ f₂) :=
le_antisymm
(fun s hs =>
let ⟨s₁, hs₁, s₂, hs₂, h⟩ := mem_prod_iff.mp hs
mem_of_superset (prod_mem_prod (image_mem_map hs₁) (image_mem_map hs₂)) <|
by rwa [prod_image_image_eq, image_subset_iff])
((tendsto_map.comp tendsto_fst).prod_mk (tendsto_map.comp tendsto_snd))
#align filter.prod_map_map_eq Filter.prod_map_map_eq
theorem prod_map_map_eq' {α₁ : Type*} {α₂ : Type*} {β₁ : Type*} {β₂ : Type*} (f : α₁ → α₂)
(g : β₁ → β₂) (F : Filter α₁) (G : Filter β₁) :
map f F ×ˢ map g G = map (Prod.map f g) (F ×ˢ G) :=
prod_map_map_eq
#align filter.prod_map_map_eq' Filter.prod_map_map_eq'
theorem prod_map_left (f : α → β) (F : Filter α) (G : Filter γ) :
map f F ×ˢ G = map (Prod.map f id) (F ×ˢ G) := by
rw [← prod_map_map_eq', map_id]
theorem prod_map_right (f : β → γ) (F : Filter α) (G : Filter β) :
F ×ˢ map f G = map (Prod.map id f) (F ×ˢ G) := by
rw [← prod_map_map_eq', map_id]
theorem le_prod_map_fst_snd {f : Filter (α × β)} : f ≤ map Prod.fst f ×ˢ map Prod.snd f :=
le_inf le_comap_map le_comap_map
#align filter.le_prod_map_fst_snd Filter.le_prod_map_fst_snd
| Mathlib/Order/Filter/Prod.lean | 385 | 389 | theorem Tendsto.prod_map {δ : Type*} {f : α → γ} {g : β → δ} {a : Filter α} {b : Filter β}
{c : Filter γ} {d : Filter δ} (hf : Tendsto f a c) (hg : Tendsto g b d) :
Tendsto (Prod.map f g) (a ×ˢ b) (c ×ˢ d) := by |
erw [Tendsto, ← prod_map_map_eq]
exact Filter.prod_mono hf hg
|
import Mathlib.Algebra.GroupPower.IterateHom
import Mathlib.Algebra.Polynomial.Eval
import Mathlib.GroupTheory.GroupAction.Ring
#align_import data.polynomial.derivative from "leanprover-community/mathlib"@"bbeb185db4ccee8ed07dc48449414ebfa39cb821"
noncomputable section
open Finset
open Polynomial
namespace Polynomial
universe u v w y z
variable {R : Type u} {S : Type v} {T : Type w} {ι : Type y} {A : Type z} {a b : R} {n : ℕ}
section Derivative
section Semiring
variable [Semiring R]
def derivative : R[X] →ₗ[R] R[X] where
toFun p := p.sum fun n a => C (a * n) * X ^ (n - 1)
map_add' p q := by
dsimp only
rw [sum_add_index] <;>
simp only [add_mul, forall_const, RingHom.map_add, eq_self_iff_true, zero_mul,
RingHom.map_zero]
map_smul' a p := by
dsimp; rw [sum_smul_index] <;>
simp only [mul_sum, ← C_mul', mul_assoc, coeff_C_mul, RingHom.map_mul, forall_const, zero_mul,
RingHom.map_zero, sum]
#align polynomial.derivative Polynomial.derivative
theorem derivative_apply (p : R[X]) : derivative p = p.sum fun n a => C (a * n) * X ^ (n - 1) :=
rfl
#align polynomial.derivative_apply Polynomial.derivative_apply
theorem coeff_derivative (p : R[X]) (n : ℕ) :
coeff (derivative p) n = coeff p (n + 1) * (n + 1) := by
rw [derivative_apply]
simp only [coeff_X_pow, coeff_sum, coeff_C_mul]
rw [sum, Finset.sum_eq_single (n + 1)]
· simp only [Nat.add_succ_sub_one, add_zero, mul_one, if_true, eq_self_iff_true]; norm_cast
· intro b
cases b
· intros
rw [Nat.cast_zero, mul_zero, zero_mul]
· intro _ H
rw [Nat.add_one_sub_one, if_neg (mt (congr_arg Nat.succ) H.symm), mul_zero]
· rw [if_pos (add_tsub_cancel_right n 1).symm, mul_one, Nat.cast_add, Nat.cast_one,
mem_support_iff]
intro h
push_neg at h
simp [h]
#align polynomial.coeff_derivative Polynomial.coeff_derivative
-- Porting note (#10618): removed `simp`: `simp` can prove it.
theorem derivative_zero : derivative (0 : R[X]) = 0 :=
derivative.map_zero
#align polynomial.derivative_zero Polynomial.derivative_zero
theorem iterate_derivative_zero {k : ℕ} : derivative^[k] (0 : R[X]) = 0 :=
iterate_map_zero derivative k
#align polynomial.iterate_derivative_zero Polynomial.iterate_derivative_zero
@[simp]
theorem derivative_monomial (a : R) (n : ℕ) :
derivative (monomial n a) = monomial (n - 1) (a * n) := by
rw [derivative_apply, sum_monomial_index, C_mul_X_pow_eq_monomial]
simp
#align polynomial.derivative_monomial Polynomial.derivative_monomial
theorem derivative_C_mul_X (a : R) : derivative (C a * X) = C a := by
simp [C_mul_X_eq_monomial, derivative_monomial, Nat.cast_one, mul_one]
set_option linter.uppercaseLean3 false in
#align polynomial.derivative_C_mul_X Polynomial.derivative_C_mul_X
theorem derivative_C_mul_X_pow (a : R) (n : ℕ) :
derivative (C a * X ^ n) = C (a * n) * X ^ (n - 1) := by
rw [C_mul_X_pow_eq_monomial, C_mul_X_pow_eq_monomial, derivative_monomial]
set_option linter.uppercaseLean3 false in
#align polynomial.derivative_C_mul_X_pow Polynomial.derivative_C_mul_X_pow
theorem derivative_C_mul_X_sq (a : R) : derivative (C a * X ^ 2) = C (a * 2) * X := by
rw [derivative_C_mul_X_pow, Nat.cast_two, pow_one]
set_option linter.uppercaseLean3 false in
#align polynomial.derivative_C_mul_X_sq Polynomial.derivative_C_mul_X_sq
@[simp]
theorem derivative_X_pow (n : ℕ) : derivative (X ^ n : R[X]) = C (n : R) * X ^ (n - 1) := by
convert derivative_C_mul_X_pow (1 : R) n <;> simp
set_option linter.uppercaseLean3 false in
#align polynomial.derivative_X_pow Polynomial.derivative_X_pow
-- Porting note (#10618): removed `simp`: `simp` can prove it.
theorem derivative_X_sq : derivative (X ^ 2 : R[X]) = C 2 * X := by
rw [derivative_X_pow, Nat.cast_two, pow_one]
set_option linter.uppercaseLean3 false in
#align polynomial.derivative_X_sq Polynomial.derivative_X_sq
@[simp]
theorem derivative_C {a : R} : derivative (C a) = 0 := by simp [derivative_apply]
set_option linter.uppercaseLean3 false in
#align polynomial.derivative_C Polynomial.derivative_C
theorem derivative_of_natDegree_zero {p : R[X]} (hp : p.natDegree = 0) : derivative p = 0 := by
rw [eq_C_of_natDegree_eq_zero hp, derivative_C]
#align polynomial.derivative_of_nat_degree_zero Polynomial.derivative_of_natDegree_zero
@[simp]
theorem derivative_X : derivative (X : R[X]) = 1 :=
(derivative_monomial _ _).trans <| by simp
set_option linter.uppercaseLean3 false in
#align polynomial.derivative_X Polynomial.derivative_X
@[simp]
theorem derivative_one : derivative (1 : R[X]) = 0 :=
derivative_C
#align polynomial.derivative_one Polynomial.derivative_one
#noalign polynomial.derivative_bit0
#noalign polynomial.derivative_bit1
-- Porting note (#10618): removed `simp`: `simp` can prove it.
theorem derivative_add {f g : R[X]} : derivative (f + g) = derivative f + derivative g :=
derivative.map_add f g
#align polynomial.derivative_add Polynomial.derivative_add
-- Porting note (#10618): removed `simp`: `simp` can prove it.
theorem derivative_X_add_C (c : R) : derivative (X + C c) = 1 := by
rw [derivative_add, derivative_X, derivative_C, add_zero]
set_option linter.uppercaseLean3 false in
#align polynomial.derivative_X_add_C Polynomial.derivative_X_add_C
-- Porting note (#10618): removed `simp`: `simp` can prove it.
theorem derivative_sum {s : Finset ι} {f : ι → R[X]} :
derivative (∑ b ∈ s, f b) = ∑ b ∈ s, derivative (f b) :=
map_sum ..
#align polynomial.derivative_sum Polynomial.derivative_sum
-- Porting note (#10618): removed `simp`: `simp` can prove it.
theorem derivative_smul {S : Type*} [Monoid S] [DistribMulAction S R] [IsScalarTower S R R] (s : S)
(p : R[X]) : derivative (s • p) = s • derivative p :=
derivative.map_smul_of_tower s p
#align polynomial.derivative_smul Polynomial.derivative_smul
@[simp]
theorem iterate_derivative_smul {S : Type*} [Monoid S] [DistribMulAction S R] [IsScalarTower S R R]
(s : S) (p : R[X]) (k : ℕ) : derivative^[k] (s • p) = s • derivative^[k] p := by
induction' k with k ih generalizing p
· simp
· simp [ih]
#align polynomial.iterate_derivative_smul Polynomial.iterate_derivative_smul
@[simp]
theorem iterate_derivative_C_mul (a : R) (p : R[X]) (k : ℕ) :
derivative^[k] (C a * p) = C a * derivative^[k] p := by
simp_rw [← smul_eq_C_mul, iterate_derivative_smul]
set_option linter.uppercaseLean3 false in
#align polynomial.iterate_derivative_C_mul Polynomial.iterate_derivative_C_mul
theorem of_mem_support_derivative {p : R[X]} {n : ℕ} (h : n ∈ p.derivative.support) :
n + 1 ∈ p.support :=
mem_support_iff.2 fun h1 : p.coeff (n + 1) = 0 =>
mem_support_iff.1 h <| show p.derivative.coeff n = 0 by rw [coeff_derivative, h1, zero_mul]
#align polynomial.of_mem_support_derivative Polynomial.of_mem_support_derivative
theorem degree_derivative_lt {p : R[X]} (hp : p ≠ 0) : p.derivative.degree < p.degree :=
(Finset.sup_lt_iff <| bot_lt_iff_ne_bot.2 <| mt degree_eq_bot.1 hp).2 fun n hp =>
lt_of_lt_of_le (WithBot.coe_lt_coe.2 n.lt_succ_self) <|
Finset.le_sup <| of_mem_support_derivative hp
#align polynomial.degree_derivative_lt Polynomial.degree_derivative_lt
theorem degree_derivative_le {p : R[X]} : p.derivative.degree ≤ p.degree :=
letI := Classical.decEq R
if H : p = 0 then le_of_eq <| by rw [H, derivative_zero] else (degree_derivative_lt H).le
#align polynomial.degree_derivative_le Polynomial.degree_derivative_le
theorem natDegree_derivative_lt {p : R[X]} (hp : p.natDegree ≠ 0) :
p.derivative.natDegree < p.natDegree := by
rcases eq_or_ne (derivative p) 0 with hp' | hp'
· rw [hp', Polynomial.natDegree_zero]
exact hp.bot_lt
· rw [natDegree_lt_natDegree_iff hp']
exact degree_derivative_lt fun h => hp (h.symm ▸ natDegree_zero)
#align polynomial.nat_degree_derivative_lt Polynomial.natDegree_derivative_lt
theorem natDegree_derivative_le (p : R[X]) : p.derivative.natDegree ≤ p.natDegree - 1 := by
by_cases p0 : p.natDegree = 0
· simp [p0, derivative_of_natDegree_zero]
· exact Nat.le_sub_one_of_lt (natDegree_derivative_lt p0)
#align polynomial.nat_degree_derivative_le Polynomial.natDegree_derivative_le
theorem natDegree_iterate_derivative (p : R[X]) (k : ℕ) :
(derivative^[k] p).natDegree ≤ p.natDegree - k := by
induction k with
| zero => rw [Function.iterate_zero_apply, Nat.sub_zero]
| succ d hd =>
rw [Function.iterate_succ_apply', Nat.sub_succ']
exact (natDegree_derivative_le _).trans <| Nat.sub_le_sub_right hd 1
@[simp]
| Mathlib/Algebra/Polynomial/Derivative.lean | 222 | 224 | theorem derivative_natCast {n : ℕ} : derivative (n : R[X]) = 0 := by |
rw [← map_natCast C n]
exact derivative_C
|
import Mathlib.LinearAlgebra.FreeModule.PID
import Mathlib.MeasureTheory.Group.FundamentalDomain
import Mathlib.MeasureTheory.Measure.Lebesgue.EqHaar
import Mathlib.RingTheory.Localization.Module
#align_import algebra.module.zlattice from "leanprover-community/mathlib"@"a3e83f0fa4391c8740f7d773a7a9b74e311ae2a3"
noncomputable section
namespace Zspan
open MeasureTheory MeasurableSet Submodule Bornology
variable {E ι : Type*}
section NormedLatticeField
variable {K : Type*} [NormedLinearOrderedField K]
variable [NormedAddCommGroup E] [NormedSpace K E]
variable (b : Basis ι K E)
theorem span_top : span K (span ℤ (Set.range b) : Set E) = ⊤ := by simp [span_span_of_tower]
def fundamentalDomain : Set E := {m | ∀ i, b.repr m i ∈ Set.Ico (0 : K) 1}
#align zspan.fundamental_domain Zspan.fundamentalDomain
@[simp]
theorem mem_fundamentalDomain {m : E} :
m ∈ fundamentalDomain b ↔ ∀ i, b.repr m i ∈ Set.Ico (0 : K) 1 := Iff.rfl
#align zspan.mem_fundamental_domain Zspan.mem_fundamentalDomain
theorem map_fundamentalDomain {F : Type*} [NormedAddCommGroup F] [NormedSpace K F] (f : E ≃ₗ[K] F) :
f '' (fundamentalDomain b) = fundamentalDomain (b.map f) := by
ext x
rw [mem_fundamentalDomain, Basis.map_repr, LinearEquiv.trans_apply, ← mem_fundamentalDomain,
show f.symm x = f.toEquiv.symm x by rfl, ← Set.mem_image_equiv]
rfl
@[simp]
theorem fundamentalDomain_reindex {ι' : Type*} (e : ι ≃ ι') :
fundamentalDomain (b.reindex e) = fundamentalDomain b := by
ext
simp_rw [mem_fundamentalDomain, Basis.repr_reindex_apply]
rw [Equiv.forall_congr' e]
simp_rw [implies_true]
lemma fundamentalDomain_pi_basisFun [Fintype ι] :
fundamentalDomain (Pi.basisFun ℝ ι) = Set.pi Set.univ fun _ : ι ↦ Set.Ico (0 : ℝ) 1 := by
ext; simp
variable [FloorRing K]
section Fintype
variable [Fintype ι]
def floor (m : E) : span ℤ (Set.range b) := ∑ i, ⌊b.repr m i⌋ • b.restrictScalars ℤ i
#align zspan.floor Zspan.floor
def ceil (m : E) : span ℤ (Set.range b) := ∑ i, ⌈b.repr m i⌉ • b.restrictScalars ℤ i
#align zspan.ceil Zspan.ceil
@[simp]
theorem repr_floor_apply (m : E) (i : ι) : b.repr (floor b m) i = ⌊b.repr m i⌋ := by
classical simp only [floor, zsmul_eq_smul_cast K, b.repr.map_smul, Finsupp.single_apply,
Finset.sum_apply', Basis.repr_self, Finsupp.smul_single', mul_one, Finset.sum_ite_eq', coe_sum,
Finset.mem_univ, if_true, coe_smul_of_tower, Basis.restrictScalars_apply, map_sum]
#align zspan.repr_floor_apply Zspan.repr_floor_apply
@[simp]
theorem repr_ceil_apply (m : E) (i : ι) : b.repr (ceil b m) i = ⌈b.repr m i⌉ := by
classical simp only [ceil, zsmul_eq_smul_cast K, b.repr.map_smul, Finsupp.single_apply,
Finset.sum_apply', Basis.repr_self, Finsupp.smul_single', mul_one, Finset.sum_ite_eq', coe_sum,
Finset.mem_univ, if_true, coe_smul_of_tower, Basis.restrictScalars_apply, map_sum]
#align zspan.repr_ceil_apply Zspan.repr_ceil_apply
@[simp]
theorem floor_eq_self_of_mem (m : E) (h : m ∈ span ℤ (Set.range b)) : (floor b m : E) = m := by
apply b.ext_elem
simp_rw [repr_floor_apply b]
intro i
obtain ⟨z, hz⟩ := (b.mem_span_iff_repr_mem ℤ _).mp h i
rw [← hz]
exact congr_arg (Int.cast : ℤ → K) (Int.floor_intCast z)
#align zspan.floor_eq_self_of_mem Zspan.floor_eq_self_of_mem
@[simp]
theorem ceil_eq_self_of_mem (m : E) (h : m ∈ span ℤ (Set.range b)) : (ceil b m : E) = m := by
apply b.ext_elem
simp_rw [repr_ceil_apply b]
intro i
obtain ⟨z, hz⟩ := (b.mem_span_iff_repr_mem ℤ _).mp h i
rw [← hz]
exact congr_arg (Int.cast : ℤ → K) (Int.ceil_intCast z)
#align zspan.ceil_eq_self_of_mem Zspan.ceil_eq_self_of_mem
def fract (m : E) : E := m - floor b m
#align zspan.fract Zspan.fract
theorem fract_apply (m : E) : fract b m = m - floor b m := rfl
#align zspan.fract_apply Zspan.fract_apply
@[simp]
theorem repr_fract_apply (m : E) (i : ι) : b.repr (fract b m) i = Int.fract (b.repr m i) := by
rw [fract, map_sub, Finsupp.coe_sub, Pi.sub_apply, repr_floor_apply, Int.fract]
#align zspan.repr_fract_apply Zspan.repr_fract_apply
@[simp]
theorem fract_fract (m : E) : fract b (fract b m) = fract b m :=
Basis.ext_elem b fun _ => by classical simp only [repr_fract_apply, Int.fract_fract]
#align zspan.fract_fract Zspan.fract_fract
@[simp]
theorem fract_zspan_add (m : E) {v : E} (h : v ∈ span ℤ (Set.range b)) :
fract b (v + m) = fract b m := by
classical
refine (Basis.ext_elem_iff b).mpr fun i => ?_
simp_rw [repr_fract_apply, Int.fract_eq_fract]
use (b.restrictScalars ℤ).repr ⟨v, h⟩ i
rw [map_add, Finsupp.coe_add, Pi.add_apply, add_tsub_cancel_right,
← eq_intCast (algebraMap ℤ K) _, Basis.restrictScalars_repr_apply, coe_mk]
#align zspan.fract_zspan_add Zspan.fract_zspan_add
@[simp]
theorem fract_add_zspan (m : E) {v : E} (h : v ∈ span ℤ (Set.range b)) :
fract b (m + v) = fract b m := by rw [add_comm, fract_zspan_add b m h]
#align zspan.fract_add_zspan Zspan.fract_add_zspan
variable {b}
theorem fract_eq_self {x : E} : fract b x = x ↔ x ∈ fundamentalDomain b := by
classical simp only [Basis.ext_elem_iff b, repr_fract_apply, Int.fract_eq_self,
mem_fundamentalDomain, Set.mem_Ico]
#align zspan.fract_eq_self Zspan.fract_eq_self
variable (b)
theorem fract_mem_fundamentalDomain (x : E) : fract b x ∈ fundamentalDomain b :=
fract_eq_self.mp (fract_fract b _)
#align zspan.fract_mem_fundamental_domain Zspan.fract_mem_fundamentalDomain
def fractRestrict (x : E) : fundamentalDomain b := ⟨fract b x, fract_mem_fundamentalDomain b x⟩
theorem fractRestrict_surjective : Function.Surjective (fractRestrict b) :=
fun x => ⟨↑x, Subtype.eq (fract_eq_self.mpr (Subtype.mem x))⟩
@[simp]
theorem fractRestrict_apply (x : E) : (fractRestrict b x : E) = fract b x := rfl
theorem fract_eq_fract (m n : E) : fract b m = fract b n ↔ -m + n ∈ span ℤ (Set.range b) := by
classical
rw [eq_comm, Basis.ext_elem_iff b]
simp_rw [repr_fract_apply, Int.fract_eq_fract, eq_comm, Basis.mem_span_iff_repr_mem,
sub_eq_neg_add, map_add, map_neg, Finsupp.coe_add, Finsupp.coe_neg, Pi.add_apply,
Pi.neg_apply, ← eq_intCast (algebraMap ℤ K) _, Set.mem_range]
#align zspan.fract_eq_fract Zspan.fract_eq_fract
theorem norm_fract_le [HasSolidNorm K] (m : E) : ‖fract b m‖ ≤ ∑ i, ‖b i‖ := by
classical
calc
‖fract b m‖ = ‖∑ i, b.repr (fract b m) i • b i‖ := by rw [b.sum_repr]
_ = ‖∑ i, Int.fract (b.repr m i) • b i‖ := by simp_rw [repr_fract_apply]
_ ≤ ∑ i, ‖Int.fract (b.repr m i) • b i‖ := norm_sum_le _ _
_ = ∑ i, ‖Int.fract (b.repr m i)‖ * ‖b i‖ := by simp_rw [norm_smul]
_ ≤ ∑ i, ‖b i‖ := Finset.sum_le_sum fun i _ => ?_
suffices ‖Int.fract ((b.repr m) i)‖ ≤ 1 by
convert mul_le_mul_of_nonneg_right this (norm_nonneg _ : 0 ≤ ‖b i‖)
exact (one_mul _).symm
rw [(norm_one.symm : 1 = ‖(1 : K)‖)]
apply norm_le_norm_of_abs_le_abs
rw [abs_one, Int.abs_fract]
exact le_of_lt (Int.fract_lt_one _)
#align zspan.norm_fract_le Zspan.norm_fract_le
section Real
theorem discreteTopology_pi_basisFun [Finite ι] :
DiscreteTopology (span ℤ (Set.range (Pi.basisFun ℝ ι))) := by
cases nonempty_fintype ι
refine discreteTopology_iff_isOpen_singleton_zero.mpr ⟨Metric.ball 0 1, Metric.isOpen_ball, ?_⟩
ext x
rw [Set.mem_preimage, mem_ball_zero_iff, pi_norm_lt_iff zero_lt_one, Set.mem_singleton_iff]
simp_rw [← coe_eq_zero, Function.funext_iff, Pi.zero_apply, Real.norm_eq_abs]
refine forall_congr' (fun i => ?_)
rsuffices ⟨y, hy⟩ : ∃ (y : ℤ), (y : ℝ) = (x : ι → ℝ) i
· rw [← hy, ← Int.cast_abs, ← Int.cast_one, Int.cast_lt, Int.abs_lt_one_iff, Int.cast_eq_zero]
exact ((Pi.basisFun ℝ ι).mem_span_iff_repr_mem ℤ x).mp (SetLike.coe_mem x) i
variable [NormedAddCommGroup E] [NormedSpace ℝ E] (b : Basis ι ℝ E)
theorem fundamentalDomain_subset_parallelepiped [Fintype ι] :
fundamentalDomain b ⊆ parallelepiped b := by
rw [fundamentalDomain, parallelepiped_basis_eq, Set.setOf_subset_setOf]
exact fun _ h i ↦ Set.Ico_subset_Icc_self (h i)
instance [Finite ι] : DiscreteTopology (span ℤ (Set.range b)) := by
have h : Set.MapsTo b.equivFun (span ℤ (Set.range b)) (span ℤ (Set.range (Pi.basisFun ℝ ι))) := by
intro _ hx
rwa [SetLike.mem_coe, Basis.mem_span_iff_repr_mem] at hx ⊢
convert DiscreteTopology.of_continuous_injective ((continuous_equivFun_basis b).restrict h) ?_
· exact discreteTopology_pi_basisFun
· refine Subtype.map_injective _ (Basis.equivFun b).injective
instance [Finite ι] : DiscreteTopology (span ℤ (Set.range b)).toAddSubgroup :=
inferInstanceAs <| DiscreteTopology (span ℤ (Set.range b))
@[measurability]
| Mathlib/Algebra/Module/Zlattice/Basic.lean | 320 | 330 | theorem fundamentalDomain_measurableSet [MeasurableSpace E] [OpensMeasurableSpace E] [Finite ι] :
MeasurableSet (fundamentalDomain b) := by |
cases nonempty_fintype ι
haveI : FiniteDimensional ℝ E := FiniteDimensional.of_fintype_basis b
let D : Set (ι → ℝ) := Set.pi Set.univ fun _ : ι => Set.Ico (0 : ℝ) 1
rw [(_ : fundamentalDomain b = b.equivFun.toLinearMap ⁻¹' D)]
· refine measurableSet_preimage (LinearMap.continuous_of_finiteDimensional _).measurable ?_
exact MeasurableSet.pi Set.countable_univ fun _ _ => measurableSet_Ico
· ext
simp only [D, fundamentalDomain, Set.mem_Ico, Set.mem_setOf_eq, LinearEquiv.coe_coe,
Set.mem_preimage, Basis.equivFun_apply, Set.mem_pi, Set.mem_univ, forall_true_left]
|
import Mathlib.RingTheory.Noetherian
import Mathlib.Algebra.DirectSum.Module
import Mathlib.Algebra.DirectSum.Finsupp
import Mathlib.Algebra.Module.Projective
import Mathlib.Algebra.Module.Injective
import Mathlib.Algebra.Module.CharacterModule
import Mathlib.LinearAlgebra.DirectSum.TensorProduct
import Mathlib.LinearAlgebra.FreeModule.Basic
import Mathlib.Algebra.Module.Projective
#align_import ring_theory.flat from "leanprover-community/mathlib"@"62c0a4ef1441edb463095ea02a06e87f3dfe135c"
universe u v w
namespace Module
open Function (Surjective)
open LinearMap Submodule TensorProduct DirectSum
variable (R : Type u) (M : Type v) [CommRing R] [AddCommGroup M] [Module R M]
@[mk_iff] class Flat : Prop where
out : ∀ ⦃I : Ideal R⦄ (_ : I.FG),
Function.Injective (TensorProduct.lift ((lsmul R M).comp I.subtype))
#align module.flat Module.Flat
namespace Flat
instance self (R : Type u) [CommRing R] : Flat R R :=
⟨by
intro I _
rw [← Equiv.injective_comp (TensorProduct.rid R I).symm.toEquiv]
convert Subtype.coe_injective using 1
ext x
simp only [Function.comp_apply, LinearEquiv.coe_toEquiv, rid_symm_apply, comp_apply, mul_one,
lift.tmul, Submodule.subtype_apply, Algebra.id.smul_eq_mul, lsmul_apply]⟩
#align module.flat.self Module.Flat.self
lemma iff_rTensor_injective :
Flat R M ↔ ∀ ⦃I : Ideal R⦄ (_ : I.FG), Function.Injective (rTensor M I.subtype) := by
simp [flat_iff, ← lid_comp_rTensor]
theorem iff_rTensor_injective' :
Flat R M ↔ ∀ I : Ideal R, Function.Injective (rTensor M I.subtype) := by
rewrite [Flat.iff_rTensor_injective]
refine ⟨fun h I => ?_, fun h I _ => h I⟩
rewrite [injective_iff_map_eq_zero]
intro x hx₀
obtain ⟨J, hfg, hle, y, rfl⟩ := Submodule.exists_fg_le_eq_rTensor_inclusion x
rewrite [← rTensor_comp_apply] at hx₀
rw [(injective_iff_map_eq_zero _).mp (h hfg) y hx₀, LinearMap.map_zero]
@[deprecated (since := "2024-03-29")]
alias lTensor_inj_iff_rTensor_inj := LinearMap.lTensor_inj_iff_rTensor_inj
theorem iff_lTensor_injective :
Module.Flat R M ↔ ∀ ⦃I : Ideal R⦄ (_ : I.FG), Function.Injective (lTensor M I.subtype) := by
simpa [← comm_comp_rTensor_comp_comm_eq] using Module.Flat.iff_rTensor_injective R M
theorem iff_lTensor_injective' :
Module.Flat R M ↔ ∀ (I : Ideal R), Function.Injective (lTensor M I.subtype) := by
simpa [← comm_comp_rTensor_comp_comm_eq] using Module.Flat.iff_rTensor_injective' R M
variable (N : Type w) [AddCommGroup N] [Module R N]
lemma of_retract [f : Flat R M] (i : N →ₗ[R] M) (r : M →ₗ[R] N) (h : r.comp i = LinearMap.id) :
Flat R N := by
rw [iff_rTensor_injective] at *
intro I hI
have h₁ : Function.Injective (lTensor R i) := by
apply Function.RightInverse.injective (g := (lTensor R r))
intro x
rw [← LinearMap.comp_apply, ← lTensor_comp, h]
simp
rw [← Function.Injective.of_comp_iff h₁ (rTensor N I.subtype), ← LinearMap.coe_comp]
rw [LinearMap.lTensor_comp_rTensor, ← LinearMap.rTensor_comp_lTensor]
rw [LinearMap.coe_comp, Function.Injective.of_comp_iff (f hI)]
apply Function.RightInverse.injective (g := lTensor _ r)
intro x
rw [← LinearMap.comp_apply, ← lTensor_comp, h]
simp
lemma of_linearEquiv [f : Flat R M] (e : N ≃ₗ[R] M) : Flat R N := by
have h : e.symm.toLinearMap.comp e.toLinearMap = LinearMap.id := by simp
exact of_retract _ _ _ e.toLinearMap e.symm.toLinearMap h
instance directSum (ι : Type v) (M : ι → Type w) [(i : ι) → AddCommGroup (M i)]
[(i : ι) → Module R (M i)] [F : (i : ι) → (Flat R (M i))] : Flat R (⨁ i, M i) := by
haveI := Classical.decEq ι
rw [iff_rTensor_injective]
intro I hI
-- This instance was added during PR #10828,
-- see https://leanprover.zulipchat.com/#narrow/stream/144837-PR-reviews/topic/.2310828.20-.20generalizing.20CommRing.20to.20CommSemiring.20etc.2E/near/422684923
letI : ∀ i, AddCommGroup (I ⊗[R] M i) := inferInstance
rw [← Equiv.comp_injective _ (TensorProduct.lid R (⨁ i, M i)).toEquiv]
set η₁ := TensorProduct.lid R (⨁ i, M i)
set η := fun i ↦ TensorProduct.lid R (M i)
set φ := fun i ↦ rTensor (M i) I.subtype
set π := fun i ↦ component R ι (fun j ↦ M j) i
set ψ := (TensorProduct.directSumRight R {x // x ∈ I} (fun i ↦ M i)).symm.toLinearMap with psi_def
set ρ := rTensor (⨁ i, M i) I.subtype
set τ := (fun i ↦ component R ι (fun j ↦ ({x // x ∈ I} ⊗[R] (M j))) i)
rw [← Equiv.injective_comp (TensorProduct.directSumRight _ _ _).symm.toEquiv]
rw [LinearEquiv.coe_toEquiv, ← LinearEquiv.coe_coe, ← LinearMap.coe_comp]
rw [LinearEquiv.coe_toEquiv, ← LinearEquiv.coe_coe, ← LinearMap.coe_comp]
rw [← psi_def, injective_iff_map_eq_zero ((η₁.comp ρ).comp ψ)]
have h₁ : ∀ (i : ι), (π i).comp ((η₁.comp ρ).comp ψ) = (η i).comp ((φ i).comp (τ i)) := by
intro i
apply DirectSum.linearMap_ext
intro j
apply TensorProduct.ext'
intro a m
simp only [ρ, ψ, φ, η, η₁, coe_comp, LinearEquiv.coe_coe, Function.comp_apply,
directSumRight_symm_lof_tmul, rTensor_tmul, Submodule.coeSubtype, lid_tmul, map_smul]
rw [DirectSum.component.of, DirectSum.component.of]
by_cases h₂ : j = i
· subst j; simp
· simp [h₂]
intro a ha; rw [DirectSum.ext_iff R]; intro i
have f := LinearMap.congr_arg (f := (π i)) ha
erw [LinearMap.congr_fun (h₁ i) a] at f
rw [(map_zero (π i) : (π i) 0 = (0 : M i))] at f
have h₂ := F i
rw [iff_rTensor_injective] at h₂
have h₃ := h₂ hI
simp only [coe_comp, LinearEquiv.coe_coe, Function.comp_apply, AddEquivClass.map_eq_zero_iff,
h₃, LinearMap.map_eq_zero_iff] at f
simp [f]
open scoped Classical in
instance finsupp (ι : Type v) : Flat R (ι →₀ R) :=
of_linearEquiv R _ _ (finsuppLEquivDirectSum R R ι)
instance of_free [Free R M] : Flat R M := of_linearEquiv R _ _ (Free.repr R M)
lemma of_projective_surjective (ι : Type w) [Projective R M] (p : (ι →₀ R) →ₗ[R] M)
(hp : Surjective p) : Flat R M := by
have h := Module.projective_lifting_property p (LinearMap.id) hp
cases h with
| _ e he => exact of_retract R _ _ _ _ he
instance of_projective [h : Projective R M] : Flat R M := by
rw [Module.projective_def'] at h
cases h with
| _ e he => exact of_retract R _ _ _ _ he
lemma injective_characterModule_iff_rTensor_preserves_injective_linearMap :
Module.Injective R (CharacterModule M) ↔
∀ ⦃N N' : Type v⦄ [AddCommGroup N] [AddCommGroup N'] [Module R N] [Module R N']
(L : N →ₗ[R] N'), Function.Injective L → Function.Injective (L.rTensor M) := by
simp_rw [injective_iff, rTensor_injective_iff_lcomp_surjective, Surjective, DFunLike.ext_iff]; rfl
variable {R M N}
| Mathlib/RingTheory/Flat/Basic.lean | 223 | 225 | theorem iff_characterModule_baer : Flat R M ↔ Module.Baer R (CharacterModule M) := by |
simp_rw [iff_rTensor_injective', Baer, rTensor_injective_iff_lcomp_surjective,
Surjective, DFunLike.ext_iff, Subtype.forall]; rfl
|
import Mathlib.Analysis.LocallyConvex.Bounded
import Mathlib.Topology.Algebra.Module.Multilinear.Basic
open Bornology Filter Set Function
open scoped Topology
namespace Bornology.IsVonNBounded
variable {ι 𝕜 F : Type*} {E : ι → Type*} [NormedField 𝕜]
[∀ i, AddCommGroup (E i)] [∀ i, Module 𝕜 (E i)] [∀ i, TopologicalSpace (E i)]
[AddCommGroup F] [Module 𝕜 F] [TopologicalSpace F]
| Mathlib/Topology/Algebra/Module/Multilinear/Bounded.lean | 44 | 83 | theorem image_multilinear' [Nonempty ι] {s : Set (∀ i, E i)} (hs : IsVonNBounded 𝕜 s)
(f : ContinuousMultilinearMap 𝕜 E F) : IsVonNBounded 𝕜 (f '' s) := fun V hV ↦ by
classical
if h₁ : ∀ c : 𝕜, ‖c‖ ≤ 1 then
exact absorbs_iff_norm.2 ⟨2, fun c hc ↦ by linarith [h₁ c]⟩
else
let _ : NontriviallyNormedField 𝕜 := ⟨by simpa using h₁⟩
obtain ⟨I, t, ht₀, hft⟩ :
∃ (I : Finset ι) (t : ∀ i, Set (E i)), (∀ i, t i ∈ 𝓝 0) ∧ Set.pi I t ⊆ f ⁻¹' V := by |
have hfV : f ⁻¹' V ∈ 𝓝 0 := (map_continuous f).tendsto' _ _ f.map_zero hV
rwa [nhds_pi, Filter.mem_pi, exists_finite_iff_finset] at hfV
have : ∀ i, ∃ c : 𝕜, c ≠ 0 ∧ ∀ c' : 𝕜, ‖c'‖ ≤ ‖c‖ → ∀ x ∈ s, c' • x i ∈ t i := fun i ↦ by
rw [isVonNBounded_pi_iff] at hs
have := (hs i).tendsto_smallSets_nhds.eventually (mem_lift' (ht₀ i))
rcases NormedAddCommGroup.nhds_zero_basis_norm_lt.eventually_iff.1 this with ⟨r, hr₀, hr⟩
rcases NormedField.exists_norm_lt 𝕜 hr₀ with ⟨c, hc₀, hc⟩
refine ⟨c, norm_pos_iff.1 hc₀, fun c' hle x hx ↦ ?_⟩
exact hr (hle.trans_lt hc) ⟨_, ⟨x, hx, rfl⟩, rfl⟩
choose c hc₀ hc using this
rw [absorbs_iff_eventually_nhds_zero (mem_of_mem_nhds hV),
NormedAddCommGroup.nhds_zero_basis_norm_lt.eventually_iff]
have hc₀' : ∏ i ∈ I, c i ≠ 0 := Finset.prod_ne_zero_iff.2 fun i _ ↦ hc₀ i
refine ⟨‖∏ i ∈ I, c i‖, norm_pos_iff.2 hc₀', fun a ha ↦ mapsTo_image_iff.2 fun x hx ↦ ?_⟩
let ⟨i₀⟩ := ‹Nonempty ι›
set y := I.piecewise (fun i ↦ c i • x i) x
calc
a • f x = f (update y i₀ ((a / ∏ i ∈ I, c i) • y i₀)) := by
rw [f.map_smul, update_eq_self, f.map_piecewise_smul, div_eq_mul_inv, mul_smul,
inv_smul_smul₀ hc₀']
_ ∈ V := hft fun i hi ↦ by
rcases eq_or_ne i i₀ with rfl | hne
· simp_rw [update_same, y, I.piecewise_eq_of_mem _ _ hi, smul_smul]
refine hc _ _ ?_ _ hx
calc
‖(a / ∏ i ∈ I, c i) * c i‖ ≤ (‖∏ i ∈ I, c i‖ / ‖∏ i ∈ I, c i‖) * ‖c i‖ := by
rw [norm_mul, norm_div]; gcongr; exact ha.out.le
_ ≤ 1 * ‖c i‖ := by gcongr; apply div_self_le_one
_ = ‖c i‖ := one_mul _
· simp_rw [update_noteq hne, y, I.piecewise_eq_of_mem _ _ hi]
exact hc _ _ le_rfl _ hx
|
import Mathlib.LinearAlgebra.Matrix.Charpoly.Coeff
import Mathlib.LinearAlgebra.Matrix.ToLin
#align_import linear_algebra.matrix.charpoly.linear_map from "leanprover-community/mathlib"@"62c0a4ef1441edb463095ea02a06e87f3dfe135c"
variable {ι : Type*} [Fintype ι]
variable {M : Type*} [AddCommGroup M] (R : Type*) [CommRing R] [Module R M] (I : Ideal R)
variable (b : ι → M) (hb : Submodule.span R (Set.range b) = ⊤)
open Polynomial Matrix
def PiToModule.fromMatrix [DecidableEq ι] : Matrix ι ι R →ₗ[R] (ι → R) →ₗ[R] M :=
(LinearMap.llcomp R _ _ _ (Fintype.total R R b)).comp algEquivMatrix'.symm.toLinearMap
#align pi_to_module.from_matrix PiToModule.fromMatrix
theorem PiToModule.fromMatrix_apply [DecidableEq ι] (A : Matrix ι ι R) (w : ι → R) :
PiToModule.fromMatrix R b A w = Fintype.total R R b (A *ᵥ w) :=
rfl
#align pi_to_module.from_matrix_apply PiToModule.fromMatrix_apply
theorem PiToModule.fromMatrix_apply_single_one [DecidableEq ι] (A : Matrix ι ι R) (j : ι) :
PiToModule.fromMatrix R b A (Pi.single j 1) = ∑ i : ι, A i j • b i := by
rw [PiToModule.fromMatrix_apply, Fintype.total_apply, Matrix.mulVec_single]
simp_rw [mul_one]
#align pi_to_module.from_matrix_apply_single_one PiToModule.fromMatrix_apply_single_one
def PiToModule.fromEnd : Module.End R M →ₗ[R] (ι → R) →ₗ[R] M :=
LinearMap.lcomp _ _ (Fintype.total R R b)
#align pi_to_module.from_End PiToModule.fromEnd
theorem PiToModule.fromEnd_apply (f : Module.End R M) (w : ι → R) :
PiToModule.fromEnd R b f w = f (Fintype.total R R b w) :=
rfl
#align pi_to_module.from_End_apply PiToModule.fromEnd_apply
theorem PiToModule.fromEnd_apply_single_one [DecidableEq ι] (f : Module.End R M) (i : ι) :
PiToModule.fromEnd R b f (Pi.single i 1) = f (b i) := by
rw [PiToModule.fromEnd_apply]
congr
convert Fintype.total_apply_single (S := R) R b i (1 : R)
rw [one_smul]
#align pi_to_module.from_End_apply_single_one PiToModule.fromEnd_apply_single_one
theorem PiToModule.fromEnd_injective (hb : Submodule.span R (Set.range b) = ⊤) :
Function.Injective (PiToModule.fromEnd R b) := by
intro x y e
ext m
obtain ⟨m, rfl⟩ : m ∈ LinearMap.range (Fintype.total R R b) := by
rw [(Fintype.range_total R b).trans hb]
exact Submodule.mem_top
exact (LinearMap.congr_fun e m : _)
#align pi_to_module.from_End_injective PiToModule.fromEnd_injective
section
variable {R} [DecidableEq ι]
def Matrix.Represents (A : Matrix ι ι R) (f : Module.End R M) : Prop :=
PiToModule.fromMatrix R b A = PiToModule.fromEnd R b f
#align matrix.represents Matrix.Represents
variable {b}
theorem Matrix.Represents.congr_fun {A : Matrix ι ι R} {f : Module.End R M} (h : A.Represents b f)
(x) : Fintype.total R R b (A *ᵥ x) = f (Fintype.total R R b x) :=
LinearMap.congr_fun h x
#align matrix.represents.congr_fun Matrix.Represents.congr_fun
theorem Matrix.represents_iff {A : Matrix ι ι R} {f : Module.End R M} :
A.Represents b f ↔ ∀ x, Fintype.total R R b (A *ᵥ x) = f (Fintype.total R R b x) :=
⟨fun e x => e.congr_fun x, fun H => LinearMap.ext fun x => H x⟩
#align matrix.represents_iff Matrix.represents_iff
theorem Matrix.represents_iff' {A : Matrix ι ι R} {f : Module.End R M} :
A.Represents b f ↔ ∀ j, ∑ i : ι, A i j • b i = f (b j) := by
constructor
· intro h i
have := LinearMap.congr_fun h (Pi.single i 1)
rwa [PiToModule.fromEnd_apply_single_one, PiToModule.fromMatrix_apply_single_one] at this
· intro h
-- Porting note: was `ext`
refine LinearMap.pi_ext' (fun i => LinearMap.ext_ring ?_)
simp_rw [LinearMap.comp_apply, LinearMap.coe_single, PiToModule.fromEnd_apply_single_one,
PiToModule.fromMatrix_apply_single_one]
apply h
#align matrix.represents_iff' Matrix.represents_iff'
theorem Matrix.Represents.mul {A A' : Matrix ι ι R} {f f' : Module.End R M} (h : A.Represents b f)
(h' : Matrix.Represents b A' f') : (A * A').Represents b (f * f') := by
delta Matrix.Represents PiToModule.fromMatrix
rw [LinearMap.comp_apply, AlgEquiv.toLinearMap_apply, _root_.map_mul]
ext
dsimp [PiToModule.fromEnd]
rw [← h'.congr_fun, ← h.congr_fun]
rfl
#align matrix.represents.mul Matrix.Represents.mul
theorem Matrix.Represents.one : (1 : Matrix ι ι R).Represents b 1 := by
delta Matrix.Represents PiToModule.fromMatrix
rw [LinearMap.comp_apply, AlgEquiv.toLinearMap_apply, _root_.map_one]
ext
rfl
#align matrix.represents.one Matrix.Represents.one
theorem Matrix.Represents.add {A A' : Matrix ι ι R} {f f' : Module.End R M} (h : A.Represents b f)
(h' : Matrix.Represents b A' f') : (A + A').Represents b (f + f') := by
delta Matrix.Represents at h h' ⊢; rw [map_add, map_add, h, h']
#align matrix.represents.add Matrix.Represents.add
theorem Matrix.Represents.zero : (0 : Matrix ι ι R).Represents b 0 := by
delta Matrix.Represents
rw [map_zero, map_zero]
#align matrix.represents.zero Matrix.Represents.zero
theorem Matrix.Represents.smul {A : Matrix ι ι R} {f : Module.End R M} (h : A.Represents b f)
(r : R) : (r • A).Represents b (r • f) := by
delta Matrix.Represents at h ⊢
rw [_root_.map_smul, _root_.map_smul, h]
#align matrix.represents.smul Matrix.Represents.smul
theorem Matrix.Represents.algebraMap (r : R) :
(algebraMap _ (Matrix ι ι R) r).Represents b (algebraMap _ (Module.End R M) r) := by
simpa only [Algebra.algebraMap_eq_smul_one] using Matrix.Represents.one.smul r
theorem Matrix.Represents.eq {A : Matrix ι ι R} {f f' : Module.End R M} (h : A.Represents b f)
(h' : A.Represents b f') : f = f' :=
PiToModule.fromEnd_injective R b hb (h.symm.trans h')
#align matrix.represents.eq Matrix.Represents.eq
variable (b R)
def Matrix.isRepresentation : Subalgebra R (Matrix ι ι R) where
carrier := { A | ∃ f : Module.End R M, A.Represents b f }
mul_mem' := fun ⟨f₁, e₁⟩ ⟨f₂, e₂⟩ => ⟨f₁ * f₂, e₁.mul e₂⟩
one_mem' := ⟨1, Matrix.Represents.one⟩
add_mem' := fun ⟨f₁, e₁⟩ ⟨f₂, e₂⟩ => ⟨f₁ + f₂, e₁.add e₂⟩
zero_mem' := ⟨0, Matrix.Represents.zero⟩
algebraMap_mem' r := ⟨algebraMap _ _ r, .algebraMap _⟩
#align matrix.is_representation Matrix.isRepresentation
noncomputable def Matrix.isRepresentation.toEnd :
Matrix.isRepresentation R b →ₐ[R] Module.End R M where
toFun A := A.2.choose
map_one' := (1 : Matrix.isRepresentation R b).2.choose_spec.eq hb Matrix.Represents.one
map_mul' A₁ A₂ := (A₁ * A₂).2.choose_spec.eq hb (A₁.2.choose_spec.mul A₂.2.choose_spec)
map_zero' := (0 : Matrix.isRepresentation R b).2.choose_spec.eq hb Matrix.Represents.zero
map_add' A₁ A₂ := (A₁ + A₂).2.choose_spec.eq hb (A₁.2.choose_spec.add A₂.2.choose_spec)
commutes' r :=
(algebraMap _ (Matrix.isRepresentation R b) r).2.choose_spec.eq hb (.algebraMap r)
#align matrix.is_representation.to_End Matrix.isRepresentation.toEnd
theorem Matrix.isRepresentation.toEnd_represents (A : Matrix.isRepresentation R b) :
(A : Matrix ι ι R).Represents b (Matrix.isRepresentation.toEnd R b hb A) :=
A.2.choose_spec
#align matrix.is_representation.to_End_represents Matrix.isRepresentation.toEnd_represents
theorem Matrix.isRepresentation.eq_toEnd_of_represents (A : Matrix.isRepresentation R b)
{f : Module.End R M} (h : (A : Matrix ι ι R).Represents b f) :
Matrix.isRepresentation.toEnd R b hb A = f :=
A.2.choose_spec.eq hb h
#align matrix.is_representation.eq_to_End_of_represents Matrix.isRepresentation.eq_toEnd_of_represents
theorem Matrix.isRepresentation.toEnd_exists_mem_ideal (f : Module.End R M) (I : Ideal R)
(hI : LinearMap.range f ≤ I • ⊤) :
∃ M, Matrix.isRepresentation.toEnd R b hb M = f ∧ ∀ i j, M.1 i j ∈ I := by
have : ∀ x, f x ∈ LinearMap.range (Ideal.finsuppTotal ι M I b) := by
rw [Ideal.range_finsuppTotal, hb]
exact fun x => hI (LinearMap.mem_range_self f x)
choose bM' hbM' using this
let A : Matrix ι ι R := fun i j => bM' (b j) i
have : A.Represents b f := by
rw [Matrix.represents_iff']
dsimp [A]
intro j
specialize hbM' (b j)
rwa [Ideal.finsuppTotal_apply_eq_of_fintype] at hbM'
exact
⟨⟨A, f, this⟩, Matrix.isRepresentation.eq_toEnd_of_represents R b hb ⟨A, f, this⟩ this,
fun i j => (bM' (b j) i).prop⟩
#align matrix.is_representation.to_End_exists_mem_ideal Matrix.isRepresentation.toEnd_exists_mem_ideal
theorem Matrix.isRepresentation.toEnd_surjective :
Function.Surjective (Matrix.isRepresentation.toEnd R b hb) := by
intro f
obtain ⟨M, e, -⟩ := Matrix.isRepresentation.toEnd_exists_mem_ideal R b hb f ⊤ (by simp)
exact ⟨M, e⟩
#align matrix.is_representation.to_End_surjective Matrix.isRepresentation.toEnd_surjective
end
| Mathlib/LinearAlgebra/Matrix/Charpoly/LinearMap.lean | 227 | 247 | theorem LinearMap.exists_monic_and_coeff_mem_pow_and_aeval_eq_zero_of_range_le_smul
[Module.Finite R M] (f : Module.End R M) (I : Ideal R) (hI : LinearMap.range f ≤ I • ⊤) :
∃ p : R[X], p.Monic ∧ (∀ k, p.coeff k ∈ I ^ (p.natDegree - k)) ∧ Polynomial.aeval f p = 0 := by |
classical
cases subsingleton_or_nontrivial R
· exact ⟨0, Polynomial.monic_of_subsingleton _, by simp⟩
obtain ⟨s : Finset M, hs : Submodule.span R (s : Set M) = ⊤⟩ :=
Module.Finite.out (R := R) (M := M)
-- Porting note: `H` was `rfl`
obtain ⟨A, H, h⟩ :=
Matrix.isRepresentation.toEnd_exists_mem_ideal R ((↑) : s → M)
(by rw [Subtype.range_coe_subtype, Finset.setOf_mem, hs]) f I hI
rw [← H]
refine ⟨A.1.charpoly, A.1.charpoly_monic, ?_, ?_⟩
· rw [A.1.charpoly_natDegree_eq_dim]
exact coeff_charpoly_mem_ideal_pow h
· rw [Polynomial.aeval_algHom_apply,
← map_zero (Matrix.isRepresentation.toEnd R ((↑) : s → M) _)]
congr 1
ext1
rw [Polynomial.aeval_subalgebra_coe, Matrix.aeval_self_charpoly, Subalgebra.coe_zero]
|
import Mathlib.Probability.Notation
import Mathlib.Probability.Integration
import Mathlib.MeasureTheory.Function.L2Space
#align_import probability.variance from "leanprover-community/mathlib"@"f0c8bf9245297a541f468be517f1bde6195105e9"
open MeasureTheory Filter Finset
noncomputable section
open scoped MeasureTheory ProbabilityTheory ENNReal NNReal
namespace ProbabilityTheory
-- Porting note: this lemma replaces `ENNReal.toReal_bit0`, which does not exist in Lean 4
private lemma coe_two : ENNReal.toReal 2 = (2 : ℝ) := rfl
-- Porting note: Consider if `evariance` or `eVariance` is better. Also,
-- consider `eVariationOn` in `Mathlib.Analysis.BoundedVariation`.
def evariance {Ω : Type*} {_ : MeasurableSpace Ω} (X : Ω → ℝ) (μ : Measure Ω) : ℝ≥0∞ :=
∫⁻ ω, (‖X ω - μ[X]‖₊ : ℝ≥0∞) ^ 2 ∂μ
#align probability_theory.evariance ProbabilityTheory.evariance
def variance {Ω : Type*} {_ : MeasurableSpace Ω} (X : Ω → ℝ) (μ : Measure Ω) : ℝ :=
(evariance X μ).toReal
#align probability_theory.variance ProbabilityTheory.variance
variable {Ω : Type*} {m : MeasurableSpace Ω} {X : Ω → ℝ} {μ : Measure Ω}
theorem _root_.MeasureTheory.Memℒp.evariance_lt_top [IsFiniteMeasure μ] (hX : Memℒp X 2 μ) :
evariance X μ < ∞ := by
have := ENNReal.pow_lt_top (hX.sub <| memℒp_const <| μ[X]).2 2
rw [snorm_eq_lintegral_rpow_nnnorm two_ne_zero ENNReal.two_ne_top, ← ENNReal.rpow_two] at this
simp only [coe_two, Pi.sub_apply, ENNReal.one_toReal, one_div] at this
rw [← ENNReal.rpow_mul, inv_mul_cancel (two_ne_zero : (2 : ℝ) ≠ 0), ENNReal.rpow_one] at this
simp_rw [ENNReal.rpow_two] at this
exact this
#align measure_theory.mem_ℒp.evariance_lt_top MeasureTheory.Memℒp.evariance_lt_top
theorem evariance_eq_top [IsFiniteMeasure μ] (hXm : AEStronglyMeasurable X μ) (hX : ¬Memℒp X 2 μ) :
evariance X μ = ∞ := by
by_contra h
rw [← Ne, ← lt_top_iff_ne_top] at h
have : Memℒp (fun ω => X ω - μ[X]) 2 μ := by
refine ⟨hXm.sub aestronglyMeasurable_const, ?_⟩
rw [snorm_eq_lintegral_rpow_nnnorm two_ne_zero ENNReal.two_ne_top]
simp only [coe_two, ENNReal.one_toReal, ENNReal.rpow_two, Ne]
exact ENNReal.rpow_lt_top_of_nonneg (by linarith) h.ne
refine hX ?_
-- Porting note: `μ[X]` without whitespace is ambiguous as it could be GetElem,
-- and `convert` cannot disambiguate based on typeclass inference failure.
convert this.add (memℒp_const <| μ [X])
ext ω
rw [Pi.add_apply, sub_add_cancel]
#align probability_theory.evariance_eq_top ProbabilityTheory.evariance_eq_top
theorem evariance_lt_top_iff_memℒp [IsFiniteMeasure μ] (hX : AEStronglyMeasurable X μ) :
evariance X μ < ∞ ↔ Memℒp X 2 μ := by
refine ⟨?_, MeasureTheory.Memℒp.evariance_lt_top⟩
contrapose
rw [not_lt, top_le_iff]
exact evariance_eq_top hX
#align probability_theory.evariance_lt_top_iff_mem_ℒp ProbabilityTheory.evariance_lt_top_iff_memℒp
theorem _root_.MeasureTheory.Memℒp.ofReal_variance_eq [IsFiniteMeasure μ] (hX : Memℒp X 2 μ) :
ENNReal.ofReal (variance X μ) = evariance X μ := by
rw [variance, ENNReal.ofReal_toReal]
exact hX.evariance_lt_top.ne
#align measure_theory.mem_ℒp.of_real_variance_eq MeasureTheory.Memℒp.ofReal_variance_eq
theorem evariance_eq_lintegral_ofReal (X : Ω → ℝ) (μ : Measure Ω) :
evariance X μ = ∫⁻ ω, ENNReal.ofReal ((X ω - μ[X]) ^ 2) ∂μ := by
rw [evariance]
congr
ext1 ω
rw [pow_two, ← ENNReal.coe_mul, ← nnnorm_mul, ← pow_two]
congr
exact (Real.toNNReal_eq_nnnorm_of_nonneg <| sq_nonneg _).symm
#align probability_theory.evariance_eq_lintegral_of_real ProbabilityTheory.evariance_eq_lintegral_ofReal
theorem _root_.MeasureTheory.Memℒp.variance_eq_of_integral_eq_zero (hX : Memℒp X 2 μ)
(hXint : μ[X] = 0) : variance X μ = μ[X ^ (2 : Nat)] := by
rw [variance, evariance_eq_lintegral_ofReal, ← ofReal_integral_eq_lintegral_ofReal,
ENNReal.toReal_ofReal (by positivity)] <;>
simp_rw [hXint, sub_zero]
· rfl
· convert hX.integrable_norm_rpow two_ne_zero ENNReal.two_ne_top with ω
simp only [Pi.sub_apply, Real.norm_eq_abs, coe_two, ENNReal.one_toReal,
Real.rpow_two, sq_abs, abs_pow]
· exact ae_of_all _ fun ω => pow_two_nonneg _
#align measure_theory.mem_ℒp.variance_eq_of_integral_eq_zero MeasureTheory.Memℒp.variance_eq_of_integral_eq_zero
theorem _root_.MeasureTheory.Memℒp.variance_eq [IsFiniteMeasure μ] (hX : Memℒp X 2 μ) :
variance X μ = μ[(X - fun _ => μ[X] :) ^ (2 : Nat)] := by
rw [variance, evariance_eq_lintegral_ofReal, ← ofReal_integral_eq_lintegral_ofReal,
ENNReal.toReal_ofReal (by positivity)]
· rfl
· -- Porting note: `μ[X]` without whitespace is ambiguous as it could be GetElem,
-- and `convert` cannot disambiguate based on typeclass inference failure.
convert (hX.sub <| memℒp_const (μ [X])).integrable_norm_rpow two_ne_zero ENNReal.two_ne_top
with ω
simp only [Pi.sub_apply, Real.norm_eq_abs, coe_two, ENNReal.one_toReal,
Real.rpow_two, sq_abs, abs_pow]
· exact ae_of_all _ fun ω => pow_two_nonneg _
#align measure_theory.mem_ℒp.variance_eq MeasureTheory.Memℒp.variance_eq
@[simp]
theorem evariance_zero : evariance 0 μ = 0 := by simp [evariance]
#align probability_theory.evariance_zero ProbabilityTheory.evariance_zero
theorem evariance_eq_zero_iff (hX : AEMeasurable X μ) :
evariance X μ = 0 ↔ X =ᵐ[μ] fun _ => μ[X] := by
rw [evariance, lintegral_eq_zero_iff']
constructor <;> intro hX <;> filter_upwards [hX] with ω hω
· simpa only [Pi.zero_apply, sq_eq_zero_iff, ENNReal.coe_eq_zero, nnnorm_eq_zero, sub_eq_zero]
using hω
· rw [hω]
simp
· exact (hX.sub_const _).ennnorm.pow_const _ -- TODO `measurability` and `fun_prop` fail
#align probability_theory.evariance_eq_zero_iff ProbabilityTheory.evariance_eq_zero_iff
theorem evariance_mul (c : ℝ) (X : Ω → ℝ) (μ : Measure Ω) :
evariance (fun ω => c * X ω) μ = ENNReal.ofReal (c ^ 2) * evariance X μ := by
rw [evariance, evariance, ← lintegral_const_mul' _ _ ENNReal.ofReal_lt_top.ne]
congr
ext1 ω
rw [ENNReal.ofReal, ← ENNReal.coe_pow, ← ENNReal.coe_pow, ← ENNReal.coe_mul]
congr
rw [← sq_abs, ← Real.rpow_two, Real.toNNReal_rpow_of_nonneg (abs_nonneg _), NNReal.rpow_two,
← mul_pow, Real.toNNReal_mul_nnnorm _ (abs_nonneg _)]
conv_rhs => rw [← nnnorm_norm, norm_mul, norm_abs_eq_norm, ← norm_mul, nnnorm_norm, mul_sub]
congr
rw [mul_comm]
simp_rw [← smul_eq_mul, ← integral_smul_const, smul_eq_mul, mul_comm]
#align probability_theory.evariance_mul ProbabilityTheory.evariance_mul
scoped notation "eVar[" X "]" => ProbabilityTheory.evariance X MeasureTheory.MeasureSpace.volume
@[simp]
theorem variance_zero (μ : Measure Ω) : variance 0 μ = 0 := by
simp only [variance, evariance_zero, ENNReal.zero_toReal]
#align probability_theory.variance_zero ProbabilityTheory.variance_zero
theorem variance_nonneg (X : Ω → ℝ) (μ : Measure Ω) : 0 ≤ variance X μ :=
ENNReal.toReal_nonneg
#align probability_theory.variance_nonneg ProbabilityTheory.variance_nonneg
theorem variance_mul (c : ℝ) (X : Ω → ℝ) (μ : Measure Ω) :
variance (fun ω => c * X ω) μ = c ^ 2 * variance X μ := by
rw [variance, evariance_mul, ENNReal.toReal_mul, ENNReal.toReal_ofReal (sq_nonneg _)]
rfl
#align probability_theory.variance_mul ProbabilityTheory.variance_mul
theorem variance_smul (c : ℝ) (X : Ω → ℝ) (μ : Measure Ω) :
variance (c • X) μ = c ^ 2 * variance X μ :=
variance_mul c X μ
#align probability_theory.variance_smul ProbabilityTheory.variance_smul
theorem variance_smul' {A : Type*} [CommSemiring A] [Algebra A ℝ] (c : A) (X : Ω → ℝ)
(μ : Measure Ω) : variance (c • X) μ = c ^ 2 • variance X μ := by
convert variance_smul (algebraMap A ℝ c) X μ using 1
· congr; simp only [algebraMap_smul]
· simp only [Algebra.smul_def, map_pow]
#align probability_theory.variance_smul' ProbabilityTheory.variance_smul'
scoped notation "Var[" X "]" => ProbabilityTheory.variance X MeasureTheory.MeasureSpace.volume
variable [MeasureSpace Ω]
theorem variance_def' [@IsProbabilityMeasure Ω _ ℙ] {X : Ω → ℝ} (hX : Memℒp X 2) :
Var[X] = 𝔼[X ^ 2] - 𝔼[X] ^ 2 := by
rw [hX.variance_eq, sub_sq', integral_sub', integral_add']; rotate_left
· exact hX.integrable_sq
· convert @integrable_const Ω ℝ (_) ℙ _ _ (𝔼[X] ^ 2)
· apply hX.integrable_sq.add
convert @integrable_const Ω ℝ (_) ℙ _ _ (𝔼[X] ^ 2)
· exact ((hX.integrable one_le_two).const_mul 2).mul_const' _
simp only [Pi.pow_apply, integral_const, measure_univ, ENNReal.one_toReal, smul_eq_mul, one_mul,
Pi.mul_apply, Pi.ofNat_apply, Nat.cast_ofNat, integral_mul_right, integral_mul_left]
ring
#align probability_theory.variance_def' ProbabilityTheory.variance_def'
theorem variance_le_expectation_sq [@IsProbabilityMeasure Ω _ ℙ] {X : Ω → ℝ}
(hm : AEStronglyMeasurable X ℙ) : Var[X] ≤ 𝔼[X ^ 2] := by
by_cases hX : Memℒp X 2
· rw [variance_def' hX]
simp only [sq_nonneg, sub_le_self_iff]
rw [variance, evariance_eq_lintegral_ofReal, ← integral_eq_lintegral_of_nonneg_ae]
· by_cases hint : Integrable X; swap
· simp only [integral_undef hint, Pi.pow_apply, Pi.sub_apply, sub_zero]
exact le_rfl
· rw [integral_undef]
· exact integral_nonneg fun a => sq_nonneg _
intro h
have A : Memℒp (X - fun ω : Ω => 𝔼[X]) 2 ℙ :=
(memℒp_two_iff_integrable_sq (hint.aestronglyMeasurable.sub aestronglyMeasurable_const)).2 h
have B : Memℒp (fun _ : Ω => 𝔼[X]) 2 ℙ := memℒp_const _
apply hX
convert A.add B
simp
· exact eventually_of_forall fun x => sq_nonneg _
· exact (AEMeasurable.pow_const (hm.aemeasurable.sub_const _) _).aestronglyMeasurable
#align probability_theory.variance_le_expectation_sq ProbabilityTheory.variance_le_expectation_sq
theorem evariance_def' [@IsProbabilityMeasure Ω _ ℙ] {X : Ω → ℝ} (hX : AEStronglyMeasurable X ℙ) :
eVar[X] = (∫⁻ ω, (‖X ω‖₊ ^ 2 :)) - ENNReal.ofReal (𝔼[X] ^ 2) := by
by_cases hℒ : Memℒp X 2
· rw [← hℒ.ofReal_variance_eq, variance_def' hℒ, ENNReal.ofReal_sub _ (sq_nonneg _)]
congr
rw [lintegral_coe_eq_integral]
· congr 2 with ω
simp only [Pi.pow_apply, NNReal.coe_pow, coe_nnnorm, Real.norm_eq_abs, Even.pow_abs even_two]
· exact hℒ.abs.integrable_sq
· symm
rw [evariance_eq_top hX hℒ, ENNReal.sub_eq_top_iff]
refine ⟨?_, ENNReal.ofReal_ne_top⟩
rw [Memℒp, not_and] at hℒ
specialize hℒ hX
simp only [snorm_eq_lintegral_rpow_nnnorm two_ne_zero ENNReal.two_ne_top, not_lt, top_le_iff,
coe_two, one_div, ENNReal.rpow_eq_top_iff, inv_lt_zero, inv_pos, and_true_iff,
or_iff_not_imp_left, not_and_or, zero_lt_two] at hℒ
exact mod_cast hℒ fun _ => zero_le_two
#align probability_theory.evariance_def' ProbabilityTheory.evariance_def'
theorem meas_ge_le_evariance_div_sq {X : Ω → ℝ} (hX : AEStronglyMeasurable X ℙ) {c : ℝ≥0}
(hc : c ≠ 0) : ℙ {ω | ↑c ≤ |X ω - 𝔼[X]|} ≤ eVar[X] / c ^ 2 := by
have A : (c : ℝ≥0∞) ≠ 0 := by rwa [Ne, ENNReal.coe_eq_zero]
have B : AEStronglyMeasurable (fun _ : Ω => 𝔼[X]) ℙ := aestronglyMeasurable_const
convert meas_ge_le_mul_pow_snorm ℙ two_ne_zero ENNReal.two_ne_top (hX.sub B) A using 1
· congr
simp only [Pi.sub_apply, ENNReal.coe_le_coe, ← Real.norm_eq_abs, ← coe_nnnorm,
NNReal.coe_le_coe, ENNReal.ofReal_coe_nnreal]
· rw [snorm_eq_lintegral_rpow_nnnorm two_ne_zero ENNReal.two_ne_top]
simp only [show ENNReal.ofNNReal (c ^ 2) = (ENNReal.ofNNReal c) ^ 2 by norm_cast, coe_two,
one_div, Pi.sub_apply]
rw [div_eq_mul_inv, ENNReal.inv_pow, mul_comm, ENNReal.rpow_two]
congr
simp_rw [← ENNReal.rpow_mul, inv_mul_cancel (two_ne_zero : (2 : ℝ) ≠ 0), ENNReal.rpow_two,
ENNReal.rpow_one, evariance]
#align probability_theory.meas_ge_le_evariance_div_sq ProbabilityTheory.meas_ge_le_evariance_div_sq
theorem meas_ge_le_variance_div_sq [@IsFiniteMeasure Ω _ ℙ] {X : Ω → ℝ} (hX : Memℒp X 2) {c : ℝ}
(hc : 0 < c) : ℙ {ω | c ≤ |X ω - 𝔼[X]|} ≤ ENNReal.ofReal (Var[X] / c ^ 2) := by
rw [ENNReal.ofReal_div_of_pos (sq_pos_of_ne_zero hc.ne.symm), hX.ofReal_variance_eq]
convert @meas_ge_le_evariance_div_sq _ _ _ hX.1 c.toNNReal (by simp [hc]) using 1
· simp only [Real.coe_toNNReal', max_le_iff, abs_nonneg, and_true_iff]
· rw [ENNReal.ofReal_pow hc.le]
rfl
#align probability_theory.meas_ge_le_variance_div_sq ProbabilityTheory.meas_ge_le_variance_div_sq
-- Porting note: supplied `MeasurableSpace Ω` argument of `h` by unification
| Mathlib/Probability/Variance.lean | 291 | 309 | theorem IndepFun.variance_add [@IsProbabilityMeasure Ω _ ℙ] {X Y : Ω → ℝ} (hX : Memℒp X 2)
(hY : Memℒp Y 2) (h : @IndepFun _ _ _ (_) _ _ X Y ℙ) : Var[X + Y] = Var[X] + Var[Y] :=
calc
Var[X + Y] = 𝔼[fun a => X a ^ 2 + Y a ^ 2 + 2 * X a * Y a] - 𝔼[X + Y] ^ 2 := by |
simp [variance_def' (hX.add hY), add_sq']
_ = 𝔼[X ^ 2] + 𝔼[Y ^ 2] + (2 : ℝ) * 𝔼[X * Y] - (𝔼[X] + 𝔼[Y]) ^ 2 := by
simp only [Pi.add_apply, Pi.pow_apply, Pi.mul_apply, mul_assoc]
rw [integral_add, integral_add, integral_add, integral_mul_left]
· exact hX.integrable one_le_two
· exact hY.integrable one_le_two
· exact hX.integrable_sq
· exact hY.integrable_sq
· exact hX.integrable_sq.add hY.integrable_sq
· apply Integrable.const_mul
exact h.integrable_mul (hX.integrable one_le_two) (hY.integrable one_le_two)
_ = 𝔼[X ^ 2] + 𝔼[Y ^ 2] + 2 * (𝔼[X] * 𝔼[Y]) - (𝔼[X] + 𝔼[Y]) ^ 2 := by
congr
exact h.integral_mul_of_integrable (hX.integrable one_le_two) (hY.integrable one_le_two)
_ = Var[X] + Var[Y] := by simp only [variance_def', hX, hY, Pi.pow_apply]; ring
|
import Mathlib.Order.Interval.Set.UnorderedInterval
import Mathlib.Algebra.Order.Interval.Set.Monoid
import Mathlib.Data.Set.Pointwise.Basic
import Mathlib.Algebra.Order.Field.Basic
import Mathlib.Algebra.Order.Group.MinMax
#align_import data.set.pointwise.interval from "leanprover-community/mathlib"@"2196ab363eb097c008d4497125e0dde23fb36db2"
open Interval Pointwise
variable {α : Type*}
namespace Set
section OrderedAddCommGroup
variable [OrderedAddCommGroup α] (a b c : α)
@[simp]
theorem preimage_const_add_Ici : (fun x => a + x) ⁻¹' Ici b = Ici (b - a) :=
ext fun _x => sub_le_iff_le_add'.symm
#align set.preimage_const_add_Ici Set.preimage_const_add_Ici
@[simp]
theorem preimage_const_add_Ioi : (fun x => a + x) ⁻¹' Ioi b = Ioi (b - a) :=
ext fun _x => sub_lt_iff_lt_add'.symm
#align set.preimage_const_add_Ioi Set.preimage_const_add_Ioi
@[simp]
theorem preimage_const_add_Iic : (fun x => a + x) ⁻¹' Iic b = Iic (b - a) :=
ext fun _x => le_sub_iff_add_le'.symm
#align set.preimage_const_add_Iic Set.preimage_const_add_Iic
@[simp]
theorem preimage_const_add_Iio : (fun x => a + x) ⁻¹' Iio b = Iio (b - a) :=
ext fun _x => lt_sub_iff_add_lt'.symm
#align set.preimage_const_add_Iio Set.preimage_const_add_Iio
@[simp]
theorem preimage_const_add_Icc : (fun x => a + x) ⁻¹' Icc b c = Icc (b - a) (c - a) := by
simp [← Ici_inter_Iic]
#align set.preimage_const_add_Icc Set.preimage_const_add_Icc
@[simp]
theorem preimage_const_add_Ico : (fun x => a + x) ⁻¹' Ico b c = Ico (b - a) (c - a) := by
simp [← Ici_inter_Iio]
#align set.preimage_const_add_Ico Set.preimage_const_add_Ico
@[simp]
theorem preimage_const_add_Ioc : (fun x => a + x) ⁻¹' Ioc b c = Ioc (b - a) (c - a) := by
simp [← Ioi_inter_Iic]
#align set.preimage_const_add_Ioc Set.preimage_const_add_Ioc
@[simp]
theorem preimage_const_add_Ioo : (fun x => a + x) ⁻¹' Ioo b c = Ioo (b - a) (c - a) := by
simp [← Ioi_inter_Iio]
#align set.preimage_const_add_Ioo Set.preimage_const_add_Ioo
@[simp]
theorem preimage_add_const_Ici : (fun x => x + a) ⁻¹' Ici b = Ici (b - a) :=
ext fun _x => sub_le_iff_le_add.symm
#align set.preimage_add_const_Ici Set.preimage_add_const_Ici
@[simp]
theorem preimage_add_const_Ioi : (fun x => x + a) ⁻¹' Ioi b = Ioi (b - a) :=
ext fun _x => sub_lt_iff_lt_add.symm
#align set.preimage_add_const_Ioi Set.preimage_add_const_Ioi
@[simp]
theorem preimage_add_const_Iic : (fun x => x + a) ⁻¹' Iic b = Iic (b - a) :=
ext fun _x => le_sub_iff_add_le.symm
#align set.preimage_add_const_Iic Set.preimage_add_const_Iic
@[simp]
theorem preimage_add_const_Iio : (fun x => x + a) ⁻¹' Iio b = Iio (b - a) :=
ext fun _x => lt_sub_iff_add_lt.symm
#align set.preimage_add_const_Iio Set.preimage_add_const_Iio
@[simp]
theorem preimage_add_const_Icc : (fun x => x + a) ⁻¹' Icc b c = Icc (b - a) (c - a) := by
simp [← Ici_inter_Iic]
#align set.preimage_add_const_Icc Set.preimage_add_const_Icc
@[simp]
theorem preimage_add_const_Ico : (fun x => x + a) ⁻¹' Ico b c = Ico (b - a) (c - a) := by
simp [← Ici_inter_Iio]
#align set.preimage_add_const_Ico Set.preimage_add_const_Ico
@[simp]
theorem preimage_add_const_Ioc : (fun x => x + a) ⁻¹' Ioc b c = Ioc (b - a) (c - a) := by
simp [← Ioi_inter_Iic]
#align set.preimage_add_const_Ioc Set.preimage_add_const_Ioc
@[simp]
theorem preimage_add_const_Ioo : (fun x => x + a) ⁻¹' Ioo b c = Ioo (b - a) (c - a) := by
simp [← Ioi_inter_Iio]
#align set.preimage_add_const_Ioo Set.preimage_add_const_Ioo
@[simp]
theorem preimage_neg_Ici : -Ici a = Iic (-a) :=
ext fun _x => le_neg
#align set.preimage_neg_Ici Set.preimage_neg_Ici
@[simp]
theorem preimage_neg_Iic : -Iic a = Ici (-a) :=
ext fun _x => neg_le
#align set.preimage_neg_Iic Set.preimage_neg_Iic
@[simp]
theorem preimage_neg_Ioi : -Ioi a = Iio (-a) :=
ext fun _x => lt_neg
#align set.preimage_neg_Ioi Set.preimage_neg_Ioi
@[simp]
theorem preimage_neg_Iio : -Iio a = Ioi (-a) :=
ext fun _x => neg_lt
#align set.preimage_neg_Iio Set.preimage_neg_Iio
@[simp]
theorem preimage_neg_Icc : -Icc a b = Icc (-b) (-a) := by simp [← Ici_inter_Iic, inter_comm]
#align set.preimage_neg_Icc Set.preimage_neg_Icc
@[simp]
theorem preimage_neg_Ico : -Ico a b = Ioc (-b) (-a) := by
simp [← Ici_inter_Iio, ← Ioi_inter_Iic, inter_comm]
#align set.preimage_neg_Ico Set.preimage_neg_Ico
@[simp]
theorem preimage_neg_Ioc : -Ioc a b = Ico (-b) (-a) := by
simp [← Ioi_inter_Iic, ← Ici_inter_Iio, inter_comm]
#align set.preimage_neg_Ioc Set.preimage_neg_Ioc
@[simp]
theorem preimage_neg_Ioo : -Ioo a b = Ioo (-b) (-a) := by simp [← Ioi_inter_Iio, inter_comm]
#align set.preimage_neg_Ioo Set.preimage_neg_Ioo
@[simp]
theorem preimage_sub_const_Ici : (fun x => x - a) ⁻¹' Ici b = Ici (b + a) := by
simp [sub_eq_add_neg]
#align set.preimage_sub_const_Ici Set.preimage_sub_const_Ici
@[simp]
theorem preimage_sub_const_Ioi : (fun x => x - a) ⁻¹' Ioi b = Ioi (b + a) := by
simp [sub_eq_add_neg]
#align set.preimage_sub_const_Ioi Set.preimage_sub_const_Ioi
@[simp]
theorem preimage_sub_const_Iic : (fun x => x - a) ⁻¹' Iic b = Iic (b + a) := by
simp [sub_eq_add_neg]
#align set.preimage_sub_const_Iic Set.preimage_sub_const_Iic
@[simp]
theorem preimage_sub_const_Iio : (fun x => x - a) ⁻¹' Iio b = Iio (b + a) := by
simp [sub_eq_add_neg]
#align set.preimage_sub_const_Iio Set.preimage_sub_const_Iio
@[simp]
theorem preimage_sub_const_Icc : (fun x => x - a) ⁻¹' Icc b c = Icc (b + a) (c + a) := by
simp [sub_eq_add_neg]
#align set.preimage_sub_const_Icc Set.preimage_sub_const_Icc
@[simp]
theorem preimage_sub_const_Ico : (fun x => x - a) ⁻¹' Ico b c = Ico (b + a) (c + a) := by
simp [sub_eq_add_neg]
#align set.preimage_sub_const_Ico Set.preimage_sub_const_Ico
@[simp]
theorem preimage_sub_const_Ioc : (fun x => x - a) ⁻¹' Ioc b c = Ioc (b + a) (c + a) := by
simp [sub_eq_add_neg]
#align set.preimage_sub_const_Ioc Set.preimage_sub_const_Ioc
@[simp]
theorem preimage_sub_const_Ioo : (fun x => x - a) ⁻¹' Ioo b c = Ioo (b + a) (c + a) := by
simp [sub_eq_add_neg]
#align set.preimage_sub_const_Ioo Set.preimage_sub_const_Ioo
@[simp]
theorem preimage_const_sub_Ici : (fun x => a - x) ⁻¹' Ici b = Iic (a - b) :=
ext fun _x => le_sub_comm
#align set.preimage_const_sub_Ici Set.preimage_const_sub_Ici
@[simp]
theorem preimage_const_sub_Iic : (fun x => a - x) ⁻¹' Iic b = Ici (a - b) :=
ext fun _x => sub_le_comm
#align set.preimage_const_sub_Iic Set.preimage_const_sub_Iic
@[simp]
theorem preimage_const_sub_Ioi : (fun x => a - x) ⁻¹' Ioi b = Iio (a - b) :=
ext fun _x => lt_sub_comm
#align set.preimage_const_sub_Ioi Set.preimage_const_sub_Ioi
@[simp]
theorem preimage_const_sub_Iio : (fun x => a - x) ⁻¹' Iio b = Ioi (a - b) :=
ext fun _x => sub_lt_comm
#align set.preimage_const_sub_Iio Set.preimage_const_sub_Iio
@[simp]
theorem preimage_const_sub_Icc : (fun x => a - x) ⁻¹' Icc b c = Icc (a - c) (a - b) := by
simp [← Ici_inter_Iic, inter_comm]
#align set.preimage_const_sub_Icc Set.preimage_const_sub_Icc
@[simp]
theorem preimage_const_sub_Ico : (fun x => a - x) ⁻¹' Ico b c = Ioc (a - c) (a - b) := by
simp [← Ioi_inter_Iic, ← Ici_inter_Iio, inter_comm]
#align set.preimage_const_sub_Ico Set.preimage_const_sub_Ico
@[simp]
theorem preimage_const_sub_Ioc : (fun x => a - x) ⁻¹' Ioc b c = Ico (a - c) (a - b) := by
simp [← Ioi_inter_Iic, ← Ici_inter_Iio, inter_comm]
#align set.preimage_const_sub_Ioc Set.preimage_const_sub_Ioc
@[simp]
theorem preimage_const_sub_Ioo : (fun x => a - x) ⁻¹' Ioo b c = Ioo (a - c) (a - b) := by
simp [← Ioi_inter_Iio, inter_comm]
#align set.preimage_const_sub_Ioo Set.preimage_const_sub_Ioo
-- @[simp] -- Porting note (#10618): simp can prove this modulo `add_comm`
theorem image_const_add_Iic : (fun x => a + x) '' Iic b = Iic (a + b) := by simp [add_comm]
#align set.image_const_add_Iic Set.image_const_add_Iic
-- @[simp] -- Porting note (#10618): simp can prove this modulo `add_comm`
theorem image_const_add_Iio : (fun x => a + x) '' Iio b = Iio (a + b) := by simp [add_comm]
#align set.image_const_add_Iio Set.image_const_add_Iio
-- @[simp] -- Porting note (#10618): simp can prove this
theorem image_add_const_Iic : (fun x => x + a) '' Iic b = Iic (b + a) := by simp
#align set.image_add_const_Iic Set.image_add_const_Iic
-- @[simp] -- Porting note (#10618): simp can prove this
theorem image_add_const_Iio : (fun x => x + a) '' Iio b = Iio (b + a) := by simp
#align set.image_add_const_Iio Set.image_add_const_Iio
theorem image_neg_Ici : Neg.neg '' Ici a = Iic (-a) := by simp
#align set.image_neg_Ici Set.image_neg_Ici
theorem image_neg_Iic : Neg.neg '' Iic a = Ici (-a) := by simp
#align set.image_neg_Iic Set.image_neg_Iic
theorem image_neg_Ioi : Neg.neg '' Ioi a = Iio (-a) := by simp
#align set.image_neg_Ioi Set.image_neg_Ioi
theorem image_neg_Iio : Neg.neg '' Iio a = Ioi (-a) := by simp
#align set.image_neg_Iio Set.image_neg_Iio
theorem image_neg_Icc : Neg.neg '' Icc a b = Icc (-b) (-a) := by simp
#align set.image_neg_Icc Set.image_neg_Icc
theorem image_neg_Ico : Neg.neg '' Ico a b = Ioc (-b) (-a) := by simp
#align set.image_neg_Ico Set.image_neg_Ico
| Mathlib/Data/Set/Pointwise/Interval.lean | 393 | 393 | theorem image_neg_Ioc : Neg.neg '' Ioc a b = Ico (-b) (-a) := by | simp
|
import Mathlib.Data.Real.Basic
import Mathlib.Data.ENNReal.Real
import Mathlib.Data.Sign
#align_import data.real.ereal from "leanprover-community/mathlib"@"2196ab363eb097c008d4497125e0dde23fb36db2"
open Function ENNReal NNReal Set
noncomputable section
def EReal := WithBot (WithTop ℝ)
deriving Bot, Zero, One, Nontrivial, AddMonoid, PartialOrder
#align ereal EReal
instance : ZeroLEOneClass EReal := inferInstanceAs (ZeroLEOneClass (WithBot (WithTop ℝ)))
instance : SupSet EReal := inferInstanceAs (SupSet (WithBot (WithTop ℝ)))
instance : InfSet EReal := inferInstanceAs (InfSet (WithBot (WithTop ℝ)))
instance : CompleteLinearOrder EReal :=
inferInstanceAs (CompleteLinearOrder (WithBot (WithTop ℝ)))
instance : LinearOrderedAddCommMonoid EReal :=
inferInstanceAs (LinearOrderedAddCommMonoid (WithBot (WithTop ℝ)))
instance : AddCommMonoidWithOne EReal :=
inferInstanceAs (AddCommMonoidWithOne (WithBot (WithTop ℝ)))
instance : DenselyOrdered EReal :=
inferInstanceAs (DenselyOrdered (WithBot (WithTop ℝ)))
@[coe] def Real.toEReal : ℝ → EReal := some ∘ some
#align real.to_ereal Real.toEReal
namespace EReal
-- things unify with `WithBot.decidableLT` later if we don't provide this explicitly.
instance decidableLT : DecidableRel ((· < ·) : EReal → EReal → Prop) :=
WithBot.decidableLT
#align ereal.decidable_lt EReal.decidableLT
-- TODO: Provide explicitly, otherwise it is inferred noncomputably from `CompleteLinearOrder`
instance : Top EReal := ⟨some ⊤⟩
instance : Coe ℝ EReal := ⟨Real.toEReal⟩
theorem coe_strictMono : StrictMono Real.toEReal :=
WithBot.coe_strictMono.comp WithTop.coe_strictMono
#align ereal.coe_strict_mono EReal.coe_strictMono
theorem coe_injective : Injective Real.toEReal :=
coe_strictMono.injective
#align ereal.coe_injective EReal.coe_injective
@[simp, norm_cast]
protected theorem coe_le_coe_iff {x y : ℝ} : (x : EReal) ≤ (y : EReal) ↔ x ≤ y :=
coe_strictMono.le_iff_le
#align ereal.coe_le_coe_iff EReal.coe_le_coe_iff
@[simp, norm_cast]
protected theorem coe_lt_coe_iff {x y : ℝ} : (x : EReal) < (y : EReal) ↔ x < y :=
coe_strictMono.lt_iff_lt
#align ereal.coe_lt_coe_iff EReal.coe_lt_coe_iff
@[simp, norm_cast]
protected theorem coe_eq_coe_iff {x y : ℝ} : (x : EReal) = (y : EReal) ↔ x = y :=
coe_injective.eq_iff
#align ereal.coe_eq_coe_iff EReal.coe_eq_coe_iff
protected theorem coe_ne_coe_iff {x y : ℝ} : (x : EReal) ≠ (y : EReal) ↔ x ≠ y :=
coe_injective.ne_iff
#align ereal.coe_ne_coe_iff EReal.coe_ne_coe_iff
@[coe] def _root_.ENNReal.toEReal : ℝ≥0∞ → EReal
| ⊤ => ⊤
| .some x => x.1
#align ennreal.to_ereal ENNReal.toEReal
instance hasCoeENNReal : Coe ℝ≥0∞ EReal :=
⟨ENNReal.toEReal⟩
#align ereal.has_coe_ennreal EReal.hasCoeENNReal
instance : Inhabited EReal := ⟨0⟩
@[simp, norm_cast]
theorem coe_zero : ((0 : ℝ) : EReal) = 0 := rfl
#align ereal.coe_zero EReal.coe_zero
@[simp, norm_cast]
theorem coe_one : ((1 : ℝ) : EReal) = 1 := rfl
#align ereal.coe_one EReal.coe_one
@[elab_as_elim, induction_eliminator, cases_eliminator]
protected def rec {C : EReal → Sort*} (h_bot : C ⊥) (h_real : ∀ a : ℝ, C a) (h_top : C ⊤) :
∀ a : EReal, C a
| ⊥ => h_bot
| (a : ℝ) => h_real a
| ⊤ => h_top
#align ereal.rec EReal.rec
protected def mul : EReal → EReal → EReal
| ⊥, ⊥ => ⊤
| ⊥, ⊤ => ⊥
| ⊥, (y : ℝ) => if 0 < y then ⊥ else if y = 0 then 0 else ⊤
| ⊤, ⊥ => ⊥
| ⊤, ⊤ => ⊤
| ⊤, (y : ℝ) => if 0 < y then ⊤ else if y = 0 then 0 else ⊥
| (x : ℝ), ⊤ => if 0 < x then ⊤ else if x = 0 then 0 else ⊥
| (x : ℝ), ⊥ => if 0 < x then ⊥ else if x = 0 then 0 else ⊤
| (x : ℝ), (y : ℝ) => (x * y : ℝ)
#align ereal.mul EReal.mul
instance : Mul EReal := ⟨EReal.mul⟩
@[simp, norm_cast]
theorem coe_mul (x y : ℝ) : (↑(x * y) : EReal) = x * y :=
rfl
#align ereal.coe_mul EReal.coe_mul
@[elab_as_elim]
theorem induction₂ {P : EReal → EReal → Prop} (top_top : P ⊤ ⊤) (top_pos : ∀ x : ℝ, 0 < x → P ⊤ x)
(top_zero : P ⊤ 0) (top_neg : ∀ x : ℝ, x < 0 → P ⊤ x) (top_bot : P ⊤ ⊥)
(pos_top : ∀ x : ℝ, 0 < x → P x ⊤) (pos_bot : ∀ x : ℝ, 0 < x → P x ⊥) (zero_top : P 0 ⊤)
(coe_coe : ∀ x y : ℝ, P x y) (zero_bot : P 0 ⊥) (neg_top : ∀ x : ℝ, x < 0 → P x ⊤)
(neg_bot : ∀ x : ℝ, x < 0 → P x ⊥) (bot_top : P ⊥ ⊤) (bot_pos : ∀ x : ℝ, 0 < x → P ⊥ x)
(bot_zero : P ⊥ 0) (bot_neg : ∀ x : ℝ, x < 0 → P ⊥ x) (bot_bot : P ⊥ ⊥) : ∀ x y, P x y
| ⊥, ⊥ => bot_bot
| ⊥, (y : ℝ) => by
rcases lt_trichotomy y 0 with (hy | rfl | hy)
exacts [bot_neg y hy, bot_zero, bot_pos y hy]
| ⊥, ⊤ => bot_top
| (x : ℝ), ⊥ => by
rcases lt_trichotomy x 0 with (hx | rfl | hx)
exacts [neg_bot x hx, zero_bot, pos_bot x hx]
| (x : ℝ), (y : ℝ) => coe_coe _ _
| (x : ℝ), ⊤ => by
rcases lt_trichotomy x 0 with (hx | rfl | hx)
exacts [neg_top x hx, zero_top, pos_top x hx]
| ⊤, ⊥ => top_bot
| ⊤, (y : ℝ) => by
rcases lt_trichotomy y 0 with (hy | rfl | hy)
exacts [top_neg y hy, top_zero, top_pos y hy]
| ⊤, ⊤ => top_top
#align ereal.induction₂ EReal.induction₂
@[elab_as_elim]
theorem induction₂_symm {P : EReal → EReal → Prop} (symm : ∀ {x y}, P x y → P y x)
(top_top : P ⊤ ⊤) (top_pos : ∀ x : ℝ, 0 < x → P ⊤ x) (top_zero : P ⊤ 0)
(top_neg : ∀ x : ℝ, x < 0 → P ⊤ x) (top_bot : P ⊤ ⊥) (pos_bot : ∀ x : ℝ, 0 < x → P x ⊥)
(coe_coe : ∀ x y : ℝ, P x y) (zero_bot : P 0 ⊥) (neg_bot : ∀ x : ℝ, x < 0 → P x ⊥)
(bot_bot : P ⊥ ⊥) : ∀ x y, P x y :=
@induction₂ P top_top top_pos top_zero top_neg top_bot (fun _ h => symm <| top_pos _ h)
pos_bot (symm top_zero) coe_coe zero_bot (fun _ h => symm <| top_neg _ h) neg_bot (symm top_bot)
(fun _ h => symm <| pos_bot _ h) (symm zero_bot) (fun _ h => symm <| neg_bot _ h) bot_bot
protected theorem mul_comm (x y : EReal) : x * y = y * x := by
induction' x with x <;> induction' y with y <;>
try { rfl }
rw [← coe_mul, ← coe_mul, mul_comm]
#align ereal.mul_comm EReal.mul_comm
protected theorem one_mul : ∀ x : EReal, 1 * x = x
| ⊤ => if_pos one_pos
| ⊥ => if_pos one_pos
| (x : ℝ) => congr_arg Real.toEReal (one_mul x)
protected theorem zero_mul : ∀ x : EReal, 0 * x = 0
| ⊤ => (if_neg (lt_irrefl _)).trans (if_pos rfl)
| ⊥ => (if_neg (lt_irrefl _)).trans (if_pos rfl)
| (x : ℝ) => congr_arg Real.toEReal (zero_mul x)
instance : MulZeroOneClass EReal where
one_mul := EReal.one_mul
mul_one := fun x => by rw [EReal.mul_comm, EReal.one_mul]
zero_mul := EReal.zero_mul
mul_zero := fun x => by rw [EReal.mul_comm, EReal.zero_mul]
instance canLift : CanLift EReal ℝ (↑) fun r => r ≠ ⊤ ∧ r ≠ ⊥ where
prf x hx := by
induction x
· simp at hx
· simp
· simp at hx
#align ereal.can_lift EReal.canLift
def toReal : EReal → ℝ
| ⊥ => 0
| ⊤ => 0
| (x : ℝ) => x
#align ereal.to_real EReal.toReal
@[simp]
theorem toReal_top : toReal ⊤ = 0 :=
rfl
#align ereal.to_real_top EReal.toReal_top
@[simp]
theorem toReal_bot : toReal ⊥ = 0 :=
rfl
#align ereal.to_real_bot EReal.toReal_bot
@[simp]
theorem toReal_zero : toReal 0 = 0 :=
rfl
#align ereal.to_real_zero EReal.toReal_zero
@[simp]
theorem toReal_one : toReal 1 = 1 :=
rfl
#align ereal.to_real_one EReal.toReal_one
@[simp]
theorem toReal_coe (x : ℝ) : toReal (x : EReal) = x :=
rfl
#align ereal.to_real_coe EReal.toReal_coe
@[simp]
theorem bot_lt_coe (x : ℝ) : (⊥ : EReal) < x :=
WithBot.bot_lt_coe _
#align ereal.bot_lt_coe EReal.bot_lt_coe
@[simp]
theorem coe_ne_bot (x : ℝ) : (x : EReal) ≠ ⊥ :=
(bot_lt_coe x).ne'
#align ereal.coe_ne_bot EReal.coe_ne_bot
@[simp]
theorem bot_ne_coe (x : ℝ) : (⊥ : EReal) ≠ x :=
(bot_lt_coe x).ne
#align ereal.bot_ne_coe EReal.bot_ne_coe
@[simp]
theorem coe_lt_top (x : ℝ) : (x : EReal) < ⊤ :=
WithBot.coe_lt_coe.2 <| WithTop.coe_lt_top _
#align ereal.coe_lt_top EReal.coe_lt_top
@[simp]
theorem coe_ne_top (x : ℝ) : (x : EReal) ≠ ⊤ :=
(coe_lt_top x).ne
#align ereal.coe_ne_top EReal.coe_ne_top
@[simp]
theorem top_ne_coe (x : ℝ) : (⊤ : EReal) ≠ x :=
(coe_lt_top x).ne'
#align ereal.top_ne_coe EReal.top_ne_coe
@[simp]
theorem bot_lt_zero : (⊥ : EReal) < 0 :=
bot_lt_coe 0
#align ereal.bot_lt_zero EReal.bot_lt_zero
@[simp]
theorem bot_ne_zero : (⊥ : EReal) ≠ 0 :=
(coe_ne_bot 0).symm
#align ereal.bot_ne_zero EReal.bot_ne_zero
@[simp]
theorem zero_ne_bot : (0 : EReal) ≠ ⊥ :=
coe_ne_bot 0
#align ereal.zero_ne_bot EReal.zero_ne_bot
@[simp]
theorem zero_lt_top : (0 : EReal) < ⊤ :=
coe_lt_top 0
#align ereal.zero_lt_top EReal.zero_lt_top
@[simp]
theorem zero_ne_top : (0 : EReal) ≠ ⊤ :=
coe_ne_top 0
#align ereal.zero_ne_top EReal.zero_ne_top
@[simp]
theorem top_ne_zero : (⊤ : EReal) ≠ 0 :=
(coe_ne_top 0).symm
#align ereal.top_ne_zero EReal.top_ne_zero
theorem range_coe : range Real.toEReal = {⊥, ⊤}ᶜ := by
ext x
induction x <;> simp
theorem range_coe_eq_Ioo : range Real.toEReal = Ioo ⊥ ⊤ := by
ext x
induction x <;> simp
@[simp, norm_cast]
theorem coe_add (x y : ℝ) : (↑(x + y) : EReal) = x + y :=
rfl
#align ereal.coe_add EReal.coe_add
-- `coe_mul` moved up
@[norm_cast]
theorem coe_nsmul (n : ℕ) (x : ℝ) : (↑(n • x) : EReal) = n • (x : EReal) :=
map_nsmul (⟨⟨Real.toEReal, coe_zero⟩, coe_add⟩ : ℝ →+ EReal) _ _
#align ereal.coe_nsmul EReal.coe_nsmul
#noalign ereal.coe_bit0
#noalign ereal.coe_bit1
@[simp, norm_cast]
theorem coe_eq_zero {x : ℝ} : (x : EReal) = 0 ↔ x = 0 :=
EReal.coe_eq_coe_iff
#align ereal.coe_eq_zero EReal.coe_eq_zero
@[simp, norm_cast]
theorem coe_eq_one {x : ℝ} : (x : EReal) = 1 ↔ x = 1 :=
EReal.coe_eq_coe_iff
#align ereal.coe_eq_one EReal.coe_eq_one
theorem coe_ne_zero {x : ℝ} : (x : EReal) ≠ 0 ↔ x ≠ 0 :=
EReal.coe_ne_coe_iff
#align ereal.coe_ne_zero EReal.coe_ne_zero
theorem coe_ne_one {x : ℝ} : (x : EReal) ≠ 1 ↔ x ≠ 1 :=
EReal.coe_ne_coe_iff
#align ereal.coe_ne_one EReal.coe_ne_one
@[simp, norm_cast]
protected theorem coe_nonneg {x : ℝ} : (0 : EReal) ≤ x ↔ 0 ≤ x :=
EReal.coe_le_coe_iff
#align ereal.coe_nonneg EReal.coe_nonneg
@[simp, norm_cast]
protected theorem coe_nonpos {x : ℝ} : (x : EReal) ≤ 0 ↔ x ≤ 0 :=
EReal.coe_le_coe_iff
#align ereal.coe_nonpos EReal.coe_nonpos
@[simp, norm_cast]
protected theorem coe_pos {x : ℝ} : (0 : EReal) < x ↔ 0 < x :=
EReal.coe_lt_coe_iff
#align ereal.coe_pos EReal.coe_pos
@[simp, norm_cast]
protected theorem coe_neg' {x : ℝ} : (x : EReal) < 0 ↔ x < 0 :=
EReal.coe_lt_coe_iff
#align ereal.coe_neg' EReal.coe_neg'
theorem toReal_le_toReal {x y : EReal} (h : x ≤ y) (hx : x ≠ ⊥) (hy : y ≠ ⊤) :
x.toReal ≤ y.toReal := by
lift x to ℝ using ⟨ne_top_of_le_ne_top hy h, hx⟩
lift y to ℝ using ⟨hy, ne_bot_of_le_ne_bot hx h⟩
simpa using h
#align ereal.to_real_le_to_real EReal.toReal_le_toReal
theorem coe_toReal {x : EReal} (hx : x ≠ ⊤) (h'x : x ≠ ⊥) : (x.toReal : EReal) = x := by
lift x to ℝ using ⟨hx, h'x⟩
rfl
#align ereal.coe_to_real EReal.coe_toReal
theorem le_coe_toReal {x : EReal} (h : x ≠ ⊤) : x ≤ x.toReal := by
by_cases h' : x = ⊥
· simp only [h', bot_le]
· simp only [le_refl, coe_toReal h h']
#align ereal.le_coe_to_real EReal.le_coe_toReal
theorem coe_toReal_le {x : EReal} (h : x ≠ ⊥) : ↑x.toReal ≤ x := by
by_cases h' : x = ⊤
· simp only [h', le_top]
· simp only [le_refl, coe_toReal h' h]
#align ereal.coe_to_real_le EReal.coe_toReal_le
theorem eq_top_iff_forall_lt (x : EReal) : x = ⊤ ↔ ∀ y : ℝ, (y : EReal) < x := by
constructor
· rintro rfl
exact EReal.coe_lt_top
· contrapose!
intro h
exact ⟨x.toReal, le_coe_toReal h⟩
#align ereal.eq_top_iff_forall_lt EReal.eq_top_iff_forall_lt
theorem eq_bot_iff_forall_lt (x : EReal) : x = ⊥ ↔ ∀ y : ℝ, x < (y : EReal) := by
constructor
· rintro rfl
exact bot_lt_coe
· contrapose!
intro h
exact ⟨x.toReal, coe_toReal_le h⟩
#align ereal.eq_bot_iff_forall_lt EReal.eq_bot_iff_forall_lt
lemma exists_between_coe_real {x z : EReal} (h : x < z) : ∃ y : ℝ, x < y ∧ y < z := by
obtain ⟨a, ha₁, ha₂⟩ := exists_between h
induction a with
| h_bot => exact (not_lt_bot ha₁).elim
| h_real a₀ => exact ⟨a₀, ha₁, ha₂⟩
| h_top => exact (not_top_lt ha₂).elim
@[simp]
lemma image_coe_Icc (x y : ℝ) : Real.toEReal '' Icc x y = Icc ↑x ↑y := by
refine (image_comp WithBot.some WithTop.some _).trans ?_
rw [WithTop.image_coe_Icc, WithBot.image_coe_Icc]
rfl
@[simp]
lemma image_coe_Ico (x y : ℝ) : Real.toEReal '' Ico x y = Ico ↑x ↑y := by
refine (image_comp WithBot.some WithTop.some _).trans ?_
rw [WithTop.image_coe_Ico, WithBot.image_coe_Ico]
rfl
@[simp]
lemma image_coe_Ici (x : ℝ) : Real.toEReal '' Ici x = Ico ↑x ⊤ := by
refine (image_comp WithBot.some WithTop.some _).trans ?_
rw [WithTop.image_coe_Ici, WithBot.image_coe_Ico]
rfl
@[simp]
lemma image_coe_Ioc (x y : ℝ) : Real.toEReal '' Ioc x y = Ioc ↑x ↑y := by
refine (image_comp WithBot.some WithTop.some _).trans ?_
rw [WithTop.image_coe_Ioc, WithBot.image_coe_Ioc]
rfl
@[simp]
lemma image_coe_Ioo (x y : ℝ) : Real.toEReal '' Ioo x y = Ioo ↑x ↑y := by
refine (image_comp WithBot.some WithTop.some _).trans ?_
rw [WithTop.image_coe_Ioo, WithBot.image_coe_Ioo]
rfl
@[simp]
lemma image_coe_Ioi (x : ℝ) : Real.toEReal '' Ioi x = Ioo ↑x ⊤ := by
refine (image_comp WithBot.some WithTop.some _).trans ?_
rw [WithTop.image_coe_Ioi, WithBot.image_coe_Ioo]
rfl
@[simp]
lemma image_coe_Iic (x : ℝ) : Real.toEReal '' Iic x = Ioc ⊥ ↑x := by
refine (image_comp WithBot.some WithTop.some _).trans ?_
rw [WithTop.image_coe_Iic, WithBot.image_coe_Iic]
rfl
@[simp]
lemma image_coe_Iio (x : ℝ) : Real.toEReal '' Iio x = Ioo ⊥ ↑x := by
refine (image_comp WithBot.some WithTop.some _).trans ?_
rw [WithTop.image_coe_Iio, WithBot.image_coe_Iio]
rfl
@[simp]
lemma preimage_coe_Ici (x : ℝ) : Real.toEReal ⁻¹' Ici x = Ici x := by
change (WithBot.some ∘ WithTop.some) ⁻¹' (Ici (WithBot.some (WithTop.some x))) = _
refine preimage_comp.trans ?_
simp only [WithBot.preimage_coe_Ici, WithTop.preimage_coe_Ici]
@[simp]
lemma preimage_coe_Ioi (x : ℝ) : Real.toEReal ⁻¹' Ioi x = Ioi x := by
change (WithBot.some ∘ WithTop.some) ⁻¹' (Ioi (WithBot.some (WithTop.some x))) = _
refine preimage_comp.trans ?_
simp only [WithBot.preimage_coe_Ioi, WithTop.preimage_coe_Ioi]
@[simp]
lemma preimage_coe_Ioi_bot : Real.toEReal ⁻¹' Ioi ⊥ = univ := by
change (WithBot.some ∘ WithTop.some) ⁻¹' (Ioi ⊥) = _
refine preimage_comp.trans ?_
simp only [WithBot.preimage_coe_Ioi_bot, preimage_univ]
@[simp]
lemma preimage_coe_Iic (y : ℝ) : Real.toEReal ⁻¹' Iic y = Iic y := by
change (WithBot.some ∘ WithTop.some) ⁻¹' (Iic (WithBot.some (WithTop.some y))) = _
refine preimage_comp.trans ?_
simp only [WithBot.preimage_coe_Iic, WithTop.preimage_coe_Iic]
@[simp]
lemma preimage_coe_Iio (y : ℝ) : Real.toEReal ⁻¹' Iio y = Iio y := by
change (WithBot.some ∘ WithTop.some) ⁻¹' (Iio (WithBot.some (WithTop.some y))) = _
refine preimage_comp.trans ?_
simp only [WithBot.preimage_coe_Iio, WithTop.preimage_coe_Iio]
@[simp]
lemma preimage_coe_Iio_top : Real.toEReal ⁻¹' Iio ⊤ = univ := by
change (WithBot.some ∘ WithTop.some) ⁻¹' (Iio (WithBot.some ⊤)) = _
refine preimage_comp.trans ?_
simp only [WithBot.preimage_coe_Iio, WithTop.preimage_coe_Iio_top]
@[simp]
lemma preimage_coe_Icc (x y : ℝ) : Real.toEReal ⁻¹' Icc x y = Icc x y := by
simp_rw [← Ici_inter_Iic]
simp
@[simp]
lemma preimage_coe_Ico (x y : ℝ) : Real.toEReal ⁻¹' Ico x y = Ico x y := by
simp_rw [← Ici_inter_Iio]
simp
@[simp]
lemma preimage_coe_Ioc (x y : ℝ) : Real.toEReal ⁻¹' Ioc x y = Ioc x y := by
simp_rw [← Ioi_inter_Iic]
simp
@[simp]
lemma preimage_coe_Ioo (x y : ℝ) : Real.toEReal ⁻¹' Ioo x y = Ioo x y := by
simp_rw [← Ioi_inter_Iio]
simp
@[simp]
lemma preimage_coe_Ico_top (x : ℝ) : Real.toEReal ⁻¹' Ico x ⊤ = Ici x := by
rw [← Ici_inter_Iio]
simp
@[simp]
lemma preimage_coe_Ioo_top (x : ℝ) : Real.toEReal ⁻¹' Ioo x ⊤ = Ioi x := by
rw [← Ioi_inter_Iio]
simp
@[simp]
lemma preimage_coe_Ioc_bot (y : ℝ) : Real.toEReal ⁻¹' Ioc ⊥ y = Iic y := by
rw [← Ioi_inter_Iic]
simp
@[simp]
lemma preimage_coe_Ioo_bot (y : ℝ) : Real.toEReal ⁻¹' Ioo ⊥ y = Iio y := by
rw [← Ioi_inter_Iio]
simp
@[simp]
lemma preimage_coe_Ioo_bot_top : Real.toEReal ⁻¹' Ioo ⊥ ⊤ = univ := by
rw [← Ioi_inter_Iio]
simp
@[simp]
theorem toReal_coe_ennreal : ∀ {x : ℝ≥0∞}, toReal (x : EReal) = ENNReal.toReal x
| ⊤ => rfl
| .some _ => rfl
#align ereal.to_real_coe_ennreal EReal.toReal_coe_ennreal
@[simp]
theorem coe_ennreal_ofReal {x : ℝ} : (ENNReal.ofReal x : EReal) = max x 0 :=
rfl
#align ereal.coe_ennreal_of_real EReal.coe_ennreal_ofReal
theorem coe_nnreal_eq_coe_real (x : ℝ≥0) : ((x : ℝ≥0∞) : EReal) = (x : ℝ) :=
rfl
#align ereal.coe_nnreal_eq_coe_real EReal.coe_nnreal_eq_coe_real
@[simp, norm_cast]
theorem coe_ennreal_zero : ((0 : ℝ≥0∞) : EReal) = 0 :=
rfl
#align ereal.coe_ennreal_zero EReal.coe_ennreal_zero
@[simp, norm_cast]
theorem coe_ennreal_one : ((1 : ℝ≥0∞) : EReal) = 1 :=
rfl
#align ereal.coe_ennreal_one EReal.coe_ennreal_one
@[simp, norm_cast]
theorem coe_ennreal_top : ((⊤ : ℝ≥0∞) : EReal) = ⊤ :=
rfl
#align ereal.coe_ennreal_top EReal.coe_ennreal_top
theorem coe_ennreal_strictMono : StrictMono ((↑) : ℝ≥0∞ → EReal) :=
WithTop.strictMono_iff.2 ⟨fun _ _ => EReal.coe_lt_coe_iff.2, fun _ => coe_lt_top _⟩
#align ereal.coe_ennreal_strict_mono EReal.coe_ennreal_strictMono
theorem coe_ennreal_injective : Injective ((↑) : ℝ≥0∞ → EReal) :=
coe_ennreal_strictMono.injective
#align ereal.coe_ennreal_injective EReal.coe_ennreal_injective
@[simp]
theorem coe_ennreal_eq_top_iff {x : ℝ≥0∞} : (x : EReal) = ⊤ ↔ x = ⊤ :=
coe_ennreal_injective.eq_iff' rfl
#align ereal.coe_ennreal_eq_top_iff EReal.coe_ennreal_eq_top_iff
theorem coe_nnreal_ne_top (x : ℝ≥0) : ((x : ℝ≥0∞) : EReal) ≠ ⊤ := coe_ne_top x
#align ereal.coe_nnreal_ne_top EReal.coe_nnreal_ne_top
@[simp]
theorem coe_nnreal_lt_top (x : ℝ≥0) : ((x : ℝ≥0∞) : EReal) < ⊤ := coe_lt_top x
#align ereal.coe_nnreal_lt_top EReal.coe_nnreal_lt_top
@[simp, norm_cast]
theorem coe_ennreal_le_coe_ennreal_iff {x y : ℝ≥0∞} : (x : EReal) ≤ (y : EReal) ↔ x ≤ y :=
coe_ennreal_strictMono.le_iff_le
#align ereal.coe_ennreal_le_coe_ennreal_iff EReal.coe_ennreal_le_coe_ennreal_iff
@[simp, norm_cast]
theorem coe_ennreal_lt_coe_ennreal_iff {x y : ℝ≥0∞} : (x : EReal) < (y : EReal) ↔ x < y :=
coe_ennreal_strictMono.lt_iff_lt
#align ereal.coe_ennreal_lt_coe_ennreal_iff EReal.coe_ennreal_lt_coe_ennreal_iff
@[simp, norm_cast]
theorem coe_ennreal_eq_coe_ennreal_iff {x y : ℝ≥0∞} : (x : EReal) = (y : EReal) ↔ x = y :=
coe_ennreal_injective.eq_iff
#align ereal.coe_ennreal_eq_coe_ennreal_iff EReal.coe_ennreal_eq_coe_ennreal_iff
theorem coe_ennreal_ne_coe_ennreal_iff {x y : ℝ≥0∞} : (x : EReal) ≠ (y : EReal) ↔ x ≠ y :=
coe_ennreal_injective.ne_iff
#align ereal.coe_ennreal_ne_coe_ennreal_iff EReal.coe_ennreal_ne_coe_ennreal_iff
@[simp, norm_cast]
theorem coe_ennreal_eq_zero {x : ℝ≥0∞} : (x : EReal) = 0 ↔ x = 0 := by
rw [← coe_ennreal_eq_coe_ennreal_iff, coe_ennreal_zero]
#align ereal.coe_ennreal_eq_zero EReal.coe_ennreal_eq_zero
@[simp, norm_cast]
theorem coe_ennreal_eq_one {x : ℝ≥0∞} : (x : EReal) = 1 ↔ x = 1 := by
rw [← coe_ennreal_eq_coe_ennreal_iff, coe_ennreal_one]
#align ereal.coe_ennreal_eq_one EReal.coe_ennreal_eq_one
@[norm_cast]
theorem coe_ennreal_ne_zero {x : ℝ≥0∞} : (x : EReal) ≠ 0 ↔ x ≠ 0 :=
coe_ennreal_eq_zero.not
#align ereal.coe_ennreal_ne_zero EReal.coe_ennreal_ne_zero
@[norm_cast]
theorem coe_ennreal_ne_one {x : ℝ≥0∞} : (x : EReal) ≠ 1 ↔ x ≠ 1 :=
coe_ennreal_eq_one.not
#align ereal.coe_ennreal_ne_one EReal.coe_ennreal_ne_one
theorem coe_ennreal_nonneg (x : ℝ≥0∞) : (0 : EReal) ≤ x :=
coe_ennreal_le_coe_ennreal_iff.2 (zero_le x)
#align ereal.coe_ennreal_nonneg EReal.coe_ennreal_nonneg
@[simp] theorem range_coe_ennreal : range ((↑) : ℝ≥0∞ → EReal) = Set.Ici 0 :=
Subset.antisymm (range_subset_iff.2 coe_ennreal_nonneg) fun x => match x with
| ⊥ => fun h => absurd h bot_lt_zero.not_le
| ⊤ => fun _ => ⟨⊤, rfl⟩
| (x : ℝ) => fun h => ⟨.some ⟨x, EReal.coe_nonneg.1 h⟩, rfl⟩
instance : CanLift EReal ℝ≥0∞ (↑) (0 ≤ ·) := ⟨range_coe_ennreal.ge⟩
@[simp, norm_cast]
theorem coe_ennreal_pos {x : ℝ≥0∞} : (0 : EReal) < x ↔ 0 < x := by
rw [← coe_ennreal_zero, coe_ennreal_lt_coe_ennreal_iff]
#align ereal.coe_ennreal_pos EReal.coe_ennreal_pos
@[simp]
theorem bot_lt_coe_ennreal (x : ℝ≥0∞) : (⊥ : EReal) < x :=
(bot_lt_coe 0).trans_le (coe_ennreal_nonneg _)
#align ereal.bot_lt_coe_ennreal EReal.bot_lt_coe_ennreal
@[simp]
theorem coe_ennreal_ne_bot (x : ℝ≥0∞) : (x : EReal) ≠ ⊥ :=
(bot_lt_coe_ennreal x).ne'
#align ereal.coe_ennreal_ne_bot EReal.coe_ennreal_ne_bot
@[simp, norm_cast]
theorem coe_ennreal_add (x y : ENNReal) : ((x + y : ℝ≥0∞) : EReal) = x + y := by
cases x <;> cases y <;> rfl
#align ereal.coe_ennreal_add EReal.coe_ennreal_add
private theorem coe_ennreal_top_mul (x : ℝ≥0) : ((⊤ * x : ℝ≥0∞) : EReal) = ⊤ * x := by
rcases eq_or_ne x 0 with (rfl | h0)
· simp
· rw [ENNReal.top_mul (ENNReal.coe_ne_zero.2 h0)]
exact Eq.symm <| if_pos <| NNReal.coe_pos.2 h0.bot_lt
@[simp, norm_cast]
theorem coe_ennreal_mul : ∀ x y : ℝ≥0∞, ((x * y : ℝ≥0∞) : EReal) = (x : EReal) * y
| ⊤, ⊤ => rfl
| ⊤, (y : ℝ≥0) => coe_ennreal_top_mul y
| (x : ℝ≥0), ⊤ => by
rw [mul_comm, coe_ennreal_top_mul, EReal.mul_comm, coe_ennreal_top]
| (x : ℝ≥0), (y : ℝ≥0) => by
simp only [← ENNReal.coe_mul, coe_nnreal_eq_coe_real, NNReal.coe_mul, EReal.coe_mul]
#align ereal.coe_ennreal_mul EReal.coe_ennreal_mul
@[norm_cast]
theorem coe_ennreal_nsmul (n : ℕ) (x : ℝ≥0∞) : (↑(n • x) : EReal) = n • (x : EReal) :=
map_nsmul (⟨⟨(↑), coe_ennreal_zero⟩, coe_ennreal_add⟩ : ℝ≥0∞ →+ EReal) _ _
#align ereal.coe_ennreal_nsmul EReal.coe_ennreal_nsmul
#noalign ereal.coe_ennreal_bit0
#noalign ereal.coe_ennreal_bit1
theorem exists_rat_btwn_of_lt :
∀ {a b : EReal}, a < b → ∃ x : ℚ, a < (x : ℝ) ∧ ((x : ℝ) : EReal) < b
| ⊤, b, h => (not_top_lt h).elim
| (a : ℝ), ⊥, h => (lt_irrefl _ ((bot_lt_coe a).trans h)).elim
| (a : ℝ), (b : ℝ), h => by simp [exists_rat_btwn (EReal.coe_lt_coe_iff.1 h)]
| (a : ℝ), ⊤, _ =>
let ⟨b, hab⟩ := exists_rat_gt a
⟨b, by simpa using hab, coe_lt_top _⟩
| ⊥, ⊥, h => (lt_irrefl _ h).elim
| ⊥, (a : ℝ), _ =>
let ⟨b, hab⟩ := exists_rat_lt a
⟨b, bot_lt_coe _, by simpa using hab⟩
| ⊥, ⊤, _ => ⟨0, bot_lt_coe _, coe_lt_top _⟩
#align ereal.exists_rat_btwn_of_lt EReal.exists_rat_btwn_of_lt
theorem lt_iff_exists_rat_btwn {a b : EReal} :
a < b ↔ ∃ x : ℚ, a < (x : ℝ) ∧ ((x : ℝ) : EReal) < b :=
⟨fun hab => exists_rat_btwn_of_lt hab, fun ⟨_x, ax, xb⟩ => ax.trans xb⟩
#align ereal.lt_iff_exists_rat_btwn EReal.lt_iff_exists_rat_btwn
theorem lt_iff_exists_real_btwn {a b : EReal} : a < b ↔ ∃ x : ℝ, a < x ∧ (x : EReal) < b :=
⟨fun hab =>
let ⟨x, ax, xb⟩ := exists_rat_btwn_of_lt hab
⟨(x : ℝ), ax, xb⟩,
fun ⟨_x, ax, xb⟩ => ax.trans xb⟩
#align ereal.lt_iff_exists_real_btwn EReal.lt_iff_exists_real_btwn
def neTopBotEquivReal : ({⊥, ⊤}ᶜ : Set EReal) ≃ ℝ where
toFun x := EReal.toReal x
invFun x := ⟨x, by simp⟩
left_inv := fun ⟨x, hx⟩ => by
lift x to ℝ
· simpa [not_or, and_comm] using hx
· simp
right_inv x := by simp
#align ereal.ne_top_bot_equiv_real EReal.neTopBotEquivReal
@[simp]
theorem add_bot (x : EReal) : x + ⊥ = ⊥ :=
WithBot.add_bot _
#align ereal.add_bot EReal.add_bot
@[simp]
theorem bot_add (x : EReal) : ⊥ + x = ⊥ :=
WithBot.bot_add _
#align ereal.bot_add EReal.bot_add
@[simp]
theorem add_eq_bot_iff {x y : EReal} : x + y = ⊥ ↔ x = ⊥ ∨ y = ⊥ :=
WithBot.add_eq_bot
#align ereal.add_eq_bot_iff EReal.add_eq_bot_iff
@[simp]
theorem bot_lt_add_iff {x y : EReal} : ⊥ < x + y ↔ ⊥ < x ∧ ⊥ < y := by
simp [bot_lt_iff_ne_bot, not_or]
#align ereal.bot_lt_add_iff EReal.bot_lt_add_iff
@[simp]
theorem top_add_top : (⊤ : EReal) + ⊤ = ⊤ :=
rfl
#align ereal.top_add_top EReal.top_add_top
@[simp]
theorem top_add_coe (x : ℝ) : (⊤ : EReal) + x = ⊤ :=
rfl
#align ereal.top_add_coe EReal.top_add_coe
@[simp]
theorem coe_add_top (x : ℝ) : (x : EReal) + ⊤ = ⊤ :=
rfl
#align ereal.coe_add_top EReal.coe_add_top
theorem toReal_add {x y : EReal} (hx : x ≠ ⊤) (h'x : x ≠ ⊥) (hy : y ≠ ⊤) (h'y : y ≠ ⊥) :
toReal (x + y) = toReal x + toReal y := by
lift x to ℝ using ⟨hx, h'x⟩
lift y to ℝ using ⟨hy, h'y⟩
rfl
#align ereal.to_real_add EReal.toReal_add
theorem addLECancellable_coe (x : ℝ) : AddLECancellable (x : EReal)
| _, ⊤, _ => le_top
| ⊥, _, _ => bot_le
| ⊤, (z : ℝ), h => by simp only [coe_add_top, ← coe_add, top_le_iff, coe_ne_top] at h
| _, ⊥, h => by simpa using h
| (y : ℝ), (z : ℝ), h => by
simpa only [← coe_add, EReal.coe_le_coe_iff, add_le_add_iff_left] using h
-- Porting note (#11215): TODO: add `MulLECancellable.strictMono*` etc
theorem add_lt_add_right_coe {x y : EReal} (h : x < y) (z : ℝ) : x + z < y + z :=
not_le.1 <| mt (addLECancellable_coe z).add_le_add_iff_right.1 h.not_le
#align ereal.add_lt_add_right_coe EReal.add_lt_add_right_coe
theorem add_lt_add_left_coe {x y : EReal} (h : x < y) (z : ℝ) : (z : EReal) + x < z + y := by
simpa [add_comm] using add_lt_add_right_coe h z
#align ereal.add_lt_add_left_coe EReal.add_lt_add_left_coe
theorem add_lt_add {x y z t : EReal} (h1 : x < y) (h2 : z < t) : x + z < y + t := by
rcases eq_or_ne x ⊥ with (rfl | hx)
· simp [h1, bot_le.trans_lt h2]
· lift x to ℝ using ⟨h1.ne_top, hx⟩
calc (x : EReal) + z < x + t := add_lt_add_left_coe h2 _
_ ≤ y + t := add_le_add_right h1.le _
#align ereal.add_lt_add EReal.add_lt_add
theorem add_lt_add_of_lt_of_le' {x y z t : EReal} (h : x < y) (h' : z ≤ t) (hbot : t ≠ ⊥)
(htop : t = ⊤ → z = ⊤ → x = ⊥) : x + z < y + t := by
rcases h'.eq_or_lt with (rfl | hlt)
· rcases eq_or_ne z ⊤ with (rfl | hz)
· obtain rfl := htop rfl rfl
simpa
lift z to ℝ using ⟨hz, hbot⟩
exact add_lt_add_right_coe h z
· exact add_lt_add h hlt
theorem add_lt_add_of_lt_of_le {x y z t : EReal} (h : x < y) (h' : z ≤ t) (hz : z ≠ ⊥)
(ht : t ≠ ⊤) : x + z < y + t :=
add_lt_add_of_lt_of_le' h h' (ne_bot_of_le_ne_bot hz h') fun ht' => (ht ht').elim
#align ereal.add_lt_add_of_lt_of_le EReal.add_lt_add_of_lt_of_le
theorem add_lt_top {x y : EReal} (hx : x ≠ ⊤) (hy : y ≠ ⊤) : x + y < ⊤ := by
rw [← EReal.top_add_top]
exact EReal.add_lt_add hx.lt_top hy.lt_top
#align ereal.add_lt_top EReal.add_lt_top
instance : LinearOrderedAddCommMonoidWithTop ERealᵒᵈ where
le_top := by simp
top_add' := by
rw [OrderDual.forall]
intro x
rw [← OrderDual.toDual_bot, ← toDual_add, bot_add, OrderDual.toDual_bot]
protected def neg : EReal → EReal
| ⊥ => ⊤
| ⊤ => ⊥
| (x : ℝ) => (-x : ℝ)
#align ereal.neg EReal.neg
instance : Neg EReal := ⟨EReal.neg⟩
instance : SubNegZeroMonoid EReal where
neg_zero := congr_arg Real.toEReal neg_zero
zsmul := zsmulRec
@[simp]
theorem neg_top : -(⊤ : EReal) = ⊥ :=
rfl
#align ereal.neg_top EReal.neg_top
@[simp]
theorem neg_bot : -(⊥ : EReal) = ⊤ :=
rfl
#align ereal.neg_bot EReal.neg_bot
@[simp, norm_cast] theorem coe_neg (x : ℝ) : (↑(-x) : EReal) = -↑x := rfl
#align ereal.coe_neg EReal.coe_neg
#align ereal.neg_def EReal.coe_neg
@[simp, norm_cast] theorem coe_sub (x y : ℝ) : (↑(x - y) : EReal) = x - y := rfl
#align ereal.coe_sub EReal.coe_sub
@[norm_cast]
theorem coe_zsmul (n : ℤ) (x : ℝ) : (↑(n • x) : EReal) = n • (x : EReal) :=
map_zsmul' (⟨⟨(↑), coe_zero⟩, coe_add⟩ : ℝ →+ EReal) coe_neg _ _
#align ereal.coe_zsmul EReal.coe_zsmul
instance : InvolutiveNeg EReal where
neg_neg a :=
match a with
| ⊥ => rfl
| ⊤ => rfl
| (a : ℝ) => congr_arg Real.toEReal (neg_neg a)
@[simp]
theorem toReal_neg : ∀ {a : EReal}, toReal (-a) = -toReal a
| ⊤ => by simp
| ⊥ => by simp
| (x : ℝ) => rfl
#align ereal.to_real_neg EReal.toReal_neg
@[simp]
theorem neg_eq_top_iff {x : EReal} : -x = ⊤ ↔ x = ⊥ :=
neg_injective.eq_iff' rfl
#align ereal.neg_eq_top_iff EReal.neg_eq_top_iff
@[simp]
theorem neg_eq_bot_iff {x : EReal} : -x = ⊥ ↔ x = ⊤ :=
neg_injective.eq_iff' rfl
#align ereal.neg_eq_bot_iff EReal.neg_eq_bot_iff
@[simp]
theorem neg_eq_zero_iff {x : EReal} : -x = 0 ↔ x = 0 :=
neg_injective.eq_iff' neg_zero
#align ereal.neg_eq_zero_iff EReal.neg_eq_zero_iff
theorem neg_strictAnti : StrictAnti (- · : EReal → EReal) :=
WithBot.strictAnti_iff.2 ⟨WithTop.strictAnti_iff.2
⟨coe_strictMono.comp_strictAnti fun _ _ => neg_lt_neg, fun _ => bot_lt_coe _⟩,
WithTop.forall.2 ⟨bot_lt_top, fun _ => coe_lt_top _⟩⟩
@[simp] theorem neg_le_neg_iff {a b : EReal} : -a ≤ -b ↔ b ≤ a := neg_strictAnti.le_iff_le
#align ereal.neg_le_neg_iff EReal.neg_le_neg_iff
-- Porting note (#10756): new lemma
@[simp] theorem neg_lt_neg_iff {a b : EReal} : -a < -b ↔ b < a := neg_strictAnti.lt_iff_lt
protected theorem neg_le {a b : EReal} : -a ≤ b ↔ -b ≤ a := by
rw [← neg_le_neg_iff, neg_neg]
#align ereal.neg_le EReal.neg_le
protected theorem neg_le_of_neg_le {a b : EReal} (h : -a ≤ b) : -b ≤ a := EReal.neg_le.mp h
#align ereal.neg_le_of_neg_le EReal.neg_le_of_neg_le
theorem le_neg_of_le_neg {a b : EReal} (h : a ≤ -b) : b ≤ -a := by
rwa [← neg_neg b, EReal.neg_le, neg_neg]
#align ereal.le_neg_of_le_neg EReal.le_neg_of_le_neg
def negOrderIso : EReal ≃o ERealᵒᵈ :=
{ Equiv.neg EReal with
toFun := fun x => OrderDual.toDual (-x)
invFun := fun x => -OrderDual.ofDual x
map_rel_iff' := neg_le_neg_iff }
#align ereal.neg_order_iso EReal.negOrderIso
theorem neg_lt_iff_neg_lt {a b : EReal} : -a < b ↔ -b < a := by
rw [← neg_lt_neg_iff, neg_neg]
#align ereal.neg_lt_iff_neg_lt EReal.neg_lt_iff_neg_lt
theorem neg_lt_of_neg_lt {a b : EReal} (h : -a < b) : -b < a := neg_lt_iff_neg_lt.1 h
#align ereal.neg_lt_of_neg_lt EReal.neg_lt_of_neg_lt
@[simp]
theorem bot_sub (x : EReal) : ⊥ - x = ⊥ :=
bot_add x
#align ereal.bot_sub EReal.bot_sub
@[simp]
theorem sub_top (x : EReal) : x - ⊤ = ⊥ :=
add_bot x
#align ereal.sub_top EReal.sub_top
@[simp]
theorem top_sub_bot : (⊤ : EReal) - ⊥ = ⊤ :=
rfl
#align ereal.top_sub_bot EReal.top_sub_bot
@[simp]
theorem top_sub_coe (x : ℝ) : (⊤ : EReal) - x = ⊤ :=
rfl
#align ereal.top_sub_coe EReal.top_sub_coe
@[simp]
theorem coe_sub_bot (x : ℝ) : (x : EReal) - ⊥ = ⊤ :=
rfl
#align ereal.coe_sub_bot EReal.coe_sub_bot
theorem sub_le_sub {x y z t : EReal} (h : x ≤ y) (h' : t ≤ z) : x - z ≤ y - t :=
add_le_add h (neg_le_neg_iff.2 h')
#align ereal.sub_le_sub EReal.sub_le_sub
theorem sub_lt_sub_of_lt_of_le {x y z t : EReal} (h : x < y) (h' : z ≤ t) (hz : z ≠ ⊥)
(ht : t ≠ ⊤) : x - t < y - z :=
add_lt_add_of_lt_of_le h (neg_le_neg_iff.2 h') (by simp [ht]) (by simp [hz])
#align ereal.sub_lt_sub_of_lt_of_le EReal.sub_lt_sub_of_lt_of_le
theorem coe_real_ereal_eq_coe_toNNReal_sub_coe_toNNReal (x : ℝ) :
(x : EReal) = Real.toNNReal x - Real.toNNReal (-x) := by
rcases le_total 0 x with (h | h)
· lift x to ℝ≥0 using h
rw [Real.toNNReal_of_nonpos (neg_nonpos.mpr x.coe_nonneg), Real.toNNReal_coe, ENNReal.coe_zero,
coe_ennreal_zero, sub_zero]
rfl
· rw [Real.toNNReal_of_nonpos h, ENNReal.coe_zero, coe_ennreal_zero, coe_nnreal_eq_coe_real,
Real.coe_toNNReal, zero_sub, coe_neg, neg_neg]
exact neg_nonneg.2 h
#align ereal.coe_real_ereal_eq_coe_to_nnreal_sub_coe_to_nnreal EReal.coe_real_ereal_eq_coe_toNNReal_sub_coe_toNNReal
theorem toReal_sub {x y : EReal} (hx : x ≠ ⊤) (h'x : x ≠ ⊥) (hy : y ≠ ⊤) (h'y : y ≠ ⊥) :
toReal (x - y) = toReal x - toReal y := by
lift x to ℝ using ⟨hx, h'x⟩
lift y to ℝ using ⟨hy, h'y⟩
rfl
#align ereal.to_real_sub EReal.toReal_sub
@[simp] theorem top_mul_top : (⊤ : EReal) * ⊤ = ⊤ := rfl
#align ereal.top_mul_top EReal.top_mul_top
@[simp] theorem top_mul_bot : (⊤ : EReal) * ⊥ = ⊥ := rfl
#align ereal.top_mul_bot EReal.top_mul_bot
@[simp] theorem bot_mul_top : (⊥ : EReal) * ⊤ = ⊥ := rfl
#align ereal.bot_mul_top EReal.bot_mul_top
@[simp] theorem bot_mul_bot : (⊥ : EReal) * ⊥ = ⊤ := rfl
#align ereal.bot_mul_bot EReal.bot_mul_bot
theorem coe_mul_top_of_pos {x : ℝ} (h : 0 < x) : (x : EReal) * ⊤ = ⊤ :=
if_pos h
#align ereal.coe_mul_top_of_pos EReal.coe_mul_top_of_pos
theorem coe_mul_top_of_neg {x : ℝ} (h : x < 0) : (x : EReal) * ⊤ = ⊥ :=
(if_neg h.not_lt).trans (if_neg h.ne)
#align ereal.coe_mul_top_of_neg EReal.coe_mul_top_of_neg
theorem top_mul_coe_of_pos {x : ℝ} (h : 0 < x) : (⊤ : EReal) * x = ⊤ :=
if_pos h
#align ereal.top_mul_coe_of_pos EReal.top_mul_coe_of_pos
theorem top_mul_coe_of_neg {x : ℝ} (h : x < 0) : (⊤ : EReal) * x = ⊥ :=
(if_neg h.not_lt).trans (if_neg h.ne)
#align ereal.top_mul_coe_of_neg EReal.top_mul_coe_of_neg
theorem mul_top_of_pos : ∀ {x : EReal}, 0 < x → x * ⊤ = ⊤
| ⊥, h => absurd h not_lt_bot
| (x : ℝ), h => coe_mul_top_of_pos (EReal.coe_pos.1 h)
| ⊤, _ => rfl
#align ereal.mul_top_of_pos EReal.mul_top_of_pos
theorem mul_top_of_neg : ∀ {x : EReal}, x < 0 → x * ⊤ = ⊥
| ⊥, _ => rfl
| (x : ℝ), h => coe_mul_top_of_neg (EReal.coe_neg'.1 h)
| ⊤, h => absurd h not_top_lt
#align ereal.mul_top_of_neg EReal.mul_top_of_neg
theorem top_mul_of_pos {x : EReal} (h : 0 < x) : ⊤ * x = ⊤ := by
rw [EReal.mul_comm]
exact mul_top_of_pos h
#align ereal.top_mul_of_pos EReal.top_mul_of_pos
theorem top_mul_of_neg {x : EReal} (h : x < 0) : ⊤ * x = ⊥ := by
rw [EReal.mul_comm]
exact mul_top_of_neg h
#align ereal.top_mul_of_neg EReal.top_mul_of_neg
theorem coe_mul_bot_of_pos {x : ℝ} (h : 0 < x) : (x : EReal) * ⊥ = ⊥ :=
if_pos h
#align ereal.coe_mul_bot_of_pos EReal.coe_mul_bot_of_pos
theorem coe_mul_bot_of_neg {x : ℝ} (h : x < 0) : (x : EReal) * ⊥ = ⊤ :=
(if_neg h.not_lt).trans (if_neg h.ne)
#align ereal.coe_mul_bot_of_neg EReal.coe_mul_bot_of_neg
theorem bot_mul_coe_of_pos {x : ℝ} (h : 0 < x) : (⊥ : EReal) * x = ⊥ :=
if_pos h
#align ereal.bot_mul_coe_of_pos EReal.bot_mul_coe_of_pos
theorem bot_mul_coe_of_neg {x : ℝ} (h : x < 0) : (⊥ : EReal) * x = ⊤ :=
(if_neg h.not_lt).trans (if_neg h.ne)
#align ereal.bot_mul_coe_of_neg EReal.bot_mul_coe_of_neg
theorem mul_bot_of_pos : ∀ {x : EReal}, 0 < x → x * ⊥ = ⊥
| ⊥, h => absurd h not_lt_bot
| (x : ℝ), h => coe_mul_bot_of_pos (EReal.coe_pos.1 h)
| ⊤, _ => rfl
#align ereal.mul_bot_of_pos EReal.mul_bot_of_pos
theorem mul_bot_of_neg : ∀ {x : EReal}, x < 0 → x * ⊥ = ⊤
| ⊥, _ => rfl
| (x : ℝ), h => coe_mul_bot_of_neg (EReal.coe_neg'.1 h)
| ⊤, h => absurd h not_top_lt
#align ereal.mul_bot_of_neg EReal.mul_bot_of_neg
theorem bot_mul_of_pos {x : EReal} (h : 0 < x) : ⊥ * x = ⊥ := by
rw [EReal.mul_comm]
exact mul_bot_of_pos h
#align ereal.bot_mul_of_pos EReal.bot_mul_of_pos
theorem bot_mul_of_neg {x : EReal} (h : x < 0) : ⊥ * x = ⊤ := by
rw [EReal.mul_comm]
exact mul_bot_of_neg h
#align ereal.bot_mul_of_neg EReal.bot_mul_of_neg
theorem toReal_mul {x y : EReal} : toReal (x * y) = toReal x * toReal y := by
induction x, y using induction₂_symm with
| top_zero | zero_bot | top_top | top_bot | bot_bot => simp
| symm h => rwa [mul_comm, EReal.mul_comm]
| coe_coe => norm_cast
| top_pos _ h => simp [top_mul_coe_of_pos h]
| top_neg _ h => simp [top_mul_coe_of_neg h]
| pos_bot _ h => simp [coe_mul_bot_of_pos h]
| neg_bot _ h => simp [coe_mul_bot_of_neg h]
#align ereal.to_real_mul EReal.toReal_mul
@[elab_as_elim]
theorem induction₂_neg_left {P : EReal → EReal → Prop} (neg_left : ∀ {x y}, P x y → P (-x) y)
(top_top : P ⊤ ⊤) (top_pos : ∀ x : ℝ, 0 < x → P ⊤ x)
(top_zero : P ⊤ 0) (top_neg : ∀ x : ℝ, x < 0 → P ⊤ x) (top_bot : P ⊤ ⊥)
(zero_top : P 0 ⊤) (zero_bot : P 0 ⊥)
(pos_top : ∀ x : ℝ, 0 < x → P x ⊤) (pos_bot : ∀ x : ℝ, 0 < x → P x ⊥)
(coe_coe : ∀ x y : ℝ, P x y) : ∀ x y, P x y :=
have : ∀ y, (∀ x : ℝ, 0 < x → P x y) → ∀ x : ℝ, x < 0 → P x y := fun _ h x hx =>
neg_neg (x : EReal) ▸ neg_left <| h _ (neg_pos_of_neg hx)
@induction₂ P top_top top_pos top_zero top_neg top_bot pos_top pos_bot zero_top
coe_coe zero_bot (this _ pos_top) (this _ pos_bot) (neg_left top_top)
(fun x hx => neg_left <| top_pos x hx) (neg_left top_zero)
(fun x hx => neg_left <| top_neg x hx) (neg_left top_bot)
@[elab_as_elim]
theorem induction₂_symm_neg {P : EReal → EReal → Prop}
(symm : ∀ {x y}, P x y → P y x)
(neg_left : ∀ {x y}, P x y → P (-x) y) (top_top : P ⊤ ⊤)
(top_pos : ∀ x : ℝ, 0 < x → P ⊤ x) (top_zero : P ⊤ 0) (coe_coe : ∀ x y : ℝ, P x y) :
∀ x y, P x y :=
have neg_right : ∀ {x y}, P x y → P x (-y) := fun h => symm <| neg_left <| symm h
have : ∀ x, (∀ y : ℝ, 0 < y → P x y) → ∀ y : ℝ, y < 0 → P x y := fun _ h y hy =>
neg_neg (y : EReal) ▸ neg_right (h _ (neg_pos_of_neg hy))
@induction₂_neg_left P neg_left top_top top_pos top_zero (this _ top_pos) (neg_right top_top)
(symm top_zero) (symm <| neg_left top_zero) (fun x hx => symm <| top_pos x hx)
(fun x hx => symm <| neg_left <| top_pos x hx) coe_coe
protected theorem neg_mul (x y : EReal) : -x * y = -(x * y) := by
induction x, y using induction₂_neg_left with
| top_zero | zero_top | zero_bot => simp only [zero_mul, mul_zero, neg_zero]
| top_top | top_bot => rfl
| neg_left h => rw [h, neg_neg, neg_neg]
| coe_coe => norm_cast; exact neg_mul _ _
| top_pos _ h => rw [top_mul_coe_of_pos h, neg_top, bot_mul_coe_of_pos h]
| pos_top _ h => rw [coe_mul_top_of_pos h, neg_top, ← coe_neg,
coe_mul_top_of_neg (neg_neg_of_pos h)]
| top_neg _ h => rw [top_mul_coe_of_neg h, neg_top, bot_mul_coe_of_neg h, neg_bot]
| pos_bot _ h => rw [coe_mul_bot_of_pos h, neg_bot, ← coe_neg,
coe_mul_bot_of_neg (neg_neg_of_pos h)]
#align ereal.neg_mul EReal.neg_mul
instance : HasDistribNeg EReal where
neg_mul := EReal.neg_mul
mul_neg := fun x y => by
rw [x.mul_comm, x.mul_comm]
exact y.neg_mul x
-- Porting note (#11215): TODO: use `Real.nnabs` for the case `(x : ℝ)`
protected def abs : EReal → ℝ≥0∞
| ⊥ => ⊤
| ⊤ => ⊤
| (x : ℝ) => ENNReal.ofReal |x|
#align ereal.abs EReal.abs
@[simp] theorem abs_top : (⊤ : EReal).abs = ⊤ := rfl
#align ereal.abs_top EReal.abs_top
@[simp] theorem abs_bot : (⊥ : EReal).abs = ⊤ := rfl
#align ereal.abs_bot EReal.abs_bot
theorem abs_def (x : ℝ) : (x : EReal).abs = ENNReal.ofReal |x| := rfl
#align ereal.abs_def EReal.abs_def
theorem abs_coe_lt_top (x : ℝ) : (x : EReal).abs < ⊤ :=
ENNReal.ofReal_lt_top
#align ereal.abs_coe_lt_top EReal.abs_coe_lt_top
@[simp]
theorem abs_eq_zero_iff {x : EReal} : x.abs = 0 ↔ x = 0 := by
induction x
· simp only [abs_bot, ENNReal.top_ne_zero, bot_ne_zero]
· simp only [abs_def, coe_eq_zero, ENNReal.ofReal_eq_zero, abs_nonpos_iff]
· simp only [abs_top, ENNReal.top_ne_zero, top_ne_zero]
#align ereal.abs_eq_zero_iff EReal.abs_eq_zero_iff
@[simp]
theorem abs_zero : (0 : EReal).abs = 0 := by rw [abs_eq_zero_iff]
#align ereal.abs_zero EReal.abs_zero
@[simp]
theorem coe_abs (x : ℝ) : ((x : EReal).abs : EReal) = (|x| : ℝ) := by
rw [abs_def, ← Real.coe_nnabs, ENNReal.ofReal_coe_nnreal]; rfl
#align ereal.coe_abs EReal.coe_abs
@[simp]
protected theorem abs_neg : ∀ x : EReal, (-x).abs = x.abs
| ⊤ => rfl
| ⊥ => rfl
| (x : ℝ) => by rw [abs_def, ← coe_neg, abs_def, abs_neg]
@[simp]
theorem abs_mul (x y : EReal) : (x * y).abs = x.abs * y.abs := by
induction x, y using induction₂_symm_neg with
| top_zero => simp only [zero_mul, mul_zero, abs_zero]
| top_top => rfl
| symm h => rwa [mul_comm, EReal.mul_comm]
| coe_coe => simp only [← coe_mul, abs_def, _root_.abs_mul, ENNReal.ofReal_mul (abs_nonneg _)]
| top_pos _ h =>
rw [top_mul_coe_of_pos h, abs_top, ENNReal.top_mul]
rw [Ne, abs_eq_zero_iff, coe_eq_zero]
exact h.ne'
| neg_left h => rwa [neg_mul, EReal.abs_neg, EReal.abs_neg]
#align ereal.abs_mul EReal.abs_mul
open SignType (sign)
theorem sign_top : sign (⊤ : EReal) = 1 := rfl
#align ereal.sign_top EReal.sign_top
theorem sign_bot : sign (⊥ : EReal) = -1 := rfl
#align ereal.sign_bot EReal.sign_bot
@[simp]
theorem sign_coe (x : ℝ) : sign (x : EReal) = sign x := by
simp only [sign, OrderHom.coe_mk, EReal.coe_pos, EReal.coe_neg']
#align ereal.sign_coe EReal.sign_coe
@[simp, norm_cast]
theorem coe_coe_sign (x : SignType) : ((x : ℝ) : EReal) = x := by cases x <;> rfl
@[simp] theorem sign_neg : ∀ x : EReal, sign (-x) = -sign x
| ⊤ => rfl
| ⊥ => rfl
| (x : ℝ) => by rw [← coe_neg, sign_coe, sign_coe, Left.sign_neg]
@[simp]
| Mathlib/Data/Real/EReal.lean | 1,277 | 1,285 | theorem sign_mul (x y : EReal) : sign (x * y) = sign x * sign y := by |
induction x, y using induction₂_symm_neg with
| top_zero => simp only [zero_mul, mul_zero, sign_zero]
| top_top => rfl
| symm h => rwa [mul_comm, EReal.mul_comm]
| coe_coe => simp only [← coe_mul, sign_coe, _root_.sign_mul, ENNReal.ofReal_mul (abs_nonneg _)]
| top_pos _ h =>
rw [top_mul_coe_of_pos h, sign_top, one_mul, sign_pos (EReal.coe_pos.2 h)]
| neg_left h => rw [neg_mul, sign_neg, sign_neg, h, neg_mul]
|
import Mathlib.Analysis.Analytic.Composition
#align_import analysis.analytic.inverse from "leanprover-community/mathlib"@"284fdd2962e67d2932fa3a79ce19fcf92d38e228"
open scoped Classical Topology
open Finset Filter
namespace FormalMultilinearSeries
variable {𝕜 : Type*} [NontriviallyNormedField 𝕜] {E : Type*} [NormedAddCommGroup E]
[NormedSpace 𝕜 E] {F : Type*} [NormedAddCommGroup F] [NormedSpace 𝕜 F]
noncomputable def leftInv (p : FormalMultilinearSeries 𝕜 E F) (i : E ≃L[𝕜] F) :
FormalMultilinearSeries 𝕜 F E
| 0 => 0
| 1 => (continuousMultilinearCurryFin1 𝕜 F E).symm i.symm
| n + 2 =>
-∑ c : { c : Composition (n + 2) // c.length < n + 2 },
(leftInv p i (c : Composition (n + 2)).length).compAlongComposition
(p.compContinuousLinearMap i.symm) c
#align formal_multilinear_series.left_inv FormalMultilinearSeries.leftInv
@[simp]
theorem leftInv_coeff_zero (p : FormalMultilinearSeries 𝕜 E F) (i : E ≃L[𝕜] F) :
p.leftInv i 0 = 0 := by rw [leftInv]
#align formal_multilinear_series.left_inv_coeff_zero FormalMultilinearSeries.leftInv_coeff_zero
@[simp]
theorem leftInv_coeff_one (p : FormalMultilinearSeries 𝕜 E F) (i : E ≃L[𝕜] F) :
p.leftInv i 1 = (continuousMultilinearCurryFin1 𝕜 F E).symm i.symm := by rw [leftInv]
#align formal_multilinear_series.left_inv_coeff_one FormalMultilinearSeries.leftInv_coeff_one
theorem leftInv_removeZero (p : FormalMultilinearSeries 𝕜 E F) (i : E ≃L[𝕜] F) :
p.removeZero.leftInv i = p.leftInv i := by
ext1 n
induction' n using Nat.strongRec' with n IH
match n with
| 0 => simp -- if one replaces `simp` with `refl`, the proof times out in the kernel.
| 1 => simp -- TODO: why?
| n + 2 =>
simp only [leftInv, neg_inj]
refine Finset.sum_congr rfl fun c cuniv => ?_
rcases c with ⟨c, hc⟩
ext v
dsimp
simp [IH _ hc]
#align formal_multilinear_series.left_inv_remove_zero FormalMultilinearSeries.leftInv_removeZero
theorem leftInv_comp (p : FormalMultilinearSeries 𝕜 E F) (i : E ≃L[𝕜] F)
(h : p 1 = (continuousMultilinearCurryFin1 𝕜 E F).symm i) : (leftInv p i).comp p = id 𝕜 E := by
ext (n v)
match n with
| 0 =>
simp only [leftInv_coeff_zero, ContinuousMultilinearMap.zero_apply, id_apply_ne_one, Ne,
not_false_iff, zero_ne_one, comp_coeff_zero']
| 1 =>
simp only [leftInv_coeff_one, comp_coeff_one, h, id_apply_one, ContinuousLinearEquiv.coe_apply,
ContinuousLinearEquiv.symm_apply_apply, continuousMultilinearCurryFin1_symm_apply]
| n + 2 =>
have A :
(Finset.univ : Finset (Composition (n + 2))) =
{c | Composition.length c < n + 2}.toFinset ∪ {Composition.ones (n + 2)} := by
refine Subset.antisymm (fun c _ => ?_) (subset_univ _)
by_cases h : c.length < n + 2
· simp [h, Set.mem_toFinset (s := {c | Composition.length c < n + 2})]
· simp [Composition.eq_ones_iff_le_length.2 (not_lt.1 h)]
have B :
Disjoint ({c | Composition.length c < n + 2} : Set (Composition (n + 2))).toFinset
{Composition.ones (n + 2)} := by
simp [Set.mem_toFinset (s := {c | Composition.length c < n + 2})]
have C :
((p.leftInv i (Composition.ones (n + 2)).length)
fun j : Fin (Composition.ones n.succ.succ).length =>
p 1 fun _ => v ((Fin.castLE (Composition.length_le _)) j)) =
p.leftInv i (n + 2) fun j : Fin (n + 2) => p 1 fun _ => v j := by
apply FormalMultilinearSeries.congr _ (Composition.ones_length _) fun j hj1 hj2 => ?_
exact FormalMultilinearSeries.congr _ rfl fun k _ _ => by congr
have D :
(p.leftInv i (n + 2) fun j : Fin (n + 2) => p 1 fun _ => v j) =
-∑ c ∈ {c : Composition (n + 2) | c.length < n + 2}.toFinset,
(p.leftInv i c.length) (p.applyComposition c v) := by
simp only [leftInv, ContinuousMultilinearMap.neg_apply, neg_inj,
ContinuousMultilinearMap.sum_apply]
convert
(sum_toFinset_eq_subtype
(fun c : Composition (n + 2) => c.length < n + 2)
(fun c : Composition (n + 2) =>
(ContinuousMultilinearMap.compAlongComposition
(p.compContinuousLinearMap (i.symm : F →L[𝕜] E)) c (p.leftInv i c.length))
fun j : Fin (n + 2) => p 1 fun _ : Fin 1 => v j)).symm.trans
_
simp only [compContinuousLinearMap_applyComposition,
ContinuousMultilinearMap.compAlongComposition_apply]
congr
ext c
congr
ext k
simp [h, Function.comp]
simp [FormalMultilinearSeries.comp, show n + 2 ≠ 1 by omega, A, Finset.sum_union B,
applyComposition_ones, C, D, -Set.toFinset_setOf]
#align formal_multilinear_series.left_inv_comp FormalMultilinearSeries.leftInv_comp
noncomputable def rightInv (p : FormalMultilinearSeries 𝕜 E F) (i : E ≃L[𝕜] F) :
FormalMultilinearSeries 𝕜 F E
| 0 => 0
| 1 => (continuousMultilinearCurryFin1 𝕜 F E).symm i.symm
| n + 2 =>
let q : FormalMultilinearSeries 𝕜 F E := fun k => if k < n + 2 then rightInv p i k else 0;
-(i.symm : F →L[𝕜] E).compContinuousMultilinearMap ((p.comp q) (n + 2))
#align formal_multilinear_series.right_inv FormalMultilinearSeries.rightInv
@[simp]
theorem rightInv_coeff_zero (p : FormalMultilinearSeries 𝕜 E F) (i : E ≃L[𝕜] F) :
p.rightInv i 0 = 0 := by rw [rightInv]
#align formal_multilinear_series.right_inv_coeff_zero FormalMultilinearSeries.rightInv_coeff_zero
@[simp]
theorem rightInv_coeff_one (p : FormalMultilinearSeries 𝕜 E F) (i : E ≃L[𝕜] F) :
p.rightInv i 1 = (continuousMultilinearCurryFin1 𝕜 F E).symm i.symm := by rw [rightInv]
#align formal_multilinear_series.right_inv_coeff_one FormalMultilinearSeries.rightInv_coeff_one
theorem rightInv_removeZero (p : FormalMultilinearSeries 𝕜 E F) (i : E ≃L[𝕜] F) :
p.removeZero.rightInv i = p.rightInv i := by
ext1 n
induction' n using Nat.strongRec' with n IH
match n with
| 0 => simp only [rightInv_coeff_zero]
| 1 => simp only [rightInv_coeff_one]
| n + 2 =>
simp only [rightInv, neg_inj]
rw [removeZero_comp_of_pos _ _ (add_pos_of_nonneg_of_pos n.zero_le zero_lt_two)]
congr (config := { closePost := false }) 2 with k
by_cases hk : k < n + 2 <;> simp [hk, IH]
#align formal_multilinear_series.right_inv_remove_zero FormalMultilinearSeries.rightInv_removeZero
theorem comp_rightInv_aux1 {n : ℕ} (hn : 0 < n) (p : FormalMultilinearSeries 𝕜 E F)
(q : FormalMultilinearSeries 𝕜 F E) (v : Fin n → F) :
p.comp q n v =
∑ c ∈ {c : Composition n | 1 < c.length}.toFinset,
p c.length (q.applyComposition c v) +
p 1 fun _ => q n v := by
have A :
(Finset.univ : Finset (Composition n)) =
{c | 1 < Composition.length c}.toFinset ∪ {Composition.single n hn} := by
refine Subset.antisymm (fun c _ => ?_) (subset_univ _)
by_cases h : 1 < c.length
· simp [h, Set.mem_toFinset (s := {c | 1 < Composition.length c})]
· have : c.length = 1 := by
refine (eq_iff_le_not_lt.2 ⟨?_, h⟩).symm; exact c.length_pos_of_pos hn
rw [← Composition.eq_single_iff_length hn] at this
simp [this]
have B :
Disjoint ({c | 1 < Composition.length c} : Set (Composition n)).toFinset
{Composition.single n hn} := by
simp [Set.mem_toFinset (s := {c | 1 < Composition.length c})]
have C :
p (Composition.single n hn).length (q.applyComposition (Composition.single n hn) v) =
p 1 fun _ : Fin 1 => q n v := by
apply p.congr (Composition.single_length hn) fun j hj1 _ => ?_
simp [applyComposition_single]
simp [FormalMultilinearSeries.comp, A, Finset.sum_union B, C, -Set.toFinset_setOf,
-add_right_inj, -Composition.single_length]
#align formal_multilinear_series.comp_right_inv_aux1 FormalMultilinearSeries.comp_rightInv_aux1
| Mathlib/Analysis/Analytic/Inverse.lean | 231 | 243 | theorem comp_rightInv_aux2 (p : FormalMultilinearSeries 𝕜 E F) (i : E ≃L[𝕜] F) (n : ℕ)
(v : Fin (n + 2) → F) :
∑ c ∈ {c : Composition (n + 2) | 1 < c.length}.toFinset,
p c.length (applyComposition (fun k : ℕ => ite (k < n + 2) (p.rightInv i k) 0) c v) =
∑ c ∈ {c : Composition (n + 2) | 1 < c.length}.toFinset,
p c.length ((p.rightInv i).applyComposition c v) := by |
have N : 0 < n + 2 := by norm_num
refine sum_congr rfl fun c hc => p.congr rfl fun j hj1 hj2 => ?_
have : ∀ k, c.blocksFun k < n + 2 := by
simp only [Set.mem_toFinset (s := {c : Composition (n + 2) | 1 < c.length}),
Set.mem_setOf_eq] at hc
simp [← Composition.ne_single_iff N, Composition.eq_single_iff_length, ne_of_gt hc]
simp [applyComposition, this]
|
import Mathlib.Combinatorics.SimpleGraph.Init
import Mathlib.Data.Rel
import Mathlib.Data.Set.Finite
import Mathlib.Data.Sym.Sym2
#align_import combinatorics.simple_graph.basic from "leanprover-community/mathlib"@"3365b20c2ffa7c35e47e5209b89ba9abdddf3ffe"
-- Porting note: using `aesop` for automation
-- Porting note: These attributes are needed to use `aesop` as a replacement for `obviously`
attribute [aesop norm unfold (rule_sets := [SimpleGraph])] Symmetric
attribute [aesop norm unfold (rule_sets := [SimpleGraph])] Irreflexive
-- Porting note: a thin wrapper around `aesop` for graph lemmas, modelled on `aesop_cat`
macro (name := aesop_graph) "aesop_graph" c:Aesop.tactic_clause* : tactic =>
`(tactic|
aesop $c*
(config := { introsTransparency? := some .default, terminal := true })
(rule_sets := [$(Lean.mkIdent `SimpleGraph):ident]))
macro (name := aesop_graph?) "aesop_graph?" c:Aesop.tactic_clause* : tactic =>
`(tactic|
aesop $c*
(config := { introsTransparency? := some .default, terminal := true })
(rule_sets := [$(Lean.mkIdent `SimpleGraph):ident]))
macro (name := aesop_graph_nonterminal) "aesop_graph_nonterminal" c:Aesop.tactic_clause* : tactic =>
`(tactic|
aesop $c*
(config := { introsTransparency? := some .default, warnOnNonterminal := false })
(rule_sets := [$(Lean.mkIdent `SimpleGraph):ident]))
open Finset Function
universe u v w
@[ext, aesop safe constructors (rule_sets := [SimpleGraph])]
structure SimpleGraph (V : Type u) where
Adj : V → V → Prop
symm : Symmetric Adj := by aesop_graph
loopless : Irreflexive Adj := by aesop_graph
#align simple_graph SimpleGraph
-- Porting note: changed `obviously` to `aesop` in the `structure`
initialize_simps_projections SimpleGraph (Adj → adj)
@[simps]
def SimpleGraph.mk' {V : Type u} :
{adj : V → V → Bool // (∀ x y, adj x y = adj y x) ∧ (∀ x, ¬ adj x x)} ↪ SimpleGraph V where
toFun x := ⟨fun v w ↦ x.1 v w, fun v w ↦ by simp [x.2.1], fun v ↦ by simp [x.2.2]⟩
inj' := by
rintro ⟨adj, _⟩ ⟨adj', _⟩
simp only [mk.injEq, Subtype.mk.injEq]
intro h
funext v w
simpa [Bool.coe_iff_coe] using congr_fun₂ h v w
instance {V : Type u} [Fintype V] [DecidableEq V] : Fintype (SimpleGraph V) where
elems := Finset.univ.map SimpleGraph.mk'
complete := by
classical
rintro ⟨Adj, hs, hi⟩
simp only [mem_map, mem_univ, true_and, Subtype.exists, Bool.not_eq_true]
refine ⟨fun v w ↦ Adj v w, ⟨?_, ?_⟩, ?_⟩
· simp [hs.iff]
· intro v; simp [hi v]
· ext
simp
def SimpleGraph.fromRel {V : Type u} (r : V → V → Prop) : SimpleGraph V where
Adj a b := a ≠ b ∧ (r a b ∨ r b a)
symm := fun _ _ ⟨hn, hr⟩ => ⟨hn.symm, hr.symm⟩
loopless := fun _ ⟨hn, _⟩ => hn rfl
#align simple_graph.from_rel SimpleGraph.fromRel
@[simp]
theorem SimpleGraph.fromRel_adj {V : Type u} (r : V → V → Prop) (v w : V) :
(SimpleGraph.fromRel r).Adj v w ↔ v ≠ w ∧ (r v w ∨ r w v) :=
Iff.rfl
#align simple_graph.from_rel_adj SimpleGraph.fromRel_adj
-- Porting note: attributes needed for `completeGraph`
attribute [aesop safe (rule_sets := [SimpleGraph])] Ne.symm
attribute [aesop safe (rule_sets := [SimpleGraph])] Ne.irrefl
def completeGraph (V : Type u) : SimpleGraph V where Adj := Ne
#align complete_graph completeGraph
def emptyGraph (V : Type u) : SimpleGraph V where Adj _ _ := False
#align empty_graph emptyGraph
@[simps]
def completeBipartiteGraph (V W : Type*) : SimpleGraph (Sum V W) where
Adj v w := v.isLeft ∧ w.isRight ∨ v.isRight ∧ w.isLeft
symm v w := by cases v <;> cases w <;> simp
loopless v := by cases v <;> simp
#align complete_bipartite_graph completeBipartiteGraph
namespace SimpleGraph
variable {ι : Sort*} {V : Type u} (G : SimpleGraph V) {a b c u v w : V} {e : Sym2 V}
@[simp]
protected theorem irrefl {v : V} : ¬G.Adj v v :=
G.loopless v
#align simple_graph.irrefl SimpleGraph.irrefl
theorem adj_comm (u v : V) : G.Adj u v ↔ G.Adj v u :=
⟨fun x => G.symm x, fun x => G.symm x⟩
#align simple_graph.adj_comm SimpleGraph.adj_comm
@[symm]
theorem adj_symm (h : G.Adj u v) : G.Adj v u :=
G.symm h
#align simple_graph.adj_symm SimpleGraph.adj_symm
theorem Adj.symm {G : SimpleGraph V} {u v : V} (h : G.Adj u v) : G.Adj v u :=
G.symm h
#align simple_graph.adj.symm SimpleGraph.Adj.symm
theorem ne_of_adj (h : G.Adj a b) : a ≠ b := by
rintro rfl
exact G.irrefl h
#align simple_graph.ne_of_adj SimpleGraph.ne_of_adj
protected theorem Adj.ne {G : SimpleGraph V} {a b : V} (h : G.Adj a b) : a ≠ b :=
G.ne_of_adj h
#align simple_graph.adj.ne SimpleGraph.Adj.ne
protected theorem Adj.ne' {G : SimpleGraph V} {a b : V} (h : G.Adj a b) : b ≠ a :=
h.ne.symm
#align simple_graph.adj.ne' SimpleGraph.Adj.ne'
theorem ne_of_adj_of_not_adj {v w x : V} (h : G.Adj v x) (hn : ¬G.Adj w x) : v ≠ w := fun h' =>
hn (h' ▸ h)
#align simple_graph.ne_of_adj_of_not_adj SimpleGraph.ne_of_adj_of_not_adj
theorem adj_injective : Injective (Adj : SimpleGraph V → V → V → Prop) :=
SimpleGraph.ext
#align simple_graph.adj_injective SimpleGraph.adj_injective
@[simp]
theorem adj_inj {G H : SimpleGraph V} : G.Adj = H.Adj ↔ G = H :=
adj_injective.eq_iff
#align simple_graph.adj_inj SimpleGraph.adj_inj
section Order
def IsSubgraph (x y : SimpleGraph V) : Prop :=
∀ ⦃v w : V⦄, x.Adj v w → y.Adj v w
#align simple_graph.is_subgraph SimpleGraph.IsSubgraph
instance : LE (SimpleGraph V) :=
⟨IsSubgraph⟩
@[simp]
theorem isSubgraph_eq_le : (IsSubgraph : SimpleGraph V → SimpleGraph V → Prop) = (· ≤ ·) :=
rfl
#align simple_graph.is_subgraph_eq_le SimpleGraph.isSubgraph_eq_le
instance : Sup (SimpleGraph V) where
sup x y :=
{ Adj := x.Adj ⊔ y.Adj
symm := fun v w h => by rwa [Pi.sup_apply, Pi.sup_apply, x.adj_comm, y.adj_comm] }
@[simp]
theorem sup_adj (x y : SimpleGraph V) (v w : V) : (x ⊔ y).Adj v w ↔ x.Adj v w ∨ y.Adj v w :=
Iff.rfl
#align simple_graph.sup_adj SimpleGraph.sup_adj
instance : Inf (SimpleGraph V) where
inf x y :=
{ Adj := x.Adj ⊓ y.Adj
symm := fun v w h => by rwa [Pi.inf_apply, Pi.inf_apply, x.adj_comm, y.adj_comm] }
@[simp]
theorem inf_adj (x y : SimpleGraph V) (v w : V) : (x ⊓ y).Adj v w ↔ x.Adj v w ∧ y.Adj v w :=
Iff.rfl
#align simple_graph.inf_adj SimpleGraph.inf_adj
instance hasCompl : HasCompl (SimpleGraph V) where
compl G :=
{ Adj := fun v w => v ≠ w ∧ ¬G.Adj v w
symm := fun v w ⟨hne, _⟩ => ⟨hne.symm, by rwa [adj_comm]⟩
loopless := fun v ⟨hne, _⟩ => (hne rfl).elim }
@[simp]
theorem compl_adj (G : SimpleGraph V) (v w : V) : Gᶜ.Adj v w ↔ v ≠ w ∧ ¬G.Adj v w :=
Iff.rfl
#align simple_graph.compl_adj SimpleGraph.compl_adj
instance sdiff : SDiff (SimpleGraph V) where
sdiff x y :=
{ Adj := x.Adj \ y.Adj
symm := fun v w h => by change x.Adj w v ∧ ¬y.Adj w v; rwa [x.adj_comm, y.adj_comm] }
@[simp]
theorem sdiff_adj (x y : SimpleGraph V) (v w : V) : (x \ y).Adj v w ↔ x.Adj v w ∧ ¬y.Adj v w :=
Iff.rfl
#align simple_graph.sdiff_adj SimpleGraph.sdiff_adj
instance supSet : SupSet (SimpleGraph V) where
sSup s :=
{ Adj := fun a b => ∃ G ∈ s, Adj G a b
symm := fun a b => Exists.imp fun _ => And.imp_right Adj.symm
loopless := by
rintro a ⟨G, _, ha⟩
exact ha.ne rfl }
instance infSet : InfSet (SimpleGraph V) where
sInf s :=
{ Adj := fun a b => (∀ ⦃G⦄, G ∈ s → Adj G a b) ∧ a ≠ b
symm := fun _ _ => And.imp (forall₂_imp fun _ _ => Adj.symm) Ne.symm
loopless := fun _ h => h.2 rfl }
@[simp]
theorem sSup_adj {s : Set (SimpleGraph V)} {a b : V} : (sSup s).Adj a b ↔ ∃ G ∈ s, Adj G a b :=
Iff.rfl
#align simple_graph.Sup_adj SimpleGraph.sSup_adj
@[simp]
theorem sInf_adj {s : Set (SimpleGraph V)} : (sInf s).Adj a b ↔ (∀ G ∈ s, Adj G a b) ∧ a ≠ b :=
Iff.rfl
#align simple_graph.Inf_adj SimpleGraph.sInf_adj
@[simp]
theorem iSup_adj {f : ι → SimpleGraph V} : (⨆ i, f i).Adj a b ↔ ∃ i, (f i).Adj a b := by simp [iSup]
#align simple_graph.supr_adj SimpleGraph.iSup_adj
@[simp]
theorem iInf_adj {f : ι → SimpleGraph V} : (⨅ i, f i).Adj a b ↔ (∀ i, (f i).Adj a b) ∧ a ≠ b := by
simp [iInf]
#align simple_graph.infi_adj SimpleGraph.iInf_adj
theorem sInf_adj_of_nonempty {s : Set (SimpleGraph V)} (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 => (h _ hG).ne
#align simple_graph.Inf_adj_of_nonempty SimpleGraph.sInf_adj_of_nonempty
theorem iInf_adj_of_nonempty [Nonempty ι] {f : ι → SimpleGraph V} :
(⨅ i, f i).Adj a b ↔ ∀ i, (f i).Adj a b := by
rw [iInf, sInf_adj_of_nonempty (Set.range_nonempty _), Set.forall_mem_range]
#align simple_graph.infi_adj_of_nonempty SimpleGraph.iInf_adj_of_nonempty
instance distribLattice : DistribLattice (SimpleGraph V) :=
{ show DistribLattice (SimpleGraph V) from
adj_injective.distribLattice _ (fun _ _ => rfl) fun _ _ => rfl with
le := fun G H => ∀ ⦃a b⦄, G.Adj a b → H.Adj a b }
instance completeAtomicBooleanAlgebra : CompleteAtomicBooleanAlgebra (SimpleGraph V) :=
{ SimpleGraph.distribLattice with
le := (· ≤ ·)
sup := (· ⊔ ·)
inf := (· ⊓ ·)
compl := HasCompl.compl
sdiff := (· \ ·)
top := completeGraph V
bot := emptyGraph V
le_top := fun x v w h => x.ne_of_adj h
bot_le := fun x v w h => h.elim
sdiff_eq := fun x y => by
ext v w
refine ⟨fun h => ⟨h.1, ⟨?_, h.2⟩⟩, fun h => ⟨h.1, h.2.2⟩⟩
rintro rfl
exact x.irrefl h.1
inf_compl_le_bot := fun G v w h => False.elim <| h.2.2 h.1
top_le_sup_compl := fun G v w hvw => by
by_cases h : G.Adj v w
· exact Or.inl h
· exact Or.inr ⟨hvw, h⟩
sSup := sSup
le_sSup := fun s G hG a b hab => ⟨G, hG, hab⟩
sSup_le := fun s G hG a b => by
rintro ⟨H, hH, hab⟩
exact hG _ hH hab
sInf := sInf
sInf_le := fun s G hG a b hab => hab.1 hG
le_sInf := fun s G hG a b hab => ⟨fun H hH => hG _ hH hab, hab.ne⟩
iInf_iSup_eq := fun f => by ext; simp [Classical.skolem] }
@[simp]
theorem top_adj (v w : V) : (⊤ : SimpleGraph V).Adj v w ↔ v ≠ w :=
Iff.rfl
#align simple_graph.top_adj SimpleGraph.top_adj
@[simp]
theorem bot_adj (v w : V) : (⊥ : SimpleGraph V).Adj v w ↔ False :=
Iff.rfl
#align simple_graph.bot_adj SimpleGraph.bot_adj
@[simp]
theorem completeGraph_eq_top (V : Type u) : completeGraph V = ⊤ :=
rfl
#align simple_graph.complete_graph_eq_top SimpleGraph.completeGraph_eq_top
@[simp]
theorem emptyGraph_eq_bot (V : Type u) : emptyGraph V = ⊥ :=
rfl
#align simple_graph.empty_graph_eq_bot SimpleGraph.emptyGraph_eq_bot
@[simps]
instance (V : Type u) : Inhabited (SimpleGraph V) :=
⟨⊥⟩
instance [Subsingleton V] : Unique (SimpleGraph V) where
default := ⊥
uniq G := by ext a b; have := Subsingleton.elim a b; simp [this]
instance [Nontrivial V] : Nontrivial (SimpleGraph V) :=
⟨⟨⊥, ⊤, fun h ↦ not_subsingleton V ⟨by simpa only [← adj_inj, Function.funext_iff, bot_adj,
top_adj, ne_eq, eq_iff_iff, false_iff, not_not] using h⟩⟩⟩
def support : Set V :=
Rel.dom G.Adj
#align simple_graph.support SimpleGraph.support
theorem mem_support {v : V} : v ∈ G.support ↔ ∃ w, G.Adj v w :=
Iff.rfl
#align simple_graph.mem_support SimpleGraph.mem_support
theorem support_mono {G G' : SimpleGraph V} (h : G ≤ G') : G.support ⊆ G'.support :=
Rel.dom_mono h
#align simple_graph.support_mono SimpleGraph.support_mono
def neighborSet (v : V) : Set V := {w | G.Adj v w}
#align simple_graph.neighbor_set SimpleGraph.neighborSet
instance neighborSet.memDecidable (v : V) [DecidableRel G.Adj] :
DecidablePred (· ∈ G.neighborSet v) :=
inferInstanceAs <| DecidablePred (Adj G v)
#align simple_graph.neighbor_set.mem_decidable SimpleGraph.neighborSet.memDecidable
section EdgeSet
variable {G₁ G₂ : SimpleGraph V}
-- Porting note: We need a separate definition so that dot notation works.
def edgeSetEmbedding (V : Type*) : SimpleGraph V ↪o Set (Sym2 V) :=
OrderEmbedding.ofMapLEIff (fun G => Sym2.fromRel G.symm) fun _ _ =>
⟨fun h a b => @h s(a, b), fun h e => Sym2.ind @h e⟩
abbrev edgeSet (G : SimpleGraph V) : Set (Sym2 V) := edgeSetEmbedding V G
#align simple_graph.edge_set SimpleGraph.edgeSetEmbedding
@[simp]
theorem mem_edgeSet : s(v, w) ∈ G.edgeSet ↔ G.Adj v w :=
Iff.rfl
#align simple_graph.mem_edge_set SimpleGraph.mem_edgeSet
theorem not_isDiag_of_mem_edgeSet : e ∈ edgeSet G → ¬e.IsDiag :=
Sym2.ind (fun _ _ => Adj.ne) e
#align simple_graph.not_is_diag_of_mem_edge_set SimpleGraph.not_isDiag_of_mem_edgeSet
theorem edgeSet_inj : G₁.edgeSet = G₂.edgeSet ↔ G₁ = G₂ := (edgeSetEmbedding V).eq_iff_eq
#align simple_graph.edge_set_inj SimpleGraph.edgeSet_inj
@[simp]
theorem edgeSet_subset_edgeSet : edgeSet G₁ ⊆ edgeSet G₂ ↔ G₁ ≤ G₂ :=
(edgeSetEmbedding V).le_iff_le
#align simple_graph.edge_set_subset_edge_set SimpleGraph.edgeSet_subset_edgeSet
@[simp]
theorem edgeSet_ssubset_edgeSet : edgeSet G₁ ⊂ edgeSet G₂ ↔ G₁ < G₂ :=
(edgeSetEmbedding V).lt_iff_lt
#align simple_graph.edge_set_ssubset_edge_set SimpleGraph.edgeSet_ssubset_edgeSet
theorem edgeSet_injective : Injective (edgeSet : SimpleGraph V → Set (Sym2 V)) :=
(edgeSetEmbedding V).injective
#align simple_graph.edge_set_injective SimpleGraph.edgeSet_injective
alias ⟨_, edgeSet_mono⟩ := edgeSet_subset_edgeSet
#align simple_graph.edge_set_mono SimpleGraph.edgeSet_mono
alias ⟨_, edgeSet_strict_mono⟩ := edgeSet_ssubset_edgeSet
#align simple_graph.edge_set_strict_mono SimpleGraph.edgeSet_strict_mono
attribute [mono] edgeSet_mono edgeSet_strict_mono
variable (G₁ G₂)
@[simp]
theorem edgeSet_bot : (⊥ : SimpleGraph V).edgeSet = ∅ :=
Sym2.fromRel_bot
#align simple_graph.edge_set_bot SimpleGraph.edgeSet_bot
@[simp]
theorem edgeSet_top : (⊤ : SimpleGraph V).edgeSet = {e | ¬e.IsDiag} :=
Sym2.fromRel_ne
@[simp]
theorem edgeSet_subset_setOf_not_isDiag : G.edgeSet ⊆ {e | ¬e.IsDiag} :=
fun _ h => (Sym2.fromRel_irreflexive (sym := G.symm)).mp G.loopless h
@[simp]
theorem edgeSet_sup : (G₁ ⊔ G₂).edgeSet = G₁.edgeSet ∪ G₂.edgeSet := by
ext ⟨x, y⟩
rfl
#align simple_graph.edge_set_sup SimpleGraph.edgeSet_sup
@[simp]
theorem edgeSet_inf : (G₁ ⊓ G₂).edgeSet = G₁.edgeSet ∩ G₂.edgeSet := by
ext ⟨x, y⟩
rfl
#align simple_graph.edge_set_inf SimpleGraph.edgeSet_inf
@[simp]
| Mathlib/Combinatorics/SimpleGraph/Basic.lean | 532 | 534 | theorem edgeSet_sdiff : (G₁ \ G₂).edgeSet = G₁.edgeSet \ G₂.edgeSet := by |
ext ⟨x, y⟩
rfl
|
import Mathlib.RingTheory.RingHomProperties
#align_import ring_theory.ring_hom.finite from "leanprover-community/mathlib"@"b5aecf07a179c60b6b37c1ac9da952f3b565c785"
namespace RingHom
open scoped TensorProduct
open TensorProduct Algebra.TensorProduct
theorem finite_stableUnderComposition : StableUnderComposition @Finite := by
introv R hf hg
exact hg.comp hf
#align ring_hom.finite_stable_under_composition RingHom.finite_stableUnderComposition
| Mathlib/RingTheory/RingHom/Finite.lean | 28 | 31 | theorem finite_respectsIso : RespectsIso @Finite := by |
apply finite_stableUnderComposition.respectsIso
intros
exact Finite.of_surjective _ (RingEquiv.toEquiv _).surjective
|
import Mathlib.CategoryTheory.Monoidal.Braided.Basic
import Mathlib.Algebra.Category.ModuleCat.Monoidal.Basic
#align_import algebra.category.Module.monoidal.symmetric from "leanprover-community/mathlib"@"74403a3b2551b0970855e14ef5e8fd0d6af1bfc2"
suppress_compilation
universe v w x u
open CategoryTheory MonoidalCategory
namespace ModuleCat
variable {R : Type u} [CommRing R]
def braiding (M N : ModuleCat.{u} R) : M ⊗ N ≅ N ⊗ M :=
LinearEquiv.toModuleIso (TensorProduct.comm R M N)
set_option linter.uppercaseLean3 false in
#align Module.braiding ModuleCat.braiding
namespace MonoidalCategory
@[simp]
theorem braiding_naturality {X₁ X₂ Y₁ Y₂ : ModuleCat.{u} R} (f : X₁ ⟶ Y₁) (g : X₂ ⟶ Y₂) :
(f ⊗ g) ≫ (Y₁.braiding Y₂).hom = (X₁.braiding X₂).hom ≫ (g ⊗ f) := by
apply TensorProduct.ext'
intro x y
rfl
set_option linter.uppercaseLean3 false in
#align Module.monoidal_category.braiding_naturality ModuleCat.MonoidalCategory.braiding_naturality
@[simp]
theorem braiding_naturality_left {X Y : ModuleCat R} (f : X ⟶ Y) (Z : ModuleCat R) :
f ▷ Z ≫ (braiding Y Z).hom = (braiding X Z).hom ≫ Z ◁ f := by
simp_rw [← id_tensorHom]
apply braiding_naturality
@[simp]
theorem braiding_naturality_right (X : ModuleCat R) {Y Z : ModuleCat R} (f : Y ⟶ Z) :
X ◁ f ≫ (braiding X Z).hom = (braiding X Y).hom ≫ f ▷ X := by
simp_rw [← id_tensorHom]
apply braiding_naturality
@[simp]
theorem hexagon_forward (X Y Z : ModuleCat.{u} R) :
(α_ X Y Z).hom ≫ (braiding X _).hom ≫ (α_ Y Z X).hom =
(braiding X Y).hom ▷ Z ≫ (α_ Y X Z).hom ≫ Y ◁ (braiding X Z).hom := by
apply TensorProduct.ext_threefold
intro x y z
rfl
set_option linter.uppercaseLean3 false in
#align Module.monoidal_category.hexagon_forward ModuleCat.MonoidalCategory.hexagon_forward
@[simp]
| Mathlib/Algebra/Category/ModuleCat/Monoidal/Symmetric.lean | 65 | 71 | theorem hexagon_reverse (X Y Z : ModuleCat.{u} R) :
(α_ X Y Z).inv ≫ (braiding _ Z).hom ≫ (α_ Z X Y).inv =
X ◁ (Y.braiding Z).hom ≫ (α_ X Z Y).inv ≫ (X.braiding Z).hom ▷ Y := by |
apply (cancel_epi (α_ X Y Z).hom).1
apply TensorProduct.ext_threefold
intro x y z
rfl
|
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⟩
| Mathlib/Analysis/Calculus/ParametricIntegral.lean | 207 | 226 | 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
|
import Mathlib.Logic.UnivLE
import Mathlib.SetTheory.Ordinal.Basic
set_option autoImplicit true
noncomputable section
open Cardinal
theorem univLE_iff_cardinal_le : UnivLE.{u, v} ↔ univ.{u, v+1} ≤ univ.{v, u+1} := by
rw [← not_iff_not, UnivLE]; simp_rw [small_iff_lift_mk_lt_univ]; push_neg
-- strange: simp_rw [univ_umax.{v,u}] doesn't work
refine ⟨fun ⟨α, le⟩ ↦ ?_, fun h ↦ ?_⟩
· rw [univ_umax.{v,u}, ← lift_le.{u+1}, lift_univ, lift_lift] at le
exact le.trans_lt (lift_lt_univ'.{u,v+1} #α)
· obtain ⟨⟨α⟩, h⟩ := lt_univ'.mp h; use α
rw [univ_umax.{v,u}, ← lift_le.{u+1}, lift_univ, lift_lift]
exact h.le
| Mathlib/SetTheory/Cardinal/UnivLE.lean | 30 | 31 | theorem univLE_total : UnivLE.{u, v} ∨ UnivLE.{v, u} := by |
simp_rw [univLE_iff_cardinal_le]; apply le_total
|
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)]
| Mathlib/MeasureTheory/Group/Convolution.lean | 41 | 46 | 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 }
|
import Mathlib.Analysis.SpecialFunctions.JapaneseBracket
import Mathlib.Analysis.SpecialFunctions.Integrals
import Mathlib.MeasureTheory.Group.Integral
import Mathlib.MeasureTheory.Integral.IntegralEqImproper
import Mathlib.MeasureTheory.Measure.Lebesgue.Integral
#align_import analysis.special_functions.improper_integrals from "leanprover-community/mathlib"@"fd5edc43dc4f10b85abfe544b88f82cf13c5f844"
open Real Set Filter MeasureTheory intervalIntegral
open scoped Topology
theorem integrableOn_exp_Iic (c : ℝ) : IntegrableOn exp (Iic c) := by
refine
integrableOn_Iic_of_intervalIntegral_norm_bounded (exp c) c
(fun y => intervalIntegrable_exp.1) tendsto_id
(eventually_of_mem (Iic_mem_atBot 0) fun y _ => ?_)
simp_rw [norm_of_nonneg (exp_pos _).le, integral_exp, sub_le_self_iff]
exact (exp_pos _).le
#align integrable_on_exp_Iic integrableOn_exp_Iic
theorem integral_exp_Iic (c : ℝ) : ∫ x : ℝ in Iic c, exp x = exp c := by
refine
tendsto_nhds_unique
(intervalIntegral_tendsto_integral_Iic _ (integrableOn_exp_Iic _) tendsto_id) ?_
simp_rw [integral_exp, show 𝓝 (exp c) = 𝓝 (exp c - 0) by rw [sub_zero]]
exact tendsto_exp_atBot.const_sub _
#align integral_exp_Iic integral_exp_Iic
theorem integral_exp_Iic_zero : ∫ x : ℝ in Iic 0, exp x = 1 :=
exp_zero ▸ integral_exp_Iic 0
#align integral_exp_Iic_zero integral_exp_Iic_zero
theorem integral_exp_neg_Ioi (c : ℝ) : (∫ x : ℝ in Ioi c, exp (-x)) = exp (-c) := by
simpa only [integral_comp_neg_Ioi] using integral_exp_Iic (-c)
#align integral_exp_neg_Ioi integral_exp_neg_Ioi
theorem integral_exp_neg_Ioi_zero : (∫ x : ℝ in Ioi 0, exp (-x)) = 1 := by
simpa only [neg_zero, exp_zero] using integral_exp_neg_Ioi 0
#align integral_exp_neg_Ioi_zero integral_exp_neg_Ioi_zero
theorem integrableOn_Ioi_rpow_of_lt {a : ℝ} (ha : a < -1) {c : ℝ} (hc : 0 < c) :
IntegrableOn (fun t : ℝ => t ^ a) (Ioi c) := by
have hd : ∀ x ∈ Ici c, HasDerivAt (fun t => t ^ (a + 1) / (a + 1)) (x ^ a) x := by
intro x hx
-- Porting note: helped `convert` with explicit arguments
convert (hasDerivAt_rpow_const (p := a + 1) (Or.inl (hc.trans_le hx).ne')).div_const _ using 1
field_simp [show a + 1 ≠ 0 from ne_of_lt (by linarith), mul_comm]
have ht : Tendsto (fun t => t ^ (a + 1) / (a + 1)) atTop (𝓝 (0 / (a + 1))) := by
apply Tendsto.div_const
simpa only [neg_neg] using tendsto_rpow_neg_atTop (by linarith : 0 < -(a + 1))
exact
integrableOn_Ioi_deriv_of_nonneg' hd (fun t ht => rpow_nonneg (hc.trans ht).le a) ht
#align integrable_on_Ioi_rpow_of_lt integrableOn_Ioi_rpow_of_lt
theorem integrableOn_Ioi_rpow_iff {s t : ℝ} (ht : 0 < t) :
IntegrableOn (fun x ↦ x ^ s) (Ioi t) ↔ s < -1 := by
refine ⟨fun h ↦ ?_, fun h ↦ integrableOn_Ioi_rpow_of_lt h ht⟩
contrapose! h
intro H
have H' : IntegrableOn (fun x ↦ x ^ s) (Ioi (max 1 t)) :=
H.mono (Set.Ioi_subset_Ioi (le_max_right _ _)) le_rfl
have : IntegrableOn (fun x ↦ x⁻¹) (Ioi (max 1 t)) := by
apply H'.mono' measurable_inv.aestronglyMeasurable
filter_upwards [ae_restrict_mem measurableSet_Ioi] with x hx
have x_one : 1 ≤ x := ((le_max_left _ _).trans_lt (mem_Ioi.1 hx)).le
simp only [norm_inv, Real.norm_eq_abs, abs_of_nonneg (zero_le_one.trans x_one)]
rw [← Real.rpow_neg_one x]
exact Real.rpow_le_rpow_of_exponent_le x_one h
exact not_IntegrableOn_Ioi_inv this
theorem not_integrableOn_Ioi_rpow (s : ℝ) : ¬ IntegrableOn (fun x ↦ x ^ s) (Ioi (0 : ℝ)) := by
intro h
rcases le_or_lt s (-1) with hs|hs
· have : IntegrableOn (fun x ↦ x ^ s) (Ioo (0 : ℝ) 1) := h.mono Ioo_subset_Ioi_self le_rfl
rw [integrableOn_Ioo_rpow_iff zero_lt_one] at this
exact hs.not_lt this
· have : IntegrableOn (fun x ↦ x ^ s) (Ioi (1 : ℝ)) := h.mono (Ioi_subset_Ioi zero_le_one) le_rfl
rw [integrableOn_Ioi_rpow_iff zero_lt_one] at this
exact hs.not_lt this
theorem setIntegral_Ioi_zero_rpow (s : ℝ) : ∫ x in Ioi (0 : ℝ), x ^ s = 0 :=
MeasureTheory.integral_undef (not_integrableOn_Ioi_rpow s)
| Mathlib/Analysis/SpecialFunctions/ImproperIntegrals.lean | 106 | 116 | theorem integral_Ioi_rpow_of_lt {a : ℝ} (ha : a < -1) {c : ℝ} (hc : 0 < c) :
∫ t : ℝ in Ioi c, t ^ a = -c ^ (a + 1) / (a + 1) := by |
have hd : ∀ x ∈ Ici c, HasDerivAt (fun t => t ^ (a + 1) / (a + 1)) (x ^ a) x := by
intro x hx
convert (hasDerivAt_rpow_const (p := a + 1) (Or.inl (hc.trans_le hx).ne')).div_const _ using 1
field_simp [show a + 1 ≠ 0 from ne_of_lt (by linarith), mul_comm]
have ht : Tendsto (fun t => t ^ (a + 1) / (a + 1)) atTop (𝓝 (0 / (a + 1))) := by
apply Tendsto.div_const
simpa only [neg_neg] using tendsto_rpow_neg_atTop (by linarith : 0 < -(a + 1))
convert integral_Ioi_of_hasDerivAt_of_tendsto' hd (integrableOn_Ioi_rpow_of_lt ha hc) ht using 1
simp only [neg_div, zero_div, zero_sub]
|
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]
| Mathlib/Order/Interval/Set/OrderIso.lean | 24 | 26 | 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]
|
import Mathlib.MeasureTheory.Constructions.Prod.Basic
import Mathlib.MeasureTheory.Integral.DominatedConvergence
import Mathlib.MeasureTheory.Integral.SetIntegral
#align_import measure_theory.constructions.prod.integral from "leanprover-community/mathlib"@"fd5edc43dc4f10b85abfe544b88f82cf13c5f844"
noncomputable section
open scoped Classical Topology ENNReal MeasureTheory
open Set Function Real ENNReal
open MeasureTheory MeasurableSpace MeasureTheory.Measure
open TopologicalSpace
open Filter hiding prod_eq map
variable {α α' β β' γ E : Type*}
variable [MeasurableSpace α] [MeasurableSpace α'] [MeasurableSpace β] [MeasurableSpace β']
variable [MeasurableSpace γ]
variable {μ μ' : Measure α} {ν ν' : Measure β} {τ : Measure γ}
variable [NormedAddCommGroup E]
theorem measurableSet_integrable [SigmaFinite ν] ⦃f : α → β → E⦄
(hf : StronglyMeasurable (uncurry f)) : MeasurableSet {x | Integrable (f x) ν} := by
simp_rw [Integrable, hf.of_uncurry_left.aestronglyMeasurable, true_and_iff]
exact measurableSet_lt (Measurable.lintegral_prod_right hf.ennnorm) measurable_const
#align measurable_set_integrable measurableSet_integrable
section
variable [NormedSpace ℝ E]
theorem MeasureTheory.StronglyMeasurable.integral_prod_right [SigmaFinite ν] ⦃f : α → β → E⦄
(hf : StronglyMeasurable (uncurry f)) : StronglyMeasurable fun x => ∫ y, f x y ∂ν := by
by_cases hE : CompleteSpace E; swap; · simp [integral, hE, stronglyMeasurable_const]
borelize E
haveI : SeparableSpace (range (uncurry f) ∪ {0} : Set E) :=
hf.separableSpace_range_union_singleton
let s : ℕ → SimpleFunc (α × β) E :=
SimpleFunc.approxOn _ hf.measurable (range (uncurry f) ∪ {0}) 0 (by simp)
let s' : ℕ → α → SimpleFunc β E := fun n x => (s n).comp (Prod.mk x) measurable_prod_mk_left
let f' : ℕ → α → E := fun n => {x | Integrable (f x) ν}.indicator fun x => (s' n x).integral ν
have hf' : ∀ n, StronglyMeasurable (f' n) := by
intro n; refine StronglyMeasurable.indicator ?_ (measurableSet_integrable hf)
have : ∀ x, ((s' n x).range.filter fun x => x ≠ 0) ⊆ (s n).range := by
intro x; refine Finset.Subset.trans (Finset.filter_subset _ _) ?_; intro y
simp_rw [SimpleFunc.mem_range]; rintro ⟨z, rfl⟩; exact ⟨(x, z), rfl⟩
simp only [SimpleFunc.integral_eq_sum_of_subset (this _)]
refine Finset.stronglyMeasurable_sum _ fun x _ => ?_
refine (Measurable.ennreal_toReal ?_).stronglyMeasurable.smul_const _
simp only [s', SimpleFunc.coe_comp, preimage_comp]
apply measurable_measure_prod_mk_left
exact (s n).measurableSet_fiber x
have h2f' : Tendsto f' atTop (𝓝 fun x : α => ∫ y : β, f x y ∂ν) := by
rw [tendsto_pi_nhds]; intro x
by_cases hfx : Integrable (f x) ν
· have (n) : Integrable (s' n x) ν := by
apply (hfx.norm.add hfx.norm).mono' (s' n x).aestronglyMeasurable
filter_upwards with y
simp_rw [s', SimpleFunc.coe_comp]; exact SimpleFunc.norm_approxOn_zero_le _ _ (x, y) n
simp only [f', hfx, SimpleFunc.integral_eq_integral _ (this _), indicator_of_mem,
mem_setOf_eq]
refine
tendsto_integral_of_dominated_convergence (fun y => ‖f x y‖ + ‖f x y‖)
(fun n => (s' n x).aestronglyMeasurable) (hfx.norm.add hfx.norm) ?_ ?_
· refine fun n => eventually_of_forall fun y =>
SimpleFunc.norm_approxOn_zero_le ?_ ?_ (x, y) n
-- Porting note: Lean 3 solved the following two subgoals on its own
· exact hf.measurable
· simp
· refine eventually_of_forall fun y => SimpleFunc.tendsto_approxOn ?_ ?_ ?_
-- Porting note: Lean 3 solved the following two subgoals on its own
· exact hf.measurable.of_uncurry_left
· simp
apply subset_closure
simp [-uncurry_apply_pair]
· simp [f', hfx, integral_undef]
exact stronglyMeasurable_of_tendsto _ hf' h2f'
#align measure_theory.strongly_measurable.integral_prod_right MeasureTheory.StronglyMeasurable.integral_prod_right
theorem MeasureTheory.StronglyMeasurable.integral_prod_right' [SigmaFinite ν] ⦃f : α × β → E⦄
(hf : StronglyMeasurable f) : StronglyMeasurable fun x => ∫ y, f (x, y) ∂ν := by
rw [← uncurry_curry f] at hf; exact hf.integral_prod_right
#align measure_theory.strongly_measurable.integral_prod_right' MeasureTheory.StronglyMeasurable.integral_prod_right'
theorem MeasureTheory.StronglyMeasurable.integral_prod_left [SigmaFinite μ] ⦃f : α → β → E⦄
(hf : StronglyMeasurable (uncurry f)) : StronglyMeasurable fun y => ∫ x, f x y ∂μ :=
(hf.comp_measurable measurable_swap).integral_prod_right'
#align measure_theory.strongly_measurable.integral_prod_left MeasureTheory.StronglyMeasurable.integral_prod_left
theorem MeasureTheory.StronglyMeasurable.integral_prod_left' [SigmaFinite μ] ⦃f : α × β → E⦄
(hf : StronglyMeasurable f) : StronglyMeasurable fun y => ∫ x, f (x, y) ∂μ :=
(hf.comp_measurable measurable_swap).integral_prod_right'
#align measure_theory.strongly_measurable.integral_prod_left' MeasureTheory.StronglyMeasurable.integral_prod_left'
end
open MeasureTheory.Measure
section
nonrec theorem MeasureTheory.AEStronglyMeasurable.prod_swap {γ : Type*} [TopologicalSpace γ]
[SigmaFinite μ] [SigmaFinite ν] {f : β × α → γ} (hf : AEStronglyMeasurable f (ν.prod μ)) :
AEStronglyMeasurable (fun z : α × β => f z.swap) (μ.prod ν) := by
rw [← prod_swap] at hf
exact hf.comp_measurable measurable_swap
#align measure_theory.ae_strongly_measurable.prod_swap MeasureTheory.AEStronglyMeasurable.prod_swap
theorem MeasureTheory.AEStronglyMeasurable.fst {γ} [TopologicalSpace γ] [SigmaFinite ν] {f : α → γ}
(hf : AEStronglyMeasurable f μ) : AEStronglyMeasurable (fun z : α × β => f z.1) (μ.prod ν) :=
hf.comp_quasiMeasurePreserving quasiMeasurePreserving_fst
#align measure_theory.ae_strongly_measurable.fst MeasureTheory.AEStronglyMeasurable.fst
theorem MeasureTheory.AEStronglyMeasurable.snd {γ} [TopologicalSpace γ] [SigmaFinite ν] {f : β → γ}
(hf : AEStronglyMeasurable f ν) : AEStronglyMeasurable (fun z : α × β => f z.2) (μ.prod ν) :=
hf.comp_quasiMeasurePreserving quasiMeasurePreserving_snd
#align measure_theory.ae_strongly_measurable.snd MeasureTheory.AEStronglyMeasurable.snd
theorem MeasureTheory.AEStronglyMeasurable.integral_prod_right' [SigmaFinite ν] [NormedSpace ℝ E]
⦃f : α × β → E⦄ (hf : AEStronglyMeasurable f (μ.prod ν)) :
AEStronglyMeasurable (fun x => ∫ y, f (x, y) ∂ν) μ :=
⟨fun x => ∫ y, hf.mk f (x, y) ∂ν, hf.stronglyMeasurable_mk.integral_prod_right', by
filter_upwards [ae_ae_of_ae_prod hf.ae_eq_mk] with _ hx using integral_congr_ae hx⟩
#align measure_theory.ae_strongly_measurable.integral_prod_right' MeasureTheory.AEStronglyMeasurable.integral_prod_right'
theorem MeasureTheory.AEStronglyMeasurable.prod_mk_left {γ : Type*} [SigmaFinite ν]
[TopologicalSpace γ] {f : α × β → γ} (hf : AEStronglyMeasurable f (μ.prod ν)) :
∀ᵐ x ∂μ, AEStronglyMeasurable (fun y => f (x, y)) ν := by
filter_upwards [ae_ae_of_ae_prod hf.ae_eq_mk] with x hx
exact
⟨fun y => hf.mk f (x, y), hf.stronglyMeasurable_mk.comp_measurable measurable_prod_mk_left, hx⟩
#align measure_theory.ae_strongly_measurable.prod_mk_left MeasureTheory.AEStronglyMeasurable.prod_mk_left
end
namespace MeasureTheory
variable [SigmaFinite ν]
section
theorem integrable_swap_iff [SigmaFinite μ] {f : α × β → E} :
Integrable (f ∘ Prod.swap) (ν.prod μ) ↔ Integrable f (μ.prod ν) :=
measurePreserving_swap.integrable_comp_emb MeasurableEquiv.prodComm.measurableEmbedding
#align measure_theory.integrable_swap_iff MeasureTheory.integrable_swap_iff
theorem Integrable.swap [SigmaFinite μ] ⦃f : α × β → E⦄ (hf : Integrable f (μ.prod ν)) :
Integrable (f ∘ Prod.swap) (ν.prod μ) :=
integrable_swap_iff.2 hf
#align measure_theory.integrable.swap MeasureTheory.Integrable.swap
theorem hasFiniteIntegral_prod_iff ⦃f : α × β → E⦄ (h1f : StronglyMeasurable f) :
HasFiniteIntegral f (μ.prod ν) ↔
(∀ᵐ x ∂μ, HasFiniteIntegral (fun y => f (x, y)) ν) ∧
HasFiniteIntegral (fun x => ∫ y, ‖f (x, y)‖ ∂ν) μ := by
simp only [HasFiniteIntegral, lintegral_prod_of_measurable _ h1f.ennnorm]
have (x) : ∀ᵐ y ∂ν, 0 ≤ ‖f (x, y)‖ := by filter_upwards with y using norm_nonneg _
simp_rw [integral_eq_lintegral_of_nonneg_ae (this _)
(h1f.norm.comp_measurable measurable_prod_mk_left).aestronglyMeasurable,
ennnorm_eq_ofReal toReal_nonneg, ofReal_norm_eq_coe_nnnorm]
-- this fact is probably too specialized to be its own lemma
have : ∀ {p q r : Prop} (_ : r → p), (r ↔ p ∧ q) ↔ p → (r ↔ q) := fun {p q r} h1 => by
rw [← and_congr_right_iff, and_iff_right_of_imp h1]
rw [this]
· intro h2f; rw [lintegral_congr_ae]
filter_upwards [h2f] with x hx
rw [ofReal_toReal]; rw [← lt_top_iff_ne_top]; exact hx
· intro h2f; refine ae_lt_top ?_ h2f.ne; exact h1f.ennnorm.lintegral_prod_right'
#align measure_theory.has_finite_integral_prod_iff MeasureTheory.hasFiniteIntegral_prod_iff
theorem hasFiniteIntegral_prod_iff' ⦃f : α × β → E⦄ (h1f : AEStronglyMeasurable f (μ.prod ν)) :
HasFiniteIntegral f (μ.prod ν) ↔
(∀ᵐ x ∂μ, HasFiniteIntegral (fun y => f (x, y)) ν) ∧
HasFiniteIntegral (fun x => ∫ y, ‖f (x, y)‖ ∂ν) μ := by
rw [hasFiniteIntegral_congr h1f.ae_eq_mk,
hasFiniteIntegral_prod_iff h1f.stronglyMeasurable_mk]
apply and_congr
· apply eventually_congr
filter_upwards [ae_ae_of_ae_prod h1f.ae_eq_mk.symm]
intro x hx
exact hasFiniteIntegral_congr hx
· apply hasFiniteIntegral_congr
filter_upwards [ae_ae_of_ae_prod h1f.ae_eq_mk.symm] with _ hx using
integral_congr_ae (EventuallyEq.fun_comp hx _)
#align measure_theory.has_finite_integral_prod_iff' MeasureTheory.hasFiniteIntegral_prod_iff'
theorem integrable_prod_iff ⦃f : α × β → E⦄ (h1f : AEStronglyMeasurable f (μ.prod ν)) :
Integrable f (μ.prod ν) ↔
(∀ᵐ x ∂μ, Integrable (fun y => f (x, y)) ν) ∧ Integrable (fun x => ∫ y, ‖f (x, y)‖ ∂ν) μ := by
simp [Integrable, h1f, hasFiniteIntegral_prod_iff', h1f.norm.integral_prod_right',
h1f.prod_mk_left]
#align measure_theory.integrable_prod_iff MeasureTheory.integrable_prod_iff
theorem integrable_prod_iff' [SigmaFinite μ] ⦃f : α × β → E⦄
(h1f : AEStronglyMeasurable f (μ.prod ν)) :
Integrable f (μ.prod ν) ↔
(∀ᵐ y ∂ν, Integrable (fun x => f (x, y)) μ) ∧ Integrable (fun y => ∫ x, ‖f (x, y)‖ ∂μ) ν := by
convert integrable_prod_iff h1f.prod_swap using 1
rw [funext fun _ => Function.comp_apply.symm, integrable_swap_iff]
#align measure_theory.integrable_prod_iff' MeasureTheory.integrable_prod_iff'
theorem Integrable.prod_left_ae [SigmaFinite μ] ⦃f : α × β → E⦄ (hf : Integrable f (μ.prod ν)) :
∀ᵐ y ∂ν, Integrable (fun x => f (x, y)) μ :=
((integrable_prod_iff' hf.aestronglyMeasurable).mp hf).1
#align measure_theory.integrable.prod_left_ae MeasureTheory.Integrable.prod_left_ae
theorem Integrable.prod_right_ae [SigmaFinite μ] ⦃f : α × β → E⦄ (hf : Integrable f (μ.prod ν)) :
∀ᵐ x ∂μ, Integrable (fun y => f (x, y)) ν :=
hf.swap.prod_left_ae
#align measure_theory.integrable.prod_right_ae MeasureTheory.Integrable.prod_right_ae
theorem Integrable.integral_norm_prod_left ⦃f : α × β → E⦄ (hf : Integrable f (μ.prod ν)) :
Integrable (fun x => ∫ y, ‖f (x, y)‖ ∂ν) μ :=
((integrable_prod_iff hf.aestronglyMeasurable).mp hf).2
#align measure_theory.integrable.integral_norm_prod_left MeasureTheory.Integrable.integral_norm_prod_left
theorem Integrable.integral_norm_prod_right [SigmaFinite μ] ⦃f : α × β → E⦄
(hf : Integrable f (μ.prod ν)) : Integrable (fun y => ∫ x, ‖f (x, y)‖ ∂μ) ν :=
hf.swap.integral_norm_prod_left
#align measure_theory.integrable.integral_norm_prod_right MeasureTheory.Integrable.integral_norm_prod_right
theorem Integrable.prod_smul {𝕜 : Type*} [NontriviallyNormedField 𝕜] [NormedSpace 𝕜 E]
{f : α → 𝕜} {g : β → E} (hf : Integrable f μ) (hg : Integrable g ν) :
Integrable (fun z : α × β => f z.1 • g z.2) (μ.prod ν) := by
refine (integrable_prod_iff ?_).2 ⟨?_, ?_⟩
· exact hf.1.fst.smul hg.1.snd
· exact eventually_of_forall fun x => hg.smul (f x)
· simpa only [norm_smul, integral_mul_left] using hf.norm.mul_const _
theorem Integrable.prod_mul {L : Type*} [RCLike L] {f : α → L} {g : β → L} (hf : Integrable f μ)
(hg : Integrable g ν) : Integrable (fun z : α × β => f z.1 * g z.2) (μ.prod ν) :=
hf.prod_smul hg
#align measure_theory.integrable_prod_mul MeasureTheory.Integrable.prod_mul
end
variable [NormedSpace ℝ E]
theorem Integrable.integral_prod_left ⦃f : α × β → E⦄ (hf : Integrable f (μ.prod ν)) :
Integrable (fun x => ∫ y, f (x, y) ∂ν) μ :=
Integrable.mono hf.integral_norm_prod_left hf.aestronglyMeasurable.integral_prod_right' <|
eventually_of_forall fun x =>
(norm_integral_le_integral_norm _).trans_eq <|
(norm_of_nonneg <|
integral_nonneg_of_ae <|
eventually_of_forall fun y => (norm_nonneg (f (x, y)) : _)).symm
#align measure_theory.integrable.integral_prod_left MeasureTheory.Integrable.integral_prod_left
theorem Integrable.integral_prod_right [SigmaFinite μ] ⦃f : α × β → E⦄
(hf : Integrable f (μ.prod ν)) : Integrable (fun y => ∫ x, f (x, y) ∂μ) ν :=
hf.swap.integral_prod_left
#align measure_theory.integrable.integral_prod_right MeasureTheory.Integrable.integral_prod_right
variable [SigmaFinite μ]
theorem integral_prod_swap (f : α × β → E) :
∫ z, f z.swap ∂ν.prod μ = ∫ z, f z ∂μ.prod ν :=
measurePreserving_swap.integral_comp MeasurableEquiv.prodComm.measurableEmbedding _
#align measure_theory.integral_prod_swap MeasureTheory.integral_prod_swap
variable {E' : Type*} [NormedAddCommGroup E'] [NormedSpace ℝ E']
theorem integral_fn_integral_add ⦃f g : α × β → E⦄ (F : E → E') (hf : Integrable f (μ.prod ν))
(hg : Integrable g (μ.prod ν)) :
(∫ x, F (∫ y, f (x, y) + g (x, y) ∂ν) ∂μ) =
∫ x, F ((∫ y, f (x, y) ∂ν) + ∫ y, g (x, y) ∂ν) ∂μ := by
refine integral_congr_ae ?_
filter_upwards [hf.prod_right_ae, hg.prod_right_ae] with _ h2f h2g
simp [integral_add h2f h2g]
#align measure_theory.integral_fn_integral_add MeasureTheory.integral_fn_integral_add
| Mathlib/MeasureTheory/Constructions/Prod/Integral.lean | 367 | 373 | theorem integral_fn_integral_sub ⦃f g : α × β → E⦄ (F : E → E') (hf : Integrable f (μ.prod ν))
(hg : Integrable g (μ.prod ν)) :
(∫ x, F (∫ y, f (x, y) - g (x, y) ∂ν) ∂μ) =
∫ x, F ((∫ y, f (x, y) ∂ν) - ∫ y, g (x, y) ∂ν) ∂μ := by |
refine integral_congr_ae ?_
filter_upwards [hf.prod_right_ae, hg.prod_right_ae] with _ h2f h2g
simp [integral_sub h2f h2g]
|
import Mathlib.Analysis.SpecialFunctions.Trigonometric.Basic
import Mathlib.Analysis.Normed.Group.AddCircle
import Mathlib.Algebra.CharZero.Quotient
import Mathlib.Topology.Instances.Sign
#align_import analysis.special_functions.trigonometric.angle from "leanprover-community/mathlib"@"213b0cff7bc5ab6696ee07cceec80829ce42efec"
open Real
noncomputable section
namespace Real
-- Porting note: can't derive `NormedAddCommGroup, Inhabited`
def Angle : Type :=
AddCircle (2 * π)
#align real.angle Real.Angle
namespace Angle
-- Porting note (#10754): added due to missing instances due to no deriving
instance : NormedAddCommGroup Angle :=
inferInstanceAs (NormedAddCommGroup (AddCircle (2 * π)))
-- Porting note (#10754): added due to missing instances due to no deriving
instance : Inhabited Angle :=
inferInstanceAs (Inhabited (AddCircle (2 * π)))
-- Porting note (#10754): added due to missing instances due to no deriving
-- also, without this, a plain `QuotientAddGroup.mk`
-- causes coerced terms to be of type `ℝ ⧸ AddSubgroup.zmultiples (2 * π)`
@[coe]
protected def coe (r : ℝ) : Angle := QuotientAddGroup.mk r
instance : Coe ℝ Angle := ⟨Angle.coe⟩
instance : CircularOrder Real.Angle :=
QuotientAddGroup.circularOrder (hp' := ⟨by norm_num [pi_pos]⟩)
@[continuity]
theorem continuous_coe : Continuous ((↑) : ℝ → Angle) :=
continuous_quotient_mk'
#align real.angle.continuous_coe Real.Angle.continuous_coe
def coeHom : ℝ →+ Angle :=
QuotientAddGroup.mk' _
#align real.angle.coe_hom Real.Angle.coeHom
@[simp]
theorem coe_coeHom : (coeHom : ℝ → Angle) = ((↑) : ℝ → Angle) :=
rfl
#align real.angle.coe_coe_hom Real.Angle.coe_coeHom
@[elab_as_elim]
protected theorem induction_on {p : Angle → Prop} (θ : Angle) (h : ∀ x : ℝ, p x) : p θ :=
Quotient.inductionOn' θ h
#align real.angle.induction_on Real.Angle.induction_on
@[simp]
theorem coe_zero : ↑(0 : ℝ) = (0 : Angle) :=
rfl
#align real.angle.coe_zero Real.Angle.coe_zero
@[simp]
theorem coe_add (x y : ℝ) : ↑(x + y : ℝ) = (↑x + ↑y : Angle) :=
rfl
#align real.angle.coe_add Real.Angle.coe_add
@[simp]
theorem coe_neg (x : ℝ) : ↑(-x : ℝ) = -(↑x : Angle) :=
rfl
#align real.angle.coe_neg Real.Angle.coe_neg
@[simp]
theorem coe_sub (x y : ℝ) : ↑(x - y : ℝ) = (↑x - ↑y : Angle) :=
rfl
#align real.angle.coe_sub Real.Angle.coe_sub
theorem coe_nsmul (n : ℕ) (x : ℝ) : ↑(n • x : ℝ) = n • (↑x : Angle) :=
rfl
#align real.angle.coe_nsmul Real.Angle.coe_nsmul
theorem coe_zsmul (z : ℤ) (x : ℝ) : ↑(z • x : ℝ) = z • (↑x : Angle) :=
rfl
#align real.angle.coe_zsmul Real.Angle.coe_zsmul
@[simp, norm_cast]
theorem natCast_mul_eq_nsmul (x : ℝ) (n : ℕ) : ↑((n : ℝ) * x) = n • (↑x : Angle) := by
simpa only [nsmul_eq_mul] using coeHom.map_nsmul x n
#align real.angle.coe_nat_mul_eq_nsmul Real.Angle.natCast_mul_eq_nsmul
@[simp, norm_cast]
theorem intCast_mul_eq_zsmul (x : ℝ) (n : ℤ) : ↑((n : ℝ) * x : ℝ) = n • (↑x : Angle) := by
simpa only [zsmul_eq_mul] using coeHom.map_zsmul x n
#align real.angle.coe_int_mul_eq_zsmul Real.Angle.intCast_mul_eq_zsmul
@[deprecated (since := "2024-05-25")] alias coe_nat_mul_eq_nsmul := natCast_mul_eq_nsmul
@[deprecated (since := "2024-05-25")] alias coe_int_mul_eq_zsmul := intCast_mul_eq_zsmul
theorem angle_eq_iff_two_pi_dvd_sub {ψ θ : ℝ} : (θ : Angle) = ψ ↔ ∃ k : ℤ, θ - ψ = 2 * π * k := by
simp only [QuotientAddGroup.eq, AddSubgroup.zmultiples_eq_closure,
AddSubgroup.mem_closure_singleton, zsmul_eq_mul', (sub_eq_neg_add _ _).symm, eq_comm]
-- Porting note: added `rw`, `simp [Angle.coe, QuotientAddGroup.eq]` doesn't fire otherwise
rw [Angle.coe, Angle.coe, QuotientAddGroup.eq]
simp only [AddSubgroup.zmultiples_eq_closure,
AddSubgroup.mem_closure_singleton, zsmul_eq_mul', (sub_eq_neg_add _ _).symm, eq_comm]
#align real.angle.angle_eq_iff_two_pi_dvd_sub Real.Angle.angle_eq_iff_two_pi_dvd_sub
@[simp]
theorem coe_two_pi : ↑(2 * π : ℝ) = (0 : Angle) :=
angle_eq_iff_two_pi_dvd_sub.2 ⟨1, by rw [sub_zero, Int.cast_one, mul_one]⟩
#align real.angle.coe_two_pi Real.Angle.coe_two_pi
@[simp]
theorem neg_coe_pi : -(π : Angle) = π := by
rw [← coe_neg, angle_eq_iff_two_pi_dvd_sub]
use -1
simp [two_mul, sub_eq_add_neg]
#align real.angle.neg_coe_pi Real.Angle.neg_coe_pi
@[simp]
theorem two_nsmul_coe_div_two (θ : ℝ) : (2 : ℕ) • (↑(θ / 2) : Angle) = θ := by
rw [← coe_nsmul, two_nsmul, add_halves]
#align real.angle.two_nsmul_coe_div_two Real.Angle.two_nsmul_coe_div_two
@[simp]
theorem two_zsmul_coe_div_two (θ : ℝ) : (2 : ℤ) • (↑(θ / 2) : Angle) = θ := by
rw [← coe_zsmul, two_zsmul, add_halves]
#align real.angle.two_zsmul_coe_div_two Real.Angle.two_zsmul_coe_div_two
-- Porting note (#10618): @[simp] can prove it
theorem two_nsmul_neg_pi_div_two : (2 : ℕ) • (↑(-π / 2) : Angle) = π := by
rw [two_nsmul_coe_div_two, coe_neg, neg_coe_pi]
#align real.angle.two_nsmul_neg_pi_div_two Real.Angle.two_nsmul_neg_pi_div_two
-- Porting note (#10618): @[simp] can prove it
theorem two_zsmul_neg_pi_div_two : (2 : ℤ) • (↑(-π / 2) : Angle) = π := by
rw [two_zsmul, ← two_nsmul, two_nsmul_neg_pi_div_two]
#align real.angle.two_zsmul_neg_pi_div_two Real.Angle.two_zsmul_neg_pi_div_two
theorem sub_coe_pi_eq_add_coe_pi (θ : Angle) : θ - π = θ + π := by
rw [sub_eq_add_neg, neg_coe_pi]
#align real.angle.sub_coe_pi_eq_add_coe_pi Real.Angle.sub_coe_pi_eq_add_coe_pi
@[simp]
theorem two_nsmul_coe_pi : (2 : ℕ) • (π : Angle) = 0 := by simp [← natCast_mul_eq_nsmul]
#align real.angle.two_nsmul_coe_pi Real.Angle.two_nsmul_coe_pi
@[simp]
theorem two_zsmul_coe_pi : (2 : ℤ) • (π : Angle) = 0 := by simp [← intCast_mul_eq_zsmul]
#align real.angle.two_zsmul_coe_pi Real.Angle.two_zsmul_coe_pi
@[simp]
theorem coe_pi_add_coe_pi : (π : Real.Angle) + π = 0 := by rw [← two_nsmul, two_nsmul_coe_pi]
#align real.angle.coe_pi_add_coe_pi Real.Angle.coe_pi_add_coe_pi
theorem zsmul_eq_iff {ψ θ : Angle} {z : ℤ} (hz : z ≠ 0) :
z • ψ = z • θ ↔ ∃ k : Fin z.natAbs, ψ = θ + (k : ℕ) • (2 * π / z : ℝ) :=
QuotientAddGroup.zmultiples_zsmul_eq_zsmul_iff hz
#align real.angle.zsmul_eq_iff Real.Angle.zsmul_eq_iff
theorem nsmul_eq_iff {ψ θ : Angle} {n : ℕ} (hz : n ≠ 0) :
n • ψ = n • θ ↔ ∃ k : Fin n, ψ = θ + (k : ℕ) • (2 * π / n : ℝ) :=
QuotientAddGroup.zmultiples_nsmul_eq_nsmul_iff hz
#align real.angle.nsmul_eq_iff Real.Angle.nsmul_eq_iff
theorem two_zsmul_eq_iff {ψ θ : Angle} : (2 : ℤ) • ψ = (2 : ℤ) • θ ↔ ψ = θ ∨ ψ = θ + ↑π := by
-- Porting note: no `Int.natAbs_bit0` anymore
have : Int.natAbs 2 = 2 := rfl
rw [zsmul_eq_iff two_ne_zero, this, Fin.exists_fin_two, Fin.val_zero,
Fin.val_one, zero_smul, add_zero, one_smul, Int.cast_two,
mul_div_cancel_left₀ (_ : ℝ) two_ne_zero]
#align real.angle.two_zsmul_eq_iff Real.Angle.two_zsmul_eq_iff
theorem two_nsmul_eq_iff {ψ θ : Angle} : (2 : ℕ) • ψ = (2 : ℕ) • θ ↔ ψ = θ ∨ ψ = θ + ↑π := by
simp_rw [← natCast_zsmul, Nat.cast_ofNat, two_zsmul_eq_iff]
#align real.angle.two_nsmul_eq_iff Real.Angle.two_nsmul_eq_iff
theorem two_nsmul_eq_zero_iff {θ : Angle} : (2 : ℕ) • θ = 0 ↔ θ = 0 ∨ θ = π := by
convert two_nsmul_eq_iff <;> simp
#align real.angle.two_nsmul_eq_zero_iff Real.Angle.two_nsmul_eq_zero_iff
| Mathlib/Analysis/SpecialFunctions/Trigonometric/Angle.lean | 202 | 203 | theorem two_nsmul_ne_zero_iff {θ : Angle} : (2 : ℕ) • θ ≠ 0 ↔ θ ≠ 0 ∧ θ ≠ π := by |
rw [← not_or, ← two_nsmul_eq_zero_iff]
|
import Mathlib.Algebra.Polynomial.AlgebraMap
import Mathlib.Algebra.Polynomial.BigOperators
import Mathlib.Algebra.Polynomial.Degree.Lemmas
import Mathlib.Algebra.Polynomial.Div
#align_import data.polynomial.ring_division from "leanprover-community/mathlib"@"8efcf8022aac8e01df8d302dcebdbc25d6a886c8"
noncomputable section
open Polynomial
open Finset
namespace Polynomial
universe u v w z
variable {R : Type u} {S : Type v} {T : Type w} {a b : R} {n : ℕ}
section CommRing
variable [CommRing R]
theorem le_rootMultiplicity_iff {p : R[X]} (p0 : p ≠ 0) {a : R} {n : ℕ} :
n ≤ rootMultiplicity a p ↔ (X - C a) ^ n ∣ p := by
classical
rw [rootMultiplicity_eq_nat_find_of_nonzero p0, @Nat.le_find_iff _ (_)]
simp_rw [Classical.not_not]
refine ⟨fun h => ?_, fun h m hm => (pow_dvd_pow _ hm).trans h⟩
cases' n with n;
· rw [pow_zero]
apply one_dvd;
· exact h n n.lt_succ_self
#align polynomial.le_root_multiplicity_iff Polynomial.le_rootMultiplicity_iff
theorem rootMultiplicity_le_iff {p : R[X]} (p0 : p ≠ 0) (a : R) (n : ℕ) :
rootMultiplicity a p ≤ n ↔ ¬(X - C a) ^ (n + 1) ∣ p := by
rw [← (le_rootMultiplicity_iff p0).not, not_le, Nat.lt_add_one_iff]
#align polynomial.root_multiplicity_le_iff Polynomial.rootMultiplicity_le_iff
theorem pow_rootMultiplicity_not_dvd {p : R[X]} (p0 : p ≠ 0) (a : R) :
¬(X - C a) ^ (rootMultiplicity a p + 1) ∣ p := by rw [← rootMultiplicity_le_iff p0]
#align polynomial.pow_root_multiplicity_not_dvd Polynomial.pow_rootMultiplicity_not_dvd
theorem X_sub_C_pow_dvd_iff {p : R[X]} {t : R} {n : ℕ} :
(X - C t) ^ n ∣ p ↔ X ^ n ∣ p.comp (X + C t) := by
convert (map_dvd_iff <| algEquivAevalXAddC t).symm using 2
simp [C_eq_algebraMap]
theorem comp_X_add_C_eq_zero_iff {p : R[X]} (t : R) :
p.comp (X + C t) = 0 ↔ p = 0 := AddEquivClass.map_eq_zero_iff (algEquivAevalXAddC t)
theorem comp_X_add_C_ne_zero_iff {p : R[X]} (t : R) :
p.comp (X + C t) ≠ 0 ↔ p ≠ 0 := Iff.not <| comp_X_add_C_eq_zero_iff t
| Mathlib/Algebra/Polynomial/RingDivision.lean | 459 | 466 | theorem rootMultiplicity_eq_rootMultiplicity {p : R[X]} {t : R} :
p.rootMultiplicity t = (p.comp (X + C t)).rootMultiplicity 0 := by |
classical
simp_rw [rootMultiplicity_eq_multiplicity, comp_X_add_C_eq_zero_iff]
congr; ext; congr 1
rw [C_0, sub_zero]
convert (multiplicity.multiplicity_map_eq <| algEquivAevalXAddC t).symm using 2
simp [C_eq_algebraMap]
|
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)]
| Mathlib/CategoryTheory/Limits/Shapes/Equalizers.lean | 392 | 393 | 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]
|
import Mathlib.Algebra.Group.Subgroup.Basic
import Mathlib.CategoryTheory.Groupoid.VertexGroup
import Mathlib.CategoryTheory.Groupoid.Basic
import Mathlib.CategoryTheory.Groupoid
import Mathlib.Data.Set.Lattice
import Mathlib.Order.GaloisConnection
#align_import category_theory.groupoid.subgroupoid from "leanprover-community/mathlib"@"70fd9563a21e7b963887c9360bd29b2393e6225a"
namespace CategoryTheory
open Set Groupoid
universe u v
variable {C : Type u} [Groupoid C]
@[ext]
structure Subgroupoid (C : Type u) [Groupoid C] where
arrows : ∀ c d : C, Set (c ⟶ d)
protected inv : ∀ {c d} {p : c ⟶ d}, p ∈ arrows c d → Groupoid.inv p ∈ arrows d c
protected mul : ∀ {c d e} {p}, p ∈ arrows c d → ∀ {q}, q ∈ arrows d e → p ≫ q ∈ arrows c e
#align category_theory.subgroupoid CategoryTheory.Subgroupoid
namespace Subgroupoid
variable (S : Subgroupoid C)
| Mathlib/CategoryTheory/Groupoid/Subgroupoid.lean | 82 | 87 | theorem inv_mem_iff {c d : C} (f : c ⟶ d) :
Groupoid.inv f ∈ S.arrows d c ↔ f ∈ S.arrows c d := by |
constructor
· intro h
simpa only [inv_eq_inv, IsIso.inv_inv] using S.inv h
· apply S.inv
|
import Mathlib.Topology.MetricSpace.Isometry
#align_import topology.metric_space.gluing from "leanprover-community/mathlib"@"e1a7bdeb4fd826b7e71d130d34988f0a2d26a177"
noncomputable section
universe u v w
open Function Set Uniformity Topology
namespace Metric
section ApproxGluing
variable {X : Type u} {Y : Type v} {Z : Type w}
variable [MetricSpace X] [MetricSpace Y] {Φ : Z → X} {Ψ : Z → Y} {ε : ℝ}
def glueDist (Φ : Z → X) (Ψ : Z → Y) (ε : ℝ) : Sum X Y → Sum X Y → ℝ
| .inl x, .inl y => dist x y
| .inr x, .inr y => dist x y
| .inl x, .inr y => (⨅ p, dist x (Φ p) + dist y (Ψ p)) + ε
| .inr x, .inl y => (⨅ p, dist y (Φ p) + dist x (Ψ p)) + ε
#align metric.glue_dist Metric.glueDist
private theorem glueDist_self (Φ : Z → X) (Ψ : Z → Y) (ε : ℝ) : ∀ x, glueDist Φ Ψ ε x x = 0
| .inl _ => dist_self _
| .inr _ => dist_self _
theorem glueDist_glued_points [Nonempty Z] (Φ : Z → X) (Ψ : Z → Y) (ε : ℝ) (p : Z) :
glueDist Φ Ψ ε (.inl (Φ p)) (.inr (Ψ p)) = ε := by
have : ⨅ q, dist (Φ p) (Φ q) + dist (Ψ p) (Ψ q) = 0 := by
have A : ∀ q, 0 ≤ dist (Φ p) (Φ q) + dist (Ψ p) (Ψ q) := fun _ =>
add_nonneg dist_nonneg dist_nonneg
refine le_antisymm ?_ (le_ciInf A)
have : 0 = dist (Φ p) (Φ p) + dist (Ψ p) (Ψ p) := by simp
rw [this]
exact ciInf_le ⟨0, forall_mem_range.2 A⟩ p
simp only [glueDist, this, zero_add]
#align metric.glue_dist_glued_points Metric.glueDist_glued_points
private theorem glueDist_comm (Φ : Z → X) (Ψ : Z → Y) (ε : ℝ) :
∀ x y, glueDist Φ Ψ ε x y = glueDist Φ Ψ ε y x
| .inl _, .inl _ => dist_comm _ _
| .inr _, .inr _ => dist_comm _ _
| .inl _, .inr _ => rfl
| .inr _, .inl _ => rfl
theorem glueDist_swap (Φ : Z → X) (Ψ : Z → Y) (ε : ℝ) :
∀ x y, glueDist Ψ Φ ε x.swap y.swap = glueDist Φ Ψ ε x y
| .inl _, .inl _ => rfl
| .inr _, .inr _ => rfl
| .inl _, .inr _ => by simp only [glueDist, Sum.swap_inl, Sum.swap_inr, dist_comm, add_comm]
| .inr _, .inl _ => by simp only [glueDist, Sum.swap_inl, Sum.swap_inr, dist_comm, add_comm]
theorem le_glueDist_inl_inr (Φ : Z → X) (Ψ : Z → Y) (ε : ℝ) (x y) :
ε ≤ glueDist Φ Ψ ε (.inl x) (.inr y) :=
le_add_of_nonneg_left <| Real.iInf_nonneg fun _ => add_nonneg dist_nonneg dist_nonneg
| Mathlib/Topology/MetricSpace/Gluing.lean | 106 | 108 | theorem le_glueDist_inr_inl (Φ : Z → X) (Ψ : Z → Y) (ε : ℝ) (x y) :
ε ≤ glueDist Φ Ψ ε (.inr x) (.inl y) := by |
rw [glueDist_comm]; apply le_glueDist_inl_inr
|
import Mathlib.Algebra.Star.Basic
import Mathlib.Algebra.Order.CauSeq.Completion
#align_import data.real.basic from "leanprover-community/mathlib"@"cb42593171ba005beaaf4549fcfe0dece9ada4c9"
assert_not_exists Finset
assert_not_exists Module
assert_not_exists Submonoid
assert_not_exists FloorRing
structure Real where ofCauchy ::
cauchy : CauSeq.Completion.Cauchy (abs : ℚ → ℚ)
#align real Real
@[inherit_doc]
notation "ℝ" => Real
-- Porting note: unknown attribute
-- attribute [pp_using_anonymous_constructor] Real
namespace Real
open CauSeq CauSeq.Completion
variable {x y : ℝ}
theorem ext_cauchy_iff : ∀ {x y : Real}, x = y ↔ x.cauchy = y.cauchy
| ⟨a⟩, ⟨b⟩ => by rw [ofCauchy.injEq]
#align real.ext_cauchy_iff Real.ext_cauchy_iff
theorem ext_cauchy {x y : Real} : x.cauchy = y.cauchy → x = y :=
ext_cauchy_iff.2
#align real.ext_cauchy Real.ext_cauchy
def equivCauchy : ℝ ≃ CauSeq.Completion.Cauchy (abs : ℚ → ℚ) :=
⟨Real.cauchy, Real.ofCauchy, fun ⟨_⟩ => rfl, fun _ => rfl⟩
set_option linter.uppercaseLean3 false in
#align real.equiv_Cauchy Real.equivCauchy
-- irreducible doesn't work for instances: https://github.com/leanprover-community/lean/issues/511
private irreducible_def zero : ℝ :=
⟨0⟩
private irreducible_def one : ℝ :=
⟨1⟩
private irreducible_def add : ℝ → ℝ → ℝ
| ⟨a⟩, ⟨b⟩ => ⟨a + b⟩
private irreducible_def neg : ℝ → ℝ
| ⟨a⟩ => ⟨-a⟩
private irreducible_def mul : ℝ → ℝ → ℝ
| ⟨a⟩, ⟨b⟩ => ⟨a * b⟩
private noncomputable irreducible_def inv' : ℝ → ℝ
| ⟨a⟩ => ⟨a⁻¹⟩
instance : Zero ℝ :=
⟨zero⟩
instance : One ℝ :=
⟨one⟩
instance : Add ℝ :=
⟨add⟩
instance : Neg ℝ :=
⟨neg⟩
instance : Mul ℝ :=
⟨mul⟩
instance : Sub ℝ :=
⟨fun a b => a + -b⟩
noncomputable instance : Inv ℝ :=
⟨inv'⟩
theorem ofCauchy_zero : (⟨0⟩ : ℝ) = 0 :=
zero_def.symm
#align real.of_cauchy_zero Real.ofCauchy_zero
theorem ofCauchy_one : (⟨1⟩ : ℝ) = 1 :=
one_def.symm
#align real.of_cauchy_one Real.ofCauchy_one
theorem ofCauchy_add (a b) : (⟨a + b⟩ : ℝ) = ⟨a⟩ + ⟨b⟩ :=
(add_def _ _).symm
#align real.of_cauchy_add Real.ofCauchy_add
theorem ofCauchy_neg (a) : (⟨-a⟩ : ℝ) = -⟨a⟩ :=
(neg_def _).symm
#align real.of_cauchy_neg Real.ofCauchy_neg
theorem ofCauchy_sub (a b) : (⟨a - b⟩ : ℝ) = ⟨a⟩ - ⟨b⟩ := by
rw [sub_eq_add_neg, ofCauchy_add, ofCauchy_neg]
rfl
#align real.of_cauchy_sub Real.ofCauchy_sub
theorem ofCauchy_mul (a b) : (⟨a * b⟩ : ℝ) = ⟨a⟩ * ⟨b⟩ :=
(mul_def _ _).symm
#align real.of_cauchy_mul Real.ofCauchy_mul
theorem ofCauchy_inv {f} : (⟨f⁻¹⟩ : ℝ) = ⟨f⟩⁻¹ :=
show _ = inv' _ by rw [inv']
#align real.of_cauchy_inv Real.ofCauchy_inv
theorem cauchy_zero : (0 : ℝ).cauchy = 0 :=
show zero.cauchy = 0 by rw [zero_def]
#align real.cauchy_zero Real.cauchy_zero
theorem cauchy_one : (1 : ℝ).cauchy = 1 :=
show one.cauchy = 1 by rw [one_def]
#align real.cauchy_one Real.cauchy_one
theorem cauchy_add : ∀ a b, (a + b : ℝ).cauchy = a.cauchy + b.cauchy
| ⟨a⟩, ⟨b⟩ => show (add _ _).cauchy = _ by rw [add_def]
#align real.cauchy_add Real.cauchy_add
theorem cauchy_neg : ∀ a, (-a : ℝ).cauchy = -a.cauchy
| ⟨a⟩ => show (neg _).cauchy = _ by rw [neg_def]
#align real.cauchy_neg Real.cauchy_neg
theorem cauchy_mul : ∀ a b, (a * b : ℝ).cauchy = a.cauchy * b.cauchy
| ⟨a⟩, ⟨b⟩ => show (mul _ _).cauchy = _ by rw [mul_def]
#align real.cauchy_mul Real.cauchy_mul
theorem cauchy_sub : ∀ a b, (a - b : ℝ).cauchy = a.cauchy - b.cauchy
| ⟨a⟩, ⟨b⟩ => by
rw [sub_eq_add_neg, ← cauchy_neg, ← cauchy_add]
rfl
#align real.cauchy_sub Real.cauchy_sub
theorem cauchy_inv : ∀ f, (f⁻¹ : ℝ).cauchy = f.cauchy⁻¹
| ⟨f⟩ => show (inv' _).cauchy = _ by rw [inv']
#align real.cauchy_inv Real.cauchy_inv
instance instNatCast : NatCast ℝ where natCast n := ⟨n⟩
instance instIntCast : IntCast ℝ where intCast z := ⟨z⟩
instance instNNRatCast : NNRatCast ℝ where nnratCast q := ⟨q⟩
instance instRatCast : RatCast ℝ where ratCast q := ⟨q⟩
lemma ofCauchy_natCast (n : ℕ) : (⟨n⟩ : ℝ) = n := rfl
lemma ofCauchy_intCast (z : ℤ) : (⟨z⟩ : ℝ) = z := rfl
lemma ofCauchy_nnratCast (q : ℚ≥0) : (⟨q⟩ : ℝ) = q := rfl
lemma ofCauchy_ratCast (q : ℚ) : (⟨q⟩ : ℝ) = q := rfl
#align real.of_cauchy_nat_cast Real.ofCauchy_natCast
#align real.of_cauchy_int_cast Real.ofCauchy_intCast
#align real.of_cauchy_rat_cast Real.ofCauchy_ratCast
lemma cauchy_natCast (n : ℕ) : (n : ℝ).cauchy = n := rfl
lemma cauchy_intCast (z : ℤ) : (z : ℝ).cauchy = z := rfl
lemma cauchy_nnratCast (q : ℚ≥0) : (q : ℝ).cauchy = q := rfl
lemma cauchy_ratCast (q : ℚ) : (q : ℝ).cauchy = q := rfl
#align real.cauchy_nat_cast Real.cauchy_natCast
#align real.cauchy_int_cast Real.cauchy_intCast
#align real.cauchy_rat_cast Real.cauchy_ratCast
instance commRing : CommRing ℝ where
natCast n := ⟨n⟩
intCast z := ⟨z⟩
zero := (0 : ℝ)
one := (1 : ℝ)
mul := (· * ·)
add := (· + ·)
neg := @Neg.neg ℝ _
sub := @Sub.sub ℝ _
npow := @npowRec ℝ ⟨1⟩ ⟨(· * ·)⟩
nsmul := @nsmulRec ℝ ⟨0⟩ ⟨(· + ·)⟩
zsmul := @zsmulRec ℝ ⟨0⟩ ⟨(· + ·)⟩ ⟨@Neg.neg ℝ _⟩ (@nsmulRec ℝ ⟨0⟩ ⟨(· + ·)⟩)
add_zero a := by apply ext_cauchy; simp [cauchy_add, cauchy_zero]
zero_add a := by apply ext_cauchy; simp [cauchy_add, cauchy_zero]
add_comm a b := by apply ext_cauchy; simp only [cauchy_add, add_comm]
add_assoc a b c := by apply ext_cauchy; simp only [cauchy_add, add_assoc]
mul_zero a := by apply ext_cauchy; simp [cauchy_mul, cauchy_zero]
zero_mul a := by apply ext_cauchy; simp [cauchy_mul, cauchy_zero]
mul_one a := by apply ext_cauchy; simp [cauchy_mul, cauchy_one]
one_mul a := by apply ext_cauchy; simp [cauchy_mul, cauchy_one]
mul_comm a b := by apply ext_cauchy; simp only [cauchy_mul, mul_comm]
mul_assoc a b c := by apply ext_cauchy; simp only [cauchy_mul, mul_assoc]
left_distrib a b c := by apply ext_cauchy; simp only [cauchy_add, cauchy_mul, mul_add]
right_distrib a b c := by apply ext_cauchy; simp only [cauchy_add, cauchy_mul, add_mul]
add_left_neg a := by apply ext_cauchy; simp [cauchy_add, cauchy_neg, cauchy_zero]
natCast_zero := by apply ext_cauchy; simp [cauchy_zero]
natCast_succ n := by apply ext_cauchy; simp [cauchy_one, cauchy_add]
intCast_negSucc z := by apply ext_cauchy; simp [cauchy_neg, cauchy_natCast]
@[simps]
def ringEquivCauchy : ℝ ≃+* CauSeq.Completion.Cauchy (abs : ℚ → ℚ) :=
{ equivCauchy with
toFun := cauchy
invFun := ofCauchy
map_add' := cauchy_add
map_mul' := cauchy_mul }
set_option linter.uppercaseLean3 false in
#align real.ring_equiv_Cauchy Real.ringEquivCauchy
set_option linter.uppercaseLean3 false in
#align real.ring_equiv_Cauchy_apply Real.ringEquivCauchy_apply
set_option linter.uppercaseLean3 false in
#align real.ring_equiv_Cauchy_symm_apply_cauchy Real.ringEquivCauchy_symm_apply_cauchy
instance instRing : Ring ℝ := by infer_instance
instance : CommSemiring ℝ := by infer_instance
instance semiring : Semiring ℝ := by infer_instance
instance : CommMonoidWithZero ℝ := by infer_instance
instance : MonoidWithZero ℝ := by infer_instance
instance : AddCommGroup ℝ := by infer_instance
instance : AddGroup ℝ := by infer_instance
instance : AddCommMonoid ℝ := by infer_instance
instance : AddMonoid ℝ := by infer_instance
instance : AddLeftCancelSemigroup ℝ := by infer_instance
instance : AddRightCancelSemigroup ℝ := by infer_instance
instance : AddCommSemigroup ℝ := by infer_instance
instance : AddSemigroup ℝ := by infer_instance
instance : CommMonoid ℝ := by infer_instance
instance : Monoid ℝ := by infer_instance
instance : CommSemigroup ℝ := by infer_instance
instance : Semigroup ℝ := by infer_instance
instance : Inhabited ℝ :=
⟨0⟩
instance : StarRing ℝ :=
starRingOfComm
instance : TrivialStar ℝ :=
⟨fun _ => rfl⟩
def mk (x : CauSeq ℚ abs) : ℝ :=
⟨CauSeq.Completion.mk x⟩
#align real.mk Real.mk
theorem mk_eq {f g : CauSeq ℚ abs} : mk f = mk g ↔ f ≈ g :=
ext_cauchy_iff.trans CauSeq.Completion.mk_eq
#align real.mk_eq Real.mk_eq
private irreducible_def lt : ℝ → ℝ → Prop
| ⟨x⟩, ⟨y⟩ =>
(Quotient.liftOn₂ x y (· < ·)) fun _ _ _ _ hf hg =>
propext <|
⟨fun h => lt_of_eq_of_lt (Setoid.symm hf) (lt_of_lt_of_eq h hg), fun h =>
lt_of_eq_of_lt hf (lt_of_lt_of_eq h (Setoid.symm hg))⟩
instance : LT ℝ :=
⟨lt⟩
theorem lt_cauchy {f g} : (⟨⟦f⟧⟩ : ℝ) < ⟨⟦g⟧⟩ ↔ f < g :=
show lt _ _ ↔ _ by rw [lt_def]; rfl
#align real.lt_cauchy Real.lt_cauchy
@[simp]
theorem mk_lt {f g : CauSeq ℚ abs} : mk f < mk g ↔ f < g :=
lt_cauchy
#align real.mk_lt Real.mk_lt
theorem mk_zero : mk 0 = 0 := by rw [← ofCauchy_zero]; rfl
#align real.mk_zero Real.mk_zero
theorem mk_one : mk 1 = 1 := by rw [← ofCauchy_one]; rfl
#align real.mk_one Real.mk_one
theorem mk_add {f g : CauSeq ℚ abs} : mk (f + g) = mk f + mk g := by simp [mk, ← ofCauchy_add]
#align real.mk_add Real.mk_add
theorem mk_mul {f g : CauSeq ℚ abs} : mk (f * g) = mk f * mk g := by simp [mk, ← ofCauchy_mul]
#align real.mk_mul Real.mk_mul
theorem mk_neg {f : CauSeq ℚ abs} : mk (-f) = -mk f := by simp [mk, ← ofCauchy_neg]
#align real.mk_neg Real.mk_neg
@[simp]
theorem mk_pos {f : CauSeq ℚ abs} : 0 < mk f ↔ Pos f := by
rw [← mk_zero, mk_lt]
exact iff_of_eq (congr_arg Pos (sub_zero f))
#align real.mk_pos Real.mk_pos
private irreducible_def le (x y : ℝ) : Prop :=
x < y ∨ x = y
instance : LE ℝ :=
⟨le⟩
private theorem le_def' {x y : ℝ} : x ≤ y ↔ x < y ∨ x = y :=
show le _ _ ↔ _ by rw [le_def]
@[simp]
| Mathlib/Data/Real/Basic.lean | 347 | 348 | theorem mk_le {f g : CauSeq ℚ abs} : mk f ≤ mk g ↔ f ≤ g := by |
simp only [le_def', mk_lt, mk_eq]; rfl
|
import Mathlib.Topology.MetricSpace.ProperSpace
import Mathlib.Topology.MetricSpace.Cauchy
open Set Filter Bornology
open scoped ENNReal Uniformity Topology Pointwise
universe u v w
variable {α : Type u} {β : Type v} {X ι : Type*}
variable [PseudoMetricSpace α]
namespace Metric
#align metric.bounded Bornology.IsBounded
section Bounded
variable {x : α} {s t : Set α} {r : ℝ}
#noalign metric.bounded_iff_is_bounded
#align metric.bounded_empty Bornology.isBounded_empty
#align metric.bounded_iff_mem_bounded Bornology.isBounded_iff_forall_mem
#align metric.bounded.mono Bornology.IsBounded.subset
theorem isBounded_closedBall : IsBounded (closedBall x r) :=
isBounded_iff.2 ⟨r + r, fun y hy z hz =>
calc dist y z ≤ dist y x + dist z x := dist_triangle_right _ _ _
_ ≤ r + r := add_le_add hy hz⟩
#align metric.bounded_closed_ball Metric.isBounded_closedBall
theorem isBounded_ball : IsBounded (ball x r) :=
isBounded_closedBall.subset ball_subset_closedBall
#align metric.bounded_ball Metric.isBounded_ball
theorem isBounded_sphere : IsBounded (sphere x r) :=
isBounded_closedBall.subset sphere_subset_closedBall
#align metric.bounded_sphere Metric.isBounded_sphere
theorem isBounded_iff_subset_closedBall (c : α) : IsBounded s ↔ ∃ r, s ⊆ closedBall c r :=
⟨fun h ↦ (isBounded_iff.1 (h.insert c)).imp fun _r hr _x hx ↦ hr (.inr hx) (mem_insert _ _),
fun ⟨_r, hr⟩ ↦ isBounded_closedBall.subset hr⟩
#align metric.bounded_iff_subset_ball Metric.isBounded_iff_subset_closedBall
theorem _root_.Bornology.IsBounded.subset_closedBall (h : IsBounded s) (c : α) :
∃ r, s ⊆ closedBall c r :=
(isBounded_iff_subset_closedBall c).1 h
#align metric.bounded.subset_ball Bornology.IsBounded.subset_closedBall
theorem _root_.Bornology.IsBounded.subset_ball_lt (h : IsBounded s) (a : ℝ) (c : α) :
∃ r, a < r ∧ s ⊆ ball c r :=
let ⟨r, hr⟩ := h.subset_closedBall c
⟨max r a + 1, (le_max_right _ _).trans_lt (lt_add_one _), hr.trans <| closedBall_subset_ball <|
(le_max_left _ _).trans_lt (lt_add_one _)⟩
theorem _root_.Bornology.IsBounded.subset_ball (h : IsBounded s) (c : α) : ∃ r, s ⊆ ball c r :=
(h.subset_ball_lt 0 c).imp fun _ ↦ And.right
theorem isBounded_iff_subset_ball (c : α) : IsBounded s ↔ ∃ r, s ⊆ ball c r :=
⟨(IsBounded.subset_ball · c), fun ⟨_r, hr⟩ ↦ isBounded_ball.subset hr⟩
theorem _root_.Bornology.IsBounded.subset_closedBall_lt (h : IsBounded s) (a : ℝ) (c : α) :
∃ r, a < r ∧ s ⊆ closedBall c r :=
let ⟨r, har, hr⟩ := h.subset_ball_lt a c
⟨r, har, hr.trans ball_subset_closedBall⟩
#align metric.bounded.subset_ball_lt Bornology.IsBounded.subset_closedBall_lt
theorem isBounded_closure_of_isBounded (h : IsBounded s) : IsBounded (closure s) :=
let ⟨C, h⟩ := isBounded_iff.1 h
isBounded_iff.2 ⟨C, fun _a ha _b hb => isClosed_Iic.closure_subset <|
map_mem_closure₂ continuous_dist ha hb h⟩
#align metric.bounded_closure_of_bounded Metric.isBounded_closure_of_isBounded
protected theorem _root_.Bornology.IsBounded.closure (h : IsBounded s) : IsBounded (closure s) :=
isBounded_closure_of_isBounded h
#align metric.bounded.closure Bornology.IsBounded.closure
@[simp]
theorem isBounded_closure_iff : IsBounded (closure s) ↔ IsBounded s :=
⟨fun h => h.subset subset_closure, fun h => h.closure⟩
#align metric.bounded_closure_iff Metric.isBounded_closure_iff
#align metric.bounded_union Bornology.isBounded_union
#align metric.bounded.union Bornology.IsBounded.union
#align metric.bounded_bUnion Bornology.isBounded_biUnion
#align metric.bounded.prod Bornology.IsBounded.prod
theorem hasBasis_cobounded_compl_closedBall (c : α) :
(cobounded α).HasBasis (fun _ ↦ True) (fun r ↦ (closedBall c r)ᶜ) :=
⟨compl_surjective.forall.2 fun _ ↦ (isBounded_iff_subset_closedBall c).trans <| by simp⟩
theorem hasBasis_cobounded_compl_ball (c : α) :
(cobounded α).HasBasis (fun _ ↦ True) (fun r ↦ (ball c r)ᶜ) :=
⟨compl_surjective.forall.2 fun _ ↦ (isBounded_iff_subset_ball c).trans <| by simp⟩
@[simp]
theorem comap_dist_right_atTop (c : α) : comap (dist · c) atTop = cobounded α :=
(atTop_basis.comap _).eq_of_same_basis <| by
simpa only [compl_def, mem_ball, not_lt] using hasBasis_cobounded_compl_ball c
@[simp]
theorem comap_dist_left_atTop (c : α) : comap (dist c) atTop = cobounded α := by
simpa only [dist_comm _ c] using comap_dist_right_atTop c
@[simp]
theorem tendsto_dist_right_atTop_iff (c : α) {f : β → α} {l : Filter β} :
Tendsto (fun x ↦ dist (f x) c) l atTop ↔ Tendsto f l (cobounded α) := by
rw [← comap_dist_right_atTop c, tendsto_comap_iff, Function.comp_def]
@[simp]
theorem tendsto_dist_left_atTop_iff (c : α) {f : β → α} {l : Filter β} :
Tendsto (fun x ↦ dist c (f x)) l atTop ↔ Tendsto f l (cobounded α) := by
simp only [dist_comm c, tendsto_dist_right_atTop_iff]
theorem tendsto_dist_right_cobounded_atTop (c : α) : Tendsto (dist · c) (cobounded α) atTop :=
tendsto_iff_comap.2 (comap_dist_right_atTop c).ge
theorem tendsto_dist_left_cobounded_atTop (c : α) : Tendsto (dist c) (cobounded α) atTop :=
tendsto_iff_comap.2 (comap_dist_left_atTop c).ge
theorem _root_.TotallyBounded.isBounded {s : Set α} (h : TotallyBounded s) : IsBounded s :=
-- We cover the totally bounded set by finitely many balls of radius 1,
-- and then argue that a finite union of bounded sets is bounded
let ⟨_t, fint, subs⟩ := (totallyBounded_iff.mp h) 1 zero_lt_one
((isBounded_biUnion fint).2 fun _ _ => isBounded_ball).subset subs
#align totally_bounded.bounded TotallyBounded.isBounded
theorem _root_.IsCompact.isBounded {s : Set α} (h : IsCompact s) : IsBounded s :=
-- A compact set is totally bounded, thus bounded
h.totallyBounded.isBounded
#align is_compact.bounded IsCompact.isBounded
#align metric.bounded_of_finite Set.Finite.isBounded
#align set.finite.bounded Set.Finite.isBounded
#align metric.bounded_singleton Bornology.isBounded_singleton
theorem cobounded_le_cocompact : cobounded α ≤ cocompact α :=
hasBasis_cocompact.ge_iff.2 fun _s hs ↦ hs.isBounded
#align comap_dist_right_at_top_le_cocompact Metric.cobounded_le_cocompactₓ
#align comap_dist_left_at_top_le_cocompact Metric.cobounded_le_cocompactₓ
theorem isCobounded_iff_closedBall_compl_subset {s : Set α} (c : α) :
IsCobounded s ↔ ∃ (r : ℝ), (Metric.closedBall c r)ᶜ ⊆ s := by
rw [← isBounded_compl_iff, isBounded_iff_subset_closedBall c]
apply exists_congr
intro r
rw [compl_subset_comm]
theorem _root_.Bornology.IsCobounded.closedBall_compl_subset {s : Set α} (hs : IsCobounded s)
(c : α) : ∃ (r : ℝ), (Metric.closedBall c r)ᶜ ⊆ s :=
(isCobounded_iff_closedBall_compl_subset c).mp hs
theorem closedBall_compl_subset_of_mem_cocompact {s : Set α} (hs : s ∈ cocompact α) (c : α) :
∃ (r : ℝ), (Metric.closedBall c r)ᶜ ⊆ s :=
IsCobounded.closedBall_compl_subset (cobounded_le_cocompact hs) c
theorem mem_cocompact_of_closedBall_compl_subset [ProperSpace α] (c : α)
(h : ∃ r, (closedBall c r)ᶜ ⊆ s) : s ∈ cocompact α := by
rcases h with ⟨r, h⟩
rw [Filter.mem_cocompact]
exact ⟨closedBall c r, isCompact_closedBall c r, h⟩
theorem mem_cocompact_iff_closedBall_compl_subset [ProperSpace α] (c : α) :
s ∈ cocompact α ↔ ∃ r, (closedBall c r)ᶜ ⊆ s :=
⟨(closedBall_compl_subset_of_mem_cocompact · _), mem_cocompact_of_closedBall_compl_subset _⟩
theorem isBounded_range_iff {f : β → α} : IsBounded (range f) ↔ ∃ C, ∀ x y, dist (f x) (f y) ≤ C :=
isBounded_iff.trans <| by simp only [forall_mem_range]
#align metric.bounded_range_iff Metric.isBounded_range_iff
theorem isBounded_image_iff {f : β → α} {s : Set β} :
IsBounded (f '' s) ↔ ∃ C, ∀ x ∈ s, ∀ y ∈ s, dist (f x) (f y) ≤ C :=
isBounded_iff.trans <| by simp only [forall_mem_image]
theorem isBounded_range_of_tendsto_cofinite_uniformity {f : β → α}
(hf : Tendsto (Prod.map f f) (.cofinite ×ˢ .cofinite) (𝓤 α)) : IsBounded (range f) := by
rcases (hasBasis_cofinite.prod_self.tendsto_iff uniformity_basis_dist).1 hf 1 zero_lt_one with
⟨s, hsf, hs1⟩
rw [← image_union_image_compl_eq_range]
refine (hsf.image f).isBounded.union (isBounded_image_iff.2 ⟨1, fun x hx y hy ↦ ?_⟩)
exact le_of_lt (hs1 (x, y) ⟨hx, hy⟩)
#align metric.bounded_range_of_tendsto_cofinite_uniformity Metric.isBounded_range_of_tendsto_cofinite_uniformity
theorem isBounded_range_of_cauchy_map_cofinite {f : β → α} (hf : Cauchy (map f cofinite)) :
IsBounded (range f) :=
isBounded_range_of_tendsto_cofinite_uniformity <| (cauchy_map_iff.1 hf).2
#align metric.bounded_range_of_cauchy_map_cofinite Metric.isBounded_range_of_cauchy_map_cofinite
theorem _root_.CauchySeq.isBounded_range {f : ℕ → α} (hf : CauchySeq f) : IsBounded (range f) :=
isBounded_range_of_cauchy_map_cofinite <| by rwa [Nat.cofinite_eq_atTop]
#align cauchy_seq.bounded_range CauchySeq.isBounded_range
theorem isBounded_range_of_tendsto_cofinite {f : β → α} {a : α} (hf : Tendsto f cofinite (𝓝 a)) :
IsBounded (range f) :=
isBounded_range_of_tendsto_cofinite_uniformity <|
(hf.prod_map hf).mono_right <| nhds_prod_eq.symm.trans_le (nhds_le_uniformity a)
#align metric.bounded_range_of_tendsto_cofinite Metric.isBounded_range_of_tendsto_cofinite
theorem isBounded_of_compactSpace [CompactSpace α] : IsBounded s :=
isCompact_univ.isBounded.subset (subset_univ _)
#align metric.bounded_of_compact_space Metric.isBounded_of_compactSpace
theorem isBounded_range_of_tendsto (u : ℕ → α) {x : α} (hu : Tendsto u atTop (𝓝 x)) :
IsBounded (range u) :=
hu.cauchySeq.isBounded_range
#align metric.bounded_range_of_tendsto Metric.isBounded_range_of_tendsto
theorem disjoint_nhds_cobounded (x : α) : Disjoint (𝓝 x) (cobounded α) :=
disjoint_of_disjoint_of_mem disjoint_compl_right (ball_mem_nhds _ one_pos) isBounded_ball
theorem disjoint_cobounded_nhds (x : α) : Disjoint (cobounded α) (𝓝 x) :=
(disjoint_nhds_cobounded x).symm
theorem disjoint_nhdsSet_cobounded {s : Set α} (hs : IsCompact s) : Disjoint (𝓝ˢ s) (cobounded α) :=
hs.disjoint_nhdsSet_left.2 fun _ _ ↦ disjoint_nhds_cobounded _
theorem disjoint_cobounded_nhdsSet {s : Set α} (hs : IsCompact s) : Disjoint (cobounded α) (𝓝ˢ s) :=
(disjoint_nhdsSet_cobounded hs).symm
theorem exists_isBounded_image_of_tendsto {α β : Type*} [PseudoMetricSpace β]
{l : Filter α} {f : α → β} {x : β} (hf : Tendsto f l (𝓝 x)) :
∃ s ∈ l, IsBounded (f '' s) :=
(l.basis_sets.map f).disjoint_iff_left.mp <| (disjoint_nhds_cobounded x).mono_left hf
theorem exists_isOpen_isBounded_image_inter_of_isCompact_of_forall_continuousWithinAt
[TopologicalSpace β] {k s : Set β} {f : β → α} (hk : IsCompact k)
(hf : ∀ x ∈ k, ContinuousWithinAt f s x) :
∃ t, k ⊆ t ∧ IsOpen t ∧ IsBounded (f '' (t ∩ s)) := by
have : Disjoint (𝓝ˢ k ⊓ 𝓟 s) (comap f (cobounded α)) := by
rw [disjoint_assoc, inf_comm, hk.disjoint_nhdsSet_left]
exact fun x hx ↦ disjoint_left_comm.2 <|
tendsto_comap.disjoint (disjoint_cobounded_nhds _) (hf x hx)
rcases ((((hasBasis_nhdsSet _).inf_principal _)).disjoint_iff ((basis_sets _).comap _)).1 this
with ⟨U, ⟨hUo, hkU⟩, t, ht, hd⟩
refine ⟨U, hkU, hUo, (isBounded_compl_iff.2 ht).subset ?_⟩
rwa [image_subset_iff, preimage_compl, subset_compl_iff_disjoint_right]
#align metric.exists_is_open_bounded_image_inter_of_is_compact_of_forall_continuous_within_at Metric.exists_isOpen_isBounded_image_inter_of_isCompact_of_forall_continuousWithinAt
theorem exists_isOpen_isBounded_image_of_isCompact_of_forall_continuousAt [TopologicalSpace β]
{k : Set β} {f : β → α} (hk : IsCompact k) (hf : ∀ x ∈ k, ContinuousAt f x) :
∃ t, k ⊆ t ∧ IsOpen t ∧ IsBounded (f '' t) := by
simp_rw [← continuousWithinAt_univ] at hf
simpa only [inter_univ] using
exists_isOpen_isBounded_image_inter_of_isCompact_of_forall_continuousWithinAt hk hf
#align metric.exists_is_open_bounded_image_of_is_compact_of_forall_continuous_at Metric.exists_isOpen_isBounded_image_of_isCompact_of_forall_continuousAt
theorem exists_isOpen_isBounded_image_inter_of_isCompact_of_continuousOn [TopologicalSpace β]
{k s : Set β} {f : β → α} (hk : IsCompact k) (hks : k ⊆ s) (hf : ContinuousOn f s) :
∃ t, k ⊆ t ∧ IsOpen t ∧ IsBounded (f '' (t ∩ s)) :=
exists_isOpen_isBounded_image_inter_of_isCompact_of_forall_continuousWithinAt hk fun x hx =>
hf x (hks hx)
#align metric.exists_is_open_bounded_image_inter_of_is_compact_of_continuous_on Metric.exists_isOpen_isBounded_image_inter_of_isCompact_of_continuousOn
theorem exists_isOpen_isBounded_image_of_isCompact_of_continuousOn [TopologicalSpace β]
{k s : Set β} {f : β → α} (hk : IsCompact k) (hs : IsOpen s) (hks : k ⊆ s)
(hf : ContinuousOn f s) : ∃ t, k ⊆ t ∧ IsOpen t ∧ IsBounded (f '' t) :=
exists_isOpen_isBounded_image_of_isCompact_of_forall_continuousAt hk fun _x hx =>
hf.continuousAt (hs.mem_nhds (hks hx))
#align metric.exists_is_open_bounded_image_of_is_compact_of_continuous_on Metric.exists_isOpen_isBounded_image_of_isCompact_of_continuousOn
theorem isCompact_of_isClosed_isBounded [ProperSpace α] (hc : IsClosed s) (hb : IsBounded s) :
IsCompact s := by
rcases eq_empty_or_nonempty s with (rfl | ⟨x, -⟩)
· exact isCompact_empty
· rcases hb.subset_closedBall x with ⟨r, hr⟩
exact (isCompact_closedBall x r).of_isClosed_subset hc hr
#align metric.is_compact_of_is_closed_bounded Metric.isCompact_of_isClosed_isBounded
theorem _root_.Bornology.IsBounded.isCompact_closure [ProperSpace α] (h : IsBounded s) :
IsCompact (closure s) :=
isCompact_of_isClosed_isBounded isClosed_closure h.closure
#align metric.bounded.is_compact_closure Bornology.IsBounded.isCompact_closure
-- Porting note (#11215): TODO: assume `[MetricSpace α]`
-- instead of `[PseudoMetricSpace α] [T2Space α]`
theorem isCompact_iff_isClosed_bounded [T2Space α] [ProperSpace α] :
IsCompact s ↔ IsClosed s ∧ IsBounded s :=
⟨fun h => ⟨h.isClosed, h.isBounded⟩, fun h => isCompact_of_isClosed_isBounded h.1 h.2⟩
#align metric.is_compact_iff_is_closed_bounded Metric.isCompact_iff_isClosed_bounded
theorem compactSpace_iff_isBounded_univ [ProperSpace α] :
CompactSpace α ↔ IsBounded (univ : Set α) :=
⟨@isBounded_of_compactSpace α _ _, fun hb => ⟨isCompact_of_isClosed_isBounded isClosed_univ hb⟩⟩
#align metric.compact_space_iff_bounded_univ Metric.compactSpace_iff_isBounded_univ
section Diam
variable {s : Set α} {x y z : α}
noncomputable def diam (s : Set α) : ℝ :=
ENNReal.toReal (EMetric.diam s)
#align metric.diam Metric.diam
theorem diam_nonneg : 0 ≤ diam s :=
ENNReal.toReal_nonneg
#align metric.diam_nonneg Metric.diam_nonneg
theorem diam_subsingleton (hs : s.Subsingleton) : diam s = 0 := by
simp only [diam, EMetric.diam_subsingleton hs, ENNReal.zero_toReal]
#align metric.diam_subsingleton Metric.diam_subsingleton
@[simp]
theorem diam_empty : diam (∅ : Set α) = 0 :=
diam_subsingleton subsingleton_empty
#align metric.diam_empty Metric.diam_empty
@[simp]
theorem diam_singleton : diam ({x} : Set α) = 0 :=
diam_subsingleton subsingleton_singleton
#align metric.diam_singleton Metric.diam_singleton
@[to_additive (attr := simp)]
theorem diam_one [One α] : diam (1 : Set α) = 0 :=
diam_singleton
#align metric.diam_one Metric.diam_one
#align metric.diam_zero Metric.diam_zero
-- Does not work as a simp-lemma, since {x, y} reduces to (insert y {x})
| Mathlib/Topology/MetricSpace/Bounded.lean | 420 | 421 | theorem diam_pair : diam ({x, y} : Set α) = dist x y := by |
simp only [diam, EMetric.diam_pair, dist_edist]
|
import Mathlib.LinearAlgebra.CliffordAlgebra.Fold
import Mathlib.LinearAlgebra.CliffordAlgebra.Grading
#align_import linear_algebra.clifford_algebra.even from "leanprover-community/mathlib"@"9264b15ee696b7ca83f13c8ad67c83d6eb70b730"
namespace CliffordAlgebra
-- Porting note: explicit universes
universe uR uM uA uB
variable {R : Type uR} {M : Type uM} [CommRing R] [AddCommGroup M] [Module R M]
variable {Q : QuadraticForm R M}
-- put this after `Q` since we want to talk about morphisms from `CliffordAlgebra Q` to `A` and
-- that order is more natural
variable {A : Type uA} {B : Type uB} [Ring A] [Ring B] [Algebra R A] [Algebra R B]
open scoped DirectSum
variable (Q)
def even : Subalgebra R (CliffordAlgebra Q) :=
(evenOdd Q 0).toSubalgebra (SetLike.one_mem_graded _) fun _x _y hx hy =>
add_zero (0 : ZMod 2) ▸ SetLike.mul_mem_graded hx hy
#align clifford_algebra.even CliffordAlgebra.even
-- Porting note: added, otherwise Lean can't find this when it needs it
instance : AddCommMonoid (even Q) := AddSubmonoidClass.toAddCommMonoid _
@[simp]
theorem even_toSubmodule : Subalgebra.toSubmodule (even Q) = evenOdd Q 0 :=
rfl
#align clifford_algebra.even_to_submodule CliffordAlgebra.even_toSubmodule
variable (A)
@[ext]
structure EvenHom : Type max uA uM where
bilin : M →ₗ[R] M →ₗ[R] A
contract (m : M) : bilin m m = algebraMap R A (Q m)
contract_mid (m₁ m₂ m₃ : M) : bilin m₁ m₂ * bilin m₂ m₃ = Q m₂ • bilin m₁ m₃
#align clifford_algebra.even_hom CliffordAlgebra.EvenHom
variable {A Q}
@[simps]
def EvenHom.compr₂ (g : EvenHom Q A) (f : A →ₐ[R] B) : EvenHom Q B where
bilin := g.bilin.compr₂ f.toLinearMap
contract _m := (f.congr_arg <| g.contract _).trans <| f.commutes _
contract_mid _m₁ _m₂ _m₃ :=
(f.map_mul _ _).symm.trans <| (f.congr_arg <| g.contract_mid _ _ _).trans <| f.map_smul _ _
#align clifford_algebra.even_hom.compr₂ CliffordAlgebra.EvenHom.compr₂
variable (Q)
nonrec def even.ι : EvenHom Q (even Q) where
bilin :=
LinearMap.mk₂ R (fun m₁ m₂ => ⟨ι Q m₁ * ι Q m₂, ι_mul_ι_mem_evenOdd_zero Q _ _⟩)
(fun _ _ _ => by simp only [LinearMap.map_add, add_mul]; rfl)
(fun _ _ _ => by simp only [LinearMap.map_smul, smul_mul_assoc]; rfl)
(fun _ _ _ => by simp only [LinearMap.map_add, mul_add]; rfl) fun _ _ _ => by
simp only [LinearMap.map_smul, mul_smul_comm]; rfl
contract m := Subtype.ext <| ι_sq_scalar Q m
contract_mid m₁ m₂ m₃ :=
Subtype.ext <|
calc
ι Q m₁ * ι Q m₂ * (ι Q m₂ * ι Q m₃) = ι Q m₁ * (ι Q m₂ * ι Q m₂ * ι Q m₃) := by
simp only [mul_assoc]
_ = Q m₂ • (ι Q m₁ * ι Q m₃) := by rw [Algebra.smul_def, ι_sq_scalar, Algebra.left_comm]
#align clifford_algebra.even.ι CliffordAlgebra.even.ι
instance : Inhabited (EvenHom Q (even Q)) :=
⟨even.ι Q⟩
variable (f : EvenHom Q A)
@[ext high]
| Mathlib/LinearAlgebra/CliffordAlgebra/Even.lean | 116 | 128 | theorem even.algHom_ext ⦃f g : even Q →ₐ[R] A⦄ (h : (even.ι Q).compr₂ f = (even.ι Q).compr₂ g) :
f = g := by |
rw [EvenHom.ext_iff] at h
ext ⟨x, hx⟩
induction x, hx using even_induction with
| algebraMap r =>
exact (f.commutes r).trans (g.commutes r).symm
| add x y hx hy ihx ihy =>
have := congr_arg₂ (· + ·) ihx ihy
exact (f.map_add _ _).trans (this.trans <| (g.map_add _ _).symm)
| ι_mul_ι_mul m₁ m₂ x hx ih =>
have := congr_arg₂ (· * ·) (LinearMap.congr_fun (LinearMap.congr_fun h m₁) m₂) ih
exact (f.map_mul _ _).trans (this.trans <| (g.map_mul _ _).symm)
|
import Mathlib.NumberTheory.ModularForms.JacobiTheta.TwoVariable
import Mathlib.Analysis.Complex.UpperHalfPlane.Basic
#align_import number_theory.modular_forms.jacobi_theta.basic from "leanprover-community/mathlib"@"57f9349f2fe19d2de7207e99b0341808d977cdcf"
open Complex Real Asymptotics Filter Topology
open scoped Real UpperHalfPlane
noncomputable def jacobiTheta (τ : ℂ) : ℂ := ∑' n : ℤ, cexp (π * I * (n : ℂ) ^ 2 * τ)
#align jacobi_theta jacobiTheta
lemma jacobiTheta_eq_jacobiTheta₂ (τ : ℂ) : jacobiTheta τ = jacobiTheta₂ 0 τ :=
tsum_congr (by simp [jacobiTheta₂_term])
theorem jacobiTheta_two_add (τ : ℂ) : jacobiTheta (2 + τ) = jacobiTheta τ := by
simp_rw [jacobiTheta_eq_jacobiTheta₂, add_comm, jacobiTheta₂_add_right]
#align jacobi_theta_two_add jacobiTheta_two_add
theorem jacobiTheta_T_sq_smul (τ : ℍ) : jacobiTheta (ModularGroup.T ^ 2 • τ :) = jacobiTheta τ := by
suffices (ModularGroup.T ^ 2 • τ :) = (2 : ℂ) + ↑τ by simp_rw [this, jacobiTheta_two_add]
have : ModularGroup.T ^ (2 : ℕ) = ModularGroup.T ^ (2 : ℤ) := rfl
simp_rw [this, UpperHalfPlane.modular_T_zpow_smul, UpperHalfPlane.coe_vadd]
norm_cast
set_option linter.uppercaseLean3 false in
#align jacobi_theta_T_sq_smul jacobiTheta_T_sq_smul
theorem jacobiTheta_S_smul (τ : ℍ) :
jacobiTheta ↑(ModularGroup.S • τ) = (-I * τ) ^ (1 / 2 : ℂ) * jacobiTheta τ := by
have h0 : (τ : ℂ) ≠ 0 := ne_of_apply_ne im (zero_im.symm ▸ ne_of_gt τ.2)
have h1 : (-I * τ) ^ (1 / 2 : ℂ) ≠ 0 := by
rw [Ne, cpow_eq_zero_iff, not_and_or]
exact Or.inl <| mul_ne_zero (neg_ne_zero.mpr I_ne_zero) h0
simp_rw [UpperHalfPlane.modular_S_smul, jacobiTheta_eq_jacobiTheta₂]
conv_rhs => erw [← ofReal_zero, jacobiTheta₂_functional_equation 0 τ]
rw [zero_pow two_ne_zero, mul_zero, zero_div, Complex.exp_zero, mul_one, ← mul_assoc, mul_one_div,
div_self h1, one_mul, UpperHalfPlane.coe_mk, inv_neg, neg_div, one_div]
set_option linter.uppercaseLean3 false in
#align jacobi_theta_S_smul jacobiTheta_S_smul
theorem norm_exp_mul_sq_le {τ : ℂ} (hτ : 0 < τ.im) (n : ℤ) :
‖cexp (π * I * (n : ℂ) ^ 2 * τ)‖ ≤ rexp (-π * τ.im) ^ n.natAbs := by
let y := rexp (-π * τ.im)
have h : y < 1 := exp_lt_one_iff.mpr (mul_neg_of_neg_of_pos (neg_lt_zero.mpr pi_pos) hτ)
refine (le_of_eq ?_).trans (?_ : y ^ n ^ 2 ≤ _)
· rw [Complex.norm_eq_abs, Complex.abs_exp]
have : (π * I * n ^ 2 * τ : ℂ).re = -π * τ.im * (n : ℝ) ^ 2 := by
rw [(by push_cast; ring : (π * I * n ^ 2 * τ : ℂ) = (π * n ^ 2 : ℝ) * (τ * I)),
re_ofReal_mul, mul_I_re]
ring
obtain ⟨m, hm⟩ := Int.eq_ofNat_of_zero_le (sq_nonneg n)
rw [this, exp_mul, ← Int.cast_pow, rpow_intCast, hm, zpow_natCast]
· have : n ^ 2 = (n.natAbs ^ 2 :) := by rw [Nat.cast_pow, Int.natAbs_sq]
rw [this, zpow_natCast]
exact pow_le_pow_of_le_one (exp_pos _).le h.le ((sq n.natAbs).symm ▸ n.natAbs.le_mul_self)
#align norm_exp_mul_sq_le norm_exp_mul_sq_le
theorem hasSum_nat_jacobiTheta {τ : ℂ} (hτ : 0 < im τ) :
HasSum (fun n : ℕ => cexp (π * I * ((n : ℂ) + 1) ^ 2 * τ)) ((jacobiTheta τ - 1) / 2) := by
have := hasSum_jacobiTheta₂_term 0 hτ
simp_rw [jacobiTheta₂_term, mul_zero, zero_add, ← jacobiTheta_eq_jacobiTheta₂] at this
have := this.nat_add_neg
rw [← hasSum_nat_add_iff' 1] at this
simp_rw [Finset.sum_range_one, Int.cast_neg, Int.cast_natCast, Nat.cast_zero, neg_zero,
Int.cast_zero, sq (0 : ℂ), mul_zero, zero_mul, neg_sq, ← mul_two,
Complex.exp_zero, add_sub_assoc, (by norm_num : (1 : ℂ) - 1 * 2 = -1), ← sub_eq_add_neg,
Nat.cast_add, Nat.cast_one] at this
convert this.div_const 2 using 1
simp_rw [mul_div_cancel_right₀ _ (two_ne_zero' ℂ)]
#align has_sum_nat_jacobi_theta hasSum_nat_jacobiTheta
theorem jacobiTheta_eq_tsum_nat {τ : ℂ} (hτ : 0 < im τ) :
jacobiTheta τ = ↑1 + ↑2 * ∑' n : ℕ, cexp (π * I * ((n : ℂ) + 1) ^ 2 * τ) := by
rw [(hasSum_nat_jacobiTheta hτ).tsum_eq, mul_div_cancel₀ _ (two_ne_zero' ℂ), ← add_sub_assoc,
add_sub_cancel_left]
#align jacobi_theta_eq_tsum_nat jacobiTheta_eq_tsum_nat
theorem norm_jacobiTheta_sub_one_le {τ : ℂ} (hτ : 0 < im τ) :
‖jacobiTheta τ - 1‖ ≤ 2 / (1 - rexp (-π * τ.im)) * rexp (-π * τ.im) := by
suffices ‖∑' n : ℕ, cexp (π * I * ((n : ℂ) + 1) ^ 2 * τ)‖ ≤
rexp (-π * τ.im) / (1 - rexp (-π * τ.im)) by
calc
‖jacobiTheta τ - 1‖ = ↑2 * ‖∑' n : ℕ, cexp (π * I * ((n : ℂ) + 1) ^ 2 * τ)‖ := by
rw [sub_eq_iff_eq_add'.mpr (jacobiTheta_eq_tsum_nat hτ), norm_mul, Complex.norm_eq_abs,
Complex.abs_two]
_ ≤ 2 * (rexp (-π * τ.im) / (1 - rexp (-π * τ.im))) := by gcongr
_ = 2 / (1 - rexp (-π * τ.im)) * rexp (-π * τ.im) := by rw [div_mul_comm, mul_comm]
have : ∀ n : ℕ, ‖cexp (π * I * ((n : ℂ) + 1) ^ 2 * τ)‖ ≤ rexp (-π * τ.im) ^ (n + 1) := by
intro n
simpa only [Int.cast_add, Int.cast_one] using norm_exp_mul_sq_le hτ (n + 1)
have s : HasSum (fun n : ℕ =>
rexp (-π * τ.im) ^ (n + 1)) (rexp (-π * τ.im) / (1 - rexp (-π * τ.im))) := by
simp_rw [pow_succ', div_eq_mul_inv, hasSum_mul_left_iff (Real.exp_ne_zero _)]
exact hasSum_geometric_of_lt_one (exp_pos (-π * τ.im)).le
(exp_lt_one_iff.mpr <| mul_neg_of_neg_of_pos (neg_lt_zero.mpr pi_pos) hτ)
have aux : Summable fun n : ℕ => ‖cexp (π * I * ((n : ℂ) + 1) ^ 2 * τ)‖ :=
.of_nonneg_of_le (fun n => norm_nonneg _) this s.summable
exact (norm_tsum_le_tsum_norm aux).trans ((tsum_mono aux s.summable this).trans_eq s.tsum_eq)
#align norm_jacobi_theta_sub_one_le norm_jacobiTheta_sub_one_le
theorem isBigO_at_im_infty_jacobiTheta_sub_one :
(fun τ => jacobiTheta τ - 1) =O[comap im atTop] fun τ => rexp (-π * τ.im) := by
simp_rw [IsBigO, IsBigOWith, Filter.eventually_comap, Filter.eventually_atTop]
refine ⟨2 / (1 - rexp (-π)), 1, fun y hy τ hτ =>
(norm_jacobiTheta_sub_one_le (hτ.symm ▸ zero_lt_one.trans_le hy : 0 < im τ)).trans ?_⟩
rw [Real.norm_eq_abs, Real.abs_exp]
refine mul_le_mul_of_nonneg_right ?_ (exp_pos _).le
rw [div_le_div_left (zero_lt_two' ℝ), sub_le_sub_iff_left, exp_le_exp, neg_mul, neg_le_neg_iff]
· exact le_mul_of_one_le_right pi_pos.le (hτ.symm ▸ hy)
· rw [sub_pos, exp_lt_one_iff, neg_mul, neg_lt_zero]
exact mul_pos pi_pos (hτ.symm ▸ zero_lt_one.trans_le hy)
· rw [sub_pos, exp_lt_one_iff, neg_lt_zero]; exact pi_pos
set_option linter.uppercaseLean3 false in
#align is_O_at_im_infty_jacobi_theta_sub_one isBigO_at_im_infty_jacobiTheta_sub_one
| Mathlib/NumberTheory/ModularForms/JacobiTheta/OneVariable.lean | 135 | 138 | theorem differentiableAt_jacobiTheta {τ : ℂ} (hτ : 0 < im τ) :
DifferentiableAt ℂ jacobiTheta τ := by |
simp_rw [funext jacobiTheta_eq_jacobiTheta₂]
exact differentiableAt_jacobiTheta₂_snd 0 hτ
|
import Mathlib.Algebra.Algebra.Subalgebra.Operations
import Mathlib.Algebra.Ring.Fin
import Mathlib.RingTheory.Ideal.Quotient
#align_import ring_theory.ideal.quotient_operations from "leanprover-community/mathlib"@"b88d81c84530450a8989e918608e5960f015e6c8"
universe u v w
namespace Ideal
open Function RingHom
variable {R : Type u} {S : Type v} {F : Type w} [CommRing R] [Semiring S]
@[simp]
theorem map_quotient_self (I : Ideal R) : map (Quotient.mk I) I = ⊥ :=
eq_bot_iff.2 <|
Ideal.map_le_iff_le_comap.2 fun _ hx =>
(Submodule.mem_bot (R ⧸ I)).2 <| Ideal.Quotient.eq_zero_iff_mem.2 hx
#align ideal.map_quotient_self Ideal.map_quotient_self
@[simp]
theorem mk_ker {I : Ideal R} : ker (Quotient.mk I) = I := by
ext
rw [ker, mem_comap, Submodule.mem_bot, Quotient.eq_zero_iff_mem]
#align ideal.mk_ker Ideal.mk_ker
theorem map_mk_eq_bot_of_le {I J : Ideal R} (h : I ≤ J) : I.map (Quotient.mk J) = ⊥ := by
rw [map_eq_bot_iff_le_ker, mk_ker]
exact h
#align ideal.map_mk_eq_bot_of_le Ideal.map_mk_eq_bot_of_le
| Mathlib/RingTheory/Ideal/QuotientOperations.lean | 141 | 156 | theorem ker_quotient_lift {I : Ideal R} (f : R →+* S)
(H : I ≤ ker f) :
ker (Ideal.Quotient.lift I f H) = f.ker.map (Quotient.mk I) := by |
apply Ideal.ext
intro x
constructor
· intro hx
obtain ⟨y, hy⟩ := Quotient.mk_surjective x
rw [mem_ker, ← hy, Ideal.Quotient.lift_mk, ← mem_ker] at hx
rw [← hy, mem_map_iff_of_surjective (Quotient.mk I) Quotient.mk_surjective]
exact ⟨y, hx, rfl⟩
· intro hx
rw [mem_map_iff_of_surjective (Quotient.mk I) Quotient.mk_surjective] at hx
obtain ⟨y, hy⟩ := hx
rw [mem_ker, ← hy.right, Ideal.Quotient.lift_mk]
exact hy.left
|
import Mathlib.Data.List.OfFn
import Mathlib.Data.List.Range
#align_import data.list.indexes from "leanprover-community/mathlib"@"8631e2d5ea77f6c13054d9151d82b83069680cb1"
assert_not_exists MonoidWithZero
universe u v
open Function
namespace List
variable {α : Type u} {β : Type v}
section MapIdx
-- Porting note: Add back old definition because it's easier for writing proofs.
protected def oldMapIdxCore (f : ℕ → α → β) : ℕ → List α → List β
| _, [] => []
| k, a :: as => f k a :: List.oldMapIdxCore f (k + 1) as
protected def oldMapIdx (f : ℕ → α → β) (as : List α) : List β :=
List.oldMapIdxCore f 0 as
@[simp]
theorem mapIdx_nil {α β} (f : ℕ → α → β) : mapIdx f [] = [] :=
rfl
#align list.map_with_index_nil List.mapIdx_nil
-- Porting note (#10756): new theorem.
protected theorem oldMapIdxCore_eq (l : List α) (f : ℕ → α → β) (n : ℕ) :
l.oldMapIdxCore f n = l.oldMapIdx fun i a ↦ f (i + n) a := by
induction' l with hd tl hl generalizing f n
· rfl
· rw [List.oldMapIdx]
simp only [List.oldMapIdxCore, hl, Nat.add_left_comm, Nat.add_comm, Nat.add_zero]
#noalign list.map_with_index_core_eq
-- Porting note: convert new definition to old definition.
-- A few new theorems are added to achieve this
-- 1. Prove that `oldMapIdxCore f (l ++ [e]) = oldMapIdxCore f l ++ [f l.length e]`
-- 2. Prove that `oldMapIdx f (l ++ [e]) = oldMapIdx f l ++ [f l.length e]`
-- 3. Prove list induction using `∀ l e, p [] → (p l → p (l ++ [e])) → p l`
-- Porting note (#10756): new theorem.
theorem list_reverse_induction (p : List α → Prop) (base : p [])
(ind : ∀ (l : List α) (e : α), p l → p (l ++ [e])) : (∀ (l : List α), p l) := by
let q := fun l ↦ p (reverse l)
have pq : ∀ l, p (reverse l) → q l := by simp only [q, reverse_reverse]; intro; exact id
have qp : ∀ l, q (reverse l) → p l := by simp only [q, reverse_reverse]; intro; exact id
intro l
apply qp
generalize (reverse l) = l
induction' l with head tail ih
· apply pq; simp only [reverse_nil, base]
· apply pq; simp only [reverse_cons]; apply ind; apply qp; rw [reverse_reverse]; exact ih
-- Porting note (#10756): new theorem.
protected theorem oldMapIdxCore_append : ∀ (f : ℕ → α → β) (n : ℕ) (l₁ l₂ : List α),
List.oldMapIdxCore f n (l₁ ++ l₂) =
List.oldMapIdxCore f n l₁ ++ List.oldMapIdxCore f (n + l₁.length) l₂ := by
intros f n l₁ l₂
generalize e : (l₁ ++ l₂).length = len
revert n l₁ l₂
induction' len with len ih <;> intros n l₁ l₂ h
· have l₁_nil : l₁ = [] := by
cases l₁
· rfl
· contradiction
have l₂_nil : l₂ = [] := by
cases l₂
· rfl
· rw [List.length_append] at h; contradiction
simp only [l₁_nil, l₂_nil]; rfl
· cases' l₁ with head tail
· rfl
· simp only [List.oldMapIdxCore, List.append_eq, length_cons, cons_append,cons.injEq, true_and]
suffices n + Nat.succ (length tail) = n + 1 + tail.length by
rw [this]
apply ih (n + 1) _ _ _
simp only [cons_append, length_cons, length_append, Nat.succ.injEq] at h
simp only [length_append, h]
rw [Nat.add_assoc]; simp only [Nat.add_comm]
-- Porting note (#10756): new theorem.
protected theorem oldMapIdx_append : ∀ (f : ℕ → α → β) (l : List α) (e : α),
List.oldMapIdx f (l ++ [e]) = List.oldMapIdx f l ++ [f l.length e] := by
intros f l e
unfold List.oldMapIdx
rw [List.oldMapIdxCore_append f 0 l [e]]
simp only [Nat.zero_add]; rfl
-- Porting note (#10756): new theorem.
theorem mapIdxGo_append : ∀ (f : ℕ → α → β) (l₁ l₂ : List α) (arr : Array β),
mapIdx.go f (l₁ ++ l₂) arr = mapIdx.go f l₂ (List.toArray (mapIdx.go f l₁ arr)) := by
intros f l₁ l₂ arr
generalize e : (l₁ ++ l₂).length = len
revert l₁ l₂ arr
induction' len with len ih <;> intros l₁ l₂ arr h
· have l₁_nil : l₁ = [] := by
cases l₁
· rfl
· contradiction
have l₂_nil : l₂ = [] := by
cases l₂
· rfl
· rw [List.length_append] at h; contradiction
rw [l₁_nil, l₂_nil]; simp only [mapIdx.go, Array.toList_eq, Array.toArray_data]
· cases' l₁ with head tail <;> simp only [mapIdx.go]
· simp only [nil_append, Array.toList_eq, Array.toArray_data]
· simp only [List.append_eq]
rw [ih]
· simp only [cons_append, length_cons, length_append, Nat.succ.injEq] at h
simp only [length_append, h]
-- Porting note (#10756): new theorem.
theorem mapIdxGo_length : ∀ (f : ℕ → α → β) (l : List α) (arr : Array β),
length (mapIdx.go f l arr) = length l + arr.size := by
intro f l
induction' l with head tail ih
· intro; simp only [mapIdx.go, Array.toList_eq, length_nil, Nat.zero_add]
· intro; simp only [mapIdx.go]; rw [ih]; simp only [Array.size_push, length_cons];
simp only [Nat.add_succ, add_zero, Nat.add_comm]
-- Porting note (#10756): new theorem.
theorem mapIdx_append_one : ∀ (f : ℕ → α → β) (l : List α) (e : α),
mapIdx f (l ++ [e]) = mapIdx f l ++ [f l.length e] := by
intros f l e
unfold mapIdx
rw [mapIdxGo_append f l [e]]
simp only [mapIdx.go, Array.size_toArray, mapIdxGo_length, length_nil, Nat.add_zero,
Array.toList_eq, Array.push_data, Array.data_toArray]
-- Porting note (#10756): new theorem.
protected theorem new_def_eq_old_def :
∀ (f : ℕ → α → β) (l : List α), l.mapIdx f = List.oldMapIdx f l := by
intro f
apply list_reverse_induction
· rfl
· intro l e h
rw [List.oldMapIdx_append, mapIdx_append_one, h]
@[local simp]
| Mathlib/Data/List/Indexes.lean | 159 | 180 | theorem map_enumFrom_eq_zipWith : ∀ (l : List α) (n : ℕ) (f : ℕ → α → β),
map (uncurry f) (enumFrom n l) = zipWith (fun i ↦ f (i + n)) (range (length l)) l := by |
intro l
generalize e : l.length = len
revert l
induction' len with len ih <;> intros l e n f
· have : l = [] := by
cases l
· rfl
· contradiction
rw [this]; rfl
· cases' l with head tail
· contradiction
· simp only [map, uncurry_apply_pair, range_succ_eq_map, zipWith, Nat.zero_add,
zipWith_map_left]
rw [ih]
· suffices (fun i ↦ f (i + (n + 1))) = ((fun i ↦ f (i + n)) ∘ Nat.succ) by
rw [this]
rfl
funext n' a
simp only [comp, Nat.add_assoc, Nat.add_comm, Nat.add_succ]
simp only [length_cons, Nat.succ.injEq] at e; exact e
|
import Mathlib.Order.Interval.Set.Disjoint
import Mathlib.MeasureTheory.Integral.SetIntegral
import Mathlib.MeasureTheory.Measure.Lebesgue.Basic
#align_import measure_theory.integral.interval_integral from "leanprover-community/mathlib"@"fd5edc43dc4f10b85abfe544b88f82cf13c5f844"
noncomputable section
open scoped Classical
open MeasureTheory Set Filter Function
open scoped Classical Topology Filter ENNReal Interval NNReal
variable {ι 𝕜 E F A : Type*} [NormedAddCommGroup E]
def IntervalIntegrable (f : ℝ → E) (μ : Measure ℝ) (a b : ℝ) : Prop :=
IntegrableOn f (Ioc a b) μ ∧ IntegrableOn f (Ioc b a) μ
#align interval_integrable IntervalIntegrable
section
variable {f : ℝ → E} {a b : ℝ} {μ : Measure ℝ}
theorem intervalIntegrable_iff : IntervalIntegrable f μ a b ↔ IntegrableOn f (Ι a b) μ := by
rw [uIoc_eq_union, integrableOn_union, IntervalIntegrable]
#align interval_integrable_iff intervalIntegrable_iff
theorem IntervalIntegrable.def' (h : IntervalIntegrable f μ a b) : IntegrableOn f (Ι a b) μ :=
intervalIntegrable_iff.mp h
#align interval_integrable.def IntervalIntegrable.def'
theorem intervalIntegrable_iff_integrableOn_Ioc_of_le (hab : a ≤ b) :
IntervalIntegrable f μ a b ↔ IntegrableOn f (Ioc a b) μ := by
rw [intervalIntegrable_iff, uIoc_of_le hab]
#align interval_integrable_iff_integrable_Ioc_of_le intervalIntegrable_iff_integrableOn_Ioc_of_le
theorem intervalIntegrable_iff' [NoAtoms μ] :
IntervalIntegrable f μ a b ↔ IntegrableOn f (uIcc a b) μ := by
rw [intervalIntegrable_iff, ← Icc_min_max, uIoc, integrableOn_Icc_iff_integrableOn_Ioc]
#align interval_integrable_iff' intervalIntegrable_iff'
theorem intervalIntegrable_iff_integrableOn_Icc_of_le {f : ℝ → E} {a b : ℝ} (hab : a ≤ b)
{μ : Measure ℝ} [NoAtoms μ] : IntervalIntegrable f μ a b ↔ IntegrableOn f (Icc a b) μ := by
rw [intervalIntegrable_iff_integrableOn_Ioc_of_le hab, integrableOn_Icc_iff_integrableOn_Ioc]
#align interval_integrable_iff_integrable_Icc_of_le intervalIntegrable_iff_integrableOn_Icc_of_le
theorem intervalIntegrable_iff_integrableOn_Ico_of_le [NoAtoms μ] (hab : a ≤ b) :
IntervalIntegrable f μ a b ↔ IntegrableOn f (Ico a b) μ := by
rw [intervalIntegrable_iff_integrableOn_Icc_of_le hab, integrableOn_Icc_iff_integrableOn_Ico]
theorem intervalIntegrable_iff_integrableOn_Ioo_of_le [NoAtoms μ] (hab : a ≤ b) :
IntervalIntegrable f μ a b ↔ IntegrableOn f (Ioo a b) μ := by
rw [intervalIntegrable_iff_integrableOn_Icc_of_le hab, integrableOn_Icc_iff_integrableOn_Ioo]
theorem MeasureTheory.Integrable.intervalIntegrable (hf : Integrable f μ) :
IntervalIntegrable f μ a b :=
⟨hf.integrableOn, hf.integrableOn⟩
#align measure_theory.integrable.interval_integrable MeasureTheory.Integrable.intervalIntegrable
theorem MeasureTheory.IntegrableOn.intervalIntegrable (hf : IntegrableOn f [[a, b]] μ) :
IntervalIntegrable f μ a b :=
⟨MeasureTheory.IntegrableOn.mono_set hf (Ioc_subset_Icc_self.trans Icc_subset_uIcc),
MeasureTheory.IntegrableOn.mono_set hf (Ioc_subset_Icc_self.trans Icc_subset_uIcc')⟩
#align measure_theory.integrable_on.interval_integrable MeasureTheory.IntegrableOn.intervalIntegrable
theorem intervalIntegrable_const_iff {c : E} :
IntervalIntegrable (fun _ => c) μ a b ↔ c = 0 ∨ μ (Ι a b) < ∞ := by
simp only [intervalIntegrable_iff, integrableOn_const]
#align interval_integrable_const_iff intervalIntegrable_const_iff
@[simp]
theorem intervalIntegrable_const [IsLocallyFiniteMeasure μ] {c : E} :
IntervalIntegrable (fun _ => c) μ a b :=
intervalIntegrable_const_iff.2 <| Or.inr measure_Ioc_lt_top
#align interval_integrable_const intervalIntegrable_const
end
section
variable {μ : Measure ℝ} [IsLocallyFiniteMeasure μ]
theorem ContinuousOn.intervalIntegrable {u : ℝ → E} {a b : ℝ} (hu : ContinuousOn u (uIcc a b)) :
IntervalIntegrable u μ a b :=
(ContinuousOn.integrableOn_Icc hu).intervalIntegrable
#align continuous_on.interval_integrable ContinuousOn.intervalIntegrable
theorem ContinuousOn.intervalIntegrable_of_Icc {u : ℝ → E} {a b : ℝ} (h : a ≤ b)
(hu : ContinuousOn u (Icc a b)) : IntervalIntegrable u μ a b :=
ContinuousOn.intervalIntegrable ((uIcc_of_le h).symm ▸ hu)
#align continuous_on.interval_integrable_of_Icc ContinuousOn.intervalIntegrable_of_Icc
theorem Continuous.intervalIntegrable {u : ℝ → E} (hu : Continuous u) (a b : ℝ) :
IntervalIntegrable u μ a b :=
hu.continuousOn.intervalIntegrable
#align continuous.interval_integrable Continuous.intervalIntegrable
end
section
variable {μ : Measure ℝ} [IsLocallyFiniteMeasure μ] [ConditionallyCompleteLinearOrder E]
[OrderTopology E] [SecondCountableTopology E]
theorem MonotoneOn.intervalIntegrable {u : ℝ → E} {a b : ℝ} (hu : MonotoneOn u (uIcc a b)) :
IntervalIntegrable u μ a b := by
rw [intervalIntegrable_iff]
exact (hu.integrableOn_isCompact isCompact_uIcc).mono_set Ioc_subset_Icc_self
#align monotone_on.interval_integrable MonotoneOn.intervalIntegrable
theorem AntitoneOn.intervalIntegrable {u : ℝ → E} {a b : ℝ} (hu : AntitoneOn u (uIcc a b)) :
IntervalIntegrable u μ a b :=
hu.dual_right.intervalIntegrable
#align antitone_on.interval_integrable AntitoneOn.intervalIntegrable
theorem Monotone.intervalIntegrable {u : ℝ → E} {a b : ℝ} (hu : Monotone u) :
IntervalIntegrable u μ a b :=
(hu.monotoneOn _).intervalIntegrable
#align monotone.interval_integrable Monotone.intervalIntegrable
theorem Antitone.intervalIntegrable {u : ℝ → E} {a b : ℝ} (hu : Antitone u) :
IntervalIntegrable u μ a b :=
(hu.antitoneOn _).intervalIntegrable
#align antitone.interval_integrable Antitone.intervalIntegrable
end
theorem Filter.Tendsto.eventually_intervalIntegrable_ae {f : ℝ → E} {μ : Measure ℝ}
{l l' : Filter ℝ} (hfm : StronglyMeasurableAtFilter f l' μ) [TendstoIxxClass Ioc l l']
[IsMeasurablyGenerated l'] (hμ : μ.FiniteAtFilter l') {c : E} (hf : Tendsto f (l' ⊓ ae μ) (𝓝 c))
{u v : ι → ℝ} {lt : Filter ι} (hu : Tendsto u lt l) (hv : Tendsto v lt l) :
∀ᶠ t in lt, IntervalIntegrable f μ (u t) (v t) :=
have := (hf.integrableAtFilter_ae hfm hμ).eventually
((hu.Ioc hv).eventually this).and <| (hv.Ioc hu).eventually this
#align filter.tendsto.eventually_interval_integrable_ae Filter.Tendsto.eventually_intervalIntegrable_ae
theorem Filter.Tendsto.eventually_intervalIntegrable {f : ℝ → E} {μ : Measure ℝ} {l l' : Filter ℝ}
(hfm : StronglyMeasurableAtFilter f l' μ) [TendstoIxxClass Ioc l l'] [IsMeasurablyGenerated l']
(hμ : μ.FiniteAtFilter l') {c : E} (hf : Tendsto f l' (𝓝 c)) {u v : ι → ℝ} {lt : Filter ι}
(hu : Tendsto u lt l) (hv : Tendsto v lt l) : ∀ᶠ t in lt, IntervalIntegrable f μ (u t) (v t) :=
(hf.mono_left inf_le_left).eventually_intervalIntegrable_ae hfm hμ hu hv
#align filter.tendsto.eventually_interval_integrable Filter.Tendsto.eventually_intervalIntegrable
variable [CompleteSpace E] [NormedSpace ℝ E]
def intervalIntegral (f : ℝ → E) (a b : ℝ) (μ : Measure ℝ) : E :=
(∫ x in Ioc a b, f x ∂μ) - ∫ x in Ioc b a, f x ∂μ
#align interval_integral intervalIntegral
notation3"∫ "(...)" in "a".."b", "r:60:(scoped f => f)" ∂"μ:70 => intervalIntegral r a b μ
notation3"∫ "(...)" in "a".."b", "r:60:(scoped f => intervalIntegral f a b volume) => r
namespace intervalIntegral
section Basic
variable {a b : ℝ} {f g : ℝ → E} {μ : Measure ℝ}
@[simp]
theorem integral_zero : (∫ _ in a..b, (0 : E) ∂μ) = 0 := by simp [intervalIntegral]
#align interval_integral.integral_zero intervalIntegral.integral_zero
theorem integral_of_le (h : a ≤ b) : ∫ x in a..b, f x ∂μ = ∫ x in Ioc a b, f x ∂μ := by
simp [intervalIntegral, h]
#align interval_integral.integral_of_le intervalIntegral.integral_of_le
@[simp]
theorem integral_same : ∫ x in a..a, f x ∂μ = 0 :=
sub_self _
#align interval_integral.integral_same intervalIntegral.integral_same
theorem integral_symm (a b) : ∫ x in b..a, f x ∂μ = -∫ x in a..b, f x ∂μ := by
simp only [intervalIntegral, neg_sub]
#align interval_integral.integral_symm intervalIntegral.integral_symm
theorem integral_of_ge (h : b ≤ a) : ∫ x in a..b, f x ∂μ = -∫ x in Ioc b a, f x ∂μ := by
simp only [integral_symm b, integral_of_le h]
#align interval_integral.integral_of_ge intervalIntegral.integral_of_ge
theorem intervalIntegral_eq_integral_uIoc (f : ℝ → E) (a b : ℝ) (μ : Measure ℝ) :
∫ x in a..b, f x ∂μ = (if a ≤ b then 1 else -1 : ℝ) • ∫ x in Ι a b, f x ∂μ := by
split_ifs with h
· simp only [integral_of_le h, uIoc_of_le h, one_smul]
· simp only [integral_of_ge (not_le.1 h).le, uIoc_of_lt (not_le.1 h), neg_one_smul]
#align interval_integral.interval_integral_eq_integral_uIoc intervalIntegral.intervalIntegral_eq_integral_uIoc
theorem norm_intervalIntegral_eq (f : ℝ → E) (a b : ℝ) (μ : Measure ℝ) :
‖∫ x in a..b, f x ∂μ‖ = ‖∫ x in Ι a b, f x ∂μ‖ := by
simp_rw [intervalIntegral_eq_integral_uIoc, norm_smul]
split_ifs <;> simp only [norm_neg, norm_one, one_mul]
#align interval_integral.norm_interval_integral_eq intervalIntegral.norm_intervalIntegral_eq
theorem abs_intervalIntegral_eq (f : ℝ → ℝ) (a b : ℝ) (μ : Measure ℝ) :
|∫ x in a..b, f x ∂μ| = |∫ x in Ι a b, f x ∂μ| :=
norm_intervalIntegral_eq f a b μ
#align interval_integral.abs_interval_integral_eq intervalIntegral.abs_intervalIntegral_eq
theorem integral_cases (f : ℝ → E) (a b) :
(∫ x in a..b, f x ∂μ) ∈ ({∫ x in Ι a b, f x ∂μ, -∫ x in Ι a b, f x ∂μ} : Set E) := by
rw [intervalIntegral_eq_integral_uIoc]; split_ifs <;> simp
#align interval_integral.integral_cases intervalIntegral.integral_cases
nonrec theorem integral_undef (h : ¬IntervalIntegrable f μ a b) : ∫ x in a..b, f x ∂μ = 0 := by
rw [intervalIntegrable_iff] at h
rw [intervalIntegral_eq_integral_uIoc, integral_undef h, smul_zero]
#align interval_integral.integral_undef intervalIntegral.integral_undef
theorem intervalIntegrable_of_integral_ne_zero {a b : ℝ} {f : ℝ → E} {μ : Measure ℝ}
(h : (∫ x in a..b, f x ∂μ) ≠ 0) : IntervalIntegrable f μ a b :=
not_imp_comm.1 integral_undef h
#align interval_integral.interval_integrable_of_integral_ne_zero intervalIntegral.intervalIntegrable_of_integral_ne_zero
nonrec theorem integral_non_aestronglyMeasurable
(hf : ¬AEStronglyMeasurable f (μ.restrict (Ι a b))) :
∫ x in a..b, f x ∂μ = 0 := by
rw [intervalIntegral_eq_integral_uIoc, integral_non_aestronglyMeasurable hf, smul_zero]
#align interval_integral.integral_non_ae_strongly_measurable intervalIntegral.integral_non_aestronglyMeasurable
theorem integral_non_aestronglyMeasurable_of_le (h : a ≤ b)
(hf : ¬AEStronglyMeasurable f (μ.restrict (Ioc a b))) : ∫ x in a..b, f x ∂μ = 0 :=
integral_non_aestronglyMeasurable <| by rwa [uIoc_of_le h]
#align interval_integral.integral_non_ae_strongly_measurable_of_le intervalIntegral.integral_non_aestronglyMeasurable_of_le
theorem norm_integral_min_max (f : ℝ → E) :
‖∫ x in min a b..max a b, f x ∂μ‖ = ‖∫ x in a..b, f x ∂μ‖ := by
cases le_total a b <;> simp [*, integral_symm a b]
#align interval_integral.norm_integral_min_max intervalIntegral.norm_integral_min_max
theorem norm_integral_eq_norm_integral_Ioc (f : ℝ → E) :
‖∫ x in a..b, f x ∂μ‖ = ‖∫ x in Ι a b, f x ∂μ‖ := by
rw [← norm_integral_min_max, integral_of_le min_le_max, uIoc]
#align interval_integral.norm_integral_eq_norm_integral_Ioc intervalIntegral.norm_integral_eq_norm_integral_Ioc
theorem abs_integral_eq_abs_integral_uIoc (f : ℝ → ℝ) :
|∫ x in a..b, f x ∂μ| = |∫ x in Ι a b, f x ∂μ| :=
norm_integral_eq_norm_integral_Ioc f
#align interval_integral.abs_integral_eq_abs_integral_uIoc intervalIntegral.abs_integral_eq_abs_integral_uIoc
theorem norm_integral_le_integral_norm_Ioc : ‖∫ x in a..b, f x ∂μ‖ ≤ ∫ x in Ι a b, ‖f x‖ ∂μ :=
calc
‖∫ x in a..b, f x ∂μ‖ = ‖∫ x in Ι a b, f x ∂μ‖ := norm_integral_eq_norm_integral_Ioc f
_ ≤ ∫ x in Ι a b, ‖f x‖ ∂μ := norm_integral_le_integral_norm f
#align interval_integral.norm_integral_le_integral_norm_Ioc intervalIntegral.norm_integral_le_integral_norm_Ioc
| Mathlib/MeasureTheory/Integral/IntervalIntegral.lean | 570 | 572 | theorem norm_integral_le_abs_integral_norm : ‖∫ x in a..b, f x ∂μ‖ ≤ |∫ x in a..b, ‖f x‖ ∂μ| := by |
simp only [← Real.norm_eq_abs, norm_integral_eq_norm_integral_Ioc]
exact le_trans (norm_integral_le_integral_norm _) (le_abs_self _)
|
import Mathlib.Data.Fintype.Basic
import Mathlib.GroupTheory.Perm.Sign
import Mathlib.Logic.Equiv.Defs
#align_import logic.equiv.fintype from "leanprover-community/mathlib"@"9407b03373c8cd201df99d6bc5514fc2db44054f"
section Fintype
variable {α β : Type*} [Fintype α] [DecidableEq β] (e : Equiv.Perm α) (f : α ↪ β)
def Function.Embedding.toEquivRange : α ≃ Set.range f :=
⟨fun a => ⟨f a, Set.mem_range_self a⟩, f.invOfMemRange, fun _ => by simp, fun _ => by simp⟩
#align function.embedding.to_equiv_range Function.Embedding.toEquivRange
@[simp]
theorem Function.Embedding.toEquivRange_apply (a : α) :
f.toEquivRange a = ⟨f a, Set.mem_range_self a⟩ :=
rfl
#align function.embedding.to_equiv_range_apply Function.Embedding.toEquivRange_apply
@[simp]
theorem Function.Embedding.toEquivRange_symm_apply_self (a : α) :
f.toEquivRange.symm ⟨f a, Set.mem_range_self a⟩ = a := by simp [Equiv.symm_apply_eq]
#align function.embedding.to_equiv_range_symm_apply_self Function.Embedding.toEquivRange_symm_apply_self
theorem Function.Embedding.toEquivRange_eq_ofInjective :
f.toEquivRange = Equiv.ofInjective f f.injective := by
ext
simp
#align function.embedding.to_equiv_range_eq_of_injective Function.Embedding.toEquivRange_eq_ofInjective
def Equiv.Perm.viaFintypeEmbedding : Equiv.Perm β :=
e.extendDomain f.toEquivRange
#align equiv.perm.via_fintype_embedding Equiv.Perm.viaFintypeEmbedding
@[simp]
theorem Equiv.Perm.viaFintypeEmbedding_apply_image (a : α) :
e.viaFintypeEmbedding f (f a) = f (e a) := by
rw [Equiv.Perm.viaFintypeEmbedding]
convert Equiv.Perm.extendDomain_apply_image e (Function.Embedding.toEquivRange f) a
#align equiv.perm.via_fintype_embedding_apply_image Equiv.Perm.viaFintypeEmbedding_apply_image
theorem Equiv.Perm.viaFintypeEmbedding_apply_mem_range {b : β} (h : b ∈ Set.range f) :
e.viaFintypeEmbedding f b = f (e (f.invOfMemRange ⟨b, h⟩)) := by
simp only [viaFintypeEmbedding, Function.Embedding.invOfMemRange]
rw [Equiv.Perm.extendDomain_apply_subtype]
congr
#align equiv.perm.via_fintype_embedding_apply_mem_range Equiv.Perm.viaFintypeEmbedding_apply_mem_range
| Mathlib/Logic/Equiv/Fintype.lean | 85 | 87 | theorem Equiv.Perm.viaFintypeEmbedding_apply_not_mem_range {b : β} (h : b ∉ Set.range f) :
e.viaFintypeEmbedding f b = b := by |
rwa [Equiv.Perm.viaFintypeEmbedding, Equiv.Perm.extendDomain_apply_not_subtype]
|
import Mathlib.Order.Filter.Lift
import Mathlib.Topology.Defs.Filter
#align_import topology.basic from "leanprover-community/mathlib"@"e354e865255654389cc46e6032160238df2e0f40"
noncomputable section
open Set Filter
universe u v w x
def TopologicalSpace.ofClosed {X : Type u} (T : Set (Set X)) (empty_mem : ∅ ∈ T)
(sInter_mem : ∀ A, A ⊆ T → ⋂₀ A ∈ T)
(union_mem : ∀ A, A ∈ T → ∀ B, B ∈ T → A ∪ B ∈ T) : TopologicalSpace X where
IsOpen X := Xᶜ ∈ T
isOpen_univ := by simp [empty_mem]
isOpen_inter s t hs ht := by simpa only [compl_inter] using union_mem sᶜ hs tᶜ ht
isOpen_sUnion s hs := by
simp only [Set.compl_sUnion]
exact sInter_mem (compl '' s) fun z ⟨y, hy, hz⟩ => hz ▸ hs y hy
#align topological_space.of_closed TopologicalSpace.ofClosed
section TopologicalSpace
variable {X : Type u} {Y : Type v} {ι : Sort w} {α β : Type*}
{x : X} {s s₁ s₂ t : Set X} {p p₁ p₂ : X → Prop}
open Topology
lemma isOpen_mk {p h₁ h₂ h₃} : IsOpen[⟨p, h₁, h₂, h₃⟩] s ↔ p s := Iff.rfl
#align is_open_mk isOpen_mk
@[ext]
protected theorem TopologicalSpace.ext :
∀ {f g : TopologicalSpace X}, IsOpen[f] = IsOpen[g] → f = g
| ⟨_, _, _, _⟩, ⟨_, _, _, _⟩, rfl => rfl
#align topological_space_eq TopologicalSpace.ext
section
variable [TopologicalSpace X]
end
protected theorem TopologicalSpace.ext_iff {t t' : TopologicalSpace X} :
t = t' ↔ ∀ s, IsOpen[t] s ↔ IsOpen[t'] s :=
⟨fun h s => h ▸ Iff.rfl, fun h => by ext; exact h _⟩
#align topological_space_eq_iff TopologicalSpace.ext_iff
theorem isOpen_fold {t : TopologicalSpace X} : t.IsOpen s = IsOpen[t] s :=
rfl
#align is_open_fold isOpen_fold
variable [TopologicalSpace X]
theorem isOpen_iUnion {f : ι → Set X} (h : ∀ i, IsOpen (f i)) : IsOpen (⋃ i, f i) :=
isOpen_sUnion (forall_mem_range.2 h)
#align is_open_Union isOpen_iUnion
theorem isOpen_biUnion {s : Set α} {f : α → Set X} (h : ∀ i ∈ s, IsOpen (f i)) :
IsOpen (⋃ i ∈ s, f i) :=
isOpen_iUnion fun i => isOpen_iUnion fun hi => h i hi
#align is_open_bUnion isOpen_biUnion
theorem IsOpen.union (h₁ : IsOpen s₁) (h₂ : IsOpen s₂) : IsOpen (s₁ ∪ s₂) := by
rw [union_eq_iUnion]; exact isOpen_iUnion (Bool.forall_bool.2 ⟨h₂, h₁⟩)
#align is_open.union IsOpen.union
lemma isOpen_iff_of_cover {f : α → Set X} (ho : ∀ i, IsOpen (f i)) (hU : (⋃ i, f i) = univ) :
IsOpen s ↔ ∀ i, IsOpen (f i ∩ s) := by
refine ⟨fun h i ↦ (ho i).inter h, fun h ↦ ?_⟩
rw [← s.inter_univ, inter_comm, ← hU, iUnion_inter]
exact isOpen_iUnion fun i ↦ h i
@[simp] theorem isOpen_empty : IsOpen (∅ : Set X) := by
rw [← sUnion_empty]; exact isOpen_sUnion fun a => False.elim
#align is_open_empty isOpen_empty
theorem Set.Finite.isOpen_sInter {s : Set (Set X)} (hs : s.Finite) :
(∀ t ∈ s, IsOpen t) → IsOpen (⋂₀ s) :=
Finite.induction_on hs (fun _ => by rw [sInter_empty]; exact isOpen_univ) fun _ _ ih h => by
simp only [sInter_insert, forall_mem_insert] at h ⊢
exact h.1.inter (ih h.2)
#align is_open_sInter Set.Finite.isOpen_sInter
theorem Set.Finite.isOpen_biInter {s : Set α} {f : α → Set X} (hs : s.Finite)
(h : ∀ i ∈ s, IsOpen (f i)) :
IsOpen (⋂ i ∈ s, f i) :=
sInter_image f s ▸ (hs.image _).isOpen_sInter (forall_mem_image.2 h)
#align is_open_bInter Set.Finite.isOpen_biInter
theorem isOpen_iInter_of_finite [Finite ι] {s : ι → Set X} (h : ∀ i, IsOpen (s i)) :
IsOpen (⋂ i, s i) :=
(finite_range _).isOpen_sInter (forall_mem_range.2 h)
#align is_open_Inter isOpen_iInter_of_finite
theorem isOpen_biInter_finset {s : Finset α} {f : α → Set X} (h : ∀ i ∈ s, IsOpen (f i)) :
IsOpen (⋂ i ∈ s, f i) :=
s.finite_toSet.isOpen_biInter h
#align is_open_bInter_finset isOpen_biInter_finset
@[simp] -- Porting note: added `simp`
theorem isOpen_const {p : Prop} : IsOpen { _x : X | p } := by by_cases p <;> simp [*]
#align is_open_const isOpen_const
theorem IsOpen.and : IsOpen { x | p₁ x } → IsOpen { x | p₂ x } → IsOpen { x | p₁ x ∧ p₂ x } :=
IsOpen.inter
#align is_open.and IsOpen.and
@[simp] theorem isOpen_compl_iff : IsOpen sᶜ ↔ IsClosed s :=
⟨fun h => ⟨h⟩, fun h => h.isOpen_compl⟩
#align is_open_compl_iff isOpen_compl_iff
theorem TopologicalSpace.ext_iff_isClosed {t₁ t₂ : TopologicalSpace X} :
t₁ = t₂ ↔ ∀ s, IsClosed[t₁] s ↔ IsClosed[t₂] s := by
rw [TopologicalSpace.ext_iff, compl_surjective.forall]
simp only [@isOpen_compl_iff _ _ t₁, @isOpen_compl_iff _ _ t₂]
alias ⟨_, TopologicalSpace.ext_isClosed⟩ := TopologicalSpace.ext_iff_isClosed
-- Porting note (#10756): new lemma
theorem isClosed_const {p : Prop} : IsClosed { _x : X | p } := ⟨isOpen_const (p := ¬p)⟩
@[simp] theorem isClosed_empty : IsClosed (∅ : Set X) := isClosed_const
#align is_closed_empty isClosed_empty
@[simp] theorem isClosed_univ : IsClosed (univ : Set X) := isClosed_const
#align is_closed_univ isClosed_univ
theorem IsClosed.union : IsClosed s₁ → IsClosed s₂ → IsClosed (s₁ ∪ s₂) := by
simpa only [← isOpen_compl_iff, compl_union] using IsOpen.inter
#align is_closed.union IsClosed.union
theorem isClosed_sInter {s : Set (Set X)} : (∀ t ∈ s, IsClosed t) → IsClosed (⋂₀ s) := by
simpa only [← isOpen_compl_iff, compl_sInter, sUnion_image] using isOpen_biUnion
#align is_closed_sInter isClosed_sInter
theorem isClosed_iInter {f : ι → Set X} (h : ∀ i, IsClosed (f i)) : IsClosed (⋂ i, f i) :=
isClosed_sInter <| forall_mem_range.2 h
#align is_closed_Inter isClosed_iInter
theorem isClosed_biInter {s : Set α} {f : α → Set X} (h : ∀ i ∈ s, IsClosed (f i)) :
IsClosed (⋂ i ∈ s, f i) :=
isClosed_iInter fun i => isClosed_iInter <| h i
#align is_closed_bInter isClosed_biInter
@[simp]
theorem isClosed_compl_iff {s : Set X} : IsClosed sᶜ ↔ IsOpen s := by
rw [← isOpen_compl_iff, compl_compl]
#align is_closed_compl_iff isClosed_compl_iff
alias ⟨_, IsOpen.isClosed_compl⟩ := isClosed_compl_iff
#align is_open.is_closed_compl IsOpen.isClosed_compl
theorem IsOpen.sdiff (h₁ : IsOpen s) (h₂ : IsClosed t) : IsOpen (s \ t) :=
IsOpen.inter h₁ h₂.isOpen_compl
#align is_open.sdiff IsOpen.sdiff
theorem IsClosed.inter (h₁ : IsClosed s₁) (h₂ : IsClosed s₂) : IsClosed (s₁ ∩ s₂) := by
rw [← isOpen_compl_iff] at *
rw [compl_inter]
exact IsOpen.union h₁ h₂
#align is_closed.inter IsClosed.inter
theorem IsClosed.sdiff (h₁ : IsClosed s) (h₂ : IsOpen t) : IsClosed (s \ t) :=
IsClosed.inter h₁ (isClosed_compl_iff.mpr h₂)
#align is_closed.sdiff IsClosed.sdiff
theorem Set.Finite.isClosed_biUnion {s : Set α} {f : α → Set X} (hs : s.Finite)
(h : ∀ i ∈ s, IsClosed (f i)) :
IsClosed (⋃ i ∈ s, f i) := by
simp only [← isOpen_compl_iff, compl_iUnion] at *
exact hs.isOpen_biInter h
#align is_closed_bUnion Set.Finite.isClosed_biUnion
lemma isClosed_biUnion_finset {s : Finset α} {f : α → Set X} (h : ∀ i ∈ s, IsClosed (f i)) :
IsClosed (⋃ i ∈ s, f i) :=
s.finite_toSet.isClosed_biUnion h
theorem isClosed_iUnion_of_finite [Finite ι] {s : ι → Set X} (h : ∀ i, IsClosed (s i)) :
IsClosed (⋃ i, s i) := by
simp only [← isOpen_compl_iff, compl_iUnion] at *
exact isOpen_iInter_of_finite h
#align is_closed_Union isClosed_iUnion_of_finite
theorem isClosed_imp {p q : X → Prop} (hp : IsOpen { x | p x }) (hq : IsClosed { x | q x }) :
IsClosed { x | p x → q x } := by
simpa only [imp_iff_not_or] using hp.isClosed_compl.union hq
#align is_closed_imp isClosed_imp
theorem IsClosed.not : IsClosed { a | p a } → IsOpen { a | ¬p a } :=
isOpen_compl_iff.mpr
#align is_closed.not IsClosed.not
theorem mem_interior : x ∈ interior s ↔ ∃ t ⊆ s, IsOpen t ∧ x ∈ t := by
simp only [interior, mem_sUnion, mem_setOf_eq, and_assoc, and_left_comm]
#align mem_interior mem_interiorₓ
@[simp]
theorem isOpen_interior : IsOpen (interior s) :=
isOpen_sUnion fun _ => And.left
#align is_open_interior isOpen_interior
theorem interior_subset : interior s ⊆ s :=
sUnion_subset fun _ => And.right
#align interior_subset interior_subset
theorem interior_maximal (h₁ : t ⊆ s) (h₂ : IsOpen t) : t ⊆ interior s :=
subset_sUnion_of_mem ⟨h₂, h₁⟩
#align interior_maximal interior_maximal
theorem IsOpen.interior_eq (h : IsOpen s) : interior s = s :=
interior_subset.antisymm (interior_maximal (Subset.refl s) h)
#align is_open.interior_eq IsOpen.interior_eq
theorem interior_eq_iff_isOpen : interior s = s ↔ IsOpen s :=
⟨fun h => h ▸ isOpen_interior, IsOpen.interior_eq⟩
#align interior_eq_iff_is_open interior_eq_iff_isOpen
theorem subset_interior_iff_isOpen : s ⊆ interior s ↔ IsOpen s := by
simp only [interior_eq_iff_isOpen.symm, Subset.antisymm_iff, interior_subset, true_and]
#align subset_interior_iff_is_open subset_interior_iff_isOpen
theorem IsOpen.subset_interior_iff (h₁ : IsOpen s) : s ⊆ interior t ↔ s ⊆ t :=
⟨fun h => Subset.trans h interior_subset, fun h₂ => interior_maximal h₂ h₁⟩
#align is_open.subset_interior_iff IsOpen.subset_interior_iff
theorem subset_interior_iff : t ⊆ interior s ↔ ∃ U, IsOpen U ∧ t ⊆ U ∧ U ⊆ s :=
⟨fun h => ⟨interior s, isOpen_interior, h, interior_subset⟩, fun ⟨_U, hU, htU, hUs⟩ =>
htU.trans (interior_maximal hUs hU)⟩
#align subset_interior_iff subset_interior_iff
lemma interior_subset_iff : interior s ⊆ t ↔ ∀ U, IsOpen U → U ⊆ s → U ⊆ t := by
simp [interior]
@[mono, gcongr]
theorem interior_mono (h : s ⊆ t) : interior s ⊆ interior t :=
interior_maximal (Subset.trans interior_subset h) isOpen_interior
#align interior_mono interior_mono
@[simp]
theorem interior_empty : interior (∅ : Set X) = ∅ :=
isOpen_empty.interior_eq
#align interior_empty interior_empty
@[simp]
theorem interior_univ : interior (univ : Set X) = univ :=
isOpen_univ.interior_eq
#align interior_univ interior_univ
@[simp]
theorem interior_eq_univ : interior s = univ ↔ s = univ :=
⟨fun h => univ_subset_iff.mp <| h.symm.trans_le interior_subset, fun h => h.symm ▸ interior_univ⟩
#align interior_eq_univ interior_eq_univ
@[simp]
theorem interior_interior : interior (interior s) = interior s :=
isOpen_interior.interior_eq
#align interior_interior interior_interior
@[simp]
theorem interior_inter : interior (s ∩ t) = interior s ∩ interior t :=
(Monotone.map_inf_le (fun _ _ ↦ interior_mono) s t).antisymm <|
interior_maximal (inter_subset_inter interior_subset interior_subset) <|
isOpen_interior.inter isOpen_interior
#align interior_inter interior_inter
theorem Set.Finite.interior_biInter {ι : Type*} {s : Set ι} (hs : s.Finite) (f : ι → Set X) :
interior (⋂ i ∈ s, f i) = ⋂ i ∈ s, interior (f i) :=
hs.induction_on (by simp) <| by intros; simp [*]
theorem Set.Finite.interior_sInter {S : Set (Set X)} (hS : S.Finite) :
interior (⋂₀ S) = ⋂ s ∈ S, interior s := by
rw [sInter_eq_biInter, hS.interior_biInter]
@[simp]
theorem Finset.interior_iInter {ι : Type*} (s : Finset ι) (f : ι → Set X) :
interior (⋂ i ∈ s, f i) = ⋂ i ∈ s, interior (f i) :=
s.finite_toSet.interior_biInter f
#align finset.interior_Inter Finset.interior_iInter
@[simp]
theorem interior_iInter_of_finite [Finite ι] (f : ι → Set X) :
interior (⋂ i, f i) = ⋂ i, interior (f i) := by
rw [← sInter_range, (finite_range f).interior_sInter, biInter_range]
#align interior_Inter interior_iInter_of_finite
theorem interior_union_isClosed_of_interior_empty (h₁ : IsClosed s)
(h₂ : interior t = ∅) : interior (s ∪ t) = interior s :=
have : interior (s ∪ t) ⊆ s := fun x ⟨u, ⟨(hu₁ : IsOpen u), (hu₂ : u ⊆ s ∪ t)⟩, (hx₁ : x ∈ u)⟩ =>
by_contradiction fun hx₂ : x ∉ s =>
have : u \ s ⊆ t := fun x ⟨h₁, h₂⟩ => Or.resolve_left (hu₂ h₁) h₂
have : u \ s ⊆ interior t := by rwa [(IsOpen.sdiff hu₁ h₁).subset_interior_iff]
have : u \ s ⊆ ∅ := by rwa [h₂] at this
this ⟨hx₁, hx₂⟩
Subset.antisymm (interior_maximal this isOpen_interior) (interior_mono subset_union_left)
#align interior_union_is_closed_of_interior_empty interior_union_isClosed_of_interior_empty
theorem isOpen_iff_forall_mem_open : IsOpen s ↔ ∀ x ∈ s, ∃ t, t ⊆ s ∧ IsOpen t ∧ x ∈ t := by
rw [← subset_interior_iff_isOpen]
simp only [subset_def, mem_interior]
#align is_open_iff_forall_mem_open isOpen_iff_forall_mem_open
theorem interior_iInter_subset (s : ι → Set X) : interior (⋂ i, s i) ⊆ ⋂ i, interior (s i) :=
subset_iInter fun _ => interior_mono <| iInter_subset _ _
#align interior_Inter_subset interior_iInter_subset
theorem interior_iInter₂_subset (p : ι → Sort*) (s : ∀ i, p i → Set X) :
interior (⋂ (i) (j), s i j) ⊆ ⋂ (i) (j), interior (s i j) :=
(interior_iInter_subset _).trans <| iInter_mono fun _ => interior_iInter_subset _
#align interior_Inter₂_subset interior_iInter₂_subset
theorem interior_sInter_subset (S : Set (Set X)) : interior (⋂₀ S) ⊆ ⋂ s ∈ S, interior s :=
calc
interior (⋂₀ S) = interior (⋂ s ∈ S, s) := by rw [sInter_eq_biInter]
_ ⊆ ⋂ s ∈ S, interior s := interior_iInter₂_subset _ _
#align interior_sInter_subset interior_sInter_subset
theorem Filter.HasBasis.lift'_interior {l : Filter X} {p : ι → Prop} {s : ι → Set X}
(h : l.HasBasis p s) : (l.lift' interior).HasBasis p fun i => interior (s i) :=
h.lift' fun _ _ ↦ interior_mono
theorem Filter.lift'_interior_le (l : Filter X) : l.lift' interior ≤ l := fun _s hs ↦
mem_of_superset (mem_lift' hs) interior_subset
theorem Filter.HasBasis.lift'_interior_eq_self {l : Filter X} {p : ι → Prop} {s : ι → Set X}
(h : l.HasBasis p s) (ho : ∀ i, p i → IsOpen (s i)) : l.lift' interior = l :=
le_antisymm l.lift'_interior_le <| h.lift'_interior.ge_iff.2 fun i hi ↦ by
simpa only [(ho i hi).interior_eq] using h.mem_of_mem hi
@[simp]
theorem isClosed_closure : IsClosed (closure s) :=
isClosed_sInter fun _ => And.left
#align is_closed_closure isClosed_closure
theorem subset_closure : s ⊆ closure s :=
subset_sInter fun _ => And.right
#align subset_closure subset_closure
theorem not_mem_of_not_mem_closure {P : X} (hP : P ∉ closure s) : P ∉ s := fun h =>
hP (subset_closure h)
#align not_mem_of_not_mem_closure not_mem_of_not_mem_closure
theorem closure_minimal (h₁ : s ⊆ t) (h₂ : IsClosed t) : closure s ⊆ t :=
sInter_subset_of_mem ⟨h₂, h₁⟩
#align closure_minimal closure_minimal
theorem Disjoint.closure_left (hd : Disjoint s t) (ht : IsOpen t) :
Disjoint (closure s) t :=
disjoint_compl_left.mono_left <| closure_minimal hd.subset_compl_right ht.isClosed_compl
#align disjoint.closure_left Disjoint.closure_left
theorem Disjoint.closure_right (hd : Disjoint s t) (hs : IsOpen s) :
Disjoint s (closure t) :=
(hd.symm.closure_left hs).symm
#align disjoint.closure_right Disjoint.closure_right
theorem IsClosed.closure_eq (h : IsClosed s) : closure s = s :=
Subset.antisymm (closure_minimal (Subset.refl s) h) subset_closure
#align is_closed.closure_eq IsClosed.closure_eq
theorem IsClosed.closure_subset (hs : IsClosed s) : closure s ⊆ s :=
closure_minimal (Subset.refl _) hs
#align is_closed.closure_subset IsClosed.closure_subset
theorem IsClosed.closure_subset_iff (h₁ : IsClosed t) : closure s ⊆ t ↔ s ⊆ t :=
⟨Subset.trans subset_closure, fun h => closure_minimal h h₁⟩
#align is_closed.closure_subset_iff IsClosed.closure_subset_iff
theorem IsClosed.mem_iff_closure_subset (hs : IsClosed s) :
x ∈ s ↔ closure ({x} : Set X) ⊆ s :=
(hs.closure_subset_iff.trans Set.singleton_subset_iff).symm
#align is_closed.mem_iff_closure_subset IsClosed.mem_iff_closure_subset
@[mono, gcongr]
theorem closure_mono (h : s ⊆ t) : closure s ⊆ closure t :=
closure_minimal (Subset.trans h subset_closure) isClosed_closure
#align closure_mono closure_mono
theorem monotone_closure (X : Type*) [TopologicalSpace X] : Monotone (@closure X _) := fun _ _ =>
closure_mono
#align monotone_closure monotone_closure
theorem diff_subset_closure_iff : s \ t ⊆ closure t ↔ s ⊆ closure t := by
rw [diff_subset_iff, union_eq_self_of_subset_left subset_closure]
#align diff_subset_closure_iff diff_subset_closure_iff
theorem closure_inter_subset_inter_closure (s t : Set X) :
closure (s ∩ t) ⊆ closure s ∩ closure t :=
(monotone_closure X).map_inf_le s t
#align closure_inter_subset_inter_closure closure_inter_subset_inter_closure
theorem isClosed_of_closure_subset (h : closure s ⊆ s) : IsClosed s := by
rw [subset_closure.antisymm h]; exact isClosed_closure
#align is_closed_of_closure_subset isClosed_of_closure_subset
theorem closure_eq_iff_isClosed : closure s = s ↔ IsClosed s :=
⟨fun h => h ▸ isClosed_closure, IsClosed.closure_eq⟩
#align closure_eq_iff_is_closed closure_eq_iff_isClosed
theorem closure_subset_iff_isClosed : closure s ⊆ s ↔ IsClosed s :=
⟨isClosed_of_closure_subset, IsClosed.closure_subset⟩
#align closure_subset_iff_is_closed closure_subset_iff_isClosed
@[simp]
theorem closure_empty : closure (∅ : Set X) = ∅ :=
isClosed_empty.closure_eq
#align closure_empty closure_empty
@[simp]
theorem closure_empty_iff (s : Set X) : closure s = ∅ ↔ s = ∅ :=
⟨subset_eq_empty subset_closure, fun h => h.symm ▸ closure_empty⟩
#align closure_empty_iff closure_empty_iff
@[simp]
theorem closure_nonempty_iff : (closure s).Nonempty ↔ s.Nonempty := by
simp only [nonempty_iff_ne_empty, Ne, closure_empty_iff]
#align closure_nonempty_iff closure_nonempty_iff
alias ⟨Set.Nonempty.of_closure, Set.Nonempty.closure⟩ := closure_nonempty_iff
#align set.nonempty.of_closure Set.Nonempty.of_closure
#align set.nonempty.closure Set.Nonempty.closure
@[simp]
theorem closure_univ : closure (univ : Set X) = univ :=
isClosed_univ.closure_eq
#align closure_univ closure_univ
@[simp]
theorem closure_closure : closure (closure s) = closure s :=
isClosed_closure.closure_eq
#align closure_closure closure_closure
theorem closure_eq_compl_interior_compl : closure s = (interior sᶜ)ᶜ := by
rw [interior, closure, compl_sUnion, compl_image_set_of]
simp only [compl_subset_compl, isOpen_compl_iff]
#align closure_eq_compl_interior_compl closure_eq_compl_interior_compl
@[simp]
theorem closure_union : closure (s ∪ t) = closure s ∪ closure t := by
simp [closure_eq_compl_interior_compl, compl_inter]
#align closure_union closure_union
theorem Set.Finite.closure_biUnion {ι : Type*} {s : Set ι} (hs : s.Finite) (f : ι → Set X) :
closure (⋃ i ∈ s, f i) = ⋃ i ∈ s, closure (f i) := by
simp [closure_eq_compl_interior_compl, hs.interior_biInter]
theorem Set.Finite.closure_sUnion {S : Set (Set X)} (hS : S.Finite) :
closure (⋃₀ S) = ⋃ s ∈ S, closure s := by
rw [sUnion_eq_biUnion, hS.closure_biUnion]
@[simp]
theorem Finset.closure_biUnion {ι : Type*} (s : Finset ι) (f : ι → Set X) :
closure (⋃ i ∈ s, f i) = ⋃ i ∈ s, closure (f i) :=
s.finite_toSet.closure_biUnion f
#align finset.closure_bUnion Finset.closure_biUnion
@[simp]
theorem closure_iUnion_of_finite [Finite ι] (f : ι → Set X) :
closure (⋃ i, f i) = ⋃ i, closure (f i) := by
rw [← sUnion_range, (finite_range _).closure_sUnion, biUnion_range]
#align closure_Union closure_iUnion_of_finite
theorem interior_subset_closure : interior s ⊆ closure s :=
Subset.trans interior_subset subset_closure
#align interior_subset_closure interior_subset_closure
@[simp]
theorem interior_compl : interior sᶜ = (closure s)ᶜ := by
simp [closure_eq_compl_interior_compl]
#align interior_compl interior_compl
@[simp]
theorem closure_compl : closure sᶜ = (interior s)ᶜ := by
simp [closure_eq_compl_interior_compl]
#align closure_compl closure_compl
theorem mem_closure_iff :
x ∈ closure s ↔ ∀ o, IsOpen o → x ∈ o → (o ∩ s).Nonempty :=
⟨fun h o oo ao =>
by_contradiction fun os =>
have : s ⊆ oᶜ := fun x xs xo => os ⟨x, xo, xs⟩
closure_minimal this (isClosed_compl_iff.2 oo) h ao,
fun H _ ⟨h₁, h₂⟩ =>
by_contradiction fun nc =>
let ⟨_, hc, hs⟩ := H _ h₁.isOpen_compl nc
hc (h₂ hs)⟩
#align mem_closure_iff mem_closure_iff
theorem closure_inter_open_nonempty_iff (h : IsOpen t) :
(closure s ∩ t).Nonempty ↔ (s ∩ t).Nonempty :=
⟨fun ⟨_x, hxcs, hxt⟩ => inter_comm t s ▸ mem_closure_iff.1 hxcs t h hxt, fun h =>
h.mono <| inf_le_inf_right t subset_closure⟩
#align closure_inter_open_nonempty_iff closure_inter_open_nonempty_iff
theorem Filter.le_lift'_closure (l : Filter X) : l ≤ l.lift' closure :=
le_lift'.2 fun _ h => mem_of_superset h subset_closure
#align filter.le_lift'_closure Filter.le_lift'_closure
theorem Filter.HasBasis.lift'_closure {l : Filter X} {p : ι → Prop} {s : ι → Set X}
(h : l.HasBasis p s) : (l.lift' closure).HasBasis p fun i => closure (s i) :=
h.lift' (monotone_closure X)
#align filter.has_basis.lift'_closure Filter.HasBasis.lift'_closure
theorem Filter.HasBasis.lift'_closure_eq_self {l : Filter X} {p : ι → Prop} {s : ι → Set X}
(h : l.HasBasis p s) (hc : ∀ i, p i → IsClosed (s i)) : l.lift' closure = l :=
le_antisymm (h.ge_iff.2 fun i hi => (hc i hi).closure_eq ▸ mem_lift' (h.mem_of_mem hi))
l.le_lift'_closure
#align filter.has_basis.lift'_closure_eq_self Filter.HasBasis.lift'_closure_eq_self
@[simp]
theorem Filter.lift'_closure_eq_bot {l : Filter X} : l.lift' closure = ⊥ ↔ l = ⊥ :=
⟨fun h => bot_unique <| h ▸ l.le_lift'_closure, fun h =>
h.symm ▸ by rw [lift'_bot (monotone_closure _), closure_empty, principal_empty]⟩
#align filter.lift'_closure_eq_bot Filter.lift'_closure_eq_bot
theorem dense_iff_closure_eq : Dense s ↔ closure s = univ :=
eq_univ_iff_forall.symm
#align dense_iff_closure_eq dense_iff_closure_eq
alias ⟨Dense.closure_eq, _⟩ := dense_iff_closure_eq
#align dense.closure_eq Dense.closure_eq
theorem interior_eq_empty_iff_dense_compl : interior s = ∅ ↔ Dense sᶜ := by
rw [dense_iff_closure_eq, closure_compl, compl_univ_iff]
#align interior_eq_empty_iff_dense_compl interior_eq_empty_iff_dense_compl
theorem Dense.interior_compl (h : Dense s) : interior sᶜ = ∅ :=
interior_eq_empty_iff_dense_compl.2 <| by rwa [compl_compl]
#align dense.interior_compl Dense.interior_compl
@[simp]
theorem dense_closure : Dense (closure s) ↔ Dense s := by
rw [Dense, Dense, closure_closure]
#align dense_closure dense_closure
protected alias ⟨_, Dense.closure⟩ := dense_closure
alias ⟨Dense.of_closure, _⟩ := dense_closure
#align dense.of_closure Dense.of_closure
#align dense.closure Dense.closure
@[simp]
theorem dense_univ : Dense (univ : Set X) := fun _ => subset_closure trivial
#align dense_univ dense_univ
theorem dense_iff_inter_open :
Dense s ↔ ∀ U, IsOpen U → U.Nonempty → (U ∩ s).Nonempty := by
constructor <;> intro h
· rintro U U_op ⟨x, x_in⟩
exact mem_closure_iff.1 (h _) U U_op x_in
· intro x
rw [mem_closure_iff]
intro U U_op x_in
exact h U U_op ⟨_, x_in⟩
#align dense_iff_inter_open dense_iff_inter_open
alias ⟨Dense.inter_open_nonempty, _⟩ := dense_iff_inter_open
#align dense.inter_open_nonempty Dense.inter_open_nonempty
theorem Dense.exists_mem_open (hs : Dense s) {U : Set X} (ho : IsOpen U)
(hne : U.Nonempty) : ∃ x ∈ s, x ∈ U :=
let ⟨x, hx⟩ := hs.inter_open_nonempty U ho hne
⟨x, hx.2, hx.1⟩
#align dense.exists_mem_open Dense.exists_mem_open
theorem Dense.nonempty_iff (hs : Dense s) : s.Nonempty ↔ Nonempty X :=
⟨fun ⟨x, _⟩ => ⟨x⟩, fun ⟨x⟩ =>
let ⟨y, hy⟩ := hs.inter_open_nonempty _ isOpen_univ ⟨x, trivial⟩
⟨y, hy.2⟩⟩
#align dense.nonempty_iff Dense.nonempty_iff
theorem Dense.nonempty [h : Nonempty X] (hs : Dense s) : s.Nonempty :=
hs.nonempty_iff.2 h
#align dense.nonempty Dense.nonempty
@[mono]
theorem Dense.mono (h : s₁ ⊆ s₂) (hd : Dense s₁) : Dense s₂ := fun x =>
closure_mono h (hd x)
#align dense.mono Dense.mono
theorem dense_compl_singleton_iff_not_open :
Dense ({x}ᶜ : Set X) ↔ ¬IsOpen ({x} : Set X) := by
constructor
· intro hd ho
exact (hd.inter_open_nonempty _ ho (singleton_nonempty _)).ne_empty (inter_compl_self _)
· refine fun ho => dense_iff_inter_open.2 fun U hU hne => inter_compl_nonempty_iff.2 fun hUx => ?_
obtain rfl : U = {x} := eq_singleton_iff_nonempty_unique_mem.2 ⟨hne, hUx⟩
exact ho hU
#align dense_compl_singleton_iff_not_open dense_compl_singleton_iff_not_open
@[simp]
theorem closure_diff_interior (s : Set X) : closure s \ interior s = frontier s :=
rfl
#align closure_diff_interior closure_diff_interior
lemma disjoint_interior_frontier : Disjoint (interior s) (frontier s) := by
rw [disjoint_iff_inter_eq_empty, ← closure_diff_interior, diff_eq,
← inter_assoc, inter_comm, ← inter_assoc, compl_inter_self, empty_inter]
@[simp]
theorem closure_diff_frontier (s : Set X) : closure s \ frontier s = interior s := by
rw [frontier, diff_diff_right_self, inter_eq_self_of_subset_right interior_subset_closure]
#align closure_diff_frontier closure_diff_frontier
@[simp]
theorem self_diff_frontier (s : Set X) : s \ frontier s = interior s := by
rw [frontier, diff_diff_right, diff_eq_empty.2 subset_closure,
inter_eq_self_of_subset_right interior_subset, empty_union]
#align self_diff_frontier self_diff_frontier
theorem frontier_eq_closure_inter_closure : frontier s = closure s ∩ closure sᶜ := by
rw [closure_compl, frontier, diff_eq]
#align frontier_eq_closure_inter_closure frontier_eq_closure_inter_closure
theorem frontier_subset_closure : frontier s ⊆ closure s :=
diff_subset
#align frontier_subset_closure frontier_subset_closure
theorem IsClosed.frontier_subset (hs : IsClosed s) : frontier s ⊆ s :=
frontier_subset_closure.trans hs.closure_eq.subset
#align is_closed.frontier_subset IsClosed.frontier_subset
theorem frontier_closure_subset : frontier (closure s) ⊆ frontier s :=
diff_subset_diff closure_closure.subset <| interior_mono subset_closure
#align frontier_closure_subset frontier_closure_subset
theorem frontier_interior_subset : frontier (interior s) ⊆ frontier s :=
diff_subset_diff (closure_mono interior_subset) interior_interior.symm.subset
#align frontier_interior_subset frontier_interior_subset
@[simp]
theorem frontier_compl (s : Set X) : frontier sᶜ = frontier s := by
simp only [frontier_eq_closure_inter_closure, compl_compl, inter_comm]
#align frontier_compl frontier_compl
@[simp]
theorem frontier_univ : frontier (univ : Set X) = ∅ := by simp [frontier]
#align frontier_univ frontier_univ
@[simp]
theorem frontier_empty : frontier (∅ : Set X) = ∅ := by simp [frontier]
#align frontier_empty frontier_empty
theorem frontier_inter_subset (s t : Set X) :
frontier (s ∩ t) ⊆ frontier s ∩ closure t ∪ closure s ∩ frontier t := by
simp only [frontier_eq_closure_inter_closure, compl_inter, closure_union]
refine (inter_subset_inter_left _ (closure_inter_subset_inter_closure s t)).trans_eq ?_
simp only [inter_union_distrib_left, union_inter_distrib_right, inter_assoc,
inter_comm (closure t)]
#align frontier_inter_subset frontier_inter_subset
theorem frontier_union_subset (s t : Set X) :
frontier (s ∪ t) ⊆ frontier s ∩ closure tᶜ ∪ closure sᶜ ∩ frontier t := by
simpa only [frontier_compl, ← compl_union] using frontier_inter_subset sᶜ tᶜ
#align frontier_union_subset frontier_union_subset
theorem IsClosed.frontier_eq (hs : IsClosed s) : frontier s = s \ interior s := by
rw [frontier, hs.closure_eq]
#align is_closed.frontier_eq IsClosed.frontier_eq
theorem IsOpen.frontier_eq (hs : IsOpen s) : frontier s = closure s \ s := by
rw [frontier, hs.interior_eq]
#align is_open.frontier_eq IsOpen.frontier_eq
theorem IsOpen.inter_frontier_eq (hs : IsOpen s) : s ∩ frontier s = ∅ := by
rw [hs.frontier_eq, inter_diff_self]
#align is_open.inter_frontier_eq IsOpen.inter_frontier_eq
theorem isClosed_frontier : IsClosed (frontier s) := by
rw [frontier_eq_closure_inter_closure]; exact IsClosed.inter isClosed_closure isClosed_closure
#align is_closed_frontier isClosed_frontier
theorem interior_frontier (h : IsClosed s) : interior (frontier s) = ∅ := by
have A : frontier s = s \ interior s := h.frontier_eq
have B : interior (frontier s) ⊆ interior s := by rw [A]; exact interior_mono diff_subset
have C : interior (frontier s) ⊆ frontier s := interior_subset
have : interior (frontier s) ⊆ interior s ∩ (s \ interior s) :=
subset_inter B (by simpa [A] using C)
rwa [inter_diff_self, subset_empty_iff] at this
#align interior_frontier interior_frontier
theorem closure_eq_interior_union_frontier (s : Set X) : closure s = interior s ∪ frontier s :=
(union_diff_cancel interior_subset_closure).symm
#align closure_eq_interior_union_frontier closure_eq_interior_union_frontier
theorem closure_eq_self_union_frontier (s : Set X) : closure s = s ∪ frontier s :=
(union_diff_cancel' interior_subset subset_closure).symm
#align closure_eq_self_union_frontier closure_eq_self_union_frontier
theorem Disjoint.frontier_left (ht : IsOpen t) (hd : Disjoint s t) : Disjoint (frontier s) t :=
subset_compl_iff_disjoint_right.1 <|
frontier_subset_closure.trans <| closure_minimal (disjoint_left.1 hd) <| isClosed_compl_iff.2 ht
#align disjoint.frontier_left Disjoint.frontier_left
theorem Disjoint.frontier_right (hs : IsOpen s) (hd : Disjoint s t) : Disjoint s (frontier t) :=
(hd.symm.frontier_left hs).symm
#align disjoint.frontier_right Disjoint.frontier_right
theorem frontier_eq_inter_compl_interior :
frontier s = (interior s)ᶜ ∩ (interior sᶜ)ᶜ := by
rw [← frontier_compl, ← closure_compl, ← diff_eq, closure_diff_interior]
#align frontier_eq_inter_compl_interior frontier_eq_inter_compl_interior
theorem compl_frontier_eq_union_interior :
(frontier s)ᶜ = interior s ∪ interior sᶜ := by
rw [frontier_eq_inter_compl_interior]
simp only [compl_inter, compl_compl]
#align compl_frontier_eq_union_interior compl_frontier_eq_union_interior
| Mathlib/Topology/Basic.lean | 783 | 784 | theorem nhds_def' (x : X) : 𝓝 x = ⨅ (s : Set X) (_ : IsOpen s) (_ : x ∈ s), 𝓟 s := by |
simp only [nhds_def, mem_setOf_eq, @and_comm (x ∈ _), iInf_and]
|
import Batteries.Data.Rat.Basic
import Batteries.Tactic.SeqFocus
namespace Rat
theorem ext : {p q : Rat} → p.num = q.num → p.den = q.den → p = q
| ⟨_,_,_,_⟩, ⟨_,_,_,_⟩, rfl, rfl => rfl
@[simp] theorem mk_den_one {r : Int} :
⟨r, 1, Nat.one_ne_zero, (Nat.coprime_one_right _)⟩ = (r : Rat) := rfl
@[simp] theorem zero_num : (0 : Rat).num = 0 := rfl
@[simp] theorem zero_den : (0 : Rat).den = 1 := rfl
@[simp] theorem one_num : (1 : Rat).num = 1 := rfl
@[simp] theorem one_den : (1 : Rat).den = 1 := rfl
@[simp] theorem maybeNormalize_eq {num den g} (den_nz reduced) :
maybeNormalize num den g den_nz reduced =
{ num := num.div g, den := den / g, den_nz, reduced } := by
unfold maybeNormalize; split
· subst g; simp
· rfl
theorem normalize.reduced' {num : Int} {den g : Nat} (den_nz : den ≠ 0)
(e : g = num.natAbs.gcd den) : (num / g).natAbs.Coprime (den / g) := by
rw [← Int.div_eq_ediv_of_dvd (e ▸ Int.ofNat_dvd_left.2 (Nat.gcd_dvd_left ..))]
exact normalize.reduced den_nz e
theorem normalize_eq {num den} (den_nz) : normalize num den den_nz =
{ num := num / num.natAbs.gcd den
den := den / num.natAbs.gcd den
den_nz := normalize.den_nz den_nz rfl
reduced := normalize.reduced' den_nz rfl } := by
simp only [normalize, maybeNormalize_eq,
Int.div_eq_ediv_of_dvd (Int.ofNat_dvd_left.2 (Nat.gcd_dvd_left ..))]
@[simp] theorem normalize_zero (nz) : normalize 0 d nz = 0 := by
simp [normalize, Int.zero_div, Int.natAbs_zero, Nat.div_self (Nat.pos_of_ne_zero nz)]; rfl
theorem mk_eq_normalize (num den nz c) : ⟨num, den, nz, c⟩ = normalize num den nz := by
simp [normalize_eq, c.gcd_eq_one]
theorem normalize_self (r : Rat) : normalize r.num r.den r.den_nz = r := (mk_eq_normalize ..).symm
theorem normalize_mul_left {a : Nat} (d0 : d ≠ 0) (a0 : a ≠ 0) :
normalize (↑a * n) (a * d) (Nat.mul_ne_zero a0 d0) = normalize n d d0 := by
simp [normalize_eq, mk'.injEq, Int.natAbs_mul, Nat.gcd_mul_left,
Nat.mul_div_mul_left _ _ (Nat.pos_of_ne_zero a0), Int.ofNat_mul,
Int.mul_ediv_mul_of_pos _ _ (Int.ofNat_pos.2 <| Nat.pos_of_ne_zero a0)]
theorem normalize_mul_right {a : Nat} (d0 : d ≠ 0) (a0 : a ≠ 0) :
normalize (n * a) (d * a) (Nat.mul_ne_zero d0 a0) = normalize n d d0 := by
rw [← normalize_mul_left (d0 := d0) a0]; congr 1 <;> [apply Int.mul_comm; apply Nat.mul_comm]
theorem normalize_eq_iff (z₁ : d₁ ≠ 0) (z₂ : d₂ ≠ 0) :
normalize n₁ d₁ z₁ = normalize n₂ d₂ z₂ ↔ n₁ * d₂ = n₂ * d₁ := by
constructor <;> intro h
· simp only [normalize_eq, mk'.injEq] at h
have' hn₁ := Int.ofNat_dvd_left.2 <| Nat.gcd_dvd_left n₁.natAbs d₁
have' hn₂ := Int.ofNat_dvd_left.2 <| Nat.gcd_dvd_left n₂.natAbs d₂
have' hd₁ := Int.ofNat_dvd.2 <| Nat.gcd_dvd_right n₁.natAbs d₁
have' hd₂ := Int.ofNat_dvd.2 <| Nat.gcd_dvd_right n₂.natAbs d₂
rw [← Int.ediv_mul_cancel (Int.dvd_trans hd₂ (Int.dvd_mul_left ..)),
Int.mul_ediv_assoc _ hd₂, ← Int.ofNat_ediv, ← h.2, Int.ofNat_ediv,
← Int.mul_ediv_assoc _ hd₁, Int.mul_ediv_assoc' _ hn₁,
Int.mul_right_comm, h.1, Int.ediv_mul_cancel hn₂]
· rw [← normalize_mul_right _ z₂, ← normalize_mul_left z₂ z₁, Int.mul_comm d₁, h]
theorem maybeNormalize_eq_normalize {num : Int} {den g : Nat} (den_nz reduced)
(hn : ↑g ∣ num) (hd : g ∣ den) :
maybeNormalize num den g den_nz reduced = normalize num den (mt (by simp [·]) den_nz) := by
simp only [maybeNormalize_eq, mk_eq_normalize, Int.div_eq_ediv_of_dvd hn]
have : g ≠ 0 := mt (by simp [·]) den_nz
rw [← normalize_mul_right _ this, Int.ediv_mul_cancel hn]
congr 1; exact Nat.div_mul_cancel hd
@[simp] theorem normalize_eq_zero (d0 : d ≠ 0) : normalize n d d0 = 0 ↔ n = 0 := by
have' := normalize_eq_iff d0 Nat.one_ne_zero
rw [normalize_zero (d := 1)] at this; rw [this]; simp
theorem normalize_num_den' (num den nz) : ∃ d : Nat, d ≠ 0 ∧
num = (normalize num den nz).num * d ∧ den = (normalize num den nz).den * d := by
refine ⟨num.natAbs.gcd den, Nat.gcd_ne_zero_right nz, ?_⟩
simp [normalize_eq, Int.ediv_mul_cancel (Int.ofNat_dvd_left.2 <| Nat.gcd_dvd_left ..),
Nat.div_mul_cancel (Nat.gcd_dvd_right ..)]
theorem normalize_num_den (h : normalize n d z = ⟨n', d', z', c⟩) :
∃ m : Nat, m ≠ 0 ∧ n = n' * m ∧ d = d' * m := by
have := normalize_num_den' n d z; rwa [h] at this
theorem normalize_eq_mkRat {num den} (den_nz) : normalize num den den_nz = mkRat num den := by
simp [mkRat, den_nz]
theorem mkRat_num_den (z : d ≠ 0) (h : mkRat n d = ⟨n', d', z', c⟩) :
∃ m : Nat, m ≠ 0 ∧ n = n' * m ∧ d = d' * m :=
normalize_num_den ((normalize_eq_mkRat z).symm ▸ h)
theorem mkRat_def (n d) : mkRat n d = if d0 : d = 0 then 0 else normalize n d d0 := rfl
theorem mkRat_self (a : Rat) : mkRat a.num a.den = a := by
rw [← normalize_eq_mkRat a.den_nz, normalize_self]
theorem mk_eq_mkRat (num den nz c) : ⟨num, den, nz, c⟩ = mkRat num den := by
simp [mk_eq_normalize, normalize_eq_mkRat]
@[simp] theorem zero_mkRat (n) : mkRat 0 n = 0 := by simp [mkRat_def]
@[simp] theorem mkRat_zero (n) : mkRat n 0 = 0 := by simp [mkRat_def]
theorem mkRat_eq_zero (d0 : d ≠ 0) : mkRat n d = 0 ↔ n = 0 := by simp [mkRat_def, d0]
theorem mkRat_ne_zero (d0 : d ≠ 0) : mkRat n d ≠ 0 ↔ n ≠ 0 := not_congr (mkRat_eq_zero d0)
theorem mkRat_mul_left {a : Nat} (a0 : a ≠ 0) : mkRat (↑a * n) (a * d) = mkRat n d := by
if d0 : d = 0 then simp [d0] else
rw [← normalize_eq_mkRat d0, ← normalize_mul_left d0 a0, normalize_eq_mkRat]
theorem mkRat_mul_right {a : Nat} (a0 : a ≠ 0) : mkRat (n * a) (d * a) = mkRat n d := by
rw [← mkRat_mul_left (d := d) a0]; congr 1 <;> [apply Int.mul_comm; apply Nat.mul_comm]
theorem mkRat_eq_iff (z₁ : d₁ ≠ 0) (z₂ : d₂ ≠ 0) :
mkRat n₁ d₁ = mkRat n₂ d₂ ↔ n₁ * d₂ = n₂ * d₁ := by
rw [← normalize_eq_mkRat z₁, ← normalize_eq_mkRat z₂, normalize_eq_iff]
@[simp] theorem divInt_ofNat (num den) : num /. (den : Nat) = mkRat num den := by
simp [divInt, normalize_eq_mkRat]
theorem mk_eq_divInt (num den nz c) : ⟨num, den, nz, c⟩ = num /. (den : Nat) := by
simp [mk_eq_mkRat]
theorem divInt_self (a : Rat) : a.num /. a.den = a := by rw [divInt_ofNat, mkRat_self]
@[simp] theorem zero_divInt (n) : 0 /. n = 0 := by cases n <;> simp [divInt]
@[simp] theorem divInt_zero (n) : n /. 0 = 0 := mkRat_zero n
theorem neg_divInt_neg (num den) : -num /. -den = num /. den := by
match den with
| Nat.succ n =>
simp only [divInt, Int.neg_ofNat_succ]
simp [normalize_eq_mkRat, Int.neg_neg]
| 0 => rfl
| Int.negSucc n =>
simp only [divInt, Int.neg_negSucc]
simp [normalize_eq_mkRat, Int.neg_neg]
theorem divInt_neg' (num den) : num /. -den = -num /. den := by rw [← neg_divInt_neg, Int.neg_neg]
theorem divInt_eq_iff (z₁ : d₁ ≠ 0) (z₂ : d₂ ≠ 0) :
n₁ /. d₁ = n₂ /. d₂ ↔ n₁ * d₂ = n₂ * d₁ := by
rcases Int.eq_nat_or_neg d₁ with ⟨_, rfl | rfl⟩ <;>
rcases Int.eq_nat_or_neg d₂ with ⟨_, rfl | rfl⟩ <;>
simp_all [divInt_neg', Int.ofNat_eq_zero, Int.neg_eq_zero,
mkRat_eq_iff, Int.neg_mul, Int.mul_neg, Int.eq_neg_comm, eq_comm]
theorem divInt_mul_left {a : Int} (a0 : a ≠ 0) : (a * n) /. (a * d) = n /. d := by
if d0 : d = 0 then simp [d0] else
simp [divInt_eq_iff (Int.mul_ne_zero a0 d0) d0, Int.mul_assoc, Int.mul_left_comm]
theorem divInt_mul_right {a : Int} (a0 : a ≠ 0) : (n * a) /. (d * a) = n /. d := by
simp [← divInt_mul_left (d := d) a0, Int.mul_comm]
theorem divInt_num_den (z : d ≠ 0) (h : n /. d = ⟨n', d', z', c⟩) :
∃ m, m ≠ 0 ∧ n = n' * m ∧ d = d' * m := by
rcases Int.eq_nat_or_neg d with ⟨_, rfl | rfl⟩ <;>
simp_all [divInt_neg', Int.ofNat_eq_zero, Int.neg_eq_zero]
· have ⟨m, h₁, h₂⟩ := mkRat_num_den z h; exists m
simp [Int.ofNat_eq_zero, Int.ofNat_mul, h₁, h₂]
· have ⟨m, h₁, h₂⟩ := mkRat_num_den z h; exists -m
rw [← Int.neg_inj, Int.neg_neg] at h₂
simp [Int.ofNat_eq_zero, Int.ofNat_mul, h₁, h₂, Int.mul_neg, Int.neg_eq_zero]
@[simp] theorem ofInt_ofNat : ofInt (OfNat.ofNat n) = OfNat.ofNat n := rfl
@[simp] theorem ofInt_num : (ofInt n : Rat).num = n := rfl
@[simp] theorem ofInt_den : (ofInt n : Rat).den = 1 := rfl
@[simp] theorem ofNat_num : (OfNat.ofNat n : Rat).num = OfNat.ofNat n := rfl
@[simp] theorem ofNat_den : (OfNat.ofNat n : Rat).den = 1 := rfl
theorem add_def (a b : Rat) :
a + b = normalize (a.num * b.den + b.num * a.den) (a.den * b.den)
(Nat.mul_ne_zero a.den_nz b.den_nz) := by
show Rat.add .. = _; delta Rat.add; dsimp only; split
· exact (normalize_self _).symm
· have : a.den.gcd b.den ≠ 0 := Nat.gcd_ne_zero_left a.den_nz
rw [maybeNormalize_eq_normalize _ _
(Int.ofNat_dvd_left.2 <| Nat.gcd_dvd_left ..)
(Nat.dvd_trans (Nat.gcd_dvd_right ..) <|
Nat.dvd_trans (Nat.gcd_dvd_right ..) (Nat.dvd_mul_left ..)),
← normalize_mul_right _ this]; congr 1
· simp only [Int.add_mul, Int.mul_assoc, Int.ofNat_mul_ofNat,
Nat.div_mul_cancel (Nat.gcd_dvd_left ..), Nat.div_mul_cancel (Nat.gcd_dvd_right ..)]
· rw [Nat.mul_right_comm, Nat.div_mul_cancel (Nat.gcd_dvd_left ..)]
theorem add_def' (a b : Rat) : a + b = mkRat (a.num * b.den + b.num * a.den) (a.den * b.den) := by
rw [add_def, normalize_eq_mkRat]
theorem normalize_add_normalize (n₁ n₂) {d₁ d₂} (z₁ z₂) :
normalize n₁ d₁ z₁ + normalize n₂ d₂ z₂ =
normalize (n₁ * d₂ + n₂ * d₁) (d₁ * d₂) (Nat.mul_ne_zero z₁ z₂) := by
cases e₁ : normalize n₁ d₁ z₁; rcases normalize_num_den e₁ with ⟨g₁, zg₁, rfl, rfl⟩
cases e₂ : normalize n₂ d₂ z₂; rcases normalize_num_den e₂ with ⟨g₂, zg₂, rfl, rfl⟩
simp only [add_def]; rw [← normalize_mul_right _ (Nat.mul_ne_zero zg₁ zg₂)]; congr 1
· rw [Int.add_mul]; simp [Int.ofNat_mul, Int.mul_assoc, Int.mul_left_comm, Int.mul_comm]
· simp [Nat.mul_left_comm, Nat.mul_comm]
theorem mkRat_add_mkRat (n₁ n₂ : Int) {d₁ d₂} (z₁ : d₁ ≠ 0) (z₂ : d₂ ≠ 0) :
mkRat n₁ d₁ + mkRat n₂ d₂ = mkRat (n₁ * d₂ + n₂ * d₁) (d₁ * d₂) := by
rw [← normalize_eq_mkRat z₁, ← normalize_eq_mkRat z₂, normalize_add_normalize, normalize_eq_mkRat]
theorem divInt_add_divInt (n₁ n₂ : Int) {d₁ d₂} (z₁ : d₁ ≠ 0) (z₂ : d₂ ≠ 0) :
n₁ /. d₁ + n₂ /. d₂ = (n₁ * d₂ + n₂ * d₁) /. (d₁ * d₂) := by
rcases Int.eq_nat_or_neg d₁ with ⟨_, rfl | rfl⟩ <;>
rcases Int.eq_nat_or_neg d₂ with ⟨_, rfl | rfl⟩ <;>
simp_all [-Int.natCast_mul, Int.ofNat_eq_zero, Int.neg_eq_zero, divInt_neg', Int.mul_neg,
Int.ofNat_mul_ofNat, Int.neg_add, Int.neg_mul, mkRat_add_mkRat]
@[simp] theorem neg_num (a : Rat) : (-a).num = -a.num := rfl
@[simp] theorem neg_den (a : Rat) : (-a).den = a.den := rfl
theorem neg_normalize (n d z) : -normalize n d z = normalize (-n) d z := by
simp [normalize]; rfl
theorem neg_mkRat (n d) : -mkRat n d = mkRat (-n) d := by
if z : d = 0 then simp [z]; rfl else simp [← normalize_eq_mkRat z, neg_normalize]
theorem neg_divInt (n d) : -(n /. d) = -n /. d := by
rcases Int.eq_nat_or_neg d with ⟨_, rfl | rfl⟩ <;> simp [divInt_neg', neg_mkRat]
theorem sub_def (a b : Rat) :
a - b = normalize (a.num * b.den - b.num * a.den) (a.den * b.den)
(Nat.mul_ne_zero a.den_nz b.den_nz) := by
show Rat.sub .. = _; delta Rat.sub; dsimp only; split
· exact (normalize_self _).symm
· have : a.den.gcd b.den ≠ 0 := Nat.gcd_ne_zero_left a.den_nz
rw [maybeNormalize_eq_normalize _ _
(Int.ofNat_dvd_left.2 <| Nat.gcd_dvd_left ..)
(Nat.dvd_trans (Nat.gcd_dvd_right ..) <|
Nat.dvd_trans (Nat.gcd_dvd_right ..) (Nat.dvd_mul_left ..)),
← normalize_mul_right _ this]; congr 1
· simp only [Int.sub_mul, Int.mul_assoc, Int.ofNat_mul_ofNat,
Nat.div_mul_cancel (Nat.gcd_dvd_left ..), Nat.div_mul_cancel (Nat.gcd_dvd_right ..)]
· rw [Nat.mul_right_comm, Nat.div_mul_cancel (Nat.gcd_dvd_left ..)]
theorem sub_def' (a b : Rat) : a - b = mkRat (a.num * b.den - b.num * a.den) (a.den * b.den) := by
rw [sub_def, normalize_eq_mkRat]
protected theorem sub_eq_add_neg (a b : Rat) : a - b = a + -b := by
simp [add_def, sub_def, Int.neg_mul, Int.sub_eq_add_neg]
theorem divInt_sub_divInt (n₁ n₂ : Int) {d₁ d₂} (z₁ : d₁ ≠ 0) (z₂ : d₂ ≠ 0) :
n₁ /. d₁ - n₂ /. d₂ = (n₁ * d₂ - n₂ * d₁) /. (d₁ * d₂) := by
simp only [Rat.sub_eq_add_neg, neg_divInt,
divInt_add_divInt _ _ z₁ z₂, Int.neg_mul, Int.sub_eq_add_neg]
| .lake/packages/batteries/Batteries/Data/Rat/Lemmas.lean | 264 | 275 | theorem mul_def (a b : Rat) :
a * b = normalize (a.num * b.num) (a.den * b.den) (Nat.mul_ne_zero a.den_nz b.den_nz) := by |
show Rat.mul .. = _; delta Rat.mul; dsimp only
have H1 : a.num.natAbs.gcd b.den ≠ 0 := Nat.gcd_ne_zero_right b.den_nz
have H2 : b.num.natAbs.gcd a.den ≠ 0 := Nat.gcd_ne_zero_right a.den_nz
rw [mk_eq_normalize, ← normalize_mul_right _ (Nat.mul_ne_zero H1 H2)]; congr 1
· rw [Int.ofNat_mul, ← Int.mul_assoc, Int.mul_right_comm (Int.div ..),
Int.div_mul_cancel (Int.ofNat_dvd_left.2 <| Nat.gcd_dvd_left ..), Int.mul_assoc,
Int.div_mul_cancel (Int.ofNat_dvd_left.2 <| Nat.gcd_dvd_left ..)]
· rw [← Nat.mul_assoc, Nat.mul_right_comm, Nat.mul_right_comm (_/_),
Nat.div_mul_cancel (Nat.gcd_dvd_right ..), Nat.mul_assoc,
Nat.div_mul_cancel (Nat.gcd_dvd_right ..)]
|
import Mathlib.Algebra.QuadraticDiscriminant
import Mathlib.Analysis.Convex.SpecificFunctions.Deriv
import Mathlib.Analysis.SpecialFunctions.Pow.Complex
#align_import analysis.special_functions.trigonometric.complex from "leanprover-community/mathlib"@"8f9fea08977f7e450770933ee6abb20733b47c92"
noncomputable section
namespace Complex
open Set Filter
open scoped Real
theorem cos_eq_zero_iff {θ : ℂ} : cos θ = 0 ↔ ∃ k : ℤ, θ = (2 * k + 1) * π / 2 := by
have h : (exp (θ * I) + exp (-θ * I)) / 2 = 0 ↔ exp (2 * θ * I) = -1 := by
rw [@div_eq_iff _ _ (exp (θ * I) + exp (-θ * I)) 2 0 two_ne_zero, zero_mul,
add_eq_zero_iff_eq_neg, neg_eq_neg_one_mul, ← div_eq_iff (exp_ne_zero _), ← exp_sub]
ring_nf
rw [cos, h, ← exp_pi_mul_I, exp_eq_exp_iff_exists_int, mul_right_comm]
refine exists_congr fun x => ?_
refine (iff_of_eq <| congr_arg _ ?_).trans (mul_right_inj' <| mul_ne_zero two_ne_zero I_ne_zero)
field_simp; ring
#align complex.cos_eq_zero_iff Complex.cos_eq_zero_iff
theorem cos_ne_zero_iff {θ : ℂ} : cos θ ≠ 0 ↔ ∀ k : ℤ, θ ≠ (2 * k + 1) * π / 2 := by
rw [← not_exists, not_iff_not, cos_eq_zero_iff]
#align complex.cos_ne_zero_iff Complex.cos_ne_zero_iff
theorem sin_eq_zero_iff {θ : ℂ} : sin θ = 0 ↔ ∃ k : ℤ, θ = k * π := by
rw [← Complex.cos_sub_pi_div_two, cos_eq_zero_iff]
constructor
· rintro ⟨k, hk⟩
use k + 1
field_simp [eq_add_of_sub_eq hk]
ring
· rintro ⟨k, rfl⟩
use k - 1
field_simp
ring
#align complex.sin_eq_zero_iff Complex.sin_eq_zero_iff
theorem sin_ne_zero_iff {θ : ℂ} : sin θ ≠ 0 ↔ ∀ k : ℤ, θ ≠ k * π := by
rw [← not_exists, not_iff_not, sin_eq_zero_iff]
#align complex.sin_ne_zero_iff Complex.sin_ne_zero_iff
theorem tan_eq_zero_iff {θ : ℂ} : tan θ = 0 ↔ ∃ k : ℤ, k * π / 2 = θ := by
rw [tan, div_eq_zero_iff, ← mul_eq_zero, ← mul_right_inj' two_ne_zero, mul_zero,
← mul_assoc, ← sin_two_mul, sin_eq_zero_iff]
field_simp [mul_comm, eq_comm]
#align complex.tan_eq_zero_iff Complex.tan_eq_zero_iff
theorem tan_ne_zero_iff {θ : ℂ} : tan θ ≠ 0 ↔ ∀ k : ℤ, (k * π / 2 : ℂ) ≠ θ := by
rw [← not_exists, not_iff_not, tan_eq_zero_iff]
#align complex.tan_ne_zero_iff Complex.tan_ne_zero_iff
theorem tan_int_mul_pi_div_two (n : ℤ) : tan (n * π / 2) = 0 :=
tan_eq_zero_iff.mpr (by use n)
#align complex.tan_int_mul_pi_div_two Complex.tan_int_mul_pi_div_two
theorem tan_eq_zero_iff' {θ : ℂ} (hθ : cos θ ≠ 0) : tan θ = 0 ↔ ∃ k : ℤ, k * π = θ := by
simp only [tan, hθ, div_eq_zero_iff, sin_eq_zero_iff]; simp [eq_comm]
theorem cos_eq_cos_iff {x y : ℂ} : cos x = cos y ↔ ∃ k : ℤ, y = 2 * k * π + x ∨ y = 2 * k * π - x :=
calc
cos x = cos y ↔ cos x - cos y = 0 := sub_eq_zero.symm
_ ↔ -2 * sin ((x + y) / 2) * sin ((x - y) / 2) = 0 := by rw [cos_sub_cos]
_ ↔ sin ((x + y) / 2) = 0 ∨ sin ((x - y) / 2) = 0 := by simp [(by norm_num : (2 : ℂ) ≠ 0)]
_ ↔ sin ((x - y) / 2) = 0 ∨ sin ((x + y) / 2) = 0 := or_comm
_ ↔ (∃ k : ℤ, y = 2 * k * π + x) ∨ ∃ k : ℤ, y = 2 * k * π - x := by
apply or_congr <;>
field_simp [sin_eq_zero_iff, (by norm_num : -(2 : ℂ) ≠ 0), eq_sub_iff_add_eq',
sub_eq_iff_eq_add, mul_comm (2 : ℂ), mul_right_comm _ (2 : ℂ)]
constructor <;> · rintro ⟨k, rfl⟩; use -k; simp
_ ↔ ∃ k : ℤ, y = 2 * k * π + x ∨ y = 2 * k * π - x := exists_or.symm
#align complex.cos_eq_cos_iff Complex.cos_eq_cos_iff
| Mathlib/Analysis/SpecialFunctions/Trigonometric/Complex.lean | 104 | 107 | theorem sin_eq_sin_iff {x y : ℂ} :
sin x = sin y ↔ ∃ k : ℤ, y = 2 * k * π + x ∨ y = (2 * k + 1) * π - x := by |
simp only [← Complex.cos_sub_pi_div_two, cos_eq_cos_iff, sub_eq_iff_eq_add]
refine exists_congr fun k => or_congr ?_ ?_ <;> refine Eq.congr rfl ?_ <;> field_simp <;> ring
|
import Mathlib.Data.ENNReal.Real
import Mathlib.Order.Interval.Finset.Nat
import Mathlib.Topology.UniformSpace.Pi
import Mathlib.Topology.UniformSpace.UniformConvergence
import Mathlib.Topology.UniformSpace.UniformEmbedding
#align_import topology.metric_space.emetric_space from "leanprover-community/mathlib"@"c8f305514e0d47dfaa710f5a52f0d21b588e6328"
open Set Filter Classical
open scoped Uniformity Topology Filter NNReal ENNReal Pointwise
universe u v w
variable {α : Type u} {β : Type v} {X : Type*}
theorem uniformity_dist_of_mem_uniformity [LinearOrder β] {U : Filter (α × α)} (z : β)
(D : α → α → β) (H : ∀ s, s ∈ U ↔ ∃ ε > z, ∀ {a b : α}, D a b < ε → (a, b) ∈ s) :
U = ⨅ ε > z, 𝓟 { p : α × α | D p.1 p.2 < ε } :=
HasBasis.eq_biInf ⟨fun s => by simp only [H, subset_def, Prod.forall, mem_setOf]⟩
#align uniformity_dist_of_mem_uniformity uniformity_dist_of_mem_uniformity
@[ext]
class EDist (α : Type*) where
edist : α → α → ℝ≥0∞
#align has_edist EDist
export EDist (edist)
def uniformSpaceOfEDist (edist : α → α → ℝ≥0∞) (edist_self : ∀ x : α, edist x x = 0)
(edist_comm : ∀ x y : α, edist x y = edist y x)
(edist_triangle : ∀ x y z : α, edist x z ≤ edist x y + edist y z) : UniformSpace α :=
.ofFun edist edist_self edist_comm edist_triangle fun ε ε0 =>
⟨ε / 2, ENNReal.half_pos ε0.ne', fun _ h₁ _ h₂ =>
(ENNReal.add_lt_add h₁ h₂).trans_eq (ENNReal.add_halves _)⟩
#align uniform_space_of_edist uniformSpaceOfEDist
-- the uniform structure is embedded in the emetric space structure
-- to avoid instance diamond issues. See Note [forgetful inheritance].
class PseudoEMetricSpace (α : Type u) extends EDist α : Type u where
edist_self : ∀ x : α, edist x x = 0
edist_comm : ∀ x y : α, edist x y = edist y x
edist_triangle : ∀ x y z : α, edist x z ≤ edist x y + edist y z
toUniformSpace : UniformSpace α := uniformSpaceOfEDist edist edist_self edist_comm edist_triangle
uniformity_edist : 𝓤 α = ⨅ ε > 0, 𝓟 { p : α × α | edist p.1 p.2 < ε } := by rfl
#align pseudo_emetric_space PseudoEMetricSpace
attribute [instance] PseudoEMetricSpace.toUniformSpace
@[ext]
protected theorem PseudoEMetricSpace.ext {α : Type*} {m m' : PseudoEMetricSpace α}
(h : m.toEDist = m'.toEDist) : m = m' := by
cases' m with ed _ _ _ U hU
cases' m' with ed' _ _ _ U' hU'
congr 1
exact UniformSpace.ext (((show ed = ed' from h) ▸ hU).trans hU'.symm)
variable [PseudoEMetricSpace α]
export PseudoEMetricSpace (edist_self edist_comm edist_triangle)
attribute [simp] edist_self
theorem edist_triangle_left (x y z : α) : edist x y ≤ edist z x + edist z y := by
rw [edist_comm z]; apply edist_triangle
#align edist_triangle_left edist_triangle_left
theorem edist_triangle_right (x y z : α) : edist x y ≤ edist x z + edist y z := by
rw [edist_comm y]; apply edist_triangle
#align edist_triangle_right edist_triangle_right
theorem edist_congr_right {x y z : α} (h : edist x y = 0) : edist x z = edist y z := by
apply le_antisymm
· rw [← zero_add (edist y z), ← h]
apply edist_triangle
· rw [edist_comm] at h
rw [← zero_add (edist x z), ← h]
apply edist_triangle
#align edist_congr_right edist_congr_right
theorem edist_congr_left {x y z : α} (h : edist x y = 0) : edist z x = edist z y := by
rw [edist_comm z x, edist_comm z y]
apply edist_congr_right h
#align edist_congr_left edist_congr_left
-- new theorem
theorem edist_congr {w x y z : α} (hl : edist w x = 0) (hr : edist y z = 0) :
edist w y = edist x z :=
(edist_congr_right hl).trans (edist_congr_left hr)
theorem edist_triangle4 (x y z t : α) : edist x t ≤ edist x y + edist y z + edist z t :=
calc
edist x t ≤ edist x z + edist z t := edist_triangle x z t
_ ≤ edist x y + edist y z + edist z t := add_le_add_right (edist_triangle x y z) _
#align edist_triangle4 edist_triangle4
theorem edist_le_Ico_sum_edist (f : ℕ → α) {m n} (h : m ≤ n) :
edist (f m) (f n) ≤ ∑ i ∈ Finset.Ico m n, edist (f i) (f (i + 1)) := by
induction n, h using Nat.le_induction with
| base => rw [Finset.Ico_self, Finset.sum_empty, edist_self]
| succ n hle ihn =>
calc
edist (f m) (f (n + 1)) ≤ edist (f m) (f n) + edist (f n) (f (n + 1)) := edist_triangle _ _ _
_ ≤ (∑ i ∈ Finset.Ico m n, _) + _ := add_le_add ihn le_rfl
_ = ∑ i ∈ Finset.Ico m (n + 1), _ := by
{ rw [Nat.Ico_succ_right_eq_insert_Ico hle, Finset.sum_insert, add_comm]; simp }
#align edist_le_Ico_sum_edist edist_le_Ico_sum_edist
theorem edist_le_range_sum_edist (f : ℕ → α) (n : ℕ) :
edist (f 0) (f n) ≤ ∑ i ∈ Finset.range n, edist (f i) (f (i + 1)) :=
Nat.Ico_zero_eq_range ▸ edist_le_Ico_sum_edist f (Nat.zero_le n)
#align edist_le_range_sum_edist edist_le_range_sum_edist
theorem edist_le_Ico_sum_of_edist_le {f : ℕ → α} {m n} (hmn : m ≤ n) {d : ℕ → ℝ≥0∞}
(hd : ∀ {k}, m ≤ k → k < n → edist (f k) (f (k + 1)) ≤ d k) :
edist (f m) (f n) ≤ ∑ i ∈ Finset.Ico m n, d i :=
le_trans (edist_le_Ico_sum_edist f hmn) <|
Finset.sum_le_sum fun _k hk => hd (Finset.mem_Ico.1 hk).1 (Finset.mem_Ico.1 hk).2
#align edist_le_Ico_sum_of_edist_le edist_le_Ico_sum_of_edist_le
theorem edist_le_range_sum_of_edist_le {f : ℕ → α} (n : ℕ) {d : ℕ → ℝ≥0∞}
(hd : ∀ {k}, k < n → edist (f k) (f (k + 1)) ≤ d k) :
edist (f 0) (f n) ≤ ∑ i ∈ Finset.range n, d i :=
Nat.Ico_zero_eq_range ▸ edist_le_Ico_sum_of_edist_le (zero_le n) fun _ => hd
#align edist_le_range_sum_of_edist_le edist_le_range_sum_of_edist_le
theorem uniformity_pseudoedist : 𝓤 α = ⨅ ε > 0, 𝓟 { p : α × α | edist p.1 p.2 < ε } :=
PseudoEMetricSpace.uniformity_edist
#align uniformity_pseudoedist uniformity_pseudoedist
theorem uniformSpace_edist :
‹PseudoEMetricSpace α›.toUniformSpace =
uniformSpaceOfEDist edist edist_self edist_comm edist_triangle :=
UniformSpace.ext uniformity_pseudoedist
#align uniform_space_edist uniformSpace_edist
theorem uniformity_basis_edist :
(𝓤 α).HasBasis (fun ε : ℝ≥0∞ => 0 < ε) fun ε => { p : α × α | edist p.1 p.2 < ε } :=
(@uniformSpace_edist α _).symm ▸ UniformSpace.hasBasis_ofFun ⟨1, one_pos⟩ _ _ _ _ _
#align uniformity_basis_edist uniformity_basis_edist
theorem mem_uniformity_edist {s : Set (α × α)} :
s ∈ 𝓤 α ↔ ∃ ε > 0, ∀ {a b : α}, edist a b < ε → (a, b) ∈ s :=
uniformity_basis_edist.mem_uniformity_iff
#align mem_uniformity_edist mem_uniformity_edist
protected theorem EMetric.mk_uniformity_basis {β : Type*} {p : β → Prop} {f : β → ℝ≥0∞}
(hf₀ : ∀ x, p x → 0 < f x) (hf : ∀ ε, 0 < ε → ∃ x, p x ∧ f x ≤ ε) :
(𝓤 α).HasBasis p fun x => { p : α × α | edist p.1 p.2 < f x } := by
refine ⟨fun s => uniformity_basis_edist.mem_iff.trans ?_⟩
constructor
· rintro ⟨ε, ε₀, hε⟩
rcases hf ε ε₀ with ⟨i, hi, H⟩
exact ⟨i, hi, fun x hx => hε <| lt_of_lt_of_le hx.out H⟩
· exact fun ⟨i, hi, H⟩ => ⟨f i, hf₀ i hi, H⟩
#align emetric.mk_uniformity_basis EMetric.mk_uniformity_basis
protected theorem EMetric.mk_uniformity_basis_le {β : Type*} {p : β → Prop} {f : β → ℝ≥0∞}
(hf₀ : ∀ x, p x → 0 < f x) (hf : ∀ ε, 0 < ε → ∃ x, p x ∧ f x ≤ ε) :
(𝓤 α).HasBasis p fun x => { p : α × α | edist p.1 p.2 ≤ f x } := by
refine ⟨fun s => uniformity_basis_edist.mem_iff.trans ?_⟩
constructor
· rintro ⟨ε, ε₀, hε⟩
rcases exists_between ε₀ with ⟨ε', hε'⟩
rcases hf ε' hε'.1 with ⟨i, hi, H⟩
exact ⟨i, hi, fun x hx => hε <| lt_of_le_of_lt (le_trans hx.out H) hε'.2⟩
· exact fun ⟨i, hi, H⟩ => ⟨f i, hf₀ i hi, fun x hx => H (le_of_lt hx.out)⟩
#align emetric.mk_uniformity_basis_le EMetric.mk_uniformity_basis_le
theorem uniformity_basis_edist_le :
(𝓤 α).HasBasis (fun ε : ℝ≥0∞ => 0 < ε) fun ε => { p : α × α | edist p.1 p.2 ≤ ε } :=
EMetric.mk_uniformity_basis_le (fun _ => id) fun ε ε₀ => ⟨ε, ε₀, le_refl ε⟩
#align uniformity_basis_edist_le uniformity_basis_edist_le
theorem uniformity_basis_edist' (ε' : ℝ≥0∞) (hε' : 0 < ε') :
(𝓤 α).HasBasis (fun ε : ℝ≥0∞ => ε ∈ Ioo 0 ε') fun ε => { p : α × α | edist p.1 p.2 < ε } :=
EMetric.mk_uniformity_basis (fun _ => And.left) fun ε ε₀ =>
let ⟨δ, hδ⟩ := exists_between hε'
⟨min ε δ, ⟨lt_min ε₀ hδ.1, lt_of_le_of_lt (min_le_right _ _) hδ.2⟩, min_le_left _ _⟩
#align uniformity_basis_edist' uniformity_basis_edist'
theorem uniformity_basis_edist_le' (ε' : ℝ≥0∞) (hε' : 0 < ε') :
(𝓤 α).HasBasis (fun ε : ℝ≥0∞ => ε ∈ Ioo 0 ε') fun ε => { p : α × α | edist p.1 p.2 ≤ ε } :=
EMetric.mk_uniformity_basis_le (fun _ => And.left) fun ε ε₀ =>
let ⟨δ, hδ⟩ := exists_between hε'
⟨min ε δ, ⟨lt_min ε₀ hδ.1, lt_of_le_of_lt (min_le_right _ _) hδ.2⟩, min_le_left _ _⟩
#align uniformity_basis_edist_le' uniformity_basis_edist_le'
theorem uniformity_basis_edist_nnreal :
(𝓤 α).HasBasis (fun ε : ℝ≥0 => 0 < ε) fun ε => { p : α × α | edist p.1 p.2 < ε } :=
EMetric.mk_uniformity_basis (fun _ => ENNReal.coe_pos.2) fun _ε ε₀ =>
let ⟨δ, hδ⟩ := ENNReal.lt_iff_exists_nnreal_btwn.1 ε₀
⟨δ, ENNReal.coe_pos.1 hδ.1, le_of_lt hδ.2⟩
#align uniformity_basis_edist_nnreal uniformity_basis_edist_nnreal
theorem uniformity_basis_edist_nnreal_le :
(𝓤 α).HasBasis (fun ε : ℝ≥0 => 0 < ε) fun ε => { p : α × α | edist p.1 p.2 ≤ ε } :=
EMetric.mk_uniformity_basis_le (fun _ => ENNReal.coe_pos.2) fun _ε ε₀ =>
let ⟨δ, hδ⟩ := ENNReal.lt_iff_exists_nnreal_btwn.1 ε₀
⟨δ, ENNReal.coe_pos.1 hδ.1, le_of_lt hδ.2⟩
#align uniformity_basis_edist_nnreal_le uniformity_basis_edist_nnreal_le
theorem uniformity_basis_edist_inv_nat :
(𝓤 α).HasBasis (fun _ => True) fun n : ℕ => { p : α × α | edist p.1 p.2 < (↑n)⁻¹ } :=
EMetric.mk_uniformity_basis (fun n _ ↦ ENNReal.inv_pos.2 <| ENNReal.natCast_ne_top n) fun _ε ε₀ ↦
let ⟨n, hn⟩ := ENNReal.exists_inv_nat_lt (ne_of_gt ε₀)
⟨n, trivial, le_of_lt hn⟩
#align uniformity_basis_edist_inv_nat uniformity_basis_edist_inv_nat
theorem uniformity_basis_edist_inv_two_pow :
(𝓤 α).HasBasis (fun _ => True) fun n : ℕ => { p : α × α | edist p.1 p.2 < 2⁻¹ ^ n } :=
EMetric.mk_uniformity_basis (fun _ _ => ENNReal.pow_pos (ENNReal.inv_pos.2 ENNReal.two_ne_top) _)
fun _ε ε₀ =>
let ⟨n, hn⟩ := ENNReal.exists_inv_two_pow_lt (ne_of_gt ε₀)
⟨n, trivial, le_of_lt hn⟩
#align uniformity_basis_edist_inv_two_pow uniformity_basis_edist_inv_two_pow
theorem edist_mem_uniformity {ε : ℝ≥0∞} (ε0 : 0 < ε) : { p : α × α | edist p.1 p.2 < ε } ∈ 𝓤 α :=
mem_uniformity_edist.2 ⟨ε, ε0, id⟩
#align edist_mem_uniformity edist_mem_uniformity
open EMetric
def PseudoEMetricSpace.replaceUniformity {α} [U : UniformSpace α] (m : PseudoEMetricSpace α)
(H : 𝓤[U] = 𝓤[PseudoEMetricSpace.toUniformSpace]) : PseudoEMetricSpace α where
edist := @edist _ m.toEDist
edist_self := edist_self
edist_comm := edist_comm
edist_triangle := edist_triangle
toUniformSpace := U
uniformity_edist := H.trans (@PseudoEMetricSpace.uniformity_edist α _)
#align pseudo_emetric_space.replace_uniformity PseudoEMetricSpace.replaceUniformity
def PseudoEMetricSpace.induced {α β} (f : α → β) (m : PseudoEMetricSpace β) :
PseudoEMetricSpace α where
edist x y := edist (f x) (f y)
edist_self _ := edist_self _
edist_comm _ _ := edist_comm _ _
edist_triangle _ _ _ := edist_triangle _ _ _
toUniformSpace := UniformSpace.comap f m.toUniformSpace
uniformity_edist := (uniformity_basis_edist.comap (Prod.map f f)).eq_biInf
#align pseudo_emetric_space.induced PseudoEMetricSpace.induced
instance {α : Type*} {p : α → Prop} [PseudoEMetricSpace α] : PseudoEMetricSpace (Subtype p) :=
PseudoEMetricSpace.induced Subtype.val ‹_›
theorem Subtype.edist_eq {p : α → Prop} (x y : Subtype p) : edist x y = edist (x : α) y := rfl
#align subtype.edist_eq Subtype.edist_eq
instance Prod.pseudoEMetricSpaceMax [PseudoEMetricSpace β] : PseudoEMetricSpace (α × β) where
edist x y := edist x.1 y.1 ⊔ edist x.2 y.2
edist_self x := by simp
edist_comm x y := by simp [edist_comm]
edist_triangle x y z :=
max_le (le_trans (edist_triangle _ _ _) (add_le_add (le_max_left _ _) (le_max_left _ _)))
(le_trans (edist_triangle _ _ _) (add_le_add (le_max_right _ _) (le_max_right _ _)))
uniformity_edist := uniformity_prod.trans <| by
simp [PseudoEMetricSpace.uniformity_edist, ← iInf_inf_eq, setOf_and]
toUniformSpace := inferInstance
#align prod.pseudo_emetric_space_max Prod.pseudoEMetricSpaceMax
theorem Prod.edist_eq [PseudoEMetricSpace β] (x y : α × β) :
edist x y = max (edist x.1 y.1) (edist x.2 y.2) :=
rfl
#align prod.edist_eq Prod.edist_eq
namespace EMetric
variable {x y z : α} {ε ε₁ ε₂ : ℝ≥0∞} {s t : Set α}
def ball (x : α) (ε : ℝ≥0∞) : Set α :=
{ y | edist y x < ε }
#align emetric.ball EMetric.ball
@[simp] theorem mem_ball : y ∈ ball x ε ↔ edist y x < ε := Iff.rfl
#align emetric.mem_ball EMetric.mem_ball
theorem mem_ball' : y ∈ ball x ε ↔ edist x y < ε := by rw [edist_comm, mem_ball]
#align emetric.mem_ball' EMetric.mem_ball'
def closedBall (x : α) (ε : ℝ≥0∞) :=
{ y | edist y x ≤ ε }
#align emetric.closed_ball EMetric.closedBall
@[simp] theorem mem_closedBall : y ∈ closedBall x ε ↔ edist y x ≤ ε := Iff.rfl
#align emetric.mem_closed_ball EMetric.mem_closedBall
theorem mem_closedBall' : y ∈ closedBall x ε ↔ edist x y ≤ ε := by rw [edist_comm, mem_closedBall]
#align emetric.mem_closed_ball' EMetric.mem_closedBall'
@[simp]
theorem closedBall_top (x : α) : closedBall x ∞ = univ :=
eq_univ_of_forall fun _ => mem_setOf.2 le_top
#align emetric.closed_ball_top EMetric.closedBall_top
theorem ball_subset_closedBall : ball x ε ⊆ closedBall x ε := fun _ h => le_of_lt h.out
#align emetric.ball_subset_closed_ball EMetric.ball_subset_closedBall
theorem pos_of_mem_ball (hy : y ∈ ball x ε) : 0 < ε :=
lt_of_le_of_lt (zero_le _) hy
#align emetric.pos_of_mem_ball EMetric.pos_of_mem_ball
theorem mem_ball_self (h : 0 < ε) : x ∈ ball x ε := by
rwa [mem_ball, edist_self]
#align emetric.mem_ball_self EMetric.mem_ball_self
theorem mem_closedBall_self : x ∈ closedBall x ε := by
rw [mem_closedBall, edist_self]; apply zero_le
#align emetric.mem_closed_ball_self EMetric.mem_closedBall_self
theorem mem_ball_comm : x ∈ ball y ε ↔ y ∈ ball x ε := by rw [mem_ball', mem_ball]
#align emetric.mem_ball_comm EMetric.mem_ball_comm
theorem mem_closedBall_comm : x ∈ closedBall y ε ↔ y ∈ closedBall x ε := by
rw [mem_closedBall', mem_closedBall]
#align emetric.mem_closed_ball_comm EMetric.mem_closedBall_comm
@[gcongr]
theorem ball_subset_ball (h : ε₁ ≤ ε₂) : ball x ε₁ ⊆ ball x ε₂ := fun _y (yx : _ < ε₁) =>
lt_of_lt_of_le yx h
#align emetric.ball_subset_ball EMetric.ball_subset_ball
@[gcongr]
theorem closedBall_subset_closedBall (h : ε₁ ≤ ε₂) : closedBall x ε₁ ⊆ closedBall x ε₂ :=
fun _y (yx : _ ≤ ε₁) => le_trans yx h
#align emetric.closed_ball_subset_closed_ball EMetric.closedBall_subset_closedBall
theorem ball_disjoint (h : ε₁ + ε₂ ≤ edist x y) : Disjoint (ball x ε₁) (ball y ε₂) :=
Set.disjoint_left.mpr fun z h₁ h₂ =>
(edist_triangle_left x y z).not_lt <| (ENNReal.add_lt_add h₁ h₂).trans_le h
#align emetric.ball_disjoint EMetric.ball_disjoint
theorem ball_subset (h : edist x y + ε₁ ≤ ε₂) (h' : edist x y ≠ ∞) : ball x ε₁ ⊆ ball y ε₂ :=
fun z zx =>
calc
edist z y ≤ edist z x + edist x y := edist_triangle _ _ _
_ = edist x y + edist z x := add_comm _ _
_ < edist x y + ε₁ := ENNReal.add_lt_add_left h' zx
_ ≤ ε₂ := h
#align emetric.ball_subset EMetric.ball_subset
theorem exists_ball_subset_ball (h : y ∈ ball x ε) : ∃ ε' > 0, ball y ε' ⊆ ball x ε := by
have : 0 < ε - edist y x := by simpa using h
refine ⟨ε - edist y x, this, ball_subset ?_ (ne_top_of_lt h)⟩
exact (add_tsub_cancel_of_le (mem_ball.mp h).le).le
#align emetric.exists_ball_subset_ball EMetric.exists_ball_subset_ball
theorem ball_eq_empty_iff : ball x ε = ∅ ↔ ε = 0 :=
eq_empty_iff_forall_not_mem.trans
⟨fun h => le_bot_iff.1 (le_of_not_gt fun ε0 => h _ (mem_ball_self ε0)), fun ε0 _ h =>
not_lt_of_le (le_of_eq ε0) (pos_of_mem_ball h)⟩
#align emetric.ball_eq_empty_iff EMetric.ball_eq_empty_iff
theorem ordConnected_setOf_closedBall_subset (x : α) (s : Set α) :
OrdConnected { r | closedBall x r ⊆ s } :=
⟨fun _ _ _ h₁ _ h₂ => (closedBall_subset_closedBall h₂.2).trans h₁⟩
#align emetric.ord_connected_set_of_closed_ball_subset EMetric.ordConnected_setOf_closedBall_subset
theorem ordConnected_setOf_ball_subset (x : α) (s : Set α) : OrdConnected { r | ball x r ⊆ s } :=
⟨fun _ _ _ h₁ _ h₂ => (ball_subset_ball h₂.2).trans h₁⟩
#align emetric.ord_connected_set_of_ball_subset EMetric.ordConnected_setOf_ball_subset
def edistLtTopSetoid : Setoid α where
r x y := edist x y < ⊤
iseqv :=
⟨fun x => by rw [edist_self]; exact ENNReal.coe_lt_top,
fun h => by rwa [edist_comm], fun hxy hyz =>
lt_of_le_of_lt (edist_triangle _ _ _) (ENNReal.add_lt_top.2 ⟨hxy, hyz⟩)⟩
#align emetric.edist_lt_top_setoid EMetric.edistLtTopSetoid
@[simp]
theorem ball_zero : ball x 0 = ∅ := by rw [EMetric.ball_eq_empty_iff]
#align emetric.ball_zero EMetric.ball_zero
theorem nhds_basis_eball : (𝓝 x).HasBasis (fun ε : ℝ≥0∞ => 0 < ε) (ball x) :=
nhds_basis_uniformity uniformity_basis_edist
#align emetric.nhds_basis_eball EMetric.nhds_basis_eball
theorem nhdsWithin_basis_eball : (𝓝[s] x).HasBasis (fun ε : ℝ≥0∞ => 0 < ε) fun ε => ball x ε ∩ s :=
nhdsWithin_hasBasis nhds_basis_eball s
#align emetric.nhds_within_basis_eball EMetric.nhdsWithin_basis_eball
theorem nhds_basis_closed_eball : (𝓝 x).HasBasis (fun ε : ℝ≥0∞ => 0 < ε) (closedBall x) :=
nhds_basis_uniformity uniformity_basis_edist_le
#align emetric.nhds_basis_closed_eball EMetric.nhds_basis_closed_eball
theorem nhdsWithin_basis_closed_eball :
(𝓝[s] x).HasBasis (fun ε : ℝ≥0∞ => 0 < ε) fun ε => closedBall x ε ∩ s :=
nhdsWithin_hasBasis nhds_basis_closed_eball s
#align emetric.nhds_within_basis_closed_eball EMetric.nhdsWithin_basis_closed_eball
theorem nhds_eq : 𝓝 x = ⨅ ε > 0, 𝓟 (ball x ε) :=
nhds_basis_eball.eq_biInf
#align emetric.nhds_eq EMetric.nhds_eq
theorem mem_nhds_iff : s ∈ 𝓝 x ↔ ∃ ε > 0, ball x ε ⊆ s :=
nhds_basis_eball.mem_iff
#align emetric.mem_nhds_iff EMetric.mem_nhds_iff
theorem mem_nhdsWithin_iff : s ∈ 𝓝[t] x ↔ ∃ ε > 0, ball x ε ∩ t ⊆ s :=
nhdsWithin_basis_eball.mem_iff
#align emetric.mem_nhds_within_iff EMetric.mem_nhdsWithin_iff
section
variable [PseudoEMetricSpace β] {f : α → β}
theorem tendsto_nhdsWithin_nhdsWithin {t : Set β} {a b} :
Tendsto f (𝓝[s] a) (𝓝[t] b) ↔
∀ ε > 0, ∃ δ > 0, ∀ ⦃x⦄, x ∈ s → edist x a < δ → f x ∈ t ∧ edist (f x) b < ε :=
(nhdsWithin_basis_eball.tendsto_iff nhdsWithin_basis_eball).trans <|
forall₂_congr fun ε _ => exists_congr fun δ => and_congr_right fun _ =>
forall_congr' fun x => by simp; tauto
#align emetric.tendsto_nhds_within_nhds_within EMetric.tendsto_nhdsWithin_nhdsWithin
theorem tendsto_nhdsWithin_nhds {a b} :
Tendsto f (𝓝[s] a) (𝓝 b) ↔
∀ ε > 0, ∃ δ > 0, ∀ {x : α}, x ∈ s → edist x a < δ → edist (f x) b < ε := by
rw [← nhdsWithin_univ b, tendsto_nhdsWithin_nhdsWithin]
simp only [mem_univ, true_and_iff]
#align emetric.tendsto_nhds_within_nhds EMetric.tendsto_nhdsWithin_nhds
theorem tendsto_nhds_nhds {a b} :
Tendsto f (𝓝 a) (𝓝 b) ↔ ∀ ε > 0, ∃ δ > 0, ∀ ⦃x⦄, edist x a < δ → edist (f x) b < ε :=
nhds_basis_eball.tendsto_iff nhds_basis_eball
#align emetric.tendsto_nhds_nhds EMetric.tendsto_nhds_nhds
end
theorem isOpen_iff : IsOpen s ↔ ∀ x ∈ s, ∃ ε > 0, ball x ε ⊆ s := by
simp [isOpen_iff_nhds, mem_nhds_iff]
#align emetric.is_open_iff EMetric.isOpen_iff
theorem isOpen_ball : IsOpen (ball x ε) :=
isOpen_iff.2 fun _ => exists_ball_subset_ball
#align emetric.is_open_ball EMetric.isOpen_ball
theorem isClosed_ball_top : IsClosed (ball x ⊤) :=
isOpen_compl_iff.1 <| isOpen_iff.2 fun _y hy =>
⟨⊤, ENNReal.coe_lt_top, fun _z hzy hzx =>
hy (edistLtTopSetoid.trans (edistLtTopSetoid.symm hzy) hzx)⟩
#align emetric.is_closed_ball_top EMetric.isClosed_ball_top
theorem ball_mem_nhds (x : α) {ε : ℝ≥0∞} (ε0 : 0 < ε) : ball x ε ∈ 𝓝 x :=
isOpen_ball.mem_nhds (mem_ball_self ε0)
#align emetric.ball_mem_nhds EMetric.ball_mem_nhds
theorem closedBall_mem_nhds (x : α) {ε : ℝ≥0∞} (ε0 : 0 < ε) : closedBall x ε ∈ 𝓝 x :=
mem_of_superset (ball_mem_nhds x ε0) ball_subset_closedBall
#align emetric.closed_ball_mem_nhds EMetric.closedBall_mem_nhds
theorem ball_prod_same [PseudoEMetricSpace β] (x : α) (y : β) (r : ℝ≥0∞) :
ball x r ×ˢ ball y r = ball (x, y) r :=
ext fun z => by simp [Prod.edist_eq]
#align emetric.ball_prod_same EMetric.ball_prod_same
theorem closedBall_prod_same [PseudoEMetricSpace β] (x : α) (y : β) (r : ℝ≥0∞) :
closedBall x r ×ˢ closedBall y r = closedBall (x, y) r :=
ext fun z => by simp [Prod.edist_eq]
#align emetric.closed_ball_prod_same EMetric.closedBall_prod_same
theorem mem_closure_iff : x ∈ closure s ↔ ∀ ε > 0, ∃ y ∈ s, edist x y < ε :=
(mem_closure_iff_nhds_basis nhds_basis_eball).trans <| by simp only [mem_ball, edist_comm x]
#align emetric.mem_closure_iff EMetric.mem_closure_iff
theorem tendsto_nhds {f : Filter β} {u : β → α} {a : α} :
Tendsto u f (𝓝 a) ↔ ∀ ε > 0, ∀ᶠ x in f, edist (u x) a < ε :=
nhds_basis_eball.tendsto_right_iff
#align emetric.tendsto_nhds EMetric.tendsto_nhds
theorem tendsto_atTop [Nonempty β] [SemilatticeSup β] {u : β → α} {a : α} :
Tendsto u atTop (𝓝 a) ↔ ∀ ε > 0, ∃ N, ∀ n ≥ N, edist (u n) a < ε :=
(atTop_basis.tendsto_iff nhds_basis_eball).trans <| by
simp only [exists_prop, true_and_iff, mem_Ici, mem_ball]
#align emetric.tendsto_at_top EMetric.tendsto_atTop
theorem inseparable_iff : Inseparable x y ↔ edist x y = 0 := by
simp [inseparable_iff_mem_closure, mem_closure_iff, edist_comm, forall_lt_iff_le']
#align emetric.inseparable_iff EMetric.inseparable_iff
-- see Note [nolint_ge]
theorem cauchySeq_iff [Nonempty β] [SemilatticeSup β] {u : β → α} :
CauchySeq u ↔ ∀ ε > 0, ∃ N, ∀ m, N ≤ m → ∀ n, N ≤ n → edist (u m) (u n) < ε :=
uniformity_basis_edist.cauchySeq_iff
#align emetric.cauchy_seq_iff EMetric.cauchySeq_iff
theorem cauchySeq_iff' [Nonempty β] [SemilatticeSup β] {u : β → α} :
CauchySeq u ↔ ∀ ε > (0 : ℝ≥0∞), ∃ N, ∀ n ≥ N, edist (u n) (u N) < ε :=
uniformity_basis_edist.cauchySeq_iff'
#align emetric.cauchy_seq_iff' EMetric.cauchySeq_iff'
theorem cauchySeq_iff_NNReal [Nonempty β] [SemilatticeSup β] {u : β → α} :
CauchySeq u ↔ ∀ ε : ℝ≥0, 0 < ε → ∃ N, ∀ n, N ≤ n → edist (u n) (u N) < ε :=
uniformity_basis_edist_nnreal.cauchySeq_iff'
#align emetric.cauchy_seq_iff_nnreal EMetric.cauchySeq_iff_NNReal
theorem totallyBounded_iff {s : Set α} :
TotallyBounded s ↔ ∀ ε > 0, ∃ t : Set α, t.Finite ∧ s ⊆ ⋃ y ∈ t, ball y ε :=
⟨fun H _ε ε0 => H _ (edist_mem_uniformity ε0), fun H _r ru =>
let ⟨ε, ε0, hε⟩ := mem_uniformity_edist.1 ru
let ⟨t, ft, h⟩ := H ε ε0
⟨t, ft, h.trans <| iUnion₂_mono fun _ _ _ => hε⟩⟩
#align emetric.totally_bounded_iff EMetric.totallyBounded_iff
theorem totallyBounded_iff' {s : Set α} :
TotallyBounded s ↔ ∀ ε > 0, ∃ t, t ⊆ s ∧ Set.Finite t ∧ s ⊆ ⋃ y ∈ t, ball y ε :=
⟨fun H _ε ε0 => (totallyBounded_iff_subset.1 H) _ (edist_mem_uniformity ε0), fun H _r ru =>
let ⟨ε, ε0, hε⟩ := mem_uniformity_edist.1 ru
let ⟨t, _, ft, h⟩ := H ε ε0
⟨t, ft, h.trans <| iUnion₂_mono fun _ _ _ => hε⟩⟩
#align emetric.totally_bounded_iff' EMetric.totallyBounded_iff'
section Diam
noncomputable def diam (s : Set α) :=
⨆ (x ∈ s) (y ∈ s), edist x y
#align emetric.diam EMetric.diam
theorem diam_eq_sSup (s : Set α) : diam s = sSup (image2 edist s s) := sSup_image2.symm
theorem diam_le_iff {d : ℝ≥0∞} : diam s ≤ d ↔ ∀ x ∈ s, ∀ y ∈ s, edist x y ≤ d := by
simp only [diam, iSup_le_iff]
#align emetric.diam_le_iff EMetric.diam_le_iff
theorem diam_image_le_iff {d : ℝ≥0∞} {f : β → α} {s : Set β} :
diam (f '' s) ≤ d ↔ ∀ x ∈ s, ∀ y ∈ s, edist (f x) (f y) ≤ d := by
simp only [diam_le_iff, forall_mem_image]
#align emetric.diam_image_le_iff EMetric.diam_image_le_iff
theorem edist_le_of_diam_le {d} (hx : x ∈ s) (hy : y ∈ s) (hd : diam s ≤ d) : edist x y ≤ d :=
diam_le_iff.1 hd x hx y hy
#align emetric.edist_le_of_diam_le EMetric.edist_le_of_diam_le
theorem edist_le_diam_of_mem (hx : x ∈ s) (hy : y ∈ s) : edist x y ≤ diam s :=
edist_le_of_diam_le hx hy le_rfl
#align emetric.edist_le_diam_of_mem EMetric.edist_le_diam_of_mem
theorem diam_le {d : ℝ≥0∞} (h : ∀ x ∈ s, ∀ y ∈ s, edist x y ≤ d) : diam s ≤ d :=
diam_le_iff.2 h
#align emetric.diam_le EMetric.diam_le
theorem diam_subsingleton (hs : s.Subsingleton) : diam s = 0 :=
nonpos_iff_eq_zero.1 <| diam_le fun _x hx y hy => (hs hx hy).symm ▸ edist_self y ▸ le_rfl
#align emetric.diam_subsingleton EMetric.diam_subsingleton
@[simp]
theorem diam_empty : diam (∅ : Set α) = 0 :=
diam_subsingleton subsingleton_empty
#align emetric.diam_empty EMetric.diam_empty
@[simp]
theorem diam_singleton : diam ({x} : Set α) = 0 :=
diam_subsingleton subsingleton_singleton
#align emetric.diam_singleton EMetric.diam_singleton
@[to_additive (attr := simp)]
theorem diam_one [One α] : diam (1 : Set α) = 0 :=
diam_singleton
#align emetric.diam_one EMetric.diam_one
#align emetric.diam_zero EMetric.diam_zero
theorem diam_iUnion_mem_option {ι : Type*} (o : Option ι) (s : ι → Set α) :
diam (⋃ i ∈ o, s i) = ⨆ i ∈ o, diam (s i) := by cases o <;> simp
#align emetric.diam_Union_mem_option EMetric.diam_iUnion_mem_option
theorem diam_insert : diam (insert x s) = max (⨆ y ∈ s, edist x y) (diam s) :=
eq_of_forall_ge_iff fun d => by
simp only [diam_le_iff, forall_mem_insert, edist_self, edist_comm x, max_le_iff, iSup_le_iff,
zero_le, true_and_iff, forall_and, and_self_iff, ← and_assoc]
#align emetric.diam_insert EMetric.diam_insert
theorem diam_pair : diam ({x, y} : Set α) = edist x y := by
simp only [iSup_singleton, diam_insert, diam_singleton, ENNReal.max_zero_right]
#align emetric.diam_pair EMetric.diam_pair
theorem diam_triple : diam ({x, y, z} : Set α) = max (max (edist x y) (edist x z)) (edist y z) := by
simp only [diam_insert, iSup_insert, iSup_singleton, diam_singleton, ENNReal.max_zero_right,
ENNReal.sup_eq_max]
#align emetric.diam_triple EMetric.diam_triple
@[gcongr]
theorem diam_mono {s t : Set α} (h : s ⊆ t) : diam s ≤ diam t :=
diam_le fun _x hx _y hy => edist_le_diam_of_mem (h hx) (h hy)
#align emetric.diam_mono EMetric.diam_mono
| Mathlib/Topology/EMetricSpace/Basic.lean | 977 | 995 | theorem diam_union {t : Set α} (xs : x ∈ s) (yt : y ∈ t) :
diam (s ∪ t) ≤ diam s + edist x y + diam t := by |
have A : ∀ a ∈ s, ∀ b ∈ t, edist a b ≤ diam s + edist x y + diam t := fun a ha b hb =>
calc
edist a b ≤ edist a x + edist x y + edist y b := edist_triangle4 _ _ _ _
_ ≤ diam s + edist x y + diam t :=
add_le_add (add_le_add (edist_le_diam_of_mem ha xs) le_rfl) (edist_le_diam_of_mem yt hb)
refine diam_le fun a ha b hb => ?_
cases' (mem_union _ _ _).1 ha with h'a h'a <;> cases' (mem_union _ _ _).1 hb with h'b h'b
· calc
edist a b ≤ diam s := edist_le_diam_of_mem h'a h'b
_ ≤ diam s + (edist x y + diam t) := le_self_add
_ = diam s + edist x y + diam t := (add_assoc _ _ _).symm
· exact A a h'a b h'b
· have Z := A b h'b a h'a
rwa [edist_comm] at Z
· calc
edist a b ≤ diam t := edist_le_diam_of_mem h'a h'b
_ ≤ diam s + edist x y + diam t := le_add_self
|
import Mathlib.AlgebraicGeometry.Morphisms.Basic
import Mathlib.Topology.Spectral.Hom
import Mathlib.AlgebraicGeometry.Limits
#align_import algebraic_geometry.morphisms.quasi_compact from "leanprover-community/mathlib"@"5dc6092d09e5e489106865241986f7f2ad28d4c8"
noncomputable section
open CategoryTheory CategoryTheory.Limits Opposite TopologicalSpace
universe u
open scoped AlgebraicGeometry
namespace AlgebraicGeometry
variable {X Y : Scheme.{u}} (f : X ⟶ Y)
@[mk_iff]
class QuasiCompact (f : X ⟶ Y) : Prop where
isCompact_preimage : ∀ U : Set Y.carrier, IsOpen U → IsCompact U → IsCompact (f.1.base ⁻¹' U)
#align algebraic_geometry.quasi_compact AlgebraicGeometry.QuasiCompact
theorem quasiCompact_iff_spectral : QuasiCompact f ↔ IsSpectralMap f.1.base :=
⟨fun ⟨h⟩ => ⟨by continuity, h⟩, fun h => ⟨h.2⟩⟩
#align algebraic_geometry.quasi_compact_iff_spectral AlgebraicGeometry.quasiCompact_iff_spectral
def QuasiCompact.affineProperty : AffineTargetMorphismProperty := fun X _ _ _ =>
CompactSpace X.carrier
#align algebraic_geometry.quasi_compact.affine_property AlgebraicGeometry.QuasiCompact.affineProperty
instance (priority := 900) quasiCompactOfIsIso {X Y : Scheme} (f : X ⟶ Y) [IsIso f] :
QuasiCompact f := by
constructor
intro U _ hU'
convert hU'.image (inv f.1.base).continuous_toFun using 1
rw [Set.image_eq_preimage_of_inverse]
· delta Function.LeftInverse
exact IsIso.inv_hom_id_apply f.1.base
· exact IsIso.hom_inv_id_apply f.1.base
#align algebraic_geometry.quasi_compact_of_is_iso AlgebraicGeometry.quasiCompactOfIsIso
instance quasiCompactComp {X Y Z : Scheme} (f : X ⟶ Y) (g : Y ⟶ Z) [QuasiCompact f]
[QuasiCompact g] : QuasiCompact (f ≫ g) := by
constructor
intro U hU hU'
rw [Scheme.comp_val_base, TopCat.coe_comp, Set.preimage_comp]
apply QuasiCompact.isCompact_preimage
· exact Continuous.isOpen_preimage (by
-- Porting note: `continuity` failed
-- see https://github.com/leanprover-community/mathlib4/issues/5030
exact Scheme.Hom.continuous g) _ hU
apply QuasiCompact.isCompact_preimage <;> assumption
#align algebraic_geometry.quasi_compact_comp AlgebraicGeometry.quasiCompactComp
| Mathlib/AlgebraicGeometry/Morphisms/QuasiCompact.lean | 80 | 86 | theorem isCompact_open_iff_eq_finset_affine_union {X : Scheme} (U : Set X.carrier) :
IsCompact U ∧ IsOpen U ↔
∃ s : Set X.affineOpens, s.Finite ∧ U = ⋃ (i : X.affineOpens) (_ : i ∈ s), i := by |
apply Opens.IsBasis.isCompact_open_iff_eq_finite_iUnion
(fun (U : X.affineOpens) => (U : Opens X.carrier))
· rw [Subtype.range_coe]; exact isBasis_affine_open X
· exact fun i => i.2.isCompact
|
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]
| Mathlib/Analysis/Normed/Group/AddTorsor.lean | 104 | 105 | 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]
|
import Mathlib.Data.Real.Irrational
import Mathlib.Data.Nat.Fib.Basic
import Mathlib.Data.Fin.VecNotation
import Mathlib.Algebra.LinearRecurrence
import Mathlib.Tactic.NormNum.NatFib
import Mathlib.Tactic.NormNum.Prime
#align_import data.real.golden_ratio from "leanprover-community/mathlib"@"2196ab363eb097c008d4497125e0dde23fb36db2"
noncomputable section
open Polynomial
abbrev goldenRatio : ℝ := (1 + √5) / 2
#align golden_ratio goldenRatio
abbrev goldenConj : ℝ := (1 - √5) / 2
#align golden_conj goldenConj
@[inherit_doc goldenRatio] scoped[goldenRatio] notation "φ" => goldenRatio
@[inherit_doc goldenConj] scoped[goldenRatio] notation "ψ" => goldenConj
open Real goldenRatio
theorem inv_gold : φ⁻¹ = -ψ := by
have : 1 + √5 ≠ 0 := ne_of_gt (add_pos (by norm_num) <| Real.sqrt_pos.mpr (by norm_num))
field_simp [sub_mul, mul_add]
norm_num
#align inv_gold inv_gold
theorem inv_goldConj : ψ⁻¹ = -φ := by
rw [inv_eq_iff_eq_inv, ← neg_inv, ← neg_eq_iff_eq_neg]
exact inv_gold.symm
#align inv_gold_conj inv_goldConj
@[simp]
theorem gold_mul_goldConj : φ * ψ = -1 := by
field_simp
rw [← sq_sub_sq]
norm_num
#align gold_mul_gold_conj gold_mul_goldConj
@[simp]
theorem goldConj_mul_gold : ψ * φ = -1 := by
rw [mul_comm]
exact gold_mul_goldConj
#align gold_conj_mul_gold goldConj_mul_gold
@[simp]
theorem gold_add_goldConj : φ + ψ = 1 := by
rw [goldenRatio, goldenConj]
ring
#align gold_add_gold_conj gold_add_goldConj
| Mathlib/Data/Real/GoldenRatio.lean | 75 | 76 | theorem one_sub_goldConj : 1 - φ = ψ := by |
linarith [gold_add_goldConj]
|
import Mathlib.RingTheory.Polynomial.Cyclotomic.Roots
import Mathlib.Tactic.ByContra
import Mathlib.Topology.Algebra.Polynomial
import Mathlib.NumberTheory.Padics.PadicVal
import Mathlib.Analysis.Complex.Arg
#align_import ring_theory.polynomial.cyclotomic.eval from "leanprover-community/mathlib"@"5bfbcca0a7ffdd21cf1682e59106d6c942434a32"
namespace Polynomial
open Finset Nat
@[simp]
theorem eval_one_cyclotomic_prime {R : Type*} [CommRing R] {p : ℕ} [hn : Fact p.Prime] :
eval 1 (cyclotomic p R) = p := by
simp only [cyclotomic_prime, eval_X, one_pow, Finset.sum_const, eval_pow, eval_finset_sum,
Finset.card_range, smul_one_eq_cast]
#align polynomial.eval_one_cyclotomic_prime Polynomial.eval_one_cyclotomic_prime
-- @[simp] -- Porting note (#10618): simp already proves this
theorem eval₂_one_cyclotomic_prime {R S : Type*} [CommRing R] [Semiring S] (f : R →+* S) {p : ℕ}
[Fact p.Prime] : eval₂ f 1 (cyclotomic p R) = p := by simp
#align polynomial.eval₂_one_cyclotomic_prime Polynomial.eval₂_one_cyclotomic_prime
@[simp]
theorem eval_one_cyclotomic_prime_pow {R : Type*} [CommRing R] {p : ℕ} (k : ℕ)
[hn : Fact p.Prime] : eval 1 (cyclotomic (p ^ (k + 1)) R) = p := by
simp only [cyclotomic_prime_pow_eq_geom_sum hn.out, eval_X, one_pow, Finset.sum_const, eval_pow,
eval_finset_sum, Finset.card_range, smul_one_eq_cast]
#align polynomial.eval_one_cyclotomic_prime_pow Polynomial.eval_one_cyclotomic_prime_pow
-- @[simp] -- Porting note (#10618): simp already proves this
theorem eval₂_one_cyclotomic_prime_pow {R S : Type*} [CommRing R] [Semiring S] (f : R →+* S)
{p : ℕ} (k : ℕ) [Fact p.Prime] : eval₂ f 1 (cyclotomic (p ^ (k + 1)) R) = p := by simp
#align polynomial.eval₂_one_cyclotomic_prime_pow Polynomial.eval₂_one_cyclotomic_prime_pow
private theorem cyclotomic_neg_one_pos {n : ℕ} (hn : 2 < n) {R} [LinearOrderedCommRing R] :
0 < eval (-1 : R) (cyclotomic n R) := by
haveI := NeZero.of_gt hn
rw [← map_cyclotomic_int, ← Int.cast_one, ← Int.cast_neg, eval_intCast_map, Int.coe_castRingHom,
Int.cast_pos]
suffices 0 < eval (↑(-1 : ℤ)) (cyclotomic n ℝ) by
rw [← map_cyclotomic_int n ℝ, eval_intCast_map, Int.coe_castRingHom] at this
simpa only [Int.cast_pos] using this
simp only [Int.cast_one, Int.cast_neg]
have h0 := cyclotomic_coeff_zero ℝ hn.le
rw [coeff_zero_eq_eval_zero] at h0
by_contra! hx
have := intermediate_value_univ (-1) 0 (cyclotomic n ℝ).continuous
obtain ⟨y, hy : IsRoot _ y⟩ := this (show (0 : ℝ) ∈ Set.Icc _ _ by simpa [h0] using hx)
rw [@isRoot_cyclotomic_iff] at hy
rw [hy.eq_orderOf] at hn
exact hn.not_le LinearOrderedRing.orderOf_le_two
theorem cyclotomic_pos {n : ℕ} (hn : 2 < n) {R} [LinearOrderedCommRing R] (x : R) :
0 < eval x (cyclotomic n R) := by
induction' n using Nat.strong_induction_on with n ih
have hn' : 0 < n := pos_of_gt hn
have hn'' : 1 < n := one_lt_two.trans hn
have := prod_cyclotomic_eq_geom_sum hn' R
apply_fun eval x at this
rw [← cons_self_properDivisors hn'.ne', Finset.erase_cons_of_ne _ hn''.ne', Finset.prod_cons,
eval_mul, eval_geom_sum] at this
rcases lt_trichotomy 0 (∑ i ∈ Finset.range n, x ^ i) with (h | h | h)
· apply pos_of_mul_pos_left
· rwa [this]
rw [eval_prod]
refine Finset.prod_nonneg fun i hi => ?_
simp only [Finset.mem_erase, mem_properDivisors] at hi
rw [geom_sum_pos_iff hn'.ne'] at h
cases' h with hk hx
· refine (ih _ hi.2.2 (Nat.two_lt_of_ne ?_ hi.1 ?_)).le <;> rintro rfl
· exact hn'.ne' (zero_dvd_iff.mp hi.2.1)
· exact even_iff_not_odd.mp (even_iff_two_dvd.mpr hi.2.1) hk
· rcases eq_or_ne i 2 with (rfl | hk)
· simpa only [eval_X, eval_one, cyclotomic_two, eval_add] using hx.le
refine (ih _ hi.2.2 (Nat.two_lt_of_ne ?_ hi.1 hk)).le
rintro rfl
exact hn'.ne' <| zero_dvd_iff.mp hi.2.1
· rw [eq_comm, geom_sum_eq_zero_iff_neg_one hn'.ne'] at h
exact h.1.symm ▸ cyclotomic_neg_one_pos hn
· apply pos_of_mul_neg_left
· rwa [this]
rw [geom_sum_neg_iff hn'.ne'] at h
have h2 : 2 ∈ n.properDivisors.erase 1 := by
rw [Finset.mem_erase, mem_properDivisors]
exact ⟨by decide, even_iff_two_dvd.mp h.1, hn⟩
rw [eval_prod, ← Finset.prod_erase_mul _ _ h2]
apply mul_nonpos_of_nonneg_of_nonpos
· refine Finset.prod_nonneg fun i hi => le_of_lt ?_
simp only [Finset.mem_erase, mem_properDivisors] at hi
refine ih _ hi.2.2.2 (Nat.two_lt_of_ne ?_ hi.2.1 hi.1)
rintro rfl
rw [zero_dvd_iff] at hi
exact hn'.ne' hi.2.2.1
· simpa only [eval_X, eval_one, cyclotomic_two, eval_add] using h.right.le
#align polynomial.cyclotomic_pos Polynomial.cyclotomic_pos
| Mathlib/RingTheory/Polynomial/Cyclotomic/Eval.lean | 114 | 122 | theorem cyclotomic_pos_and_nonneg (n : ℕ) {R} [LinearOrderedCommRing R] (x : R) :
(1 < x → 0 < eval x (cyclotomic n R)) ∧ (1 ≤ x → 0 ≤ eval x (cyclotomic n R)) := by |
rcases n with (_ | _ | _ | n)
· simp only [cyclotomic_zero, eval_one, zero_lt_one, implies_true, zero_le_one, and_self]
· simp only [zero_add, cyclotomic_one, eval_sub, eval_X, eval_one, sub_pos, imp_self, sub_nonneg,
and_self]
· simp only [zero_add, reduceAdd, cyclotomic_two, eval_add, eval_X, eval_one]
constructor <;> intro <;> linarith
· constructor <;> intro <;> [skip; apply le_of_lt] <;> apply cyclotomic_pos (by omega)
|
import Mathlib.Algebra.BigOperators.GroupWithZero.Finset
import Mathlib.Algebra.Group.FiniteSupport
import Mathlib.Algebra.Module.Defs
import Mathlib.Algebra.Order.BigOperators.Group.Finset
import Mathlib.Data.Set.Subsingleton
#align_import algebra.big_operators.finprod from "leanprover-community/mathlib"@"d6fad0e5bf2d6f48da9175d25c3dc5706b3834ce"
open Function Set
-- Porting note: Used to be section Sort
section sort
variable {G M N : Type*} {α β ι : Sort*} [CommMonoid M] [CommMonoid N]
section
open scoped Classical
noncomputable irreducible_def finsum (lemma := finsum_def') [AddCommMonoid M] (f : α → M) : M :=
if h : (support (f ∘ PLift.down)).Finite then ∑ i ∈ h.toFinset, f i.down else 0
#align finsum finsum
@[to_additive existing]
noncomputable irreducible_def finprod (lemma := finprod_def') (f : α → M) : M :=
if h : (mulSupport (f ∘ PLift.down)).Finite then ∏ i ∈ h.toFinset, f i.down else 1
#align finprod finprod
attribute [to_additive existing] finprod_def'
end
open Batteries.ExtendedBinder
notation3"∑ᶠ "(...)", "r:67:(scoped f => finsum f) => r
notation3"∏ᶠ "(...)", "r:67:(scoped f => finprod f) => r
-- Porting note: The following ports the lean3 notation for this file, but is currently very fickle.
-- syntax (name := bigfinsum) "∑ᶠ" extBinders ", " term:67 : term
-- macro_rules (kind := bigfinsum)
-- | `(∑ᶠ $x:ident, $p) => `(finsum (fun $x:ident ↦ $p))
-- | `(∑ᶠ $x:ident : $t, $p) => `(finsum (fun $x:ident : $t ↦ $p))
-- | `(∑ᶠ $x:ident $b:binderPred, $p) =>
-- `(finsum fun $x => (finsum (α := satisfies_binder_pred% $x $b) (fun _ => $p)))
-- | `(∑ᶠ ($x:ident) ($h:ident : $t), $p) =>
-- `(finsum fun ($x) => finsum (α := $t) (fun $h => $p))
-- | `(∑ᶠ ($x:ident : $_) ($h:ident : $t), $p) =>
-- `(finsum fun ($x) => finsum (α := $t) (fun $h => $p))
-- | `(∑ᶠ ($x:ident) ($y:ident), $p) =>
-- `(finsum fun $x => (finsum fun $y => $p))
-- | `(∑ᶠ ($x:ident) ($y:ident) ($h:ident : $t), $p) =>
-- `(finsum fun $x => (finsum fun $y => (finsum (α := $t) fun $h => $p)))
-- | `(∑ᶠ ($x:ident) ($y:ident) ($z:ident), $p) =>
-- `(finsum fun $x => (finsum fun $y => (finsum fun $z => $p)))
-- | `(∑ᶠ ($x:ident) ($y:ident) ($z:ident) ($h:ident : $t), $p) =>
-- `(finsum fun $x => (finsum fun $y => (finsum fun $z => (finsum (α := $t) fun $h => $p))))
--
--
-- syntax (name := bigfinprod) "∏ᶠ " extBinders ", " term:67 : term
-- macro_rules (kind := bigfinprod)
-- | `(∏ᶠ $x:ident, $p) => `(finprod (fun $x:ident ↦ $p))
-- | `(∏ᶠ $x:ident : $t, $p) => `(finprod (fun $x:ident : $t ↦ $p))
-- | `(∏ᶠ $x:ident $b:binderPred, $p) =>
-- `(finprod fun $x => (finprod (α := satisfies_binder_pred% $x $b) (fun _ => $p)))
-- | `(∏ᶠ ($x:ident) ($h:ident : $t), $p) =>
-- `(finprod fun ($x) => finprod (α := $t) (fun $h => $p))
-- | `(∏ᶠ ($x:ident : $_) ($h:ident : $t), $p) =>
-- `(finprod fun ($x) => finprod (α := $t) (fun $h => $p))
-- | `(∏ᶠ ($x:ident) ($y:ident), $p) =>
-- `(finprod fun $x => (finprod fun $y => $p))
-- | `(∏ᶠ ($x:ident) ($y:ident) ($h:ident : $t), $p) =>
-- `(finprod fun $x => (finprod fun $y => (finprod (α := $t) fun $h => $p)))
-- | `(∏ᶠ ($x:ident) ($y:ident) ($z:ident), $p) =>
-- `(finprod fun $x => (finprod fun $y => (finprod fun $z => $p)))
-- | `(∏ᶠ ($x:ident) ($y:ident) ($z:ident) ($h:ident : $t), $p) =>
-- `(finprod fun $x => (finprod fun $y => (finprod fun $z =>
-- (finprod (α := $t) fun $h => $p))))
@[to_additive]
theorem finprod_eq_prod_plift_of_mulSupport_toFinset_subset {f : α → M}
(hf : (mulSupport (f ∘ PLift.down)).Finite) {s : Finset (PLift α)} (hs : hf.toFinset ⊆ s) :
∏ᶠ i, f i = ∏ i ∈ s, f i.down := by
rw [finprod, dif_pos]
refine Finset.prod_subset hs fun x _ hxf => ?_
rwa [hf.mem_toFinset, nmem_mulSupport] at hxf
#align finprod_eq_prod_plift_of_mul_support_to_finset_subset finprod_eq_prod_plift_of_mulSupport_toFinset_subset
#align finsum_eq_sum_plift_of_support_to_finset_subset finsum_eq_sum_plift_of_support_toFinset_subset
@[to_additive]
theorem finprod_eq_prod_plift_of_mulSupport_subset {f : α → M} {s : Finset (PLift α)}
(hs : mulSupport (f ∘ PLift.down) ⊆ s) : ∏ᶠ i, f i = ∏ i ∈ s, f i.down :=
finprod_eq_prod_plift_of_mulSupport_toFinset_subset (s.finite_toSet.subset hs) fun x hx => by
rw [Finite.mem_toFinset] at hx
exact hs hx
#align finprod_eq_prod_plift_of_mul_support_subset finprod_eq_prod_plift_of_mulSupport_subset
#align finsum_eq_sum_plift_of_support_subset finsum_eq_sum_plift_of_support_subset
@[to_additive (attr := simp)]
theorem finprod_one : (∏ᶠ _ : α, (1 : M)) = 1 := by
have : (mulSupport fun x : PLift α => (fun _ => 1 : α → M) x.down) ⊆ (∅ : Finset (PLift α)) :=
fun x h => by simp at h
rw [finprod_eq_prod_plift_of_mulSupport_subset this, Finset.prod_empty]
#align finprod_one finprod_one
#align finsum_zero finsum_zero
@[to_additive]
theorem finprod_of_isEmpty [IsEmpty α] (f : α → M) : ∏ᶠ i, f i = 1 := by
rw [← finprod_one]
congr
simp [eq_iff_true_of_subsingleton]
#align finprod_of_is_empty finprod_of_isEmpty
#align finsum_of_is_empty finsum_of_isEmpty
@[to_additive (attr := simp)]
theorem finprod_false (f : False → M) : ∏ᶠ i, f i = 1 :=
finprod_of_isEmpty _
#align finprod_false finprod_false
#align finsum_false finsum_false
@[to_additive]
theorem finprod_eq_single (f : α → M) (a : α) (ha : ∀ x, x ≠ a → f x = 1) :
∏ᶠ x, f x = f a := by
have : mulSupport (f ∘ PLift.down) ⊆ ({PLift.up a} : Finset (PLift α)) := by
intro x
contrapose
simpa [PLift.eq_up_iff_down_eq] using ha x.down
rw [finprod_eq_prod_plift_of_mulSupport_subset this, Finset.prod_singleton]
#align finprod_eq_single finprod_eq_single
#align finsum_eq_single finsum_eq_single
@[to_additive]
theorem finprod_unique [Unique α] (f : α → M) : ∏ᶠ i, f i = f default :=
finprod_eq_single f default fun _x hx => (hx <| Unique.eq_default _).elim
#align finprod_unique finprod_unique
#align finsum_unique finsum_unique
@[to_additive (attr := simp)]
theorem finprod_true (f : True → M) : ∏ᶠ i, f i = f trivial :=
@finprod_unique M True _ ⟨⟨trivial⟩, fun _ => rfl⟩ f
#align finprod_true finprod_true
#align finsum_true finsum_true
@[to_additive]
theorem finprod_eq_dif {p : Prop} [Decidable p] (f : p → M) :
∏ᶠ i, f i = if h : p then f h else 1 := by
split_ifs with h
· haveI : Unique p := ⟨⟨h⟩, fun _ => rfl⟩
exact finprod_unique f
· haveI : IsEmpty p := ⟨h⟩
exact finprod_of_isEmpty f
#align finprod_eq_dif finprod_eq_dif
#align finsum_eq_dif finsum_eq_dif
@[to_additive]
theorem finprod_eq_if {p : Prop} [Decidable p] {x : M} : ∏ᶠ _ : p, x = if p then x else 1 :=
finprod_eq_dif fun _ => x
#align finprod_eq_if finprod_eq_if
#align finsum_eq_if finsum_eq_if
@[to_additive]
theorem finprod_congr {f g : α → M} (h : ∀ x, f x = g x) : finprod f = finprod g :=
congr_arg _ <| funext h
#align finprod_congr finprod_congr
#align finsum_congr finsum_congr
@[to_additive (attr := congr)]
theorem finprod_congr_Prop {p q : Prop} {f : p → M} {g : q → M} (hpq : p = q)
(hfg : ∀ h : q, f (hpq.mpr h) = g h) : finprod f = finprod g := by
subst q
exact finprod_congr hfg
#align finprod_congr_Prop finprod_congr_Prop
#align finsum_congr_Prop finsum_congr_Prop
@[to_additive
"To prove a property of a finite sum, it suffices to prove that the property is
additive and holds on the summands."]
theorem finprod_induction {f : α → M} (p : M → Prop) (hp₀ : p 1)
(hp₁ : ∀ x y, p x → p y → p (x * y)) (hp₂ : ∀ i, p (f i)) : p (∏ᶠ i, f i) := by
rw [finprod]
split_ifs
exacts [Finset.prod_induction _ _ hp₁ hp₀ fun i _ => hp₂ _, hp₀]
#align finprod_induction finprod_induction
#align finsum_induction finsum_induction
theorem finprod_nonneg {R : Type*} [OrderedCommSemiring R] {f : α → R} (hf : ∀ x, 0 ≤ f x) :
0 ≤ ∏ᶠ x, f x :=
finprod_induction (fun x => 0 ≤ x) zero_le_one (fun _ _ => mul_nonneg) hf
#align finprod_nonneg finprod_nonneg
@[to_additive finsum_nonneg]
theorem one_le_finprod' {M : Type*} [OrderedCommMonoid M] {f : α → M} (hf : ∀ i, 1 ≤ f i) :
1 ≤ ∏ᶠ i, f i :=
finprod_induction _ le_rfl (fun _ _ => one_le_mul) hf
#align one_le_finprod' one_le_finprod'
#align finsum_nonneg finsum_nonneg
@[to_additive]
theorem MonoidHom.map_finprod_plift (f : M →* N) (g : α → M)
(h : (mulSupport <| g ∘ PLift.down).Finite) : f (∏ᶠ x, g x) = ∏ᶠ x, f (g x) := by
rw [finprod_eq_prod_plift_of_mulSupport_subset h.coe_toFinset.ge,
finprod_eq_prod_plift_of_mulSupport_subset, map_prod]
rw [h.coe_toFinset]
exact mulSupport_comp_subset f.map_one (g ∘ PLift.down)
#align monoid_hom.map_finprod_plift MonoidHom.map_finprod_plift
#align add_monoid_hom.map_finsum_plift AddMonoidHom.map_finsum_plift
@[to_additive]
theorem MonoidHom.map_finprod_Prop {p : Prop} (f : M →* N) (g : p → M) :
f (∏ᶠ x, g x) = ∏ᶠ x, f (g x) :=
f.map_finprod_plift g (Set.toFinite _)
#align monoid_hom.map_finprod_Prop MonoidHom.map_finprod_Prop
#align add_monoid_hom.map_finsum_Prop AddMonoidHom.map_finsum_Prop
@[to_additive]
theorem MonoidHom.map_finprod_of_preimage_one (f : M →* N) (hf : ∀ x, f x = 1 → x = 1) (g : α → M) :
f (∏ᶠ i, g i) = ∏ᶠ i, f (g i) := by
by_cases hg : (mulSupport <| g ∘ PLift.down).Finite; · exact f.map_finprod_plift g hg
rw [finprod, dif_neg, f.map_one, finprod, dif_neg]
exacts [Infinite.mono (fun x hx => mt (hf (g x.down)) hx) hg, hg]
#align monoid_hom.map_finprod_of_preimage_one MonoidHom.map_finprod_of_preimage_one
#align add_monoid_hom.map_finsum_of_preimage_zero AddMonoidHom.map_finsum_of_preimage_zero
@[to_additive]
theorem MonoidHom.map_finprod_of_injective (g : M →* N) (hg : Injective g) (f : α → M) :
g (∏ᶠ i, f i) = ∏ᶠ i, g (f i) :=
g.map_finprod_of_preimage_one (fun _ => (hg.eq_iff' g.map_one).mp) f
#align monoid_hom.map_finprod_of_injective MonoidHom.map_finprod_of_injective
#align add_monoid_hom.map_finsum_of_injective AddMonoidHom.map_finsum_of_injective
@[to_additive]
theorem MulEquiv.map_finprod (g : M ≃* N) (f : α → M) : g (∏ᶠ i, f i) = ∏ᶠ i, g (f i) :=
g.toMonoidHom.map_finprod_of_injective (EquivLike.injective g) f
#align mul_equiv.map_finprod MulEquiv.map_finprod
#align add_equiv.map_finsum AddEquiv.map_finsum
theorem finsum_smul {R M : Type*} [Ring R] [AddCommGroup M] [Module R M] [NoZeroSMulDivisors R M]
(f : ι → R) (x : M) : (∑ᶠ i, f i) • x = ∑ᶠ i, f i • x := by
rcases eq_or_ne x 0 with (rfl | hx)
· simp
· exact ((smulAddHom R M).flip x).map_finsum_of_injective (smul_left_injective R hx) _
#align finsum_smul finsum_smul
| Mathlib/Algebra/BigOperators/Finprod.lean | 340 | 344 | theorem smul_finsum {R M : Type*} [Ring R] [AddCommGroup M] [Module R M] [NoZeroSMulDivisors R M]
(c : R) (f : ι → M) : (c • ∑ᶠ i, f i) = ∑ᶠ i, c • f i := by |
rcases eq_or_ne c 0 with (rfl | hc)
· simp
· exact (smulAddHom R M c).map_finsum_of_injective (smul_right_injective M hc) _
|
import Mathlib.Algebra.Order.BigOperators.Group.Finset
import Mathlib.Combinatorics.Hall.Basic
import Mathlib.Data.Fintype.BigOperators
import Mathlib.SetTheory.Cardinal.Finite
#align_import combinatorics.configuration from "leanprover-community/mathlib"@"d2d8742b0c21426362a9dacebc6005db895ca963"
open Finset
namespace Configuration
variable (P L : Type*) [Membership P L]
def Dual :=
P
#align configuration.dual Configuration.Dual
-- Porting note: was `this` instead of `h`
instance [h : Inhabited P] : Inhabited (Dual P) :=
h
instance [Finite P] : Finite (Dual P) :=
‹Finite P›
-- Porting note: was `this` instead of `h`
instance [h : Fintype P] : Fintype (Dual P) :=
h
-- Porting note (#11215): TODO: figure out if this is needed.
set_option synthInstance.checkSynthOrder false in
instance : Membership (Dual L) (Dual P) :=
⟨Function.swap (Membership.mem : P → L → Prop)⟩
class Nondegenerate : Prop where
exists_point : ∀ l : L, ∃ p, p ∉ l
exists_line : ∀ p, ∃ l : L, p ∉ l
eq_or_eq : ∀ {p₁ p₂ : P} {l₁ l₂ : L}, p₁ ∈ l₁ → p₂ ∈ l₁ → p₁ ∈ l₂ → p₂ ∈ l₂ → p₁ = p₂ ∨ l₁ = l₂
#align configuration.nondegenerate Configuration.Nondegenerate
class HasPoints extends Nondegenerate P L where
mkPoint : ∀ {l₁ l₂ : L}, l₁ ≠ l₂ → P
mkPoint_ax : ∀ {l₁ l₂ : L} (h : l₁ ≠ l₂), mkPoint h ∈ l₁ ∧ mkPoint h ∈ l₂
#align configuration.has_points Configuration.HasPoints
class HasLines extends Nondegenerate P L where
mkLine : ∀ {p₁ p₂ : P}, p₁ ≠ p₂ → L
mkLine_ax : ∀ {p₁ p₂ : P} (h : p₁ ≠ p₂), p₁ ∈ mkLine h ∧ p₂ ∈ mkLine h
#align configuration.has_lines Configuration.HasLines
open Nondegenerate
open HasPoints (mkPoint mkPoint_ax)
open HasLines (mkLine mkLine_ax)
instance Dual.Nondegenerate [Nondegenerate P L] : Nondegenerate (Dual L) (Dual P) where
exists_point := @exists_line P L _ _
exists_line := @exists_point P L _ _
eq_or_eq := @fun l₁ l₂ p₁ p₂ h₁ h₂ h₃ h₄ => (@eq_or_eq P L _ _ p₁ p₂ l₁ l₂ h₁ h₃ h₂ h₄).symm
instance Dual.hasLines [HasPoints P L] : HasLines (Dual L) (Dual P) :=
{ Dual.Nondegenerate _ _ with
mkLine := @mkPoint P L _ _
mkLine_ax := @mkPoint_ax P L _ _ }
instance Dual.hasPoints [HasLines P L] : HasPoints (Dual L) (Dual P) :=
{ Dual.Nondegenerate _ _ with
mkPoint := @mkLine P L _ _
mkPoint_ax := @mkLine_ax P L _ _ }
theorem HasPoints.existsUnique_point [HasPoints P L] (l₁ l₂ : L) (hl : l₁ ≠ l₂) :
∃! p, p ∈ l₁ ∧ p ∈ l₂ :=
⟨mkPoint hl, mkPoint_ax hl, fun _ hp =>
(eq_or_eq hp.1 (mkPoint_ax hl).1 hp.2 (mkPoint_ax hl).2).resolve_right hl⟩
#align configuration.has_points.exists_unique_point Configuration.HasPoints.existsUnique_point
theorem HasLines.existsUnique_line [HasLines P L] (p₁ p₂ : P) (hp : p₁ ≠ p₂) :
∃! l : L, p₁ ∈ l ∧ p₂ ∈ l :=
HasPoints.existsUnique_point (Dual L) (Dual P) p₁ p₂ hp
#align configuration.has_lines.exists_unique_line Configuration.HasLines.existsUnique_line
variable {P L}
theorem Nondegenerate.exists_injective_of_card_le [Nondegenerate P L] [Fintype P] [Fintype L]
(h : Fintype.card L ≤ Fintype.card P) : ∃ f : L → P, Function.Injective f ∧ ∀ l, f l ∉ l := by
classical
let t : L → Finset P := fun l => Set.toFinset { p | p ∉ l }
suffices ∀ s : Finset L, s.card ≤ (s.biUnion t).card by
-- Hall's marriage theorem
obtain ⟨f, hf1, hf2⟩ := (Finset.all_card_le_biUnion_card_iff_exists_injective t).mp this
exact ⟨f, hf1, fun l => Set.mem_toFinset.mp (hf2 l)⟩
intro s
by_cases hs₀ : s.card = 0
-- If `s = ∅`, then `s.card = 0 ≤ (s.bUnion t).card`
· simp_rw [hs₀, zero_le]
by_cases hs₁ : s.card = 1
-- If `s = {l}`, then pick a point `p ∉ l`
· obtain ⟨l, rfl⟩ := Finset.card_eq_one.mp hs₁
obtain ⟨p, hl⟩ := exists_point l
rw [Finset.card_singleton, Finset.singleton_biUnion, Nat.one_le_iff_ne_zero]
exact Finset.card_ne_zero_of_mem (Set.mem_toFinset.mpr hl)
suffices (s.biUnion t)ᶜ.card ≤ sᶜ.card by
-- Rephrase in terms of complements (uses `h`)
rw [Finset.card_compl, Finset.card_compl, tsub_le_iff_left] at this
replace := h.trans this
rwa [← add_tsub_assoc_of_le s.card_le_univ, le_tsub_iff_left (le_add_left s.card_le_univ),
add_le_add_iff_right] at this
have hs₂ : (s.biUnion t)ᶜ.card ≤ 1 := by
-- At most one line through two points of `s`
refine Finset.card_le_one_iff.mpr @fun p₁ p₂ hp₁ hp₂ => ?_
simp_rw [t, Finset.mem_compl, Finset.mem_biUnion, not_exists, not_and,
Set.mem_toFinset, Set.mem_setOf_eq, Classical.not_not] at hp₁ hp₂
obtain ⟨l₁, l₂, hl₁, hl₂, hl₃⟩ :=
Finset.one_lt_card_iff.mp (Nat.one_lt_iff_ne_zero_and_ne_one.mpr ⟨hs₀, hs₁⟩)
exact (eq_or_eq (hp₁ l₁ hl₁) (hp₂ l₁ hl₁) (hp₁ l₂ hl₂) (hp₂ l₂ hl₂)).resolve_right hl₃
by_cases hs₃ : sᶜ.card = 0
· rw [hs₃, Nat.le_zero]
rw [Finset.card_compl, tsub_eq_zero_iff_le, LE.le.le_iff_eq (Finset.card_le_univ _), eq_comm,
Finset.card_eq_iff_eq_univ] at hs₃ ⊢
rw [hs₃]
rw [Finset.eq_univ_iff_forall] at hs₃ ⊢
exact fun p =>
Exists.elim (exists_line p)-- If `s = univ`, then show `s.bUnion t = univ`
fun l hl => Finset.mem_biUnion.mpr ⟨l, Finset.mem_univ l, Set.mem_toFinset.mpr hl⟩
· exact hs₂.trans (Nat.one_le_iff_ne_zero.mpr hs₃)
#align configuration.nondegenerate.exists_injective_of_card_le Configuration.Nondegenerate.exists_injective_of_card_le
-- If `s < univ`, then consequence of `hs₂`
variable (L)
noncomputable def lineCount (p : P) : ℕ :=
Nat.card { l : L // p ∈ l }
#align configuration.line_count Configuration.lineCount
variable (P) {L}
noncomputable def pointCount (l : L) : ℕ :=
Nat.card { p : P // p ∈ l }
#align configuration.point_count Configuration.pointCount
variable (L)
theorem sum_lineCount_eq_sum_pointCount [Fintype P] [Fintype L] :
∑ p : P, lineCount L p = ∑ l : L, pointCount P l := by
classical
simp only [lineCount, pointCount, Nat.card_eq_fintype_card, ← Fintype.card_sigma]
apply Fintype.card_congr
calc
(Σp, { l : L // p ∈ l }) ≃ { x : P × L // x.1 ∈ x.2 } :=
(Equiv.subtypeProdEquivSigmaSubtype (· ∈ ·)).symm
_ ≃ { x : L × P // x.2 ∈ x.1 } := (Equiv.prodComm P L).subtypeEquiv fun x => Iff.rfl
_ ≃ Σl, { p // p ∈ l } := Equiv.subtypeProdEquivSigmaSubtype fun (l : L) (p : P) => p ∈ l
#align configuration.sum_line_count_eq_sum_point_count Configuration.sum_lineCount_eq_sum_pointCount
variable {P L}
theorem HasLines.pointCount_le_lineCount [HasLines P L] {p : P} {l : L} (h : p ∉ l)
[Finite { l : L // p ∈ l }] : pointCount P l ≤ lineCount L p := by
by_cases hf : Infinite { p : P // p ∈ l }
· exact (le_of_eq Nat.card_eq_zero_of_infinite).trans (zero_le (lineCount L p))
haveI := fintypeOfNotInfinite hf
cases nonempty_fintype { l : L // p ∈ l }
rw [lineCount, pointCount, Nat.card_eq_fintype_card, Nat.card_eq_fintype_card]
have : ∀ p' : { p // p ∈ l }, p ≠ p' := fun p' hp' => h ((congr_arg (· ∈ l) hp').mpr p'.2)
exact
Fintype.card_le_of_injective (fun p' => ⟨mkLine (this p'), (mkLine_ax (this p')).1⟩)
fun p₁ p₂ hp =>
Subtype.ext
((eq_or_eq p₁.2 p₂.2 (mkLine_ax (this p₁)).2
((congr_arg _ (Subtype.ext_iff.mp hp)).mpr (mkLine_ax (this p₂)).2)).resolve_right
fun h' => (congr_arg (¬p ∈ ·) h').mp h (mkLine_ax (this p₁)).1)
#align configuration.has_lines.point_count_le_line_count Configuration.HasLines.pointCount_le_lineCount
theorem HasPoints.lineCount_le_pointCount [HasPoints P L] {p : P} {l : L} (h : p ∉ l)
[hf : Finite { p : P // p ∈ l }] : lineCount L p ≤ pointCount P l :=
@HasLines.pointCount_le_lineCount (Dual L) (Dual P) _ _ l p h hf
#align configuration.has_points.line_count_le_point_count Configuration.HasPoints.lineCount_le_pointCount
variable (P L)
theorem HasLines.card_le [HasLines P L] [Fintype P] [Fintype L] :
Fintype.card P ≤ Fintype.card L := by
classical
by_contra hc₂
obtain ⟨f, hf₁, hf₂⟩ := Nondegenerate.exists_injective_of_card_le (le_of_not_le hc₂)
have :=
calc
∑ p, lineCount L p = ∑ l, pointCount P l := sum_lineCount_eq_sum_pointCount P L
_ ≤ ∑ l, lineCount L (f l) :=
(Finset.sum_le_sum fun l _ => HasLines.pointCount_le_lineCount (hf₂ l))
_ = ∑ p ∈ univ.map ⟨f, hf₁⟩, lineCount L p := by rw [sum_map]; dsimp
_ < ∑ p, lineCount L p := by
obtain ⟨p, hp⟩ := not_forall.mp (mt (Fintype.card_le_of_surjective f) hc₂)
refine sum_lt_sum_of_subset (subset_univ _) (mem_univ p) ?_ ?_ fun p _ _ ↦ zero_le _
· simpa only [Finset.mem_map, exists_prop, Finset.mem_univ, true_and_iff]
· rw [lineCount, Nat.card_eq_fintype_card, Fintype.card_pos_iff]
obtain ⟨l, _⟩ := @exists_line P L _ _ p
exact
let this := not_exists.mp hp l
⟨⟨mkLine this, (mkLine_ax this).2⟩⟩
exact lt_irrefl _ this
#align configuration.has_lines.card_le Configuration.HasLines.card_le
theorem HasPoints.card_le [HasPoints P L] [Fintype P] [Fintype L] :
Fintype.card L ≤ Fintype.card P :=
@HasLines.card_le (Dual L) (Dual P) _ _ _ _
#align configuration.has_points.card_le Configuration.HasPoints.card_le
variable {P L}
| Mathlib/Combinatorics/Configuration.lean | 256 | 263 | theorem HasLines.exists_bijective_of_card_eq [HasLines P L] [Fintype P] [Fintype L]
(h : Fintype.card P = Fintype.card L) :
∃ f : L → P, Function.Bijective f ∧ ∀ l, pointCount P l = lineCount L (f l) := by |
classical
obtain ⟨f, hf1, hf2⟩ := Nondegenerate.exists_injective_of_card_le (ge_of_eq h)
have hf3 := (Fintype.bijective_iff_injective_and_card f).mpr ⟨hf1, h.symm⟩
exact ⟨f, hf3, fun l ↦ (sum_eq_sum_iff_of_le fun l _ ↦ pointCount_le_lineCount (hf2 l)).1
((hf3.sum_comp _).trans (sum_lineCount_eq_sum_pointCount P L)).symm _ <| mem_univ _⟩
|
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
| Mathlib/Data/Nat/Factorization/Basic.lean | 84 | 87 | theorem factorization_eq_factors_multiset (n : ℕ) :
n.factorization = Multiset.toFinsupp (n.factors : Multiset ℕ) := by |
ext p
simp
|
import Mathlib.MeasureTheory.Measure.Lebesgue.Complex
import Mathlib.MeasureTheory.Integral.DivergenceTheorem
import Mathlib.MeasureTheory.Integral.CircleIntegral
import Mathlib.Analysis.Calculus.Dslope
import Mathlib.Analysis.Analytic.Basic
import Mathlib.Analysis.Complex.ReImTopology
import Mathlib.Analysis.Calculus.DiffContOnCl
import Mathlib.Analysis.Calculus.FDeriv.Analytic
import Mathlib.Data.Real.Cardinality
#align_import analysis.complex.cauchy_integral from "leanprover-community/mathlib"@"fd5edc43dc4f10b85abfe544b88f82cf13c5f844"
open TopologicalSpace Set MeasureTheory intervalIntegral Metric Filter Function
open scoped Interval Real NNReal ENNReal Topology
noncomputable section
universe u
variable {E : Type u} [NormedAddCommGroup E] [NormedSpace ℂ E] [CompleteSpace E]
namespace Complex
theorem integral_boundary_rect_of_hasFDerivAt_real_off_countable (f : ℂ → E) (f' : ℂ → ℂ →L[ℝ] E)
(z w : ℂ) (s : Set ℂ) (hs : s.Countable)
(Hc : ContinuousOn f ([[z.re, w.re]] ×ℂ [[z.im, w.im]]))
(Hd : ∀ x ∈ Ioo (min z.re w.re) (max z.re w.re) ×ℂ Ioo (min z.im w.im) (max z.im w.im) \ s,
HasFDerivAt f (f' x) x)
(Hi : IntegrableOn (fun z => I • f' z 1 - f' z I) ([[z.re, w.re]] ×ℂ [[z.im, w.im]])) :
(∫ x : ℝ in z.re..w.re, f (x + z.im * I)) - (∫ x : ℝ in z.re..w.re, f (x + w.im * I)) +
I • (∫ y : ℝ in z.im..w.im, f (re w + y * I)) -
I • ∫ y : ℝ in z.im..w.im, f (re z + y * I) =
∫ x : ℝ in z.re..w.re, ∫ y : ℝ in z.im..w.im, I • f' (x + y * I) 1 - f' (x + y * I) I := by
set e : (ℝ × ℝ) ≃L[ℝ] ℂ := equivRealProdCLM.symm
have he : ∀ x y : ℝ, ↑x + ↑y * I = e (x, y) := fun x y => (mk_eq_add_mul_I x y).symm
have he₁ : e (1, 0) = 1 := rfl; have he₂ : e (0, 1) = I := rfl
simp only [he] at *
set F : ℝ × ℝ → E := f ∘ e
set F' : ℝ × ℝ → ℝ × ℝ →L[ℝ] E := fun p => (f' (e p)).comp (e : ℝ × ℝ →L[ℝ] ℂ)
have hF' : ∀ p : ℝ × ℝ, (-(I • F' p)) (1, 0) + F' p (0, 1) = -(I • f' (e p) 1 - f' (e p) I) := by
rintro ⟨x, y⟩
simp only [F', ContinuousLinearMap.neg_apply, ContinuousLinearMap.smul_apply,
ContinuousLinearMap.comp_apply, ContinuousLinearEquiv.coe_coe, he₁, he₂, neg_add_eq_sub,
neg_sub]
set R : Set (ℝ × ℝ) := [[z.re, w.re]] ×ˢ [[w.im, z.im]]
set t : Set (ℝ × ℝ) := e ⁻¹' s
rw [uIcc_comm z.im] at Hc Hi; rw [min_comm z.im, max_comm z.im] at Hd
have hR : e ⁻¹' ([[z.re, w.re]] ×ℂ [[w.im, z.im]]) = R := rfl
have htc : ContinuousOn F R := Hc.comp e.continuousOn hR.ge
have htd :
∀ p ∈ Ioo (min z.re w.re) (max z.re w.re) ×ˢ Ioo (min w.im z.im) (max w.im z.im) \ t,
HasFDerivAt F (F' p) p :=
fun p hp => (Hd (e p) hp).comp p e.hasFDerivAt
simp_rw [← intervalIntegral.integral_smul, intervalIntegral.integral_symm w.im z.im, ←
intervalIntegral.integral_neg, ← hF']
refine (integral2_divergence_prod_of_hasFDerivWithinAt_off_countable (fun p => -(I • F p)) F
(fun p => -(I • F' p)) F' z.re w.im w.re z.im t (hs.preimage e.injective)
(htc.const_smul _).neg htc (fun p hp => ((htd p hp).const_smul I).neg) htd ?_).symm
rw [← (volume_preserving_equiv_real_prod.symm _).integrableOn_comp_preimage
(MeasurableEquiv.measurableEmbedding _)] at Hi
simpa only [hF'] using Hi.neg
#align complex.integral_boundary_rect_of_has_fderiv_at_real_off_countable Complex.integral_boundary_rect_of_hasFDerivAt_real_off_countable
theorem integral_boundary_rect_of_continuousOn_of_hasFDerivAt_real (f : ℂ → E) (f' : ℂ → ℂ →L[ℝ] E)
(z w : ℂ) (Hc : ContinuousOn f ([[z.re, w.re]] ×ℂ [[z.im, w.im]]))
(Hd : ∀ x ∈ Ioo (min z.re w.re) (max z.re w.re) ×ℂ Ioo (min z.im w.im) (max z.im w.im),
HasFDerivAt f (f' x) x)
(Hi : IntegrableOn (fun z => I • f' z 1 - f' z I) ([[z.re, w.re]] ×ℂ [[z.im, w.im]])) :
(∫ x : ℝ in z.re..w.re, f (x + z.im * I)) - (∫ x : ℝ in z.re..w.re, f (x + w.im * I)) +
I • (∫ y : ℝ in z.im..w.im, f (re w + y * I)) -
I • (∫ y : ℝ in z.im..w.im, f (re z + y * I)) =
∫ x : ℝ in z.re..w.re, ∫ y : ℝ in z.im..w.im, I • f' (x + y * I) 1 - f' (x + y * I) I :=
integral_boundary_rect_of_hasFDerivAt_real_off_countable f f' z w ∅ countable_empty Hc
(fun x hx => Hd x hx.1) Hi
#align complex.integral_boundary_rect_of_continuous_on_of_has_fderiv_at_real Complex.integral_boundary_rect_of_continuousOn_of_hasFDerivAt_real
theorem integral_boundary_rect_of_differentiableOn_real (f : ℂ → E) (z w : ℂ)
(Hd : DifferentiableOn ℝ f ([[z.re, w.re]] ×ℂ [[z.im, w.im]]))
(Hi : IntegrableOn (fun z => I • fderiv ℝ f z 1 - fderiv ℝ f z I)
([[z.re, w.re]] ×ℂ [[z.im, w.im]])) :
(∫ x : ℝ in z.re..w.re, f (x + z.im * I)) - (∫ x : ℝ in z.re..w.re, f (x + w.im * I)) +
I • (∫ y : ℝ in z.im..w.im, f (re w + y * I)) -
I • (∫ y : ℝ in z.im..w.im, f (re z + y * I)) =
∫ x : ℝ in z.re..w.re, ∫ y : ℝ in z.im..w.im,
I • fderiv ℝ f (x + y * I) 1 - fderiv ℝ f (x + y * I) I :=
integral_boundary_rect_of_hasFDerivAt_real_off_countable f (fderiv ℝ f) z w ∅ countable_empty
Hd.continuousOn
(fun x hx => Hd.hasFDerivAt <| by
simpa only [← mem_interior_iff_mem_nhds, interior_reProdIm, uIcc, interior_Icc] using hx.1)
Hi
#align complex.integral_boundary_rect_of_differentiable_on_real Complex.integral_boundary_rect_of_differentiableOn_real
theorem integral_boundary_rect_eq_zero_of_differentiable_on_off_countable (f : ℂ → E) (z w : ℂ)
(s : Set ℂ) (hs : s.Countable) (Hc : ContinuousOn f ([[z.re, w.re]] ×ℂ [[z.im, w.im]]))
(Hd : ∀ x ∈ Ioo (min z.re w.re) (max z.re w.re) ×ℂ Ioo (min z.im w.im) (max z.im w.im) \ s,
DifferentiableAt ℂ f x) :
(∫ x : ℝ in z.re..w.re, f (x + z.im * I)) - (∫ x : ℝ in z.re..w.re, f (x + w.im * I)) +
I • (∫ y : ℝ in z.im..w.im, f (re w + y * I)) -
I • (∫ y : ℝ in z.im..w.im, f (re z + y * I)) = 0 := by
refine (integral_boundary_rect_of_hasFDerivAt_real_off_countable f
(fun z => (fderiv ℂ f z).restrictScalars ℝ) z w s hs Hc
(fun x hx => (Hd x hx).hasFDerivAt.restrictScalars ℝ) ?_).trans ?_ <;>
simp [← ContinuousLinearMap.map_smul]
#align complex.integral_boundary_rect_eq_zero_of_differentiable_on_off_countable Complex.integral_boundary_rect_eq_zero_of_differentiable_on_off_countable
theorem integral_boundary_rect_eq_zero_of_continuousOn_of_differentiableOn (f : ℂ → E) (z w : ℂ)
(Hc : ContinuousOn f ([[z.re, w.re]] ×ℂ [[z.im, w.im]]))
(Hd : DifferentiableOn ℂ f
(Ioo (min z.re w.re) (max z.re w.re) ×ℂ Ioo (min z.im w.im) (max z.im w.im))) :
(∫ x : ℝ in z.re..w.re, f (x + z.im * I)) - (∫ x : ℝ in z.re..w.re, f (x + w.im * I)) +
I • (∫ y : ℝ in z.im..w.im, f (re w + y * I)) -
I • (∫ y : ℝ in z.im..w.im, f (re z + y * I)) = 0 :=
integral_boundary_rect_eq_zero_of_differentiable_on_off_countable f z w ∅ countable_empty Hc
fun _x hx => Hd.differentiableAt <| (isOpen_Ioo.reProdIm isOpen_Ioo).mem_nhds hx.1
#align complex.integral_boundary_rect_eq_zero_of_continuous_on_of_differentiable_on Complex.integral_boundary_rect_eq_zero_of_continuousOn_of_differentiableOn
theorem integral_boundary_rect_eq_zero_of_differentiableOn (f : ℂ → E) (z w : ℂ)
(H : DifferentiableOn ℂ f ([[z.re, w.re]] ×ℂ [[z.im, w.im]])) :
(∫ x : ℝ in z.re..w.re, f (x + z.im * I)) - (∫ x : ℝ in z.re..w.re, f (x + w.im * I)) +
I • (∫ y : ℝ in z.im..w.im, f (re w + y * I)) -
I • (∫ y : ℝ in z.im..w.im, f (re z + y * I)) = 0 :=
integral_boundary_rect_eq_zero_of_continuousOn_of_differentiableOn f z w H.continuousOn <|
H.mono <|
inter_subset_inter (preimage_mono Ioo_subset_Icc_self) (preimage_mono Ioo_subset_Icc_self)
#align complex.integral_boundary_rect_eq_zero_of_differentiable_on Complex.integral_boundary_rect_eq_zero_of_differentiableOn
theorem circleIntegral_sub_center_inv_smul_eq_of_differentiable_on_annulus_off_countable {c : ℂ}
{r R : ℝ} (h0 : 0 < r) (hle : r ≤ R) {f : ℂ → E} {s : Set ℂ} (hs : s.Countable)
(hc : ContinuousOn f (closedBall c R \ ball c r))
(hd : ∀ z ∈ (ball c R \ closedBall c r) \ s, DifferentiableAt ℂ f z) :
(∮ z in C(c, R), (z - c)⁻¹ • f z) = ∮ z in C(c, r), (z - c)⁻¹ • f z := by
set A := closedBall c R \ ball c r
obtain ⟨a, rfl⟩ : ∃ a, Real.exp a = r := ⟨Real.log r, Real.exp_log h0⟩
obtain ⟨b, rfl⟩ : ∃ b, Real.exp b = R := ⟨Real.log R, Real.exp_log (h0.trans_le hle)⟩
rw [Real.exp_le_exp] at hle
-- Unfold definition of `circleIntegral` and cancel some terms.
suffices
(∫ θ in (0)..2 * π, I • f (circleMap c (Real.exp b) θ)) =
∫ θ in (0)..2 * π, I • f (circleMap c (Real.exp a) θ) by
simpa only [circleIntegral, add_sub_cancel_left, ofReal_exp, ← exp_add, smul_smul, ←
div_eq_mul_inv, mul_div_cancel_left₀ _ (circleMap_ne_center (Real.exp_pos _).ne'),
circleMap_sub_center, deriv_circleMap]
set R := [[a, b]] ×ℂ [[0, 2 * π]]
set g : ℂ → ℂ := (c + exp ·)
have hdg : Differentiable ℂ g := differentiable_exp.const_add _
replace hs : (g ⁻¹' s).Countable := (hs.preimage (add_right_injective c)).preimage_cexp
have h_maps : MapsTo g R A := by rintro z ⟨h, -⟩; simpa [g, A, dist_eq, abs_exp, hle] using h.symm
replace hc : ContinuousOn (f ∘ g) R := hc.comp hdg.continuous.continuousOn h_maps
replace hd : ∀ z ∈ Ioo (min a b) (max a b) ×ℂ Ioo (min 0 (2 * π)) (max 0 (2 * π)) \ g ⁻¹' s,
DifferentiableAt ℂ (f ∘ g) z := by
refine fun z hz => (hd (g z) ⟨?_, hz.2⟩).comp z (hdg _)
simpa [g, dist_eq, abs_exp, hle, and_comm] using hz.1.1
simpa [g, circleMap, exp_periodic _, sub_eq_zero, ← exp_add] using
integral_boundary_rect_eq_zero_of_differentiable_on_off_countable _ ⟨a, 0⟩ ⟨b, 2 * π⟩ _ hs hc hd
#align complex.circle_integral_sub_center_inv_smul_eq_of_differentiable_on_annulus_off_countable Complex.circleIntegral_sub_center_inv_smul_eq_of_differentiable_on_annulus_off_countable
theorem circleIntegral_eq_of_differentiable_on_annulus_off_countable {c : ℂ} {r R : ℝ} (h0 : 0 < r)
(hle : r ≤ R) {f : ℂ → E} {s : Set ℂ} (hs : s.Countable)
(hc : ContinuousOn f (closedBall c R \ ball c r))
(hd : ∀ z ∈ (ball c R \ closedBall c r) \ s, DifferentiableAt ℂ f z) :
(∮ z in C(c, R), f z) = ∮ z in C(c, r), f z :=
calc
(∮ z in C(c, R), f z) = ∮ z in C(c, R), (z - c)⁻¹ • (z - c) • f z :=
(circleIntegral.integral_sub_inv_smul_sub_smul _ _ _ _).symm
_ = ∮ z in C(c, r), (z - c)⁻¹ • (z - c) • f z :=
(circleIntegral_sub_center_inv_smul_eq_of_differentiable_on_annulus_off_countable h0 hle hs
((continuousOn_id.sub continuousOn_const).smul hc) fun z hz =>
(differentiableAt_id.sub_const _).smul (hd z hz))
_ = ∮ z in C(c, r), f z := circleIntegral.integral_sub_inv_smul_sub_smul _ _ _ _
#align complex.circle_integral_eq_of_differentiable_on_annulus_off_countable Complex.circleIntegral_eq_of_differentiable_on_annulus_off_countable
theorem circleIntegral_sub_center_inv_smul_of_differentiable_on_off_countable_of_tendsto {c : ℂ}
{R : ℝ} (h0 : 0 < R) {f : ℂ → E} {y : E} {s : Set ℂ} (hs : s.Countable)
(hc : ContinuousOn f (closedBall c R \ {c}))
(hd : ∀ z ∈ (ball c R \ {c}) \ s, DifferentiableAt ℂ f z) (hy : Tendsto f (𝓝[{c}ᶜ] c) (𝓝 y)) :
(∮ z in C(c, R), (z - c)⁻¹ • f z) = (2 * π * I : ℂ) • y := by
rw [← sub_eq_zero, ← norm_le_zero_iff]
refine le_of_forall_le_of_dense fun ε ε0 => ?_
obtain ⟨δ, δ0, hδ⟩ : ∃ δ > (0 : ℝ), ∀ z ∈ closedBall c δ \ {c}, dist (f z) y < ε / (2 * π) :=
((nhdsWithin_hasBasis nhds_basis_closedBall _).tendsto_iff nhds_basis_ball).1 hy _
(div_pos ε0 Real.two_pi_pos)
obtain ⟨r, hr0, hrδ, hrR⟩ : ∃ r, 0 < r ∧ r ≤ δ ∧ r ≤ R :=
⟨min δ R, lt_min δ0 h0, min_le_left _ _, min_le_right _ _⟩
have hsub : closedBall c R \ ball c r ⊆ closedBall c R \ {c} :=
diff_subset_diff_right (singleton_subset_iff.2 <| mem_ball_self hr0)
have hsub' : ball c R \ closedBall c r ⊆ ball c R \ {c} :=
diff_subset_diff_right (singleton_subset_iff.2 <| mem_closedBall_self hr0.le)
have hzne : ∀ z ∈ sphere c r, z ≠ c := fun z hz =>
ne_of_mem_of_not_mem hz fun h => hr0.ne' <| dist_self c ▸ Eq.symm h
calc
‖(∮ z in C(c, R), (z - c)⁻¹ • f z) - (2 * ↑π * I) • y‖ =
‖(∮ z in C(c, r), (z - c)⁻¹ • f z) - ∮ z in C(c, r), (z - c)⁻¹ • y‖ := by
congr 2
· exact circleIntegral_sub_center_inv_smul_eq_of_differentiable_on_annulus_off_countable hr0
hrR hs (hc.mono hsub) fun z hz => hd z ⟨hsub' hz.1, hz.2⟩
· simp [hr0.ne']
_ = ‖∮ z in C(c, r), (z - c)⁻¹ • (f z - y)‖ := by
simp only [smul_sub]
have hc' : ContinuousOn (fun z => (z - c)⁻¹) (sphere c r) :=
(continuousOn_id.sub continuousOn_const).inv₀ fun z hz => sub_ne_zero.2 <| hzne _ hz
rw [circleIntegral.integral_sub] <;> refine (hc'.smul ?_).circleIntegrable hr0.le
· exact hc.mono <| subset_inter
(sphere_subset_closedBall.trans <| closedBall_subset_closedBall hrR) hzne
· exact continuousOn_const
_ ≤ 2 * π * r * (r⁻¹ * (ε / (2 * π))) := by
refine circleIntegral.norm_integral_le_of_norm_le_const hr0.le fun z hz => ?_
specialize hzne z hz
rw [mem_sphere, dist_eq_norm] at hz
rw [norm_smul, norm_inv, hz, ← dist_eq_norm]
refine mul_le_mul_of_nonneg_left (hδ _ ⟨?_, hzne⟩).le (inv_nonneg.2 hr0.le)
rwa [mem_closedBall_iff_norm, hz]
_ = ε := by field_simp [hr0.ne', Real.two_pi_pos.ne']; ac_rfl
#align complex.circle_integral_sub_center_inv_smul_of_differentiable_on_off_countable_of_tendsto Complex.circleIntegral_sub_center_inv_smul_of_differentiable_on_off_countable_of_tendsto
theorem circleIntegral_sub_center_inv_smul_of_differentiable_on_off_countable {R : ℝ} (h0 : 0 < R)
{f : ℂ → E} {c : ℂ} {s : Set ℂ} (hs : s.Countable) (hc : ContinuousOn f (closedBall c R))
(hd : ∀ z ∈ ball c R \ s, DifferentiableAt ℂ f z) :
(∮ z in C(c, R), (z - c)⁻¹ • f z) = (2 * π * I : ℂ) • f c :=
circleIntegral_sub_center_inv_smul_of_differentiable_on_off_countable_of_tendsto h0 hs
(hc.mono diff_subset) (fun z hz => hd z ⟨hz.1.1, hz.2⟩)
(hc.continuousAt <| closedBall_mem_nhds _ h0).continuousWithinAt
#align complex.circle_integral_sub_center_inv_smul_of_differentiable_on_off_countable Complex.circleIntegral_sub_center_inv_smul_of_differentiable_on_off_countable
theorem circleIntegral_eq_zero_of_differentiable_on_off_countable {R : ℝ} (h0 : 0 ≤ R) {f : ℂ → E}
{c : ℂ} {s : Set ℂ} (hs : s.Countable) (hc : ContinuousOn f (closedBall c R))
(hd : ∀ z ∈ ball c R \ s, DifferentiableAt ℂ f z) : (∮ z in C(c, R), f z) = 0 := by
rcases h0.eq_or_lt with (rfl | h0); · apply circleIntegral.integral_radius_zero
calc
(∮ z in C(c, R), f z) = ∮ z in C(c, R), (z - c)⁻¹ • (z - c) • f z :=
(circleIntegral.integral_sub_inv_smul_sub_smul _ _ _ _).symm
_ = (2 * ↑π * I : ℂ) • (c - c) • f c :=
(circleIntegral_sub_center_inv_smul_of_differentiable_on_off_countable h0 hs
((continuousOn_id.sub continuousOn_const).smul hc) fun z hz =>
(differentiableAt_id.sub_const _).smul (hd z hz))
_ = 0 := by rw [sub_self, zero_smul, smul_zero]
#align complex.circle_integral_eq_zero_of_differentiable_on_off_countable Complex.circleIntegral_eq_zero_of_differentiable_on_off_countable
theorem circleIntegral_sub_inv_smul_of_differentiable_on_off_countable_aux {R : ℝ} {c w : ℂ}
{f : ℂ → E} {s : Set ℂ} (hs : s.Countable) (hw : w ∈ ball c R \ s)
(hc : ContinuousOn f (closedBall c R)) (hd : ∀ x ∈ ball c R \ s, DifferentiableAt ℂ f x) :
(∮ z in C(c, R), (z - w)⁻¹ • f z) = (2 * π * I : ℂ) • f w := by
have hR : 0 < R := dist_nonneg.trans_lt hw.1
set F : ℂ → E := dslope f w
have hws : (insert w s).Countable := hs.insert w
have hcF : ContinuousOn F (closedBall c R) :=
(continuousOn_dslope <| closedBall_mem_nhds_of_mem hw.1).2 ⟨hc, hd _ hw⟩
have hdF : ∀ z ∈ ball (c : ℂ) R \ insert w s, DifferentiableAt ℂ F z := fun z hz =>
(differentiableAt_dslope_of_ne (ne_of_mem_of_not_mem (mem_insert _ _) hz.2).symm).2
(hd _ (diff_subset_diff_right (subset_insert _ _) hz))
have HI := circleIntegral_eq_zero_of_differentiable_on_off_countable hR.le hws hcF hdF
have hne : ∀ z ∈ sphere c R, z ≠ w := fun z hz => ne_of_mem_of_not_mem hz (ne_of_lt hw.1)
have hFeq : EqOn F (fun z => (z - w)⁻¹ • f z - (z - w)⁻¹ • f w) (sphere c R) := fun z hz ↦
calc
F z = (z - w)⁻¹ • (f z - f w) := update_noteq (hne z hz) _ _
_ = (z - w)⁻¹ • f z - (z - w)⁻¹ • f w := smul_sub _ _ _
have hc' : ContinuousOn (fun z => (z - w)⁻¹) (sphere c R) :=
(continuousOn_id.sub continuousOn_const).inv₀ fun z hz => sub_ne_zero.2 <| hne z hz
rw [← circleIntegral.integral_sub_inv_of_mem_ball hw.1, ← circleIntegral.integral_smul_const, ←
sub_eq_zero, ← circleIntegral.integral_sub, ← circleIntegral.integral_congr hR.le hFeq, HI]
exacts [(hc'.smul (hc.mono sphere_subset_closedBall)).circleIntegrable hR.le,
(hc'.smul continuousOn_const).circleIntegrable hR.le]
#align complex.circle_integral_sub_inv_smul_of_differentiable_on_off_countable_aux Complex.circleIntegral_sub_inv_smul_of_differentiable_on_off_countable_aux
theorem two_pi_I_inv_smul_circleIntegral_sub_inv_smul_of_differentiable_on_off_countable {R : ℝ}
{c w : ℂ} {f : ℂ → E} {s : Set ℂ} (hs : s.Countable) (hw : w ∈ ball c R)
(hc : ContinuousOn f (closedBall c R)) (hd : ∀ x ∈ ball c R \ s, DifferentiableAt ℂ f x) :
((2 * π * I : ℂ)⁻¹ • ∮ z in C(c, R), (z - w)⁻¹ • f z) = f w := by
have hR : 0 < R := dist_nonneg.trans_lt hw
suffices w ∈ closure (ball c R \ s) by
lift R to ℝ≥0 using hR.le
have A : ContinuousAt (fun w => (2 * π * I : ℂ)⁻¹ • ∮ z in C(c, R), (z - w)⁻¹ • f z) w := by
have := hasFPowerSeriesOn_cauchy_integral
((hc.mono sphere_subset_closedBall).circleIntegrable R.coe_nonneg) hR
refine this.continuousOn.continuousAt (EMetric.isOpen_ball.mem_nhds ?_)
rwa [Metric.emetric_ball_nnreal]
have B : ContinuousAt f w := hc.continuousAt (closedBall_mem_nhds_of_mem hw)
refine tendsto_nhds_unique_of_frequently_eq A B ((mem_closure_iff_frequently.1 this).mono ?_)
intro z hz
rw [circleIntegral_sub_inv_smul_of_differentiable_on_off_countable_aux hs hz hc hd,
inv_smul_smul₀]
simp [Real.pi_ne_zero, I_ne_zero]
refine mem_closure_iff_nhds.2 fun t ht => ?_
-- TODO: generalize to any vector space over `ℝ`
set g : ℝ → ℂ := fun x => w + ofReal x
have : Tendsto g (𝓝 0) (𝓝 w) :=
(continuous_const.add continuous_ofReal).tendsto' 0 w (add_zero _)
rcases mem_nhds_iff_exists_Ioo_subset.1 (this <| inter_mem ht <| isOpen_ball.mem_nhds hw) with
⟨l, u, hlu₀, hlu_sub⟩
obtain ⟨x, hx⟩ : (Ioo l u \ g ⁻¹' s).Nonempty := by
refine nonempty_diff.2 fun hsub => ?_
have : (Ioo l u).Countable :=
(hs.preimage ((add_right_injective w).comp ofReal_injective)).mono hsub
rw [← Cardinal.le_aleph0_iff_set_countable, Cardinal.mk_Ioo_real (hlu₀.1.trans hlu₀.2)] at this
exact this.not_lt Cardinal.aleph0_lt_continuum
exact ⟨g x, (hlu_sub hx.1).1, (hlu_sub hx.1).2, hx.2⟩
set_option linter.uppercaseLean3 false in
#align complex.two_pi_I_inv_smul_circle_integral_sub_inv_smul_of_differentiable_on_off_countable Complex.two_pi_I_inv_smul_circleIntegral_sub_inv_smul_of_differentiable_on_off_countable
theorem circleIntegral_sub_inv_smul_of_differentiable_on_off_countable {R : ℝ} {c w : ℂ} {f : ℂ → E}
{s : Set ℂ} (hs : s.Countable) (hw : w ∈ ball c R) (hc : ContinuousOn f (closedBall c R))
(hd : ∀ x ∈ ball c R \ s, DifferentiableAt ℂ f x) :
(∮ z in C(c, R), (z - w)⁻¹ • f z) = (2 * π * I : ℂ) • f w := by
rw [← two_pi_I_inv_smul_circleIntegral_sub_inv_smul_of_differentiable_on_off_countable
hs hw hc hd, smul_inv_smul₀]
simp [Real.pi_ne_zero, I_ne_zero]
#align complex.circle_integral_sub_inv_smul_of_differentiable_on_off_countable Complex.circleIntegral_sub_inv_smul_of_differentiable_on_off_countable
theorem _root_.DiffContOnCl.circleIntegral_sub_inv_smul {R : ℝ} {c w : ℂ} {f : ℂ → E}
(h : DiffContOnCl ℂ f (ball c R)) (hw : w ∈ ball c R) :
(∮ z in C(c, R), (z - w)⁻¹ • f z) = (2 * π * I : ℂ) • f w :=
circleIntegral_sub_inv_smul_of_differentiable_on_off_countable countable_empty hw
h.continuousOn_ball fun _x hx => h.differentiableAt isOpen_ball hx.1
#align diff_cont_on_cl.circle_integral_sub_inv_smul DiffContOnCl.circleIntegral_sub_inv_smul
| Mathlib/Analysis/Complex/CauchyIntegral.lean | 518 | 525 | theorem _root_.DiffContOnCl.two_pi_i_inv_smul_circleIntegral_sub_inv_smul {R : ℝ} {c w : ℂ}
{f : ℂ → E} (hf : DiffContOnCl ℂ f (ball c R)) (hw : w ∈ ball c R) :
((2 * π * I : ℂ)⁻¹ • ∮ z in C(c, R), (z - w)⁻¹ • f z) = f w := by |
have hR : 0 < R := not_le.mp (ball_eq_empty.not.mp (Set.nonempty_of_mem hw).ne_empty)
refine two_pi_I_inv_smul_circleIntegral_sub_inv_smul_of_differentiable_on_off_countable
countable_empty hw ?_ ?_
· simpa only [closure_ball c hR.ne.symm] using hf.continuousOn
· simpa only [diff_empty] using fun z hz => hf.differentiableAt isOpen_ball hz
|
import Mathlib.Algebra.Associated
import Mathlib.Algebra.Order.Monoid.Unbundled.Pow
import Mathlib.Algebra.Ring.Int
import Mathlib.Data.Nat.Factorial.Basic
import Mathlib.Data.Nat.GCD.Basic
import Mathlib.Order.Bounds.Basic
#align_import data.nat.prime from "leanprover-community/mathlib"@"8631e2d5ea77f6c13054d9151d82b83069680cb1"
open Bool Subtype
open Nat
namespace Nat
variable {n : ℕ}
-- Porting note (#11180): removed @[pp_nodot]
def Prime (p : ℕ) :=
Irreducible p
#align nat.prime Nat.Prime
theorem irreducible_iff_nat_prime (a : ℕ) : Irreducible a ↔ Nat.Prime a :=
Iff.rfl
#align irreducible_iff_nat_prime Nat.irreducible_iff_nat_prime
@[aesop safe destruct] theorem not_prime_zero : ¬Prime 0
| h => h.ne_zero rfl
#align nat.not_prime_zero Nat.not_prime_zero
@[aesop safe destruct] theorem not_prime_one : ¬Prime 1
| h => h.ne_one rfl
#align nat.not_prime_one Nat.not_prime_one
theorem Prime.ne_zero {n : ℕ} (h : Prime n) : n ≠ 0 :=
Irreducible.ne_zero h
#align nat.prime.ne_zero Nat.Prime.ne_zero
theorem Prime.pos {p : ℕ} (pp : Prime p) : 0 < p :=
Nat.pos_of_ne_zero pp.ne_zero
#align nat.prime.pos Nat.Prime.pos
theorem Prime.two_le : ∀ {p : ℕ}, Prime p → 2 ≤ p
| 0, h => (not_prime_zero h).elim
| 1, h => (not_prime_one h).elim
| _ + 2, _ => le_add_self
#align nat.prime.two_le Nat.Prime.two_le
theorem Prime.one_lt {p : ℕ} : Prime p → 1 < p :=
Prime.two_le
#align nat.prime.one_lt Nat.Prime.one_lt
lemma Prime.one_le {p : ℕ} (hp : p.Prime) : 1 ≤ p := hp.one_lt.le
instance Prime.one_lt' (p : ℕ) [hp : Fact p.Prime] : Fact (1 < p) :=
⟨hp.1.one_lt⟩
#align nat.prime.one_lt' Nat.Prime.one_lt'
theorem Prime.ne_one {p : ℕ} (hp : p.Prime) : p ≠ 1 :=
hp.one_lt.ne'
#align nat.prime.ne_one Nat.Prime.ne_one
theorem Prime.eq_one_or_self_of_dvd {p : ℕ} (pp : p.Prime) (m : ℕ) (hm : m ∣ p) :
m = 1 ∨ m = p := by
obtain ⟨n, hn⟩ := hm
have := pp.isUnit_or_isUnit hn
rw [Nat.isUnit_iff, Nat.isUnit_iff] at this
apply Or.imp_right _ this
rintro rfl
rw [hn, mul_one]
#align nat.prime.eq_one_or_self_of_dvd Nat.Prime.eq_one_or_self_of_dvd
theorem prime_def_lt'' {p : ℕ} : Prime p ↔ 2 ≤ p ∧ ∀ m, m ∣ p → m = 1 ∨ m = p := by
refine ⟨fun h => ⟨h.two_le, h.eq_one_or_self_of_dvd⟩, fun h => ?_⟩
-- Porting note: needed to make ℕ explicit
have h1 := (@one_lt_two ℕ ..).trans_le h.1
refine ⟨mt Nat.isUnit_iff.mp h1.ne', fun a b hab => ?_⟩
simp only [Nat.isUnit_iff]
apply Or.imp_right _ (h.2 a _)
· rintro rfl
rw [← mul_right_inj' (pos_of_gt h1).ne', ← hab, mul_one]
· rw [hab]
exact dvd_mul_right _ _
#align nat.prime_def_lt'' Nat.prime_def_lt''
theorem prime_def_lt {p : ℕ} : Prime p ↔ 2 ≤ p ∧ ∀ m < p, m ∣ p → m = 1 :=
prime_def_lt''.trans <|
and_congr_right fun p2 =>
forall_congr' fun _ =>
⟨fun h l d => (h d).resolve_right (ne_of_lt l), fun h d =>
(le_of_dvd (le_of_succ_le p2) d).lt_or_eq_dec.imp_left fun l => h l d⟩
#align nat.prime_def_lt Nat.prime_def_lt
theorem prime_def_lt' {p : ℕ} : Prime p ↔ 2 ≤ p ∧ ∀ m, 2 ≤ m → m < p → ¬m ∣ p :=
prime_def_lt.trans <|
and_congr_right fun p2 =>
forall_congr' fun m =>
⟨fun h m2 l d => not_lt_of_ge m2 ((h l d).symm ▸ by decide), fun h l d => by
rcases m with (_ | _ | m)
· rw [eq_zero_of_zero_dvd d] at p2
revert p2
decide
· rfl
· exact (h le_add_self l).elim d⟩
#align nat.prime_def_lt' Nat.prime_def_lt'
theorem prime_def_le_sqrt {p : ℕ} : Prime p ↔ 2 ≤ p ∧ ∀ m, 2 ≤ m → m ≤ sqrt p → ¬m ∣ p :=
prime_def_lt'.trans <|
and_congr_right fun p2 =>
⟨fun a m m2 l => a m m2 <| lt_of_le_of_lt l <| sqrt_lt_self p2, fun a =>
have : ∀ {m k : ℕ}, m ≤ k → 1 < m → p ≠ m * k := fun {m k} mk m1 e =>
a m m1 (le_sqrt.2 (e.symm ▸ Nat.mul_le_mul_left m mk)) ⟨k, e⟩
fun m m2 l ⟨k, e⟩ => by
rcases le_total m k with mk | km
· exact this mk m2 e
· rw [mul_comm] at e
refine this km (lt_of_mul_lt_mul_right ?_ (zero_le m)) e
rwa [one_mul, ← e]⟩
#align nat.prime_def_le_sqrt Nat.prime_def_le_sqrt
theorem prime_of_coprime (n : ℕ) (h1 : 1 < n) (h : ∀ m < n, m ≠ 0 → n.Coprime m) : Prime n := by
refine prime_def_lt.mpr ⟨h1, fun m mlt mdvd => ?_⟩
have hm : m ≠ 0 := by
rintro rfl
rw [zero_dvd_iff] at mdvd
exact mlt.ne' mdvd
exact (h m mlt hm).symm.eq_one_of_dvd mdvd
#align nat.prime_of_coprime Nat.prime_of_coprime
section
@[local instance]
def decidablePrime1 (p : ℕ) : Decidable (Prime p) :=
decidable_of_iff' _ prime_def_lt'
#align nat.decidable_prime_1 Nat.decidablePrime1
theorem prime_two : Prime 2 := by decide
#align nat.prime_two Nat.prime_two
theorem prime_three : Prime 3 := by decide
#align nat.prime_three Nat.prime_three
theorem prime_five : Prime 5 := by decide
theorem Prime.five_le_of_ne_two_of_ne_three {p : ℕ} (hp : p.Prime) (h_two : p ≠ 2)
(h_three : p ≠ 3) : 5 ≤ p := by
by_contra! h
revert h_two h_three hp
-- Porting note (#11043): was `decide!`
match p with
| 0 => decide
| 1 => decide
| 2 => decide
| 3 => decide
| 4 => decide
| n + 5 => exact (h.not_le le_add_self).elim
#align nat.prime.five_le_of_ne_two_of_ne_three Nat.Prime.five_le_of_ne_two_of_ne_three
end
theorem Prime.pred_pos {p : ℕ} (pp : Prime p) : 0 < pred p :=
lt_pred_iff.2 pp.one_lt
#align nat.prime.pred_pos Nat.Prime.pred_pos
theorem succ_pred_prime {p : ℕ} (pp : Prime p) : succ (pred p) = p :=
succ_pred_eq_of_pos pp.pos
#align nat.succ_pred_prime Nat.succ_pred_prime
theorem dvd_prime {p m : ℕ} (pp : Prime p) : m ∣ p ↔ m = 1 ∨ m = p :=
⟨fun d => pp.eq_one_or_self_of_dvd m d, fun h =>
h.elim (fun e => e.symm ▸ one_dvd _) fun e => e.symm ▸ dvd_rfl⟩
#align nat.dvd_prime Nat.dvd_prime
theorem dvd_prime_two_le {p m : ℕ} (pp : Prime p) (H : 2 ≤ m) : m ∣ p ↔ m = p :=
(dvd_prime pp).trans <| or_iff_right_of_imp <| Not.elim <| ne_of_gt H
#align nat.dvd_prime_two_le Nat.dvd_prime_two_le
theorem prime_dvd_prime_iff_eq {p q : ℕ} (pp : p.Prime) (qp : q.Prime) : p ∣ q ↔ p = q :=
dvd_prime_two_le qp (Prime.two_le pp)
#align nat.prime_dvd_prime_iff_eq Nat.prime_dvd_prime_iff_eq
theorem Prime.not_dvd_one {p : ℕ} (pp : Prime p) : ¬p ∣ 1 :=
Irreducible.not_dvd_one pp
#align nat.prime.not_dvd_one Nat.Prime.not_dvd_one
theorem prime_mul_iff {a b : ℕ} : Nat.Prime (a * b) ↔ a.Prime ∧ b = 1 ∨ b.Prime ∧ a = 1 := by
simp only [iff_self_iff, irreducible_mul_iff, ← irreducible_iff_nat_prime, Nat.isUnit_iff]
#align nat.prime_mul_iff Nat.prime_mul_iff
theorem not_prime_mul {a b : ℕ} (a1 : a ≠ 1) (b1 : b ≠ 1) : ¬Prime (a * b) := by
simp [prime_mul_iff, _root_.not_or, *]
#align nat.not_prime_mul Nat.not_prime_mul
theorem not_prime_mul' {a b n : ℕ} (h : a * b = n) (h₁ : a ≠ 1) (h₂ : b ≠ 1) : ¬Prime n :=
h ▸ not_prime_mul h₁ h₂
#align nat.not_prime_mul' Nat.not_prime_mul'
theorem Prime.dvd_iff_eq {p a : ℕ} (hp : p.Prime) (a1 : a ≠ 1) : a ∣ p ↔ p = a := by
refine ⟨?_, by rintro rfl; rfl⟩
rintro ⟨j, rfl⟩
rcases prime_mul_iff.mp hp with (⟨_, rfl⟩ | ⟨_, rfl⟩)
· exact mul_one _
· exact (a1 rfl).elim
#align nat.prime.dvd_iff_eq Nat.Prime.dvd_iff_eq
section MinFac
theorem minFac_lemma (n k : ℕ) (h : ¬n < k * k) : sqrt n - k < sqrt n + 2 - k :=
(tsub_lt_tsub_iff_right <| le_sqrt.2 <| le_of_not_gt h).2 <| Nat.lt_add_of_pos_right (by decide)
#align nat.min_fac_lemma Nat.minFac_lemma
@[semireducible] def minFacAux (n : ℕ) : ℕ → ℕ
| k =>
if n < k * k then n
else
if k ∣ n then k
else
minFacAux n (k + 2)
termination_by k => sqrt n + 2 - k
decreasing_by simp_wf; apply minFac_lemma n k; assumption
#align nat.min_fac_aux Nat.minFacAux
def minFac (n : ℕ) : ℕ :=
if 2 ∣ n then 2 else minFacAux n 3
#align nat.min_fac Nat.minFac
@[simp]
theorem minFac_zero : minFac 0 = 2 :=
rfl
#align nat.min_fac_zero Nat.minFac_zero
@[simp]
theorem minFac_one : minFac 1 = 1 := by
simp [minFac, minFacAux]
#align nat.min_fac_one Nat.minFac_one
@[simp]
| Mathlib/Data/Nat/Prime.lean | 284 | 285 | theorem minFac_two : minFac 2 = 2 := by |
simp [minFac, minFacAux]
|
import Mathlib.Analysis.InnerProductSpace.Dual
import Mathlib.Analysis.InnerProductSpace.Orientation
import Mathlib.Data.Complex.Orientation
import Mathlib.Tactic.LinearCombination
#align_import analysis.inner_product_space.two_dim from "leanprover-community/mathlib"@"cd8fafa2fac98e1a67097e8a91ad9901cfde48af"
noncomputable section
open scoped RealInnerProductSpace ComplexConjugate
open FiniteDimensional
lemma FiniteDimensional.of_fact_finrank_eq_two {K V : Type*} [DivisionRing K]
[AddCommGroup V] [Module K V] [Fact (finrank K V = 2)] : FiniteDimensional K V :=
.of_fact_finrank_eq_succ 1
attribute [local instance] FiniteDimensional.of_fact_finrank_eq_two
@[deprecated (since := "2024-02-02")]
alias FiniteDimensional.finiteDimensional_of_fact_finrank_eq_two :=
FiniteDimensional.of_fact_finrank_eq_two
variable {E : Type*} [NormedAddCommGroup E] [InnerProductSpace ℝ E] [Fact (finrank ℝ E = 2)]
(o : Orientation ℝ E (Fin 2))
namespace Orientation
irreducible_def areaForm : E →ₗ[ℝ] E →ₗ[ℝ] ℝ := by
let z : E [⋀^Fin 0]→ₗ[ℝ] ℝ ≃ₗ[ℝ] ℝ :=
AlternatingMap.constLinearEquivOfIsEmpty.symm
let y : E [⋀^Fin 1]→ₗ[ℝ] ℝ →ₗ[ℝ] E →ₗ[ℝ] ℝ :=
LinearMap.llcomp ℝ E (E [⋀^Fin 0]→ₗ[ℝ] ℝ) ℝ z ∘ₗ AlternatingMap.curryLeftLinearMap
exact y ∘ₗ AlternatingMap.curryLeftLinearMap (R' := ℝ) o.volumeForm
#align orientation.area_form Orientation.areaForm
local notation "ω" => o.areaForm
theorem areaForm_to_volumeForm (x y : E) : ω x y = o.volumeForm ![x, y] := by simp [areaForm]
#align orientation.area_form_to_volume_form Orientation.areaForm_to_volumeForm
@[simp]
theorem areaForm_apply_self (x : E) : ω x x = 0 := by
rw [areaForm_to_volumeForm]
refine o.volumeForm.map_eq_zero_of_eq ![x, x] ?_ (?_ : (0 : Fin 2) ≠ 1)
· simp
· norm_num
#align orientation.area_form_apply_self Orientation.areaForm_apply_self
theorem areaForm_swap (x y : E) : ω x y = -ω y x := by
simp only [areaForm_to_volumeForm]
convert o.volumeForm.map_swap ![y, x] (_ : (0 : Fin 2) ≠ 1)
· ext i
fin_cases i <;> rfl
· norm_num
#align orientation.area_form_swap Orientation.areaForm_swap
@[simp]
theorem areaForm_neg_orientation : (-o).areaForm = -o.areaForm := by
ext x y
simp [areaForm_to_volumeForm]
#align orientation.area_form_neg_orientation Orientation.areaForm_neg_orientation
def areaForm' : E →L[ℝ] E →L[ℝ] ℝ :=
LinearMap.toContinuousLinearMap
(↑(LinearMap.toContinuousLinearMap : (E →ₗ[ℝ] ℝ) ≃ₗ[ℝ] E →L[ℝ] ℝ) ∘ₗ o.areaForm)
#align orientation.area_form' Orientation.areaForm'
@[simp]
theorem areaForm'_apply (x : E) :
o.areaForm' x = LinearMap.toContinuousLinearMap (o.areaForm x) :=
rfl
#align orientation.area_form'_apply Orientation.areaForm'_apply
theorem abs_areaForm_le (x y : E) : |ω x y| ≤ ‖x‖ * ‖y‖ := by
simpa [areaForm_to_volumeForm, Fin.prod_univ_succ] using o.abs_volumeForm_apply_le ![x, y]
#align orientation.abs_area_form_le Orientation.abs_areaForm_le
theorem areaForm_le (x y : E) : ω x y ≤ ‖x‖ * ‖y‖ := by
simpa [areaForm_to_volumeForm, Fin.prod_univ_succ] using o.volumeForm_apply_le ![x, y]
#align orientation.area_form_le Orientation.areaForm_le
theorem abs_areaForm_of_orthogonal {x y : E} (h : ⟪x, y⟫ = 0) : |ω x y| = ‖x‖ * ‖y‖ := by
rw [o.areaForm_to_volumeForm, o.abs_volumeForm_apply_of_pairwise_orthogonal]
· simp [Fin.prod_univ_succ]
intro i j hij
fin_cases i <;> fin_cases j
· simp_all
· simpa using h
· simpa [real_inner_comm] using h
· simp_all
#align orientation.abs_area_form_of_orthogonal Orientation.abs_areaForm_of_orthogonal
theorem areaForm_map {F : Type*} [NormedAddCommGroup F] [InnerProductSpace ℝ F]
[hF : Fact (finrank ℝ F = 2)] (φ : E ≃ₗᵢ[ℝ] F) (x y : F) :
(Orientation.map (Fin 2) φ.toLinearEquiv o).areaForm x y =
o.areaForm (φ.symm x) (φ.symm y) := by
have : φ.symm ∘ ![x, y] = ![φ.symm x, φ.symm y] := by
ext i
fin_cases i <;> rfl
simp [areaForm_to_volumeForm, volumeForm_map, this]
#align orientation.area_form_map Orientation.areaForm_map
theorem areaForm_comp_linearIsometryEquiv (φ : E ≃ₗᵢ[ℝ] E)
(hφ : 0 < LinearMap.det (φ.toLinearEquiv : E →ₗ[ℝ] E)) (x y : E) :
o.areaForm (φ x) (φ y) = o.areaForm x y := by
convert o.areaForm_map φ (φ x) (φ y)
· symm
rwa [← o.map_eq_iff_det_pos φ.toLinearEquiv] at hφ
rw [@Fact.out (finrank ℝ E = 2), Fintype.card_fin]
· simp
· simp
#align orientation.area_form_comp_linear_isometry_equiv Orientation.areaForm_comp_linearIsometryEquiv
irreducible_def rightAngleRotationAux₁ : E →ₗ[ℝ] E :=
let to_dual : E ≃ₗ[ℝ] E →ₗ[ℝ] ℝ :=
(InnerProductSpace.toDual ℝ E).toLinearEquiv ≪≫ₗ LinearMap.toContinuousLinearMap.symm
↑to_dual.symm ∘ₗ ω
#align orientation.right_angle_rotation_aux₁ Orientation.rightAngleRotationAux₁
@[simp]
theorem inner_rightAngleRotationAux₁_left (x y : E) : ⟪o.rightAngleRotationAux₁ x, y⟫ = ω x y := by
-- Porting note: split `simp only` for greater proof control
simp only [rightAngleRotationAux₁, LinearEquiv.trans_symm, LinearIsometryEquiv.toLinearEquiv_symm,
LinearMap.coe_comp, LinearEquiv.coe_coe, Function.comp_apply, LinearEquiv.trans_apply,
LinearIsometryEquiv.coe_toLinearEquiv]
rw [InnerProductSpace.toDual_symm_apply]
norm_cast
#align orientation.inner_right_angle_rotation_aux₁_left Orientation.inner_rightAngleRotationAux₁_left
@[simp]
theorem inner_rightAngleRotationAux₁_right (x y : E) :
⟪x, o.rightAngleRotationAux₁ y⟫ = -ω x y := by
rw [real_inner_comm]
simp [o.areaForm_swap y x]
#align orientation.inner_right_angle_rotation_aux₁_right Orientation.inner_rightAngleRotationAux₁_right
def rightAngleRotationAux₂ : E →ₗᵢ[ℝ] E :=
{ o.rightAngleRotationAux₁ with
norm_map' := fun x => by
dsimp
refine le_antisymm ?_ ?_
· cases' eq_or_lt_of_le (norm_nonneg (o.rightAngleRotationAux₁ x)) with h h
· rw [← h]
positivity
refine le_of_mul_le_mul_right ?_ h
rw [← real_inner_self_eq_norm_mul_norm, o.inner_rightAngleRotationAux₁_left]
exact o.areaForm_le x (o.rightAngleRotationAux₁ x)
· let K : Submodule ℝ E := ℝ ∙ x
have : Nontrivial Kᗮ := by
apply @FiniteDimensional.nontrivial_of_finrank_pos ℝ
have : finrank ℝ K ≤ Finset.card {x} := by
rw [← Set.toFinset_singleton]
exact finrank_span_le_card ({x} : Set E)
have : Finset.card {x} = 1 := Finset.card_singleton x
have : finrank ℝ K + finrank ℝ Kᗮ = finrank ℝ E := K.finrank_add_finrank_orthogonal
have : finrank ℝ E = 2 := Fact.out
linarith
obtain ⟨w, hw₀⟩ : ∃ w : Kᗮ, w ≠ 0 := exists_ne 0
have hw' : ⟪x, (w : E)⟫ = 0 := Submodule.mem_orthogonal_singleton_iff_inner_right.mp w.2
have hw : (w : E) ≠ 0 := fun h => hw₀ (Submodule.coe_eq_zero.mp h)
refine le_of_mul_le_mul_right ?_ (by rwa [norm_pos_iff] : 0 < ‖(w : E)‖)
rw [← o.abs_areaForm_of_orthogonal hw']
rw [← o.inner_rightAngleRotationAux₁_left x w]
exact abs_real_inner_le_norm (o.rightAngleRotationAux₁ x) w }
#align orientation.right_angle_rotation_aux₂ Orientation.rightAngleRotationAux₂
@[simp]
theorem rightAngleRotationAux₁_rightAngleRotationAux₁ (x : E) :
o.rightAngleRotationAux₁ (o.rightAngleRotationAux₁ x) = -x := by
apply ext_inner_left ℝ
intro y
have : ⟪o.rightAngleRotationAux₁ y, o.rightAngleRotationAux₁ x⟫ = ⟪y, x⟫ :=
LinearIsometry.inner_map_map o.rightAngleRotationAux₂ y x
rw [o.inner_rightAngleRotationAux₁_right, ← o.inner_rightAngleRotationAux₁_left, this,
inner_neg_right]
#align orientation.right_angle_rotation_aux₁_right_angle_rotation_aux₁ Orientation.rightAngleRotationAux₁_rightAngleRotationAux₁
irreducible_def rightAngleRotation : E ≃ₗᵢ[ℝ] E :=
LinearIsometryEquiv.ofLinearIsometry o.rightAngleRotationAux₂ (-o.rightAngleRotationAux₁)
(by ext; simp [rightAngleRotationAux₂]) (by ext; simp [rightAngleRotationAux₂])
#align orientation.right_angle_rotation Orientation.rightAngleRotation
local notation "J" => o.rightAngleRotation
@[simp]
theorem inner_rightAngleRotation_left (x y : E) : ⟪J x, y⟫ = ω x y := by
rw [rightAngleRotation]
exact o.inner_rightAngleRotationAux₁_left x y
#align orientation.inner_right_angle_rotation_left Orientation.inner_rightAngleRotation_left
@[simp]
theorem inner_rightAngleRotation_right (x y : E) : ⟪x, J y⟫ = -ω x y := by
rw [rightAngleRotation]
exact o.inner_rightAngleRotationAux₁_right x y
#align orientation.inner_right_angle_rotation_right Orientation.inner_rightAngleRotation_right
@[simp]
theorem rightAngleRotation_rightAngleRotation (x : E) : J (J x) = -x := by
rw [rightAngleRotation]
exact o.rightAngleRotationAux₁_rightAngleRotationAux₁ x
#align orientation.right_angle_rotation_right_angle_rotation Orientation.rightAngleRotation_rightAngleRotation
@[simp]
theorem rightAngleRotation_symm :
LinearIsometryEquiv.symm J = LinearIsometryEquiv.trans J (LinearIsometryEquiv.neg ℝ) := by
rw [rightAngleRotation]
exact LinearIsometryEquiv.toLinearIsometry_injective rfl
#align orientation.right_angle_rotation_symm Orientation.rightAngleRotation_symm
-- @[simp] -- Porting note (#10618): simp already proves this
theorem inner_rightAngleRotation_self (x : E) : ⟪J x, x⟫ = 0 := by simp
#align orientation.inner_right_angle_rotation_self Orientation.inner_rightAngleRotation_self
theorem inner_rightAngleRotation_swap (x y : E) : ⟪x, J y⟫ = -⟪J x, y⟫ := by simp
#align orientation.inner_right_angle_rotation_swap Orientation.inner_rightAngleRotation_swap
theorem inner_rightAngleRotation_swap' (x y : E) : ⟪J x, y⟫ = -⟪x, J y⟫ := by
simp [o.inner_rightAngleRotation_swap x y]
#align orientation.inner_right_angle_rotation_swap' Orientation.inner_rightAngleRotation_swap'
theorem inner_comp_rightAngleRotation (x y : E) : ⟪J x, J y⟫ = ⟪x, y⟫ :=
LinearIsometryEquiv.inner_map_map J x y
#align orientation.inner_comp_right_angle_rotation Orientation.inner_comp_rightAngleRotation
@[simp]
theorem areaForm_rightAngleRotation_left (x y : E) : ω (J x) y = -⟪x, y⟫ := by
rw [← o.inner_comp_rightAngleRotation, o.inner_rightAngleRotation_right, neg_neg]
#align orientation.area_form_right_angle_rotation_left Orientation.areaForm_rightAngleRotation_left
@[simp]
theorem areaForm_rightAngleRotation_right (x y : E) : ω x (J y) = ⟪x, y⟫ := by
rw [← o.inner_rightAngleRotation_left, o.inner_comp_rightAngleRotation]
#align orientation.area_form_right_angle_rotation_right Orientation.areaForm_rightAngleRotation_right
-- @[simp] -- Porting note (#10618): simp already proves this
theorem areaForm_comp_rightAngleRotation (x y : E) : ω (J x) (J y) = ω x y := by simp
#align orientation.area_form_comp_right_angle_rotation Orientation.areaForm_comp_rightAngleRotation
@[simp]
theorem rightAngleRotation_trans_rightAngleRotation :
LinearIsometryEquiv.trans J J = LinearIsometryEquiv.neg ℝ := by ext; simp
#align orientation.right_angle_rotation_trans_right_angle_rotation Orientation.rightAngleRotation_trans_rightAngleRotation
theorem rightAngleRotation_neg_orientation (x : E) :
(-o).rightAngleRotation x = -o.rightAngleRotation x := by
apply ext_inner_right ℝ
intro y
rw [inner_rightAngleRotation_left]
simp
#align orientation.right_angle_rotation_neg_orientation Orientation.rightAngleRotation_neg_orientation
@[simp]
theorem rightAngleRotation_trans_neg_orientation :
(-o).rightAngleRotation = o.rightAngleRotation.trans (LinearIsometryEquiv.neg ℝ) :=
LinearIsometryEquiv.ext <| o.rightAngleRotation_neg_orientation
#align orientation.right_angle_rotation_trans_neg_orientation Orientation.rightAngleRotation_trans_neg_orientation
theorem rightAngleRotation_map {F : Type*} [NormedAddCommGroup F] [InnerProductSpace ℝ F]
[hF : Fact (finrank ℝ F = 2)] (φ : E ≃ₗᵢ[ℝ] F) (x : F) :
(Orientation.map (Fin 2) φ.toLinearEquiv o).rightAngleRotation x =
φ (o.rightAngleRotation (φ.symm x)) := by
apply ext_inner_right ℝ
intro y
rw [inner_rightAngleRotation_left]
trans ⟪J (φ.symm x), φ.symm y⟫
· simp [o.areaForm_map]
trans ⟪φ (J (φ.symm x)), φ (φ.symm y)⟫
· rw [φ.inner_map_map]
· simp
#align orientation.right_angle_rotation_map Orientation.rightAngleRotation_map
theorem linearIsometryEquiv_comp_rightAngleRotation (φ : E ≃ₗᵢ[ℝ] E)
(hφ : 0 < LinearMap.det (φ.toLinearEquiv : E →ₗ[ℝ] E)) (x : E) : φ (J x) = J (φ x) := by
convert (o.rightAngleRotation_map φ (φ x)).symm
· simp
· symm
rwa [← o.map_eq_iff_det_pos φ.toLinearEquiv] at hφ
rw [@Fact.out (finrank ℝ E = 2), Fintype.card_fin]
#align orientation.linear_isometry_equiv_comp_right_angle_rotation Orientation.linearIsometryEquiv_comp_rightAngleRotation
theorem rightAngleRotation_map' {F : Type*} [NormedAddCommGroup F] [InnerProductSpace ℝ F]
[Fact (finrank ℝ F = 2)] (φ : E ≃ₗᵢ[ℝ] F) :
(Orientation.map (Fin 2) φ.toLinearEquiv o).rightAngleRotation =
(φ.symm.trans o.rightAngleRotation).trans φ :=
LinearIsometryEquiv.ext <| o.rightAngleRotation_map φ
#align orientation.right_angle_rotation_map' Orientation.rightAngleRotation_map'
theorem linearIsometryEquiv_comp_rightAngleRotation' (φ : E ≃ₗᵢ[ℝ] E)
(hφ : 0 < LinearMap.det (φ.toLinearEquiv : E →ₗ[ℝ] E)) :
LinearIsometryEquiv.trans J φ = φ.trans J :=
LinearIsometryEquiv.ext <| o.linearIsometryEquiv_comp_rightAngleRotation φ hφ
#align orientation.linear_isometry_equiv_comp_right_angle_rotation' Orientation.linearIsometryEquiv_comp_rightAngleRotation'
def basisRightAngleRotation (x : E) (hx : x ≠ 0) : Basis (Fin 2) ℝ E :=
@basisOfLinearIndependentOfCardEqFinrank ℝ _ _ _ _ _ _ _ ![x, J x]
(linearIndependent_of_ne_zero_of_inner_eq_zero (fun i => by fin_cases i <;> simp [hx])
(by
intro i j hij
fin_cases i <;> fin_cases j <;> simp_all))
(@Fact.out (finrank ℝ E = 2)).symm
#align orientation.basis_right_angle_rotation Orientation.basisRightAngleRotation
@[simp]
theorem coe_basisRightAngleRotation (x : E) (hx : x ≠ 0) :
⇑(o.basisRightAngleRotation x hx) = ![x, J x] :=
coe_basisOfLinearIndependentOfCardEqFinrank _ _
#align orientation.coe_basis_right_angle_rotation Orientation.coe_basisRightAngleRotation
theorem inner_mul_inner_add_areaForm_mul_areaForm' (a x : E) :
⟪a, x⟫ • innerₛₗ ℝ a + ω a x • ω a = ‖a‖ ^ 2 • innerₛₗ ℝ x := by
by_cases ha : a = 0
· simp [ha]
apply (o.basisRightAngleRotation a ha).ext
intro i
fin_cases i
· simp only [Fin.mk_zero, coe_basisRightAngleRotation, Matrix.cons_val_zero, LinearMap.add_apply,
LinearMap.smul_apply, innerₛₗ_apply, real_inner_self_eq_norm_sq, smul_eq_mul,
areaForm_apply_self, mul_zero, add_zero, Real.rpow_two, real_inner_comm]
ring
· simp only [Fin.mk_one, coe_basisRightAngleRotation, Matrix.cons_val_one, Matrix.head_cons,
LinearMap.add_apply, LinearMap.smul_apply, innerₛₗ_apply, inner_rightAngleRotation_right,
areaForm_apply_self, neg_zero, smul_eq_mul, mul_zero, areaForm_rightAngleRotation_right,
real_inner_self_eq_norm_sq, zero_add, Real.rpow_two, mul_neg]
rw [o.areaForm_swap]
ring
#align orientation.inner_mul_inner_add_area_form_mul_area_form' Orientation.inner_mul_inner_add_areaForm_mul_areaForm'
theorem inner_mul_inner_add_areaForm_mul_areaForm (a x y : E) :
⟪a, x⟫ * ⟪a, y⟫ + ω a x * ω a y = ‖a‖ ^ 2 * ⟪x, y⟫ :=
congr_arg (fun f : E →ₗ[ℝ] ℝ => f y) (o.inner_mul_inner_add_areaForm_mul_areaForm' a x)
#align orientation.inner_mul_inner_add_area_form_mul_area_form Orientation.inner_mul_inner_add_areaForm_mul_areaForm
theorem inner_sq_add_areaForm_sq (a b : E) : ⟪a, b⟫ ^ 2 + ω a b ^ 2 = ‖a‖ ^ 2 * ‖b‖ ^ 2 := by
simpa [sq, real_inner_self_eq_norm_sq] using o.inner_mul_inner_add_areaForm_mul_areaForm a b b
#align orientation.inner_sq_add_area_form_sq Orientation.inner_sq_add_areaForm_sq
theorem inner_mul_areaForm_sub' (a x : E) : ⟪a, x⟫ • ω a - ω a x • innerₛₗ ℝ a = ‖a‖ ^ 2 • ω x := by
by_cases ha : a = 0
· simp [ha]
apply (o.basisRightAngleRotation a ha).ext
intro i
fin_cases i
· simp only [o.areaForm_swap a x, neg_smul, sub_neg_eq_add, Fin.mk_zero,
coe_basisRightAngleRotation, Matrix.cons_val_zero, LinearMap.add_apply, LinearMap.smul_apply,
areaForm_apply_self, smul_eq_mul, mul_zero, innerₛₗ_apply, real_inner_self_eq_norm_sq,
zero_add, Real.rpow_two]
ring
· simp only [Fin.mk_one, coe_basisRightAngleRotation, Matrix.cons_val_one, Matrix.head_cons,
LinearMap.sub_apply, LinearMap.smul_apply, areaForm_rightAngleRotation_right,
real_inner_self_eq_norm_sq, smul_eq_mul, innerₛₗ_apply, inner_rightAngleRotation_right,
areaForm_apply_self, neg_zero, mul_zero, sub_zero, Real.rpow_two, real_inner_comm]
ring
#align orientation.inner_mul_area_form_sub' Orientation.inner_mul_areaForm_sub'
theorem inner_mul_areaForm_sub (a x y : E) : ⟪a, x⟫ * ω a y - ω a x * ⟪a, y⟫ = ‖a‖ ^ 2 * ω x y :=
congr_arg (fun f : E →ₗ[ℝ] ℝ => f y) (o.inner_mul_areaForm_sub' a x)
#align orientation.inner_mul_area_form_sub Orientation.inner_mul_areaForm_sub
theorem nonneg_inner_and_areaForm_eq_zero_iff_sameRay (x y : E) :
0 ≤ ⟪x, y⟫ ∧ ω x y = 0 ↔ SameRay ℝ x y := by
by_cases hx : x = 0
· simp [hx]
constructor
· let a : ℝ := (o.basisRightAngleRotation x hx).repr y 0
let b : ℝ := (o.basisRightAngleRotation x hx).repr y 1
suffices ↑0 ≤ a * ‖x‖ ^ 2 ∧ b * ‖x‖ ^ 2 = 0 → SameRay ℝ x (a • x + b • J x) by
rw [← (o.basisRightAngleRotation x hx).sum_repr y]
simp only [Fin.sum_univ_succ, coe_basisRightAngleRotation, Matrix.cons_val_zero,
Fin.succ_zero_eq_one', Finset.univ_eq_empty, Finset.sum_empty, areaForm_apply_self,
map_smul, map_add, real_inner_smul_right, inner_add_right, Matrix.cons_val_one,
Matrix.head_cons, Algebra.id.smul_eq_mul, areaForm_rightAngleRotation_right,
mul_zero, add_zero, zero_add, neg_zero, inner_rightAngleRotation_right,
real_inner_self_eq_norm_sq, zero_smul, one_smul]
exact this
rintro ⟨ha, hb⟩
have hx' : 0 < ‖x‖ := by simpa using hx
have ha' : 0 ≤ a := nonneg_of_mul_nonneg_left ha (by positivity)
have hb' : b = 0 := eq_zero_of_ne_zero_of_mul_right_eq_zero (pow_ne_zero 2 hx'.ne') hb
exact (SameRay.sameRay_nonneg_smul_right x ha').add_right $ by simp [hb']
· intro h
obtain ⟨r, hr, rfl⟩ := h.exists_nonneg_left hx
simp only [inner_smul_right, real_inner_self_eq_norm_sq, LinearMap.map_smulₛₗ,
areaForm_apply_self, Algebra.id.smul_eq_mul, mul_zero, eq_self_iff_true,
and_true_iff]
positivity
#align orientation.nonneg_inner_and_area_form_eq_zero_iff_same_ray Orientation.nonneg_inner_and_areaForm_eq_zero_iff_sameRay
def kahler : E →ₗ[ℝ] E →ₗ[ℝ] ℂ :=
LinearMap.llcomp ℝ E ℝ ℂ Complex.ofRealCLM ∘ₗ innerₛₗ ℝ +
LinearMap.llcomp ℝ E ℝ ℂ ((LinearMap.lsmul ℝ ℂ).flip Complex.I) ∘ₗ ω
#align orientation.kahler Orientation.kahler
theorem kahler_apply_apply (x y : E) : o.kahler x y = ⟪x, y⟫ + ω x y • Complex.I :=
rfl
#align orientation.kahler_apply_apply Orientation.kahler_apply_apply
theorem kahler_swap (x y : E) : o.kahler x y = conj (o.kahler y x) := by
have : ∀ r : ℝ, Complex.ofReal' r = @RCLike.ofReal ℂ _ r := fun r => rfl
simp only [kahler_apply_apply]
rw [real_inner_comm, areaForm_swap]
simp [this]
#align orientation.kahler_swap Orientation.kahler_swap
@[simp]
theorem kahler_apply_self (x : E) : o.kahler x x = ‖x‖ ^ 2 := by
simp [kahler_apply_apply, real_inner_self_eq_norm_sq]
#align orientation.kahler_apply_self Orientation.kahler_apply_self
@[simp]
theorem kahler_rightAngleRotation_left (x y : E) :
o.kahler (J x) y = -Complex.I * o.kahler x y := by
simp only [o.areaForm_rightAngleRotation_left, o.inner_rightAngleRotation_left,
o.kahler_apply_apply, Complex.ofReal_neg, Complex.real_smul]
linear_combination ω x y * Complex.I_sq
#align orientation.kahler_right_angle_rotation_left Orientation.kahler_rightAngleRotation_left
@[simp]
theorem kahler_rightAngleRotation_right (x y : E) :
o.kahler x (J y) = Complex.I * o.kahler x y := by
simp only [o.areaForm_rightAngleRotation_right, o.inner_rightAngleRotation_right,
o.kahler_apply_apply, Complex.ofReal_neg, Complex.real_smul]
linear_combination -ω x y * Complex.I_sq
#align orientation.kahler_right_angle_rotation_right Orientation.kahler_rightAngleRotation_right
-- @[simp] -- Porting note: simp normal form is `kahler_comp_rightAngleRotation'`
| Mathlib/Analysis/InnerProductSpace/TwoDim.lean | 516 | 518 | theorem kahler_comp_rightAngleRotation (x y : E) : o.kahler (J x) (J y) = o.kahler x y := by |
simp only [kahler_rightAngleRotation_left, kahler_rightAngleRotation_right]
linear_combination -o.kahler x y * Complex.I_sq
|
import Mathlib.Algebra.BigOperators.Intervals
import Mathlib.Algebra.BigOperators.Ring.List
import Mathlib.Data.Int.ModEq
import Mathlib.Data.Nat.Bits
import Mathlib.Data.Nat.Log
import Mathlib.Data.List.Indexes
import Mathlib.Data.List.Palindrome
import Mathlib.Tactic.IntervalCases
import Mathlib.Tactic.Linarith
import Mathlib.Tactic.Ring
#align_import data.nat.digits from "leanprover-community/mathlib"@"369525b73f229ccd76a6ec0e0e0bf2be57599768"
namespace Nat
variable {n : ℕ}
def digitsAux0 : ℕ → List ℕ
| 0 => []
| n + 1 => [n + 1]
#align nat.digits_aux_0 Nat.digitsAux0
def digitsAux1 (n : ℕ) : List ℕ :=
List.replicate n 1
#align nat.digits_aux_1 Nat.digitsAux1
def digitsAux (b : ℕ) (h : 2 ≤ b) : ℕ → List ℕ
| 0 => []
| n + 1 =>
((n + 1) % b) :: digitsAux b h ((n + 1) / b)
decreasing_by exact Nat.div_lt_self (Nat.succ_pos _) h
#align nat.digits_aux Nat.digitsAux
@[simp]
theorem digitsAux_zero (b : ℕ) (h : 2 ≤ b) : digitsAux b h 0 = [] := by rw [digitsAux]
#align nat.digits_aux_zero Nat.digitsAux_zero
theorem digitsAux_def (b : ℕ) (h : 2 ≤ b) (n : ℕ) (w : 0 < n) :
digitsAux b h n = (n % b) :: digitsAux b h (n / b) := by
cases n
· cases w
· rw [digitsAux]
#align nat.digits_aux_def Nat.digitsAux_def
def digits : ℕ → ℕ → List ℕ
| 0 => digitsAux0
| 1 => digitsAux1
| b + 2 => digitsAux (b + 2) (by norm_num)
#align nat.digits Nat.digits
@[simp]
theorem digits_zero (b : ℕ) : digits b 0 = [] := by
rcases b with (_ | ⟨_ | ⟨_⟩⟩) <;> simp [digits, digitsAux0, digitsAux1]
#align nat.digits_zero Nat.digits_zero
-- @[simp] -- Porting note (#10618): simp can prove this
theorem digits_zero_zero : digits 0 0 = [] :=
rfl
#align nat.digits_zero_zero Nat.digits_zero_zero
@[simp]
theorem digits_zero_succ (n : ℕ) : digits 0 n.succ = [n + 1] :=
rfl
#align nat.digits_zero_succ Nat.digits_zero_succ
theorem digits_zero_succ' : ∀ {n : ℕ}, n ≠ 0 → digits 0 n = [n]
| 0, h => (h rfl).elim
| _ + 1, _ => rfl
#align nat.digits_zero_succ' Nat.digits_zero_succ'
@[simp]
theorem digits_one (n : ℕ) : digits 1 n = List.replicate n 1 :=
rfl
#align nat.digits_one Nat.digits_one
-- @[simp] -- Porting note (#10685): dsimp can prove this
theorem digits_one_succ (n : ℕ) : digits 1 (n + 1) = 1 :: digits 1 n :=
rfl
#align nat.digits_one_succ Nat.digits_one_succ
theorem digits_add_two_add_one (b n : ℕ) :
digits (b + 2) (n + 1) = ((n + 1) % (b + 2)) :: digits (b + 2) ((n + 1) / (b + 2)) := by
simp [digits, digitsAux_def]
#align nat.digits_add_two_add_one Nat.digits_add_two_add_one
@[simp]
lemma digits_of_two_le_of_pos {b : ℕ} (hb : 2 ≤ b) (hn : 0 < n) :
Nat.digits b n = n % b :: Nat.digits b (n / b) := by
rw [Nat.eq_add_of_sub_eq hb rfl, Nat.eq_add_of_sub_eq hn rfl, Nat.digits_add_two_add_one]
theorem digits_def' :
∀ {b : ℕ} (_ : 1 < b) {n : ℕ} (_ : 0 < n), digits b n = (n % b) :: digits b (n / b)
| 0, h => absurd h (by decide)
| 1, h => absurd h (by decide)
| b + 2, _ => digitsAux_def _ (by simp) _
#align nat.digits_def' Nat.digits_def'
@[simp]
theorem digits_of_lt (b x : ℕ) (hx : x ≠ 0) (hxb : x < b) : digits b x = [x] := by
rcases exists_eq_succ_of_ne_zero hx with ⟨x, rfl⟩
rcases Nat.exists_eq_add_of_le' ((Nat.le_add_left 1 x).trans_lt hxb) with ⟨b, rfl⟩
rw [digits_add_two_add_one, div_eq_of_lt hxb, digits_zero, mod_eq_of_lt hxb]
#align nat.digits_of_lt Nat.digits_of_lt
theorem digits_add (b : ℕ) (h : 1 < b) (x y : ℕ) (hxb : x < b) (hxy : x ≠ 0 ∨ y ≠ 0) :
digits b (x + b * y) = x :: digits b y := by
rcases Nat.exists_eq_add_of_le' h with ⟨b, rfl : _ = _ + 2⟩
cases y
· simp [hxb, hxy.resolve_right (absurd rfl)]
dsimp [digits]
rw [digitsAux_def]
· congr
· simp [Nat.add_mod, mod_eq_of_lt hxb]
· simp [add_mul_div_left, div_eq_of_lt hxb]
· apply Nat.succ_pos
#align nat.digits_add Nat.digits_add
-- If we had a function converting a list into a polynomial,
-- and appropriate lemmas about that function,
-- we could rewrite this in terms of that.
def ofDigits {α : Type*} [Semiring α] (b : α) : List ℕ → α
| [] => 0
| h :: t => h + b * ofDigits b t
#align nat.of_digits Nat.ofDigits
theorem ofDigits_eq_foldr {α : Type*} [Semiring α] (b : α) (L : List ℕ) :
ofDigits b L = List.foldr (fun x y => ↑x + b * y) 0 L := by
induction' L with d L ih
· rfl
· dsimp [ofDigits]
rw [ih]
#align nat.of_digits_eq_foldr Nat.ofDigits_eq_foldr
theorem ofDigits_eq_sum_map_with_index_aux (b : ℕ) (l : List ℕ) :
((List.range l.length).zipWith ((fun i a : ℕ => a * b ^ (i + 1))) l).sum =
b * ((List.range l.length).zipWith (fun i a => a * b ^ i) l).sum := by
suffices
(List.range l.length).zipWith (fun i a : ℕ => a * b ^ (i + 1)) l =
(List.range l.length).zipWith (fun i a => b * (a * b ^ i)) l
by simp [this]
congr; ext; simp [pow_succ]; ring
#align nat.of_digits_eq_sum_map_with_index_aux Nat.ofDigits_eq_sum_map_with_index_aux
theorem ofDigits_eq_sum_mapIdx (b : ℕ) (L : List ℕ) :
ofDigits b L = (L.mapIdx fun i a => a * b ^ i).sum := by
rw [List.mapIdx_eq_enum_map, List.enum_eq_zip_range, List.map_uncurry_zip_eq_zipWith,
ofDigits_eq_foldr]
induction' L with hd tl hl
· simp
· simpa [List.range_succ_eq_map, List.zipWith_map_left, ofDigits_eq_sum_map_with_index_aux] using
Or.inl hl
#align nat.of_digits_eq_sum_map_with_index Nat.ofDigits_eq_sum_mapIdx
@[simp]
theorem ofDigits_nil {b : ℕ} : ofDigits b [] = 0 := rfl
@[simp]
theorem ofDigits_singleton {b n : ℕ} : ofDigits b [n] = n := by simp [ofDigits]
#align nat.of_digits_singleton Nat.ofDigits_singleton
@[simp]
theorem ofDigits_one_cons {α : Type*} [Semiring α] (h : ℕ) (L : List ℕ) :
ofDigits (1 : α) (h :: L) = h + ofDigits 1 L := by simp [ofDigits]
#align nat.of_digits_one_cons Nat.ofDigits_one_cons
theorem ofDigits_cons {b hd} {tl : List ℕ} :
ofDigits b (hd :: tl) = hd + b * ofDigits b tl := rfl
theorem ofDigits_append {b : ℕ} {l1 l2 : List ℕ} :
ofDigits b (l1 ++ l2) = ofDigits b l1 + b ^ l1.length * ofDigits b l2 := by
induction' l1 with hd tl IH
· simp [ofDigits]
· rw [ofDigits, List.cons_append, ofDigits, IH, List.length_cons, pow_succ']
ring
#align nat.of_digits_append Nat.ofDigits_append
@[norm_cast]
theorem coe_ofDigits (α : Type*) [Semiring α] (b : ℕ) (L : List ℕ) :
((ofDigits b L : ℕ) : α) = ofDigits (b : α) L := by
induction' L with d L ih
· simp [ofDigits]
· dsimp [ofDigits]; push_cast; rw [ih]
#align nat.coe_of_digits Nat.coe_ofDigits
@[norm_cast]
theorem coe_int_ofDigits (b : ℕ) (L : List ℕ) : ((ofDigits b L : ℕ) : ℤ) = ofDigits (b : ℤ) L := by
induction' L with d L _
· rfl
· dsimp [ofDigits]; push_cast; simp only
#align nat.coe_int_of_digits Nat.coe_int_ofDigits
theorem digits_zero_of_eq_zero {b : ℕ} (h : b ≠ 0) :
∀ {L : List ℕ} (_ : ofDigits b L = 0), ∀ l ∈ L, l = 0
| _ :: _, h0, _, List.Mem.head .. => Nat.eq_zero_of_add_eq_zero_right h0
| _ :: _, h0, _, List.Mem.tail _ hL =>
digits_zero_of_eq_zero h (mul_right_injective₀ h (Nat.eq_zero_of_add_eq_zero_left h0)) _ hL
#align nat.digits_zero_of_eq_zero Nat.digits_zero_of_eq_zero
theorem digits_ofDigits (b : ℕ) (h : 1 < b) (L : List ℕ) (w₁ : ∀ l ∈ L, l < b)
(w₂ : ∀ h : L ≠ [], L.getLast h ≠ 0) : digits b (ofDigits b L) = L := by
induction' L with d L ih
· dsimp [ofDigits]
simp
· dsimp [ofDigits]
replace w₂ := w₂ (by simp)
rw [digits_add b h]
· rw [ih]
· intro l m
apply w₁
exact List.mem_cons_of_mem _ m
· intro h
rw [List.getLast_cons h] at w₂
convert w₂
· exact w₁ d (List.mem_cons_self _ _)
· by_cases h' : L = []
· rcases h' with rfl
left
simpa using w₂
· right
contrapose! w₂
refine digits_zero_of_eq_zero h.ne_bot w₂ _ ?_
rw [List.getLast_cons h']
exact List.getLast_mem h'
#align nat.digits_of_digits Nat.digits_ofDigits
theorem ofDigits_digits (b n : ℕ) : ofDigits b (digits b n) = n := by
cases' b with b
· cases' n with n
· rfl
· change ofDigits 0 [n + 1] = n + 1
dsimp [ofDigits]
· cases' b with b
· induction' n with n ih
· rfl
· rw [Nat.zero_add] at ih ⊢
simp only [ih, add_comm 1, ofDigits_one_cons, Nat.cast_id, digits_one_succ]
· apply Nat.strongInductionOn n _
clear n
intro n h
cases n
· rw [digits_zero]
rfl
· simp only [Nat.succ_eq_add_one, digits_add_two_add_one]
dsimp [ofDigits]
rw [h _ (Nat.div_lt_self' _ b)]
rw [Nat.mod_add_div]
#align nat.of_digits_digits Nat.ofDigits_digits
theorem ofDigits_one (L : List ℕ) : ofDigits 1 L = L.sum := by
induction' L with _ _ ih
· rfl
· simp [ofDigits, List.sum_cons, ih]
#align nat.of_digits_one Nat.ofDigits_one
theorem digits_eq_nil_iff_eq_zero {b n : ℕ} : digits b n = [] ↔ n = 0 := by
constructor
· intro h
have : ofDigits b (digits b n) = ofDigits b [] := by rw [h]
convert this
rw [ofDigits_digits]
· rintro rfl
simp
#align nat.digits_eq_nil_iff_eq_zero Nat.digits_eq_nil_iff_eq_zero
theorem digits_ne_nil_iff_ne_zero {b n : ℕ} : digits b n ≠ [] ↔ n ≠ 0 :=
not_congr digits_eq_nil_iff_eq_zero
#align nat.digits_ne_nil_iff_ne_zero Nat.digits_ne_nil_iff_ne_zero
theorem digits_eq_cons_digits_div {b n : ℕ} (h : 1 < b) (w : n ≠ 0) :
digits b n = (n % b) :: digits b (n / b) := by
rcases b with (_ | _ | b)
· rw [digits_zero_succ' w, Nat.mod_zero, Nat.div_zero, Nat.digits_zero_zero]
· norm_num at h
rcases n with (_ | n)
· norm_num at w
· simp only [digits_add_two_add_one, ne_eq]
#align nat.digits_eq_cons_digits_div Nat.digits_eq_cons_digits_div
theorem digits_getLast {b : ℕ} (m : ℕ) (h : 1 < b) (p q) :
(digits b m).getLast p = (digits b (m / b)).getLast q := by
by_cases hm : m = 0
· simp [hm]
simp only [digits_eq_cons_digits_div h hm]
rw [List.getLast_cons]
#align nat.digits_last Nat.digits_getLast
theorem digits.injective (b : ℕ) : Function.Injective b.digits :=
Function.LeftInverse.injective (ofDigits_digits b)
#align nat.digits.injective Nat.digits.injective
@[simp]
theorem digits_inj_iff {b n m : ℕ} : b.digits n = b.digits m ↔ n = m :=
(digits.injective b).eq_iff
#align nat.digits_inj_iff Nat.digits_inj_iff
theorem digits_len (b n : ℕ) (hb : 1 < b) (hn : n ≠ 0) : (b.digits n).length = b.log n + 1 := by
induction' n using Nat.strong_induction_on with n IH
rw [digits_eq_cons_digits_div hb hn, List.length]
by_cases h : n / b = 0
· have hb0 : b ≠ 0 := (Nat.succ_le_iff.1 hb).ne_bot
simp [h, log_eq_zero_iff, ← Nat.div_eq_zero_iff hb0.bot_lt]
· have : n / b < n := div_lt_self (Nat.pos_of_ne_zero hn) hb
rw [IH _ this h, log_div_base, tsub_add_cancel_of_le]
refine Nat.succ_le_of_lt (log_pos hb ?_)
contrapose! h
exact div_eq_of_lt h
#align nat.digits_len Nat.digits_len
theorem getLast_digit_ne_zero (b : ℕ) {m : ℕ} (hm : m ≠ 0) :
(digits b m).getLast (digits_ne_nil_iff_ne_zero.mpr hm) ≠ 0 := by
rcases b with (_ | _ | b)
· cases m
· cases hm rfl
· simp
· cases m
· cases hm rfl
rename ℕ => m
simp only [zero_add, digits_one, List.getLast_replicate_succ m 1]
exact Nat.one_ne_zero
revert hm
apply Nat.strongInductionOn m
intro n IH hn
by_cases hnb : n < b + 2
· simpa only [digits_of_lt (b + 2) n hn hnb]
· rw [digits_getLast n (le_add_left 2 b)]
refine IH _ (Nat.div_lt_self hn.bot_lt (one_lt_succ_succ b)) ?_
rw [← pos_iff_ne_zero]
exact Nat.div_pos (le_of_not_lt hnb) (zero_lt_succ (succ b))
#align nat.last_digit_ne_zero Nat.getLast_digit_ne_zero
theorem mul_ofDigits (n : ℕ) {b : ℕ} {l : List ℕ} :
n * ofDigits b l = ofDigits b (l.map (n * ·)) := by
induction l with
| nil => rfl
| cons hd tl ih =>
rw [List.map_cons, ofDigits_cons, ofDigits_cons, ← ih]
ring
theorem ofDigits_add_ofDigits_eq_ofDigits_zipWith_of_length_eq {b : ℕ} {l1 l2 : List ℕ}
(h : l1.length = l2.length) :
ofDigits b l1 + ofDigits b l2 = ofDigits b (l1.zipWith (· + ·) l2) := by
induction l1 generalizing l2 with
| nil => simp_all [eq_comm, List.length_eq_zero, ofDigits]
| cons hd₁ tl₁ ih₁ =>
induction l2 generalizing tl₁ with
| nil => simp_all
| cons hd₂ tl₂ ih₂ =>
simp_all only [List.length_cons, succ_eq_add_one, ofDigits_cons, add_left_inj,
eq_comm, List.zipWith_cons_cons, add_eq]
rw [← ih₁ h.symm, mul_add]
ac_rfl
theorem digits_lt_base' {b m : ℕ} : ∀ {d}, d ∈ digits (b + 2) m → d < b + 2 := by
apply Nat.strongInductionOn m
intro n IH d hd
cases' n with n
· rw [digits_zero] at hd
cases hd
-- base b+2 expansion of 0 has no digits
rw [digits_add_two_add_one] at hd
cases hd
· exact n.succ.mod_lt (by simp)
-- Porting note: Previous code (single line) contained linarith.
-- . exact IH _ (Nat.div_lt_self (Nat.succ_pos _) (by linarith)) hd
· apply IH ((n + 1) / (b + 2))
· apply Nat.div_lt_self <;> omega
· assumption
#align nat.digits_lt_base' Nat.digits_lt_base'
theorem digits_lt_base {b m d : ℕ} (hb : 1 < b) (hd : d ∈ digits b m) : d < b := by
rcases b with (_ | _ | b) <;> try simp_all
exact digits_lt_base' hd
#align nat.digits_lt_base Nat.digits_lt_base
theorem ofDigits_lt_base_pow_length' {b : ℕ} {l : List ℕ} (hl : ∀ x ∈ l, x < b + 2) :
ofDigits (b + 2) l < (b + 2) ^ l.length := by
induction' l with hd tl IH
· simp [ofDigits]
· rw [ofDigits, List.length_cons, pow_succ]
have : (ofDigits (b + 2) tl + 1) * (b + 2) ≤ (b + 2) ^ tl.length * (b + 2) :=
mul_le_mul (IH fun x hx => hl _ (List.mem_cons_of_mem _ hx)) (by rfl) (by simp only [zero_le])
(Nat.zero_le _)
suffices ↑hd < b + 2 by linarith
exact hl hd (List.mem_cons_self _ _)
#align nat.of_digits_lt_base_pow_length' Nat.ofDigits_lt_base_pow_length'
theorem ofDigits_lt_base_pow_length {b : ℕ} {l : List ℕ} (hb : 1 < b) (hl : ∀ x ∈ l, x < b) :
ofDigits b l < b ^ l.length := by
rcases b with (_ | _ | b) <;> try simp_all
exact ofDigits_lt_base_pow_length' hl
#align nat.of_digits_lt_base_pow_length Nat.ofDigits_lt_base_pow_length
theorem lt_base_pow_length_digits' {b m : ℕ} : m < (b + 2) ^ (digits (b + 2) m).length := by
convert @ofDigits_lt_base_pow_length' b (digits (b + 2) m) fun _ => digits_lt_base'
rw [ofDigits_digits (b + 2) m]
#align nat.lt_base_pow_length_digits' Nat.lt_base_pow_length_digits'
theorem lt_base_pow_length_digits {b m : ℕ} (hb : 1 < b) : m < b ^ (digits b m).length := by
rcases b with (_ | _ | b) <;> try simp_all
exact lt_base_pow_length_digits'
#align nat.lt_base_pow_length_digits Nat.lt_base_pow_length_digits
theorem ofDigits_digits_append_digits {b m n : ℕ} :
ofDigits b (digits b n ++ digits b m) = n + b ^ (digits b n).length * m := by
rw [ofDigits_append, ofDigits_digits, ofDigits_digits]
#align nat.of_digits_digits_append_digits Nat.ofDigits_digits_append_digits
theorem digits_append_digits {b m n : ℕ} (hb : 0 < b) :
digits b n ++ digits b m = digits b (n + b ^ (digits b n).length * m) := by
rcases eq_or_lt_of_le (Nat.succ_le_of_lt hb) with (rfl | hb)
· simp [List.replicate_add]
rw [← ofDigits_digits_append_digits]
refine (digits_ofDigits b hb _ (fun l hl => ?_) (fun h_append => ?_)).symm
· rcases (List.mem_append.mp hl) with (h | h) <;> exact digits_lt_base hb h
· by_cases h : digits b m = []
· simp only [h, List.append_nil] at h_append ⊢
exact getLast_digit_ne_zero b <| digits_ne_nil_iff_ne_zero.mp h_append
· exact (List.getLast_append' _ _ h) ▸
(getLast_digit_ne_zero _ <| digits_ne_nil_iff_ne_zero.mp h)
| Mathlib/Data/Nat/Digits.lean | 476 | 482 | theorem digits_len_le_digits_len_succ (b n : ℕ) :
(digits b n).length ≤ (digits b (n + 1)).length := by |
rcases Decidable.eq_or_ne n 0 with (rfl | hn)
· simp
rcases le_or_lt b 1 with hb | hb
· interval_cases b <;> simp_arith [digits_zero_succ', hn]
simpa [digits_len, hb, hn] using log_mono_right (le_succ _)
|
import Mathlib.MeasureTheory.Measure.Lebesgue.EqHaar
import Mathlib.MeasureTheory.Measure.Haar.Quotient
import Mathlib.MeasureTheory.Constructions.Polish
import Mathlib.MeasureTheory.Integral.IntervalIntegral
import Mathlib.Topology.Algebra.Order.Floor
#align_import measure_theory.integral.periodic from "leanprover-community/mathlib"@"9f55d0d4363ae59948c33864cbc52e0b12e0e8ce"
open Set Function MeasureTheory MeasureTheory.Measure TopologicalSpace AddSubgroup intervalIntegral
open scoped MeasureTheory NNReal ENNReal
@[measurability]
protected theorem AddCircle.measurable_mk' {a : ℝ} :
Measurable (β := AddCircle a) ((↑) : ℝ → AddCircle a) :=
Continuous.measurable <| AddCircle.continuous_mk' a
#align add_circle.measurable_mk' AddCircle.measurable_mk'
theorem isAddFundamentalDomain_Ioc {T : ℝ} (hT : 0 < T) (t : ℝ)
(μ : Measure ℝ := by volume_tac) :
IsAddFundamentalDomain (AddSubgroup.zmultiples T) (Ioc t (t + T)) μ := by
refine IsAddFundamentalDomain.mk' measurableSet_Ioc.nullMeasurableSet fun x => ?_
have : Bijective (codRestrict (fun n : ℤ => n • T) (AddSubgroup.zmultiples T) _) :=
(Equiv.ofInjective (fun n : ℤ => n • T) (zsmul_strictMono_left hT).injective).bijective
refine this.existsUnique_iff.2 ?_
simpa only [add_comm x] using existsUnique_add_zsmul_mem_Ioc hT x t
#align is_add_fundamental_domain_Ioc isAddFundamentalDomain_Ioc
theorem isAddFundamentalDomain_Ioc' {T : ℝ} (hT : 0 < T) (t : ℝ) (μ : Measure ℝ := by volume_tac) :
IsAddFundamentalDomain (AddSubgroup.op <| .zmultiples T) (Ioc t (t + T)) μ := by
refine IsAddFundamentalDomain.mk' measurableSet_Ioc.nullMeasurableSet fun x => ?_
have : Bijective (codRestrict (fun n : ℤ => n • T) (AddSubgroup.zmultiples T) _) :=
(Equiv.ofInjective (fun n : ℤ => n • T) (zsmul_strictMono_left hT).injective).bijective
refine (AddSubgroup.equivOp _).bijective.comp this |>.existsUnique_iff.2 ?_
simpa using existsUnique_add_zsmul_mem_Ioc hT x t
#align is_add_fundamental_domain_Ioc' isAddFundamentalDomain_Ioc'
variable {E : Type*} [NormedAddCommGroup E] [NormedSpace ℝ E] [CompleteSpace E]
namespace Function
namespace Periodic
variable {f : ℝ → E} {T : ℝ}
theorem intervalIntegral_add_eq_of_pos (hf : Periodic f T) (hT : 0 < T) (t s : ℝ) :
∫ x in t..t + T, f x = ∫ x in s..s + T, f x := by
simp only [integral_of_le, hT.le, le_add_iff_nonneg_right]
haveI : VAddInvariantMeasure (AddSubgroup.zmultiples T) ℝ volume :=
⟨fun c s _ => measure_preimage_add _ _ _⟩
apply IsAddFundamentalDomain.setIntegral_eq (G := AddSubgroup.zmultiples T)
exacts [isAddFundamentalDomain_Ioc hT t, isAddFundamentalDomain_Ioc hT s, hf.map_vadd_zmultiples]
#align function.periodic.interval_integral_add_eq_of_pos Function.Periodic.intervalIntegral_add_eq_of_pos
theorem intervalIntegral_add_eq (hf : Periodic f T) (t s : ℝ) :
∫ x in t..t + T, f x = ∫ x in s..s + T, f x := by
rcases lt_trichotomy (0 : ℝ) T with (hT | rfl | hT)
· exact hf.intervalIntegral_add_eq_of_pos hT t s
· simp
· rw [← neg_inj, ← integral_symm, ← integral_symm]
simpa only [← sub_eq_add_neg, add_sub_cancel_right] using
hf.neg.intervalIntegral_add_eq_of_pos (neg_pos.2 hT) (t + T) (s + T)
#align function.periodic.interval_integral_add_eq Function.Periodic.intervalIntegral_add_eq
| Mathlib/MeasureTheory/Integral/Periodic.lean | 279 | 282 | theorem intervalIntegral_add_eq_add (hf : Periodic f T) (t s : ℝ)
(h_int : ∀ t₁ t₂, IntervalIntegrable f MeasureSpace.volume t₁ t₂) :
∫ x in t..s + T, f x = (∫ x in t..s, f x) + ∫ x in t..t + T, f x := by |
rw [hf.intervalIntegral_add_eq t s, integral_add_adjacent_intervals (h_int t s) (h_int s _)]
|
import Mathlib.Data.Set.Basic
open Function
universe u v
namespace Set
section Subsingleton
variable {α : Type u} {a : α} {s t : Set α}
protected def Subsingleton (s : Set α) : Prop :=
∀ ⦃x⦄ (_ : x ∈ s) ⦃y⦄ (_ : y ∈ s), x = y
#align set.subsingleton Set.Subsingleton
theorem Subsingleton.anti (ht : t.Subsingleton) (hst : s ⊆ t) : s.Subsingleton := fun _ hx _ hy =>
ht (hst hx) (hst hy)
#align set.subsingleton.anti Set.Subsingleton.anti
theorem Subsingleton.eq_singleton_of_mem (hs : s.Subsingleton) {x : α} (hx : x ∈ s) : s = {x} :=
ext fun _ => ⟨fun hy => hs hx hy ▸ mem_singleton _, fun hy => (eq_of_mem_singleton hy).symm ▸ hx⟩
#align set.subsingleton.eq_singleton_of_mem Set.Subsingleton.eq_singleton_of_mem
@[simp]
theorem subsingleton_empty : (∅ : Set α).Subsingleton := fun _ => False.elim
#align set.subsingleton_empty Set.subsingleton_empty
@[simp]
theorem subsingleton_singleton {a} : ({a} : Set α).Subsingleton := fun _ hx _ hy =>
(eq_of_mem_singleton hx).symm ▸ (eq_of_mem_singleton hy).symm ▸ rfl
#align set.subsingleton_singleton Set.subsingleton_singleton
theorem subsingleton_of_subset_singleton (h : s ⊆ {a}) : s.Subsingleton :=
subsingleton_singleton.anti h
#align set.subsingleton_of_subset_singleton Set.subsingleton_of_subset_singleton
theorem subsingleton_of_forall_eq (a : α) (h : ∀ b ∈ s, b = a) : s.Subsingleton := fun _ hb _ hc =>
(h _ hb).trans (h _ hc).symm
#align set.subsingleton_of_forall_eq Set.subsingleton_of_forall_eq
theorem subsingleton_iff_singleton {x} (hx : x ∈ s) : s.Subsingleton ↔ s = {x} :=
⟨fun h => h.eq_singleton_of_mem hx, fun h => h.symm ▸ subsingleton_singleton⟩
#align set.subsingleton_iff_singleton Set.subsingleton_iff_singleton
theorem Subsingleton.eq_empty_or_singleton (hs : s.Subsingleton) : s = ∅ ∨ ∃ x, s = {x} :=
s.eq_empty_or_nonempty.elim Or.inl fun ⟨x, hx⟩ => Or.inr ⟨x, hs.eq_singleton_of_mem hx⟩
#align set.subsingleton.eq_empty_or_singleton Set.Subsingleton.eq_empty_or_singleton
| Mathlib/Data/Set/Subsingleton.lean | 68 | 71 | theorem Subsingleton.induction_on {p : Set α → Prop} (hs : s.Subsingleton) (he : p ∅)
(h₁ : ∀ x, p {x}) : p s := by |
rcases hs.eq_empty_or_singleton with (rfl | ⟨x, rfl⟩)
exacts [he, h₁ _]
|
import Mathlib.Analysis.NormedSpace.AddTorsor
import Mathlib.LinearAlgebra.AffineSpace.Ordered
import Mathlib.Topology.ContinuousFunction.Basic
import Mathlib.Topology.GDelta
import Mathlib.Analysis.NormedSpace.FunctionSeries
import Mathlib.Analysis.SpecificLimits.Basic
#align_import topology.urysohns_lemma from "leanprover-community/mathlib"@"f2ce6086713c78a7f880485f7917ea547a215982"
variable {X : Type*} [TopologicalSpace X]
open Set Filter TopologicalSpace Topology Filter
open scoped Pointwise
namespace Urysohns
set_option linter.uppercaseLean3 false
structure CU {X : Type*} [TopologicalSpace X] (P : Set X → Prop) where
protected C : Set X
protected U : Set X
protected P_C : P C
protected closed_C : IsClosed C
protected open_U : IsOpen U
protected subset : C ⊆ U
protected hP : ∀ {c u : Set X}, IsClosed c → P c → IsOpen u → c ⊆ u →
∃ v, IsOpen v ∧ c ⊆ v ∧ closure v ⊆ u ∧ P (closure v)
#align urysohns.CU Urysohns.CU
namespace CU
variable {P : Set X → Prop}
@[simps C]
def left (c : CU P) : CU P where
C := c.C
U := (c.hP c.closed_C c.P_C c.open_U c.subset).choose
closed_C := c.closed_C
P_C := c.P_C
open_U := (c.hP c.closed_C c.P_C c.open_U c.subset).choose_spec.1
subset := (c.hP c.closed_C c.P_C c.open_U c.subset).choose_spec.2.1
hP := c.hP
#align urysohns.CU.left Urysohns.CU.left
@[simps U]
def right (c : CU P) : CU P where
C := closure (c.hP c.closed_C c.P_C c.open_U c.subset).choose
U := c.U
closed_C := isClosed_closure
P_C := (c.hP c.closed_C c.P_C c.open_U c.subset).choose_spec.2.2.2
open_U := c.open_U
subset := (c.hP c.closed_C c.P_C c.open_U c.subset).choose_spec.2.2.1
hP := c.hP
#align urysohns.CU.right Urysohns.CU.right
theorem left_U_subset_right_C (c : CU P) : c.left.U ⊆ c.right.C :=
subset_closure
#align urysohns.CU.left_U_subset_right_C Urysohns.CU.left_U_subset_right_C
theorem left_U_subset (c : CU P) : c.left.U ⊆ c.U :=
Subset.trans c.left_U_subset_right_C c.right.subset
#align urysohns.CU.left_U_subset Urysohns.CU.left_U_subset
theorem subset_right_C (c : CU P) : c.C ⊆ c.right.C :=
Subset.trans c.left.subset c.left_U_subset_right_C
#align urysohns.CU.subset_right_C Urysohns.CU.subset_right_C
noncomputable def approx : ℕ → CU P → X → ℝ
| 0, c, x => indicator c.Uᶜ 1 x
| n + 1, c, x => midpoint ℝ (approx n c.left x) (approx n c.right x)
#align urysohns.CU.approx Urysohns.CU.approx
| Mathlib/Topology/UrysohnsLemma.lean | 161 | 166 | theorem approx_of_mem_C (c : CU P) (n : ℕ) {x : X} (hx : x ∈ c.C) : c.approx n x = 0 := by |
induction' n with n ihn generalizing c
· exact indicator_of_not_mem (fun (hU : x ∈ c.Uᶜ) => hU <| c.subset hx) _
· simp only [approx]
rw [ihn, ihn, midpoint_self]
exacts [c.subset_right_C hx, hx]
|
import Mathlib.Data.Complex.Exponential
import Mathlib.Analysis.SpecialFunctions.Log.Deriv
#align_import data.complex.exponential_bounds from "leanprover-community/mathlib"@"402f8982dddc1864bd703da2d6e2ee304a866973"
namespace Real
open IsAbsoluteValue Finset CauSeq Complex
theorem exp_one_near_10 : |exp 1 - 2244083 / 825552| ≤ 1 / 10 ^ 10 := by
apply exp_approx_start
iterate 13 refine exp_1_approx_succ_eq (by norm_num1; rfl) (by norm_cast) ?_
norm_num1
refine exp_approx_end' _ (by norm_num1; rfl) _ (by norm_cast) (by simp) ?_
rw [_root_.abs_one, abs_of_pos] <;> norm_num1
#align real.exp_one_near_10 Real.exp_one_near_10
| Mathlib/Data/Complex/ExponentialBounds.lean | 28 | 33 | theorem exp_one_near_20 : |exp 1 - 363916618873 / 133877442384| ≤ 1 / 10 ^ 20 := by |
apply exp_approx_start
iterate 21 refine exp_1_approx_succ_eq (by norm_num1; rfl) (by norm_cast) ?_
norm_num1
refine exp_approx_end' _ (by norm_num1; rfl) _ (by norm_cast) (by simp) ?_
rw [_root_.abs_one, abs_of_pos] <;> norm_num1
|
import Mathlib.Algebra.Polynomial.Degree.Definitions
import Mathlib.Algebra.Polynomial.Induction
#align_import data.polynomial.eval from "leanprover-community/mathlib"@"728baa2f54e6062c5879a3e397ac6bac323e506f"
set_option linter.uppercaseLean3 false
noncomputable section
open Finset AddMonoidAlgebra
open Polynomial
namespace Polynomial
universe u v w y
variable {R : Type u} {S : Type v} {T : Type w} {ι : Type y} {a b : R} {m n : ℕ}
section Semiring
variable [Semiring R] {p q r : R[X]}
section
variable [Semiring S]
variable (f : R →+* S) (x : S)
irreducible_def eval₂ (p : R[X]) : S :=
p.sum fun e a => f a * x ^ e
#align polynomial.eval₂ Polynomial.eval₂
theorem eval₂_eq_sum {f : R →+* S} {x : S} : p.eval₂ f x = p.sum fun e a => f a * x ^ e := by
rw [eval₂_def]
#align polynomial.eval₂_eq_sum Polynomial.eval₂_eq_sum
theorem eval₂_congr {R S : Type*} [Semiring R] [Semiring S] {f g : R →+* S} {s t : S}
{φ ψ : R[X]} : f = g → s = t → φ = ψ → eval₂ f s φ = eval₂ g t ψ := by
rintro rfl rfl rfl; rfl
#align polynomial.eval₂_congr Polynomial.eval₂_congr
@[simp]
theorem eval₂_at_zero : p.eval₂ f 0 = f (coeff p 0) := by
simp (config := { contextual := true }) only [eval₂_eq_sum, zero_pow_eq, mul_ite, mul_zero,
mul_one, sum, Classical.not_not, mem_support_iff, sum_ite_eq', ite_eq_left_iff,
RingHom.map_zero, imp_true_iff, eq_self_iff_true]
#align polynomial.eval₂_at_zero Polynomial.eval₂_at_zero
@[simp]
theorem eval₂_zero : (0 : R[X]).eval₂ f x = 0 := by simp [eval₂_eq_sum]
#align polynomial.eval₂_zero Polynomial.eval₂_zero
@[simp]
| Mathlib/Algebra/Polynomial/Eval.lean | 69 | 69 | theorem eval₂_C : (C a).eval₂ f x = f a := by | simp [eval₂_eq_sum]
|
import Mathlib.Analysis.SpecialFunctions.Trigonometric.Basic
import Mathlib.Analysis.Normed.Group.AddCircle
import Mathlib.Algebra.CharZero.Quotient
import Mathlib.Topology.Instances.Sign
#align_import analysis.special_functions.trigonometric.angle from "leanprover-community/mathlib"@"213b0cff7bc5ab6696ee07cceec80829ce42efec"
open Real
noncomputable section
namespace Real
-- Porting note: can't derive `NormedAddCommGroup, Inhabited`
def Angle : Type :=
AddCircle (2 * π)
#align real.angle Real.Angle
namespace Angle
-- Porting note (#10754): added due to missing instances due to no deriving
instance : NormedAddCommGroup Angle :=
inferInstanceAs (NormedAddCommGroup (AddCircle (2 * π)))
-- Porting note (#10754): added due to missing instances due to no deriving
instance : Inhabited Angle :=
inferInstanceAs (Inhabited (AddCircle (2 * π)))
-- Porting note (#10754): added due to missing instances due to no deriving
-- also, without this, a plain `QuotientAddGroup.mk`
-- causes coerced terms to be of type `ℝ ⧸ AddSubgroup.zmultiples (2 * π)`
@[coe]
protected def coe (r : ℝ) : Angle := QuotientAddGroup.mk r
instance : Coe ℝ Angle := ⟨Angle.coe⟩
instance : CircularOrder Real.Angle :=
QuotientAddGroup.circularOrder (hp' := ⟨by norm_num [pi_pos]⟩)
@[continuity]
theorem continuous_coe : Continuous ((↑) : ℝ → Angle) :=
continuous_quotient_mk'
#align real.angle.continuous_coe Real.Angle.continuous_coe
def coeHom : ℝ →+ Angle :=
QuotientAddGroup.mk' _
#align real.angle.coe_hom Real.Angle.coeHom
@[simp]
theorem coe_coeHom : (coeHom : ℝ → Angle) = ((↑) : ℝ → Angle) :=
rfl
#align real.angle.coe_coe_hom Real.Angle.coe_coeHom
@[elab_as_elim]
protected theorem induction_on {p : Angle → Prop} (θ : Angle) (h : ∀ x : ℝ, p x) : p θ :=
Quotient.inductionOn' θ h
#align real.angle.induction_on Real.Angle.induction_on
@[simp]
theorem coe_zero : ↑(0 : ℝ) = (0 : Angle) :=
rfl
#align real.angle.coe_zero Real.Angle.coe_zero
@[simp]
theorem coe_add (x y : ℝ) : ↑(x + y : ℝ) = (↑x + ↑y : Angle) :=
rfl
#align real.angle.coe_add Real.Angle.coe_add
@[simp]
theorem coe_neg (x : ℝ) : ↑(-x : ℝ) = -(↑x : Angle) :=
rfl
#align real.angle.coe_neg Real.Angle.coe_neg
@[simp]
theorem coe_sub (x y : ℝ) : ↑(x - y : ℝ) = (↑x - ↑y : Angle) :=
rfl
#align real.angle.coe_sub Real.Angle.coe_sub
theorem coe_nsmul (n : ℕ) (x : ℝ) : ↑(n • x : ℝ) = n • (↑x : Angle) :=
rfl
#align real.angle.coe_nsmul Real.Angle.coe_nsmul
theorem coe_zsmul (z : ℤ) (x : ℝ) : ↑(z • x : ℝ) = z • (↑x : Angle) :=
rfl
#align real.angle.coe_zsmul Real.Angle.coe_zsmul
@[simp, norm_cast]
theorem natCast_mul_eq_nsmul (x : ℝ) (n : ℕ) : ↑((n : ℝ) * x) = n • (↑x : Angle) := by
simpa only [nsmul_eq_mul] using coeHom.map_nsmul x n
#align real.angle.coe_nat_mul_eq_nsmul Real.Angle.natCast_mul_eq_nsmul
@[simp, norm_cast]
theorem intCast_mul_eq_zsmul (x : ℝ) (n : ℤ) : ↑((n : ℝ) * x : ℝ) = n • (↑x : Angle) := by
simpa only [zsmul_eq_mul] using coeHom.map_zsmul x n
#align real.angle.coe_int_mul_eq_zsmul Real.Angle.intCast_mul_eq_zsmul
@[deprecated (since := "2024-05-25")] alias coe_nat_mul_eq_nsmul := natCast_mul_eq_nsmul
@[deprecated (since := "2024-05-25")] alias coe_int_mul_eq_zsmul := intCast_mul_eq_zsmul
theorem angle_eq_iff_two_pi_dvd_sub {ψ θ : ℝ} : (θ : Angle) = ψ ↔ ∃ k : ℤ, θ - ψ = 2 * π * k := by
simp only [QuotientAddGroup.eq, AddSubgroup.zmultiples_eq_closure,
AddSubgroup.mem_closure_singleton, zsmul_eq_mul', (sub_eq_neg_add _ _).symm, eq_comm]
-- Porting note: added `rw`, `simp [Angle.coe, QuotientAddGroup.eq]` doesn't fire otherwise
rw [Angle.coe, Angle.coe, QuotientAddGroup.eq]
simp only [AddSubgroup.zmultiples_eq_closure,
AddSubgroup.mem_closure_singleton, zsmul_eq_mul', (sub_eq_neg_add _ _).symm, eq_comm]
#align real.angle.angle_eq_iff_two_pi_dvd_sub Real.Angle.angle_eq_iff_two_pi_dvd_sub
@[simp]
theorem coe_two_pi : ↑(2 * π : ℝ) = (0 : Angle) :=
angle_eq_iff_two_pi_dvd_sub.2 ⟨1, by rw [sub_zero, Int.cast_one, mul_one]⟩
#align real.angle.coe_two_pi Real.Angle.coe_two_pi
@[simp]
theorem neg_coe_pi : -(π : Angle) = π := by
rw [← coe_neg, angle_eq_iff_two_pi_dvd_sub]
use -1
simp [two_mul, sub_eq_add_neg]
#align real.angle.neg_coe_pi Real.Angle.neg_coe_pi
@[simp]
theorem two_nsmul_coe_div_two (θ : ℝ) : (2 : ℕ) • (↑(θ / 2) : Angle) = θ := by
rw [← coe_nsmul, two_nsmul, add_halves]
#align real.angle.two_nsmul_coe_div_two Real.Angle.two_nsmul_coe_div_two
@[simp]
theorem two_zsmul_coe_div_two (θ : ℝ) : (2 : ℤ) • (↑(θ / 2) : Angle) = θ := by
rw [← coe_zsmul, two_zsmul, add_halves]
#align real.angle.two_zsmul_coe_div_two Real.Angle.two_zsmul_coe_div_two
-- Porting note (#10618): @[simp] can prove it
theorem two_nsmul_neg_pi_div_two : (2 : ℕ) • (↑(-π / 2) : Angle) = π := by
rw [two_nsmul_coe_div_two, coe_neg, neg_coe_pi]
#align real.angle.two_nsmul_neg_pi_div_two Real.Angle.two_nsmul_neg_pi_div_two
-- Porting note (#10618): @[simp] can prove it
theorem two_zsmul_neg_pi_div_two : (2 : ℤ) • (↑(-π / 2) : Angle) = π := by
rw [two_zsmul, ← two_nsmul, two_nsmul_neg_pi_div_two]
#align real.angle.two_zsmul_neg_pi_div_two Real.Angle.two_zsmul_neg_pi_div_two
theorem sub_coe_pi_eq_add_coe_pi (θ : Angle) : θ - π = θ + π := by
rw [sub_eq_add_neg, neg_coe_pi]
#align real.angle.sub_coe_pi_eq_add_coe_pi Real.Angle.sub_coe_pi_eq_add_coe_pi
@[simp]
theorem two_nsmul_coe_pi : (2 : ℕ) • (π : Angle) = 0 := by simp [← natCast_mul_eq_nsmul]
#align real.angle.two_nsmul_coe_pi Real.Angle.two_nsmul_coe_pi
@[simp]
theorem two_zsmul_coe_pi : (2 : ℤ) • (π : Angle) = 0 := by simp [← intCast_mul_eq_zsmul]
#align real.angle.two_zsmul_coe_pi Real.Angle.two_zsmul_coe_pi
@[simp]
theorem coe_pi_add_coe_pi : (π : Real.Angle) + π = 0 := by rw [← two_nsmul, two_nsmul_coe_pi]
#align real.angle.coe_pi_add_coe_pi Real.Angle.coe_pi_add_coe_pi
theorem zsmul_eq_iff {ψ θ : Angle} {z : ℤ} (hz : z ≠ 0) :
z • ψ = z • θ ↔ ∃ k : Fin z.natAbs, ψ = θ + (k : ℕ) • (2 * π / z : ℝ) :=
QuotientAddGroup.zmultiples_zsmul_eq_zsmul_iff hz
#align real.angle.zsmul_eq_iff Real.Angle.zsmul_eq_iff
theorem nsmul_eq_iff {ψ θ : Angle} {n : ℕ} (hz : n ≠ 0) :
n • ψ = n • θ ↔ ∃ k : Fin n, ψ = θ + (k : ℕ) • (2 * π / n : ℝ) :=
QuotientAddGroup.zmultiples_nsmul_eq_nsmul_iff hz
#align real.angle.nsmul_eq_iff Real.Angle.nsmul_eq_iff
theorem two_zsmul_eq_iff {ψ θ : Angle} : (2 : ℤ) • ψ = (2 : ℤ) • θ ↔ ψ = θ ∨ ψ = θ + ↑π := by
-- Porting note: no `Int.natAbs_bit0` anymore
have : Int.natAbs 2 = 2 := rfl
rw [zsmul_eq_iff two_ne_zero, this, Fin.exists_fin_two, Fin.val_zero,
Fin.val_one, zero_smul, add_zero, one_smul, Int.cast_two,
mul_div_cancel_left₀ (_ : ℝ) two_ne_zero]
#align real.angle.two_zsmul_eq_iff Real.Angle.two_zsmul_eq_iff
theorem two_nsmul_eq_iff {ψ θ : Angle} : (2 : ℕ) • ψ = (2 : ℕ) • θ ↔ ψ = θ ∨ ψ = θ + ↑π := by
simp_rw [← natCast_zsmul, Nat.cast_ofNat, two_zsmul_eq_iff]
#align real.angle.two_nsmul_eq_iff Real.Angle.two_nsmul_eq_iff
theorem two_nsmul_eq_zero_iff {θ : Angle} : (2 : ℕ) • θ = 0 ↔ θ = 0 ∨ θ = π := by
convert two_nsmul_eq_iff <;> simp
#align real.angle.two_nsmul_eq_zero_iff Real.Angle.two_nsmul_eq_zero_iff
theorem two_nsmul_ne_zero_iff {θ : Angle} : (2 : ℕ) • θ ≠ 0 ↔ θ ≠ 0 ∧ θ ≠ π := by
rw [← not_or, ← two_nsmul_eq_zero_iff]
#align real.angle.two_nsmul_ne_zero_iff Real.Angle.two_nsmul_ne_zero_iff
theorem two_zsmul_eq_zero_iff {θ : Angle} : (2 : ℤ) • θ = 0 ↔ θ = 0 ∨ θ = π := by
simp_rw [two_zsmul, ← two_nsmul, two_nsmul_eq_zero_iff]
#align real.angle.two_zsmul_eq_zero_iff Real.Angle.two_zsmul_eq_zero_iff
theorem two_zsmul_ne_zero_iff {θ : Angle} : (2 : ℤ) • θ ≠ 0 ↔ θ ≠ 0 ∧ θ ≠ π := by
rw [← not_or, ← two_zsmul_eq_zero_iff]
#align real.angle.two_zsmul_ne_zero_iff Real.Angle.two_zsmul_ne_zero_iff
theorem eq_neg_self_iff {θ : Angle} : θ = -θ ↔ θ = 0 ∨ θ = π := by
rw [← add_eq_zero_iff_eq_neg, ← two_nsmul, two_nsmul_eq_zero_iff]
#align real.angle.eq_neg_self_iff Real.Angle.eq_neg_self_iff
theorem ne_neg_self_iff {θ : Angle} : θ ≠ -θ ↔ θ ≠ 0 ∧ θ ≠ π := by
rw [← not_or, ← eq_neg_self_iff.not]
#align real.angle.ne_neg_self_iff Real.Angle.ne_neg_self_iff
theorem neg_eq_self_iff {θ : Angle} : -θ = θ ↔ θ = 0 ∨ θ = π := by rw [eq_comm, eq_neg_self_iff]
#align real.angle.neg_eq_self_iff Real.Angle.neg_eq_self_iff
theorem neg_ne_self_iff {θ : Angle} : -θ ≠ θ ↔ θ ≠ 0 ∧ θ ≠ π := by
rw [← not_or, ← neg_eq_self_iff.not]
#align real.angle.neg_ne_self_iff Real.Angle.neg_ne_self_iff
theorem two_nsmul_eq_pi_iff {θ : Angle} : (2 : ℕ) • θ = π ↔ θ = (π / 2 : ℝ) ∨ θ = (-π / 2 : ℝ) := by
have h : (π : Angle) = ((2 : ℕ) • (π / 2 : ℝ) :) := by rw [two_nsmul, add_halves]
nth_rw 1 [h]
rw [coe_nsmul, two_nsmul_eq_iff]
-- Porting note: `congr` didn't simplify the goal of iff of `Or`s
convert Iff.rfl
rw [add_comm, ← coe_add, ← sub_eq_zero, ← coe_sub, neg_div, ← neg_sub, sub_neg_eq_add, add_assoc,
add_halves, ← two_mul, coe_neg, coe_two_pi, neg_zero]
#align real.angle.two_nsmul_eq_pi_iff Real.Angle.two_nsmul_eq_pi_iff
theorem two_zsmul_eq_pi_iff {θ : Angle} : (2 : ℤ) • θ = π ↔ θ = (π / 2 : ℝ) ∨ θ = (-π / 2 : ℝ) := by
rw [two_zsmul, ← two_nsmul, two_nsmul_eq_pi_iff]
#align real.angle.two_zsmul_eq_pi_iff Real.Angle.two_zsmul_eq_pi_iff
theorem cos_eq_iff_coe_eq_or_eq_neg {θ ψ : ℝ} :
cos θ = cos ψ ↔ (θ : Angle) = ψ ∨ (θ : Angle) = -ψ := by
constructor
· intro Hcos
rw [← sub_eq_zero, cos_sub_cos, mul_eq_zero, mul_eq_zero, neg_eq_zero,
eq_false (two_ne_zero' ℝ), false_or_iff, sin_eq_zero_iff, sin_eq_zero_iff] at Hcos
rcases Hcos with (⟨n, hn⟩ | ⟨n, hn⟩)
· right
rw [eq_div_iff_mul_eq (two_ne_zero' ℝ), ← sub_eq_iff_eq_add] at hn
rw [← hn, coe_sub, eq_neg_iff_add_eq_zero, sub_add_cancel, mul_assoc, intCast_mul_eq_zsmul,
mul_comm, coe_two_pi, zsmul_zero]
· left
rw [eq_div_iff_mul_eq (two_ne_zero' ℝ), eq_sub_iff_add_eq] at hn
rw [← hn, coe_add, mul_assoc, intCast_mul_eq_zsmul, mul_comm, coe_two_pi, zsmul_zero,
zero_add]
· rw [angle_eq_iff_two_pi_dvd_sub, ← coe_neg, angle_eq_iff_two_pi_dvd_sub]
rintro (⟨k, H⟩ | ⟨k, H⟩)
· rw [← sub_eq_zero, cos_sub_cos, H, mul_assoc 2 π k, mul_div_cancel_left₀ _ (two_ne_zero' ℝ),
mul_comm π _, sin_int_mul_pi, mul_zero]
rw [← sub_eq_zero, cos_sub_cos, ← sub_neg_eq_add, H, mul_assoc 2 π k,
mul_div_cancel_left₀ _ (two_ne_zero' ℝ), mul_comm π _, sin_int_mul_pi, mul_zero,
zero_mul]
#align real.angle.cos_eq_iff_coe_eq_or_eq_neg Real.Angle.cos_eq_iff_coe_eq_or_eq_neg
theorem sin_eq_iff_coe_eq_or_add_eq_pi {θ ψ : ℝ} :
sin θ = sin ψ ↔ (θ : Angle) = ψ ∨ (θ : Angle) + ψ = π := by
constructor
· intro Hsin
rw [← cos_pi_div_two_sub, ← cos_pi_div_two_sub] at Hsin
cases' cos_eq_iff_coe_eq_or_eq_neg.mp Hsin with h h
· left
rw [coe_sub, coe_sub] at h
exact sub_right_inj.1 h
right
rw [coe_sub, coe_sub, eq_neg_iff_add_eq_zero, add_sub, sub_add_eq_add_sub, ← coe_add,
add_halves, sub_sub, sub_eq_zero] at h
exact h.symm
· rw [angle_eq_iff_two_pi_dvd_sub, ← eq_sub_iff_add_eq, ← coe_sub, angle_eq_iff_two_pi_dvd_sub]
rintro (⟨k, H⟩ | ⟨k, H⟩)
· rw [← sub_eq_zero, sin_sub_sin, H, mul_assoc 2 π k, mul_div_cancel_left₀ _ (two_ne_zero' ℝ),
mul_comm π _, sin_int_mul_pi, mul_zero, zero_mul]
have H' : θ + ψ = 2 * k * π + π := by
rwa [← sub_add, sub_add_eq_add_sub, sub_eq_iff_eq_add, mul_assoc, mul_comm π _, ←
mul_assoc] at H
rw [← sub_eq_zero, sin_sub_sin, H', add_div, mul_assoc 2 _ π,
mul_div_cancel_left₀ _ (two_ne_zero' ℝ), cos_add_pi_div_two, sin_int_mul_pi, neg_zero,
mul_zero]
#align real.angle.sin_eq_iff_coe_eq_or_add_eq_pi Real.Angle.sin_eq_iff_coe_eq_or_add_eq_pi
| Mathlib/Analysis/SpecialFunctions/Trigonometric/Angle.lean | 292 | 302 | theorem cos_sin_inj {θ ψ : ℝ} (Hcos : cos θ = cos ψ) (Hsin : sin θ = sin ψ) : (θ : Angle) = ψ := by |
cases' cos_eq_iff_coe_eq_or_eq_neg.mp Hcos with hc hc; · exact hc
cases' sin_eq_iff_coe_eq_or_add_eq_pi.mp Hsin with hs hs; · exact hs
rw [eq_neg_iff_add_eq_zero, hs] at hc
obtain ⟨n, hn⟩ : ∃ n, n • _ = _ := QuotientAddGroup.leftRel_apply.mp (Quotient.exact' hc)
rw [← neg_one_mul, add_zero, ← sub_eq_zero, zsmul_eq_mul, ← mul_assoc, ← sub_mul, mul_eq_zero,
eq_false (ne_of_gt pi_pos), or_false_iff, sub_neg_eq_add, ← Int.cast_zero, ← Int.cast_one,
← Int.cast_ofNat, ← Int.cast_mul, ← Int.cast_add, Int.cast_inj] at hn
have : (n * 2 + 1) % (2 : ℤ) = 0 % (2 : ℤ) := congr_arg (· % (2 : ℤ)) hn
rw [add_comm, Int.add_mul_emod_self] at this
exact absurd this one_ne_zero
|
import Mathlib.Algebra.MvPolynomial.PDeriv
import Mathlib.Algebra.Polynomial.AlgebraMap
import Mathlib.Algebra.Polynomial.Derivative
import Mathlib.Data.Nat.Choose.Sum
import Mathlib.LinearAlgebra.LinearIndependent
import Mathlib.RingTheory.Polynomial.Pochhammer
#align_import ring_theory.polynomial.bernstein from "leanprover-community/mathlib"@"bbeb185db4ccee8ed07dc48449414ebfa39cb821"
noncomputable section
open Nat (choose)
open Polynomial (X)
open scoped Polynomial
variable (R : Type*) [CommRing R]
def bernsteinPolynomial (n ν : ℕ) : R[X] :=
(choose n ν : R[X]) * X ^ ν * (1 - X) ^ (n - ν)
#align bernstein_polynomial bernsteinPolynomial
example : bernsteinPolynomial ℤ 3 2 = 3 * X ^ 2 - 3 * X ^ 3 := by
norm_num [bernsteinPolynomial, choose]
ring
namespace bernsteinPolynomial
theorem eq_zero_of_lt {n ν : ℕ} (h : n < ν) : bernsteinPolynomial R n ν = 0 := by
simp [bernsteinPolynomial, Nat.choose_eq_zero_of_lt h]
#align bernstein_polynomial.eq_zero_of_lt bernsteinPolynomial.eq_zero_of_lt
section
variable {R} {S : Type*} [CommRing S]
@[simp]
theorem map (f : R →+* S) (n ν : ℕ) :
(bernsteinPolynomial R n ν).map f = bernsteinPolynomial S n ν := by simp [bernsteinPolynomial]
#align bernstein_polynomial.map bernsteinPolynomial.map
end
theorem flip (n ν : ℕ) (h : ν ≤ n) :
(bernsteinPolynomial R n ν).comp (1 - X) = bernsteinPolynomial R n (n - ν) := by
simp [bernsteinPolynomial, h, tsub_tsub_assoc, mul_right_comm]
#align bernstein_polynomial.flip bernsteinPolynomial.flip
theorem flip' (n ν : ℕ) (h : ν ≤ n) :
bernsteinPolynomial R n ν = (bernsteinPolynomial R n (n - ν)).comp (1 - X) := by
simp [← flip _ _ _ h, Polynomial.comp_assoc]
#align bernstein_polynomial.flip' bernsteinPolynomial.flip'
theorem eval_at_0 (n ν : ℕ) : (bernsteinPolynomial R n ν).eval 0 = if ν = 0 then 1 else 0 := by
rw [bernsteinPolynomial]
split_ifs with h
· subst h; simp
· simp [zero_pow h]
#align bernstein_polynomial.eval_at_0 bernsteinPolynomial.eval_at_0
theorem eval_at_1 (n ν : ℕ) : (bernsteinPolynomial R n ν).eval 1 = if ν = n then 1 else 0 := by
rw [bernsteinPolynomial]
split_ifs with h
· subst h; simp
· obtain hνn | hnν := Ne.lt_or_lt h
· simp [zero_pow $ Nat.sub_ne_zero_of_lt hνn]
· simp [Nat.choose_eq_zero_of_lt hnν]
#align bernstein_polynomial.eval_at_1 bernsteinPolynomial.eval_at_1
theorem derivative_succ_aux (n ν : ℕ) :
Polynomial.derivative (bernsteinPolynomial R (n + 1) (ν + 1)) =
(n + 1) * (bernsteinPolynomial R n ν - bernsteinPolynomial R n (ν + 1)) := by
rw [bernsteinPolynomial]
suffices ((n + 1).choose (ν + 1) : R[X]) * ((↑(ν + 1 : ℕ) : R[X]) * X ^ ν) * (1 - X) ^ (n - ν) -
((n + 1).choose (ν + 1) : R[X]) * X ^ (ν + 1) * ((↑(n - ν) : R[X]) * (1 - X) ^ (n - ν - 1)) =
(↑(n + 1) : R[X]) * ((n.choose ν : R[X]) * X ^ ν * (1 - X) ^ (n - ν) -
(n.choose (ν + 1) : R[X]) * X ^ (ν + 1) * (1 - X) ^ (n - (ν + 1))) by
simpa [Polynomial.derivative_pow, ← sub_eq_add_neg, Nat.succ_sub_succ_eq_sub,
Polynomial.derivative_mul, Polynomial.derivative_natCast, zero_mul,
Nat.cast_add, algebraMap.coe_one, Polynomial.derivative_X, mul_one, zero_add,
Polynomial.derivative_sub, Polynomial.derivative_one, zero_sub, mul_neg, Nat.sub_zero,
bernsteinPolynomial, map_add, map_natCast, Nat.cast_one]
conv_rhs => rw [mul_sub]
-- We'll prove the two terms match up separately.
refine congr (congr_arg Sub.sub ?_) ?_
· simp only [← mul_assoc]
apply congr (congr_arg (· * ·) (congr (congr_arg (· * ·) _) rfl)) rfl
-- Now it's just about binomial coefficients
exact mod_cast congr_arg (fun m : ℕ => (m : R[X])) (Nat.succ_mul_choose_eq n ν).symm
· rw [← tsub_add_eq_tsub_tsub, ← mul_assoc, ← mul_assoc]; congr 1
rw [mul_comm, ← mul_assoc, ← mul_assoc]; congr 1
norm_cast
congr 1
convert (Nat.choose_mul_succ_eq n (ν + 1)).symm using 1
· -- Porting note: was
-- convert mul_comm _ _ using 2
-- simp
rw [mul_comm, Nat.succ_sub_succ_eq_sub]
· apply mul_comm
#align bernstein_polynomial.derivative_succ_aux bernsteinPolynomial.derivative_succ_aux
theorem derivative_succ (n ν : ℕ) : Polynomial.derivative (bernsteinPolynomial R n (ν + 1)) =
n * (bernsteinPolynomial R (n - 1) ν - bernsteinPolynomial R (n - 1) (ν + 1)) := by
cases n
· simp [bernsteinPolynomial]
· rw [Nat.cast_succ]; apply derivative_succ_aux
#align bernstein_polynomial.derivative_succ bernsteinPolynomial.derivative_succ
theorem derivative_zero (n : ℕ) :
Polynomial.derivative (bernsteinPolynomial R n 0) = -n * bernsteinPolynomial R (n - 1) 0 := by
simp [bernsteinPolynomial, Polynomial.derivative_pow]
#align bernstein_polynomial.derivative_zero bernsteinPolynomial.derivative_zero
theorem iterate_derivative_at_0_eq_zero_of_lt (n : ℕ) {ν k : ℕ} :
k < ν → (Polynomial.derivative^[k] (bernsteinPolynomial R n ν)).eval 0 = 0 := by
cases' ν with ν
· rintro ⟨⟩
· rw [Nat.lt_succ_iff]
induction' k with k ih generalizing n ν
· simp [eval_at_0]
· simp only [derivative_succ, Int.natCast_eq_zero, mul_eq_zero, Function.comp_apply,
Function.iterate_succ, Polynomial.iterate_derivative_sub,
Polynomial.iterate_derivative_natCast_mul, Polynomial.eval_mul, Polynomial.eval_natCast,
Polynomial.eval_sub]
intro h
apply mul_eq_zero_of_right
rw [ih _ _ (Nat.le_of_succ_le h), sub_zero]
convert ih _ _ (Nat.pred_le_pred h)
exact (Nat.succ_pred_eq_of_pos (k.succ_pos.trans_le h)).symm
#align bernstein_polynomial.iterate_derivative_at_0_eq_zero_of_lt bernsteinPolynomial.iterate_derivative_at_0_eq_zero_of_lt
@[simp]
theorem iterate_derivative_succ_at_0_eq_zero (n ν : ℕ) :
(Polynomial.derivative^[ν] (bernsteinPolynomial R n (ν + 1))).eval 0 = 0 :=
iterate_derivative_at_0_eq_zero_of_lt R n (lt_add_one ν)
#align bernstein_polynomial.iterate_derivative_succ_at_0_eq_zero bernsteinPolynomial.iterate_derivative_succ_at_0_eq_zero
open Polynomial
@[simp]
theorem iterate_derivative_at_0 (n ν : ℕ) :
(Polynomial.derivative^[ν] (bernsteinPolynomial R n ν)).eval 0 =
(ascPochhammer R ν).eval ((n - (ν - 1) : ℕ) : R) := by
by_cases h : ν ≤ n
· induction' ν with ν ih generalizing n
· simp [eval_at_0]
· have h' : ν ≤ n - 1 := le_tsub_of_add_le_right h
simp only [derivative_succ, ih (n - 1) h', iterate_derivative_succ_at_0_eq_zero,
Nat.succ_sub_succ_eq_sub, tsub_zero, sub_zero, iterate_derivative_sub,
iterate_derivative_natCast_mul, eval_one, eval_mul, eval_add, eval_sub, eval_X, eval_comp,
eval_natCast, Function.comp_apply, Function.iterate_succ, ascPochhammer_succ_left]
obtain rfl | h'' := ν.eq_zero_or_pos
· simp
· have : n - 1 - (ν - 1) = n - ν := by
rw [gt_iff_lt, ← Nat.succ_le_iff] at h''
rw [← tsub_add_eq_tsub_tsub, add_comm, tsub_add_cancel_of_le h'']
rw [this, ascPochhammer_eval_succ]
rw_mod_cast [tsub_add_cancel_of_le (h'.trans n.pred_le)]
· simp only [not_le] at h
rw [tsub_eq_zero_iff_le.mpr (Nat.le_sub_one_of_lt h), eq_zero_of_lt R h]
simp [pos_iff_ne_zero.mp (pos_of_gt h)]
#align bernstein_polynomial.iterate_derivative_at_0 bernsteinPolynomial.iterate_derivative_at_0
| Mathlib/RingTheory/Polynomial/Bernstein.lean | 196 | 205 | theorem iterate_derivative_at_0_ne_zero [CharZero R] (n ν : ℕ) (h : ν ≤ n) :
(Polynomial.derivative^[ν] (bernsteinPolynomial R n ν)).eval 0 ≠ 0 := by |
simp only [Int.natCast_eq_zero, bernsteinPolynomial.iterate_derivative_at_0, Ne, Nat.cast_eq_zero]
simp only [← ascPochhammer_eval_cast]
norm_cast
apply ne_of_gt
obtain rfl | h' := Nat.eq_zero_or_pos ν
· simp
· rw [← Nat.succ_pred_eq_of_pos h'] at h
exact ascPochhammer_pos _ _ (tsub_pos_of_lt (Nat.lt_of_succ_le h))
|
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]
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, *]
#align deriv_mem_iff deriv_mem_iff
theorem derivWithin_mem_iff {f : 𝕜 → F} {t : Set 𝕜} {s : Set F} {x : 𝕜} :
derivWithin f t x ∈ s ↔
DifferentiableWithinAt 𝕜 f t x ∧ derivWithin f t x ∈ s ∨
¬DifferentiableWithinAt 𝕜 f t x ∧ (0 : F) ∈ s := by
by_cases hx : DifferentiableWithinAt 𝕜 f t x <;>
simp [derivWithin_zero_of_not_differentiableWithinAt, *]
#align deriv_within_mem_iff derivWithin_mem_iff
theorem differentiableWithinAt_Ioi_iff_Ici [PartialOrder 𝕜] :
DifferentiableWithinAt 𝕜 f (Ioi x) x ↔ DifferentiableWithinAt 𝕜 f (Ici x) x :=
⟨fun h => h.hasDerivWithinAt.Ici_of_Ioi.differentiableWithinAt, fun h =>
h.hasDerivWithinAt.Ioi_of_Ici.differentiableWithinAt⟩
#align differentiable_within_at_Ioi_iff_Ici differentiableWithinAt_Ioi_iff_Ici
-- Golfed while splitting the file
theorem derivWithin_Ioi_eq_Ici {E : Type*} [NormedAddCommGroup E] [NormedSpace ℝ E] (f : ℝ → E)
(x : ℝ) : derivWithin f (Ioi x) x = derivWithin f (Ici x) x := by
by_cases H : DifferentiableWithinAt ℝ f (Ioi x) x
· have A := H.hasDerivWithinAt.Ici_of_Ioi
have B := (differentiableWithinAt_Ioi_iff_Ici.1 H).hasDerivWithinAt
simpa using (uniqueDiffOn_Ici x).eq left_mem_Ici A B
· rw [derivWithin_zero_of_not_differentiableWithinAt H,
derivWithin_zero_of_not_differentiableWithinAt]
rwa [differentiableWithinAt_Ioi_iff_Ici] at H
#align deriv_within_Ioi_eq_Ici derivWithin_Ioi_eq_Ici
section congr
theorem Filter.EventuallyEq.hasDerivAtFilter_iff (h₀ : f₀ =ᶠ[L] f₁) (hx : f₀ x = f₁ x)
(h₁ : f₀' = f₁') : HasDerivAtFilter f₀ f₀' x L ↔ HasDerivAtFilter f₁ f₁' x L :=
h₀.hasFDerivAtFilter_iff hx (by simp [h₁])
#align filter.eventually_eq.has_deriv_at_filter_iff Filter.EventuallyEq.hasDerivAtFilter_iff
theorem HasDerivAtFilter.congr_of_eventuallyEq (h : HasDerivAtFilter f f' x L) (hL : f₁ =ᶠ[L] f)
(hx : f₁ x = f x) : HasDerivAtFilter f₁ f' x L := by rwa [hL.hasDerivAtFilter_iff hx rfl]
#align has_deriv_at_filter.congr_of_eventually_eq HasDerivAtFilter.congr_of_eventuallyEq
theorem HasDerivWithinAt.congr_mono (h : HasDerivWithinAt f f' s x) (ht : ∀ x ∈ t, f₁ x = f x)
(hx : f₁ x = f x) (h₁ : t ⊆ s) : HasDerivWithinAt f₁ f' t x :=
HasFDerivWithinAt.congr_mono h ht hx h₁
#align has_deriv_within_at.congr_mono HasDerivWithinAt.congr_mono
theorem HasDerivWithinAt.congr (h : HasDerivWithinAt f f' s x) (hs : ∀ x ∈ s, f₁ x = f x)
(hx : f₁ x = f x) : HasDerivWithinAt f₁ f' s x :=
h.congr_mono hs hx (Subset.refl _)
#align has_deriv_within_at.congr HasDerivWithinAt.congr
theorem HasDerivWithinAt.congr_of_mem (h : HasDerivWithinAt f f' s x) (hs : ∀ x ∈ s, f₁ x = f x)
(hx : x ∈ s) : HasDerivWithinAt f₁ f' s x :=
h.congr hs (hs _ hx)
#align has_deriv_within_at.congr_of_mem HasDerivWithinAt.congr_of_mem
theorem HasDerivWithinAt.congr_of_eventuallyEq (h : HasDerivWithinAt f f' s x)
(h₁ : f₁ =ᶠ[𝓝[s] x] f) (hx : f₁ x = f x) : HasDerivWithinAt f₁ f' s x :=
HasDerivAtFilter.congr_of_eventuallyEq h h₁ hx
#align has_deriv_within_at.congr_of_eventually_eq HasDerivWithinAt.congr_of_eventuallyEq
theorem Filter.EventuallyEq.hasDerivWithinAt_iff (h₁ : f₁ =ᶠ[𝓝[s] x] f) (hx : f₁ x = f x) :
HasDerivWithinAt f₁ f' s x ↔ HasDerivWithinAt f f' s x :=
⟨fun h' ↦ h'.congr_of_eventuallyEq h₁.symm hx.symm, fun h' ↦ h'.congr_of_eventuallyEq h₁ hx⟩
theorem HasDerivWithinAt.congr_of_eventuallyEq_of_mem (h : HasDerivWithinAt f f' s x)
(h₁ : f₁ =ᶠ[𝓝[s] x] f) (hx : x ∈ s) : HasDerivWithinAt f₁ f' s x :=
h.congr_of_eventuallyEq h₁ (h₁.eq_of_nhdsWithin hx)
#align has_deriv_within_at.congr_of_eventually_eq_of_mem HasDerivWithinAt.congr_of_eventuallyEq_of_mem
theorem Filter.EventuallyEq.hasDerivWithinAt_iff_of_mem (h₁ : f₁ =ᶠ[𝓝[s] x] f) (hx : x ∈ s) :
HasDerivWithinAt f₁ f' s x ↔ HasDerivWithinAt f f' s x :=
⟨fun h' ↦ h'.congr_of_eventuallyEq_of_mem h₁.symm hx,
fun h' ↦ h'.congr_of_eventuallyEq_of_mem h₁ hx⟩
theorem HasStrictDerivAt.congr_deriv (h : HasStrictDerivAt f f' x) (h' : f' = g') :
HasStrictDerivAt f g' x :=
h.congr_fderiv <| congr_arg _ h'
theorem HasDerivAt.congr_deriv (h : HasDerivAt f f' x) (h' : f' = g') : HasDerivAt f g' x :=
HasFDerivAt.congr_fderiv h <| congr_arg _ h'
theorem HasDerivWithinAt.congr_deriv (h : HasDerivWithinAt f f' s x) (h' : f' = g') :
HasDerivWithinAt f g' s x :=
HasFDerivWithinAt.congr_fderiv h <| congr_arg _ h'
theorem HasDerivAt.congr_of_eventuallyEq (h : HasDerivAt f f' x) (h₁ : f₁ =ᶠ[𝓝 x] f) :
HasDerivAt f₁ f' x :=
HasDerivAtFilter.congr_of_eventuallyEq h h₁ (mem_of_mem_nhds h₁ : _)
#align has_deriv_at.congr_of_eventually_eq HasDerivAt.congr_of_eventuallyEq
theorem Filter.EventuallyEq.hasDerivAt_iff (h : f₀ =ᶠ[𝓝 x] f₁) :
HasDerivAt f₀ f' x ↔ HasDerivAt f₁ f' x :=
⟨fun h' ↦ h'.congr_of_eventuallyEq h.symm, fun h' ↦ h'.congr_of_eventuallyEq h⟩
| Mathlib/Analysis/Calculus/Deriv/Basic.lean | 639 | 642 | theorem Filter.EventuallyEq.derivWithin_eq (hs : f₁ =ᶠ[𝓝[s] x] f) (hx : f₁ x = f x) :
derivWithin f₁ s x = derivWithin f s x := by |
unfold derivWithin
rw [hs.fderivWithin_eq hx]
|
import Mathlib.Dynamics.Ergodic.MeasurePreserving
import Mathlib.MeasureTheory.Function.SimpleFunc
import Mathlib.MeasureTheory.Measure.MutuallySingular
import Mathlib.MeasureTheory.Measure.Count
import Mathlib.Topology.IndicatorConstPointwise
import Mathlib.MeasureTheory.Constructions.BorelSpace.Real
#align_import measure_theory.integral.lebesgue from "leanprover-community/mathlib"@"c14c8fcde993801fca8946b0d80131a1a81d1520"
assert_not_exists NormedSpace
set_option autoImplicit true
noncomputable section
open Set hiding restrict restrict_apply
open Filter ENNReal
open Function (support)
open scoped Classical
open Topology NNReal ENNReal MeasureTheory
namespace MeasureTheory
local infixr:25 " →ₛ " => SimpleFunc
variable {α β γ δ : Type*}
section Lintegral
open SimpleFunc
variable {m : MeasurableSpace α} {μ ν : Measure α}
irreducible_def lintegral {_ : MeasurableSpace α} (μ : Measure α) (f : α → ℝ≥0∞) : ℝ≥0∞ :=
⨆ (g : α →ₛ ℝ≥0∞) (_ : ⇑g ≤ f), g.lintegral μ
#align measure_theory.lintegral MeasureTheory.lintegral
@[inherit_doc MeasureTheory.lintegral]
notation3 "∫⁻ "(...)", "r:60:(scoped f => f)" ∂"μ:70 => lintegral μ r
@[inherit_doc MeasureTheory.lintegral]
notation3 "∫⁻ "(...)", "r:60:(scoped f => lintegral volume f) => r
@[inherit_doc MeasureTheory.lintegral]
notation3"∫⁻ "(...)" in "s", "r:60:(scoped f => f)" ∂"μ:70 => lintegral (Measure.restrict μ s) r
@[inherit_doc MeasureTheory.lintegral]
notation3"∫⁻ "(...)" in "s", "r:60:(scoped f => lintegral (Measure.restrict volume s) f) => r
theorem SimpleFunc.lintegral_eq_lintegral {m : MeasurableSpace α} (f : α →ₛ ℝ≥0∞) (μ : Measure α) :
∫⁻ a, f a ∂μ = f.lintegral μ := by
rw [MeasureTheory.lintegral]
exact le_antisymm (iSup₂_le fun g hg => lintegral_mono hg <| le_rfl)
(le_iSup₂_of_le f le_rfl le_rfl)
#align measure_theory.simple_func.lintegral_eq_lintegral MeasureTheory.SimpleFunc.lintegral_eq_lintegral
@[mono]
theorem lintegral_mono' {m : MeasurableSpace α} ⦃μ ν : Measure α⦄ (hμν : μ ≤ ν) ⦃f g : α → ℝ≥0∞⦄
(hfg : f ≤ g) : ∫⁻ a, f a ∂μ ≤ ∫⁻ a, g a ∂ν := by
rw [lintegral, lintegral]
exact iSup_mono fun φ => iSup_mono' fun hφ => ⟨le_trans hφ hfg, lintegral_mono (le_refl φ) hμν⟩
#align measure_theory.lintegral_mono' MeasureTheory.lintegral_mono'
-- workaround for the known eta-reduction issue with `@[gcongr]`
@[gcongr] theorem lintegral_mono_fn' ⦃f g : α → ℝ≥0∞⦄ (hfg : ∀ x, f x ≤ g x) (h2 : μ ≤ ν) :
lintegral μ f ≤ lintegral ν g :=
lintegral_mono' h2 hfg
theorem lintegral_mono ⦃f g : α → ℝ≥0∞⦄ (hfg : f ≤ g) : ∫⁻ a, f a ∂μ ≤ ∫⁻ a, g a ∂μ :=
lintegral_mono' (le_refl μ) hfg
#align measure_theory.lintegral_mono MeasureTheory.lintegral_mono
-- workaround for the known eta-reduction issue with `@[gcongr]`
@[gcongr] theorem lintegral_mono_fn ⦃f g : α → ℝ≥0∞⦄ (hfg : ∀ x, f x ≤ g x) :
lintegral μ f ≤ lintegral μ g :=
lintegral_mono hfg
theorem lintegral_mono_nnreal {f g : α → ℝ≥0} (h : f ≤ g) : ∫⁻ a, f a ∂μ ≤ ∫⁻ a, g a ∂μ :=
lintegral_mono fun a => ENNReal.coe_le_coe.2 (h a)
#align measure_theory.lintegral_mono_nnreal MeasureTheory.lintegral_mono_nnreal
theorem iSup_lintegral_measurable_le_eq_lintegral (f : α → ℝ≥0∞) :
⨆ (g : α → ℝ≥0∞) (_ : Measurable g) (_ : g ≤ f), ∫⁻ a, g a ∂μ = ∫⁻ a, f a ∂μ := by
apply le_antisymm
· exact iSup_le fun i => iSup_le fun _ => iSup_le fun h'i => lintegral_mono h'i
· rw [lintegral]
refine iSup₂_le fun i hi => le_iSup₂_of_le i i.measurable <| le_iSup_of_le hi ?_
exact le_of_eq (i.lintegral_eq_lintegral _).symm
#align measure_theory.supr_lintegral_measurable_le_eq_lintegral MeasureTheory.iSup_lintegral_measurable_le_eq_lintegral
theorem lintegral_mono_set {_ : MeasurableSpace α} ⦃μ : Measure α⦄ {s t : Set α} {f : α → ℝ≥0∞}
(hst : s ⊆ t) : ∫⁻ x in s, f x ∂μ ≤ ∫⁻ x in t, f x ∂μ :=
lintegral_mono' (Measure.restrict_mono hst (le_refl μ)) (le_refl f)
#align measure_theory.lintegral_mono_set MeasureTheory.lintegral_mono_set
theorem lintegral_mono_set' {_ : MeasurableSpace α} ⦃μ : Measure α⦄ {s t : Set α} {f : α → ℝ≥0∞}
(hst : s ≤ᵐ[μ] t) : ∫⁻ x in s, f x ∂μ ≤ ∫⁻ x in t, f x ∂μ :=
lintegral_mono' (Measure.restrict_mono' hst (le_refl μ)) (le_refl f)
#align measure_theory.lintegral_mono_set' MeasureTheory.lintegral_mono_set'
theorem monotone_lintegral {_ : MeasurableSpace α} (μ : Measure α) : Monotone (lintegral μ) :=
lintegral_mono
#align measure_theory.monotone_lintegral MeasureTheory.monotone_lintegral
@[simp]
theorem lintegral_const (c : ℝ≥0∞) : ∫⁻ _, c ∂μ = c * μ univ := by
rw [← SimpleFunc.const_lintegral, ← SimpleFunc.lintegral_eq_lintegral, SimpleFunc.coe_const]
rfl
#align measure_theory.lintegral_const MeasureTheory.lintegral_const
theorem lintegral_zero : ∫⁻ _ : α, 0 ∂μ = 0 := by simp
#align measure_theory.lintegral_zero MeasureTheory.lintegral_zero
theorem lintegral_zero_fun : lintegral μ (0 : α → ℝ≥0∞) = 0 :=
lintegral_zero
#align measure_theory.lintegral_zero_fun MeasureTheory.lintegral_zero_fun
-- @[simp] -- Porting note (#10618): simp can prove this
theorem lintegral_one : ∫⁻ _, (1 : ℝ≥0∞) ∂μ = μ univ := by rw [lintegral_const, one_mul]
#align measure_theory.lintegral_one MeasureTheory.lintegral_one
theorem set_lintegral_const (s : Set α) (c : ℝ≥0∞) : ∫⁻ _ in s, c ∂μ = c * μ s := by
rw [lintegral_const, Measure.restrict_apply_univ]
#align measure_theory.set_lintegral_const MeasureTheory.set_lintegral_const
| Mathlib/MeasureTheory/Integral/Lebesgue.lean | 158 | 158 | theorem set_lintegral_one (s) : ∫⁻ _ in s, 1 ∂μ = μ s := by | rw [set_lintegral_const, one_mul]
|
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]
| Mathlib/GroupTheory/GroupAction/Period.lean | 101 | 102 | 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]
|
import Mathlib.Algebra.Polynomial.Taylor
import Mathlib.RingTheory.Ideal.LocalRing
import Mathlib.RingTheory.AdicCompletion.Basic
#align_import ring_theory.henselian from "leanprover-community/mathlib"@"d1accf4f9cddb3666c6e8e4da0ac2d19c4ed73f0"
noncomputable section
universe u v
open Polynomial LocalRing Polynomial Function List
| Mathlib/RingTheory/Henselian.lean | 65 | 82 | theorem isLocalRingHom_of_le_jacobson_bot {R : Type*} [CommRing R] (I : Ideal R)
(h : I ≤ Ideal.jacobson ⊥) : IsLocalRingHom (Ideal.Quotient.mk I) := by |
constructor
intro a h
have : IsUnit (Ideal.Quotient.mk (Ideal.jacobson ⊥) a) := by
rw [isUnit_iff_exists_inv] at *
obtain ⟨b, hb⟩ := h
obtain ⟨b, rfl⟩ := Ideal.Quotient.mk_surjective b
use Ideal.Quotient.mk _ b
rw [← (Ideal.Quotient.mk _).map_one, ← (Ideal.Quotient.mk _).map_mul, Ideal.Quotient.eq] at hb ⊢
exact h hb
obtain ⟨⟨x, y, h1, h2⟩, rfl : x = _⟩ := this
obtain ⟨y, rfl⟩ := Ideal.Quotient.mk_surjective y
rw [← (Ideal.Quotient.mk _).map_mul, ← (Ideal.Quotient.mk _).map_one, Ideal.Quotient.eq,
Ideal.mem_jacobson_bot] at h1 h2
specialize h1 1
simp? at h1 says simp only [mul_one, sub_add_cancel, IsUnit.mul_iff] at h1
exact h1.1
|
import Mathlib.Analysis.Calculus.ContDiff.Basic
import Mathlib.Analysis.Calculus.ContDiff.RCLike
import Mathlib.Analysis.Calculus.InverseFunctionTheorem.FDeriv
noncomputable section
namespace ContDiffAt
variable {𝕂 : Type*} [RCLike 𝕂]
variable {E : Type*} [NormedAddCommGroup E] [NormedSpace 𝕂 E]
variable {F : Type*} [NormedAddCommGroup F] [NormedSpace 𝕂 F]
variable [CompleteSpace E] (f : E → F) {f' : E ≃L[𝕂] F} {a : E}
def toPartialHomeomorph {n : ℕ∞} (hf : ContDiffAt 𝕂 n f a) (hf' : HasFDerivAt f (f' : E →L[𝕂] F) a)
(hn : 1 ≤ n) : PartialHomeomorph E F :=
(hf.hasStrictFDerivAt' hf' hn).toPartialHomeomorph f
#align cont_diff_at.to_local_homeomorph ContDiffAt.toPartialHomeomorph
variable {f}
@[simp]
theorem toPartialHomeomorph_coe {n : ℕ∞} (hf : ContDiffAt 𝕂 n f a)
(hf' : HasFDerivAt f (f' : E →L[𝕂] F) a) (hn : 1 ≤ n) :
(hf.toPartialHomeomorph f hf' hn : E → F) = f :=
rfl
#align cont_diff_at.to_local_homeomorph_coe ContDiffAt.toPartialHomeomorph_coe
theorem mem_toPartialHomeomorph_source {n : ℕ∞} (hf : ContDiffAt 𝕂 n f a)
(hf' : HasFDerivAt f (f' : E →L[𝕂] F) a) (hn : 1 ≤ n) :
a ∈ (hf.toPartialHomeomorph f hf' hn).source :=
(hf.hasStrictFDerivAt' hf' hn).mem_toPartialHomeomorph_source
#align cont_diff_at.mem_to_local_homeomorph_source ContDiffAt.mem_toPartialHomeomorph_source
theorem image_mem_toPartialHomeomorph_target {n : ℕ∞} (hf : ContDiffAt 𝕂 n f a)
(hf' : HasFDerivAt f (f' : E →L[𝕂] F) a) (hn : 1 ≤ n) :
f a ∈ (hf.toPartialHomeomorph f hf' hn).target :=
(hf.hasStrictFDerivAt' hf' hn).image_mem_toPartialHomeomorph_target
#align cont_diff_at.image_mem_to_local_homeomorph_target ContDiffAt.image_mem_toPartialHomeomorph_target
def localInverse {n : ℕ∞} (hf : ContDiffAt 𝕂 n f a) (hf' : HasFDerivAt f (f' : E →L[𝕂] F) a)
(hn : 1 ≤ n) : F → E :=
(hf.hasStrictFDerivAt' hf' hn).localInverse f f' a
#align cont_diff_at.local_inverse ContDiffAt.localInverse
theorem localInverse_apply_image {n : ℕ∞} (hf : ContDiffAt 𝕂 n f a)
(hf' : HasFDerivAt f (f' : E →L[𝕂] F) a) (hn : 1 ≤ n) : hf.localInverse hf' hn (f a) = a :=
(hf.hasStrictFDerivAt' hf' hn).localInverse_apply_image
#align cont_diff_at.local_inverse_apply_image ContDiffAt.localInverse_apply_image
| Mathlib/Analysis/Calculus/InverseFunctionTheorem/ContDiff.lean | 68 | 75 | theorem to_localInverse {n : ℕ∞} (hf : ContDiffAt 𝕂 n f a)
(hf' : HasFDerivAt f (f' : E →L[𝕂] F) a) (hn : 1 ≤ n) :
ContDiffAt 𝕂 n (hf.localInverse hf' hn) (f a) := by |
have := hf.localInverse_apply_image hf' hn
apply (hf.toPartialHomeomorph f hf' hn).contDiffAt_symm
(image_mem_toPartialHomeomorph_target hf hf' hn)
· convert hf'
· convert hf
|
import Mathlib.LinearAlgebra.Contraction
import Mathlib.LinearAlgebra.Matrix.Charpoly.Coeff
#align_import linear_algebra.trace from "leanprover-community/mathlib"@"4cf7ca0e69e048b006674cf4499e5c7d296a89e0"
noncomputable section
universe u v w
namespace LinearMap
open Matrix
open FiniteDimensional
open TensorProduct
section
variable (R : Type u) [CommSemiring R] {M : Type v} [AddCommMonoid M] [Module R M]
variable {ι : Type w} [DecidableEq ι] [Fintype ι]
variable {κ : Type*} [DecidableEq κ] [Fintype κ]
variable (b : Basis ι R M) (c : Basis κ R M)
def traceAux : (M →ₗ[R] M) →ₗ[R] R :=
Matrix.traceLinearMap ι R R ∘ₗ ↑(LinearMap.toMatrix b b)
#align linear_map.trace_aux LinearMap.traceAux
-- Can't be `simp` because it would cause a loop.
theorem traceAux_def (b : Basis ι R M) (f : M →ₗ[R] M) :
traceAux R b f = Matrix.trace (LinearMap.toMatrix b b f) :=
rfl
#align linear_map.trace_aux_def LinearMap.traceAux_def
theorem traceAux_eq : traceAux R b = traceAux R c :=
LinearMap.ext fun f =>
calc
Matrix.trace (LinearMap.toMatrix b b f) =
Matrix.trace (LinearMap.toMatrix b b ((LinearMap.id.comp f).comp LinearMap.id)) := by
rw [LinearMap.id_comp, LinearMap.comp_id]
_ = Matrix.trace (LinearMap.toMatrix c b LinearMap.id * LinearMap.toMatrix c c f *
LinearMap.toMatrix b c LinearMap.id) := by
rw [LinearMap.toMatrix_comp _ c, LinearMap.toMatrix_comp _ c]
_ = Matrix.trace (LinearMap.toMatrix c c f * LinearMap.toMatrix b c LinearMap.id *
LinearMap.toMatrix c b LinearMap.id) := by
rw [Matrix.mul_assoc, Matrix.trace_mul_comm]
_ = Matrix.trace (LinearMap.toMatrix c c ((f.comp LinearMap.id).comp LinearMap.id)) := by
rw [LinearMap.toMatrix_comp _ b, LinearMap.toMatrix_comp _ c]
_ = Matrix.trace (LinearMap.toMatrix c c f) := by rw [LinearMap.comp_id, LinearMap.comp_id]
#align linear_map.trace_aux_eq LinearMap.traceAux_eq
open scoped Classical
variable (M)
def trace : (M →ₗ[R] M) →ₗ[R] R :=
if H : ∃ s : Finset M, Nonempty (Basis s R M) then traceAux R H.choose_spec.some else 0
#align linear_map.trace LinearMap.trace
variable {M}
theorem trace_eq_matrix_trace_of_finset {s : Finset M} (b : Basis s R M) (f : M →ₗ[R] M) :
trace R M f = Matrix.trace (LinearMap.toMatrix b b f) := by
have : ∃ s : Finset M, Nonempty (Basis s R M) := ⟨s, ⟨b⟩⟩
rw [trace, dif_pos this, ← traceAux_def]
congr 1
apply traceAux_eq
#align linear_map.trace_eq_matrix_trace_of_finset LinearMap.trace_eq_matrix_trace_of_finset
theorem trace_eq_matrix_trace (f : M →ₗ[R] M) :
trace R M f = Matrix.trace (LinearMap.toMatrix b b f) := by
rw [trace_eq_matrix_trace_of_finset R b.reindexFinsetRange, ← traceAux_def, ← traceAux_def,
traceAux_eq R b b.reindexFinsetRange]
#align linear_map.trace_eq_matrix_trace LinearMap.trace_eq_matrix_trace
theorem trace_mul_comm (f g : M →ₗ[R] M) : trace R M (f * g) = trace R M (g * f) :=
if H : ∃ s : Finset M, Nonempty (Basis s R M) then by
let ⟨s, ⟨b⟩⟩ := H
simp_rw [trace_eq_matrix_trace R b, LinearMap.toMatrix_mul]
apply Matrix.trace_mul_comm
else by rw [trace, dif_neg H, LinearMap.zero_apply, LinearMap.zero_apply]
#align linear_map.trace_mul_comm LinearMap.trace_mul_comm
lemma trace_mul_cycle (f g h : M →ₗ[R] M) :
trace R M (f * g * h) = trace R M (h * f * g) := by
rw [LinearMap.trace_mul_comm, ← mul_assoc]
lemma trace_mul_cycle' (f g h : M →ₗ[R] M) :
trace R M (f * (g * h)) = trace R M (h * (f * g)) := by
rw [← mul_assoc, LinearMap.trace_mul_comm]
@[simp]
theorem trace_conj (g : M →ₗ[R] M) (f : (M →ₗ[R] M)ˣ) :
trace R M (↑f * g * ↑f⁻¹) = trace R M g := by
rw [trace_mul_comm]
simp
#align linear_map.trace_conj LinearMap.trace_conj
@[simp]
lemma trace_lie {R M : Type*} [CommRing R] [AddCommGroup M] [Module R M] (f g : Module.End R M) :
trace R M ⁅f, g⁆ = 0 := by
rw [Ring.lie_def, map_sub, trace_mul_comm]
exact sub_self _
end
section
variable {R : Type*} [CommRing R] {M : Type*} [AddCommGroup M] [Module R M]
variable (N P : Type*) [AddCommGroup N] [Module R N] [AddCommGroup P] [Module R P]
variable {ι : Type*}
theorem trace_eq_contract_of_basis [Finite ι] (b : Basis ι R M) :
LinearMap.trace R M ∘ₗ dualTensorHom R M M = contractLeft R M := by
classical
cases nonempty_fintype ι
apply Basis.ext (Basis.tensorProduct (Basis.dualBasis b) b)
rintro ⟨i, j⟩
simp only [Function.comp_apply, Basis.tensorProduct_apply, Basis.coe_dualBasis, coe_comp]
rw [trace_eq_matrix_trace R b, toMatrix_dualTensorHom]
by_cases hij : i = j
· rw [hij]
simp
rw [Matrix.StdBasisMatrix.trace_zero j i (1 : R) hij]
simp [Finsupp.single_eq_pi_single, hij]
#align linear_map.trace_eq_contract_of_basis LinearMap.trace_eq_contract_of_basis
theorem trace_eq_contract_of_basis' [Fintype ι] [DecidableEq ι] (b : Basis ι R M) :
LinearMap.trace R M = contractLeft R M ∘ₗ (dualTensorHomEquivOfBasis b).symm.toLinearMap := by
simp [LinearEquiv.eq_comp_toLinearMap_symm, trace_eq_contract_of_basis b]
#align linear_map.trace_eq_contract_of_basis' LinearMap.trace_eq_contract_of_basis'
variable (R M)
variable [Module.Free R M] [Module.Finite R M] [Module.Free R N] [Module.Finite R N]
[Module.Free R P] [Module.Finite R P]
@[simp]
theorem trace_eq_contract : LinearMap.trace R M ∘ₗ dualTensorHom R M M = contractLeft R M :=
trace_eq_contract_of_basis (Module.Free.chooseBasis R M)
#align linear_map.trace_eq_contract LinearMap.trace_eq_contract
@[simp]
theorem trace_eq_contract_apply (x : Module.Dual R M ⊗[R] M) :
(LinearMap.trace R M) ((dualTensorHom R M M) x) = contractLeft R M x := by
rw [← comp_apply, trace_eq_contract]
#align linear_map.trace_eq_contract_apply LinearMap.trace_eq_contract_apply
theorem trace_eq_contract' :
LinearMap.trace R M = contractLeft R M ∘ₗ (dualTensorHomEquiv R M M).symm.toLinearMap :=
trace_eq_contract_of_basis' (Module.Free.chooseBasis R M)
#align linear_map.trace_eq_contract' LinearMap.trace_eq_contract'
@[simp]
theorem trace_one : trace R M 1 = (finrank R M : R) := by
cases subsingleton_or_nontrivial R
· simp [eq_iff_true_of_subsingleton]
have b := Module.Free.chooseBasis R M
rw [trace_eq_matrix_trace R b, toMatrix_one, finrank_eq_card_chooseBasisIndex]
simp
#align linear_map.trace_one LinearMap.trace_one
@[simp]
theorem trace_id : trace R M id = (finrank R M : R) := by rw [← one_eq_id, trace_one]
#align linear_map.trace_id LinearMap.trace_id
@[simp]
theorem trace_transpose : trace R (Module.Dual R M) ∘ₗ Module.Dual.transpose = trace R M := by
let e := dualTensorHomEquiv R M M
have h : Function.Surjective e.toLinearMap := e.surjective
refine (cancel_right h).1 ?_
ext f m; simp [e]
#align linear_map.trace_transpose LinearMap.trace_transpose
theorem trace_prodMap :
trace R (M × N) ∘ₗ prodMapLinear R M N M N R =
(coprod id id : R × R →ₗ[R] R) ∘ₗ prodMap (trace R M) (trace R N) := by
let e := (dualTensorHomEquiv R M M).prod (dualTensorHomEquiv R N N)
have h : Function.Surjective e.toLinearMap := e.surjective
refine (cancel_right h).1 ?_
ext
· simp only [e, dualTensorHomEquiv, LinearEquiv.coe_prod, dualTensorHomEquivOfBasis_toLinearMap,
AlgebraTensorModule.curry_apply, curry_apply, coe_restrictScalars, coe_comp, coe_inl,
Function.comp_apply, prodMap_apply, map_zero, prodMapLinear_apply, dualTensorHom_prodMap_zero,
trace_eq_contract_apply, contractLeft_apply, fst_apply, coprod_apply, id_coe, id_eq, add_zero]
· simp only [e, dualTensorHomEquiv, LinearEquiv.coe_prod, dualTensorHomEquivOfBasis_toLinearMap,
AlgebraTensorModule.curry_apply, curry_apply, coe_restrictScalars, coe_comp, coe_inr,
Function.comp_apply, prodMap_apply, map_zero, prodMapLinear_apply, zero_prodMap_dualTensorHom,
trace_eq_contract_apply, contractLeft_apply, snd_apply, coprod_apply, id_coe, id_eq, zero_add]
#align linear_map.trace_prod_map LinearMap.trace_prodMap
variable {R M N P}
theorem trace_prodMap' (f : M →ₗ[R] M) (g : N →ₗ[R] N) :
trace R (M × N) (prodMap f g) = trace R M f + trace R N g := by
have h := ext_iff.1 (trace_prodMap R M N) (f, g)
simp only [coe_comp, Function.comp_apply, prodMap_apply, coprod_apply, id_coe, id,
prodMapLinear_apply] at h
exact h
#align linear_map.trace_prod_map' LinearMap.trace_prodMap'
variable (R M N P)
open TensorProduct Function
theorem trace_tensorProduct : compr₂ (mapBilinear R M N M N) (trace R (M ⊗ N)) =
compl₁₂ (lsmul R R : R →ₗ[R] R →ₗ[R] R) (trace R M) (trace R N) := by
apply
(compl₁₂_inj (show Surjective (dualTensorHom R M M) from (dualTensorHomEquiv R M M).surjective)
(show Surjective (dualTensorHom R N N) from (dualTensorHomEquiv R N N).surjective)).1
ext f m g n
simp only [AlgebraTensorModule.curry_apply, toFun_eq_coe, TensorProduct.curry_apply,
coe_restrictScalars, compl₁₂_apply, compr₂_apply, mapBilinear_apply,
trace_eq_contract_apply, contractLeft_apply, lsmul_apply, Algebra.id.smul_eq_mul,
map_dualTensorHom, dualDistrib_apply]
#align linear_map.trace_tensor_product LinearMap.trace_tensorProduct
theorem trace_comp_comm :
compr₂ (llcomp R M N M) (trace R M) = compr₂ (llcomp R N M N).flip (trace R N) := by
apply
(compl₁₂_inj (show Surjective (dualTensorHom R N M) from (dualTensorHomEquiv R N M).surjective)
(show Surjective (dualTensorHom R M N) from (dualTensorHomEquiv R M N).surjective)).1
ext g m f n
simp only [AlgebraTensorModule.curry_apply, TensorProduct.curry_apply,
coe_restrictScalars, compl₁₂_apply, compr₂_apply, flip_apply, llcomp_apply',
comp_dualTensorHom, LinearMapClass.map_smul, trace_eq_contract_apply,
contractLeft_apply, smul_eq_mul, mul_comm]
#align linear_map.trace_comp_comm LinearMap.trace_comp_comm
variable {R M N P}
@[simp]
theorem trace_transpose' (f : M →ₗ[R] M) :
trace R _ (Module.Dual.transpose (R := R) f) = trace R M f := by
rw [← comp_apply, trace_transpose]
#align linear_map.trace_transpose' LinearMap.trace_transpose'
theorem trace_tensorProduct' (f : M →ₗ[R] M) (g : N →ₗ[R] N) :
trace R (M ⊗ N) (map f g) = trace R M f * trace R N g := by
have h := ext_iff.1 (ext_iff.1 (trace_tensorProduct R M N) f) g
simp only [compr₂_apply, mapBilinear_apply, compl₁₂_apply, lsmul_apply,
Algebra.id.smul_eq_mul] at h
exact h
#align linear_map.trace_tensor_product' LinearMap.trace_tensorProduct'
theorem trace_comp_comm' (f : M →ₗ[R] N) (g : N →ₗ[R] M) :
trace R M (g ∘ₗ f) = trace R N (f ∘ₗ g) := by
have h := ext_iff.1 (ext_iff.1 (trace_comp_comm R M N) g) f
simp only [llcomp_apply', compr₂_apply, flip_apply] at h
exact h
#align linear_map.trace_comp_comm' LinearMap.trace_comp_comm'
lemma trace_comp_cycle (f : M →ₗ[R] N) (g : N →ₗ[R] P) (h : P →ₗ[R] M) :
trace R P (g ∘ₗ f ∘ₗ h) = trace R N (f ∘ₗ h ∘ₗ g) := by
rw [trace_comp_comm', comp_assoc]
lemma trace_comp_cycle' (f : M →ₗ[R] N) (g : N →ₗ[R] P) (h : P →ₗ[R] M) :
trace R P ((g ∘ₗ f) ∘ₗ h) = trace R M ((h ∘ₗ g) ∘ₗ f) := by
rw [trace_comp_comm', ← comp_assoc]
@[simp]
theorem trace_conj' (f : M →ₗ[R] M) (e : M ≃ₗ[R] N) : trace R N (e.conj f) = trace R M f := by
classical
by_cases hM : ∃ s : Finset M, Nonempty (Basis s R M)
· obtain ⟨s, ⟨b⟩⟩ := hM
haveI := Module.Finite.of_basis b
haveI := (Module.free_def R M).mpr ⟨_, ⟨b⟩⟩
haveI := Module.Finite.of_basis (b.map e)
haveI := (Module.free_def R N).mpr ⟨_, ⟨(b.map e).reindex (e.toEquiv.image _)⟩⟩
rw [e.conj_apply, trace_comp_comm', ← comp_assoc, LinearEquiv.comp_coe,
LinearEquiv.self_trans_symm, LinearEquiv.refl_toLinearMap, id_comp]
· rw [trace, trace, dif_neg hM, dif_neg ?_, zero_apply, zero_apply]
rintro ⟨s, ⟨b⟩⟩
exact hM ⟨s.image e.symm, ⟨(b.map e.symm).reindex
((e.symm.toEquiv.image s).trans (Equiv.Set.ofEq Finset.coe_image.symm))⟩⟩
#align linear_map.trace_conj' LinearMap.trace_conj'
| Mathlib/LinearAlgebra/Trace.lean | 310 | 313 | theorem IsProj.trace {p : Submodule R M} {f : M →ₗ[R] M} (h : IsProj p f) [Module.Free R p]
[Module.Finite R p] [Module.Free R (ker f)] [Module.Finite R (ker f)] :
trace R M f = (finrank R p : R) := by |
rw [h.eq_conj_prodMap, trace_conj', trace_prodMap', trace_id, map_zero, add_zero]
|
import Mathlib.Algebra.BigOperators.Group.List
import Mathlib.Data.Vector.Defs
import Mathlib.Data.List.Nodup
import Mathlib.Data.List.OfFn
import Mathlib.Data.List.InsertNth
import Mathlib.Control.Applicative
import Mathlib.Control.Traversable.Basic
#align_import data.vector.basic from "leanprover-community/mathlib"@"f694c7dead66f5d4c80f446c796a5aad14707f0e"
set_option autoImplicit true
universe u
variable {n : ℕ}
namespace Vector
variable {α : Type*}
@[inherit_doc]
infixr:67 " ::ᵥ " => Vector.cons
attribute [simp] head_cons tail_cons
instance [Inhabited α] : Inhabited (Vector α n) :=
⟨ofFn default⟩
theorem toList_injective : Function.Injective (@toList α n) :=
Subtype.val_injective
#align vector.to_list_injective Vector.toList_injective
@[ext]
theorem ext : ∀ {v w : Vector α n} (_ : ∀ m : Fin n, Vector.get v m = Vector.get w m), v = w
| ⟨v, hv⟩, ⟨w, hw⟩, h =>
Subtype.eq (List.ext_get (by rw [hv, hw]) fun m hm _ => h ⟨m, hv ▸ hm⟩)
#align vector.ext Vector.ext
instance zero_subsingleton : Subsingleton (Vector α 0) :=
⟨fun _ _ => Vector.ext fun m => Fin.elim0 m⟩
#align vector.zero_subsingleton Vector.zero_subsingleton
@[simp]
theorem cons_val (a : α) : ∀ v : Vector α n, (a ::ᵥ v).val = a :: v.val
| ⟨_, _⟩ => rfl
#align vector.cons_val Vector.cons_val
#align vector.cons_head Vector.head_cons
#align vector.cons_tail Vector.tail_cons
theorem eq_cons_iff (a : α) (v : Vector α n.succ) (v' : Vector α n) :
v = a ::ᵥ v' ↔ v.head = a ∧ v.tail = v' :=
⟨fun h => h.symm ▸ ⟨head_cons a v', tail_cons a v'⟩, fun h =>
_root_.trans (cons_head_tail v).symm (by rw [h.1, h.2])⟩
#align vector.eq_cons_iff Vector.eq_cons_iff
theorem ne_cons_iff (a : α) (v : Vector α n.succ) (v' : Vector α n) :
v ≠ a ::ᵥ v' ↔ v.head ≠ a ∨ v.tail ≠ v' := by rw [Ne, eq_cons_iff a v v', not_and_or]
#align vector.ne_cons_iff Vector.ne_cons_iff
theorem exists_eq_cons (v : Vector α n.succ) : ∃ (a : α) (as : Vector α n), v = a ::ᵥ as :=
⟨v.head, v.tail, (eq_cons_iff v.head v v.tail).2 ⟨rfl, rfl⟩⟩
#align vector.exists_eq_cons Vector.exists_eq_cons
@[simp]
theorem toList_ofFn : ∀ {n} (f : Fin n → α), toList (ofFn f) = List.ofFn f
| 0, f => by rw [ofFn, List.ofFn_zero, toList, nil]
| n + 1, f => by rw [ofFn, List.ofFn_succ, toList_cons, toList_ofFn]
#align vector.to_list_of_fn Vector.toList_ofFn
@[simp]
theorem mk_toList : ∀ (v : Vector α n) (h), (⟨toList v, h⟩ : Vector α n) = v
| ⟨_, _⟩, _ => rfl
#align vector.mk_to_list Vector.mk_toList
@[simp] theorem length_val (v : Vector α n) : v.val.length = n := v.2
-- Porting note: not used in mathlib and coercions done differently in Lean 4
-- @[simp]
-- theorem length_coe (v : Vector α n) :
-- ((coe : { l : List α // l.length = n } → List α) v).length = n :=
-- v.2
#noalign vector.length_coe
@[simp]
theorem toList_map {β : Type*} (v : Vector α n) (f : α → β) :
(v.map f).toList = v.toList.map f := by cases v; rfl
#align vector.to_list_map Vector.toList_map
@[simp]
theorem head_map {β : Type*} (v : Vector α (n + 1)) (f : α → β) : (v.map f).head = f v.head := by
obtain ⟨a, v', h⟩ := Vector.exists_eq_cons v
rw [h, map_cons, head_cons, head_cons]
#align vector.head_map Vector.head_map
@[simp]
theorem tail_map {β : Type*} (v : Vector α (n + 1)) (f : α → β) :
(v.map f).tail = v.tail.map f := by
obtain ⟨a, v', h⟩ := Vector.exists_eq_cons v
rw [h, map_cons, tail_cons, tail_cons]
#align vector.tail_map Vector.tail_map
theorem get_eq_get (v : Vector α n) (i : Fin n) :
v.get i = v.toList.get (Fin.cast v.toList_length.symm i) :=
rfl
#align vector.nth_eq_nth_le Vector.get_eq_getₓ
@[simp]
theorem get_replicate (a : α) (i : Fin n) : (Vector.replicate n a).get i = a := by
apply List.get_replicate
#align vector.nth_repeat Vector.get_replicate
@[simp]
theorem get_map {β : Type*} (v : Vector α n) (f : α → β) (i : Fin n) :
(v.map f).get i = f (v.get i) := by
cases v; simp [Vector.map, get_eq_get]; rfl
#align vector.nth_map Vector.get_map
@[simp]
theorem map₂_nil (f : α → β → γ) : Vector.map₂ f nil nil = nil :=
rfl
@[simp]
theorem map₂_cons (hd₁ : α) (tl₁ : Vector α n) (hd₂ : β) (tl₂ : Vector β n) (f : α → β → γ) :
Vector.map₂ f (hd₁ ::ᵥ tl₁) (hd₂ ::ᵥ tl₂) = f hd₁ hd₂ ::ᵥ (Vector.map₂ f tl₁ tl₂) :=
rfl
@[simp]
| Mathlib/Data/Vector/Basic.lean | 144 | 147 | theorem get_ofFn {n} (f : Fin n → α) (i) : get (ofFn f) i = f i := by |
conv_rhs => erw [← List.get_ofFn f ⟨i, by simp⟩]
simp only [get_eq_get]
congr <;> simp [Fin.heq_ext_iff]
|
import Mathlib.CategoryTheory.ConcreteCategory.Basic
import Mathlib.Util.AddRelatedDecl
import Batteries.Tactic.Lint
set_option autoImplicit true
open Lean Meta Elab Tactic
open Mathlib.Tactic
namespace Tactic.Elementwise
open CategoryTheory
section theorems
theorem forall_congr_forget_Type (α : Type u) (p : α → Prop) :
(∀ (x : (forget (Type u)).obj α), p x) ↔ ∀ (x : α), p x := Iff.rfl
attribute [local instance] ConcreteCategory.instFunLike ConcreteCategory.hasCoeToSort
theorem forget_hom_Type (α β : Type u) (f : α ⟶ β) : DFunLike.coe f = f := rfl
| Mathlib/Tactic/CategoryTheory/Elementwise.lean | 52 | 53 | theorem hom_elementwise [Category C] [ConcreteCategory C]
{X Y : C} {f g : X ⟶ Y} (h : f = g) (x : X) : f x = g x := by | rw [h]
|
import Mathlib.CategoryTheory.Balanced
import Mathlib.CategoryTheory.LiftingProperties.Basic
#align_import category_theory.limits.shapes.strong_epi from "leanprover-community/mathlib"@"32253a1a1071173b33dc7d6a218cf722c6feb514"
universe v u
namespace CategoryTheory
variable {C : Type u} [Category.{v} C]
variable {P Q : C}
class StrongEpi (f : P ⟶ Q) : Prop where
epi : Epi f
llp : ∀ ⦃X Y : C⦄ (z : X ⟶ Y) [Mono z], HasLiftingProperty f z
#align category_theory.strong_epi CategoryTheory.StrongEpi
#align category_theory.strong_epi.epi CategoryTheory.StrongEpi.epi
theorem StrongEpi.mk' {f : P ⟶ Q} [Epi f]
(hf : ∀ (X Y : C) (z : X ⟶ Y)
(_ : Mono z) (u : P ⟶ X) (v : Q ⟶ Y) (sq : CommSq u f z v), sq.HasLift) :
StrongEpi f :=
{ epi := inferInstance
llp := fun {X Y} z hz => ⟨fun {u v} sq => hf X Y z hz u v sq⟩ }
#align category_theory.strong_epi.mk' CategoryTheory.StrongEpi.mk'
class StrongMono (f : P ⟶ Q) : Prop where
mono : Mono f
rlp : ∀ ⦃X Y : C⦄ (z : X ⟶ Y) [Epi z], HasLiftingProperty z f
#align category_theory.strong_mono CategoryTheory.StrongMono
theorem StrongMono.mk' {f : P ⟶ Q} [Mono f]
(hf : ∀ (X Y : C) (z : X ⟶ Y) (_ : Epi z) (u : X ⟶ P)
(v : Y ⟶ Q) (sq : CommSq u z f v), sq.HasLift) : StrongMono f where
mono := inferInstance
rlp := fun {X Y} z hz => ⟨fun {u v} sq => hf X Y z hz u v sq⟩
#align category_theory.strong_mono.mk' CategoryTheory.StrongMono.mk'
attribute [instance 100] StrongEpi.llp
attribute [instance 100] StrongMono.rlp
instance (priority := 100) epi_of_strongEpi (f : P ⟶ Q) [StrongEpi f] : Epi f :=
StrongEpi.epi
#align category_theory.epi_of_strong_epi CategoryTheory.epi_of_strongEpi
instance (priority := 100) mono_of_strongMono (f : P ⟶ Q) [StrongMono f] : Mono f :=
StrongMono.mono
#align category_theory.mono_of_strong_mono CategoryTheory.mono_of_strongMono
section
variable {R : C} (f : P ⟶ Q) (g : Q ⟶ R)
theorem strongEpi_comp [StrongEpi f] [StrongEpi g] : StrongEpi (f ≫ g) :=
{ epi := epi_comp _ _
llp := by
intros
infer_instance }
#align category_theory.strong_epi_comp CategoryTheory.strongEpi_comp
theorem strongMono_comp [StrongMono f] [StrongMono g] : StrongMono (f ≫ g) :=
{ mono := mono_comp _ _
rlp := by
intros
infer_instance }
#align category_theory.strong_mono_comp CategoryTheory.strongMono_comp
theorem strongEpi_of_strongEpi [StrongEpi (f ≫ g)] : StrongEpi g :=
{ epi := epi_of_epi f g
llp := fun {X Y} z _ => by
constructor
intro u v sq
have h₀ : (f ≫ u) ≫ z = (f ≫ g) ≫ v := by simp only [Category.assoc, sq.w]
exact
CommSq.HasLift.mk'
⟨(CommSq.mk h₀).lift, by
simp only [← cancel_mono z, Category.assoc, CommSq.fac_right, sq.w], by simp⟩ }
#align category_theory.strong_epi_of_strong_epi CategoryTheory.strongEpi_of_strongEpi
theorem strongMono_of_strongMono [StrongMono (f ≫ g)] : StrongMono f :=
{ mono := mono_of_mono f g
rlp := fun {X Y} z => by
intros
constructor
intro u v sq
have h₀ : u ≫ f ≫ g = z ≫ v ≫ g := by
rw [← Category.assoc, eq_whisker sq.w, Category.assoc]
exact CommSq.HasLift.mk' ⟨(CommSq.mk h₀).lift, by simp, by simp [← cancel_epi z, sq.w]⟩ }
#align category_theory.strong_mono_of_strong_mono CategoryTheory.strongMono_of_strongMono
instance (priority := 100) strongEpi_of_isIso [IsIso f] : StrongEpi f where
epi := by infer_instance
llp {X Y} z := HasLiftingProperty.of_left_iso _ _
#align category_theory.strong_epi_of_is_iso CategoryTheory.strongEpi_of_isIso
instance (priority := 100) strongMono_of_isIso [IsIso f] : StrongMono f where
mono := by infer_instance
rlp {X Y} z := HasLiftingProperty.of_right_iso _ _
#align category_theory.strong_mono_of_is_iso CategoryTheory.strongMono_of_isIso
theorem StrongEpi.of_arrow_iso {A B A' B' : C} {f : A ⟶ B} {g : A' ⟶ B'}
(e : Arrow.mk f ≅ Arrow.mk g) [h : StrongEpi f] : StrongEpi g :=
{ epi := by
rw [Arrow.iso_w' e]
haveI := epi_comp f e.hom.right
apply epi_comp
llp := fun {X Y} z => by
intro
apply HasLiftingProperty.of_arrow_iso_left e z }
#align category_theory.strong_epi.of_arrow_iso CategoryTheory.StrongEpi.of_arrow_iso
theorem StrongMono.of_arrow_iso {A B A' B' : C} {f : A ⟶ B} {g : A' ⟶ B'}
(e : Arrow.mk f ≅ Arrow.mk g) [h : StrongMono f] : StrongMono g :=
{ mono := by
rw [Arrow.iso_w' e]
haveI := mono_comp f e.hom.right
apply mono_comp
rlp := fun {X Y} z => by
intro
apply HasLiftingProperty.of_arrow_iso_right z e }
#align category_theory.strong_mono.of_arrow_iso CategoryTheory.StrongMono.of_arrow_iso
theorem StrongEpi.iff_of_arrow_iso {A B A' B' : C} {f : A ⟶ B} {g : A' ⟶ B'}
(e : Arrow.mk f ≅ Arrow.mk g) : StrongEpi f ↔ StrongEpi g := by
constructor <;> intro
exacts [StrongEpi.of_arrow_iso e, StrongEpi.of_arrow_iso e.symm]
#align category_theory.strong_epi.iff_of_arrow_iso CategoryTheory.StrongEpi.iff_of_arrow_iso
| Mathlib/CategoryTheory/Limits/Shapes/StrongEpi.lean | 178 | 181 | theorem StrongMono.iff_of_arrow_iso {A B A' B' : C} {f : A ⟶ B} {g : A' ⟶ B'}
(e : Arrow.mk f ≅ Arrow.mk g) : StrongMono f ↔ StrongMono g := by |
constructor <;> intro
exacts [StrongMono.of_arrow_iso e, StrongMono.of_arrow_iso e.symm]
|
import Mathlib.Data.Int.Interval
import Mathlib.Data.Int.SuccPred
import Mathlib.Data.Int.ConditionallyCompleteOrder
import Mathlib.Topology.Instances.Discrete
import Mathlib.Topology.MetricSpace.Bounded
import Mathlib.Order.Filter.Archimedean
#align_import topology.instances.int from "leanprover-community/mathlib"@"70fd9563a21e7b963887c9360bd29b2393e6225a"
noncomputable section
open Metric Set Filter
namespace Int
instance : Dist ℤ :=
⟨fun x y => dist (x : ℝ) y⟩
theorem dist_eq (x y : ℤ) : dist x y = |(x : ℝ) - y| := rfl
#align int.dist_eq Int.dist_eq
| Mathlib/Topology/Instances/Int.lean | 34 | 34 | theorem dist_eq' (m n : ℤ) : dist m n = |m - n| := by | rw [dist_eq]; norm_cast
|
import Mathlib.Algebra.Group.Basic
import Mathlib.Algebra.Group.Pi.Basic
import Mathlib.Order.Fin
import Mathlib.Order.PiLex
import Mathlib.Order.Interval.Set.Basic
#align_import data.fin.tuple.basic from "leanprover-community/mathlib"@"ef997baa41b5c428be3fb50089a7139bf4ee886b"
assert_not_exists MonoidWithZero
universe u v
namespace Fin
variable {m n : ℕ}
open Function
section Tuple
example (α : Fin 0 → Sort u) : Unique (∀ i : Fin 0, α i) := by infer_instance
theorem tuple0_le {α : Fin 0 → Type*} [∀ i, Preorder (α i)] (f g : ∀ i, α i) : f ≤ g :=
finZeroElim
#align fin.tuple0_le Fin.tuple0_le
variable {α : Fin (n + 1) → Type u} (x : α 0) (q : ∀ i, α i) (p : ∀ i : Fin n, α i.succ) (i : Fin n)
(y : α i.succ) (z : α 0)
def tail (q : ∀ i, α i) : ∀ i : Fin n, α i.succ := fun i ↦ q i.succ
#align fin.tail Fin.tail
theorem tail_def {n : ℕ} {α : Fin (n + 1) → Type*} {q : ∀ i, α i} :
(tail fun k : Fin (n + 1) ↦ q k) = fun k : Fin n ↦ q k.succ :=
rfl
#align fin.tail_def Fin.tail_def
def cons (x : α 0) (p : ∀ i : Fin n, α i.succ) : ∀ i, α i := fun j ↦ Fin.cases x p j
#align fin.cons Fin.cons
@[simp]
theorem tail_cons : tail (cons x p) = p := by
simp (config := { unfoldPartialApp := true }) [tail, cons]
#align fin.tail_cons Fin.tail_cons
@[simp]
theorem cons_succ : cons x p i.succ = p i := by simp [cons]
#align fin.cons_succ Fin.cons_succ
@[simp]
theorem cons_zero : cons x p 0 = x := by simp [cons]
#align fin.cons_zero Fin.cons_zero
@[simp]
theorem cons_one {α : Fin (n + 2) → Type*} (x : α 0) (p : ∀ i : Fin n.succ, α i.succ) :
cons x p 1 = p 0 := by
rw [← cons_succ x p]; rfl
@[simp]
theorem cons_update : cons x (update p i y) = update (cons x p) i.succ y := by
ext j
by_cases h : j = 0
· rw [h]
simp [Ne.symm (succ_ne_zero i)]
· let j' := pred j h
have : j'.succ = j := succ_pred j h
rw [← this, cons_succ]
by_cases h' : j' = i
· rw [h']
simp
· have : j'.succ ≠ i.succ := by rwa [Ne, succ_inj]
rw [update_noteq h', update_noteq this, cons_succ]
#align fin.cons_update Fin.cons_update
theorem cons_injective2 : Function.Injective2 (@cons n α) := fun x₀ y₀ x y h ↦
⟨congr_fun h 0, funext fun i ↦ by simpa using congr_fun h (Fin.succ i)⟩
#align fin.cons_injective2 Fin.cons_injective2
@[simp]
theorem cons_eq_cons {x₀ y₀ : α 0} {x y : ∀ i : Fin n, α i.succ} :
cons x₀ x = cons y₀ y ↔ x₀ = y₀ ∧ x = y :=
cons_injective2.eq_iff
#align fin.cons_eq_cons Fin.cons_eq_cons
theorem cons_left_injective (x : ∀ i : Fin n, α i.succ) : Function.Injective fun x₀ ↦ cons x₀ x :=
cons_injective2.left _
#align fin.cons_left_injective Fin.cons_left_injective
theorem cons_right_injective (x₀ : α 0) : Function.Injective (cons x₀) :=
cons_injective2.right _
#align fin.cons_right_injective Fin.cons_right_injective
theorem update_cons_zero : update (cons x p) 0 z = cons z p := by
ext j
by_cases h : j = 0
· rw [h]
simp
· simp only [h, update_noteq, Ne, not_false_iff]
let j' := pred j h
have : j'.succ = j := succ_pred j h
rw [← this, cons_succ, cons_succ]
#align fin.update_cons_zero Fin.update_cons_zero
@[simp, nolint simpNF] -- Porting note: linter claims LHS doesn't simplify
theorem cons_self_tail : cons (q 0) (tail q) = q := by
ext j
by_cases h : j = 0
· rw [h]
simp
· let j' := pred j h
have : j'.succ = j := succ_pred j h
rw [← this]
unfold tail
rw [cons_succ]
#align fin.cons_self_tail Fin.cons_self_tail
-- Porting note: Mathport removes `_root_`?
@[elab_as_elim]
def consCases {P : (∀ i : Fin n.succ, α i) → Sort v} (h : ∀ x₀ x, P (Fin.cons x₀ x))
(x : ∀ i : Fin n.succ, α i) : P x :=
_root_.cast (by rw [cons_self_tail]) <| h (x 0) (tail x)
#align fin.cons_cases Fin.consCases
@[simp]
theorem consCases_cons {P : (∀ i : Fin n.succ, α i) → Sort v} (h : ∀ x₀ x, P (Fin.cons x₀ x))
(x₀ : α 0) (x : ∀ i : Fin n, α i.succ) : @consCases _ _ _ h (cons x₀ x) = h x₀ x := by
rw [consCases, cast_eq]
congr
#align fin.cons_cases_cons Fin.consCases_cons
@[elab_as_elim]
def consInduction {α : Type*} {P : ∀ {n : ℕ}, (Fin n → α) → Sort v} (h0 : P Fin.elim0)
(h : ∀ {n} (x₀) (x : Fin n → α), P x → P (Fin.cons x₀ x)) : ∀ {n : ℕ} (x : Fin n → α), P x
| 0, x => by convert h0
| n + 1, x => consCases (fun x₀ x ↦ h _ _ <| consInduction h0 h _) x
#align fin.cons_induction Fin.consInductionₓ -- Porting note: universes
theorem cons_injective_of_injective {α} {x₀ : α} {x : Fin n → α} (hx₀ : x₀ ∉ Set.range x)
(hx : Function.Injective x) : Function.Injective (cons x₀ x : Fin n.succ → α) := by
refine Fin.cases ?_ ?_
· refine Fin.cases ?_ ?_
· intro
rfl
· intro j h
rw [cons_zero, cons_succ] at h
exact hx₀.elim ⟨_, h.symm⟩
· intro i
refine Fin.cases ?_ ?_
· intro h
rw [cons_zero, cons_succ] at h
exact hx₀.elim ⟨_, h⟩
· intro j h
rw [cons_succ, cons_succ] at h
exact congr_arg _ (hx h)
#align fin.cons_injective_of_injective Fin.cons_injective_of_injective
theorem cons_injective_iff {α} {x₀ : α} {x : Fin n → α} :
Function.Injective (cons x₀ x : Fin n.succ → α) ↔ x₀ ∉ Set.range x ∧ Function.Injective x := by
refine ⟨fun h ↦ ⟨?_, ?_⟩, fun h ↦ cons_injective_of_injective h.1 h.2⟩
· rintro ⟨i, hi⟩
replace h := @h i.succ 0
simp [hi, succ_ne_zero] at h
· simpa [Function.comp] using h.comp (Fin.succ_injective _)
#align fin.cons_injective_iff Fin.cons_injective_iff
@[simp]
theorem forall_fin_zero_pi {α : Fin 0 → Sort*} {P : (∀ i, α i) → Prop} :
(∀ x, P x) ↔ P finZeroElim :=
⟨fun h ↦ h _, fun h x ↦ Subsingleton.elim finZeroElim x ▸ h⟩
#align fin.forall_fin_zero_pi Fin.forall_fin_zero_pi
@[simp]
theorem exists_fin_zero_pi {α : Fin 0 → Sort*} {P : (∀ i, α i) → Prop} :
(∃ x, P x) ↔ P finZeroElim :=
⟨fun ⟨x, h⟩ ↦ Subsingleton.elim x finZeroElim ▸ h, fun h ↦ ⟨_, h⟩⟩
#align fin.exists_fin_zero_pi Fin.exists_fin_zero_pi
theorem forall_fin_succ_pi {P : (∀ i, α i) → Prop} : (∀ x, P x) ↔ ∀ a v, P (Fin.cons a v) :=
⟨fun h a v ↦ h (Fin.cons a v), consCases⟩
#align fin.forall_fin_succ_pi Fin.forall_fin_succ_pi
theorem exists_fin_succ_pi {P : (∀ i, α i) → Prop} : (∃ x, P x) ↔ ∃ a v, P (Fin.cons a v) :=
⟨fun ⟨x, h⟩ ↦ ⟨x 0, tail x, (cons_self_tail x).symm ▸ h⟩, fun ⟨_, _, h⟩ ↦ ⟨_, h⟩⟩
#align fin.exists_fin_succ_pi Fin.exists_fin_succ_pi
@[simp]
theorem tail_update_zero : tail (update q 0 z) = tail q := by
ext j
simp [tail, Fin.succ_ne_zero]
#align fin.tail_update_zero Fin.tail_update_zero
@[simp]
theorem tail_update_succ : tail (update q i.succ y) = update (tail q) i y := by
ext j
by_cases h : j = i
· rw [h]
simp [tail]
· simp [tail, (Fin.succ_injective n).ne h, h]
#align fin.tail_update_succ Fin.tail_update_succ
theorem comp_cons {α : Type*} {β : Type*} (g : α → β) (y : α) (q : Fin n → α) :
g ∘ cons y q = cons (g y) (g ∘ q) := by
ext j
by_cases h : j = 0
· rw [h]
rfl
· let j' := pred j h
have : j'.succ = j := succ_pred j h
rw [← this, cons_succ, comp_apply, comp_apply, cons_succ]
#align fin.comp_cons Fin.comp_cons
theorem comp_tail {α : Type*} {β : Type*} (g : α → β) (q : Fin n.succ → α) :
g ∘ tail q = tail (g ∘ q) := by
ext j
simp [tail]
#align fin.comp_tail Fin.comp_tail
theorem le_cons [∀ i, Preorder (α i)] {x : α 0} {q : ∀ i, α i} {p : ∀ i : Fin n, α i.succ} :
q ≤ cons x p ↔ q 0 ≤ x ∧ tail q ≤ p :=
forall_fin_succ.trans <| and_congr Iff.rfl <| forall_congr' fun j ↦ by simp [tail]
#align fin.le_cons Fin.le_cons
theorem cons_le [∀ i, Preorder (α i)] {x : α 0} {q : ∀ i, α i} {p : ∀ i : Fin n, α i.succ} :
cons x p ≤ q ↔ x ≤ q 0 ∧ p ≤ tail q :=
@le_cons _ (fun i ↦ (α i)ᵒᵈ) _ x q p
#align fin.cons_le Fin.cons_le
theorem cons_le_cons [∀ i, Preorder (α i)] {x₀ y₀ : α 0} {x y : ∀ i : Fin n, α i.succ} :
cons x₀ x ≤ cons y₀ y ↔ x₀ ≤ y₀ ∧ x ≤ y :=
forall_fin_succ.trans <| and_congr_right' <| by simp only [cons_succ, Pi.le_def]
#align fin.cons_le_cons Fin.cons_le_cons
theorem pi_lex_lt_cons_cons {x₀ y₀ : α 0} {x y : ∀ i : Fin n, α i.succ}
(s : ∀ {i : Fin n.succ}, α i → α i → Prop) :
Pi.Lex (· < ·) (@s) (Fin.cons x₀ x) (Fin.cons y₀ y) ↔
s x₀ y₀ ∨ x₀ = y₀ ∧ Pi.Lex (· < ·) (@fun i : Fin n ↦ @s i.succ) x y := by
simp_rw [Pi.Lex, Fin.exists_fin_succ, Fin.cons_succ, Fin.cons_zero, Fin.forall_fin_succ]
simp [and_assoc, exists_and_left]
#align fin.pi_lex_lt_cons_cons Fin.pi_lex_lt_cons_cons
theorem range_fin_succ {α} (f : Fin (n + 1) → α) :
Set.range f = insert (f 0) (Set.range (Fin.tail f)) :=
Set.ext fun _ ↦ exists_fin_succ.trans <| eq_comm.or Iff.rfl
#align fin.range_fin_succ Fin.range_fin_succ
@[simp]
theorem range_cons {α : Type*} {n : ℕ} (x : α) (b : Fin n → α) :
Set.range (Fin.cons x b : Fin n.succ → α) = insert x (Set.range b) := by
rw [range_fin_succ, cons_zero, tail_cons]
#align fin.range_cons Fin.range_cons
section InsertNth
variable {α : Fin (n + 1) → Type u} {β : Type v}
@[elab_as_elim]
def succAboveCases {α : Fin (n + 1) → Sort u} (i : Fin (n + 1)) (x : α i)
(p : ∀ j : Fin n, α (i.succAbove j)) (j : Fin (n + 1)) : α j :=
if hj : j = i then Eq.rec x hj.symm
else
if hlt : j < i then @Eq.recOn _ _ (fun x _ ↦ α x) _ (succAbove_castPred_of_lt _ _ hlt) (p _)
else @Eq.recOn _ _ (fun x _ ↦ α x) _ (succAbove_pred_of_lt _ _ <|
(Ne.lt_or_lt hj).resolve_left hlt) (p _)
#align fin.succ_above_cases Fin.succAboveCases
theorem forall_iff_succAbove {p : Fin (n + 1) → Prop} (i : Fin (n + 1)) :
(∀ j, p j) ↔ p i ∧ ∀ j, p (i.succAbove j) :=
⟨fun h ↦ ⟨h _, fun _ ↦ h _⟩, fun h ↦ succAboveCases i h.1 h.2⟩
#align fin.forall_iff_succ_above Fin.forall_iff_succAbove
def insertNth (i : Fin (n + 1)) (x : α i) (p : ∀ j : Fin n, α (i.succAbove j)) (j : Fin (n + 1)) :
α j :=
succAboveCases i x p j
#align fin.insert_nth Fin.insertNth
@[simp]
theorem insertNth_apply_same (i : Fin (n + 1)) (x : α i) (p : ∀ j, α (i.succAbove j)) :
insertNth i x p i = x := by simp [insertNth, succAboveCases]
#align fin.insert_nth_apply_same Fin.insertNth_apply_same
@[simp]
| Mathlib/Data/Fin/Tuple/Basic.lean | 779 | 790 | theorem insertNth_apply_succAbove (i : Fin (n + 1)) (x : α i) (p : ∀ j, α (i.succAbove j))
(j : Fin n) : insertNth i x p (i.succAbove j) = p j := by |
simp only [insertNth, succAboveCases, dif_neg (succAbove_ne _ _), succAbove_lt_iff_castSucc_lt]
split_ifs with hlt
· generalize_proofs H₁ H₂; revert H₂
generalize hk : castPred ((succAbove i) j) H₁ = k
rw [castPred_succAbove _ _ hlt] at hk; cases hk
intro; rfl
· generalize_proofs H₁ H₂; revert H₂
generalize hk : pred (succAbove i j) H₁ = k
erw [pred_succAbove _ _ (le_of_not_lt hlt)] at hk; cases hk
intro; rfl
|
import Mathlib.CategoryTheory.Category.Cat
import Mathlib.CategoryTheory.Limits.Types
import Mathlib.CategoryTheory.Limits.Preserves.Basic
#align_import category_theory.category.Cat.limit from "leanprover-community/mathlib"@"1995c7bbdbb0adb1b6d5acdc654f6cf46ed96cfa"
noncomputable section
universe v u
open CategoryTheory.Limits
namespace CategoryTheory
variable {J : Type v} [SmallCategory J]
namespace Cat
namespace HasLimits
instance categoryObjects {F : J ⥤ Cat.{u, u}} {j} :
SmallCategory ((F ⋙ Cat.objects.{u, u}).obj j) :=
(F.obj j).str
set_option linter.uppercaseLean3 false in
#align category_theory.Cat.has_limits.category_objects CategoryTheory.Cat.HasLimits.categoryObjects
@[simps]
def homDiagram {F : J ⥤ Cat.{v, v}} (X Y : limit (F ⋙ Cat.objects.{v, v})) : J ⥤ Type v where
obj j := limit.π (F ⋙ Cat.objects) j X ⟶ limit.π (F ⋙ Cat.objects) j Y
map f g := by
refine eqToHom ?_ ≫ (F.map f).map g ≫ eqToHom ?_
· exact (congr_fun (limit.w (F ⋙ Cat.objects) f) X).symm
· exact congr_fun (limit.w (F ⋙ Cat.objects) f) Y
map_id X := by
funext f
letI : Category (objects.obj (F.obj X)) := (inferInstance : Category (F.obj X))
simp [Functor.congr_hom (F.map_id X) f]
map_comp {_ _ Z} f g := by
funext h
letI : Category (objects.obj (F.obj Z)) := (inferInstance : Category (F.obj Z))
simp [Functor.congr_hom (F.map_comp f g) h, eqToHom_map]
set_option linter.uppercaseLean3 false in
#align category_theory.Cat.has_limits.hom_diagram CategoryTheory.Cat.HasLimits.homDiagram
@[simps]
instance (F : J ⥤ Cat.{v, v}) : Category (limit (F ⋙ Cat.objects)) where
Hom X Y := limit (homDiagram X Y)
id X := Types.Limit.mk.{v, v} (homDiagram X X) (fun j => 𝟙 _) fun j j' f => by simp
comp {X Y Z} f g :=
Types.Limit.mk.{v, v} (homDiagram X Z)
(fun j => limit.π (homDiagram X Y) j f ≫ limit.π (homDiagram Y Z) j g) fun j j' h => by
simp [← congr_fun (limit.w (homDiagram X Y) h) f,
← congr_fun (limit.w (homDiagram Y Z) h) g]
id_comp _ := by
apply Types.limit_ext.{v, v}
aesop_cat
comp_id _ := by
apply Types.limit_ext.{v, v}
aesop_cat
@[simps]
def limitConeX (F : J ⥤ Cat.{v, v}) : Cat.{v, v} where α := limit (F ⋙ Cat.objects)
set_option linter.uppercaseLean3 false in
#align category_theory.Cat.has_limits.limit_cone_X CategoryTheory.Cat.HasLimits.limitConeX
@[simps]
def limitCone (F : J ⥤ Cat.{v, v}) : Cone F where
pt := limitConeX F
π :=
{ app := fun j =>
{ obj := limit.π (F ⋙ Cat.objects) j
map := fun f => limit.π (homDiagram _ _) j f }
naturality := fun j j' f =>
CategoryTheory.Functor.ext (fun X => (congr_fun (limit.w (F ⋙ Cat.objects) f) X).symm)
fun X Y h => (congr_fun (limit.w (homDiagram X Y) f) h).symm }
set_option linter.uppercaseLean3 false in
#align category_theory.Cat.has_limits.limit_cone CategoryTheory.Cat.HasLimits.limitCone
@[simps]
def limitConeLift (F : J ⥤ Cat.{v, v}) (s : Cone F) : s.pt ⟶ limitConeX F where
obj :=
limit.lift (F ⋙ Cat.objects)
{ pt := s.pt
π :=
{ app := fun j => (s.π.app j).obj
naturality := fun _ _ f => objects.congr_map (s.π.naturality f) } }
map f := by
fapply Types.Limit.mk.{v, v}
· intro j
refine eqToHom ?_ ≫ (s.π.app j).map f ≫ eqToHom ?_ <;> simp
· intro j j' h
dsimp
simp only [Category.assoc, Functor.map_comp, eqToHom_map, eqToHom_trans,
eqToHom_trans_assoc, ← Functor.comp_map]
have := (s.π.naturality h).symm
dsimp at this
rw [Category.id_comp] at this
erw [Functor.congr_hom this f]
simp
set_option linter.uppercaseLean3 false in
#align category_theory.Cat.has_limits.limit_cone_lift CategoryTheory.Cat.HasLimits.limitConeLift
@[simp]
| Mathlib/CategoryTheory/Category/Cat/Limit.lean | 127 | 132 | theorem limit_π_homDiagram_eqToHom {F : J ⥤ Cat.{v, v}} (X Y : limit (F ⋙ Cat.objects.{v, v}))
(j : J) (h : X = Y) :
limit.π (homDiagram X Y) j (eqToHom h) =
eqToHom (congr_arg (limit.π (F ⋙ Cat.objects.{v, v}) j) h) := by |
subst h
simp
|
import Mathlib.Logic.Relation
import Mathlib.Data.Option.Basic
import Mathlib.Data.Seq.Seq
#align_import data.seq.wseq from "leanprover-community/mathlib"@"a7e36e48519ab281320c4d192da6a7b348ce40ad"
namespace Stream'
open Function
universe u v w
def WSeq (α) :=
Seq (Option α)
#align stream.wseq Stream'.WSeq
namespace WSeq
variable {α : Type u} {β : Type v} {γ : Type w}
@[coe]
def ofSeq : Seq α → WSeq α :=
(· <$> ·) some
#align stream.wseq.of_seq Stream'.WSeq.ofSeq
@[coe]
def ofList (l : List α) : WSeq α :=
ofSeq l
#align stream.wseq.of_list Stream'.WSeq.ofList
@[coe]
def ofStream (l : Stream' α) : WSeq α :=
ofSeq l
#align stream.wseq.of_stream Stream'.WSeq.ofStream
instance coeSeq : Coe (Seq α) (WSeq α) :=
⟨ofSeq⟩
#align stream.wseq.coe_seq Stream'.WSeq.coeSeq
instance coeList : Coe (List α) (WSeq α) :=
⟨ofList⟩
#align stream.wseq.coe_list Stream'.WSeq.coeList
instance coeStream : Coe (Stream' α) (WSeq α) :=
⟨ofStream⟩
#align stream.wseq.coe_stream Stream'.WSeq.coeStream
def nil : WSeq α :=
Seq.nil
#align stream.wseq.nil Stream'.WSeq.nil
instance inhabited : Inhabited (WSeq α) :=
⟨nil⟩
#align stream.wseq.inhabited Stream'.WSeq.inhabited
def cons (a : α) : WSeq α → WSeq α :=
Seq.cons (some a)
#align stream.wseq.cons Stream'.WSeq.cons
def think : WSeq α → WSeq α :=
Seq.cons none
#align stream.wseq.think Stream'.WSeq.think
def destruct : WSeq α → Computation (Option (α × WSeq α)) :=
Computation.corec fun s =>
match Seq.destruct s with
| none => Sum.inl none
| some (none, s') => Sum.inr s'
| some (some a, s') => Sum.inl (some (a, s'))
#align stream.wseq.destruct Stream'.WSeq.destruct
def recOn {C : WSeq α → Sort v} (s : WSeq α) (h1 : C nil) (h2 : ∀ x s, C (cons x s))
(h3 : ∀ s, C (think s)) : C s :=
Seq.recOn s h1 fun o => Option.recOn o h3 h2
#align stream.wseq.rec_on Stream'.WSeq.recOn
protected def Mem (a : α) (s : WSeq α) :=
Seq.Mem (some a) s
#align stream.wseq.mem Stream'.WSeq.Mem
instance membership : Membership α (WSeq α) :=
⟨WSeq.Mem⟩
#align stream.wseq.has_mem Stream'.WSeq.membership
theorem not_mem_nil (a : α) : a ∉ @nil α :=
Seq.not_mem_nil (some a)
#align stream.wseq.not_mem_nil Stream'.WSeq.not_mem_nil
def head (s : WSeq α) : Computation (Option α) :=
Computation.map (Prod.fst <$> ·) (destruct s)
#align stream.wseq.head Stream'.WSeq.head
def flatten : Computation (WSeq α) → WSeq α :=
Seq.corec fun c =>
match Computation.destruct c with
| Sum.inl s => Seq.omap (return ·) (Seq.destruct s)
| Sum.inr c' => some (none, c')
#align stream.wseq.flatten Stream'.WSeq.flatten
def tail (s : WSeq α) : WSeq α :=
flatten <| (fun o => Option.recOn o nil Prod.snd) <$> destruct s
#align stream.wseq.tail Stream'.WSeq.tail
def drop (s : WSeq α) : ℕ → WSeq α
| 0 => s
| n + 1 => tail (drop s n)
#align stream.wseq.drop Stream'.WSeq.drop
def get? (s : WSeq α) (n : ℕ) : Computation (Option α) :=
head (drop s n)
#align stream.wseq.nth Stream'.WSeq.get?
def toList (s : WSeq α) : Computation (List α) :=
@Computation.corec (List α) (List α × WSeq α)
(fun ⟨l, s⟩ =>
match Seq.destruct s with
| none => Sum.inl l.reverse
| some (none, s') => Sum.inr (l, s')
| some (some a, s') => Sum.inr (a::l, s'))
([], s)
#align stream.wseq.to_list Stream'.WSeq.toList
def length (s : WSeq α) : Computation ℕ :=
@Computation.corec ℕ (ℕ × WSeq α)
(fun ⟨n, s⟩ =>
match Seq.destruct s with
| none => Sum.inl n
| some (none, s') => Sum.inr (n, s')
| some (some _, s') => Sum.inr (n + 1, s'))
(0, s)
#align stream.wseq.length Stream'.WSeq.length
class IsFinite (s : WSeq α) : Prop where
out : (toList s).Terminates
#align stream.wseq.is_finite Stream'.WSeq.IsFinite
instance toList_terminates (s : WSeq α) [h : IsFinite s] : (toList s).Terminates :=
h.out
#align stream.wseq.to_list_terminates Stream'.WSeq.toList_terminates
def get (s : WSeq α) [IsFinite s] : List α :=
(toList s).get
#align stream.wseq.get Stream'.WSeq.get
class Productive (s : WSeq α) : Prop where
get?_terminates : ∀ n, (get? s n).Terminates
#align stream.wseq.productive Stream'.WSeq.Productive
#align stream.wseq.productive.nth_terminates Stream'.WSeq.Productive.get?_terminates
theorem productive_iff (s : WSeq α) : Productive s ↔ ∀ n, (get? s n).Terminates :=
⟨fun h => h.1, fun h => ⟨h⟩⟩
#align stream.wseq.productive_iff Stream'.WSeq.productive_iff
instance get?_terminates (s : WSeq α) [h : Productive s] : ∀ n, (get? s n).Terminates :=
h.get?_terminates
#align stream.wseq.nth_terminates Stream'.WSeq.get?_terminates
instance head_terminates (s : WSeq α) [Productive s] : (head s).Terminates :=
s.get?_terminates 0
#align stream.wseq.head_terminates Stream'.WSeq.head_terminates
def updateNth (s : WSeq α) (n : ℕ) (a : α) : WSeq α :=
@Seq.corec (Option α) (ℕ × WSeq α)
(fun ⟨n, s⟩ =>
match Seq.destruct s, n with
| none, _ => none
| some (none, s'), n => some (none, n, s')
| some (some a', s'), 0 => some (some a', 0, s')
| some (some _, s'), 1 => some (some a, 0, s')
| some (some a', s'), n + 2 => some (some a', n + 1, s'))
(n + 1, s)
#align stream.wseq.update_nth Stream'.WSeq.updateNth
def removeNth (s : WSeq α) (n : ℕ) : WSeq α :=
@Seq.corec (Option α) (ℕ × WSeq α)
(fun ⟨n, s⟩ =>
match Seq.destruct s, n with
| none, _ => none
| some (none, s'), n => some (none, n, s')
| some (some a', s'), 0 => some (some a', 0, s')
| some (some _, s'), 1 => some (none, 0, s')
| some (some a', s'), n + 2 => some (some a', n + 1, s'))
(n + 1, s)
#align stream.wseq.remove_nth Stream'.WSeq.removeNth
def filterMap (f : α → Option β) : WSeq α → WSeq β :=
Seq.corec fun s =>
match Seq.destruct s with
| none => none
| some (none, s') => some (none, s')
| some (some a, s') => some (f a, s')
#align stream.wseq.filter_map Stream'.WSeq.filterMap
def filter (p : α → Prop) [DecidablePred p] : WSeq α → WSeq α :=
filterMap fun a => if p a then some a else none
#align stream.wseq.filter Stream'.WSeq.filter
-- example of infinite list manipulations
def find (p : α → Prop) [DecidablePred p] (s : WSeq α) : Computation (Option α) :=
head <| filter p s
#align stream.wseq.find Stream'.WSeq.find
def zipWith (f : α → β → γ) (s1 : WSeq α) (s2 : WSeq β) : WSeq γ :=
@Seq.corec (Option γ) (WSeq α × WSeq β)
(fun ⟨s1, s2⟩ =>
match Seq.destruct s1, Seq.destruct s2 with
| some (none, s1'), some (none, s2') => some (none, s1', s2')
| some (some _, _), some (none, s2') => some (none, s1, s2')
| some (none, s1'), some (some _, _) => some (none, s1', s2)
| some (some a1, s1'), some (some a2, s2') => some (some (f a1 a2), s1', s2')
| _, _ => none)
(s1, s2)
#align stream.wseq.zip_with Stream'.WSeq.zipWith
def zip : WSeq α → WSeq β → WSeq (α × β) :=
zipWith Prod.mk
#align stream.wseq.zip Stream'.WSeq.zip
def findIndexes (p : α → Prop) [DecidablePred p] (s : WSeq α) : WSeq ℕ :=
(zip s (Stream'.nats : WSeq ℕ)).filterMap fun ⟨a, n⟩ => if p a then some n else none
#align stream.wseq.find_indexes Stream'.WSeq.findIndexes
def findIndex (p : α → Prop) [DecidablePred p] (s : WSeq α) : Computation ℕ :=
(fun o => Option.getD o 0) <$> head (findIndexes p s)
#align stream.wseq.find_index Stream'.WSeq.findIndex
def indexOf [DecidableEq α] (a : α) : WSeq α → Computation ℕ :=
findIndex (Eq a)
#align stream.wseq.index_of Stream'.WSeq.indexOf
def indexesOf [DecidableEq α] (a : α) : WSeq α → WSeq ℕ :=
findIndexes (Eq a)
#align stream.wseq.indexes_of Stream'.WSeq.indexesOf
def union (s1 s2 : WSeq α) : WSeq α :=
@Seq.corec (Option α) (WSeq α × WSeq α)
(fun ⟨s1, s2⟩ =>
match Seq.destruct s1, Seq.destruct s2 with
| none, none => none
| some (a1, s1'), none => some (a1, s1', nil)
| none, some (a2, s2') => some (a2, nil, s2')
| some (none, s1'), some (none, s2') => some (none, s1', s2')
| some (some a1, s1'), some (none, s2') => some (some a1, s1', s2')
| some (none, s1'), some (some a2, s2') => some (some a2, s1', s2')
| some (some a1, s1'), some (some a2, s2') => some (some a1, cons a2 s1', s2'))
(s1, s2)
#align stream.wseq.union Stream'.WSeq.union
def isEmpty (s : WSeq α) : Computation Bool :=
Computation.map Option.isNone <| head s
#align stream.wseq.is_empty Stream'.WSeq.isEmpty
def compute (s : WSeq α) : WSeq α :=
match Seq.destruct s with
| some (none, s') => s'
| _ => s
#align stream.wseq.compute Stream'.WSeq.compute
def take (s : WSeq α) (n : ℕ) : WSeq α :=
@Seq.corec (Option α) (ℕ × WSeq α)
(fun ⟨n, s⟩ =>
match n, Seq.destruct s with
| 0, _ => none
| _ + 1, none => none
| m + 1, some (none, s') => some (none, m + 1, s')
| m + 1, some (some a, s') => some (some a, m, s'))
(n, s)
#align stream.wseq.take Stream'.WSeq.take
def splitAt (s : WSeq α) (n : ℕ) : Computation (List α × WSeq α) :=
@Computation.corec (List α × WSeq α) (ℕ × List α × WSeq α)
(fun ⟨n, l, s⟩ =>
match n, Seq.destruct s with
| 0, _ => Sum.inl (l.reverse, s)
| _ + 1, none => Sum.inl (l.reverse, s)
| _ + 1, some (none, s') => Sum.inr (n, l, s')
| m + 1, some (some a, s') => Sum.inr (m, a::l, s'))
(n, [], s)
#align stream.wseq.split_at Stream'.WSeq.splitAt
def any (s : WSeq α) (p : α → Bool) : Computation Bool :=
Computation.corec
(fun s : WSeq α =>
match Seq.destruct s with
| none => Sum.inl false
| some (none, s') => Sum.inr s'
| some (some a, s') => if p a then Sum.inl true else Sum.inr s')
s
#align stream.wseq.any Stream'.WSeq.any
def all (s : WSeq α) (p : α → Bool) : Computation Bool :=
Computation.corec
(fun s : WSeq α =>
match Seq.destruct s with
| none => Sum.inl true
| some (none, s') => Sum.inr s'
| some (some a, s') => if p a then Sum.inr s' else Sum.inl false)
s
#align stream.wseq.all Stream'.WSeq.all
def scanl (f : α → β → α) (a : α) (s : WSeq β) : WSeq α :=
cons a <|
@Seq.corec (Option α) (α × WSeq β)
(fun ⟨a, s⟩ =>
match Seq.destruct s with
| none => none
| some (none, s') => some (none, a, s')
| some (some b, s') =>
let a' := f a b
some (some a', a', s'))
(a, s)
#align stream.wseq.scanl Stream'.WSeq.scanl
def inits (s : WSeq α) : WSeq (List α) :=
cons [] <|
@Seq.corec (Option (List α)) (Batteries.DList α × WSeq α)
(fun ⟨l, s⟩ =>
match Seq.destruct s with
| none => none
| some (none, s') => some (none, l, s')
| some (some a, s') =>
let l' := l.push a
some (some l'.toList, l', s'))
(Batteries.DList.empty, s)
#align stream.wseq.inits Stream'.WSeq.inits
def collect (s : WSeq α) (n : ℕ) : List α :=
(Seq.take n s).filterMap id
#align stream.wseq.collect Stream'.WSeq.collect
def append : WSeq α → WSeq α → WSeq α :=
Seq.append
#align stream.wseq.append Stream'.WSeq.append
def map (f : α → β) : WSeq α → WSeq β :=
Seq.map (Option.map f)
#align stream.wseq.map Stream'.WSeq.map
def join (S : WSeq (WSeq α)) : WSeq α :=
Seq.join
((fun o : Option (WSeq α) =>
match o with
| none => Seq1.ret none
| some s => (none, s)) <$>
S)
#align stream.wseq.join Stream'.WSeq.join
def bind (s : WSeq α) (f : α → WSeq β) : WSeq β :=
join (map f s)
#align stream.wseq.bind Stream'.WSeq.bind
@[simp]
def LiftRelO (R : α → β → Prop) (C : WSeq α → WSeq β → Prop) :
Option (α × WSeq α) → Option (β × WSeq β) → Prop
| none, none => True
| some (a, s), some (b, t) => R a b ∧ C s t
| _, _ => False
#align stream.wseq.lift_rel_o Stream'.WSeq.LiftRelO
theorem LiftRelO.imp {R S : α → β → Prop} {C D : WSeq α → WSeq β → Prop} (H1 : ∀ a b, R a b → S a b)
(H2 : ∀ s t, C s t → D s t) : ∀ {o p}, LiftRelO R C o p → LiftRelO S D o p
| none, none, _ => trivial
| some (_, _), some (_, _), h => And.imp (H1 _ _) (H2 _ _) h
| none, some _, h => False.elim h
| some (_, _), none, h => False.elim h
#align stream.wseq.lift_rel_o.imp Stream'.WSeq.LiftRelO.imp
theorem LiftRelO.imp_right (R : α → β → Prop) {C D : WSeq α → WSeq β → Prop}
(H : ∀ s t, C s t → D s t) {o p} : LiftRelO R C o p → LiftRelO R D o p :=
LiftRelO.imp (fun _ _ => id) H
#align stream.wseq.lift_rel_o.imp_right Stream'.WSeq.LiftRelO.imp_right
@[simp]
def BisimO (R : WSeq α → WSeq α → Prop) : Option (α × WSeq α) → Option (α × WSeq α) → Prop :=
LiftRelO (· = ·) R
#align stream.wseq.bisim_o Stream'.WSeq.BisimO
theorem BisimO.imp {R S : WSeq α → WSeq α → Prop} (H : ∀ s t, R s t → S s t) {o p} :
BisimO R o p → BisimO S o p :=
LiftRelO.imp_right _ H
#align stream.wseq.bisim_o.imp Stream'.WSeq.BisimO.imp
def LiftRel (R : α → β → Prop) (s : WSeq α) (t : WSeq β) : Prop :=
∃ C : WSeq α → WSeq β → Prop,
C s t ∧ ∀ {s t}, C s t → Computation.LiftRel (LiftRelO R C) (destruct s) (destruct t)
#align stream.wseq.lift_rel Stream'.WSeq.LiftRel
def Equiv : WSeq α → WSeq α → Prop :=
LiftRel (· = ·)
#align stream.wseq.equiv Stream'.WSeq.Equiv
theorem liftRel_destruct {R : α → β → Prop} {s : WSeq α} {t : WSeq β} :
LiftRel R s t → Computation.LiftRel (LiftRelO R (LiftRel R)) (destruct s) (destruct t)
| ⟨R, h1, h2⟩ => by
refine Computation.LiftRel.imp ?_ _ _ (h2 h1)
apply LiftRelO.imp_right
exact fun s' t' h' => ⟨R, h', @h2⟩
#align stream.wseq.lift_rel_destruct Stream'.WSeq.liftRel_destruct
theorem liftRel_destruct_iff {R : α → β → Prop} {s : WSeq α} {t : WSeq β} :
LiftRel R s t ↔ Computation.LiftRel (LiftRelO R (LiftRel R)) (destruct s) (destruct t) :=
⟨liftRel_destruct, fun h =>
⟨fun s t =>
LiftRel R s t ∨ Computation.LiftRel (LiftRelO R (LiftRel R)) (destruct s) (destruct t),
Or.inr h, fun {s t} h => by
have h : Computation.LiftRel (LiftRelO R (LiftRel R)) (destruct s) (destruct t) := by
cases' h with h h
· exact liftRel_destruct h
· assumption
apply Computation.LiftRel.imp _ _ _ h
intro a b
apply LiftRelO.imp_right
intro s t
apply Or.inl⟩⟩
#align stream.wseq.lift_rel_destruct_iff Stream'.WSeq.liftRel_destruct_iff
-- Porting note: To avoid ambiguous notation, `~` became `~ʷ`.
infixl:50 " ~ʷ " => Equiv
theorem destruct_congr {s t : WSeq α} :
s ~ʷ t → Computation.LiftRel (BisimO (· ~ʷ ·)) (destruct s) (destruct t) :=
liftRel_destruct
#align stream.wseq.destruct_congr Stream'.WSeq.destruct_congr
theorem destruct_congr_iff {s t : WSeq α} :
s ~ʷ t ↔ Computation.LiftRel (BisimO (· ~ʷ ·)) (destruct s) (destruct t) :=
liftRel_destruct_iff
#align stream.wseq.destruct_congr_iff Stream'.WSeq.destruct_congr_iff
theorem LiftRel.refl (R : α → α → Prop) (H : Reflexive R) : Reflexive (LiftRel R) := fun s => by
refine ⟨(· = ·), rfl, fun {s t} (h : s = t) => ?_⟩
rw [← h]
apply Computation.LiftRel.refl
intro a
cases' a with a
· simp
· cases a
simp only [LiftRelO, and_true]
apply H
#align stream.wseq.lift_rel.refl Stream'.WSeq.LiftRel.refl
theorem LiftRelO.swap (R : α → β → Prop) (C) :
swap (LiftRelO R C) = LiftRelO (swap R) (swap C) := by
funext x y
rcases x with ⟨⟩ | ⟨hx, jx⟩ <;> rcases y with ⟨⟩ | ⟨hy, jy⟩ <;> rfl
#align stream.wseq.lift_rel_o.swap Stream'.WSeq.LiftRelO.swap
theorem LiftRel.swap_lem {R : α → β → Prop} {s1 s2} (h : LiftRel R s1 s2) :
LiftRel (swap R) s2 s1 := by
refine ⟨swap (LiftRel R), h, fun {s t} (h : LiftRel R t s) => ?_⟩
rw [← LiftRelO.swap, Computation.LiftRel.swap]
apply liftRel_destruct h
#align stream.wseq.lift_rel.swap_lem Stream'.WSeq.LiftRel.swap_lem
theorem LiftRel.swap (R : α → β → Prop) : swap (LiftRel R) = LiftRel (swap R) :=
funext fun _ => funext fun _ => propext ⟨LiftRel.swap_lem, LiftRel.swap_lem⟩
#align stream.wseq.lift_rel.swap Stream'.WSeq.LiftRel.swap
theorem LiftRel.symm (R : α → α → Prop) (H : Symmetric R) : Symmetric (LiftRel R) :=
fun s1 s2 (h : Function.swap (LiftRel R) s2 s1) => by rwa [LiftRel.swap, H.swap_eq] at h
#align stream.wseq.lift_rel.symm Stream'.WSeq.LiftRel.symm
theorem LiftRel.trans (R : α → α → Prop) (H : Transitive R) : Transitive (LiftRel R) :=
fun s t u h1 h2 => by
refine ⟨fun s u => ∃ t, LiftRel R s t ∧ LiftRel R t u, ⟨t, h1, h2⟩, fun {s u} h => ?_⟩
rcases h with ⟨t, h1, h2⟩
have h1 := liftRel_destruct h1
have h2 := liftRel_destruct h2
refine
Computation.liftRel_def.2
⟨(Computation.terminates_of_liftRel h1).trans (Computation.terminates_of_liftRel h2),
fun {a c} ha hc => ?_⟩
rcases h1.left ha with ⟨b, hb, t1⟩
have t2 := Computation.rel_of_liftRel h2 hb hc
cases' a with a <;> cases' c with c
· trivial
· cases b
· cases t2
· cases t1
· cases a
cases' b with b
· cases t1
· cases b
cases t2
· cases' a with a s
cases' b with b
· cases t1
cases' b with b t
cases' c with c u
cases' t1 with ab st
cases' t2 with bc tu
exact ⟨H ab bc, t, st, tu⟩
#align stream.wseq.lift_rel.trans Stream'.WSeq.LiftRel.trans
theorem LiftRel.equiv (R : α → α → Prop) : Equivalence R → Equivalence (LiftRel R)
| ⟨refl, symm, trans⟩ => ⟨LiftRel.refl R refl, @(LiftRel.symm R @symm), @(LiftRel.trans R @trans)⟩
#align stream.wseq.lift_rel.equiv Stream'.WSeq.LiftRel.equiv
@[refl]
theorem Equiv.refl : ∀ s : WSeq α, s ~ʷ s :=
LiftRel.refl (· = ·) Eq.refl
#align stream.wseq.equiv.refl Stream'.WSeq.Equiv.refl
@[symm]
theorem Equiv.symm : ∀ {s t : WSeq α}, s ~ʷ t → t ~ʷ s :=
@(LiftRel.symm (· = ·) (@Eq.symm _))
#align stream.wseq.equiv.symm Stream'.WSeq.Equiv.symm
@[trans]
theorem Equiv.trans : ∀ {s t u : WSeq α}, s ~ʷ t → t ~ʷ u → s ~ʷ u :=
@(LiftRel.trans (· = ·) (@Eq.trans _))
#align stream.wseq.equiv.trans Stream'.WSeq.Equiv.trans
theorem Equiv.equivalence : Equivalence (@Equiv α) :=
⟨@Equiv.refl _, @Equiv.symm _, @Equiv.trans _⟩
#align stream.wseq.equiv.equivalence Stream'.WSeq.Equiv.equivalence
open Computation
@[simp]
theorem destruct_nil : destruct (nil : WSeq α) = Computation.pure none :=
Computation.destruct_eq_pure rfl
#align stream.wseq.destruct_nil Stream'.WSeq.destruct_nil
@[simp]
theorem destruct_cons (a : α) (s) : destruct (cons a s) = Computation.pure (some (a, s)) :=
Computation.destruct_eq_pure <| by simp [destruct, cons, Computation.rmap]
#align stream.wseq.destruct_cons Stream'.WSeq.destruct_cons
@[simp]
theorem destruct_think (s : WSeq α) : destruct (think s) = (destruct s).think :=
Computation.destruct_eq_think <| by simp [destruct, think, Computation.rmap]
#align stream.wseq.destruct_think Stream'.WSeq.destruct_think
@[simp]
theorem seq_destruct_nil : Seq.destruct (nil : WSeq α) = none :=
Seq.destruct_nil
#align stream.wseq.seq_destruct_nil Stream'.WSeq.seq_destruct_nil
@[simp]
theorem seq_destruct_cons (a : α) (s) : Seq.destruct (cons a s) = some (some a, s) :=
Seq.destruct_cons _ _
#align stream.wseq.seq_destruct_cons Stream'.WSeq.seq_destruct_cons
@[simp]
theorem seq_destruct_think (s : WSeq α) : Seq.destruct (think s) = some (none, s) :=
Seq.destruct_cons _ _
#align stream.wseq.seq_destruct_think Stream'.WSeq.seq_destruct_think
@[simp]
theorem head_nil : head (nil : WSeq α) = Computation.pure none := by simp [head]
#align stream.wseq.head_nil Stream'.WSeq.head_nil
@[simp]
theorem head_cons (a : α) (s) : head (cons a s) = Computation.pure (some a) := by simp [head]
#align stream.wseq.head_cons Stream'.WSeq.head_cons
@[simp]
theorem head_think (s : WSeq α) : head (think s) = (head s).think := by simp [head]
#align stream.wseq.head_think Stream'.WSeq.head_think
@[simp]
theorem flatten_pure (s : WSeq α) : flatten (Computation.pure s) = s := by
refine Seq.eq_of_bisim (fun s1 s2 => flatten (Computation.pure s2) = s1) ?_ rfl
intro s' s h
rw [← h]
simp only [Seq.BisimO, flatten, Seq.omap, pure_def, Seq.corec_eq, destruct_pure]
cases Seq.destruct s with
| none => simp
| some val =>
cases' val with o s'
simp
#align stream.wseq.flatten_ret Stream'.WSeq.flatten_pure
@[simp]
theorem flatten_think (c : Computation (WSeq α)) : flatten c.think = think (flatten c) :=
Seq.destruct_eq_cons <| by simp [flatten, think]
#align stream.wseq.flatten_think Stream'.WSeq.flatten_think
@[simp]
theorem destruct_flatten (c : Computation (WSeq α)) : destruct (flatten c) = c >>= destruct := by
refine
Computation.eq_of_bisim
(fun c1 c2 => c1 = c2 ∨ ∃ c, c1 = destruct (flatten c) ∧ c2 = Computation.bind c destruct) ?_
(Or.inr ⟨c, rfl, rfl⟩)
intro c1 c2 h
exact
match c1, c2, h with
| c, _, Or.inl rfl => by cases c.destruct <;> simp
| _, _, Or.inr ⟨c, rfl, rfl⟩ => by
induction' c using Computation.recOn with a c' <;> simp
· cases (destruct a).destruct <;> simp
· exact Or.inr ⟨c', rfl, rfl⟩
#align stream.wseq.destruct_flatten Stream'.WSeq.destruct_flatten
theorem head_terminates_iff (s : WSeq α) : Terminates (head s) ↔ Terminates (destruct s) :=
terminates_map_iff _ (destruct s)
#align stream.wseq.head_terminates_iff Stream'.WSeq.head_terminates_iff
@[simp]
theorem tail_nil : tail (nil : WSeq α) = nil := by simp [tail]
#align stream.wseq.tail_nil Stream'.WSeq.tail_nil
@[simp]
theorem tail_cons (a : α) (s) : tail (cons a s) = s := by simp [tail]
#align stream.wseq.tail_cons Stream'.WSeq.tail_cons
@[simp]
theorem tail_think (s : WSeq α) : tail (think s) = (tail s).think := by simp [tail]
#align stream.wseq.tail_think Stream'.WSeq.tail_think
@[simp]
theorem dropn_nil (n) : drop (nil : WSeq α) n = nil := by induction n <;> simp [*, drop]
#align stream.wseq.dropn_nil Stream'.WSeq.dropn_nil
@[simp]
theorem dropn_cons (a : α) (s) (n) : drop (cons a s) (n + 1) = drop s n := by
induction n with
| zero => simp [drop]
| succ n n_ih =>
-- porting note (#10745): was `simp [*, drop]`.
simp [drop, ← n_ih]
#align stream.wseq.dropn_cons Stream'.WSeq.dropn_cons
@[simp]
theorem dropn_think (s : WSeq α) (n) : drop (think s) n = (drop s n).think := by
induction n <;> simp [*, drop]
#align stream.wseq.dropn_think Stream'.WSeq.dropn_think
theorem dropn_add (s : WSeq α) (m) : ∀ n, drop s (m + n) = drop (drop s m) n
| 0 => rfl
| n + 1 => congr_arg tail (dropn_add s m n)
#align stream.wseq.dropn_add Stream'.WSeq.dropn_add
theorem dropn_tail (s : WSeq α) (n) : drop (tail s) n = drop s (n + 1) := by
rw [Nat.add_comm]
symm
apply dropn_add
#align stream.wseq.dropn_tail Stream'.WSeq.dropn_tail
theorem get?_add (s : WSeq α) (m n) : get? s (m + n) = get? (drop s m) n :=
congr_arg head (dropn_add _ _ _)
#align stream.wseq.nth_add Stream'.WSeq.get?_add
theorem get?_tail (s : WSeq α) (n) : get? (tail s) n = get? s (n + 1) :=
congr_arg head (dropn_tail _ _)
#align stream.wseq.nth_tail Stream'.WSeq.get?_tail
@[simp]
theorem join_nil : join nil = (nil : WSeq α) :=
Seq.join_nil
#align stream.wseq.join_nil Stream'.WSeq.join_nil
@[simp]
theorem join_think (S : WSeq (WSeq α)) : join (think S) = think (join S) := by
simp only [join, think]
dsimp only [(· <$> ·)]
simp [join, Seq1.ret]
#align stream.wseq.join_think Stream'.WSeq.join_think
@[simp]
theorem join_cons (s : WSeq α) (S) : join (cons s S) = think (append s (join S)) := by
simp only [join, think]
dsimp only [(· <$> ·)]
simp [join, cons, append]
#align stream.wseq.join_cons Stream'.WSeq.join_cons
@[simp]
theorem nil_append (s : WSeq α) : append nil s = s :=
Seq.nil_append _
#align stream.wseq.nil_append Stream'.WSeq.nil_append
@[simp]
theorem cons_append (a : α) (s t) : append (cons a s) t = cons a (append s t) :=
Seq.cons_append _ _ _
#align stream.wseq.cons_append Stream'.WSeq.cons_append
@[simp]
theorem think_append (s t : WSeq α) : append (think s) t = think (append s t) :=
Seq.cons_append _ _ _
#align stream.wseq.think_append Stream'.WSeq.think_append
@[simp]
theorem append_nil (s : WSeq α) : append s nil = s :=
Seq.append_nil _
#align stream.wseq.append_nil Stream'.WSeq.append_nil
@[simp]
theorem append_assoc (s t u : WSeq α) : append (append s t) u = append s (append t u) :=
Seq.append_assoc _ _ _
#align stream.wseq.append_assoc Stream'.WSeq.append_assoc
@[simp]
def tail.aux : Option (α × WSeq α) → Computation (Option (α × WSeq α))
| none => Computation.pure none
| some (_, s) => destruct s
#align stream.wseq.tail.aux Stream'.WSeq.tail.aux
theorem destruct_tail (s : WSeq α) : destruct (tail s) = destruct s >>= tail.aux := by
simp only [tail, destruct_flatten, tail.aux]; rw [← bind_pure_comp, LawfulMonad.bind_assoc]
apply congr_arg; ext1 (_ | ⟨a, s⟩) <;> apply (@pure_bind Computation _ _ _ _ _ _).trans _ <;> simp
#align stream.wseq.destruct_tail Stream'.WSeq.destruct_tail
@[simp]
def drop.aux : ℕ → Option (α × WSeq α) → Computation (Option (α × WSeq α))
| 0 => Computation.pure
| n + 1 => fun a => tail.aux a >>= drop.aux n
#align stream.wseq.drop.aux Stream'.WSeq.drop.aux
theorem drop.aux_none : ∀ n, @drop.aux α n none = Computation.pure none
| 0 => rfl
| n + 1 =>
show Computation.bind (Computation.pure none) (drop.aux n) = Computation.pure none by
rw [ret_bind, drop.aux_none n]
#align stream.wseq.drop.aux_none Stream'.WSeq.drop.aux_none
theorem destruct_dropn : ∀ (s : WSeq α) (n), destruct (drop s n) = destruct s >>= drop.aux n
| s, 0 => (bind_pure' _).symm
| s, n + 1 => by
rw [← dropn_tail, destruct_dropn _ n, destruct_tail, LawfulMonad.bind_assoc]
rfl
#align stream.wseq.destruct_dropn Stream'.WSeq.destruct_dropn
theorem head_terminates_of_head_tail_terminates (s : WSeq α) [T : Terminates (head (tail s))] :
Terminates (head s) :=
(head_terminates_iff _).2 <| by
rcases (head_terminates_iff _).1 T with ⟨⟨a, h⟩⟩
simp? [tail] at h says simp only [tail, destruct_flatten] at h
rcases exists_of_mem_bind h with ⟨s', h1, _⟩
unfold Functor.map at h1
exact
let ⟨t, h3, _⟩ := Computation.exists_of_mem_map h1
Computation.terminates_of_mem h3
#align stream.wseq.head_terminates_of_head_tail_terminates Stream'.WSeq.head_terminates_of_head_tail_terminates
theorem destruct_some_of_destruct_tail_some {s : WSeq α} {a} (h : some a ∈ destruct (tail s)) :
∃ a', some a' ∈ destruct s := by
unfold tail Functor.map at h; simp only [destruct_flatten] at h
rcases exists_of_mem_bind h with ⟨t, tm, td⟩; clear h
rcases Computation.exists_of_mem_map tm with ⟨t', ht', ht2⟩; clear tm
cases' t' with t' <;> rw [← ht2] at td <;> simp only [destruct_nil] at td
· have := mem_unique td (ret_mem _)
contradiction
· exact ⟨_, ht'⟩
#align stream.wseq.destruct_some_of_destruct_tail_some Stream'.WSeq.destruct_some_of_destruct_tail_some
theorem head_some_of_head_tail_some {s : WSeq α} {a} (h : some a ∈ head (tail s)) :
∃ a', some a' ∈ head s := by
unfold head at h
rcases Computation.exists_of_mem_map h with ⟨o, md, e⟩; clear h
cases' o with o <;> [injection e; injection e with h']; clear h'
cases' destruct_some_of_destruct_tail_some md with a am
exact ⟨_, Computation.mem_map (@Prod.fst α (WSeq α) <$> ·) am⟩
#align stream.wseq.head_some_of_head_tail_some Stream'.WSeq.head_some_of_head_tail_some
theorem head_some_of_get?_some {s : WSeq α} {a n} (h : some a ∈ get? s n) :
∃ a', some a' ∈ head s := by
induction n generalizing a with
| zero => exact ⟨_, h⟩
| succ n IH =>
let ⟨a', h'⟩ := head_some_of_head_tail_some h
exact IH h'
#align stream.wseq.head_some_of_nth_some Stream'.WSeq.head_some_of_get?_some
instance productive_tail (s : WSeq α) [Productive s] : Productive (tail s) :=
⟨fun n => by rw [get?_tail]; infer_instance⟩
#align stream.wseq.productive_tail Stream'.WSeq.productive_tail
instance productive_dropn (s : WSeq α) [Productive s] (n) : Productive (drop s n) :=
⟨fun m => by rw [← get?_add]; infer_instance⟩
#align stream.wseq.productive_dropn Stream'.WSeq.productive_dropn
def toSeq (s : WSeq α) [Productive s] : Seq α :=
⟨fun n => (get? s n).get,
fun {n} h => by
cases e : Computation.get (get? s (n + 1))
· assumption
have := Computation.mem_of_get_eq _ e
simp? [get?] at this h says simp only [get?] at this h
cases' head_some_of_head_tail_some this with a' h'
have := mem_unique h' (@Computation.mem_of_get_eq _ _ _ _ h)
contradiction⟩
#align stream.wseq.to_seq Stream'.WSeq.toSeq
theorem get?_terminates_le {s : WSeq α} {m n} (h : m ≤ n) :
Terminates (get? s n) → Terminates (get? s m) := by
induction' h with m' _ IH
exacts [id, fun T => IH (@head_terminates_of_head_tail_terminates _ _ T)]
#align stream.wseq.nth_terminates_le Stream'.WSeq.get?_terminates_le
theorem head_terminates_of_get?_terminates {s : WSeq α} {n} :
Terminates (get? s n) → Terminates (head s) :=
get?_terminates_le (Nat.zero_le n)
#align stream.wseq.head_terminates_of_nth_terminates Stream'.WSeq.head_terminates_of_get?_terminates
theorem destruct_terminates_of_get?_terminates {s : WSeq α} {n} (T : Terminates (get? s n)) :
Terminates (destruct s) :=
(head_terminates_iff _).1 <| head_terminates_of_get?_terminates T
#align stream.wseq.destruct_terminates_of_nth_terminates Stream'.WSeq.destruct_terminates_of_get?_terminates
theorem mem_rec_on {C : WSeq α → Prop} {a s} (M : a ∈ s) (h1 : ∀ b s', a = b ∨ C s' → C (cons b s'))
(h2 : ∀ s, C s → C (think s)) : C s := by
apply Seq.mem_rec_on M
intro o s' h; cases' o with b
· apply h2
cases h
· contradiction
· assumption
· apply h1
apply Or.imp_left _ h
intro h
injection h
#align stream.wseq.mem_rec_on Stream'.WSeq.mem_rec_on
@[simp]
theorem mem_think (s : WSeq α) (a) : a ∈ think s ↔ a ∈ s := by
cases' s with f al
change (some (some a) ∈ some none::f) ↔ some (some a) ∈ f
constructor <;> intro h
· apply (Stream'.eq_or_mem_of_mem_cons h).resolve_left
intro
injections
· apply Stream'.mem_cons_of_mem _ h
#align stream.wseq.mem_think Stream'.WSeq.mem_think
theorem eq_or_mem_iff_mem {s : WSeq α} {a a' s'} :
some (a', s') ∈ destruct s → (a ∈ s ↔ a = a' ∨ a ∈ s') := by
generalize e : destruct s = c; intro h
revert s
apply Computation.memRecOn h <;> [skip; intro c IH] <;> intro s <;>
induction' s using WSeq.recOn with x s s <;>
intro m <;>
have := congr_arg Computation.destruct m <;>
simp at this
· cases' this with i1 i2
rw [i1, i2]
cases' s' with f al
dsimp only [cons, (· ∈ ·), WSeq.Mem, Seq.Mem, Seq.cons]
have h_a_eq_a' : a = a' ↔ some (some a) = some (some a') := by simp
rw [h_a_eq_a']
refine ⟨Stream'.eq_or_mem_of_mem_cons, fun o => ?_⟩
· cases' o with e m
· rw [e]
apply Stream'.mem_cons
· exact Stream'.mem_cons_of_mem _ m
· simp [IH this]
#align stream.wseq.eq_or_mem_iff_mem Stream'.WSeq.eq_or_mem_iff_mem
@[simp]
theorem mem_cons_iff (s : WSeq α) (b) {a} : a ∈ cons b s ↔ a = b ∨ a ∈ s :=
eq_or_mem_iff_mem <| by simp [ret_mem]
#align stream.wseq.mem_cons_iff Stream'.WSeq.mem_cons_iff
theorem mem_cons_of_mem {s : WSeq α} (b) {a} (h : a ∈ s) : a ∈ cons b s :=
(mem_cons_iff _ _).2 (Or.inr h)
#align stream.wseq.mem_cons_of_mem Stream'.WSeq.mem_cons_of_mem
theorem mem_cons (s : WSeq α) (a) : a ∈ cons a s :=
(mem_cons_iff _ _).2 (Or.inl rfl)
#align stream.wseq.mem_cons Stream'.WSeq.mem_cons
theorem mem_of_mem_tail {s : WSeq α} {a} : a ∈ tail s → a ∈ s := by
intro h; have := h; cases' h with n e; revert s; simp only [Stream'.get]
induction' n with n IH <;> intro s <;> induction' s using WSeq.recOn with x s s <;>
simp <;> intro m e <;>
injections
· exact Or.inr m
· exact Or.inr m
· apply IH m
rw [e]
cases tail s
rfl
#align stream.wseq.mem_of_mem_tail Stream'.WSeq.mem_of_mem_tail
theorem mem_of_mem_dropn {s : WSeq α} {a} : ∀ {n}, a ∈ drop s n → a ∈ s
| 0, h => h
| n + 1, h => @mem_of_mem_dropn s a n (mem_of_mem_tail h)
#align stream.wseq.mem_of_mem_dropn Stream'.WSeq.mem_of_mem_dropn
| Mathlib/Data/Seq/WSeq.lean | 988 | 1,001 | theorem get?_mem {s : WSeq α} {a n} : some a ∈ get? s n → a ∈ s := by |
revert s; induction' n with n IH <;> intro s h
· -- Porting note: This line is required to infer metavariables in
-- `Computation.exists_of_mem_map`.
dsimp only [get?, head] at h
rcases Computation.exists_of_mem_map h with ⟨o, h1, h2⟩
cases' o with o
· injection h2
injection h2 with h'
cases' o with a' s'
exact (eq_or_mem_iff_mem h1).2 (Or.inl h'.symm)
· have := @IH (tail s)
rw [get?_tail] at this
exact mem_of_mem_tail (this h)
|
import Mathlib.Analysis.SpecialFunctions.Exp
import Mathlib.Data.Nat.Factorization.Basic
import Mathlib.Analysis.NormedSpace.Real
#align_import analysis.special_functions.log.basic from "leanprover-community/mathlib"@"f23a09ce6d3f367220dc3cecad6b7eb69eb01690"
open Set Filter Function
open Topology
noncomputable section
namespace Real
variable {x y : ℝ}
-- @[pp_nodot] -- Porting note: removed
noncomputable def log (x : ℝ) : ℝ :=
if hx : x = 0 then 0 else expOrderIso.symm ⟨|x|, abs_pos.2 hx⟩
#align real.log Real.log
theorem log_of_ne_zero (hx : x ≠ 0) : log x = expOrderIso.symm ⟨|x|, abs_pos.2 hx⟩ :=
dif_neg hx
#align real.log_of_ne_zero Real.log_of_ne_zero
theorem log_of_pos (hx : 0 < x) : log x = expOrderIso.symm ⟨x, hx⟩ := by
rw [log_of_ne_zero hx.ne']
congr
exact abs_of_pos hx
#align real.log_of_pos Real.log_of_pos
theorem exp_log_eq_abs (hx : x ≠ 0) : exp (log x) = |x| := by
rw [log_of_ne_zero hx, ← coe_expOrderIso_apply, OrderIso.apply_symm_apply, Subtype.coe_mk]
#align real.exp_log_eq_abs Real.exp_log_eq_abs
theorem exp_log (hx : 0 < x) : exp (log x) = x := by
rw [exp_log_eq_abs hx.ne']
exact abs_of_pos hx
#align real.exp_log Real.exp_log
theorem exp_log_of_neg (hx : x < 0) : exp (log x) = -x := by
rw [exp_log_eq_abs (ne_of_lt hx)]
exact abs_of_neg hx
#align real.exp_log_of_neg Real.exp_log_of_neg
theorem le_exp_log (x : ℝ) : x ≤ exp (log x) := by
by_cases h_zero : x = 0
· rw [h_zero, log, dif_pos rfl, exp_zero]
exact zero_le_one
· rw [exp_log_eq_abs h_zero]
exact le_abs_self _
#align real.le_exp_log Real.le_exp_log
@[simp]
theorem log_exp (x : ℝ) : log (exp x) = x :=
exp_injective <| exp_log (exp_pos x)
#align real.log_exp Real.log_exp
theorem surjOn_log : SurjOn log (Ioi 0) univ := fun x _ => ⟨exp x, exp_pos x, log_exp x⟩
#align real.surj_on_log Real.surjOn_log
theorem log_surjective : Surjective log := fun x => ⟨exp x, log_exp x⟩
#align real.log_surjective Real.log_surjective
@[simp]
theorem range_log : range log = univ :=
log_surjective.range_eq
#align real.range_log Real.range_log
@[simp]
theorem log_zero : log 0 = 0 :=
dif_pos rfl
#align real.log_zero Real.log_zero
@[simp]
theorem log_one : log 1 = 0 :=
exp_injective <| by rw [exp_log zero_lt_one, exp_zero]
#align real.log_one Real.log_one
@[simp]
theorem log_abs (x : ℝ) : log |x| = log x := by
by_cases h : x = 0
· simp [h]
· rw [← exp_eq_exp, exp_log_eq_abs h, exp_log_eq_abs (abs_pos.2 h).ne', abs_abs]
#align real.log_abs Real.log_abs
@[simp]
theorem log_neg_eq_log (x : ℝ) : log (-x) = log x := by rw [← log_abs x, ← log_abs (-x), abs_neg]
#align real.log_neg_eq_log Real.log_neg_eq_log
theorem sinh_log {x : ℝ} (hx : 0 < x) : sinh (log x) = (x - x⁻¹) / 2 := by
rw [sinh_eq, exp_neg, exp_log hx]
#align real.sinh_log Real.sinh_log
theorem cosh_log {x : ℝ} (hx : 0 < x) : cosh (log x) = (x + x⁻¹) / 2 := by
rw [cosh_eq, exp_neg, exp_log hx]
#align real.cosh_log Real.cosh_log
theorem surjOn_log' : SurjOn log (Iio 0) univ := fun x _ =>
⟨-exp x, neg_lt_zero.2 <| exp_pos x, by rw [log_neg_eq_log, log_exp]⟩
#align real.surj_on_log' Real.surjOn_log'
theorem log_mul (hx : x ≠ 0) (hy : y ≠ 0) : log (x * y) = log x + log y :=
exp_injective <| by
rw [exp_log_eq_abs (mul_ne_zero hx hy), exp_add, exp_log_eq_abs hx, exp_log_eq_abs hy, abs_mul]
#align real.log_mul Real.log_mul
theorem log_div (hx : x ≠ 0) (hy : y ≠ 0) : log (x / y) = log x - log y :=
exp_injective <| by
rw [exp_log_eq_abs (div_ne_zero hx hy), exp_sub, exp_log_eq_abs hx, exp_log_eq_abs hy, abs_div]
#align real.log_div Real.log_div
@[simp]
theorem log_inv (x : ℝ) : log x⁻¹ = -log x := by
by_cases hx : x = 0; · simp [hx]
rw [← exp_eq_exp, exp_log_eq_abs (inv_ne_zero hx), exp_neg, exp_log_eq_abs hx, abs_inv]
#align real.log_inv Real.log_inv
theorem log_le_log_iff (h : 0 < x) (h₁ : 0 < y) : log x ≤ log y ↔ x ≤ y := by
rw [← exp_le_exp, exp_log h, exp_log h₁]
#align real.log_le_log Real.log_le_log_iff
@[gcongr]
lemma log_le_log (hx : 0 < x) (hxy : x ≤ y) : log x ≤ log y :=
(log_le_log_iff hx (hx.trans_le hxy)).2 hxy
@[gcongr]
theorem log_lt_log (hx : 0 < x) (h : x < y) : log x < log y := by
rwa [← exp_lt_exp, exp_log hx, exp_log (lt_trans hx h)]
#align real.log_lt_log Real.log_lt_log
theorem log_lt_log_iff (hx : 0 < x) (hy : 0 < y) : log x < log y ↔ x < y := by
rw [← exp_lt_exp, exp_log hx, exp_log hy]
#align real.log_lt_log_iff Real.log_lt_log_iff
theorem log_le_iff_le_exp (hx : 0 < x) : log x ≤ y ↔ x ≤ exp y := by rw [← exp_le_exp, exp_log hx]
#align real.log_le_iff_le_exp Real.log_le_iff_le_exp
theorem log_lt_iff_lt_exp (hx : 0 < x) : log x < y ↔ x < exp y := by rw [← exp_lt_exp, exp_log hx]
#align real.log_lt_iff_lt_exp Real.log_lt_iff_lt_exp
theorem le_log_iff_exp_le (hy : 0 < y) : x ≤ log y ↔ exp x ≤ y := by rw [← exp_le_exp, exp_log hy]
#align real.le_log_iff_exp_le Real.le_log_iff_exp_le
theorem lt_log_iff_exp_lt (hy : 0 < y) : x < log y ↔ exp x < y := by rw [← exp_lt_exp, exp_log hy]
#align real.lt_log_iff_exp_lt Real.lt_log_iff_exp_lt
theorem log_pos_iff (hx : 0 < x) : 0 < log x ↔ 1 < x := by
rw [← log_one]
exact log_lt_log_iff zero_lt_one hx
#align real.log_pos_iff Real.log_pos_iff
theorem log_pos (hx : 1 < x) : 0 < log x :=
(log_pos_iff (lt_trans zero_lt_one hx)).2 hx
#align real.log_pos Real.log_pos
theorem log_pos_of_lt_neg_one (hx : x < -1) : 0 < log x := by
rw [← neg_neg x, log_neg_eq_log]
have : 1 < -x := by linarith
exact log_pos this
theorem log_neg_iff (h : 0 < x) : log x < 0 ↔ x < 1 := by
rw [← log_one]
exact log_lt_log_iff h zero_lt_one
#align real.log_neg_iff Real.log_neg_iff
theorem log_neg (h0 : 0 < x) (h1 : x < 1) : log x < 0 :=
(log_neg_iff h0).2 h1
#align real.log_neg Real.log_neg
theorem log_neg_of_lt_zero (h0 : x < 0) (h1 : -1 < x) : log x < 0 := by
rw [← neg_neg x, log_neg_eq_log]
have h0' : 0 < -x := by linarith
have h1' : -x < 1 := by linarith
exact log_neg h0' h1'
theorem log_nonneg_iff (hx : 0 < x) : 0 ≤ log x ↔ 1 ≤ x := by rw [← not_lt, log_neg_iff hx, not_lt]
#align real.log_nonneg_iff Real.log_nonneg_iff
theorem log_nonneg (hx : 1 ≤ x) : 0 ≤ log x :=
(log_nonneg_iff (zero_lt_one.trans_le hx)).2 hx
#align real.log_nonneg Real.log_nonneg
theorem log_nonpos_iff (hx : 0 < x) : log x ≤ 0 ↔ x ≤ 1 := by rw [← not_lt, log_pos_iff hx, not_lt]
#align real.log_nonpos_iff Real.log_nonpos_iff
theorem log_nonpos_iff' (hx : 0 ≤ x) : log x ≤ 0 ↔ x ≤ 1 := by
rcases hx.eq_or_lt with (rfl | hx)
· simp [le_refl, zero_le_one]
exact log_nonpos_iff hx
#align real.log_nonpos_iff' Real.log_nonpos_iff'
theorem log_nonpos (hx : 0 ≤ x) (h'x : x ≤ 1) : log x ≤ 0 :=
(log_nonpos_iff' hx).2 h'x
#align real.log_nonpos Real.log_nonpos
theorem log_natCast_nonneg (n : ℕ) : 0 ≤ log n := by
if hn : n = 0 then
simp [hn]
else
have : (1 : ℝ) ≤ n := mod_cast Nat.one_le_of_lt <| Nat.pos_of_ne_zero hn
exact log_nonneg this
@[deprecated (since := "2024-04-17")]
alias log_nat_cast_nonneg := log_natCast_nonneg
theorem log_neg_natCast_nonneg (n : ℕ) : 0 ≤ log (-n) := by
rw [← log_neg_eq_log, neg_neg]
exact log_natCast_nonneg _
@[deprecated (since := "2024-04-17")]
alias log_neg_nat_cast_nonneg := log_neg_natCast_nonneg
theorem log_intCast_nonneg (n : ℤ) : 0 ≤ log n := by
cases lt_trichotomy 0 n with
| inl hn =>
have : (1 : ℝ) ≤ n := mod_cast hn
exact log_nonneg this
| inr hn =>
cases hn with
| inl hn => simp [hn.symm]
| inr hn =>
have : (1 : ℝ) ≤ -n := by rw [← neg_zero, ← lt_neg] at hn; exact mod_cast hn
rw [← log_neg_eq_log]
exact log_nonneg this
@[deprecated (since := "2024-04-17")]
alias log_int_cast_nonneg := log_intCast_nonneg
theorem strictMonoOn_log : StrictMonoOn log (Set.Ioi 0) := fun _ hx _ _ hxy => log_lt_log hx hxy
#align real.strict_mono_on_log Real.strictMonoOn_log
theorem strictAntiOn_log : StrictAntiOn log (Set.Iio 0) := by
rintro x (hx : x < 0) y (hy : y < 0) hxy
rw [← log_abs y, ← log_abs x]
refine log_lt_log (abs_pos.2 hy.ne) ?_
rwa [abs_of_neg hy, abs_of_neg hx, neg_lt_neg_iff]
#align real.strict_anti_on_log Real.strictAntiOn_log
theorem log_injOn_pos : Set.InjOn log (Set.Ioi 0) :=
strictMonoOn_log.injOn
#align real.log_inj_on_pos Real.log_injOn_pos
theorem log_lt_sub_one_of_pos (hx1 : 0 < x) (hx2 : x ≠ 1) : log x < x - 1 := by
have h : log x ≠ 0 := by
rwa [← log_one, log_injOn_pos.ne_iff hx1]
exact mem_Ioi.mpr zero_lt_one
linarith [add_one_lt_exp h, exp_log hx1]
#align real.log_lt_sub_one_of_pos Real.log_lt_sub_one_of_pos
theorem eq_one_of_pos_of_log_eq_zero {x : ℝ} (h₁ : 0 < x) (h₂ : log x = 0) : x = 1 :=
log_injOn_pos (Set.mem_Ioi.2 h₁) (Set.mem_Ioi.2 zero_lt_one) (h₂.trans Real.log_one.symm)
#align real.eq_one_of_pos_of_log_eq_zero Real.eq_one_of_pos_of_log_eq_zero
theorem log_ne_zero_of_pos_of_ne_one {x : ℝ} (hx_pos : 0 < x) (hx : x ≠ 1) : log x ≠ 0 :=
mt (eq_one_of_pos_of_log_eq_zero hx_pos) hx
#align real.log_ne_zero_of_pos_of_ne_one Real.log_ne_zero_of_pos_of_ne_one
@[simp]
theorem log_eq_zero {x : ℝ} : log x = 0 ↔ x = 0 ∨ x = 1 ∨ x = -1 := by
constructor
· intro h
rcases lt_trichotomy x 0 with (x_lt_zero | rfl | x_gt_zero)
· refine Or.inr (Or.inr (neg_eq_iff_eq_neg.mp ?_))
rw [← log_neg_eq_log x] at h
exact eq_one_of_pos_of_log_eq_zero (neg_pos.mpr x_lt_zero) h
· exact Or.inl rfl
· exact Or.inr (Or.inl (eq_one_of_pos_of_log_eq_zero x_gt_zero h))
· rintro (rfl | rfl | rfl) <;> simp only [log_one, log_zero, log_neg_eq_log]
#align real.log_eq_zero Real.log_eq_zero
theorem log_ne_zero {x : ℝ} : log x ≠ 0 ↔ x ≠ 0 ∧ x ≠ 1 ∧ x ≠ -1 := by
simpa only [not_or] using log_eq_zero.not
#align real.log_ne_zero Real.log_ne_zero
@[simp]
theorem log_pow (x : ℝ) (n : ℕ) : log (x ^ n) = n * log x := by
induction' n with n ih
· simp
rcases eq_or_ne x 0 with (rfl | hx)
· simp
rw [pow_succ, log_mul (pow_ne_zero _ hx) hx, ih, Nat.cast_succ, add_mul, one_mul]
#align real.log_pow Real.log_pow
@[simp]
theorem log_zpow (x : ℝ) (n : ℤ) : log (x ^ n) = n * log x := by
induction n
· rw [Int.ofNat_eq_coe, zpow_natCast, log_pow, Int.cast_natCast]
rw [zpow_negSucc, log_inv, log_pow, Int.cast_negSucc, Nat.cast_add_one, neg_mul_eq_neg_mul]
#align real.log_zpow Real.log_zpow
theorem log_sqrt {x : ℝ} (hx : 0 ≤ x) : log (√x) = log x / 2 := by
rw [eq_div_iff, mul_comm, ← Nat.cast_two, ← log_pow, sq_sqrt hx]
exact two_ne_zero
#align real.log_sqrt Real.log_sqrt
theorem log_le_sub_one_of_pos {x : ℝ} (hx : 0 < x) : log x ≤ x - 1 := by
rw [le_sub_iff_add_le]
convert add_one_le_exp (log x)
rw [exp_log hx]
#align real.log_le_sub_one_of_pos Real.log_le_sub_one_of_pos
theorem abs_log_mul_self_lt (x : ℝ) (h1 : 0 < x) (h2 : x ≤ 1) : |log x * x| < 1 := by
have : 0 < 1 / x := by simpa only [one_div, inv_pos] using h1
replace := log_le_sub_one_of_pos this
replace : log (1 / x) < 1 / x := by linarith
rw [log_div one_ne_zero h1.ne', log_one, zero_sub, lt_div_iff h1] at this
have aux : 0 ≤ -log x * x := by
refine mul_nonneg ?_ h1.le
rw [← log_inv]
apply log_nonneg
rw [← le_inv h1 zero_lt_one, inv_one]
exact h2
rw [← abs_of_nonneg aux, neg_mul, abs_neg] at this
exact this
#align real.abs_log_mul_self_lt Real.abs_log_mul_self_lt
theorem tendsto_log_atTop : Tendsto log atTop atTop :=
tendsto_comp_exp_atTop.1 <| by simpa only [log_exp] using tendsto_id
#align real.tendsto_log_at_top Real.tendsto_log_atTop
theorem tendsto_log_nhdsWithin_zero : Tendsto log (𝓝[≠] 0) atBot := by
rw [← show _ = log from funext log_abs]
refine Tendsto.comp (g := log) ?_ tendsto_abs_nhdsWithin_zero
simpa [← tendsto_comp_exp_atBot] using tendsto_id
#align real.tendsto_log_nhds_within_zero Real.tendsto_log_nhdsWithin_zero
lemma tendsto_log_nhdsWithin_zero_right : Tendsto log (𝓝[>] 0) atBot :=
tendsto_log_nhdsWithin_zero.mono_left <| nhdsWithin_mono _ fun _ h ↦ ne_of_gt h
theorem continuousOn_log : ContinuousOn log {0}ᶜ := by
simp (config := { unfoldPartialApp := true }) only [continuousOn_iff_continuous_restrict,
restrict]
conv in log _ => rw [log_of_ne_zero (show (x : ℝ) ≠ 0 from x.2)]
exact expOrderIso.symm.continuous.comp (continuous_subtype_val.norm.subtype_mk _)
#align real.continuous_on_log Real.continuousOn_log
@[continuity]
theorem continuous_log : Continuous fun x : { x : ℝ // x ≠ 0 } => log x :=
continuousOn_iff_continuous_restrict.1 <| continuousOn_log.mono fun _ => id
#align real.continuous_log Real.continuous_log
@[continuity]
theorem continuous_log' : Continuous fun x : { x : ℝ // 0 < x } => log x :=
continuousOn_iff_continuous_restrict.1 <| continuousOn_log.mono fun _ hx => ne_of_gt hx
#align real.continuous_log' Real.continuous_log'
theorem continuousAt_log (hx : x ≠ 0) : ContinuousAt log x :=
(continuousOn_log x hx).continuousAt <| isOpen_compl_singleton.mem_nhds hx
#align real.continuous_at_log Real.continuousAt_log
@[simp]
theorem continuousAt_log_iff : ContinuousAt log x ↔ x ≠ 0 := by
refine ⟨?_, continuousAt_log⟩
rintro h rfl
exact not_tendsto_nhds_of_tendsto_atBot tendsto_log_nhdsWithin_zero _
(h.tendsto.mono_left inf_le_left)
#align real.continuous_at_log_iff Real.continuousAt_log_iff
| Mathlib/Analysis/SpecialFunctions/Log/Basic.lean | 385 | 390 | theorem log_prod {α : Type*} (s : Finset α) (f : α → ℝ) (hf : ∀ x ∈ s, f x ≠ 0) :
log (∏ i ∈ s, f i) = ∑ i ∈ s, log (f i) := by |
induction' s using Finset.cons_induction_on with a s ha ih
· simp
· rw [Finset.forall_mem_cons] at hf
simp [ih hf.2, log_mul hf.1 (Finset.prod_ne_zero_iff.2 hf.2)]
|
import Mathlib.CategoryTheory.Bicategory.Functor.Oplax
#align_import category_theory.bicategory.natural_transformation from "leanprover-community/mathlib"@"4ff75f5b8502275a4c2eb2d2f02bdf84d7fb8993"
namespace CategoryTheory
open Category Bicategory
open scoped Bicategory
universe w₁ w₂ v₁ v₂ u₁ u₂
variable {B : Type u₁} [Bicategory.{w₁, v₁} B] {C : Type u₂} [Bicategory.{w₂, v₂} C]
structure OplaxNatTrans (F G : OplaxFunctor B C) where
app (a : B) : F.obj a ⟶ G.obj a
naturality {a b : B} (f : a ⟶ b) : F.map f ≫ app b ⟶ app a ≫ G.map f
naturality_naturality :
∀ {a b : B} {f g : a ⟶ b} (η : f ⟶ g),
F.map₂ η ▷ app b ≫ naturality g = naturality f ≫ app a ◁ G.map₂ η := by
aesop_cat
naturality_id :
∀ a : B,
naturality (𝟙 a) ≫ app a ◁ G.mapId a =
F.mapId a ▷ app a ≫ (λ_ (app a)).hom ≫ (ρ_ (app a)).inv := by
aesop_cat
naturality_comp :
∀ {a b c : B} (f : a ⟶ b) (g : b ⟶ c),
naturality (f ≫ g) ≫ app a ◁ G.mapComp f g =
F.mapComp f g ▷ app c ≫
(α_ _ _ _).hom ≫
F.map f ◁ naturality g ≫ (α_ _ _ _).inv ≫ naturality f ▷ G.map g ≫ (α_ _ _ _).hom := by
aesop_cat
#align category_theory.oplax_nat_trans CategoryTheory.OplaxNatTrans
#align category_theory.oplax_nat_trans.app CategoryTheory.OplaxNatTrans.app
#align category_theory.oplax_nat_trans.naturality CategoryTheory.OplaxNatTrans.naturality
#align category_theory.oplax_nat_trans.naturality_naturality' CategoryTheory.OplaxNatTrans.naturality_naturality
#align category_theory.oplax_nat_trans.naturality_naturality CategoryTheory.OplaxNatTrans.naturality_naturality
#align category_theory.oplax_nat_trans.naturality_id' CategoryTheory.OplaxNatTrans.naturality_id
#align category_theory.oplax_nat_trans.naturality_id CategoryTheory.OplaxNatTrans.naturality_id
#align category_theory.oplax_nat_trans.naturality_comp' CategoryTheory.OplaxNatTrans.naturality_comp
#align category_theory.oplax_nat_trans.naturality_comp CategoryTheory.OplaxNatTrans.naturality_comp
attribute [nolint docBlame] CategoryTheory.OplaxNatTrans.app
CategoryTheory.OplaxNatTrans.naturality
CategoryTheory.OplaxNatTrans.naturality_naturality
CategoryTheory.OplaxNatTrans.naturality_id
CategoryTheory.OplaxNatTrans.naturality_comp
attribute [reassoc (attr := simp)] OplaxNatTrans.naturality_naturality OplaxNatTrans.naturality_id
OplaxNatTrans.naturality_comp
namespace OplaxNatTrans
section
variable (F : OplaxFunctor B C)
@[simps]
def id : OplaxNatTrans F F where
app a := 𝟙 (F.obj a)
naturality {a b} f := (ρ_ (F.map f)).hom ≫ (λ_ (F.map f)).inv
#align category_theory.oplax_nat_trans.id CategoryTheory.OplaxNatTrans.id
instance : Inhabited (OplaxNatTrans F F) :=
⟨id F⟩
variable {F} {G H : OplaxFunctor B C} (η : OplaxNatTrans F G) (θ : OplaxNatTrans G H)
section
variable {a b c : B} {a' : C}
@[reassoc (attr := simp)]
theorem whiskerLeft_naturality_naturality (f : a' ⟶ G.obj a) {g h : a ⟶ b} (β : g ⟶ h) :
f ◁ G.map₂ β ▷ θ.app b ≫ f ◁ θ.naturality h =
f ◁ θ.naturality g ≫ f ◁ θ.app a ◁ H.map₂ β := by
simp_rw [← whiskerLeft_comp, naturality_naturality]
#align category_theory.oplax_nat_trans.whisker_left_naturality_naturality CategoryTheory.OplaxNatTrans.whiskerLeft_naturality_naturality
@[reassoc (attr := simp)]
theorem whiskerRight_naturality_naturality {f g : a ⟶ b} (β : f ⟶ g) (h : G.obj b ⟶ a') :
F.map₂ β ▷ η.app b ▷ h ≫ η.naturality g ▷ h =
η.naturality f ▷ h ≫ (α_ _ _ _).hom ≫ η.app a ◁ G.map₂ β ▷ h ≫ (α_ _ _ _).inv := by
rw [← comp_whiskerRight, naturality_naturality, comp_whiskerRight, whisker_assoc]
#align category_theory.oplax_nat_trans.whisker_right_naturality_naturality CategoryTheory.OplaxNatTrans.whiskerRight_naturality_naturality
@[reassoc (attr := simp)]
theorem whiskerLeft_naturality_comp (f : a' ⟶ G.obj a) (g : a ⟶ b) (h : b ⟶ c) :
f ◁ θ.naturality (g ≫ h) ≫ f ◁ θ.app a ◁ H.mapComp g h =
f ◁ G.mapComp g h ▷ θ.app c ≫
f ◁ (α_ _ _ _).hom ≫
f ◁ G.map g ◁ θ.naturality h ≫
f ◁ (α_ _ _ _).inv ≫ f ◁ θ.naturality g ▷ H.map h ≫ f ◁ (α_ _ _ _).hom := by
simp_rw [← whiskerLeft_comp, naturality_comp]
#align category_theory.oplax_nat_trans.whisker_left_naturality_comp CategoryTheory.OplaxNatTrans.whiskerLeft_naturality_comp
@[reassoc (attr := simp)]
theorem whiskerRight_naturality_comp (f : a ⟶ b) (g : b ⟶ c) (h : G.obj c ⟶ a') :
η.naturality (f ≫ g) ▷ h ≫ (α_ _ _ _).hom ≫ η.app a ◁ G.mapComp f g ▷ h =
F.mapComp f g ▷ η.app c ▷ h ≫
(α_ _ _ _).hom ▷ h ≫
(α_ _ _ _).hom ≫
F.map f ◁ η.naturality g ▷ h ≫
(α_ _ _ _).inv ≫
(α_ _ _ _).inv ▷ h ≫
η.naturality f ▷ G.map g ▷ h ≫ (α_ _ _ _).hom ▷ h ≫ (α_ _ _ _).hom := by
rw [← associator_naturality_middle, ← comp_whiskerRight_assoc, naturality_comp]; simp
#align category_theory.oplax_nat_trans.whisker_right_naturality_comp CategoryTheory.OplaxNatTrans.whiskerRight_naturality_comp
@[reassoc (attr := simp)]
theorem whiskerLeft_naturality_id (f : a' ⟶ G.obj a) :
f ◁ θ.naturality (𝟙 a) ≫ f ◁ θ.app a ◁ H.mapId a =
f ◁ G.mapId a ▷ θ.app a ≫ f ◁ (λ_ (θ.app a)).hom ≫ f ◁ (ρ_ (θ.app a)).inv := by
simp_rw [← whiskerLeft_comp, naturality_id]
#align category_theory.oplax_nat_trans.whisker_left_naturality_id CategoryTheory.OplaxNatTrans.whiskerLeft_naturality_id
@[reassoc (attr := simp)]
theorem whiskerRight_naturality_id (f : G.obj a ⟶ a') :
η.naturality (𝟙 a) ▷ f ≫ (α_ _ _ _).hom ≫ η.app a ◁ G.mapId a ▷ f =
F.mapId a ▷ η.app a ▷ f ≫ (λ_ (η.app a)).hom ▷ f ≫ (ρ_ (η.app a)).inv ▷ f ≫ (α_ _ _ _).hom := by
rw [← associator_naturality_middle, ← comp_whiskerRight_assoc, naturality_id]; simp
#align category_theory.oplax_nat_trans.whisker_right_naturality_id CategoryTheory.OplaxNatTrans.whiskerRight_naturality_id
end
@[simps]
def vcomp (η : OplaxNatTrans F G) (θ : OplaxNatTrans G H) : OplaxNatTrans F H where
app a := η.app a ≫ θ.app a
naturality {a b} f :=
(α_ _ _ _).inv ≫
η.naturality f ▷ θ.app b ≫ (α_ _ _ _).hom ≫ η.app a ◁ θ.naturality f ≫ (α_ _ _ _).inv
naturality_comp {a b c} f g := by
calc
_ =
?_ ≫
F.mapComp f g ▷ η.app c ▷ θ.app c ≫
?_ ≫
F.map f ◁ η.naturality g ▷ θ.app c ≫
?_ ≫
(F.map f ≫ η.app b) ◁ θ.naturality g ≫
η.naturality f ▷ (θ.app b ≫ H.map g) ≫
?_ ≫ η.app a ◁ θ.naturality f ▷ H.map g ≫ ?_ :=
?_
_ = _ := ?_
· exact (α_ _ _ _).inv
· exact (α_ _ _ _).hom ▷ _ ≫ (α_ _ _ _).hom
· exact _ ◁ (α_ _ _ _).hom ≫ (α_ _ _ _).inv
· exact (α_ _ _ _).hom ≫ _ ◁ (α_ _ _ _).inv
· exact _ ◁ (α_ _ _ _).hom ≫ (α_ _ _ _).inv
· rw [whisker_exchange_assoc]
simp
· simp
#align category_theory.oplax_nat_trans.vcomp CategoryTheory.OplaxNatTrans.vcomp
variable (B C)
@[simps id comp]
instance : CategoryStruct (OplaxFunctor B C) where
Hom := OplaxNatTrans
id := OplaxNatTrans.id
comp := OplaxNatTrans.vcomp
end
section
variable {F G : OplaxFunctor B C}
@[ext]
structure Modification (η θ : F ⟶ G) where
app (a : B) : η.app a ⟶ θ.app a
naturality :
∀ {a b : B} (f : a ⟶ b),
F.map f ◁ app b ≫ θ.naturality f = η.naturality f ≫ app a ▷ G.map f := by
aesop_cat
#align category_theory.oplax_nat_trans.modification CategoryTheory.OplaxNatTrans.Modification
#align category_theory.oplax_nat_trans.modification.app CategoryTheory.OplaxNatTrans.Modification
#align category_theory.oplax_nat_trans.modification.naturality' CategoryTheory.OplaxNatTrans.Modification.naturality
#align category_theory.oplax_nat_trans.modification.naturality CategoryTheory.OplaxNatTrans.Modification.naturality
attribute [nolint docBlame] CategoryTheory.OplaxNatTrans.Modification.app
CategoryTheory.OplaxNatTrans.Modification.naturality
attribute [reassoc (attr := simp)] Modification.naturality
variable {η θ ι : F ⟶ G}
namespace Modification
variable (η)
@[simps]
def id : Modification η η where app a := 𝟙 (η.app a)
#align category_theory.oplax_nat_trans.modification.id CategoryTheory.OplaxNatTrans.Modification.id
instance : Inhabited (Modification η η) :=
⟨Modification.id η⟩
variable {η}
section
variable (Γ : Modification η θ) {a b c : B} {a' : C}
@[reassoc (attr := simp)]
theorem whiskerLeft_naturality (f : a' ⟶ F.obj b) (g : b ⟶ c) :
f ◁ F.map g ◁ Γ.app c ≫ f ◁ θ.naturality g = f ◁ η.naturality g ≫ f ◁ Γ.app b ▷ G.map g := by
simp_rw [← whiskerLeft_comp, naturality]
#align category_theory.oplax_nat_trans.modification.whisker_left_naturality CategoryTheory.OplaxNatTrans.Modification.whiskerLeft_naturality
@[reassoc (attr := simp)]
| Mathlib/CategoryTheory/Bicategory/NaturalTransformation.lean | 252 | 255 | theorem whiskerRight_naturality (f : a ⟶ b) (g : G.obj b ⟶ a') :
F.map f ◁ Γ.app b ▷ g ≫ (α_ _ _ _).inv ≫ θ.naturality f ▷ g =
(α_ _ _ _).inv ≫ η.naturality f ▷ g ≫ Γ.app a ▷ G.map f ▷ g := by |
simp_rw [associator_inv_naturality_middle_assoc, ← comp_whiskerRight, naturality]
|
import Mathlib.Order.Filter.SmallSets
import Mathlib.Tactic.Monotonicity
import Mathlib.Topology.Compactness.Compact
import Mathlib.Topology.NhdsSet
import Mathlib.Algebra.Group.Defs
#align_import topology.uniform_space.basic from "leanprover-community/mathlib"@"195fcd60ff2bfe392543bceb0ec2adcdb472db4c"
open Set Filter Topology
universe u v ua ub uc ud
variable {α : Type ua} {β : Type ub} {γ : Type uc} {δ : Type ud} {ι : Sort*}
def idRel {α : Type*} :=
{ p : α × α | p.1 = p.2 }
#align id_rel idRel
@[simp]
theorem mem_idRel {a b : α} : (a, b) ∈ @idRel α ↔ a = b :=
Iff.rfl
#align mem_id_rel mem_idRel
@[simp]
theorem idRel_subset {s : Set (α × α)} : idRel ⊆ s ↔ ∀ a, (a, a) ∈ s := by
simp [subset_def]
#align id_rel_subset idRel_subset
def compRel (r₁ r₂ : Set (α × α)) :=
{ p : α × α | ∃ z : α, (p.1, z) ∈ r₁ ∧ (z, p.2) ∈ r₂ }
#align comp_rel compRel
@[inherit_doc]
scoped[Uniformity] infixl:62 " ○ " => compRel
open Uniformity
@[simp]
theorem mem_compRel {α : Type u} {r₁ r₂ : Set (α × α)} {x y : α} :
(x, y) ∈ r₁ ○ r₂ ↔ ∃ z, (x, z) ∈ r₁ ∧ (z, y) ∈ r₂ :=
Iff.rfl
#align mem_comp_rel mem_compRel
@[simp]
theorem swap_idRel : Prod.swap '' idRel = @idRel α :=
Set.ext fun ⟨a, b⟩ => by simpa [image_swap_eq_preimage_swap] using eq_comm
#align swap_id_rel swap_idRel
theorem Monotone.compRel [Preorder β] {f g : β → Set (α × α)} (hf : Monotone f) (hg : Monotone g) :
Monotone fun x => f x ○ g x := fun _ _ h _ ⟨z, h₁, h₂⟩ => ⟨z, hf h h₁, hg h h₂⟩
#align monotone.comp_rel Monotone.compRel
@[mono]
theorem compRel_mono {f g h k : Set (α × α)} (h₁ : f ⊆ h) (h₂ : g ⊆ k) : f ○ g ⊆ h ○ k :=
fun _ ⟨z, h, h'⟩ => ⟨z, h₁ h, h₂ h'⟩
#align comp_rel_mono compRel_mono
theorem prod_mk_mem_compRel {a b c : α} {s t : Set (α × α)} (h₁ : (a, c) ∈ s) (h₂ : (c, b) ∈ t) :
(a, b) ∈ s ○ t :=
⟨c, h₁, h₂⟩
#align prod_mk_mem_comp_rel prod_mk_mem_compRel
@[simp]
theorem id_compRel {r : Set (α × α)} : idRel ○ r = r :=
Set.ext fun ⟨a, b⟩ => by simp
#align id_comp_rel id_compRel
theorem compRel_assoc {r s t : Set (α × α)} : r ○ s ○ t = r ○ (s ○ t) := by
ext ⟨a, b⟩; simp only [mem_compRel]; tauto
#align comp_rel_assoc compRel_assoc
theorem left_subset_compRel {s t : Set (α × α)} (h : idRel ⊆ t) : s ⊆ s ○ t := fun ⟨_x, y⟩ xy_in =>
⟨y, xy_in, h <| rfl⟩
#align left_subset_comp_rel left_subset_compRel
theorem right_subset_compRel {s t : Set (α × α)} (h : idRel ⊆ s) : t ⊆ s ○ t := fun ⟨x, _y⟩ xy_in =>
⟨x, h <| rfl, xy_in⟩
#align right_subset_comp_rel right_subset_compRel
theorem subset_comp_self {s : Set (α × α)} (h : idRel ⊆ s) : s ⊆ s ○ s :=
left_subset_compRel h
#align subset_comp_self subset_comp_self
theorem subset_iterate_compRel {s t : Set (α × α)} (h : idRel ⊆ s) (n : ℕ) :
t ⊆ (s ○ ·)^[n] t := by
induction' n with n ihn generalizing t
exacts [Subset.rfl, (right_subset_compRel h).trans ihn]
#align subset_iterate_comp_rel subset_iterate_compRel
def SymmetricRel (V : Set (α × α)) : Prop :=
Prod.swap ⁻¹' V = V
#align symmetric_rel SymmetricRel
def symmetrizeRel (V : Set (α × α)) : Set (α × α) :=
V ∩ Prod.swap ⁻¹' V
#align symmetrize_rel symmetrizeRel
theorem symmetric_symmetrizeRel (V : Set (α × α)) : SymmetricRel (symmetrizeRel V) := by
simp [SymmetricRel, symmetrizeRel, preimage_inter, inter_comm, ← preimage_comp]
#align symmetric_symmetrize_rel symmetric_symmetrizeRel
theorem symmetrizeRel_subset_self (V : Set (α × α)) : symmetrizeRel V ⊆ V :=
sep_subset _ _
#align symmetrize_rel_subset_self symmetrizeRel_subset_self
@[mono]
theorem symmetrize_mono {V W : Set (α × α)} (h : V ⊆ W) : symmetrizeRel V ⊆ symmetrizeRel W :=
inter_subset_inter h <| preimage_mono h
#align symmetrize_mono symmetrize_mono
theorem SymmetricRel.mk_mem_comm {V : Set (α × α)} (hV : SymmetricRel V) {x y : α} :
(x, y) ∈ V ↔ (y, x) ∈ V :=
Set.ext_iff.1 hV (y, x)
#align symmetric_rel.mk_mem_comm SymmetricRel.mk_mem_comm
theorem SymmetricRel.eq {U : Set (α × α)} (hU : SymmetricRel U) : Prod.swap ⁻¹' U = U :=
hU
#align symmetric_rel.eq SymmetricRel.eq
theorem SymmetricRel.inter {U V : Set (α × α)} (hU : SymmetricRel U) (hV : SymmetricRel V) :
SymmetricRel (U ∩ V) := by rw [SymmetricRel, preimage_inter, hU.eq, hV.eq]
#align symmetric_rel.inter SymmetricRel.inter
structure UniformSpace.Core (α : Type u) where
uniformity : Filter (α × α)
refl : 𝓟 idRel ≤ uniformity
symm : Tendsto Prod.swap uniformity uniformity
comp : (uniformity.lift' fun s => s ○ s) ≤ uniformity
#align uniform_space.core UniformSpace.Core
protected theorem UniformSpace.Core.comp_mem_uniformity_sets {c : Core α} {s : Set (α × α)}
(hs : s ∈ c.uniformity) : ∃ t ∈ c.uniformity, t ○ t ⊆ s :=
(mem_lift'_sets <| monotone_id.compRel monotone_id).mp <| c.comp hs
def UniformSpace.Core.mk' {α : Type u} (U : Filter (α × α)) (refl : ∀ r ∈ U, ∀ (x), (x, x) ∈ r)
(symm : ∀ r ∈ U, Prod.swap ⁻¹' r ∈ U) (comp : ∀ r ∈ U, ∃ t ∈ U, t ○ t ⊆ r) :
UniformSpace.Core α :=
⟨U, fun _r ru => idRel_subset.2 (refl _ ru), symm, fun _r ru =>
let ⟨_s, hs, hsr⟩ := comp _ ru
mem_of_superset (mem_lift' hs) hsr⟩
#align uniform_space.core.mk' UniformSpace.Core.mk'
def UniformSpace.Core.mkOfBasis {α : Type u} (B : FilterBasis (α × α))
(refl : ∀ r ∈ B, ∀ (x), (x, x) ∈ r) (symm : ∀ r ∈ B, ∃ t ∈ B, t ⊆ Prod.swap ⁻¹' r)
(comp : ∀ r ∈ B, ∃ t ∈ B, t ○ t ⊆ r) : UniformSpace.Core α where
uniformity := B.filter
refl := B.hasBasis.ge_iff.mpr fun _r ru => idRel_subset.2 <| refl _ ru
symm := (B.hasBasis.tendsto_iff B.hasBasis).mpr symm
comp := (HasBasis.le_basis_iff (B.hasBasis.lift' (monotone_id.compRel monotone_id))
B.hasBasis).2 comp
#align uniform_space.core.mk_of_basis UniformSpace.Core.mkOfBasis
def UniformSpace.Core.toTopologicalSpace {α : Type u} (u : UniformSpace.Core α) :
TopologicalSpace α :=
.mkOfNhds fun x ↦ .comap (Prod.mk x) u.uniformity
#align uniform_space.core.to_topological_space UniformSpace.Core.toTopologicalSpace
theorem UniformSpace.Core.ext :
∀ {u₁ u₂ : UniformSpace.Core α}, u₁.uniformity = u₂.uniformity → u₁ = u₂
| ⟨_, _, _, _⟩, ⟨_, _, _, _⟩, rfl => rfl
#align uniform_space.core_eq UniformSpace.Core.ext
| Mathlib/Topology/UniformSpace/Basic.lean | 291 | 299 | theorem UniformSpace.Core.nhds_toTopologicalSpace {α : Type u} (u : Core α) (x : α) :
@nhds α u.toTopologicalSpace x = comap (Prod.mk x) u.uniformity := by |
apply TopologicalSpace.nhds_mkOfNhds_of_hasBasis (fun _ ↦ (basis_sets _).comap _)
· exact fun a U hU ↦ u.refl hU rfl
· intro a U hU
rcases u.comp_mem_uniformity_sets hU with ⟨V, hV, hVU⟩
filter_upwards [preimage_mem_comap hV] with b hb
filter_upwards [preimage_mem_comap hV] with c hc
exact hVU ⟨b, hb, hc⟩
|
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]
| Mathlib/Analysis/Calculus/Deriv/Basic.lean | 487 | 490 | 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]
|
import Mathlib.Algebra.MonoidAlgebra.Ideal
import Mathlib.Algebra.MvPolynomial.Division
#align_import ring_theory.mv_polynomial.ideal from "leanprover-community/mathlib"@"72c366d0475675f1309d3027d3d7d47ee4423951"
variable {σ R : Type*}
namespace MvPolynomial
variable [CommSemiring R]
| Mathlib/RingTheory/MvPolynomial/Ideal.lean | 32 | 36 | theorem mem_ideal_span_monomial_image {x : MvPolynomial σ R} {s : Set (σ →₀ ℕ)} :
x ∈ Ideal.span ((fun s => monomial s (1 : R)) '' s) ↔ ∀ xi ∈ x.support, ∃ si ∈ s, si ≤ xi := by |
refine AddMonoidAlgebra.mem_ideal_span_of'_image.trans ?_
simp_rw [le_iff_exists_add, add_comm]
rfl
|
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