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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
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]
#align nat.choose_mul_succ_eq Nat.choose_mul_succ_eq
theorem ascFactorial_eq_factorial_mul_choose (n k : ℕ) :
(n + 1).ascFactorial k = k ! * (n + k).choose k := by
rw [Nat.mul_comm]
apply Nat.mul_right_cancel (n + k - k).factorial_pos
rw [choose_mul_factorial_mul_factorial <| Nat.le_add_left k n, Nat.add_sub_cancel_right,
← factorial_mul_ascFactorial, Nat.mul_comm]
#align nat.asc_factorial_eq_factorial_mul_choose Nat.ascFactorial_eq_factorial_mul_choose
theorem ascFactorial_eq_factorial_mul_choose' (n k : ℕ) :
n.ascFactorial k = k ! * (n + k - 1).choose k := by
cases n
· cases k
· rw [ascFactorial_zero, choose_zero_right, factorial_zero, Nat.mul_one]
· simp only [zero_ascFactorial, zero_eq, Nat.zero_add, succ_sub_succ_eq_sub,
Nat.le_zero_eq, Nat.sub_zero, choose_succ_self, Nat.mul_zero]
rw [ascFactorial_eq_factorial_mul_choose]
simp only [succ_add_sub_one]
theorem factorial_dvd_ascFactorial (n k : ℕ) : k ! ∣ n.ascFactorial k :=
⟨(n + k - 1).choose k, ascFactorial_eq_factorial_mul_choose' _ _⟩
#align nat.factorial_dvd_asc_factorial Nat.factorial_dvd_ascFactorial
theorem choose_eq_asc_factorial_div_factorial (n k : ℕ) :
(n + k).choose k = (n + 1).ascFactorial k / k ! := by
apply Nat.mul_left_cancel k.factorial_pos
rw [← ascFactorial_eq_factorial_mul_choose]
exact (Nat.mul_div_cancel' <| factorial_dvd_ascFactorial _ _).symm
#align nat.choose_eq_asc_factorial_div_factorial Nat.choose_eq_asc_factorial_div_factorial
theorem choose_eq_asc_factorial_div_factorial' (n k : ℕ) :
(n + k - 1).choose k = n.ascFactorial k / k ! :=
Nat.eq_div_of_mul_eq_right k.factorial_ne_zero (ascFactorial_eq_factorial_mul_choose' _ _).symm
theorem descFactorial_eq_factorial_mul_choose (n k : ℕ) : n.descFactorial k = k ! * n.choose k := by
obtain h | h := Nat.lt_or_ge n k
· rw [descFactorial_eq_zero_iff_lt.2 h, choose_eq_zero_of_lt h, Nat.mul_zero]
rw [Nat.mul_comm]
apply Nat.mul_right_cancel (n - k).factorial_pos
rw [choose_mul_factorial_mul_factorial h, ← factorial_mul_descFactorial h, Nat.mul_comm]
#align nat.desc_factorial_eq_factorial_mul_choose Nat.descFactorial_eq_factorial_mul_choose
theorem factorial_dvd_descFactorial (n k : ℕ) : k ! ∣ n.descFactorial k :=
⟨n.choose k, descFactorial_eq_factorial_mul_choose _ _⟩
#align nat.factorial_dvd_desc_factorial Nat.factorial_dvd_descFactorial
theorem choose_eq_descFactorial_div_factorial (n k : ℕ) : n.choose k = n.descFactorial k / k ! :=
Nat.eq_div_of_mul_eq_right k.factorial_ne_zero (descFactorial_eq_factorial_mul_choose _ _).symm
#align nat.choose_eq_desc_factorial_div_factorial Nat.choose_eq_descFactorial_div_factorial
def fast_choose n k := Nat.descFactorial n k / Nat.factorial k
@[csimp] lemma choose_eq_fast_choose : Nat.choose = fast_choose :=
funext (fun _ => funext (Nat.choose_eq_descFactorial_div_factorial _))
theorem choose_le_succ_of_lt_half_left {r n : ℕ} (h : r < n / 2) :
choose n r ≤ choose n (r + 1) := by
refine Nat.le_of_mul_le_mul_right ?_ (Nat.sub_pos_of_lt (h.trans_le (n.div_le_self 2)))
rw [← choose_succ_right_eq]
apply Nat.mul_le_mul_left
rw [← Nat.lt_iff_add_one_le, Nat.lt_sub_iff_add_lt, ← Nat.mul_two]
exact lt_of_lt_of_le (Nat.mul_lt_mul_of_pos_right h Nat.zero_lt_two) (n.div_mul_le_self 2)
#align nat.choose_le_succ_of_lt_half_left Nat.choose_le_succ_of_lt_half_left
private theorem choose_le_middle_of_le_half_left {n r : ℕ} (hr : r ≤ n / 2) :
choose n r ≤ choose n (n / 2) :=
decreasingInduction
(fun _ k a =>
(eq_or_lt_of_le a).elim (fun t => t.symm ▸ le_rfl) fun h =>
(choose_le_succ_of_lt_half_left h).trans (k h))
hr (fun _ => le_rfl) hr
theorem choose_le_middle (r n : ℕ) : choose n r ≤ choose n (n / 2) := by
cases' le_or_gt r n with b b
· rcases le_or_lt r (n / 2) with a | h
· apply choose_le_middle_of_le_half_left a
· rw [← choose_symm b]
apply choose_le_middle_of_le_half_left
rw [div_lt_iff_lt_mul' Nat.zero_lt_two] at h
rw [le_div_iff_mul_le' Nat.zero_lt_two, Nat.mul_sub_right_distrib, Nat.sub_le_iff_le_add,
← Nat.sub_le_iff_le_add', Nat.mul_two, Nat.add_sub_cancel]
exact le_of_lt h
· rw [choose_eq_zero_of_lt b]
apply zero_le
#align nat.choose_le_middle Nat.choose_le_middle
theorem choose_le_succ (a c : ℕ) : choose a c ≤ choose a.succ c := by
cases c <;> simp [Nat.choose_succ_succ]
#align nat.choose_le_succ Nat.choose_le_succ
theorem choose_le_add (a b c : ℕ) : choose a c ≤ choose (a + b) c := by
induction' b with b_n b_ih
· simp
exact le_trans b_ih (choose_le_succ (a + b_n) c)
#align nat.choose_le_add Nat.choose_le_add
theorem choose_le_choose {a b : ℕ} (c : ℕ) (h : a ≤ b) : choose a c ≤ choose b c :=
Nat.add_sub_cancel' h ▸ choose_le_add a (b - a) c
#align nat.choose_le_choose Nat.choose_le_choose
theorem choose_mono (b : ℕ) : Monotone fun a => choose a b := fun _ _ => choose_le_choose b
#align nat.choose_mono Nat.choose_mono
def multichoose : ℕ → ℕ → ℕ
| _, 0 => 1
| 0, _ + 1 => 0
| n + 1, k + 1 =>
multichoose n (k + 1) + multichoose (n + 1) k
#align nat.multichoose Nat.multichoose
@[simp]
theorem multichoose_zero_right (n : ℕ) : multichoose n 0 = 1 := by cases n <;> simp [multichoose]
#align nat.multichoose_zero_right Nat.multichoose_zero_right
@[simp]
theorem multichoose_zero_succ (k : ℕ) : multichoose 0 (k + 1) = 0 := by simp [multichoose]
#align nat.multichoose_zero_succ Nat.multichoose_zero_succ
theorem multichoose_succ_succ (n k : ℕ) :
multichoose (n + 1) (k + 1) = multichoose n (k + 1) + multichoose (n + 1) k := by
simp [multichoose]
#align nat.multichoose_succ_succ Nat.multichoose_succ_succ
@[simp]
| Mathlib/Data/Nat/Choose/Basic.lean | 391 | 393 | theorem multichoose_one (k : ℕ) : multichoose 1 k = 1 := by |
induction' k with k IH; · simp
simp [multichoose_succ_succ 0 k, IH]
|
import Mathlib.Algebra.BigOperators.Finprod
import Mathlib.SetTheory.Ordinal.Basic
import Mathlib.Topology.ContinuousFunction.Algebra
import Mathlib.Topology.Compactness.Paracompact
import Mathlib.Topology.ShrinkingLemma
import Mathlib.Topology.UrysohnsLemma
#align_import topology.partition_of_unity from "leanprover-community/mathlib"@"f2ce6086713c78a7f880485f7917ea547a215982"
universe u v
open Function Set Filter
open scoped Classical
open Topology
noncomputable section
structure PartitionOfUnity (ι X : Type*) [TopologicalSpace X] (s : Set X := univ) where
toFun : ι → C(X, ℝ)
locallyFinite' : LocallyFinite fun i => support (toFun i)
nonneg' : 0 ≤ toFun
sum_eq_one' : ∀ x ∈ s, ∑ᶠ i, toFun i x = 1
sum_le_one' : ∀ x, ∑ᶠ i, toFun i x ≤ 1
#align partition_of_unity PartitionOfUnity
structure BumpCovering (ι X : Type*) [TopologicalSpace X] (s : Set X := univ) where
toFun : ι → C(X, ℝ)
locallyFinite' : LocallyFinite fun i => support (toFun i)
nonneg' : 0 ≤ toFun
le_one' : toFun ≤ 1
eventuallyEq_one' : ∀ x ∈ s, ∃ i, toFun i =ᶠ[𝓝 x] 1
#align bump_covering BumpCovering
variable {ι : Type u} {X : Type v} [TopologicalSpace X]
namespace PartitionOfUnity
variable {E : Type*} [AddCommMonoid E] [SMulWithZero ℝ E] [TopologicalSpace E] [ContinuousSMul ℝ E]
{s : Set X} (f : PartitionOfUnity ι X s)
instance : FunLike (PartitionOfUnity ι X s) ι C(X, ℝ) where
coe := toFun
coe_injective' := fun f g h ↦ by cases f; cases g; congr
protected theorem locallyFinite : LocallyFinite fun i => support (f i) :=
f.locallyFinite'
#align partition_of_unity.locally_finite PartitionOfUnity.locallyFinite
theorem locallyFinite_tsupport : LocallyFinite fun i => tsupport (f i) :=
f.locallyFinite.closure
#align partition_of_unity.locally_finite_tsupport PartitionOfUnity.locallyFinite_tsupport
theorem nonneg (i : ι) (x : X) : 0 ≤ f i x :=
f.nonneg' i x
#align partition_of_unity.nonneg PartitionOfUnity.nonneg
theorem sum_eq_one {x : X} (hx : x ∈ s) : ∑ᶠ i, f i x = 1 :=
f.sum_eq_one' x hx
#align partition_of_unity.sum_eq_one PartitionOfUnity.sum_eq_one
theorem exists_pos {x : X} (hx : x ∈ s) : ∃ i, 0 < f i x := by
have H := f.sum_eq_one hx
contrapose! H
simpa only [fun i => (H i).antisymm (f.nonneg i x), finsum_zero] using zero_ne_one
#align partition_of_unity.exists_pos PartitionOfUnity.exists_pos
theorem sum_le_one (x : X) : ∑ᶠ i, f i x ≤ 1 :=
f.sum_le_one' x
#align partition_of_unity.sum_le_one PartitionOfUnity.sum_le_one
theorem sum_nonneg (x : X) : 0 ≤ ∑ᶠ i, f i x :=
finsum_nonneg fun i => f.nonneg i x
#align partition_of_unity.sum_nonneg PartitionOfUnity.sum_nonneg
theorem le_one (i : ι) (x : X) : f i x ≤ 1 :=
(single_le_finsum i (f.locallyFinite.point_finite x) fun j => f.nonneg j x).trans (f.sum_le_one x)
#align partition_of_unity.le_one PartitionOfUnity.le_one
theorem continuous_smul {g : X → E} {i : ι} (hg : ∀ x ∈ tsupport (f i), ContinuousAt g x) :
Continuous fun x => f i x • g x :=
continuous_of_tsupport fun x hx =>
((f i).continuousAt x).smul <| hg x <| tsupport_smul_subset_left _ _ hx
#align partition_of_unity.continuous_smul PartitionOfUnity.continuous_smul
theorem continuous_finsum_smul [ContinuousAdd E] {g : ι → X → E}
(hg : ∀ (i), ∀ x ∈ tsupport (f i), ContinuousAt (g i) x) :
Continuous fun x => ∑ᶠ i, f i x • g i x :=
(continuous_finsum fun i => f.continuous_smul (hg i)) <|
f.locallyFinite.subset fun _ => support_smul_subset_left _ _
#align partition_of_unity.continuous_finsum_smul PartitionOfUnity.continuous_finsum_smul
def IsSubordinate (U : ι → Set X) : Prop :=
∀ i, tsupport (f i) ⊆ U i
#align partition_of_unity.is_subordinate PartitionOfUnity.IsSubordinate
variable {f}
theorem exists_finset_nhd' {s : Set X} (ρ : PartitionOfUnity ι X s) (x₀ : X) :
∃ I : Finset ι, (∀ᶠ x in 𝓝[s] x₀, ∑ i ∈ I, ρ i x = 1) ∧
∀ᶠ x in 𝓝 x₀, support (ρ · x) ⊆ I := by
rcases ρ.locallyFinite.exists_finset_support x₀ with ⟨I, hI⟩
refine ⟨I, eventually_nhdsWithin_iff.mpr (hI.mono fun x hx x_in ↦ ?_), hI⟩
have : ∑ᶠ i : ι, ρ i x = ∑ i ∈ I, ρ i x := finsum_eq_sum_of_support_subset _ hx
rwa [eq_comm, ρ.sum_eq_one x_in] at this
| Mathlib/Topology/PartitionOfUnity.lean | 297 | 301 | theorem exists_finset_nhd (ρ : PartitionOfUnity ι X univ) (x₀ : X) :
∃ I : Finset ι, ∀ᶠ x in 𝓝 x₀, ∑ i ∈ I, ρ i x = 1 ∧ support (ρ · x) ⊆ I := by |
rcases ρ.exists_finset_nhd' x₀ with ⟨I, H⟩
use I
rwa [nhdsWithin_univ, ← eventually_and] at H
|
import Mathlib.Analysis.Convex.Combination
import Mathlib.Analysis.Convex.Extreme
#align_import analysis.convex.independent from "leanprover-community/mathlib"@"fefd8a38be7811574cd2ec2f77d3a393a407f112"
open scoped Classical
open Affine
open Finset Function
variable {𝕜 E ι : Type*}
section OrderedSemiring
variable (𝕜) [OrderedSemiring 𝕜] [AddCommGroup E] [Module 𝕜 E] {s t : Set E}
def ConvexIndependent (p : ι → E) : Prop :=
∀ (s : Set ι) (x : ι), p x ∈ convexHull 𝕜 (p '' s) → x ∈ s
#align convex_independent ConvexIndependent
variable {𝕜}
| Mathlib/Analysis/Convex/Independent.lean | 65 | 69 | theorem Subsingleton.convexIndependent [Subsingleton ι] (p : ι → E) : ConvexIndependent 𝕜 p := by |
intro s x hx
have : (convexHull 𝕜 (p '' s)).Nonempty := ⟨p x, hx⟩
rw [convexHull_nonempty_iff, Set.image_nonempty] at this
rwa [Subsingleton.mem_iff_nonempty]
|
import Batteries.Control.ForInStep.Lemmas
import Batteries.Data.List.Basic
import Batteries.Tactic.Init
import Batteries.Tactic.Alias
namespace List
open Nat
@[simp] theorem mem_toArray {a : α} {l : List α} : a ∈ l.toArray ↔ a ∈ l := by
simp [Array.mem_def]
@[simp]
theorem drop_one : ∀ l : List α, drop 1 l = tail l
| [] | _ :: _ => rfl
theorem zipWith_distrib_tail : (zipWith f l l').tail = zipWith f l.tail l'.tail := by
rw [← drop_one]; simp [zipWith_distrib_drop]
theorem subset_def {l₁ l₂ : List α} : l₁ ⊆ l₂ ↔ ∀ {a : α}, a ∈ l₁ → a ∈ l₂ := .rfl
@[simp] theorem nil_subset (l : List α) : [] ⊆ l := nofun
@[simp] theorem Subset.refl (l : List α) : l ⊆ l := fun _ i => i
theorem Subset.trans {l₁ l₂ l₃ : List α} (h₁ : l₁ ⊆ l₂) (h₂ : l₂ ⊆ l₃) : l₁ ⊆ l₃ :=
fun _ i => h₂ (h₁ i)
instance : Trans (Membership.mem : α → List α → Prop) Subset Membership.mem :=
⟨fun h₁ h₂ => h₂ h₁⟩
instance : Trans (Subset : List α → List α → Prop) Subset Subset :=
⟨Subset.trans⟩
@[simp] theorem subset_cons (a : α) (l : List α) : l ⊆ a :: l := fun _ => Mem.tail _
theorem subset_of_cons_subset {a : α} {l₁ l₂ : List α} : a :: l₁ ⊆ l₂ → l₁ ⊆ l₂ :=
fun s _ i => s (mem_cons_of_mem _ i)
theorem subset_cons_of_subset (a : α) {l₁ l₂ : List α} : l₁ ⊆ l₂ → l₁ ⊆ a :: l₂ :=
fun s _ i => .tail _ (s i)
theorem cons_subset_cons {l₁ l₂ : List α} (a : α) (s : l₁ ⊆ l₂) : a :: l₁ ⊆ a :: l₂ :=
fun _ => by simp only [mem_cons]; exact Or.imp_right (@s _)
@[simp] theorem subset_append_left (l₁ l₂ : List α) : l₁ ⊆ l₁ ++ l₂ := fun _ => mem_append_left _
@[simp] theorem subset_append_right (l₁ l₂ : List α) : l₂ ⊆ l₁ ++ l₂ := fun _ => mem_append_right _
theorem subset_append_of_subset_left (l₂ : List α) : l ⊆ l₁ → l ⊆ l₁ ++ l₂ :=
fun s => Subset.trans s <| subset_append_left _ _
theorem subset_append_of_subset_right (l₁ : List α) : l ⊆ l₂ → l ⊆ l₁ ++ l₂ :=
fun s => Subset.trans s <| subset_append_right _ _
@[simp] theorem cons_subset : a :: l ⊆ m ↔ a ∈ m ∧ l ⊆ m := by
simp only [subset_def, mem_cons, or_imp, forall_and, forall_eq]
@[simp] theorem append_subset {l₁ l₂ l : List α} :
l₁ ++ l₂ ⊆ l ↔ l₁ ⊆ l ∧ l₂ ⊆ l := by simp [subset_def, or_imp, forall_and]
theorem subset_nil {l : List α} : l ⊆ [] ↔ l = [] :=
⟨fun h => match l with | [] => rfl | _::_ => (nomatch h (.head ..)), fun | rfl => Subset.refl _⟩
theorem map_subset {l₁ l₂ : List α} (f : α → β) (H : l₁ ⊆ l₂) : map f l₁ ⊆ map f l₂ :=
fun x => by simp only [mem_map]; exact .imp fun a => .imp_left (@H _)
@[simp] theorem nil_sublist : ∀ l : List α, [] <+ l
| [] => .slnil
| a :: l => (nil_sublist l).cons a
@[simp] theorem Sublist.refl : ∀ l : List α, l <+ l
| [] => .slnil
| a :: l => (Sublist.refl l).cons₂ a
theorem Sublist.trans {l₁ l₂ l₃ : List α} (h₁ : l₁ <+ l₂) (h₂ : l₂ <+ l₃) : l₁ <+ l₃ := by
induction h₂ generalizing l₁ with
| slnil => exact h₁
| cons _ _ IH => exact (IH h₁).cons _
| @cons₂ l₂ _ a _ IH =>
generalize e : a :: l₂ = l₂'
match e ▸ h₁ with
| .slnil => apply nil_sublist
| .cons a' h₁' => cases e; apply (IH h₁').cons
| .cons₂ a' h₁' => cases e; apply (IH h₁').cons₂
instance : Trans (@Sublist α) Sublist Sublist := ⟨Sublist.trans⟩
@[simp] theorem sublist_cons (a : α) (l : List α) : l <+ a :: l := (Sublist.refl l).cons _
theorem sublist_of_cons_sublist : a :: l₁ <+ l₂ → l₁ <+ l₂ :=
(sublist_cons a l₁).trans
@[simp] theorem sublist_append_left : ∀ l₁ l₂ : List α, l₁ <+ l₁ ++ l₂
| [], _ => nil_sublist _
| _ :: l₁, l₂ => (sublist_append_left l₁ l₂).cons₂ _
@[simp] theorem sublist_append_right : ∀ l₁ l₂ : List α, l₂ <+ l₁ ++ l₂
| [], _ => Sublist.refl _
| _ :: l₁, l₂ => (sublist_append_right l₁ l₂).cons _
theorem sublist_append_of_sublist_left (s : l <+ l₁) : l <+ l₁ ++ l₂ :=
s.trans <| sublist_append_left ..
theorem sublist_append_of_sublist_right (s : l <+ l₂) : l <+ l₁ ++ l₂ :=
s.trans <| sublist_append_right ..
@[simp]
theorem cons_sublist_cons : a :: l₁ <+ a :: l₂ ↔ l₁ <+ l₂ :=
⟨fun | .cons _ s => sublist_of_cons_sublist s | .cons₂ _ s => s, .cons₂ _⟩
@[simp] theorem append_sublist_append_left : ∀ l, l ++ l₁ <+ l ++ l₂ ↔ l₁ <+ l₂
| [] => Iff.rfl
| _ :: l => cons_sublist_cons.trans (append_sublist_append_left l)
theorem Sublist.append_left : l₁ <+ l₂ → ∀ l, l ++ l₁ <+ l ++ l₂ :=
fun h l => (append_sublist_append_left l).mpr h
theorem Sublist.append_right : l₁ <+ l₂ → ∀ l, l₁ ++ l <+ l₂ ++ l
| .slnil, _ => Sublist.refl _
| .cons _ h, _ => (h.append_right _).cons _
| .cons₂ _ h, _ => (h.append_right _).cons₂ _
theorem sublist_or_mem_of_sublist (h : l <+ l₁ ++ a :: l₂) : l <+ l₁ ++ l₂ ∨ a ∈ l := by
induction l₁ generalizing l with
| nil => match h with
| .cons _ h => exact .inl h
| .cons₂ _ h => exact .inr (.head ..)
| cons b l₁ IH =>
match h with
| .cons _ h => exact (IH h).imp_left (Sublist.cons _)
| .cons₂ _ h => exact (IH h).imp (Sublist.cons₂ _) (.tail _)
theorem Sublist.reverse : l₁ <+ l₂ → l₁.reverse <+ l₂.reverse
| .slnil => Sublist.refl _
| .cons _ h => by rw [reverse_cons]; exact sublist_append_of_sublist_left h.reverse
| .cons₂ _ h => by rw [reverse_cons, reverse_cons]; exact h.reverse.append_right _
@[simp] theorem reverse_sublist : l₁.reverse <+ l₂.reverse ↔ l₁ <+ l₂ :=
⟨fun h => l₁.reverse_reverse ▸ l₂.reverse_reverse ▸ h.reverse, Sublist.reverse⟩
@[simp] theorem append_sublist_append_right (l) : l₁ ++ l <+ l₂ ++ l ↔ l₁ <+ l₂ :=
⟨fun h => by
have := h.reverse
simp only [reverse_append, append_sublist_append_left, reverse_sublist] at this
exact this,
fun h => h.append_right l⟩
theorem Sublist.append (hl : l₁ <+ l₂) (hr : r₁ <+ r₂) : l₁ ++ r₁ <+ l₂ ++ r₂ :=
(hl.append_right _).trans ((append_sublist_append_left _).2 hr)
theorem Sublist.subset : l₁ <+ l₂ → l₁ ⊆ l₂
| .slnil, _, h => h
| .cons _ s, _, h => .tail _ (s.subset h)
| .cons₂ .., _, .head .. => .head ..
| .cons₂ _ s, _, .tail _ h => .tail _ (s.subset h)
instance : Trans (@Sublist α) Subset Subset :=
⟨fun h₁ h₂ => trans h₁.subset h₂⟩
instance : Trans Subset (@Sublist α) Subset :=
⟨fun h₁ h₂ => trans h₁ h₂.subset⟩
instance : Trans (Membership.mem : α → List α → Prop) Sublist Membership.mem :=
⟨fun h₁ h₂ => h₂.subset h₁⟩
theorem Sublist.length_le : l₁ <+ l₂ → length l₁ ≤ length l₂
| .slnil => Nat.le_refl 0
| .cons _l s => le_succ_of_le (length_le s)
| .cons₂ _ s => succ_le_succ (length_le s)
@[simp] theorem sublist_nil {l : List α} : l <+ [] ↔ l = [] :=
⟨fun s => subset_nil.1 s.subset, fun H => H ▸ Sublist.refl _⟩
theorem Sublist.eq_of_length : l₁ <+ l₂ → length l₁ = length l₂ → l₁ = l₂
| .slnil, _ => rfl
| .cons a s, h => nomatch Nat.not_lt.2 s.length_le (h ▸ lt_succ_self _)
| .cons₂ a s, h => by rw [s.eq_of_length (succ.inj h)]
theorem Sublist.eq_of_length_le (s : l₁ <+ l₂) (h : length l₂ ≤ length l₁) : l₁ = l₂ :=
s.eq_of_length <| Nat.le_antisymm s.length_le h
@[simp] theorem singleton_sublist {a : α} {l} : [a] <+ l ↔ a ∈ l := by
refine ⟨fun h => h.subset (mem_singleton_self _), fun h => ?_⟩
obtain ⟨_, _, rfl⟩ := append_of_mem h
exact ((nil_sublist _).cons₂ _).trans (sublist_append_right ..)
@[simp] theorem replicate_sublist_replicate {m n} (a : α) :
replicate m a <+ replicate n a ↔ m ≤ n := by
refine ⟨fun h => ?_, fun h => ?_⟩
· have := h.length_le; simp only [length_replicate] at this ⊢; exact this
· induction h with
| refl => apply Sublist.refl
| step => simp [*, replicate, Sublist.cons]
theorem isSublist_iff_sublist [BEq α] [LawfulBEq α] {l₁ l₂ : List α} :
l₁.isSublist l₂ ↔ l₁ <+ l₂ := by
cases l₁ <;> cases l₂ <;> simp [isSublist]
case cons.cons hd₁ tl₁ hd₂ tl₂ =>
if h_eq : hd₁ = hd₂ then
simp [h_eq, cons_sublist_cons, isSublist_iff_sublist]
else
simp only [beq_iff_eq, h_eq]
constructor
· intro h_sub
apply Sublist.cons
exact isSublist_iff_sublist.mp h_sub
· intro h_sub
cases h_sub
case cons h_sub =>
exact isSublist_iff_sublist.mpr h_sub
case cons₂ =>
contradiction
instance [DecidableEq α] (l₁ l₂ : List α) : Decidable (l₁ <+ l₂) :=
decidable_of_iff (l₁.isSublist l₂) isSublist_iff_sublist
theorem tail_eq_tailD (l) : @tail α l = tailD l [] := by cases l <;> rfl
| .lake/packages/batteries/Batteries/Data/List/Lemmas.lean | 237 | 237 | theorem tail_eq_tail? (l) : @tail α l = (tail? l).getD [] := by | simp [tail_eq_tailD]
|
import Mathlib.Topology.Category.TopCat.Limits.Products
#align_import topology.category.Top.limits.pullbacks from "leanprover-community/mathlib"@"178a32653e369dce2da68dc6b2694e385d484ef1"
-- Porting note: every ML3 decl has an uppercase letter
set_option linter.uppercaseLean3 false
open TopologicalSpace
open CategoryTheory
open CategoryTheory.Limits
universe v u w
noncomputable section
namespace TopCat
variable {J : Type v} [SmallCategory J]
section Pullback
variable {X Y Z : TopCat.{u}}
abbrev pullbackFst (f : X ⟶ Z) (g : Y ⟶ Z) : TopCat.of { p : X × Y // f p.1 = g p.2 } ⟶ X :=
⟨Prod.fst ∘ Subtype.val, by
apply Continuous.comp <;> set_option tactic.skipAssignedInstances false in continuity⟩
#align Top.pullback_fst TopCat.pullbackFst
lemma pullbackFst_apply (f : X ⟶ Z) (g : Y ⟶ Z) (x) : pullbackFst f g x = x.1.1 := rfl
abbrev pullbackSnd (f : X ⟶ Z) (g : Y ⟶ Z) : TopCat.of { p : X × Y // f p.1 = g p.2 } ⟶ Y :=
⟨Prod.snd ∘ Subtype.val, by
apply Continuous.comp <;> set_option tactic.skipAssignedInstances false in continuity⟩
#align Top.pullback_snd TopCat.pullbackSnd
lemma pullbackSnd_apply (f : X ⟶ Z) (g : Y ⟶ Z) (x) : pullbackSnd f g x = x.1.2 := rfl
def pullbackCone (f : X ⟶ Z) (g : Y ⟶ Z) : PullbackCone f g :=
PullbackCone.mk (pullbackFst f g) (pullbackSnd f g)
(by
dsimp [pullbackFst, pullbackSnd, Function.comp_def]
ext ⟨x, h⟩
-- Next 2 lines were
-- `rw [comp_apply, ContinuousMap.coe_mk, comp_apply, ContinuousMap.coe_mk]`
-- `exact h` before leanprover/lean4#2644
rw [comp_apply, comp_apply]
congr!)
#align Top.pullback_cone TopCat.pullbackCone
def pullbackConeIsLimit (f : X ⟶ Z) (g : Y ⟶ Z) : IsLimit (pullbackCone f g) :=
PullbackCone.isLimitAux' _
(by
intro S
constructor; swap
· exact
{ toFun := fun x =>
⟨⟨S.fst x, S.snd x⟩, by simpa using ConcreteCategory.congr_hom S.condition x⟩
continuous_toFun := by
apply Continuous.subtype_mk <| Continuous.prod_mk ?_ ?_
· exact (PullbackCone.fst S)|>.continuous_toFun
· exact (PullbackCone.snd S)|>.continuous_toFun
}
refine ⟨?_, ?_, ?_⟩
· delta pullbackCone
ext a
-- This used to be `rw`, but we need `erw` after leanprover/lean4#2644
erw [comp_apply, ContinuousMap.coe_mk]
· delta pullbackCone
ext a
-- This used to be `rw`, but we need `erw` after leanprover/lean4#2644
erw [comp_apply, ContinuousMap.coe_mk]
· intro m h₁ h₂
-- Porting note: used to be ext x
apply ContinuousMap.ext; intro x
apply Subtype.ext
apply Prod.ext
· simpa using ConcreteCategory.congr_hom h₁ x
· simpa using ConcreteCategory.congr_hom h₂ x)
#align Top.pullback_cone_is_limit TopCat.pullbackConeIsLimit
def pullbackIsoProdSubtype (f : X ⟶ Z) (g : Y ⟶ Z) :
pullback f g ≅ TopCat.of { p : X × Y // f p.1 = g p.2 } :=
(limit.isLimit _).conePointUniqueUpToIso (pullbackConeIsLimit f g)
#align Top.pullback_iso_prod_subtype TopCat.pullbackIsoProdSubtype
@[reassoc (attr := simp)]
theorem pullbackIsoProdSubtype_inv_fst (f : X ⟶ Z) (g : Y ⟶ Z) :
(pullbackIsoProdSubtype f g).inv ≫ pullback.fst = pullbackFst f g := by
simp [pullbackCone, pullbackIsoProdSubtype]
#align Top.pullback_iso_prod_subtype_inv_fst TopCat.pullbackIsoProdSubtype_inv_fst
theorem pullbackIsoProdSubtype_inv_fst_apply (f : X ⟶ Z) (g : Y ⟶ Z)
(x : { p : X × Y // f p.1 = g p.2 }) :
(pullback.fst : pullback f g ⟶ _) ((pullbackIsoProdSubtype f g).inv x) = (x : X × Y).fst :=
ConcreteCategory.congr_hom (pullbackIsoProdSubtype_inv_fst f g) x
#align Top.pullback_iso_prod_subtype_inv_fst_apply TopCat.pullbackIsoProdSubtype_inv_fst_apply
@[reassoc (attr := simp)]
theorem pullbackIsoProdSubtype_inv_snd (f : X ⟶ Z) (g : Y ⟶ Z) :
(pullbackIsoProdSubtype f g).inv ≫ pullback.snd = pullbackSnd f g := by
simp [pullbackCone, pullbackIsoProdSubtype]
#align Top.pullback_iso_prod_subtype_inv_snd TopCat.pullbackIsoProdSubtype_inv_snd
theorem pullbackIsoProdSubtype_inv_snd_apply (f : X ⟶ Z) (g : Y ⟶ Z)
(x : { p : X × Y // f p.1 = g p.2 }) :
(pullback.snd : pullback f g ⟶ _) ((pullbackIsoProdSubtype f g).inv x) = (x : X × Y).snd :=
ConcreteCategory.congr_hom (pullbackIsoProdSubtype_inv_snd f g) x
#align Top.pullback_iso_prod_subtype_inv_snd_apply TopCat.pullbackIsoProdSubtype_inv_snd_apply
theorem pullbackIsoProdSubtype_hom_fst (f : X ⟶ Z) (g : Y ⟶ Z) :
(pullbackIsoProdSubtype f g).hom ≫ pullbackFst f g = pullback.fst := by
rw [← Iso.eq_inv_comp, pullbackIsoProdSubtype_inv_fst]
#align Top.pullback_iso_prod_subtype_hom_fst TopCat.pullbackIsoProdSubtype_hom_fst
theorem pullbackIsoProdSubtype_hom_snd (f : X ⟶ Z) (g : Y ⟶ Z) :
(pullbackIsoProdSubtype f g).hom ≫ pullbackSnd f g = pullback.snd := by
rw [← Iso.eq_inv_comp, pullbackIsoProdSubtype_inv_snd]
#align Top.pullback_iso_prod_subtype_hom_snd TopCat.pullbackIsoProdSubtype_hom_snd
-- Porting note: why do I need to tell Lean to coerce pullback to a type
| Mathlib/Topology/Category/TopCat/Limits/Pullbacks.lean | 137 | 144 | theorem pullbackIsoProdSubtype_hom_apply {f : X ⟶ Z} {g : Y ⟶ Z}
(x : ConcreteCategory.forget.obj (pullback f g)) :
(pullbackIsoProdSubtype f g).hom x =
⟨⟨(pullback.fst : pullback f g ⟶ _) x, (pullback.snd : pullback f g ⟶ _) x⟩, by
simpa using ConcreteCategory.congr_hom pullback.condition x⟩ := by |
apply Subtype.ext; apply Prod.ext
exacts [ConcreteCategory.congr_hom (pullbackIsoProdSubtype_hom_fst f g) x,
ConcreteCategory.congr_hom (pullbackIsoProdSubtype_hom_snd f g) x]
|
import Mathlib.Topology.Maps
import Mathlib.Topology.NhdsSet
#align_import topology.constructions from "leanprover-community/mathlib"@"f7ebde7ee0d1505dfccac8644ae12371aa3c1c9f"
noncomputable section
open scoped Classical
open Topology TopologicalSpace Set Filter Function
universe u v
variable {X : Type u} {Y : Type v} {Z W ε ζ : Type*}
section Constructions
instance instTopologicalSpaceSubtype {p : X → Prop} [t : TopologicalSpace X] :
TopologicalSpace (Subtype p) :=
induced (↑) t
instance {r : X → X → Prop} [t : TopologicalSpace X] : TopologicalSpace (Quot r) :=
coinduced (Quot.mk r) t
instance instTopologicalSpaceQuotient {s : Setoid X} [t : TopologicalSpace X] :
TopologicalSpace (Quotient s) :=
coinduced Quotient.mk' t
instance instTopologicalSpaceProd [t₁ : TopologicalSpace X] [t₂ : TopologicalSpace Y] :
TopologicalSpace (X × Y) :=
induced Prod.fst t₁ ⊓ induced Prod.snd t₂
instance instTopologicalSpaceSum [t₁ : TopologicalSpace X] [t₂ : TopologicalSpace Y] :
TopologicalSpace (X ⊕ Y) :=
coinduced Sum.inl t₁ ⊔ coinduced Sum.inr t₂
instance instTopologicalSpaceSigma {ι : Type*} {X : ι → Type v} [t₂ : ∀ i, TopologicalSpace (X i)] :
TopologicalSpace (Sigma X) :=
⨆ i, coinduced (Sigma.mk i) (t₂ i)
instance Pi.topologicalSpace {ι : Type*} {Y : ι → Type v} [t₂ : (i : ι) → TopologicalSpace (Y i)] :
TopologicalSpace ((i : ι) → Y i) :=
⨅ i, induced (fun f => f i) (t₂ i)
#align Pi.topological_space Pi.topologicalSpace
instance ULift.topologicalSpace [t : TopologicalSpace X] : TopologicalSpace (ULift.{v, u} X) :=
t.induced ULift.down
#align ulift.topological_space ULift.topologicalSpace
section
variable [TopologicalSpace X]
open Additive Multiplicative
instance : TopologicalSpace (Additive X) := ‹TopologicalSpace X›
instance : TopologicalSpace (Multiplicative X) := ‹TopologicalSpace X›
instance [DiscreteTopology X] : DiscreteTopology (Additive X) := ‹DiscreteTopology X›
instance [DiscreteTopology X] : DiscreteTopology (Multiplicative X) := ‹DiscreteTopology X›
theorem continuous_ofMul : Continuous (ofMul : X → Additive X) := continuous_id
#align continuous_of_mul continuous_ofMul
theorem continuous_toMul : Continuous (toMul : Additive X → X) := continuous_id
#align continuous_to_mul continuous_toMul
theorem continuous_ofAdd : Continuous (ofAdd : X → Multiplicative X) := continuous_id
#align continuous_of_add continuous_ofAdd
theorem continuous_toAdd : Continuous (toAdd : Multiplicative X → X) := continuous_id
#align continuous_to_add continuous_toAdd
theorem isOpenMap_ofMul : IsOpenMap (ofMul : X → Additive X) := IsOpenMap.id
#align is_open_map_of_mul isOpenMap_ofMul
theorem isOpenMap_toMul : IsOpenMap (toMul : Additive X → X) := IsOpenMap.id
#align is_open_map_to_mul isOpenMap_toMul
theorem isOpenMap_ofAdd : IsOpenMap (ofAdd : X → Multiplicative X) := IsOpenMap.id
#align is_open_map_of_add isOpenMap_ofAdd
theorem isOpenMap_toAdd : IsOpenMap (toAdd : Multiplicative X → X) := IsOpenMap.id
#align is_open_map_to_add isOpenMap_toAdd
theorem isClosedMap_ofMul : IsClosedMap (ofMul : X → Additive X) := IsClosedMap.id
#align is_closed_map_of_mul isClosedMap_ofMul
theorem isClosedMap_toMul : IsClosedMap (toMul : Additive X → X) := IsClosedMap.id
#align is_closed_map_to_mul isClosedMap_toMul
theorem isClosedMap_ofAdd : IsClosedMap (ofAdd : X → Multiplicative X) := IsClosedMap.id
#align is_closed_map_of_add isClosedMap_ofAdd
theorem isClosedMap_toAdd : IsClosedMap (toAdd : Multiplicative X → X) := IsClosedMap.id
#align is_closed_map_to_add isClosedMap_toAdd
theorem nhds_ofMul (x : X) : 𝓝 (ofMul x) = map ofMul (𝓝 x) := rfl
#align nhds_of_mul nhds_ofMul
theorem nhds_ofAdd (x : X) : 𝓝 (ofAdd x) = map ofAdd (𝓝 x) := rfl
#align nhds_of_add nhds_ofAdd
theorem nhds_toMul (x : Additive X) : 𝓝 (toMul x) = map toMul (𝓝 x) := rfl
#align nhds_to_mul nhds_toMul
theorem nhds_toAdd (x : Multiplicative X) : 𝓝 (toAdd x) = map toAdd (𝓝 x) := rfl
#align nhds_to_add nhds_toAdd
end
section
variable [TopologicalSpace X]
open OrderDual
instance : TopologicalSpace Xᵒᵈ := ‹TopologicalSpace X›
instance [DiscreteTopology X] : DiscreteTopology Xᵒᵈ := ‹DiscreteTopology X›
theorem continuous_toDual : Continuous (toDual : X → Xᵒᵈ) := continuous_id
#align continuous_to_dual continuous_toDual
theorem continuous_ofDual : Continuous (ofDual : Xᵒᵈ → X) := continuous_id
#align continuous_of_dual continuous_ofDual
theorem isOpenMap_toDual : IsOpenMap (toDual : X → Xᵒᵈ) := IsOpenMap.id
#align is_open_map_to_dual isOpenMap_toDual
theorem isOpenMap_ofDual : IsOpenMap (ofDual : Xᵒᵈ → X) := IsOpenMap.id
#align is_open_map_of_dual isOpenMap_ofDual
theorem isClosedMap_toDual : IsClosedMap (toDual : X → Xᵒᵈ) := IsClosedMap.id
#align is_closed_map_to_dual isClosedMap_toDual
theorem isClosedMap_ofDual : IsClosedMap (ofDual : Xᵒᵈ → X) := IsClosedMap.id
#align is_closed_map_of_dual isClosedMap_ofDual
theorem nhds_toDual (x : X) : 𝓝 (toDual x) = map toDual (𝓝 x) := rfl
#align nhds_to_dual nhds_toDual
theorem nhds_ofDual (x : X) : 𝓝 (ofDual x) = map ofDual (𝓝 x) := rfl
#align nhds_of_dual nhds_ofDual
end
theorem Quotient.preimage_mem_nhds [TopologicalSpace X] [s : Setoid X] {V : Set <| Quotient s}
{x : X} (hs : V ∈ 𝓝 (Quotient.mk' x)) : Quotient.mk' ⁻¹' V ∈ 𝓝 x :=
preimage_nhds_coinduced hs
#align quotient.preimage_mem_nhds Quotient.preimage_mem_nhds
theorem Dense.quotient [Setoid X] [TopologicalSpace X] {s : Set X} (H : Dense s) :
Dense (Quotient.mk' '' s) :=
Quotient.surjective_Quotient_mk''.denseRange.dense_image continuous_coinduced_rng H
#align dense.quotient Dense.quotient
theorem DenseRange.quotient [Setoid X] [TopologicalSpace X] {f : Y → X} (hf : DenseRange f) :
DenseRange (Quotient.mk' ∘ f) :=
Quotient.surjective_Quotient_mk''.denseRange.comp hf continuous_coinduced_rng
#align dense_range.quotient DenseRange.quotient
theorem continuous_map_of_le {α : Type*} [TopologicalSpace α]
{s t : Setoid α} (h : s ≤ t) : Continuous (Setoid.map_of_le h) :=
continuous_coinduced_rng
theorem continuous_map_sInf {α : Type*} [TopologicalSpace α]
{S : Set (Setoid α)} {s : Setoid α} (h : s ∈ S) : Continuous (Setoid.map_sInf h) :=
continuous_coinduced_rng
instance {p : X → Prop} [TopologicalSpace X] [DiscreteTopology X] : DiscreteTopology (Subtype p) :=
⟨bot_unique fun s _ => ⟨(↑) '' s, isOpen_discrete _, preimage_image_eq _ Subtype.val_injective⟩⟩
instance Sum.discreteTopology [TopologicalSpace X] [TopologicalSpace Y] [h : DiscreteTopology X]
[hY : DiscreteTopology Y] : DiscreteTopology (X ⊕ Y) :=
⟨sup_eq_bot_iff.2 <| by simp [h.eq_bot, hY.eq_bot]⟩
#align sum.discrete_topology Sum.discreteTopology
instance Sigma.discreteTopology {ι : Type*} {Y : ι → Type v} [∀ i, TopologicalSpace (Y i)]
[h : ∀ i, DiscreteTopology (Y i)] : DiscreteTopology (Sigma Y) :=
⟨iSup_eq_bot.2 fun _ => by simp only [(h _).eq_bot, coinduced_bot]⟩
#align sigma.discrete_topology Sigma.discreteTopology
def CofiniteTopology (X : Type*) := X
#align cofinite_topology CofiniteTopology
section Sigma
variable {ι κ : Type*} {σ : ι → Type*} {τ : κ → Type*} [∀ i, TopologicalSpace (σ i)]
[∀ k, TopologicalSpace (τ k)] [TopologicalSpace X]
@[continuity]
theorem continuous_sigmaMk {i : ι} : Continuous (@Sigma.mk ι σ i) :=
continuous_iSup_rng continuous_coinduced_rng
#align continuous_sigma_mk continuous_sigmaMk
-- Porting note: the proof was `by simp only [isOpen_iSup_iff, isOpen_coinduced]`
theorem isOpen_sigma_iff {s : Set (Sigma σ)} : IsOpen s ↔ ∀ i, IsOpen (Sigma.mk i ⁻¹' s) := by
delta instTopologicalSpaceSigma
rw [isOpen_iSup_iff]
rfl
#align is_open_sigma_iff isOpen_sigma_iff
theorem isClosed_sigma_iff {s : Set (Sigma σ)} : IsClosed s ↔ ∀ i, IsClosed (Sigma.mk i ⁻¹' s) := by
simp only [← isOpen_compl_iff, isOpen_sigma_iff, preimage_compl]
#align is_closed_sigma_iff isClosed_sigma_iff
theorem isOpenMap_sigmaMk {i : ι} : IsOpenMap (@Sigma.mk ι σ i) := by
intro s hs
rw [isOpen_sigma_iff]
intro j
rcases eq_or_ne j i with (rfl | hne)
· rwa [preimage_image_eq _ sigma_mk_injective]
· rw [preimage_image_sigmaMk_of_ne hne]
exact isOpen_empty
#align is_open_map_sigma_mk isOpenMap_sigmaMk
theorem isOpen_range_sigmaMk {i : ι} : IsOpen (range (@Sigma.mk ι σ i)) :=
isOpenMap_sigmaMk.isOpen_range
#align is_open_range_sigma_mk isOpen_range_sigmaMk
theorem isClosedMap_sigmaMk {i : ι} : IsClosedMap (@Sigma.mk ι σ i) := by
intro s hs
rw [isClosed_sigma_iff]
intro j
rcases eq_or_ne j i with (rfl | hne)
· rwa [preimage_image_eq _ sigma_mk_injective]
· rw [preimage_image_sigmaMk_of_ne hne]
exact isClosed_empty
#align is_closed_map_sigma_mk isClosedMap_sigmaMk
theorem isClosed_range_sigmaMk {i : ι} : IsClosed (range (@Sigma.mk ι σ i)) :=
isClosedMap_sigmaMk.isClosed_range
#align is_closed_range_sigma_mk isClosed_range_sigmaMk
theorem openEmbedding_sigmaMk {i : ι} : OpenEmbedding (@Sigma.mk ι σ i) :=
openEmbedding_of_continuous_injective_open continuous_sigmaMk sigma_mk_injective
isOpenMap_sigmaMk
#align open_embedding_sigma_mk openEmbedding_sigmaMk
theorem closedEmbedding_sigmaMk {i : ι} : ClosedEmbedding (@Sigma.mk ι σ i) :=
closedEmbedding_of_continuous_injective_closed continuous_sigmaMk sigma_mk_injective
isClosedMap_sigmaMk
#align closed_embedding_sigma_mk closedEmbedding_sigmaMk
theorem embedding_sigmaMk {i : ι} : Embedding (@Sigma.mk ι σ i) :=
closedEmbedding_sigmaMk.1
#align embedding_sigma_mk embedding_sigmaMk
theorem Sigma.nhds_mk (i : ι) (x : σ i) : 𝓝 (⟨i, x⟩ : Sigma σ) = Filter.map (Sigma.mk i) (𝓝 x) :=
(openEmbedding_sigmaMk.map_nhds_eq x).symm
#align sigma.nhds_mk Sigma.nhds_mk
theorem Sigma.nhds_eq (x : Sigma σ) : 𝓝 x = Filter.map (Sigma.mk x.1) (𝓝 x.2) := by
cases x
apply Sigma.nhds_mk
#align sigma.nhds_eq Sigma.nhds_eq
theorem comap_sigmaMk_nhds (i : ι) (x : σ i) : comap (Sigma.mk i) (𝓝 ⟨i, x⟩) = 𝓝 x :=
(embedding_sigmaMk.nhds_eq_comap _).symm
#align comap_sigma_mk_nhds comap_sigmaMk_nhds
theorem isOpen_sigma_fst_preimage (s : Set ι) : IsOpen (Sigma.fst ⁻¹' s : Set (Σ a, σ a)) := by
rw [← biUnion_of_singleton s, preimage_iUnion₂]
simp only [← range_sigmaMk]
exact isOpen_biUnion fun _ _ => isOpen_range_sigmaMk
#align is_open_sigma_fst_preimage isOpen_sigma_fst_preimage
@[simp]
theorem continuous_sigma_iff {f : Sigma σ → X} :
Continuous f ↔ ∀ i, Continuous fun a => f ⟨i, a⟩ := by
delta instTopologicalSpaceSigma
rw [continuous_iSup_dom]
exact forall_congr' fun _ => continuous_coinduced_dom
#align continuous_sigma_iff continuous_sigma_iff
@[continuity]
theorem continuous_sigma {f : Sigma σ → X} (hf : ∀ i, Continuous fun a => f ⟨i, a⟩) :
Continuous f :=
continuous_sigma_iff.2 hf
#align continuous_sigma continuous_sigma
theorem inducing_sigma {f : Sigma σ → X} :
Inducing f ↔ (∀ i, Inducing (f ∘ Sigma.mk i)) ∧
(∀ i, ∃ U, IsOpen U ∧ ∀ x, f x ∈ U ↔ x.1 = i) := by
refine ⟨fun h ↦ ⟨fun i ↦ h.comp embedding_sigmaMk.1, fun i ↦ ?_⟩, ?_⟩
· rcases h.isOpen_iff.1 (isOpen_range_sigmaMk (i := i)) with ⟨U, hUo, hU⟩
refine ⟨U, hUo, ?_⟩
simpa [ext_iff] using hU
· refine fun ⟨h₁, h₂⟩ ↦ inducing_iff_nhds.2 fun ⟨i, x⟩ ↦ ?_
rw [Sigma.nhds_mk, (h₁ i).nhds_eq_comap, comp_apply, ← comap_comap, map_comap_of_mem]
rcases h₂ i with ⟨U, hUo, hU⟩
filter_upwards [preimage_mem_comap <| hUo.mem_nhds <| (hU _).2 rfl] with y hy
simpa [hU] using hy
@[simp 1100]
theorem continuous_sigma_map {f₁ : ι → κ} {f₂ : ∀ i, σ i → τ (f₁ i)} :
Continuous (Sigma.map f₁ f₂) ↔ ∀ i, Continuous (f₂ i) :=
continuous_sigma_iff.trans <| by simp only [Sigma.map, embedding_sigmaMk.continuous_iff, comp]
#align continuous_sigma_map continuous_sigma_map
@[continuity]
theorem Continuous.sigma_map {f₁ : ι → κ} {f₂ : ∀ i, σ i → τ (f₁ i)} (hf : ∀ i, Continuous (f₂ i)) :
Continuous (Sigma.map f₁ f₂) :=
continuous_sigma_map.2 hf
#align continuous.sigma_map Continuous.sigma_map
theorem isOpenMap_sigma {f : Sigma σ → X} : IsOpenMap f ↔ ∀ i, IsOpenMap fun a => f ⟨i, a⟩ := by
simp only [isOpenMap_iff_nhds_le, Sigma.forall, Sigma.nhds_eq, map_map, comp]
#align is_open_map_sigma isOpenMap_sigma
theorem isOpenMap_sigma_map {f₁ : ι → κ} {f₂ : ∀ i, σ i → τ (f₁ i)} :
IsOpenMap (Sigma.map f₁ f₂) ↔ ∀ i, IsOpenMap (f₂ i) :=
isOpenMap_sigma.trans <|
forall_congr' fun i => (@openEmbedding_sigmaMk _ _ _ (f₁ i)).isOpenMap_iff.symm
#align is_open_map_sigma_map isOpenMap_sigma_map
theorem inducing_sigma_map {f₁ : ι → κ} {f₂ : ∀ i, σ i → τ (f₁ i)} (h₁ : Injective f₁) :
Inducing (Sigma.map f₁ f₂) ↔ ∀ i, Inducing (f₂ i) := by
simp only [inducing_iff_nhds, Sigma.forall, Sigma.nhds_mk, Sigma.map_mk, ← map_sigma_mk_comap h₁,
map_inj sigma_mk_injective]
#align inducing_sigma_map inducing_sigma_map
| Mathlib/Topology/Constructions.lean | 1,712 | 1,714 | theorem embedding_sigma_map {f₁ : ι → κ} {f₂ : ∀ i, σ i → τ (f₁ i)} (h : Injective f₁) :
Embedding (Sigma.map f₁ f₂) ↔ ∀ i, Embedding (f₂ i) := by |
simp only [embedding_iff, Injective.sigma_map, inducing_sigma_map h, forall_and, h.sigma_map_iff]
|
import Aesop
import Mathlib.Algebra.Group.Defs
import Mathlib.Data.Nat.Defs
import Mathlib.Data.Int.Defs
import Mathlib.Logic.Function.Basic
import Mathlib.Tactic.Cases
import Mathlib.Tactic.SimpRw
import Mathlib.Tactic.SplitIfs
#align_import algebra.group.basic from "leanprover-community/mathlib"@"a07d750983b94c530ab69a726862c2ab6802b38c"
assert_not_exists MonoidWithZero
assert_not_exists DenselyOrdered
open Function
universe u
variable {α β G M : Type*}
section Semigroup
variable [Semigroup α]
@[to_additive]
instance Semigroup.to_isAssociative : Std.Associative (α := α) (· * ·) := ⟨mul_assoc⟩
#align semigroup.to_is_associative Semigroup.to_isAssociative
#align add_semigroup.to_is_associative AddSemigroup.to_isAssociative
@[to_additive (attr := simp) "Composing two additions on the left by `y` then `x`
is equal to an addition on the left by `x + y`."]
theorem comp_mul_left (x y : α) : (x * ·) ∘ (y * ·) = (x * y * ·) := by
ext z
simp [mul_assoc]
#align comp_mul_left comp_mul_left
#align comp_add_left comp_add_left
@[to_additive (attr := simp) "Composing two additions on the right by `y` and `x`
is equal to an addition on the right by `y + x`."]
| Mathlib/Algebra/Group/Basic.lean | 128 | 130 | theorem comp_mul_right (x y : α) : (· * x) ∘ (· * y) = (· * (y * x)) := by |
ext z
simp [mul_assoc]
|
import Mathlib.Init.Function
import Mathlib.Logic.Function.Basic
#align_import data.sigma.basic from "leanprover-community/mathlib"@"a148d797a1094ab554ad4183a4ad6f130358ef64"
open Function
namespace PSigma
variable {α : Sort*} {β : α → Sort*}
def elim {γ} (f : ∀ a, β a → γ) (a : PSigma β) : γ :=
PSigma.casesOn a f
#align psigma.elim PSigma.elim
@[simp]
theorem elim_val {γ} (f : ∀ a, β a → γ) (a b) : PSigma.elim f ⟨a, b⟩ = f a b :=
rfl
#align psigma.elim_val PSigma.elim_val
instance [Inhabited α] [Inhabited (β default)] : Inhabited (PSigma β) :=
⟨⟨default, default⟩⟩
instance decidableEq [h₁ : DecidableEq α] [h₂ : ∀ a, DecidableEq (β a)] : DecidableEq (PSigma β)
| ⟨a₁, b₁⟩, ⟨a₂, b₂⟩ =>
match a₁, b₁, a₂, b₂, h₁ a₁ a₂ with
| _, b₁, _, b₂, isTrue (Eq.refl _) =>
match b₁, b₂, h₂ _ b₁ b₂ with
| _, _, isTrue (Eq.refl _) => isTrue rfl
| _, _, isFalse n => isFalse fun h ↦ PSigma.noConfusion h fun _ e₂ ↦ n <| eq_of_heq e₂
| _, _, _, _, isFalse n => isFalse fun h ↦ PSigma.noConfusion h fun e₁ _ ↦ n e₁
-- See https://leanprover.zulipchat.com/#narrow/stream/287929-mathlib4/topic/porting.20data.2Esigma.2Ebasic/near/304855864
-- for an explanation of why this is currently needed. It generates `PSigma.mk.inj`.
-- This could be done elsewhere.
gen_injective_theorems% PSigma
theorem mk.inj_iff {a₁ a₂ : α} {b₁ : β a₁} {b₂ : β a₂} :
@PSigma.mk α β a₁ b₁ = @PSigma.mk α β a₂ b₂ ↔ a₁ = a₂ ∧ HEq b₁ b₂ :=
(Iff.intro PSigma.mk.inj) fun ⟨h₁, h₂⟩ ↦
match a₁, a₂, b₁, b₂, h₁, h₂ with
| _, _, _, _, Eq.refl _, HEq.refl _ => rfl
#align psigma.mk.inj_iff PSigma.mk.inj_iff
#align psigma.ext PSigma.ext
| Mathlib/Data/Sigma/Basic.lean | 273 | 274 | theorem ext_iff {x₀ x₁ : PSigma β} : x₀ = x₁ ↔ x₀.1 = x₁.1 ∧ HEq x₀.2 x₁.2 := by |
cases x₀; cases x₁; exact PSigma.mk.inj_iff
|
import Mathlib.Order.PropInstances
#align_import order.heyting.basic from "leanprover-community/mathlib"@"9ac7c0c8c4d7a535ec3e5b34b8859aab9233b2f4"
open Function OrderDual
universe u
variable {ι α β : Type*}
section
variable (α β)
instance Prod.instHImp [HImp α] [HImp β] : HImp (α × β) :=
⟨fun a b => (a.1 ⇨ b.1, a.2 ⇨ b.2)⟩
instance Prod.instHNot [HNot α] [HNot β] : HNot (α × β) :=
⟨fun a => (￢a.1, ￢a.2)⟩
instance Prod.instSDiff [SDiff α] [SDiff β] : SDiff (α × β) :=
⟨fun a b => (a.1 \ b.1, a.2 \ b.2)⟩
instance Prod.instHasCompl [HasCompl α] [HasCompl β] : HasCompl (α × β) :=
⟨fun a => (a.1ᶜ, a.2ᶜ)⟩
end
@[simp]
theorem fst_himp [HImp α] [HImp β] (a b : α × β) : (a ⇨ b).1 = a.1 ⇨ b.1 :=
rfl
#align fst_himp fst_himp
@[simp]
theorem snd_himp [HImp α] [HImp β] (a b : α × β) : (a ⇨ b).2 = a.2 ⇨ b.2 :=
rfl
#align snd_himp snd_himp
@[simp]
theorem fst_hnot [HNot α] [HNot β] (a : α × β) : (￢a).1 = ￢a.1 :=
rfl
#align fst_hnot fst_hnot
@[simp]
theorem snd_hnot [HNot α] [HNot β] (a : α × β) : (￢a).2 = ￢a.2 :=
rfl
#align snd_hnot snd_hnot
@[simp]
theorem fst_sdiff [SDiff α] [SDiff β] (a b : α × β) : (a \ b).1 = a.1 \ b.1 :=
rfl
#align fst_sdiff fst_sdiff
@[simp]
theorem snd_sdiff [SDiff α] [SDiff β] (a b : α × β) : (a \ b).2 = a.2 \ b.2 :=
rfl
#align snd_sdiff snd_sdiff
@[simp]
theorem fst_compl [HasCompl α] [HasCompl β] (a : α × β) : aᶜ.1 = a.1ᶜ :=
rfl
#align fst_compl fst_compl
@[simp]
theorem snd_compl [HasCompl α] [HasCompl β] (a : α × β) : aᶜ.2 = a.2ᶜ :=
rfl
#align snd_compl snd_compl
class GeneralizedHeytingAlgebra (α : Type*) extends Lattice α, OrderTop α, HImp α where
le_himp_iff (a b c : α) : a ≤ b ⇨ c ↔ a ⊓ b ≤ c
#align generalized_heyting_algebra GeneralizedHeytingAlgebra
#align generalized_heyting_algebra.to_order_top GeneralizedHeytingAlgebra.toOrderTop
class GeneralizedCoheytingAlgebra (α : Type*) extends Lattice α, OrderBot α, SDiff α where
sdiff_le_iff (a b c : α) : a \ b ≤ c ↔ a ≤ b ⊔ c
#align generalized_coheyting_algebra GeneralizedCoheytingAlgebra
#align generalized_coheyting_algebra.to_order_bot GeneralizedCoheytingAlgebra.toOrderBot
class HeytingAlgebra (α : Type*) extends GeneralizedHeytingAlgebra α, OrderBot α, HasCompl α where
himp_bot (a : α) : a ⇨ ⊥ = aᶜ
#align heyting_algebra HeytingAlgebra
class CoheytingAlgebra (α : Type*) extends GeneralizedCoheytingAlgebra α, OrderTop α, HNot α where
top_sdiff (a : α) : ⊤ \ a = ￢a
#align coheyting_algebra CoheytingAlgebra
class BiheytingAlgebra (α : Type*) extends HeytingAlgebra α, SDiff α, HNot α where
sdiff_le_iff (a b c : α) : a \ b ≤ c ↔ a ≤ b ⊔ c
top_sdiff (a : α) : ⊤ \ a = ￢a
#align biheyting_algebra BiheytingAlgebra
-- See note [lower instance priority]
attribute [instance 100] GeneralizedHeytingAlgebra.toOrderTop
attribute [instance 100] GeneralizedCoheytingAlgebra.toOrderBot
-- See note [lower instance priority]
instance (priority := 100) HeytingAlgebra.toBoundedOrder [HeytingAlgebra α] : BoundedOrder α :=
{ bot_le := ‹HeytingAlgebra α›.bot_le }
--#align heyting_algebra.to_bounded_order HeytingAlgebra.toBoundedOrder
-- See note [lower instance priority]
instance (priority := 100) CoheytingAlgebra.toBoundedOrder [CoheytingAlgebra α] : BoundedOrder α :=
{ ‹CoheytingAlgebra α› with }
#align coheyting_algebra.to_bounded_order CoheytingAlgebra.toBoundedOrder
-- See note [lower instance priority]
instance (priority := 100) BiheytingAlgebra.toCoheytingAlgebra [BiheytingAlgebra α] :
CoheytingAlgebra α :=
{ ‹BiheytingAlgebra α› with }
#align biheyting_algebra.to_coheyting_algebra BiheytingAlgebra.toCoheytingAlgebra
-- See note [reducible non-instances]
abbrev HeytingAlgebra.ofHImp [DistribLattice α] [BoundedOrder α] (himp : α → α → α)
(le_himp_iff : ∀ a b c, a ≤ himp b c ↔ a ⊓ b ≤ c) : HeytingAlgebra α :=
{ ‹DistribLattice α›, ‹BoundedOrder α› with
himp,
compl := fun a => himp a ⊥,
le_himp_iff,
himp_bot := fun a => rfl }
#align heyting_algebra.of_himp HeytingAlgebra.ofHImp
-- See note [reducible non-instances]
abbrev HeytingAlgebra.ofCompl [DistribLattice α] [BoundedOrder α] (compl : α → α)
(le_himp_iff : ∀ a b c, a ≤ compl b ⊔ c ↔ a ⊓ b ≤ c) : HeytingAlgebra α where
himp := (compl · ⊔ ·)
compl := compl
le_himp_iff := le_himp_iff
himp_bot _ := sup_bot_eq _
#align heyting_algebra.of_compl HeytingAlgebra.ofCompl
-- See note [reducible non-instances]
abbrev CoheytingAlgebra.ofSDiff [DistribLattice α] [BoundedOrder α] (sdiff : α → α → α)
(sdiff_le_iff : ∀ a b c, sdiff a b ≤ c ↔ a ≤ b ⊔ c) : CoheytingAlgebra α :=
{ ‹DistribLattice α›, ‹BoundedOrder α› with
sdiff,
hnot := fun a => sdiff ⊤ a,
sdiff_le_iff,
top_sdiff := fun a => rfl }
#align coheyting_algebra.of_sdiff CoheytingAlgebra.ofSDiff
-- See note [reducible non-instances]
abbrev CoheytingAlgebra.ofHNot [DistribLattice α] [BoundedOrder α] (hnot : α → α)
(sdiff_le_iff : ∀ a b c, a ⊓ hnot b ≤ c ↔ a ≤ b ⊔ c) : CoheytingAlgebra α where
sdiff a b := a ⊓ hnot b
hnot := hnot
sdiff_le_iff := sdiff_le_iff
top_sdiff _ := top_inf_eq _
#align coheyting_algebra.of_hnot CoheytingAlgebra.ofHNot
section GeneralizedHeytingAlgebra
variable [GeneralizedHeytingAlgebra α] {a b c d : α}
@[simp]
theorem le_himp_iff : a ≤ b ⇨ c ↔ a ⊓ b ≤ c :=
GeneralizedHeytingAlgebra.le_himp_iff _ _ _
#align le_himp_iff le_himp_iff
theorem le_himp_iff' : a ≤ b ⇨ c ↔ b ⊓ a ≤ c := by rw [le_himp_iff, inf_comm]
#align le_himp_iff' le_himp_iff'
theorem le_himp_comm : a ≤ b ⇨ c ↔ b ≤ a ⇨ c := by rw [le_himp_iff, le_himp_iff']
#align le_himp_comm le_himp_comm
theorem le_himp : a ≤ b ⇨ a :=
le_himp_iff.2 inf_le_left
#align le_himp le_himp
| Mathlib/Order/Heyting/Basic.lean | 274 | 274 | theorem le_himp_iff_left : a ≤ a ⇨ b ↔ a ≤ b := by | rw [le_himp_iff, inf_idem]
|
import Mathlib.Algebra.Group.Subgroup.Finite
import Mathlib.Data.Finset.Fin
import Mathlib.Data.Finset.Sort
import Mathlib.Data.Int.Order.Units
import Mathlib.GroupTheory.Perm.Support
import Mathlib.Logic.Equiv.Fin
import Mathlib.Tactic.NormNum.Ineq
#align_import group_theory.perm.sign from "leanprover-community/mathlib"@"f694c7dead66f5d4c80f446c796a5aad14707f0e"
universe u v
open Equiv Function Fintype Finset
variable {α : Type u} [DecidableEq α] {β : Type v}
namespace Equiv.Perm
def modSwap (i j : α) : Setoid (Perm α) :=
⟨fun σ τ => σ = τ ∨ σ = swap i j * τ, fun σ => Or.inl (refl σ), fun {σ τ} h =>
Or.casesOn h (fun h => Or.inl h.symm) fun h => Or.inr (by rw [h, swap_mul_self_mul]),
fun {σ τ υ} hστ hτυ => by
cases' hστ with hστ hστ <;> cases' hτυ with hτυ hτυ <;> try rw [hστ, hτυ, swap_mul_self_mul] <;>
simp [hστ, hτυ] -- Porting note: should close goals, but doesn't
· simp [hστ, hτυ]
· simp [hστ, hτυ]
· simp [hστ, hτυ]⟩
#align equiv.perm.mod_swap Equiv.Perm.modSwap
noncomputable instance {α : Type*} [Fintype α] [DecidableEq α] (i j : α) :
DecidableRel (modSwap i j).r :=
fun _ _ => Or.decidable
def swapFactorsAux :
∀ (l : List α) (f : Perm α),
(∀ {x}, f x ≠ x → x ∈ l) → { l : List (Perm α) // l.prod = f ∧ ∀ g ∈ l, IsSwap g }
| [] => fun f h =>
⟨[],
Equiv.ext fun x => by
rw [List.prod_nil]
exact (Classical.not_not.1 (mt h (List.not_mem_nil _))).symm,
by simp⟩
| x::l => fun f h =>
if hfx : x = f x then
swapFactorsAux l f fun {y} hy =>
List.mem_of_ne_of_mem (fun h : y = x => by simp [h, hfx.symm] at hy) (h hy)
else
let m :=
swapFactorsAux l (swap x (f x) * f) fun {y} hy =>
have : f y ≠ y ∧ y ≠ x := ne_and_ne_of_swap_mul_apply_ne_self hy
List.mem_of_ne_of_mem this.2 (h this.1)
⟨swap x (f x)::m.1, by
rw [List.prod_cons, m.2.1, ← mul_assoc, mul_def (swap x (f x)), swap_swap, ← one_def,
one_mul],
fun {g} hg => ((List.mem_cons).1 hg).elim (fun h => ⟨x, f x, hfx, h⟩) (m.2.2 _)⟩
#align equiv.perm.swap_factors_aux Equiv.Perm.swapFactorsAux
def swapFactors [Fintype α] [LinearOrder α] (f : Perm α) :
{ l : List (Perm α) // l.prod = f ∧ ∀ g ∈ l, IsSwap g } :=
swapFactorsAux ((@univ α _).sort (· ≤ ·)) f fun {_ _} => (mem_sort _).2 (mem_univ _)
#align equiv.perm.swap_factors Equiv.Perm.swapFactors
def truncSwapFactors [Fintype α] (f : Perm α) :
Trunc { l : List (Perm α) // l.prod = f ∧ ∀ g ∈ l, IsSwap g } :=
Quotient.recOnSubsingleton (@univ α _).1 (fun l h => Trunc.mk (swapFactorsAux l f (h _)))
(show ∀ x, f x ≠ x → x ∈ (@univ α _).1 from fun _ _ => mem_univ _)
#align equiv.perm.trunc_swap_factors Equiv.Perm.truncSwapFactors
@[elab_as_elim]
theorem swap_induction_on [Finite α] {P : Perm α → Prop} (f : Perm α) :
P 1 → (∀ f x y, x ≠ y → P f → P (swap x y * f)) → P f := by
cases nonempty_fintype α
cases' (truncSwapFactors f).out with l hl
induction' l with g l ih generalizing f
· simp (config := { contextual := true }) only [hl.left.symm, List.prod_nil, forall_true_iff]
· intro h1 hmul_swap
rcases hl.2 g (by simp) with ⟨x, y, hxy⟩
rw [← hl.1, List.prod_cons, hxy.2]
exact
hmul_swap _ _ _ hxy.1
(ih _ ⟨rfl, fun v hv => hl.2 _ (List.mem_cons_of_mem _ hv)⟩ h1 hmul_swap)
#align equiv.perm.swap_induction_on Equiv.Perm.swap_induction_on
theorem closure_isSwap [Finite α] : Subgroup.closure { σ : Perm α | IsSwap σ } = ⊤ := by
cases nonempty_fintype α
refine eq_top_iff.mpr fun x _ => ?_
obtain ⟨h1, h2⟩ := Subtype.mem (truncSwapFactors x).out
rw [← h1]
exact Subgroup.list_prod_mem _ fun y hy => Subgroup.subset_closure (h2 y hy)
#align equiv.perm.closure_is_swap Equiv.Perm.closure_isSwap
@[elab_as_elim]
theorem swap_induction_on' [Finite α] {P : Perm α → Prop} (f : Perm α) :
P 1 → (∀ f x y, x ≠ y → P f → P (f * swap x y)) → P f := fun h1 IH =>
inv_inv f ▸ swap_induction_on f⁻¹ h1 fun f => IH f⁻¹
#align equiv.perm.swap_induction_on' Equiv.Perm.swap_induction_on'
theorem isConj_swap {w x y z : α} (hwx : w ≠ x) (hyz : y ≠ z) : IsConj (swap w x) (swap y z) :=
isConj_iff.2
(have h :
∀ {y z : α},
y ≠ z → w ≠ z → swap w y * swap x z * swap w x * (swap w y * swap x z)⁻¹ = swap y z :=
fun {y z} hyz hwz => by
rw [mul_inv_rev, swap_inv, swap_inv, mul_assoc (swap w y), mul_assoc (swap w y), ←
mul_assoc _ (swap x z), swap_mul_swap_mul_swap hwx hwz, ← mul_assoc,
swap_mul_swap_mul_swap hwz.symm hyz.symm]
if hwz : w = z then
have hwy : w ≠ y := by rw [hwz]; exact hyz.symm
⟨swap w z * swap x y, by rw [swap_comm y z, h hyz.symm hwy]⟩
else ⟨swap w y * swap x z, h hyz hwz⟩)
#align equiv.perm.is_conj_swap Equiv.Perm.isConj_swap
def finPairsLT (n : ℕ) : Finset (Σ_ : Fin n, Fin n) :=
(univ : Finset (Fin n)).sigma fun a => (range a).attachFin fun _ hm => (mem_range.1 hm).trans a.2
#align equiv.perm.fin_pairs_lt Equiv.Perm.finPairsLT
| Mathlib/GroupTheory/Perm/Sign.lean | 151 | 153 | theorem mem_finPairsLT {n : ℕ} {a : Σ_ : Fin n, Fin n} : a ∈ finPairsLT n ↔ a.2 < a.1 := by |
simp only [finPairsLT, Fin.lt_iff_val_lt_val, true_and_iff, mem_attachFin, mem_range, mem_univ,
mem_sigma]
|
import Mathlib.LinearAlgebra.FiniteDimensional
import Mathlib.MeasureTheory.Group.Pointwise
import Mathlib.MeasureTheory.Measure.Lebesgue.Basic
import Mathlib.MeasureTheory.Measure.Haar.Basic
import Mathlib.MeasureTheory.Measure.Doubling
import Mathlib.MeasureTheory.Constructions.BorelSpace.Metric
#align_import measure_theory.measure.lebesgue.eq_haar from "leanprover-community/mathlib"@"fd5edc43dc4f10b85abfe544b88f82cf13c5f844"
assert_not_exists MeasureTheory.integral
open TopologicalSpace Set Filter Metric Bornology
open scoped ENNReal Pointwise Topology NNReal
def TopologicalSpace.PositiveCompacts.Icc01 : PositiveCompacts ℝ where
carrier := Icc 0 1
isCompact' := isCompact_Icc
interior_nonempty' := by simp_rw [interior_Icc, nonempty_Ioo, zero_lt_one]
#align topological_space.positive_compacts.Icc01 TopologicalSpace.PositiveCompacts.Icc01
universe u
def TopologicalSpace.PositiveCompacts.piIcc01 (ι : Type*) [Finite ι] :
PositiveCompacts (ι → ℝ) where
carrier := pi univ fun _ => Icc 0 1
isCompact' := isCompact_univ_pi fun _ => isCompact_Icc
interior_nonempty' := by
simp only [interior_pi_set, Set.toFinite, interior_Icc, univ_pi_nonempty_iff, nonempty_Ioo,
imp_true_iff, zero_lt_one]
#align topological_space.positive_compacts.pi_Icc01 TopologicalSpace.PositiveCompacts.piIcc01
theorem Basis.parallelepiped_basisFun (ι : Type*) [Fintype ι] :
(Pi.basisFun ℝ ι).parallelepiped = TopologicalSpace.PositiveCompacts.piIcc01 ι :=
SetLike.coe_injective <| by
refine Eq.trans ?_ ((uIcc_of_le ?_).trans (Set.pi_univ_Icc _ _).symm)
· classical convert parallelepiped_single (ι := ι) 1
· exact zero_le_one
#align basis.parallelepiped_basis_fun Basis.parallelepiped_basisFun
theorem Basis.parallelepiped_eq_map {ι E : Type*} [Fintype ι] [NormedAddCommGroup E]
[NormedSpace ℝ E] (b : Basis ι ℝ E) :
b.parallelepiped = (PositiveCompacts.piIcc01 ι).map b.equivFun.symm
b.equivFunL.symm.continuous b.equivFunL.symm.isOpenMap := by
classical
rw [← Basis.parallelepiped_basisFun, ← Basis.parallelepiped_map]
congr with x
simp
open MeasureTheory MeasureTheory.Measure
theorem Basis.map_addHaar {ι E F : Type*} [Fintype ι] [NormedAddCommGroup E] [NormedAddCommGroup F]
[NormedSpace ℝ E] [NormedSpace ℝ F] [MeasurableSpace E] [MeasurableSpace F] [BorelSpace E]
[BorelSpace F] [SecondCountableTopology F] [SigmaCompactSpace F]
(b : Basis ι ℝ E) (f : E ≃L[ℝ] F) :
map f b.addHaar = (b.map f.toLinearEquiv).addHaar := by
have : IsAddHaarMeasure (map f b.addHaar) :=
AddEquiv.isAddHaarMeasure_map b.addHaar f.toAddEquiv f.continuous f.symm.continuous
rw [eq_comm, Basis.addHaar_eq_iff, Measure.map_apply f.continuous.measurable
(PositiveCompacts.isCompact _).measurableSet, Basis.coe_parallelepiped, Basis.coe_map]
erw [← image_parallelepiped, f.toEquiv.preimage_image, addHaar_self]
namespace MeasureTheory
open Measure TopologicalSpace.PositiveCompacts FiniteDimensional
theorem addHaarMeasure_eq_volume : addHaarMeasure Icc01 = volume := by
convert (addHaarMeasure_unique volume Icc01).symm; simp [Icc01]
#align measure_theory.add_haar_measure_eq_volume MeasureTheory.addHaarMeasure_eq_volume
theorem addHaarMeasure_eq_volume_pi (ι : Type*) [Fintype ι] :
addHaarMeasure (piIcc01 ι) = volume := by
convert (addHaarMeasure_unique volume (piIcc01 ι)).symm
simp only [piIcc01, volume_pi_pi fun _ => Icc (0 : ℝ) 1, PositiveCompacts.coe_mk,
Compacts.coe_mk, Finset.prod_const_one, ENNReal.ofReal_one, Real.volume_Icc, one_smul, sub_zero]
#align measure_theory.add_haar_measure_eq_volume_pi MeasureTheory.addHaarMeasure_eq_volume_pi
-- Porting note (#11215): TODO: remove this instance?
instance isAddHaarMeasure_volume_pi (ι : Type*) [Fintype ι] :
IsAddHaarMeasure (volume : Measure (ι → ℝ)) :=
inferInstance
#align measure_theory.is_add_haar_measure_volume_pi MeasureTheory.isAddHaarMeasure_volume_pi
namespace Measure
theorem addHaar_eq_zero_of_disjoint_translates_aux {E : Type*} [NormedAddCommGroup E]
[NormedSpace ℝ E] [MeasurableSpace E] [BorelSpace E] [FiniteDimensional ℝ E] (μ : Measure E)
[IsAddHaarMeasure μ] {s : Set E} (u : ℕ → E) (sb : IsBounded s) (hu : IsBounded (range u))
(hs : Pairwise (Disjoint on fun n => {u n} + s)) (h's : MeasurableSet s) : μ s = 0 := by
by_contra h
apply lt_irrefl ∞
calc
∞ = ∑' _ : ℕ, μ s := (ENNReal.tsum_const_eq_top_of_ne_zero h).symm
_ = ∑' n : ℕ, μ ({u n} + s) := by
congr 1; ext1 n; simp only [image_add_left, measure_preimage_add, singleton_add]
_ = μ (⋃ n, {u n} + s) := Eq.symm <| measure_iUnion hs fun n => by
simpa only [image_add_left, singleton_add] using measurable_id.const_add _ h's
_ = μ (range u + s) := by rw [← iUnion_add, iUnion_singleton_eq_range]
_ < ∞ := (hu.add sb).measure_lt_top
#align measure_theory.measure.add_haar_eq_zero_of_disjoint_translates_aux MeasureTheory.Measure.addHaar_eq_zero_of_disjoint_translates_aux
theorem addHaar_eq_zero_of_disjoint_translates {E : Type*} [NormedAddCommGroup E]
[NormedSpace ℝ E] [MeasurableSpace E] [BorelSpace E] [FiniteDimensional ℝ E] (μ : Measure E)
[IsAddHaarMeasure μ] {s : Set E} (u : ℕ → E) (hu : IsBounded (range u))
(hs : Pairwise (Disjoint on fun n => {u n} + s)) (h's : MeasurableSet s) : μ s = 0 := by
suffices H : ∀ R, μ (s ∩ closedBall 0 R) = 0 by
apply le_antisymm _ (zero_le _)
calc
μ s ≤ ∑' n : ℕ, μ (s ∩ closedBall 0 n) := by
conv_lhs => rw [← iUnion_inter_closedBall_nat s 0]
exact measure_iUnion_le _
_ = 0 := by simp only [H, tsum_zero]
intro R
apply addHaar_eq_zero_of_disjoint_translates_aux μ u
(isBounded_closedBall.subset inter_subset_right) hu _ (h's.inter measurableSet_closedBall)
refine pairwise_disjoint_mono hs fun n => ?_
exact add_subset_add Subset.rfl inter_subset_left
#align measure_theory.measure.add_haar_eq_zero_of_disjoint_translates MeasureTheory.Measure.addHaar_eq_zero_of_disjoint_translates
theorem addHaar_submodule {E : Type*} [NormedAddCommGroup E] [NormedSpace ℝ E] [MeasurableSpace E]
[BorelSpace E] [FiniteDimensional ℝ E] (μ : Measure E) [IsAddHaarMeasure μ] (s : Submodule ℝ E)
(hs : s ≠ ⊤) : μ s = 0 := by
obtain ⟨x, hx⟩ : ∃ x, x ∉ s := by
simpa only [Submodule.eq_top_iff', not_exists, Ne, not_forall] using hs
obtain ⟨c, cpos, cone⟩ : ∃ c : ℝ, 0 < c ∧ c < 1 := ⟨1 / 2, by norm_num, by norm_num⟩
have A : IsBounded (range fun n : ℕ => c ^ n • x) :=
have : Tendsto (fun n : ℕ => c ^ n • x) atTop (𝓝 ((0 : ℝ) • x)) :=
(tendsto_pow_atTop_nhds_zero_of_lt_one cpos.le cone).smul_const x
isBounded_range_of_tendsto _ this
apply addHaar_eq_zero_of_disjoint_translates μ _ A _
(Submodule.closed_of_finiteDimensional s).measurableSet
intro m n hmn
simp only [Function.onFun, image_add_left, singleton_add, disjoint_left, mem_preimage,
SetLike.mem_coe]
intro y hym hyn
have A : (c ^ n - c ^ m) • x ∈ s := by
convert s.sub_mem hym hyn using 1
simp only [sub_smul, neg_sub_neg, add_sub_add_right_eq_sub]
have H : c ^ n - c ^ m ≠ 0 := by
simpa only [sub_eq_zero, Ne] using (pow_right_strictAnti cpos cone).injective.ne hmn.symm
have : x ∈ s := by
convert s.smul_mem (c ^ n - c ^ m)⁻¹ A
rw [smul_smul, inv_mul_cancel H, one_smul]
exact hx this
#align measure_theory.measure.add_haar_submodule MeasureTheory.Measure.addHaar_submodule
theorem addHaar_affineSubspace {E : Type*} [NormedAddCommGroup E] [NormedSpace ℝ E]
[MeasurableSpace E] [BorelSpace E] [FiniteDimensional ℝ E] (μ : Measure E) [IsAddHaarMeasure μ]
(s : AffineSubspace ℝ E) (hs : s ≠ ⊤) : μ s = 0 := by
rcases s.eq_bot_or_nonempty with (rfl | hne)
· rw [AffineSubspace.bot_coe, measure_empty]
rw [Ne, ← AffineSubspace.direction_eq_top_iff_of_nonempty hne] at hs
rcases hne with ⟨x, hx : x ∈ s⟩
simpa only [AffineSubspace.coe_direction_eq_vsub_set_right hx, vsub_eq_sub, sub_eq_add_neg,
image_add_right, neg_neg, measure_preimage_add_right] using addHaar_submodule μ s.direction hs
#align measure_theory.measure.add_haar_affine_subspace MeasureTheory.Measure.addHaar_affineSubspace
theorem map_linearMap_addHaar_pi_eq_smul_addHaar {ι : Type*} [Finite ι] {f : (ι → ℝ) →ₗ[ℝ] ι → ℝ}
(hf : LinearMap.det f ≠ 0) (μ : Measure (ι → ℝ)) [IsAddHaarMeasure μ] :
Measure.map f μ = ENNReal.ofReal (abs (LinearMap.det f)⁻¹) • μ := by
cases nonempty_fintype ι
have := addHaarMeasure_unique μ (piIcc01 ι)
rw [this, addHaarMeasure_eq_volume_pi, Measure.map_smul,
Real.map_linearMap_volume_pi_eq_smul_volume_pi hf, smul_comm]
#align measure_theory.measure.map_linear_map_add_haar_pi_eq_smul_add_haar MeasureTheory.Measure.map_linearMap_addHaar_pi_eq_smul_addHaar
variable {E : Type*} [NormedAddCommGroup E] [NormedSpace ℝ E] [MeasurableSpace E] [BorelSpace E]
[FiniteDimensional ℝ E] (μ : Measure E) [IsAddHaarMeasure μ] {F : Type*} [NormedAddCommGroup F]
[NormedSpace ℝ F] [CompleteSpace F]
theorem map_linearMap_addHaar_eq_smul_addHaar {f : E →ₗ[ℝ] E} (hf : LinearMap.det f ≠ 0) :
Measure.map f μ = ENNReal.ofReal |(LinearMap.det f)⁻¹| • μ := by
-- we reduce to the case of `E = ι → ℝ`, for which we have already proved the result using
-- matrices in `map_linearMap_addHaar_pi_eq_smul_addHaar`.
let ι := Fin (finrank ℝ E)
haveI : FiniteDimensional ℝ (ι → ℝ) := by infer_instance
have : finrank ℝ E = finrank ℝ (ι → ℝ) := by simp [ι]
have e : E ≃ₗ[ℝ] ι → ℝ := LinearEquiv.ofFinrankEq E (ι → ℝ) this
-- next line is to avoid `g` getting reduced by `simp`.
obtain ⟨g, hg⟩ : ∃ g, g = (e : E →ₗ[ℝ] ι → ℝ).comp (f.comp (e.symm : (ι → ℝ) →ₗ[ℝ] E)) := ⟨_, rfl⟩
have gdet : LinearMap.det g = LinearMap.det f := by rw [hg]; exact LinearMap.det_conj f e
rw [← gdet] at hf ⊢
have fg : f = (e.symm : (ι → ℝ) →ₗ[ℝ] E).comp (g.comp (e : E →ₗ[ℝ] ι → ℝ)) := by
ext x
simp only [LinearEquiv.coe_coe, Function.comp_apply, LinearMap.coe_comp,
LinearEquiv.symm_apply_apply, hg]
simp only [fg, LinearEquiv.coe_coe, LinearMap.coe_comp]
have Ce : Continuous e := (e : E →ₗ[ℝ] ι → ℝ).continuous_of_finiteDimensional
have Cg : Continuous g := LinearMap.continuous_of_finiteDimensional g
have Cesymm : Continuous e.symm := (e.symm : (ι → ℝ) →ₗ[ℝ] E).continuous_of_finiteDimensional
rw [← map_map Cesymm.measurable (Cg.comp Ce).measurable, ← map_map Cg.measurable Ce.measurable]
haveI : IsAddHaarMeasure (map e μ) := (e : E ≃+ (ι → ℝ)).isAddHaarMeasure_map μ Ce Cesymm
have ecomp : e.symm ∘ e = id := by
ext x; simp only [id, Function.comp_apply, LinearEquiv.symm_apply_apply]
rw [map_linearMap_addHaar_pi_eq_smul_addHaar hf (map e μ), Measure.map_smul,
map_map Cesymm.measurable Ce.measurable, ecomp, Measure.map_id]
#align measure_theory.measure.map_linear_map_add_haar_eq_smul_add_haar MeasureTheory.Measure.map_linearMap_addHaar_eq_smul_addHaar
@[simp]
theorem addHaar_preimage_linearMap {f : E →ₗ[ℝ] E} (hf : LinearMap.det f ≠ 0) (s : Set E) :
μ (f ⁻¹' s) = ENNReal.ofReal |(LinearMap.det f)⁻¹| * μ s :=
calc
μ (f ⁻¹' s) = Measure.map f μ s :=
((f.equivOfDetNeZero hf).toContinuousLinearEquiv.toHomeomorph.toMeasurableEquiv.map_apply
s).symm
_ = ENNReal.ofReal |(LinearMap.det f)⁻¹| * μ s := by
rw [map_linearMap_addHaar_eq_smul_addHaar μ hf]; rfl
#align measure_theory.measure.add_haar_preimage_linear_map MeasureTheory.Measure.addHaar_preimage_linearMap
@[simp]
theorem addHaar_preimage_continuousLinearMap {f : E →L[ℝ] E}
(hf : LinearMap.det (f : E →ₗ[ℝ] E) ≠ 0) (s : Set E) :
μ (f ⁻¹' s) = ENNReal.ofReal (abs (LinearMap.det (f : E →ₗ[ℝ] E))⁻¹) * μ s :=
addHaar_preimage_linearMap μ hf s
#align measure_theory.measure.add_haar_preimage_continuous_linear_map MeasureTheory.Measure.addHaar_preimage_continuousLinearMap
@[simp]
theorem addHaar_preimage_linearEquiv (f : E ≃ₗ[ℝ] E) (s : Set E) :
μ (f ⁻¹' s) = ENNReal.ofReal |LinearMap.det (f.symm : E →ₗ[ℝ] E)| * μ s := by
have A : LinearMap.det (f : E →ₗ[ℝ] E) ≠ 0 := (LinearEquiv.isUnit_det' f).ne_zero
convert addHaar_preimage_linearMap μ A s
simp only [LinearEquiv.det_coe_symm]
#align measure_theory.measure.add_haar_preimage_linear_equiv MeasureTheory.Measure.addHaar_preimage_linearEquiv
@[simp]
theorem addHaar_preimage_continuousLinearEquiv (f : E ≃L[ℝ] E) (s : Set E) :
μ (f ⁻¹' s) = ENNReal.ofReal |LinearMap.det (f.symm : E →ₗ[ℝ] E)| * μ s :=
addHaar_preimage_linearEquiv μ _ s
#align measure_theory.measure.add_haar_preimage_continuous_linear_equiv MeasureTheory.Measure.addHaar_preimage_continuousLinearEquiv
@[simp]
theorem addHaar_image_linearMap (f : E →ₗ[ℝ] E) (s : Set E) :
μ (f '' s) = ENNReal.ofReal |LinearMap.det f| * μ s := by
rcases ne_or_eq (LinearMap.det f) 0 with (hf | hf)
· let g := (f.equivOfDetNeZero hf).toContinuousLinearEquiv
change μ (g '' s) = _
rw [ContinuousLinearEquiv.image_eq_preimage g s, addHaar_preimage_continuousLinearEquiv]
congr
· simp only [hf, zero_mul, ENNReal.ofReal_zero, abs_zero]
have : μ (LinearMap.range f) = 0 :=
addHaar_submodule μ _ (LinearMap.range_lt_top_of_det_eq_zero hf).ne
exact le_antisymm (le_trans (measure_mono (image_subset_range _ _)) this.le) (zero_le _)
#align measure_theory.measure.add_haar_image_linear_map MeasureTheory.Measure.addHaar_image_linearMap
@[simp]
theorem addHaar_image_continuousLinearMap (f : E →L[ℝ] E) (s : Set E) :
μ (f '' s) = ENNReal.ofReal |LinearMap.det (f : E →ₗ[ℝ] E)| * μ s :=
addHaar_image_linearMap μ _ s
#align measure_theory.measure.add_haar_image_continuous_linear_map MeasureTheory.Measure.addHaar_image_continuousLinearMap
@[simp]
theorem addHaar_image_continuousLinearEquiv (f : E ≃L[ℝ] E) (s : Set E) :
μ (f '' s) = ENNReal.ofReal |LinearMap.det (f : E →ₗ[ℝ] E)| * μ s :=
μ.addHaar_image_linearMap (f : E →ₗ[ℝ] E) s
#align measure_theory.measure.add_haar_image_continuous_linear_equiv MeasureTheory.Measure.addHaar_image_continuousLinearEquiv
theorem LinearMap.quasiMeasurePreserving (f : E →ₗ[ℝ] E) (hf : LinearMap.det f ≠ 0) :
QuasiMeasurePreserving f μ μ := by
refine ⟨f.continuous_of_finiteDimensional.measurable, ?_⟩
rw [map_linearMap_addHaar_eq_smul_addHaar μ hf]
exact smul_absolutelyContinuous
theorem ContinuousLinearMap.quasiMeasurePreserving (f : E →L[ℝ] E) (hf : f.det ≠ 0) :
QuasiMeasurePreserving f μ μ :=
LinearMap.quasiMeasurePreserving μ (f : E →ₗ[ℝ] E) hf
theorem map_addHaar_smul {r : ℝ} (hr : r ≠ 0) :
Measure.map (r • ·) μ = ENNReal.ofReal (abs (r ^ finrank ℝ E)⁻¹) • μ := by
let f : E →ₗ[ℝ] E := r • (1 : E →ₗ[ℝ] E)
change Measure.map f μ = _
have hf : LinearMap.det f ≠ 0 := by
simp only [f, mul_one, LinearMap.det_smul, Ne, MonoidHom.map_one]
intro h
exact hr (pow_eq_zero h)
simp only [f, map_linearMap_addHaar_eq_smul_addHaar μ hf, mul_one, LinearMap.det_smul, map_one]
#align measure_theory.measure.map_add_haar_smul MeasureTheory.Measure.map_addHaar_smul
theorem quasiMeasurePreserving_smul {r : ℝ} (hr : r ≠ 0) :
QuasiMeasurePreserving (r • ·) μ μ := by
refine ⟨measurable_const_smul r, ?_⟩
rw [map_addHaar_smul μ hr]
exact smul_absolutelyContinuous
@[simp]
theorem addHaar_preimage_smul {r : ℝ} (hr : r ≠ 0) (s : Set E) :
μ ((r • ·) ⁻¹' s) = ENNReal.ofReal (abs (r ^ finrank ℝ E)⁻¹) * μ s :=
calc
μ ((r • ·) ⁻¹' s) = Measure.map (r • ·) μ s :=
((Homeomorph.smul (isUnit_iff_ne_zero.2 hr).unit).toMeasurableEquiv.map_apply s).symm
_ = ENNReal.ofReal (abs (r ^ finrank ℝ E)⁻¹) * μ s := by
rw [map_addHaar_smul μ hr, coe_smul, Pi.smul_apply, smul_eq_mul]
#align measure_theory.measure.add_haar_preimage_smul MeasureTheory.Measure.addHaar_preimage_smul
@[simp]
theorem addHaar_smul (r : ℝ) (s : Set E) :
μ (r • s) = ENNReal.ofReal (abs (r ^ finrank ℝ E)) * μ s := by
rcases ne_or_eq r 0 with (h | rfl)
· rw [← preimage_smul_inv₀ h, addHaar_preimage_smul μ (inv_ne_zero h), inv_pow, inv_inv]
rcases eq_empty_or_nonempty s with (rfl | hs)
· simp only [measure_empty, mul_zero, smul_set_empty]
rw [zero_smul_set hs, ← singleton_zero]
by_cases h : finrank ℝ E = 0
· haveI : Subsingleton E := finrank_zero_iff.1 h
simp only [h, one_mul, ENNReal.ofReal_one, abs_one, Subsingleton.eq_univ_of_nonempty hs,
pow_zero, Subsingleton.eq_univ_of_nonempty (singleton_nonempty (0 : E))]
· haveI : Nontrivial E := nontrivial_of_finrank_pos (bot_lt_iff_ne_bot.2 h)
simp only [h, zero_mul, ENNReal.ofReal_zero, abs_zero, Ne, not_false_iff,
zero_pow, measure_singleton]
#align measure_theory.measure.add_haar_smul MeasureTheory.Measure.addHaar_smul
theorem addHaar_smul_of_nonneg {r : ℝ} (hr : 0 ≤ r) (s : Set E) :
μ (r • s) = ENNReal.ofReal (r ^ finrank ℝ E) * μ s := by
rw [addHaar_smul, abs_pow, abs_of_nonneg hr]
#align measure_theory.measure.add_haar_smul_of_nonneg MeasureTheory.Measure.addHaar_smul_of_nonneg
variable {μ} {s : Set E}
-- Note: We might want to rename this once we acquire the lemma corresponding to
-- `MeasurableSet.const_smul`
theorem NullMeasurableSet.const_smul (hs : NullMeasurableSet s μ) (r : ℝ) :
NullMeasurableSet (r • s) μ := by
obtain rfl | hs' := s.eq_empty_or_nonempty
· simp
obtain rfl | hr := eq_or_ne r 0
· simpa [zero_smul_set hs'] using nullMeasurableSet_singleton _
obtain ⟨t, ht, hst⟩ := hs
refine ⟨_, ht.const_smul_of_ne_zero hr, ?_⟩
rw [← measure_symmDiff_eq_zero_iff] at hst ⊢
rw [← smul_set_symmDiff₀ hr, addHaar_smul μ, hst, mul_zero]
#align measure_theory.measure.null_measurable_set.const_smul MeasureTheory.Measure.NullMeasurableSet.const_smul
variable (μ)
@[simp]
theorem addHaar_image_homothety (x : E) (r : ℝ) (s : Set E) :
μ (AffineMap.homothety x r '' s) = ENNReal.ofReal (abs (r ^ finrank ℝ E)) * μ s :=
calc
μ (AffineMap.homothety x r '' s) = μ ((fun y => y + x) '' (r • (fun y => y + -x) '' s)) := by
simp only [← image_smul, image_image, ← sub_eq_add_neg]; rfl
_ = ENNReal.ofReal (abs (r ^ finrank ℝ E)) * μ s := by
simp only [image_add_right, measure_preimage_add_right, addHaar_smul]
#align measure_theory.measure.add_haar_image_homothety MeasureTheory.Measure.addHaar_image_homothety
theorem addHaar_ball_center {E : Type*} [NormedAddCommGroup E] [MeasurableSpace E] [BorelSpace E]
(μ : Measure E) [IsAddHaarMeasure μ] (x : E) (r : ℝ) : μ (ball x r) = μ (ball (0 : E) r) := by
have : ball (0 : E) r = (x + ·) ⁻¹' ball x r := by simp [preimage_add_ball]
rw [this, measure_preimage_add]
#align measure_theory.measure.add_haar_ball_center MeasureTheory.Measure.addHaar_ball_center
theorem addHaar_closedBall_center {E : Type*} [NormedAddCommGroup E] [MeasurableSpace E]
[BorelSpace E] (μ : Measure E) [IsAddHaarMeasure μ] (x : E) (r : ℝ) :
μ (closedBall x r) = μ (closedBall (0 : E) r) := by
have : closedBall (0 : E) r = (x + ·) ⁻¹' closedBall x r := by simp [preimage_add_closedBall]
rw [this, measure_preimage_add]
#align measure_theory.measure.add_haar_closed_ball_center MeasureTheory.Measure.addHaar_closedBall_center
theorem addHaar_ball_mul_of_pos (x : E) {r : ℝ} (hr : 0 < r) (s : ℝ) :
μ (ball x (r * s)) = ENNReal.ofReal (r ^ finrank ℝ E) * μ (ball 0 s) := by
have : ball (0 : E) (r * s) = r • ball (0 : E) s := by
simp only [_root_.smul_ball hr.ne' (0 : E) s, Real.norm_eq_abs, abs_of_nonneg hr.le, smul_zero]
simp only [this, addHaar_smul, abs_of_nonneg hr.le, addHaar_ball_center, abs_pow]
#align measure_theory.measure.add_haar_ball_mul_of_pos MeasureTheory.Measure.addHaar_ball_mul_of_pos
theorem addHaar_ball_of_pos (x : E) {r : ℝ} (hr : 0 < r) :
μ (ball x r) = ENNReal.ofReal (r ^ finrank ℝ E) * μ (ball 0 1) := by
rw [← addHaar_ball_mul_of_pos μ x hr, mul_one]
#align measure_theory.measure.add_haar_ball_of_pos MeasureTheory.Measure.addHaar_ball_of_pos
theorem addHaar_ball_mul [Nontrivial E] (x : E) {r : ℝ} (hr : 0 ≤ r) (s : ℝ) :
μ (ball x (r * s)) = ENNReal.ofReal (r ^ finrank ℝ E) * μ (ball 0 s) := by
rcases hr.eq_or_lt with (rfl | h)
· simp only [zero_pow (finrank_pos (R := ℝ) (M := E)).ne', measure_empty, zero_mul,
ENNReal.ofReal_zero, ball_zero]
· exact addHaar_ball_mul_of_pos μ x h s
#align measure_theory.measure.add_haar_ball_mul MeasureTheory.Measure.addHaar_ball_mul
theorem addHaar_ball [Nontrivial E] (x : E) {r : ℝ} (hr : 0 ≤ r) :
μ (ball x r) = ENNReal.ofReal (r ^ finrank ℝ E) * μ (ball 0 1) := by
rw [← addHaar_ball_mul μ x hr, mul_one]
#align measure_theory.measure.add_haar_ball MeasureTheory.Measure.addHaar_ball
theorem addHaar_closedBall_mul_of_pos (x : E) {r : ℝ} (hr : 0 < r) (s : ℝ) :
μ (closedBall x (r * s)) = ENNReal.ofReal (r ^ finrank ℝ E) * μ (closedBall 0 s) := by
have : closedBall (0 : E) (r * s) = r • closedBall (0 : E) s := by
simp [smul_closedBall' hr.ne' (0 : E), abs_of_nonneg hr.le]
simp only [this, addHaar_smul, abs_of_nonneg hr.le, addHaar_closedBall_center, abs_pow]
#align measure_theory.measure.add_haar_closed_ball_mul_of_pos MeasureTheory.Measure.addHaar_closedBall_mul_of_pos
theorem addHaar_closedBall_mul (x : E) {r : ℝ} (hr : 0 ≤ r) {s : ℝ} (hs : 0 ≤ s) :
μ (closedBall x (r * s)) = ENNReal.ofReal (r ^ finrank ℝ E) * μ (closedBall 0 s) := by
have : closedBall (0 : E) (r * s) = r • closedBall (0 : E) s := by
simp [smul_closedBall r (0 : E) hs, abs_of_nonneg hr]
simp only [this, addHaar_smul, abs_of_nonneg hr, addHaar_closedBall_center, abs_pow]
#align measure_theory.measure.add_haar_closed_ball_mul MeasureTheory.Measure.addHaar_closedBall_mul
theorem addHaar_closedBall' (x : E) {r : ℝ} (hr : 0 ≤ r) :
μ (closedBall x r) = ENNReal.ofReal (r ^ finrank ℝ E) * μ (closedBall 0 1) := by
rw [← addHaar_closedBall_mul μ x hr zero_le_one, mul_one]
#align measure_theory.measure.add_haar_closed_ball' MeasureTheory.Measure.addHaar_closedBall'
theorem addHaar_closed_unit_ball_eq_addHaar_unit_ball :
μ (closedBall (0 : E) 1) = μ (ball 0 1) := by
apply le_antisymm _ (measure_mono ball_subset_closedBall)
have A : Tendsto
(fun r : ℝ => ENNReal.ofReal (r ^ finrank ℝ E) * μ (closedBall (0 : E) 1)) (𝓝[<] 1)
(𝓝 (ENNReal.ofReal ((1 : ℝ) ^ finrank ℝ E) * μ (closedBall (0 : E) 1))) := by
refine ENNReal.Tendsto.mul ?_ (by simp) tendsto_const_nhds (by simp)
exact ENNReal.tendsto_ofReal ((tendsto_id'.2 nhdsWithin_le_nhds).pow _)
simp only [one_pow, one_mul, ENNReal.ofReal_one] at A
refine le_of_tendsto A ?_
refine mem_nhdsWithin_Iio_iff_exists_Ioo_subset.2 ⟨(0 : ℝ), by simp, fun r hr => ?_⟩
dsimp
rw [← addHaar_closedBall' μ (0 : E) hr.1.le]
exact measure_mono (closedBall_subset_ball hr.2)
#align measure_theory.measure.add_haar_closed_unit_ball_eq_add_haar_unit_ball MeasureTheory.Measure.addHaar_closed_unit_ball_eq_addHaar_unit_ball
theorem addHaar_closedBall (x : E) {r : ℝ} (hr : 0 ≤ r) :
μ (closedBall x r) = ENNReal.ofReal (r ^ finrank ℝ E) * μ (ball 0 1) := by
rw [addHaar_closedBall' μ x hr, addHaar_closed_unit_ball_eq_addHaar_unit_ball]
#align measure_theory.measure.add_haar_closed_ball MeasureTheory.Measure.addHaar_closedBall
theorem addHaar_closedBall_eq_addHaar_ball [Nontrivial E] (x : E) (r : ℝ) :
μ (closedBall x r) = μ (ball x r) := by
by_cases h : r < 0
· rw [Metric.closedBall_eq_empty.mpr h, Metric.ball_eq_empty.mpr h.le]
push_neg at h
rw [addHaar_closedBall μ x h, addHaar_ball μ x h]
#align measure_theory.measure.add_haar_closed_ball_eq_add_haar_ball MeasureTheory.Measure.addHaar_closedBall_eq_addHaar_ball
theorem addHaar_sphere_of_ne_zero (x : E) {r : ℝ} (hr : r ≠ 0) : μ (sphere x r) = 0 := by
rcases hr.lt_or_lt with (h | h)
· simp only [empty_diff, measure_empty, ← closedBall_diff_ball, closedBall_eq_empty.2 h]
· rw [← closedBall_diff_ball,
measure_diff ball_subset_closedBall measurableSet_ball measure_ball_lt_top.ne,
addHaar_ball_of_pos μ _ h, addHaar_closedBall μ _ h.le, tsub_self]
#align measure_theory.measure.add_haar_sphere_of_ne_zero MeasureTheory.Measure.addHaar_sphere_of_ne_zero
theorem addHaar_sphere [Nontrivial E] (x : E) (r : ℝ) : μ (sphere x r) = 0 := by
rcases eq_or_ne r 0 with (rfl | h)
· rw [sphere_zero, measure_singleton]
· exact addHaar_sphere_of_ne_zero μ x h
#align measure_theory.measure.add_haar_sphere MeasureTheory.Measure.addHaar_sphere
theorem addHaar_singleton_add_smul_div_singleton_add_smul {r : ℝ} (hr : r ≠ 0) (x y : E)
(s t : Set E) : μ ({x} + r • s) / μ ({y} + r • t) = μ s / μ t :=
calc
μ ({x} + r • s) / μ ({y} + r • t) = ENNReal.ofReal (|r| ^ finrank ℝ E) * μ s *
(ENNReal.ofReal (|r| ^ finrank ℝ E) * μ t)⁻¹ := by
simp only [div_eq_mul_inv, addHaar_smul, image_add_left, measure_preimage_add, abs_pow,
singleton_add]
_ = ENNReal.ofReal (|r| ^ finrank ℝ E) * (ENNReal.ofReal (|r| ^ finrank ℝ E))⁻¹ *
(μ s * (μ t)⁻¹) := by
rw [ENNReal.mul_inv]
· ring
· simp only [pow_pos (abs_pos.mpr hr), ENNReal.ofReal_eq_zero, not_le, Ne, true_or_iff]
· simp only [ENNReal.ofReal_ne_top, true_or_iff, Ne, not_false_iff]
_ = μ s / μ t := by
rw [ENNReal.mul_inv_cancel, one_mul, div_eq_mul_inv]
· simp only [pow_pos (abs_pos.mpr hr), ENNReal.ofReal_eq_zero, not_le, Ne]
· simp only [ENNReal.ofReal_ne_top, Ne, not_false_iff]
#align measure_theory.measure.add_haar_singleton_add_smul_div_singleton_add_smul MeasureTheory.Measure.addHaar_singleton_add_smul_div_singleton_add_smul
instance (priority := 100) isUnifLocDoublingMeasureOfIsAddHaarMeasure :
IsUnifLocDoublingMeasure μ := by
refine ⟨⟨(2 : ℝ≥0) ^ finrank ℝ E, ?_⟩⟩
filter_upwards [self_mem_nhdsWithin] with r hr x
rw [addHaar_closedBall_mul μ x zero_le_two (le_of_lt hr), addHaar_closedBall_center μ x,
ENNReal.ofReal, Real.toNNReal_pow zero_le_two]
simp only [Real.toNNReal_ofNat, le_refl]
#align measure_theory.measure.is_unif_loc_doubling_measure_of_is_add_haar_measure MeasureTheory.Measure.isUnifLocDoublingMeasureOfIsAddHaarMeasure
section
variable {ι G : Type*} [Fintype ι] [DecidableEq ι] [NormedAddCommGroup G] [NormedSpace ℝ G]
[MeasurableSpace G] [BorelSpace G]
theorem addHaar_parallelepiped (b : Basis ι ℝ G) (v : ι → G) :
b.addHaar (parallelepiped v) = ENNReal.ofReal |b.det v| := by
have : FiniteDimensional ℝ G := FiniteDimensional.of_fintype_basis b
have A : parallelepiped v = b.constr ℕ v '' parallelepiped b := by
rw [image_parallelepiped]
-- Porting note: was `congr 1 with i` but Lean 4 `congr` applies `ext` first
refine congr_arg _ <| funext fun i ↦ ?_
exact (b.constr_basis ℕ v i).symm
rw [A, addHaar_image_linearMap, b.addHaar_self, mul_one, ← LinearMap.det_toMatrix b,
← Basis.toMatrix_eq_toMatrix_constr, Basis.det_apply]
#align measure_theory.measure.add_haar_parallelepiped MeasureTheory.Measure.addHaar_parallelepiped
variable [FiniteDimensional ℝ G] {n : ℕ} [_i : Fact (finrank ℝ G = n)]
noncomputable irreducible_def _root_.AlternatingMap.measure (ω : G [⋀^Fin n]→ₗ[ℝ] ℝ) :
Measure G :=
‖ω (finBasisOfFinrankEq ℝ G _i.out)‖₊ • (finBasisOfFinrankEq ℝ G _i.out).addHaar
#align alternating_map.measure AlternatingMap.measure
theorem _root_.AlternatingMap.measure_parallelepiped (ω : G [⋀^Fin n]→ₗ[ℝ] ℝ)
(v : Fin n → G) : ω.measure (parallelepiped v) = ENNReal.ofReal |ω v| := by
conv_rhs => rw [ω.eq_smul_basis_det (finBasisOfFinrankEq ℝ G _i.out)]
simp only [addHaar_parallelepiped, AlternatingMap.measure, coe_nnreal_smul_apply,
AlternatingMap.smul_apply, Algebra.id.smul_eq_mul, abs_mul, ENNReal.ofReal_mul (abs_nonneg _),
Real.ennnorm_eq_ofReal_abs]
#align alternating_map.measure_parallelepiped AlternatingMap.measure_parallelepiped
instance (ω : G [⋀^Fin n]→ₗ[ℝ] ℝ) : IsAddLeftInvariant ω.measure := by
rw [AlternatingMap.measure]; infer_instance
instance (ω : G [⋀^Fin n]→ₗ[ℝ] ℝ) : IsLocallyFiniteMeasure ω.measure := by
rw [AlternatingMap.measure]; infer_instance
end
| Mathlib/MeasureTheory/Measure/Lebesgue/EqHaar.lean | 643 | 688 | theorem tendsto_addHaar_inter_smul_zero_of_density_zero_aux1 (s : Set E) (x : E)
(h : Tendsto (fun r => μ (s ∩ closedBall x r) / μ (closedBall x r)) (𝓝[>] 0) (𝓝 0)) (t : Set E)
(u : Set E) (h'u : μ u ≠ 0) (t_bound : t ⊆ closedBall 0 1) :
Tendsto (fun r : ℝ => μ (s ∩ ({x} + r • t)) / μ ({x} + r • u)) (𝓝[>] 0) (𝓝 0) := by |
have A : Tendsto (fun r : ℝ => μ (s ∩ ({x} + r • t)) / μ (closedBall x r)) (𝓝[>] 0) (𝓝 0) := by
apply
tendsto_of_tendsto_of_tendsto_of_le_of_le' tendsto_const_nhds h
(eventually_of_forall fun b => zero_le _)
filter_upwards [self_mem_nhdsWithin]
rintro r (rpos : 0 < r)
rw [← affinity_unitClosedBall rpos.le, singleton_add, ← image_vadd]
gcongr
exact smul_set_mono t_bound
have B :
Tendsto (fun r : ℝ => μ (closedBall x r) / μ ({x} + r • u)) (𝓝[>] 0)
(𝓝 (μ (closedBall x 1) / μ ({x} + u))) := by
apply tendsto_const_nhds.congr' _
filter_upwards [self_mem_nhdsWithin]
rintro r (rpos : 0 < r)
have : closedBall x r = {x} + r • closedBall (0 : E) 1 := by
simp only [_root_.smul_closedBall, Real.norm_of_nonneg rpos.le, zero_le_one, add_zero,
mul_one, singleton_add_closedBall, smul_zero]
simp only [this, addHaar_singleton_add_smul_div_singleton_add_smul μ rpos.ne']
simp only [addHaar_closedBall_center, image_add_left, measure_preimage_add, singleton_add]
have C : Tendsto (fun r : ℝ =>
μ (s ∩ ({x} + r • t)) / μ (closedBall x r) * (μ (closedBall x r) / μ ({x} + r • u)))
(𝓝[>] 0) (𝓝 (0 * (μ (closedBall x 1) / μ ({x} + u)))) := by
apply ENNReal.Tendsto.mul A _ B (Or.inr ENNReal.zero_ne_top)
simp only [ne_eq, not_true, singleton_add, image_add_left, measure_preimage_add, false_or,
ENNReal.div_eq_top, h'u, false_or_iff, not_and, and_false_iff]
intro aux
exact (measure_closedBall_lt_top.ne aux).elim
-- Porting note: it used to be enough to pass `measure_closedBall_lt_top.ne` to `simp`
-- and avoid the `intro; exact` dance.
simp only [zero_mul] at C
apply C.congr' _
filter_upwards [self_mem_nhdsWithin]
rintro r (rpos : 0 < r)
calc
μ (s ∩ ({x} + r • t)) / μ (closedBall x r) * (μ (closedBall x r) / μ ({x} + r • u)) =
μ (closedBall x r) * (μ (closedBall x r))⁻¹ * (μ (s ∩ ({x} + r • t)) / μ ({x} + r • u)) :=
by simp only [div_eq_mul_inv]; ring
_ = μ (s ∩ ({x} + r • t)) / μ ({x} + r • u) := by
rw [ENNReal.mul_inv_cancel (measure_closedBall_pos μ x rpos).ne'
measure_closedBall_lt_top.ne,
one_mul]
|
import Mathlib.Order.ConditionallyCompleteLattice.Basic
import Mathlib.Order.LatticeIntervals
import Mathlib.Order.Interval.Set.OrdConnected
#align_import order.complete_lattice_intervals from "leanprover-community/mathlib"@"207cfac9fcd06138865b5d04f7091e46d9320432"
open scoped Classical
open Set
variable {ι : Sort*} {α : Type*} (s : Set α)
namespace Set.Iic
variable [CompleteLattice α] {a : α}
instance instCompleteLattice : CompleteLattice (Iic a) where
sSup S := ⟨sSup ((↑) '' S), by simpa using fun b hb _ ↦ hb⟩
sInf S := ⟨a ⊓ sInf ((↑) '' S), by simp⟩
le_sSup S b hb := le_sSup <| mem_image_of_mem Subtype.val hb
sSup_le S b hb := sSup_le <| fun c' ⟨c, hc, hc'⟩ ↦ hc' ▸ hb c hc
sInf_le S b hb := inf_le_of_right_le <| sInf_le <| mem_image_of_mem Subtype.val hb
le_sInf S b hb := le_inf_iff.mpr ⟨b.property, le_sInf fun d' ⟨d, hd, hd'⟩ ↦ hd' ▸ hb d hd⟩
le_top := by simp
bot_le := by simp
variable (S : Set <| Iic a) (f : ι → Iic a) (p : ι → Prop)
@[simp] theorem coe_sSup : (↑(sSup S) : α) = sSup ((↑) '' S) := rfl
@[simp] theorem coe_iSup : (↑(⨆ i, f i) : α) = ⨆ i, (f i : α) := by
rw [iSup, coe_sSup]; congr; ext; simp
theorem coe_biSup : (↑(⨆ i, ⨆ (_ : p i), f i) : α) = ⨆ i, ⨆ (_ : p i), (f i : α) := by simp
@[simp] theorem coe_sInf : (↑(sInf S) : α) = a ⊓ sInf ((↑) '' S) := rfl
@[simp] theorem coe_iInf : (↑(⨅ i, f i) : α) = a ⊓ ⨅ i, (f i : α) := by
rw [iInf, coe_sInf]; congr; ext; simp
| Mathlib/Order/CompleteLatticeIntervals.lean | 272 | 275 | theorem coe_biInf : (↑(⨅ i, ⨅ (_ : p i), f i) : α) = a ⊓ ⨅ i, ⨅ (_ : p i), (f i : α) := by |
cases isEmpty_or_nonempty ι
· simp
· simp_rw [coe_iInf, ← inf_iInf, ← inf_assoc, inf_idem]
|
import Mathlib.Algebra.Order.BigOperators.Group.Finset
import Mathlib.Data.Nat.Factors
import Mathlib.Order.Interval.Finset.Nat
#align_import number_theory.divisors from "leanprover-community/mathlib"@"e8638a0fcaf73e4500469f368ef9494e495099b3"
open scoped Classical
open Finset
namespace Nat
variable (n : ℕ)
def divisors : Finset ℕ :=
Finset.filter (fun x : ℕ => x ∣ n) (Finset.Ico 1 (n + 1))
#align nat.divisors Nat.divisors
def properDivisors : Finset ℕ :=
Finset.filter (fun x : ℕ => x ∣ n) (Finset.Ico 1 n)
#align nat.proper_divisors Nat.properDivisors
def divisorsAntidiagonal : Finset (ℕ × ℕ) :=
Finset.filter (fun x => x.fst * x.snd = n) (Ico 1 (n + 1) ×ˢ Ico 1 (n + 1))
#align nat.divisors_antidiagonal Nat.divisorsAntidiagonal
variable {n}
@[simp]
theorem filter_dvd_eq_divisors (h : n ≠ 0) : (Finset.range n.succ).filter (· ∣ n) = n.divisors := by
ext
simp only [divisors, mem_filter, mem_range, mem_Ico, and_congr_left_iff, iff_and_self]
exact fun ha _ => succ_le_iff.mpr (pos_of_dvd_of_pos ha h.bot_lt)
#align nat.filter_dvd_eq_divisors Nat.filter_dvd_eq_divisors
@[simp]
theorem filter_dvd_eq_properDivisors (h : n ≠ 0) :
(Finset.range n).filter (· ∣ n) = n.properDivisors := by
ext
simp only [properDivisors, mem_filter, mem_range, mem_Ico, and_congr_left_iff, iff_and_self]
exact fun ha _ => succ_le_iff.mpr (pos_of_dvd_of_pos ha h.bot_lt)
#align nat.filter_dvd_eq_proper_divisors Nat.filter_dvd_eq_properDivisors
theorem properDivisors.not_self_mem : ¬n ∈ properDivisors n := by simp [properDivisors]
#align nat.proper_divisors.not_self_mem Nat.properDivisors.not_self_mem
@[simp]
theorem mem_properDivisors {m : ℕ} : n ∈ properDivisors m ↔ n ∣ m ∧ n < m := by
rcases eq_or_ne m 0 with (rfl | hm); · simp [properDivisors]
simp only [and_comm, ← filter_dvd_eq_properDivisors hm, mem_filter, mem_range]
#align nat.mem_proper_divisors Nat.mem_properDivisors
theorem insert_self_properDivisors (h : n ≠ 0) : insert n (properDivisors n) = divisors n := by
rw [divisors, properDivisors, Ico_succ_right_eq_insert_Ico (one_le_iff_ne_zero.2 h),
Finset.filter_insert, if_pos (dvd_refl n)]
#align nat.insert_self_proper_divisors Nat.insert_self_properDivisors
theorem cons_self_properDivisors (h : n ≠ 0) :
cons n (properDivisors n) properDivisors.not_self_mem = divisors n := by
rw [cons_eq_insert, insert_self_properDivisors h]
#align nat.cons_self_proper_divisors Nat.cons_self_properDivisors
@[simp]
theorem mem_divisors {m : ℕ} : n ∈ divisors m ↔ n ∣ m ∧ m ≠ 0 := by
rcases eq_or_ne m 0 with (rfl | hm); · simp [divisors]
simp only [hm, Ne, not_false_iff, and_true_iff, ← filter_dvd_eq_divisors hm, mem_filter,
mem_range, and_iff_right_iff_imp, Nat.lt_succ_iff]
exact le_of_dvd hm.bot_lt
#align nat.mem_divisors Nat.mem_divisors
theorem one_mem_divisors : 1 ∈ divisors n ↔ n ≠ 0 := by simp
#align nat.one_mem_divisors Nat.one_mem_divisors
theorem mem_divisors_self (n : ℕ) (h : n ≠ 0) : n ∈ n.divisors :=
mem_divisors.2 ⟨dvd_rfl, h⟩
#align nat.mem_divisors_self Nat.mem_divisors_self
theorem dvd_of_mem_divisors {m : ℕ} (h : n ∈ divisors m) : n ∣ m := by
cases m
· apply dvd_zero
· simp [mem_divisors.1 h]
#align nat.dvd_of_mem_divisors Nat.dvd_of_mem_divisors
@[simp]
theorem mem_divisorsAntidiagonal {x : ℕ × ℕ} :
x ∈ divisorsAntidiagonal n ↔ x.fst * x.snd = n ∧ n ≠ 0 := by
simp only [divisorsAntidiagonal, Finset.mem_Ico, Ne, Finset.mem_filter, Finset.mem_product]
rw [and_comm]
apply and_congr_right
rintro rfl
constructor <;> intro h
· contrapose! h
simp [h]
· rw [Nat.lt_add_one_iff, Nat.lt_add_one_iff]
rw [mul_eq_zero, not_or] at h
simp only [succ_le_of_lt (Nat.pos_of_ne_zero h.1), succ_le_of_lt (Nat.pos_of_ne_zero h.2),
true_and_iff]
exact
⟨Nat.le_mul_of_pos_right _ (Nat.pos_of_ne_zero h.2),
Nat.le_mul_of_pos_left _ (Nat.pos_of_ne_zero h.1)⟩
#align nat.mem_divisors_antidiagonal Nat.mem_divisorsAntidiagonal
lemma ne_zero_of_mem_divisorsAntidiagonal {p : ℕ × ℕ} (hp : p ∈ n.divisorsAntidiagonal) :
p.1 ≠ 0 ∧ p.2 ≠ 0 := by
obtain ⟨hp₁, hp₂⟩ := Nat.mem_divisorsAntidiagonal.mp hp
exact mul_ne_zero_iff.mp (hp₁.symm ▸ hp₂)
lemma left_ne_zero_of_mem_divisorsAntidiagonal {p : ℕ × ℕ} (hp : p ∈ n.divisorsAntidiagonal) :
p.1 ≠ 0 :=
(ne_zero_of_mem_divisorsAntidiagonal hp).1
lemma right_ne_zero_of_mem_divisorsAntidiagonal {p : ℕ × ℕ} (hp : p ∈ n.divisorsAntidiagonal) :
p.2 ≠ 0 :=
(ne_zero_of_mem_divisorsAntidiagonal hp).2
theorem divisor_le {m : ℕ} : n ∈ divisors m → n ≤ m := by
cases' m with m
· simp
· simp only [mem_divisors, Nat.succ_ne_zero m, and_true_iff, Ne, not_false_iff]
exact Nat.le_of_dvd (Nat.succ_pos m)
#align nat.divisor_le Nat.divisor_le
theorem divisors_subset_of_dvd {m : ℕ} (hzero : n ≠ 0) (h : m ∣ n) : divisors m ⊆ divisors n :=
Finset.subset_iff.2 fun _x hx => Nat.mem_divisors.mpr ⟨(Nat.mem_divisors.mp hx).1.trans h, hzero⟩
#align nat.divisors_subset_of_dvd Nat.divisors_subset_of_dvd
theorem divisors_subset_properDivisors {m : ℕ} (hzero : n ≠ 0) (h : m ∣ n) (hdiff : m ≠ n) :
divisors m ⊆ properDivisors n := by
apply Finset.subset_iff.2
intro x hx
exact
Nat.mem_properDivisors.2
⟨(Nat.mem_divisors.1 hx).1.trans h,
lt_of_le_of_lt (divisor_le hx)
(lt_of_le_of_ne (divisor_le (Nat.mem_divisors.2 ⟨h, hzero⟩)) hdiff)⟩
#align nat.divisors_subset_proper_divisors Nat.divisors_subset_properDivisors
lemma divisors_filter_dvd_of_dvd {n m : ℕ} (hn : n ≠ 0) (hm : m ∣ n) :
(n.divisors.filter (· ∣ m)) = m.divisors := by
ext k
simp_rw [mem_filter, mem_divisors]
exact ⟨fun ⟨_, hkm⟩ ↦ ⟨hkm, ne_zero_of_dvd_ne_zero hn hm⟩, fun ⟨hk, _⟩ ↦ ⟨⟨hk.trans hm, hn⟩, hk⟩⟩
@[simp]
theorem divisors_zero : divisors 0 = ∅ := by
ext
simp
#align nat.divisors_zero Nat.divisors_zero
@[simp]
theorem properDivisors_zero : properDivisors 0 = ∅ := by
ext
simp
#align nat.proper_divisors_zero Nat.properDivisors_zero
@[simp]
lemma nonempty_divisors : (divisors n).Nonempty ↔ n ≠ 0 :=
⟨fun ⟨m, hm⟩ hn ↦ by simp [hn] at hm, fun hn ↦ ⟨1, one_mem_divisors.2 hn⟩⟩
@[simp]
lemma divisors_eq_empty : divisors n = ∅ ↔ n = 0 :=
not_nonempty_iff_eq_empty.symm.trans nonempty_divisors.not_left
theorem properDivisors_subset_divisors : properDivisors n ⊆ divisors n :=
filter_subset_filter _ <| Ico_subset_Ico_right n.le_succ
#align nat.proper_divisors_subset_divisors Nat.properDivisors_subset_divisors
@[simp]
theorem divisors_one : divisors 1 = {1} := by
ext
simp
#align nat.divisors_one Nat.divisors_one
@[simp]
theorem properDivisors_one : properDivisors 1 = ∅ := by rw [properDivisors, Ico_self, filter_empty]
#align nat.proper_divisors_one Nat.properDivisors_one
theorem pos_of_mem_divisors {m : ℕ} (h : m ∈ n.divisors) : 0 < m := by
cases m
· rw [mem_divisors, zero_dvd_iff (a := n)] at h
cases h.2 h.1
apply Nat.succ_pos
#align nat.pos_of_mem_divisors Nat.pos_of_mem_divisors
theorem pos_of_mem_properDivisors {m : ℕ} (h : m ∈ n.properDivisors) : 0 < m :=
pos_of_mem_divisors (properDivisors_subset_divisors h)
#align nat.pos_of_mem_proper_divisors Nat.pos_of_mem_properDivisors
theorem one_mem_properDivisors_iff_one_lt : 1 ∈ n.properDivisors ↔ 1 < n := by
rw [mem_properDivisors, and_iff_right (one_dvd _)]
#align nat.one_mem_proper_divisors_iff_one_lt Nat.one_mem_properDivisors_iff_one_lt
@[simp]
lemma sup_divisors_id (n : ℕ) : n.divisors.sup id = n := by
refine le_antisymm (Finset.sup_le fun _ ↦ divisor_le) ?_
rcases Decidable.eq_or_ne n 0 with rfl | hn
· apply zero_le
· exact Finset.le_sup (f := id) <| mem_divisors_self n hn
lemma one_lt_of_mem_properDivisors {m n : ℕ} (h : m ∈ n.properDivisors) : 1 < n :=
lt_of_le_of_lt (pos_of_mem_properDivisors h) (mem_properDivisors.1 h).2
lemma one_lt_div_of_mem_properDivisors {m n : ℕ} (h : m ∈ n.properDivisors) :
1 < n / m := by
obtain ⟨h_dvd, h_lt⟩ := mem_properDivisors.mp h
rwa [Nat.lt_div_iff_mul_lt h_dvd, mul_one]
lemma mem_properDivisors_iff_exists {m n : ℕ} (hn : n ≠ 0) :
m ∈ n.properDivisors ↔ ∃ k > 1, n = m * k := by
refine ⟨fun h ↦ ⟨n / m, one_lt_div_of_mem_properDivisors h, ?_⟩, ?_⟩
· exact (Nat.mul_div_cancel' (mem_properDivisors.mp h).1).symm
· rintro ⟨k, hk, rfl⟩
rw [mul_ne_zero_iff] at hn
exact mem_properDivisors.mpr ⟨⟨k, rfl⟩, lt_mul_of_one_lt_right (Nat.pos_of_ne_zero hn.1) hk⟩
@[simp]
lemma nonempty_properDivisors : n.properDivisors.Nonempty ↔ 1 < n :=
⟨fun ⟨_m, hm⟩ ↦ one_lt_of_mem_properDivisors hm, fun hn ↦
⟨1, one_mem_properDivisors_iff_one_lt.2 hn⟩⟩
@[simp]
lemma properDivisors_eq_empty : n.properDivisors = ∅ ↔ n ≤ 1 := by
rw [← not_nonempty_iff_eq_empty, nonempty_properDivisors, not_lt]
@[simp]
theorem divisorsAntidiagonal_zero : divisorsAntidiagonal 0 = ∅ := by
ext
simp
#align nat.divisors_antidiagonal_zero Nat.divisorsAntidiagonal_zero
@[simp]
theorem divisorsAntidiagonal_one : divisorsAntidiagonal 1 = {(1, 1)} := by
ext
simp [mul_eq_one, Prod.ext_iff]
#align nat.divisors_antidiagonal_one Nat.divisorsAntidiagonal_one
-- @[simp]
theorem swap_mem_divisorsAntidiagonal {x : ℕ × ℕ} :
x.swap ∈ divisorsAntidiagonal n ↔ x ∈ divisorsAntidiagonal n := by
rw [mem_divisorsAntidiagonal, mem_divisorsAntidiagonal, mul_comm, Prod.swap]
#align nat.swap_mem_divisors_antidiagonal Nat.swap_mem_divisorsAntidiagonal
-- Porting note: added below thm to replace the simp from the previous thm
@[simp]
theorem swap_mem_divisorsAntidiagonal_aux {x : ℕ × ℕ} :
x.snd * x.fst = n ∧ ¬n = 0 ↔ x ∈ divisorsAntidiagonal n := by
rw [mem_divisorsAntidiagonal, mul_comm]
theorem fst_mem_divisors_of_mem_antidiagonal {x : ℕ × ℕ} (h : x ∈ divisorsAntidiagonal n) :
x.fst ∈ divisors n := by
rw [mem_divisorsAntidiagonal] at h
simp [Dvd.intro _ h.1, h.2]
#align nat.fst_mem_divisors_of_mem_antidiagonal Nat.fst_mem_divisors_of_mem_antidiagonal
theorem snd_mem_divisors_of_mem_antidiagonal {x : ℕ × ℕ} (h : x ∈ divisorsAntidiagonal n) :
x.snd ∈ divisors n := by
rw [mem_divisorsAntidiagonal] at h
simp [Dvd.intro_left _ h.1, h.2]
#align nat.snd_mem_divisors_of_mem_antidiagonal Nat.snd_mem_divisors_of_mem_antidiagonal
@[simp]
theorem map_swap_divisorsAntidiagonal :
(divisorsAntidiagonal n).map (Equiv.prodComm _ _).toEmbedding = divisorsAntidiagonal n := by
rw [← coe_inj, coe_map, Equiv.coe_toEmbedding, Equiv.coe_prodComm,
Set.image_swap_eq_preimage_swap]
ext
exact swap_mem_divisorsAntidiagonal
#align nat.map_swap_divisors_antidiagonal Nat.map_swap_divisorsAntidiagonal
@[simp]
theorem image_fst_divisorsAntidiagonal : (divisorsAntidiagonal n).image Prod.fst = divisors n := by
ext
simp [Dvd.dvd, @eq_comm _ n (_ * _)]
#align nat.image_fst_divisors_antidiagonal Nat.image_fst_divisorsAntidiagonal
@[simp]
theorem image_snd_divisorsAntidiagonal : (divisorsAntidiagonal n).image Prod.snd = divisors n := by
rw [← map_swap_divisorsAntidiagonal, map_eq_image, image_image]
exact image_fst_divisorsAntidiagonal
#align nat.image_snd_divisors_antidiagonal Nat.image_snd_divisorsAntidiagonal
theorem map_div_right_divisors :
n.divisors.map ⟨fun d => (d, n / d), fun p₁ p₂ => congr_arg Prod.fst⟩ =
n.divisorsAntidiagonal := by
ext ⟨d, nd⟩
simp only [mem_map, mem_divisorsAntidiagonal, Function.Embedding.coeFn_mk, mem_divisors,
Prod.ext_iff, exists_prop, and_left_comm, exists_eq_left]
constructor
· rintro ⟨⟨⟨k, rfl⟩, hn⟩, rfl⟩
rw [Nat.mul_div_cancel_left _ (left_ne_zero_of_mul hn).bot_lt]
exact ⟨rfl, hn⟩
· rintro ⟨rfl, hn⟩
exact ⟨⟨dvd_mul_right _ _, hn⟩, Nat.mul_div_cancel_left _ (left_ne_zero_of_mul hn).bot_lt⟩
#align nat.map_div_right_divisors Nat.map_div_right_divisors
theorem map_div_left_divisors :
n.divisors.map ⟨fun d => (n / d, d), fun p₁ p₂ => congr_arg Prod.snd⟩ =
n.divisorsAntidiagonal := by
apply Finset.map_injective (Equiv.prodComm _ _).toEmbedding
ext
rw [map_swap_divisorsAntidiagonal, ← map_div_right_divisors, Finset.map_map]
simp
#align nat.map_div_left_divisors Nat.map_div_left_divisors
theorem sum_divisors_eq_sum_properDivisors_add_self :
∑ i ∈ divisors n, i = (∑ i ∈ properDivisors n, i) + n := by
rcases Decidable.eq_or_ne n 0 with (rfl | hn)
· simp
· rw [← cons_self_properDivisors hn, Finset.sum_cons, add_comm]
#align nat.sum_divisors_eq_sum_proper_divisors_add_self Nat.sum_divisors_eq_sum_properDivisors_add_self
def Perfect (n : ℕ) : Prop :=
∑ i ∈ properDivisors n, i = n ∧ 0 < n
#align nat.perfect Nat.Perfect
theorem perfect_iff_sum_properDivisors (h : 0 < n) : Perfect n ↔ ∑ i ∈ properDivisors n, i = n :=
and_iff_left h
#align nat.perfect_iff_sum_proper_divisors Nat.perfect_iff_sum_properDivisors
theorem perfect_iff_sum_divisors_eq_two_mul (h : 0 < n) :
Perfect n ↔ ∑ i ∈ divisors n, i = 2 * n := by
rw [perfect_iff_sum_properDivisors h, sum_divisors_eq_sum_properDivisors_add_self, two_mul]
constructor <;> intro h
· rw [h]
· apply add_right_cancel h
#align nat.perfect_iff_sum_divisors_eq_two_mul Nat.perfect_iff_sum_divisors_eq_two_mul
theorem mem_divisors_prime_pow {p : ℕ} (pp : p.Prime) (k : ℕ) {x : ℕ} :
x ∈ divisors (p ^ k) ↔ ∃ j ≤ k, x = p ^ j := by
rw [mem_divisors, Nat.dvd_prime_pow pp, and_iff_left (ne_of_gt (pow_pos pp.pos k))]
#align nat.mem_divisors_prime_pow Nat.mem_divisors_prime_pow
theorem Prime.divisors {p : ℕ} (pp : p.Prime) : divisors p = {1, p} := by
ext
rw [mem_divisors, dvd_prime pp, and_iff_left pp.ne_zero, Finset.mem_insert, Finset.mem_singleton]
#align nat.prime.divisors Nat.Prime.divisors
theorem Prime.properDivisors {p : ℕ} (pp : p.Prime) : properDivisors p = {1} := by
rw [← erase_insert properDivisors.not_self_mem, insert_self_properDivisors pp.ne_zero,
pp.divisors, pair_comm, erase_insert fun con => pp.ne_one (mem_singleton.1 con)]
#align nat.prime.proper_divisors Nat.Prime.properDivisors
theorem divisors_prime_pow {p : ℕ} (pp : p.Prime) (k : ℕ) :
divisors (p ^ k) = (Finset.range (k + 1)).map ⟨(p ^ ·), Nat.pow_right_injective pp.two_le⟩ := by
ext a
rw [mem_divisors_prime_pow pp]
simp [Nat.lt_succ, eq_comm]
#align nat.divisors_prime_pow Nat.divisors_prime_pow
theorem divisors_injective : Function.Injective divisors :=
Function.LeftInverse.injective sup_divisors_id
@[simp]
theorem divisors_inj {a b : ℕ} : a.divisors = b.divisors ↔ a = b :=
divisors_injective.eq_iff
theorem eq_properDivisors_of_subset_of_sum_eq_sum {s : Finset ℕ} (hsub : s ⊆ n.properDivisors) :
((∑ x ∈ s, x) = ∑ x ∈ n.properDivisors, x) → s = n.properDivisors := by
cases n
· rw [properDivisors_zero, subset_empty] at hsub
simp [hsub]
classical
rw [← sum_sdiff hsub]
intro h
apply Subset.antisymm hsub
rw [← sdiff_eq_empty_iff_subset]
contrapose h
rw [← Ne, ← nonempty_iff_ne_empty] at h
apply ne_of_lt
rw [← zero_add (∑ x ∈ s, x), ← add_assoc, add_zero]
apply add_lt_add_right
have hlt :=
sum_lt_sum_of_nonempty h fun x hx => pos_of_mem_properDivisors (sdiff_subset hx)
simp only [sum_const_zero] at hlt
apply hlt
#align nat.eq_proper_divisors_of_subset_of_sum_eq_sum Nat.eq_properDivisors_of_subset_of_sum_eq_sum
theorem sum_properDivisors_dvd (h : (∑ x ∈ n.properDivisors, x) ∣ n) :
∑ x ∈ n.properDivisors, x = 1 ∨ ∑ x ∈ n.properDivisors, x = n := by
cases' n with n
· simp
· cases' n with n
· simp at h
· rw [or_iff_not_imp_right]
intro ne_n
have hlt : ∑ x ∈ n.succ.succ.properDivisors, x < n.succ.succ :=
lt_of_le_of_ne (Nat.le_of_dvd (Nat.succ_pos _) h) ne_n
symm
rw [← mem_singleton, eq_properDivisors_of_subset_of_sum_eq_sum (singleton_subset_iff.2
(mem_properDivisors.2 ⟨h, hlt⟩)) (sum_singleton _ _), mem_properDivisors]
exact ⟨one_dvd _, Nat.succ_lt_succ (Nat.succ_pos _)⟩
#align nat.sum_proper_divisors_dvd Nat.sum_properDivisors_dvd
@[to_additive (attr := simp)]
theorem Prime.prod_properDivisors {α : Type*} [CommMonoid α] {p : ℕ} {f : ℕ → α} (h : p.Prime) :
∏ x ∈ p.properDivisors, f x = f 1 := by simp [h.properDivisors]
#align nat.prime.prod_proper_divisors Nat.Prime.prod_properDivisors
#align nat.prime.sum_proper_divisors Nat.Prime.sum_properDivisors
@[to_additive (attr := simp)]
theorem Prime.prod_divisors {α : Type*} [CommMonoid α] {p : ℕ} {f : ℕ → α} (h : p.Prime) :
∏ x ∈ p.divisors, f x = f p * f 1 := by
rw [← cons_self_properDivisors h.ne_zero, prod_cons, h.prod_properDivisors]
#align nat.prime.prod_divisors Nat.Prime.prod_divisors
#align nat.prime.sum_divisors Nat.Prime.sum_divisors
theorem properDivisors_eq_singleton_one_iff_prime : n.properDivisors = {1} ↔ n.Prime := by
refine ⟨?_, ?_⟩
· intro h
refine Nat.prime_def_lt''.mpr ⟨?_, fun m hdvd => ?_⟩
· match n with
| 0 => contradiction
| 1 => contradiction
| Nat.succ (Nat.succ n) => simp [succ_le_succ]
· rw [← mem_singleton, ← h, mem_properDivisors]
have := Nat.le_of_dvd ?_ hdvd
· simp [hdvd, this]
exact (le_iff_eq_or_lt.mp this).symm
· by_contra!
simp only [nonpos_iff_eq_zero.mp this, this] at h
contradiction
· exact fun h => Prime.properDivisors h
#align nat.proper_divisors_eq_singleton_one_iff_prime Nat.properDivisors_eq_singleton_one_iff_prime
theorem sum_properDivisors_eq_one_iff_prime : ∑ x ∈ n.properDivisors, x = 1 ↔ n.Prime := by
cases' n with n
· simp [Nat.not_prime_zero]
· cases n
· simp [Nat.not_prime_one]
· rw [← properDivisors_eq_singleton_one_iff_prime]
refine ⟨fun h => ?_, fun h => h.symm ▸ sum_singleton _ _⟩
rw [@eq_comm (Finset ℕ) _ _]
apply
eq_properDivisors_of_subset_of_sum_eq_sum
(singleton_subset_iff.2
(one_mem_properDivisors_iff_one_lt.2 (succ_lt_succ (Nat.succ_pos _))))
((sum_singleton _ _).trans h.symm)
#align nat.sum_proper_divisors_eq_one_iff_prime Nat.sum_properDivisors_eq_one_iff_prime
theorem mem_properDivisors_prime_pow {p : ℕ} (pp : p.Prime) (k : ℕ) {x : ℕ} :
x ∈ properDivisors (p ^ k) ↔ ∃ (j : ℕ) (_ : j < k), x = p ^ j := by
rw [mem_properDivisors, Nat.dvd_prime_pow pp, ← exists_and_right]
simp only [exists_prop, and_assoc]
apply exists_congr
intro a
constructor <;> intro h
· rcases h with ⟨_h_left, rfl, h_right⟩
rw [Nat.pow_lt_pow_iff_right pp.one_lt] at h_right
exact ⟨h_right, rfl⟩
· rcases h with ⟨h_left, rfl⟩
rw [Nat.pow_lt_pow_iff_right pp.one_lt]
simp [h_left, le_of_lt]
#align nat.mem_proper_divisors_prime_pow Nat.mem_properDivisors_prime_pow
theorem properDivisors_prime_pow {p : ℕ} (pp : p.Prime) (k : ℕ) :
properDivisors (p ^ k) = (Finset.range k).map ⟨(p ^ ·), Nat.pow_right_injective pp.two_le⟩ := by
ext a
simp only [mem_properDivisors, Nat.isUnit_iff, mem_map, mem_range, Function.Embedding.coeFn_mk,
pow_eq]
have := mem_properDivisors_prime_pow pp k (x := a)
rw [mem_properDivisors] at this
rw [this]
refine ⟨?_, ?_⟩
· intro h; rcases h with ⟨j, hj, hap⟩; use j; tauto
· tauto
#align nat.proper_divisors_prime_pow Nat.properDivisors_prime_pow
@[to_additive (attr := simp)]
theorem prod_properDivisors_prime_pow {α : Type*} [CommMonoid α] {k p : ℕ} {f : ℕ → α}
(h : p.Prime) : (∏ x ∈ (p ^ k).properDivisors, f x) = ∏ x ∈ range k, f (p ^ x) := by
simp [h, properDivisors_prime_pow]
#align nat.prod_proper_divisors_prime_pow Nat.prod_properDivisors_prime_pow
#align nat.sum_proper_divisors_prime_nsmul Nat.sum_properDivisors_prime_nsmul
@[to_additive (attr := simp) sum_divisors_prime_pow]
theorem prod_divisors_prime_pow {α : Type*} [CommMonoid α] {k p : ℕ} {f : ℕ → α} (h : p.Prime) :
(∏ x ∈ (p ^ k).divisors, f x) = ∏ x ∈ range (k + 1), f (p ^ x) := by
simp [h, divisors_prime_pow]
#align nat.prod_divisors_prime_pow Nat.prod_divisors_prime_pow
#align nat.sum_divisors_prime_pow Nat.sum_divisors_prime_pow
@[to_additive]
theorem prod_divisorsAntidiagonal {M : Type*} [CommMonoid M] (f : ℕ → ℕ → M) {n : ℕ} :
∏ i ∈ n.divisorsAntidiagonal, f i.1 i.2 = ∏ i ∈ n.divisors, f i (n / i) := by
rw [← map_div_right_divisors, Finset.prod_map]
rfl
#align nat.prod_divisors_antidiagonal Nat.prod_divisorsAntidiagonal
#align nat.sum_divisors_antidiagonal Nat.sum_divisorsAntidiagonal
@[to_additive]
theorem prod_divisorsAntidiagonal' {M : Type*} [CommMonoid M] (f : ℕ → ℕ → M) {n : ℕ} :
∏ i ∈ n.divisorsAntidiagonal, f i.1 i.2 = ∏ i ∈ n.divisors, f (n / i) i := by
rw [← map_swap_divisorsAntidiagonal, Finset.prod_map]
exact prod_divisorsAntidiagonal fun i j => f j i
#align nat.prod_divisors_antidiagonal' Nat.prod_divisorsAntidiagonal'
#align nat.sum_divisors_antidiagonal' Nat.sum_divisorsAntidiagonal'
| Mathlib/NumberTheory/Divisors.lean | 538 | 543 | theorem prime_divisors_eq_to_filter_divisors_prime (n : ℕ) :
n.factors.toFinset = (divisors n).filter Prime := by |
rcases n.eq_zero_or_pos with (rfl | hn)
· simp
· ext q
simpa [hn, hn.ne', mem_factors] using and_comm
|
import Mathlib.LinearAlgebra.FiniteDimensional
import Mathlib.LinearAlgebra.Matrix.GeneralLinearGroup
import Mathlib.LinearAlgebra.Matrix.Nondegenerate
import Mathlib.LinearAlgebra.Matrix.NonsingularInverse
import Mathlib.LinearAlgebra.Matrix.ToLin
import Mathlib.RingTheory.Localization.FractionRing
import Mathlib.RingTheory.Localization.Integer
#align_import linear_algebra.matrix.to_linear_equiv from "leanprover-community/mathlib"@"e42cfdb03b7902f8787a1eb552cb8f77766b45b9"
variable {n : Type*} [Fintype n]
namespace Matrix
section LinearEquiv
open LinearMap
variable {R M : Type*} [CommRing R] [AddCommGroup M] [Module R M]
section Nondegenerate
open Matrix
theorem exists_mulVec_eq_zero_iff_aux {K : Type*} [DecidableEq n] [Field K] {M : Matrix n n K} :
(∃ v ≠ 0, M *ᵥ v = 0) ↔ M.det = 0 := by
constructor
· rintro ⟨v, hv, mul_eq⟩
contrapose! hv
exact eq_zero_of_mulVec_eq_zero hv mul_eq
· contrapose!
intro h
have : Function.Injective (Matrix.toLin' M) := by
simpa only [← LinearMap.ker_eq_bot, ker_toLin'_eq_bot_iff, not_imp_not] using h
have :
M *
LinearMap.toMatrix'
((LinearEquiv.ofInjectiveEndo (Matrix.toLin' M) this).symm : (n → K) →ₗ[K] n → K) =
1 := by
refine Matrix.toLin'.injective (LinearMap.ext fun v => ?_)
rw [Matrix.toLin'_mul, Matrix.toLin'_one, Matrix.toLin'_toMatrix', LinearMap.comp_apply]
exact (LinearEquiv.ofInjectiveEndo (Matrix.toLin' M) this).apply_symm_apply v
exact Matrix.det_ne_zero_of_right_inverse this
#align matrix.exists_mul_vec_eq_zero_iff_aux Matrix.exists_mulVec_eq_zero_iff_aux
theorem exists_mulVec_eq_zero_iff' {A : Type*} (K : Type*) [DecidableEq n] [CommRing A]
[Nontrivial A] [Field K] [Algebra A K] [IsFractionRing A K] {M : Matrix n n A} :
(∃ v ≠ 0, M *ᵥ v = 0) ↔ M.det = 0 := by
have : (∃ v ≠ 0, (algebraMap A K).mapMatrix M *ᵥ v = 0) ↔ _ :=
exists_mulVec_eq_zero_iff_aux
rw [← RingHom.map_det, IsFractionRing.to_map_eq_zero_iff] at this
refine Iff.trans ?_ this; constructor <;> rintro ⟨v, hv, mul_eq⟩
· refine ⟨fun i => algebraMap _ _ (v i), mt (fun h => funext fun i => ?_) hv, ?_⟩
· exact IsFractionRing.to_map_eq_zero_iff.mp (congr_fun h i)
· ext i
refine (RingHom.map_mulVec _ _ _ i).symm.trans ?_
rw [mul_eq, Pi.zero_apply, RingHom.map_zero, Pi.zero_apply]
· letI := Classical.decEq K
obtain ⟨⟨b, hb⟩, ba_eq⟩ :=
IsLocalization.exist_integer_multiples_of_finset (nonZeroDivisors A) (Finset.univ.image v)
choose f hf using ba_eq
refine
⟨fun i => f _ (Finset.mem_image.mpr ⟨i, Finset.mem_univ i, rfl⟩),
mt (fun h => funext fun i => ?_) hv, ?_⟩
· have := congr_arg (algebraMap A K) (congr_fun h i)
rw [hf, Subtype.coe_mk, Pi.zero_apply, RingHom.map_zero, Algebra.smul_def, mul_eq_zero,
IsFractionRing.to_map_eq_zero_iff] at this
exact this.resolve_left (nonZeroDivisors.ne_zero hb)
· ext i
refine IsFractionRing.injective A K ?_
calc
algebraMap A K ((M *ᵥ (fun i : n => f (v i) _)) i) =
((algebraMap A K).mapMatrix M *ᵥ algebraMap _ K b • v) i := ?_
_ = 0 := ?_
_ = algebraMap A K 0 := (RingHom.map_zero _).symm
· simp_rw [RingHom.map_mulVec, mulVec, dotProduct, Function.comp_apply, hf,
RingHom.mapMatrix_apply, Pi.smul_apply, smul_eq_mul, Algebra.smul_def]
· rw [mulVec_smul, mul_eq, Pi.smul_apply, Pi.zero_apply, smul_zero]
#align matrix.exists_mul_vec_eq_zero_iff' Matrix.exists_mulVec_eq_zero_iff'
theorem exists_mulVec_eq_zero_iff {A : Type*} [DecidableEq n] [CommRing A] [IsDomain A]
{M : Matrix n n A} : (∃ v ≠ 0, M *ᵥ v = 0) ↔ M.det = 0 :=
exists_mulVec_eq_zero_iff' (FractionRing A)
#align matrix.exists_mul_vec_eq_zero_iff Matrix.exists_mulVec_eq_zero_iff
| Mathlib/LinearAlgebra/Matrix/ToLinearEquiv.lean | 175 | 177 | theorem exists_vecMul_eq_zero_iff {A : Type*} [DecidableEq n] [CommRing A] [IsDomain A]
{M : Matrix n n A} : (∃ v ≠ 0, v ᵥ* M = 0) ↔ M.det = 0 := by |
simpa only [← M.det_transpose, ← mulVec_transpose] using exists_mulVec_eq_zero_iff
|
import Mathlib.Topology.Algebra.Module.WeakDual
import Mathlib.MeasureTheory.Integral.BoundedContinuousFunction
import Mathlib.MeasureTheory.Measure.HasOuterApproxClosed
#align_import measure_theory.measure.finite_measure from "leanprover-community/mathlib"@"f2ce6086713c78a7f880485f7917ea547a215982"
noncomputable section
open MeasureTheory
open Set
open Filter
open BoundedContinuousFunction
open scoped Topology ENNReal NNReal BoundedContinuousFunction
namespace MeasureTheory
namespace FiniteMeasure
section FiniteMeasure
variable {Ω : Type*} [MeasurableSpace Ω]
def _root_.MeasureTheory.FiniteMeasure (Ω : Type*) [MeasurableSpace Ω] : Type _ :=
{ μ : Measure Ω // IsFiniteMeasure μ }
#align measure_theory.finite_measure MeasureTheory.FiniteMeasure
-- Porting note: as with other subtype synonyms (e.g., `ℝ≥0`, we need a new function for the
-- coercion instead of relying on `Subtype.val`.
@[coe]
def toMeasure : FiniteMeasure Ω → Measure Ω := Subtype.val
instance instCoe : Coe (FiniteMeasure Ω) (MeasureTheory.Measure Ω) where
coe := toMeasure
instance isFiniteMeasure (μ : FiniteMeasure Ω) : IsFiniteMeasure (μ : Measure Ω) :=
μ.prop
#align measure_theory.finite_measure.is_finite_measure MeasureTheory.FiniteMeasure.isFiniteMeasure
@[simp]
theorem val_eq_toMeasure (ν : FiniteMeasure Ω) : ν.val = (ν : Measure Ω) :=
rfl
#align measure_theory.finite_measure.val_eq_to_measure MeasureTheory.FiniteMeasure.val_eq_toMeasure
theorem toMeasure_injective : Function.Injective ((↑) : FiniteMeasure Ω → Measure Ω) :=
Subtype.coe_injective
#align measure_theory.finite_measure.coe_injective MeasureTheory.FiniteMeasure.toMeasure_injective
instance instFunLike : FunLike (FiniteMeasure Ω) (Set Ω) ℝ≥0 where
coe μ s := ((μ : Measure Ω) s).toNNReal
coe_injective' μ ν h := toMeasure_injective $ Measure.ext fun s _ ↦ by
simpa [ENNReal.toNNReal_eq_toNNReal_iff, measure_ne_top] using congr_fun h s
lemma coeFn_def (μ : FiniteMeasure Ω) : μ = fun s ↦ ((μ : Measure Ω) s).toNNReal := rfl
#align measure_theory.finite_measure.coe_fn_eq_to_nnreal_coe_fn_to_measure MeasureTheory.FiniteMeasure.coeFn_def
lemma coeFn_mk (μ : Measure Ω) (hμ) :
DFunLike.coe (F := FiniteMeasure Ω) ⟨μ, hμ⟩ = fun s ↦ (μ s).toNNReal := rfl
@[simp, norm_cast]
lemma mk_apply (μ : Measure Ω) (hμ) (s : Set Ω) :
DFunLike.coe (F := FiniteMeasure Ω) ⟨μ, hμ⟩ s = (μ s).toNNReal := rfl
@[simp]
theorem ennreal_coeFn_eq_coeFn_toMeasure (ν : FiniteMeasure Ω) (s : Set Ω) :
(ν s : ℝ≥0∞) = (ν : Measure Ω) s :=
ENNReal.coe_toNNReal (measure_lt_top (↑ν) s).ne
#align measure_theory.finite_measure.ennreal_coe_fn_eq_coe_fn_to_measure MeasureTheory.FiniteMeasure.ennreal_coeFn_eq_coeFn_toMeasure
theorem apply_mono (μ : FiniteMeasure Ω) {s₁ s₂ : Set Ω} (h : s₁ ⊆ s₂) : μ s₁ ≤ μ s₂ := by
change ((μ : Measure Ω) s₁).toNNReal ≤ ((μ : Measure Ω) s₂).toNNReal
have key : (μ : Measure Ω) s₁ ≤ (μ : Measure Ω) s₂ := (μ : Measure Ω).mono h
apply (ENNReal.toNNReal_le_toNNReal (measure_ne_top _ s₁) (measure_ne_top _ s₂)).mpr key
#align measure_theory.finite_measure.apply_mono MeasureTheory.FiniteMeasure.apply_mono
def mass (μ : FiniteMeasure Ω) : ℝ≥0 :=
μ univ
#align measure_theory.finite_measure.mass MeasureTheory.FiniteMeasure.mass
@[simp] theorem apply_le_mass (μ : FiniteMeasure Ω) (s : Set Ω) : μ s ≤ μ.mass := by
simpa using apply_mono μ (subset_univ s)
@[simp]
theorem ennreal_mass {μ : FiniteMeasure Ω} : (μ.mass : ℝ≥0∞) = (μ : Measure Ω) univ :=
ennreal_coeFn_eq_coeFn_toMeasure μ Set.univ
#align measure_theory.finite_measure.ennreal_mass MeasureTheory.FiniteMeasure.ennreal_mass
instance instZero : Zero (FiniteMeasure Ω) where zero := ⟨0, MeasureTheory.isFiniteMeasureZero⟩
#align measure_theory.finite_measure.has_zero MeasureTheory.FiniteMeasure.instZero
@[simp, norm_cast] lemma coeFn_zero : ⇑(0 : FiniteMeasure Ω) = 0 := rfl
#align measure_theory.finite_measure.coe_fn_zero MeasureTheory.FiniteMeasure.coeFn_zero
@[simp]
theorem zero_mass : (0 : FiniteMeasure Ω).mass = 0 :=
rfl
#align measure_theory.finite_measure.zero.mass MeasureTheory.FiniteMeasure.zero_mass
@[simp]
theorem mass_zero_iff (μ : FiniteMeasure Ω) : μ.mass = 0 ↔ μ = 0 := by
refine ⟨fun μ_mass => ?_, fun hμ => by simp only [hμ, zero_mass]⟩
apply toMeasure_injective
apply Measure.measure_univ_eq_zero.mp
rwa [← ennreal_mass, ENNReal.coe_eq_zero]
#align measure_theory.finite_measure.mass_zero_iff MeasureTheory.FiniteMeasure.mass_zero_iff
theorem mass_nonzero_iff (μ : FiniteMeasure Ω) : μ.mass ≠ 0 ↔ μ ≠ 0 := by
rw [not_iff_not]
exact FiniteMeasure.mass_zero_iff μ
#align measure_theory.finite_measure.mass_nonzero_iff MeasureTheory.FiniteMeasure.mass_nonzero_iff
@[ext]
theorem eq_of_forall_toMeasure_apply_eq (μ ν : FiniteMeasure Ω)
(h : ∀ s : Set Ω, MeasurableSet s → (μ : Measure Ω) s = (ν : Measure Ω) s) : μ = ν := by
apply Subtype.ext
ext1 s s_mble
exact h s s_mble
#align measure_theory.finite_measure.eq_of_forall_measure_apply_eq MeasureTheory.FiniteMeasure.eq_of_forall_toMeasure_apply_eq
theorem eq_of_forall_apply_eq (μ ν : FiniteMeasure Ω)
(h : ∀ s : Set Ω, MeasurableSet s → μ s = ν s) : μ = ν := by
ext1 s s_mble
simpa [ennreal_coeFn_eq_coeFn_toMeasure] using congr_arg ((↑) : ℝ≥0 → ℝ≥0∞) (h s s_mble)
#align measure_theory.finite_measure.eq_of_forall_apply_eq MeasureTheory.FiniteMeasure.eq_of_forall_apply_eq
instance instInhabited : Inhabited (FiniteMeasure Ω) :=
⟨0⟩
instance instAdd : Add (FiniteMeasure Ω) where add μ ν := ⟨μ + ν, MeasureTheory.isFiniteMeasureAdd⟩
variable {R : Type*} [SMul R ℝ≥0] [SMul R ℝ≥0∞] [IsScalarTower R ℝ≥0 ℝ≥0∞]
[IsScalarTower R ℝ≥0∞ ℝ≥0∞]
instance instSMul : SMul R (FiniteMeasure Ω) where
smul (c : R) μ := ⟨c • (μ : Measure Ω), MeasureTheory.isFiniteMeasureSMulOfNNRealTower⟩
@[simp, norm_cast]
theorem toMeasure_zero : ((↑) : FiniteMeasure Ω → Measure Ω) 0 = 0 :=
rfl
#align measure_theory.finite_measure.coe_zero MeasureTheory.FiniteMeasure.toMeasure_zero
-- Porting note: with `simp` here the `coeFn` lemmas below fall prey to `simpNF`: the LHS simplifies
@[norm_cast]
theorem toMeasure_add (μ ν : FiniteMeasure Ω) : ↑(μ + ν) = (↑μ + ↑ν : Measure Ω) :=
rfl
#align measure_theory.finite_measure.coe_add MeasureTheory.FiniteMeasure.toMeasure_add
@[simp, norm_cast]
theorem toMeasure_smul (c : R) (μ : FiniteMeasure Ω) : ↑(c • μ) = c • (μ : Measure Ω) :=
rfl
#align measure_theory.finite_measure.coe_smul MeasureTheory.FiniteMeasure.toMeasure_smul
@[simp, norm_cast]
theorem coeFn_add (μ ν : FiniteMeasure Ω) : (⇑(μ + ν) : Set Ω → ℝ≥0) = (⇑μ + ⇑ν : Set Ω → ℝ≥0) := by
funext
simp only [Pi.add_apply, ← ENNReal.coe_inj, ne_eq, ennreal_coeFn_eq_coeFn_toMeasure,
ENNReal.coe_add]
norm_cast
#align measure_theory.finite_measure.coe_fn_add MeasureTheory.FiniteMeasure.coeFn_add
@[simp, norm_cast]
theorem coeFn_smul [IsScalarTower R ℝ≥0 ℝ≥0] (c : R) (μ : FiniteMeasure Ω) :
(⇑(c • μ) : Set Ω → ℝ≥0) = c • (⇑μ : Set Ω → ℝ≥0) := by
funext; simp [← ENNReal.coe_inj, ENNReal.coe_smul]
#align measure_theory.finite_measure.coe_fn_smul MeasureTheory.FiniteMeasure.coeFn_smul
instance instAddCommMonoid : AddCommMonoid (FiniteMeasure Ω) :=
toMeasure_injective.addCommMonoid (↑) toMeasure_zero toMeasure_add fun _ _ => toMeasure_smul _ _
@[simps]
def toMeasureAddMonoidHom : FiniteMeasure Ω →+ Measure Ω where
toFun := (↑)
map_zero' := toMeasure_zero
map_add' := toMeasure_add
#align measure_theory.finite_measure.coe_add_monoid_hom MeasureTheory.FiniteMeasure.toMeasureAddMonoidHom
instance {Ω : Type*} [MeasurableSpace Ω] : Module ℝ≥0 (FiniteMeasure Ω) :=
Function.Injective.module _ toMeasureAddMonoidHom toMeasure_injective toMeasure_smul
@[simp]
theorem smul_apply [IsScalarTower R ℝ≥0 ℝ≥0] (c : R) (μ : FiniteMeasure Ω) (s : Set Ω) :
(c • μ) s = c • μ s := by
rw [coeFn_smul, Pi.smul_apply]
#align measure_theory.finite_measure.coe_fn_smul_apply MeasureTheory.FiniteMeasure.smul_apply
def restrict (μ : FiniteMeasure Ω) (A : Set Ω) : FiniteMeasure Ω where
val := (μ : Measure Ω).restrict A
property := MeasureTheory.isFiniteMeasureRestrict (μ : Measure Ω) A
#align measure_theory.finite_measure.restrict MeasureTheory.FiniteMeasure.restrict
theorem restrict_measure_eq (μ : FiniteMeasure Ω) (A : Set Ω) :
(μ.restrict A : Measure Ω) = (μ : Measure Ω).restrict A :=
rfl
#align measure_theory.finite_measure.restrict_measure_eq MeasureTheory.FiniteMeasure.restrict_measure_eq
theorem restrict_apply_measure (μ : FiniteMeasure Ω) (A : Set Ω) {s : Set Ω}
(s_mble : MeasurableSet s) : (μ.restrict A : Measure Ω) s = (μ : Measure Ω) (s ∩ A) :=
Measure.restrict_apply s_mble
#align measure_theory.finite_measure.restrict_apply_measure MeasureTheory.FiniteMeasure.restrict_apply_measure
| Mathlib/MeasureTheory/Measure/FiniteMeasure.lean | 303 | 306 | theorem restrict_apply (μ : FiniteMeasure Ω) (A : Set Ω) {s : Set Ω} (s_mble : MeasurableSet s) :
(μ.restrict A) s = μ (s ∩ A) := by |
apply congr_arg ENNReal.toNNReal
exact Measure.restrict_apply s_mble
|
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
| Mathlib/Data/Real/EReal.lean | 828 | 829 | 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
|
import Mathlib.Data.List.Count
import Mathlib.Data.List.Dedup
import Mathlib.Data.List.InsertNth
import Mathlib.Data.List.Lattice
import Mathlib.Data.List.Permutation
import Mathlib.Data.Nat.Factorial.Basic
#align_import data.list.perm from "leanprover-community/mathlib"@"65a1391a0106c9204fe45bc73a039f056558cb83"
-- Make sure we don't import algebra
assert_not_exists Monoid
open Nat
namespace List
variable {α β : Type*} {l l₁ l₂ : List α} {a : α}
#align list.perm List.Perm
instance : Trans (@List.Perm α) (@List.Perm α) List.Perm where
trans := @List.Perm.trans α
open Perm (swap)
attribute [refl] Perm.refl
#align list.perm.refl List.Perm.refl
lemma perm_rfl : l ~ l := Perm.refl _
-- Porting note: used rec_on in mathlib3; lean4 eqn compiler still doesn't like it
attribute [symm] Perm.symm
#align list.perm.symm List.Perm.symm
#align list.perm_comm List.perm_comm
#align list.perm.swap' List.Perm.swap'
attribute [trans] Perm.trans
#align list.perm.eqv List.Perm.eqv
#align list.is_setoid List.isSetoid
#align list.perm.mem_iff List.Perm.mem_iff
#align list.perm.subset List.Perm.subset
theorem Perm.subset_congr_left {l₁ l₂ l₃ : List α} (h : l₁ ~ l₂) : l₁ ⊆ l₃ ↔ l₂ ⊆ l₃ :=
⟨h.symm.subset.trans, h.subset.trans⟩
#align list.perm.subset_congr_left List.Perm.subset_congr_left
theorem Perm.subset_congr_right {l₁ l₂ l₃ : List α} (h : l₁ ~ l₂) : l₃ ⊆ l₁ ↔ l₃ ⊆ l₂ :=
⟨fun h' => h'.trans h.subset, fun h' => h'.trans h.symm.subset⟩
#align list.perm.subset_congr_right List.Perm.subset_congr_right
#align list.perm.append_right List.Perm.append_right
#align list.perm.append_left List.Perm.append_left
#align list.perm.append List.Perm.append
#align list.perm.append_cons List.Perm.append_cons
#align list.perm_middle List.perm_middle
#align list.perm_append_singleton List.perm_append_singleton
#align list.perm_append_comm List.perm_append_comm
#align list.concat_perm List.concat_perm
#align list.perm.length_eq List.Perm.length_eq
#align list.perm.eq_nil List.Perm.eq_nil
#align list.perm.nil_eq List.Perm.nil_eq
#align list.perm_nil List.perm_nil
#align list.nil_perm List.nil_perm
#align list.not_perm_nil_cons List.not_perm_nil_cons
#align list.reverse_perm List.reverse_perm
#align list.perm_cons_append_cons List.perm_cons_append_cons
#align list.perm_replicate List.perm_replicate
#align list.replicate_perm List.replicate_perm
#align list.perm_singleton List.perm_singleton
#align list.singleton_perm List.singleton_perm
#align list.singleton_perm_singleton List.singleton_perm_singleton
#align list.perm_cons_erase List.perm_cons_erase
#align list.perm_induction_on List.Perm.recOnSwap'
-- Porting note: used to be @[congr]
#align list.perm.filter_map List.Perm.filterMap
-- Porting note: used to be @[congr]
#align list.perm.map List.Perm.map
#align list.perm.pmap List.Perm.pmap
#align list.perm.filter List.Perm.filter
#align list.filter_append_perm List.filter_append_perm
#align list.exists_perm_sublist List.exists_perm_sublist
#align list.perm.sizeof_eq_sizeof List.Perm.sizeOf_eq_sizeOf
#align list.sublist.exists_perm_append List.Sublist.exists_perm_append
lemma subperm_iff : l₁ <+~ l₂ ↔ ∃ l, l ~ l₂ ∧ l₁ <+ l := by
refine ⟨?_, fun ⟨l, h₁, h₂⟩ ↦ h₂.subperm.trans h₁.subperm⟩
rintro ⟨l, h₁, h₂⟩
obtain ⟨l', h₂⟩ := h₂.exists_perm_append
exact ⟨l₁ ++ l', (h₂.trans (h₁.append_right _)).symm, (prefix_append _ _).sublist⟩
#align list.subperm_singleton_iff List.singleton_subperm_iff
@[simp] lemma subperm_singleton_iff : l <+~ [a] ↔ l = [] ∨ l = [a] := by
constructor
· rw [subperm_iff]
rintro ⟨s, hla, h⟩
rwa [perm_singleton.mp hla, sublist_singleton] at h
· rintro (rfl | rfl)
exacts [nil_subperm, Subperm.refl _]
attribute [simp] nil_subperm
@[simp]
theorem subperm_nil : List.Subperm l [] ↔ l = [] :=
match l with
| [] => by simp
| head :: tail => by
simp only [iff_false]
intro h
have := h.length_le
simp only [List.length_cons, List.length_nil, Nat.succ_ne_zero, ← Nat.not_lt, Nat.zero_lt_succ,
not_true_eq_false] at this
#align list.perm.countp_eq List.Perm.countP_eq
#align list.subperm.countp_le List.Subperm.countP_le
#align list.perm.countp_congr List.Perm.countP_congr
#align list.countp_eq_countp_filter_add List.countP_eq_countP_filter_add
lemma count_eq_count_filter_add [DecidableEq α] (P : α → Prop) [DecidablePred P]
(l : List α) (a : α) :
count a l = count a (l.filter P) + count a (l.filter (¬ P ·)) := by
convert countP_eq_countP_filter_add l _ P
simp only [decide_not]
#align list.perm.count_eq List.Perm.count_eq
#align list.subperm.count_le List.Subperm.count_le
#align list.perm.foldl_eq' List.Perm.foldl_eq'
theorem Perm.foldl_eq {f : β → α → β} {l₁ l₂ : List α} (rcomm : RightCommutative f) (p : l₁ ~ l₂) :
∀ b, foldl f b l₁ = foldl f b l₂ :=
p.foldl_eq' fun x _hx y _hy z => rcomm z x y
#align list.perm.foldl_eq List.Perm.foldl_eq
theorem Perm.foldr_eq {f : α → β → β} {l₁ l₂ : List α} (lcomm : LeftCommutative f) (p : l₁ ~ l₂) :
∀ b, foldr f b l₁ = foldr f b l₂ := by
intro b
induction p using Perm.recOnSwap' generalizing b with
| nil => rfl
| cons _ _ r => simp; rw [r b]
| swap' _ _ _ r => simp; rw [lcomm, r b]
| trans _ _ r₁ r₂ => exact Eq.trans (r₁ b) (r₂ b)
#align list.perm.foldr_eq List.Perm.foldr_eq
#align list.perm.rec_heq List.Perm.rec_heq
section
variable {op : α → α → α} [IA : Std.Associative op] [IC : Std.Commutative op]
local notation a " * " b => op a b
local notation l " <*> " a => foldl op a l
theorem Perm.fold_op_eq {l₁ l₂ : List α} {a : α} (h : l₁ ~ l₂) : (l₁ <*> a) = l₂ <*> a :=
h.foldl_eq (right_comm _ IC.comm IA.assoc) _
#align list.perm.fold_op_eq List.Perm.fold_op_eq
end
#align list.perm_inv_core List.perm_inv_core
#align list.perm.cons_inv List.Perm.cons_inv
#align list.perm_cons List.perm_cons
#align list.perm_append_left_iff List.perm_append_left_iff
#align list.perm_append_right_iff List.perm_append_right_iff
theorem perm_option_to_list {o₁ o₂ : Option α} : o₁.toList ~ o₂.toList ↔ o₁ = o₂ := by
refine ⟨fun p => ?_, fun e => e ▸ Perm.refl _⟩
cases' o₁ with a <;> cases' o₂ with b; · rfl
· cases p.length_eq
· cases p.length_eq
· exact Option.mem_toList.1 (p.symm.subset <| by simp)
#align list.perm_option_to_list List.perm_option_to_list
#align list.subperm_cons List.subperm_cons
alias ⟨subperm.of_cons, subperm.cons⟩ := subperm_cons
#align list.subperm.of_cons List.subperm.of_cons
#align list.subperm.cons List.subperm.cons
-- Porting note: commented out
--attribute [protected] subperm.cons
theorem cons_subperm_of_mem {a : α} {l₁ l₂ : List α} (d₁ : Nodup l₁) (h₁ : a ∉ l₁) (h₂ : a ∈ l₂)
(s : l₁ <+~ l₂) : a :: l₁ <+~ l₂ := by
rcases s with ⟨l, p, s⟩
induction s generalizing l₁ with
| slnil => cases h₂
| @cons r₁ r₂ b s' ih =>
simp? at h₂ says simp only [mem_cons] at h₂
cases' h₂ with e m
· subst b
exact ⟨a :: r₁, p.cons a, s'.cons₂ _⟩
· rcases ih d₁ h₁ m p with ⟨t, p', s'⟩
exact ⟨t, p', s'.cons _⟩
| @cons₂ r₁ r₂ b _ ih =>
have bm : b ∈ l₁ := p.subset <| mem_cons_self _ _
have am : a ∈ r₂ := by
simp only [find?, mem_cons] at h₂
exact h₂.resolve_left fun e => h₁ <| e.symm ▸ bm
rcases append_of_mem bm with ⟨t₁, t₂, rfl⟩
have st : t₁ ++ t₂ <+ t₁ ++ b :: t₂ := by simp
rcases ih (d₁.sublist st) (mt (fun x => st.subset x) h₁) am
(Perm.cons_inv <| p.trans perm_middle) with
⟨t, p', s'⟩
exact
⟨b :: t, (p'.cons b).trans <| (swap _ _ _).trans (perm_middle.symm.cons a), s'.cons₂ _⟩
#align list.cons_subperm_of_mem List.cons_subperm_of_mem
#align list.subperm_append_left List.subperm_append_left
#align list.subperm_append_right List.subperm_append_right
#align list.subperm.exists_of_length_lt List.Subperm.exists_of_length_lt
protected theorem Nodup.subperm (d : Nodup l₁) (H : l₁ ⊆ l₂) : l₁ <+~ l₂ :=
subperm_of_subset d H
#align list.nodup.subperm List.Nodup.subperm
#align list.perm_ext List.perm_ext_iff_of_nodup
#align list.nodup.sublist_ext List.Nodup.perm_iff_eq_of_sublist
section
variable [DecidableEq α]
-- attribute [congr]
#align list.perm.erase List.Perm.erase
#align list.subperm_cons_erase List.subperm_cons_erase
#align list.erase_subperm List.erase_subperm
#align list.subperm.erase List.Subperm.erase
#align list.perm.diff_right List.Perm.diff_right
#align list.perm.diff_left List.Perm.diff_left
#align list.perm.diff List.Perm.diff
#align list.subperm.diff_right List.Subperm.diff_right
#align list.erase_cons_subperm_cons_erase List.erase_cons_subperm_cons_erase
#align list.subperm_cons_diff List.subperm_cons_diff
#align list.subset_cons_diff List.subset_cons_diff
theorem Perm.bagInter_right {l₁ l₂ : List α} (t : List α) (h : l₁ ~ l₂) :
l₁.bagInter t ~ l₂.bagInter t := by
induction' h with x _ _ _ _ x y _ _ _ _ _ _ ih_1 ih_2 generalizing t; · simp
· by_cases x ∈ t <;> simp [*, Perm.cons]
· by_cases h : x = y
· simp [h]
by_cases xt : x ∈ t <;> by_cases yt : y ∈ t
· simp [xt, yt, mem_erase_of_ne h, mem_erase_of_ne (Ne.symm h), erase_comm, swap]
· simp [xt, yt, mt mem_of_mem_erase, Perm.cons]
· simp [xt, yt, mt mem_of_mem_erase, Perm.cons]
· simp [xt, yt]
· exact (ih_1 _).trans (ih_2 _)
#align list.perm.bag_inter_right List.Perm.bagInter_right
theorem Perm.bagInter_left (l : List α) {t₁ t₂ : List α} (p : t₁ ~ t₂) :
l.bagInter t₁ = l.bagInter t₂ := by
induction' l with a l IH generalizing t₁ t₂ p; · simp
by_cases h : a ∈ t₁
· simp [h, p.subset h, IH (p.erase _)]
· simp [h, mt p.mem_iff.2 h, IH p]
#align list.perm.bag_inter_left List.Perm.bagInter_left
theorem Perm.bagInter {l₁ l₂ t₁ t₂ : List α} (hl : l₁ ~ l₂) (ht : t₁ ~ t₂) :
l₁.bagInter t₁ ~ l₂.bagInter t₂ :=
ht.bagInter_left l₂ ▸ hl.bagInter_right _
#align list.perm.bag_inter List.Perm.bagInter
#align list.cons_perm_iff_perm_erase List.cons_perm_iff_perm_erase
#align list.perm_iff_count List.perm_iff_count
theorem perm_replicate_append_replicate {l : List α} {a b : α} {m n : ℕ} (h : a ≠ b) :
l ~ replicate m a ++ replicate n b ↔ count a l = m ∧ count b l = n ∧ l ⊆ [a, b] := by
rw [perm_iff_count, ← Decidable.and_forall_ne a, ← Decidable.and_forall_ne b]
suffices l ⊆ [a, b] ↔ ∀ c, c ≠ b → c ≠ a → c ∉ l by
simp (config := { contextual := true }) [count_replicate, h, h.symm, this, count_eq_zero]
trans ∀ c, c ∈ l → c = b ∨ c = a
· simp [subset_def, or_comm]
· exact forall_congr' fun _ => by rw [← and_imp, ← not_or, not_imp_not]
#align list.perm_replicate_append_replicate List.perm_replicate_append_replicate
#align list.subperm.cons_right List.Subperm.cons_right
#align list.subperm_append_diff_self_of_count_le List.subperm_append_diff_self_of_count_le
#align list.subperm_ext_iff List.subperm_ext_iff
#align list.decidable_subperm List.decidableSubperm
#align list.subperm.cons_left List.Subperm.cons_left
#align list.decidable_perm List.decidablePerm
-- @[congr]
theorem Perm.dedup {l₁ l₂ : List α} (p : l₁ ~ l₂) : dedup l₁ ~ dedup l₂ :=
perm_iff_count.2 fun a =>
if h : a ∈ l₁ then by simp [nodup_dedup, h, p.subset h] else by simp [h, mt p.mem_iff.2 h]
#align list.perm.dedup List.Perm.dedup
-- attribute [congr]
#align list.perm.insert List.Perm.insert
#align list.perm_insert_swap List.perm_insert_swap
#align list.perm_insert_nth List.perm_insertNth
#align list.perm.union_right List.Perm.union_right
#align list.perm.union_left List.Perm.union_left
-- @[congr]
#align list.perm.union List.Perm.union
#align list.perm.inter_right List.Perm.inter_right
#align list.perm.inter_left List.Perm.inter_left
-- @[congr]
#align list.perm.inter List.Perm.inter
theorem Perm.inter_append {l t₁ t₂ : List α} (h : Disjoint t₁ t₂) :
l ∩ (t₁ ++ t₂) ~ l ∩ t₁ ++ l ∩ t₂ := by
induction l with
| nil => simp
| cons x xs l_ih =>
by_cases h₁ : x ∈ t₁
· have h₂ : x ∉ t₂ := h h₁
simp [*]
by_cases h₂ : x ∈ t₂
· simp only [*, inter_cons_of_not_mem, false_or_iff, mem_append, inter_cons_of_mem,
not_false_iff]
refine Perm.trans (Perm.cons _ l_ih) ?_
change [x] ++ xs ∩ t₁ ++ xs ∩ t₂ ~ xs ∩ t₁ ++ ([x] ++ xs ∩ t₂)
rw [← List.append_assoc]
solve_by_elim [Perm.append_right, perm_append_comm]
· simp [*]
#align list.perm.inter_append List.Perm.inter_append
end
#align list.perm.pairwise_iff List.Perm.pairwise_iff
#align list.pairwise.perm List.Pairwise.perm
#align list.perm.pairwise List.Perm.pairwise
#align list.perm.nodup_iff List.Perm.nodup_iff
#align list.perm.join List.Perm.join
#align list.perm.bind_right List.Perm.bind_right
#align list.perm.join_congr List.Perm.join_congr
theorem Perm.bind_left (l : List α) {f g : α → List β} (h : ∀ a ∈ l, f a ~ g a) :
l.bind f ~ l.bind g :=
Perm.join_congr <| by
rwa [List.forall₂_map_right_iff, List.forall₂_map_left_iff, List.forall₂_same]
#align list.perm.bind_left List.Perm.bind_left
theorem bind_append_perm (l : List α) (f g : α → List β) :
l.bind f ++ l.bind g ~ l.bind fun x => f x ++ g x := by
induction' l with a l IH <;> simp
refine (Perm.trans ?_ (IH.append_left _)).append_left _
rw [← append_assoc, ← append_assoc]
exact perm_append_comm.append_right _
#align list.bind_append_perm List.bind_append_perm
theorem map_append_bind_perm (l : List α) (f : α → β) (g : α → List β) :
l.map f ++ l.bind g ~ l.bind fun x => f x :: g x := by
simpa [← map_eq_bind] using bind_append_perm l (fun x => [f x]) g
#align list.map_append_bind_perm List.map_append_bind_perm
theorem Perm.product_right {l₁ l₂ : List α} (t₁ : List β) (p : l₁ ~ l₂) :
product l₁ t₁ ~ product l₂ t₁ :=
p.bind_right _
#align list.perm.product_right List.Perm.product_right
theorem Perm.product_left (l : List α) {t₁ t₂ : List β} (p : t₁ ~ t₂) :
product l t₁ ~ product l t₂ :=
(Perm.bind_left _) fun _ _ => p.map _
#align list.perm.product_left List.Perm.product_left
-- @[congr]
theorem Perm.product {l₁ l₂ : List α} {t₁ t₂ : List β} (p₁ : l₁ ~ l₂) (p₂ : t₁ ~ t₂) :
product l₁ t₁ ~ product l₂ t₂ :=
(p₁.product_right t₁).trans (p₂.product_left l₂)
#align list.perm.product List.Perm.product
theorem perm_lookmap (f : α → Option α) {l₁ l₂ : List α}
(H : Pairwise (fun a b => ∀ c ∈ f a, ∀ d ∈ f b, a = b ∧ c = d) l₁) (p : l₁ ~ l₂) :
lookmap f l₁ ~ lookmap f l₂ := by
induction' p with a l₁ l₂ p IH a b l l₁ l₂ l₃ p₁ _ IH₁ IH₂; · simp
· cases h : f a
· simp [h]
exact IH (pairwise_cons.1 H).2
· simp [lookmap_cons_some _ _ h, p]
· cases' h₁ : f a with c <;> cases' h₂ : f b with d
· simp [h₁, h₂]
apply swap
· simp [h₁, lookmap_cons_some _ _ h₂]
apply swap
· simp [lookmap_cons_some _ _ h₁, h₂]
apply swap
· simp [lookmap_cons_some _ _ h₁, lookmap_cons_some _ _ h₂]
rcases (pairwise_cons.1 H).1 _ (mem_cons.2 (Or.inl rfl)) _ h₂ _ h₁ with ⟨rfl, rfl⟩
exact Perm.refl _
· refine (IH₁ H).trans (IH₂ ((p₁.pairwise_iff ?_).1 H))
intro x y h c hc d hd
rw [@eq_comm _ y, @eq_comm _ c]
apply h d hd c hc
#align list.perm_lookmap List.perm_lookmap
#align list.perm.erasep List.Perm.eraseP
| Mathlib/Data/List/Perm.lean | 578 | 583 | theorem Perm.take_inter [DecidableEq α] {xs ys : List α} (n : ℕ) (h : xs ~ ys)
(h' : ys.Nodup) : xs.take n ~ ys.inter (xs.take n) := by |
simp only [List.inter]
exact Perm.trans (show xs.take n ~ xs.filter (xs.take n).elem by
conv_lhs => rw [Nodup.take_eq_filter_mem ((Perm.nodup_iff h).2 h')])
(Perm.filter _ h)
|
import Mathlib.Order.Cover
import Mathlib.Order.LatticeIntervals
import Mathlib.Order.GaloisConnection
#align_import order.modular_lattice from "leanprover-community/mathlib"@"207cfac9fcd06138865b5d04f7091e46d9320432"
open Set
variable {α : Type*}
class IsWeakUpperModularLattice (α : Type*) [Lattice α] : Prop where
covBy_sup_of_inf_covBy_covBy {a b : α} : a ⊓ b ⋖ a → a ⊓ b ⋖ b → a ⋖ a ⊔ b
#align is_weak_upper_modular_lattice IsWeakUpperModularLattice
class IsWeakLowerModularLattice (α : Type*) [Lattice α] : Prop where
inf_covBy_of_covBy_covBy_sup {a b : α} : a ⋖ a ⊔ b → b ⋖ a ⊔ b → a ⊓ b ⋖ a
#align is_weak_lower_modular_lattice IsWeakLowerModularLattice
class IsUpperModularLattice (α : Type*) [Lattice α] : Prop where
covBy_sup_of_inf_covBy {a b : α} : a ⊓ b ⋖ a → b ⋖ a ⊔ b
#align is_upper_modular_lattice IsUpperModularLattice
class IsLowerModularLattice (α : Type*) [Lattice α] : Prop where
inf_covBy_of_covBy_sup {a b : α} : a ⋖ a ⊔ b → a ⊓ b ⋖ b
#align is_lower_modular_lattice IsLowerModularLattice
class IsModularLattice (α : Type*) [Lattice α] : Prop where
sup_inf_le_assoc_of_le : ∀ {x : α} (y : α) {z : α}, x ≤ z → (x ⊔ y) ⊓ z ≤ x ⊔ y ⊓ z
#align is_modular_lattice IsModularLattice
section LowerModular
variable [Lattice α] [IsLowerModularLattice α] {a b : α}
theorem inf_covBy_of_covBy_sup_left : a ⋖ a ⊔ b → a ⊓ b ⋖ b :=
IsLowerModularLattice.inf_covBy_of_covBy_sup
#align inf_covby_of_covby_sup_left inf_covBy_of_covBy_sup_left
| Mathlib/Order/ModularLattice.lean | 181 | 183 | theorem inf_covBy_of_covBy_sup_right : b ⋖ a ⊔ b → a ⊓ b ⋖ a := by |
rw [inf_comm, sup_comm]
exact inf_covBy_of_covBy_sup_left
|
import Mathlib.Analysis.Complex.Basic
import Mathlib.Topology.FiberBundle.IsHomeomorphicTrivialBundle
#align_import analysis.complex.re_im_topology from "leanprover-community/mathlib"@"468b141b14016d54b479eb7a0fff1e360b7e3cf6"
open Set
noncomputable section
namespace Complex
theorem isHomeomorphicTrivialFiberBundle_re : IsHomeomorphicTrivialFiberBundle ℝ re :=
⟨equivRealProdCLM.toHomeomorph, fun _ => rfl⟩
#align complex.is_homeomorphic_trivial_fiber_bundle_re Complex.isHomeomorphicTrivialFiberBundle_re
theorem isHomeomorphicTrivialFiberBundle_im : IsHomeomorphicTrivialFiberBundle ℝ im :=
⟨equivRealProdCLM.toHomeomorph.trans (Homeomorph.prodComm ℝ ℝ), fun _ => rfl⟩
#align complex.is_homeomorphic_trivial_fiber_bundle_im Complex.isHomeomorphicTrivialFiberBundle_im
theorem isOpenMap_re : IsOpenMap re :=
isHomeomorphicTrivialFiberBundle_re.isOpenMap_proj
#align complex.is_open_map_re Complex.isOpenMap_re
theorem isOpenMap_im : IsOpenMap im :=
isHomeomorphicTrivialFiberBundle_im.isOpenMap_proj
#align complex.is_open_map_im Complex.isOpenMap_im
theorem quotientMap_re : QuotientMap re :=
isHomeomorphicTrivialFiberBundle_re.quotientMap_proj
#align complex.quotient_map_re Complex.quotientMap_re
theorem quotientMap_im : QuotientMap im :=
isHomeomorphicTrivialFiberBundle_im.quotientMap_proj
#align complex.quotient_map_im Complex.quotientMap_im
theorem interior_preimage_re (s : Set ℝ) : interior (re ⁻¹' s) = re ⁻¹' interior s :=
(isOpenMap_re.preimage_interior_eq_interior_preimage continuous_re _).symm
#align complex.interior_preimage_re Complex.interior_preimage_re
theorem interior_preimage_im (s : Set ℝ) : interior (im ⁻¹' s) = im ⁻¹' interior s :=
(isOpenMap_im.preimage_interior_eq_interior_preimage continuous_im _).symm
#align complex.interior_preimage_im Complex.interior_preimage_im
theorem closure_preimage_re (s : Set ℝ) : closure (re ⁻¹' s) = re ⁻¹' closure s :=
(isOpenMap_re.preimage_closure_eq_closure_preimage continuous_re _).symm
#align complex.closure_preimage_re Complex.closure_preimage_re
theorem closure_preimage_im (s : Set ℝ) : closure (im ⁻¹' s) = im ⁻¹' closure s :=
(isOpenMap_im.preimage_closure_eq_closure_preimage continuous_im _).symm
#align complex.closure_preimage_im Complex.closure_preimage_im
theorem frontier_preimage_re (s : Set ℝ) : frontier (re ⁻¹' s) = re ⁻¹' frontier s :=
(isOpenMap_re.preimage_frontier_eq_frontier_preimage continuous_re _).symm
#align complex.frontier_preimage_re Complex.frontier_preimage_re
theorem frontier_preimage_im (s : Set ℝ) : frontier (im ⁻¹' s) = im ⁻¹' frontier s :=
(isOpenMap_im.preimage_frontier_eq_frontier_preimage continuous_im _).symm
#align complex.frontier_preimage_im Complex.frontier_preimage_im
@[simp]
theorem interior_setOf_re_le (a : ℝ) : interior { z : ℂ | z.re ≤ a } = { z | z.re < a } := by
simpa only [interior_Iic] using interior_preimage_re (Iic a)
#align complex.interior_set_of_re_le Complex.interior_setOf_re_le
@[simp]
theorem interior_setOf_im_le (a : ℝ) : interior { z : ℂ | z.im ≤ a } = { z | z.im < a } := by
simpa only [interior_Iic] using interior_preimage_im (Iic a)
#align complex.interior_set_of_im_le Complex.interior_setOf_im_le
@[simp]
theorem interior_setOf_le_re (a : ℝ) : interior { z : ℂ | a ≤ z.re } = { z | a < z.re } := by
simpa only [interior_Ici] using interior_preimage_re (Ici a)
#align complex.interior_set_of_le_re Complex.interior_setOf_le_re
@[simp]
theorem interior_setOf_le_im (a : ℝ) : interior { z : ℂ | a ≤ z.im } = { z | a < z.im } := by
simpa only [interior_Ici] using interior_preimage_im (Ici a)
#align complex.interior_set_of_le_im Complex.interior_setOf_le_im
@[simp]
theorem closure_setOf_re_lt (a : ℝ) : closure { z : ℂ | z.re < a } = { z | z.re ≤ a } := by
simpa only [closure_Iio] using closure_preimage_re (Iio a)
#align complex.closure_set_of_re_lt Complex.closure_setOf_re_lt
@[simp]
theorem closure_setOf_im_lt (a : ℝ) : closure { z : ℂ | z.im < a } = { z | z.im ≤ a } := by
simpa only [closure_Iio] using closure_preimage_im (Iio a)
#align complex.closure_set_of_im_lt Complex.closure_setOf_im_lt
@[simp]
theorem closure_setOf_lt_re (a : ℝ) : closure { z : ℂ | a < z.re } = { z | a ≤ z.re } := by
simpa only [closure_Ioi] using closure_preimage_re (Ioi a)
#align complex.closure_set_of_lt_re Complex.closure_setOf_lt_re
@[simp]
theorem closure_setOf_lt_im (a : ℝ) : closure { z : ℂ | a < z.im } = { z | a ≤ z.im } := by
simpa only [closure_Ioi] using closure_preimage_im (Ioi a)
#align complex.closure_set_of_lt_im Complex.closure_setOf_lt_im
@[simp]
| Mathlib/Analysis/Complex/ReImTopology.lean | 134 | 135 | theorem frontier_setOf_re_le (a : ℝ) : frontier { z : ℂ | z.re ≤ a } = { z | z.re = a } := by |
simpa only [frontier_Iic] using frontier_preimage_re (Iic a)
|
import Mathlib.Analysis.Calculus.Deriv.Basic
import Mathlib.Analysis.Calculus.ContDiff.Defs
#align_import analysis.calculus.iterated_deriv from "leanprover-community/mathlib"@"3bce8d800a6f2b8f63fe1e588fd76a9ff4adcebe"
noncomputable section
open scoped Classical Topology
open Filter Asymptotics Set
variable {𝕜 : Type*} [NontriviallyNormedField 𝕜]
variable {F : Type*} [NormedAddCommGroup F] [NormedSpace 𝕜 F]
variable {E : Type*} [NormedAddCommGroup E] [NormedSpace 𝕜 E]
def iteratedDeriv (n : ℕ) (f : 𝕜 → F) (x : 𝕜) : F :=
(iteratedFDeriv 𝕜 n f x : (Fin n → 𝕜) → F) fun _ : Fin n => 1
#align iterated_deriv iteratedDeriv
def iteratedDerivWithin (n : ℕ) (f : 𝕜 → F) (s : Set 𝕜) (x : 𝕜) : F :=
(iteratedFDerivWithin 𝕜 n f s x : (Fin n → 𝕜) → F) fun _ : Fin n => 1
#align iterated_deriv_within iteratedDerivWithin
variable {n : ℕ} {f : 𝕜 → F} {s : Set 𝕜} {x : 𝕜}
| Mathlib/Analysis/Calculus/IteratedDeriv/Defs.lean | 69 | 71 | theorem iteratedDerivWithin_univ : iteratedDerivWithin n f univ = iteratedDeriv n f := by |
ext x
rw [iteratedDerivWithin, iteratedDeriv, iteratedFDerivWithin_univ]
|
import Mathlib.Init.Classical
import Mathlib.Order.FixedPoints
import Mathlib.Order.Zorn
#align_import set_theory.cardinal.schroeder_bernstein from "leanprover-community/mathlib"@"1e05171a5e8cf18d98d9cf7b207540acb044acae"
open Set Function
open scoped Classical
universe u v
namespace Function
namespace Embedding
section antisymm
variable {α : Type u} {β : Type v}
| Mathlib/SetTheory/Cardinal/SchroederBernstein.lean | 47 | 76 | theorem schroeder_bernstein {f : α → β} {g : β → α} (hf : Function.Injective f)
(hg : Function.Injective g) : ∃ h : α → β, Bijective h := by |
cases' isEmpty_or_nonempty β with hβ hβ
· have : IsEmpty α := Function.isEmpty f
exact ⟨_, ((Equiv.equivEmpty α).trans (Equiv.equivEmpty β).symm).bijective⟩
set F : Set α →o Set α :=
{ toFun := fun s => (g '' (f '' s)ᶜ)ᶜ
monotone' := fun s t hst =>
compl_subset_compl.mpr <| image_subset _ <| compl_subset_compl.mpr <| image_subset _ hst }
-- Porting note: dot notation `F.lfp` doesn't work here
set s : Set α := OrderHom.lfp F
have hs : (g '' (f '' s)ᶜ)ᶜ = s := F.map_lfp
have hns : g '' (f '' s)ᶜ = sᶜ := compl_injective (by simp [hs])
set g' := invFun g
have g'g : LeftInverse g' g := leftInverse_invFun hg
have hg'ns : g' '' sᶜ = (f '' s)ᶜ := by rw [← hns, g'g.image_image]
set h : α → β := s.piecewise f g'
have : Surjective h := by rw [← range_iff_surjective, range_piecewise, hg'ns, union_compl_self]
have : Injective h := by
refine (injective_piecewise_iff _).2 ⟨hf.injOn, ?_, ?_⟩
· intro x hx y hy hxy
obtain ⟨x', _, rfl⟩ : x ∈ g '' (f '' s)ᶜ := by rwa [hns]
obtain ⟨y', _, rfl⟩ : y ∈ g '' (f '' s)ᶜ := by rwa [hns]
rw [g'g _, g'g _] at hxy
rw [hxy]
· intro x hx y hy hxy
obtain ⟨y', hy', rfl⟩ : y ∈ g '' (f '' s)ᶜ := by rwa [hns]
rw [g'g _] at hxy
exact hy' ⟨x, hx, hxy⟩
exact ⟨h, ‹Injective h›, ‹Surjective h›⟩
|
import Mathlib.Algebra.Field.Opposite
import Mathlib.Algebra.Group.Subgroup.ZPowers
import Mathlib.Algebra.Group.Submonoid.Membership
import Mathlib.Algebra.Ring.NegOnePow
import Mathlib.Algebra.Order.Archimedean
import Mathlib.GroupTheory.Coset
#align_import algebra.periodic from "leanprover-community/mathlib"@"30413fc89f202a090a54d78e540963ed3de0056e"
variable {α β γ : Type*} {f g : α → β} {c c₁ c₂ x : α}
open Set
namespace Function
@[simp]
def Periodic [Add α] (f : α → β) (c : α) : Prop :=
∀ x : α, f (x + c) = f x
#align function.periodic Function.Periodic
protected theorem Periodic.funext [Add α] (h : Periodic f c) : (fun x => f (x + c)) = f :=
funext h
#align function.periodic.funext Function.Periodic.funext
protected theorem Periodic.comp [Add α] (h : Periodic f c) (g : β → γ) : Periodic (g ∘ f) c := by
simp_all
#align function.periodic.comp Function.Periodic.comp
theorem Periodic.comp_addHom [Add α] [Add γ] (h : Periodic f c) (g : AddHom γ α) (g_inv : α → γ)
(hg : RightInverse g_inv g) : Periodic (f ∘ g) (g_inv c) := fun x => by
simp only [hg c, h (g x), map_add, comp_apply]
#align function.periodic.comp_add_hom Function.Periodic.comp_addHom
@[to_additive]
protected theorem Periodic.mul [Add α] [Mul β] (hf : Periodic f c) (hg : Periodic g c) :
Periodic (f * g) c := by simp_all
#align function.periodic.mul Function.Periodic.mul
#align function.periodic.add Function.Periodic.add
@[to_additive]
protected theorem Periodic.div [Add α] [Div β] (hf : Periodic f c) (hg : Periodic g c) :
Periodic (f / g) c := by simp_all
#align function.periodic.div Function.Periodic.div
#align function.periodic.sub Function.Periodic.sub
@[to_additive]
theorem _root_.List.periodic_prod [Add α] [Monoid β] (l : List (α → β))
(hl : ∀ f ∈ l, Periodic f c) : Periodic l.prod c := by
induction' l with g l ih hl
· simp
· rw [List.forall_mem_cons] at hl
simpa only [List.prod_cons] using hl.1.mul (ih hl.2)
#align list.periodic_prod List.periodic_prod
#align list.periodic_sum List.periodic_sum
@[to_additive]
theorem _root_.Multiset.periodic_prod [Add α] [CommMonoid β] (s : Multiset (α → β))
(hs : ∀ f ∈ s, Periodic f c) : Periodic s.prod c :=
(s.prod_toList ▸ s.toList.periodic_prod) fun f hf => hs f <| Multiset.mem_toList.mp hf
#align multiset.periodic_prod Multiset.periodic_prod
#align multiset.periodic_sum Multiset.periodic_sum
@[to_additive]
theorem _root_.Finset.periodic_prod [Add α] [CommMonoid β] {ι : Type*} {f : ι → α → β}
(s : Finset ι) (hs : ∀ i ∈ s, Periodic (f i) c) : Periodic (∏ i ∈ s, f i) c :=
s.prod_to_list f ▸ (s.toList.map f).periodic_prod (by simpa [-Periodic] )
#align finset.periodic_prod Finset.periodic_prod
#align finset.periodic_sum Finset.periodic_sum
@[to_additive]
protected theorem Periodic.smul [Add α] [SMul γ β] (h : Periodic f c) (a : γ) :
Periodic (a • f) c := by simp_all
#align function.periodic.smul Function.Periodic.smul
#align function.periodic.vadd Function.Periodic.vadd
protected theorem Periodic.const_smul [AddMonoid α] [Group γ] [DistribMulAction γ α]
(h : Periodic f c) (a : γ) : Periodic (fun x => f (a • x)) (a⁻¹ • c) := fun x => by
simpa only [smul_add, smul_inv_smul] using h (a • x)
#align function.periodic.const_smul Function.Periodic.const_smul
protected theorem Periodic.const_smul₀ [AddCommMonoid α] [DivisionSemiring γ] [Module γ α]
(h : Periodic f c) (a : γ) : Periodic (fun x => f (a • x)) (a⁻¹ • c) := fun x => by
by_cases ha : a = 0
· simp only [ha, zero_smul]
· simpa only [smul_add, smul_inv_smul₀ ha] using h (a • x)
#align function.periodic.const_smul₀ Function.Periodic.const_smul₀
protected theorem Periodic.const_mul [DivisionSemiring α] (h : Periodic f c) (a : α) :
Periodic (fun x => f (a * x)) (a⁻¹ * c) :=
Periodic.const_smul₀ h a
#align function.periodic.const_mul Function.Periodic.const_mul
theorem Periodic.const_inv_smul [AddMonoid α] [Group γ] [DistribMulAction γ α] (h : Periodic f c)
(a : γ) : Periodic (fun x => f (a⁻¹ • x)) (a • c) := by
simpa only [inv_inv] using h.const_smul a⁻¹
#align function.periodic.const_inv_smul Function.Periodic.const_inv_smul
theorem Periodic.const_inv_smul₀ [AddCommMonoid α] [DivisionSemiring γ] [Module γ α]
(h : Periodic f c) (a : γ) : Periodic (fun x => f (a⁻¹ • x)) (a • c) := by
simpa only [inv_inv] using h.const_smul₀ a⁻¹
#align function.periodic.const_inv_smul₀ Function.Periodic.const_inv_smul₀
theorem Periodic.const_inv_mul [DivisionSemiring α] (h : Periodic f c) (a : α) :
Periodic (fun x => f (a⁻¹ * x)) (a * c) :=
h.const_inv_smul₀ a
#align function.periodic.const_inv_mul Function.Periodic.const_inv_mul
theorem Periodic.mul_const [DivisionSemiring α] (h : Periodic f c) (a : α) :
Periodic (fun x => f (x * a)) (c * a⁻¹) :=
h.const_smul₀ (MulOpposite.op a)
#align function.periodic.mul_const Function.Periodic.mul_const
theorem Periodic.mul_const' [DivisionSemiring α] (h : Periodic f c) (a : α) :
Periodic (fun x => f (x * a)) (c / a) := by simpa only [div_eq_mul_inv] using h.mul_const a
#align function.periodic.mul_const' Function.Periodic.mul_const'
theorem Periodic.mul_const_inv [DivisionSemiring α] (h : Periodic f c) (a : α) :
Periodic (fun x => f (x * a⁻¹)) (c * a) :=
h.const_inv_smul₀ (MulOpposite.op a)
#align function.periodic.mul_const_inv Function.Periodic.mul_const_inv
theorem Periodic.div_const [DivisionSemiring α] (h : Periodic f c) (a : α) :
Periodic (fun x => f (x / a)) (c * a) := by simpa only [div_eq_mul_inv] using h.mul_const_inv a
#align function.periodic.div_const Function.Periodic.div_const
theorem Periodic.add_period [AddSemigroup α] (h1 : Periodic f c₁) (h2 : Periodic f c₂) :
Periodic f (c₁ + c₂) := by simp_all [← add_assoc]
#align function.periodic.add_period Function.Periodic.add_period
theorem Periodic.sub_eq [AddGroup α] (h : Periodic f c) (x : α) : f (x - c) = f x := by
simpa only [sub_add_cancel] using (h (x - c)).symm
#align function.periodic.sub_eq Function.Periodic.sub_eq
theorem Periodic.sub_eq' [AddCommGroup α] (h : Periodic f c) : f (c - x) = f (-x) := by
simpa only [sub_eq_neg_add] using h (-x)
#align function.periodic.sub_eq' Function.Periodic.sub_eq'
protected theorem Periodic.neg [AddGroup α] (h : Periodic f c) : Periodic f (-c) := by
simpa only [sub_eq_add_neg, Periodic] using h.sub_eq
#align function.periodic.neg Function.Periodic.neg
theorem Periodic.sub_period [AddGroup α] (h1 : Periodic f c₁) (h2 : Periodic f c₂) :
Periodic f (c₁ - c₂) := fun x => by
rw [sub_eq_add_neg, ← add_assoc, h2.neg, h1]
#align function.periodic.sub_period Function.Periodic.sub_period
theorem Periodic.const_add [AddSemigroup α] (h : Periodic f c) (a : α) :
Periodic (fun x => f (a + x)) c := fun x => by simpa [add_assoc] using h (a + x)
#align function.periodic.const_add Function.Periodic.const_add
theorem Periodic.add_const [AddCommSemigroup α] (h : Periodic f c) (a : α) :
Periodic (fun x => f (x + a)) c := fun x => by
simpa only [add_right_comm] using h (x + a)
#align function.periodic.add_const Function.Periodic.add_const
theorem Periodic.const_sub [AddCommGroup α] (h : Periodic f c) (a : α) :
Periodic (fun x => f (a - x)) c := fun x => by
simp only [← sub_sub, h.sub_eq]
#align function.periodic.const_sub Function.Periodic.const_sub
theorem Periodic.sub_const [AddCommGroup α] (h : Periodic f c) (a : α) :
Periodic (fun x => f (x - a)) c := by
simpa only [sub_eq_add_neg] using h.add_const (-a)
#align function.periodic.sub_const Function.Periodic.sub_const
theorem Periodic.nsmul [AddMonoid α] (h : Periodic f c) (n : ℕ) : Periodic f (n • c) := by
induction n <;> simp_all [Nat.succ_eq_add_one, add_nsmul, ← add_assoc, zero_nsmul]
#align function.periodic.nsmul Function.Periodic.nsmul
theorem Periodic.nat_mul [Semiring α] (h : Periodic f c) (n : ℕ) : Periodic f (n * c) := by
simpa only [nsmul_eq_mul] using h.nsmul n
#align function.periodic.nat_mul Function.Periodic.nat_mul
theorem Periodic.neg_nsmul [AddGroup α] (h : Periodic f c) (n : ℕ) : Periodic f (-(n • c)) :=
(h.nsmul n).neg
#align function.periodic.neg_nsmul Function.Periodic.neg_nsmul
theorem Periodic.neg_nat_mul [Ring α] (h : Periodic f c) (n : ℕ) : Periodic f (-(n * c)) :=
(h.nat_mul n).neg
#align function.periodic.neg_nat_mul Function.Periodic.neg_nat_mul
theorem Periodic.sub_nsmul_eq [AddGroup α] (h : Periodic f c) (n : ℕ) : f (x - n • c) = f x := by
simpa only [sub_eq_add_neg] using h.neg_nsmul n x
#align function.periodic.sub_nsmul_eq Function.Periodic.sub_nsmul_eq
theorem Periodic.sub_nat_mul_eq [Ring α] (h : Periodic f c) (n : ℕ) : f (x - n * c) = f x := by
simpa only [nsmul_eq_mul] using h.sub_nsmul_eq n
#align function.periodic.sub_nat_mul_eq Function.Periodic.sub_nat_mul_eq
theorem Periodic.nsmul_sub_eq [AddCommGroup α] (h : Periodic f c) (n : ℕ) :
f (n • c - x) = f (-x) :=
(h.nsmul n).sub_eq'
#align function.periodic.nsmul_sub_eq Function.Periodic.nsmul_sub_eq
theorem Periodic.nat_mul_sub_eq [Ring α] (h : Periodic f c) (n : ℕ) : f (n * c - x) = f (-x) := by
simpa only [sub_eq_neg_add] using h.nat_mul n (-x)
#align function.periodic.nat_mul_sub_eq Function.Periodic.nat_mul_sub_eq
protected theorem Periodic.zsmul [AddGroup α] (h : Periodic f c) (n : ℤ) : Periodic f (n • c) := by
cases' n with n n
· simpa only [Int.ofNat_eq_coe, natCast_zsmul] using h.nsmul n
· simpa only [negSucc_zsmul] using (h.nsmul (n + 1)).neg
#align function.periodic.zsmul Function.Periodic.zsmul
protected theorem Periodic.int_mul [Ring α] (h : Periodic f c) (n : ℤ) : Periodic f (n * c) := by
simpa only [zsmul_eq_mul] using h.zsmul n
#align function.periodic.int_mul Function.Periodic.int_mul
theorem Periodic.sub_zsmul_eq [AddGroup α] (h : Periodic f c) (n : ℤ) : f (x - n • c) = f x :=
(h.zsmul n).sub_eq x
#align function.periodic.sub_zsmul_eq Function.Periodic.sub_zsmul_eq
theorem Periodic.sub_int_mul_eq [Ring α] (h : Periodic f c) (n : ℤ) : f (x - n * c) = f x :=
(h.int_mul n).sub_eq x
#align function.periodic.sub_int_mul_eq Function.Periodic.sub_int_mul_eq
theorem Periodic.zsmul_sub_eq [AddCommGroup α] (h : Periodic f c) (n : ℤ) :
f (n • c - x) = f (-x) :=
(h.zsmul _).sub_eq'
#align function.periodic.zsmul_sub_eq Function.Periodic.zsmul_sub_eq
theorem Periodic.int_mul_sub_eq [Ring α] (h : Periodic f c) (n : ℤ) : f (n * c - x) = f (-x) :=
(h.int_mul _).sub_eq'
#align function.periodic.int_mul_sub_eq Function.Periodic.int_mul_sub_eq
protected theorem Periodic.eq [AddZeroClass α] (h : Periodic f c) : f c = f 0 := by
simpa only [zero_add] using h 0
#align function.periodic.eq Function.Periodic.eq
protected theorem Periodic.neg_eq [AddGroup α] (h : Periodic f c) : f (-c) = f 0 :=
h.neg.eq
#align function.periodic.neg_eq Function.Periodic.neg_eq
protected theorem Periodic.nsmul_eq [AddMonoid α] (h : Periodic f c) (n : ℕ) : f (n • c) = f 0 :=
(h.nsmul n).eq
#align function.periodic.nsmul_eq Function.Periodic.nsmul_eq
theorem Periodic.nat_mul_eq [Semiring α] (h : Periodic f c) (n : ℕ) : f (n * c) = f 0 :=
(h.nat_mul n).eq
#align function.periodic.nat_mul_eq Function.Periodic.nat_mul_eq
theorem Periodic.zsmul_eq [AddGroup α] (h : Periodic f c) (n : ℤ) : f (n • c) = f 0 :=
(h.zsmul n).eq
#align function.periodic.zsmul_eq Function.Periodic.zsmul_eq
theorem Periodic.int_mul_eq [Ring α] (h : Periodic f c) (n : ℤ) : f (n * c) = f 0 :=
(h.int_mul n).eq
#align function.periodic.int_mul_eq Function.Periodic.int_mul_eq
theorem Periodic.exists_mem_Ico₀ [LinearOrderedAddCommGroup α] [Archimedean α] (h : Periodic f c)
(hc : 0 < c) (x) : ∃ y ∈ Ico 0 c, f x = f y :=
let ⟨n, H, _⟩ := existsUnique_zsmul_near_of_pos' hc x
⟨x - n • c, H, (h.sub_zsmul_eq n).symm⟩
#align function.periodic.exists_mem_Ico₀ Function.Periodic.exists_mem_Ico₀
theorem Periodic.exists_mem_Ico [LinearOrderedAddCommGroup α] [Archimedean α] (h : Periodic f c)
(hc : 0 < c) (x a) : ∃ y ∈ Ico a (a + c), f x = f y :=
let ⟨n, H, _⟩ := existsUnique_add_zsmul_mem_Ico hc x a
⟨x + n • c, H, (h.zsmul n x).symm⟩
#align function.periodic.exists_mem_Ico Function.Periodic.exists_mem_Ico
theorem Periodic.exists_mem_Ioc [LinearOrderedAddCommGroup α] [Archimedean α] (h : Periodic f c)
(hc : 0 < c) (x a) : ∃ y ∈ Ioc a (a + c), f x = f y :=
let ⟨n, H, _⟩ := existsUnique_add_zsmul_mem_Ioc hc x a
⟨x + n • c, H, (h.zsmul n x).symm⟩
#align function.periodic.exists_mem_Ioc Function.Periodic.exists_mem_Ioc
theorem Periodic.image_Ioc [LinearOrderedAddCommGroup α] [Archimedean α] (h : Periodic f c)
(hc : 0 < c) (a : α) : f '' Ioc a (a + c) = range f :=
(image_subset_range _ _).antisymm <| range_subset_iff.2 fun x =>
let ⟨y, hy, hyx⟩ := h.exists_mem_Ioc hc x a
⟨y, hy, hyx.symm⟩
#align function.periodic.image_Ioc Function.Periodic.image_Ioc
theorem Periodic.image_Icc [LinearOrderedAddCommGroup α] [Archimedean α] (h : Periodic f c)
(hc : 0 < c) (a : α) : f '' Icc a (a + c) = range f :=
(image_subset_range _ _).antisymm <| h.image_Ioc hc a ▸ image_subset _ Ioc_subset_Icc_self
theorem Periodic.image_uIcc [LinearOrderedAddCommGroup α] [Archimedean α] (h : Periodic f c)
(hc : c ≠ 0) (a : α) : f '' uIcc a (a + c) = range f := by
cases hc.lt_or_lt with
| inl hc =>
rw [uIcc_of_ge (add_le_of_nonpos_right hc.le), ← h.neg.image_Icc (neg_pos.2 hc) (a + c),
add_neg_cancel_right]
| inr hc => rw [uIcc_of_le (le_add_of_nonneg_right hc.le), h.image_Icc hc]
theorem periodic_with_period_zero [AddZeroClass α] (f : α → β) : Periodic f 0 := fun x => by
rw [add_zero]
#align function.periodic_with_period_zero Function.periodic_with_period_zero
| Mathlib/Algebra/Periodic.lean | 327 | 330 | theorem Periodic.map_vadd_zmultiples [AddCommGroup α] (hf : Periodic f c)
(a : AddSubgroup.zmultiples c) (x : α) : f (a +ᵥ x) = f x := by |
rcases a with ⟨_, m, rfl⟩
simp [AddSubgroup.vadd_def, add_comm _ x, hf.zsmul m x]
|
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}
| Mathlib/Dynamics/Ergodic/Ergodic.lean | 89 | 96 | 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⟩
|
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]
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]
#align vector.nth_of_fn Vector.get_ofFn
@[simp]
theorem ofFn_get (v : Vector α n) : ofFn (get v) = v := by
rcases v with ⟨l, rfl⟩
apply toList_injective
dsimp
simpa only [toList_ofFn] using List.ofFn_get _
#align vector.of_fn_nth Vector.ofFn_get
def _root_.Equiv.vectorEquivFin (α : Type*) (n : ℕ) : Vector α n ≃ (Fin n → α) :=
⟨Vector.get, Vector.ofFn, Vector.ofFn_get, fun f => funext <| Vector.get_ofFn f⟩
#align equiv.vector_equiv_fin Equiv.vectorEquivFin
theorem get_tail (x : Vector α n) (i) : x.tail.get i = x.get ⟨i.1 + 1, by omega⟩ := by
cases' i with i ih; dsimp
rcases x with ⟨_ | _, h⟩ <;> try rfl
rw [List.length] at h
rw [← h] at ih
contradiction
#align vector.nth_tail Vector.get_tail
@[simp]
theorem get_tail_succ : ∀ (v : Vector α n.succ) (i : Fin n), get (tail v) i = get v i.succ
| ⟨a :: l, e⟩, ⟨i, h⟩ => by simp [get_eq_get]; rfl
#align vector.nth_tail_succ Vector.get_tail_succ
@[simp]
theorem tail_val : ∀ v : Vector α n.succ, v.tail.val = v.val.tail
| ⟨_ :: _, _⟩ => rfl
#align vector.tail_val Vector.tail_val
@[simp]
theorem tail_nil : (@nil α).tail = nil :=
rfl
#align vector.tail_nil Vector.tail_nil
@[simp]
theorem singleton_tail : ∀ (v : Vector α 1), v.tail = Vector.nil
| ⟨[_], _⟩ => rfl
#align vector.singleton_tail Vector.singleton_tail
@[simp]
theorem tail_ofFn {n : ℕ} (f : Fin n.succ → α) : tail (ofFn f) = ofFn fun i => f i.succ :=
(ofFn_get _).symm.trans <| by
congr
funext i
rw [get_tail, get_ofFn]
rfl
#align vector.tail_of_fn Vector.tail_ofFn
@[simp]
theorem toList_empty (v : Vector α 0) : v.toList = [] :=
List.length_eq_zero.mp v.2
#align vector.to_list_empty Vector.toList_empty
@[simp]
theorem toList_singleton (v : Vector α 1) : v.toList = [v.head] := by
rw [← v.cons_head_tail]
simp only [toList_cons, toList_nil, head_cons, eq_self_iff_true, and_self_iff, singleton_tail]
#align vector.to_list_singleton Vector.toList_singleton
@[simp]
theorem empty_toList_eq_ff (v : Vector α (n + 1)) : v.toList.isEmpty = false :=
match v with
| ⟨_ :: _, _⟩ => rfl
#align vector.empty_to_list_eq_ff Vector.empty_toList_eq_ff
theorem not_empty_toList (v : Vector α (n + 1)) : ¬v.toList.isEmpty := by
simp only [empty_toList_eq_ff, Bool.coe_sort_false, not_false_iff]
#align vector.not_empty_to_list Vector.not_empty_toList
@[simp]
theorem map_id {n : ℕ} (v : Vector α n) : Vector.map id v = v :=
Vector.eq _ _ (by simp only [List.map_id, Vector.toList_map])
#align vector.map_id Vector.map_id
theorem nodup_iff_injective_get {v : Vector α n} : v.toList.Nodup ↔ Function.Injective v.get := by
cases' v with l hl
subst hl
exact List.nodup_iff_injective_get
#align vector.nodup_iff_nth_inj Vector.nodup_iff_injective_get
theorem head?_toList : ∀ v : Vector α n.succ, (toList v).head? = some (head v)
| ⟨_ :: _, _⟩ => rfl
#align vector.head'_to_list Vector.head?_toList
def reverse (v : Vector α n) : Vector α n :=
⟨v.toList.reverse, by simp⟩
#align vector.reverse Vector.reverse
theorem toList_reverse {v : Vector α n} : v.reverse.toList = v.toList.reverse :=
rfl
#align vector.to_list_reverse Vector.toList_reverse
@[simp]
theorem reverse_reverse {v : Vector α n} : v.reverse.reverse = v := by
cases v
simp [Vector.reverse]
#align vector.reverse_reverse Vector.reverse_reverse
@[simp]
theorem get_zero : ∀ v : Vector α n.succ, get v 0 = head v
| ⟨_ :: _, _⟩ => rfl
#align vector.nth_zero Vector.get_zero
@[simp]
theorem head_ofFn {n : ℕ} (f : Fin n.succ → α) : head (ofFn f) = f 0 := by
rw [← get_zero, get_ofFn]
#align vector.head_of_fn Vector.head_ofFn
--@[simp] Porting note (#10618): simp can prove it
theorem get_cons_zero (a : α) (v : Vector α n) : get (a ::ᵥ v) 0 = a := by simp [get_zero]
#align vector.nth_cons_zero Vector.get_cons_zero
@[simp]
theorem get_cons_nil : ∀ {ix : Fin 1} (x : α), get (x ::ᵥ nil) ix = x
| ⟨0, _⟩, _ => rfl
#align vector.nth_cons_nil Vector.get_cons_nil
@[simp]
theorem get_cons_succ (a : α) (v : Vector α n) (i : Fin n) : get (a ::ᵥ v) i.succ = get v i := by
rw [← get_tail_succ, tail_cons]
#align vector.nth_cons_succ Vector.get_cons_succ
def last (v : Vector α (n + 1)) : α :=
v.get (Fin.last n)
#align vector.last Vector.last
theorem last_def {v : Vector α (n + 1)} : v.last = v.get (Fin.last n) :=
rfl
#align vector.last_def Vector.last_def
theorem reverse_get_zero {v : Vector α (n + 1)} : v.reverse.head = v.last := by
rw [← get_zero, last_def, get_eq_get, get_eq_get]
simp_rw [toList_reverse]
rw [← Option.some_inj, Fin.cast, Fin.cast, ← List.get?_eq_get, ← List.get?_eq_get,
List.get?_reverse]
· congr
simp
· simp
#align vector.reverse_nth_zero Vector.reverse_get_zero
def mOfFn {m} [Monad m] {α : Type u} : ∀ {n}, (Fin n → m α) → m (Vector α n)
| 0, _ => pure nil
| _ + 1, f => do
let a ← f 0
let v ← mOfFn fun i => f i.succ
pure (a ::ᵥ v)
#align vector.m_of_fn Vector.mOfFn
theorem mOfFn_pure {m} [Monad m] [LawfulMonad m] {α} :
∀ {n} (f : Fin n → α), (@mOfFn m _ _ _ fun i => pure (f i)) = pure (ofFn f)
| 0, f => rfl
| n + 1, f => by
rw [mOfFn, @mOfFn_pure m _ _ _ n _, ofFn]
simp
#align vector.m_of_fn_pure Vector.mOfFn_pure
def mmap {m} [Monad m] {α} {β : Type u} (f : α → m β) : ∀ {n}, Vector α n → m (Vector β n)
| 0, _ => pure nil
| _ + 1, xs => do
let h' ← f xs.head
let t' ← mmap f xs.tail
pure (h' ::ᵥ t')
#align vector.mmap Vector.mmap
@[simp]
theorem mmap_nil {m} [Monad m] {α β} (f : α → m β) : mmap f nil = pure nil :=
rfl
#align vector.mmap_nil Vector.mmap_nil
@[simp]
theorem mmap_cons {m} [Monad m] {α β} (f : α → m β) (a) :
∀ {n} (v : Vector α n),
mmap f (a ::ᵥ v) = do
let h' ← f a
let t' ← mmap f v
pure (h' ::ᵥ t')
| _, ⟨_, rfl⟩ => rfl
#align vector.mmap_cons Vector.mmap_cons
@[elab_as_elim, induction_eliminator]
def inductionOn {C : ∀ {n : ℕ}, Vector α n → Sort*} {n : ℕ} (v : Vector α n)
(nil : C nil) (cons : ∀ {n : ℕ} {x : α} {w : Vector α n}, C w → C (x ::ᵥ w)) : C v := by
-- Porting note: removed `generalizing`: already generalized
induction' n with n ih
· rcases v with ⟨_ | ⟨-, -⟩, - | -⟩
exact nil
· rcases v with ⟨_ | ⟨a, v⟩, v_property⟩
cases v_property
exact cons (ih ⟨v, (add_left_inj 1).mp v_property⟩)
#align vector.induction_on Vector.inductionOn
@[simp]
theorem inductionOn_nil {C : ∀ {n : ℕ}, Vector α n → Sort*}
(nil : C nil) (cons : ∀ {n : ℕ} {x : α} {w : Vector α n}, C w → C (x ::ᵥ w)) :
Vector.nil.inductionOn nil cons = nil :=
rfl
@[simp]
theorem inductionOn_cons {C : ∀ {n : ℕ}, Vector α n → Sort*} {n : ℕ} (x : α) (v : Vector α n)
(nil : C nil) (cons : ∀ {n : ℕ} {x : α} {w : Vector α n}, C w → C (x ::ᵥ w)) :
(x ::ᵥ v).inductionOn nil cons = cons (v.inductionOn nil cons : C v) :=
rfl
variable {β γ : Type*}
@[elab_as_elim]
def inductionOn₂ {C : ∀ {n}, Vector α n → Vector β n → Sort*}
(v : Vector α n) (w : Vector β n)
(nil : C nil nil) (cons : ∀ {n a b} {x : Vector α n} {y}, C x y → C (a ::ᵥ x) (b ::ᵥ y)) :
C v w := by
-- Porting note: removed `generalizing`: already generalized
induction' n with n ih
· rcases v with ⟨_ | ⟨-, -⟩, - | -⟩
rcases w with ⟨_ | ⟨-, -⟩, - | -⟩
exact nil
· rcases v with ⟨_ | ⟨a, v⟩, v_property⟩
cases v_property
rcases w with ⟨_ | ⟨b, w⟩, w_property⟩
cases w_property
apply @cons n _ _ ⟨v, (add_left_inj 1).mp v_property⟩ ⟨w, (add_left_inj 1).mp w_property⟩
apply ih
#align vector.induction_on₂ Vector.inductionOn₂
@[elab_as_elim]
def inductionOn₃ {C : ∀ {n}, Vector α n → Vector β n → Vector γ n → Sort*}
(u : Vector α n) (v : Vector β n) (w : Vector γ n) (nil : C nil nil nil)
(cons : ∀ {n a b c} {x : Vector α n} {y z}, C x y z → C (a ::ᵥ x) (b ::ᵥ y) (c ::ᵥ z)) :
C u v w := by
-- Porting note: removed `generalizing`: already generalized
induction' n with n ih
· rcases u with ⟨_ | ⟨-, -⟩, - | -⟩
rcases v with ⟨_ | ⟨-, -⟩, - | -⟩
rcases w with ⟨_ | ⟨-, -⟩, - | -⟩
exact nil
· rcases u with ⟨_ | ⟨a, u⟩, u_property⟩
cases u_property
rcases v with ⟨_ | ⟨b, v⟩, v_property⟩
cases v_property
rcases w with ⟨_ | ⟨c, w⟩, w_property⟩
cases w_property
apply
@cons n _ _ _ ⟨u, (add_left_inj 1).mp u_property⟩ ⟨v, (add_left_inj 1).mp v_property⟩
⟨w, (add_left_inj 1).mp w_property⟩
apply ih
#align vector.induction_on₃ Vector.inductionOn₃
def casesOn {motive : ∀ {n}, Vector α n → Sort*} (v : Vector α m)
(nil : motive nil)
(cons : ∀ {n}, (hd : α) → (tl : Vector α n) → motive (Vector.cons hd tl)) :
motive v :=
inductionOn (C := motive) v nil @fun _ hd tl _ => cons hd tl
def casesOn₂ {motive : ∀{n}, Vector α n → Vector β n → Sort*} (v₁ : Vector α m) (v₂ : Vector β m)
(nil : motive nil nil)
(cons : ∀{n}, (x : α) → (y : β) → (xs : Vector α n) → (ys : Vector β n)
→ motive (x ::ᵥ xs) (y ::ᵥ ys)) :
motive v₁ v₂ :=
inductionOn₂ (C := motive) v₁ v₂ nil @fun _ x y xs ys _ => cons x y xs ys
def casesOn₃ {motive : ∀{n}, Vector α n → Vector β n → Vector γ n → Sort*} (v₁ : Vector α m)
(v₂ : Vector β m) (v₃ : Vector γ m) (nil : motive nil nil nil)
(cons : ∀{n}, (x : α) → (y : β) → (z : γ) → (xs : Vector α n) → (ys : Vector β n)
→ (zs : Vector γ n) → motive (x ::ᵥ xs) (y ::ᵥ ys) (z ::ᵥ zs)) :
motive v₁ v₂ v₃ :=
inductionOn₃ (C := motive) v₁ v₂ v₃ nil @fun _ x y z xs ys zs _ => cons x y z xs ys zs
def toArray : Vector α n → Array α
| ⟨xs, _⟩ => cast (by rfl) xs.toArray
#align vector.to_array Vector.toArray
-- Porting note: renamed to `set` from `updateNth` to align with `List`
section ModifyNth
def set (v : Vector α n) (i : Fin n) (a : α) : Vector α n :=
⟨v.1.set i.1 a, by simp⟩
#align vector.update_nth Vector.set
@[simp]
theorem toList_set (v : Vector α n) (i : Fin n) (a : α) :
(v.set i a).toList = v.toList.set i a :=
rfl
#align vector.to_list_update_nth Vector.toList_set
@[simp]
theorem get_set_same (v : Vector α n) (i : Fin n) (a : α) : (v.set i a).get i = a := by
cases v; cases i; simp [Vector.set, get_eq_get]
#align vector.nth_update_nth_same Vector.get_set_same
theorem get_set_of_ne {v : Vector α n} {i j : Fin n} (h : i ≠ j) (a : α) :
(v.set i a).get j = v.get j := by
cases v; cases i; cases j
simp only [set, get_eq_get, toList_mk, Fin.cast_mk, ne_eq]
rw [List.get_set_of_ne]
· simpa using h
#align vector.nth_update_nth_of_ne Vector.get_set_of_ne
| Mathlib/Data/Vector/Basic.lean | 645 | 647 | theorem get_set_eq_if {v : Vector α n} {i j : Fin n} (a : α) :
(v.set i a).get j = if i = j then a else v.get j := by |
split_ifs <;> (try simp [*]); rwa [get_set_of_ne]
|
import Mathlib.Data.Finset.Lattice
import Mathlib.Data.Fintype.Vector
import Mathlib.Data.Multiset.Sym
#align_import data.finset.sym from "leanprover-community/mathlib"@"02ba8949f486ebecf93fe7460f1ed0564b5e442c"
namespace Finset
variable {α : Type*}
@[simps]
protected def sym2 (s : Finset α) : Finset (Sym2 α) := ⟨s.1.sym2, s.2.sym2⟩
#align finset.sym2 Finset.sym2
section
variable {s t : Finset α} {a b : α}
theorem mk_mem_sym2_iff : s(a, b) ∈ s.sym2 ↔ a ∈ s ∧ b ∈ s := by
rw [mem_mk, sym2_val, Multiset.mk_mem_sym2_iff, mem_mk, mem_mk]
#align finset.mk_mem_sym2_iff Finset.mk_mem_sym2_iff
@[simp]
theorem mem_sym2_iff {m : Sym2 α} : m ∈ s.sym2 ↔ ∀ a ∈ m, a ∈ s := by
rw [mem_mk, sym2_val, Multiset.mem_sym2_iff]
simp only [mem_val]
#align finset.mem_sym2_iff Finset.mem_sym2_iff
instance _root_.Sym2.instFintype [Fintype α] : Fintype (Sym2 α) where
elems := Finset.univ.sym2
complete := fun x ↦ by rw [mem_sym2_iff]; exact (fun a _ ↦ mem_univ a)
-- Note(kmill): Using a default argument to make this simp lemma more general.
@[simp]
theorem sym2_univ [Fintype α] (inst : Fintype (Sym2 α) := Sym2.instFintype) :
(univ : Finset α).sym2 = univ := by
ext
simp only [mem_sym2_iff, mem_univ, implies_true]
#align finset.sym2_univ Finset.sym2_univ
@[simp, mono]
theorem sym2_mono (h : s ⊆ t) : s.sym2 ⊆ t.sym2 := by
rw [← val_le_iff, sym2_val, sym2_val]
apply Multiset.sym2_mono
rwa [val_le_iff]
#align finset.sym2_mono Finset.sym2_mono
theorem monotone_sym2 : Monotone (Finset.sym2 : Finset α → _) := fun _ _ => sym2_mono
theorem injective_sym2 : Function.Injective (Finset.sym2 : Finset α → _) := by
intro s t h
ext x
simpa using congr(s(x, x) ∈ $h)
theorem strictMono_sym2 : StrictMono (Finset.sym2 : Finset α → _) :=
monotone_sym2.strictMono_of_injective injective_sym2
theorem sym2_toFinset [DecidableEq α] (m : Multiset α) :
m.toFinset.sym2 = m.sym2.toFinset := by
ext z
refine z.ind fun x y ↦ ?_
simp only [mk_mem_sym2_iff, Multiset.mem_toFinset, Multiset.mk_mem_sym2_iff]
@[simp]
theorem sym2_empty : (∅ : Finset α).sym2 = ∅ := rfl
#align finset.sym2_empty Finset.sym2_empty
@[simp]
theorem sym2_eq_empty : s.sym2 = ∅ ↔ s = ∅ := by
rw [← val_eq_zero, sym2_val, Multiset.sym2_eq_zero_iff, val_eq_zero]
#align finset.sym2_eq_empty Finset.sym2_eq_empty
@[simp, aesop safe apply (rule_sets := [finsetNonempty])]
theorem sym2_nonempty : s.sym2.Nonempty ↔ s.Nonempty := by
rw [← not_iff_not]
simp_rw [not_nonempty_iff_eq_empty, sym2_eq_empty]
#align finset.sym2_nonempty Finset.sym2_nonempty
protected alias ⟨_, Nonempty.sym2⟩ := sym2_nonempty
#align finset.nonempty.sym2 Finset.Nonempty.sym2
@[simp]
theorem sym2_singleton (a : α) : ({a} : Finset α).sym2 = {Sym2.diag a} := rfl
#align finset.sym2_singleton Finset.sym2_singleton
theorem card_sym2 (s : Finset α) : s.sym2.card = Nat.choose (s.card + 1) 2 := by
rw [card_def, sym2_val, Multiset.card_sym2, ← card_def]
#align finset.card_sym2 Finset.card_sym2
end
variable [DecidableEq α] {s t : Finset α} {a b : α}
theorem sym2_eq_image : s.sym2 = (s ×ˢ s).image Sym2.mk := by
ext z
refine z.ind fun x y ↦ ?_
rw [mk_mem_sym2_iff, mem_image]
constructor
· intro h
use (x, y)
simp only [mem_product, h, and_self, true_and]
· rintro ⟨⟨a, b⟩, h⟩
simp only [mem_product, Sym2.eq_iff] at h
obtain ⟨h, (⟨rfl, rfl⟩ | ⟨rfl, rfl⟩)⟩ := h
<;> simp [h]
theorem isDiag_mk_of_mem_diag {a : α × α} (h : a ∈ s.diag) : (Sym2.mk a).IsDiag :=
(Sym2.isDiag_iff_proj_eq _).2 (mem_diag.1 h).2
#align finset.is_diag_mk_of_mem_diag Finset.isDiag_mk_of_mem_diag
theorem not_isDiag_mk_of_mem_offDiag {a : α × α} (h : a ∈ s.offDiag) :
¬ (Sym2.mk a).IsDiag := by
rw [Sym2.isDiag_iff_proj_eq]
exact (mem_offDiag.1 h).2.2
#align finset.not_is_diag_mk_of_mem_off_diag Finset.not_isDiag_mk_of_mem_offDiag
section Sym
variable {n : ℕ}
-- Porting note: instance needed
instance : DecidableEq (Sym α n) :=
inferInstanceAs <| DecidableEq <| Subtype _
protected def sym (s : Finset α) : ∀ n, Finset (Sym α n)
| 0 => {∅}
| n + 1 => s.sup fun a ↦ Finset.image (Sym.cons a) (s.sym n)
#align finset.sym Finset.sym
@[simp]
theorem sym_zero : s.sym 0 = {∅} := rfl
#align finset.sym_zero Finset.sym_zero
@[simp]
theorem sym_succ : s.sym (n + 1) = s.sup fun a ↦ (s.sym n).image <| Sym.cons a := rfl
#align finset.sym_succ Finset.sym_succ
@[simp]
theorem mem_sym_iff {m : Sym α n} : m ∈ s.sym n ↔ ∀ a ∈ m, a ∈ s := by
induction' n with n ih
· refine mem_singleton.trans ⟨?_, fun _ ↦ Sym.eq_nil_of_card_zero _⟩
rintro rfl
exact fun a ha ↦ (Finset.not_mem_empty _ ha).elim
refine mem_sup.trans ⟨?_, fun h ↦ ?_⟩
· rintro ⟨a, ha, he⟩ b hb
rw [mem_image] at he
obtain ⟨m, he, rfl⟩ := he
rw [Sym.mem_cons] at hb
obtain rfl | hb := hb
· exact ha
· exact ih.1 he _ hb
· obtain ⟨a, m, rfl⟩ := m.exists_eq_cons_of_succ
exact
⟨a, h _ <| Sym.mem_cons_self _ _,
mem_image_of_mem _ <| ih.2 fun b hb ↦ h _ <| Sym.mem_cons_of_mem hb⟩
#align finset.mem_sym_iff Finset.mem_sym_iff
@[simp]
theorem sym_empty (n : ℕ) : (∅ : Finset α).sym (n + 1) = ∅ := rfl
#align finset.sym_empty Finset.sym_empty
theorem replicate_mem_sym (ha : a ∈ s) (n : ℕ) : Sym.replicate n a ∈ s.sym n :=
mem_sym_iff.2 fun b hb ↦ by rwa [(Sym.mem_replicate.1 hb).2]
#align finset.replicate_mem_sym Finset.replicate_mem_sym
protected theorem Nonempty.sym (h : s.Nonempty) (n : ℕ) : (s.sym n).Nonempty :=
let ⟨_a, ha⟩ := h
⟨_, replicate_mem_sym ha n⟩
#align finset.nonempty.sym Finset.Nonempty.sym
@[simp]
theorem sym_singleton (a : α) (n : ℕ) : ({a} : Finset α).sym n = {Sym.replicate n a} :=
eq_singleton_iff_unique_mem.2
⟨replicate_mem_sym (mem_singleton.2 rfl) _, fun _s hs ↦
Sym.eq_replicate_iff.2 fun _b hb ↦ eq_of_mem_singleton <| mem_sym_iff.1 hs _ hb⟩
#align finset.sym_singleton Finset.sym_singleton
| Mathlib/Data/Finset/Sym.lean | 229 | 231 | theorem eq_empty_of_sym_eq_empty (h : s.sym n = ∅) : s = ∅ := by |
rw [← not_nonempty_iff_eq_empty] at h ⊢
exact fun hs ↦ h (hs.sym _)
|
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
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⟩
-- the topological structure is embedded in the uniform structure
-- to avoid instance diamond issues. See Note [forgetful inheritance].
class UniformSpace (α : Type u) extends TopologicalSpace α where
protected uniformity : Filter (α × α)
protected symm : Tendsto Prod.swap uniformity uniformity
protected comp : (uniformity.lift' fun s => s ○ s) ≤ uniformity
protected nhds_eq_comap_uniformity (x : α) : 𝓝 x = comap (Prod.mk x) uniformity
#align uniform_space UniformSpace
#noalign uniform_space.mk' -- Can't be a `match_pattern`, so not useful anymore
def uniformity (α : Type u) [UniformSpace α] : Filter (α × α) :=
@UniformSpace.uniformity α _
#align uniformity uniformity
scoped[Uniformity] notation "𝓤[" u "]" => @uniformity _ u
@[inherit_doc] -- Porting note (#11215): TODO: should we drop the `uniformity` def?
scoped[Uniformity] notation "𝓤" => uniformity
abbrev UniformSpace.ofCoreEq {α : Type u} (u : UniformSpace.Core α) (t : TopologicalSpace α)
(h : t = u.toTopologicalSpace) : UniformSpace α where
__ := u
toTopologicalSpace := t
nhds_eq_comap_uniformity x := by rw [h, u.nhds_toTopologicalSpace]
#align uniform_space.of_core_eq UniformSpace.ofCoreEq
abbrev UniformSpace.ofCore {α : Type u} (u : UniformSpace.Core α) : UniformSpace α :=
.ofCoreEq u _ rfl
#align uniform_space.of_core UniformSpace.ofCore
abbrev UniformSpace.toCore (u : UniformSpace α) : UniformSpace.Core α where
__ := u
refl := by
rintro U hU ⟨x, y⟩ (rfl : x = y)
have : Prod.mk x ⁻¹' U ∈ 𝓝 x := by
rw [UniformSpace.nhds_eq_comap_uniformity]
exact preimage_mem_comap hU
convert mem_of_mem_nhds this
theorem UniformSpace.toCore_toTopologicalSpace (u : UniformSpace α) :
u.toCore.toTopologicalSpace = u.toTopologicalSpace :=
TopologicalSpace.ext_nhds fun a ↦ by
rw [u.nhds_eq_comap_uniformity, u.toCore.nhds_toTopologicalSpace]
#align uniform_space.to_core_to_topological_space UniformSpace.toCore_toTopologicalSpace
@[deprecated UniformSpace.mk (since := "2024-03-20")]
def UniformSpace.ofNhdsEqComap (u : UniformSpace.Core α) (_t : TopologicalSpace α)
(h : ∀ x, 𝓝 x = u.uniformity.comap (Prod.mk x)) : UniformSpace α where
__ := u
nhds_eq_comap_uniformity := h
@[ext]
protected theorem UniformSpace.ext {u₁ u₂ : UniformSpace α} (h : 𝓤[u₁] = 𝓤[u₂]) : u₁ = u₂ := by
have : u₁.toTopologicalSpace = u₂.toTopologicalSpace := TopologicalSpace.ext_nhds fun x ↦ by
rw [u₁.nhds_eq_comap_uniformity, u₂.nhds_eq_comap_uniformity]
exact congr_arg (comap _) h
cases u₁; cases u₂; congr
#align uniform_space_eq UniformSpace.ext
protected theorem UniformSpace.ext_iff {u₁ u₂ : UniformSpace α} :
u₁ = u₂ ↔ ∀ s, s ∈ 𝓤[u₁] ↔ s ∈ 𝓤[u₂] :=
⟨fun h _ => h ▸ Iff.rfl, fun h => by ext; exact h _⟩
theorem UniformSpace.ofCoreEq_toCore (u : UniformSpace α) (t : TopologicalSpace α)
(h : t = u.toCore.toTopologicalSpace) : .ofCoreEq u.toCore t h = u :=
UniformSpace.ext rfl
#align uniform_space.of_core_eq_to_core UniformSpace.ofCoreEq_toCore
abbrev UniformSpace.replaceTopology {α : Type*} [i : TopologicalSpace α] (u : UniformSpace α)
(h : i = u.toTopologicalSpace) : UniformSpace α where
__ := u
toTopologicalSpace := i
nhds_eq_comap_uniformity x := by rw [h, u.nhds_eq_comap_uniformity]
#align uniform_space.replace_topology UniformSpace.replaceTopology
theorem UniformSpace.replaceTopology_eq {α : Type*} [i : TopologicalSpace α] (u : UniformSpace α)
(h : i = u.toTopologicalSpace) : u.replaceTopology h = u :=
UniformSpace.ext rfl
#align uniform_space.replace_topology_eq UniformSpace.replaceTopology_eq
-- Porting note: rfc: use `UniformSpace.Core.mkOfBasis`? This will change defeq here and there
def UniformSpace.ofFun {α : Type u} {β : Type v} [OrderedAddCommMonoid β]
(d : α → α → β) (refl : ∀ x, d x x = 0) (symm : ∀ x y, d x y = d y x)
(triangle : ∀ x y z, d x z ≤ d x y + d y z)
(half : ∀ ε > (0 : β), ∃ δ > (0 : β), ∀ x < δ, ∀ y < δ, x + y < ε) :
UniformSpace α :=
.ofCore
{ uniformity := ⨅ r > 0, 𝓟 { x | d x.1 x.2 < r }
refl := le_iInf₂ fun r hr => principal_mono.2 <| idRel_subset.2 fun x => by simpa [refl]
symm := tendsto_iInf_iInf fun r => tendsto_iInf_iInf fun _ => tendsto_principal_principal.2
fun x hx => by rwa [mem_setOf, symm]
comp := le_iInf₂ fun r hr => let ⟨δ, h0, hδr⟩ := half r hr; le_principal_iff.2 <|
mem_of_superset
(mem_lift' <| mem_iInf_of_mem δ <| mem_iInf_of_mem h0 <| mem_principal_self _)
fun (x, z) ⟨y, h₁, h₂⟩ => (triangle _ _ _).trans_lt (hδr _ h₁ _ h₂) }
#align uniform_space.of_fun UniformSpace.ofFun
theorem UniformSpace.hasBasis_ofFun {α : Type u} {β : Type v} [LinearOrderedAddCommMonoid β]
(h₀ : ∃ x : β, 0 < x) (d : α → α → β) (refl : ∀ x, d x x = 0) (symm : ∀ x y, d x y = d y x)
(triangle : ∀ x y z, d x z ≤ d x y + d y z)
(half : ∀ ε > (0 : β), ∃ δ > (0 : β), ∀ x < δ, ∀ y < δ, x + y < ε) :
𝓤[.ofFun d refl symm triangle half].HasBasis ((0 : β) < ·) (fun ε => { x | d x.1 x.2 < ε }) :=
hasBasis_biInf_principal'
(fun ε₁ h₁ ε₂ h₂ => ⟨min ε₁ ε₂, lt_min h₁ h₂, fun _x hx => lt_of_lt_of_le hx (min_le_left _ _),
fun _x hx => lt_of_lt_of_le hx (min_le_right _ _)⟩) h₀
#align uniform_space.has_basis_of_fun UniformSpace.hasBasis_ofFun
section UniformSpace
variable [UniformSpace α]
theorem nhds_eq_comap_uniformity {x : α} : 𝓝 x = (𝓤 α).comap (Prod.mk x) :=
UniformSpace.nhds_eq_comap_uniformity x
#align nhds_eq_comap_uniformity nhds_eq_comap_uniformity
theorem isOpen_uniformity {s : Set α} :
IsOpen s ↔ ∀ x ∈ s, { p : α × α | p.1 = x → p.2 ∈ s } ∈ 𝓤 α := by
simp only [isOpen_iff_mem_nhds, nhds_eq_comap_uniformity, mem_comap_prod_mk]
#align is_open_uniformity isOpen_uniformity
theorem refl_le_uniformity : 𝓟 idRel ≤ 𝓤 α :=
(@UniformSpace.toCore α _).refl
#align refl_le_uniformity refl_le_uniformity
instance uniformity.neBot [Nonempty α] : NeBot (𝓤 α) :=
diagonal_nonempty.principal_neBot.mono refl_le_uniformity
#align uniformity.ne_bot uniformity.neBot
theorem refl_mem_uniformity {x : α} {s : Set (α × α)} (h : s ∈ 𝓤 α) : (x, x) ∈ s :=
refl_le_uniformity h rfl
#align refl_mem_uniformity refl_mem_uniformity
theorem mem_uniformity_of_eq {x y : α} {s : Set (α × α)} (h : s ∈ 𝓤 α) (hx : x = y) : (x, y) ∈ s :=
refl_le_uniformity h hx
#align mem_uniformity_of_eq mem_uniformity_of_eq
theorem symm_le_uniformity : map (@Prod.swap α α) (𝓤 _) ≤ 𝓤 _ :=
UniformSpace.symm
#align symm_le_uniformity symm_le_uniformity
theorem comp_le_uniformity : ((𝓤 α).lift' fun s : Set (α × α) => s ○ s) ≤ 𝓤 α :=
UniformSpace.comp
#align comp_le_uniformity comp_le_uniformity
theorem lift'_comp_uniformity : ((𝓤 α).lift' fun s : Set (α × α) => s ○ s) = 𝓤 α :=
comp_le_uniformity.antisymm <| le_lift'.2 fun _s hs ↦ mem_of_superset hs <|
subset_comp_self <| idRel_subset.2 fun _ ↦ refl_mem_uniformity hs
theorem tendsto_swap_uniformity : Tendsto (@Prod.swap α α) (𝓤 α) (𝓤 α) :=
symm_le_uniformity
#align tendsto_swap_uniformity tendsto_swap_uniformity
theorem comp_mem_uniformity_sets {s : Set (α × α)} (hs : s ∈ 𝓤 α) : ∃ t ∈ 𝓤 α, t ○ t ⊆ s :=
(mem_lift'_sets <| monotone_id.compRel monotone_id).mp <| comp_le_uniformity hs
#align comp_mem_uniformity_sets comp_mem_uniformity_sets
theorem eventually_uniformity_iterate_comp_subset {s : Set (α × α)} (hs : s ∈ 𝓤 α) (n : ℕ) :
∀ᶠ t in (𝓤 α).smallSets, (t ○ ·)^[n] t ⊆ s := by
suffices ∀ᶠ t in (𝓤 α).smallSets, t ⊆ s ∧ (t ○ ·)^[n] t ⊆ s from (eventually_and.1 this).2
induction' n with n ihn generalizing s
· simpa
rcases comp_mem_uniformity_sets hs with ⟨t, htU, hts⟩
refine (ihn htU).mono fun U hU => ?_
rw [Function.iterate_succ_apply']
exact
⟨hU.1.trans <| (subset_comp_self <| refl_le_uniformity htU).trans hts,
(compRel_mono hU.1 hU.2).trans hts⟩
#align eventually_uniformity_iterate_comp_subset eventually_uniformity_iterate_comp_subset
theorem eventually_uniformity_comp_subset {s : Set (α × α)} (hs : s ∈ 𝓤 α) :
∀ᶠ t in (𝓤 α).smallSets, t ○ t ⊆ s :=
eventually_uniformity_iterate_comp_subset hs 1
#align eventually_uniformity_comp_subset eventually_uniformity_comp_subset
theorem Filter.Tendsto.uniformity_trans {l : Filter β} {f₁ f₂ f₃ : β → α}
(h₁₂ : Tendsto (fun x => (f₁ x, f₂ x)) l (𝓤 α))
(h₂₃ : Tendsto (fun x => (f₂ x, f₃ x)) l (𝓤 α)) : Tendsto (fun x => (f₁ x, f₃ x)) l (𝓤 α) := by
refine le_trans (le_lift'.2 fun s hs => mem_map.2 ?_) comp_le_uniformity
filter_upwards [mem_map.1 (h₁₂ hs), mem_map.1 (h₂₃ hs)] with x hx₁₂ hx₂₃ using ⟨_, hx₁₂, hx₂₃⟩
#align filter.tendsto.uniformity_trans Filter.Tendsto.uniformity_trans
theorem Filter.Tendsto.uniformity_symm {l : Filter β} {f : β → α × α} (h : Tendsto f l (𝓤 α)) :
Tendsto (fun x => ((f x).2, (f x).1)) l (𝓤 α) :=
tendsto_swap_uniformity.comp h
#align filter.tendsto.uniformity_symm Filter.Tendsto.uniformity_symm
theorem tendsto_diag_uniformity (f : β → α) (l : Filter β) :
Tendsto (fun x => (f x, f x)) l (𝓤 α) := fun _s hs =>
mem_map.2 <| univ_mem' fun _ => refl_mem_uniformity hs
#align tendsto_diag_uniformity tendsto_diag_uniformity
theorem tendsto_const_uniformity {a : α} {f : Filter β} : Tendsto (fun _ => (a, a)) f (𝓤 α) :=
tendsto_diag_uniformity (fun _ => a) f
#align tendsto_const_uniformity tendsto_const_uniformity
theorem symm_of_uniformity {s : Set (α × α)} (hs : s ∈ 𝓤 α) :
∃ t ∈ 𝓤 α, (∀ a b, (a, b) ∈ t → (b, a) ∈ t) ∧ t ⊆ s :=
have : preimage Prod.swap s ∈ 𝓤 α := symm_le_uniformity hs
⟨s ∩ preimage Prod.swap s, inter_mem hs this, fun _ _ ⟨h₁, h₂⟩ => ⟨h₂, h₁⟩, inter_subset_left⟩
#align symm_of_uniformity symm_of_uniformity
theorem comp_symm_of_uniformity {s : Set (α × α)} (hs : s ∈ 𝓤 α) :
∃ t ∈ 𝓤 α, (∀ {a b}, (a, b) ∈ t → (b, a) ∈ t) ∧ t ○ t ⊆ s :=
let ⟨_t, ht₁, ht₂⟩ := comp_mem_uniformity_sets hs
let ⟨t', ht', ht'₁, ht'₂⟩ := symm_of_uniformity ht₁
⟨t', ht', ht'₁ _ _, Subset.trans (monotone_id.compRel monotone_id ht'₂) ht₂⟩
#align comp_symm_of_uniformity comp_symm_of_uniformity
theorem uniformity_le_symm : 𝓤 α ≤ @Prod.swap α α <$> 𝓤 α := by
rw [map_swap_eq_comap_swap]; exact tendsto_swap_uniformity.le_comap
#align uniformity_le_symm uniformity_le_symm
theorem uniformity_eq_symm : 𝓤 α = @Prod.swap α α <$> 𝓤 α :=
le_antisymm uniformity_le_symm symm_le_uniformity
#align uniformity_eq_symm uniformity_eq_symm
@[simp]
theorem comap_swap_uniformity : comap (@Prod.swap α α) (𝓤 α) = 𝓤 α :=
(congr_arg _ uniformity_eq_symm).trans <| comap_map Prod.swap_injective
#align comap_swap_uniformity comap_swap_uniformity
theorem symmetrize_mem_uniformity {V : Set (α × α)} (h : V ∈ 𝓤 α) : symmetrizeRel V ∈ 𝓤 α := by
apply (𝓤 α).inter_sets h
rw [← image_swap_eq_preimage_swap, uniformity_eq_symm]
exact image_mem_map h
#align symmetrize_mem_uniformity symmetrize_mem_uniformity
theorem UniformSpace.hasBasis_symmetric :
(𝓤 α).HasBasis (fun s : Set (α × α) => s ∈ 𝓤 α ∧ SymmetricRel s) id :=
hasBasis_self.2 fun t t_in =>
⟨symmetrizeRel t, symmetrize_mem_uniformity t_in, symmetric_symmetrizeRel t,
symmetrizeRel_subset_self t⟩
#align uniform_space.has_basis_symmetric UniformSpace.hasBasis_symmetric
theorem uniformity_lift_le_swap {g : Set (α × α) → Filter β} {f : Filter β} (hg : Monotone g)
(h : ((𝓤 α).lift fun s => g (preimage Prod.swap s)) ≤ f) : (𝓤 α).lift g ≤ f :=
calc
(𝓤 α).lift g ≤ (Filter.map (@Prod.swap α α) <| 𝓤 α).lift g :=
lift_mono uniformity_le_symm le_rfl
_ ≤ _ := by rw [map_lift_eq2 hg, image_swap_eq_preimage_swap]; exact h
#align uniformity_lift_le_swap uniformity_lift_le_swap
theorem uniformity_lift_le_comp {f : Set (α × α) → Filter β} (h : Monotone f) :
((𝓤 α).lift fun s => f (s ○ s)) ≤ (𝓤 α).lift f :=
calc
((𝓤 α).lift fun s => f (s ○ s)) = ((𝓤 α).lift' fun s : Set (α × α) => s ○ s).lift f := by
rw [lift_lift'_assoc]
· exact monotone_id.compRel monotone_id
· exact h
_ ≤ (𝓤 α).lift f := lift_mono comp_le_uniformity le_rfl
#align uniformity_lift_le_comp uniformity_lift_le_comp
-- Porting note (#10756): new lemma
theorem comp3_mem_uniformity {s : Set (α × α)} (hs : s ∈ 𝓤 α) : ∃ t ∈ 𝓤 α, t ○ (t ○ t) ⊆ s :=
let ⟨_t', ht', ht's⟩ := comp_mem_uniformity_sets hs
let ⟨t, ht, htt'⟩ := comp_mem_uniformity_sets ht'
⟨t, ht, (compRel_mono ((subset_comp_self (refl_le_uniformity ht)).trans htt') htt').trans ht's⟩
theorem comp_le_uniformity3 : ((𝓤 α).lift' fun s : Set (α × α) => s ○ (s ○ s)) ≤ 𝓤 α := fun _ h =>
let ⟨_t, htU, ht⟩ := comp3_mem_uniformity h
mem_of_superset (mem_lift' htU) ht
#align comp_le_uniformity3 comp_le_uniformity3
theorem comp_symm_mem_uniformity_sets {s : Set (α × α)} (hs : s ∈ 𝓤 α) :
∃ t ∈ 𝓤 α, SymmetricRel t ∧ t ○ t ⊆ s := by
obtain ⟨w, w_in, w_sub⟩ : ∃ w ∈ 𝓤 α, w ○ w ⊆ s := comp_mem_uniformity_sets hs
use symmetrizeRel w, symmetrize_mem_uniformity w_in, symmetric_symmetrizeRel w
have : symmetrizeRel w ⊆ w := symmetrizeRel_subset_self w
calc symmetrizeRel w ○ symmetrizeRel w
_ ⊆ w ○ w := by mono
_ ⊆ s := w_sub
#align comp_symm_mem_uniformity_sets comp_symm_mem_uniformity_sets
theorem subset_comp_self_of_mem_uniformity {s : Set (α × α)} (h : s ∈ 𝓤 α) : s ⊆ s ○ s :=
subset_comp_self (refl_le_uniformity h)
#align subset_comp_self_of_mem_uniformity subset_comp_self_of_mem_uniformity
theorem comp_comp_symm_mem_uniformity_sets {s : Set (α × α)} (hs : s ∈ 𝓤 α) :
∃ t ∈ 𝓤 α, SymmetricRel t ∧ t ○ t ○ t ⊆ s := by
rcases comp_symm_mem_uniformity_sets hs with ⟨w, w_in, _, w_sub⟩
rcases comp_symm_mem_uniformity_sets w_in with ⟨t, t_in, t_symm, t_sub⟩
use t, t_in, t_symm
have : t ⊆ t ○ t := subset_comp_self_of_mem_uniformity t_in
-- Porting note: Needed the following `have`s to make `mono` work
have ht := Subset.refl t
have hw := Subset.refl w
calc
t ○ t ○ t ⊆ w ○ t := by mono
_ ⊆ w ○ (t ○ t) := by mono
_ ⊆ w ○ w := by mono
_ ⊆ s := w_sub
#align comp_comp_symm_mem_uniformity_sets comp_comp_symm_mem_uniformity_sets
def UniformSpace.ball (x : β) (V : Set (β × β)) : Set β :=
Prod.mk x ⁻¹' V
#align uniform_space.ball UniformSpace.ball
open UniformSpace (ball)
theorem UniformSpace.mem_ball_self (x : α) {V : Set (α × α)} (hV : V ∈ 𝓤 α) : x ∈ ball x V :=
refl_mem_uniformity hV
#align uniform_space.mem_ball_self UniformSpace.mem_ball_self
theorem mem_ball_comp {V W : Set (β × β)} {x y z} (h : y ∈ ball x V) (h' : z ∈ ball y W) :
z ∈ ball x (V ○ W) :=
prod_mk_mem_compRel h h'
#align mem_ball_comp mem_ball_comp
theorem ball_subset_of_comp_subset {V W : Set (β × β)} {x y} (h : x ∈ ball y W) (h' : W ○ W ⊆ V) :
ball x W ⊆ ball y V := fun _z z_in => h' (mem_ball_comp h z_in)
#align ball_subset_of_comp_subset ball_subset_of_comp_subset
theorem ball_mono {V W : Set (β × β)} (h : V ⊆ W) (x : β) : ball x V ⊆ ball x W :=
preimage_mono h
#align ball_mono ball_mono
theorem ball_inter (x : β) (V W : Set (β × β)) : ball x (V ∩ W) = ball x V ∩ ball x W :=
preimage_inter
#align ball_inter ball_inter
theorem ball_inter_left (x : β) (V W : Set (β × β)) : ball x (V ∩ W) ⊆ ball x V :=
ball_mono inter_subset_left x
#align ball_inter_left ball_inter_left
theorem ball_inter_right (x : β) (V W : Set (β × β)) : ball x (V ∩ W) ⊆ ball x W :=
ball_mono inter_subset_right x
#align ball_inter_right ball_inter_right
theorem mem_ball_symmetry {V : Set (β × β)} (hV : SymmetricRel V) {x y} :
x ∈ ball y V ↔ y ∈ ball x V :=
show (x, y) ∈ Prod.swap ⁻¹' V ↔ (x, y) ∈ V by
unfold SymmetricRel at hV
rw [hV]
#align mem_ball_symmetry mem_ball_symmetry
theorem ball_eq_of_symmetry {V : Set (β × β)} (hV : SymmetricRel V) {x} :
ball x V = { y | (y, x) ∈ V } := by
ext y
rw [mem_ball_symmetry hV]
exact Iff.rfl
#align ball_eq_of_symmetry ball_eq_of_symmetry
theorem mem_comp_of_mem_ball {V W : Set (β × β)} {x y z : β} (hV : SymmetricRel V)
(hx : x ∈ ball z V) (hy : y ∈ ball z W) : (x, y) ∈ V ○ W := by
rw [mem_ball_symmetry hV] at hx
exact ⟨z, hx, hy⟩
#align mem_comp_of_mem_ball mem_comp_of_mem_ball
theorem UniformSpace.isOpen_ball (x : α) {V : Set (α × α)} (hV : IsOpen V) : IsOpen (ball x V) :=
hV.preimage <| continuous_const.prod_mk continuous_id
#align uniform_space.is_open_ball UniformSpace.isOpen_ball
theorem UniformSpace.isClosed_ball (x : α) {V : Set (α × α)} (hV : IsClosed V) :
IsClosed (ball x V) :=
hV.preimage <| continuous_const.prod_mk continuous_id
theorem mem_comp_comp {V W M : Set (β × β)} (hW' : SymmetricRel W) {p : β × β} :
p ∈ V ○ M ○ W ↔ (ball p.1 V ×ˢ ball p.2 W ∩ M).Nonempty := by
cases' p with x y
constructor
· rintro ⟨z, ⟨w, hpw, hwz⟩, hzy⟩
exact ⟨(w, z), ⟨hpw, by rwa [mem_ball_symmetry hW']⟩, hwz⟩
· rintro ⟨⟨w, z⟩, ⟨w_in, z_in⟩, hwz⟩
rw [mem_ball_symmetry hW'] at z_in
exact ⟨z, ⟨w, w_in, hwz⟩, z_in⟩
#align mem_comp_comp mem_comp_comp
theorem mem_nhds_uniformity_iff_right {x : α} {s : Set α} :
s ∈ 𝓝 x ↔ { p : α × α | p.1 = x → p.2 ∈ s } ∈ 𝓤 α := by
simp only [nhds_eq_comap_uniformity, mem_comap_prod_mk]
#align mem_nhds_uniformity_iff_right mem_nhds_uniformity_iff_right
theorem mem_nhds_uniformity_iff_left {x : α} {s : Set α} :
s ∈ 𝓝 x ↔ { p : α × α | p.2 = x → p.1 ∈ s } ∈ 𝓤 α := by
rw [uniformity_eq_symm, mem_nhds_uniformity_iff_right]
simp only [map_def, mem_map, preimage_setOf_eq, Prod.snd_swap, Prod.fst_swap]
#align mem_nhds_uniformity_iff_left mem_nhds_uniformity_iff_left
theorem nhdsWithin_eq_comap_uniformity_of_mem {x : α} {T : Set α} (hx : x ∈ T) (S : Set α) :
𝓝[S] x = (𝓤 α ⊓ 𝓟 (T ×ˢ S)).comap (Prod.mk x) := by
simp [nhdsWithin, nhds_eq_comap_uniformity, hx]
theorem nhdsWithin_eq_comap_uniformity {x : α} (S : Set α) :
𝓝[S] x = (𝓤 α ⊓ 𝓟 (univ ×ˢ S)).comap (Prod.mk x) :=
nhdsWithin_eq_comap_uniformity_of_mem (mem_univ _) S
theorem isOpen_iff_ball_subset {s : Set α} : IsOpen s ↔ ∀ x ∈ s, ∃ V ∈ 𝓤 α, ball x V ⊆ s := by
simp_rw [isOpen_iff_mem_nhds, nhds_eq_comap_uniformity, mem_comap, ball]
#align is_open_iff_ball_subset isOpen_iff_ball_subset
theorem nhds_basis_uniformity' {p : ι → Prop} {s : ι → Set (α × α)} (h : (𝓤 α).HasBasis p s)
{x : α} : (𝓝 x).HasBasis p fun i => ball x (s i) := by
rw [nhds_eq_comap_uniformity]
exact h.comap (Prod.mk x)
#align nhds_basis_uniformity' nhds_basis_uniformity'
theorem nhds_basis_uniformity {p : ι → Prop} {s : ι → Set (α × α)} (h : (𝓤 α).HasBasis p s)
{x : α} : (𝓝 x).HasBasis p fun i => { y | (y, x) ∈ s i } := by
replace h := h.comap Prod.swap
rw [comap_swap_uniformity] at h
exact nhds_basis_uniformity' h
#align nhds_basis_uniformity nhds_basis_uniformity
theorem nhds_eq_comap_uniformity' {x : α} : 𝓝 x = (𝓤 α).comap fun y => (y, x) :=
(nhds_basis_uniformity (𝓤 α).basis_sets).eq_of_same_basis <| (𝓤 α).basis_sets.comap _
#align nhds_eq_comap_uniformity' nhds_eq_comap_uniformity'
theorem UniformSpace.mem_nhds_iff {x : α} {s : Set α} : s ∈ 𝓝 x ↔ ∃ V ∈ 𝓤 α, ball x V ⊆ s := by
rw [nhds_eq_comap_uniformity, mem_comap]
simp_rw [ball]
#align uniform_space.mem_nhds_iff UniformSpace.mem_nhds_iff
theorem UniformSpace.ball_mem_nhds (x : α) ⦃V : Set (α × α)⦄ (V_in : V ∈ 𝓤 α) : ball x V ∈ 𝓝 x := by
rw [UniformSpace.mem_nhds_iff]
exact ⟨V, V_in, Subset.rfl⟩
#align uniform_space.ball_mem_nhds UniformSpace.ball_mem_nhds
theorem UniformSpace.ball_mem_nhdsWithin {x : α} {S : Set α} ⦃V : Set (α × α)⦄ (x_in : x ∈ S)
(V_in : V ∈ 𝓤 α ⊓ 𝓟 (S ×ˢ S)) : ball x V ∈ 𝓝[S] x := by
rw [nhdsWithin_eq_comap_uniformity_of_mem x_in, mem_comap]
exact ⟨V, V_in, Subset.rfl⟩
theorem UniformSpace.mem_nhds_iff_symm {x : α} {s : Set α} :
s ∈ 𝓝 x ↔ ∃ V ∈ 𝓤 α, SymmetricRel V ∧ ball x V ⊆ s := by
rw [UniformSpace.mem_nhds_iff]
constructor
· rintro ⟨V, V_in, V_sub⟩
use symmetrizeRel V, symmetrize_mem_uniformity V_in, symmetric_symmetrizeRel V
exact Subset.trans (ball_mono (symmetrizeRel_subset_self V) x) V_sub
· rintro ⟨V, V_in, _, V_sub⟩
exact ⟨V, V_in, V_sub⟩
#align uniform_space.mem_nhds_iff_symm UniformSpace.mem_nhds_iff_symm
theorem UniformSpace.hasBasis_nhds (x : α) :
HasBasis (𝓝 x) (fun s : Set (α × α) => s ∈ 𝓤 α ∧ SymmetricRel s) fun s => ball x s :=
⟨fun t => by simp [UniformSpace.mem_nhds_iff_symm, and_assoc]⟩
#align uniform_space.has_basis_nhds UniformSpace.hasBasis_nhds
open UniformSpace
theorem UniformSpace.mem_closure_iff_symm_ball {s : Set α} {x} :
x ∈ closure s ↔ ∀ {V}, V ∈ 𝓤 α → SymmetricRel V → (s ∩ ball x V).Nonempty := by
simp [mem_closure_iff_nhds_basis (hasBasis_nhds x), Set.Nonempty]
#align uniform_space.mem_closure_iff_symm_ball UniformSpace.mem_closure_iff_symm_ball
theorem UniformSpace.mem_closure_iff_ball {s : Set α} {x} :
x ∈ closure s ↔ ∀ {V}, V ∈ 𝓤 α → (ball x V ∩ s).Nonempty := by
simp [mem_closure_iff_nhds_basis' (nhds_basis_uniformity' (𝓤 α).basis_sets)]
#align uniform_space.mem_closure_iff_ball UniformSpace.mem_closure_iff_ball
theorem UniformSpace.hasBasis_nhds_prod (x y : α) :
HasBasis (𝓝 (x, y)) (fun s => s ∈ 𝓤 α ∧ SymmetricRel s) fun s => ball x s ×ˢ ball y s := by
rw [nhds_prod_eq]
apply (hasBasis_nhds x).prod_same_index (hasBasis_nhds y)
rintro U V ⟨U_in, U_symm⟩ ⟨V_in, V_symm⟩
exact
⟨U ∩ V, ⟨(𝓤 α).inter_sets U_in V_in, U_symm.inter V_symm⟩, ball_inter_left x U V,
ball_inter_right y U V⟩
#align uniform_space.has_basis_nhds_prod UniformSpace.hasBasis_nhds_prod
theorem nhds_eq_uniformity {x : α} : 𝓝 x = (𝓤 α).lift' (ball x) :=
(nhds_basis_uniformity' (𝓤 α).basis_sets).eq_biInf
#align nhds_eq_uniformity nhds_eq_uniformity
theorem nhds_eq_uniformity' {x : α} : 𝓝 x = (𝓤 α).lift' fun s => { y | (y, x) ∈ s } :=
(nhds_basis_uniformity (𝓤 α).basis_sets).eq_biInf
#align nhds_eq_uniformity' nhds_eq_uniformity'
theorem mem_nhds_left (x : α) {s : Set (α × α)} (h : s ∈ 𝓤 α) : { y : α | (x, y) ∈ s } ∈ 𝓝 x :=
ball_mem_nhds x h
#align mem_nhds_left mem_nhds_left
theorem mem_nhds_right (y : α) {s : Set (α × α)} (h : s ∈ 𝓤 α) : { x : α | (x, y) ∈ s } ∈ 𝓝 y :=
mem_nhds_left _ (symm_le_uniformity h)
#align mem_nhds_right mem_nhds_right
theorem exists_mem_nhds_ball_subset_of_mem_nhds {a : α} {U : Set α} (h : U ∈ 𝓝 a) :
∃ V ∈ 𝓝 a, ∃ t ∈ 𝓤 α, ∀ a' ∈ V, UniformSpace.ball a' t ⊆ U :=
let ⟨t, ht, htU⟩ := comp_mem_uniformity_sets (mem_nhds_uniformity_iff_right.1 h)
⟨_, mem_nhds_left a ht, t, ht, fun a₁ h₁ a₂ h₂ => @htU (a, a₂) ⟨a₁, h₁, h₂⟩ rfl⟩
#align exists_mem_nhds_ball_subset_of_mem_nhds exists_mem_nhds_ball_subset_of_mem_nhds
theorem tendsto_right_nhds_uniformity {a : α} : Tendsto (fun a' => (a', a)) (𝓝 a) (𝓤 α) := fun _ =>
mem_nhds_right a
#align tendsto_right_nhds_uniformity tendsto_right_nhds_uniformity
theorem tendsto_left_nhds_uniformity {a : α} : Tendsto (fun a' => (a, a')) (𝓝 a) (𝓤 α) := fun _ =>
mem_nhds_left a
#align tendsto_left_nhds_uniformity tendsto_left_nhds_uniformity
theorem lift_nhds_left {x : α} {g : Set α → Filter β} (hg : Monotone g) :
(𝓝 x).lift g = (𝓤 α).lift fun s : Set (α × α) => g (ball x s) := by
rw [nhds_eq_comap_uniformity, comap_lift_eq2 hg]
simp_rw [ball, Function.comp]
#align lift_nhds_left lift_nhds_left
theorem lift_nhds_right {x : α} {g : Set α → Filter β} (hg : Monotone g) :
(𝓝 x).lift g = (𝓤 α).lift fun s : Set (α × α) => g { y | (y, x) ∈ s } := by
rw [nhds_eq_comap_uniformity', comap_lift_eq2 hg]
simp_rw [Function.comp, preimage]
#align lift_nhds_right lift_nhds_right
theorem nhds_nhds_eq_uniformity_uniformity_prod {a b : α} :
𝓝 a ×ˢ 𝓝 b = (𝓤 α).lift fun s : Set (α × α) =>
(𝓤 α).lift' fun t => { y : α | (y, a) ∈ s } ×ˢ { y : α | (b, y) ∈ t } := by
rw [nhds_eq_uniformity', nhds_eq_uniformity, prod_lift'_lift']
exacts [rfl, monotone_preimage, monotone_preimage]
#align nhds_nhds_eq_uniformity_uniformity_prod nhds_nhds_eq_uniformity_uniformity_prod
theorem nhds_eq_uniformity_prod {a b : α} :
𝓝 (a, b) =
(𝓤 α).lift' fun s : Set (α × α) => { y : α | (y, a) ∈ s } ×ˢ { y : α | (b, y) ∈ s } := by
rw [nhds_prod_eq, nhds_nhds_eq_uniformity_uniformity_prod, lift_lift'_same_eq_lift']
· exact fun s => monotone_const.set_prod monotone_preimage
· refine fun t => Monotone.set_prod ?_ monotone_const
exact monotone_preimage (f := fun y => (y, a))
#align nhds_eq_uniformity_prod nhds_eq_uniformity_prod
theorem nhdset_of_mem_uniformity {d : Set (α × α)} (s : Set (α × α)) (hd : d ∈ 𝓤 α) :
∃ t : Set (α × α), IsOpen t ∧ s ⊆ t ∧
t ⊆ { p | ∃ x y, (p.1, x) ∈ d ∧ (x, y) ∈ s ∧ (y, p.2) ∈ d } := by
let cl_d := { p : α × α | ∃ x y, (p.1, x) ∈ d ∧ (x, y) ∈ s ∧ (y, p.2) ∈ d }
have : ∀ p ∈ s, ∃ t, t ⊆ cl_d ∧ IsOpen t ∧ p ∈ t := fun ⟨x, y⟩ hp =>
mem_nhds_iff.mp <|
show cl_d ∈ 𝓝 (x, y) by
rw [nhds_eq_uniformity_prod, mem_lift'_sets]
· exact ⟨d, hd, fun ⟨a, b⟩ ⟨ha, hb⟩ => ⟨x, y, ha, hp, hb⟩⟩
· exact fun _ _ h _ h' => ⟨h h'.1, h h'.2⟩
choose t ht using this
exact ⟨(⋃ p : α × α, ⋃ h : p ∈ s, t p h : Set (α × α)),
isOpen_iUnion fun p : α × α => isOpen_iUnion fun hp => (ht p hp).right.left,
fun ⟨a, b⟩ hp => by
simp only [mem_iUnion, Prod.exists]; exact ⟨a, b, hp, (ht (a, b) hp).right.right⟩,
iUnion_subset fun p => iUnion_subset fun hp => (ht p hp).left⟩
#align nhdset_of_mem_uniformity nhdset_of_mem_uniformity
theorem nhds_le_uniformity (x : α) : 𝓝 (x, x) ≤ 𝓤 α := by
intro V V_in
rcases comp_symm_mem_uniformity_sets V_in with ⟨w, w_in, w_symm, w_sub⟩
have : ball x w ×ˢ ball x w ∈ 𝓝 (x, x) := by
rw [nhds_prod_eq]
exact prod_mem_prod (ball_mem_nhds x w_in) (ball_mem_nhds x w_in)
apply mem_of_superset this
rintro ⟨u, v⟩ ⟨u_in, v_in⟩
exact w_sub (mem_comp_of_mem_ball w_symm u_in v_in)
#align nhds_le_uniformity nhds_le_uniformity
theorem iSup_nhds_le_uniformity : ⨆ x : α, 𝓝 (x, x) ≤ 𝓤 α :=
iSup_le nhds_le_uniformity
#align supr_nhds_le_uniformity iSup_nhds_le_uniformity
theorem nhdsSet_diagonal_le_uniformity : 𝓝ˢ (diagonal α) ≤ 𝓤 α :=
(nhdsSet_diagonal α).trans_le iSup_nhds_le_uniformity
#align nhds_set_diagonal_le_uniformity nhdsSet_diagonal_le_uniformity
theorem closure_eq_uniformity (s : Set <| α × α) :
closure s = ⋂ V ∈ { V | V ∈ 𝓤 α ∧ SymmetricRel V }, V ○ s ○ V := by
ext ⟨x, y⟩
simp (config := { contextual := true }) only
[mem_closure_iff_nhds_basis (UniformSpace.hasBasis_nhds_prod x y), mem_iInter, mem_setOf_eq,
and_imp, mem_comp_comp, exists_prop, ← mem_inter_iff, inter_comm, Set.Nonempty]
#align closure_eq_uniformity closure_eq_uniformity
| Mathlib/Topology/UniformSpace/Basic.lean | 926 | 935 | theorem uniformity_hasBasis_closed :
HasBasis (𝓤 α) (fun V : Set (α × α) => V ∈ 𝓤 α ∧ IsClosed V) id := by |
refine Filter.hasBasis_self.2 fun t h => ?_
rcases comp_comp_symm_mem_uniformity_sets h with ⟨w, w_in, w_symm, r⟩
refine ⟨closure w, mem_of_superset w_in subset_closure, isClosed_closure, ?_⟩
refine Subset.trans ?_ r
rw [closure_eq_uniformity]
apply iInter_subset_of_subset
apply iInter_subset
exact ⟨w_in, w_symm⟩
|
import Mathlib.MeasureTheory.Measure.Content
import Mathlib.MeasureTheory.Group.Prod
import Mathlib.Topology.Algebra.Group.Compact
#align_import measure_theory.measure.haar.basic from "leanprover-community/mathlib"@"fd5edc43dc4f10b85abfe544b88f82cf13c5f844"
noncomputable section
open Set Inv Function TopologicalSpace MeasurableSpace
open scoped NNReal Classical ENNReal Pointwise Topology
namespace MeasureTheory
namespace Measure
section Group
variable {G : Type*} [Group G]
namespace haar
-- Porting note: Even in `noncomputable section`, a definition with `to_additive` require
-- `noncomputable` to generate an additive definition.
-- Please refer to leanprover/lean4#2077.
@[to_additive addIndex "additive version of `MeasureTheory.Measure.haar.index`"]
noncomputable def index (K V : Set G) : ℕ :=
sInf <| Finset.card '' { t : Finset G | K ⊆ ⋃ g ∈ t, (fun h => g * h) ⁻¹' V }
#align measure_theory.measure.haar.index MeasureTheory.Measure.haar.index
#align measure_theory.measure.haar.add_index MeasureTheory.Measure.haar.addIndex
@[to_additive addIndex_empty]
theorem index_empty {V : Set G} : index ∅ V = 0 := by
simp only [index, Nat.sInf_eq_zero]; left; use ∅
simp only [Finset.card_empty, empty_subset, mem_setOf_eq, eq_self_iff_true, and_self_iff]
#align measure_theory.measure.haar.index_empty MeasureTheory.Measure.haar.index_empty
#align measure_theory.measure.haar.add_index_empty MeasureTheory.Measure.haar.addIndex_empty
variable [TopologicalSpace G]
@[to_additive "additive version of `MeasureTheory.Measure.haar.prehaar`"]
noncomputable def prehaar (K₀ U : Set G) (K : Compacts G) : ℝ :=
(index (K : Set G) U : ℝ) / index K₀ U
#align measure_theory.measure.haar.prehaar MeasureTheory.Measure.haar.prehaar
#align measure_theory.measure.haar.add_prehaar MeasureTheory.Measure.haar.addPrehaar
@[to_additive]
theorem prehaar_empty (K₀ : PositiveCompacts G) {U : Set G} : prehaar (K₀ : Set G) U ⊥ = 0 := by
rw [prehaar, Compacts.coe_bot, index_empty, Nat.cast_zero, zero_div]
#align measure_theory.measure.haar.prehaar_empty MeasureTheory.Measure.haar.prehaar_empty
#align measure_theory.measure.haar.add_prehaar_empty MeasureTheory.Measure.haar.addPrehaar_empty
@[to_additive]
| Mathlib/MeasureTheory/Measure/Haar/Basic.lean | 128 | 129 | theorem prehaar_nonneg (K₀ : PositiveCompacts G) {U : Set G} (K : Compacts G) :
0 ≤ prehaar (K₀ : Set G) U K := by | apply div_nonneg <;> norm_cast <;> apply zero_le
|
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
| Mathlib/Topology/Basic.lean | 209 | 212 | 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
|
import Mathlib.Data.Finsupp.Encodable
import Mathlib.LinearAlgebra.Pi
import Mathlib.LinearAlgebra.Span
import Mathlib.Data.Set.Countable
#align_import linear_algebra.finsupp from "leanprover-community/mathlib"@"9d684a893c52e1d6692a504a118bfccbae04feeb"
noncomputable section
open Set LinearMap Submodule
namespace Finsupp
variable {α : Type*} {M : Type*} {N : Type*} {P : Type*} {R : Type*} {S : Type*}
variable [Semiring R] [Semiring S] [AddCommMonoid M] [Module R M]
variable [AddCommMonoid N] [Module R N]
variable [AddCommMonoid P] [Module R P]
def lsingle (a : α) : M →ₗ[R] α →₀ M :=
{ Finsupp.singleAddHom a with map_smul' := fun _ _ => (smul_single _ _ _).symm }
#align finsupp.lsingle Finsupp.lsingle
theorem lhom_ext ⦃φ ψ : (α →₀ M) →ₗ[R] N⦄ (h : ∀ a b, φ (single a b) = ψ (single a b)) : φ = ψ :=
LinearMap.toAddMonoidHom_injective <| addHom_ext h
#align finsupp.lhom_ext Finsupp.lhom_ext
-- Porting note: The priority should be higher than `LinearMap.ext`.
@[ext high]
theorem lhom_ext' ⦃φ ψ : (α →₀ M) →ₗ[R] N⦄ (h : ∀ a, φ.comp (lsingle a) = ψ.comp (lsingle a)) :
φ = ψ :=
lhom_ext fun a => LinearMap.congr_fun (h a)
#align finsupp.lhom_ext' Finsupp.lhom_ext'
def lapply (a : α) : (α →₀ M) →ₗ[R] M :=
{ Finsupp.applyAddHom a with map_smul' := fun _ _ => rfl }
#align finsupp.lapply Finsupp.lapply
@[simps]
def lcoeFun : (α →₀ M) →ₗ[R] α → M where
toFun := (⇑)
map_add' x y := by
ext
simp
map_smul' x y := by
ext
simp
#align finsupp.lcoe_fun Finsupp.lcoeFun
@[simp]
theorem lsingle_apply (a : α) (b : M) : (lsingle a : M →ₗ[R] α →₀ M) b = single a b :=
rfl
#align finsupp.lsingle_apply Finsupp.lsingle_apply
@[simp]
theorem lapply_apply (a : α) (f : α →₀ M) : (lapply a : (α →₀ M) →ₗ[R] M) f = f a :=
rfl
#align finsupp.lapply_apply Finsupp.lapply_apply
@[simp]
theorem lapply_comp_lsingle_same (a : α) : lapply a ∘ₗ lsingle a = (.id : M →ₗ[R] M) := by ext; simp
@[simp]
theorem lapply_comp_lsingle_of_ne (a a' : α) (h : a ≠ a') :
lapply a ∘ₗ lsingle a' = (0 : M →ₗ[R] M) := by ext; simp [h.symm]
@[simp]
theorem ker_lsingle (a : α) : ker (lsingle a : M →ₗ[R] α →₀ M) = ⊥ :=
ker_eq_bot_of_injective (single_injective a)
#align finsupp.ker_lsingle Finsupp.ker_lsingle
| Mathlib/LinearAlgebra/Finsupp.lean | 245 | 252 | theorem lsingle_range_le_ker_lapply (s t : Set α) (h : Disjoint s t) :
⨆ a ∈ s, LinearMap.range (lsingle a : M →ₗ[R] α →₀ M) ≤
⨅ a ∈ t, ker (lapply a : (α →₀ M) →ₗ[R] M) := by |
refine iSup_le fun a₁ => iSup_le fun h₁ => range_le_iff_comap.2 ?_
simp only [(ker_comp _ _).symm, eq_top_iff, SetLike.le_def, mem_ker, comap_iInf, mem_iInf]
intro b _ a₂ h₂
have : a₁ ≠ a₂ := fun eq => h.le_bot ⟨h₁, eq.symm ▸ h₂⟩
exact single_eq_of_ne this
|
import Mathlib.Algebra.Polynomial.Derivative
import Mathlib.Tactic.LinearCombination
#align_import ring_theory.polynomial.chebyshev from "leanprover-community/mathlib"@"d774451114d6045faeb6751c396bea1eb9058946"
namespace Polynomial.Chebyshev
set_option linter.uppercaseLean3 false -- `T` `U` `X`
open Polynomial
variable (R S : Type*) [CommRing R] [CommRing S]
-- Well-founded definitions are now irreducible by default;
-- as this was implemented before this change,
-- we just set it back to semireducible to avoid needing to change any proofs.
@[semireducible] noncomputable def T : ℤ → R[X]
| 0 => 1
| 1 => X
| (n : ℕ) + 2 => 2 * X * T (n + 1) - T n
| -((n : ℕ) + 1) => 2 * X * T (-n) - T (-n + 1)
termination_by n => Int.natAbs n + Int.natAbs (n - 1)
#align polynomial.chebyshev.T Polynomial.Chebyshev.T
@[elab_as_elim]
protected theorem induct (motive : ℤ → Prop)
(zero : motive 0)
(one : motive 1)
(add_two : ∀ (n : ℕ), motive (↑n + 1) → motive ↑n → motive (↑n + 2))
(neg_add_one : ∀ (n : ℕ), motive (-↑n) → motive (-↑n + 1) → motive (-↑n - 1)) :
∀ (a : ℤ), motive a :=
T.induct Unit motive zero one add_two fun n hn hnm => by
simpa only [Int.negSucc_eq, neg_add] using neg_add_one n hn hnm
@[simp]
theorem T_add_two : ∀ n, T R (n + 2) = 2 * X * T R (n + 1) - T R n
| (k : ℕ) => T.eq_3 R k
| -(k + 1 : ℕ) => by linear_combination (norm := (simp [Int.negSucc_eq]; ring_nf)) T.eq_4 R k
#align polynomial.chebyshev.T_add_two Polynomial.Chebyshev.T_add_two
theorem T_add_one (n : ℤ) : T R (n + 1) = 2 * X * T R n - T R (n - 1) := by
linear_combination (norm := ring_nf) T_add_two R (n - 1)
theorem T_sub_two (n : ℤ) : T R (n - 2) = 2 * X * T R (n - 1) - T R n := by
linear_combination (norm := ring_nf) T_add_two R (n - 2)
theorem T_sub_one (n : ℤ) : T R (n - 1) = 2 * X * T R n - T R (n + 1) := by
linear_combination (norm := ring_nf) T_add_two R (n - 1)
theorem T_eq (n : ℤ) : T R n = 2 * X * T R (n - 1) - T R (n - 2) := by
linear_combination (norm := ring_nf) T_add_two R (n - 2)
#align polynomial.chebyshev.T_of_two_le Polynomial.Chebyshev.T_eq
@[simp]
theorem T_zero : T R 0 = 1 := rfl
#align polynomial.chebyshev.T_zero Polynomial.Chebyshev.T_zero
@[simp]
theorem T_one : T R 1 = X := rfl
#align polynomial.chebyshev.T_one Polynomial.Chebyshev.T_one
theorem T_neg_one : T R (-1) = X := (by ring : 2 * X * 1 - X = X)
theorem T_two : T R 2 = 2 * X ^ 2 - 1 := by
simpa [pow_two, mul_assoc] using T_add_two R 0
#align polynomial.chebyshev.T_two Polynomial.Chebyshev.T_two
@[simp]
theorem T_neg (n : ℤ) : T R (-n) = T R n := by
induction n using Polynomial.Chebyshev.induct with
| zero => rfl
| one => show 2 * X * 1 - X = X; ring
| add_two n ih1 ih2 =>
have h₁ := T_add_two R n
have h₂ := T_sub_two R (-n)
linear_combination (norm := ring_nf) (2 * (X:R[X])) * ih1 - ih2 - h₁ + h₂
| neg_add_one n ih1 ih2 =>
have h₁ := T_add_one R n
have h₂ := T_sub_one R (-n)
linear_combination (norm := ring_nf) (2 * (X:R[X])) * ih1 - ih2 + h₁ - h₂
theorem T_natAbs (n : ℤ) : T R n.natAbs = T R n := by
obtain h | h := Int.natAbs_eq n <;> nth_rw 2 [h]; simp
theorem T_neg_two : T R (-2) = 2 * X ^ 2 - 1 := by simp [T_two]
-- Well-founded definitions are now irreducible by default;
-- as this was implemented before this change,
-- we just set it back to semireducible to avoid needing to change any proofs.
@[semireducible] noncomputable def U : ℤ → R[X]
| 0 => 1
| 1 => 2 * X
| (n : ℕ) + 2 => 2 * X * U (n + 1) - U n
| -((n : ℕ) + 1) => 2 * X * U (-n) - U (-n + 1)
termination_by n => Int.natAbs n + Int.natAbs (n - 1)
#align polynomial.chebyshev.U Polynomial.Chebyshev.U
@[simp]
theorem U_add_two : ∀ n, U R (n + 2) = 2 * X * U R (n + 1) - U R n
| (k : ℕ) => U.eq_3 R k
| -(k + 1 : ℕ) => by linear_combination (norm := (simp [Int.negSucc_eq]; ring_nf)) U.eq_4 R k
theorem U_add_one (n : ℤ) : U R (n + 1) = 2 * X * U R n - U R (n - 1) := by
linear_combination (norm := ring_nf) U_add_two R (n - 1)
theorem U_sub_two (n : ℤ) : U R (n - 2) = 2 * X * U R (n - 1) - U R n := by
linear_combination (norm := ring_nf) U_add_two R (n - 2)
theorem U_sub_one (n : ℤ) : U R (n - 1) = 2 * X * U R n - U R (n + 1) := by
linear_combination (norm := ring_nf) U_add_two R (n - 1)
theorem U_eq (n : ℤ) : U R n = 2 * X * U R (n - 1) - U R (n - 2) := by
linear_combination (norm := ring_nf) U_add_two R (n - 2)
#align polynomial.chebyshev.U_of_two_le Polynomial.Chebyshev.U_eq
@[simp]
theorem U_zero : U R 0 = 1 := rfl
#align polynomial.chebyshev.U_zero Polynomial.Chebyshev.U_zero
@[simp]
theorem U_one : U R 1 = 2 * X := rfl
#align polynomial.chebyshev.U_one Polynomial.Chebyshev.U_one
@[simp]
theorem U_neg_one : U R (-1) = 0 := by simpa using U_sub_one R 0
theorem U_two : U R 2 = 4 * X ^ 2 - 1 := by
have := U_add_two R 0
simp only [zero_add, U_one, U_zero] at this
linear_combination this
#align polynomial.chebyshev.U_two Polynomial.Chebyshev.U_two
@[simp]
theorem U_neg_two : U R (-2) = -1 := by
simpa [zero_sub, Int.reduceNeg, U_neg_one, mul_zero, U_zero] using U_sub_two R 0
theorem U_neg_sub_one (n : ℤ) : U R (-n - 1) = -U R (n - 1) := by
induction n using Polynomial.Chebyshev.induct with
| zero => simp
| one => simp
| add_two n ih1 ih2 =>
have h₁ := U_add_one R n
have h₂ := U_sub_two R (-n - 1)
linear_combination (norm := ring_nf) 2 * (X:R[X]) * ih1 - ih2 + h₁ + h₂
| neg_add_one n ih1 ih2 =>
have h₁ := U_eq R n
have h₂ := U_sub_two R (-n)
linear_combination (norm := ring_nf) 2 * (X:R[X]) * ih1 - ih2 + h₁ + h₂
theorem U_neg (n : ℤ) : U R (-n) = -U R (n - 2) := by simpa [sub_sub] using U_neg_sub_one R (n - 1)
@[simp]
theorem U_neg_sub_two (n : ℤ) : U R (-n - 2) = -U R n := by
simpa [sub_eq_add_neg, add_comm] using U_neg R (n + 2)
theorem U_eq_X_mul_U_add_T (n : ℤ) : U R (n + 1) = X * U R n + T R (n + 1) := by
induction n using Polynomial.Chebyshev.induct with
| zero => simp [two_mul]
| one => simp [U_two, T_two]; ring
| add_two n ih1 ih2 =>
have h₁ := U_add_two R (n + 1)
have h₂ := U_add_two R n
have h₃ := T_add_two R (n + 1)
linear_combination (norm := ring_nf) -h₃ - (X:R[X]) * h₂ + h₁ + 2 * (X:R[X]) * ih1 - ih2
| neg_add_one n ih1 ih2 =>
have h₁ := U_add_two R (-n - 1)
have h₂ := U_add_two R (-n)
have h₃ := T_add_two R (-n)
linear_combination (norm := ring_nf) -h₃ + h₂ - (X:R[X]) * h₁ - ih2 + 2 * (X:R[X]) * ih1
#align polynomial.chebyshev.U_eq_X_mul_U_add_T Polynomial.Chebyshev.U_eq_X_mul_U_add_T
theorem T_eq_U_sub_X_mul_U (n : ℤ) : T R n = U R n - X * U R (n - 1) := by
linear_combination (norm := ring_nf) - U_eq_X_mul_U_add_T R (n - 1)
#align polynomial.chebyshev.T_eq_U_sub_X_mul_U Polynomial.Chebyshev.T_eq_U_sub_X_mul_U
| Mathlib/RingTheory/Polynomial/Chebyshev.lean | 226 | 230 | theorem T_eq_X_mul_T_sub_pol_U (n : ℤ) : T R (n + 2) = X * T R (n + 1) - (1 - X ^ 2) * U R n := by |
have h₁ := U_eq_X_mul_U_add_T R n
have h₂ := U_eq_X_mul_U_add_T R (n + 1)
have h₃ := U_add_two R n
linear_combination (norm := ring_nf) h₃ - h₂ + (X:R[X]) * h₁
|
import Mathlib.Data.Finsupp.Multiset
import Mathlib.Data.Nat.GCD.BigOperators
import Mathlib.Data.Nat.PrimeFin
import Mathlib.NumberTheory.Padics.PadicVal
import Mathlib.Order.Interval.Finset.Nat
#align_import data.nat.factorization.basic from "leanprover-community/mathlib"@"f694c7dead66f5d4c80f446c796a5aad14707f0e"
-- Workaround for lean4#2038
attribute [-instance] instBEqNat
open Nat Finset List Finsupp
namespace Nat
variable {a b m n p : ℕ}
def factorization (n : ℕ) : ℕ →₀ ℕ where
support := n.primeFactors
toFun p := if p.Prime then padicValNat p n else 0
mem_support_toFun := by simp [not_or]; aesop
#align nat.factorization Nat.factorization
@[simp] lemma support_factorization (n : ℕ) : (factorization n).support = n.primeFactors := rfl
theorem factorization_def (n : ℕ) {p : ℕ} (pp : p.Prime) : n.factorization p = padicValNat p n := by
simpa [factorization] using absurd pp
#align nat.factorization_def Nat.factorization_def
@[simp]
theorem factors_count_eq {n p : ℕ} : n.factors.count p = n.factorization p := by
rcases n.eq_zero_or_pos with (rfl | hn0)
· simp [factorization, count]
if pp : p.Prime then ?_ else
rw [count_eq_zero_of_not_mem (mt prime_of_mem_factors pp)]
simp [factorization, pp]
simp only [factorization_def _ pp]
apply _root_.le_antisymm
· rw [le_padicValNat_iff_replicate_subperm_factors pp hn0.ne']
exact List.le_count_iff_replicate_sublist.mp le_rfl |>.subperm
· rw [← lt_add_one_iff, lt_iff_not_ge, ge_iff_le,
le_padicValNat_iff_replicate_subperm_factors pp hn0.ne']
intro h
have := h.count_le p
simp at this
#align nat.factors_count_eq Nat.factors_count_eq
theorem factorization_eq_factors_multiset (n : ℕ) :
n.factorization = Multiset.toFinsupp (n.factors : Multiset ℕ) := by
ext p
simp
#align nat.factorization_eq_factors_multiset Nat.factorization_eq_factors_multiset
theorem multiplicity_eq_factorization {n p : ℕ} (pp : p.Prime) (hn : n ≠ 0) :
multiplicity p n = n.factorization p := by
simp [factorization, pp, padicValNat_def' pp.ne_one hn.bot_lt]
#align nat.multiplicity_eq_factorization Nat.multiplicity_eq_factorization
@[simp]
theorem factorization_prod_pow_eq_self {n : ℕ} (hn : n ≠ 0) : n.factorization.prod (· ^ ·) = n := by
rw [factorization_eq_factors_multiset n]
simp only [← prod_toMultiset, factorization, Multiset.prod_coe, Multiset.toFinsupp_toMultiset]
exact prod_factors hn
#align nat.factorization_prod_pow_eq_self Nat.factorization_prod_pow_eq_self
theorem eq_of_factorization_eq {a b : ℕ} (ha : a ≠ 0) (hb : b ≠ 0)
(h : ∀ p : ℕ, a.factorization p = b.factorization p) : a = b :=
eq_of_perm_factors ha hb (by simpa only [List.perm_iff_count, factors_count_eq] using h)
#align nat.eq_of_factorization_eq Nat.eq_of_factorization_eq
theorem factorization_inj : Set.InjOn factorization { x : ℕ | x ≠ 0 } := fun a ha b hb h =>
eq_of_factorization_eq ha hb fun p => by simp [h]
#align nat.factorization_inj Nat.factorization_inj
@[simp]
theorem factorization_zero : factorization 0 = 0 := by ext; simp [factorization]
#align nat.factorization_zero Nat.factorization_zero
@[simp]
theorem factorization_one : factorization 1 = 0 := by ext; simp [factorization]
#align nat.factorization_one Nat.factorization_one
#noalign nat.support_factorization
#align nat.factor_iff_mem_factorization Nat.mem_primeFactors_iff_mem_factors
#align nat.prime_of_mem_factorization Nat.prime_of_mem_primeFactors
#align nat.pos_of_mem_factorization Nat.pos_of_mem_primeFactors
#align nat.le_of_mem_factorization Nat.le_of_mem_primeFactors
theorem factorization_eq_zero_iff (n p : ℕ) :
n.factorization p = 0 ↔ ¬p.Prime ∨ ¬p ∣ n ∨ n = 0 := by
simp_rw [← not_mem_support_iff, support_factorization, mem_primeFactors, not_and_or, not_ne_iff]
#align nat.factorization_eq_zero_iff Nat.factorization_eq_zero_iff
@[simp]
theorem factorization_eq_zero_of_non_prime (n : ℕ) {p : ℕ} (hp : ¬p.Prime) :
n.factorization p = 0 := by simp [factorization_eq_zero_iff, hp]
#align nat.factorization_eq_zero_of_non_prime Nat.factorization_eq_zero_of_non_prime
theorem factorization_eq_zero_of_not_dvd {n p : ℕ} (h : ¬p ∣ n) : n.factorization p = 0 := by
simp [factorization_eq_zero_iff, h]
#align nat.factorization_eq_zero_of_not_dvd Nat.factorization_eq_zero_of_not_dvd
theorem factorization_eq_zero_of_lt {n p : ℕ} (h : n < p) : n.factorization p = 0 :=
Finsupp.not_mem_support_iff.mp (mt le_of_mem_primeFactors (not_le_of_lt h))
#align nat.factorization_eq_zero_of_lt Nat.factorization_eq_zero_of_lt
@[simp]
theorem factorization_zero_right (n : ℕ) : n.factorization 0 = 0 :=
factorization_eq_zero_of_non_prime _ not_prime_zero
#align nat.factorization_zero_right Nat.factorization_zero_right
@[simp]
theorem factorization_one_right (n : ℕ) : n.factorization 1 = 0 :=
factorization_eq_zero_of_non_prime _ not_prime_one
#align nat.factorization_one_right Nat.factorization_one_right
theorem dvd_of_factorization_pos {n p : ℕ} (hn : n.factorization p ≠ 0) : p ∣ n :=
dvd_of_mem_factors <| mem_primeFactors_iff_mem_factors.1 <| mem_support_iff.2 hn
#align nat.dvd_of_factorization_pos Nat.dvd_of_factorization_pos
theorem Prime.factorization_pos_of_dvd {n p : ℕ} (hp : p.Prime) (hn : n ≠ 0) (h : p ∣ n) :
0 < n.factorization p := by
rwa [← factors_count_eq, count_pos_iff_mem, mem_factors_iff_dvd hn hp]
#align nat.prime.factorization_pos_of_dvd Nat.Prime.factorization_pos_of_dvd
theorem factorization_eq_zero_of_remainder {p r : ℕ} (i : ℕ) (hr : ¬p ∣ r) :
(p * i + r).factorization p = 0 := by
apply factorization_eq_zero_of_not_dvd
rwa [← Nat.dvd_add_iff_right (Dvd.intro i rfl)]
#align nat.factorization_eq_zero_of_remainder Nat.factorization_eq_zero_of_remainder
theorem factorization_eq_zero_iff_remainder {p r : ℕ} (i : ℕ) (pp : p.Prime) (hr0 : r ≠ 0) :
¬p ∣ r ↔ (p * i + r).factorization p = 0 := by
refine ⟨factorization_eq_zero_of_remainder i, fun h => ?_⟩
rw [factorization_eq_zero_iff] at h
contrapose! h
refine ⟨pp, ?_, ?_⟩
· rwa [← Nat.dvd_add_iff_right (dvd_mul_right p i)]
· contrapose! hr0
exact (add_eq_zero_iff.mp hr0).2
#align nat.factorization_eq_zero_iff_remainder Nat.factorization_eq_zero_iff_remainder
theorem factorization_eq_zero_iff' (n : ℕ) : n.factorization = 0 ↔ n = 0 ∨ n = 1 := by
rw [factorization_eq_factors_multiset n]
simp [factorization, AddEquiv.map_eq_zero_iff, Multiset.coe_eq_zero]
#align nat.factorization_eq_zero_iff' Nat.factorization_eq_zero_iff'
@[simp]
theorem factorization_mul {a b : ℕ} (ha : a ≠ 0) (hb : b ≠ 0) :
(a * b).factorization = a.factorization + b.factorization := by
ext p
simp only [add_apply, ← factors_count_eq, perm_iff_count.mp (perm_factors_mul ha hb) p,
count_append]
#align nat.factorization_mul Nat.factorization_mul
#align nat.factorization_mul_support Nat.primeFactors_mul
lemma prod_factorization_eq_prod_primeFactors {β : Type*} [CommMonoid β] (f : ℕ → ℕ → β) :
n.factorization.prod f = ∏ p ∈ n.primeFactors, f p (n.factorization p) := rfl
#align nat.prod_factorization_eq_prod_factors Nat.prod_factorization_eq_prod_primeFactors
lemma prod_primeFactors_prod_factorization {β : Type*} [CommMonoid β] (f : ℕ → β) :
∏ p ∈ n.primeFactors, f p = n.factorization.prod (fun p _ ↦ f p) := rfl
theorem factorization_prod {α : Type*} {S : Finset α} {g : α → ℕ} (hS : ∀ x ∈ S, g x ≠ 0) :
(S.prod g).factorization = S.sum fun x => (g x).factorization := by
classical
ext p
refine Finset.induction_on' S ?_ ?_
· simp
· intro x T hxS hTS hxT IH
have hT : T.prod g ≠ 0 := prod_ne_zero_iff.mpr fun x hx => hS x (hTS hx)
simp [prod_insert hxT, sum_insert hxT, ← IH, factorization_mul (hS x hxS) hT]
#align nat.factorization_prod Nat.factorization_prod
@[simp]
theorem factorization_pow (n k : ℕ) : factorization (n ^ k) = k • n.factorization := by
induction' k with k ih; · simp
rcases eq_or_ne n 0 with (rfl | hn)
· simp
rw [Nat.pow_succ, mul_comm, factorization_mul hn (pow_ne_zero _ hn), ih,
add_smul, one_smul, add_comm]
#align nat.factorization_pow Nat.factorization_pow
@[simp]
protected theorem Prime.factorization {p : ℕ} (hp : Prime p) : p.factorization = single p 1 := by
ext q
rw [← factors_count_eq, factors_prime hp, single_apply, count_singleton', if_congr eq_comm] <;>
rfl
#align nat.prime.factorization Nat.Prime.factorization
@[simp]
theorem Prime.factorization_self {p : ℕ} (hp : Prime p) : p.factorization p = 1 := by simp [hp]
#align nat.prime.factorization_self Nat.Prime.factorization_self
| Mathlib/Data/Nat/Factorization/Basic.lean | 257 | 258 | theorem Prime.factorization_pow {p k : ℕ} (hp : Prime p) : (p ^ k).factorization = single p k := by |
simp [hp]
|
import Mathlib.Algebra.Polynomial.Expand
import Mathlib.Algebra.Polynomial.Splits
import Mathlib.Algebra.Squarefree.Basic
import Mathlib.FieldTheory.Minpoly.Field
import Mathlib.RingTheory.PowerBasis
#align_import field_theory.separable from "leanprover-community/mathlib"@"92ca63f0fb391a9ca5f22d2409a6080e786d99f7"
universe u v w
open scoped Classical
open Polynomial Finset
namespace Polynomial
section CommSemiring
variable {R : Type u} [CommSemiring R] {S : Type v} [CommSemiring S]
def Separable (f : R[X]) : Prop :=
IsCoprime f (derivative f)
#align polynomial.separable Polynomial.Separable
theorem separable_def (f : R[X]) : f.Separable ↔ IsCoprime f (derivative f) :=
Iff.rfl
#align polynomial.separable_def Polynomial.separable_def
theorem separable_def' (f : R[X]) : f.Separable ↔ ∃ a b : R[X], a * f + b * (derivative f) = 1 :=
Iff.rfl
#align polynomial.separable_def' Polynomial.separable_def'
theorem not_separable_zero [Nontrivial R] : ¬Separable (0 : R[X]) := by
rintro ⟨x, y, h⟩
simp only [derivative_zero, mul_zero, add_zero, zero_ne_one] at h
#align polynomial.not_separable_zero Polynomial.not_separable_zero
theorem Separable.ne_zero [Nontrivial R] {f : R[X]} (h : f.Separable) : f ≠ 0 :=
(not_separable_zero <| · ▸ h)
@[simp]
theorem separable_one : (1 : R[X]).Separable :=
isCoprime_one_left
#align polynomial.separable_one Polynomial.separable_one
@[nontriviality]
theorem separable_of_subsingleton [Subsingleton R] (f : R[X]) : f.Separable := by
simp [Separable, IsCoprime, eq_iff_true_of_subsingleton]
#align polynomial.separable_of_subsingleton Polynomial.separable_of_subsingleton
theorem separable_X_add_C (a : R) : (X + C a).Separable := by
rw [separable_def, derivative_add, derivative_X, derivative_C, add_zero]
exact isCoprime_one_right
set_option linter.uppercaseLean3 false in
#align polynomial.separable_X_add_C Polynomial.separable_X_add_C
theorem separable_X : (X : R[X]).Separable := by
rw [separable_def, derivative_X]
exact isCoprime_one_right
set_option linter.uppercaseLean3 false in
#align polynomial.separable_X Polynomial.separable_X
theorem separable_C (r : R) : (C r).Separable ↔ IsUnit r := by
rw [separable_def, derivative_C, isCoprime_zero_right, isUnit_C]
set_option linter.uppercaseLean3 false in
#align polynomial.separable_C Polynomial.separable_C
theorem Separable.of_mul_left {f g : R[X]} (h : (f * g).Separable) : f.Separable := by
have := h.of_mul_left_left; rw [derivative_mul] at this
exact IsCoprime.of_mul_right_left (IsCoprime.of_add_mul_left_right this)
#align polynomial.separable.of_mul_left Polynomial.Separable.of_mul_left
theorem Separable.of_mul_right {f g : R[X]} (h : (f * g).Separable) : g.Separable := by
rw [mul_comm] at h
exact h.of_mul_left
#align polynomial.separable.of_mul_right Polynomial.Separable.of_mul_right
theorem Separable.of_dvd {f g : R[X]} (hf : f.Separable) (hfg : g ∣ f) : g.Separable := by
rcases hfg with ⟨f', rfl⟩
exact Separable.of_mul_left hf
#align polynomial.separable.of_dvd Polynomial.Separable.of_dvd
theorem separable_gcd_left {F : Type*} [Field F] {f : F[X]} (hf : f.Separable) (g : F[X]) :
(EuclideanDomain.gcd f g).Separable :=
Separable.of_dvd hf (EuclideanDomain.gcd_dvd_left f g)
#align polynomial.separable_gcd_left Polynomial.separable_gcd_left
theorem separable_gcd_right {F : Type*} [Field F] {g : F[X]} (f : F[X]) (hg : g.Separable) :
(EuclideanDomain.gcd f g).Separable :=
Separable.of_dvd hg (EuclideanDomain.gcd_dvd_right f g)
#align polynomial.separable_gcd_right Polynomial.separable_gcd_right
theorem Separable.isCoprime {f g : R[X]} (h : (f * g).Separable) : IsCoprime f g := by
have := h.of_mul_left_left; rw [derivative_mul] at this
exact IsCoprime.of_mul_right_right (IsCoprime.of_add_mul_left_right this)
#align polynomial.separable.is_coprime Polynomial.Separable.isCoprime
theorem Separable.of_pow' {f : R[X]} :
∀ {n : ℕ} (_h : (f ^ n).Separable), IsUnit f ∨ f.Separable ∧ n = 1 ∨ n = 0
| 0 => fun _h => Or.inr <| Or.inr rfl
| 1 => fun h => Or.inr <| Or.inl ⟨pow_one f ▸ h, rfl⟩
| n + 2 => fun h => by
rw [pow_succ, pow_succ] at h
exact Or.inl (isCoprime_self.1 h.isCoprime.of_mul_left_right)
#align polynomial.separable.of_pow' Polynomial.Separable.of_pow'
theorem Separable.of_pow {f : R[X]} (hf : ¬IsUnit f) {n : ℕ} (hn : n ≠ 0)
(hfs : (f ^ n).Separable) : f.Separable ∧ n = 1 :=
(hfs.of_pow'.resolve_left hf).resolve_right hn
#align polynomial.separable.of_pow Polynomial.Separable.of_pow
theorem Separable.map {p : R[X]} (h : p.Separable) {f : R →+* S} : (p.map f).Separable :=
let ⟨a, b, H⟩ := h
⟨a.map f, b.map f, by
rw [derivative_map, ← Polynomial.map_mul, ← Polynomial.map_mul, ← Polynomial.map_add, H,
Polynomial.map_one]⟩
#align polynomial.separable.map Polynomial.Separable.map
theorem _root_.Associated.separable {f g : R[X]}
(ha : Associated f g) (h : f.Separable) : g.Separable := by
obtain ⟨⟨u, v, h1, h2⟩, ha⟩ := ha
obtain ⟨a, b, h⟩ := h
refine ⟨a * v + b * derivative v, b * v, ?_⟩
replace h := congr($h * $(h1))
have h3 := congr(derivative $(h1))
simp only [← ha, derivative_mul, derivative_one] at h3 ⊢
calc
_ = (a * f + b * derivative f) * (u * v)
+ (b * f) * (derivative u * v + u * derivative v) := by ring1
_ = 1 := by rw [h, h3]; ring1
theorem _root_.Associated.separable_iff {f g : R[X]}
(ha : Associated f g) : f.Separable ↔ g.Separable := ⟨ha.separable, ha.symm.separable⟩
theorem Separable.mul_unit {f g : R[X]} (hf : f.Separable) (hg : IsUnit g) : (f * g).Separable :=
(associated_mul_unit_right f g hg).separable hf
theorem Separable.unit_mul {f g : R[X]} (hf : IsUnit f) (hg : g.Separable) : (f * g).Separable :=
(associated_unit_mul_right g f hf).separable hg
| Mathlib/FieldTheory/Separable.lean | 160 | 166 | theorem Separable.eval₂_derivative_ne_zero [Nontrivial S] (f : R →+* S) {p : R[X]}
(h : p.Separable) {x : S} (hx : p.eval₂ f x = 0) :
(derivative p).eval₂ f x ≠ 0 := by |
intro hx'
obtain ⟨a, b, e⟩ := h
apply_fun Polynomial.eval₂ f x at e
simp only [eval₂_add, eval₂_mul, hx, mul_zero, hx', add_zero, eval₂_one, zero_ne_one] at e
|
import Mathlib.Data.Nat.Defs
import Mathlib.Data.Option.Basic
import Mathlib.Data.List.Defs
import Mathlib.Init.Data.List.Basic
import Mathlib.Init.Data.List.Instances
import Mathlib.Init.Data.List.Lemmas
import Mathlib.Logic.Unique
import Mathlib.Order.Basic
import Mathlib.Tactic.Common
#align_import data.list.basic from "leanprover-community/mathlib"@"65a1391a0106c9204fe45bc73a039f056558cb83"
assert_not_exists Set.range
assert_not_exists GroupWithZero
assert_not_exists Ring
open Function
open Nat hiding one_pos
namespace List
universe u v w
variable {ι : Type*} {α : Type u} {β : Type v} {γ : Type w} {l₁ l₂ : List α}
-- Porting note: Delete this attribute
-- attribute [inline] List.head!
instance uniqueOfIsEmpty [IsEmpty α] : Unique (List α) :=
{ instInhabitedList with
uniq := fun l =>
match l with
| [] => rfl
| a :: _ => isEmptyElim a }
#align list.unique_of_is_empty List.uniqueOfIsEmpty
instance : Std.LawfulIdentity (α := List α) Append.append [] where
left_id := nil_append
right_id := append_nil
instance : Std.Associative (α := List α) Append.append where
assoc := append_assoc
#align list.cons_ne_nil List.cons_ne_nil
#align list.cons_ne_self List.cons_ne_self
#align list.head_eq_of_cons_eq List.head_eq_of_cons_eqₓ -- implicits order
#align list.tail_eq_of_cons_eq List.tail_eq_of_cons_eqₓ -- implicits order
@[simp] theorem cons_injective {a : α} : Injective (cons a) := fun _ _ => tail_eq_of_cons_eq
#align list.cons_injective List.cons_injective
#align list.cons_inj List.cons_inj
#align list.cons_eq_cons List.cons_eq_cons
theorem singleton_injective : Injective fun a : α => [a] := fun _ _ h => (cons_eq_cons.1 h).1
#align list.singleton_injective List.singleton_injective
theorem singleton_inj {a b : α} : [a] = [b] ↔ a = b :=
singleton_injective.eq_iff
#align list.singleton_inj List.singleton_inj
#align list.exists_cons_of_ne_nil List.exists_cons_of_ne_nil
theorem set_of_mem_cons (l : List α) (a : α) : { x | x ∈ a :: l } = insert a { x | x ∈ l } :=
Set.ext fun _ => mem_cons
#align list.set_of_mem_cons List.set_of_mem_cons
#align list.mem_singleton_self List.mem_singleton_self
#align list.eq_of_mem_singleton List.eq_of_mem_singleton
#align list.mem_singleton List.mem_singleton
#align list.mem_of_mem_cons_of_mem List.mem_of_mem_cons_of_mem
theorem _root_.Decidable.List.eq_or_ne_mem_of_mem [DecidableEq α]
{a b : α} {l : List α} (h : a ∈ b :: l) : a = b ∨ a ≠ b ∧ a ∈ l := by
by_cases hab : a = b
· exact Or.inl hab
· exact ((List.mem_cons.1 h).elim Or.inl (fun h => Or.inr ⟨hab, h⟩))
#align decidable.list.eq_or_ne_mem_of_mem Decidable.List.eq_or_ne_mem_of_mem
#align list.eq_or_ne_mem_of_mem List.eq_or_ne_mem_of_mem
#align list.not_mem_append List.not_mem_append
#align list.ne_nil_of_mem List.ne_nil_of_mem
lemma mem_pair {a b c : α} : a ∈ [b, c] ↔ a = b ∨ a = c := by
rw [mem_cons, mem_singleton]
@[deprecated (since := "2024-03-23")] alias mem_split := append_of_mem
#align list.mem_split List.append_of_mem
#align list.mem_of_ne_of_mem List.mem_of_ne_of_mem
#align list.ne_of_not_mem_cons List.ne_of_not_mem_cons
#align list.not_mem_of_not_mem_cons List.not_mem_of_not_mem_cons
#align list.not_mem_cons_of_ne_of_not_mem List.not_mem_cons_of_ne_of_not_mem
#align list.ne_and_not_mem_of_not_mem_cons List.ne_and_not_mem_of_not_mem_cons
#align list.mem_map List.mem_map
#align list.exists_of_mem_map List.exists_of_mem_map
#align list.mem_map_of_mem List.mem_map_of_memₓ -- implicits order
-- The simpNF linter says that the LHS can be simplified via `List.mem_map`.
-- However this is a higher priority lemma.
-- https://github.com/leanprover/std4/issues/207
@[simp 1100, nolint simpNF]
theorem mem_map_of_injective {f : α → β} (H : Injective f) {a : α} {l : List α} :
f a ∈ map f l ↔ a ∈ l :=
⟨fun m => let ⟨_, m', e⟩ := exists_of_mem_map m; H e ▸ m', mem_map_of_mem _⟩
#align list.mem_map_of_injective List.mem_map_of_injective
@[simp]
theorem _root_.Function.Involutive.exists_mem_and_apply_eq_iff {f : α → α}
(hf : Function.Involutive f) (x : α) (l : List α) : (∃ y : α, y ∈ l ∧ f y = x) ↔ f x ∈ l :=
⟨by rintro ⟨y, h, rfl⟩; rwa [hf y], fun h => ⟨f x, h, hf _⟩⟩
#align function.involutive.exists_mem_and_apply_eq_iff Function.Involutive.exists_mem_and_apply_eq_iff
theorem mem_map_of_involutive {f : α → α} (hf : Involutive f) {a : α} {l : List α} :
a ∈ map f l ↔ f a ∈ l := by rw [mem_map, hf.exists_mem_and_apply_eq_iff]
#align list.mem_map_of_involutive List.mem_map_of_involutive
#align list.forall_mem_map_iff List.forall_mem_map_iffₓ -- universe order
#align list.map_eq_nil List.map_eq_nilₓ -- universe order
attribute [simp] List.mem_join
#align list.mem_join List.mem_join
#align list.exists_of_mem_join List.exists_of_mem_join
#align list.mem_join_of_mem List.mem_join_of_memₓ -- implicits order
attribute [simp] List.mem_bind
#align list.mem_bind List.mem_bindₓ -- implicits order
-- Porting note: bExists in Lean3, And in Lean4
#align list.exists_of_mem_bind List.exists_of_mem_bindₓ -- implicits order
#align list.mem_bind_of_mem List.mem_bind_of_memₓ -- implicits order
#align list.bind_map List.bind_mapₓ -- implicits order
theorem map_bind (g : β → List γ) (f : α → β) :
∀ l : List α, (List.map f l).bind g = l.bind fun a => g (f a)
| [] => rfl
| a :: l => by simp only [cons_bind, map_cons, map_bind _ _ l]
#align list.map_bind List.map_bind
#align list.length_eq_zero List.length_eq_zero
#align list.length_singleton List.length_singleton
#align list.length_pos_of_mem List.length_pos_of_mem
#align list.exists_mem_of_length_pos List.exists_mem_of_length_pos
#align list.length_pos_iff_exists_mem List.length_pos_iff_exists_mem
alias ⟨ne_nil_of_length_pos, length_pos_of_ne_nil⟩ := length_pos
#align list.ne_nil_of_length_pos List.ne_nil_of_length_pos
#align list.length_pos_of_ne_nil List.length_pos_of_ne_nil
theorem length_pos_iff_ne_nil {l : List α} : 0 < length l ↔ l ≠ [] :=
⟨ne_nil_of_length_pos, length_pos_of_ne_nil⟩
#align list.length_pos_iff_ne_nil List.length_pos_iff_ne_nil
#align list.exists_mem_of_ne_nil List.exists_mem_of_ne_nil
#align list.length_eq_one List.length_eq_one
theorem exists_of_length_succ {n} : ∀ l : List α, l.length = n + 1 → ∃ h t, l = h :: t
| [], H => absurd H.symm <| succ_ne_zero n
| h :: t, _ => ⟨h, t, rfl⟩
#align list.exists_of_length_succ List.exists_of_length_succ
@[simp] lemma length_injective_iff : Injective (List.length : List α → ℕ) ↔ Subsingleton α := by
constructor
· intro h; refine ⟨fun x y => ?_⟩; (suffices [x] = [y] by simpa using this); apply h; rfl
· intros hα l1 l2 hl
induction l1 generalizing l2 <;> cases l2
· rfl
· cases hl
· cases hl
· next ih _ _ =>
congr
· exact Subsingleton.elim _ _
· apply ih; simpa using hl
#align list.length_injective_iff List.length_injective_iff
@[simp default+1] -- Porting note: this used to be just @[simp]
lemma length_injective [Subsingleton α] : Injective (length : List α → ℕ) :=
length_injective_iff.mpr inferInstance
#align list.length_injective List.length_injective
theorem length_eq_two {l : List α} : l.length = 2 ↔ ∃ a b, l = [a, b] :=
⟨fun _ => let [a, b] := l; ⟨a, b, rfl⟩, fun ⟨_, _, e⟩ => e ▸ rfl⟩
#align list.length_eq_two List.length_eq_two
theorem length_eq_three {l : List α} : l.length = 3 ↔ ∃ a b c, l = [a, b, c] :=
⟨fun _ => let [a, b, c] := l; ⟨a, b, c, rfl⟩, fun ⟨_, _, _, e⟩ => e ▸ rfl⟩
#align list.length_eq_three List.length_eq_three
#align list.sublist.length_le List.Sublist.length_le
-- ADHOC Porting note: instance from Lean3 core
instance instSingletonList : Singleton α (List α) := ⟨fun x => [x]⟩
#align list.has_singleton List.instSingletonList
-- ADHOC Porting note: instance from Lean3 core
instance [DecidableEq α] : Insert α (List α) := ⟨List.insert⟩
-- ADHOC Porting note: instance from Lean3 core
instance [DecidableEq α] : LawfulSingleton α (List α) :=
{ insert_emptyc_eq := fun x =>
show (if x ∈ ([] : List α) then [] else [x]) = [x] from if_neg (not_mem_nil _) }
#align list.empty_eq List.empty_eq
theorem singleton_eq (x : α) : ({x} : List α) = [x] :=
rfl
#align list.singleton_eq List.singleton_eq
theorem insert_neg [DecidableEq α] {x : α} {l : List α} (h : x ∉ l) :
Insert.insert x l = x :: l :=
insert_of_not_mem h
#align list.insert_neg List.insert_neg
theorem insert_pos [DecidableEq α] {x : α} {l : List α} (h : x ∈ l) : Insert.insert x l = l :=
insert_of_mem h
#align list.insert_pos List.insert_pos
theorem doubleton_eq [DecidableEq α] {x y : α} (h : x ≠ y) : ({x, y} : List α) = [x, y] := by
rw [insert_neg, singleton_eq]
rwa [singleton_eq, mem_singleton]
#align list.doubleton_eq List.doubleton_eq
#align list.forall_mem_nil List.forall_mem_nil
#align list.forall_mem_cons List.forall_mem_cons
theorem forall_mem_of_forall_mem_cons {p : α → Prop} {a : α} {l : List α} (h : ∀ x ∈ a :: l, p x) :
∀ x ∈ l, p x := (forall_mem_cons.1 h).2
#align list.forall_mem_of_forall_mem_cons List.forall_mem_of_forall_mem_cons
#align list.forall_mem_singleton List.forall_mem_singleton
#align list.forall_mem_append List.forall_mem_append
#align list.not_exists_mem_nil List.not_exists_mem_nilₓ -- bExists change
-- Porting note: bExists in Lean3 and And in Lean4
theorem exists_mem_cons_of {p : α → Prop} {a : α} (l : List α) (h : p a) : ∃ x ∈ a :: l, p x :=
⟨a, mem_cons_self _ _, h⟩
#align list.exists_mem_cons_of List.exists_mem_cons_ofₓ -- bExists change
-- Porting note: bExists in Lean3 and And in Lean4
theorem exists_mem_cons_of_exists {p : α → Prop} {a : α} {l : List α} : (∃ x ∈ l, p x) →
∃ x ∈ a :: l, p x :=
fun ⟨x, xl, px⟩ => ⟨x, mem_cons_of_mem _ xl, px⟩
#align list.exists_mem_cons_of_exists List.exists_mem_cons_of_existsₓ -- bExists change
-- Porting note: bExists in Lean3 and And in Lean4
theorem or_exists_of_exists_mem_cons {p : α → Prop} {a : α} {l : List α} : (∃ x ∈ a :: l, p x) →
p a ∨ ∃ x ∈ l, p x :=
fun ⟨x, xal, px⟩ =>
Or.elim (eq_or_mem_of_mem_cons xal) (fun h : x = a => by rw [← h]; left; exact px)
fun h : x ∈ l => Or.inr ⟨x, h, px⟩
#align list.or_exists_of_exists_mem_cons List.or_exists_of_exists_mem_consₓ -- bExists change
theorem exists_mem_cons_iff (p : α → Prop) (a : α) (l : List α) :
(∃ x ∈ a :: l, p x) ↔ p a ∨ ∃ x ∈ l, p x :=
Iff.intro or_exists_of_exists_mem_cons fun h =>
Or.elim h (exists_mem_cons_of l) exists_mem_cons_of_exists
#align list.exists_mem_cons_iff List.exists_mem_cons_iff
instance : IsTrans (List α) Subset where
trans := fun _ _ _ => List.Subset.trans
#align list.subset_def List.subset_def
#align list.subset_append_of_subset_left List.subset_append_of_subset_left
#align list.subset_append_of_subset_right List.subset_append_of_subset_right
#align list.cons_subset List.cons_subset
theorem cons_subset_of_subset_of_mem {a : α} {l m : List α}
(ainm : a ∈ m) (lsubm : l ⊆ m) : a::l ⊆ m :=
cons_subset.2 ⟨ainm, lsubm⟩
#align list.cons_subset_of_subset_of_mem List.cons_subset_of_subset_of_mem
theorem append_subset_of_subset_of_subset {l₁ l₂ l : List α} (l₁subl : l₁ ⊆ l) (l₂subl : l₂ ⊆ l) :
l₁ ++ l₂ ⊆ l :=
fun _ h ↦ (mem_append.1 h).elim (@l₁subl _) (@l₂subl _)
#align list.append_subset_of_subset_of_subset List.append_subset_of_subset_of_subset
-- Porting note: in Batteries
#align list.append_subset_iff List.append_subset
alias ⟨eq_nil_of_subset_nil, _⟩ := subset_nil
#align list.eq_nil_of_subset_nil List.eq_nil_of_subset_nil
#align list.eq_nil_iff_forall_not_mem List.eq_nil_iff_forall_not_mem
#align list.map_subset List.map_subset
theorem map_subset_iff {l₁ l₂ : List α} (f : α → β) (h : Injective f) :
map f l₁ ⊆ map f l₂ ↔ l₁ ⊆ l₂ := by
refine ⟨?_, map_subset f⟩; intro h2 x hx
rcases mem_map.1 (h2 (mem_map_of_mem f hx)) with ⟨x', hx', hxx'⟩
cases h hxx'; exact hx'
#align list.map_subset_iff List.map_subset_iff
theorem append_eq_has_append {L₁ L₂ : List α} : List.append L₁ L₂ = L₁ ++ L₂ :=
rfl
#align list.append_eq_has_append List.append_eq_has_append
#align list.singleton_append List.singleton_append
#align list.append_ne_nil_of_ne_nil_left List.append_ne_nil_of_ne_nil_left
#align list.append_ne_nil_of_ne_nil_right List.append_ne_nil_of_ne_nil_right
#align list.append_eq_nil List.append_eq_nil
-- Porting note: in Batteries
#align list.nil_eq_append_iff List.nil_eq_append
@[deprecated (since := "2024-03-24")] alias append_eq_cons_iff := append_eq_cons
#align list.append_eq_cons_iff List.append_eq_cons
@[deprecated (since := "2024-03-24")] alias cons_eq_append_iff := cons_eq_append
#align list.cons_eq_append_iff List.cons_eq_append
#align list.append_eq_append_iff List.append_eq_append_iff
#align list.take_append_drop List.take_append_drop
#align list.append_inj List.append_inj
#align list.append_inj_right List.append_inj_rightₓ -- implicits order
#align list.append_inj_left List.append_inj_leftₓ -- implicits order
#align list.append_inj' List.append_inj'ₓ -- implicits order
#align list.append_inj_right' List.append_inj_right'ₓ -- implicits order
#align list.append_inj_left' List.append_inj_left'ₓ -- implicits order
@[deprecated (since := "2024-01-18")] alias append_left_cancel := append_cancel_left
#align list.append_left_cancel List.append_cancel_left
@[deprecated (since := "2024-01-18")] alias append_right_cancel := append_cancel_right
#align list.append_right_cancel List.append_cancel_right
@[simp] theorem append_left_eq_self {x y : List α} : x ++ y = y ↔ x = [] := by
rw [← append_left_inj (s₁ := x), nil_append]
@[simp] theorem self_eq_append_left {x y : List α} : y = x ++ y ↔ x = [] := by
rw [eq_comm, append_left_eq_self]
@[simp] theorem append_right_eq_self {x y : List α} : x ++ y = x ↔ y = [] := by
rw [← append_right_inj (t₁ := y), append_nil]
@[simp] theorem self_eq_append_right {x y : List α} : x = x ++ y ↔ y = [] := by
rw [eq_comm, append_right_eq_self]
theorem append_right_injective (s : List α) : Injective fun t ↦ s ++ t :=
fun _ _ ↦ append_cancel_left
#align list.append_right_injective List.append_right_injective
#align list.append_right_inj List.append_right_inj
theorem append_left_injective (t : List α) : Injective fun s ↦ s ++ t :=
fun _ _ ↦ append_cancel_right
#align list.append_left_injective List.append_left_injective
#align list.append_left_inj List.append_left_inj
#align list.map_eq_append_split List.map_eq_append_split
@[simp] lemma replicate_zero (a : α) : replicate 0 a = [] := rfl
#align list.replicate_zero List.replicate_zero
attribute [simp] replicate_succ
#align list.replicate_succ List.replicate_succ
lemma replicate_one (a : α) : replicate 1 a = [a] := rfl
#align list.replicate_one List.replicate_one
#align list.length_replicate List.length_replicate
#align list.mem_replicate List.mem_replicate
#align list.eq_of_mem_replicate List.eq_of_mem_replicate
theorem eq_replicate_length {a : α} : ∀ {l : List α}, l = replicate l.length a ↔ ∀ b ∈ l, b = a
| [] => by simp
| (b :: l) => by simp [eq_replicate_length]
#align list.eq_replicate_length List.eq_replicate_length
#align list.eq_replicate_of_mem List.eq_replicate_of_mem
#align list.eq_replicate List.eq_replicate
theorem replicate_add (m n) (a : α) : replicate (m + n) a = replicate m a ++ replicate n a := by
induction m <;> simp [*, succ_add, replicate]
#align list.replicate_add List.replicate_add
theorem replicate_succ' (n) (a : α) : replicate (n + 1) a = replicate n a ++ [a] :=
replicate_add n 1 a
#align list.replicate_succ' List.replicate_succ'
theorem replicate_subset_singleton (n) (a : α) : replicate n a ⊆ [a] := fun _ h =>
mem_singleton.2 (eq_of_mem_replicate h)
#align list.replicate_subset_singleton List.replicate_subset_singleton
theorem subset_singleton_iff {a : α} {L : List α} : L ⊆ [a] ↔ ∃ n, L = replicate n a := by
simp only [eq_replicate, subset_def, mem_singleton, exists_eq_left']
#align list.subset_singleton_iff List.subset_singleton_iff
@[simp] theorem map_replicate (f : α → β) (n) (a : α) :
map f (replicate n a) = replicate n (f a) := by
induction n <;> [rfl; simp only [*, replicate, map]]
#align list.map_replicate List.map_replicate
@[simp] theorem tail_replicate (a : α) (n) :
tail (replicate n a) = replicate (n - 1) a := by cases n <;> rfl
#align list.tail_replicate List.tail_replicate
@[simp] theorem join_replicate_nil (n : ℕ) : join (replicate n []) = @nil α := by
induction n <;> [rfl; simp only [*, replicate, join, append_nil]]
#align list.join_replicate_nil List.join_replicate_nil
theorem replicate_right_injective {n : ℕ} (hn : n ≠ 0) : Injective (@replicate α n) :=
fun _ _ h => (eq_replicate.1 h).2 _ <| mem_replicate.2 ⟨hn, rfl⟩
#align list.replicate_right_injective List.replicate_right_injective
theorem replicate_right_inj {a b : α} {n : ℕ} (hn : n ≠ 0) :
replicate n a = replicate n b ↔ a = b :=
(replicate_right_injective hn).eq_iff
#align list.replicate_right_inj List.replicate_right_inj
@[simp] theorem replicate_right_inj' {a b : α} : ∀ {n},
replicate n a = replicate n b ↔ n = 0 ∨ a = b
| 0 => by simp
| n + 1 => (replicate_right_inj n.succ_ne_zero).trans <| by simp only [n.succ_ne_zero, false_or]
#align list.replicate_right_inj' List.replicate_right_inj'
theorem replicate_left_injective (a : α) : Injective (replicate · a) :=
LeftInverse.injective (length_replicate · a)
#align list.replicate_left_injective List.replicate_left_injective
@[simp] theorem replicate_left_inj {a : α} {n m : ℕ} : replicate n a = replicate m a ↔ n = m :=
(replicate_left_injective a).eq_iff
#align list.replicate_left_inj List.replicate_left_inj
@[simp] theorem head_replicate (n : ℕ) (a : α) (h) : head (replicate n a) h = a := by
cases n <;> simp at h ⊢
theorem mem_pure (x y : α) : x ∈ (pure y : List α) ↔ x = y := by simp
#align list.mem_pure List.mem_pure
@[simp]
theorem bind_eq_bind {α β} (f : α → List β) (l : List α) : l >>= f = l.bind f :=
rfl
#align list.bind_eq_bind List.bind_eq_bind
#align list.bind_append List.append_bind
#align list.concat_nil List.concat_nil
#align list.concat_cons List.concat_cons
#align list.concat_eq_append List.concat_eq_append
#align list.init_eq_of_concat_eq List.init_eq_of_concat_eq
#align list.last_eq_of_concat_eq List.last_eq_of_concat_eq
#align list.concat_ne_nil List.concat_ne_nil
#align list.concat_append List.concat_append
#align list.length_concat List.length_concat
#align list.append_concat List.append_concat
#align list.reverse_nil List.reverse_nil
#align list.reverse_core List.reverseAux
-- Porting note: Do we need this?
attribute [local simp] reverseAux
#align list.reverse_cons List.reverse_cons
#align list.reverse_core_eq List.reverseAux_eq
theorem reverse_cons' (a : α) (l : List α) : reverse (a :: l) = concat (reverse l) a := by
simp only [reverse_cons, concat_eq_append]
#align list.reverse_cons' List.reverse_cons'
theorem reverse_concat' (l : List α) (a : α) : (l ++ [a]).reverse = a :: l.reverse := by
rw [reverse_append]; rfl
-- Porting note (#10618): simp can prove this
-- @[simp]
theorem reverse_singleton (a : α) : reverse [a] = [a] :=
rfl
#align list.reverse_singleton List.reverse_singleton
#align list.reverse_append List.reverse_append
#align list.reverse_concat List.reverse_concat
#align list.reverse_reverse List.reverse_reverse
@[simp]
theorem reverse_involutive : Involutive (@reverse α) :=
reverse_reverse
#align list.reverse_involutive List.reverse_involutive
@[simp]
theorem reverse_injective : Injective (@reverse α) :=
reverse_involutive.injective
#align list.reverse_injective List.reverse_injective
theorem reverse_surjective : Surjective (@reverse α) :=
reverse_involutive.surjective
#align list.reverse_surjective List.reverse_surjective
theorem reverse_bijective : Bijective (@reverse α) :=
reverse_involutive.bijective
#align list.reverse_bijective List.reverse_bijective
@[simp]
theorem reverse_inj {l₁ l₂ : List α} : reverse l₁ = reverse l₂ ↔ l₁ = l₂ :=
reverse_injective.eq_iff
#align list.reverse_inj List.reverse_inj
theorem reverse_eq_iff {l l' : List α} : l.reverse = l' ↔ l = l'.reverse :=
reverse_involutive.eq_iff
#align list.reverse_eq_iff List.reverse_eq_iff
#align list.reverse_eq_nil List.reverse_eq_nil_iff
theorem concat_eq_reverse_cons (a : α) (l : List α) : concat l a = reverse (a :: reverse l) := by
simp only [concat_eq_append, reverse_cons, reverse_reverse]
#align list.concat_eq_reverse_cons List.concat_eq_reverse_cons
#align list.length_reverse List.length_reverse
-- Porting note: This one was @[simp] in mathlib 3,
-- but Lean contains a competing simp lemma reverse_map.
-- For now we remove @[simp] to avoid simplification loops.
-- TODO: Change Lean lemma to match mathlib 3?
theorem map_reverse (f : α → β) (l : List α) : map f (reverse l) = reverse (map f l) :=
(reverse_map f l).symm
#align list.map_reverse List.map_reverse
theorem map_reverseAux (f : α → β) (l₁ l₂ : List α) :
map f (reverseAux l₁ l₂) = reverseAux (map f l₁) (map f l₂) := by
simp only [reverseAux_eq, map_append, map_reverse]
#align list.map_reverse_core List.map_reverseAux
#align list.mem_reverse List.mem_reverse
@[simp] theorem reverse_replicate (n) (a : α) : reverse (replicate n a) = replicate n a :=
eq_replicate.2
⟨by rw [length_reverse, length_replicate],
fun b h => eq_of_mem_replicate (mem_reverse.1 h)⟩
#align list.reverse_replicate List.reverse_replicate
-- Porting note: this does not work as desired
-- attribute [simp] List.isEmpty
theorem isEmpty_iff_eq_nil {l : List α} : l.isEmpty ↔ l = [] := by cases l <;> simp [isEmpty]
#align list.empty_iff_eq_nil List.isEmpty_iff_eq_nil
#align list.length_init List.length_dropLast
@[simp]
theorem getLast_cons {a : α} {l : List α} :
∀ h : l ≠ nil, getLast (a :: l) (cons_ne_nil a l) = getLast l h := by
induction l <;> intros
· contradiction
· rfl
#align list.last_cons List.getLast_cons
theorem getLast_append_singleton {a : α} (l : List α) :
getLast (l ++ [a]) (append_ne_nil_of_ne_nil_right l _ (cons_ne_nil a _)) = a := by
simp only [getLast_append]
#align list.last_append_singleton List.getLast_append_singleton
-- Porting note: name should be fixed upstream
theorem getLast_append' (l₁ l₂ : List α) (h : l₂ ≠ []) :
getLast (l₁ ++ l₂) (append_ne_nil_of_ne_nil_right l₁ l₂ h) = getLast l₂ h := by
induction' l₁ with _ _ ih
· simp
· simp only [cons_append]
rw [List.getLast_cons]
exact ih
#align list.last_append List.getLast_append'
theorem getLast_concat' {a : α} (l : List α) : getLast (concat l a) (concat_ne_nil a l) = a :=
getLast_concat ..
#align list.last_concat List.getLast_concat'
@[simp]
theorem getLast_singleton' (a : α) : getLast [a] (cons_ne_nil a []) = a := rfl
#align list.last_singleton List.getLast_singleton'
-- Porting note (#10618): simp can prove this
-- @[simp]
theorem getLast_cons_cons (a₁ a₂ : α) (l : List α) :
getLast (a₁ :: a₂ :: l) (cons_ne_nil _ _) = getLast (a₂ :: l) (cons_ne_nil a₂ l) :=
rfl
#align list.last_cons_cons List.getLast_cons_cons
theorem dropLast_append_getLast : ∀ {l : List α} (h : l ≠ []), dropLast l ++ [getLast l h] = l
| [], h => absurd rfl h
| [a], h => rfl
| a :: b :: l, h => by
rw [dropLast_cons₂, cons_append, getLast_cons (cons_ne_nil _ _)]
congr
exact dropLast_append_getLast (cons_ne_nil b l)
#align list.init_append_last List.dropLast_append_getLast
theorem getLast_congr {l₁ l₂ : List α} (h₁ : l₁ ≠ []) (h₂ : l₂ ≠ []) (h₃ : l₁ = l₂) :
getLast l₁ h₁ = getLast l₂ h₂ := by subst l₁; rfl
#align list.last_congr List.getLast_congr
#align list.last_mem List.getLast_mem
| Mathlib/Data/List/Basic.lean | 668 | 671 | theorem getLast_replicate_succ (m : ℕ) (a : α) :
(replicate (m + 1) a).getLast (ne_nil_of_length_eq_succ (length_replicate _ _)) = a := by |
simp only [replicate_succ']
exact getLast_append_singleton _
|
import Mathlib.Algebra.Order.Group.Basic
import Mathlib.Algebra.Order.Ring.Basic
import Mathlib.Algebra.Star.Unitary
import Mathlib.Data.Nat.ModEq
import Mathlib.NumberTheory.Zsqrtd.Basic
import Mathlib.Tactic.Monotonicity
#align_import number_theory.pell_matiyasevic from "leanprover-community/mathlib"@"795b501869b9fa7aa716d5fdadd00c03f983a605"
namespace Pell
open Nat
section
variable {d : ℤ}
def IsPell : ℤ√d → Prop
| ⟨x, y⟩ => x * x - d * y * y = 1
#align pell.is_pell Pell.IsPell
theorem isPell_norm : ∀ {b : ℤ√d}, IsPell b ↔ b * star b = 1
| ⟨x, y⟩ => by simp [Zsqrtd.ext_iff, IsPell, mul_comm]; ring_nf
#align pell.is_pell_norm Pell.isPell_norm
theorem isPell_iff_mem_unitary : ∀ {b : ℤ√d}, IsPell b ↔ b ∈ unitary (ℤ√d)
| ⟨x, y⟩ => by rw [unitary.mem_iff, isPell_norm, mul_comm (star _), and_self_iff]
#align pell.is_pell_iff_mem_unitary Pell.isPell_iff_mem_unitary
theorem isPell_mul {b c : ℤ√d} (hb : IsPell b) (hc : IsPell c) : IsPell (b * c) :=
isPell_norm.2 (by simp [mul_comm, mul_left_comm c, mul_assoc,
star_mul, isPell_norm.1 hb, isPell_norm.1 hc])
#align pell.is_pell_mul Pell.isPell_mul
theorem isPell_star : ∀ {b : ℤ√d}, IsPell b ↔ IsPell (star b)
| ⟨x, y⟩ => by simp [IsPell, Zsqrtd.star_mk]
#align pell.is_pell_star Pell.isPell_star
end
section
-- Porting note: was parameter in Lean3
variable {a : ℕ} (a1 : 1 < a)
private def d (_a1 : 1 < a) :=
a * a - 1
@[simp]
theorem d_pos : 0 < d a1 :=
tsub_pos_of_lt (mul_lt_mul a1 (le_of_lt a1) (by decide) (Nat.zero_le _) : 1 * 1 < a * a)
#align pell.d_pos Pell.d_pos
-- TODO(lint): Fix double namespace issue
--@[nolint dup_namespace]
def pell : ℕ → ℕ × ℕ
-- Porting note: used pattern matching because `Nat.recOn` is noncomputable
| 0 => (1, 0)
| n+1 => ((pell n).1 * a + d a1 * (pell n).2, (pell n).1 + (pell n).2 * a)
#align pell.pell Pell.pell
def xn (n : ℕ) : ℕ :=
(pell a1 n).1
#align pell.xn Pell.xn
def yn (n : ℕ) : ℕ :=
(pell a1 n).2
#align pell.yn Pell.yn
@[simp]
theorem pell_val (n : ℕ) : pell a1 n = (xn a1 n, yn a1 n) :=
show pell a1 n = ((pell a1 n).1, (pell a1 n).2) from
match pell a1 n with
| (_, _) => rfl
#align pell.pell_val Pell.pell_val
@[simp]
theorem xn_zero : xn a1 0 = 1 :=
rfl
#align pell.xn_zero Pell.xn_zero
@[simp]
theorem yn_zero : yn a1 0 = 0 :=
rfl
#align pell.yn_zero Pell.yn_zero
@[simp]
theorem xn_succ (n : ℕ) : xn a1 (n + 1) = xn a1 n * a + d a1 * yn a1 n :=
rfl
#align pell.xn_succ Pell.xn_succ
@[simp]
theorem yn_succ (n : ℕ) : yn a1 (n + 1) = xn a1 n + yn a1 n * a :=
rfl
#align pell.yn_succ Pell.yn_succ
--@[simp] Porting note (#10618): `simp` can prove it
theorem xn_one : xn a1 1 = a := by simp
#align pell.xn_one Pell.xn_one
--@[simp] Porting note (#10618): `simp` can prove it
theorem yn_one : yn a1 1 = 1 := by simp
#align pell.yn_one Pell.yn_one
def xz (n : ℕ) : ℤ :=
xn a1 n
#align pell.xz Pell.xz
def yz (n : ℕ) : ℤ :=
yn a1 n
#align pell.yz Pell.yz
section
def az (a : ℕ) : ℤ :=
a
#align pell.az Pell.az
end
theorem asq_pos : 0 < a * a :=
le_trans (le_of_lt a1)
(by have := @Nat.mul_le_mul_left 1 a a (le_of_lt a1); rwa [mul_one] at this)
#align pell.asq_pos Pell.asq_pos
theorem dz_val : ↑(d a1) = az a * az a - 1 :=
have : 1 ≤ a * a := asq_pos a1
by rw [Pell.d, Int.ofNat_sub this]; rfl
#align pell.dz_val Pell.dz_val
@[simp]
theorem xz_succ (n : ℕ) : (xz a1 (n + 1)) = xz a1 n * az a + d a1 * yz a1 n :=
rfl
#align pell.xz_succ Pell.xz_succ
@[simp]
theorem yz_succ (n : ℕ) : yz a1 (n + 1) = xz a1 n + yz a1 n * az a :=
rfl
#align pell.yz_succ Pell.yz_succ
def pellZd (n : ℕ) : ℤ√(d a1) :=
⟨xn a1 n, yn a1 n⟩
#align pell.pell_zd Pell.pellZd
@[simp]
theorem pellZd_re (n : ℕ) : (pellZd a1 n).re = xn a1 n :=
rfl
#align pell.pell_zd_re Pell.pellZd_re
@[simp]
theorem pellZd_im (n : ℕ) : (pellZd a1 n).im = yn a1 n :=
rfl
#align pell.pell_zd_im Pell.pellZd_im
theorem isPell_nat {x y : ℕ} : IsPell (⟨x, y⟩ : ℤ√(d a1)) ↔ x * x - d a1 * y * y = 1 :=
⟨fun h =>
Nat.cast_inj.1
(by rw [Int.ofNat_sub (Int.le_of_ofNat_le_ofNat <| Int.le.intro_sub _ h)]; exact h),
fun h =>
show ((x * x : ℕ) - (d a1 * y * y : ℕ) : ℤ) = 1 by
rw [← Int.ofNat_sub <| le_of_lt <| Nat.lt_of_sub_eq_succ h, h]; rfl⟩
#align pell.is_pell_nat Pell.isPell_nat
@[simp]
theorem pellZd_succ (n : ℕ) : pellZd a1 (n + 1) = pellZd a1 n * ⟨a, 1⟩ := by ext <;> simp
#align pell.pell_zd_succ Pell.pellZd_succ
theorem isPell_one : IsPell (⟨a, 1⟩ : ℤ√(d a1)) :=
show az a * az a - d a1 * 1 * 1 = 1 by simp [dz_val]
#align pell.is_pell_one Pell.isPell_one
theorem isPell_pellZd : ∀ n : ℕ, IsPell (pellZd a1 n)
| 0 => rfl
| n + 1 => by
let o := isPell_one a1
simp; exact Pell.isPell_mul (isPell_pellZd n) o
#align pell.is_pell_pell_zd Pell.isPell_pellZd
@[simp]
theorem pell_eqz (n : ℕ) : xz a1 n * xz a1 n - d a1 * yz a1 n * yz a1 n = 1 :=
isPell_pellZd a1 n
#align pell.pell_eqz Pell.pell_eqz
@[simp]
theorem pell_eq (n : ℕ) : xn a1 n * xn a1 n - d a1 * yn a1 n * yn a1 n = 1 :=
let pn := pell_eqz a1 n
have h : (↑(xn a1 n * xn a1 n) : ℤ) - ↑(d a1 * yn a1 n * yn a1 n) = 1 := by
repeat' rw [Int.ofNat_mul]; exact pn
have hl : d a1 * yn a1 n * yn a1 n ≤ xn a1 n * xn a1 n :=
Nat.cast_le.1 <| Int.le.intro _ <| add_eq_of_eq_sub' <| Eq.symm h
Nat.cast_inj.1 (by rw [Int.ofNat_sub hl]; exact h)
#align pell.pell_eq Pell.pell_eq
instance dnsq : Zsqrtd.Nonsquare (d a1) :=
⟨fun n h =>
have : n * n + 1 = a * a := by rw [← h]; exact Nat.succ_pred_eq_of_pos (asq_pos a1)
have na : n < a := Nat.mul_self_lt_mul_self_iff.1 (by rw [← this]; exact Nat.lt_succ_self _)
have : (n + 1) * (n + 1) ≤ n * n + 1 := by rw [this]; exact Nat.mul_self_le_mul_self na
have : n + n ≤ 0 :=
@Nat.le_of_add_le_add_right _ (n * n + 1) _ (by ring_nf at this ⊢; assumption)
Nat.ne_of_gt (d_pos a1) <| by
rwa [Nat.eq_zero_of_le_zero ((Nat.le_add_left _ _).trans this)] at h⟩
#align pell.dnsq Pell.dnsq
theorem xn_ge_a_pow : ∀ n : ℕ, a ^ n ≤ xn a1 n
| 0 => le_refl 1
| n + 1 => by
simp only [_root_.pow_succ, xn_succ]
exact le_trans (Nat.mul_le_mul_right _ (xn_ge_a_pow n)) (Nat.le_add_right _ _)
#align pell.xn_ge_a_pow Pell.xn_ge_a_pow
theorem n_lt_a_pow : ∀ n : ℕ, n < a ^ n
| 0 => Nat.le_refl 1
| n + 1 => by
have IH := n_lt_a_pow n
have : a ^ n + a ^ n ≤ a ^ n * a := by
rw [← mul_two]
exact Nat.mul_le_mul_left _ a1
simp only [_root_.pow_succ, gt_iff_lt]
refine lt_of_lt_of_le ?_ this
exact add_lt_add_of_lt_of_le IH (lt_of_le_of_lt (Nat.zero_le _) IH)
#align pell.n_lt_a_pow Pell.n_lt_a_pow
theorem n_lt_xn (n) : n < xn a1 n :=
lt_of_lt_of_le (n_lt_a_pow a1 n) (xn_ge_a_pow a1 n)
#align pell.n_lt_xn Pell.n_lt_xn
theorem x_pos (n) : 0 < xn a1 n :=
lt_of_le_of_lt (Nat.zero_le n) (n_lt_xn a1 n)
#align pell.x_pos Pell.x_pos
theorem eq_pell_lem : ∀ (n) (b : ℤ√(d a1)), 1 ≤ b → IsPell b →
b ≤ pellZd a1 n → ∃ n, b = pellZd a1 n
| 0, b => fun h1 _ hl => ⟨0, @Zsqrtd.le_antisymm _ (dnsq a1) _ _ hl h1⟩
| n + 1, b => fun h1 hp h =>
have a1p : (0 : ℤ√(d a1)) ≤ ⟨a, 1⟩ := trivial
have am1p : (0 : ℤ√(d a1)) ≤ ⟨a, -1⟩ := show (_ : Nat) ≤ _ by simp; exact Nat.pred_le _
have a1m : (⟨a, 1⟩ * ⟨a, -1⟩ : ℤ√(d a1)) = 1 := isPell_norm.1 (isPell_one a1)
if ha : (⟨↑a, 1⟩ : ℤ√(d a1)) ≤ b then
let ⟨m, e⟩ :=
eq_pell_lem n (b * ⟨a, -1⟩) (by rw [← a1m]; exact mul_le_mul_of_nonneg_right ha am1p)
(isPell_mul hp (isPell_star.1 (isPell_one a1)))
(by
have t := mul_le_mul_of_nonneg_right h am1p
rwa [pellZd_succ, mul_assoc, a1m, mul_one] at t)
⟨m + 1, by
rw [show b = b * ⟨a, -1⟩ * ⟨a, 1⟩ by rw [mul_assoc, Eq.trans (mul_comm _ _) a1m]; simp,
pellZd_succ, e]⟩
else
suffices ¬1 < b from ⟨0, show b = 1 from (Or.resolve_left (lt_or_eq_of_le h1) this).symm⟩
fun h1l => by
cases' b with x y
exact by
have bm : (_ * ⟨_, _⟩ : ℤ√d a1) = 1 := Pell.isPell_norm.1 hp
have y0l : (0 : ℤ√d a1) < ⟨x - x, y - -y⟩ :=
sub_lt_sub h1l fun hn : (1 : ℤ√d a1) ≤ ⟨x, -y⟩ => by
have t := mul_le_mul_of_nonneg_left hn (le_trans zero_le_one h1)
erw [bm, mul_one] at t
exact h1l t
have yl2 : (⟨_, _⟩ : ℤ√_) < ⟨_, _⟩ :=
show (⟨x, y⟩ - ⟨x, -y⟩ : ℤ√d a1) < ⟨a, 1⟩ - ⟨a, -1⟩ from
sub_lt_sub ha fun hn : (⟨x, -y⟩ : ℤ√d a1) ≤ ⟨a, -1⟩ => by
have t := mul_le_mul_of_nonneg_right
(mul_le_mul_of_nonneg_left hn (le_trans zero_le_one h1)) a1p
erw [bm, one_mul, mul_assoc, Eq.trans (mul_comm _ _) a1m, mul_one] at t
exact ha t
simp only [sub_self, sub_neg_eq_add] at y0l; simp only [Zsqrtd.neg_re, add_right_neg,
Zsqrtd.neg_im, neg_neg] at yl2
exact
match y, y0l, (yl2 : (⟨_, _⟩ : ℤ√_) < ⟨_, _⟩) with
| 0, y0l, _ => y0l (le_refl 0)
| (y + 1 : ℕ), _, yl2 =>
yl2
(Zsqrtd.le_of_le_le (by simp [sub_eq_add_neg])
(let t := Int.ofNat_le_ofNat_of_le (Nat.succ_pos y)
add_le_add t t))
| Int.negSucc _, y0l, _ => y0l trivial
#align pell.eq_pell_lem Pell.eq_pell_lem
theorem eq_pellZd (b : ℤ√(d a1)) (b1 : 1 ≤ b) (hp : IsPell b) : ∃ n, b = pellZd a1 n :=
let ⟨n, h⟩ := @Zsqrtd.le_arch (d a1) b
eq_pell_lem a1 n b b1 hp <|
h.trans <| by
rw [Zsqrtd.natCast_val]
exact
Zsqrtd.le_of_le_le (Int.ofNat_le_ofNat_of_le <| le_of_lt <| n_lt_xn _ _)
(Int.ofNat_zero_le _)
#align pell.eq_pell_zd Pell.eq_pellZd
theorem eq_pell {x y : ℕ} (hp : x * x - d a1 * y * y = 1) : ∃ n, x = xn a1 n ∧ y = yn a1 n :=
have : (1 : ℤ√(d a1)) ≤ ⟨x, y⟩ :=
match x, hp with
| 0, (hp : 0 - _ = 1) => by rw [zero_tsub] at hp; contradiction
| x + 1, _hp =>
Zsqrtd.le_of_le_le (Int.ofNat_le_ofNat_of_le <| Nat.succ_pos x) (Int.ofNat_zero_le _)
let ⟨m, e⟩ := eq_pellZd a1 ⟨x, y⟩ this ((isPell_nat a1).2 hp)
⟨m,
match x, y, e with
| _, _, rfl => ⟨rfl, rfl⟩⟩
#align pell.eq_pell Pell.eq_pell
theorem pellZd_add (m) : ∀ n, pellZd a1 (m + n) = pellZd a1 m * pellZd a1 n
| 0 => (mul_one _).symm
| n + 1 => by rw [← add_assoc, pellZd_succ, pellZd_succ, pellZd_add _ n, ← mul_assoc]
#align pell.pell_zd_add Pell.pellZd_add
theorem xn_add (m n) : xn a1 (m + n) = xn a1 m * xn a1 n + d a1 * yn a1 m * yn a1 n := by
injection pellZd_add a1 m n with h _
zify
rw [h]
simp [pellZd]
#align pell.xn_add Pell.xn_add
theorem yn_add (m n) : yn a1 (m + n) = xn a1 m * yn a1 n + yn a1 m * xn a1 n := by
injection pellZd_add a1 m n with _ h
zify
rw [h]
simp [pellZd]
#align pell.yn_add Pell.yn_add
theorem pellZd_sub {m n} (h : n ≤ m) : pellZd a1 (m - n) = pellZd a1 m * star (pellZd a1 n) := by
let t := pellZd_add a1 n (m - n)
rw [add_tsub_cancel_of_le h] at t
rw [t, mul_comm (pellZd _ n) _, mul_assoc, isPell_norm.1 (isPell_pellZd _ _), mul_one]
#align pell.pell_zd_sub Pell.pellZd_sub
theorem xz_sub {m n} (h : n ≤ m) :
xz a1 (m - n) = xz a1 m * xz a1 n - d a1 * yz a1 m * yz a1 n := by
rw [sub_eq_add_neg, ← mul_neg]
exact congr_arg Zsqrtd.re (pellZd_sub a1 h)
#align pell.xz_sub Pell.xz_sub
theorem yz_sub {m n} (h : n ≤ m) : yz a1 (m - n) = xz a1 n * yz a1 m - xz a1 m * yz a1 n := by
rw [sub_eq_add_neg, ← mul_neg, mul_comm, add_comm]
exact congr_arg Zsqrtd.im (pellZd_sub a1 h)
#align pell.yz_sub Pell.yz_sub
theorem xy_coprime (n) : (xn a1 n).Coprime (yn a1 n) :=
Nat.coprime_of_dvd' fun k _ kx ky => by
let p := pell_eq a1 n
rw [← p]
exact Nat.dvd_sub (le_of_lt <| Nat.lt_of_sub_eq_succ p) (kx.mul_left _) (ky.mul_left _)
#align pell.xy_coprime Pell.xy_coprime
theorem strictMono_y : StrictMono (yn a1)
| m, 0, h => absurd h <| Nat.not_lt_zero _
| m, n + 1, h => by
have : yn a1 m ≤ yn a1 n :=
Or.elim (lt_or_eq_of_le <| Nat.le_of_succ_le_succ h) (fun hl => le_of_lt <| strictMono_y hl)
fun e => by rw [e]
simp; refine lt_of_le_of_lt ?_ (Nat.lt_add_of_pos_left <| x_pos a1 n)
rw [← mul_one (yn a1 m)]
exact mul_le_mul this (le_of_lt a1) (Nat.zero_le _) (Nat.zero_le _)
#align pell.strict_mono_y Pell.strictMono_y
theorem strictMono_x : StrictMono (xn a1)
| m, 0, h => absurd h <| Nat.not_lt_zero _
| m, n + 1, h => by
have : xn a1 m ≤ xn a1 n :=
Or.elim (lt_or_eq_of_le <| Nat.le_of_succ_le_succ h) (fun hl => le_of_lt <| strictMono_x hl)
fun e => by rw [e]
simp; refine lt_of_lt_of_le (lt_of_le_of_lt this ?_) (Nat.le_add_right _ _)
have t := Nat.mul_lt_mul_of_pos_left a1 (x_pos a1 n)
rwa [mul_one] at t
#align pell.strict_mono_x Pell.strictMono_x
theorem yn_ge_n : ∀ n, n ≤ yn a1 n
| 0 => Nat.zero_le _
| n + 1 =>
show n < yn a1 (n + 1) from lt_of_le_of_lt (yn_ge_n n) (strictMono_y a1 <| Nat.lt_succ_self n)
#align pell.yn_ge_n Pell.yn_ge_n
theorem y_mul_dvd (n) : ∀ k, yn a1 n ∣ yn a1 (n * k)
| 0 => dvd_zero _
| k + 1 => by
rw [Nat.mul_succ, yn_add]; exact dvd_add (dvd_mul_left _ _) ((y_mul_dvd _ k).mul_right _)
#align pell.y_mul_dvd Pell.y_mul_dvd
theorem y_dvd_iff (m n) : yn a1 m ∣ yn a1 n ↔ m ∣ n :=
⟨fun h =>
Nat.dvd_of_mod_eq_zero <|
(Nat.eq_zero_or_pos _).resolve_right fun hp => by
have co : Nat.Coprime (yn a1 m) (xn a1 (m * (n / m))) :=
Nat.Coprime.symm <| (xy_coprime a1 _).coprime_dvd_right (y_mul_dvd a1 m (n / m))
have m0 : 0 < m :=
m.eq_zero_or_pos.resolve_left fun e => by
rw [e, Nat.mod_zero] at hp;rw [e] at h
exact _root_.ne_of_lt (strictMono_y a1 hp) (eq_zero_of_zero_dvd h).symm
rw [← Nat.mod_add_div n m, yn_add] at h
exact
not_le_of_gt (strictMono_y _ <| Nat.mod_lt n m0)
(Nat.le_of_dvd (strictMono_y _ hp) <|
co.dvd_of_dvd_mul_right <|
(Nat.dvd_add_iff_right <| (y_mul_dvd _ _ _).mul_left _).2 h),
fun ⟨k, e⟩ => by rw [e]; apply y_mul_dvd⟩
#align pell.y_dvd_iff Pell.y_dvd_iff
| Mathlib/NumberTheory/PellMatiyasevic.lean | 457 | 487 | theorem xy_modEq_yn (n) :
∀ k, xn a1 (n * k) ≡ xn a1 n ^ k [MOD yn a1 n ^ 2] ∧ yn a1 (n * k) ≡
k * xn a1 n ^ (k - 1) * yn a1 n [MOD yn a1 n ^ 3]
| 0 => by constructor <;> simp <;> exact Nat.ModEq.refl _
| k + 1 => by
let ⟨hx, hy⟩ := xy_modEq_yn n k
have L : xn a1 (n * k) * xn a1 n + d a1 * yn a1 (n * k) * yn a1 n ≡
xn a1 n ^ k * xn a1 n + 0 [MOD yn a1 n ^ 2] :=
(hx.mul_right _).add <|
modEq_zero_iff_dvd.2 <| by
rw [_root_.pow_succ]
exact
mul_dvd_mul_right
(dvd_mul_of_dvd_right
(modEq_zero_iff_dvd.1 <|
(hy.of_dvd <| by simp [_root_.pow_succ]).trans <|
modEq_zero_iff_dvd.2 <| by simp)
_) _
have R : xn a1 (n * k) * yn a1 n + yn a1 (n * k) * xn a1 n ≡
xn a1 n ^ k * yn a1 n + k * xn a1 n ^ k * yn a1 n [MOD yn a1 n ^ 3] :=
ModEq.add
(by
rw [_root_.pow_succ]
exact hx.mul_right' _) <| by
have : k * xn a1 n ^ (k - 1) * yn a1 n * xn a1 n = k * xn a1 n ^ k * yn a1 n := by |
cases' k with k <;> simp [_root_.pow_succ]; ring_nf
rw [← this]
exact hy.mul_right _
rw [add_tsub_cancel_right, Nat.mul_succ, xn_add, yn_add, pow_succ (xn _ n), Nat.succ_mul,
add_comm (k * xn _ n ^ k) (xn _ n ^ k), right_distrib]
exact ⟨L, R⟩
|
import Mathlib.Algebra.Group.Int
import Mathlib.Algebra.Order.Group.Abs
#align_import data.int.order.basic from "leanprover-community/mathlib"@"e8638a0fcaf73e4500469f368ef9494e495099b3"
-- We should need only a minimal development of sets in order to get here.
assert_not_exists Set.Subsingleton
assert_not_exists Ring
open Function Nat
namespace Int
theorem natCast_strictMono : StrictMono (· : ℕ → ℤ) := fun _ _ ↦ Int.ofNat_lt.2
#align int.coe_nat_strict_mono Int.natCast_strictMono
@[deprecated (since := "2024-05-25")] alias coe_nat_strictMono := natCast_strictMono
instance linearOrderedAddCommGroup : LinearOrderedAddCommGroup ℤ where
__ := instLinearOrder
__ := instAddCommGroup
add_le_add_left _ _ := Int.add_le_add_left
theorem abs_eq_natAbs : ∀ a : ℤ, |a| = natAbs a
| (n : ℕ) => abs_of_nonneg <| ofNat_zero_le _
| -[_+1] => abs_of_nonpos <| le_of_lt <| negSucc_lt_zero _
#align int.abs_eq_nat_abs Int.abs_eq_natAbs
@[simp, norm_cast] lemma natCast_natAbs (n : ℤ) : (n.natAbs : ℤ) = |n| := n.abs_eq_natAbs.symm
#align int.coe_nat_abs Int.natCast_natAbs
theorem natAbs_abs (a : ℤ) : natAbs |a| = natAbs a := by rw [abs_eq_natAbs]; rfl
#align int.nat_abs_abs Int.natAbs_abs
theorem sign_mul_abs (a : ℤ) : sign a * |a| = a := by
rw [abs_eq_natAbs, sign_mul_natAbs a]
#align int.sign_mul_abs Int.sign_mul_abs
lemma natAbs_le_self_sq (a : ℤ) : (Int.natAbs a : ℤ) ≤ a ^ 2 := by
rw [← Int.natAbs_sq a, sq]
norm_cast
apply Nat.le_mul_self
#align int.abs_le_self_sq Int.natAbs_le_self_sq
alias natAbs_le_self_pow_two := natAbs_le_self_sq
lemma le_self_sq (b : ℤ) : b ≤ b ^ 2 := le_trans le_natAbs (natAbs_le_self_sq _)
#align int.le_self_sq Int.le_self_sq
alias le_self_pow_two := le_self_sq
#align int.le_self_pow_two Int.le_self_pow_two
@[norm_cast] lemma abs_natCast (n : ℕ) : |(n : ℤ)| = n := abs_of_nonneg (natCast_nonneg n)
#align int.abs_coe_nat Int.abs_natCast
| Mathlib/Algebra/Order/Group/Int.lean | 81 | 82 | theorem natAbs_sub_pos_iff {i j : ℤ} : 0 < natAbs (i - j) ↔ i ≠ j := by |
rw [natAbs_pos, ne_eq, sub_eq_zero]
|
import Mathlib.Algebra.CharP.LocalRing
import Mathlib.RingTheory.Ideal.Quotient
import Mathlib.Tactic.FieldSimp
#align_import algebra.char_p.mixed_char_zero from "leanprover-community/mathlib"@"70fd9563a21e7b963887c9360bd29b2393e6225a"
variable (R : Type*) [CommRing R]
class MixedCharZero (p : ℕ) : Prop where
[toCharZero : CharZero R]
charP_quotient : ∃ I : Ideal R, I ≠ ⊤ ∧ CharP (R ⧸ I) p
#align mixed_char_zero MixedCharZero
namespace EqualCharZero
theorem of_algebraRat [Algebra ℚ R] : ∀ I : Ideal R, I ≠ ⊤ → CharZero (R ⧸ I) := by
intro I hI
constructor
intro a b h_ab
contrapose! hI
-- `↑a - ↑b` is a unit contained in `I`, which contradicts `I ≠ ⊤`.
refine I.eq_top_of_isUnit_mem ?_ (IsUnit.map (algebraMap ℚ R) (IsUnit.mk0 (a - b : ℚ) ?_))
· simpa only [← Ideal.Quotient.eq_zero_iff_mem, map_sub, sub_eq_zero, map_natCast]
simpa only [Ne, sub_eq_zero] using (@Nat.cast_injective ℚ _ _).ne hI
set_option linter.uppercaseLean3 false in
#align Q_algebra_to_equal_char_zero EqualCharZero.of_algebraRat
| Mathlib/Algebra/CharP/MixedCharZero.lean | 250 | 260 | theorem of_not_mixedCharZero [CharZero R] (h : ∀ p > 0, ¬MixedCharZero R p) :
∀ I : Ideal R, I ≠ ⊤ → CharZero (R ⧸ I) := by |
intro I hI_ne_top
suffices CharP (R ⧸ I) 0 from CharP.charP_to_charZero _
cases CharP.exists (R ⧸ I) with
| intro p hp =>
cases p with
| zero => exact hp
| succ p =>
have h_mixed : MixedCharZero R p.succ := ⟨⟨I, ⟨hI_ne_top, hp⟩⟩⟩
exact absurd h_mixed (h p.succ p.succ_pos)
|
import Mathlib.CategoryTheory.Limits.Shapes.ZeroMorphisms
import Mathlib.CategoryTheory.Limits.Shapes.Kernels
import Mathlib.CategoryTheory.Abelian.Basic
import Mathlib.CategoryTheory.Subobject.Lattice
import Mathlib.Order.Atoms
#align_import category_theory.simple from "leanprover-community/mathlib"@"4ed0bcaef698011b0692b93a042a2282f490f6b6"
noncomputable section
open CategoryTheory.Limits
namespace CategoryTheory
universe v u
variable {C : Type u} [Category.{v} C]
section
variable [HasZeroMorphisms C]
class Simple (X : C) : Prop where
mono_isIso_iff_nonzero : ∀ {Y : C} (f : Y ⟶ X) [Mono f], IsIso f ↔ f ≠ 0
#align category_theory.simple CategoryTheory.Simple
theorem isIso_of_mono_of_nonzero {X Y : C} [Simple Y] {f : X ⟶ Y} [Mono f] (w : f ≠ 0) : IsIso f :=
(Simple.mono_isIso_iff_nonzero f).mpr w
#align category_theory.is_iso_of_mono_of_nonzero CategoryTheory.isIso_of_mono_of_nonzero
theorem Simple.of_iso {X Y : C} [Simple Y] (i : X ≅ Y) : Simple X :=
{ mono_isIso_iff_nonzero := fun f m => by
haveI : Mono (f ≫ i.hom) := mono_comp _ _
constructor
· intro h w
have j : IsIso (f ≫ i.hom) := by infer_instance
rw [Simple.mono_isIso_iff_nonzero] at j
subst w
simp at j
· intro h
have j : IsIso (f ≫ i.hom) := by
apply isIso_of_mono_of_nonzero
intro w
apply h
simpa using (cancel_mono i.inv).2 w
rw [← Category.comp_id f, ← i.hom_inv_id, ← Category.assoc]
infer_instance }
#align category_theory.simple.of_iso CategoryTheory.Simple.of_iso
theorem Simple.iff_of_iso {X Y : C} (i : X ≅ Y) : Simple X ↔ Simple Y :=
⟨fun _ => Simple.of_iso i.symm, fun _ => Simple.of_iso i⟩
#align category_theory.simple.iff_of_iso CategoryTheory.Simple.iff_of_iso
theorem kernel_zero_of_nonzero_from_simple {X Y : C} [Simple X] {f : X ⟶ Y} [HasKernel f]
(w : f ≠ 0) : kernel.ι f = 0 := by
classical
by_contra h
haveI := isIso_of_mono_of_nonzero h
exact w (eq_zero_of_epi_kernel f)
#align category_theory.kernel_zero_of_nonzero_from_simple CategoryTheory.kernel_zero_of_nonzero_from_simple
-- See also `mono_of_nonzero_from_simple`, which requires `Preadditive C`.
theorem epi_of_nonzero_to_simple [HasEqualizers C] {X Y : C} [Simple Y] {f : X ⟶ Y} [HasImage f]
(w : f ≠ 0) : Epi f := by
rw [← image.fac f]
haveI : IsIso (image.ι f) := isIso_of_mono_of_nonzero fun h => w (eq_zero_of_image_eq_zero h)
apply epi_comp
#align category_theory.epi_of_nonzero_to_simple CategoryTheory.epi_of_nonzero_to_simple
theorem mono_to_simple_zero_of_not_iso {X Y : C} [Simple Y] {f : X ⟶ Y} [Mono f]
(w : IsIso f → False) : f = 0 := by
classical
by_contra h
exact w (isIso_of_mono_of_nonzero h)
#align category_theory.mono_to_simple_zero_of_not_iso CategoryTheory.mono_to_simple_zero_of_not_iso
theorem id_nonzero (X : C) [Simple.{v} X] : 𝟙 X ≠ 0 :=
(Simple.mono_isIso_iff_nonzero (𝟙 X)).mp (by infer_instance)
#align category_theory.id_nonzero CategoryTheory.id_nonzero
instance (X : C) [Simple.{v} X] : Nontrivial (End X) :=
nontrivial_of_ne 1 _ (id_nonzero X)
section
| Mathlib/CategoryTheory/Simple.lean | 119 | 120 | theorem Simple.not_isZero (X : C) [Simple X] : ¬IsZero X := by |
simpa [Limits.IsZero.iff_id_eq_zero] using id_nonzero X
|
import Mathlib.Data.Matrix.Basis
import Mathlib.LinearAlgebra.Basis
import Mathlib.LinearAlgebra.Pi
#align_import linear_algebra.std_basis from "leanprover-community/mathlib"@"13bce9a6b6c44f6b4c91ac1c1d2a816e2533d395"
open Function Set Submodule
namespace LinearMap
variable (R : Type*) {ι : Type*} [Semiring R] (φ : ι → Type*) [∀ i, AddCommMonoid (φ i)]
[∀ i, Module R (φ i)] [DecidableEq ι]
def stdBasis : ∀ i : ι, φ i →ₗ[R] ∀ i, φ i :=
single
#align linear_map.std_basis LinearMap.stdBasis
theorem stdBasis_apply (i : ι) (b : φ i) : stdBasis R φ i b = update (0 : (a : ι) → φ a) i b :=
rfl
#align linear_map.std_basis_apply LinearMap.stdBasis_apply
@[simp]
theorem stdBasis_apply' (i i' : ι) : (stdBasis R (fun _x : ι => R) i) 1 i' = ite (i = i') 1 0 := by
rw [LinearMap.stdBasis_apply, Function.update_apply, Pi.zero_apply]
congr 1; rw [eq_iff_iff, eq_comm]
#align linear_map.std_basis_apply' LinearMap.stdBasis_apply'
theorem coe_stdBasis (i : ι) : ⇑(stdBasis R φ i) = Pi.single i :=
rfl
#align linear_map.coe_std_basis LinearMap.coe_stdBasis
@[simp]
theorem stdBasis_same (i : ι) (b : φ i) : stdBasis R φ i b i = b :=
Pi.single_eq_same i b
#align linear_map.std_basis_same LinearMap.stdBasis_same
theorem stdBasis_ne (i j : ι) (h : j ≠ i) (b : φ i) : stdBasis R φ i b j = 0 :=
Pi.single_eq_of_ne h b
#align linear_map.std_basis_ne LinearMap.stdBasis_ne
theorem stdBasis_eq_pi_diag (i : ι) : stdBasis R φ i = pi (diag i) := by
ext x j
-- Porting note: made types explicit
convert (update_apply (R := R) (φ := φ) (ι := ι) 0 x i j _).symm
rfl
#align linear_map.std_basis_eq_pi_diag LinearMap.stdBasis_eq_pi_diag
theorem ker_stdBasis (i : ι) : ker (stdBasis R φ i) = ⊥ :=
ker_eq_bot_of_injective <| Pi.single_injective _ _
#align linear_map.ker_std_basis LinearMap.ker_stdBasis
| Mathlib/LinearAlgebra/StdBasis.lean | 84 | 85 | theorem proj_comp_stdBasis (i j : ι) : (proj i).comp (stdBasis R φ j) = diag j i := by |
rw [stdBasis_eq_pi_diag, proj_pi]
|
import Mathlib.Data.ENNReal.Inv
#align_import data.real.ennreal from "leanprover-community/mathlib"@"c14c8fcde993801fca8946b0d80131a1a81d1520"
open Set NNReal ENNReal
namespace ENNReal
section Real
variable {a b c d : ℝ≥0∞} {r p q : ℝ≥0}
theorem toReal_add (ha : a ≠ ∞) (hb : b ≠ ∞) : (a + b).toReal = a.toReal + b.toReal := by
lift a to ℝ≥0 using ha
lift b to ℝ≥0 using hb
rfl
#align ennreal.to_real_add ENNReal.toReal_add
theorem toReal_sub_of_le {a b : ℝ≥0∞} (h : b ≤ a) (ha : a ≠ ∞) :
(a - b).toReal = a.toReal - b.toReal := by
lift b to ℝ≥0 using ne_top_of_le_ne_top ha h
lift a to ℝ≥0 using ha
simp only [← ENNReal.coe_sub, ENNReal.coe_toReal, NNReal.coe_sub (ENNReal.coe_le_coe.mp h)]
#align ennreal.to_real_sub_of_le ENNReal.toReal_sub_of_le
theorem le_toReal_sub {a b : ℝ≥0∞} (hb : b ≠ ∞) : a.toReal - b.toReal ≤ (a - b).toReal := by
lift b to ℝ≥0 using hb
induction a
· simp
· simp only [← coe_sub, NNReal.sub_def, Real.coe_toNNReal', coe_toReal]
exact le_max_left _ _
#align ennreal.le_to_real_sub ENNReal.le_toReal_sub
theorem toReal_add_le : (a + b).toReal ≤ a.toReal + b.toReal :=
if ha : a = ∞ then by simp only [ha, top_add, top_toReal, zero_add, toReal_nonneg]
else
if hb : b = ∞ then by simp only [hb, add_top, top_toReal, add_zero, toReal_nonneg]
else le_of_eq (toReal_add ha hb)
#align ennreal.to_real_add_le ENNReal.toReal_add_le
theorem ofReal_add {p q : ℝ} (hp : 0 ≤ p) (hq : 0 ≤ q) :
ENNReal.ofReal (p + q) = ENNReal.ofReal p + ENNReal.ofReal q := by
rw [ENNReal.ofReal, ENNReal.ofReal, ENNReal.ofReal, ← coe_add, coe_inj,
Real.toNNReal_add hp hq]
#align ennreal.of_real_add ENNReal.ofReal_add
theorem ofReal_add_le {p q : ℝ} : ENNReal.ofReal (p + q) ≤ ENNReal.ofReal p + ENNReal.ofReal q :=
coe_le_coe.2 Real.toNNReal_add_le
#align ennreal.of_real_add_le ENNReal.ofReal_add_le
@[simp]
theorem toReal_le_toReal (ha : a ≠ ∞) (hb : b ≠ ∞) : a.toReal ≤ b.toReal ↔ a ≤ b := by
lift a to ℝ≥0 using ha
lift b to ℝ≥0 using hb
norm_cast
#align ennreal.to_real_le_to_real ENNReal.toReal_le_toReal
@[gcongr]
theorem toReal_mono (hb : b ≠ ∞) (h : a ≤ b) : a.toReal ≤ b.toReal :=
(toReal_le_toReal (ne_top_of_le_ne_top hb h) hb).2 h
#align ennreal.to_real_mono ENNReal.toReal_mono
-- Porting note (#10756): new lemma
theorem toReal_mono' (h : a ≤ b) (ht : b = ∞ → a = ∞) : a.toReal ≤ b.toReal := by
rcases eq_or_ne a ∞ with rfl | ha
· exact toReal_nonneg
· exact toReal_mono (mt ht ha) h
@[simp]
theorem toReal_lt_toReal (ha : a ≠ ∞) (hb : b ≠ ∞) : a.toReal < b.toReal ↔ a < b := by
lift a to ℝ≥0 using ha
lift b to ℝ≥0 using hb
norm_cast
#align ennreal.to_real_lt_to_real ENNReal.toReal_lt_toReal
@[gcongr]
theorem toReal_strict_mono (hb : b ≠ ∞) (h : a < b) : a.toReal < b.toReal :=
(toReal_lt_toReal h.ne_top hb).2 h
#align ennreal.to_real_strict_mono ENNReal.toReal_strict_mono
@[gcongr]
theorem toNNReal_mono (hb : b ≠ ∞) (h : a ≤ b) : a.toNNReal ≤ b.toNNReal :=
toReal_mono hb h
#align ennreal.to_nnreal_mono ENNReal.toNNReal_mono
-- Porting note (#10756): new lemma
theorem toReal_le_add' (hle : a ≤ b + c) (hb : b = ∞ → a = ∞) (hc : c = ∞ → a = ∞) :
a.toReal ≤ b.toReal + c.toReal := by
refine le_trans (toReal_mono' hle ?_) toReal_add_le
simpa only [add_eq_top, or_imp] using And.intro hb hc
-- Porting note (#10756): new lemma
theorem toReal_le_add (hle : a ≤ b + c) (hb : b ≠ ∞) (hc : c ≠ ∞) :
a.toReal ≤ b.toReal + c.toReal :=
toReal_le_add' hle (flip absurd hb) (flip absurd hc)
@[simp]
theorem toNNReal_le_toNNReal (ha : a ≠ ∞) (hb : b ≠ ∞) : a.toNNReal ≤ b.toNNReal ↔ a ≤ b :=
⟨fun h => by rwa [← coe_toNNReal ha, ← coe_toNNReal hb, coe_le_coe], toNNReal_mono hb⟩
#align ennreal.to_nnreal_le_to_nnreal ENNReal.toNNReal_le_toNNReal
theorem toNNReal_strict_mono (hb : b ≠ ∞) (h : a < b) : a.toNNReal < b.toNNReal := by
simpa [← ENNReal.coe_lt_coe, hb, h.ne_top]
#align ennreal.to_nnreal_strict_mono ENNReal.toNNReal_strict_mono
@[simp]
theorem toNNReal_lt_toNNReal (ha : a ≠ ∞) (hb : b ≠ ∞) : a.toNNReal < b.toNNReal ↔ a < b :=
⟨fun h => by rwa [← coe_toNNReal ha, ← coe_toNNReal hb, coe_lt_coe], toNNReal_strict_mono hb⟩
#align ennreal.to_nnreal_lt_to_nnreal ENNReal.toNNReal_lt_toNNReal
theorem toReal_max (hr : a ≠ ∞) (hp : b ≠ ∞) :
ENNReal.toReal (max a b) = max (ENNReal.toReal a) (ENNReal.toReal b) :=
(le_total a b).elim
(fun h => by simp only [h, (ENNReal.toReal_le_toReal hr hp).2 h, max_eq_right]) fun h => by
simp only [h, (ENNReal.toReal_le_toReal hp hr).2 h, max_eq_left]
#align ennreal.to_real_max ENNReal.toReal_max
theorem toReal_min {a b : ℝ≥0∞} (hr : a ≠ ∞) (hp : b ≠ ∞) :
ENNReal.toReal (min a b) = min (ENNReal.toReal a) (ENNReal.toReal b) :=
(le_total a b).elim (fun h => by simp only [h, (ENNReal.toReal_le_toReal hr hp).2 h, min_eq_left])
fun h => by simp only [h, (ENNReal.toReal_le_toReal hp hr).2 h, min_eq_right]
#align ennreal.to_real_min ENNReal.toReal_min
theorem toReal_sup {a b : ℝ≥0∞} : a ≠ ∞ → b ≠ ∞ → (a ⊔ b).toReal = a.toReal ⊔ b.toReal :=
toReal_max
#align ennreal.to_real_sup ENNReal.toReal_sup
theorem toReal_inf {a b : ℝ≥0∞} : a ≠ ∞ → b ≠ ∞ → (a ⊓ b).toReal = a.toReal ⊓ b.toReal :=
toReal_min
#align ennreal.to_real_inf ENNReal.toReal_inf
theorem toNNReal_pos_iff : 0 < a.toNNReal ↔ 0 < a ∧ a < ∞ := by
induction a <;> simp
#align ennreal.to_nnreal_pos_iff ENNReal.toNNReal_pos_iff
theorem toNNReal_pos {a : ℝ≥0∞} (ha₀ : a ≠ 0) (ha_top : a ≠ ∞) : 0 < a.toNNReal :=
toNNReal_pos_iff.mpr ⟨bot_lt_iff_ne_bot.mpr ha₀, lt_top_iff_ne_top.mpr ha_top⟩
#align ennreal.to_nnreal_pos ENNReal.toNNReal_pos
theorem toReal_pos_iff : 0 < a.toReal ↔ 0 < a ∧ a < ∞ :=
NNReal.coe_pos.trans toNNReal_pos_iff
#align ennreal.to_real_pos_iff ENNReal.toReal_pos_iff
theorem toReal_pos {a : ℝ≥0∞} (ha₀ : a ≠ 0) (ha_top : a ≠ ∞) : 0 < a.toReal :=
toReal_pos_iff.mpr ⟨bot_lt_iff_ne_bot.mpr ha₀, lt_top_iff_ne_top.mpr ha_top⟩
#align ennreal.to_real_pos ENNReal.toReal_pos
@[gcongr]
theorem ofReal_le_ofReal {p q : ℝ} (h : p ≤ q) : ENNReal.ofReal p ≤ ENNReal.ofReal q := by
simp [ENNReal.ofReal, Real.toNNReal_le_toNNReal h]
#align ennreal.of_real_le_of_real ENNReal.ofReal_le_ofReal
theorem ofReal_le_of_le_toReal {a : ℝ} {b : ℝ≥0∞} (h : a ≤ ENNReal.toReal b) :
ENNReal.ofReal a ≤ b :=
(ofReal_le_ofReal h).trans ofReal_toReal_le
#align ennreal.of_real_le_of_le_to_real ENNReal.ofReal_le_of_le_toReal
@[simp]
theorem ofReal_le_ofReal_iff {p q : ℝ} (h : 0 ≤ q) :
ENNReal.ofReal p ≤ ENNReal.ofReal q ↔ p ≤ q := by
rw [ENNReal.ofReal, ENNReal.ofReal, coe_le_coe, Real.toNNReal_le_toNNReal_iff h]
#align ennreal.of_real_le_of_real_iff ENNReal.ofReal_le_ofReal_iff
lemma ofReal_le_ofReal_iff' {p q : ℝ} : ENNReal.ofReal p ≤ .ofReal q ↔ p ≤ q ∨ p ≤ 0 :=
coe_le_coe.trans Real.toNNReal_le_toNNReal_iff'
lemma ofReal_lt_ofReal_iff' {p q : ℝ} : ENNReal.ofReal p < .ofReal q ↔ p < q ∧ 0 < q :=
coe_lt_coe.trans Real.toNNReal_lt_toNNReal_iff'
@[simp]
theorem ofReal_eq_ofReal_iff {p q : ℝ} (hp : 0 ≤ p) (hq : 0 ≤ q) :
ENNReal.ofReal p = ENNReal.ofReal q ↔ p = q := by
rw [ENNReal.ofReal, ENNReal.ofReal, coe_inj, Real.toNNReal_eq_toNNReal_iff hp hq]
#align ennreal.of_real_eq_of_real_iff ENNReal.ofReal_eq_ofReal_iff
@[simp]
theorem ofReal_lt_ofReal_iff {p q : ℝ} (h : 0 < q) :
ENNReal.ofReal p < ENNReal.ofReal q ↔ p < q := by
rw [ENNReal.ofReal, ENNReal.ofReal, coe_lt_coe, Real.toNNReal_lt_toNNReal_iff h]
#align ennreal.of_real_lt_of_real_iff ENNReal.ofReal_lt_ofReal_iff
theorem ofReal_lt_ofReal_iff_of_nonneg {p q : ℝ} (hp : 0 ≤ p) :
ENNReal.ofReal p < ENNReal.ofReal q ↔ p < q := by
rw [ENNReal.ofReal, ENNReal.ofReal, coe_lt_coe, Real.toNNReal_lt_toNNReal_iff_of_nonneg hp]
#align ennreal.of_real_lt_of_real_iff_of_nonneg ENNReal.ofReal_lt_ofReal_iff_of_nonneg
@[simp]
theorem ofReal_pos {p : ℝ} : 0 < ENNReal.ofReal p ↔ 0 < p := by simp [ENNReal.ofReal]
#align ennreal.of_real_pos ENNReal.ofReal_pos
@[simp]
theorem ofReal_eq_zero {p : ℝ} : ENNReal.ofReal p = 0 ↔ p ≤ 0 := by simp [ENNReal.ofReal]
#align ennreal.of_real_eq_zero ENNReal.ofReal_eq_zero
@[simp]
theorem zero_eq_ofReal {p : ℝ} : 0 = ENNReal.ofReal p ↔ p ≤ 0 :=
eq_comm.trans ofReal_eq_zero
#align ennreal.zero_eq_of_real ENNReal.zero_eq_ofReal
alias ⟨_, ofReal_of_nonpos⟩ := ofReal_eq_zero
#align ennreal.of_real_of_nonpos ENNReal.ofReal_of_nonpos
@[simp]
lemma ofReal_lt_natCast {p : ℝ} {n : ℕ} (hn : n ≠ 0) : ENNReal.ofReal p < n ↔ p < n := by
exact mod_cast ofReal_lt_ofReal_iff (Nat.cast_pos.2 hn.bot_lt)
@[deprecated (since := "2024-04-17")]
alias ofReal_lt_nat_cast := ofReal_lt_natCast
@[simp]
lemma ofReal_lt_one {p : ℝ} : ENNReal.ofReal p < 1 ↔ p < 1 := by
exact mod_cast ofReal_lt_natCast one_ne_zero
@[simp]
lemma ofReal_lt_ofNat {p : ℝ} {n : ℕ} [n.AtLeastTwo] :
ENNReal.ofReal p < no_index (OfNat.ofNat n) ↔ p < OfNat.ofNat n :=
ofReal_lt_natCast (NeZero.ne n)
@[simp]
lemma natCast_le_ofReal {n : ℕ} {p : ℝ} (hn : n ≠ 0) : n ≤ ENNReal.ofReal p ↔ n ≤ p := by
simp only [← not_lt, ofReal_lt_natCast hn]
@[deprecated (since := "2024-04-17")]
alias nat_cast_le_ofReal := natCast_le_ofReal
@[simp]
lemma one_le_ofReal {p : ℝ} : 1 ≤ ENNReal.ofReal p ↔ 1 ≤ p := by
exact mod_cast natCast_le_ofReal one_ne_zero
@[simp]
lemma ofNat_le_ofReal {n : ℕ} [n.AtLeastTwo] {p : ℝ} :
no_index (OfNat.ofNat n) ≤ ENNReal.ofReal p ↔ OfNat.ofNat n ≤ p :=
natCast_le_ofReal (NeZero.ne n)
@[simp]
lemma ofReal_le_natCast {r : ℝ} {n : ℕ} : ENNReal.ofReal r ≤ n ↔ r ≤ n :=
coe_le_coe.trans Real.toNNReal_le_natCast
@[deprecated (since := "2024-04-17")]
alias ofReal_le_nat_cast := ofReal_le_natCast
@[simp]
lemma ofReal_le_one {r : ℝ} : ENNReal.ofReal r ≤ 1 ↔ r ≤ 1 :=
coe_le_coe.trans Real.toNNReal_le_one
@[simp]
lemma ofReal_le_ofNat {r : ℝ} {n : ℕ} [n.AtLeastTwo] :
ENNReal.ofReal r ≤ no_index (OfNat.ofNat n) ↔ r ≤ OfNat.ofNat n :=
ofReal_le_natCast
@[simp]
lemma natCast_lt_ofReal {n : ℕ} {r : ℝ} : n < ENNReal.ofReal r ↔ n < r :=
coe_lt_coe.trans Real.natCast_lt_toNNReal
@[deprecated (since := "2024-04-17")]
alias nat_cast_lt_ofReal := natCast_lt_ofReal
@[simp]
lemma one_lt_ofReal {r : ℝ} : 1 < ENNReal.ofReal r ↔ 1 < r := coe_lt_coe.trans Real.one_lt_toNNReal
@[simp]
lemma ofNat_lt_ofReal {n : ℕ} [n.AtLeastTwo] {r : ℝ} :
no_index (OfNat.ofNat n) < ENNReal.ofReal r ↔ OfNat.ofNat n < r :=
natCast_lt_ofReal
@[simp]
lemma ofReal_eq_natCast {r : ℝ} {n : ℕ} (h : n ≠ 0) : ENNReal.ofReal r = n ↔ r = n :=
ENNReal.coe_inj.trans <| Real.toNNReal_eq_natCast h
@[deprecated (since := "2024-04-17")]
alias ofReal_eq_nat_cast := ofReal_eq_natCast
@[simp]
lemma ofReal_eq_one {r : ℝ} : ENNReal.ofReal r = 1 ↔ r = 1 :=
ENNReal.coe_inj.trans Real.toNNReal_eq_one
@[simp]
lemma ofReal_eq_ofNat {r : ℝ} {n : ℕ} [n.AtLeastTwo] :
ENNReal.ofReal r = no_index (OfNat.ofNat n) ↔ r = OfNat.ofNat n :=
ofReal_eq_natCast (NeZero.ne n)
theorem ofReal_sub (p : ℝ) {q : ℝ} (hq : 0 ≤ q) :
ENNReal.ofReal (p - q) = ENNReal.ofReal p - ENNReal.ofReal q := by
obtain h | h := le_total p q
· rw [ofReal_of_nonpos (sub_nonpos_of_le h), tsub_eq_zero_of_le (ofReal_le_ofReal h)]
refine ENNReal.eq_sub_of_add_eq ofReal_ne_top ?_
rw [← ofReal_add (sub_nonneg_of_le h) hq, sub_add_cancel]
#align ennreal.of_real_sub ENNReal.ofReal_sub
| Mathlib/Data/ENNReal/Real.lean | 320 | 323 | theorem ofReal_le_iff_le_toReal {a : ℝ} {b : ℝ≥0∞} (hb : b ≠ ∞) :
ENNReal.ofReal a ≤ b ↔ a ≤ ENNReal.toReal b := by |
lift b to ℝ≥0 using hb
simpa [ENNReal.ofReal, ENNReal.toReal] using Real.toNNReal_le_iff_le_coe
|
import Mathlib.Geometry.Euclidean.Angle.Oriented.RightAngle
import Mathlib.Geometry.Euclidean.Circumcenter
#align_import geometry.euclidean.angle.sphere from "leanprover-community/mathlib"@"46b633fd842bef9469441c0209906f6dddd2b4f5"
noncomputable section
open FiniteDimensional Complex
open scoped EuclideanGeometry Real RealInnerProductSpace ComplexConjugate
namespace Orientation
variable {V : Type*} [NormedAddCommGroup V] [InnerProductSpace ℝ V]
variable [Fact (finrank ℝ V = 2)] (o : Orientation ℝ V (Fin 2))
| Mathlib/Geometry/Euclidean/Angle/Sphere.lean | 32 | 48 | theorem oangle_eq_two_zsmul_oangle_sub_of_norm_eq {x y z : V} (hxyne : x ≠ y) (hxzne : x ≠ z)
(hxy : ‖x‖ = ‖y‖) (hxz : ‖x‖ = ‖z‖) : o.oangle y z = (2 : ℤ) • o.oangle (y - x) (z - x) := by |
have hy : y ≠ 0 := by
rintro rfl
rw [norm_zero, norm_eq_zero] at hxy
exact hxyne hxy
have hx : x ≠ 0 := norm_ne_zero_iff.1 (hxy.symm ▸ norm_ne_zero_iff.2 hy)
have hz : z ≠ 0 := norm_ne_zero_iff.1 (hxz ▸ norm_ne_zero_iff.2 hx)
calc
o.oangle y z = o.oangle x z - o.oangle x y := (o.oangle_sub_left hx hy hz).symm
_ = π - (2 : ℤ) • o.oangle (x - z) x - (π - (2 : ℤ) • o.oangle (x - y) x) := by
rw [o.oangle_eq_pi_sub_two_zsmul_oangle_sub_of_norm_eq hxzne.symm hxz.symm,
o.oangle_eq_pi_sub_two_zsmul_oangle_sub_of_norm_eq hxyne.symm hxy.symm]
_ = (2 : ℤ) • (o.oangle (x - y) x - o.oangle (x - z) x) := by abel
_ = (2 : ℤ) • o.oangle (x - y) (x - z) := by
rw [o.oangle_sub_right (sub_ne_zero_of_ne hxyne) (sub_ne_zero_of_ne hxzne) hx]
_ = (2 : ℤ) • o.oangle (y - x) (z - x) := by rw [← oangle_neg_neg, neg_sub, neg_sub]
|
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
| Mathlib/Analysis/SpecialFunctions/Trigonometric/Angle.lean | 243 | 264 | 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]
|
import Mathlib.Algebra.MonoidAlgebra.Support
import Mathlib.Algebra.Polynomial.Basic
import Mathlib.Algebra.Regular.Basic
import Mathlib.Data.Nat.Choose.Sum
#align_import data.polynomial.coeff from "leanprover-community/mathlib"@"2651125b48fc5c170ab1111afd0817c903b1fc6c"
set_option linter.uppercaseLean3 false
noncomputable section
open Finsupp Finset AddMonoidAlgebra
open Polynomial
namespace Polynomial
universe u v
variable {R : Type u} {S : Type v} {a b : R} {n m : ℕ}
variable [Semiring R] {p q r : R[X]}
section Coeff
@[simp]
theorem coeff_add (p q : R[X]) (n : ℕ) : coeff (p + q) n = coeff p n + coeff q n := by
rcases p with ⟨⟩
rcases q with ⟨⟩
simp_rw [← ofFinsupp_add, coeff]
exact Finsupp.add_apply _ _ _
#align polynomial.coeff_add Polynomial.coeff_add
set_option linter.deprecated false in
@[simp]
theorem coeff_bit0 (p : R[X]) (n : ℕ) : coeff (bit0 p) n = bit0 (coeff p n) := by simp [bit0]
#align polynomial.coeff_bit0 Polynomial.coeff_bit0
@[simp]
theorem coeff_smul [SMulZeroClass S R] (r : S) (p : R[X]) (n : ℕ) :
coeff (r • p) n = r • coeff p n := by
rcases p with ⟨⟩
simp_rw [← ofFinsupp_smul, coeff]
exact Finsupp.smul_apply _ _ _
#align polynomial.coeff_smul Polynomial.coeff_smul
theorem support_smul [SMulZeroClass S R] (r : S) (p : R[X]) :
support (r • p) ⊆ support p := by
intro i hi
simp? [mem_support_iff] at hi ⊢ says simp only [mem_support_iff, coeff_smul, ne_eq] at hi ⊢
contrapose! hi
simp [hi]
#align polynomial.support_smul Polynomial.support_smul
open scoped Pointwise in
theorem card_support_mul_le : (p * q).support.card ≤ p.support.card * q.support.card := by
calc (p * q).support.card
_ = (p.toFinsupp * q.toFinsupp).support.card := by rw [← support_toFinsupp, toFinsupp_mul]
_ ≤ (p.toFinsupp.support + q.toFinsupp.support).card :=
Finset.card_le_card (AddMonoidAlgebra.support_mul p.toFinsupp q.toFinsupp)
_ ≤ p.support.card * q.support.card := Finset.card_image₂_le ..
@[simps]
def lsum {R A M : Type*} [Semiring R] [Semiring A] [AddCommMonoid M] [Module R A] [Module R M]
(f : ℕ → A →ₗ[R] M) : A[X] →ₗ[R] M where
toFun p := p.sum (f · ·)
map_add' p q := sum_add_index p q _ (fun n => (f n).map_zero) fun n _ _ => (f n).map_add _ _
map_smul' c p := by
-- Porting note: added `dsimp only`; `beta_reduce` alone is not sufficient
dsimp only
rw [sum_eq_of_subset (f · ·) (fun n => (f n).map_zero) (support_smul c p)]
simp only [sum_def, Finset.smul_sum, coeff_smul, LinearMap.map_smul, RingHom.id_apply]
#align polynomial.lsum Polynomial.lsum
#align polynomial.lsum_apply Polynomial.lsum_apply
variable (R)
def lcoeff (n : ℕ) : R[X] →ₗ[R] R where
toFun p := coeff p n
map_add' p q := coeff_add p q n
map_smul' r p := coeff_smul r p n
#align polynomial.lcoeff Polynomial.lcoeff
variable {R}
@[simp]
theorem lcoeff_apply (n : ℕ) (f : R[X]) : lcoeff R n f = coeff f n :=
rfl
#align polynomial.lcoeff_apply Polynomial.lcoeff_apply
@[simp]
theorem finset_sum_coeff {ι : Type*} (s : Finset ι) (f : ι → R[X]) (n : ℕ) :
coeff (∑ b ∈ s, f b) n = ∑ b ∈ s, coeff (f b) n :=
map_sum (lcoeff R n) _ _
#align polynomial.finset_sum_coeff Polynomial.finset_sum_coeff
lemma coeff_list_sum (l : List R[X]) (n : ℕ) :
l.sum.coeff n = (l.map (lcoeff R n)).sum :=
map_list_sum (lcoeff R n) _
lemma coeff_list_sum_map {ι : Type*} (l : List ι) (f : ι → R[X]) (n : ℕ) :
(l.map f).sum.coeff n = (l.map (fun a => (f a).coeff n)).sum := by
simp_rw [coeff_list_sum, List.map_map, Function.comp, lcoeff_apply]
theorem coeff_sum [Semiring S] (n : ℕ) (f : ℕ → R → S[X]) :
coeff (p.sum f) n = p.sum fun a b => coeff (f a b) n := by
rcases p with ⟨⟩
-- porting note (#10745): was `simp [Polynomial.sum, support, coeff]`.
simp [Polynomial.sum, support_ofFinsupp, coeff_ofFinsupp]
#align polynomial.coeff_sum Polynomial.coeff_sum
theorem coeff_mul (p q : R[X]) (n : ℕ) :
coeff (p * q) n = ∑ x ∈ antidiagonal n, coeff p x.1 * coeff q x.2 := by
rcases p with ⟨p⟩; rcases q with ⟨q⟩
simp_rw [← ofFinsupp_mul, coeff]
exact AddMonoidAlgebra.mul_apply_antidiagonal p q n _ Finset.mem_antidiagonal
#align polynomial.coeff_mul Polynomial.coeff_mul
@[simp]
theorem mul_coeff_zero (p q : R[X]) : coeff (p * q) 0 = coeff p 0 * coeff q 0 := by simp [coeff_mul]
#align polynomial.mul_coeff_zero Polynomial.mul_coeff_zero
@[simps]
def constantCoeff : R[X] →+* R where
toFun p := coeff p 0
map_one' := coeff_one_zero
map_mul' := mul_coeff_zero
map_zero' := coeff_zero 0
map_add' p q := coeff_add p q 0
#align polynomial.constant_coeff Polynomial.constantCoeff
#align polynomial.constant_coeff_apply Polynomial.constantCoeff_apply
theorem isUnit_C {x : R} : IsUnit (C x) ↔ IsUnit x :=
⟨fun h => (congr_arg IsUnit coeff_C_zero).mp (h.map <| @constantCoeff R _), fun h => h.map C⟩
#align polynomial.is_unit_C Polynomial.isUnit_C
theorem coeff_mul_X_zero (p : R[X]) : coeff (p * X) 0 = 0 := by simp
#align polynomial.coeff_mul_X_zero Polynomial.coeff_mul_X_zero
theorem coeff_X_mul_zero (p : R[X]) : coeff (X * p) 0 = 0 := by simp
#align polynomial.coeff_X_mul_zero Polynomial.coeff_X_mul_zero
theorem coeff_C_mul_X_pow (x : R) (k n : ℕ) :
coeff (C x * X ^ k : R[X]) n = if n = k then x else 0 := by
rw [C_mul_X_pow_eq_monomial, coeff_monomial]
congr 1
simp [eq_comm]
#align polynomial.coeff_C_mul_X_pow Polynomial.coeff_C_mul_X_pow
theorem coeff_C_mul_X (x : R) (n : ℕ) : coeff (C x * X : R[X]) n = if n = 1 then x else 0 := by
rw [← pow_one X, coeff_C_mul_X_pow]
#align polynomial.coeff_C_mul_X Polynomial.coeff_C_mul_X
@[simp]
theorem coeff_C_mul (p : R[X]) : coeff (C a * p) n = a * coeff p n := by
rcases p with ⟨p⟩
simp_rw [← monomial_zero_left, ← ofFinsupp_single, ← ofFinsupp_mul, coeff]
exact AddMonoidAlgebra.single_zero_mul_apply p a n
#align polynomial.coeff_C_mul Polynomial.coeff_C_mul
theorem C_mul' (a : R) (f : R[X]) : C a * f = a • f := by
ext
rw [coeff_C_mul, coeff_smul, smul_eq_mul]
#align polynomial.C_mul' Polynomial.C_mul'
@[simp]
theorem coeff_mul_C (p : R[X]) (n : ℕ) (a : R) : coeff (p * C a) n = coeff p n * a := by
rcases p with ⟨p⟩
simp_rw [← monomial_zero_left, ← ofFinsupp_single, ← ofFinsupp_mul, coeff]
exact AddMonoidAlgebra.mul_single_zero_apply p a n
#align polynomial.coeff_mul_C Polynomial.coeff_mul_C
@[simp] lemma coeff_mul_natCast {a k : ℕ} :
coeff (p * (a : R[X])) k = coeff p k * (↑a : R) := coeff_mul_C _ _ _
@[simp] lemma coeff_natCast_mul {a k : ℕ} :
coeff ((a : R[X]) * p) k = a * coeff p k := coeff_C_mul _
-- See note [no_index around OfNat.ofNat]
@[simp] lemma coeff_mul_ofNat {a k : ℕ} [Nat.AtLeastTwo a] :
coeff (p * (no_index (OfNat.ofNat a) : R[X])) k = coeff p k * OfNat.ofNat a := coeff_mul_C _ _ _
-- See note [no_index around OfNat.ofNat]
@[simp] lemma coeff_ofNat_mul {a k : ℕ} [Nat.AtLeastTwo a] :
coeff ((no_index (OfNat.ofNat a) : R[X]) * p) k = OfNat.ofNat a * coeff p k := coeff_C_mul _
@[simp] lemma coeff_mul_intCast [Ring S] {p : S[X]} {a : ℤ} {k : ℕ} :
coeff (p * (a : S[X])) k = coeff p k * (↑a : S) := coeff_mul_C _ _ _
@[simp] lemma coeff_intCast_mul [Ring S] {p : S[X]} {a : ℤ} {k : ℕ} :
coeff ((a : S[X]) * p) k = a * coeff p k := coeff_C_mul _
@[simp]
theorem coeff_X_pow (k n : ℕ) : coeff (X ^ k : R[X]) n = if n = k then 1 else 0 := by
simp only [one_mul, RingHom.map_one, ← coeff_C_mul_X_pow]
#align polynomial.coeff_X_pow Polynomial.coeff_X_pow
theorem coeff_X_pow_self (n : ℕ) : coeff (X ^ n : R[X]) n = 1 := by simp
#align polynomial.coeff_X_pow_self Polynomial.coeff_X_pow_self
@[simp]
theorem coeff_mul_X_pow (p : R[X]) (n d : ℕ) :
coeff (p * Polynomial.X ^ n) (d + n) = coeff p d := by
rw [coeff_mul, Finset.sum_eq_single (d, n), coeff_X_pow, if_pos rfl, mul_one]
· rintro ⟨i, j⟩ h1 h2
rw [coeff_X_pow, if_neg, mul_zero]
rintro rfl
apply h2
rw [mem_antidiagonal, add_right_cancel_iff] at h1
subst h1
rfl
· exact fun h1 => (h1 (mem_antidiagonal.2 rfl)).elim
#align polynomial.coeff_mul_X_pow Polynomial.coeff_mul_X_pow
@[simp]
theorem coeff_X_pow_mul (p : R[X]) (n d : ℕ) :
coeff (Polynomial.X ^ n * p) (d + n) = coeff p d := by
rw [(commute_X_pow p n).eq, coeff_mul_X_pow]
#align polynomial.coeff_X_pow_mul Polynomial.coeff_X_pow_mul
theorem coeff_mul_X_pow' (p : R[X]) (n d : ℕ) :
(p * X ^ n).coeff d = ite (n ≤ d) (p.coeff (d - n)) 0 := by
split_ifs with h
· rw [← tsub_add_cancel_of_le h, coeff_mul_X_pow, add_tsub_cancel_right]
· refine (coeff_mul _ _ _).trans (Finset.sum_eq_zero fun x hx => ?_)
rw [coeff_X_pow, if_neg, mul_zero]
exact ((le_of_add_le_right (mem_antidiagonal.mp hx).le).trans_lt <| not_le.mp h).ne
#align polynomial.coeff_mul_X_pow' Polynomial.coeff_mul_X_pow'
theorem coeff_X_pow_mul' (p : R[X]) (n d : ℕ) :
(X ^ n * p).coeff d = ite (n ≤ d) (p.coeff (d - n)) 0 := by
rw [(commute_X_pow p n).eq, coeff_mul_X_pow']
#align polynomial.coeff_X_pow_mul' Polynomial.coeff_X_pow_mul'
@[simp]
theorem coeff_mul_X (p : R[X]) (n : ℕ) : coeff (p * X) (n + 1) = coeff p n := by
simpa only [pow_one] using coeff_mul_X_pow p 1 n
#align polynomial.coeff_mul_X Polynomial.coeff_mul_X
@[simp]
theorem coeff_X_mul (p : R[X]) (n : ℕ) : coeff (X * p) (n + 1) = coeff p n := by
rw [(commute_X p).eq, coeff_mul_X]
#align polynomial.coeff_X_mul Polynomial.coeff_X_mul
theorem coeff_mul_monomial (p : R[X]) (n d : ℕ) (r : R) :
coeff (p * monomial n r) (d + n) = coeff p d * r := by
rw [← C_mul_X_pow_eq_monomial, ← X_pow_mul, ← mul_assoc, coeff_mul_C, coeff_mul_X_pow]
#align polynomial.coeff_mul_monomial Polynomial.coeff_mul_monomial
theorem coeff_monomial_mul (p : R[X]) (n d : ℕ) (r : R) :
coeff (monomial n r * p) (d + n) = r * coeff p d := by
rw [← C_mul_X_pow_eq_monomial, mul_assoc, coeff_C_mul, X_pow_mul, coeff_mul_X_pow]
#align polynomial.coeff_monomial_mul Polynomial.coeff_monomial_mul
-- This can already be proved by `simp`.
theorem coeff_mul_monomial_zero (p : R[X]) (d : ℕ) (r : R) :
coeff (p * monomial 0 r) d = coeff p d * r :=
coeff_mul_monomial p 0 d r
#align polynomial.coeff_mul_monomial_zero Polynomial.coeff_mul_monomial_zero
-- This can already be proved by `simp`.
theorem coeff_monomial_zero_mul (p : R[X]) (d : ℕ) (r : R) :
coeff (monomial 0 r * p) d = r * coeff p d :=
coeff_monomial_mul p 0 d r
#align polynomial.coeff_monomial_zero_mul Polynomial.coeff_monomial_zero_mul
theorem mul_X_pow_eq_zero {p : R[X]} {n : ℕ} (H : p * X ^ n = 0) : p = 0 :=
ext fun k => (coeff_mul_X_pow p n k).symm.trans <| ext_iff.1 H (k + n)
#align polynomial.mul_X_pow_eq_zero Polynomial.mul_X_pow_eq_zero
theorem isRegular_X_pow (n : ℕ) : IsRegular (X ^ n : R[X]) := by
suffices IsLeftRegular (X^n : R[X]) from
⟨this, this.right_of_commute (fun p => commute_X_pow p n)⟩
intro P Q (hPQ : X^n * P = X^n * Q)
ext i
rw [← coeff_X_pow_mul P n i, hPQ, coeff_X_pow_mul Q n i]
@[simp] theorem isRegular_X : IsRegular (X : R[X]) := pow_one (X : R[X]) ▸ isRegular_X_pow 1
theorem coeff_X_add_C_pow (r : R) (n k : ℕ) :
((X + C r) ^ n).coeff k = r ^ (n - k) * (n.choose k : R) := by
rw [(commute_X (C r : R[X])).add_pow, ← lcoeff_apply, map_sum]
simp only [one_pow, mul_one, lcoeff_apply, ← C_eq_natCast, ← C_pow, coeff_mul_C, Nat.cast_id]
rw [Finset.sum_eq_single k, coeff_X_pow_self, one_mul]
· intro _ _ h
simp [coeff_X_pow, h.symm]
· simp only [coeff_X_pow_self, one_mul, not_lt, Finset.mem_range]
intro h
rw [Nat.choose_eq_zero_of_lt h, Nat.cast_zero, mul_zero]
#align polynomial.coeff_X_add_C_pow Polynomial.coeff_X_add_C_pow
theorem coeff_X_add_one_pow (R : Type*) [Semiring R] (n k : ℕ) :
((X + 1) ^ n).coeff k = (n.choose k : R) := by rw [← C_1, coeff_X_add_C_pow, one_pow, one_mul]
#align polynomial.coeff_X_add_one_pow Polynomial.coeff_X_add_one_pow
theorem coeff_one_add_X_pow (R : Type*) [Semiring R] (n k : ℕ) :
((1 + X) ^ n).coeff k = (n.choose k : R) := by rw [add_comm _ X, coeff_X_add_one_pow]
#align polynomial.coeff_one_add_X_pow Polynomial.coeff_one_add_X_pow
| Mathlib/Algebra/Polynomial/Coeff.lean | 357 | 374 | theorem C_dvd_iff_dvd_coeff (r : R) (φ : R[X]) : C r ∣ φ ↔ ∀ i, r ∣ φ.coeff i := by |
constructor
· rintro ⟨φ, rfl⟩ c
rw [coeff_C_mul]
apply dvd_mul_right
· intro h
choose c hc using h
classical
let c' : ℕ → R := fun i => if i ∈ φ.support then c i else 0
let ψ : R[X] := ∑ i ∈ φ.support, monomial i (c' i)
use ψ
ext i
simp only [c', ψ, coeff_C_mul, mem_support_iff, coeff_monomial, finset_sum_coeff,
Finset.sum_ite_eq']
split_ifs with hi
· rw [hc]
· rw [Classical.not_not] at hi
rwa [mul_zero]
|
import Mathlib.RingTheory.WittVector.IsPoly
#align_import ring_theory.witt_vector.mul_p from "leanprover-community/mathlib"@"7abfbc92eec87190fba3ed3d5ec58e7c167e7144"
namespace WittVector
variable {p : ℕ} {R : Type*} [hp : Fact p.Prime] [CommRing R]
local notation "𝕎" => WittVector p -- type as `\bbW`
open MvPolynomial
noncomputable section
variable (p)
noncomputable def wittMulN : ℕ → ℕ → MvPolynomial ℕ ℤ
| 0 => 0
| n + 1 => fun k => bind₁ (Function.uncurry <| ![wittMulN n, X]) (wittAdd p k)
#align witt_vector.witt_mul_n WittVector.wittMulN
variable {p}
| Mathlib/RingTheory/WittVector/MulP.lean | 50 | 60 | theorem mulN_coeff (n : ℕ) (x : 𝕎 R) (k : ℕ) :
(x * n).coeff k = aeval x.coeff (wittMulN p n k) := by |
induction' n with n ih generalizing k
· simp only [Nat.zero_eq, Nat.cast_zero, mul_zero, zero_coeff, wittMulN,
AlgHom.map_zero, Pi.zero_apply]
· rw [wittMulN, Nat.cast_add, Nat.cast_one, mul_add, mul_one, aeval_bind₁, add_coeff]
apply eval₂Hom_congr (RingHom.ext_int _ _) _ rfl
ext1 ⟨b, i⟩
fin_cases b
· simp [Function.uncurry, Matrix.cons_val_zero, ih]
· simp [Function.uncurry, Matrix.cons_val_one, Matrix.head_cons, aeval_X]
|
import Mathlib.Data.Fintype.Option
import Mathlib.Data.Fintype.Prod
import Mathlib.Data.Fintype.Pi
import Mathlib.Data.Vector.Basic
import Mathlib.Data.PFun
import Mathlib.Logic.Function.Iterate
import Mathlib.Order.Basic
import Mathlib.Tactic.ApplyFun
#align_import computability.turing_machine from "leanprover-community/mathlib"@"4c19a16e4b705bf135cf9a80ac18fcc99c438514"
assert_not_exists MonoidWithZero
open Relation
open Nat (iterate)
open Function (update iterate_succ iterate_succ_apply iterate_succ' iterate_succ_apply'
iterate_zero_apply)
namespace Turing
def BlankExtends {Γ} [Inhabited Γ] (l₁ l₂ : List Γ) : Prop :=
∃ n, l₂ = l₁ ++ List.replicate n default
#align turing.blank_extends Turing.BlankExtends
@[refl]
theorem BlankExtends.refl {Γ} [Inhabited Γ] (l : List Γ) : BlankExtends l l :=
⟨0, by simp⟩
#align turing.blank_extends.refl Turing.BlankExtends.refl
@[trans]
theorem BlankExtends.trans {Γ} [Inhabited Γ] {l₁ l₂ l₃ : List Γ} :
BlankExtends l₁ l₂ → BlankExtends l₂ l₃ → BlankExtends l₁ l₃ := by
rintro ⟨i, rfl⟩ ⟨j, rfl⟩
exact ⟨i + j, by simp [List.replicate_add]⟩
#align turing.blank_extends.trans Turing.BlankExtends.trans
| Mathlib/Computability/TuringMachine.lean | 91 | 95 | theorem BlankExtends.below_of_le {Γ} [Inhabited Γ] {l l₁ l₂ : List Γ} :
BlankExtends l l₁ → BlankExtends l l₂ → l₁.length ≤ l₂.length → BlankExtends l₁ l₂ := by |
rintro ⟨i, rfl⟩ ⟨j, rfl⟩ h; use j - i
simp only [List.length_append, Nat.add_le_add_iff_left, List.length_replicate] at h
simp only [← List.replicate_add, Nat.add_sub_cancel' h, List.append_assoc]
|
import Mathlib.Combinatorics.Enumerative.DoubleCounting
import Mathlib.Combinatorics.SimpleGraph.AdjMatrix
import Mathlib.Combinatorics.SimpleGraph.Basic
import Mathlib.Data.Set.Finite
#align_import combinatorics.simple_graph.strongly_regular from "leanprover-community/mathlib"@"2b35fc7bea4640cb75e477e83f32fbd538920822"
open Finset
universe u
namespace SimpleGraph
variable {V : Type u} [Fintype V] [DecidableEq V]
variable (G : SimpleGraph V) [DecidableRel G.Adj]
structure IsSRGWith (n k ℓ μ : ℕ) : Prop where
card : Fintype.card V = n
regular : G.IsRegularOfDegree k
of_adj : ∀ v w : V, G.Adj v w → Fintype.card (G.commonNeighbors v w) = ℓ
of_not_adj : Pairwise fun v w => ¬G.Adj v w → Fintype.card (G.commonNeighbors v w) = μ
set_option linter.uppercaseLean3 false in
#align simple_graph.is_SRG_with SimpleGraph.IsSRGWith
variable {G} {n k ℓ μ : ℕ}
theorem bot_strongly_regular : (⊥ : SimpleGraph V).IsSRGWith (Fintype.card V) 0 ℓ 0 where
card := rfl
regular := bot_degree
of_adj := fun v w h => h.elim
of_not_adj := fun v w _h => by
simp only [card_eq_zero, Fintype.card_ofFinset, forall_true_left, not_false_iff, bot_adj]
ext
simp [mem_commonNeighbors]
#align simple_graph.bot_strongly_regular SimpleGraph.bot_strongly_regular
theorem IsSRGWith.top :
(⊤ : SimpleGraph V).IsSRGWith (Fintype.card V) (Fintype.card V - 1) (Fintype.card V - 2) μ where
card := rfl
regular := IsRegularOfDegree.top
of_adj := fun v w h => by
rw [card_commonNeighbors_top]
exact h
of_not_adj := fun v w h h' => False.elim (h' ((top_adj v w).2 h))
set_option linter.uppercaseLean3 false in
#align simple_graph.is_SRG_with.top SimpleGraph.IsSRGWith.top
theorem IsSRGWith.card_neighborFinset_union_eq {v w : V} (h : G.IsSRGWith n k ℓ μ) :
(G.neighborFinset v ∪ G.neighborFinset w).card =
2 * k - Fintype.card (G.commonNeighbors v w) := by
apply Nat.add_right_cancel (m := Fintype.card (G.commonNeighbors v w))
rw [Nat.sub_add_cancel, ← Set.toFinset_card]
-- Porting note: Set.toFinset_inter needs workaround to use unification to solve for one of the
-- instance arguments:
· simp [commonNeighbors, @Set.toFinset_inter _ _ _ _ _ _ (_),
← neighborFinset_def, Finset.card_union_add_card_inter, card_neighborFinset_eq_degree,
h.regular.degree_eq, two_mul]
· apply le_trans (card_commonNeighbors_le_degree_left _ _ _)
simp [h.regular.degree_eq, two_mul]
set_option linter.uppercaseLean3 false in
#align simple_graph.is_SRG_with.card_neighbor_finset_union_eq SimpleGraph.IsSRGWith.card_neighborFinset_union_eq
theorem IsSRGWith.card_neighborFinset_union_of_not_adj {v w : V} (h : G.IsSRGWith n k ℓ μ)
(hne : v ≠ w) (ha : ¬G.Adj v w) :
(G.neighborFinset v ∪ G.neighborFinset w).card = 2 * k - μ := by
rw [← h.of_not_adj hne ha]
apply h.card_neighborFinset_union_eq
set_option linter.uppercaseLean3 false in
#align simple_graph.is_SRG_with.card_neighbor_finset_union_of_not_adj SimpleGraph.IsSRGWith.card_neighborFinset_union_of_not_adj
theorem IsSRGWith.card_neighborFinset_union_of_adj {v w : V} (h : G.IsSRGWith n k ℓ μ)
(ha : G.Adj v w) : (G.neighborFinset v ∪ G.neighborFinset w).card = 2 * k - ℓ := by
rw [← h.of_adj v w ha]
apply h.card_neighborFinset_union_eq
set_option linter.uppercaseLean3 false in
#align simple_graph.is_SRG_with.card_neighbor_finset_union_of_adj SimpleGraph.IsSRGWith.card_neighborFinset_union_of_adj
theorem compl_neighborFinset_sdiff_inter_eq {v w : V} :
(G.neighborFinset v)ᶜ \ {v} ∩ ((G.neighborFinset w)ᶜ \ {w}) =
((G.neighborFinset v)ᶜ ∩ (G.neighborFinset w)ᶜ) \ ({w} ∪ {v}) := by
ext
rw [← not_iff_not]
simp [imp_iff_not_or, or_assoc, or_comm, or_left_comm]
#align simple_graph.compl_neighbor_finset_sdiff_inter_eq SimpleGraph.compl_neighborFinset_sdiff_inter_eq
theorem sdiff_compl_neighborFinset_inter_eq {v w : V} (h : G.Adj v w) :
((G.neighborFinset v)ᶜ ∩ (G.neighborFinset w)ᶜ) \ ({w} ∪ {v}) =
(G.neighborFinset v)ᶜ ∩ (G.neighborFinset w)ᶜ := by
ext
simp only [and_imp, mem_union, mem_sdiff, mem_compl, and_iff_left_iff_imp, mem_neighborFinset,
mem_inter, mem_singleton]
rintro hnv hnw (rfl | rfl)
· exact hnv h
· apply hnw
rwa [adj_comm]
#align simple_graph.sdiff_compl_neighbor_finset_inter_eq SimpleGraph.sdiff_compl_neighborFinset_inter_eq
theorem IsSRGWith.compl_is_regular (h : G.IsSRGWith n k ℓ μ) :
Gᶜ.IsRegularOfDegree (n - k - 1) := by
rw [← h.card, Nat.sub_sub, add_comm, ← Nat.sub_sub]
exact h.regular.compl
set_option linter.uppercaseLean3 false in
#align simple_graph.is_SRG_with.compl_is_regular SimpleGraph.IsSRGWith.compl_is_regular
theorem IsSRGWith.card_commonNeighbors_eq_of_adj_compl (h : G.IsSRGWith n k ℓ μ) {v w : V}
(ha : Gᶜ.Adj v w) : Fintype.card (Gᶜ.commonNeighbors v w) = n - (2 * k - μ) - 2 := by
simp only [← Set.toFinset_card, commonNeighbors, Set.toFinset_inter, neighborSet_compl,
Set.toFinset_diff, Set.toFinset_singleton, Set.toFinset_compl, ← neighborFinset_def]
simp_rw [compl_neighborFinset_sdiff_inter_eq]
have hne : v ≠ w := ne_of_adj _ ha
rw [compl_adj] at ha
rw [card_sdiff, ← insert_eq, card_insert_of_not_mem, card_singleton, ← Finset.compl_union]
· rw [card_compl, h.card_neighborFinset_union_of_not_adj hne ha.2, ← h.card]
· simp only [hne.symm, not_false_iff, mem_singleton]
· intro u
simp only [mem_union, mem_compl, mem_neighborFinset, mem_inter, mem_singleton]
rintro (rfl | rfl) <;> simpa [adj_comm] using ha.2
set_option linter.uppercaseLean3 false in
#align simple_graph.is_SRG_with.card_common_neighbors_eq_of_adj_compl SimpleGraph.IsSRGWith.card_commonNeighbors_eq_of_adj_compl
theorem IsSRGWith.card_commonNeighbors_eq_of_not_adj_compl (h : G.IsSRGWith n k ℓ μ) {v w : V}
(hn : v ≠ w) (hna : ¬Gᶜ.Adj v w) :
Fintype.card (Gᶜ.commonNeighbors v w) = n - (2 * k - ℓ) := by
simp only [← Set.toFinset_card, commonNeighbors, Set.toFinset_inter, neighborSet_compl,
Set.toFinset_diff, Set.toFinset_singleton, Set.toFinset_compl, ← neighborFinset_def]
simp only [not_and, Classical.not_not, compl_adj] at hna
have h2' := hna hn
simp_rw [compl_neighborFinset_sdiff_inter_eq, sdiff_compl_neighborFinset_inter_eq h2']
rwa [← Finset.compl_union, card_compl, h.card_neighborFinset_union_of_adj, ← h.card]
set_option linter.uppercaseLean3 false in
#align simple_graph.is_SRG_with.card_common_neighbors_eq_of_not_adj_compl SimpleGraph.IsSRGWith.card_commonNeighbors_eq_of_not_adj_compl
theorem IsSRGWith.compl (h : G.IsSRGWith n k ℓ μ) :
Gᶜ.IsSRGWith n (n - k - 1) (n - (2 * k - μ) - 2) (n - (2 * k - ℓ)) where
card := h.card
regular := h.compl_is_regular
of_adj := fun _v _w ha => h.card_commonNeighbors_eq_of_adj_compl ha
of_not_adj := fun _v _w hn hna => h.card_commonNeighbors_eq_of_not_adj_compl hn hna
set_option linter.uppercaseLean3 false in
#align simple_graph.is_SRG_with.compl SimpleGraph.IsSRGWith.compl
theorem IsSRGWith.param_eq (h : G.IsSRGWith n k ℓ μ) (hn : 0 < n) :
k * (k - ℓ - 1) = (n - k - 1) * μ := by
letI := Classical.decEq V
rw [← h.card, Fintype.card_pos_iff] at hn
obtain ⟨v⟩ := hn
convert card_mul_eq_card_mul G.Adj (s := G.neighborFinset v) (t := Gᶜ.neighborFinset v) _ _
· simp [h.regular v]
· simp [h.compl.regular v]
· intro w hw
rw [mem_neighborFinset] at hw
simp_rw [bipartiteAbove]
-- This used to be part of the enclosing `simp_rw` chain,
-- but after leanprover/lean4#3124 it caused a maximum recursion depth error.
change Finset.card (filter (fun a => Adj G w a) _) = _
simp_rw [← mem_neighborFinset, filter_mem_eq_inter]
have s : {v} ⊆ G.neighborFinset w \ G.neighborFinset v := by
rw [singleton_subset_iff, mem_sdiff, mem_neighborFinset]
exact ⟨hw.symm, G.not_mem_neighborFinset_self v⟩
rw [inter_comm, neighborFinset_compl, ← inter_sdiff_assoc, ← sdiff_eq_inter_compl, card_sdiff s,
card_singleton, ← sdiff_inter_self_left, card_sdiff (by apply inter_subset_left)]
congr
· simp [h.regular w]
· simp_rw [inter_comm, neighborFinset_def, ← Set.toFinset_inter, ← h.of_adj v w hw,
← Set.toFinset_card]
congr!
· intro w hw
simp_rw [neighborFinset_compl, mem_sdiff, mem_compl, mem_singleton, mem_neighborFinset,
← Ne.eq_def] at hw
simp_rw [bipartiteBelow, adj_comm, ← mem_neighborFinset, filter_mem_eq_inter,
neighborFinset_def, ← Set.toFinset_inter, ← h.of_not_adj hw.2.symm hw.1,
← Set.toFinset_card]
congr!
| Mathlib/Combinatorics/SimpleGraph/StronglyRegular.lean | 221 | 235 | theorem IsSRGWith.matrix_eq {α : Type*} [Semiring α] (h : G.IsSRGWith n k ℓ μ) :
G.adjMatrix α ^ 2 = k • (1 : Matrix V V α) + ℓ • G.adjMatrix α + μ • Gᶜ.adjMatrix α := by |
ext v w
simp only [adjMatrix_pow_apply_eq_card_walk, Set.coe_setOf, Matrix.add_apply, Matrix.smul_apply,
adjMatrix_apply, compl_adj]
rw [Fintype.card_congr (G.walkLengthTwoEquivCommonNeighbors v w)]
obtain rfl | hn := eq_or_ne v w
· rw [← Set.toFinset_card]
simp [commonNeighbors, ← neighborFinset_def, h.regular v]
· simp only [Matrix.one_apply_ne' hn.symm, ne_eq, hn]
by_cases ha : G.Adj v w <;>
simp only [ha, ite_true, ite_false, add_zero, zero_add, nsmul_eq_mul, smul_zero, mul_one,
not_true_eq_false, not_false_eq_true, and_false, and_self]
· rw [h.of_adj v w ha]
· rw [h.of_not_adj hn ha]
|
import Mathlib.Algebra.Polynomial.Module.Basic
import Mathlib.Analysis.Calculus.Deriv.Pow
import Mathlib.Analysis.Calculus.IteratedDeriv.Defs
import Mathlib.Analysis.Calculus.MeanValue
#align_import analysis.calculus.taylor from "leanprover-community/mathlib"@"3a69562db5a458db8322b190ec8d9a8bbd8a5b14"
open scoped Interval Topology Nat
open Set
variable {𝕜 E F : Type*}
variable [NormedAddCommGroup E] [NormedSpace ℝ E]
noncomputable def taylorCoeffWithin (f : ℝ → E) (k : ℕ) (s : Set ℝ) (x₀ : ℝ) : E :=
(k ! : ℝ)⁻¹ • iteratedDerivWithin k f s x₀
#align taylor_coeff_within taylorCoeffWithin
noncomputable def taylorWithin (f : ℝ → E) (n : ℕ) (s : Set ℝ) (x₀ : ℝ) : PolynomialModule ℝ E :=
(Finset.range (n + 1)).sum fun k =>
PolynomialModule.comp (Polynomial.X - Polynomial.C x₀)
(PolynomialModule.single ℝ k (taylorCoeffWithin f k s x₀))
#align taylor_within taylorWithin
noncomputable def taylorWithinEval (f : ℝ → E) (n : ℕ) (s : Set ℝ) (x₀ x : ℝ) : E :=
PolynomialModule.eval x (taylorWithin f n s x₀)
#align taylor_within_eval taylorWithinEval
theorem taylorWithin_succ (f : ℝ → E) (n : ℕ) (s : Set ℝ) (x₀ : ℝ) :
taylorWithin f (n + 1) s x₀ = taylorWithin f n s x₀ +
PolynomialModule.comp (Polynomial.X - Polynomial.C x₀)
(PolynomialModule.single ℝ (n + 1) (taylorCoeffWithin f (n + 1) s x₀)) := by
dsimp only [taylorWithin]
rw [Finset.sum_range_succ]
#align taylor_within_succ taylorWithin_succ
@[simp]
theorem taylorWithinEval_succ (f : ℝ → E) (n : ℕ) (s : Set ℝ) (x₀ x : ℝ) :
taylorWithinEval f (n + 1) s x₀ x = taylorWithinEval f n s x₀ x +
(((n + 1 : ℝ) * n !)⁻¹ * (x - x₀) ^ (n + 1)) • iteratedDerivWithin (n + 1) f s x₀ := by
simp_rw [taylorWithinEval, taylorWithin_succ, LinearMap.map_add, PolynomialModule.comp_eval]
congr
simp only [Polynomial.eval_sub, Polynomial.eval_X, Polynomial.eval_C,
PolynomialModule.eval_single, mul_inv_rev]
dsimp only [taylorCoeffWithin]
rw [← mul_smul, mul_comm, Nat.factorial_succ, Nat.cast_mul, Nat.cast_add, Nat.cast_one,
mul_inv_rev]
#align taylor_within_eval_succ taylorWithinEval_succ
@[simp]
theorem taylor_within_zero_eval (f : ℝ → E) (s : Set ℝ) (x₀ x : ℝ) :
taylorWithinEval f 0 s x₀ x = f x₀ := by
dsimp only [taylorWithinEval]
dsimp only [taylorWithin]
dsimp only [taylorCoeffWithin]
simp
#align taylor_within_zero_eval taylor_within_zero_eval
@[simp]
theorem taylorWithinEval_self (f : ℝ → E) (n : ℕ) (s : Set ℝ) (x₀ : ℝ) :
taylorWithinEval f n s x₀ x₀ = f x₀ := by
induction' n with k hk
· exact taylor_within_zero_eval _ _ _ _
simp [hk]
#align taylor_within_eval_self taylorWithinEval_self
| Mathlib/Analysis/Calculus/Taylor.lean | 114 | 120 | theorem taylor_within_apply (f : ℝ → E) (n : ℕ) (s : Set ℝ) (x₀ x : ℝ) :
taylorWithinEval f n s x₀ x =
∑ k ∈ Finset.range (n + 1), ((k ! : ℝ)⁻¹ * (x - x₀) ^ k) • iteratedDerivWithin k f s x₀ := by |
induction' n with k hk
· simp
rw [taylorWithinEval_succ, Finset.sum_range_succ, hk]
simp [Nat.factorial]
|
import Mathlib.Algebra.Group.Prod
import Mathlib.Order.Cover
#align_import algebra.support from "leanprover-community/mathlib"@"29cb56a7b35f72758b05a30490e1f10bd62c35c1"
assert_not_exists MonoidWithZero
open Set
namespace Function
variable {α β A B M N P G : Type*}
section One
variable [One M] [One N] [One P]
@[to_additive "`support` of a function is the set of points `x` such that `f x ≠ 0`."]
def mulSupport (f : α → M) : Set α := {x | f x ≠ 1}
#align function.mul_support Function.mulSupport
#align function.support Function.support
@[to_additive]
theorem mulSupport_eq_preimage (f : α → M) : mulSupport f = f ⁻¹' {1}ᶜ :=
rfl
#align function.mul_support_eq_preimage Function.mulSupport_eq_preimage
#align function.support_eq_preimage Function.support_eq_preimage
@[to_additive]
theorem nmem_mulSupport {f : α → M} {x : α} : x ∉ mulSupport f ↔ f x = 1 :=
not_not
#align function.nmem_mul_support Function.nmem_mulSupport
#align function.nmem_support Function.nmem_support
@[to_additive]
theorem compl_mulSupport {f : α → M} : (mulSupport f)ᶜ = { x | f x = 1 } :=
ext fun _ => nmem_mulSupport
#align function.compl_mul_support Function.compl_mulSupport
#align function.compl_support Function.compl_support
@[to_additive (attr := simp)]
theorem mem_mulSupport {f : α → M} {x : α} : x ∈ mulSupport f ↔ f x ≠ 1 :=
Iff.rfl
#align function.mem_mul_support Function.mem_mulSupport
#align function.mem_support Function.mem_support
@[to_additive (attr := simp)]
theorem mulSupport_subset_iff {f : α → M} {s : Set α} : mulSupport f ⊆ s ↔ ∀ x, f x ≠ 1 → x ∈ s :=
Iff.rfl
#align function.mul_support_subset_iff Function.mulSupport_subset_iff
#align function.support_subset_iff Function.support_subset_iff
@[to_additive]
theorem mulSupport_subset_iff' {f : α → M} {s : Set α} :
mulSupport f ⊆ s ↔ ∀ x ∉ s, f x = 1 :=
forall_congr' fun _ => not_imp_comm
#align function.mul_support_subset_iff' Function.mulSupport_subset_iff'
#align function.support_subset_iff' Function.support_subset_iff'
@[to_additive]
| Mathlib/Algebra/Group/Support.lean | 73 | 76 | theorem mulSupport_eq_iff {f : α → M} {s : Set α} :
mulSupport f = s ↔ (∀ x, x ∈ s → f x ≠ 1) ∧ ∀ x, x ∉ s → f x = 1 := by |
simp (config := { contextual := true }) only [ext_iff, mem_mulSupport, ne_eq, iff_def,
not_imp_comm, and_comm, forall_and]
|
import Mathlib.Algebra.Lie.CartanSubalgebra
import Mathlib.Algebra.Lie.Weights.Basic
suppress_compilation
open Set
variable {R L : Type*} [CommRing R] [LieRing L] [LieAlgebra R L]
(H : LieSubalgebra R L) [LieAlgebra.IsNilpotent R H]
{M : Type*} [AddCommGroup M] [Module R M] [LieRingModule L M] [LieModule R L M]
namespace LieAlgebra
open scoped TensorProduct
open TensorProduct.LieModule LieModule
abbrev rootSpace (χ : H → R) : LieSubmodule R H L :=
weightSpace L χ
#align lie_algebra.root_space LieAlgebra.rootSpace
theorem zero_rootSpace_eq_top_of_nilpotent [IsNilpotent R L] :
rootSpace (⊤ : LieSubalgebra R L) 0 = ⊤ :=
zero_weightSpace_eq_top_of_nilpotent L
#align lie_algebra.zero_root_space_eq_top_of_nilpotent LieAlgebra.zero_rootSpace_eq_top_of_nilpotent
@[simp]
theorem rootSpace_comap_eq_weightSpace (χ : H → R) :
(rootSpace H χ).comap H.incl' = weightSpace H χ :=
comap_weightSpace_eq_of_injective Subtype.coe_injective
#align lie_algebra.root_space_comap_eq_weight_space LieAlgebra.rootSpace_comap_eq_weightSpace
variable {H}
theorem lie_mem_weightSpace_of_mem_weightSpace {χ₁ χ₂ : H → R} {x : L} {m : M}
(hx : x ∈ rootSpace H χ₁) (hm : m ∈ weightSpace M χ₂) : ⁅x, m⁆ ∈ weightSpace M (χ₁ + χ₂) := by
rw [weightSpace, LieSubmodule.mem_iInf]
intro y
replace hx : x ∈ weightSpaceOf L (χ₁ y) y := by
rw [rootSpace, weightSpace, LieSubmodule.mem_iInf] at hx; exact hx y
replace hm : m ∈ weightSpaceOf M (χ₂ y) y := by
rw [weightSpace, LieSubmodule.mem_iInf] at hm; exact hm y
exact lie_mem_maxGenEigenspace_toEnd hx hm
#align lie_algebra.lie_mem_weight_space_of_mem_weight_space LieAlgebra.lie_mem_weightSpace_of_mem_weightSpace
lemma toEnd_pow_apply_mem {χ₁ χ₂ : H → R} {x : L} {m : M}
(hx : x ∈ rootSpace H χ₁) (hm : m ∈ weightSpace M χ₂) (n) :
(toEnd R L M x ^ n : Module.End R M) m ∈ weightSpace M (n • χ₁ + χ₂) := by
induction n
· simpa using hm
· next n IH =>
simp only [pow_succ', LinearMap.mul_apply, toEnd_apply_apply,
Nat.cast_add, Nat.cast_one, rootSpace]
convert lie_mem_weightSpace_of_mem_weightSpace hx IH using 2
rw [succ_nsmul, ← add_assoc, add_comm (n • _)]
variable (R L H M)
def rootSpaceWeightSpaceProductAux {χ₁ χ₂ χ₃ : H → R} (hχ : χ₁ + χ₂ = χ₃) :
rootSpace H χ₁ →ₗ[R] weightSpace M χ₂ →ₗ[R] weightSpace M χ₃ where
toFun x :=
{ toFun := fun m =>
⟨⁅(x : L), (m : M)⁆, hχ ▸ lie_mem_weightSpace_of_mem_weightSpace x.property m.property⟩
map_add' := fun m n => by simp only [LieSubmodule.coe_add, lie_add]; rfl
map_smul' := fun t m => by
dsimp only
conv_lhs =>
congr
rw [LieSubmodule.coe_smul, lie_smul]
rfl }
map_add' x y := by
ext m
simp only [AddSubmonoid.coe_add, Submodule.coe_toAddSubmonoid, add_lie, LinearMap.coe_mk,
AddHom.coe_mk, LinearMap.add_apply, AddSubmonoid.mk_add_mk]
map_smul' t x := by
simp only [RingHom.id_apply]
ext m
simp only [SetLike.val_smul, smul_lie, LinearMap.coe_mk, AddHom.coe_mk, LinearMap.smul_apply,
SetLike.mk_smul_mk]
#align lie_algebra.root_space_weight_space_product_aux LieAlgebra.rootSpaceWeightSpaceProductAux
-- Porting note (#11083): this def is _really_ slow
-- See https://github.com/leanprover-community/mathlib4/issues/5028
def rootSpaceWeightSpaceProduct (χ₁ χ₂ χ₃ : H → R) (hχ : χ₁ + χ₂ = χ₃) :
rootSpace H χ₁ ⊗[R] weightSpace M χ₂ →ₗ⁅R,H⁆ weightSpace M χ₃ :=
liftLie R H (rootSpace H χ₁) (weightSpace M χ₂) (weightSpace M χ₃)
{ toLinearMap := rootSpaceWeightSpaceProductAux R L H M hχ
map_lie' := fun {x y} => by
ext m
simp only [rootSpaceWeightSpaceProductAux, LieSubmodule.coe_bracket,
LieSubalgebra.coe_bracket_of_module, lie_lie, LinearMap.coe_mk, AddHom.coe_mk,
Subtype.coe_mk, LieHom.lie_apply, LieSubmodule.coe_sub] }
#align lie_algebra.root_space_weight_space_product LieAlgebra.rootSpaceWeightSpaceProduct
@[simp]
theorem coe_rootSpaceWeightSpaceProduct_tmul (χ₁ χ₂ χ₃ : H → R) (hχ : χ₁ + χ₂ = χ₃)
(x : rootSpace H χ₁) (m : weightSpace M χ₂) :
(rootSpaceWeightSpaceProduct R L H M χ₁ χ₂ χ₃ hχ (x ⊗ₜ m) : M) = ⁅(x : L), (m : M)⁆ := by
simp only [rootSpaceWeightSpaceProduct, rootSpaceWeightSpaceProductAux, coe_liftLie_eq_lift_coe,
AddHom.toFun_eq_coe, LinearMap.coe_toAddHom, lift_apply, LinearMap.coe_mk, AddHom.coe_mk,
Submodule.coe_mk]
#align lie_algebra.coe_root_space_weight_space_product_tmul LieAlgebra.coe_rootSpaceWeightSpaceProduct_tmul
theorem mapsTo_toEnd_weightSpace_add_of_mem_rootSpace (α χ : H → R)
{x : L} (hx : x ∈ rootSpace H α) :
MapsTo (toEnd R L M x) (weightSpace M χ) (weightSpace M (α + χ)) := by
intro m hm
let x' : rootSpace H α := ⟨x, hx⟩
let m' : weightSpace M χ := ⟨m, hm⟩
exact (rootSpaceWeightSpaceProduct R L H M α χ (α + χ) rfl (x' ⊗ₜ m')).property
def rootSpaceProduct (χ₁ χ₂ χ₃ : H → R) (hχ : χ₁ + χ₂ = χ₃) :
rootSpace H χ₁ ⊗[R] rootSpace H χ₂ →ₗ⁅R,H⁆ rootSpace H χ₃ :=
rootSpaceWeightSpaceProduct R L H L χ₁ χ₂ χ₃ hχ
#align lie_algebra.root_space_product LieAlgebra.rootSpaceProduct
@[simp]
theorem rootSpaceProduct_def : rootSpaceProduct R L H = rootSpaceWeightSpaceProduct R L H L := rfl
#align lie_algebra.root_space_product_def LieAlgebra.rootSpaceProduct_def
theorem rootSpaceProduct_tmul
(χ₁ χ₂ χ₃ : H → R) (hχ : χ₁ + χ₂ = χ₃) (x : rootSpace H χ₁) (y : rootSpace H χ₂) :
(rootSpaceProduct R L H χ₁ χ₂ χ₃ hχ (x ⊗ₜ y) : L) = ⁅(x : L), (y : L)⁆ := by
simp only [rootSpaceProduct_def, coe_rootSpaceWeightSpaceProduct_tmul]
#align lie_algebra.root_space_product_tmul LieAlgebra.rootSpaceProduct_tmul
def zeroRootSubalgebra : LieSubalgebra R L :=
{ toSubmodule := (rootSpace H 0 : Submodule R L)
lie_mem' := fun {x y hx hy} => by
let xy : rootSpace H 0 ⊗[R] rootSpace H 0 := ⟨x, hx⟩ ⊗ₜ ⟨y, hy⟩
suffices (rootSpaceProduct R L H 0 0 0 (add_zero 0) xy : L) ∈ rootSpace H 0 by
rwa [rootSpaceProduct_tmul, Subtype.coe_mk, Subtype.coe_mk] at this
exact (rootSpaceProduct R L H 0 0 0 (add_zero 0) xy).property }
#align lie_algebra.zero_root_subalgebra LieAlgebra.zeroRootSubalgebra
@[simp]
theorem coe_zeroRootSubalgebra : (zeroRootSubalgebra R L H : Submodule R L) = rootSpace H 0 := rfl
#align lie_algebra.coe_zero_root_subalgebra LieAlgebra.coe_zeroRootSubalgebra
theorem mem_zeroRootSubalgebra (x : L) :
x ∈ zeroRootSubalgebra R L H ↔ ∀ y : H, ∃ k : ℕ, (toEnd R H L y ^ k) x = 0 := by
change x ∈ rootSpace H 0 ↔ _
simp only [mem_weightSpace, Pi.zero_apply, zero_smul, sub_zero]
#align lie_algebra.mem_zero_root_subalgebra LieAlgebra.mem_zeroRootSubalgebra
theorem toLieSubmodule_le_rootSpace_zero : H.toLieSubmodule ≤ rootSpace H 0 := by
intro x hx
simp only [LieSubalgebra.mem_toLieSubmodule] at hx
simp only [mem_weightSpace, Pi.zero_apply, sub_zero, zero_smul]
intro y
obtain ⟨k, hk⟩ := (inferInstance : IsNilpotent R H)
use k
let f : Module.End R H := toEnd R H H y
let g : Module.End R L := toEnd R H L y
have hfg : g.comp (H : Submodule R L).subtype = (H : Submodule R L).subtype.comp f := by
ext z
simp only [toEnd_apply_apply, Submodule.subtype_apply,
LieSubalgebra.coe_bracket_of_module, LieSubalgebra.coe_bracket, Function.comp_apply,
LinearMap.coe_comp]
rfl
change (g ^ k).comp (H : Submodule R L).subtype ⟨x, hx⟩ = 0
rw [LinearMap.commute_pow_left_of_commute hfg k]
have h := iterate_toEnd_mem_lowerCentralSeries R H H y ⟨x, hx⟩ k
rw [hk, LieSubmodule.mem_bot] at h
simp only [Submodule.subtype_apply, Function.comp_apply, LinearMap.pow_apply, LinearMap.coe_comp,
Submodule.coe_eq_zero]
exact h
#align lie_algebra.to_lie_submodule_le_root_space_zero LieAlgebra.toLieSubmodule_le_rootSpace_zero
instance [Nontrivial H] : Nontrivial (weightSpace L (0 : H → R)) := by
obtain ⟨⟨x, hx⟩, ⟨y, hy⟩, e⟩ := exists_pair_ne H
exact ⟨⟨x, toLieSubmodule_le_rootSpace_zero R L H hx⟩,
⟨y, toLieSubmodule_le_rootSpace_zero R L H hy⟩, by simpa using e⟩
theorem le_zeroRootSubalgebra : H ≤ zeroRootSubalgebra R L H := by
rw [← LieSubalgebra.coe_submodule_le_coe_submodule, ← H.coe_toLieSubmodule,
coe_zeroRootSubalgebra, LieSubmodule.coeSubmodule_le_coeSubmodule]
exact toLieSubmodule_le_rootSpace_zero R L H
#align lie_algebra.le_zero_root_subalgebra LieAlgebra.le_zeroRootSubalgebra
@[simp]
| Mathlib/Algebra/Lie/Weights/Cartan.lean | 218 | 231 | theorem zeroRootSubalgebra_normalizer_eq_self :
(zeroRootSubalgebra R L H).normalizer = zeroRootSubalgebra R L H := by |
refine le_antisymm ?_ (LieSubalgebra.le_normalizer _)
intro x hx
rw [LieSubalgebra.mem_normalizer_iff] at hx
rw [mem_zeroRootSubalgebra]
rintro ⟨y, hy⟩
specialize hx y (le_zeroRootSubalgebra R L H hy)
rw [mem_zeroRootSubalgebra] at hx
obtain ⟨k, hk⟩ := hx ⟨y, hy⟩
rw [← lie_skew, LinearMap.map_neg, neg_eq_zero] at hk
use k + 1
rw [LinearMap.iterate_succ, LinearMap.coe_comp, Function.comp_apply, toEnd_apply_apply,
LieSubalgebra.coe_bracket_of_module, Submodule.coe_mk, hk]
|
import Mathlib.MeasureTheory.Measure.Trim
import Mathlib.MeasureTheory.MeasurableSpace.CountablyGenerated
#align_import measure_theory.measure.ae_measurable from "leanprover-community/mathlib"@"3310acfa9787aa171db6d4cba3945f6f275fe9f2"
open scoped Classical
open MeasureTheory MeasureTheory.Measure Filter Set Function ENNReal
variable {ι α β γ δ R : Type*} {m0 : MeasurableSpace α} [MeasurableSpace β] [MeasurableSpace γ]
[MeasurableSpace δ] {f g : α → β} {μ ν : Measure α}
section
@[nontriviality, measurability]
theorem Subsingleton.aemeasurable [Subsingleton α] : AEMeasurable f μ :=
Subsingleton.measurable.aemeasurable
#align subsingleton.ae_measurable Subsingleton.aemeasurable
@[nontriviality, measurability]
theorem aemeasurable_of_subsingleton_codomain [Subsingleton β] : AEMeasurable f μ :=
(measurable_of_subsingleton_codomain f).aemeasurable
#align ae_measurable_of_subsingleton_codomain aemeasurable_of_subsingleton_codomain
@[simp, measurability]
| Mathlib/MeasureTheory/Measure/AEMeasurable.lean | 38 | 40 | theorem aemeasurable_zero_measure : AEMeasurable f (0 : Measure α) := by |
nontriviality α; inhabit α
exact ⟨fun _ => f default, measurable_const, rfl⟩
|
import Mathlib.NumberTheory.Padics.PadicIntegers
import Mathlib.RingTheory.ZMod
#align_import number_theory.padics.ring_homs from "leanprover-community/mathlib"@"565eb991e264d0db702722b4bde52ee5173c9950"
noncomputable section
open scoped Classical
open Nat LocalRing Padic
namespace PadicInt
variable {p : ℕ} [hp_prime : Fact p.Prime]
section RingHoms
variable (p) (r : ℚ)
def modPart : ℤ :=
r.num * gcdA r.den p % p
#align padic_int.mod_part PadicInt.modPart
variable {p}
theorem modPart_lt_p : modPart p r < p := by
convert Int.emod_lt _ _
· simp
· exact mod_cast hp_prime.1.ne_zero
#align padic_int.mod_part_lt_p PadicInt.modPart_lt_p
theorem modPart_nonneg : 0 ≤ modPart p r :=
Int.emod_nonneg _ <| mod_cast hp_prime.1.ne_zero
#align padic_int.mod_part_nonneg PadicInt.modPart_nonneg
theorem isUnit_den (r : ℚ) (h : ‖(r : ℚ_[p])‖ ≤ 1) : IsUnit (r.den : ℤ_[p]) := by
rw [isUnit_iff]
apply le_antisymm (r.den : ℤ_[p]).2
rw [← not_lt, coe_natCast]
intro norm_denom_lt
have hr : ‖(r * r.den : ℚ_[p])‖ = ‖(r.num : ℚ_[p])‖ := by
congr
rw_mod_cast [@Rat.mul_den_eq_num r]
rw [padicNormE.mul] at hr
have key : ‖(r.num : ℚ_[p])‖ < 1 := by
calc
_ = _ := hr.symm
_ < 1 * 1 := mul_lt_mul' h norm_denom_lt (norm_nonneg _) zero_lt_one
_ = 1 := mul_one 1
have : ↑p ∣ r.num ∧ (p : ℤ) ∣ r.den := by
simp only [← norm_int_lt_one_iff_dvd, ← padic_norm_e_of_padicInt]
exact ⟨key, norm_denom_lt⟩
apply hp_prime.1.not_dvd_one
rwa [← r.reduced.gcd_eq_one, Nat.dvd_gcd_iff, ← Int.natCast_dvd, ← Int.natCast_dvd_natCast]
#align padic_int.is_unit_denom PadicInt.isUnit_den
theorem norm_sub_modPart_aux (r : ℚ) (h : ‖(r : ℚ_[p])‖ ≤ 1) :
↑p ∣ r.num - r.num * r.den.gcdA p % p * ↑r.den := by
rw [← ZMod.intCast_zmod_eq_zero_iff_dvd]
simp only [Int.cast_natCast, ZMod.natCast_mod, Int.cast_mul, Int.cast_sub]
have := congr_arg (fun x => x % p : ℤ → ZMod p) (gcd_eq_gcd_ab r.den p)
simp only [Int.cast_natCast, CharP.cast_eq_zero, EuclideanDomain.mod_zero, Int.cast_add,
Int.cast_mul, zero_mul, add_zero] at this
push_cast
rw [mul_right_comm, mul_assoc, ← this]
suffices rdcp : r.den.Coprime p by
rw [rdcp.gcd_eq_one]
simp only [mul_one, cast_one, sub_self]
apply Coprime.symm
apply (coprime_or_dvd_of_prime hp_prime.1 _).resolve_right
rw [← Int.natCast_dvd_natCast, ← norm_int_lt_one_iff_dvd, not_lt]
apply ge_of_eq
rw [← isUnit_iff]
exact isUnit_den r h
#align padic_int.norm_sub_mod_part_aux PadicInt.norm_sub_modPart_aux
theorem norm_sub_modPart (h : ‖(r : ℚ_[p])‖ ≤ 1) : ‖(⟨r, h⟩ - modPart p r : ℤ_[p])‖ < 1 := by
let n := modPart p r
rw [norm_lt_one_iff_dvd, ← (isUnit_den r h).dvd_mul_right]
suffices ↑p ∣ r.num - n * r.den by
convert (Int.castRingHom ℤ_[p]).map_dvd this
simp only [sub_mul, Int.cast_natCast, eq_intCast, Int.cast_mul, sub_left_inj, Int.cast_sub]
apply Subtype.coe_injective
simp only [coe_mul, Subtype.coe_mk, coe_natCast]
rw_mod_cast [@Rat.mul_den_eq_num r]
rfl
exact norm_sub_modPart_aux r h
#align padic_int.norm_sub_mod_part PadicInt.norm_sub_modPart
theorem exists_mem_range_of_norm_rat_le_one (h : ‖(r : ℚ_[p])‖ ≤ 1) :
∃ n : ℤ, 0 ≤ n ∧ n < p ∧ ‖(⟨r, h⟩ - n : ℤ_[p])‖ < 1 :=
⟨modPart p r, modPart_nonneg _, modPart_lt_p _, norm_sub_modPart _ h⟩
#align padic_int.exists_mem_range_of_norm_rat_le_one PadicInt.exists_mem_range_of_norm_rat_le_one
theorem zmod_congr_of_sub_mem_span_aux (n : ℕ) (x : ℤ_[p]) (a b : ℤ)
(ha : x - a ∈ (Ideal.span {(p : ℤ_[p]) ^ n}))
(hb : x - b ∈ (Ideal.span {(p : ℤ_[p]) ^ n})) : (a : ZMod (p ^ n)) = b := by
rw [Ideal.mem_span_singleton] at ha hb
rw [← sub_eq_zero, ← Int.cast_sub, ZMod.intCast_zmod_eq_zero_iff_dvd, Int.natCast_pow]
rw [← dvd_neg, neg_sub] at ha
have := dvd_add ha hb
rwa [sub_eq_add_neg, sub_eq_add_neg, add_assoc, neg_add_cancel_left, ← sub_eq_add_neg, ←
Int.cast_sub, pow_p_dvd_int_iff] at this
#align padic_int.zmod_congr_of_sub_mem_span_aux PadicInt.zmod_congr_of_sub_mem_span_aux
theorem zmod_congr_of_sub_mem_span (n : ℕ) (x : ℤ_[p]) (a b : ℕ)
(ha : x - a ∈ (Ideal.span {(p : ℤ_[p]) ^ n}))
(hb : x - b ∈ (Ideal.span {(p : ℤ_[p]) ^ n})) : (a : ZMod (p ^ n)) = b := by
simpa using zmod_congr_of_sub_mem_span_aux n x a b ha hb
#align padic_int.zmod_congr_of_sub_mem_span PadicInt.zmod_congr_of_sub_mem_span
theorem zmod_congr_of_sub_mem_max_ideal (x : ℤ_[p]) (m n : ℕ) (hm : x - m ∈ maximalIdeal ℤ_[p])
(hn : x - n ∈ maximalIdeal ℤ_[p]) : (m : ZMod p) = n := by
rw [maximalIdeal_eq_span_p] at hm hn
have := zmod_congr_of_sub_mem_span_aux 1 x m n
simp only [pow_one] at this
specialize this hm hn
apply_fun ZMod.castHom (show p ∣ p ^ 1 by rw [pow_one]) (ZMod p) at this
simp only [map_intCast] at this
simpa only [Int.cast_natCast] using this
#align padic_int.zmod_congr_of_sub_mem_max_ideal PadicInt.zmod_congr_of_sub_mem_max_ideal
variable (x : ℤ_[p])
theorem exists_mem_range : ∃ n : ℕ, n < p ∧ x - n ∈ maximalIdeal ℤ_[p] := by
simp only [maximalIdeal_eq_span_p, Ideal.mem_span_singleton, ← norm_lt_one_iff_dvd]
obtain ⟨r, hr⟩ := rat_dense p (x : ℚ_[p]) zero_lt_one
have H : ‖(r : ℚ_[p])‖ ≤ 1 := by
rw [norm_sub_rev] at hr
calc
_ = ‖(r : ℚ_[p]) - x + x‖ := by ring_nf
_ ≤ _ := padicNormE.nonarchimedean _ _
_ ≤ _ := max_le (le_of_lt hr) x.2
obtain ⟨n, hzn, hnp, hn⟩ := exists_mem_range_of_norm_rat_le_one r H
lift n to ℕ using hzn
use n
constructor
· exact mod_cast hnp
simp only [norm_def, coe_sub, Subtype.coe_mk, coe_natCast] at hn ⊢
rw [show (x - n : ℚ_[p]) = x - r + (r - n) by ring]
apply lt_of_le_of_lt (padicNormE.nonarchimedean _ _)
apply max_lt hr
simpa using hn
#align padic_int.exists_mem_range PadicInt.exists_mem_range
def zmodRepr : ℕ :=
Classical.choose (exists_mem_range x)
#align padic_int.zmod_repr PadicInt.zmodRepr
theorem zmodRepr_spec : zmodRepr x < p ∧ x - zmodRepr x ∈ maximalIdeal ℤ_[p] :=
Classical.choose_spec (exists_mem_range x)
#align padic_int.zmod_repr_spec PadicInt.zmodRepr_spec
theorem zmodRepr_lt_p : zmodRepr x < p :=
(zmodRepr_spec _).1
#align padic_int.zmod_repr_lt_p PadicInt.zmodRepr_lt_p
theorem sub_zmodRepr_mem : x - zmodRepr x ∈ maximalIdeal ℤ_[p] :=
(zmodRepr_spec _).2
#align padic_int.sub_zmod_repr_mem PadicInt.sub_zmodRepr_mem
def toZModHom (v : ℕ) (f : ℤ_[p] → ℕ) (f_spec : ∀ x, x - f x ∈ (Ideal.span {↑v} : Ideal ℤ_[p]))
(f_congr :
∀ (x : ℤ_[p]) (a b : ℕ),
x - a ∈ (Ideal.span {↑v} : Ideal ℤ_[p]) →
x - b ∈ (Ideal.span {↑v} : Ideal ℤ_[p]) → (a : ZMod v) = b) :
ℤ_[p] →+* ZMod v where
toFun x := f x
map_zero' := by
dsimp only
rw [f_congr (0 : ℤ_[p]) _ 0, cast_zero]
· exact f_spec _
· simp only [sub_zero, cast_zero, Submodule.zero_mem]
map_one' := by
dsimp only
rw [f_congr (1 : ℤ_[p]) _ 1, cast_one]
· exact f_spec _
· simp only [sub_self, cast_one, Submodule.zero_mem]
map_add' := by
intro x y
dsimp only
rw [f_congr (x + y) _ (f x + f y), cast_add]
· exact f_spec _
· convert Ideal.add_mem _ (f_spec x) (f_spec y) using 1
rw [cast_add]
ring
map_mul' := by
intro x y
dsimp only
rw [f_congr (x * y) _ (f x * f y), cast_mul]
· exact f_spec _
· let I : Ideal ℤ_[p] := Ideal.span {↑v}
convert I.add_mem (I.mul_mem_left x (f_spec y)) (I.mul_mem_right ↑(f y) (f_spec x)) using 1
rw [cast_mul]
ring
#align padic_int.to_zmod_hom PadicInt.toZModHom
def toZMod : ℤ_[p] →+* ZMod p :=
toZModHom p zmodRepr
(by
rw [← maximalIdeal_eq_span_p]
exact sub_zmodRepr_mem)
(by
rw [← maximalIdeal_eq_span_p]
exact zmod_congr_of_sub_mem_max_ideal)
#align padic_int.to_zmod PadicInt.toZMod
theorem toZMod_spec : x - (ZMod.cast (toZMod x) : ℤ_[p]) ∈ maximalIdeal ℤ_[p] := by
convert sub_zmodRepr_mem x using 2
dsimp [toZMod, toZModHom]
rcases Nat.exists_eq_add_of_lt hp_prime.1.pos with ⟨p', rfl⟩
change ↑((_ : ZMod (0 + p' + 1)).val) = (_ : ℤ_[0 + p' + 1])
simp only [ZMod.val_natCast, add_zero, add_def, Nat.cast_inj, zero_add]
apply mod_eq_of_lt
simpa only [zero_add] using zmodRepr_lt_p x
#align padic_int.to_zmod_spec PadicInt.toZMod_spec
theorem ker_toZMod : RingHom.ker (toZMod : ℤ_[p] →+* ZMod p) = maximalIdeal ℤ_[p] := by
ext x
rw [RingHom.mem_ker]
constructor
· intro h
simpa only [h, ZMod.cast_zero, sub_zero] using toZMod_spec x
· intro h
rw [← sub_zero x] at h
dsimp [toZMod, toZModHom]
convert zmod_congr_of_sub_mem_max_ideal x _ 0 _ h
· norm_cast
· apply sub_zmodRepr_mem
#align padic_int.ker_to_zmod PadicInt.ker_toZMod
-- Porting note: removing irreducible solves a lot of problems
noncomputable def appr : ℤ_[p] → ℕ → ℕ
| _x, 0 => 0
| x, n + 1 =>
let y := x - appr x n
if hy : y = 0 then appr x n
else
let u := (unitCoeff hy : ℤ_[p])
appr x n + p ^ n * (toZMod ((u * (p : ℤ_[p]) ^ (y.valuation - n).natAbs) : ℤ_[p])).val
#align padic_int.appr PadicInt.appr
theorem appr_lt (x : ℤ_[p]) (n : ℕ) : x.appr n < p ^ n := by
induction' n with n ih generalizing x
· simp only [appr, zero_eq, _root_.pow_zero, zero_lt_one]
simp only [appr, map_natCast, ZMod.natCast_self, RingHom.map_pow, Int.natAbs, RingHom.map_mul]
have hp : p ^ n < p ^ (n + 1) := by apply pow_lt_pow_right hp_prime.1.one_lt (lt_add_one n)
split_ifs with h
· apply lt_trans (ih _) hp
· calc
_ < p ^ n + p ^ n * (p - 1) := ?_
_ = p ^ (n + 1) := ?_
· apply add_lt_add_of_lt_of_le (ih _)
apply Nat.mul_le_mul_left
apply le_pred_of_lt
apply ZMod.val_lt
· rw [mul_tsub, mul_one, ← _root_.pow_succ]
apply add_tsub_cancel_of_le (le_of_lt hp)
#align padic_int.appr_lt PadicInt.appr_lt
theorem appr_mono (x : ℤ_[p]) : Monotone x.appr := by
apply monotone_nat_of_le_succ
intro n
dsimp [appr]
split_ifs; · rfl
apply Nat.le_add_right
#align padic_int.appr_mono PadicInt.appr_mono
theorem dvd_appr_sub_appr (x : ℤ_[p]) (m n : ℕ) (h : m ≤ n) : p ^ m ∣ x.appr n - x.appr m := by
obtain ⟨k, rfl⟩ := Nat.exists_eq_add_of_le h; clear h
induction' k with k ih
· simp only [zero_eq, add_zero, le_refl, tsub_eq_zero_of_le, ne_eq, Nat.isUnit_iff, dvd_zero]
rw [← add_assoc]
dsimp [appr]
split_ifs with h
· exact ih
rw [add_comm, add_tsub_assoc_of_le (appr_mono _ (Nat.le_add_right m k))]
apply dvd_add _ ih
apply dvd_mul_of_dvd_left
apply pow_dvd_pow _ (Nat.le_add_right m k)
#align padic_int.dvd_appr_sub_appr PadicInt.dvd_appr_sub_appr
theorem appr_spec (n : ℕ) : ∀ x : ℤ_[p], x - appr x n ∈ Ideal.span {(p : ℤ_[p]) ^ n} := by
simp only [Ideal.mem_span_singleton]
induction' n with n ih
· simp only [zero_eq, _root_.pow_zero, isUnit_one, IsUnit.dvd, forall_const]
intro x
dsimp only [appr]
split_ifs with h
· rw [h]
apply dvd_zero
push_cast
rw [sub_add_eq_sub_sub]
obtain ⟨c, hc⟩ := ih x
simp only [map_natCast, ZMod.natCast_self, RingHom.map_pow, RingHom.map_mul, ZMod.natCast_val]
have hc' : c ≠ 0 := by
rintro rfl
simp only [mul_zero] at hc
contradiction
conv_rhs =>
congr
simp only [hc]
rw [show (x - (appr x n : ℤ_[p])).valuation = ((p : ℤ_[p]) ^ n * c).valuation by rw [hc]]
rw [valuation_p_pow_mul _ _ hc', add_sub_cancel_left, _root_.pow_succ, ← mul_sub]
apply mul_dvd_mul_left
obtain hc0 | hc0 := eq_or_ne c.valuation.natAbs 0
· simp only [hc0, mul_one, _root_.pow_zero]
rw [mul_comm, unitCoeff_spec h] at hc
suffices c = unitCoeff h by
rw [← this, ← Ideal.mem_span_singleton, ← maximalIdeal_eq_span_p]
apply toZMod_spec
obtain ⟨c, rfl⟩ : IsUnit c := by
-- TODO: write a `CanLift` instance for units
rw [Int.natAbs_eq_zero] at hc0
rw [isUnit_iff, norm_eq_pow_val hc', hc0, neg_zero, zpow_zero]
rw [DiscreteValuationRing.unit_mul_pow_congr_unit _ _ _ _ _ hc]
exact irreducible_p
· simp only [zero_pow hc0, sub_zero, ZMod.cast_zero, mul_zero]
rw [unitCoeff_spec hc']
exact (dvd_pow_self (p : ℤ_[p]) hc0).mul_left _
#align padic_int.appr_spec PadicInt.appr_spec
def toZModPow (n : ℕ) : ℤ_[p] →+* ZMod (p ^ n) :=
toZModHom (p ^ n) (fun x => appr x n)
(by
intros
rw [Nat.cast_pow]
exact appr_spec n _)
(by
intro x a b ha hb
apply zmod_congr_of_sub_mem_span n x a b
· simpa using ha
· simpa using hb)
#align padic_int.to_zmod_pow PadicInt.toZModPow
| Mathlib/NumberTheory/Padics/RingHoms.lean | 405 | 421 | theorem ker_toZModPow (n : ℕ) :
RingHom.ker (toZModPow n : ℤ_[p] →+* ZMod (p ^ n)) = Ideal.span {(p : ℤ_[p]) ^ n} := by |
ext x
rw [RingHom.mem_ker]
constructor
· intro h
suffices x.appr n = 0 by
convert appr_spec n x
simp only [this, sub_zero, cast_zero]
dsimp [toZModPow, toZModHom] at h
rw [ZMod.natCast_zmod_eq_zero_iff_dvd] at h
apply eq_zero_of_dvd_of_lt h (appr_lt _ _)
· intro h
rw [← sub_zero x] at h
dsimp [toZModPow, toZModHom]
rw [zmod_congr_of_sub_mem_span n x _ 0 _ h, cast_zero]
apply appr_spec
|
import Mathlib.Order.Atoms
import Mathlib.Order.OrderIsoNat
import Mathlib.Order.RelIso.Set
import Mathlib.Order.SupClosed
import Mathlib.Order.SupIndep
import Mathlib.Order.Zorn
import Mathlib.Data.Finset.Order
import Mathlib.Order.Interval.Set.OrderIso
import Mathlib.Data.Finite.Set
import Mathlib.Tactic.TFAE
#align_import order.compactly_generated from "leanprover-community/mathlib"@"c813ed7de0f5115f956239124e9b30f3a621966f"
open Set
variable {ι : Sort*} {α : Type*} [CompleteLattice α] {f : ι → α}
namespace CompleteLattice
variable (α)
def IsSupClosedCompact : Prop :=
∀ (s : Set α) (_ : s.Nonempty), SupClosed s → sSup s ∈ s
#align complete_lattice.is_sup_closed_compact CompleteLattice.IsSupClosedCompact
def IsSupFiniteCompact : Prop :=
∀ s : Set α, ∃ t : Finset α, ↑t ⊆ s ∧ sSup s = t.sup id
#align complete_lattice.is_Sup_finite_compact CompleteLattice.IsSupFiniteCompact
def IsCompactElement {α : Type*} [CompleteLattice α] (k : α) :=
∀ s : Set α, k ≤ sSup s → ∃ t : Finset α, ↑t ⊆ s ∧ k ≤ t.sup id
#align complete_lattice.is_compact_element CompleteLattice.IsCompactElement
theorem isCompactElement_iff.{u} {α : Type u} [CompleteLattice α] (k : α) :
CompleteLattice.IsCompactElement k ↔
∀ (ι : Type u) (s : ι → α), k ≤ iSup s → ∃ t : Finset ι, k ≤ t.sup s := by
classical
constructor
· intro H ι s hs
obtain ⟨t, ht, ht'⟩ := H (Set.range s) hs
have : ∀ x : t, ∃ i, s i = x := fun x => ht x.prop
choose f hf using this
refine ⟨Finset.univ.image f, ht'.trans ?_⟩
rw [Finset.sup_le_iff]
intro b hb
rw [← show s (f ⟨b, hb⟩) = id b from hf _]
exact Finset.le_sup (Finset.mem_image_of_mem f <| Finset.mem_univ (Subtype.mk b hb))
· intro H s hs
obtain ⟨t, ht⟩ :=
H s Subtype.val
(by
delta iSup
rwa [Subtype.range_coe])
refine ⟨t.image Subtype.val, by simp, ht.trans ?_⟩
rw [Finset.sup_le_iff]
exact fun x hx => @Finset.le_sup _ _ _ _ _ id _ (Finset.mem_image_of_mem Subtype.val hx)
#align complete_lattice.is_compact_element_iff CompleteLattice.isCompactElement_iff
theorem isCompactElement_iff_le_of_directed_sSup_le (k : α) :
IsCompactElement k ↔
∀ s : Set α, s.Nonempty → DirectedOn (· ≤ ·) s → k ≤ sSup s → ∃ x : α, x ∈ s ∧ k ≤ x := by
classical
constructor
· intro hk s hne hdir hsup
obtain ⟨t, ht⟩ := hk s hsup
-- certainly every element of t is below something in s, since ↑t ⊆ s.
have t_below_s : ∀ x ∈ t, ∃ y ∈ s, x ≤ y := fun x hxt => ⟨x, ht.left hxt, le_rfl⟩
obtain ⟨x, ⟨hxs, hsupx⟩⟩ := Finset.sup_le_of_le_directed s hne hdir t t_below_s
exact ⟨x, ⟨hxs, le_trans ht.right hsupx⟩⟩
· intro hk s hsup
-- Consider the set of finite joins of elements of the (plain) set s.
let S : Set α := { x | ∃ t : Finset α, ↑t ⊆ s ∧ x = t.sup id }
-- S is directed, nonempty, and still has sup above k.
have dir_US : DirectedOn (· ≤ ·) S := by
rintro x ⟨c, hc⟩ y ⟨d, hd⟩
use x ⊔ y
constructor
· use c ∪ d
constructor
· simp only [hc.left, hd.left, Set.union_subset_iff, Finset.coe_union, and_self_iff]
· simp only [hc.right, hd.right, Finset.sup_union]
simp only [and_self_iff, le_sup_left, le_sup_right]
have sup_S : sSup s ≤ sSup S := by
apply sSup_le_sSup
intro x hx
use {x}
simpa only [and_true_iff, id, Finset.coe_singleton, eq_self_iff_true,
Finset.sup_singleton, Set.singleton_subset_iff]
have Sne : S.Nonempty := by
suffices ⊥ ∈ S from Set.nonempty_of_mem this
use ∅
simp only [Set.empty_subset, Finset.coe_empty, Finset.sup_empty, eq_self_iff_true,
and_self_iff]
-- Now apply the defn of compact and finish.
obtain ⟨j, ⟨hjS, hjk⟩⟩ := hk S Sne dir_US (le_trans hsup sup_S)
obtain ⟨t, ⟨htS, htsup⟩⟩ := hjS
use t
exact ⟨htS, by rwa [← htsup]⟩
#align complete_lattice.is_compact_element_iff_le_of_directed_Sup_le CompleteLattice.isCompactElement_iff_le_of_directed_sSup_le
theorem IsCompactElement.exists_finset_of_le_iSup {k : α} (hk : IsCompactElement k) {ι : Type*}
(f : ι → α) (h : k ≤ ⨆ i, f i) : ∃ s : Finset ι, k ≤ ⨆ i ∈ s, f i := by
classical
let g : Finset ι → α := fun s => ⨆ i ∈ s, f i
have h1 : DirectedOn (· ≤ ·) (Set.range g) := by
rintro - ⟨s, rfl⟩ - ⟨t, rfl⟩
exact
⟨g (s ∪ t), ⟨s ∪ t, rfl⟩, iSup_le_iSup_of_subset Finset.subset_union_left,
iSup_le_iSup_of_subset Finset.subset_union_right⟩
have h2 : k ≤ sSup (Set.range g) :=
h.trans
(iSup_le fun i =>
le_sSup_of_le ⟨{i}, rfl⟩
(le_iSup_of_le i (le_iSup_of_le (Finset.mem_singleton_self i) le_rfl)))
obtain ⟨-, ⟨s, rfl⟩, hs⟩ :=
(isCompactElement_iff_le_of_directed_sSup_le α k).mp hk (Set.range g) (Set.range_nonempty g)
h1 h2
exact ⟨s, hs⟩
#align complete_lattice.is_compact_element.exists_finset_of_le_supr CompleteLattice.IsCompactElement.exists_finset_of_le_iSup
| Mathlib/Order/CompactlyGenerated/Basic.lean | 174 | 183 | theorem IsCompactElement.directed_sSup_lt_of_lt {α : Type*} [CompleteLattice α] {k : α}
(hk : IsCompactElement k) {s : Set α} (hemp : s.Nonempty) (hdir : DirectedOn (· ≤ ·) s)
(hbelow : ∀ x ∈ s, x < k) : sSup s < k := by |
rw [isCompactElement_iff_le_of_directed_sSup_le] at hk
by_contra h
have sSup' : sSup s ≤ k := sSup_le s k fun s hs => (hbelow s hs).le
replace sSup : sSup s = k := eq_iff_le_not_lt.mpr ⟨sSup', h⟩
obtain ⟨x, hxs, hkx⟩ := hk s hemp hdir sSup.symm.le
obtain hxk := hbelow x hxs
exact hxk.ne (hxk.le.antisymm hkx)
|
import Mathlib.RingTheory.Ideal.Cotangent
import Mathlib.RingTheory.QuotientNilpotent
import Mathlib.RingTheory.TensorProduct.Basic
import Mathlib.RingTheory.FinitePresentation
import Mathlib.RingTheory.Localization.Away.Basic
import Mathlib.RingTheory.Localization.Away.AdjoinRoot
#align_import ring_theory.etale from "leanprover-community/mathlib"@"73f96237417835f148a1f7bc1ff55f67119b7166"
-- Porting note: added to make the syntax work below.
open scoped TensorProduct
universe u
namespace Algebra
section
variable (R : Type u) [CommSemiring R]
variable (A : Type u) [Semiring A] [Algebra R A]
@[mk_iff]
class FormallySmooth : Prop where
comp_surjective :
∀ ⦃B : Type u⦄ [CommRing B],
∀ [Algebra R B] (I : Ideal B) (_ : I ^ 2 = ⊥),
Function.Surjective ((Ideal.Quotient.mkₐ R I).comp : (A →ₐ[R] B) → A →ₐ[R] B ⧸ I)
#align algebra.formally_smooth Algebra.FormallySmooth
end
namespace FormallySmooth
section
variable {R : Type u} [CommSemiring R]
variable {A : Type u} [Semiring A] [Algebra R A]
variable {B : Type u} [CommRing B] [Algebra R B] (I : Ideal B)
theorem exists_lift {B : Type u} [CommRing B] [_RB : Algebra R B]
[FormallySmooth R A] (I : Ideal B) (hI : IsNilpotent I) (g : A →ₐ[R] B ⧸ I) :
∃ f : A →ₐ[R] B, (Ideal.Quotient.mkₐ R I).comp f = g := by
revert g
change Function.Surjective (Ideal.Quotient.mkₐ R I).comp
revert _RB
apply Ideal.IsNilpotent.induction_on (R := B) I hI
· intro B _ I hI _; exact FormallySmooth.comp_surjective I hI
· intro B _ I J hIJ h₁ h₂ _ g
let this : ((B ⧸ I) ⧸ J.map (Ideal.Quotient.mk I)) ≃ₐ[R] B ⧸ J :=
{
(DoubleQuot.quotQuotEquivQuotSup I J).trans
(Ideal.quotEquivOfEq (sup_eq_right.mpr hIJ)) with
commutes' := fun x => rfl }
obtain ⟨g', e⟩ := h₂ (this.symm.toAlgHom.comp g)
obtain ⟨g', rfl⟩ := h₁ g'
replace e := congr_arg this.toAlgHom.comp e
conv_rhs at e =>
rw [← AlgHom.comp_assoc, AlgEquiv.toAlgHom_eq_coe, AlgEquiv.toAlgHom_eq_coe,
AlgEquiv.comp_symm, AlgHom.id_comp]
exact ⟨g', e⟩
#align algebra.formally_smooth.exists_lift Algebra.FormallySmooth.exists_lift
noncomputable def lift [FormallySmooth R A] (I : Ideal B) (hI : IsNilpotent I)
(g : A →ₐ[R] B ⧸ I) : A →ₐ[R] B :=
(FormallySmooth.exists_lift I hI g).choose
#align algebra.formally_smooth.lift Algebra.FormallySmooth.lift
@[simp]
theorem comp_lift [FormallySmooth R A] (I : Ideal B) (hI : IsNilpotent I)
(g : A →ₐ[R] B ⧸ I) : (Ideal.Quotient.mkₐ R I).comp (FormallySmooth.lift I hI g) = g :=
(FormallySmooth.exists_lift I hI g).choose_spec
#align algebra.formally_smooth.comp_lift Algebra.FormallySmooth.comp_lift
@[simp]
theorem mk_lift [FormallySmooth R A] (I : Ideal B) (hI : IsNilpotent I)
(g : A →ₐ[R] B ⧸ I) (x : A) : Ideal.Quotient.mk I (FormallySmooth.lift I hI g x) = g x :=
AlgHom.congr_fun (FormallySmooth.comp_lift I hI g : _) x
#align algebra.formally_smooth.mk_lift Algebra.FormallySmooth.mk_lift
variable {C : Type u} [CommRing C] [Algebra R C]
noncomputable def liftOfSurjective [FormallySmooth R A] (f : A →ₐ[R] C)
(g : B →ₐ[R] C) (hg : Function.Surjective g) (hg' : IsNilpotent <| RingHom.ker (g : B →+* C)) :
A →ₐ[R] B :=
FormallySmooth.lift _ hg' ((Ideal.quotientKerAlgEquivOfSurjective hg).symm.toAlgHom.comp f)
#align algebra.formally_smooth.lift_of_surjective Algebra.FormallySmooth.liftOfSurjective
@[simp]
theorem liftOfSurjective_apply [FormallySmooth R A] (f : A →ₐ[R] C) (g : B →ₐ[R] C)
(hg : Function.Surjective g) (hg' : IsNilpotent <| RingHom.ker (g : B →+* C)) (x : A) :
g (FormallySmooth.liftOfSurjective f g hg hg' x) = f x := by
apply (Ideal.quotientKerAlgEquivOfSurjective hg).symm.injective
change _ = ((Ideal.quotientKerAlgEquivOfSurjective hg).symm.toAlgHom.comp f) x
-- This used to be `rw`, but we need `erw` after leanprover/lean4#2644
erw [← FormallySmooth.mk_lift _ hg'
((Ideal.quotientKerAlgEquivOfSurjective hg).symm.toAlgHom.comp f)]
apply (Ideal.quotientKerAlgEquivOfSurjective hg).injective
simp only [liftOfSurjective, AlgEquiv.apply_symm_apply, AlgEquiv.toAlgHom_eq_coe,
Ideal.quotientKerAlgEquivOfSurjective_apply, RingHom.kerLift_mk, RingHom.coe_coe]
#align algebra.formally_smooth.lift_of_surjective_apply Algebra.FormallySmooth.liftOfSurjective_apply
@[simp]
theorem comp_liftOfSurjective [FormallySmooth R A] (f : A →ₐ[R] C) (g : B →ₐ[R] C)
(hg : Function.Surjective g) (hg' : IsNilpotent <| RingHom.ker (g : B →+* C)) :
g.comp (FormallySmooth.liftOfSurjective f g hg hg') = f :=
AlgHom.ext (FormallySmooth.liftOfSurjective_apply f g hg hg')
#align algebra.formally_smooth.comp_lift_of_surjective Algebra.FormallySmooth.comp_liftOfSurjective
end
section Localization
variable {R S Rₘ Sₘ : Type u} [CommRing R] [CommRing S] [CommRing Rₘ] [CommRing Sₘ]
variable (M : Submonoid R)
variable [Algebra R S] [Algebra R Sₘ] [Algebra S Sₘ] [Algebra R Rₘ] [Algebra Rₘ Sₘ]
variable [IsScalarTower R Rₘ Sₘ] [IsScalarTower R S Sₘ]
variable [IsLocalization M Rₘ] [IsLocalization (M.map (algebraMap R S)) Sₘ]
-- Porting note: no longer supported
-- attribute [local elab_as_elim] Ideal.IsNilpotent.induction_on
theorem of_isLocalization : FormallySmooth R Rₘ := by
constructor
intro Q _ _ I e f
have : ∀ x : M, IsUnit (algebraMap R Q x) := by
intro x
apply (IsNilpotent.isUnit_quotient_mk_iff ⟨2, e⟩).mp
convert (IsLocalization.map_units Rₘ x).map f
simp only [Ideal.Quotient.mk_algebraMap, AlgHom.commutes]
let this : Rₘ →ₐ[R] Q :=
{ IsLocalization.lift this with commutes' := IsLocalization.lift_eq this }
use this
apply AlgHom.coe_ringHom_injective
refine IsLocalization.ringHom_ext M ?_
ext
simp
#align algebra.formally_smooth.of_is_localization Algebra.FormallySmooth.of_isLocalization
| Mathlib/RingTheory/Smooth/Basic.lean | 323 | 342 | theorem localization_base [FormallySmooth R Sₘ] : FormallySmooth Rₘ Sₘ := by |
constructor
intro Q _ _ I e f
letI := ((algebraMap Rₘ Q).comp (algebraMap R Rₘ)).toAlgebra
letI : IsScalarTower R Rₘ Q := IsScalarTower.of_algebraMap_eq' rfl
let f : Sₘ →ₐ[Rₘ] Q := by
refine { FormallySmooth.lift I ⟨2, e⟩ (f.restrictScalars R) with commutes' := ?_ }
intro r
change
(RingHom.comp (FormallySmooth.lift I ⟨2, e⟩ (f.restrictScalars R) : Sₘ →+* Q)
(algebraMap _ _))
r =
algebraMap _ _ r
congr 1
refine IsLocalization.ringHom_ext M ?_
rw [RingHom.comp_assoc, ← IsScalarTower.algebraMap_eq, ← IsScalarTower.algebraMap_eq,
AlgHom.comp_algebraMap]
use f
ext
simp [f]
|
import Mathlib.Algebra.GroupWithZero.Divisibility
import Mathlib.Algebra.Ring.Divisibility.Basic
import Mathlib.Algebra.Ring.Hom.Defs
import Mathlib.GroupTheory.GroupAction.Units
import Mathlib.Logic.Basic
import Mathlib.Tactic.Ring
#align_import ring_theory.coprime.basic from "leanprover-community/mathlib"@"a95b16cbade0f938fc24abd05412bde1e84bab9b"
universe u v
section CommSemiring
variable {R : Type u} [CommSemiring R] (x y z : R)
def IsCoprime : Prop :=
∃ a b, a * x + b * y = 1
#align is_coprime IsCoprime
variable {x y z}
@[symm]
theorem IsCoprime.symm (H : IsCoprime x y) : IsCoprime y x :=
let ⟨a, b, H⟩ := H
⟨b, a, by rw [add_comm, H]⟩
#align is_coprime.symm IsCoprime.symm
theorem isCoprime_comm : IsCoprime x y ↔ IsCoprime y x :=
⟨IsCoprime.symm, IsCoprime.symm⟩
#align is_coprime_comm isCoprime_comm
theorem isCoprime_self : IsCoprime x x ↔ IsUnit x :=
⟨fun ⟨a, b, h⟩ => isUnit_of_mul_eq_one x (a + b) <| by rwa [mul_comm, add_mul], fun h =>
let ⟨b, hb⟩ := isUnit_iff_exists_inv'.1 h
⟨b, 0, by rwa [zero_mul, add_zero]⟩⟩
#align is_coprime_self isCoprime_self
theorem isCoprime_zero_left : IsCoprime 0 x ↔ IsUnit x :=
⟨fun ⟨a, b, H⟩ => isUnit_of_mul_eq_one x b <| by rwa [mul_zero, zero_add, mul_comm] at H, fun H =>
let ⟨b, hb⟩ := isUnit_iff_exists_inv'.1 H
⟨1, b, by rwa [one_mul, zero_add]⟩⟩
#align is_coprime_zero_left isCoprime_zero_left
theorem isCoprime_zero_right : IsCoprime x 0 ↔ IsUnit x :=
isCoprime_comm.trans isCoprime_zero_left
#align is_coprime_zero_right isCoprime_zero_right
theorem not_isCoprime_zero_zero [Nontrivial R] : ¬IsCoprime (0 : R) 0 :=
mt isCoprime_zero_right.mp not_isUnit_zero
#align not_coprime_zero_zero not_isCoprime_zero_zero
lemma IsCoprime.intCast {R : Type*} [CommRing R] {a b : ℤ} (h : IsCoprime a b) :
IsCoprime (a : R) (b : R) := by
rcases h with ⟨u, v, H⟩
use u, v
rw_mod_cast [H]
exact Int.cast_one
theorem IsCoprime.ne_zero [Nontrivial R] {p : Fin 2 → R} (h : IsCoprime (p 0) (p 1)) : p ≠ 0 := by
rintro rfl
exact not_isCoprime_zero_zero h
#align is_coprime.ne_zero IsCoprime.ne_zero
theorem IsCoprime.ne_zero_or_ne_zero [Nontrivial R] (h : IsCoprime x y) : x ≠ 0 ∨ y ≠ 0 := by
apply not_or_of_imp
rintro rfl rfl
exact not_isCoprime_zero_zero h
theorem isCoprime_one_left : IsCoprime 1 x :=
⟨1, 0, by rw [one_mul, zero_mul, add_zero]⟩
#align is_coprime_one_left isCoprime_one_left
theorem isCoprime_one_right : IsCoprime x 1 :=
⟨0, 1, by rw [one_mul, zero_mul, zero_add]⟩
#align is_coprime_one_right isCoprime_one_right
theorem IsCoprime.dvd_of_dvd_mul_right (H1 : IsCoprime x z) (H2 : x ∣ y * z) : x ∣ y := by
let ⟨a, b, H⟩ := H1
rw [← mul_one y, ← H, mul_add, ← mul_assoc, mul_left_comm]
exact dvd_add (dvd_mul_left _ _) (H2.mul_left _)
#align is_coprime.dvd_of_dvd_mul_right IsCoprime.dvd_of_dvd_mul_right
theorem IsCoprime.dvd_of_dvd_mul_left (H1 : IsCoprime x y) (H2 : x ∣ y * z) : x ∣ z := by
let ⟨a, b, H⟩ := H1
rw [← one_mul z, ← H, add_mul, mul_right_comm, mul_assoc b]
exact dvd_add (dvd_mul_left _ _) (H2.mul_left _)
#align is_coprime.dvd_of_dvd_mul_left IsCoprime.dvd_of_dvd_mul_left
theorem IsCoprime.mul_left (H1 : IsCoprime x z) (H2 : IsCoprime y z) : IsCoprime (x * y) z :=
let ⟨a, b, h1⟩ := H1
let ⟨c, d, h2⟩ := H2
⟨a * c, a * x * d + b * c * y + b * d * z,
calc a * c * (x * y) + (a * x * d + b * c * y + b * d * z) * z
_ = (a * x + b * z) * (c * y + d * z) := by ring
_ = 1 := by rw [h1, h2, mul_one]
⟩
#align is_coprime.mul_left IsCoprime.mul_left
theorem IsCoprime.mul_right (H1 : IsCoprime x y) (H2 : IsCoprime x z) : IsCoprime x (y * z) := by
rw [isCoprime_comm] at H1 H2 ⊢
exact H1.mul_left H2
#align is_coprime.mul_right IsCoprime.mul_right
theorem IsCoprime.mul_dvd (H : IsCoprime x y) (H1 : x ∣ z) (H2 : y ∣ z) : x * y ∣ z := by
obtain ⟨a, b, h⟩ := H
rw [← mul_one z, ← h, mul_add]
apply dvd_add
· rw [mul_comm z, mul_assoc]
exact (mul_dvd_mul_left _ H2).mul_left _
· rw [mul_comm b, ← mul_assoc]
exact (mul_dvd_mul_right H1 _).mul_right _
#align is_coprime.mul_dvd IsCoprime.mul_dvd
theorem IsCoprime.of_mul_left_left (H : IsCoprime (x * y) z) : IsCoprime x z :=
let ⟨a, b, h⟩ := H
⟨a * y, b, by rwa [mul_right_comm, mul_assoc]⟩
#align is_coprime.of_mul_left_left IsCoprime.of_mul_left_left
theorem IsCoprime.of_mul_left_right (H : IsCoprime (x * y) z) : IsCoprime y z := by
rw [mul_comm] at H
exact H.of_mul_left_left
#align is_coprime.of_mul_left_right IsCoprime.of_mul_left_right
theorem IsCoprime.of_mul_right_left (H : IsCoprime x (y * z)) : IsCoprime x y := by
rw [isCoprime_comm] at H ⊢
exact H.of_mul_left_left
#align is_coprime.of_mul_right_left IsCoprime.of_mul_right_left
| Mathlib/RingTheory/Coprime/Basic.lean | 154 | 156 | theorem IsCoprime.of_mul_right_right (H : IsCoprime x (y * z)) : IsCoprime x z := by |
rw [mul_comm] at H
exact H.of_mul_right_left
|
import Mathlib.Topology.Algebra.UniformGroup
import Mathlib.Topology.UniformSpace.Pi
import Mathlib.Data.Matrix.Basic
#align_import topology.uniform_space.matrix from "leanprover-community/mathlib"@"f2ce6086713c78a7f880485f7917ea547a215982"
open Uniformity Topology
variable (m n 𝕜 : Type*) [UniformSpace 𝕜]
namespace Matrix
instance instUniformSpace : UniformSpace (Matrix m n 𝕜) :=
(by infer_instance : UniformSpace (m → n → 𝕜))
instance instUniformAddGroup [AddGroup 𝕜] [UniformAddGroup 𝕜] :
UniformAddGroup (Matrix m n 𝕜) :=
inferInstanceAs <| UniformAddGroup (m → n → 𝕜)
| Mathlib/Topology/UniformSpace/Matrix.lean | 30 | 34 | theorem uniformity :
𝓤 (Matrix m n 𝕜) = ⨅ (i : m) (j : n), (𝓤 𝕜).comap fun a => (a.1 i j, a.2 i j) := by |
erw [Pi.uniformity]
simp_rw [Pi.uniformity, Filter.comap_iInf, Filter.comap_comap]
rfl
|
import Mathlib.Data.ENat.Lattice
import Mathlib.Order.OrderIsoNat
import Mathlib.Tactic.TFAE
#align_import order.height from "leanprover-community/mathlib"@"bf27744463e9620ca4e4ebe951fe83530ae6949b"
open List hiding le_antisymm
open OrderDual
universe u v
variable {α β : Type*}
namespace Set
section LT
variable [LT α] [LT β] (s t : Set α)
def subchain : Set (List α) :=
{ l | l.Chain' (· < ·) ∧ ∀ i ∈ l, i ∈ s }
#align set.subchain Set.subchain
@[simp] -- porting note: new `simp`
theorem nil_mem_subchain : [] ∈ s.subchain := ⟨trivial, fun _ ↦ nofun⟩
#align set.nil_mem_subchain Set.nil_mem_subchain
variable {s} {l : List α} {a : α}
| Mathlib/Order/Height.lean | 70 | 73 | theorem cons_mem_subchain_iff :
(a::l) ∈ s.subchain ↔ a ∈ s ∧ l ∈ s.subchain ∧ ∀ b ∈ l.head?, a < b := by |
simp only [subchain, mem_setOf_eq, forall_mem_cons, chain'_cons', and_left_comm, and_comm,
and_assoc]
|
import Mathlib.Order.MinMax
import Mathlib.Data.Set.Subsingleton
import Mathlib.Tactic.Says
#align_import data.set.intervals.basic from "leanprover-community/mathlib"@"3ba15165bd6927679be7c22d6091a87337e3cd0c"
open Function
open OrderDual (toDual ofDual)
variable {α β : Type*}
namespace Set
section Preorder
variable [Preorder α] {a a₁ a₂ b b₁ b₂ c x : α}
def Ioo (a b : α) :=
{ x | a < x ∧ x < b }
#align set.Ioo Set.Ioo
def Ico (a b : α) :=
{ x | a ≤ x ∧ x < b }
#align set.Ico Set.Ico
def Iio (a : α) :=
{ x | x < a }
#align set.Iio Set.Iio
def Icc (a b : α) :=
{ x | a ≤ x ∧ x ≤ b }
#align set.Icc Set.Icc
def Iic (b : α) :=
{ x | x ≤ b }
#align set.Iic Set.Iic
def Ioc (a b : α) :=
{ x | a < x ∧ x ≤ b }
#align set.Ioc Set.Ioc
def Ici (a : α) :=
{ x | a ≤ x }
#align set.Ici Set.Ici
def Ioi (a : α) :=
{ x | a < x }
#align set.Ioi Set.Ioi
theorem Ioo_def (a b : α) : { x | a < x ∧ x < b } = Ioo a b :=
rfl
#align set.Ioo_def Set.Ioo_def
theorem Ico_def (a b : α) : { x | a ≤ x ∧ x < b } = Ico a b :=
rfl
#align set.Ico_def Set.Ico_def
theorem Iio_def (a : α) : { x | x < a } = Iio a :=
rfl
#align set.Iio_def Set.Iio_def
theorem Icc_def (a b : α) : { x | a ≤ x ∧ x ≤ b } = Icc a b :=
rfl
#align set.Icc_def Set.Icc_def
theorem Iic_def (b : α) : { x | x ≤ b } = Iic b :=
rfl
#align set.Iic_def Set.Iic_def
theorem Ioc_def (a b : α) : { x | a < x ∧ x ≤ b } = Ioc a b :=
rfl
#align set.Ioc_def Set.Ioc_def
theorem Ici_def (a : α) : { x | a ≤ x } = Ici a :=
rfl
#align set.Ici_def Set.Ici_def
theorem Ioi_def (a : α) : { x | a < x } = Ioi a :=
rfl
#align set.Ioi_def Set.Ioi_def
@[simp]
theorem mem_Ioo : x ∈ Ioo a b ↔ a < x ∧ x < b :=
Iff.rfl
#align set.mem_Ioo Set.mem_Ioo
@[simp]
theorem mem_Ico : x ∈ Ico a b ↔ a ≤ x ∧ x < b :=
Iff.rfl
#align set.mem_Ico Set.mem_Ico
@[simp]
theorem mem_Iio : x ∈ Iio b ↔ x < b :=
Iff.rfl
#align set.mem_Iio Set.mem_Iio
@[simp]
theorem mem_Icc : x ∈ Icc a b ↔ a ≤ x ∧ x ≤ b :=
Iff.rfl
#align set.mem_Icc Set.mem_Icc
@[simp]
theorem mem_Iic : x ∈ Iic b ↔ x ≤ b :=
Iff.rfl
#align set.mem_Iic Set.mem_Iic
@[simp]
theorem mem_Ioc : x ∈ Ioc a b ↔ a < x ∧ x ≤ b :=
Iff.rfl
#align set.mem_Ioc Set.mem_Ioc
@[simp]
theorem mem_Ici : x ∈ Ici a ↔ a ≤ x :=
Iff.rfl
#align set.mem_Ici Set.mem_Ici
@[simp]
theorem mem_Ioi : x ∈ Ioi a ↔ a < x :=
Iff.rfl
#align set.mem_Ioi Set.mem_Ioi
instance decidableMemIoo [Decidable (a < x ∧ x < b)] : Decidable (x ∈ Ioo a b) := by assumption
#align set.decidable_mem_Ioo Set.decidableMemIoo
instance decidableMemIco [Decidable (a ≤ x ∧ x < b)] : Decidable (x ∈ Ico a b) := by assumption
#align set.decidable_mem_Ico Set.decidableMemIco
instance decidableMemIio [Decidable (x < b)] : Decidable (x ∈ Iio b) := by assumption
#align set.decidable_mem_Iio Set.decidableMemIio
instance decidableMemIcc [Decidable (a ≤ x ∧ x ≤ b)] : Decidable (x ∈ Icc a b) := by assumption
#align set.decidable_mem_Icc Set.decidableMemIcc
instance decidableMemIic [Decidable (x ≤ b)] : Decidable (x ∈ Iic b) := by assumption
#align set.decidable_mem_Iic Set.decidableMemIic
instance decidableMemIoc [Decidable (a < x ∧ x ≤ b)] : Decidable (x ∈ Ioc a b) := by assumption
#align set.decidable_mem_Ioc Set.decidableMemIoc
instance decidableMemIci [Decidable (a ≤ x)] : Decidable (x ∈ Ici a) := by assumption
#align set.decidable_mem_Ici Set.decidableMemIci
instance decidableMemIoi [Decidable (a < x)] : Decidable (x ∈ Ioi a) := by assumption
#align set.decidable_mem_Ioi Set.decidableMemIoi
-- Porting note (#10618): `simp` can prove this
-- @[simp]
theorem left_mem_Ioo : a ∈ Ioo a b ↔ False := by simp [lt_irrefl]
#align set.left_mem_Ioo Set.left_mem_Ioo
-- Porting note (#10618): `simp` can prove this
-- @[simp]
theorem left_mem_Ico : a ∈ Ico a b ↔ a < b := by simp [le_refl]
#align set.left_mem_Ico Set.left_mem_Ico
-- Porting note (#10618): `simp` can prove this
-- @[simp]
theorem left_mem_Icc : a ∈ Icc a b ↔ a ≤ b := by simp [le_refl]
#align set.left_mem_Icc Set.left_mem_Icc
-- Porting note (#10618): `simp` can prove this
-- @[simp]
theorem left_mem_Ioc : a ∈ Ioc a b ↔ False := by simp [lt_irrefl]
#align set.left_mem_Ioc Set.left_mem_Ioc
theorem left_mem_Ici : a ∈ Ici a := by simp
#align set.left_mem_Ici Set.left_mem_Ici
-- Porting note (#10618): `simp` can prove this
-- @[simp]
theorem right_mem_Ioo : b ∈ Ioo a b ↔ False := by simp [lt_irrefl]
#align set.right_mem_Ioo Set.right_mem_Ioo
-- Porting note (#10618): `simp` can prove this
-- @[simp]
theorem right_mem_Ico : b ∈ Ico a b ↔ False := by simp [lt_irrefl]
#align set.right_mem_Ico Set.right_mem_Ico
-- Porting note (#10618): `simp` can prove this
-- @[simp]
theorem right_mem_Icc : b ∈ Icc a b ↔ a ≤ b := by simp [le_refl]
#align set.right_mem_Icc Set.right_mem_Icc
-- Porting note (#10618): `simp` can prove this
-- @[simp]
| Mathlib/Order/Interval/Set/Basic.lean | 219 | 219 | theorem right_mem_Ioc : b ∈ Ioc a b ↔ a < b := by | simp [le_refl]
|
import Mathlib.Data.Fintype.List
#align_import data.list.cycle from "leanprover-community/mathlib"@"7413128c3bcb3b0818e3e18720abc9ea3100fb49"
assert_not_exists MonoidWithZero
namespace List
variable {α : Type*} [DecidableEq α]
def nextOr : ∀ (_ : List α) (_ _ : α), α
| [], _, default => default
| [_], _, default => default
-- Handles the not-found and the wraparound case
| y :: z :: xs, x, default => if x = y then z else nextOr (z :: xs) x default
#align list.next_or List.nextOr
@[simp]
theorem nextOr_nil (x d : α) : nextOr [] x d = d :=
rfl
#align list.next_or_nil List.nextOr_nil
@[simp]
theorem nextOr_singleton (x y d : α) : nextOr [y] x d = d :=
rfl
#align list.next_or_singleton List.nextOr_singleton
@[simp]
theorem nextOr_self_cons_cons (xs : List α) (x y d : α) : nextOr (x :: y :: xs) x d = y :=
if_pos rfl
#align list.next_or_self_cons_cons List.nextOr_self_cons_cons
theorem nextOr_cons_of_ne (xs : List α) (y x d : α) (h : x ≠ y) :
nextOr (y :: xs) x d = nextOr xs x d := by
cases' xs with z zs
· rfl
· exact if_neg h
#align list.next_or_cons_of_ne List.nextOr_cons_of_ne
theorem nextOr_eq_nextOr_of_mem_of_ne (xs : List α) (x d d' : α) (x_mem : x ∈ xs)
(x_ne : x ≠ xs.getLast (ne_nil_of_mem x_mem)) : nextOr xs x d = nextOr xs x d' := by
induction' xs with y ys IH
· cases x_mem
cases' ys with z zs
· simp at x_mem x_ne
contradiction
by_cases h : x = y
· rw [h, nextOr_self_cons_cons, nextOr_self_cons_cons]
· rw [nextOr, nextOr, IH]
· simpa [h] using x_mem
· simpa using x_ne
#align list.next_or_eq_next_or_of_mem_of_ne List.nextOr_eq_nextOr_of_mem_of_ne
theorem mem_of_nextOr_ne {xs : List α} {x d : α} (h : nextOr xs x d ≠ d) : x ∈ xs := by
induction' xs with y ys IH
· simp at h
cases' ys with z zs
· simp at h
· by_cases hx : x = y
· simp [hx]
· rw [nextOr_cons_of_ne _ _ _ _ hx] at h
simpa [hx] using IH h
#align list.mem_of_next_or_ne List.mem_of_nextOr_ne
theorem nextOr_concat {xs : List α} {x : α} (d : α) (h : x ∉ xs) : nextOr (xs ++ [x]) x d = d := by
induction' xs with z zs IH
· simp
· obtain ⟨hz, hzs⟩ := not_or.mp (mt mem_cons.2 h)
rw [cons_append, nextOr_cons_of_ne _ _ _ _ hz, IH hzs]
#align list.next_or_concat List.nextOr_concat
theorem nextOr_mem {xs : List α} {x d : α} (hd : d ∈ xs) : nextOr xs x d ∈ xs := by
revert hd
suffices ∀ xs' : List α, (∀ x ∈ xs, x ∈ xs') → d ∈ xs' → nextOr xs x d ∈ xs' by
exact this xs fun _ => id
intro xs' hxs' hd
induction' xs with y ys ih
· exact hd
cases' ys with z zs
· exact hd
rw [nextOr]
split_ifs with h
· exact hxs' _ (mem_cons_of_mem _ (mem_cons_self _ _))
· exact ih fun _ h => hxs' _ (mem_cons_of_mem _ h)
#align list.next_or_mem List.nextOr_mem
def next (l : List α) (x : α) (h : x ∈ l) : α :=
nextOr l x (l.get ⟨0, length_pos_of_mem h⟩)
#align list.next List.next
def prev : ∀ l : List α, ∀ x ∈ l, α
| [], _, h => by simp at h
| [y], _, _ => y
| y :: z :: xs, x, h =>
if hx : x = y then getLast (z :: xs) (cons_ne_nil _ _)
else if x = z then y else prev (z :: xs) x (by simpa [hx] using h)
#align list.prev List.prev
variable (l : List α) (x : α)
@[simp]
theorem next_singleton (x y : α) (h : x ∈ [y]) : next [y] x h = y :=
rfl
#align list.next_singleton List.next_singleton
@[simp]
theorem prev_singleton (x y : α) (h : x ∈ [y]) : prev [y] x h = y :=
rfl
#align list.prev_singleton List.prev_singleton
theorem next_cons_cons_eq' (y z : α) (h : x ∈ y :: z :: l) (hx : x = y) :
next (y :: z :: l) x h = z := by rw [next, nextOr, if_pos hx]
#align list.next_cons_cons_eq' List.next_cons_cons_eq'
@[simp]
theorem next_cons_cons_eq (z : α) (h : x ∈ x :: z :: l) : next (x :: z :: l) x h = z :=
next_cons_cons_eq' l x x z h rfl
#align list.next_cons_cons_eq List.next_cons_cons_eq
theorem next_ne_head_ne_getLast (h : x ∈ l) (y : α) (h : x ∈ y :: l) (hy : x ≠ y)
(hx : x ≠ getLast (y :: l) (cons_ne_nil _ _)) :
next (y :: l) x h = next l x (by simpa [hy] using h) := by
rw [next, next, nextOr_cons_of_ne _ _ _ _ hy, nextOr_eq_nextOr_of_mem_of_ne]
· rwa [getLast_cons] at hx
exact ne_nil_of_mem (by assumption)
· rwa [getLast_cons] at hx
#align list.next_ne_head_ne_last List.next_ne_head_ne_getLast
theorem next_cons_concat (y : α) (hy : x ≠ y) (hx : x ∉ l)
(h : x ∈ y :: l ++ [x] := mem_append_right _ (mem_singleton_self x)) :
next (y :: l ++ [x]) x h = y := by
rw [next, nextOr_concat]
· rfl
· simp [hy, hx]
#align list.next_cons_concat List.next_cons_concat
theorem next_getLast_cons (h : x ∈ l) (y : α) (h : x ∈ y :: l) (hy : x ≠ y)
(hx : x = getLast (y :: l) (cons_ne_nil _ _)) (hl : Nodup l) : next (y :: l) x h = y := by
rw [next, get, ← dropLast_append_getLast (cons_ne_nil y l), hx, nextOr_concat]
subst hx
intro H
obtain ⟨⟨_ | k, hk⟩, hk'⟩ := get_of_mem H
· rw [← Option.some_inj] at hk'
rw [← get?_eq_get, dropLast_eq_take, get?_take, get?_zero, head?_cons,
Option.some_inj] at hk'
· exact hy (Eq.symm hk')
rw [length_cons, Nat.pred_succ]
exact length_pos_of_mem (by assumption)
suffices k + 1 = l.length by simp [this] at hk
cases' l with hd tl
· simp at hk
· rw [nodup_iff_injective_get] at hl
rw [length, Nat.succ_inj']
refine Fin.val_eq_of_eq <| @hl ⟨k, Nat.lt_of_succ_lt <| by simpa using hk⟩
⟨tl.length, by simp⟩ ?_
rw [← Option.some_inj] at hk'
rw [← get?_eq_get, dropLast_eq_take, get?_take, get?, get?_eq_get, Option.some_inj] at hk'
· rw [hk']
simp only [getLast_eq_get, length_cons, ge_iff_le, Nat.succ_sub_succ_eq_sub,
nonpos_iff_eq_zero, add_eq_zero_iff, and_false, Nat.sub_zero, get_cons_succ]
simpa using hk
#align list.next_last_cons List.next_getLast_cons
theorem prev_getLast_cons' (y : α) (hxy : x ∈ y :: l) (hx : x = y) :
prev (y :: l) x hxy = getLast (y :: l) (cons_ne_nil _ _) := by cases l <;> simp [prev, hx]
#align list.prev_last_cons' List.prev_getLast_cons'
@[simp]
theorem prev_getLast_cons (h : x ∈ x :: l) :
prev (x :: l) x h = getLast (x :: l) (cons_ne_nil _ _) :=
prev_getLast_cons' l x x h rfl
#align list.prev_last_cons List.prev_getLast_cons
| Mathlib/Data/List/Cycle.lean | 217 | 218 | theorem prev_cons_cons_eq' (y z : α) (h : x ∈ y :: z :: l) (hx : x = y) :
prev (y :: z :: l) x h = getLast (z :: l) (cons_ne_nil _ _) := by | rw [prev, dif_pos hx]
|
import Mathlib.Algebra.Polynomial.Eval
#align_import data.polynomial.degree.lemmas from "leanprover-community/mathlib"@"728baa2f54e6062c5879a3e397ac6bac323e506f"
noncomputable section
open Polynomial
open Finsupp Finset
namespace Polynomial
universe u v w
variable {R : Type u} {S : Type v} {ι : Type w} {a b : R} {m n : ℕ}
section Semiring
variable [Semiring R] {p q r : R[X]}
section Degree
| Mathlib/Algebra/Polynomial/Degree/Lemmas.lean | 37 | 61 | theorem natDegree_comp_le : natDegree (p.comp q) ≤ natDegree p * natDegree q :=
letI := Classical.decEq R
if h0 : p.comp q = 0 then by rw [h0, natDegree_zero]; exact Nat.zero_le _
else
WithBot.coe_le_coe.1 <|
calc
↑(natDegree (p.comp q)) = degree (p.comp q) := (degree_eq_natDegree h0).symm
_ = _ := congr_arg degree comp_eq_sum_left
_ ≤ _ := degree_sum_le _ _
_ ≤ _ :=
Finset.sup_le fun n hn =>
calc
degree (C (coeff p n) * q ^ n) ≤ degree (C (coeff p n)) + degree (q ^ n) :=
degree_mul_le _ _
_ ≤ natDegree (C (coeff p n)) + n • degree q :=
(add_le_add degree_le_natDegree (degree_pow_le _ _))
_ ≤ natDegree (C (coeff p n)) + n • ↑(natDegree q) :=
(add_le_add_left (nsmul_le_nsmul_right (@degree_le_natDegree _ _ q) n) _)
_ = (n * natDegree q : ℕ) := by |
rw [natDegree_C, Nat.cast_zero, zero_add, nsmul_eq_mul];
simp
_ ≤ (natDegree p * natDegree q : ℕ) :=
WithBot.coe_le_coe.2 <|
mul_le_mul_of_nonneg_right (le_natDegree_of_ne_zero (mem_support_iff.1 hn))
(Nat.zero_le _)
|
import Mathlib.Probability.Martingale.Upcrossing
import Mathlib.MeasureTheory.Function.UniformIntegrable
import Mathlib.MeasureTheory.Constructions.Polish
#align_import probability.martingale.convergence from "leanprover-community/mathlib"@"f2ce6086713c78a7f880485f7917ea547a215982"
open TopologicalSpace Filter MeasureTheory.Filtration
open scoped NNReal ENNReal MeasureTheory ProbabilityTheory Topology
namespace MeasureTheory
variable {Ω ι : Type*} {m0 : MeasurableSpace Ω} {μ : Measure Ω} {ℱ : Filtration ℕ m0}
variable {a b : ℝ} {f : ℕ → Ω → ℝ} {ω : Ω} {R : ℝ≥0}
section AeConvergence
theorem not_frequently_of_upcrossings_lt_top (hab : a < b) (hω : upcrossings a b f ω ≠ ∞) :
¬((∃ᶠ n in atTop, f n ω < a) ∧ ∃ᶠ n in atTop, b < f n ω) := by
rw [← lt_top_iff_ne_top, upcrossings_lt_top_iff] at hω
replace hω : ∃ k, ∀ N, upcrossingsBefore a b f N ω < k := by
obtain ⟨k, hk⟩ := hω
exact ⟨k + 1, fun N => lt_of_le_of_lt (hk N) k.lt_succ_self⟩
rintro ⟨h₁, h₂⟩
rw [frequently_atTop] at h₁ h₂
refine Classical.not_not.2 hω ?_
push_neg
intro k
induction' k with k ih
· simp only [Nat.zero_eq, zero_le, exists_const]
· obtain ⟨N, hN⟩ := ih
obtain ⟨N₁, hN₁, hN₁'⟩ := h₁ N
obtain ⟨N₂, hN₂, hN₂'⟩ := h₂ N₁
exact ⟨N₂ + 1, Nat.succ_le_of_lt <|
lt_of_le_of_lt hN (upcrossingsBefore_lt_of_exists_upcrossing hab hN₁ hN₁' hN₂ hN₂')⟩
#align measure_theory.not_frequently_of_upcrossings_lt_top MeasureTheory.not_frequently_of_upcrossings_lt_top
theorem upcrossings_eq_top_of_frequently_lt (hab : a < b) (h₁ : ∃ᶠ n in atTop, f n ω < a)
(h₂ : ∃ᶠ n in atTop, b < f n ω) : upcrossings a b f ω = ∞ :=
by_contradiction fun h => not_frequently_of_upcrossings_lt_top hab h ⟨h₁, h₂⟩
#align measure_theory.upcrossings_eq_top_of_frequently_lt MeasureTheory.upcrossings_eq_top_of_frequently_lt
| Mathlib/Probability/Martingale/Convergence.lean | 141 | 152 | theorem tendsto_of_uncrossing_lt_top (hf₁ : liminf (fun n => (‖f n ω‖₊ : ℝ≥0∞)) atTop < ∞)
(hf₂ : ∀ a b : ℚ, a < b → upcrossings a b f ω < ∞) :
∃ c, Tendsto (fun n => f n ω) atTop (𝓝 c) := by |
by_cases h : IsBoundedUnder (· ≤ ·) atTop fun n => |f n ω|
· rw [isBoundedUnder_le_abs] at h
refine tendsto_of_no_upcrossings Rat.denseRange_cast ?_ h.1 h.2
intro a ha b hb hab
obtain ⟨⟨a, rfl⟩, ⟨b, rfl⟩⟩ := ha, hb
exact not_frequently_of_upcrossings_lt_top hab (hf₂ a b (Rat.cast_lt.1 hab)).ne
· obtain ⟨a, b, hab, h₁, h₂⟩ := ENNReal.exists_upcrossings_of_not_bounded_under hf₁.ne h
exact
False.elim ((hf₂ a b hab).ne (upcrossings_eq_top_of_frequently_lt (Rat.cast_lt.2 hab) h₁ h₂))
|
import Mathlib.Geometry.Euclidean.Circumcenter
#align_import geometry.euclidean.monge_point from "leanprover-community/mathlib"@"1a4df69ca1a9a0e5e26bfe12e2b92814216016d0"
noncomputable section
open scoped Classical
open scoped RealInnerProductSpace
namespace Affine
namespace Simplex
open Finset AffineSubspace EuclideanGeometry PointsWithCircumcenterIndex
variable {V : Type*} {P : Type*} [NormedAddCommGroup V] [InnerProductSpace ℝ V] [MetricSpace P]
[NormedAddTorsor V P]
def mongePoint {n : ℕ} (s : Simplex ℝ P n) : P :=
(((n + 1 : ℕ) : ℝ) / ((n - 1 : ℕ) : ℝ)) •
((univ : Finset (Fin (n + 1))).centroid ℝ s.points -ᵥ s.circumcenter) +ᵥ
s.circumcenter
#align affine.simplex.monge_point Affine.Simplex.mongePoint
theorem mongePoint_eq_smul_vsub_vadd_circumcenter {n : ℕ} (s : Simplex ℝ P n) :
s.mongePoint =
(((n + 1 : ℕ) : ℝ) / ((n - 1 : ℕ) : ℝ)) •
((univ : Finset (Fin (n + 1))).centroid ℝ s.points -ᵥ s.circumcenter) +ᵥ
s.circumcenter :=
rfl
#align affine.simplex.monge_point_eq_smul_vsub_vadd_circumcenter Affine.Simplex.mongePoint_eq_smul_vsub_vadd_circumcenter
theorem mongePoint_mem_affineSpan {n : ℕ} (s : Simplex ℝ P n) :
s.mongePoint ∈ affineSpan ℝ (Set.range s.points) :=
smul_vsub_vadd_mem _ _ (centroid_mem_affineSpan_of_card_eq_add_one ℝ _ (card_fin (n + 1)))
s.circumcenter_mem_affineSpan s.circumcenter_mem_affineSpan
#align affine.simplex.monge_point_mem_affine_span Affine.Simplex.mongePoint_mem_affineSpan
theorem mongePoint_eq_of_range_eq {n : ℕ} {s₁ s₂ : Simplex ℝ P n}
(h : Set.range s₁.points = Set.range s₂.points) : s₁.mongePoint = s₂.mongePoint := by
simp_rw [mongePoint_eq_smul_vsub_vadd_circumcenter, centroid_eq_of_range_eq h,
circumcenter_eq_of_range_eq h]
#align affine.simplex.monge_point_eq_of_range_eq Affine.Simplex.mongePoint_eq_of_range_eq
def mongePointWeightsWithCircumcenter (n : ℕ) : PointsWithCircumcenterIndex (n + 2) → ℝ
| pointIndex _ => ((n + 1 : ℕ) : ℝ)⁻¹
| circumcenterIndex => -2 / ((n + 1 : ℕ) : ℝ)
#align affine.simplex.monge_point_weights_with_circumcenter Affine.Simplex.mongePointWeightsWithCircumcenter
@[simp]
theorem sum_mongePointWeightsWithCircumcenter (n : ℕ) :
∑ i, mongePointWeightsWithCircumcenter n i = 1 := by
simp_rw [sum_pointsWithCircumcenter, mongePointWeightsWithCircumcenter, sum_const, card_fin,
nsmul_eq_mul]
-- Porting note: replaced
-- have hn1 : (n + 1 : ℝ) ≠ 0 := mod_cast Nat.succ_ne_zero _
field_simp [n.cast_add_one_ne_zero]
ring
#align affine.simplex.sum_monge_point_weights_with_circumcenter Affine.Simplex.sum_mongePointWeightsWithCircumcenter
theorem mongePoint_eq_affineCombination_of_pointsWithCircumcenter {n : ℕ}
(s : Simplex ℝ P (n + 2)) :
s.mongePoint =
(univ : Finset (PointsWithCircumcenterIndex (n + 2))).affineCombination ℝ
s.pointsWithCircumcenter (mongePointWeightsWithCircumcenter n) := by
rw [mongePoint_eq_smul_vsub_vadd_circumcenter,
centroid_eq_affineCombination_of_pointsWithCircumcenter,
circumcenter_eq_affineCombination_of_pointsWithCircumcenter, affineCombination_vsub,
← LinearMap.map_smul, weightedVSub_vadd_affineCombination]
congr with i
rw [Pi.add_apply, Pi.smul_apply, smul_eq_mul, Pi.sub_apply]
-- Porting note: replaced
-- have hn1 : (n + 1 : ℝ) ≠ 0 := mod_cast Nat.succ_ne_zero _
have hn1 : (n + 1 : ℝ) ≠ 0 := n.cast_add_one_ne_zero
cases i <;>
simp_rw [centroidWeightsWithCircumcenter, circumcenterWeightsWithCircumcenter,
mongePointWeightsWithCircumcenter] <;>
rw [add_tsub_assoc_of_le (by decide : 1 ≤ 2), (by decide : 2 - 1 = 1)]
· rw [if_pos (mem_univ _), sub_zero, add_zero, card_fin]
-- Porting note: replaced
-- have hn3 : (n + 2 + 1 : ℝ) ≠ 0 := mod_cast Nat.succ_ne_zero _
have hn3 : (n + 2 + 1 : ℝ) ≠ 0 := by norm_cast
field_simp [hn1, hn3, mul_comm]
· field_simp [hn1]
ring
#align affine.simplex.monge_point_eq_affine_combination_of_points_with_circumcenter Affine.Simplex.mongePoint_eq_affineCombination_of_pointsWithCircumcenter
def mongePointVSubFaceCentroidWeightsWithCircumcenter {n : ℕ} (i₁ i₂ : Fin (n + 3)) :
PointsWithCircumcenterIndex (n + 2) → ℝ
| pointIndex i => if i = i₁ ∨ i = i₂ then ((n + 1 : ℕ) : ℝ)⁻¹ else 0
| circumcenterIndex => -2 / ((n + 1 : ℕ) : ℝ)
#align affine.simplex.monge_point_vsub_face_centroid_weights_with_circumcenter Affine.Simplex.mongePointVSubFaceCentroidWeightsWithCircumcenter
theorem mongePointVSubFaceCentroidWeightsWithCircumcenter_eq_sub {n : ℕ} {i₁ i₂ : Fin (n + 3)}
(h : i₁ ≠ i₂) :
mongePointVSubFaceCentroidWeightsWithCircumcenter i₁ i₂ =
mongePointWeightsWithCircumcenter n - centroidWeightsWithCircumcenter {i₁, i₂}ᶜ := by
ext i
cases' i with i
· rw [Pi.sub_apply, mongePointWeightsWithCircumcenter, centroidWeightsWithCircumcenter,
mongePointVSubFaceCentroidWeightsWithCircumcenter]
have hu : card ({i₁, i₂}ᶜ : Finset (Fin (n + 3))) = n + 1 := by
simp [card_compl, Fintype.card_fin, h]
rw [hu]
by_cases hi : i = i₁ ∨ i = i₂ <;> simp [compl_eq_univ_sdiff, hi]
· simp [mongePointWeightsWithCircumcenter, centroidWeightsWithCircumcenter,
mongePointVSubFaceCentroidWeightsWithCircumcenter]
#align affine.simplex.monge_point_vsub_face_centroid_weights_with_circumcenter_eq_sub Affine.Simplex.mongePointVSubFaceCentroidWeightsWithCircumcenter_eq_sub
@[simp]
theorem sum_mongePointVSubFaceCentroidWeightsWithCircumcenter {n : ℕ} {i₁ i₂ : Fin (n + 3)}
(h : i₁ ≠ i₂) : ∑ i, mongePointVSubFaceCentroidWeightsWithCircumcenter i₁ i₂ i = 0 := by
rw [mongePointVSubFaceCentroidWeightsWithCircumcenter_eq_sub h]
simp_rw [Pi.sub_apply, sum_sub_distrib, sum_mongePointWeightsWithCircumcenter]
rw [sum_centroidWeightsWithCircumcenter, sub_self]
simp [← card_pos, card_compl, h]
#align affine.simplex.sum_monge_point_vsub_face_centroid_weights_with_circumcenter Affine.Simplex.sum_mongePointVSubFaceCentroidWeightsWithCircumcenter
theorem mongePoint_vsub_face_centroid_eq_weightedVSub_of_pointsWithCircumcenter {n : ℕ}
(s : Simplex ℝ P (n + 2)) {i₁ i₂ : Fin (n + 3)} (h : i₁ ≠ i₂) :
s.mongePoint -ᵥ ({i₁, i₂}ᶜ : Finset (Fin (n + 3))).centroid ℝ s.points =
(univ : Finset (PointsWithCircumcenterIndex (n + 2))).weightedVSub s.pointsWithCircumcenter
(mongePointVSubFaceCentroidWeightsWithCircumcenter i₁ i₂) := by
simp_rw [mongePoint_eq_affineCombination_of_pointsWithCircumcenter,
centroid_eq_affineCombination_of_pointsWithCircumcenter, affineCombination_vsub,
mongePointVSubFaceCentroidWeightsWithCircumcenter_eq_sub h]
#align affine.simplex.monge_point_vsub_face_centroid_eq_weighted_vsub_of_points_with_circumcenter Affine.Simplex.mongePoint_vsub_face_centroid_eq_weightedVSub_of_pointsWithCircumcenter
theorem inner_mongePoint_vsub_face_centroid_vsub {n : ℕ} (s : Simplex ℝ P (n + 2))
{i₁ i₂ : Fin (n + 3)} :
⟪s.mongePoint -ᵥ ({i₁, i₂}ᶜ : Finset (Fin (n + 3))).centroid ℝ s.points,
s.points i₁ -ᵥ s.points i₂⟫ =
0 := by
by_cases h : i₁ = i₂
· simp [h]
simp_rw [mongePoint_vsub_face_centroid_eq_weightedVSub_of_pointsWithCircumcenter s h,
point_eq_affineCombination_of_pointsWithCircumcenter, affineCombination_vsub]
have hs : ∑ i, (pointWeightsWithCircumcenter i₁ - pointWeightsWithCircumcenter i₂) i = 0 := by
simp
rw [inner_weightedVSub _ (sum_mongePointVSubFaceCentroidWeightsWithCircumcenter h) _ hs,
sum_pointsWithCircumcenter, pointsWithCircumcenter_eq_circumcenter]
simp only [mongePointVSubFaceCentroidWeightsWithCircumcenter, pointsWithCircumcenter_point]
let fs : Finset (Fin (n + 3)) := {i₁, i₂}
have hfs : ∀ i : Fin (n + 3), i ∉ fs → i ≠ i₁ ∧ i ≠ i₂ := by
intro i hi
constructor <;> · intro hj; simp [fs, ← hj] at hi
rw [← sum_subset fs.subset_univ _]
· simp_rw [sum_pointsWithCircumcenter, pointsWithCircumcenter_eq_circumcenter,
pointsWithCircumcenter_point, Pi.sub_apply, pointWeightsWithCircumcenter]
rw [← sum_subset fs.subset_univ _]
· simp_rw [sum_insert (not_mem_singleton.2 h), sum_singleton]
repeat rw [← sum_subset fs.subset_univ _]
· simp_rw [sum_insert (not_mem_singleton.2 h), sum_singleton]
simp [h, Ne.symm h, dist_comm (s.points i₁)]
all_goals intro i _ hi; simp [hfs i hi]
· intro i _ hi
simp [hfs i hi, pointsWithCircumcenter]
· intro i _ hi
simp [hfs i hi]
#align affine.simplex.inner_monge_point_vsub_face_centroid_vsub Affine.Simplex.inner_mongePoint_vsub_face_centroid_vsub
def mongePlane {n : ℕ} (s : Simplex ℝ P (n + 2)) (i₁ i₂ : Fin (n + 3)) : AffineSubspace ℝ P :=
mk' (({i₁, i₂}ᶜ : Finset (Fin (n + 3))).centroid ℝ s.points) (ℝ ∙ s.points i₁ -ᵥ s.points i₂)ᗮ ⊓
affineSpan ℝ (Set.range s.points)
#align affine.simplex.monge_plane Affine.Simplex.mongePlane
theorem mongePlane_def {n : ℕ} (s : Simplex ℝ P (n + 2)) (i₁ i₂ : Fin (n + 3)) :
s.mongePlane i₁ i₂ =
mk' (({i₁, i₂}ᶜ : Finset (Fin (n + 3))).centroid ℝ s.points)
(ℝ ∙ s.points i₁ -ᵥ s.points i₂)ᗮ ⊓
affineSpan ℝ (Set.range s.points) :=
rfl
#align affine.simplex.monge_plane_def Affine.Simplex.mongePlane_def
theorem mongePlane_comm {n : ℕ} (s : Simplex ℝ P (n + 2)) (i₁ i₂ : Fin (n + 3)) :
s.mongePlane i₁ i₂ = s.mongePlane i₂ i₁ := by
simp_rw [mongePlane_def]
congr 3
· congr 1
exact pair_comm _ _
· ext
simp_rw [Submodule.mem_span_singleton]
constructor
all_goals rintro ⟨r, rfl⟩; use -r; rw [neg_smul, ← smul_neg, neg_vsub_eq_vsub_rev]
#align affine.simplex.monge_plane_comm Affine.Simplex.mongePlane_comm
theorem mongePoint_mem_mongePlane {n : ℕ} (s : Simplex ℝ P (n + 2)) {i₁ i₂ : Fin (n + 3)} :
s.mongePoint ∈ s.mongePlane i₁ i₂ := by
rw [mongePlane_def, mem_inf_iff, ← vsub_right_mem_direction_iff_mem (self_mem_mk' _ _),
direction_mk', Submodule.mem_orthogonal']
refine ⟨?_, s.mongePoint_mem_affineSpan⟩
intro v hv
rcases Submodule.mem_span_singleton.mp hv with ⟨r, rfl⟩
rw [inner_smul_right, s.inner_mongePoint_vsub_face_centroid_vsub, mul_zero]
#align affine.simplex.monge_point_mem_monge_plane Affine.Simplex.mongePoint_mem_mongePlane
theorem direction_mongePlane {n : ℕ} (s : Simplex ℝ P (n + 2)) {i₁ i₂ : Fin (n + 3)} :
(s.mongePlane i₁ i₂).direction =
(ℝ ∙ s.points i₁ -ᵥ s.points i₂)ᗮ ⊓ vectorSpan ℝ (Set.range s.points) := by
rw [mongePlane_def, direction_inf_of_mem_inf s.mongePoint_mem_mongePlane, direction_mk',
direction_affineSpan]
#align affine.simplex.direction_monge_plane Affine.Simplex.direction_mongePlane
theorem eq_mongePoint_of_forall_mem_mongePlane {n : ℕ} {s : Simplex ℝ P (n + 2)} {i₁ : Fin (n + 3)}
{p : P} (h : ∀ i₂, i₁ ≠ i₂ → p ∈ s.mongePlane i₁ i₂) : p = s.mongePoint := by
rw [← @vsub_eq_zero_iff_eq V]
have h' : ∀ i₂, i₁ ≠ i₂ → p -ᵥ s.mongePoint ∈
(ℝ ∙ s.points i₁ -ᵥ s.points i₂)ᗮ ⊓ vectorSpan ℝ (Set.range s.points) := by
intro i₂ hne
rw [← s.direction_mongePlane, vsub_right_mem_direction_iff_mem s.mongePoint_mem_mongePlane]
exact h i₂ hne
have hi : p -ᵥ s.mongePoint ∈ ⨅ i₂ : { i // i₁ ≠ i }, (ℝ ∙ s.points i₁ -ᵥ s.points i₂)ᗮ := by
rw [Submodule.mem_iInf]
exact fun i => (Submodule.mem_inf.1 (h' i i.property)).1
rw [Submodule.iInf_orthogonal, ← Submodule.span_iUnion] at hi
have hu :
⋃ i : { i // i₁ ≠ i }, ({s.points i₁ -ᵥ s.points i} : Set V) =
(s.points i₁ -ᵥ ·) '' (s.points '' (Set.univ \ {i₁})) := by
rw [Set.image_image]
ext x
simp_rw [Set.mem_iUnion, Set.mem_image, Set.mem_singleton_iff, Set.mem_diff_singleton]
constructor
· rintro ⟨i, rfl⟩
use i, ⟨Set.mem_univ _, i.property.symm⟩
· rintro ⟨i, ⟨-, hi⟩, rfl⟩
-- Porting note: was `use ⟨i, hi.symm⟩, rfl`
exact ⟨⟨i, hi.symm⟩, rfl⟩
rw [hu, ← vectorSpan_image_eq_span_vsub_set_left_ne ℝ _ (Set.mem_univ _), Set.image_univ] at hi
have hv : p -ᵥ s.mongePoint ∈ vectorSpan ℝ (Set.range s.points) := by
let s₁ : Finset (Fin (n + 3)) := univ.erase i₁
obtain ⟨i₂, h₂⟩ := card_pos.1 (show 0 < card s₁ by simp [s₁, card_erase_of_mem])
have h₁₂ : i₁ ≠ i₂ := (ne_of_mem_erase h₂).symm
exact (Submodule.mem_inf.1 (h' i₂ h₁₂)).2
exact Submodule.disjoint_def.1 (vectorSpan ℝ (Set.range s.points)).orthogonal_disjoint _ hv hi
#align affine.simplex.eq_monge_point_of_forall_mem_monge_plane Affine.Simplex.eq_mongePoint_of_forall_mem_mongePlane
def altitude {n : ℕ} (s : Simplex ℝ P (n + 1)) (i : Fin (n + 2)) : AffineSubspace ℝ P :=
mk' (s.points i) (affineSpan ℝ (s.points '' ↑(univ.erase i))).directionᗮ ⊓
affineSpan ℝ (Set.range s.points)
#align affine.simplex.altitude Affine.Simplex.altitude
theorem altitude_def {n : ℕ} (s : Simplex ℝ P (n + 1)) (i : Fin (n + 2)) :
s.altitude i =
mk' (s.points i) (affineSpan ℝ (s.points '' ↑(univ.erase i))).directionᗮ ⊓
affineSpan ℝ (Set.range s.points) :=
rfl
#align affine.simplex.altitude_def Affine.Simplex.altitude_def
theorem mem_altitude {n : ℕ} (s : Simplex ℝ P (n + 1)) (i : Fin (n + 2)) :
s.points i ∈ s.altitude i :=
(mem_inf_iff _ _ _).2 ⟨self_mem_mk' _ _, mem_affineSpan ℝ (Set.mem_range_self _)⟩
#align affine.simplex.mem_altitude Affine.Simplex.mem_altitude
theorem direction_altitude {n : ℕ} (s : Simplex ℝ P (n + 1)) (i : Fin (n + 2)) :
(s.altitude i).direction =
(vectorSpan ℝ (s.points '' ↑(Finset.univ.erase i)))ᗮ ⊓ vectorSpan ℝ (Set.range s.points) := by
rw [altitude_def,
direction_inf_of_mem (self_mem_mk' (s.points i) _) (mem_affineSpan ℝ (Set.mem_range_self _)),
direction_mk', direction_affineSpan, direction_affineSpan]
#align affine.simplex.direction_altitude Affine.Simplex.direction_altitude
theorem vectorSpan_isOrtho_altitude_direction {n : ℕ} (s : Simplex ℝ P (n + 1)) (i : Fin (n + 2)) :
vectorSpan ℝ (s.points '' ↑(Finset.univ.erase i)) ⟂ (s.altitude i).direction := by
rw [direction_altitude]
exact (Submodule.isOrtho_orthogonal_right _).mono_right inf_le_left
#align affine.simplex.vector_span_is_ortho_altitude_direction Affine.Simplex.vectorSpan_isOrtho_altitude_direction
open FiniteDimensional
instance finiteDimensional_direction_altitude {n : ℕ} (s : Simplex ℝ P (n + 1)) (i : Fin (n + 2)) :
FiniteDimensional ℝ (s.altitude i).direction := by
rw [direction_altitude]
infer_instance
#align affine.simplex.finite_dimensional_direction_altitude Affine.Simplex.finiteDimensional_direction_altitude
@[simp]
| Mathlib/Geometry/Euclidean/MongePoint.lean | 379 | 387 | theorem finrank_direction_altitude {n : ℕ} (s : Simplex ℝ P (n + 1)) (i : Fin (n + 2)) :
finrank ℝ (s.altitude i).direction = 1 := by |
rw [direction_altitude]
have h := Submodule.finrank_add_inf_finrank_orthogonal
(vectorSpan_mono ℝ (Set.image_subset_range s.points ↑(univ.erase i)))
have hc : card (univ.erase i) = n + 1 := by rw [card_erase_of_mem (mem_univ _)]; simp
refine add_left_cancel (_root_.trans h ?_)
rw [s.independent.finrank_vectorSpan (Fintype.card_fin _), ← Finset.coe_image,
s.independent.finrank_vectorSpan_image_finset hc]
|
import Mathlib.Algebra.Polynomial.BigOperators
import Mathlib.Algebra.Polynomial.Derivative
import Mathlib.Data.Nat.Choose.Cast
import Mathlib.Data.Nat.Choose.Vandermonde
import Mathlib.Tactic.FieldSimp
#align_import data.polynomial.hasse_deriv from "leanprover-community/mathlib"@"a148d797a1094ab554ad4183a4ad6f130358ef64"
noncomputable section
namespace Polynomial
open Nat Polynomial
open Function
variable {R : Type*} [Semiring R] (k : ℕ) (f : R[X])
def hasseDeriv (k : ℕ) : R[X] →ₗ[R] R[X] :=
lsum fun i => monomial (i - k) ∘ₗ DistribMulAction.toLinearMap R R (i.choose k)
#align polynomial.hasse_deriv Polynomial.hasseDeriv
theorem hasseDeriv_apply :
hasseDeriv k f = f.sum fun i r => monomial (i - k) (↑(i.choose k) * r) := by
dsimp [hasseDeriv]
congr; ext; congr
apply nsmul_eq_mul
#align polynomial.hasse_deriv_apply Polynomial.hasseDeriv_apply
theorem hasseDeriv_coeff (n : ℕ) :
(hasseDeriv k f).coeff n = (n + k).choose k * f.coeff (n + k) := by
rw [hasseDeriv_apply, coeff_sum, sum_def, Finset.sum_eq_single (n + k), coeff_monomial]
· simp only [if_true, add_tsub_cancel_right, eq_self_iff_true]
· intro i _hi hink
rw [coeff_monomial]
by_cases hik : i < k
· simp only [Nat.choose_eq_zero_of_lt hik, ite_self, Nat.cast_zero, zero_mul]
· push_neg at hik
rw [if_neg]
contrapose! hink
exact (tsub_eq_iff_eq_add_of_le hik).mp hink
· intro h
simp only [not_mem_support_iff.mp h, monomial_zero_right, mul_zero, coeff_zero]
#align polynomial.hasse_deriv_coeff Polynomial.hasseDeriv_coeff
theorem hasseDeriv_zero' : hasseDeriv 0 f = f := by
simp only [hasseDeriv_apply, tsub_zero, Nat.choose_zero_right, Nat.cast_one, one_mul,
sum_monomial_eq]
#align polynomial.hasse_deriv_zero' Polynomial.hasseDeriv_zero'
@[simp]
theorem hasseDeriv_zero : @hasseDeriv R _ 0 = LinearMap.id :=
LinearMap.ext <| hasseDeriv_zero'
#align polynomial.hasse_deriv_zero Polynomial.hasseDeriv_zero
theorem hasseDeriv_eq_zero_of_lt_natDegree (p : R[X]) (n : ℕ) (h : p.natDegree < n) :
hasseDeriv n p = 0 := by
rw [hasseDeriv_apply, sum_def]
refine Finset.sum_eq_zero fun x hx => ?_
simp [Nat.choose_eq_zero_of_lt ((le_natDegree_of_mem_supp _ hx).trans_lt h)]
#align polynomial.hasse_deriv_eq_zero_of_lt_nat_degree Polynomial.hasseDeriv_eq_zero_of_lt_natDegree
theorem hasseDeriv_one' : hasseDeriv 1 f = derivative f := by
simp only [hasseDeriv_apply, derivative_apply, ← C_mul_X_pow_eq_monomial, Nat.choose_one_right,
(Nat.cast_commute _ _).eq]
#align polynomial.hasse_deriv_one' Polynomial.hasseDeriv_one'
@[simp]
theorem hasseDeriv_one : @hasseDeriv R _ 1 = derivative :=
LinearMap.ext <| hasseDeriv_one'
#align polynomial.hasse_deriv_one Polynomial.hasseDeriv_one
@[simp]
theorem hasseDeriv_monomial (n : ℕ) (r : R) :
hasseDeriv k (monomial n r) = monomial (n - k) (↑(n.choose k) * r) := by
ext i
simp only [hasseDeriv_coeff, coeff_monomial]
by_cases hnik : n = i + k
· rw [if_pos hnik, if_pos, ← hnik]
apply tsub_eq_of_eq_add_rev
rwa [add_comm]
· rw [if_neg hnik, mul_zero]
by_cases hkn : k ≤ n
· rw [← tsub_eq_iff_eq_add_of_le hkn] at hnik
rw [if_neg hnik]
· push_neg at hkn
rw [Nat.choose_eq_zero_of_lt hkn, Nat.cast_zero, zero_mul, ite_self]
#align polynomial.hasse_deriv_monomial Polynomial.hasseDeriv_monomial
theorem hasseDeriv_C (r : R) (hk : 0 < k) : hasseDeriv k (C r) = 0 := by
rw [← monomial_zero_left, hasseDeriv_monomial, Nat.choose_eq_zero_of_lt hk, Nat.cast_zero,
zero_mul, monomial_zero_right]
set_option linter.uppercaseLean3 false in
#align polynomial.hasse_deriv_C Polynomial.hasseDeriv_C
theorem hasseDeriv_apply_one (hk : 0 < k) : hasseDeriv k (1 : R[X]) = 0 := by
rw [← C_1, hasseDeriv_C k _ hk]
#align polynomial.hasse_deriv_apply_one Polynomial.hasseDeriv_apply_one
| Mathlib/Algebra/Polynomial/HasseDeriv.lean | 137 | 139 | theorem hasseDeriv_X (hk : 1 < k) : hasseDeriv k (X : R[X]) = 0 := by |
rw [← monomial_one_one_eq_X, hasseDeriv_monomial, Nat.choose_eq_zero_of_lt hk, Nat.cast_zero,
zero_mul, monomial_zero_right]
|
import Mathlib.Tactic.NormNum.Basic
import Mathlib.Data.Rat.Cast.CharZero
import Mathlib.Algebra.Field.Basic
set_option autoImplicit true
namespace Mathlib.Meta.NormNum
open Lean.Meta Qq
def inferCharZeroOfRing {α : Q(Type u)} (_i : Q(Ring $α) := by with_reducible assumption) :
MetaM Q(CharZero $α) :=
return ← synthInstanceQ (q(CharZero $α) : Q(Prop)) <|>
throwError "not a characteristic zero ring"
def inferCharZeroOfRing? {α : Q(Type u)} (_i : Q(Ring $α) := by with_reducible assumption) :
MetaM (Option Q(CharZero $α)) :=
return (← trySynthInstanceQ (q(CharZero $α) : Q(Prop))).toOption
def inferCharZeroOfAddMonoidWithOne {α : Q(Type u)}
(_i : Q(AddMonoidWithOne $α) := by with_reducible assumption) : MetaM Q(CharZero $α) :=
return ← synthInstanceQ (q(CharZero $α) : Q(Prop)) <|>
throwError "not a characteristic zero AddMonoidWithOne"
def inferCharZeroOfAddMonoidWithOne? {α : Q(Type u)}
(_i : Q(AddMonoidWithOne $α) := by with_reducible assumption) :
MetaM (Option Q(CharZero $α)) :=
return (← trySynthInstanceQ (q(CharZero $α) : Q(Prop))).toOption
def inferCharZeroOfDivisionRing {α : Q(Type u)}
(_i : Q(DivisionRing $α) := by with_reducible assumption) : MetaM Q(CharZero $α) :=
return ← synthInstanceQ (q(CharZero $α) : Q(Prop)) <|>
throwError "not a characteristic zero division ring"
def inferCharZeroOfDivisionRing? {α : Q(Type u)}
(_i : Q(DivisionRing $α) := by with_reducible assumption) : MetaM (Option Q(CharZero $α)) :=
return (← trySynthInstanceQ (q(CharZero $α) : Q(Prop))).toOption
theorem isRat_mkRat : {a na n : ℤ} → {b nb d : ℕ} → IsInt a na → IsNat b nb →
IsRat (na / nb : ℚ) n d → IsRat (mkRat a b) n d
| _, _, _, _, _, _, ⟨rfl⟩, ⟨rfl⟩, ⟨_, h⟩ => by rw [Rat.mkRat_eq_div]; exact ⟨_, h⟩
@[norm_num mkRat _ _]
def evalMkRat : NormNumExt where eval {u α} (e : Q(ℚ)) : MetaM (Result e) := do
let .app (.app (.const ``mkRat _) (a : Q(ℤ))) (b : Q(ℕ)) ← whnfR e | failure
haveI' : $e =Q mkRat $a $b := ⟨⟩
let ra ← derive a
let some ⟨_, na, pa⟩ := ra.toInt (q(Int.instRing) : Q(Ring Int)) | failure
let ⟨nb, pb⟩ ← deriveNat q($b) q(AddCommMonoidWithOne.toAddMonoidWithOne)
let rab ← derive q($na / $nb : Rat)
let ⟨q, n, d, p⟩ ← rab.toRat' q(Rat.instDivisionRing)
return .isRat' _ q n d q(isRat_mkRat $pa $pb $p)
theorem isNat_ratCast [DivisionRing R] : {q : ℚ} → {n : ℕ} →
IsNat q n → IsNat (q : R) n
| _, _, ⟨rfl⟩ => ⟨by simp⟩
theorem isInt_ratCast [DivisionRing R] : {q : ℚ} → {n : ℤ} →
IsInt q n → IsInt (q : R) n
| _, _, ⟨rfl⟩ => ⟨by simp⟩
theorem isRat_ratCast [DivisionRing R] [CharZero R] : {q : ℚ} → {n : ℤ} → {d : ℕ} →
IsRat q n d → IsRat (q : R) n d
| _, _, _, ⟨⟨qi,_,_⟩, rfl⟩ => ⟨⟨qi, by norm_cast, by norm_cast⟩, by simp only []; norm_cast⟩
@[norm_num Rat.cast _, RatCast.ratCast _] def evalRatCast : NormNumExt where eval {u α} e := do
let dα ← inferDivisionRing α
let .app r (a : Q(ℚ)) ← whnfR e | failure
guard <|← withNewMCtxDepth <| isDefEq r q(Rat.cast (K := $α))
let r ← derive q($a)
haveI' : $e =Q Rat.cast $a := ⟨⟩
match r with
| .isNat _ na pa =>
assumeInstancesCommute
return .isNat _ na q(isNat_ratCast $pa)
| .isNegNat _ na pa =>
assumeInstancesCommute
return .isNegNat _ na q(isInt_ratCast $pa)
| .isRat _ qa na da pa =>
assumeInstancesCommute
let i ← inferCharZeroOfDivisionRing dα
return .isRat dα qa na da q(isRat_ratCast $pa)
| _ => failure
| Mathlib/Tactic/NormNum/Inv.lean | 106 | 110 | theorem isRat_inv_pos {α} [DivisionRing α] [CharZero α] {a : α} {n d : ℕ} :
IsRat a (.ofNat (Nat.succ n)) d → IsRat a⁻¹ (.ofNat d) (Nat.succ n) := by |
rintro ⟨_, rfl⟩
have := invertibleOfNonzero (α := α) (Nat.cast_ne_zero.2 (Nat.succ_ne_zero n))
exact ⟨this, by simp⟩
|
import Mathlib.CategoryTheory.Adjunction.Unique
import Mathlib.CategoryTheory.Adjunction.FullyFaithful
import Mathlib.CategoryTheory.Sites.Sheaf
import Mathlib.CategoryTheory.Limits.Preserves.Finite
universe v₁ v₂ u₁ u₂
namespace CategoryTheory
open Limits
variable {C : Type u₁} [Category.{v₁} C] (J : GrothendieckTopology C)
variable (A : Type u₂) [Category.{v₂} A]
abbrev HasWeakSheafify : Prop := (sheafToPresheaf J A).IsRightAdjoint
class HasSheafify : Prop where
isRightAdjoint : HasWeakSheafify J A
isLeftExact : Nonempty (PreservesFiniteLimits ((sheafToPresheaf J A).leftAdjoint))
instance [HasSheafify J A] : HasWeakSheafify J A := HasSheafify.isRightAdjoint
noncomputable section
instance [HasSheafify J A] : PreservesFiniteLimits ((sheafToPresheaf J A).leftAdjoint) :=
HasSheafify.isLeftExact.some
theorem HasSheafify.mk' {F : (Cᵒᵖ ⥤ A) ⥤ Sheaf J A} (adj : F ⊣ sheafToPresheaf J A)
[PreservesFiniteLimits F] : HasSheafify J A where
isRightAdjoint := ⟨F, ⟨adj⟩⟩
isLeftExact := ⟨by
have : (sheafToPresheaf J A).IsRightAdjoint := ⟨_, ⟨adj⟩⟩
exact ⟨fun _ _ _ ↦ preservesLimitsOfShapeOfNatIso
(adj.leftAdjointUniq (Adjunction.ofIsRightAdjoint (sheafToPresheaf J A)))⟩⟩
def presheafToSheaf [HasWeakSheafify J A] : (Cᵒᵖ ⥤ A) ⥤ Sheaf J A :=
(sheafToPresheaf J A).leftAdjoint
instance [HasSheafify J A] : PreservesFiniteLimits (presheafToSheaf J A) :=
HasSheafify.isLeftExact.some
def sheafificationAdjunction [HasWeakSheafify J A] :
presheafToSheaf J A ⊣ sheafToPresheaf J A := Adjunction.ofIsRightAdjoint _
instance [HasWeakSheafify J A] : (presheafToSheaf J A).IsLeftAdjoint :=
⟨_, ⟨sheafificationAdjunction J A⟩⟩
end
variable {D : Type*} [Category D] [HasWeakSheafify J D]
noncomputable abbrev sheafify (P : Cᵒᵖ ⥤ D) : Cᵒᵖ ⥤ D :=
presheafToSheaf J D |>.obj P |>.val
noncomputable abbrev toSheafify (P : Cᵒᵖ ⥤ D) : P ⟶ sheafify J P :=
sheafificationAdjunction J D |>.unit.app P
@[simp]
theorem sheafificationAdjunction_unit_app (P : Cᵒᵖ ⥤ D) :
(sheafificationAdjunction J D).unit.app P = toSheafify J P := rfl
noncomputable abbrev sheafifyMap {P Q : Cᵒᵖ ⥤ D} (η : P ⟶ Q) : sheafify J P ⟶ sheafify J Q :=
presheafToSheaf J D |>.map η |>.val
@[simp]
theorem sheafifyMap_id (P : Cᵒᵖ ⥤ D) : sheafifyMap J (𝟙 P) = 𝟙 (sheafify J P) := by
simp [sheafifyMap, sheafify]
@[simp]
theorem sheafifyMap_comp {P Q R : Cᵒᵖ ⥤ D} (η : P ⟶ Q) (γ : Q ⟶ R) :
sheafifyMap J (η ≫ γ) = sheafifyMap J η ≫ sheafifyMap J γ := by
simp [sheafifyMap, sheafify]
@[reassoc (attr := simp)]
theorem toSheafify_naturality {P Q : Cᵒᵖ ⥤ D} (η : P ⟶ Q) :
η ≫ toSheafify J _ = toSheafify J _ ≫ sheafifyMap J η :=
sheafificationAdjunction J D |>.unit.naturality η
variable (D)
noncomputable abbrev sheafification : (Cᵒᵖ ⥤ D) ⥤ Cᵒᵖ ⥤ D :=
presheafToSheaf J D ⋙ sheafToPresheaf J D
theorem sheafification_obj (P : Cᵒᵖ ⥤ D) : (sheafification J D).obj P = sheafify J P :=
rfl
theorem sheafification_map {P Q : Cᵒᵖ ⥤ D} (η : P ⟶ Q) :
(sheafification J D).map η = sheafifyMap J η :=
rfl
noncomputable abbrev toSheafification : 𝟭 _ ⟶ sheafification J D :=
sheafificationAdjunction J D |>.unit
theorem toSheafification_app (P : Cᵒᵖ ⥤ D) : (toSheafification J D).app P = toSheafify J P :=
rfl
variable {D}
theorem isIso_toSheafify {P : Cᵒᵖ ⥤ D} (hP : Presheaf.IsSheaf J P) : IsIso (toSheafify J P) := by
refine ⟨(sheafificationAdjunction J D |>.counit.app ⟨P, hP⟩).val, ?_, ?_⟩
· change _ = (𝟙 (sheafToPresheaf J D ⋙ 𝟭 (Cᵒᵖ ⥤ D)) : _).app ⟨P, hP⟩
rw [← sheafificationAdjunction J D |>.right_triangle]
rfl
· change (sheafToPresheaf _ _).map _ ≫ _ = _
change _ ≫ (sheafificationAdjunction J D).unit.app ((sheafToPresheaf J D).obj ⟨P, hP⟩) = _
erw [← (sheafificationAdjunction J D).inv_counit_map (X := ⟨P, hP⟩), comp_inv_eq_id]
noncomputable def isoSheafify {P : Cᵒᵖ ⥤ D} (hP : Presheaf.IsSheaf J P) : P ≅ sheafify J P :=
letI := isIso_toSheafify J hP
asIso (toSheafify J P)
@[simp]
theorem isoSheafify_hom {P : Cᵒᵖ ⥤ D} (hP : Presheaf.IsSheaf J P) :
(isoSheafify J hP).hom = toSheafify J P :=
rfl
noncomputable def sheafifyLift {P Q : Cᵒᵖ ⥤ D} (η : P ⟶ Q) (hQ : Presheaf.IsSheaf J Q) :
sheafify J P ⟶ Q :=
(sheafificationAdjunction J D).homEquiv P ⟨Q, hQ⟩ |>.symm η |>.val
@[simp]
theorem sheafificationAdjunction_counit_app_val (P : Sheaf J D) :
((sheafificationAdjunction J D).counit.app P).val = sheafifyLift J (𝟙 P.val) P.cond := by
unfold sheafifyLift
rw [Adjunction.homEquiv_counit]
simp
@[reassoc (attr := simp)]
| Mathlib/CategoryTheory/Sites/Sheafification.lean | 163 | 171 | theorem toSheafify_sheafifyLift {P Q : Cᵒᵖ ⥤ D} (η : P ⟶ Q) (hQ : Presheaf.IsSheaf J Q) :
toSheafify J P ≫ sheafifyLift J η hQ = η := by |
rw [toSheafify, sheafifyLift, Adjunction.homEquiv_counit]
change _ ≫ (sheafToPresheaf J D).map _ ≫ _ = _
simp only [Adjunction.unit_naturality_assoc]
change _ ≫ (sheafificationAdjunction J D).unit.app ((sheafToPresheaf J D).obj ⟨Q, hQ⟩) ≫ _ = _
change _ ≫ _ ≫ (sheafToPresheaf J D).map _ = _
rw [sheafificationAdjunction J D |>.right_triangle_components (Y := ⟨Q, hQ⟩)]
simp
|
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
| Mathlib/MeasureTheory/Function/L1Space.lean | 633 | 637 | 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
|
import Mathlib.Algebra.Order.Group.Nat
import Mathlib.Data.List.Rotate
import Mathlib.GroupTheory.Perm.Support
#align_import group_theory.perm.list from "leanprover-community/mathlib"@"9003f28797c0664a49e4179487267c494477d853"
namespace List
variable {α β : Type*}
section FormPerm
variable [DecidableEq α] (l : List α)
open Equiv Equiv.Perm
def formPerm : Equiv.Perm α :=
(zipWith Equiv.swap l l.tail).prod
#align list.form_perm List.formPerm
@[simp]
theorem formPerm_nil : formPerm ([] : List α) = 1 :=
rfl
#align list.form_perm_nil List.formPerm_nil
@[simp]
theorem formPerm_singleton (x : α) : formPerm [x] = 1 :=
rfl
#align list.form_perm_singleton List.formPerm_singleton
@[simp]
theorem formPerm_cons_cons (x y : α) (l : List α) :
formPerm (x :: y :: l) = swap x y * formPerm (y :: l) :=
prod_cons
#align list.form_perm_cons_cons List.formPerm_cons_cons
theorem formPerm_pair (x y : α) : formPerm [x, y] = swap x y :=
rfl
#align list.form_perm_pair List.formPerm_pair
theorem mem_or_mem_of_zipWith_swap_prod_ne : ∀ {l l' : List α} {x : α},
(zipWith swap l l').prod x ≠ x → x ∈ l ∨ x ∈ l'
| [], _, _ => by simp
| _, [], _ => by simp
| a::l, b::l', x => fun hx ↦
if h : (zipWith swap l l').prod x = x then
(eq_or_eq_of_swap_apply_ne_self (by simpa [h] using hx)).imp
(by rintro rfl; exact .head _) (by rintro rfl; exact .head _)
else
(mem_or_mem_of_zipWith_swap_prod_ne h).imp (.tail _) (.tail _)
theorem zipWith_swap_prod_support' (l l' : List α) :
{ x | (zipWith swap l l').prod x ≠ x } ≤ l.toFinset ⊔ l'.toFinset := fun _ h ↦ by
simpa using mem_or_mem_of_zipWith_swap_prod_ne h
#align list.zip_with_swap_prod_support' List.zipWith_swap_prod_support'
theorem zipWith_swap_prod_support [Fintype α] (l l' : List α) :
(zipWith swap l l').prod.support ≤ l.toFinset ⊔ l'.toFinset := by
intro x hx
have hx' : x ∈ { x | (zipWith swap l l').prod x ≠ x } := by simpa using hx
simpa using zipWith_swap_prod_support' _ _ hx'
#align list.zip_with_swap_prod_support List.zipWith_swap_prod_support
theorem support_formPerm_le' : { x | formPerm l x ≠ x } ≤ l.toFinset := by
refine (zipWith_swap_prod_support' l l.tail).trans ?_
simpa [Finset.subset_iff] using tail_subset l
#align list.support_form_perm_le' List.support_formPerm_le'
theorem support_formPerm_le [Fintype α] : support (formPerm l) ≤ l.toFinset := by
intro x hx
have hx' : x ∈ { x | formPerm l x ≠ x } := by simpa using hx
simpa using support_formPerm_le' _ hx'
#align list.support_form_perm_le List.support_formPerm_le
variable {l} {x : α}
theorem mem_of_formPerm_apply_ne (h : l.formPerm x ≠ x) : x ∈ l := by
simpa [or_iff_left_of_imp mem_of_mem_tail] using mem_or_mem_of_zipWith_swap_prod_ne h
#align list.mem_of_form_perm_apply_ne List.mem_of_formPerm_apply_ne
theorem formPerm_apply_of_not_mem (h : x ∉ l) : formPerm l x = x :=
not_imp_comm.1 mem_of_formPerm_apply_ne h
#align list.form_perm_apply_of_not_mem List.formPerm_apply_of_not_mem
theorem formPerm_apply_mem_of_mem (h : x ∈ l) : formPerm l x ∈ l := by
cases' l with y l
· simp at h
induction' l with z l IH generalizing x y
· simpa using h
· by_cases hx : x ∈ z :: l
· rw [formPerm_cons_cons, mul_apply, swap_apply_def]
split_ifs
· simp [IH _ hx]
· simp
· simp [*]
· replace h : x = y := Or.resolve_right (mem_cons.1 h) hx
simp [formPerm_apply_of_not_mem hx, ← h]
#align list.form_perm_apply_mem_of_mem List.formPerm_apply_mem_of_mem
theorem mem_of_formPerm_apply_mem (h : l.formPerm x ∈ l) : x ∈ l := by
contrapose h
rwa [formPerm_apply_of_not_mem h]
#align list.mem_of_form_perm_apply_mem List.mem_of_formPerm_apply_mem
@[simp]
theorem formPerm_mem_iff_mem : l.formPerm x ∈ l ↔ x ∈ l :=
⟨l.mem_of_formPerm_apply_mem, l.formPerm_apply_mem_of_mem⟩
#align list.form_perm_mem_iff_mem List.formPerm_mem_iff_mem
@[simp]
| Mathlib/GroupTheory/Perm/List.lean | 142 | 146 | theorem formPerm_cons_concat_apply_last (x y : α) (xs : List α) :
formPerm (x :: (xs ++ [y])) y = x := by |
induction' xs with z xs IH generalizing x y
· simp
· simp [IH]
|
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
| Mathlib/Topology/Basic.lean | 353 | 355 | 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]
|
import Mathlib.Data.Nat.Count
import Mathlib.Data.Nat.SuccPred
import Mathlib.Order.Interval.Set.Monotone
import Mathlib.Order.OrderIsoNat
#align_import data.nat.nth from "leanprover-community/mathlib"@"7fdd4f3746cb059edfdb5d52cba98f66fce418c0"
open Finset
namespace Nat
variable (p : ℕ → Prop)
noncomputable def nth (p : ℕ → Prop) (n : ℕ) : ℕ := by
classical exact
if h : Set.Finite (setOf p) then (h.toFinset.sort (· ≤ ·)).getD n 0
else @Nat.Subtype.orderIsoOfNat (setOf p) (Set.Infinite.to_subtype h) n
#align nat.nth Nat.nth
variable {p}
theorem nth_of_card_le (hf : (setOf p).Finite) {n : ℕ} (hn : hf.toFinset.card ≤ n) :
nth p n = 0 := by rw [nth, dif_pos hf, List.getD_eq_default]; rwa [Finset.length_sort]
#align nat.nth_of_card_le Nat.nth_of_card_le
theorem nth_eq_getD_sort (h : (setOf p).Finite) (n : ℕ) :
nth p n = (h.toFinset.sort (· ≤ ·)).getD n 0 :=
dif_pos h
#align nat.nth_eq_nthd_sort Nat.nth_eq_getD_sort
theorem nth_eq_orderEmbOfFin (hf : (setOf p).Finite) {n : ℕ} (hn : n < hf.toFinset.card) :
nth p n = hf.toFinset.orderEmbOfFin rfl ⟨n, hn⟩ := by
rw [nth_eq_getD_sort hf, Finset.orderEmbOfFin_apply, List.getD_eq_get]
#align nat.nth_eq_order_emb_of_fin Nat.nth_eq_orderEmbOfFin
theorem nth_strictMonoOn (hf : (setOf p).Finite) :
StrictMonoOn (nth p) (Set.Iio hf.toFinset.card) := by
rintro m (hm : m < _) n (hn : n < _) h
simp only [nth_eq_orderEmbOfFin, *]
exact OrderEmbedding.strictMono _ h
#align nat.nth_strict_mono_on Nat.nth_strictMonoOn
theorem nth_lt_nth_of_lt_card (hf : (setOf p).Finite) {m n : ℕ} (h : m < n)
(hn : n < hf.toFinset.card) : nth p m < nth p n :=
nth_strictMonoOn hf (h.trans hn) hn h
#align nat.nth_lt_nth_of_lt_card Nat.nth_lt_nth_of_lt_card
theorem nth_le_nth_of_lt_card (hf : (setOf p).Finite) {m n : ℕ} (h : m ≤ n)
(hn : n < hf.toFinset.card) : nth p m ≤ nth p n :=
(nth_strictMonoOn hf).monotoneOn (h.trans_lt hn) hn h
#align nat.nth_le_nth_of_lt_card Nat.nth_le_nth_of_lt_card
theorem lt_of_nth_lt_nth_of_lt_card (hf : (setOf p).Finite) {m n : ℕ} (h : nth p m < nth p n)
(hm : m < hf.toFinset.card) : m < n :=
not_le.1 fun hle => h.not_le <| nth_le_nth_of_lt_card hf hle hm
#align nat.lt_of_nth_lt_nth_of_lt_card Nat.lt_of_nth_lt_nth_of_lt_card
theorem le_of_nth_le_nth_of_lt_card (hf : (setOf p).Finite) {m n : ℕ} (h : nth p m ≤ nth p n)
(hm : m < hf.toFinset.card) : m ≤ n :=
not_lt.1 fun hlt => h.not_lt <| nth_lt_nth_of_lt_card hf hlt hm
#align nat.le_of_nth_le_nth_of_lt_card Nat.le_of_nth_le_nth_of_lt_card
theorem nth_injOn (hf : (setOf p).Finite) : (Set.Iio hf.toFinset.card).InjOn (nth p) :=
(nth_strictMonoOn hf).injOn
#align nat.nth_inj_on Nat.nth_injOn
theorem range_nth_of_finite (hf : (setOf p).Finite) : Set.range (nth p) = insert 0 (setOf p) := by
simpa only [← nth_eq_getD_sort hf, mem_sort, Set.Finite.mem_toFinset]
using Set.range_list_getD (hf.toFinset.sort (· ≤ ·)) 0
#align nat.range_nth_of_finite Nat.range_nth_of_finite
@[simp]
theorem image_nth_Iio_card (hf : (setOf p).Finite) : nth p '' Set.Iio hf.toFinset.card = setOf p :=
calc
nth p '' Set.Iio hf.toFinset.card = Set.range (hf.toFinset.orderEmbOfFin rfl) := by
ext x
simp only [Set.mem_image, Set.mem_range, Fin.exists_iff, ← nth_eq_orderEmbOfFin hf,
Set.mem_Iio, exists_prop]
_ = setOf p := by rw [range_orderEmbOfFin, Set.Finite.coe_toFinset]
#align nat.image_nth_Iio_card Nat.image_nth_Iio_card
theorem nth_mem_of_lt_card {n : ℕ} (hf : (setOf p).Finite) (hlt : n < hf.toFinset.card) :
p (nth p n) :=
(image_nth_Iio_card hf).subset <| Set.mem_image_of_mem _ hlt
#align nat.nth_mem_of_lt_card Nat.nth_mem_of_lt_card
theorem exists_lt_card_finite_nth_eq (hf : (setOf p).Finite) {x} (h : p x) :
∃ n, n < hf.toFinset.card ∧ nth p n = x := by
rwa [← @Set.mem_setOf_eq _ _ p, ← image_nth_Iio_card hf] at h
#align nat.exists_lt_card_finite_nth_eq Nat.exists_lt_card_finite_nth_eq
theorem nth_apply_eq_orderIsoOfNat (hf : (setOf p).Infinite) (n : ℕ) :
nth p n = @Nat.Subtype.orderIsoOfNat (setOf p) hf.to_subtype n := by rw [nth, dif_neg hf]
#align nat.nth_apply_eq_order_iso_of_nat Nat.nth_apply_eq_orderIsoOfNat
theorem nth_eq_orderIsoOfNat (hf : (setOf p).Infinite) :
nth p = (↑) ∘ @Nat.Subtype.orderIsoOfNat (setOf p) hf.to_subtype :=
funext <| nth_apply_eq_orderIsoOfNat hf
#align nat.nth_eq_order_iso_of_nat Nat.nth_eq_orderIsoOfNat
theorem nth_strictMono (hf : (setOf p).Infinite) : StrictMono (nth p) := by
rw [nth_eq_orderIsoOfNat hf]
exact (Subtype.strictMono_coe _).comp (OrderIso.strictMono _)
#align nat.nth_strict_mono Nat.nth_strictMono
theorem nth_injective (hf : (setOf p).Infinite) : Function.Injective (nth p) :=
(nth_strictMono hf).injective
#align nat.nth_injective Nat.nth_injective
theorem nth_monotone (hf : (setOf p).Infinite) : Monotone (nth p) :=
(nth_strictMono hf).monotone
#align nat.nth_monotone Nat.nth_monotone
theorem nth_lt_nth (hf : (setOf p).Infinite) {k n} : nth p k < nth p n ↔ k < n :=
(nth_strictMono hf).lt_iff_lt
#align nat.nth_lt_nth Nat.nth_lt_nth
theorem nth_le_nth (hf : (setOf p).Infinite) {k n} : nth p k ≤ nth p n ↔ k ≤ n :=
(nth_strictMono hf).le_iff_le
#align nat.nth_le_nth Nat.nth_le_nth
theorem range_nth_of_infinite (hf : (setOf p).Infinite) : Set.range (nth p) = setOf p := by
rw [nth_eq_orderIsoOfNat hf]
haveI := hf.to_subtype
-- Porting note: added `classical`; probably, Lean 3 found instance by unification
classical exact Nat.Subtype.coe_comp_ofNat_range
#align nat.range_nth_of_infinite Nat.range_nth_of_infinite
theorem nth_mem_of_infinite (hf : (setOf p).Infinite) (n : ℕ) : p (nth p n) :=
Set.range_subset_iff.1 (range_nth_of_infinite hf).le n
#align nat.nth_mem_of_infinite Nat.nth_mem_of_infinite
theorem exists_lt_card_nth_eq {x} (h : p x) :
∃ n, (∀ hf : (setOf p).Finite, n < hf.toFinset.card) ∧ nth p n = x := by
refine (setOf p).finite_or_infinite.elim (fun hf => ?_) fun hf => ?_
· rcases exists_lt_card_finite_nth_eq hf h with ⟨n, hn, hx⟩
exact ⟨n, fun _ => hn, hx⟩
· rw [← @Set.mem_setOf_eq _ _ p, ← range_nth_of_infinite hf] at h
rcases h with ⟨n, hx⟩
exact ⟨n, fun hf' => absurd hf' hf, hx⟩
#align nat.exists_lt_card_nth_eq Nat.exists_lt_card_nth_eq
theorem subset_range_nth : setOf p ⊆ Set.range (nth p) := fun x (hx : p x) =>
let ⟨n, _, hn⟩ := exists_lt_card_nth_eq hx
⟨n, hn⟩
#align nat.subset_range_nth Nat.subset_range_nth
theorem range_nth_subset : Set.range (nth p) ⊆ insert 0 (setOf p) :=
(setOf p).finite_or_infinite.elim (fun h => (range_nth_of_finite h).subset) fun h =>
(range_nth_of_infinite h).trans_subset (Set.subset_insert _ _)
#align nat.range_nth_subset Nat.range_nth_subset
theorem nth_mem (n : ℕ) (h : ∀ hf : (setOf p).Finite, n < hf.toFinset.card) : p (nth p n) :=
(setOf p).finite_or_infinite.elim (fun hf => nth_mem_of_lt_card hf (h hf)) fun h =>
nth_mem_of_infinite h n
#align nat.nth_mem Nat.nth_mem
theorem nth_lt_nth' {m n : ℕ} (hlt : m < n) (h : ∀ hf : (setOf p).Finite, n < hf.toFinset.card) :
nth p m < nth p n :=
(setOf p).finite_or_infinite.elim (fun hf => nth_lt_nth_of_lt_card hf hlt (h _)) fun hf =>
(nth_lt_nth hf).2 hlt
#align nat.nth_lt_nth' Nat.nth_lt_nth'
theorem nth_le_nth' {m n : ℕ} (hle : m ≤ n) (h : ∀ hf : (setOf p).Finite, n < hf.toFinset.card) :
nth p m ≤ nth p n :=
(setOf p).finite_or_infinite.elim (fun hf => nth_le_nth_of_lt_card hf hle (h _)) fun hf =>
(nth_le_nth hf).2 hle
#align nat.nth_le_nth' Nat.nth_le_nth'
theorem le_nth {n : ℕ} (h : ∀ hf : (setOf p).Finite, n < hf.toFinset.card) : n ≤ nth p n :=
(setOf p).finite_or_infinite.elim
(fun hf => ((nth_strictMonoOn hf).mono <| Set.Iic_subset_Iio.2 (h _)).Iic_id_le _ le_rfl)
fun hf => (nth_strictMono hf).id_le _
#align nat.le_nth Nat.le_nth
theorem isLeast_nth {n} (h : ∀ hf : (setOf p).Finite, n < hf.toFinset.card) :
IsLeast {i | p i ∧ ∀ k < n, nth p k < i} (nth p n) :=
⟨⟨nth_mem n h, fun _k hk => nth_lt_nth' hk h⟩, fun _x hx =>
let ⟨k, hk, hkx⟩ := exists_lt_card_nth_eq hx.1
(lt_or_le k n).elim (fun hlt => absurd hkx (hx.2 _ hlt).ne) fun hle => hkx ▸ nth_le_nth' hle hk⟩
#align nat.is_least_nth Nat.isLeast_nth
theorem isLeast_nth_of_lt_card {n : ℕ} (hf : (setOf p).Finite) (hn : n < hf.toFinset.card) :
IsLeast {i | p i ∧ ∀ k < n, nth p k < i} (nth p n) :=
isLeast_nth fun _ => hn
#align nat.is_least_nth_of_lt_card Nat.isLeast_nth_of_lt_card
theorem isLeast_nth_of_infinite (hf : (setOf p).Infinite) (n : ℕ) :
IsLeast {i | p i ∧ ∀ k < n, nth p k < i} (nth p n) :=
isLeast_nth fun h => absurd h hf
#align nat.is_least_nth_of_infinite Nat.isLeast_nth_of_infinite
theorem nth_eq_sInf (p : ℕ → Prop) (n : ℕ) : nth p n = sInf {x | p x ∧ ∀ k < n, nth p k < x} := by
by_cases hn : ∀ hf : (setOf p).Finite, n < hf.toFinset.card
· exact (isLeast_nth hn).csInf_eq.symm
· push_neg at hn
rcases hn with ⟨hf, hn⟩
rw [nth_of_card_le _ hn]
refine ((congr_arg sInf <| Set.eq_empty_of_forall_not_mem fun k hk => ?_).trans sInf_empty).symm
rcases exists_lt_card_nth_eq hk.1 with ⟨k, hlt, rfl⟩
exact (hk.2 _ ((hlt hf).trans_le hn)).false
#align nat.nth_eq_Inf Nat.nth_eq_sInf
theorem nth_zero : nth p 0 = sInf (setOf p) := by rw [nth_eq_sInf]; simp
#align nat.nth_zero Nat.nth_zero
@[simp]
theorem nth_zero_of_zero (h : p 0) : nth p 0 = 0 := by simp [nth_zero, h]
#align nat.nth_zero_of_zero Nat.nth_zero_of_zero
theorem nth_zero_of_exists [DecidablePred p] (h : ∃ n, p n) : nth p 0 = Nat.find h := by
rw [nth_zero]; convert Nat.sInf_def h
#align nat.nth_zero_of_exists Nat.nth_zero_of_exists
theorem nth_eq_zero {n} :
nth p n = 0 ↔ p 0 ∧ n = 0 ∨ ∃ hf : (setOf p).Finite, hf.toFinset.card ≤ n := by
refine ⟨fun h => ?_, ?_⟩
· simp only [or_iff_not_imp_right, not_exists, not_le]
exact fun hn => ⟨h ▸ nth_mem _ hn, nonpos_iff_eq_zero.1 <| h ▸ le_nth hn⟩
· rintro (⟨h₀, rfl⟩ | ⟨hf, hle⟩)
exacts [nth_zero_of_zero h₀, nth_of_card_le hf hle]
#align nat.nth_eq_zero Nat.nth_eq_zero
theorem nth_eq_zero_mono (h₀ : ¬p 0) {a b : ℕ} (hab : a ≤ b) (ha : nth p a = 0) : nth p b = 0 := by
simp only [nth_eq_zero, h₀, false_and_iff, false_or_iff] at ha ⊢
exact ha.imp fun hf hle => hle.trans hab
#align nat.nth_eq_zero_mono Nat.nth_eq_zero_mono
theorem le_nth_of_lt_nth_succ {k a : ℕ} (h : a < nth p (k + 1)) (ha : p a) : a ≤ nth p k := by
cases' (setOf p).finite_or_infinite with hf hf
· rcases exists_lt_card_finite_nth_eq hf ha with ⟨n, hn, rfl⟩
cases' lt_or_le (k + 1) hf.toFinset.card with hk hk
· rwa [(nth_strictMonoOn hf).lt_iff_lt hn hk, Nat.lt_succ_iff,
← (nth_strictMonoOn hf).le_iff_le hn (k.lt_succ_self.trans hk)] at h
· rw [nth_of_card_le _ hk] at h
exact absurd h (zero_le _).not_lt
· rcases subset_range_nth ha with ⟨n, rfl⟩
rwa [nth_lt_nth hf, Nat.lt_succ_iff, ← nth_le_nth hf] at h
#align nat.le_nth_of_lt_nth_succ Nat.le_nth_of_lt_nth_succ
section Count
variable (p) [DecidablePred p]
@[simp]
theorem count_nth_zero : count p (nth p 0) = 0 := by
rw [count_eq_card_filter_range, card_eq_zero, filter_eq_empty_iff, nth_zero]
exact fun n h₁ h₂ => (mem_range.1 h₁).not_le (Nat.sInf_le h₂)
#align nat.count_nth_zero Nat.count_nth_zero
theorem filter_range_nth_subset_insert (k : ℕ) :
(range (nth p (k + 1))).filter p ⊆ insert (nth p k) ((range (nth p k)).filter p) := by
intro a ha
simp only [mem_insert, mem_filter, mem_range] at ha ⊢
exact (le_nth_of_lt_nth_succ ha.1 ha.2).eq_or_lt.imp_right fun h => ⟨h, ha.2⟩
#align nat.filter_range_nth_subset_insert Nat.filter_range_nth_subset_insert
variable {p}
theorem filter_range_nth_eq_insert {k : ℕ}
(hlt : ∀ hf : (setOf p).Finite, k + 1 < hf.toFinset.card) :
(range (nth p (k + 1))).filter p = insert (nth p k) ((range (nth p k)).filter p) := by
refine (filter_range_nth_subset_insert p k).antisymm fun a ha => ?_
simp only [mem_insert, mem_filter, mem_range] at ha ⊢
have : nth p k < nth p (k + 1) := nth_lt_nth' k.lt_succ_self hlt
rcases ha with (rfl | ⟨hlt, hpa⟩)
· exact ⟨this, nth_mem _ fun hf => k.lt_succ_self.trans (hlt hf)⟩
· exact ⟨hlt.trans this, hpa⟩
#align nat.filter_range_nth_eq_insert Nat.filter_range_nth_eq_insert
theorem filter_range_nth_eq_insert_of_finite (hf : (setOf p).Finite) {k : ℕ}
(hlt : k + 1 < hf.toFinset.card) :
(range (nth p (k + 1))).filter p = insert (nth p k) ((range (nth p k)).filter p) :=
filter_range_nth_eq_insert fun _ => hlt
#align nat.filter_range_nth_eq_insert_of_finite Nat.filter_range_nth_eq_insert_of_finite
theorem filter_range_nth_eq_insert_of_infinite (hp : (setOf p).Infinite) (k : ℕ) :
(range (nth p (k + 1))).filter p = insert (nth p k) ((range (nth p k)).filter p) :=
filter_range_nth_eq_insert fun hf => absurd hf hp
#align nat.filter_range_nth_eq_insert_of_infinite Nat.filter_range_nth_eq_insert_of_infinite
theorem count_nth {n : ℕ} (hn : ∀ hf : (setOf p).Finite, n < hf.toFinset.card) :
count p (nth p n) = n := by
induction' n with k ihk
· exact count_nth_zero _
· rw [count_eq_card_filter_range, filter_range_nth_eq_insert hn, card_insert_of_not_mem, ←
count_eq_card_filter_range, ihk fun hf => lt_of_succ_lt (hn hf)]
simp
#align nat.count_nth Nat.count_nth
theorem count_nth_of_lt_card_finite {n : ℕ} (hp : (setOf p).Finite) (hlt : n < hp.toFinset.card) :
count p (nth p n) = n :=
count_nth fun _ => hlt
#align nat.count_nth_of_lt_card_finite Nat.count_nth_of_lt_card_finite
theorem count_nth_of_infinite (hp : (setOf p).Infinite) (n : ℕ) : count p (nth p n) = n :=
count_nth fun hf => absurd hf hp
#align nat.count_nth_of_infinite Nat.count_nth_of_infinite
theorem count_nth_succ {n : ℕ} (hn : ∀ hf : (setOf p).Finite, n < hf.toFinset.card) :
count p (nth p n + 1) = n + 1 := by rw [count_succ, count_nth hn, if_pos (nth_mem _ hn)]
#align nat.count_nth_succ Nat.count_nth_succ
@[simp]
theorem nth_count {n : ℕ} (hpn : p n) : nth p (count p n) = n :=
have : ∀ hf : (setOf p).Finite, count p n < hf.toFinset.card := fun hf => count_lt_card hf hpn
count_injective (nth_mem _ this) hpn (count_nth this)
#align nat.nth_count Nat.nth_count
| Mathlib/Data/Nat/Nth.lean | 364 | 367 | theorem nth_lt_of_lt_count {n k : ℕ} (h : k < count p n) : nth p k < n := by |
refine (count_monotone p).reflect_lt ?_
rwa [count_nth]
exact fun hf => h.trans_le (count_le_card hf n)
|
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
| Mathlib/CategoryTheory/Limits/Shapes/StrongEpi.lean | 127 | 135 | 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]⟩ }
|
import Mathlib.RingTheory.IntegrallyClosed
import Mathlib.RingTheory.Trace
import Mathlib.RingTheory.Norm
#align_import ring_theory.discriminant from "leanprover-community/mathlib"@"3e068ece210655b7b9a9477c3aff38a492400aa1"
universe u v w z
open scoped Matrix
open Matrix FiniteDimensional Fintype Polynomial Finset IntermediateField
namespace Algebra
variable (A : Type u) {B : Type v} (C : Type z) {ι : Type w} [DecidableEq ι]
variable [CommRing A] [CommRing B] [Algebra A B] [CommRing C] [Algebra A C]
section Discr
-- Porting note: using `[DecidableEq ι]` instead of `by classical...` did not work in
-- mathlib3.
noncomputable def discr (A : Type u) {B : Type v} [CommRing A] [CommRing B] [Algebra A B]
[Fintype ι] (b : ι → B) := (traceMatrix A b).det
#align algebra.discr Algebra.discr
theorem discr_def [Fintype ι] (b : ι → B) : discr A b = (traceMatrix A b).det := rfl
variable {A C} in
theorem discr_eq_discr_of_algEquiv [Fintype ι] (b : ι → B) (f : B ≃ₐ[A] C) :
Algebra.discr A b = Algebra.discr A (f ∘ b) := by
rw [discr_def]; congr; ext
simp_rw [traceMatrix_apply, traceForm_apply, Function.comp, ← map_mul f, trace_eq_of_algEquiv]
#align algebra.discr_def Algebra.discr_def
variable {ι' : Type*} [Fintype ι'] [Fintype ι] [DecidableEq ι']
section Field
variable (K : Type u) {L : Type v} (E : Type z) [Field K] [Field L] [Field E]
variable [Algebra K L] [Algebra K E]
variable [Module.Finite K L] [IsAlgClosed E]
theorem discr_not_zero_of_basis [IsSeparable K L] (b : Basis ι K L) :
discr K b ≠ 0 := by
rw [discr_def, traceMatrix_of_basis, ← LinearMap.BilinForm.nondegenerate_iff_det_ne_zero]
exact traceForm_nondegenerate _ _
#align algebra.discr_not_zero_of_basis Algebra.discr_not_zero_of_basis
theorem discr_isUnit_of_basis [IsSeparable K L] (b : Basis ι K L) : IsUnit (discr K b) :=
IsUnit.mk0 _ (discr_not_zero_of_basis _ _)
#align algebra.discr_is_unit_of_basis Algebra.discr_isUnit_of_basis
variable (b : ι → L) (pb : PowerBasis K L)
theorem discr_eq_det_embeddingsMatrixReindex_pow_two [IsSeparable K L] (e : ι ≃ (L →ₐ[K] E)) :
algebraMap K E (discr K b) = (embeddingsMatrixReindex K E b e).det ^ 2 := by
rw [discr_def, RingHom.map_det, RingHom.mapMatrix_apply,
traceMatrix_eq_embeddingsMatrixReindex_mul_trans, det_mul, det_transpose, pow_two]
#align algebra.discr_eq_det_embeddings_matrix_reindex_pow_two Algebra.discr_eq_det_embeddingsMatrixReindex_pow_two
theorem discr_powerBasis_eq_prod (e : Fin pb.dim ≃ (L →ₐ[K] E)) [IsSeparable K L] :
algebraMap K E (discr K pb.basis) =
∏ i : Fin pb.dim, ∏ j ∈ Ioi i, (e j pb.gen - e i pb.gen) ^ 2 := by
rw [discr_eq_det_embeddingsMatrixReindex_pow_two K E pb.basis e,
embeddingsMatrixReindex_eq_vandermonde, det_transpose, det_vandermonde, ← prod_pow]
congr; ext i
rw [← prod_pow]
#align algebra.discr_power_basis_eq_prod Algebra.discr_powerBasis_eq_prod
theorem discr_powerBasis_eq_prod' [IsSeparable K L] (e : Fin pb.dim ≃ (L →ₐ[K] E)) :
algebraMap K E (discr K pb.basis) =
∏ i : Fin pb.dim, ∏ j ∈ Ioi i, -((e j pb.gen - e i pb.gen) * (e i pb.gen - e j pb.gen)) := by
rw [discr_powerBasis_eq_prod _ _ _ e]
congr; ext i; congr; ext j
ring
#align algebra.discr_power_basis_eq_prod' Algebra.discr_powerBasis_eq_prod'
local notation "n" => finrank K L
| Mathlib/RingTheory/Discriminant.lean | 182 | 210 | theorem discr_powerBasis_eq_prod'' [IsSeparable K L] (e : Fin pb.dim ≃ (L →ₐ[K] E)) :
algebraMap K E (discr K pb.basis) =
(-1) ^ (n * (n - 1) / 2) *
∏ i : Fin pb.dim, ∏ j ∈ Ioi i, (e j pb.gen - e i pb.gen) * (e i pb.gen - e j pb.gen) := by |
rw [discr_powerBasis_eq_prod' _ _ _ e]
simp_rw [fun i j => neg_eq_neg_one_mul ((e j pb.gen - e i pb.gen) * (e i pb.gen - e j pb.gen)),
prod_mul_distrib]
congr
simp only [prod_pow_eq_pow_sum, prod_const]
congr
rw [← @Nat.cast_inj ℚ, Nat.cast_sum]
have : ∀ x : Fin pb.dim, ↑x + 1 ≤ pb.dim := by simp [Nat.succ_le_iff, Fin.is_lt]
simp_rw [Fin.card_Ioi, Nat.sub_sub, add_comm 1]
simp only [Nat.cast_sub, this, Finset.card_fin, nsmul_eq_mul, sum_const, sum_sub_distrib,
Nat.cast_add, Nat.cast_one, sum_add_distrib, mul_one]
rw [← Nat.cast_sum, ← @Finset.sum_range ℕ _ pb.dim fun i => i, sum_range_id]
have hn : n = pb.dim := by
rw [← AlgHom.card K L E, ← Fintype.card_fin pb.dim]
-- FIXME: Without the `Fintype` namespace, why does it complain about `Finset.card_congr` being
-- deprecated?
exact Fintype.card_congr e.symm
have h₂ : 2 ∣ pb.dim * (pb.dim - 1) := pb.dim.even_mul_pred_self.two_dvd
have hne : ((2 : ℕ) : ℚ) ≠ 0 := by simp
have hle : 1 ≤ pb.dim := by
rw [← hn, Nat.one_le_iff_ne_zero, ← zero_lt_iff, FiniteDimensional.finrank_pos_iff]
infer_instance
rw [hn, Nat.cast_div h₂ hne, Nat.cast_mul, Nat.cast_sub hle]
field_simp
ring
|
import Mathlib.Topology.Compactness.SigmaCompact
import Mathlib.Topology.Connected.TotallyDisconnected
import Mathlib.Topology.Inseparable
#align_import topology.separation from "leanprover-community/mathlib"@"d91e7f7a7f1c7e9f0e18fdb6bde4f652004c735d"
open Function Set Filter Topology TopologicalSpace
open scoped Classical
universe u v
variable {X : Type*} {Y : Type*} [TopologicalSpace X]
section Separation
def SeparatedNhds : Set X → Set X → Prop := fun s t : Set X =>
∃ U V : Set X, IsOpen U ∧ IsOpen V ∧ s ⊆ U ∧ t ⊆ V ∧ Disjoint U V
#align separated_nhds SeparatedNhds
theorem separatedNhds_iff_disjoint {s t : Set X} : SeparatedNhds s t ↔ Disjoint (𝓝ˢ s) (𝓝ˢ t) := by
simp only [(hasBasis_nhdsSet s).disjoint_iff (hasBasis_nhdsSet t), SeparatedNhds, exists_prop, ←
exists_and_left, and_assoc, and_comm, and_left_comm]
#align separated_nhds_iff_disjoint separatedNhds_iff_disjoint
alias ⟨SeparatedNhds.disjoint_nhdsSet, _⟩ := separatedNhds_iff_disjoint
class T0Space (X : Type u) [TopologicalSpace X] : Prop where
t0 : ∀ ⦃x y : X⦄, Inseparable x y → x = y
#align t0_space T0Space
theorem t0Space_iff_inseparable (X : Type u) [TopologicalSpace X] :
T0Space X ↔ ∀ x y : X, Inseparable x y → x = y :=
⟨fun ⟨h⟩ => h, fun h => ⟨h⟩⟩
#align t0_space_iff_inseparable t0Space_iff_inseparable
theorem t0Space_iff_not_inseparable (X : Type u) [TopologicalSpace X] :
T0Space X ↔ Pairwise fun x y : X => ¬Inseparable x y := by
simp only [t0Space_iff_inseparable, Ne, not_imp_not, Pairwise]
#align t0_space_iff_not_inseparable t0Space_iff_not_inseparable
theorem Inseparable.eq [T0Space X] {x y : X} (h : Inseparable x y) : x = y :=
T0Space.t0 h
#align inseparable.eq Inseparable.eq
protected theorem Inducing.injective [TopologicalSpace Y] [T0Space X] {f : X → Y}
(hf : Inducing f) : Injective f := fun _ _ h =>
(hf.inseparable_iff.1 <| .of_eq h).eq
#align inducing.injective Inducing.injective
protected theorem Inducing.embedding [TopologicalSpace Y] [T0Space X] {f : X → Y}
(hf : Inducing f) : Embedding f :=
⟨hf, hf.injective⟩
#align inducing.embedding Inducing.embedding
lemma embedding_iff_inducing [TopologicalSpace Y] [T0Space X] {f : X → Y} :
Embedding f ↔ Inducing f :=
⟨Embedding.toInducing, Inducing.embedding⟩
#align embedding_iff_inducing embedding_iff_inducing
theorem t0Space_iff_nhds_injective (X : Type u) [TopologicalSpace X] :
T0Space X ↔ Injective (𝓝 : X → Filter X) :=
t0Space_iff_inseparable X
#align t0_space_iff_nhds_injective t0Space_iff_nhds_injective
theorem nhds_injective [T0Space X] : Injective (𝓝 : X → Filter X) :=
(t0Space_iff_nhds_injective X).1 ‹_›
#align nhds_injective nhds_injective
theorem inseparable_iff_eq [T0Space X] {x y : X} : Inseparable x y ↔ x = y :=
nhds_injective.eq_iff
#align inseparable_iff_eq inseparable_iff_eq
@[simp]
theorem nhds_eq_nhds_iff [T0Space X] {a b : X} : 𝓝 a = 𝓝 b ↔ a = b :=
nhds_injective.eq_iff
#align nhds_eq_nhds_iff nhds_eq_nhds_iff
@[simp]
theorem inseparable_eq_eq [T0Space X] : Inseparable = @Eq X :=
funext₂ fun _ _ => propext inseparable_iff_eq
#align inseparable_eq_eq inseparable_eq_eq
theorem TopologicalSpace.IsTopologicalBasis.inseparable_iff {b : Set (Set X)}
(hb : IsTopologicalBasis b) {x y : X} : Inseparable x y ↔ ∀ s ∈ b, (x ∈ s ↔ y ∈ s) :=
⟨fun h s hs ↦ inseparable_iff_forall_open.1 h _ (hb.isOpen hs),
fun h ↦ hb.nhds_hasBasis.eq_of_same_basis <| by
convert hb.nhds_hasBasis using 2
exact and_congr_right (h _)⟩
theorem TopologicalSpace.IsTopologicalBasis.eq_iff [T0Space X] {b : Set (Set X)}
(hb : IsTopologicalBasis b) {x y : X} : x = y ↔ ∀ s ∈ b, (x ∈ s ↔ y ∈ s) :=
inseparable_iff_eq.symm.trans hb.inseparable_iff
theorem t0Space_iff_exists_isOpen_xor'_mem (X : Type u) [TopologicalSpace X] :
T0Space X ↔ Pairwise fun x y => ∃ U : Set X, IsOpen U ∧ Xor' (x ∈ U) (y ∈ U) := by
simp only [t0Space_iff_not_inseparable, xor_iff_not_iff, not_forall, exists_prop,
inseparable_iff_forall_open, Pairwise]
#align t0_space_iff_exists_is_open_xor_mem t0Space_iff_exists_isOpen_xor'_mem
theorem exists_isOpen_xor'_mem [T0Space X] {x y : X} (h : x ≠ y) :
∃ U : Set X, IsOpen U ∧ Xor' (x ∈ U) (y ∈ U) :=
(t0Space_iff_exists_isOpen_xor'_mem X).1 ‹_› h
#align exists_is_open_xor_mem exists_isOpen_xor'_mem
def specializationOrder (X) [TopologicalSpace X] [T0Space X] : PartialOrder X :=
{ specializationPreorder X, PartialOrder.lift (OrderDual.toDual ∘ 𝓝) nhds_injective with }
#align specialization_order specializationOrder
instance SeparationQuotient.instT0Space : T0Space (SeparationQuotient X) :=
⟨fun x y => Quotient.inductionOn₂' x y fun _ _ h =>
SeparationQuotient.mk_eq_mk.2 <| SeparationQuotient.inducing_mk.inseparable_iff.1 h⟩
theorem minimal_nonempty_closed_subsingleton [T0Space X] {s : Set X} (hs : IsClosed s)
(hmin : ∀ t, t ⊆ s → t.Nonempty → IsClosed t → t = s) : s.Subsingleton := by
clear Y -- Porting note: added
refine fun x hx y hy => of_not_not fun hxy => ?_
rcases exists_isOpen_xor'_mem hxy with ⟨U, hUo, hU⟩
wlog h : x ∈ U ∧ y ∉ U
· refine this hs hmin y hy x hx (Ne.symm hxy) U hUo hU.symm (hU.resolve_left h)
cases' h with hxU hyU
have : s \ U = s := hmin (s \ U) diff_subset ⟨y, hy, hyU⟩ (hs.sdiff hUo)
exact (this.symm.subset hx).2 hxU
#align minimal_nonempty_closed_subsingleton minimal_nonempty_closed_subsingleton
theorem minimal_nonempty_closed_eq_singleton [T0Space X] {s : Set X} (hs : IsClosed s)
(hne : s.Nonempty) (hmin : ∀ t, t ⊆ s → t.Nonempty → IsClosed t → t = s) : ∃ x, s = {x} :=
exists_eq_singleton_iff_nonempty_subsingleton.2
⟨hne, minimal_nonempty_closed_subsingleton hs hmin⟩
#align minimal_nonempty_closed_eq_singleton minimal_nonempty_closed_eq_singleton
theorem IsClosed.exists_closed_singleton [T0Space X] [CompactSpace X] {S : Set X}
(hS : IsClosed S) (hne : S.Nonempty) : ∃ x : X, x ∈ S ∧ IsClosed ({x} : Set X) := by
obtain ⟨V, Vsub, Vne, Vcls, hV⟩ := hS.exists_minimal_nonempty_closed_subset hne
rcases minimal_nonempty_closed_eq_singleton Vcls Vne hV with ⟨x, rfl⟩
exact ⟨x, Vsub (mem_singleton x), Vcls⟩
#align is_closed.exists_closed_singleton IsClosed.exists_closed_singleton
theorem minimal_nonempty_open_subsingleton [T0Space X] {s : Set X} (hs : IsOpen s)
(hmin : ∀ t, t ⊆ s → t.Nonempty → IsOpen t → t = s) : s.Subsingleton := by
clear Y -- Porting note: added
refine fun x hx y hy => of_not_not fun hxy => ?_
rcases exists_isOpen_xor'_mem hxy with ⟨U, hUo, hU⟩
wlog h : x ∈ U ∧ y ∉ U
· exact this hs hmin y hy x hx (Ne.symm hxy) U hUo hU.symm (hU.resolve_left h)
cases' h with hxU hyU
have : s ∩ U = s := hmin (s ∩ U) inter_subset_left ⟨x, hx, hxU⟩ (hs.inter hUo)
exact hyU (this.symm.subset hy).2
#align minimal_nonempty_open_subsingleton minimal_nonempty_open_subsingleton
theorem minimal_nonempty_open_eq_singleton [T0Space X] {s : Set X} (hs : IsOpen s)
(hne : s.Nonempty) (hmin : ∀ t, t ⊆ s → t.Nonempty → IsOpen t → t = s) : ∃ x, s = {x} :=
exists_eq_singleton_iff_nonempty_subsingleton.2 ⟨hne, minimal_nonempty_open_subsingleton hs hmin⟩
#align minimal_nonempty_open_eq_singleton minimal_nonempty_open_eq_singleton
theorem exists_isOpen_singleton_of_isOpen_finite [T0Space X] {s : Set X} (hfin : s.Finite)
(hne : s.Nonempty) (ho : IsOpen s) : ∃ x ∈ s, IsOpen ({x} : Set X) := by
lift s to Finset X using hfin
induction' s using Finset.strongInductionOn with s ihs
rcases em (∃ t, t ⊂ s ∧ t.Nonempty ∧ IsOpen (t : Set X)) with (⟨t, hts, htne, hto⟩ | ht)
· rcases ihs t hts htne hto with ⟨x, hxt, hxo⟩
exact ⟨x, hts.1 hxt, hxo⟩
· -- Porting note: was `rcases minimal_nonempty_open_eq_singleton ho hne _ with ⟨x, hx⟩`
-- https://github.com/leanprover/std4/issues/116
rsuffices ⟨x, hx⟩ : ∃ x, s.toSet = {x}
· exact ⟨x, hx.symm ▸ rfl, hx ▸ ho⟩
refine minimal_nonempty_open_eq_singleton ho hne ?_
refine fun t hts htne hto => of_not_not fun hts' => ht ?_
lift t to Finset X using s.finite_toSet.subset hts
exact ⟨t, ssubset_iff_subset_ne.2 ⟨hts, mt Finset.coe_inj.2 hts'⟩, htne, hto⟩
#align exists_open_singleton_of_open_finite exists_isOpen_singleton_of_isOpen_finite
theorem exists_open_singleton_of_finite [T0Space X] [Finite X] [Nonempty X] :
∃ x : X, IsOpen ({x} : Set X) :=
let ⟨x, _, h⟩ := exists_isOpen_singleton_of_isOpen_finite (Set.toFinite _)
univ_nonempty isOpen_univ
⟨x, h⟩
#align exists_open_singleton_of_fintype exists_open_singleton_of_finite
theorem t0Space_of_injective_of_continuous [TopologicalSpace Y] {f : X → Y}
(hf : Function.Injective f) (hf' : Continuous f) [T0Space Y] : T0Space X :=
⟨fun _ _ h => hf <| (h.map hf').eq⟩
#align t0_space_of_injective_of_continuous t0Space_of_injective_of_continuous
protected theorem Embedding.t0Space [TopologicalSpace Y] [T0Space Y] {f : X → Y}
(hf : Embedding f) : T0Space X :=
t0Space_of_injective_of_continuous hf.inj hf.continuous
#align embedding.t0_space Embedding.t0Space
instance Subtype.t0Space [T0Space X] {p : X → Prop} : T0Space (Subtype p) :=
embedding_subtype_val.t0Space
#align subtype.t0_space Subtype.t0Space
theorem t0Space_iff_or_not_mem_closure (X : Type u) [TopologicalSpace X] :
T0Space X ↔ Pairwise fun a b : X => a ∉ closure ({b} : Set X) ∨ b ∉ closure ({a} : Set X) := by
simp only [t0Space_iff_not_inseparable, inseparable_iff_mem_closure, not_and_or]
#align t0_space_iff_or_not_mem_closure t0Space_iff_or_not_mem_closure
instance Prod.instT0Space [TopologicalSpace Y] [T0Space X] [T0Space Y] : T0Space (X × Y) :=
⟨fun _ _ h => Prod.ext (h.map continuous_fst).eq (h.map continuous_snd).eq⟩
instance Pi.instT0Space {ι : Type*} {X : ι → Type*} [∀ i, TopologicalSpace (X i)]
[∀ i, T0Space (X i)] :
T0Space (∀ i, X i) :=
⟨fun _ _ h => funext fun i => (h.map (continuous_apply i)).eq⟩
#align pi.t0_space Pi.instT0Space
instance ULift.instT0Space [T0Space X] : T0Space (ULift X) :=
embedding_uLift_down.t0Space
theorem T0Space.of_cover (h : ∀ x y, Inseparable x y → ∃ s : Set X, x ∈ s ∧ y ∈ s ∧ T0Space s) :
T0Space X := by
refine ⟨fun x y hxy => ?_⟩
rcases h x y hxy with ⟨s, hxs, hys, hs⟩
lift x to s using hxs; lift y to s using hys
rw [← subtype_inseparable_iff] at hxy
exact congr_arg Subtype.val hxy.eq
#align t0_space.of_cover T0Space.of_cover
theorem T0Space.of_open_cover (h : ∀ x, ∃ s : Set X, x ∈ s ∧ IsOpen s ∧ T0Space s) : T0Space X :=
T0Space.of_cover fun x _ hxy =>
let ⟨s, hxs, hso, hs⟩ := h x
⟨s, hxs, (hxy.mem_open_iff hso).1 hxs, hs⟩
#align t0_space.of_open_cover T0Space.of_open_cover
@[mk_iff]
class R0Space (X : Type u) [TopologicalSpace X] : Prop where
specializes_symmetric : Symmetric (Specializes : X → X → Prop)
export R0Space (specializes_symmetric)
class T1Space (X : Type u) [TopologicalSpace X] : Prop where
t1 : ∀ x, IsClosed ({x} : Set X)
#align t1_space T1Space
theorem isClosed_singleton [T1Space X] {x : X} : IsClosed ({x} : Set X) :=
T1Space.t1 x
#align is_closed_singleton isClosed_singleton
theorem isOpen_compl_singleton [T1Space X] {x : X} : IsOpen ({x}ᶜ : Set X) :=
isClosed_singleton.isOpen_compl
#align is_open_compl_singleton isOpen_compl_singleton
theorem isOpen_ne [T1Space X] {x : X} : IsOpen { y | y ≠ x } :=
isOpen_compl_singleton
#align is_open_ne isOpen_ne
@[to_additive]
theorem Continuous.isOpen_mulSupport [T1Space X] [One X] [TopologicalSpace Y] {f : Y → X}
(hf : Continuous f) : IsOpen (mulSupport f) :=
isOpen_ne.preimage hf
#align continuous.is_open_mul_support Continuous.isOpen_mulSupport
#align continuous.is_open_support Continuous.isOpen_support
theorem Ne.nhdsWithin_compl_singleton [T1Space X] {x y : X} (h : x ≠ y) : 𝓝[{y}ᶜ] x = 𝓝 x :=
isOpen_ne.nhdsWithin_eq h
#align ne.nhds_within_compl_singleton Ne.nhdsWithin_compl_singleton
theorem Ne.nhdsWithin_diff_singleton [T1Space X] {x y : X} (h : x ≠ y) (s : Set X) :
𝓝[s \ {y}] x = 𝓝[s] x := by
rw [diff_eq, inter_comm, nhdsWithin_inter_of_mem]
exact mem_nhdsWithin_of_mem_nhds (isOpen_ne.mem_nhds h)
#align ne.nhds_within_diff_singleton Ne.nhdsWithin_diff_singleton
lemma nhdsWithin_compl_singleton_le [T1Space X] (x y : X) : 𝓝[{x}ᶜ] x ≤ 𝓝[{y}ᶜ] x := by
rcases eq_or_ne x y with rfl|hy
· exact Eq.le rfl
· rw [Ne.nhdsWithin_compl_singleton hy]
exact nhdsWithin_le_nhds
theorem isOpen_setOf_eventually_nhdsWithin [T1Space X] {p : X → Prop} :
IsOpen { x | ∀ᶠ y in 𝓝[≠] x, p y } := by
refine isOpen_iff_mem_nhds.mpr fun a ha => ?_
filter_upwards [eventually_nhds_nhdsWithin.mpr ha] with b hb
rcases eq_or_ne a b with rfl | h
· exact hb
· rw [h.symm.nhdsWithin_compl_singleton] at hb
exact hb.filter_mono nhdsWithin_le_nhds
#align is_open_set_of_eventually_nhds_within isOpen_setOf_eventually_nhdsWithin
protected theorem Set.Finite.isClosed [T1Space X] {s : Set X} (hs : Set.Finite s) : IsClosed s := by
rw [← biUnion_of_singleton s]
exact hs.isClosed_biUnion fun i _ => isClosed_singleton
#align set.finite.is_closed Set.Finite.isClosed
theorem TopologicalSpace.IsTopologicalBasis.exists_mem_of_ne [T1Space X] {b : Set (Set X)}
(hb : IsTopologicalBasis b) {x y : X} (h : x ≠ y) : ∃ a ∈ b, x ∈ a ∧ y ∉ a := by
rcases hb.isOpen_iff.1 isOpen_ne x h with ⟨a, ab, xa, ha⟩
exact ⟨a, ab, xa, fun h => ha h rfl⟩
#align topological_space.is_topological_basis.exists_mem_of_ne TopologicalSpace.IsTopologicalBasis.exists_mem_of_ne
protected theorem Finset.isClosed [T1Space X] (s : Finset X) : IsClosed (s : Set X) :=
s.finite_toSet.isClosed
#align finset.is_closed Finset.isClosed
theorem t1Space_TFAE (X : Type u) [TopologicalSpace X] :
List.TFAE [T1Space X,
∀ x, IsClosed ({ x } : Set X),
∀ x, IsOpen ({ x }ᶜ : Set X),
Continuous (@CofiniteTopology.of X),
∀ ⦃x y : X⦄, x ≠ y → {y}ᶜ ∈ 𝓝 x,
∀ ⦃x y : X⦄, x ≠ y → ∃ s ∈ 𝓝 x, y ∉ s,
∀ ⦃x y : X⦄, x ≠ y → ∃ U : Set X, IsOpen U ∧ x ∈ U ∧ y ∉ U,
∀ ⦃x y : X⦄, x ≠ y → Disjoint (𝓝 x) (pure y),
∀ ⦃x y : X⦄, x ≠ y → Disjoint (pure x) (𝓝 y),
∀ ⦃x y : X⦄, x ⤳ y → x = y] := by
tfae_have 1 ↔ 2
· exact ⟨fun h => h.1, fun h => ⟨h⟩⟩
tfae_have 2 ↔ 3
· simp only [isOpen_compl_iff]
tfae_have 5 ↔ 3
· refine forall_swap.trans ?_
simp only [isOpen_iff_mem_nhds, mem_compl_iff, mem_singleton_iff]
tfae_have 5 ↔ 6
· simp only [← subset_compl_singleton_iff, exists_mem_subset_iff]
tfae_have 5 ↔ 7
· simp only [(nhds_basis_opens _).mem_iff, subset_compl_singleton_iff, exists_prop, and_assoc,
and_left_comm]
tfae_have 5 ↔ 8
· simp only [← principal_singleton, disjoint_principal_right]
tfae_have 8 ↔ 9
· exact forall_swap.trans (by simp only [disjoint_comm, ne_comm])
tfae_have 1 → 4
· simp only [continuous_def, CofiniteTopology.isOpen_iff']
rintro H s (rfl | hs)
exacts [isOpen_empty, compl_compl s ▸ (@Set.Finite.isClosed _ _ H _ hs).isOpen_compl]
tfae_have 4 → 2
· exact fun h x => (CofiniteTopology.isClosed_iff.2 <| Or.inr (finite_singleton _)).preimage h
tfae_have 2 ↔ 10
· simp only [← closure_subset_iff_isClosed, specializes_iff_mem_closure, subset_def,
mem_singleton_iff, eq_comm]
tfae_finish
#align t1_space_tfae t1Space_TFAE
theorem t1Space_iff_continuous_cofinite_of : T1Space X ↔ Continuous (@CofiniteTopology.of X) :=
(t1Space_TFAE X).out 0 3
#align t1_space_iff_continuous_cofinite_of t1Space_iff_continuous_cofinite_of
theorem CofiniteTopology.continuous_of [T1Space X] : Continuous (@CofiniteTopology.of X) :=
t1Space_iff_continuous_cofinite_of.mp ‹_›
#align cofinite_topology.continuous_of CofiniteTopology.continuous_of
theorem t1Space_iff_exists_open :
T1Space X ↔ Pairwise fun x y => ∃ U : Set X, IsOpen U ∧ x ∈ U ∧ y ∉ U :=
(t1Space_TFAE X).out 0 6
#align t1_space_iff_exists_open t1Space_iff_exists_open
theorem t1Space_iff_disjoint_pure_nhds : T1Space X ↔ ∀ ⦃x y : X⦄, x ≠ y → Disjoint (pure x) (𝓝 y) :=
(t1Space_TFAE X).out 0 8
#align t1_space_iff_disjoint_pure_nhds t1Space_iff_disjoint_pure_nhds
theorem t1Space_iff_disjoint_nhds_pure : T1Space X ↔ ∀ ⦃x y : X⦄, x ≠ y → Disjoint (𝓝 x) (pure y) :=
(t1Space_TFAE X).out 0 7
#align t1_space_iff_disjoint_nhds_pure t1Space_iff_disjoint_nhds_pure
theorem t1Space_iff_specializes_imp_eq : T1Space X ↔ ∀ ⦃x y : X⦄, x ⤳ y → x = y :=
(t1Space_TFAE X).out 0 9
#align t1_space_iff_specializes_imp_eq t1Space_iff_specializes_imp_eq
theorem disjoint_pure_nhds [T1Space X] {x y : X} (h : x ≠ y) : Disjoint (pure x) (𝓝 y) :=
t1Space_iff_disjoint_pure_nhds.mp ‹_› h
#align disjoint_pure_nhds disjoint_pure_nhds
theorem disjoint_nhds_pure [T1Space X] {x y : X} (h : x ≠ y) : Disjoint (𝓝 x) (pure y) :=
t1Space_iff_disjoint_nhds_pure.mp ‹_› h
#align disjoint_nhds_pure disjoint_nhds_pure
theorem Specializes.eq [T1Space X] {x y : X} (h : x ⤳ y) : x = y :=
t1Space_iff_specializes_imp_eq.1 ‹_› h
#align specializes.eq Specializes.eq
theorem specializes_iff_eq [T1Space X] {x y : X} : x ⤳ y ↔ x = y :=
⟨Specializes.eq, fun h => h ▸ specializes_rfl⟩
#align specializes_iff_eq specializes_iff_eq
@[simp] theorem specializes_eq_eq [T1Space X] : (· ⤳ ·) = @Eq X :=
funext₂ fun _ _ => propext specializes_iff_eq
#align specializes_eq_eq specializes_eq_eq
@[simp]
theorem pure_le_nhds_iff [T1Space X] {a b : X} : pure a ≤ 𝓝 b ↔ a = b :=
specializes_iff_pure.symm.trans specializes_iff_eq
#align pure_le_nhds_iff pure_le_nhds_iff
@[simp]
theorem nhds_le_nhds_iff [T1Space X] {a b : X} : 𝓝 a ≤ 𝓝 b ↔ a = b :=
specializes_iff_eq
#align nhds_le_nhds_iff nhds_le_nhds_iff
instance (priority := 100) [T1Space X] : R0Space X where
specializes_symmetric _ _ := by rw [specializes_iff_eq, specializes_iff_eq]; exact Eq.symm
instance : T1Space (CofiniteTopology X) :=
t1Space_iff_continuous_cofinite_of.mpr continuous_id
theorem t1Space_antitone : Antitone (@T1Space X) := fun a _ h _ =>
@T1Space.mk _ a fun x => (T1Space.t1 x).mono h
#align t1_space_antitone t1Space_antitone
theorem continuousWithinAt_update_of_ne [T1Space X] [DecidableEq X] [TopologicalSpace Y] {f : X → Y}
{s : Set X} {x x' : X} {y : Y} (hne : x' ≠ x) :
ContinuousWithinAt (Function.update f x y) s x' ↔ ContinuousWithinAt f s x' :=
EventuallyEq.congr_continuousWithinAt
(mem_nhdsWithin_of_mem_nhds <| mem_of_superset (isOpen_ne.mem_nhds hne) fun _y' hy' =>
Function.update_noteq hy' _ _)
(Function.update_noteq hne _ _)
#align continuous_within_at_update_of_ne continuousWithinAt_update_of_ne
theorem continuousAt_update_of_ne [T1Space X] [DecidableEq X] [TopologicalSpace Y]
{f : X → Y} {x x' : X} {y : Y} (hne : x' ≠ x) :
ContinuousAt (Function.update f x y) x' ↔ ContinuousAt f x' := by
simp only [← continuousWithinAt_univ, continuousWithinAt_update_of_ne hne]
#align continuous_at_update_of_ne continuousAt_update_of_ne
theorem continuousOn_update_iff [T1Space X] [DecidableEq X] [TopologicalSpace Y] {f : X → Y}
{s : Set X} {x : X} {y : Y} :
ContinuousOn (Function.update f x y) s ↔
ContinuousOn f (s \ {x}) ∧ (x ∈ s → Tendsto f (𝓝[s \ {x}] x) (𝓝 y)) := by
rw [ContinuousOn, ← and_forall_ne x, and_comm]
refine and_congr ⟨fun H z hz => ?_, fun H z hzx hzs => ?_⟩ (forall_congr' fun _ => ?_)
· specialize H z hz.2 hz.1
rw [continuousWithinAt_update_of_ne hz.2] at H
exact H.mono diff_subset
· rw [continuousWithinAt_update_of_ne hzx]
refine (H z ⟨hzs, hzx⟩).mono_of_mem (inter_mem_nhdsWithin _ ?_)
exact isOpen_ne.mem_nhds hzx
· exact continuousWithinAt_update_same
#align continuous_on_update_iff continuousOn_update_iff
theorem t1Space_of_injective_of_continuous [TopologicalSpace Y] {f : X → Y}
(hf : Function.Injective f) (hf' : Continuous f) [T1Space Y] : T1Space X :=
t1Space_iff_specializes_imp_eq.2 fun _ _ h => hf (h.map hf').eq
#align t1_space_of_injective_of_continuous t1Space_of_injective_of_continuous
protected theorem Embedding.t1Space [TopologicalSpace Y] [T1Space Y] {f : X → Y}
(hf : Embedding f) : T1Space X :=
t1Space_of_injective_of_continuous hf.inj hf.continuous
#align embedding.t1_space Embedding.t1Space
instance Subtype.t1Space {X : Type u} [TopologicalSpace X] [T1Space X] {p : X → Prop} :
T1Space (Subtype p) :=
embedding_subtype_val.t1Space
#align subtype.t1_space Subtype.t1Space
instance [TopologicalSpace Y] [T1Space X] [T1Space Y] : T1Space (X × Y) :=
⟨fun ⟨a, b⟩ => @singleton_prod_singleton _ _ a b ▸ isClosed_singleton.prod isClosed_singleton⟩
instance {ι : Type*} {X : ι → Type*} [∀ i, TopologicalSpace (X i)] [∀ i, T1Space (X i)] :
T1Space (∀ i, X i) :=
⟨fun f => univ_pi_singleton f ▸ isClosed_set_pi fun _ _ => isClosed_singleton⟩
instance ULift.instT1Space [T1Space X] : T1Space (ULift X) :=
embedding_uLift_down.t1Space
-- see Note [lower instance priority]
instance (priority := 100) TotallyDisconnectedSpace.t1Space [h: TotallyDisconnectedSpace X] :
T1Space X := by
rw [((t1Space_TFAE X).out 0 1 :)]
intro x
rw [← totallyDisconnectedSpace_iff_connectedComponent_singleton.mp h x]
exact isClosed_connectedComponent
-- see Note [lower instance priority]
instance (priority := 100) T1Space.t0Space [T1Space X] : T0Space X :=
⟨fun _ _ h => h.specializes.eq⟩
#align t1_space.t0_space T1Space.t0Space
@[simp]
theorem compl_singleton_mem_nhds_iff [T1Space X] {x y : X} : {x}ᶜ ∈ 𝓝 y ↔ y ≠ x :=
isOpen_compl_singleton.mem_nhds_iff
#align compl_singleton_mem_nhds_iff compl_singleton_mem_nhds_iff
theorem compl_singleton_mem_nhds [T1Space X] {x y : X} (h : y ≠ x) : {x}ᶜ ∈ 𝓝 y :=
compl_singleton_mem_nhds_iff.mpr h
#align compl_singleton_mem_nhds compl_singleton_mem_nhds
@[simp]
theorem closure_singleton [T1Space X] {x : X} : closure ({x} : Set X) = {x} :=
isClosed_singleton.closure_eq
#align closure_singleton closure_singleton
-- Porting note (#11215): TODO: the proof was `hs.induction_on (by simp) fun x => by simp`
theorem Set.Subsingleton.closure [T1Space X] {s : Set X} (hs : s.Subsingleton) :
(closure s).Subsingleton := by
rcases hs.eq_empty_or_singleton with (rfl | ⟨x, rfl⟩) <;> simp
#align set.subsingleton.closure Set.Subsingleton.closure
@[simp]
theorem subsingleton_closure [T1Space X] {s : Set X} : (closure s).Subsingleton ↔ s.Subsingleton :=
⟨fun h => h.anti subset_closure, fun h => h.closure⟩
#align subsingleton_closure subsingleton_closure
theorem isClosedMap_const {X Y} [TopologicalSpace X] [TopologicalSpace Y] [T1Space Y] {y : Y} :
IsClosedMap (Function.const X y) :=
IsClosedMap.of_nonempty fun s _ h2s => by simp_rw [const, h2s.image_const, isClosed_singleton]
#align is_closed_map_const isClosedMap_const
theorem nhdsWithin_insert_of_ne [T1Space X] {x y : X} {s : Set X} (hxy : x ≠ y) :
𝓝[insert y s] x = 𝓝[s] x := by
refine le_antisymm (Filter.le_def.2 fun t ht => ?_) (nhdsWithin_mono x <| subset_insert y s)
obtain ⟨o, ho, hxo, host⟩ := mem_nhdsWithin.mp ht
refine mem_nhdsWithin.mpr ⟨o \ {y}, ho.sdiff isClosed_singleton, ⟨hxo, hxy⟩, ?_⟩
rw [inter_insert_of_not_mem <| not_mem_diff_of_mem (mem_singleton y)]
exact (inter_subset_inter diff_subset Subset.rfl).trans host
#align nhds_within_insert_of_ne nhdsWithin_insert_of_ne
theorem insert_mem_nhdsWithin_of_subset_insert [T1Space X] {x y : X} {s t : Set X}
(hu : t ⊆ insert y s) : insert x s ∈ 𝓝[t] x := by
rcases eq_or_ne x y with (rfl | h)
· exact mem_of_superset self_mem_nhdsWithin hu
refine nhdsWithin_mono x hu ?_
rw [nhdsWithin_insert_of_ne h]
exact mem_of_superset self_mem_nhdsWithin (subset_insert x s)
#align insert_mem_nhds_within_of_subset_insert insert_mem_nhdsWithin_of_subset_insert
@[simp]
theorem ker_nhds [T1Space X] (x : X) : (𝓝 x).ker = {x} := by
simp [ker_nhds_eq_specializes]
theorem biInter_basis_nhds [T1Space X] {ι : Sort*} {p : ι → Prop} {s : ι → Set X} {x : X}
(h : (𝓝 x).HasBasis p s) : ⋂ (i) (_ : p i), s i = {x} := by
rw [← h.ker, ker_nhds]
#align bInter_basis_nhds biInter_basis_nhds
@[simp]
theorem compl_singleton_mem_nhdsSet_iff [T1Space X] {x : X} {s : Set X} : {x}ᶜ ∈ 𝓝ˢ s ↔ x ∉ s := by
rw [isOpen_compl_singleton.mem_nhdsSet, subset_compl_singleton_iff]
#align compl_singleton_mem_nhds_set_iff compl_singleton_mem_nhdsSet_iff
@[simp]
theorem nhdsSet_le_iff [T1Space X] {s t : Set X} : 𝓝ˢ s ≤ 𝓝ˢ t ↔ s ⊆ t := by
refine ⟨?_, fun h => monotone_nhdsSet h⟩
simp_rw [Filter.le_def]; intro h x hx
specialize h {x}ᶜ
simp_rw [compl_singleton_mem_nhdsSet_iff] at h
by_contra hxt
exact h hxt hx
#align nhds_set_le_iff nhdsSet_le_iff
@[simp]
theorem nhdsSet_inj_iff [T1Space X] {s t : Set X} : 𝓝ˢ s = 𝓝ˢ t ↔ s = t := by
simp_rw [le_antisymm_iff]
exact and_congr nhdsSet_le_iff nhdsSet_le_iff
#align nhds_set_inj_iff nhdsSet_inj_iff
theorem injective_nhdsSet [T1Space X] : Function.Injective (𝓝ˢ : Set X → Filter X) := fun _ _ hst =>
nhdsSet_inj_iff.mp hst
#align injective_nhds_set injective_nhdsSet
theorem strictMono_nhdsSet [T1Space X] : StrictMono (𝓝ˢ : Set X → Filter X) :=
monotone_nhdsSet.strictMono_of_injective injective_nhdsSet
#align strict_mono_nhds_set strictMono_nhdsSet
@[simp]
theorem nhds_le_nhdsSet_iff [T1Space X] {s : Set X} {x : X} : 𝓝 x ≤ 𝓝ˢ s ↔ x ∈ s := by
rw [← nhdsSet_singleton, nhdsSet_le_iff, singleton_subset_iff]
#align nhds_le_nhds_set_iff nhds_le_nhdsSet_iff
theorem Dense.diff_singleton [T1Space X] {s : Set X} (hs : Dense s) (x : X) [NeBot (𝓝[≠] x)] :
Dense (s \ {x}) :=
hs.inter_of_isOpen_right (dense_compl_singleton x) isOpen_compl_singleton
#align dense.diff_singleton Dense.diff_singleton
theorem Dense.diff_finset [T1Space X] [∀ x : X, NeBot (𝓝[≠] x)] {s : Set X} (hs : Dense s)
(t : Finset X) : Dense (s \ t) := by
induction t using Finset.induction_on with
| empty => simpa using hs
| insert _ ih =>
rw [Finset.coe_insert, ← union_singleton, ← diff_diff]
exact ih.diff_singleton _
#align dense.diff_finset Dense.diff_finset
theorem Dense.diff_finite [T1Space X] [∀ x : X, NeBot (𝓝[≠] x)] {s : Set X} (hs : Dense s)
{t : Set X} (ht : t.Finite) : Dense (s \ t) := by
convert hs.diff_finset ht.toFinset
exact (Finite.coe_toFinset _).symm
#align dense.diff_finite Dense.diff_finite
theorem eq_of_tendsto_nhds [TopologicalSpace Y] [T1Space Y] {f : X → Y} {x : X} {y : Y}
(h : Tendsto f (𝓝 x) (𝓝 y)) : f x = y :=
by_contra fun hfa : f x ≠ y =>
have fact₁ : {f x}ᶜ ∈ 𝓝 y := compl_singleton_mem_nhds hfa.symm
have fact₂ : Tendsto f (pure x) (𝓝 y) := h.comp (tendsto_id'.2 <| pure_le_nhds x)
fact₂ fact₁ (Eq.refl <| f x)
#align eq_of_tendsto_nhds eq_of_tendsto_nhds
theorem Filter.Tendsto.eventually_ne [TopologicalSpace Y] [T1Space Y] {g : X → Y}
{l : Filter X} {b₁ b₂ : Y} (hg : Tendsto g l (𝓝 b₁)) (hb : b₁ ≠ b₂) : ∀ᶠ z in l, g z ≠ b₂ :=
hg.eventually (isOpen_compl_singleton.eventually_mem hb)
#align filter.tendsto.eventually_ne Filter.Tendsto.eventually_ne
theorem ContinuousAt.eventually_ne [TopologicalSpace Y] [T1Space Y] {g : X → Y} {x : X} {y : Y}
(hg1 : ContinuousAt g x) (hg2 : g x ≠ y) : ∀ᶠ z in 𝓝 x, g z ≠ y :=
hg1.tendsto.eventually_ne hg2
#align continuous_at.eventually_ne ContinuousAt.eventually_ne
theorem eventually_ne_nhds [T1Space X] {a b : X} (h : a ≠ b) : ∀ᶠ x in 𝓝 a, x ≠ b :=
IsOpen.eventually_mem isOpen_ne h
theorem eventually_ne_nhdsWithin [T1Space X] {a b : X} {s : Set X} (h : a ≠ b) :
∀ᶠ x in 𝓝[s] a, x ≠ b :=
Filter.Eventually.filter_mono nhdsWithin_le_nhds <| eventually_ne_nhds h
theorem continuousAt_of_tendsto_nhds [TopologicalSpace Y] [T1Space Y] {f : X → Y} {x : X} {y : Y}
(h : Tendsto f (𝓝 x) (𝓝 y)) : ContinuousAt f x := by
rwa [ContinuousAt, eq_of_tendsto_nhds h]
#align continuous_at_of_tendsto_nhds continuousAt_of_tendsto_nhds
@[simp]
theorem tendsto_const_nhds_iff [T1Space X] {l : Filter Y} [NeBot l] {c d : X} :
Tendsto (fun _ => c) l (𝓝 d) ↔ c = d := by simp_rw [Tendsto, Filter.map_const, pure_le_nhds_iff]
#align tendsto_const_nhds_iff tendsto_const_nhds_iff
theorem isOpen_singleton_of_finite_mem_nhds [T1Space X] (x : X)
{s : Set X} (hs : s ∈ 𝓝 x) (hsf : s.Finite) : IsOpen ({x} : Set X) := by
have A : {x} ⊆ s := by simp only [singleton_subset_iff, mem_of_mem_nhds hs]
have B : IsClosed (s \ {x}) := (hsf.subset diff_subset).isClosed
have C : (s \ {x})ᶜ ∈ 𝓝 x := B.isOpen_compl.mem_nhds fun h => h.2 rfl
have D : {x} ∈ 𝓝 x := by simpa only [← diff_eq, diff_diff_cancel_left A] using inter_mem hs C
rwa [← mem_interior_iff_mem_nhds, ← singleton_subset_iff, subset_interior_iff_isOpen] at D
#align is_open_singleton_of_finite_mem_nhds isOpen_singleton_of_finite_mem_nhds
theorem infinite_of_mem_nhds {X} [TopologicalSpace X] [T1Space X] (x : X) [hx : NeBot (𝓝[≠] x)]
{s : Set X} (hs : s ∈ 𝓝 x) : Set.Infinite s := by
refine fun hsf => hx.1 ?_
rw [← isOpen_singleton_iff_punctured_nhds]
exact isOpen_singleton_of_finite_mem_nhds x hs hsf
#align infinite_of_mem_nhds infinite_of_mem_nhds
theorem discrete_of_t1_of_finite [T1Space X] [Finite X] :
DiscreteTopology X := by
apply singletons_open_iff_discrete.mp
intro x
rw [← isClosed_compl_iff]
exact (Set.toFinite _).isClosed
#align discrete_of_t1_of_finite discrete_of_t1_of_finite
theorem PreconnectedSpace.trivial_of_discrete [PreconnectedSpace X] [DiscreteTopology X] :
Subsingleton X := by
rw [← not_nontrivial_iff_subsingleton]
rintro ⟨x, y, hxy⟩
rw [Ne, ← mem_singleton_iff, (isClopen_discrete _).eq_univ <| singleton_nonempty y] at hxy
exact hxy (mem_univ x)
#align preconnected_space.trivial_of_discrete PreconnectedSpace.trivial_of_discrete
| Mathlib/Topology/Separation.lean | 909 | 913 | theorem IsPreconnected.infinite_of_nontrivial [T1Space X] {s : Set X} (h : IsPreconnected s)
(hs : s.Nontrivial) : s.Infinite := by |
refine mt (fun hf => (subsingleton_coe s).mp ?_) (not_subsingleton_iff.mpr hs)
haveI := @discrete_of_t1_of_finite s _ _ hf.to_subtype
exact @PreconnectedSpace.trivial_of_discrete _ _ (Subtype.preconnectedSpace h) _
|
import Mathlib.CategoryTheory.Sites.IsSheafFor
import Mathlib.CategoryTheory.Limits.Shapes.Types
import Mathlib.Tactic.ApplyFun
#align_import category_theory.sites.sheaf_of_types from "leanprover-community/mathlib"@"70fd9563a21e7b963887c9360bd29b2393e6225a"
universe w v u
namespace CategoryTheory
open Opposite CategoryTheory Category Limits Sieve
namespace Equalizer
variable {C : Type u} [Category.{v} C] (P : Cᵒᵖ ⥤ Type max v u) {X : C} (R : Presieve X)
(S : Sieve X)
noncomputable section
def FirstObj : Type max v u :=
∏ᶜ fun f : ΣY, { f : Y ⟶ X // R f } => P.obj (op f.1)
#align category_theory.equalizer.first_obj CategoryTheory.Equalizer.FirstObj
variable {P R}
-- Porting note (#10688): added to ease automation
@[ext]
lemma FirstObj.ext (z₁ z₂ : FirstObj P R) (h : ∀ (Y : C) (f : Y ⟶ X)
(hf : R f), (Pi.π _ ⟨Y, f, hf⟩ : FirstObj P R ⟶ _) z₁ =
(Pi.π _ ⟨Y, f, hf⟩ : FirstObj P R ⟶ _) z₂) : z₁ = z₂ := by
apply Limits.Types.limit_ext
rintro ⟨⟨Y, f, hf⟩⟩
exact h Y f hf
variable (P R)
@[simps]
def firstObjEqFamily : FirstObj P R ≅ R.FamilyOfElements P where
hom t Y f hf := Pi.π (fun f : ΣY, { f : Y ⟶ X // R f } => P.obj (op f.1)) ⟨_, _, hf⟩ t
inv := Pi.lift fun f x => x _ f.2.2
#align category_theory.equalizer.first_obj_eq_family CategoryTheory.Equalizer.firstObjEqFamily
instance : Inhabited (FirstObj P (⊥ : Presieve X)) :=
(firstObjEqFamily P _).toEquiv.inhabited
-- Porting note: was not needed in mathlib
instance : Inhabited (FirstObj P ((⊥ : Sieve X) : Presieve X)) :=
(inferInstance : Inhabited (FirstObj P (⊥ : Presieve X)))
def forkMap : P.obj (op X) ⟶ FirstObj P R :=
Pi.lift fun f => P.map f.2.1.op
#align category_theory.equalizer.fork_map CategoryTheory.Equalizer.forkMap
namespace Presieve
variable [R.hasPullbacks]
@[simp] def SecondObj : Type max v u :=
∏ᶜ fun fg : (ΣY, { f : Y ⟶ X // R f }) × ΣZ, { g : Z ⟶ X // R g } =>
haveI := Presieve.hasPullbacks.has_pullbacks fg.1.2.2 fg.2.2.2
P.obj (op (pullback fg.1.2.1 fg.2.2.1))
#align category_theory.equalizer.presieve.second_obj CategoryTheory.Equalizer.Presieve.SecondObj
def firstMap : FirstObj P R ⟶ SecondObj P R :=
Pi.lift fun fg =>
haveI := Presieve.hasPullbacks.has_pullbacks fg.1.2.2 fg.2.2.2
Pi.π _ _ ≫ P.map pullback.fst.op
#align category_theory.equalizer.presieve.first_map CategoryTheory.Equalizer.Presieve.firstMap
instance [HasPullbacks C] : Inhabited (SecondObj P (⊥ : Presieve X)) :=
⟨firstMap _ _ default⟩
def secondMap : FirstObj P R ⟶ SecondObj P R :=
Pi.lift fun fg =>
haveI := Presieve.hasPullbacks.has_pullbacks fg.1.2.2 fg.2.2.2
Pi.π _ _ ≫ P.map pullback.snd.op
#align category_theory.equalizer.presieve.second_map CategoryTheory.Equalizer.Presieve.secondMap
theorem w : forkMap P R ≫ firstMap P R = forkMap P R ≫ secondMap P R := by
dsimp
ext fg
simp only [firstMap, secondMap, forkMap]
simp only [limit.lift_π, limit.lift_π_assoc, assoc, Fan.mk_π_app]
haveI := Presieve.hasPullbacks.has_pullbacks fg.1.2.2 fg.2.2.2
rw [← P.map_comp, ← op_comp, pullback.condition]
simp
#align category_theory.equalizer.presieve.w CategoryTheory.Equalizer.Presieve.w
| Mathlib/CategoryTheory/Sites/EqualizerSheafCondition.lean | 230 | 240 | theorem compatible_iff (x : FirstObj P R) :
((firstObjEqFamily P R).hom x).Compatible ↔ firstMap P R x = secondMap P R x := by |
rw [Presieve.pullbackCompatible_iff]
constructor
· intro t
apply Limits.Types.limit_ext
rintro ⟨⟨Y, f, hf⟩, Z, g, hg⟩
simpa [firstMap, secondMap] using t hf hg
· intro t Y Z f g hf hg
rw [Types.limit_ext_iff'] at t
simpa [firstMap, secondMap] using t ⟨⟨⟨Y, f, hf⟩, Z, g, hg⟩⟩
|
import Mathlib.Data.Stream.Init
import Mathlib.Tactic.ApplyFun
import Mathlib.Control.Fix
import Mathlib.Order.OmegaCompletePartialOrder
#align_import control.lawful_fix from "leanprover-community/mathlib"@"92ca63f0fb391a9ca5f22d2409a6080e786d99f7"
universe u v
open scoped Classical
variable {α : Type*} {β : α → Type*}
open OmegaCompletePartialOrder
class LawfulFix (α : Type*) [OmegaCompletePartialOrder α] extends Fix α where
fix_eq : ∀ {f : α →o α}, Continuous f → Fix.fix f = f (Fix.fix f)
#align lawful_fix LawfulFix
theorem LawfulFix.fix_eq' {α} [OmegaCompletePartialOrder α] [LawfulFix α] {f : α → α}
(hf : Continuous' f) : Fix.fix f = f (Fix.fix f) :=
LawfulFix.fix_eq (hf.to_bundled _)
#align lawful_fix.fix_eq' LawfulFix.fix_eq'
namespace Part
open Part Nat Nat.Upto
namespace Fix
variable (f : ((a : _) → Part <| β a) →o (a : _) → Part <| β a)
theorem approx_mono' {i : ℕ} : Fix.approx f i ≤ Fix.approx f (succ i) := by
induction i with
| zero => dsimp [approx]; apply @bot_le _ _ _ (f ⊥)
| succ _ i_ih => intro; apply f.monotone; apply i_ih
#align part.fix.approx_mono' Part.Fix.approx_mono'
theorem approx_mono ⦃i j : ℕ⦄ (hij : i ≤ j) : approx f i ≤ approx f j := by
induction' j with j ih
· cases hij
exact le_rfl
cases hij; · exact le_rfl
exact le_trans (ih ‹_›) (approx_mono' f)
#align part.fix.approx_mono Part.Fix.approx_mono
theorem mem_iff (a : α) (b : β a) : b ∈ Part.fix f a ↔ ∃ i, b ∈ approx f i a := by
by_cases h₀ : ∃ i : ℕ, (approx f i a).Dom
· simp only [Part.fix_def f h₀]
constructor <;> intro hh
· exact ⟨_, hh⟩
have h₁ := Nat.find_spec h₀
rw [dom_iff_mem] at h₁
cases' h₁ with y h₁
replace h₁ := approx_mono' f _ _ h₁
suffices y = b by
subst this
exact h₁
cases' hh with i hh
revert h₁; generalize succ (Nat.find h₀) = j; intro h₁
wlog case : i ≤ j
· rcases le_total i j with H | H <;> [skip; symm] <;> apply_assumption <;> assumption
replace hh := approx_mono f case _ _ hh
apply Part.mem_unique h₁ hh
· simp only [fix_def' (⇑f) h₀, not_exists, false_iff_iff, not_mem_none]
simp only [dom_iff_mem, not_exists] at h₀
intro; apply h₀
#align part.fix.mem_iff Part.Fix.mem_iff
theorem approx_le_fix (i : ℕ) : approx f i ≤ Part.fix f := fun a b hh ↦ by
rw [mem_iff f]
exact ⟨_, hh⟩
#align part.fix.approx_le_fix Part.Fix.approx_le_fix
| Mathlib/Control/LawfulFix.lean | 99 | 112 | theorem exists_fix_le_approx (x : α) : ∃ i, Part.fix f x ≤ approx f i x := by |
by_cases hh : ∃ i b, b ∈ approx f i x
· rcases hh with ⟨i, b, hb⟩
exists i
intro b' h'
have hb' := approx_le_fix f i _ _ hb
obtain rfl := Part.mem_unique h' hb'
exact hb
· simp only [not_exists] at hh
exists 0
intro b' h'
simp only [mem_iff f] at h'
cases' h' with i h'
cases hh _ _ h'
|
import Mathlib.Algebra.CharP.ExpChar
import Mathlib.Algebra.GeomSum
import Mathlib.Algebra.MvPolynomial.CommRing
import Mathlib.Algebra.MvPolynomial.Equiv
import Mathlib.RingTheory.Polynomial.Content
import Mathlib.RingTheory.UniqueFactorizationDomain
#align_import ring_theory.polynomial.basic from "leanprover-community/mathlib"@"da420a8c6dd5bdfb85c4ced85c34388f633bc6ff"
noncomputable section
open Polynomial
open Finset
universe u v w
variable {R : Type u} {S : Type*}
namespace Polynomial
section Semiring
variable [Semiring R]
instance instCharP (p : ℕ) [h : CharP R p] : CharP R[X] p :=
let ⟨h⟩ := h
⟨fun n => by rw [← map_natCast C, ← C_0, C_inj, h]⟩
instance instExpChar (p : ℕ) [h : ExpChar R p] : ExpChar R[X] p := by
cases h; exacts [ExpChar.zero, ExpChar.prime ‹_›]
variable (R)
def degreeLE (n : WithBot ℕ) : Submodule R R[X] :=
⨅ k : ℕ, ⨅ _ : ↑k > n, LinearMap.ker (lcoeff R k)
#align polynomial.degree_le Polynomial.degreeLE
def degreeLT (n : ℕ) : Submodule R R[X] :=
⨅ k : ℕ, ⨅ (_ : k ≥ n), LinearMap.ker (lcoeff R k)
#align polynomial.degree_lt Polynomial.degreeLT
variable {R}
theorem mem_degreeLE {n : WithBot ℕ} {f : R[X]} : f ∈ degreeLE R n ↔ degree f ≤ n := by
simp only [degreeLE, Submodule.mem_iInf, degree_le_iff_coeff_zero, LinearMap.mem_ker]; rfl
#align polynomial.mem_degree_le Polynomial.mem_degreeLE
@[mono]
theorem degreeLE_mono {m n : WithBot ℕ} (H : m ≤ n) : degreeLE R m ≤ degreeLE R n := fun _ hf =>
mem_degreeLE.2 (le_trans (mem_degreeLE.1 hf) H)
#align polynomial.degree_le_mono Polynomial.degreeLE_mono
theorem degreeLE_eq_span_X_pow [DecidableEq R] {n : ℕ} :
degreeLE R n = Submodule.span R ↑((Finset.range (n + 1)).image fun n => (X : R[X]) ^ n) := by
apply le_antisymm
· intro p hp
replace hp := mem_degreeLE.1 hp
rw [← Polynomial.sum_monomial_eq p, Polynomial.sum]
refine Submodule.sum_mem _ fun k hk => ?_
have := WithBot.coe_le_coe.1 (Finset.sup_le_iff.1 hp k hk)
rw [← C_mul_X_pow_eq_monomial, C_mul']
refine
Submodule.smul_mem _ _
(Submodule.subset_span <|
Finset.mem_coe.2 <|
Finset.mem_image.2 ⟨_, Finset.mem_range.2 (Nat.lt_succ_of_le this), rfl⟩)
rw [Submodule.span_le, Finset.coe_image, Set.image_subset_iff]
intro k hk
apply mem_degreeLE.2
exact
(degree_X_pow_le _).trans (WithBot.coe_le_coe.2 <| Nat.le_of_lt_succ <| Finset.mem_range.1 hk)
set_option linter.uppercaseLean3 false in
#align polynomial.degree_le_eq_span_X_pow Polynomial.degreeLE_eq_span_X_pow
theorem mem_degreeLT {n : ℕ} {f : R[X]} : f ∈ degreeLT R n ↔ degree f < n := by
rw [degreeLT, Submodule.mem_iInf]
conv_lhs => intro i; rw [Submodule.mem_iInf]
rw [degree, Finset.max_eq_sup_coe]
rw [Finset.sup_lt_iff ?_]
rotate_left
· apply WithBot.bot_lt_coe
conv_rhs =>
simp only [mem_support_iff]
intro b
rw [Nat.cast_withBot, WithBot.coe_lt_coe, lt_iff_not_le, Ne, not_imp_not]
rfl
#align polynomial.mem_degree_lt Polynomial.mem_degreeLT
@[mono]
theorem degreeLT_mono {m n : ℕ} (H : m ≤ n) : degreeLT R m ≤ degreeLT R n := fun _ hf =>
mem_degreeLT.2 (lt_of_lt_of_le (mem_degreeLT.1 hf) <| WithBot.coe_le_coe.2 H)
#align polynomial.degree_lt_mono Polynomial.degreeLT_mono
theorem degreeLT_eq_span_X_pow [DecidableEq R] {n : ℕ} :
degreeLT R n = Submodule.span R ↑((Finset.range n).image fun n => X ^ n : Finset R[X]) := by
apply le_antisymm
· intro p hp
replace hp := mem_degreeLT.1 hp
rw [← Polynomial.sum_monomial_eq p, Polynomial.sum]
refine Submodule.sum_mem _ fun k hk => ?_
have := WithBot.coe_lt_coe.1 ((Finset.sup_lt_iff <| WithBot.bot_lt_coe n).1 hp k hk)
rw [← C_mul_X_pow_eq_monomial, C_mul']
refine
Submodule.smul_mem _ _
(Submodule.subset_span <|
Finset.mem_coe.2 <| Finset.mem_image.2 ⟨_, Finset.mem_range.2 this, rfl⟩)
rw [Submodule.span_le, Finset.coe_image, Set.image_subset_iff]
intro k hk
apply mem_degreeLT.2
exact lt_of_le_of_lt (degree_X_pow_le _) (WithBot.coe_lt_coe.2 <| Finset.mem_range.1 hk)
set_option linter.uppercaseLean3 false in
#align polynomial.degree_lt_eq_span_X_pow Polynomial.degreeLT_eq_span_X_pow
def degreeLTEquiv (R) [Semiring R] (n : ℕ) : degreeLT R n ≃ₗ[R] Fin n → R where
toFun p n := (↑p : R[X]).coeff n
invFun f :=
⟨∑ i : Fin n, monomial i (f i),
(degreeLT R n).sum_mem fun i _ =>
mem_degreeLT.mpr
(lt_of_le_of_lt (degree_monomial_le i (f i)) (WithBot.coe_lt_coe.mpr i.is_lt))⟩
map_add' p q := by
ext
dsimp
rw [coeff_add]
map_smul' x p := by
ext
dsimp
rw [coeff_smul]
rfl
left_inv := by
rintro ⟨p, hp⟩
ext1
simp only [Submodule.coe_mk]
by_cases hp0 : p = 0
· subst hp0
simp only [coeff_zero, LinearMap.map_zero, Finset.sum_const_zero]
rw [mem_degreeLT, degree_eq_natDegree hp0, Nat.cast_lt] at hp
conv_rhs => rw [p.as_sum_range' n hp, ← Fin.sum_univ_eq_sum_range]
right_inv f := by
ext i
simp only [finset_sum_coeff, Submodule.coe_mk]
rw [Finset.sum_eq_single i, coeff_monomial, if_pos rfl]
· rintro j - hji
rw [coeff_monomial, if_neg]
rwa [← Fin.ext_iff]
· intro h
exact (h (Finset.mem_univ _)).elim
#align polynomial.degree_lt_equiv Polynomial.degreeLTEquiv
-- Porting note: removed @[simp] as simp can prove this
theorem degreeLTEquiv_eq_zero_iff_eq_zero {n : ℕ} {p : R[X]} (hp : p ∈ degreeLT R n) :
degreeLTEquiv _ _ ⟨p, hp⟩ = 0 ↔ p = 0 := by
rw [LinearEquiv.map_eq_zero_iff, Submodule.mk_eq_zero]
#align polynomial.degree_lt_equiv_eq_zero_iff_eq_zero Polynomial.degreeLTEquiv_eq_zero_iff_eq_zero
theorem eval_eq_sum_degreeLTEquiv {n : ℕ} {p : R[X]} (hp : p ∈ degreeLT R n) (x : R) :
p.eval x = ∑ i, degreeLTEquiv _ _ ⟨p, hp⟩ i * x ^ (i : ℕ) := by
simp_rw [eval_eq_sum]
exact (sum_fin _ (by simp_rw [zero_mul, forall_const]) (mem_degreeLT.mp hp)).symm
#align polynomial.eval_eq_sum_degree_lt_equiv Polynomial.eval_eq_sum_degreeLTEquiv
theorem degreeLT_succ_eq_degreeLE {n : ℕ} : degreeLT R (n + 1) = degreeLE R n := by
ext x
by_cases x_zero : x = 0
· simp_rw [x_zero, Submodule.zero_mem]
· rw [mem_degreeLT, mem_degreeLE, ← natDegree_lt_iff_degree_lt (by rwa [ne_eq]),
← natDegree_le_iff_degree_le, Nat.lt_succ]
theorem exists_degree_le_of_mem_span {s : Set R[X]} {p : R[X]}
(hs : s.Nonempty) (hp : p ∈ Submodule.span R s) :
∃ p' ∈ s, degree p ≤ degree p' := by
by_contra! h
by_cases hp_zero : p = 0
· rw [hp_zero, degree_zero] at h
rcases hs with ⟨x, hx⟩
exact not_lt_bot (h x hx)
· have : p ∈ degreeLT R (natDegree p) := by
refine (Submodule.span_le.mpr fun p' p'_mem => ?_) hp
rw [SetLike.mem_coe, mem_degreeLT, Nat.cast_withBot]
exact lt_of_lt_of_le (h p' p'_mem) degree_le_natDegree
rwa [mem_degreeLT, Nat.cast_withBot, degree_eq_natDegree hp_zero,
Nat.cast_withBot, lt_self_iff_false] at this
theorem exists_degree_le_of_mem_span_of_finite {s : Set R[X]} (s_fin : s.Finite) (hs : s.Nonempty) :
∃ p' ∈ s, ∀ (p : R[X]), p ∈ Submodule.span R s → degree p ≤ degree p' := by
rcases Set.Finite.exists_maximal_wrt degree s s_fin hs with ⟨a, has, hmax⟩
refine ⟨a, has, fun p hp => ?_⟩
rcases exists_degree_le_of_mem_span hs hp with ⟨p', hp'⟩
by_cases h : degree a ≤ degree p'
· rw [← hmax p' hp'.left h] at hp'; exact hp'.right
· exact le_trans hp'.right (not_le.mp h).le
theorem span_le_degreeLE_of_finite {s : Set R[X]} (s_fin : s.Finite) :
∃ n : ℕ, Submodule.span R s ≤ degreeLE R n := by
by_cases s_emp : s.Nonempty
· rcases exists_degree_le_of_mem_span_of_finite s_fin s_emp with ⟨p', _, hp'max⟩
exact ⟨natDegree p', fun p hp => mem_degreeLE.mpr ((hp'max _ hp).trans degree_le_natDegree)⟩
· rw [Set.not_nonempty_iff_eq_empty] at s_emp
rw [s_emp, Submodule.span_empty]
exact ⟨0, bot_le⟩
theorem span_of_finite_le_degreeLT {s : Set R[X]} (s_fin : s.Finite) :
∃ n : ℕ, Submodule.span R s ≤ degreeLT R n := by
rcases span_le_degreeLE_of_finite s_fin with ⟨n, _⟩
exact ⟨n + 1, by rwa [degreeLT_succ_eq_degreeLE]⟩
theorem not_finite [Nontrivial R] : ¬ Module.Finite R R[X] := by
rw [Module.finite_def, Submodule.fg_def]
push_neg
intro s hs contra
rcases span_le_degreeLE_of_finite hs with ⟨n,hn⟩
have : ((X : R[X]) ^ (n + 1)) ∈ Polynomial.degreeLE R ↑n := by
rw [contra] at hn
exact hn Submodule.mem_top
rw [mem_degreeLE, degree_X_pow, Nat.cast_le, add_le_iff_nonpos_right, nonpos_iff_eq_zero] at this
exact one_ne_zero this
def coeffs (p : R[X]) : Finset R :=
letI := Classical.decEq R
Finset.image (fun n => p.coeff n) p.support
#align polynomial.frange Polynomial.coeffs
@[deprecated (since := "2024-05-17")] noncomputable alias frange := coeffs
theorem coeffs_zero : coeffs (0 : R[X]) = ∅ :=
rfl
#align polynomial.frange_zero Polynomial.coeffs_zero
@[deprecated (since := "2024-05-17")] alias frange_zero := coeffs_zero
theorem mem_coeffs_iff {p : R[X]} {c : R} : c ∈ p.coeffs ↔ ∃ n ∈ p.support, c = p.coeff n := by
simp [coeffs, eq_comm, (Finset.mem_image)]
#align polynomial.mem_frange_iff Polynomial.mem_coeffs_iff
@[deprecated (since := "2024-05-17")] alias mem_frange_iff := mem_coeffs_iff
theorem coeffs_one : coeffs (1 : R[X]) ⊆ {1} := by
classical
simp_rw [coeffs, Finset.image_subset_iff]
simp_all [coeff_one]
#align polynomial.frange_one Polynomial.coeffs_one
@[deprecated (since := "2024-05-17")] alias frange_one := coeffs_one
theorem coeff_mem_coeffs (p : R[X]) (n : ℕ) (h : p.coeff n ≠ 0) : p.coeff n ∈ p.coeffs := by
classical
simp only [coeffs, exists_prop, mem_support_iff, Finset.mem_image, Ne]
exact ⟨n, h, rfl⟩
#align polynomial.coeff_mem_frange Polynomial.coeff_mem_coeffs
@[deprecated (since := "2024-05-17")] alias coeff_mem_frange := coeff_mem_coeffs
theorem geom_sum_X_comp_X_add_one_eq_sum (n : ℕ) :
(∑ i ∈ range n, (X : R[X]) ^ i).comp (X + 1) =
(Finset.range n).sum fun i : ℕ => (n.choose (i + 1) : R[X]) * X ^ i := by
ext i
trans (n.choose (i + 1) : R); swap
· simp only [finset_sum_coeff, ← C_eq_natCast, coeff_C_mul_X_pow]
rw [Finset.sum_eq_single i, if_pos rfl]
· simp (config := { contextual := true }) only [@eq_comm _ i, if_false, eq_self_iff_true,
imp_true_iff]
· simp (config := { contextual := true }) only [Nat.lt_add_one_iff, Nat.choose_eq_zero_of_lt,
Nat.cast_zero, Finset.mem_range, not_lt, eq_self_iff_true, if_true, imp_true_iff]
induction' n with n ih generalizing i
· dsimp; simp only [zero_comp, coeff_zero, Nat.cast_zero]
· simp only [geom_sum_succ', ih, add_comp, X_pow_comp, coeff_add, Nat.choose_succ_succ,
Nat.cast_add, coeff_X_add_one_pow]
set_option linter.uppercaseLean3 false in
#align polynomial.geom_sum_X_comp_X_add_one_eq_sum Polynomial.geom_sum_X_comp_X_add_one_eq_sum
theorem Monic.geom_sum {P : R[X]} (hP : P.Monic) (hdeg : 0 < P.natDegree) {n : ℕ} (hn : n ≠ 0) :
(∑ i ∈ range n, P ^ i).Monic := by
nontriviality R
obtain ⟨n, rfl⟩ := Nat.exists_eq_succ_of_ne_zero hn
rw [geom_sum_succ']
refine (hP.pow _).add_of_left ?_
refine lt_of_le_of_lt (degree_sum_le _ _) ?_
rw [Finset.sup_lt_iff]
· simp only [Finset.mem_range, degree_eq_natDegree (hP.pow _).ne_zero]
simp only [Nat.cast_lt, hP.natDegree_pow]
intro k
exact nsmul_lt_nsmul_left hdeg
· rw [bot_lt_iff_ne_bot, Ne, degree_eq_bot]
exact (hP.pow _).ne_zero
#align polynomial.monic.geom_sum Polynomial.Monic.geom_sum
theorem Monic.geom_sum' {P : R[X]} (hP : P.Monic) (hdeg : 0 < P.degree) {n : ℕ} (hn : n ≠ 0) :
(∑ i ∈ range n, P ^ i).Monic :=
hP.geom_sum (natDegree_pos_iff_degree_pos.2 hdeg) hn
#align polynomial.monic.geom_sum' Polynomial.Monic.geom_sum'
| Mathlib/RingTheory/Polynomial/Basic.lean | 326 | 329 | theorem monic_geom_sum_X {n : ℕ} (hn : n ≠ 0) : (∑ i ∈ range n, (X : R[X]) ^ i).Monic := by |
nontriviality R
apply monic_X.geom_sum _ hn
simp only [natDegree_X, zero_lt_one]
|
import Mathlib.RingTheory.Localization.FractionRing
import Mathlib.RingTheory.Localization.Ideal
import Mathlib.RingTheory.Noetherian
#align_import ring_theory.localization.submodule from "leanprover-community/mathlib"@"1ebb20602a8caef435ce47f6373e1aa40851a177"
variable {R : Type*} [CommRing R] (M : Submonoid R) (S : Type*) [CommRing S]
variable [Algebra R S] {P : Type*} [CommRing P]
namespace IsLocalization
-- This was previously a `hasCoe` instance, but if `S = R` then this will loop.
-- It could be a `hasCoeT` instance, but we keep it explicit here to avoid slowing down
-- the rest of the library.
def coeSubmodule (I : Ideal R) : Submodule R S :=
Submodule.map (Algebra.linearMap R S) I
#align is_localization.coe_submodule IsLocalization.coeSubmodule
theorem mem_coeSubmodule (I : Ideal R) {x : S} :
x ∈ coeSubmodule S I ↔ ∃ y : R, y ∈ I ∧ algebraMap R S y = x :=
Iff.rfl
#align is_localization.mem_coe_submodule IsLocalization.mem_coeSubmodule
theorem coeSubmodule_mono {I J : Ideal R} (h : I ≤ J) : coeSubmodule S I ≤ coeSubmodule S J :=
Submodule.map_mono h
#align is_localization.coe_submodule_mono IsLocalization.coeSubmodule_mono
@[simp]
theorem coeSubmodule_bot : coeSubmodule S (⊥ : Ideal R) = ⊥ := by
rw [coeSubmodule, Submodule.map_bot]
#align is_localization.coe_submodule_bot IsLocalization.coeSubmodule_bot
@[simp]
| Mathlib/RingTheory/Localization/Submodule.lean | 53 | 54 | theorem coeSubmodule_top : coeSubmodule S (⊤ : Ideal R) = 1 := by |
rw [coeSubmodule, Submodule.map_top, Submodule.one_eq_range]
|
import Mathlib.Analysis.Calculus.LineDeriv.Basic
import Mathlib.Analysis.Calculus.FDeriv.Measurable
open MeasureTheory
variable {𝕜 : Type*} [NontriviallyNormedField 𝕜] [LocallyCompactSpace 𝕜]
{E : Type*} [NormedAddCommGroup E] [NormedSpace 𝕜 E] [MeasurableSpace E] [OpensMeasurableSpace E]
{F : Type*} [NormedAddCommGroup F] [NormedSpace 𝕜 F] [CompleteSpace F]
{f : E → F} {v : E}
| Mathlib/Analysis/Calculus/LineDeriv/Measurable.lean | 33 | 38 | theorem measurableSet_lineDifferentiableAt (hf : Continuous f) :
MeasurableSet {x : E | LineDifferentiableAt 𝕜 f x v} := by |
borelize 𝕜
let g : E → 𝕜 → F := fun x t ↦ f (x + t • v)
have hg : Continuous g.uncurry := by apply hf.comp; continuity
exact measurable_prod_mk_right (measurableSet_of_differentiableAt_with_param 𝕜 hg)
|
import Mathlib.Topology.Instances.RealVectorSpace
import Mathlib.Analysis.NormedSpace.AffineIsometry
#align_import analysis.normed_space.mazur_ulam from "leanprover-community/mathlib"@"78261225eb5cedc61c5c74ecb44e5b385d13b733"
variable {E PE F PF : Type*} [NormedAddCommGroup E] [NormedSpace ℝ E] [MetricSpace PE]
[NormedAddTorsor E PE] [NormedAddCommGroup F] [NormedSpace ℝ F] [MetricSpace PF]
[NormedAddTorsor F PF]
open Set AffineMap AffineIsometryEquiv
noncomputable section
namespace IsometryEquiv
theorem midpoint_fixed {x y : PE} :
∀ e : PE ≃ᵢ PE, e x = x → e y = y → e (midpoint ℝ x y) = midpoint ℝ x y := by
set z := midpoint ℝ x y
-- Consider the set of `e : E ≃ᵢ E` such that `e x = x` and `e y = y`
set s := { e : PE ≃ᵢ PE | e x = x ∧ e y = y }
haveI : Nonempty s := ⟨⟨IsometryEquiv.refl PE, rfl, rfl⟩⟩
-- On the one hand, `e` cannot send the midpoint `z` of `[x, y]` too far
have h_bdd : BddAbove (range fun e : s => dist ((e : PE ≃ᵢ PE) z) z) := by
refine ⟨dist x z + dist x z, forall_mem_range.2 <| Subtype.forall.2 ?_⟩
rintro e ⟨hx, _⟩
calc
dist (e z) z ≤ dist (e z) x + dist x z := dist_triangle (e z) x z
_ = dist (e x) (e z) + dist x z := by rw [hx, dist_comm]
_ = dist x z + dist x z := by erw [e.dist_eq x z]
-- On the other hand, consider the map `f : (E ≃ᵢ E) → (E ≃ᵢ E)`
-- sending each `e` to `R ∘ e⁻¹ ∘ R ∘ e`, where `R` is the point reflection in the
-- midpoint `z` of `[x, y]`.
set R : PE ≃ᵢ PE := (pointReflection ℝ z).toIsometryEquiv
set f : PE ≃ᵢ PE → PE ≃ᵢ PE := fun e => ((e.trans R).trans e.symm).trans R
-- Note that `f` doubles the value of `dist (e z) z`
have hf_dist : ∀ e, dist (f e z) z = 2 * dist (e z) z := by
intro e
dsimp [f, R]
rw [dist_pointReflection_fixed, ← e.dist_eq, e.apply_symm_apply,
dist_pointReflection_self_real, dist_comm]
-- Also note that `f` maps `s` to itself
have hf_maps_to : MapsTo f s s := by
rintro e ⟨hx, hy⟩
constructor <;> simp [f, R, z, hx, hy, e.symm_apply_eq.2 hx.symm, e.symm_apply_eq.2 hy.symm]
-- Therefore, `dist (e z) z = 0` for all `e ∈ s`.
set c := ⨆ e : s, dist ((e : PE ≃ᵢ PE) z) z
have : c ≤ c / 2 := by
apply ciSup_le
rintro ⟨e, he⟩
simp only [Subtype.coe_mk, le_div_iff' (zero_lt_two' ℝ), ← hf_dist]
exact le_ciSup h_bdd ⟨f e, hf_maps_to he⟩
replace : c ≤ 0 := by linarith
refine fun e hx hy => dist_le_zero.1 (le_trans ?_ this)
exact le_ciSup h_bdd ⟨e, hx, hy⟩
#align isometry_equiv.midpoint_fixed IsometryEquiv.midpoint_fixed
| Mathlib/Analysis/NormedSpace/MazurUlam.lean | 87 | 96 | theorem map_midpoint (f : PE ≃ᵢ PF) (x y : PE) : f (midpoint ℝ x y) = midpoint ℝ (f x) (f y) := by |
set e : PE ≃ᵢ PE :=
((f.trans <| (pointReflection ℝ <| midpoint ℝ (f x) (f y)).toIsometryEquiv).trans f.symm).trans
(pointReflection ℝ <| midpoint ℝ x y).toIsometryEquiv
have hx : e x = x := by simp [e]
have hy : e y = y := by simp [e]
have hm := e.midpoint_fixed hx hy
simp only [e, trans_apply] at hm
rwa [← eq_symm_apply, toIsometryEquiv_symm, pointReflection_symm, coe_toIsometryEquiv,
coe_toIsometryEquiv, pointReflection_self, symm_apply_eq, @pointReflection_fixed_iff] at hm
|
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
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⟩
-- the topological structure is embedded in the uniform structure
-- to avoid instance diamond issues. See Note [forgetful inheritance].
class UniformSpace (α : Type u) extends TopologicalSpace α where
protected uniformity : Filter (α × α)
protected symm : Tendsto Prod.swap uniformity uniformity
protected comp : (uniformity.lift' fun s => s ○ s) ≤ uniformity
protected nhds_eq_comap_uniformity (x : α) : 𝓝 x = comap (Prod.mk x) uniformity
#align uniform_space UniformSpace
#noalign uniform_space.mk' -- Can't be a `match_pattern`, so not useful anymore
def uniformity (α : Type u) [UniformSpace α] : Filter (α × α) :=
@UniformSpace.uniformity α _
#align uniformity uniformity
scoped[Uniformity] notation "𝓤[" u "]" => @uniformity _ u
@[inherit_doc] -- Porting note (#11215): TODO: should we drop the `uniformity` def?
scoped[Uniformity] notation "𝓤" => uniformity
abbrev UniformSpace.ofCoreEq {α : Type u} (u : UniformSpace.Core α) (t : TopologicalSpace α)
(h : t = u.toTopologicalSpace) : UniformSpace α where
__ := u
toTopologicalSpace := t
nhds_eq_comap_uniformity x := by rw [h, u.nhds_toTopologicalSpace]
#align uniform_space.of_core_eq UniformSpace.ofCoreEq
abbrev UniformSpace.ofCore {α : Type u} (u : UniformSpace.Core α) : UniformSpace α :=
.ofCoreEq u _ rfl
#align uniform_space.of_core UniformSpace.ofCore
abbrev UniformSpace.toCore (u : UniformSpace α) : UniformSpace.Core α where
__ := u
refl := by
rintro U hU ⟨x, y⟩ (rfl : x = y)
have : Prod.mk x ⁻¹' U ∈ 𝓝 x := by
rw [UniformSpace.nhds_eq_comap_uniformity]
exact preimage_mem_comap hU
convert mem_of_mem_nhds this
theorem UniformSpace.toCore_toTopologicalSpace (u : UniformSpace α) :
u.toCore.toTopologicalSpace = u.toTopologicalSpace :=
TopologicalSpace.ext_nhds fun a ↦ by
rw [u.nhds_eq_comap_uniformity, u.toCore.nhds_toTopologicalSpace]
#align uniform_space.to_core_to_topological_space UniformSpace.toCore_toTopologicalSpace
@[deprecated UniformSpace.mk (since := "2024-03-20")]
def UniformSpace.ofNhdsEqComap (u : UniformSpace.Core α) (_t : TopologicalSpace α)
(h : ∀ x, 𝓝 x = u.uniformity.comap (Prod.mk x)) : UniformSpace α where
__ := u
nhds_eq_comap_uniformity := h
@[ext]
protected theorem UniformSpace.ext {u₁ u₂ : UniformSpace α} (h : 𝓤[u₁] = 𝓤[u₂]) : u₁ = u₂ := by
have : u₁.toTopologicalSpace = u₂.toTopologicalSpace := TopologicalSpace.ext_nhds fun x ↦ by
rw [u₁.nhds_eq_comap_uniformity, u₂.nhds_eq_comap_uniformity]
exact congr_arg (comap _) h
cases u₁; cases u₂; congr
#align uniform_space_eq UniformSpace.ext
protected theorem UniformSpace.ext_iff {u₁ u₂ : UniformSpace α} :
u₁ = u₂ ↔ ∀ s, s ∈ 𝓤[u₁] ↔ s ∈ 𝓤[u₂] :=
⟨fun h _ => h ▸ Iff.rfl, fun h => by ext; exact h _⟩
theorem UniformSpace.ofCoreEq_toCore (u : UniformSpace α) (t : TopologicalSpace α)
(h : t = u.toCore.toTopologicalSpace) : .ofCoreEq u.toCore t h = u :=
UniformSpace.ext rfl
#align uniform_space.of_core_eq_to_core UniformSpace.ofCoreEq_toCore
abbrev UniformSpace.replaceTopology {α : Type*} [i : TopologicalSpace α] (u : UniformSpace α)
(h : i = u.toTopologicalSpace) : UniformSpace α where
__ := u
toTopologicalSpace := i
nhds_eq_comap_uniformity x := by rw [h, u.nhds_eq_comap_uniformity]
#align uniform_space.replace_topology UniformSpace.replaceTopology
theorem UniformSpace.replaceTopology_eq {α : Type*} [i : TopologicalSpace α] (u : UniformSpace α)
(h : i = u.toTopologicalSpace) : u.replaceTopology h = u :=
UniformSpace.ext rfl
#align uniform_space.replace_topology_eq UniformSpace.replaceTopology_eq
-- Porting note: rfc: use `UniformSpace.Core.mkOfBasis`? This will change defeq here and there
def UniformSpace.ofFun {α : Type u} {β : Type v} [OrderedAddCommMonoid β]
(d : α → α → β) (refl : ∀ x, d x x = 0) (symm : ∀ x y, d x y = d y x)
(triangle : ∀ x y z, d x z ≤ d x y + d y z)
(half : ∀ ε > (0 : β), ∃ δ > (0 : β), ∀ x < δ, ∀ y < δ, x + y < ε) :
UniformSpace α :=
.ofCore
{ uniformity := ⨅ r > 0, 𝓟 { x | d x.1 x.2 < r }
refl := le_iInf₂ fun r hr => principal_mono.2 <| idRel_subset.2 fun x => by simpa [refl]
symm := tendsto_iInf_iInf fun r => tendsto_iInf_iInf fun _ => tendsto_principal_principal.2
fun x hx => by rwa [mem_setOf, symm]
comp := le_iInf₂ fun r hr => let ⟨δ, h0, hδr⟩ := half r hr; le_principal_iff.2 <|
mem_of_superset
(mem_lift' <| mem_iInf_of_mem δ <| mem_iInf_of_mem h0 <| mem_principal_self _)
fun (x, z) ⟨y, h₁, h₂⟩ => (triangle _ _ _).trans_lt (hδr _ h₁ _ h₂) }
#align uniform_space.of_fun UniformSpace.ofFun
theorem UniformSpace.hasBasis_ofFun {α : Type u} {β : Type v} [LinearOrderedAddCommMonoid β]
(h₀ : ∃ x : β, 0 < x) (d : α → α → β) (refl : ∀ x, d x x = 0) (symm : ∀ x y, d x y = d y x)
(triangle : ∀ x y z, d x z ≤ d x y + d y z)
(half : ∀ ε > (0 : β), ∃ δ > (0 : β), ∀ x < δ, ∀ y < δ, x + y < ε) :
𝓤[.ofFun d refl symm triangle half].HasBasis ((0 : β) < ·) (fun ε => { x | d x.1 x.2 < ε }) :=
hasBasis_biInf_principal'
(fun ε₁ h₁ ε₂ h₂ => ⟨min ε₁ ε₂, lt_min h₁ h₂, fun _x hx => lt_of_lt_of_le hx (min_le_left _ _),
fun _x hx => lt_of_lt_of_le hx (min_le_right _ _)⟩) h₀
#align uniform_space.has_basis_of_fun UniformSpace.hasBasis_ofFun
section UniformSpace
variable [UniformSpace α]
theorem nhds_eq_comap_uniformity {x : α} : 𝓝 x = (𝓤 α).comap (Prod.mk x) :=
UniformSpace.nhds_eq_comap_uniformity x
#align nhds_eq_comap_uniformity nhds_eq_comap_uniformity
theorem isOpen_uniformity {s : Set α} :
IsOpen s ↔ ∀ x ∈ s, { p : α × α | p.1 = x → p.2 ∈ s } ∈ 𝓤 α := by
simp only [isOpen_iff_mem_nhds, nhds_eq_comap_uniformity, mem_comap_prod_mk]
#align is_open_uniformity isOpen_uniformity
theorem refl_le_uniformity : 𝓟 idRel ≤ 𝓤 α :=
(@UniformSpace.toCore α _).refl
#align refl_le_uniformity refl_le_uniformity
instance uniformity.neBot [Nonempty α] : NeBot (𝓤 α) :=
diagonal_nonempty.principal_neBot.mono refl_le_uniformity
#align uniformity.ne_bot uniformity.neBot
theorem refl_mem_uniformity {x : α} {s : Set (α × α)} (h : s ∈ 𝓤 α) : (x, x) ∈ s :=
refl_le_uniformity h rfl
#align refl_mem_uniformity refl_mem_uniformity
theorem mem_uniformity_of_eq {x y : α} {s : Set (α × α)} (h : s ∈ 𝓤 α) (hx : x = y) : (x, y) ∈ s :=
refl_le_uniformity h hx
#align mem_uniformity_of_eq mem_uniformity_of_eq
theorem symm_le_uniformity : map (@Prod.swap α α) (𝓤 _) ≤ 𝓤 _ :=
UniformSpace.symm
#align symm_le_uniformity symm_le_uniformity
theorem comp_le_uniformity : ((𝓤 α).lift' fun s : Set (α × α) => s ○ s) ≤ 𝓤 α :=
UniformSpace.comp
#align comp_le_uniformity comp_le_uniformity
theorem lift'_comp_uniformity : ((𝓤 α).lift' fun s : Set (α × α) => s ○ s) = 𝓤 α :=
comp_le_uniformity.antisymm <| le_lift'.2 fun _s hs ↦ mem_of_superset hs <|
subset_comp_self <| idRel_subset.2 fun _ ↦ refl_mem_uniformity hs
theorem tendsto_swap_uniformity : Tendsto (@Prod.swap α α) (𝓤 α) (𝓤 α) :=
symm_le_uniformity
#align tendsto_swap_uniformity tendsto_swap_uniformity
theorem comp_mem_uniformity_sets {s : Set (α × α)} (hs : s ∈ 𝓤 α) : ∃ t ∈ 𝓤 α, t ○ t ⊆ s :=
(mem_lift'_sets <| monotone_id.compRel monotone_id).mp <| comp_le_uniformity hs
#align comp_mem_uniformity_sets comp_mem_uniformity_sets
theorem eventually_uniformity_iterate_comp_subset {s : Set (α × α)} (hs : s ∈ 𝓤 α) (n : ℕ) :
∀ᶠ t in (𝓤 α).smallSets, (t ○ ·)^[n] t ⊆ s := by
suffices ∀ᶠ t in (𝓤 α).smallSets, t ⊆ s ∧ (t ○ ·)^[n] t ⊆ s from (eventually_and.1 this).2
induction' n with n ihn generalizing s
· simpa
rcases comp_mem_uniformity_sets hs with ⟨t, htU, hts⟩
refine (ihn htU).mono fun U hU => ?_
rw [Function.iterate_succ_apply']
exact
⟨hU.1.trans <| (subset_comp_self <| refl_le_uniformity htU).trans hts,
(compRel_mono hU.1 hU.2).trans hts⟩
#align eventually_uniformity_iterate_comp_subset eventually_uniformity_iterate_comp_subset
theorem eventually_uniformity_comp_subset {s : Set (α × α)} (hs : s ∈ 𝓤 α) :
∀ᶠ t in (𝓤 α).smallSets, t ○ t ⊆ s :=
eventually_uniformity_iterate_comp_subset hs 1
#align eventually_uniformity_comp_subset eventually_uniformity_comp_subset
theorem Filter.Tendsto.uniformity_trans {l : Filter β} {f₁ f₂ f₃ : β → α}
(h₁₂ : Tendsto (fun x => (f₁ x, f₂ x)) l (𝓤 α))
(h₂₃ : Tendsto (fun x => (f₂ x, f₃ x)) l (𝓤 α)) : Tendsto (fun x => (f₁ x, f₃ x)) l (𝓤 α) := by
refine le_trans (le_lift'.2 fun s hs => mem_map.2 ?_) comp_le_uniformity
filter_upwards [mem_map.1 (h₁₂ hs), mem_map.1 (h₂₃ hs)] with x hx₁₂ hx₂₃ using ⟨_, hx₁₂, hx₂₃⟩
#align filter.tendsto.uniformity_trans Filter.Tendsto.uniformity_trans
theorem Filter.Tendsto.uniformity_symm {l : Filter β} {f : β → α × α} (h : Tendsto f l (𝓤 α)) :
Tendsto (fun x => ((f x).2, (f x).1)) l (𝓤 α) :=
tendsto_swap_uniformity.comp h
#align filter.tendsto.uniformity_symm Filter.Tendsto.uniformity_symm
theorem tendsto_diag_uniformity (f : β → α) (l : Filter β) :
Tendsto (fun x => (f x, f x)) l (𝓤 α) := fun _s hs =>
mem_map.2 <| univ_mem' fun _ => refl_mem_uniformity hs
#align tendsto_diag_uniformity tendsto_diag_uniformity
theorem tendsto_const_uniformity {a : α} {f : Filter β} : Tendsto (fun _ => (a, a)) f (𝓤 α) :=
tendsto_diag_uniformity (fun _ => a) f
#align tendsto_const_uniformity tendsto_const_uniformity
theorem symm_of_uniformity {s : Set (α × α)} (hs : s ∈ 𝓤 α) :
∃ t ∈ 𝓤 α, (∀ a b, (a, b) ∈ t → (b, a) ∈ t) ∧ t ⊆ s :=
have : preimage Prod.swap s ∈ 𝓤 α := symm_le_uniformity hs
⟨s ∩ preimage Prod.swap s, inter_mem hs this, fun _ _ ⟨h₁, h₂⟩ => ⟨h₂, h₁⟩, inter_subset_left⟩
#align symm_of_uniformity symm_of_uniformity
theorem comp_symm_of_uniformity {s : Set (α × α)} (hs : s ∈ 𝓤 α) :
∃ t ∈ 𝓤 α, (∀ {a b}, (a, b) ∈ t → (b, a) ∈ t) ∧ t ○ t ⊆ s :=
let ⟨_t, ht₁, ht₂⟩ := comp_mem_uniformity_sets hs
let ⟨t', ht', ht'₁, ht'₂⟩ := symm_of_uniformity ht₁
⟨t', ht', ht'₁ _ _, Subset.trans (monotone_id.compRel monotone_id ht'₂) ht₂⟩
#align comp_symm_of_uniformity comp_symm_of_uniformity
theorem uniformity_le_symm : 𝓤 α ≤ @Prod.swap α α <$> 𝓤 α := by
rw [map_swap_eq_comap_swap]; exact tendsto_swap_uniformity.le_comap
#align uniformity_le_symm uniformity_le_symm
theorem uniformity_eq_symm : 𝓤 α = @Prod.swap α α <$> 𝓤 α :=
le_antisymm uniformity_le_symm symm_le_uniformity
#align uniformity_eq_symm uniformity_eq_symm
@[simp]
theorem comap_swap_uniformity : comap (@Prod.swap α α) (𝓤 α) = 𝓤 α :=
(congr_arg _ uniformity_eq_symm).trans <| comap_map Prod.swap_injective
#align comap_swap_uniformity comap_swap_uniformity
theorem symmetrize_mem_uniformity {V : Set (α × α)} (h : V ∈ 𝓤 α) : symmetrizeRel V ∈ 𝓤 α := by
apply (𝓤 α).inter_sets h
rw [← image_swap_eq_preimage_swap, uniformity_eq_symm]
exact image_mem_map h
#align symmetrize_mem_uniformity symmetrize_mem_uniformity
theorem UniformSpace.hasBasis_symmetric :
(𝓤 α).HasBasis (fun s : Set (α × α) => s ∈ 𝓤 α ∧ SymmetricRel s) id :=
hasBasis_self.2 fun t t_in =>
⟨symmetrizeRel t, symmetrize_mem_uniformity t_in, symmetric_symmetrizeRel t,
symmetrizeRel_subset_self t⟩
#align uniform_space.has_basis_symmetric UniformSpace.hasBasis_symmetric
theorem uniformity_lift_le_swap {g : Set (α × α) → Filter β} {f : Filter β} (hg : Monotone g)
(h : ((𝓤 α).lift fun s => g (preimage Prod.swap s)) ≤ f) : (𝓤 α).lift g ≤ f :=
calc
(𝓤 α).lift g ≤ (Filter.map (@Prod.swap α α) <| 𝓤 α).lift g :=
lift_mono uniformity_le_symm le_rfl
_ ≤ _ := by rw [map_lift_eq2 hg, image_swap_eq_preimage_swap]; exact h
#align uniformity_lift_le_swap uniformity_lift_le_swap
theorem uniformity_lift_le_comp {f : Set (α × α) → Filter β} (h : Monotone f) :
((𝓤 α).lift fun s => f (s ○ s)) ≤ (𝓤 α).lift f :=
calc
((𝓤 α).lift fun s => f (s ○ s)) = ((𝓤 α).lift' fun s : Set (α × α) => s ○ s).lift f := by
rw [lift_lift'_assoc]
· exact monotone_id.compRel monotone_id
· exact h
_ ≤ (𝓤 α).lift f := lift_mono comp_le_uniformity le_rfl
#align uniformity_lift_le_comp uniformity_lift_le_comp
-- Porting note (#10756): new lemma
theorem comp3_mem_uniformity {s : Set (α × α)} (hs : s ∈ 𝓤 α) : ∃ t ∈ 𝓤 α, t ○ (t ○ t) ⊆ s :=
let ⟨_t', ht', ht's⟩ := comp_mem_uniformity_sets hs
let ⟨t, ht, htt'⟩ := comp_mem_uniformity_sets ht'
⟨t, ht, (compRel_mono ((subset_comp_self (refl_le_uniformity ht)).trans htt') htt').trans ht's⟩
theorem comp_le_uniformity3 : ((𝓤 α).lift' fun s : Set (α × α) => s ○ (s ○ s)) ≤ 𝓤 α := fun _ h =>
let ⟨_t, htU, ht⟩ := comp3_mem_uniformity h
mem_of_superset (mem_lift' htU) ht
#align comp_le_uniformity3 comp_le_uniformity3
theorem comp_symm_mem_uniformity_sets {s : Set (α × α)} (hs : s ∈ 𝓤 α) :
∃ t ∈ 𝓤 α, SymmetricRel t ∧ t ○ t ⊆ s := by
obtain ⟨w, w_in, w_sub⟩ : ∃ w ∈ 𝓤 α, w ○ w ⊆ s := comp_mem_uniformity_sets hs
use symmetrizeRel w, symmetrize_mem_uniformity w_in, symmetric_symmetrizeRel w
have : symmetrizeRel w ⊆ w := symmetrizeRel_subset_self w
calc symmetrizeRel w ○ symmetrizeRel w
_ ⊆ w ○ w := by mono
_ ⊆ s := w_sub
#align comp_symm_mem_uniformity_sets comp_symm_mem_uniformity_sets
theorem subset_comp_self_of_mem_uniformity {s : Set (α × α)} (h : s ∈ 𝓤 α) : s ⊆ s ○ s :=
subset_comp_self (refl_le_uniformity h)
#align subset_comp_self_of_mem_uniformity subset_comp_self_of_mem_uniformity
theorem comp_comp_symm_mem_uniformity_sets {s : Set (α × α)} (hs : s ∈ 𝓤 α) :
∃ t ∈ 𝓤 α, SymmetricRel t ∧ t ○ t ○ t ⊆ s := by
rcases comp_symm_mem_uniformity_sets hs with ⟨w, w_in, _, w_sub⟩
rcases comp_symm_mem_uniformity_sets w_in with ⟨t, t_in, t_symm, t_sub⟩
use t, t_in, t_symm
have : t ⊆ t ○ t := subset_comp_self_of_mem_uniformity t_in
-- Porting note: Needed the following `have`s to make `mono` work
have ht := Subset.refl t
have hw := Subset.refl w
calc
t ○ t ○ t ⊆ w ○ t := by mono
_ ⊆ w ○ (t ○ t) := by mono
_ ⊆ w ○ w := by mono
_ ⊆ s := w_sub
#align comp_comp_symm_mem_uniformity_sets comp_comp_symm_mem_uniformity_sets
def UniformSpace.ball (x : β) (V : Set (β × β)) : Set β :=
Prod.mk x ⁻¹' V
#align uniform_space.ball UniformSpace.ball
open UniformSpace (ball)
theorem UniformSpace.mem_ball_self (x : α) {V : Set (α × α)} (hV : V ∈ 𝓤 α) : x ∈ ball x V :=
refl_mem_uniformity hV
#align uniform_space.mem_ball_self UniformSpace.mem_ball_self
theorem mem_ball_comp {V W : Set (β × β)} {x y z} (h : y ∈ ball x V) (h' : z ∈ ball y W) :
z ∈ ball x (V ○ W) :=
prod_mk_mem_compRel h h'
#align mem_ball_comp mem_ball_comp
theorem ball_subset_of_comp_subset {V W : Set (β × β)} {x y} (h : x ∈ ball y W) (h' : W ○ W ⊆ V) :
ball x W ⊆ ball y V := fun _z z_in => h' (mem_ball_comp h z_in)
#align ball_subset_of_comp_subset ball_subset_of_comp_subset
theorem ball_mono {V W : Set (β × β)} (h : V ⊆ W) (x : β) : ball x V ⊆ ball x W :=
preimage_mono h
#align ball_mono ball_mono
theorem ball_inter (x : β) (V W : Set (β × β)) : ball x (V ∩ W) = ball x V ∩ ball x W :=
preimage_inter
#align ball_inter ball_inter
theorem ball_inter_left (x : β) (V W : Set (β × β)) : ball x (V ∩ W) ⊆ ball x V :=
ball_mono inter_subset_left x
#align ball_inter_left ball_inter_left
theorem ball_inter_right (x : β) (V W : Set (β × β)) : ball x (V ∩ W) ⊆ ball x W :=
ball_mono inter_subset_right x
#align ball_inter_right ball_inter_right
theorem mem_ball_symmetry {V : Set (β × β)} (hV : SymmetricRel V) {x y} :
x ∈ ball y V ↔ y ∈ ball x V :=
show (x, y) ∈ Prod.swap ⁻¹' V ↔ (x, y) ∈ V by
unfold SymmetricRel at hV
rw [hV]
#align mem_ball_symmetry mem_ball_symmetry
theorem ball_eq_of_symmetry {V : Set (β × β)} (hV : SymmetricRel V) {x} :
ball x V = { y | (y, x) ∈ V } := by
ext y
rw [mem_ball_symmetry hV]
exact Iff.rfl
#align ball_eq_of_symmetry ball_eq_of_symmetry
theorem mem_comp_of_mem_ball {V W : Set (β × β)} {x y z : β} (hV : SymmetricRel V)
(hx : x ∈ ball z V) (hy : y ∈ ball z W) : (x, y) ∈ V ○ W := by
rw [mem_ball_symmetry hV] at hx
exact ⟨z, hx, hy⟩
#align mem_comp_of_mem_ball mem_comp_of_mem_ball
theorem UniformSpace.isOpen_ball (x : α) {V : Set (α × α)} (hV : IsOpen V) : IsOpen (ball x V) :=
hV.preimage <| continuous_const.prod_mk continuous_id
#align uniform_space.is_open_ball UniformSpace.isOpen_ball
theorem UniformSpace.isClosed_ball (x : α) {V : Set (α × α)} (hV : IsClosed V) :
IsClosed (ball x V) :=
hV.preimage <| continuous_const.prod_mk continuous_id
theorem mem_comp_comp {V W M : Set (β × β)} (hW' : SymmetricRel W) {p : β × β} :
p ∈ V ○ M ○ W ↔ (ball p.1 V ×ˢ ball p.2 W ∩ M).Nonempty := by
cases' p with x y
constructor
· rintro ⟨z, ⟨w, hpw, hwz⟩, hzy⟩
exact ⟨(w, z), ⟨hpw, by rwa [mem_ball_symmetry hW']⟩, hwz⟩
· rintro ⟨⟨w, z⟩, ⟨w_in, z_in⟩, hwz⟩
rw [mem_ball_symmetry hW'] at z_in
exact ⟨z, ⟨w, w_in, hwz⟩, z_in⟩
#align mem_comp_comp mem_comp_comp
theorem mem_nhds_uniformity_iff_right {x : α} {s : Set α} :
s ∈ 𝓝 x ↔ { p : α × α | p.1 = x → p.2 ∈ s } ∈ 𝓤 α := by
simp only [nhds_eq_comap_uniformity, mem_comap_prod_mk]
#align mem_nhds_uniformity_iff_right mem_nhds_uniformity_iff_right
theorem mem_nhds_uniformity_iff_left {x : α} {s : Set α} :
s ∈ 𝓝 x ↔ { p : α × α | p.2 = x → p.1 ∈ s } ∈ 𝓤 α := by
rw [uniformity_eq_symm, mem_nhds_uniformity_iff_right]
simp only [map_def, mem_map, preimage_setOf_eq, Prod.snd_swap, Prod.fst_swap]
#align mem_nhds_uniformity_iff_left mem_nhds_uniformity_iff_left
theorem nhdsWithin_eq_comap_uniformity_of_mem {x : α} {T : Set α} (hx : x ∈ T) (S : Set α) :
𝓝[S] x = (𝓤 α ⊓ 𝓟 (T ×ˢ S)).comap (Prod.mk x) := by
simp [nhdsWithin, nhds_eq_comap_uniformity, hx]
theorem nhdsWithin_eq_comap_uniformity {x : α} (S : Set α) :
𝓝[S] x = (𝓤 α ⊓ 𝓟 (univ ×ˢ S)).comap (Prod.mk x) :=
nhdsWithin_eq_comap_uniformity_of_mem (mem_univ _) S
| Mathlib/Topology/UniformSpace/Basic.lean | 742 | 743 | theorem isOpen_iff_ball_subset {s : Set α} : IsOpen s ↔ ∀ x ∈ s, ∃ V ∈ 𝓤 α, ball x V ⊆ s := by |
simp_rw [isOpen_iff_mem_nhds, nhds_eq_comap_uniformity, mem_comap, ball]
|
import Mathlib.GroupTheory.Coprod.Basic
import Mathlib.GroupTheory.Complement
open Monoid Coprod Multiplicative Subgroup Function
def HNNExtension.con (G : Type*) [Group G] (A B : Subgroup G) (φ : A ≃* B) :
Con (G ∗ Multiplicative ℤ) :=
conGen (fun x y => ∃ (a : A),
x = inr (ofAdd 1) * inl (a : G) ∧
y = inl (φ a : G) * inr (ofAdd 1))
def HNNExtension (G : Type*) [Group G] (A B : Subgroup G) (φ : A ≃* B) : Type _ :=
(HNNExtension.con G A B φ).Quotient
variable {G : Type*} [Group G] {A B : Subgroup G} {φ : A ≃* B} {H : Type*}
[Group H] {M : Type*} [Monoid M]
instance : Group (HNNExtension G A B φ) := by
delta HNNExtension; infer_instance
namespace HNNExtension
def of : G →* HNNExtension G A B φ :=
(HNNExtension.con G A B φ).mk'.comp inl
def t : HNNExtension G A B φ :=
(HNNExtension.con G A B φ).mk'.comp inr (ofAdd 1)
theorem t_mul_of (a : A) :
t * (of (a : G) : HNNExtension G A B φ) = of (φ a : G) * t :=
(Con.eq _).2 <| ConGen.Rel.of _ _ <| ⟨a, by simp⟩
theorem of_mul_t (b : B) :
(of (b : G) : HNNExtension G A B φ) * t = t * of (φ.symm b : G) := by
rw [t_mul_of]; simp
theorem equiv_eq_conj (a : A) :
(of (φ a : G) : HNNExtension G A B φ) = t * of (a : G) * t⁻¹ := by
rw [t_mul_of]; simp
theorem equiv_symm_eq_conj (b : B) :
(of (φ.symm b : G) : HNNExtension G A B φ) = t⁻¹ * of (b : G) * t := by
rw [mul_assoc, of_mul_t]; simp
theorem inv_t_mul_of (b : B) :
t⁻¹ * (of (b : G) : HNNExtension G A B φ) = of (φ.symm b : G) * t⁻¹ := by
rw [equiv_symm_eq_conj]; simp
theorem of_mul_inv_t (a : A) :
(of (a : G) : HNNExtension G A B φ) * t⁻¹ = t⁻¹ * of (φ a : G) := by
rw [equiv_eq_conj]; simp [mul_assoc]
def lift (f : G →* H) (x : H) (hx : ∀ a : A, x * f ↑a = f (φ a : G) * x) :
HNNExtension G A B φ →* H :=
Con.lift _ (Coprod.lift f (zpowersHom H x)) (Con.conGen_le <| by
rintro _ _ ⟨a, rfl, rfl⟩
simp [hx])
@[simp]
| Mathlib/GroupTheory/HNNExtension.lean | 97 | 99 | theorem lift_t (f : G →* H) (x : H) (hx : ∀ a : A, x * f ↑a = f (φ a : G) * x) :
lift f x hx t = x := by |
delta HNNExtension; simp [lift, t]
|
import Mathlib.Data.ENNReal.Basic
import Mathlib.Topology.ContinuousFunction.Bounded
import Mathlib.Topology.MetricSpace.Thickening
#align_import topology.metric_space.thickened_indicator from "leanprover-community/mathlib"@"f2ce6086713c78a7f880485f7917ea547a215982"
open scoped Classical
open NNReal ENNReal Topology BoundedContinuousFunction
open NNReal ENNReal Set Metric EMetric Filter
noncomputable section thickenedIndicator
variable {α : Type*} [PseudoEMetricSpace α]
def thickenedIndicatorAux (δ : ℝ) (E : Set α) : α → ℝ≥0∞ :=
fun x : α => (1 : ℝ≥0∞) - infEdist x E / ENNReal.ofReal δ
#align thickened_indicator_aux thickenedIndicatorAux
theorem continuous_thickenedIndicatorAux {δ : ℝ} (δ_pos : 0 < δ) (E : Set α) :
Continuous (thickenedIndicatorAux δ E) := by
unfold thickenedIndicatorAux
let f := fun x : α => (⟨1, infEdist x E / ENNReal.ofReal δ⟩ : ℝ≥0 × ℝ≥0∞)
let sub := fun p : ℝ≥0 × ℝ≥0∞ => (p.1 : ℝ≥0∞) - p.2
rw [show (fun x : α => (1 : ℝ≥0∞) - infEdist x E / ENNReal.ofReal δ) = sub ∘ f by rfl]
apply (@ENNReal.continuous_nnreal_sub 1).comp
apply (ENNReal.continuous_div_const (ENNReal.ofReal δ) _).comp continuous_infEdist
set_option tactic.skipAssignedInstances false in norm_num [δ_pos]
#align continuous_thickened_indicator_aux continuous_thickenedIndicatorAux
theorem thickenedIndicatorAux_le_one (δ : ℝ) (E : Set α) (x : α) :
thickenedIndicatorAux δ E x ≤ 1 := by
apply @tsub_le_self _ _ _ _ (1 : ℝ≥0∞)
#align thickened_indicator_aux_le_one thickenedIndicatorAux_le_one
theorem thickenedIndicatorAux_lt_top {δ : ℝ} {E : Set α} {x : α} :
thickenedIndicatorAux δ E x < ∞ :=
lt_of_le_of_lt (thickenedIndicatorAux_le_one _ _ _) one_lt_top
#align thickened_indicator_aux_lt_top thickenedIndicatorAux_lt_top
theorem thickenedIndicatorAux_closure_eq (δ : ℝ) (E : Set α) :
thickenedIndicatorAux δ (closure E) = thickenedIndicatorAux δ E := by
simp (config := { unfoldPartialApp := true }) only [thickenedIndicatorAux, infEdist_closure]
#align thickened_indicator_aux_closure_eq thickenedIndicatorAux_closure_eq
theorem thickenedIndicatorAux_one (δ : ℝ) (E : Set α) {x : α} (x_in_E : x ∈ E) :
thickenedIndicatorAux δ E x = 1 := by
simp [thickenedIndicatorAux, infEdist_zero_of_mem x_in_E, tsub_zero]
#align thickened_indicator_aux_one thickenedIndicatorAux_one
theorem thickenedIndicatorAux_one_of_mem_closure (δ : ℝ) (E : Set α) {x : α}
(x_mem : x ∈ closure E) : thickenedIndicatorAux δ E x = 1 := by
rw [← thickenedIndicatorAux_closure_eq, thickenedIndicatorAux_one δ (closure E) x_mem]
#align thickened_indicator_aux_one_of_mem_closure thickenedIndicatorAux_one_of_mem_closure
theorem thickenedIndicatorAux_zero {δ : ℝ} (δ_pos : 0 < δ) (E : Set α) {x : α}
(x_out : x ∉ thickening δ E) : thickenedIndicatorAux δ E x = 0 := by
rw [thickening, mem_setOf_eq, not_lt] at x_out
unfold thickenedIndicatorAux
apply le_antisymm _ bot_le
have key := tsub_le_tsub
(@rfl _ (1 : ℝ≥0∞)).le (ENNReal.div_le_div x_out (@rfl _ (ENNReal.ofReal δ : ℝ≥0∞)).le)
rw [ENNReal.div_self (ne_of_gt (ENNReal.ofReal_pos.mpr δ_pos)) ofReal_ne_top] at key
simpa using key
#align thickened_indicator_aux_zero thickenedIndicatorAux_zero
theorem thickenedIndicatorAux_mono {δ₁ δ₂ : ℝ} (hle : δ₁ ≤ δ₂) (E : Set α) :
thickenedIndicatorAux δ₁ E ≤ thickenedIndicatorAux δ₂ E :=
fun _ => tsub_le_tsub (@rfl ℝ≥0∞ 1).le (ENNReal.div_le_div rfl.le (ofReal_le_ofReal hle))
#align thickened_indicator_aux_mono thickenedIndicatorAux_mono
theorem indicator_le_thickenedIndicatorAux (δ : ℝ) (E : Set α) :
(E.indicator fun _ => (1 : ℝ≥0∞)) ≤ thickenedIndicatorAux δ E := by
intro a
by_cases h : a ∈ E
· simp only [h, indicator_of_mem, thickenedIndicatorAux_one δ E h, le_refl]
· simp only [h, indicator_of_not_mem, not_false_iff, zero_le]
#align indicator_le_thickened_indicator_aux indicator_le_thickenedIndicatorAux
theorem thickenedIndicatorAux_subset (δ : ℝ) {E₁ E₂ : Set α} (subset : E₁ ⊆ E₂) :
thickenedIndicatorAux δ E₁ ≤ thickenedIndicatorAux δ E₂ :=
fun _ => tsub_le_tsub (@rfl ℝ≥0∞ 1).le (ENNReal.div_le_div (infEdist_anti subset) rfl.le)
#align thickened_indicator_aux_subset thickenedIndicatorAux_subset
theorem thickenedIndicatorAux_tendsto_indicator_closure {δseq : ℕ → ℝ}
(δseq_lim : Tendsto δseq atTop (𝓝 0)) (E : Set α) :
Tendsto (fun n => thickenedIndicatorAux (δseq n) E) atTop
(𝓝 (indicator (closure E) fun _ => (1 : ℝ≥0∞))) := by
rw [tendsto_pi_nhds]
intro x
by_cases x_mem_closure : x ∈ closure E
· simp_rw [thickenedIndicatorAux_one_of_mem_closure _ E x_mem_closure]
rw [show (indicator (closure E) fun _ => (1 : ℝ≥0∞)) x = 1 by
simp only [x_mem_closure, indicator_of_mem]]
exact tendsto_const_nhds
· rw [show (closure E).indicator (fun _ => (1 : ℝ≥0∞)) x = 0 by
simp only [x_mem_closure, indicator_of_not_mem, not_false_iff]]
rcases exists_real_pos_lt_infEdist_of_not_mem_closure x_mem_closure with ⟨ε, ⟨ε_pos, ε_lt⟩⟩
rw [Metric.tendsto_nhds] at δseq_lim
specialize δseq_lim ε ε_pos
simp only [dist_zero_right, Real.norm_eq_abs, eventually_atTop, ge_iff_le] at δseq_lim
rcases δseq_lim with ⟨N, hN⟩
apply @tendsto_atTop_of_eventually_const _ _ _ _ _ _ _ N
intro n n_large
have key : x ∉ thickening ε E := by simpa only [thickening, mem_setOf_eq, not_lt] using ε_lt.le
refine le_antisymm ?_ bot_le
apply (thickenedIndicatorAux_mono (lt_of_abs_lt (hN n n_large)).le E x).trans
exact (thickenedIndicatorAux_zero ε_pos E key).le
#align thickened_indicator_aux_tendsto_indicator_closure thickenedIndicatorAux_tendsto_indicator_closure
@[simps]
def thickenedIndicator {δ : ℝ} (δ_pos : 0 < δ) (E : Set α) : α →ᵇ ℝ≥0 where
toFun := fun x : α => (thickenedIndicatorAux δ E x).toNNReal
continuous_toFun := by
apply ContinuousOn.comp_continuous continuousOn_toNNReal
(continuous_thickenedIndicatorAux δ_pos E)
intro x
exact (lt_of_le_of_lt (@thickenedIndicatorAux_le_one _ _ δ E x) one_lt_top).ne
map_bounded' := by
use 2
intro x y
rw [NNReal.dist_eq]
apply (abs_sub _ _).trans
rw [NNReal.abs_eq, NNReal.abs_eq, ← one_add_one_eq_two]
have key := @thickenedIndicatorAux_le_one _ _ δ E
apply add_le_add <;>
· norm_cast
exact (toNNReal_le_toNNReal (lt_of_le_of_lt (key _) one_lt_top).ne one_ne_top).mpr (key _)
#align thickened_indicator thickenedIndicator
theorem thickenedIndicator.coeFn_eq_comp {δ : ℝ} (δ_pos : 0 < δ) (E : Set α) :
⇑(thickenedIndicator δ_pos E) = ENNReal.toNNReal ∘ thickenedIndicatorAux δ E :=
rfl
#align thickened_indicator.coe_fn_eq_comp thickenedIndicator.coeFn_eq_comp
theorem thickenedIndicator_le_one {δ : ℝ} (δ_pos : 0 < δ) (E : Set α) (x : α) :
thickenedIndicator δ_pos E x ≤ 1 := by
rw [thickenedIndicator.coeFn_eq_comp]
simpa using (toNNReal_le_toNNReal thickenedIndicatorAux_lt_top.ne one_ne_top).mpr
(thickenedIndicatorAux_le_one δ E x)
#align thickened_indicator_le_one thickenedIndicator_le_one
| Mathlib/Topology/MetricSpace/ThickenedIndicator.lean | 194 | 196 | theorem thickenedIndicator_one_of_mem_closure {δ : ℝ} (δ_pos : 0 < δ) (E : Set α) {x : α}
(x_mem : x ∈ closure E) : thickenedIndicator δ_pos E x = 1 := by |
rw [thickenedIndicator_apply, thickenedIndicatorAux_one_of_mem_closure δ E x_mem, one_toNNReal]
|
import Mathlib.Algebra.CharP.Two
import Mathlib.Data.Nat.Factorization.Basic
import Mathlib.Data.Nat.Periodic
import Mathlib.Data.ZMod.Basic
import Mathlib.Tactic.Monotonicity
#align_import data.nat.totient from "leanprover-community/mathlib"@"5cc2dfdd3e92f340411acea4427d701dc7ed26f8"
open Finset
namespace Nat
def totient (n : ℕ) : ℕ :=
((range n).filter n.Coprime).card
#align nat.totient Nat.totient
@[inherit_doc]
scoped notation "φ" => Nat.totient
@[simp]
theorem totient_zero : φ 0 = 0 :=
rfl
#align nat.totient_zero Nat.totient_zero
@[simp]
theorem totient_one : φ 1 = 1 := rfl
#align nat.totient_one Nat.totient_one
theorem totient_eq_card_coprime (n : ℕ) : φ n = ((range n).filter n.Coprime).card :=
rfl
#align nat.totient_eq_card_coprime Nat.totient_eq_card_coprime
theorem totient_eq_card_lt_and_coprime (n : ℕ) : φ n = Nat.card { m | m < n ∧ n.Coprime m } := by
let e : { m | m < n ∧ n.Coprime m } ≃ Finset.filter n.Coprime (Finset.range n) :=
{ toFun := fun m => ⟨m, by simpa only [Finset.mem_filter, Finset.mem_range] using m.property⟩
invFun := fun m => ⟨m, by simpa only [Finset.mem_filter, Finset.mem_range] using m.property⟩
left_inv := fun m => by simp only [Subtype.coe_mk, Subtype.coe_eta]
right_inv := fun m => by simp only [Subtype.coe_mk, Subtype.coe_eta] }
rw [totient_eq_card_coprime, card_congr e, card_eq_fintype_card, Fintype.card_coe]
#align nat.totient_eq_card_lt_and_coprime Nat.totient_eq_card_lt_and_coprime
theorem totient_le (n : ℕ) : φ n ≤ n :=
((range n).card_filter_le _).trans_eq (card_range n)
#align nat.totient_le Nat.totient_le
theorem totient_lt (n : ℕ) (hn : 1 < n) : φ n < n :=
(card_lt_card (filter_ssubset.2 ⟨0, by simp [hn.ne', pos_of_gt hn]⟩)).trans_eq (card_range n)
#align nat.totient_lt Nat.totient_lt
@[simp]
theorem totient_eq_zero : ∀ {n : ℕ}, φ n = 0 ↔ n = 0
| 0 => by decide
| n + 1 =>
suffices ∃ x < n + 1, (n + 1).gcd x = 1 by simpa [totient, filter_eq_empty_iff]
⟨1 % (n + 1), mod_lt _ n.succ_pos, by rw [gcd_comm, ← gcd_rec, gcd_one_right]⟩
@[simp] theorem totient_pos {n : ℕ} : 0 < φ n ↔ 0 < n := by simp [pos_iff_ne_zero]
#align nat.totient_pos Nat.totient_pos
theorem filter_coprime_Ico_eq_totient (a n : ℕ) :
((Ico n (n + a)).filter (Coprime a)).card = totient a := by
rw [totient, filter_Ico_card_eq_of_periodic, count_eq_card_filter_range]
exact periodic_coprime a
#align nat.filter_coprime_Ico_eq_totient Nat.filter_coprime_Ico_eq_totient
theorem Ico_filter_coprime_le {a : ℕ} (k n : ℕ) (a_pos : 0 < a) :
((Ico k (k + n)).filter (Coprime a)).card ≤ totient a * (n / a + 1) := by
conv_lhs => rw [← Nat.mod_add_div n a]
induction' n / a with i ih
· rw [← filter_coprime_Ico_eq_totient a k]
simp only [add_zero, mul_one, mul_zero, le_of_lt (mod_lt n a_pos),
Nat.zero_eq, zero_add]
-- Porting note: below line was `mono`
refine Finset.card_mono ?_
refine monotone_filter_left a.Coprime ?_
simp only [Finset.le_eq_subset]
exact Ico_subset_Ico rfl.le (add_le_add_left (le_of_lt (mod_lt n a_pos)) k)
simp only [mul_succ]
simp_rw [← add_assoc] at ih ⊢
calc
(filter a.Coprime (Ico k (k + n % a + a * i + a))).card = (filter a.Coprime
(Ico k (k + n % a + a * i) ∪ Ico (k + n % a + a * i) (k + n % a + a * i + a))).card := by
congr
rw [Ico_union_Ico_eq_Ico]
· rw [add_assoc]
exact le_self_add
exact le_self_add
_ ≤ (filter a.Coprime (Ico k (k + n % a + a * i))).card + a.totient := by
rw [filter_union, ← filter_coprime_Ico_eq_totient a (k + n % a + a * i)]
apply card_union_le
_ ≤ a.totient * i + a.totient + a.totient := add_le_add_right ih (totient a)
#align nat.Ico_filter_coprime_le Nat.Ico_filter_coprime_le
open ZMod
@[simp]
theorem _root_.ZMod.card_units_eq_totient (n : ℕ) [NeZero n] [Fintype (ZMod n)ˣ] :
Fintype.card (ZMod n)ˣ = φ n :=
calc
Fintype.card (ZMod n)ˣ = Fintype.card { x : ZMod n // x.val.Coprime n } :=
Fintype.card_congr ZMod.unitsEquivCoprime
_ = φ n := by
obtain ⟨m, rfl⟩ : ∃ m, n = m + 1 := exists_eq_succ_of_ne_zero NeZero.out
simp only [totient, Finset.card_eq_sum_ones, Fintype.card_subtype, Finset.sum_filter, ←
Fin.sum_univ_eq_sum_range, @Nat.coprime_comm (m + 1)]
rfl
#align zmod.card_units_eq_totient ZMod.card_units_eq_totient
theorem totient_even {n : ℕ} (hn : 2 < n) : Even n.totient := by
haveI : Fact (1 < n) := ⟨one_lt_two.trans hn⟩
haveI : NeZero n := NeZero.of_gt hn
suffices 2 = orderOf (-1 : (ZMod n)ˣ) by
rw [← ZMod.card_units_eq_totient, even_iff_two_dvd, this]
exact orderOf_dvd_card
rw [← orderOf_units, Units.coe_neg_one, orderOf_neg_one, ringChar.eq (ZMod n) n, if_neg hn.ne']
#align nat.totient_even Nat.totient_even
theorem totient_mul {m n : ℕ} (h : m.Coprime n) : φ (m * n) = φ m * φ n :=
if hmn0 : m * n = 0 then by
cases' Nat.mul_eq_zero.1 hmn0 with h h <;>
simp only [totient_zero, mul_zero, zero_mul, h]
else by
haveI : NeZero (m * n) := ⟨hmn0⟩
haveI : NeZero m := ⟨left_ne_zero_of_mul hmn0⟩
haveI : NeZero n := ⟨right_ne_zero_of_mul hmn0⟩
simp only [← ZMod.card_units_eq_totient]
rw [Fintype.card_congr (Units.mapEquiv (ZMod.chineseRemainder h).toMulEquiv).toEquiv,
Fintype.card_congr (@MulEquiv.prodUnits (ZMod m) (ZMod n) _ _).toEquiv, Fintype.card_prod]
#align nat.totient_mul Nat.totient_mul
theorem totient_div_of_dvd {n d : ℕ} (hnd : d ∣ n) :
φ (n / d) = (filter (fun k : ℕ => n.gcd k = d) (range n)).card := by
rcases d.eq_zero_or_pos with (rfl | hd0); · simp [eq_zero_of_zero_dvd hnd]
rcases hnd with ⟨x, rfl⟩
rw [Nat.mul_div_cancel_left x hd0]
apply Finset.card_bij fun k _ => d * k
· simp only [mem_filter, mem_range, and_imp, Coprime]
refine fun a ha1 ha2 => ⟨(mul_lt_mul_left hd0).2 ha1, ?_⟩
rw [gcd_mul_left, ha2, mul_one]
· simp [hd0.ne']
· simp only [mem_filter, mem_range, exists_prop, and_imp]
refine fun b hb1 hb2 => ?_
have : d ∣ b := by
rw [← hb2]
apply gcd_dvd_right
rcases this with ⟨q, rfl⟩
refine ⟨q, ⟨⟨(mul_lt_mul_left hd0).1 hb1, ?_⟩, rfl⟩⟩
rwa [gcd_mul_left, mul_right_eq_self_iff hd0] at hb2
#align nat.totient_div_of_dvd Nat.totient_div_of_dvd
theorem sum_totient (n : ℕ) : n.divisors.sum φ = n := by
rcases n.eq_zero_or_pos with (rfl | hn)
· simp
rw [← sum_div_divisors n φ]
have : n = ∑ d ∈ n.divisors, (filter (fun k : ℕ => n.gcd k = d) (range n)).card := by
nth_rw 1 [← card_range n]
refine card_eq_sum_card_fiberwise fun x _ => mem_divisors.2 ⟨?_, hn.ne'⟩
apply gcd_dvd_left
nth_rw 3 [this]
exact sum_congr rfl fun x hx => totient_div_of_dvd (dvd_of_mem_divisors hx)
#align nat.sum_totient Nat.sum_totient
theorem sum_totient' (n : ℕ) : (∑ m ∈ (range n.succ).filter (· ∣ n), φ m) = n := by
convert sum_totient _ using 1
simp only [Nat.divisors, sum_filter, range_eq_Ico]
rw [sum_eq_sum_Ico_succ_bot] <;> simp
#align nat.sum_totient' Nat.sum_totient'
theorem totient_prime_pow_succ {p : ℕ} (hp : p.Prime) (n : ℕ) : φ (p ^ (n + 1)) = p ^ n * (p - 1) :=
calc
φ (p ^ (n + 1)) = ((range (p ^ (n + 1))).filter (Coprime (p ^ (n + 1)))).card :=
totient_eq_card_coprime _
_ = (range (p ^ (n + 1)) \ (range (p ^ n)).image (· * p)).card :=
(congr_arg card
(by
rw [sdiff_eq_filter]
apply filter_congr
simp only [mem_range, mem_filter, coprime_pow_left_iff n.succ_pos, mem_image, not_exists,
hp.coprime_iff_not_dvd]
intro a ha
constructor
· intro hap b h; rcases h with ⟨_, rfl⟩
exact hap (dvd_mul_left _ _)
· rintro h ⟨b, rfl⟩
rw [pow_succ'] at ha
exact h b ⟨lt_of_mul_lt_mul_left ha (zero_le _), mul_comm _ _⟩))
_ = _ := by
have h1 : Function.Injective (· * p) := mul_left_injective₀ hp.ne_zero
have h2 : (range (p ^ n)).image (· * p) ⊆ range (p ^ (n + 1)) := fun a => by
simp only [mem_image, mem_range, exists_imp]
rintro b ⟨h, rfl⟩
rw [Nat.pow_succ]
exact (mul_lt_mul_right hp.pos).2 h
rw [card_sdiff h2, Finset.card_image_of_injective _ h1, card_range, card_range, ←
one_mul (p ^ n), pow_succ', ← tsub_mul, one_mul, mul_comm]
#align nat.totient_prime_pow_succ Nat.totient_prime_pow_succ
theorem totient_prime_pow {p : ℕ} (hp : p.Prime) {n : ℕ} (hn : 0 < n) :
φ (p ^ n) = p ^ (n - 1) * (p - 1) := by
rcases exists_eq_succ_of_ne_zero (pos_iff_ne_zero.1 hn) with ⟨m, rfl⟩
exact totient_prime_pow_succ hp _
#align nat.totient_prime_pow Nat.totient_prime_pow
theorem totient_prime {p : ℕ} (hp : p.Prime) : φ p = p - 1 := by
rw [← pow_one p, totient_prime_pow hp] <;> simp
#align nat.totient_prime Nat.totient_prime
theorem totient_eq_iff_prime {p : ℕ} (hp : 0 < p) : p.totient = p - 1 ↔ p.Prime := by
refine ⟨fun h => ?_, totient_prime⟩
replace hp : 1 < p := by
apply lt_of_le_of_ne
· rwa [succ_le_iff]
· rintro rfl
rw [totient_one, tsub_self] at h
exact one_ne_zero h
rw [totient_eq_card_coprime, range_eq_Ico, ← Ico_insert_succ_left hp.le, Finset.filter_insert,
if_neg (not_coprime_of_dvd_of_dvd hp (dvd_refl p) (dvd_zero p)), ← Nat.card_Ico 1 p] at h
refine
p.prime_of_coprime hp fun n hn hnz => Finset.filter_card_eq h n <| Finset.mem_Ico.mpr ⟨?_, hn⟩
rwa [succ_le_iff, pos_iff_ne_zero]
#align nat.totient_eq_iff_prime Nat.totient_eq_iff_prime
theorem card_units_zmod_lt_sub_one {p : ℕ} (hp : 1 < p) [Fintype (ZMod p)ˣ] :
Fintype.card (ZMod p)ˣ ≤ p - 1 := by
haveI : NeZero p := ⟨(pos_of_gt hp).ne'⟩
rw [ZMod.card_units_eq_totient p]
exact Nat.le_sub_one_of_lt (Nat.totient_lt p hp)
#align nat.card_units_zmod_lt_sub_one Nat.card_units_zmod_lt_sub_one
theorem prime_iff_card_units (p : ℕ) [Fintype (ZMod p)ˣ] :
p.Prime ↔ Fintype.card (ZMod p)ˣ = p - 1 := by
cases' eq_zero_or_neZero p with hp hp
· subst hp
simp only [ZMod, not_prime_zero, false_iff_iff, zero_tsub]
-- the subst created a non-defeq but subsingleton instance diamond; resolve it
suffices Fintype.card ℤˣ ≠ 0 by convert this
simp
rw [ZMod.card_units_eq_totient, Nat.totient_eq_iff_prime <| NeZero.pos p]
#align nat.prime_iff_card_units Nat.prime_iff_card_units
@[simp]
theorem totient_two : φ 2 = 1 :=
(totient_prime prime_two).trans rfl
#align nat.totient_two Nat.totient_two
theorem totient_eq_one_iff : ∀ {n : ℕ}, n.totient = 1 ↔ n = 1 ∨ n = 2
| 0 => by simp
| 1 => by simp
| 2 => by simp
| n + 3 => by
have : 3 ≤ n + 3 := le_add_self
simp only [succ_succ_ne_one, false_or_iff]
exact ⟨fun h => not_even_one.elim <| h ▸ totient_even this, by rintro ⟨⟩⟩
#align nat.totient_eq_one_iff Nat.totient_eq_one_iff
theorem dvd_two_of_totient_le_one {a : ℕ} (han : 0 < a) (ha : a.totient ≤ 1) : a ∣ 2 := by
rcases totient_eq_one_iff.mp <| le_antisymm ha <| totient_pos.2 han with rfl | rfl <;> norm_num
theorem totient_eq_prod_factorization {n : ℕ} (hn : n ≠ 0) :
φ n = n.factorization.prod fun p k => p ^ (k - 1) * (p - 1) := by
rw [multiplicative_factorization φ (@totient_mul) totient_one hn]
apply Finsupp.prod_congr _
intro p hp
have h := zero_lt_iff.mpr (Finsupp.mem_support_iff.mp hp)
rw [totient_prime_pow (prime_of_mem_primeFactors hp) h]
#align nat.totient_eq_prod_factorization Nat.totient_eq_prod_factorization
theorem totient_mul_prod_primeFactors (n : ℕ) :
(φ n * ∏ p ∈ n.primeFactors, p) = n * ∏ p ∈ n.primeFactors, (p - 1) := by
by_cases hn : n = 0; · simp [hn]
rw [totient_eq_prod_factorization hn]
nth_rw 3 [← factorization_prod_pow_eq_self hn]
simp only [prod_primeFactors_prod_factorization, ← Finsupp.prod_mul]
refine Finsupp.prod_congr (M := ℕ) (N := ℕ) fun p hp => ?_
rw [Finsupp.mem_support_iff, ← zero_lt_iff] at hp
rw [mul_comm, ← mul_assoc, ← pow_succ', Nat.sub_one, Nat.succ_pred_eq_of_pos hp]
#align nat.totient_mul_prod_factors Nat.totient_mul_prod_primeFactors
theorem totient_eq_div_primeFactors_mul (n : ℕ) :
φ n = (n / ∏ p ∈ n.primeFactors, p) * ∏ p ∈ n.primeFactors, (p - 1) := by
rw [← mul_div_left n.totient, totient_mul_prod_primeFactors, mul_comm,
Nat.mul_div_assoc _ (prod_primeFactors_dvd n), mul_comm]
exact prod_pos (fun p => pos_of_mem_primeFactors)
#align nat.totient_eq_div_factors_mul Nat.totient_eq_div_primeFactors_mul
theorem totient_eq_mul_prod_factors (n : ℕ) :
(φ n : ℚ) = n * ∏ p ∈ n.primeFactors, (1 - (p : ℚ)⁻¹) := by
by_cases hn : n = 0
· simp [hn]
have hn' : (n : ℚ) ≠ 0 := by simp [hn]
have hpQ : (∏ p ∈ n.primeFactors, (p : ℚ)) ≠ 0 := by
rw [← cast_prod, cast_ne_zero, ← zero_lt_iff, prod_primeFactors_prod_factorization]
exact prod_pos fun p hp => pos_of_mem_primeFactors hp
simp only [totient_eq_div_primeFactors_mul n, prod_primeFactors_dvd n, cast_mul, cast_prod,
cast_div_charZero, mul_comm_div, mul_right_inj' hn', div_eq_iff hpQ, ← prod_mul_distrib]
refine prod_congr rfl fun p hp => ?_
have hp := pos_of_mem_factors (List.mem_toFinset.mp hp)
have hp' : (p : ℚ) ≠ 0 := cast_ne_zero.mpr hp.ne.symm
rw [sub_mul, one_mul, mul_comm, mul_inv_cancel hp', cast_pred hp]
#align nat.totient_eq_mul_prod_factors Nat.totient_eq_mul_prod_factors
theorem totient_gcd_mul_totient_mul (a b : ℕ) : φ (a.gcd b) * φ (a * b) = φ a * φ b * a.gcd b := by
have shuffle :
∀ a1 a2 b1 b2 c1 c2 : ℕ,
b1 ∣ a1 → b2 ∣ a2 → a1 / b1 * c1 * (a2 / b2 * c2) = a1 * a2 / (b1 * b2) * (c1 * c2) := by
intro a1 a2 b1 b2 c1 c2 h1 h2
calc
a1 / b1 * c1 * (a2 / b2 * c2) = a1 / b1 * (a2 / b2) * (c1 * c2) := by apply mul_mul_mul_comm
_ = a1 * a2 / (b1 * b2) * (c1 * c2) := by
congr 1
exact div_mul_div_comm h1 h2
simp only [totient_eq_div_primeFactors_mul]
rw [shuffle, shuffle]
rotate_left
repeat' apply prod_primeFactors_dvd
simp only [prod_primeFactors_gcd_mul_prod_primeFactors_mul]
rw [eq_comm, mul_comm, ← mul_assoc, ← Nat.mul_div_assoc]
exact mul_dvd_mul (prod_primeFactors_dvd a) (prod_primeFactors_dvd b)
#align nat.totient_gcd_mul_totient_mul Nat.totient_gcd_mul_totient_mul
theorem totient_super_multiplicative (a b : ℕ) : φ a * φ b ≤ φ (a * b) := by
let d := a.gcd b
rcases (zero_le a).eq_or_lt with (rfl | ha0)
· simp
have hd0 : 0 < d := Nat.gcd_pos_of_pos_left _ ha0
apply le_of_mul_le_mul_right _ hd0
rw [← totient_gcd_mul_totient_mul a b, mul_comm]
apply mul_le_mul_left' (Nat.totient_le d)
#align nat.totient_super_multiplicative Nat.totient_super_multiplicative
| Mathlib/Data/Nat/Totient.lean | 363 | 371 | theorem totient_dvd_of_dvd {a b : ℕ} (h : a ∣ b) : φ a ∣ φ b := by |
rcases eq_or_ne a 0 with (rfl | ha0)
· simp [zero_dvd_iff.1 h]
rcases eq_or_ne b 0 with (rfl | hb0)
· simp
have hab' := primeFactors_mono h hb0
rw [totient_eq_prod_factorization ha0, totient_eq_prod_factorization hb0]
refine Finsupp.prod_dvd_prod_of_subset_of_dvd hab' fun p _ => mul_dvd_mul ?_ dvd_rfl
exact pow_dvd_pow p (tsub_le_tsub_right ((factorization_le_iff_dvd ha0 hb0).2 h p) 1)
|
import Mathlib.Data.Finset.Sort
import Mathlib.Data.Fin.VecNotation
import Mathlib.Data.Sign
import Mathlib.LinearAlgebra.AffineSpace.Combination
import Mathlib.LinearAlgebra.AffineSpace.AffineEquiv
import Mathlib.LinearAlgebra.Basis.VectorSpace
#align_import linear_algebra.affine_space.independent from "leanprover-community/mathlib"@"2de9c37fa71dde2f1c6feff19876dd6a7b1519f0"
noncomputable section
open Finset Function
open scoped Affine
section AffineIndependent
variable (k : Type*) {V : Type*} {P : Type*} [Ring k] [AddCommGroup V] [Module k V]
variable [AffineSpace V P] {ι : Type*}
def AffineIndependent (p : ι → P) : Prop :=
∀ (s : Finset ι) (w : ι → k),
∑ i ∈ s, w i = 0 → s.weightedVSub p w = (0 : V) → ∀ i ∈ s, w i = 0
#align affine_independent AffineIndependent
theorem affineIndependent_def (p : ι → P) :
AffineIndependent k p ↔
∀ (s : Finset ι) (w : ι → k),
∑ i ∈ s, w i = 0 → s.weightedVSub p w = (0 : V) → ∀ i ∈ s, w i = 0 :=
Iff.rfl
#align affine_independent_def affineIndependent_def
theorem affineIndependent_of_subsingleton [Subsingleton ι] (p : ι → P) : AffineIndependent k p :=
fun _ _ h _ i hi => Fintype.eq_of_subsingleton_of_sum_eq h i hi
#align affine_independent_of_subsingleton affineIndependent_of_subsingleton
theorem affineIndependent_iff_of_fintype [Fintype ι] (p : ι → P) :
AffineIndependent k p ↔
∀ w : ι → k, ∑ i, w i = 0 → Finset.univ.weightedVSub p w = (0 : V) → ∀ i, w i = 0 := by
constructor
· exact fun h w hw hs i => h Finset.univ w hw hs i (Finset.mem_univ _)
· intro h s w hw hs i hi
rw [Finset.weightedVSub_indicator_subset _ _ (Finset.subset_univ s)] at hs
rw [← Finset.sum_indicator_subset _ (Finset.subset_univ s)] at hw
replace h := h ((↑s : Set ι).indicator w) hw hs i
simpa [hi] using h
#align affine_independent_iff_of_fintype affineIndependent_iff_of_fintype
theorem affineIndependent_iff_linearIndependent_vsub (p : ι → P) (i1 : ι) :
AffineIndependent k p ↔ LinearIndependent k fun i : { x // x ≠ i1 } => (p i -ᵥ p i1 : V) := by
classical
constructor
· intro h
rw [linearIndependent_iff']
intro s g hg i hi
set f : ι → k := fun x => if hx : x = i1 then -∑ y ∈ s, g y else g ⟨x, hx⟩ with hfdef
let s2 : Finset ι := insert i1 (s.map (Embedding.subtype _))
have hfg : ∀ x : { x // x ≠ i1 }, g x = f x := by
intro x
rw [hfdef]
dsimp only
erw [dif_neg x.property, Subtype.coe_eta]
rw [hfg]
have hf : ∑ ι ∈ s2, f ι = 0 := by
rw [Finset.sum_insert
(Finset.not_mem_map_subtype_of_not_property s (Classical.not_not.2 rfl)),
Finset.sum_subtype_map_embedding fun x _ => (hfg x).symm]
rw [hfdef]
dsimp only
rw [dif_pos rfl]
exact neg_add_self _
have hs2 : s2.weightedVSub p f = (0 : V) := by
set f2 : ι → V := fun x => f x • (p x -ᵥ p i1) with hf2def
set g2 : { x // x ≠ i1 } → V := fun x => g x • (p x -ᵥ p i1)
have hf2g2 : ∀ x : { x // x ≠ i1 }, f2 x = g2 x := by
simp only [g2, hf2def]
refine fun x => ?_
rw [hfg]
rw [Finset.weightedVSub_eq_weightedVSubOfPoint_of_sum_eq_zero s2 f p hf (p i1),
Finset.weightedVSubOfPoint_insert, Finset.weightedVSubOfPoint_apply,
Finset.sum_subtype_map_embedding fun x _ => hf2g2 x]
exact hg
exact h s2 f hf hs2 i (Finset.mem_insert_of_mem (Finset.mem_map.2 ⟨i, hi, rfl⟩))
· intro h
rw [linearIndependent_iff'] at h
intro s w hw hs i hi
rw [Finset.weightedVSub_eq_weightedVSubOfPoint_of_sum_eq_zero s w p hw (p i1), ←
s.weightedVSubOfPoint_erase w p i1, Finset.weightedVSubOfPoint_apply] at hs
let f : ι → V := fun i => w i • (p i -ᵥ p i1)
have hs2 : (∑ i ∈ (s.erase i1).subtype fun i => i ≠ i1, f i) = 0 := by
rw [← hs]
convert Finset.sum_subtype_of_mem f fun x => Finset.ne_of_mem_erase
have h2 := h ((s.erase i1).subtype fun i => i ≠ i1) (fun x => w x) hs2
simp_rw [Finset.mem_subtype] at h2
have h2b : ∀ i ∈ s, i ≠ i1 → w i = 0 := fun i his hi =>
h2 ⟨i, hi⟩ (Finset.mem_erase_of_ne_of_mem hi his)
exact Finset.eq_zero_of_sum_eq_zero hw h2b i hi
#align affine_independent_iff_linear_independent_vsub affineIndependent_iff_linearIndependent_vsub
theorem affineIndependent_set_iff_linearIndependent_vsub {s : Set P} {p₁ : P} (hp₁ : p₁ ∈ s) :
AffineIndependent k (fun p => p : s → P) ↔
LinearIndependent k (fun v => v : (fun p => (p -ᵥ p₁ : V)) '' (s \ {p₁}) → V) := by
rw [affineIndependent_iff_linearIndependent_vsub k (fun p => p : s → P) ⟨p₁, hp₁⟩]
constructor
· intro h
have hv : ∀ v : (fun p => (p -ᵥ p₁ : V)) '' (s \ {p₁}), (v : V) +ᵥ p₁ ∈ s \ {p₁} := fun v =>
(vsub_left_injective p₁).mem_set_image.1 ((vadd_vsub (v : V) p₁).symm ▸ v.property)
let f : (fun p : P => (p -ᵥ p₁ : V)) '' (s \ {p₁}) → { x : s // x ≠ ⟨p₁, hp₁⟩ } := fun x =>
⟨⟨(x : V) +ᵥ p₁, Set.mem_of_mem_diff (hv x)⟩, fun hx =>
Set.not_mem_of_mem_diff (hv x) (Subtype.ext_iff.1 hx)⟩
convert h.comp f fun x1 x2 hx =>
Subtype.ext (vadd_right_cancel p₁ (Subtype.ext_iff.1 (Subtype.ext_iff.1 hx)))
ext v
exact (vadd_vsub (v : V) p₁).symm
· intro h
let f : { x : s // x ≠ ⟨p₁, hp₁⟩ } → (fun p : P => (p -ᵥ p₁ : V)) '' (s \ {p₁}) := fun x =>
⟨((x : s) : P) -ᵥ p₁, ⟨x, ⟨⟨(x : s).property, fun hx => x.property (Subtype.ext hx)⟩, rfl⟩⟩⟩
convert h.comp f fun x1 x2 hx =>
Subtype.ext (Subtype.ext (vsub_left_cancel (Subtype.ext_iff.1 hx)))
#align affine_independent_set_iff_linear_independent_vsub affineIndependent_set_iff_linearIndependent_vsub
theorem linearIndependent_set_iff_affineIndependent_vadd_union_singleton {s : Set V}
(hs : ∀ v ∈ s, v ≠ (0 : V)) (p₁ : P) : LinearIndependent k (fun v => v : s → V) ↔
AffineIndependent k (fun p => p : ({p₁} ∪ (fun v => v +ᵥ p₁) '' s : Set P) → P) := by
rw [affineIndependent_set_iff_linearIndependent_vsub k
(Set.mem_union_left _ (Set.mem_singleton p₁))]
have h : (fun p => (p -ᵥ p₁ : V)) '' (({p₁} ∪ (fun v => v +ᵥ p₁) '' s) \ {p₁}) = s := by
simp_rw [Set.union_diff_left, Set.image_diff (vsub_left_injective p₁), Set.image_image,
Set.image_singleton, vsub_self, vadd_vsub, Set.image_id']
exact Set.diff_singleton_eq_self fun h => hs 0 h rfl
rw [h]
#align linear_independent_set_iff_affine_independent_vadd_union_singleton linearIndependent_set_iff_affineIndependent_vadd_union_singleton
theorem affineIndependent_iff_indicator_eq_of_affineCombination_eq (p : ι → P) :
AffineIndependent k p ↔
∀ (s1 s2 : Finset ι) (w1 w2 : ι → k),
∑ i ∈ s1, w1 i = 1 →
∑ i ∈ s2, w2 i = 1 →
s1.affineCombination k p w1 = s2.affineCombination k p w2 →
Set.indicator (↑s1) w1 = Set.indicator (↑s2) w2 := by
classical
constructor
· intro ha s1 s2 w1 w2 hw1 hw2 heq
ext i
by_cases hi : i ∈ s1 ∪ s2
· rw [← sub_eq_zero]
rw [← Finset.sum_indicator_subset w1 (s1.subset_union_left (s₂:=s2))] at hw1
rw [← Finset.sum_indicator_subset w2 (s1.subset_union_right)] at hw2
have hws : (∑ i ∈ s1 ∪ s2, (Set.indicator (↑s1) w1 - Set.indicator (↑s2) w2) i) = 0 := by
simp [hw1, hw2]
rw [Finset.affineCombination_indicator_subset w1 p (s1.subset_union_left (s₂:=s2)),
Finset.affineCombination_indicator_subset w2 p s1.subset_union_right,
← @vsub_eq_zero_iff_eq V, Finset.affineCombination_vsub] at heq
exact ha (s1 ∪ s2) (Set.indicator (↑s1) w1 - Set.indicator (↑s2) w2) hws heq i hi
· rw [← Finset.mem_coe, Finset.coe_union] at hi
have h₁ : Set.indicator (↑s1) w1 i = 0 := by
simp only [Set.indicator, Finset.mem_coe, ite_eq_right_iff]
intro h
by_contra
exact (mt (@Set.mem_union_left _ i ↑s1 ↑s2) hi) h
have h₂ : Set.indicator (↑s2) w2 i = 0 := by
simp only [Set.indicator, Finset.mem_coe, ite_eq_right_iff]
intro h
by_contra
exact (mt (@Set.mem_union_right _ i ↑s2 ↑s1) hi) h
simp [h₁, h₂]
· intro ha s w hw hs i0 hi0
let w1 : ι → k := Function.update (Function.const ι 0) i0 1
have hw1 : ∑ i ∈ s, w1 i = 1 := by
rw [Finset.sum_update_of_mem hi0]
simp only [Finset.sum_const_zero, add_zero, const_apply]
have hw1s : s.affineCombination k p w1 = p i0 :=
s.affineCombination_of_eq_one_of_eq_zero w1 p hi0 (Function.update_same _ _ _)
fun _ _ hne => Function.update_noteq hne _ _
let w2 := w + w1
have hw2 : ∑ i ∈ s, w2 i = 1 := by
simp_all only [w2, Pi.add_apply, Finset.sum_add_distrib, zero_add]
have hw2s : s.affineCombination k p w2 = p i0 := by
simp_all only [w2, ← Finset.weightedVSub_vadd_affineCombination, zero_vadd]
replace ha := ha s s w2 w1 hw2 hw1 (hw1s.symm ▸ hw2s)
have hws : w2 i0 - w1 i0 = 0 := by
rw [← Finset.mem_coe] at hi0
rw [← Set.indicator_of_mem hi0 w2, ← Set.indicator_of_mem hi0 w1, ha, sub_self]
simpa [w2] using hws
#align affine_independent_iff_indicator_eq_of_affine_combination_eq affineIndependent_iff_indicator_eq_of_affineCombination_eq
theorem affineIndependent_iff_eq_of_fintype_affineCombination_eq [Fintype ι] (p : ι → P) :
AffineIndependent k p ↔ ∀ w1 w2 : ι → k, ∑ i, w1 i = 1 → ∑ i, w2 i = 1 →
Finset.univ.affineCombination k p w1 = Finset.univ.affineCombination k p w2 → w1 = w2 := by
rw [affineIndependent_iff_indicator_eq_of_affineCombination_eq]
constructor
· intro h w1 w2 hw1 hw2 hweq
simpa only [Set.indicator_univ, Finset.coe_univ] using h _ _ w1 w2 hw1 hw2 hweq
· intro h s1 s2 w1 w2 hw1 hw2 hweq
have hw1' : (∑ i, (s1 : Set ι).indicator w1 i) = 1 := by
rwa [Finset.sum_indicator_subset _ (Finset.subset_univ s1)]
have hw2' : (∑ i, (s2 : Set ι).indicator w2 i) = 1 := by
rwa [Finset.sum_indicator_subset _ (Finset.subset_univ s2)]
rw [Finset.affineCombination_indicator_subset w1 p (Finset.subset_univ s1),
Finset.affineCombination_indicator_subset w2 p (Finset.subset_univ s2)] at hweq
exact h _ _ hw1' hw2' hweq
#align affine_independent_iff_eq_of_fintype_affine_combination_eq affineIndependent_iff_eq_of_fintype_affineCombination_eq
variable {k}
theorem AffineIndependent.units_lineMap {p : ι → P} (hp : AffineIndependent k p) (j : ι)
(w : ι → Units k) : AffineIndependent k fun i => AffineMap.lineMap (p j) (p i) (w i : k) := by
rw [affineIndependent_iff_linearIndependent_vsub k _ j] at hp ⊢
simp only [AffineMap.lineMap_vsub_left, AffineMap.coe_const, AffineMap.lineMap_same, const_apply]
exact hp.units_smul fun i => w i
#align affine_independent.units_line_map AffineIndependent.units_lineMap
theorem AffineIndependent.indicator_eq_of_affineCombination_eq {p : ι → P}
(ha : AffineIndependent k p) (s₁ s₂ : Finset ι) (w₁ w₂ : ι → k) (hw₁ : ∑ i ∈ s₁, w₁ i = 1)
(hw₂ : ∑ i ∈ s₂, w₂ i = 1) (h : s₁.affineCombination k p w₁ = s₂.affineCombination k p w₂) :
Set.indicator (↑s₁) w₁ = Set.indicator (↑s₂) w₂ :=
(affineIndependent_iff_indicator_eq_of_affineCombination_eq k p).1 ha s₁ s₂ w₁ w₂ hw₁ hw₂ h
#align affine_independent.indicator_eq_of_affine_combination_eq AffineIndependent.indicator_eq_of_affineCombination_eq
protected theorem AffineIndependent.injective [Nontrivial k] {p : ι → P}
(ha : AffineIndependent k p) : Function.Injective p := by
intro i j hij
rw [affineIndependent_iff_linearIndependent_vsub _ _ j] at ha
by_contra hij'
refine ha.ne_zero ⟨i, hij'⟩ (vsub_eq_zero_iff_eq.mpr ?_)
simp_all only [ne_eq]
#align affine_independent.injective AffineIndependent.injective
theorem AffineIndependent.comp_embedding {ι2 : Type*} (f : ι2 ↪ ι) {p : ι → P}
(ha : AffineIndependent k p) : AffineIndependent k (p ∘ f) := by
classical
intro fs w hw hs i0 hi0
let fs' := fs.map f
let w' i := if h : ∃ i2, f i2 = i then w h.choose else 0
have hw' : ∀ i2 : ι2, w' (f i2) = w i2 := by
intro i2
have h : ∃ i : ι2, f i = f i2 := ⟨i2, rfl⟩
have hs : h.choose = i2 := f.injective h.choose_spec
simp_rw [w', dif_pos h, hs]
have hw's : ∑ i ∈ fs', w' i = 0 := by
rw [← hw, Finset.sum_map]
simp [hw']
have hs' : fs'.weightedVSub p w' = (0 : V) := by
rw [← hs, Finset.weightedVSub_map]
congr with i
simp_all only [comp_apply, EmbeddingLike.apply_eq_iff_eq, exists_eq, dite_true]
rw [← ha fs' w' hw's hs' (f i0) ((Finset.mem_map' _).2 hi0), hw']
#align affine_independent.comp_embedding AffineIndependent.comp_embedding
protected theorem AffineIndependent.subtype {p : ι → P} (ha : AffineIndependent k p) (s : Set ι) :
AffineIndependent k fun i : s => p i :=
ha.comp_embedding (Embedding.subtype _)
#align affine_independent.subtype AffineIndependent.subtype
protected theorem AffineIndependent.range {p : ι → P} (ha : AffineIndependent k p) :
AffineIndependent k (fun x => x : Set.range p → P) := by
let f : Set.range p → ι := fun x => x.property.choose
have hf : ∀ x, p (f x) = x := fun x => x.property.choose_spec
let fe : Set.range p ↪ ι := ⟨f, fun x₁ x₂ he => Subtype.ext (hf x₁ ▸ hf x₂ ▸ he ▸ rfl)⟩
convert ha.comp_embedding fe
ext
simp [fe, hf]
#align affine_independent.range AffineIndependent.range
theorem affineIndependent_equiv {ι' : Type*} (e : ι ≃ ι') {p : ι' → P} :
AffineIndependent k (p ∘ e) ↔ AffineIndependent k p := by
refine ⟨?_, AffineIndependent.comp_embedding e.toEmbedding⟩
intro h
have : p = p ∘ e ∘ e.symm.toEmbedding := by
ext
simp
rw [this]
exact h.comp_embedding e.symm.toEmbedding
#align affine_independent_equiv affineIndependent_equiv
protected theorem AffineIndependent.mono {s t : Set P}
(ha : AffineIndependent k (fun x => x : t → P)) (hs : s ⊆ t) :
AffineIndependent k (fun x => x : s → P) :=
ha.comp_embedding (s.embeddingOfSubset t hs)
#align affine_independent.mono AffineIndependent.mono
theorem AffineIndependent.of_set_of_injective {p : ι → P}
(ha : AffineIndependent k (fun x => x : Set.range p → P)) (hi : Function.Injective p) :
AffineIndependent k p :=
ha.comp_embedding
(⟨fun i => ⟨p i, Set.mem_range_self _⟩, fun _ _ h => hi (Subtype.mk_eq_mk.1 h)⟩ :
ι ↪ Set.range p)
#align affine_independent.of_set_of_injective AffineIndependent.of_set_of_injective
theorem AffineIndependent.exists_mem_inter_of_exists_mem_inter_affineSpan [Nontrivial k] {p : ι → P}
(ha : AffineIndependent k p) {s1 s2 : Set ι} {p0 : P} (hp0s1 : p0 ∈ affineSpan k (p '' s1))
(hp0s2 : p0 ∈ affineSpan k (p '' s2)) : ∃ i : ι, i ∈ s1 ∩ s2 := by
rw [Set.image_eq_range] at hp0s1 hp0s2
rw [mem_affineSpan_iff_eq_affineCombination, ←
Finset.eq_affineCombination_subset_iff_eq_affineCombination_subtype] at hp0s1 hp0s2
rcases hp0s1 with ⟨fs1, hfs1, w1, hw1, hp0s1⟩
rcases hp0s2 with ⟨fs2, hfs2, w2, hw2, hp0s2⟩
rw [affineIndependent_iff_indicator_eq_of_affineCombination_eq] at ha
replace ha := ha fs1 fs2 w1 w2 hw1 hw2 (hp0s1 ▸ hp0s2)
have hnz : ∑ i ∈ fs1, w1 i ≠ 0 := hw1.symm ▸ one_ne_zero
rcases Finset.exists_ne_zero_of_sum_ne_zero hnz with ⟨i, hifs1, hinz⟩
simp_rw [← Set.indicator_of_mem (Finset.mem_coe.2 hifs1) w1, ha] at hinz
use i, hfs1 hifs1
exact hfs2 (Set.mem_of_indicator_ne_zero hinz)
#align affine_independent.exists_mem_inter_of_exists_mem_inter_affine_span AffineIndependent.exists_mem_inter_of_exists_mem_inter_affineSpan
theorem AffineIndependent.affineSpan_disjoint_of_disjoint [Nontrivial k] {p : ι → P}
(ha : AffineIndependent k p) {s1 s2 : Set ι} (hd : Disjoint s1 s2) :
Disjoint (affineSpan k (p '' s1) : Set P) (affineSpan k (p '' s2)) := by
refine Set.disjoint_left.2 fun p0 hp0s1 hp0s2 => ?_
cases' ha.exists_mem_inter_of_exists_mem_inter_affineSpan hp0s1 hp0s2 with i hi
exact Set.disjoint_iff.1 hd hi
#align affine_independent.affine_span_disjoint_of_disjoint AffineIndependent.affineSpan_disjoint_of_disjoint
@[simp]
protected theorem AffineIndependent.mem_affineSpan_iff [Nontrivial k] {p : ι → P}
(ha : AffineIndependent k p) (i : ι) (s : Set ι) : p i ∈ affineSpan k (p '' s) ↔ i ∈ s := by
constructor
· intro hs
have h :=
AffineIndependent.exists_mem_inter_of_exists_mem_inter_affineSpan ha hs
(mem_affineSpan k (Set.mem_image_of_mem _ (Set.mem_singleton _)))
rwa [← Set.nonempty_def, Set.inter_singleton_nonempty] at h
· exact fun h => mem_affineSpan k (Set.mem_image_of_mem p h)
#align affine_independent.mem_affine_span_iff AffineIndependent.mem_affineSpan_iff
| Mathlib/LinearAlgebra/AffineSpace/Independent.lean | 460 | 462 | theorem AffineIndependent.not_mem_affineSpan_diff [Nontrivial k] {p : ι → P}
(ha : AffineIndependent k p) (i : ι) (s : Set ι) : p i ∉ affineSpan k (p '' (s \ {i})) := by |
simp [ha]
|
import Mathlib.Analysis.SpecialFunctions.Trigonometric.Angle
import Mathlib.Analysis.SpecialFunctions.Trigonometric.Inverse
#align_import analysis.special_functions.complex.arg from "leanprover-community/mathlib"@"2c1d8ca2812b64f88992a5294ea3dba144755cd1"
open Filter Metric Set
open scoped ComplexConjugate Real Topology
namespace Complex
variable {a x z : ℂ}
noncomputable def arg (x : ℂ) : ℝ :=
if 0 ≤ x.re then Real.arcsin (x.im / abs x)
else if 0 ≤ x.im then Real.arcsin ((-x).im / abs x) + π else Real.arcsin ((-x).im / abs x) - π
#align complex.arg Complex.arg
theorem sin_arg (x : ℂ) : Real.sin (arg x) = x.im / abs x := by
unfold arg; split_ifs <;>
simp [sub_eq_add_neg, arg,
Real.sin_arcsin (abs_le.1 (abs_im_div_abs_le_one x)).1 (abs_le.1 (abs_im_div_abs_le_one x)).2,
Real.sin_add, neg_div, Real.arcsin_neg, Real.sin_neg]
#align complex.sin_arg Complex.sin_arg
theorem cos_arg {x : ℂ} (hx : x ≠ 0) : Real.cos (arg x) = x.re / abs x := by
rw [arg]
split_ifs with h₁ h₂
· rw [Real.cos_arcsin]
field_simp [Real.sqrt_sq, (abs.pos hx).le, *]
· rw [Real.cos_add_pi, Real.cos_arcsin]
field_simp [Real.sqrt_div (sq_nonneg _), Real.sqrt_sq_eq_abs,
_root_.abs_of_neg (not_le.1 h₁), *]
· rw [Real.cos_sub_pi, Real.cos_arcsin]
field_simp [Real.sqrt_div (sq_nonneg _), Real.sqrt_sq_eq_abs,
_root_.abs_of_neg (not_le.1 h₁), *]
#align complex.cos_arg Complex.cos_arg
@[simp]
theorem abs_mul_exp_arg_mul_I (x : ℂ) : ↑(abs x) * exp (arg x * I) = x := by
rcases eq_or_ne x 0 with (rfl | hx)
· simp
· have : abs x ≠ 0 := abs.ne_zero hx
apply Complex.ext <;> field_simp [sin_arg, cos_arg hx, this, mul_comm (abs x)]
set_option linter.uppercaseLean3 false in
#align complex.abs_mul_exp_arg_mul_I Complex.abs_mul_exp_arg_mul_I
@[simp]
theorem abs_mul_cos_add_sin_mul_I (x : ℂ) : (abs x * (cos (arg x) + sin (arg x) * I) : ℂ) = x := by
rw [← exp_mul_I, abs_mul_exp_arg_mul_I]
set_option linter.uppercaseLean3 false in
#align complex.abs_mul_cos_add_sin_mul_I Complex.abs_mul_cos_add_sin_mul_I
@[simp]
lemma abs_mul_cos_arg (x : ℂ) : abs x * Real.cos (arg x) = x.re := by
simpa [-abs_mul_cos_add_sin_mul_I] using congr_arg re (abs_mul_cos_add_sin_mul_I x)
@[simp]
lemma abs_mul_sin_arg (x : ℂ) : abs x * Real.sin (arg x) = x.im := by
simpa [-abs_mul_cos_add_sin_mul_I] using congr_arg im (abs_mul_cos_add_sin_mul_I x)
theorem abs_eq_one_iff (z : ℂ) : abs z = 1 ↔ ∃ θ : ℝ, exp (θ * I) = z := by
refine ⟨fun hz => ⟨arg z, ?_⟩, ?_⟩
· calc
exp (arg z * I) = abs z * exp (arg z * I) := by rw [hz, ofReal_one, one_mul]
_ = z := abs_mul_exp_arg_mul_I z
· rintro ⟨θ, rfl⟩
exact Complex.abs_exp_ofReal_mul_I θ
#align complex.abs_eq_one_iff Complex.abs_eq_one_iff
@[simp]
theorem range_exp_mul_I : (Set.range fun x : ℝ => exp (x * I)) = Metric.sphere 0 1 := by
ext x
simp only [mem_sphere_zero_iff_norm, norm_eq_abs, abs_eq_one_iff, Set.mem_range]
set_option linter.uppercaseLean3 false in
#align complex.range_exp_mul_I Complex.range_exp_mul_I
theorem arg_mul_cos_add_sin_mul_I {r : ℝ} (hr : 0 < r) {θ : ℝ} (hθ : θ ∈ Set.Ioc (-π) π) :
arg (r * (cos θ + sin θ * I)) = θ := by
simp only [arg, map_mul, abs_cos_add_sin_mul_I, abs_of_nonneg hr.le, mul_one]
simp only [re_ofReal_mul, im_ofReal_mul, neg_im, ← ofReal_cos, ← ofReal_sin, ←
mk_eq_add_mul_I, neg_div, mul_div_cancel_left₀ _ hr.ne', mul_nonneg_iff_right_nonneg_of_pos hr]
by_cases h₁ : θ ∈ Set.Icc (-(π / 2)) (π / 2)
· rw [if_pos]
exacts [Real.arcsin_sin' h₁, Real.cos_nonneg_of_mem_Icc h₁]
· rw [Set.mem_Icc, not_and_or, not_le, not_le] at h₁
cases' h₁ with h₁ h₁
· replace hθ := hθ.1
have hcos : Real.cos θ < 0 := by
rw [← neg_pos, ← Real.cos_add_pi]
refine Real.cos_pos_of_mem_Ioo ⟨?_, ?_⟩ <;> linarith
have hsin : Real.sin θ < 0 := Real.sin_neg_of_neg_of_neg_pi_lt (by linarith) hθ
rw [if_neg, if_neg, ← Real.sin_add_pi, Real.arcsin_sin, add_sub_cancel_right] <;> [linarith;
linarith; exact hsin.not_le; exact hcos.not_le]
· replace hθ := hθ.2
have hcos : Real.cos θ < 0 := Real.cos_neg_of_pi_div_two_lt_of_lt h₁ (by linarith)
have hsin : 0 ≤ Real.sin θ := Real.sin_nonneg_of_mem_Icc ⟨by linarith, hθ⟩
rw [if_neg, if_pos, ← Real.sin_sub_pi, Real.arcsin_sin, sub_add_cancel] <;> [linarith;
linarith; exact hsin; exact hcos.not_le]
set_option linter.uppercaseLean3 false in
#align complex.arg_mul_cos_add_sin_mul_I Complex.arg_mul_cos_add_sin_mul_I
theorem arg_cos_add_sin_mul_I {θ : ℝ} (hθ : θ ∈ Set.Ioc (-π) π) : arg (cos θ + sin θ * I) = θ := by
rw [← one_mul (_ + _), ← ofReal_one, arg_mul_cos_add_sin_mul_I zero_lt_one hθ]
set_option linter.uppercaseLean3 false in
#align complex.arg_cos_add_sin_mul_I Complex.arg_cos_add_sin_mul_I
lemma arg_exp_mul_I (θ : ℝ) :
arg (exp (θ * I)) = toIocMod (mul_pos two_pos Real.pi_pos) (-π) θ := by
convert arg_cos_add_sin_mul_I (θ := toIocMod (mul_pos two_pos Real.pi_pos) (-π) θ) _ using 2
· rw [← exp_mul_I, eq_sub_of_add_eq $ toIocMod_add_toIocDiv_zsmul _ _ θ, ofReal_sub,
ofReal_zsmul, ofReal_mul, ofReal_ofNat, exp_mul_I_periodic.sub_zsmul_eq]
· convert toIocMod_mem_Ioc _ _ _
ring
@[simp]
theorem arg_zero : arg 0 = 0 := by simp [arg, le_refl]
#align complex.arg_zero Complex.arg_zero
theorem ext_abs_arg {x y : ℂ} (h₁ : abs x = abs y) (h₂ : x.arg = y.arg) : x = y := by
rw [← abs_mul_exp_arg_mul_I x, ← abs_mul_exp_arg_mul_I y, h₁, h₂]
#align complex.ext_abs_arg Complex.ext_abs_arg
theorem ext_abs_arg_iff {x y : ℂ} : x = y ↔ abs x = abs y ∧ arg x = arg y :=
⟨fun h => h ▸ ⟨rfl, rfl⟩, and_imp.2 ext_abs_arg⟩
#align complex.ext_abs_arg_iff Complex.ext_abs_arg_iff
theorem arg_mem_Ioc (z : ℂ) : arg z ∈ Set.Ioc (-π) π := by
have hπ : 0 < π := Real.pi_pos
rcases eq_or_ne z 0 with (rfl | hz)
· simp [hπ, hπ.le]
rcases existsUnique_add_zsmul_mem_Ioc Real.two_pi_pos (arg z) (-π) with ⟨N, hN, -⟩
rw [two_mul, neg_add_cancel_left, ← two_mul, zsmul_eq_mul] at hN
rw [← abs_mul_cos_add_sin_mul_I z, ← cos_add_int_mul_two_pi _ N, ← sin_add_int_mul_two_pi _ N]
have := arg_mul_cos_add_sin_mul_I (abs.pos hz) hN
push_cast at this
rwa [this]
#align complex.arg_mem_Ioc Complex.arg_mem_Ioc
@[simp]
theorem range_arg : Set.range arg = Set.Ioc (-π) π :=
(Set.range_subset_iff.2 arg_mem_Ioc).antisymm fun _ hx => ⟨_, arg_cos_add_sin_mul_I hx⟩
#align complex.range_arg Complex.range_arg
theorem arg_le_pi (x : ℂ) : arg x ≤ π :=
(arg_mem_Ioc x).2
#align complex.arg_le_pi Complex.arg_le_pi
theorem neg_pi_lt_arg (x : ℂ) : -π < arg x :=
(arg_mem_Ioc x).1
#align complex.neg_pi_lt_arg Complex.neg_pi_lt_arg
theorem abs_arg_le_pi (z : ℂ) : |arg z| ≤ π :=
abs_le.2 ⟨(neg_pi_lt_arg z).le, arg_le_pi z⟩
#align complex.abs_arg_le_pi Complex.abs_arg_le_pi
@[simp]
theorem arg_nonneg_iff {z : ℂ} : 0 ≤ arg z ↔ 0 ≤ z.im := by
rcases eq_or_ne z 0 with (rfl | h₀); · simp
calc
0 ≤ arg z ↔ 0 ≤ Real.sin (arg z) :=
⟨fun h => Real.sin_nonneg_of_mem_Icc ⟨h, arg_le_pi z⟩, by
contrapose!
intro h
exact Real.sin_neg_of_neg_of_neg_pi_lt h (neg_pi_lt_arg _)⟩
_ ↔ _ := by rw [sin_arg, le_div_iff (abs.pos h₀), zero_mul]
#align complex.arg_nonneg_iff Complex.arg_nonneg_iff
@[simp]
theorem arg_neg_iff {z : ℂ} : arg z < 0 ↔ z.im < 0 :=
lt_iff_lt_of_le_iff_le arg_nonneg_iff
#align complex.arg_neg_iff Complex.arg_neg_iff
theorem arg_real_mul (x : ℂ) {r : ℝ} (hr : 0 < r) : arg (r * x) = arg x := by
rcases eq_or_ne x 0 with (rfl | hx); · rw [mul_zero]
conv_lhs =>
rw [← abs_mul_cos_add_sin_mul_I x, ← mul_assoc, ← ofReal_mul,
arg_mul_cos_add_sin_mul_I (mul_pos hr (abs.pos hx)) x.arg_mem_Ioc]
#align complex.arg_real_mul Complex.arg_real_mul
theorem arg_mul_real {r : ℝ} (hr : 0 < r) (x : ℂ) : arg (x * r) = arg x :=
mul_comm x r ▸ arg_real_mul x hr
theorem arg_eq_arg_iff {x y : ℂ} (hx : x ≠ 0) (hy : y ≠ 0) :
arg x = arg y ↔ (abs y / abs x : ℂ) * x = y := by
simp only [ext_abs_arg_iff, map_mul, map_div₀, abs_ofReal, abs_abs,
div_mul_cancel₀ _ (abs.ne_zero hx), eq_self_iff_true, true_and_iff]
rw [← ofReal_div, arg_real_mul]
exact div_pos (abs.pos hy) (abs.pos hx)
#align complex.arg_eq_arg_iff Complex.arg_eq_arg_iff
@[simp]
theorem arg_one : arg 1 = 0 := by simp [arg, zero_le_one]
#align complex.arg_one Complex.arg_one
@[simp]
theorem arg_neg_one : arg (-1) = π := by simp [arg, le_refl, not_le.2 (zero_lt_one' ℝ)]
#align complex.arg_neg_one Complex.arg_neg_one
@[simp]
theorem arg_I : arg I = π / 2 := by simp [arg, le_refl]
set_option linter.uppercaseLean3 false in
#align complex.arg_I Complex.arg_I
@[simp]
theorem arg_neg_I : arg (-I) = -(π / 2) := by simp [arg, le_refl]
set_option linter.uppercaseLean3 false in
#align complex.arg_neg_I Complex.arg_neg_I
@[simp]
theorem tan_arg (x : ℂ) : Real.tan (arg x) = x.im / x.re := by
by_cases h : x = 0
· simp only [h, zero_div, Complex.zero_im, Complex.arg_zero, Real.tan_zero, Complex.zero_re]
rw [Real.tan_eq_sin_div_cos, sin_arg, cos_arg h, div_div_div_cancel_right _ (abs.ne_zero h)]
#align complex.tan_arg Complex.tan_arg
theorem arg_ofReal_of_nonneg {x : ℝ} (hx : 0 ≤ x) : arg x = 0 := by simp [arg, hx]
#align complex.arg_of_real_of_nonneg Complex.arg_ofReal_of_nonneg
@[simp, norm_cast]
lemma natCast_arg {n : ℕ} : arg n = 0 :=
ofReal_natCast n ▸ arg_ofReal_of_nonneg n.cast_nonneg
@[simp]
lemma ofNat_arg {n : ℕ} [n.AtLeastTwo] : arg (no_index (OfNat.ofNat n)) = 0 :=
natCast_arg
theorem arg_eq_zero_iff {z : ℂ} : arg z = 0 ↔ 0 ≤ z.re ∧ z.im = 0 := by
refine ⟨fun h => ?_, ?_⟩
· rw [← abs_mul_cos_add_sin_mul_I z, h]
simp [abs.nonneg]
· cases' z with x y
rintro ⟨h, rfl : y = 0⟩
exact arg_ofReal_of_nonneg h
#align complex.arg_eq_zero_iff Complex.arg_eq_zero_iff
open ComplexOrder in
lemma arg_eq_zero_iff_zero_le {z : ℂ} : arg z = 0 ↔ 0 ≤ z := by
rw [arg_eq_zero_iff, eq_comm, nonneg_iff]
theorem arg_eq_pi_iff {z : ℂ} : arg z = π ↔ z.re < 0 ∧ z.im = 0 := by
by_cases h₀ : z = 0
· simp [h₀, lt_irrefl, Real.pi_ne_zero.symm]
constructor
· intro h
rw [← abs_mul_cos_add_sin_mul_I z, h]
simp [h₀]
· cases' z with x y
rintro ⟨h : x < 0, rfl : y = 0⟩
rw [← arg_neg_one, ← arg_real_mul (-1) (neg_pos.2 h)]
simp [← ofReal_def]
#align complex.arg_eq_pi_iff Complex.arg_eq_pi_iff
open ComplexOrder in
lemma arg_eq_pi_iff_lt_zero {z : ℂ} : arg z = π ↔ z < 0 := arg_eq_pi_iff
theorem arg_lt_pi_iff {z : ℂ} : arg z < π ↔ 0 ≤ z.re ∨ z.im ≠ 0 := by
rw [(arg_le_pi z).lt_iff_ne, not_iff_comm, not_or, not_le, Classical.not_not, arg_eq_pi_iff]
#align complex.arg_lt_pi_iff Complex.arg_lt_pi_iff
theorem arg_ofReal_of_neg {x : ℝ} (hx : x < 0) : arg x = π :=
arg_eq_pi_iff.2 ⟨hx, rfl⟩
#align complex.arg_of_real_of_neg Complex.arg_ofReal_of_neg
theorem arg_eq_pi_div_two_iff {z : ℂ} : arg z = π / 2 ↔ z.re = 0 ∧ 0 < z.im := by
by_cases h₀ : z = 0; · simp [h₀, lt_irrefl, Real.pi_div_two_pos.ne]
constructor
· intro h
rw [← abs_mul_cos_add_sin_mul_I z, h]
simp [h₀]
· cases' z with x y
rintro ⟨rfl : x = 0, hy : 0 < y⟩
rw [← arg_I, ← arg_real_mul I hy, ofReal_mul', I_re, I_im, mul_zero, mul_one]
#align complex.arg_eq_pi_div_two_iff Complex.arg_eq_pi_div_two_iff
theorem arg_eq_neg_pi_div_two_iff {z : ℂ} : arg z = -(π / 2) ↔ z.re = 0 ∧ z.im < 0 := by
by_cases h₀ : z = 0; · simp [h₀, lt_irrefl, Real.pi_ne_zero]
constructor
· intro h
rw [← abs_mul_cos_add_sin_mul_I z, h]
simp [h₀]
· cases' z with x y
rintro ⟨rfl : x = 0, hy : y < 0⟩
rw [← arg_neg_I, ← arg_real_mul (-I) (neg_pos.2 hy), mk_eq_add_mul_I]
simp
#align complex.arg_eq_neg_pi_div_two_iff Complex.arg_eq_neg_pi_div_two_iff
theorem arg_of_re_nonneg {x : ℂ} (hx : 0 ≤ x.re) : arg x = Real.arcsin (x.im / abs x) :=
if_pos hx
#align complex.arg_of_re_nonneg Complex.arg_of_re_nonneg
theorem arg_of_re_neg_of_im_nonneg {x : ℂ} (hx_re : x.re < 0) (hx_im : 0 ≤ x.im) :
arg x = Real.arcsin ((-x).im / abs x) + π := by
simp only [arg, hx_re.not_le, hx_im, if_true, if_false]
#align complex.arg_of_re_neg_of_im_nonneg Complex.arg_of_re_neg_of_im_nonneg
theorem arg_of_re_neg_of_im_neg {x : ℂ} (hx_re : x.re < 0) (hx_im : x.im < 0) :
arg x = Real.arcsin ((-x).im / abs x) - π := by
simp only [arg, hx_re.not_le, hx_im.not_le, if_false]
#align complex.arg_of_re_neg_of_im_neg Complex.arg_of_re_neg_of_im_neg
theorem arg_of_im_nonneg_of_ne_zero {z : ℂ} (h₁ : 0 ≤ z.im) (h₂ : z ≠ 0) :
arg z = Real.arccos (z.re / abs z) := by
rw [← cos_arg h₂, Real.arccos_cos (arg_nonneg_iff.2 h₁) (arg_le_pi _)]
#align complex.arg_of_im_nonneg_of_ne_zero Complex.arg_of_im_nonneg_of_ne_zero
theorem arg_of_im_pos {z : ℂ} (hz : 0 < z.im) : arg z = Real.arccos (z.re / abs z) :=
arg_of_im_nonneg_of_ne_zero hz.le fun h => hz.ne' <| h.symm ▸ rfl
#align complex.arg_of_im_pos Complex.arg_of_im_pos
| Mathlib/Analysis/SpecialFunctions/Complex/Arg.lean | 327 | 330 | theorem arg_of_im_neg {z : ℂ} (hz : z.im < 0) : arg z = -Real.arccos (z.re / abs z) := by |
have h₀ : z ≠ 0 := mt (congr_arg im) hz.ne
rw [← cos_arg h₀, ← Real.cos_neg, Real.arccos_cos, neg_neg]
exacts [neg_nonneg.2 (arg_neg_iff.2 hz).le, neg_le.2 (neg_pi_lt_arg z).le]
|
import Mathlib.CategoryTheory.Sites.Coherent.Comparison
import Mathlib.CategoryTheory.Sites.Coherent.ExtensiveSheaves
import Mathlib.CategoryTheory.Sites.Coherent.ReflectsPrecoherent
import Mathlib.CategoryTheory.Sites.Coherent.ReflectsPreregular
import Mathlib.CategoryTheory.Sites.InducedTopology
import Mathlib.CategoryTheory.Sites.Whiskering
universe v₁ v₂ v₃ v₄ u₁ u₂ u₃ u₄
namespace CategoryTheory
open Limits Functor regularTopology
variable {C D : Type*} [Category C] [Category D] (F : C ⥤ D)
namespace coherentTopology
variable [F.PreservesFiniteEffectiveEpiFamilies] [F.ReflectsFiniteEffectiveEpiFamilies]
[F.Full] [F.Faithful] [F.EffectivelyEnough] [Precoherent D]
instance : F.IsCoverDense (coherentTopology _) := by
refine F.isCoverDense_of_generate_singleton_functor_π_mem _ fun B ↦ ⟨_, F.effectiveEpiOver B, ?_⟩
apply Coverage.saturate.of
refine ⟨Unit, inferInstance, fun _ => F.effectiveEpiOverObj B,
fun _ => F.effectiveEpiOver B, ?_ , ?_⟩
· funext; ext -- Do we want `Presieve.ext`?
refine ⟨fun ⟨⟩ ↦ ⟨()⟩, ?_⟩
rintro ⟨⟩
simp
· rw [← effectiveEpi_iff_effectiveEpiFamily]
infer_instance
| Mathlib/CategoryTheory/Sites/Coherent/SheafComparison.lean | 55 | 76 | theorem exists_effectiveEpiFamily_iff_mem_induced (X : C) (S : Sieve X) :
(∃ (α : Type) (_ : Finite α) (Y : α → C) (π : (a : α) → (Y a ⟶ X)),
EffectiveEpiFamily Y π ∧ (∀ a : α, (S.arrows) (π a)) ) ↔
(S ∈ F.inducedTopologyOfIsCoverDense (coherentTopology _) X) := by |
refine ⟨fun ⟨α, _, Y, π, ⟨H₁, H₂⟩⟩ ↦ ?_, fun hS ↦ ?_⟩
· apply (mem_sieves_iff_hasEffectiveEpiFamily (Sieve.functorPushforward _ S)).mpr
refine ⟨α, inferInstance, fun i => F.obj (Y i),
fun i => F.map (π i), ⟨?_,
fun a => Sieve.image_mem_functorPushforward F S (H₂ a)⟩⟩
exact F.map_finite_effectiveEpiFamily _ _
· obtain ⟨α, _, Y, π, ⟨H₁, H₂⟩⟩ := (mem_sieves_iff_hasEffectiveEpiFamily _).mp hS
refine ⟨α, inferInstance, ?_⟩
let Z : α → C := fun a ↦ (Functor.EffectivelyEnough.presentation (F := F) (Y a)).some.p
let g₀ : (a : α) → F.obj (Z a) ⟶ Y a := fun a ↦ F.effectiveEpiOver (Y a)
have : EffectiveEpiFamily _ (fun a ↦ g₀ a ≫ π a) := inferInstance
refine ⟨Z , fun a ↦ F.preimage (g₀ a ≫ π a), ?_, fun a ↦ (?_ : S.arrows (F.preimage _))⟩
· refine F.finite_effectiveEpiFamily_of_map _ _ ?_
simpa using this
· obtain ⟨W, g₁, g₂, h₁, h₂⟩ := H₂ a
rw [h₂]
convert S.downward_closed h₁ (F.preimage (g₀ a ≫ g₂))
exact F.map_injective (by simp)
|
import Mathlib.Algebra.Order.Invertible
import Mathlib.Algebra.Order.Module.OrderedSMul
import Mathlib.LinearAlgebra.AffineSpace.Midpoint
import Mathlib.LinearAlgebra.Ray
import Mathlib.Tactic.GCongr
#align_import analysis.convex.segment from "leanprover-community/mathlib"@"c5773405394e073885e2a144c9ca14637e8eb963"
variable {𝕜 E F G ι : Type*} {π : ι → Type*}
open Function Set
open Pointwise Convex
section OrderedSemiring
variable [OrderedSemiring 𝕜] [AddCommMonoid E]
section SMul
variable (𝕜) [SMul 𝕜 E] {s : Set E} {x y : E}
def segment (x y : E) : Set E :=
{ z : E | ∃ a b : 𝕜, 0 ≤ a ∧ 0 ≤ b ∧ a + b = 1 ∧ a • x + b • y = z }
#align segment segment
def openSegment (x y : E) : Set E :=
{ z : E | ∃ a b : 𝕜, 0 < a ∧ 0 < b ∧ a + b = 1 ∧ a • x + b • y = z }
#align open_segment openSegment
@[inherit_doc] scoped[Convex] notation (priority := high) "[" x "-[" 𝕜 "]" y "]" => segment 𝕜 x y
| Mathlib/Analysis/Convex/Segment.lean | 62 | 65 | theorem segment_eq_image₂ (x y : E) :
[x -[𝕜] y] =
(fun p : 𝕜 × 𝕜 => p.1 • x + p.2 • y) '' { p | 0 ≤ p.1 ∧ 0 ≤ p.2 ∧ p.1 + p.2 = 1 } := by |
simp only [segment, image, Prod.exists, mem_setOf_eq, exists_prop, and_assoc]
|
import Mathlib.Algebra.Group.Submonoid.Operations
import Mathlib.Algebra.Star.SelfAdjoint
#align_import algebra.star.unitary from "leanprover-community/mathlib"@"247a102b14f3cebfee126293341af5f6bed00237"
def unitary (R : Type*) [Monoid R] [StarMul R] : Submonoid R where
carrier := { U | star U * U = 1 ∧ U * star U = 1 }
one_mem' := by simp only [mul_one, and_self_iff, Set.mem_setOf_eq, star_one]
mul_mem' := @fun U B ⟨hA₁, hA₂⟩ ⟨hB₁, hB₂⟩ => by
refine ⟨?_, ?_⟩
· calc
star (U * B) * (U * B) = star B * star U * U * B := by simp only [mul_assoc, star_mul]
_ = star B * (star U * U) * B := by rw [← mul_assoc]
_ = 1 := by rw [hA₁, mul_one, hB₁]
· calc
U * B * star (U * B) = U * B * (star B * star U) := by rw [star_mul]
_ = U * (B * star B) * star U := by simp_rw [← mul_assoc]
_ = 1 := by rw [hB₂, mul_one, hA₂]
#align unitary unitary
variable {R : Type*}
namespace unitary
section Monoid
variable [Monoid R] [StarMul R]
theorem mem_iff {U : R} : U ∈ unitary R ↔ star U * U = 1 ∧ U * star U = 1 :=
Iff.rfl
#align unitary.mem_iff unitary.mem_iff
@[simp]
theorem star_mul_self_of_mem {U : R} (hU : U ∈ unitary R) : star U * U = 1 :=
hU.1
#align unitary.star_mul_self_of_mem unitary.star_mul_self_of_mem
@[simp]
theorem mul_star_self_of_mem {U : R} (hU : U ∈ unitary R) : U * star U = 1 :=
hU.2
#align unitary.mul_star_self_of_mem unitary.mul_star_self_of_mem
theorem star_mem {U : R} (hU : U ∈ unitary R) : star U ∈ unitary R :=
⟨by rw [star_star, mul_star_self_of_mem hU], by rw [star_star, star_mul_self_of_mem hU]⟩
#align unitary.star_mem unitary.star_mem
@[simp]
theorem star_mem_iff {U : R} : star U ∈ unitary R ↔ U ∈ unitary R :=
⟨fun h => star_star U ▸ star_mem h, star_mem⟩
#align unitary.star_mem_iff unitary.star_mem_iff
instance : Star (unitary R) :=
⟨fun U => ⟨star U, star_mem U.prop⟩⟩
@[simp, norm_cast]
theorem coe_star {U : unitary R} : ↑(star U) = (star U : R) :=
rfl
#align unitary.coe_star unitary.coe_star
theorem coe_star_mul_self (U : unitary R) : (star U : R) * U = 1 :=
star_mul_self_of_mem U.prop
#align unitary.coe_star_mul_self unitary.coe_star_mul_self
theorem coe_mul_star_self (U : unitary R) : (U : R) * star U = 1 :=
mul_star_self_of_mem U.prop
#align unitary.coe_mul_star_self unitary.coe_mul_star_self
@[simp]
theorem star_mul_self (U : unitary R) : star U * U = 1 :=
Subtype.ext <| coe_star_mul_self U
#align unitary.star_mul_self unitary.star_mul_self
@[simp]
theorem mul_star_self (U : unitary R) : U * star U = 1 :=
Subtype.ext <| coe_mul_star_self U
#align unitary.mul_star_self unitary.mul_star_self
instance : Group (unitary R) :=
{ Submonoid.toMonoid _ with
inv := star
mul_left_inv := star_mul_self }
instance : InvolutiveStar (unitary R) :=
⟨by
intro x
ext
rw [coe_star, coe_star, star_star]⟩
instance : StarMul (unitary R) :=
⟨by
intro x y
ext
rw [coe_star, Submonoid.coe_mul, Submonoid.coe_mul, coe_star, coe_star, star_mul]⟩
instance : Inhabited (unitary R) :=
⟨1⟩
theorem star_eq_inv (U : unitary R) : star U = U⁻¹ :=
rfl
#align unitary.star_eq_inv unitary.star_eq_inv
theorem star_eq_inv' : (star : unitary R → unitary R) = Inv.inv :=
rfl
#align unitary.star_eq_inv' unitary.star_eq_inv'
@[simps]
def toUnits : unitary R →* Rˣ where
toFun x := ⟨x, ↑x⁻¹, coe_mul_star_self x, coe_star_mul_self x⟩
map_one' := Units.ext rfl
map_mul' _ _ := Units.ext rfl
#align unitary.to_units unitary.toUnits
theorem toUnits_injective : Function.Injective (toUnits : unitary R → Rˣ) := fun _ _ h =>
Subtype.ext <| Units.ext_iff.mp h
#align unitary.to_units_injective unitary.toUnits_injective
| Mathlib/Algebra/Star/Unitary.lean | 141 | 145 | theorem _root_.IsUnit.mem_unitary_of_star_mul_self {u : R} (hu : IsUnit u)
(h_mul : star u * u = 1) : u ∈ unitary R := by |
refine unitary.mem_iff.mpr ⟨h_mul, ?_⟩
lift u to Rˣ using hu
exact left_inv_eq_right_inv h_mul u.mul_inv ▸ u.mul_inv
|
import Mathlib.GroupTheory.QuotientGroup
import Mathlib.GroupTheory.Solvable
import Mathlib.GroupTheory.PGroup
import Mathlib.GroupTheory.Sylow
import Mathlib.Data.Nat.Factorization.Basic
import Mathlib.Tactic.TFAE
#align_import group_theory.nilpotent from "leanprover-community/mathlib"@"2bbc7e3884ba234309d2a43b19144105a753292e"
open Subgroup
section WithGroup
variable {G : Type*} [Group G] (H : Subgroup G) [Normal H]
def upperCentralSeriesStep : Subgroup G where
carrier := { x : G | ∀ y : G, x * y * x⁻¹ * y⁻¹ ∈ H }
one_mem' y := by simp [Subgroup.one_mem]
mul_mem' {a b ha hb y} := by
convert Subgroup.mul_mem _ (ha (b * y * b⁻¹)) (hb y) using 1
group
inv_mem' {x hx y} := by
specialize hx y⁻¹
rw [mul_assoc, inv_inv] at hx ⊢
exact Subgroup.Normal.mem_comm inferInstance hx
#align upper_central_series_step upperCentralSeriesStep
theorem mem_upperCentralSeriesStep (x : G) :
x ∈ upperCentralSeriesStep H ↔ ∀ y, x * y * x⁻¹ * y⁻¹ ∈ H := Iff.rfl
#align mem_upper_central_series_step mem_upperCentralSeriesStep
open QuotientGroup
theorem upperCentralSeriesStep_eq_comap_center :
upperCentralSeriesStep H = Subgroup.comap (mk' H) (center (G ⧸ H)) := by
ext
rw [mem_comap, mem_center_iff, forall_mk]
apply forall_congr'
intro y
rw [coe_mk', ← QuotientGroup.mk_mul, ← QuotientGroup.mk_mul, eq_comm, eq_iff_div_mem,
div_eq_mul_inv, mul_inv_rev, mul_assoc]
#align upper_central_series_step_eq_comap_center upperCentralSeriesStep_eq_comap_center
instance : Normal (upperCentralSeriesStep H) := by
rw [upperCentralSeriesStep_eq_comap_center]
infer_instance
variable (G)
def upperCentralSeriesAux : ℕ → Σ'H : Subgroup G, Normal H
| 0 => ⟨⊥, inferInstance⟩
| n + 1 =>
let un := upperCentralSeriesAux n
let _un_normal := un.2
⟨upperCentralSeriesStep un.1, inferInstance⟩
#align upper_central_series_aux upperCentralSeriesAux
def upperCentralSeries (n : ℕ) : Subgroup G :=
(upperCentralSeriesAux G n).1
#align upper_central_series upperCentralSeries
instance upperCentralSeries_normal (n : ℕ) : Normal (upperCentralSeries G n) :=
(upperCentralSeriesAux G n).2
@[simp]
theorem upperCentralSeries_zero : upperCentralSeries G 0 = ⊥ := rfl
#align upper_central_series_zero upperCentralSeries_zero
@[simp]
theorem upperCentralSeries_one : upperCentralSeries G 1 = center G := by
ext
simp only [upperCentralSeries, upperCentralSeriesAux, upperCentralSeriesStep,
Subgroup.mem_center_iff, mem_mk, mem_bot, Set.mem_setOf_eq]
exact forall_congr' fun y => by rw [mul_inv_eq_one, mul_inv_eq_iff_eq_mul, eq_comm]
#align upper_central_series_one upperCentralSeries_one
theorem mem_upperCentralSeries_succ_iff (n : ℕ) (x : G) :
x ∈ upperCentralSeries G (n + 1) ↔ ∀ y : G, x * y * x⁻¹ * y⁻¹ ∈ upperCentralSeries G n :=
Iff.rfl
#align mem_upper_central_series_succ_iff mem_upperCentralSeries_succ_iff
-- is_nilpotent is already defined in the root namespace (for elements of rings).
class Group.IsNilpotent (G : Type*) [Group G] : Prop where
nilpotent' : ∃ n : ℕ, upperCentralSeries G n = ⊤
#align group.is_nilpotent Group.IsNilpotent
-- Porting note: add lemma since infer kinds are unsupported in the definition of `IsNilpotent`
lemma Group.IsNilpotent.nilpotent (G : Type*) [Group G] [IsNilpotent G] :
∃ n : ℕ, upperCentralSeries G n = ⊤ := Group.IsNilpotent.nilpotent'
open Group
variable {G}
def IsAscendingCentralSeries (H : ℕ → Subgroup G) : Prop :=
H 0 = ⊥ ∧ ∀ (x : G) (n : ℕ), x ∈ H (n + 1) → ∀ g, x * g * x⁻¹ * g⁻¹ ∈ H n
#align is_ascending_central_series IsAscendingCentralSeries
def IsDescendingCentralSeries (H : ℕ → Subgroup G) :=
H 0 = ⊤ ∧ ∀ (x : G) (n : ℕ), x ∈ H n → ∀ g, x * g * x⁻¹ * g⁻¹ ∈ H (n + 1)
#align is_descending_central_series IsDescendingCentralSeries
theorem ascending_central_series_le_upper (H : ℕ → Subgroup G) (hH : IsAscendingCentralSeries H) :
∀ n : ℕ, H n ≤ upperCentralSeries G n
| 0 => hH.1.symm ▸ le_refl ⊥
| n + 1 => by
intro x hx
rw [mem_upperCentralSeries_succ_iff]
exact fun y => ascending_central_series_le_upper H hH n (hH.2 x n hx y)
#align ascending_central_series_le_upper ascending_central_series_le_upper
variable (G)
theorem upperCentralSeries_isAscendingCentralSeries :
IsAscendingCentralSeries (upperCentralSeries G) :=
⟨rfl, fun _x _n h => h⟩
#align upper_central_series_is_ascending_central_series upperCentralSeries_isAscendingCentralSeries
theorem upperCentralSeries_mono : Monotone (upperCentralSeries G) := by
refine monotone_nat_of_le_succ ?_
intro n x hx y
rw [mul_assoc, mul_assoc, ← mul_assoc y x⁻¹ y⁻¹]
exact mul_mem hx (Normal.conj_mem (upperCentralSeries_normal G n) x⁻¹ (inv_mem hx) y)
#align upper_central_series_mono upperCentralSeries_mono
theorem nilpotent_iff_finite_ascending_central_series :
IsNilpotent G ↔ ∃ n : ℕ, ∃ H : ℕ → Subgroup G, IsAscendingCentralSeries H ∧ H n = ⊤ := by
constructor
· rintro ⟨n, nH⟩
exact ⟨_, _, upperCentralSeries_isAscendingCentralSeries G, nH⟩
· rintro ⟨n, H, hH, hn⟩
use n
rw [eq_top_iff, ← hn]
exact ascending_central_series_le_upper H hH n
#align nilpotent_iff_finite_ascending_central_series nilpotent_iff_finite_ascending_central_series
theorem is_decending_rev_series_of_is_ascending {H : ℕ → Subgroup G} {n : ℕ} (hn : H n = ⊤)
(hasc : IsAscendingCentralSeries H) : IsDescendingCentralSeries fun m : ℕ => H (n - m) := by
cases' hasc with h0 hH
refine ⟨hn, fun x m hx g => ?_⟩
dsimp at hx
by_cases hm : n ≤ m
· rw [tsub_eq_zero_of_le hm, h0, Subgroup.mem_bot] at hx
subst hx
rw [show (1 : G) * g * (1⁻¹ : G) * g⁻¹ = 1 by group]
exact Subgroup.one_mem _
· push_neg at hm
apply hH
convert hx using 1
rw [tsub_add_eq_add_tsub (Nat.succ_le_of_lt hm), Nat.succ_eq_add_one, Nat.add_sub_add_right]
#align is_decending_rev_series_of_is_ascending is_decending_rev_series_of_is_ascending
theorem is_ascending_rev_series_of_is_descending {H : ℕ → Subgroup G} {n : ℕ} (hn : H n = ⊥)
(hdesc : IsDescendingCentralSeries H) : IsAscendingCentralSeries fun m : ℕ => H (n - m) := by
cases' hdesc with h0 hH
refine ⟨hn, fun x m hx g => ?_⟩
dsimp only at hx ⊢
by_cases hm : n ≤ m
· have hnm : n - m = 0 := tsub_eq_zero_iff_le.mpr hm
rw [hnm, h0]
exact mem_top _
· push_neg at hm
convert hH x _ hx g using 1
rw [tsub_add_eq_add_tsub (Nat.succ_le_of_lt hm), Nat.succ_eq_add_one, Nat.add_sub_add_right]
#align is_ascending_rev_series_of_is_descending is_ascending_rev_series_of_is_descending
| Mathlib/GroupTheory/Nilpotent.lean | 262 | 275 | theorem nilpotent_iff_finite_descending_central_series :
IsNilpotent G ↔ ∃ n : ℕ, ∃ H : ℕ → Subgroup G, IsDescendingCentralSeries H ∧ H n = ⊥ := by |
rw [nilpotent_iff_finite_ascending_central_series]
constructor
· rintro ⟨n, H, hH, hn⟩
refine ⟨n, fun m => H (n - m), is_decending_rev_series_of_is_ascending G hn hH, ?_⟩
dsimp only
rw [tsub_self]
exact hH.1
· rintro ⟨n, H, hH, hn⟩
refine ⟨n, fun m => H (n - m), is_ascending_rev_series_of_is_descending G hn hH, ?_⟩
dsimp only
rw [tsub_self]
exact hH.1
|
import Mathlib.Algebra.BigOperators.Group.Finset
import Mathlib.Data.Fintype.Card
#align_import data.multiset.fintype from "leanprover-community/mathlib"@"e3d9ab8faa9dea8f78155c6c27d62a621f4c152d"
variable {α : Type*} [DecidableEq α] {m : Multiset α}
def Multiset.ToType (m : Multiset α) : Type _ := (x : α) × Fin (m.count x)
#align multiset.to_type Multiset.ToType
instance : CoeSort (Multiset α) (Type _) := ⟨Multiset.ToType⟩
example : DecidableEq m := inferInstanceAs <| DecidableEq ((x : α) × Fin (m.count x))
-- Porting note: syntactic equality
#noalign multiset.coe_sort_eq
@[reducible, match_pattern]
def Multiset.mkToType (m : Multiset α) (x : α) (i : Fin (m.count x)) : m :=
⟨x, i⟩
#align multiset.mk_to_type Multiset.mkToType
instance instCoeSortMultisetType.instCoeOutToType : CoeOut m α :=
⟨fun x ↦ x.1⟩
#align multiset.has_coe_to_sort.has_coe instCoeSortMultisetType.instCoeOutToTypeₓ
-- Porting note: syntactic equality
#noalign multiset.fst_coe_eq_coe
-- Syntactic equality
#noalign multiset.coe_eq
-- @[simp] -- Porting note (#10685): dsimp can prove this
theorem Multiset.coe_mk {x : α} {i : Fin (m.count x)} : ↑(m.mkToType x i) = x :=
rfl
#align multiset.coe_mk Multiset.coe_mk
@[simp] lemma Multiset.coe_mem {x : m} : ↑x ∈ m := Multiset.count_pos.mp (by have := x.2.2; omega)
#align multiset.coe_mem Multiset.coe_mem
@[simp]
protected theorem Multiset.forall_coe (p : m → Prop) :
(∀ x : m, p x) ↔ ∀ (x : α) (i : Fin (m.count x)), p ⟨x, i⟩ :=
Sigma.forall
#align multiset.forall_coe Multiset.forall_coe
@[simp]
protected theorem Multiset.exists_coe (p : m → Prop) :
(∃ x : m, p x) ↔ ∃ (x : α) (i : Fin (m.count x)), p ⟨x, i⟩ :=
Sigma.exists
#align multiset.exists_coe Multiset.exists_coe
instance : Fintype { p : α × ℕ | p.2 < m.count p.1 } :=
Fintype.ofFinset
(m.toFinset.biUnion fun x ↦ (Finset.range (m.count x)).map ⟨Prod.mk x, Prod.mk.inj_left x⟩)
(by
rintro ⟨x, i⟩
simp only [Finset.mem_biUnion, Multiset.mem_toFinset, Finset.mem_map, Finset.mem_range,
Function.Embedding.coeFn_mk, Prod.mk.inj_iff, Set.mem_setOf_eq]
simp only [← and_assoc, exists_eq_right, and_iff_right_iff_imp]
exact fun h ↦ Multiset.count_pos.mp (by omega))
def Multiset.toEnumFinset (m : Multiset α) : Finset (α × ℕ) :=
{ p : α × ℕ | p.2 < m.count p.1 }.toFinset
#align multiset.to_enum_finset Multiset.toEnumFinset
@[simp]
theorem Multiset.mem_toEnumFinset (m : Multiset α) (p : α × ℕ) :
p ∈ m.toEnumFinset ↔ p.2 < m.count p.1 :=
Set.mem_toFinset
#align multiset.mem_to_enum_finset Multiset.mem_toEnumFinset
theorem Multiset.mem_of_mem_toEnumFinset {p : α × ℕ} (h : p ∈ m.toEnumFinset) : p.1 ∈ m :=
have := (m.mem_toEnumFinset p).mp h; Multiset.count_pos.mp (by omega)
#align multiset.mem_of_mem_to_enum_finset Multiset.mem_of_mem_toEnumFinset
@[mono]
theorem Multiset.toEnumFinset_mono {m₁ m₂ : Multiset α} (h : m₁ ≤ m₂) :
m₁.toEnumFinset ⊆ m₂.toEnumFinset := by
intro p
simp only [Multiset.mem_toEnumFinset]
exact gt_of_ge_of_gt (Multiset.le_iff_count.mp h p.1)
#align multiset.to_enum_finset_mono Multiset.toEnumFinset_mono
@[simp]
theorem Multiset.toEnumFinset_subset_iff {m₁ m₂ : Multiset α} :
m₁.toEnumFinset ⊆ m₂.toEnumFinset ↔ m₁ ≤ m₂ := by
refine ⟨fun h ↦ ?_, Multiset.toEnumFinset_mono⟩
rw [Multiset.le_iff_count]
intro x
by_cases hx : x ∈ m₁
· apply Nat.le_of_pred_lt
have : (x, m₁.count x - 1) ∈ m₁.toEnumFinset := by
rw [Multiset.mem_toEnumFinset]
exact Nat.pred_lt (ne_of_gt (Multiset.count_pos.mpr hx))
simpa only [Multiset.mem_toEnumFinset] using h this
· simp [hx]
#align multiset.to_enum_finset_subset_iff Multiset.toEnumFinset_subset_iff
@[simps]
def Multiset.coeEmbedding (m : Multiset α) : m ↪ α × ℕ where
toFun x := (x, x.2)
inj' := by
intro ⟨x, i, hi⟩ ⟨y, j, hj⟩
rintro ⟨⟩
rfl
#align multiset.coe_embedding Multiset.coeEmbedding
@[simps]
def Multiset.coeEquiv (m : Multiset α) : m ≃ m.toEnumFinset where
toFun x :=
⟨m.coeEmbedding x, by
rw [Multiset.mem_toEnumFinset]
exact x.2.2⟩
invFun x :=
⟨x.1.1, x.1.2, by
rw [← Multiset.mem_toEnumFinset]
exact x.2⟩
left_inv := by
rintro ⟨x, i, h⟩
rfl
right_inv := by
rintro ⟨⟨x, i⟩, h⟩
rfl
#align multiset.coe_equiv Multiset.coeEquiv
@[simp]
theorem Multiset.toEmbedding_coeEquiv_trans (m : Multiset α) :
m.coeEquiv.toEmbedding.trans (Function.Embedding.subtype _) = m.coeEmbedding := by ext <;> rfl
#align multiset.to_embedding_coe_equiv_trans Multiset.toEmbedding_coeEquiv_trans
@[irreducible]
instance Multiset.fintypeCoe : Fintype m :=
Fintype.ofEquiv m.toEnumFinset m.coeEquiv.symm
#align multiset.fintype_coe Multiset.fintypeCoe
theorem Multiset.map_univ_coeEmbedding (m : Multiset α) :
(Finset.univ : Finset m).map m.coeEmbedding = m.toEnumFinset := by
ext ⟨x, i⟩
simp only [Fin.exists_iff, Finset.mem_map, Finset.mem_univ, Multiset.coeEmbedding_apply,
Prod.mk.inj_iff, exists_true_left, Multiset.exists_coe, Multiset.coe_mk, Fin.val_mk,
exists_prop, exists_eq_right_right, exists_eq_right, Multiset.mem_toEnumFinset, iff_self_iff,
true_and_iff]
#align multiset.map_univ_coe_embedding Multiset.map_univ_coeEmbedding
theorem Multiset.toEnumFinset_filter_eq (m : Multiset α) (x : α) :
(m.toEnumFinset.filter fun p ↦ x = p.1) =
(Finset.range (m.count x)).map ⟨Prod.mk x, Prod.mk.inj_left x⟩ := by
ext ⟨y, i⟩
simp only [eq_comm, Finset.mem_filter, Multiset.mem_toEnumFinset, Finset.mem_map,
Finset.mem_range, Function.Embedding.coeFn_mk, Prod.mk.inj_iff, exists_prop,
exists_eq_right_right', and_congr_left_iff]
rintro rfl
rfl
#align multiset.to_enum_finset_filter_eq Multiset.toEnumFinset_filter_eq
@[simp]
theorem Multiset.map_toEnumFinset_fst (m : Multiset α) : m.toEnumFinset.val.map Prod.fst = m := by
ext x
simp only [Multiset.count_map, ← Finset.filter_val, Multiset.toEnumFinset_filter_eq,
Finset.map_val, Finset.range_val, Multiset.card_map, Multiset.card_range]
#align multiset.map_to_enum_finset_fst Multiset.map_toEnumFinset_fst
@[simp]
theorem Multiset.image_toEnumFinset_fst (m : Multiset α) :
m.toEnumFinset.image Prod.fst = m.toFinset := by
rw [Finset.image, Multiset.map_toEnumFinset_fst]
#align multiset.image_to_enum_finset_fst Multiset.image_toEnumFinset_fst
@[simp]
theorem Multiset.map_univ_coe (m : Multiset α) :
(Finset.univ : Finset m).val.map (fun x : m ↦ (x : α)) = m := by
have := m.map_toEnumFinset_fst
rw [← m.map_univ_coeEmbedding] at this
simpa only [Finset.map_val, Multiset.coeEmbedding_apply, Multiset.map_map,
Function.comp_apply] using this
#align multiset.map_univ_coe Multiset.map_univ_coe
@[simp]
theorem Multiset.map_univ {β : Type*} (m : Multiset α) (f : α → β) :
((Finset.univ : Finset m).val.map fun (x : m) ↦ f (x : α)) = m.map f := by
erw [← Multiset.map_map]
rw [Multiset.map_univ_coe]
#align multiset.map_univ Multiset.map_univ
@[simp]
| Mathlib/Data/Multiset/Fintype.lean | 235 | 238 | theorem Multiset.card_toEnumFinset (m : Multiset α) : m.toEnumFinset.card = Multiset.card m := by |
rw [Finset.card, ← Multiset.card_map Prod.fst m.toEnumFinset.val]
congr
exact m.map_toEnumFinset_fst
|
import Mathlib.Algebra.ModEq
import Mathlib.Algebra.Module.Defs
import Mathlib.Algebra.Order.Archimedean
import Mathlib.Algebra.Periodic
import Mathlib.Data.Int.SuccPred
import Mathlib.GroupTheory.QuotientGroup
import Mathlib.Order.Circular
import Mathlib.Data.List.TFAE
import Mathlib.Data.Set.Lattice
#align_import algebra.order.to_interval_mod from "leanprover-community/mathlib"@"213b0cff7bc5ab6696ee07cceec80829ce42efec"
noncomputable section
section LinearOrderedAddCommGroup
variable {α : Type*} [LinearOrderedAddCommGroup α] [hα : Archimedean α] {p : α} (hp : 0 < p)
{a b c : α} {n : ℤ}
def toIcoDiv (a b : α) : ℤ :=
(existsUnique_sub_zsmul_mem_Ico hp b a).choose
#align to_Ico_div toIcoDiv
theorem sub_toIcoDiv_zsmul_mem_Ico (a b : α) : b - toIcoDiv hp a b • p ∈ Set.Ico a (a + p) :=
(existsUnique_sub_zsmul_mem_Ico hp b a).choose_spec.1
#align sub_to_Ico_div_zsmul_mem_Ico sub_toIcoDiv_zsmul_mem_Ico
theorem toIcoDiv_eq_of_sub_zsmul_mem_Ico (h : b - n • p ∈ Set.Ico a (a + p)) :
toIcoDiv hp a b = n :=
((existsUnique_sub_zsmul_mem_Ico hp b a).choose_spec.2 _ h).symm
#align to_Ico_div_eq_of_sub_zsmul_mem_Ico toIcoDiv_eq_of_sub_zsmul_mem_Ico
def toIocDiv (a b : α) : ℤ :=
(existsUnique_sub_zsmul_mem_Ioc hp b a).choose
#align to_Ioc_div toIocDiv
theorem sub_toIocDiv_zsmul_mem_Ioc (a b : α) : b - toIocDiv hp a b • p ∈ Set.Ioc a (a + p) :=
(existsUnique_sub_zsmul_mem_Ioc hp b a).choose_spec.1
#align sub_to_Ioc_div_zsmul_mem_Ioc sub_toIocDiv_zsmul_mem_Ioc
theorem toIocDiv_eq_of_sub_zsmul_mem_Ioc (h : b - n • p ∈ Set.Ioc a (a + p)) :
toIocDiv hp a b = n :=
((existsUnique_sub_zsmul_mem_Ioc hp b a).choose_spec.2 _ h).symm
#align to_Ioc_div_eq_of_sub_zsmul_mem_Ioc toIocDiv_eq_of_sub_zsmul_mem_Ioc
def toIcoMod (a b : α) : α :=
b - toIcoDiv hp a b • p
#align to_Ico_mod toIcoMod
def toIocMod (a b : α) : α :=
b - toIocDiv hp a b • p
#align to_Ioc_mod toIocMod
theorem toIcoMod_mem_Ico (a b : α) : toIcoMod hp a b ∈ Set.Ico a (a + p) :=
sub_toIcoDiv_zsmul_mem_Ico hp a b
#align to_Ico_mod_mem_Ico toIcoMod_mem_Ico
theorem toIcoMod_mem_Ico' (b : α) : toIcoMod hp 0 b ∈ Set.Ico 0 p := by
convert toIcoMod_mem_Ico hp 0 b
exact (zero_add p).symm
#align to_Ico_mod_mem_Ico' toIcoMod_mem_Ico'
theorem toIocMod_mem_Ioc (a b : α) : toIocMod hp a b ∈ Set.Ioc a (a + p) :=
sub_toIocDiv_zsmul_mem_Ioc hp a b
#align to_Ioc_mod_mem_Ioc toIocMod_mem_Ioc
theorem left_le_toIcoMod (a b : α) : a ≤ toIcoMod hp a b :=
(Set.mem_Ico.1 (toIcoMod_mem_Ico hp a b)).1
#align left_le_to_Ico_mod left_le_toIcoMod
theorem left_lt_toIocMod (a b : α) : a < toIocMod hp a b :=
(Set.mem_Ioc.1 (toIocMod_mem_Ioc hp a b)).1
#align left_lt_to_Ioc_mod left_lt_toIocMod
theorem toIcoMod_lt_right (a b : α) : toIcoMod hp a b < a + p :=
(Set.mem_Ico.1 (toIcoMod_mem_Ico hp a b)).2
#align to_Ico_mod_lt_right toIcoMod_lt_right
theorem toIocMod_le_right (a b : α) : toIocMod hp a b ≤ a + p :=
(Set.mem_Ioc.1 (toIocMod_mem_Ioc hp a b)).2
#align to_Ioc_mod_le_right toIocMod_le_right
@[simp]
theorem self_sub_toIcoDiv_zsmul (a b : α) : b - toIcoDiv hp a b • p = toIcoMod hp a b :=
rfl
#align self_sub_to_Ico_div_zsmul self_sub_toIcoDiv_zsmul
@[simp]
theorem self_sub_toIocDiv_zsmul (a b : α) : b - toIocDiv hp a b • p = toIocMod hp a b :=
rfl
#align self_sub_to_Ioc_div_zsmul self_sub_toIocDiv_zsmul
@[simp]
theorem toIcoDiv_zsmul_sub_self (a b : α) : toIcoDiv hp a b • p - b = -toIcoMod hp a b := by
rw [toIcoMod, neg_sub]
#align to_Ico_div_zsmul_sub_self toIcoDiv_zsmul_sub_self
@[simp]
theorem toIocDiv_zsmul_sub_self (a b : α) : toIocDiv hp a b • p - b = -toIocMod hp a b := by
rw [toIocMod, neg_sub]
#align to_Ioc_div_zsmul_sub_self toIocDiv_zsmul_sub_self
@[simp]
theorem toIcoMod_sub_self (a b : α) : toIcoMod hp a b - b = -toIcoDiv hp a b • p := by
rw [toIcoMod, sub_sub_cancel_left, neg_smul]
#align to_Ico_mod_sub_self toIcoMod_sub_self
@[simp]
theorem toIocMod_sub_self (a b : α) : toIocMod hp a b - b = -toIocDiv hp a b • p := by
rw [toIocMod, sub_sub_cancel_left, neg_smul]
#align to_Ioc_mod_sub_self toIocMod_sub_self
@[simp]
theorem self_sub_toIcoMod (a b : α) : b - toIcoMod hp a b = toIcoDiv hp a b • p := by
rw [toIcoMod, sub_sub_cancel]
#align self_sub_to_Ico_mod self_sub_toIcoMod
@[simp]
theorem self_sub_toIocMod (a b : α) : b - toIocMod hp a b = toIocDiv hp a b • p := by
rw [toIocMod, sub_sub_cancel]
#align self_sub_to_Ioc_mod self_sub_toIocMod
@[simp]
theorem toIcoMod_add_toIcoDiv_zsmul (a b : α) : toIcoMod hp a b + toIcoDiv hp a b • p = b := by
rw [toIcoMod, sub_add_cancel]
#align to_Ico_mod_add_to_Ico_div_zsmul toIcoMod_add_toIcoDiv_zsmul
@[simp]
theorem toIocMod_add_toIocDiv_zsmul (a b : α) : toIocMod hp a b + toIocDiv hp a b • p = b := by
rw [toIocMod, sub_add_cancel]
#align to_Ioc_mod_add_to_Ioc_div_zsmul toIocMod_add_toIocDiv_zsmul
@[simp]
theorem toIcoDiv_zsmul_sub_toIcoMod (a b : α) : toIcoDiv hp a b • p + toIcoMod hp a b = b := by
rw [add_comm, toIcoMod_add_toIcoDiv_zsmul]
#align to_Ico_div_zsmul_sub_to_Ico_mod toIcoDiv_zsmul_sub_toIcoMod
@[simp]
theorem toIocDiv_zsmul_sub_toIocMod (a b : α) : toIocDiv hp a b • p + toIocMod hp a b = b := by
rw [add_comm, toIocMod_add_toIocDiv_zsmul]
#align to_Ioc_div_zsmul_sub_to_Ioc_mod toIocDiv_zsmul_sub_toIocMod
theorem toIcoMod_eq_iff : toIcoMod hp a b = c ↔ c ∈ Set.Ico a (a + p) ∧ ∃ z : ℤ, b = c + z • p := by
refine
⟨fun h =>
⟨h ▸ toIcoMod_mem_Ico hp a b, toIcoDiv hp a b, h ▸ (toIcoMod_add_toIcoDiv_zsmul _ _ _).symm⟩,
?_⟩
simp_rw [← @sub_eq_iff_eq_add]
rintro ⟨hc, n, rfl⟩
rw [← toIcoDiv_eq_of_sub_zsmul_mem_Ico hp hc, toIcoMod]
#align to_Ico_mod_eq_iff toIcoMod_eq_iff
theorem toIocMod_eq_iff : toIocMod hp a b = c ↔ c ∈ Set.Ioc a (a + p) ∧ ∃ z : ℤ, b = c + z • p := by
refine
⟨fun h =>
⟨h ▸ toIocMod_mem_Ioc hp a b, toIocDiv hp a b, h ▸ (toIocMod_add_toIocDiv_zsmul hp _ _).symm⟩,
?_⟩
simp_rw [← @sub_eq_iff_eq_add]
rintro ⟨hc, n, rfl⟩
rw [← toIocDiv_eq_of_sub_zsmul_mem_Ioc hp hc, toIocMod]
#align to_Ioc_mod_eq_iff toIocMod_eq_iff
@[simp]
theorem toIcoDiv_apply_left (a : α) : toIcoDiv hp a a = 0 :=
toIcoDiv_eq_of_sub_zsmul_mem_Ico hp <| by simp [hp]
#align to_Ico_div_apply_left toIcoDiv_apply_left
@[simp]
theorem toIocDiv_apply_left (a : α) : toIocDiv hp a a = -1 :=
toIocDiv_eq_of_sub_zsmul_mem_Ioc hp <| by simp [hp]
#align to_Ioc_div_apply_left toIocDiv_apply_left
@[simp]
theorem toIcoMod_apply_left (a : α) : toIcoMod hp a a = a := by
rw [toIcoMod_eq_iff hp, Set.left_mem_Ico]
exact ⟨lt_add_of_pos_right _ hp, 0, by simp⟩
#align to_Ico_mod_apply_left toIcoMod_apply_left
@[simp]
theorem toIocMod_apply_left (a : α) : toIocMod hp a a = a + p := by
rw [toIocMod_eq_iff hp, Set.right_mem_Ioc]
exact ⟨lt_add_of_pos_right _ hp, -1, by simp⟩
#align to_Ioc_mod_apply_left toIocMod_apply_left
theorem toIcoDiv_apply_right (a : α) : toIcoDiv hp a (a + p) = 1 :=
toIcoDiv_eq_of_sub_zsmul_mem_Ico hp <| by simp [hp]
#align to_Ico_div_apply_right toIcoDiv_apply_right
theorem toIocDiv_apply_right (a : α) : toIocDiv hp a (a + p) = 0 :=
toIocDiv_eq_of_sub_zsmul_mem_Ioc hp <| by simp [hp]
#align to_Ioc_div_apply_right toIocDiv_apply_right
theorem toIcoMod_apply_right (a : α) : toIcoMod hp a (a + p) = a := by
rw [toIcoMod_eq_iff hp, Set.left_mem_Ico]
exact ⟨lt_add_of_pos_right _ hp, 1, by simp⟩
#align to_Ico_mod_apply_right toIcoMod_apply_right
theorem toIocMod_apply_right (a : α) : toIocMod hp a (a + p) = a + p := by
rw [toIocMod_eq_iff hp, Set.right_mem_Ioc]
exact ⟨lt_add_of_pos_right _ hp, 0, by simp⟩
#align to_Ioc_mod_apply_right toIocMod_apply_right
@[simp]
theorem toIcoDiv_add_zsmul (a b : α) (m : ℤ) : toIcoDiv hp a (b + m • p) = toIcoDiv hp a b + m :=
toIcoDiv_eq_of_sub_zsmul_mem_Ico hp <| by
simpa only [add_smul, add_sub_add_right_eq_sub] using sub_toIcoDiv_zsmul_mem_Ico hp a b
#align to_Ico_div_add_zsmul toIcoDiv_add_zsmul
@[simp]
theorem toIcoDiv_add_zsmul' (a b : α) (m : ℤ) :
toIcoDiv hp (a + m • p) b = toIcoDiv hp a b - m := by
refine toIcoDiv_eq_of_sub_zsmul_mem_Ico _ ?_
rw [sub_smul, ← sub_add, add_right_comm]
simpa using sub_toIcoDiv_zsmul_mem_Ico hp a b
#align to_Ico_div_add_zsmul' toIcoDiv_add_zsmul'
@[simp]
theorem toIocDiv_add_zsmul (a b : α) (m : ℤ) : toIocDiv hp a (b + m • p) = toIocDiv hp a b + m :=
toIocDiv_eq_of_sub_zsmul_mem_Ioc hp <| by
simpa only [add_smul, add_sub_add_right_eq_sub] using sub_toIocDiv_zsmul_mem_Ioc hp a b
#align to_Ioc_div_add_zsmul toIocDiv_add_zsmul
@[simp]
theorem toIocDiv_add_zsmul' (a b : α) (m : ℤ) :
toIocDiv hp (a + m • p) b = toIocDiv hp a b - m := by
refine toIocDiv_eq_of_sub_zsmul_mem_Ioc _ ?_
rw [sub_smul, ← sub_add, add_right_comm]
simpa using sub_toIocDiv_zsmul_mem_Ioc hp a b
#align to_Ioc_div_add_zsmul' toIocDiv_add_zsmul'
@[simp]
theorem toIcoDiv_zsmul_add (a b : α) (m : ℤ) : toIcoDiv hp a (m • p + b) = m + toIcoDiv hp a b := by
rw [add_comm, toIcoDiv_add_zsmul, add_comm]
#align to_Ico_div_zsmul_add toIcoDiv_zsmul_add
@[simp]
theorem toIocDiv_zsmul_add (a b : α) (m : ℤ) : toIocDiv hp a (m • p + b) = m + toIocDiv hp a b := by
rw [add_comm, toIocDiv_add_zsmul, add_comm]
#align to_Ioc_div_zsmul_add toIocDiv_zsmul_add
@[simp]
theorem toIcoDiv_sub_zsmul (a b : α) (m : ℤ) : toIcoDiv hp a (b - m • p) = toIcoDiv hp a b - m := by
rw [sub_eq_add_neg, ← neg_smul, toIcoDiv_add_zsmul, sub_eq_add_neg]
#align to_Ico_div_sub_zsmul toIcoDiv_sub_zsmul
@[simp]
theorem toIcoDiv_sub_zsmul' (a b : α) (m : ℤ) :
toIcoDiv hp (a - m • p) b = toIcoDiv hp a b + m := by
rw [sub_eq_add_neg, ← neg_smul, toIcoDiv_add_zsmul', sub_neg_eq_add]
#align to_Ico_div_sub_zsmul' toIcoDiv_sub_zsmul'
@[simp]
theorem toIocDiv_sub_zsmul (a b : α) (m : ℤ) : toIocDiv hp a (b - m • p) = toIocDiv hp a b - m := by
rw [sub_eq_add_neg, ← neg_smul, toIocDiv_add_zsmul, sub_eq_add_neg]
#align to_Ioc_div_sub_zsmul toIocDiv_sub_zsmul
@[simp]
theorem toIocDiv_sub_zsmul' (a b : α) (m : ℤ) :
toIocDiv hp (a - m • p) b = toIocDiv hp a b + m := by
rw [sub_eq_add_neg, ← neg_smul, toIocDiv_add_zsmul', sub_neg_eq_add]
#align to_Ioc_div_sub_zsmul' toIocDiv_sub_zsmul'
@[simp]
theorem toIcoDiv_add_right (a b : α) : toIcoDiv hp a (b + p) = toIcoDiv hp a b + 1 := by
simpa only [one_zsmul] using toIcoDiv_add_zsmul hp a b 1
#align to_Ico_div_add_right toIcoDiv_add_right
@[simp]
theorem toIcoDiv_add_right' (a b : α) : toIcoDiv hp (a + p) b = toIcoDiv hp a b - 1 := by
simpa only [one_zsmul] using toIcoDiv_add_zsmul' hp a b 1
#align to_Ico_div_add_right' toIcoDiv_add_right'
@[simp]
theorem toIocDiv_add_right (a b : α) : toIocDiv hp a (b + p) = toIocDiv hp a b + 1 := by
simpa only [one_zsmul] using toIocDiv_add_zsmul hp a b 1
#align to_Ioc_div_add_right toIocDiv_add_right
@[simp]
theorem toIocDiv_add_right' (a b : α) : toIocDiv hp (a + p) b = toIocDiv hp a b - 1 := by
simpa only [one_zsmul] using toIocDiv_add_zsmul' hp a b 1
#align to_Ioc_div_add_right' toIocDiv_add_right'
@[simp]
theorem toIcoDiv_add_left (a b : α) : toIcoDiv hp a (p + b) = toIcoDiv hp a b + 1 := by
rw [add_comm, toIcoDiv_add_right]
#align to_Ico_div_add_left toIcoDiv_add_left
@[simp]
theorem toIcoDiv_add_left' (a b : α) : toIcoDiv hp (p + a) b = toIcoDiv hp a b - 1 := by
rw [add_comm, toIcoDiv_add_right']
#align to_Ico_div_add_left' toIcoDiv_add_left'
@[simp]
theorem toIocDiv_add_left (a b : α) : toIocDiv hp a (p + b) = toIocDiv hp a b + 1 := by
rw [add_comm, toIocDiv_add_right]
#align to_Ioc_div_add_left toIocDiv_add_left
@[simp]
theorem toIocDiv_add_left' (a b : α) : toIocDiv hp (p + a) b = toIocDiv hp a b - 1 := by
rw [add_comm, toIocDiv_add_right']
#align to_Ioc_div_add_left' toIocDiv_add_left'
@[simp]
theorem toIcoDiv_sub (a b : α) : toIcoDiv hp a (b - p) = toIcoDiv hp a b - 1 := by
simpa only [one_zsmul] using toIcoDiv_sub_zsmul hp a b 1
#align to_Ico_div_sub toIcoDiv_sub
@[simp]
theorem toIcoDiv_sub' (a b : α) : toIcoDiv hp (a - p) b = toIcoDiv hp a b + 1 := by
simpa only [one_zsmul] using toIcoDiv_sub_zsmul' hp a b 1
#align to_Ico_div_sub' toIcoDiv_sub'
@[simp]
theorem toIocDiv_sub (a b : α) : toIocDiv hp a (b - p) = toIocDiv hp a b - 1 := by
simpa only [one_zsmul] using toIocDiv_sub_zsmul hp a b 1
#align to_Ioc_div_sub toIocDiv_sub
@[simp]
theorem toIocDiv_sub' (a b : α) : toIocDiv hp (a - p) b = toIocDiv hp a b + 1 := by
simpa only [one_zsmul] using toIocDiv_sub_zsmul' hp a b 1
#align to_Ioc_div_sub' toIocDiv_sub'
theorem toIcoDiv_sub_eq_toIcoDiv_add (a b c : α) :
toIcoDiv hp a (b - c) = toIcoDiv hp (a + c) b := by
apply toIcoDiv_eq_of_sub_zsmul_mem_Ico
rw [← sub_right_comm, Set.sub_mem_Ico_iff_left, add_right_comm]
exact sub_toIcoDiv_zsmul_mem_Ico hp (a + c) b
#align to_Ico_div_sub_eq_to_Ico_div_add toIcoDiv_sub_eq_toIcoDiv_add
theorem toIocDiv_sub_eq_toIocDiv_add (a b c : α) :
toIocDiv hp a (b - c) = toIocDiv hp (a + c) b := by
apply toIocDiv_eq_of_sub_zsmul_mem_Ioc
rw [← sub_right_comm, Set.sub_mem_Ioc_iff_left, add_right_comm]
exact sub_toIocDiv_zsmul_mem_Ioc hp (a + c) b
#align to_Ioc_div_sub_eq_to_Ioc_div_add toIocDiv_sub_eq_toIocDiv_add
theorem toIcoDiv_sub_eq_toIcoDiv_add' (a b c : α) :
toIcoDiv hp (a - c) b = toIcoDiv hp a (b + c) := by
rw [← sub_neg_eq_add, toIcoDiv_sub_eq_toIcoDiv_add, sub_eq_add_neg]
#align to_Ico_div_sub_eq_to_Ico_div_add' toIcoDiv_sub_eq_toIcoDiv_add'
theorem toIocDiv_sub_eq_toIocDiv_add' (a b c : α) :
toIocDiv hp (a - c) b = toIocDiv hp a (b + c) := by
rw [← sub_neg_eq_add, toIocDiv_sub_eq_toIocDiv_add, sub_eq_add_neg]
#align to_Ioc_div_sub_eq_to_Ioc_div_add' toIocDiv_sub_eq_toIocDiv_add'
theorem toIcoDiv_neg (a b : α) : toIcoDiv hp a (-b) = -(toIocDiv hp (-a) b + 1) := by
suffices toIcoDiv hp a (-b) = -toIocDiv hp (-(a + p)) b by
rwa [neg_add, ← sub_eq_add_neg, toIocDiv_sub_eq_toIocDiv_add', toIocDiv_add_right] at this
rw [← neg_eq_iff_eq_neg, eq_comm]
apply toIocDiv_eq_of_sub_zsmul_mem_Ioc
obtain ⟨hc, ho⟩ := sub_toIcoDiv_zsmul_mem_Ico hp a (-b)
rw [← neg_lt_neg_iff, neg_sub' (-b), neg_neg, ← neg_smul] at ho
rw [← neg_le_neg_iff, neg_sub' (-b), neg_neg, ← neg_smul] at hc
refine ⟨ho, hc.trans_eq ?_⟩
rw [neg_add, neg_add_cancel_right]
#align to_Ico_div_neg toIcoDiv_neg
theorem toIcoDiv_neg' (a b : α) : toIcoDiv hp (-a) b = -(toIocDiv hp a (-b) + 1) := by
simpa only [neg_neg] using toIcoDiv_neg hp (-a) (-b)
#align to_Ico_div_neg' toIcoDiv_neg'
theorem toIocDiv_neg (a b : α) : toIocDiv hp a (-b) = -(toIcoDiv hp (-a) b + 1) := by
rw [← neg_neg b, toIcoDiv_neg, neg_neg, neg_neg, neg_add', neg_neg, add_sub_cancel_right]
#align to_Ioc_div_neg toIocDiv_neg
theorem toIocDiv_neg' (a b : α) : toIocDiv hp (-a) b = -(toIcoDiv hp a (-b) + 1) := by
simpa only [neg_neg] using toIocDiv_neg hp (-a) (-b)
#align to_Ioc_div_neg' toIocDiv_neg'
@[simp]
theorem toIcoMod_add_zsmul (a b : α) (m : ℤ) : toIcoMod hp a (b + m • p) = toIcoMod hp a b := by
rw [toIcoMod, toIcoDiv_add_zsmul, toIcoMod, add_smul]
abel
#align to_Ico_mod_add_zsmul toIcoMod_add_zsmul
@[simp]
theorem toIcoMod_add_zsmul' (a b : α) (m : ℤ) :
toIcoMod hp (a + m • p) b = toIcoMod hp a b + m • p := by
simp only [toIcoMod, toIcoDiv_add_zsmul', sub_smul, sub_add]
#align to_Ico_mod_add_zsmul' toIcoMod_add_zsmul'
@[simp]
theorem toIocMod_add_zsmul (a b : α) (m : ℤ) : toIocMod hp a (b + m • p) = toIocMod hp a b := by
rw [toIocMod, toIocDiv_add_zsmul, toIocMod, add_smul]
abel
#align to_Ioc_mod_add_zsmul toIocMod_add_zsmul
@[simp]
theorem toIocMod_add_zsmul' (a b : α) (m : ℤ) :
toIocMod hp (a + m • p) b = toIocMod hp a b + m • p := by
simp only [toIocMod, toIocDiv_add_zsmul', sub_smul, sub_add]
#align to_Ioc_mod_add_zsmul' toIocMod_add_zsmul'
@[simp]
theorem toIcoMod_zsmul_add (a b : α) (m : ℤ) : toIcoMod hp a (m • p + b) = toIcoMod hp a b := by
rw [add_comm, toIcoMod_add_zsmul]
#align to_Ico_mod_zsmul_add toIcoMod_zsmul_add
@[simp]
theorem toIcoMod_zsmul_add' (a b : α) (m : ℤ) :
toIcoMod hp (m • p + a) b = m • p + toIcoMod hp a b := by
rw [add_comm, toIcoMod_add_zsmul', add_comm]
#align to_Ico_mod_zsmul_add' toIcoMod_zsmul_add'
@[simp]
theorem toIocMod_zsmul_add (a b : α) (m : ℤ) : toIocMod hp a (m • p + b) = toIocMod hp a b := by
rw [add_comm, toIocMod_add_zsmul]
#align to_Ioc_mod_zsmul_add toIocMod_zsmul_add
@[simp]
theorem toIocMod_zsmul_add' (a b : α) (m : ℤ) :
toIocMod hp (m • p + a) b = m • p + toIocMod hp a b := by
rw [add_comm, toIocMod_add_zsmul', add_comm]
#align to_Ioc_mod_zsmul_add' toIocMod_zsmul_add'
@[simp]
theorem toIcoMod_sub_zsmul (a b : α) (m : ℤ) : toIcoMod hp a (b - m • p) = toIcoMod hp a b := by
rw [sub_eq_add_neg, ← neg_smul, toIcoMod_add_zsmul]
#align to_Ico_mod_sub_zsmul toIcoMod_sub_zsmul
@[simp]
theorem toIcoMod_sub_zsmul' (a b : α) (m : ℤ) :
toIcoMod hp (a - m • p) b = toIcoMod hp a b - m • p := by
simp_rw [sub_eq_add_neg, ← neg_smul, toIcoMod_add_zsmul']
#align to_Ico_mod_sub_zsmul' toIcoMod_sub_zsmul'
@[simp]
theorem toIocMod_sub_zsmul (a b : α) (m : ℤ) : toIocMod hp a (b - m • p) = toIocMod hp a b := by
rw [sub_eq_add_neg, ← neg_smul, toIocMod_add_zsmul]
#align to_Ioc_mod_sub_zsmul toIocMod_sub_zsmul
@[simp]
theorem toIocMod_sub_zsmul' (a b : α) (m : ℤ) :
toIocMod hp (a - m • p) b = toIocMod hp a b - m • p := by
simp_rw [sub_eq_add_neg, ← neg_smul, toIocMod_add_zsmul']
#align to_Ioc_mod_sub_zsmul' toIocMod_sub_zsmul'
@[simp]
theorem toIcoMod_add_right (a b : α) : toIcoMod hp a (b + p) = toIcoMod hp a b := by
simpa only [one_zsmul] using toIcoMod_add_zsmul hp a b 1
#align to_Ico_mod_add_right toIcoMod_add_right
@[simp]
theorem toIcoMod_add_right' (a b : α) : toIcoMod hp (a + p) b = toIcoMod hp a b + p := by
simpa only [one_zsmul] using toIcoMod_add_zsmul' hp a b 1
#align to_Ico_mod_add_right' toIcoMod_add_right'
@[simp]
theorem toIocMod_add_right (a b : α) : toIocMod hp a (b + p) = toIocMod hp a b := by
simpa only [one_zsmul] using toIocMod_add_zsmul hp a b 1
#align to_Ioc_mod_add_right toIocMod_add_right
@[simp]
| Mathlib/Algebra/Order/ToIntervalMod.lean | 490 | 491 | theorem toIocMod_add_right' (a b : α) : toIocMod hp (a + p) b = toIocMod hp a b + p := by |
simpa only [one_zsmul] using toIocMod_add_zsmul' hp a b 1
|
import Mathlib.Algebra.Ring.Prod
import Mathlib.GroupTheory.OrderOfElement
import Mathlib.Tactic.FinCases
#align_import data.zmod.basic from "leanprover-community/mathlib"@"74ad1c88c77e799d2fea62801d1dbbd698cff1b7"
assert_not_exists Submodule
open Function
namespace ZMod
instance charZero : CharZero (ZMod 0) := inferInstanceAs (CharZero ℤ)
def val : ∀ {n : ℕ}, ZMod n → ℕ
| 0 => Int.natAbs
| n + 1 => ((↑) : Fin (n + 1) → ℕ)
#align zmod.val ZMod.val
theorem val_lt {n : ℕ} [NeZero n] (a : ZMod n) : a.val < n := by
cases n
· cases NeZero.ne 0 rfl
exact Fin.is_lt a
#align zmod.val_lt ZMod.val_lt
theorem val_le {n : ℕ} [NeZero n] (a : ZMod n) : a.val ≤ n :=
a.val_lt.le
#align zmod.val_le ZMod.val_le
@[simp]
theorem val_zero : ∀ {n}, (0 : ZMod n).val = 0
| 0 => rfl
| _ + 1 => rfl
#align zmod.val_zero ZMod.val_zero
@[simp]
theorem val_one' : (1 : ZMod 0).val = 1 :=
rfl
#align zmod.val_one' ZMod.val_one'
@[simp]
theorem val_neg' {n : ZMod 0} : (-n).val = n.val :=
Int.natAbs_neg n
#align zmod.val_neg' ZMod.val_neg'
@[simp]
theorem val_mul' {m n : ZMod 0} : (m * n).val = m.val * n.val :=
Int.natAbs_mul m n
#align zmod.val_mul' ZMod.val_mul'
@[simp]
theorem val_natCast {n : ℕ} (a : ℕ) : (a : ZMod n).val = a % n := by
cases n
· rw [Nat.mod_zero]
exact Int.natAbs_ofNat a
· apply Fin.val_natCast
#align zmod.val_nat_cast ZMod.val_natCast
@[deprecated (since := "2024-04-17")]
alias val_nat_cast := val_natCast
theorem val_unit' {n : ZMod 0} : IsUnit n ↔ n.val = 1 := by
simp only [val]
rw [Int.isUnit_iff, Int.natAbs_eq_iff, Nat.cast_one]
lemma eq_one_of_isUnit_natCast {n : ℕ} (h : IsUnit (n : ZMod 0)) : n = 1 := by
rw [← Nat.mod_zero n, ← val_natCast, val_unit'.mp h]
theorem val_natCast_of_lt {n a : ℕ} (h : a < n) : (a : ZMod n).val = a := by
rwa [val_natCast, Nat.mod_eq_of_lt]
@[deprecated (since := "2024-04-17")]
alias val_nat_cast_of_lt := val_natCast_of_lt
instance charP (n : ℕ) : CharP (ZMod n) n where
cast_eq_zero_iff' := by
intro k
cases' n with n
· simp [zero_dvd_iff, Int.natCast_eq_zero, Nat.zero_eq]
· exact Fin.natCast_eq_zero
@[simp]
theorem addOrderOf_one (n : ℕ) : addOrderOf (1 : ZMod n) = n :=
CharP.eq _ (CharP.addOrderOf_one _) (ZMod.charP n)
#align zmod.add_order_of_one ZMod.addOrderOf_one
@[simp]
theorem addOrderOf_coe (a : ℕ) {n : ℕ} (n0 : n ≠ 0) : addOrderOf (a : ZMod n) = n / n.gcd a := by
cases' a with a
· simp only [Nat.zero_eq, Nat.cast_zero, addOrderOf_zero, Nat.gcd_zero_right,
Nat.pos_of_ne_zero n0, Nat.div_self]
rw [← Nat.smul_one_eq_cast, addOrderOf_nsmul' _ a.succ_ne_zero, ZMod.addOrderOf_one]
#align zmod.add_order_of_coe ZMod.addOrderOf_coe
@[simp]
theorem addOrderOf_coe' {a : ℕ} (n : ℕ) (a0 : a ≠ 0) : addOrderOf (a : ZMod n) = n / n.gcd a := by
rw [← Nat.smul_one_eq_cast, addOrderOf_nsmul' _ a0, ZMod.addOrderOf_one]
#align zmod.add_order_of_coe' ZMod.addOrderOf_coe'
theorem ringChar_zmod_n (n : ℕ) : ringChar (ZMod n) = n := by
rw [ringChar.eq_iff]
exact ZMod.charP n
#align zmod.ring_char_zmod_n ZMod.ringChar_zmod_n
-- @[simp] -- Porting note (#10618): simp can prove this
theorem natCast_self (n : ℕ) : (n : ZMod n) = 0 :=
CharP.cast_eq_zero (ZMod n) n
#align zmod.nat_cast_self ZMod.natCast_self
@[deprecated (since := "2024-04-17")]
alias nat_cast_self := natCast_self
@[simp]
theorem natCast_self' (n : ℕ) : (n + 1 : ZMod (n + 1)) = 0 := by
rw [← Nat.cast_add_one, natCast_self (n + 1)]
#align zmod.nat_cast_self' ZMod.natCast_self'
@[deprecated (since := "2024-04-17")]
alias nat_cast_self' := natCast_self'
section UniversalProperty
variable {n : ℕ} {R : Type*}
section
variable [AddGroupWithOne R]
def cast : ∀ {n : ℕ}, ZMod n → R
| 0 => Int.cast
| _ + 1 => fun i => i.val
#align zmod.cast ZMod.cast
@[simp]
theorem cast_zero : (cast (0 : ZMod n) : R) = 0 := by
delta ZMod.cast
cases n
· exact Int.cast_zero
· simp
#align zmod.cast_zero ZMod.cast_zero
theorem cast_eq_val [NeZero n] (a : ZMod n) : (cast a : R) = a.val := by
cases n
· cases NeZero.ne 0 rfl
rfl
#align zmod.cast_eq_val ZMod.cast_eq_val
variable {S : Type*} [AddGroupWithOne S]
@[simp]
theorem _root_.Prod.fst_zmod_cast (a : ZMod n) : (cast a : R × S).fst = cast a := by
cases n
· rfl
· simp [ZMod.cast]
#align prod.fst_zmod_cast Prod.fst_zmod_cast
@[simp]
theorem _root_.Prod.snd_zmod_cast (a : ZMod n) : (cast a : R × S).snd = cast a := by
cases n
· rfl
· simp [ZMod.cast]
#align prod.snd_zmod_cast Prod.snd_zmod_cast
end
theorem natCast_zmod_val {n : ℕ} [NeZero n] (a : ZMod n) : (a.val : ZMod n) = a := by
cases n
· cases NeZero.ne 0 rfl
· apply Fin.cast_val_eq_self
#align zmod.nat_cast_zmod_val ZMod.natCast_zmod_val
@[deprecated (since := "2024-04-17")]
alias nat_cast_zmod_val := natCast_zmod_val
theorem natCast_rightInverse [NeZero n] : Function.RightInverse val ((↑) : ℕ → ZMod n) :=
natCast_zmod_val
#align zmod.nat_cast_right_inverse ZMod.natCast_rightInverse
@[deprecated (since := "2024-04-17")]
alias nat_cast_rightInverse := natCast_rightInverse
theorem natCast_zmod_surjective [NeZero n] : Function.Surjective ((↑) : ℕ → ZMod n) :=
natCast_rightInverse.surjective
#align zmod.nat_cast_zmod_surjective ZMod.natCast_zmod_surjective
@[deprecated (since := "2024-04-17")]
alias nat_cast_zmod_surjective := natCast_zmod_surjective
@[norm_cast]
theorem intCast_zmod_cast (a : ZMod n) : ((cast a : ℤ) : ZMod n) = a := by
cases n
· simp [ZMod.cast, ZMod]
· dsimp [ZMod.cast, ZMod]
erw [Int.cast_natCast, Fin.cast_val_eq_self]
#align zmod.int_cast_zmod_cast ZMod.intCast_zmod_cast
@[deprecated (since := "2024-04-17")]
alias int_cast_zmod_cast := intCast_zmod_cast
theorem intCast_rightInverse : Function.RightInverse (cast : ZMod n → ℤ) ((↑) : ℤ → ZMod n) :=
intCast_zmod_cast
#align zmod.int_cast_right_inverse ZMod.intCast_rightInverse
@[deprecated (since := "2024-04-17")]
alias int_cast_rightInverse := intCast_rightInverse
theorem intCast_surjective : Function.Surjective ((↑) : ℤ → ZMod n) :=
intCast_rightInverse.surjective
#align zmod.int_cast_surjective ZMod.intCast_surjective
@[deprecated (since := "2024-04-17")]
alias int_cast_surjective := intCast_surjective
theorem cast_id : ∀ (n) (i : ZMod n), (ZMod.cast i : ZMod n) = i
| 0, _ => Int.cast_id
| _ + 1, i => natCast_zmod_val i
#align zmod.cast_id ZMod.cast_id
@[simp]
theorem cast_id' : (ZMod.cast : ZMod n → ZMod n) = id :=
funext (cast_id n)
#align zmod.cast_id' ZMod.cast_id'
variable (R) [Ring R]
@[simp]
theorem natCast_comp_val [NeZero n] : ((↑) : ℕ → R) ∘ (val : ZMod n → ℕ) = cast := by
cases n
· cases NeZero.ne 0 rfl
rfl
#align zmod.nat_cast_comp_val ZMod.natCast_comp_val
@[deprecated (since := "2024-04-17")]
alias nat_cast_comp_val := natCast_comp_val
@[simp]
theorem intCast_comp_cast : ((↑) : ℤ → R) ∘ (cast : ZMod n → ℤ) = cast := by
cases n
· exact congr_arg (Int.cast ∘ ·) ZMod.cast_id'
· ext
simp [ZMod, ZMod.cast]
#align zmod.int_cast_comp_cast ZMod.intCast_comp_cast
@[deprecated (since := "2024-04-17")]
alias int_cast_comp_cast := intCast_comp_cast
variable {R}
@[simp]
theorem natCast_val [NeZero n] (i : ZMod n) : (i.val : R) = cast i :=
congr_fun (natCast_comp_val R) i
#align zmod.nat_cast_val ZMod.natCast_val
@[deprecated (since := "2024-04-17")]
alias nat_cast_val := natCast_val
@[simp]
theorem intCast_cast (i : ZMod n) : ((cast i : ℤ) : R) = cast i :=
congr_fun (intCast_comp_cast R) i
#align zmod.int_cast_cast ZMod.intCast_cast
@[deprecated (since := "2024-04-17")]
alias int_cast_cast := intCast_cast
theorem cast_add_eq_ite {n : ℕ} (a b : ZMod n) :
(cast (a + b) : ℤ) =
if (n : ℤ) ≤ cast a + cast b then (cast a + cast b - n : ℤ) else cast a + cast b := by
cases' n with n
· simp; rfl
change Fin (n + 1) at a b
change ((((a + b) : Fin (n + 1)) : ℕ) : ℤ) = if ((n + 1 : ℕ) : ℤ) ≤ (a : ℕ) + b then _ else _
simp only [Fin.val_add_eq_ite, Int.ofNat_succ, Int.ofNat_le]
norm_cast
split_ifs with h
· rw [Nat.cast_sub h]
congr
· rfl
#align zmod.coe_add_eq_ite ZMod.cast_add_eq_ite
theorem intCast_eq_intCast_iff (a b : ℤ) (c : ℕ) : (a : ZMod c) = (b : ZMod c) ↔ a ≡ b [ZMOD c] :=
CharP.intCast_eq_intCast (ZMod c) c
#align zmod.int_coe_eq_int_coe_iff ZMod.intCast_eq_intCast_iff
@[deprecated (since := "2024-04-17")]
alias int_cast_eq_int_cast_iff := intCast_eq_intCast_iff
theorem intCast_eq_intCast_iff' (a b : ℤ) (c : ℕ) : (a : ZMod c) = (b : ZMod c) ↔ a % c = b % c :=
ZMod.intCast_eq_intCast_iff a b c
#align zmod.int_coe_eq_int_coe_iff' ZMod.intCast_eq_intCast_iff'
@[deprecated (since := "2024-04-17")]
alias int_cast_eq_int_cast_iff' := intCast_eq_intCast_iff'
theorem natCast_eq_natCast_iff (a b c : ℕ) : (a : ZMod c) = (b : ZMod c) ↔ a ≡ b [MOD c] := by
simpa [Int.natCast_modEq_iff] using ZMod.intCast_eq_intCast_iff a b c
#align zmod.nat_coe_eq_nat_coe_iff ZMod.natCast_eq_natCast_iff
@[deprecated (since := "2024-04-17")]
alias nat_cast_eq_nat_cast_iff := natCast_eq_natCast_iff
theorem natCast_eq_natCast_iff' (a b c : ℕ) : (a : ZMod c) = (b : ZMod c) ↔ a % c = b % c :=
ZMod.natCast_eq_natCast_iff a b c
#align zmod.nat_coe_eq_nat_coe_iff' ZMod.natCast_eq_natCast_iff'
@[deprecated (since := "2024-04-17")]
alias nat_cast_eq_nat_cast_iff' := natCast_eq_natCast_iff'
theorem intCast_zmod_eq_zero_iff_dvd (a : ℤ) (b : ℕ) : (a : ZMod b) = 0 ↔ (b : ℤ) ∣ a := by
rw [← Int.cast_zero, ZMod.intCast_eq_intCast_iff, Int.modEq_zero_iff_dvd]
#align zmod.int_coe_zmod_eq_zero_iff_dvd ZMod.intCast_zmod_eq_zero_iff_dvd
@[deprecated (since := "2024-04-17")]
alias int_cast_zmod_eq_zero_iff_dvd := intCast_zmod_eq_zero_iff_dvd
theorem intCast_eq_intCast_iff_dvd_sub (a b : ℤ) (c : ℕ) : (a : ZMod c) = ↑b ↔ ↑c ∣ b - a := by
rw [ZMod.intCast_eq_intCast_iff, Int.modEq_iff_dvd]
#align zmod.int_coe_eq_int_coe_iff_dvd_sub ZMod.intCast_eq_intCast_iff_dvd_sub
@[deprecated (since := "2024-04-17")]
alias int_cast_eq_int_cast_iff_dvd_sub := intCast_eq_intCast_iff_dvd_sub
theorem natCast_zmod_eq_zero_iff_dvd (a b : ℕ) : (a : ZMod b) = 0 ↔ b ∣ a := by
rw [← Nat.cast_zero, ZMod.natCast_eq_natCast_iff, Nat.modEq_zero_iff_dvd]
#align zmod.nat_coe_zmod_eq_zero_iff_dvd ZMod.natCast_zmod_eq_zero_iff_dvd
@[deprecated (since := "2024-04-17")]
alias nat_cast_zmod_eq_zero_iff_dvd := natCast_zmod_eq_zero_iff_dvd
theorem val_intCast {n : ℕ} (a : ℤ) [NeZero n] : ↑(a : ZMod n).val = a % n := by
have hle : (0 : ℤ) ≤ ↑(a : ZMod n).val := Int.natCast_nonneg _
have hlt : ↑(a : ZMod n).val < (n : ℤ) := Int.ofNat_lt.mpr (ZMod.val_lt a)
refine (Int.emod_eq_of_lt hle hlt).symm.trans ?_
rw [← ZMod.intCast_eq_intCast_iff', Int.cast_natCast, ZMod.natCast_val, ZMod.cast_id]
#align zmod.val_int_cast ZMod.val_intCast
@[deprecated (since := "2024-04-17")]
alias val_int_cast := val_intCast
theorem coe_intCast {n : ℕ} (a : ℤ) : cast (a : ZMod n) = a % n := by
cases n
· rw [Int.ofNat_zero, Int.emod_zero, Int.cast_id]; rfl
· rw [← val_intCast, val]; rfl
#align zmod.coe_int_cast ZMod.coe_intCast
@[deprecated (since := "2024-04-17")]
alias coe_int_cast := coe_intCast
@[simp]
theorem val_neg_one (n : ℕ) : (-1 : ZMod n.succ).val = n := by
dsimp [val, Fin.coe_neg]
cases n
· simp [Nat.mod_one]
· dsimp [ZMod, ZMod.cast]
rw [Fin.coe_neg_one]
#align zmod.val_neg_one ZMod.val_neg_one
theorem cast_neg_one {R : Type*} [Ring R] (n : ℕ) : cast (-1 : ZMod n) = (n - 1 : R) := by
cases' n with n
· dsimp [ZMod, ZMod.cast]; simp
· rw [← natCast_val, val_neg_one, Nat.cast_succ, add_sub_cancel_right]
#align zmod.cast_neg_one ZMod.cast_neg_one
theorem cast_sub_one {R : Type*} [Ring R] {n : ℕ} (k : ZMod n) :
(cast (k - 1 : ZMod n) : R) = (if k = 0 then (n : R) else cast k) - 1 := by
split_ifs with hk
· rw [hk, zero_sub, ZMod.cast_neg_one]
· cases n
· dsimp [ZMod, ZMod.cast]
rw [Int.cast_sub, Int.cast_one]
· dsimp [ZMod, ZMod.cast, ZMod.val]
rw [Fin.coe_sub_one, if_neg]
· rw [Nat.cast_sub, Nat.cast_one]
rwa [Fin.ext_iff, Fin.val_zero, ← Ne, ← Nat.one_le_iff_ne_zero] at hk
· exact hk
#align zmod.cast_sub_one ZMod.cast_sub_one
theorem natCast_eq_iff (p : ℕ) (n : ℕ) (z : ZMod p) [NeZero p] :
↑n = z ↔ ∃ k, n = z.val + p * k := by
constructor
· rintro rfl
refine ⟨n / p, ?_⟩
rw [val_natCast, Nat.mod_add_div]
· rintro ⟨k, rfl⟩
rw [Nat.cast_add, natCast_zmod_val, Nat.cast_mul, natCast_self, zero_mul,
add_zero]
#align zmod.nat_coe_zmod_eq_iff ZMod.natCast_eq_iff
theorem intCast_eq_iff (p : ℕ) (n : ℤ) (z : ZMod p) [NeZero p] :
↑n = z ↔ ∃ k, n = z.val + p * k := by
constructor
· rintro rfl
refine ⟨n / p, ?_⟩
rw [val_intCast, Int.emod_add_ediv]
· rintro ⟨k, rfl⟩
rw [Int.cast_add, Int.cast_mul, Int.cast_natCast, Int.cast_natCast, natCast_val,
ZMod.natCast_self, zero_mul, add_zero, cast_id]
#align zmod.int_coe_zmod_eq_iff ZMod.intCast_eq_iff
@[deprecated (since := "2024-05-25")] alias nat_coe_zmod_eq_iff := natCast_eq_iff
@[deprecated (since := "2024-05-25")] alias int_coe_zmod_eq_iff := intCast_eq_iff
@[push_cast, simp]
theorem intCast_mod (a : ℤ) (b : ℕ) : ((a % b : ℤ) : ZMod b) = (a : ZMod b) := by
rw [ZMod.intCast_eq_intCast_iff]
apply Int.mod_modEq
#align zmod.int_cast_mod ZMod.intCast_mod
@[deprecated (since := "2024-04-17")]
alias int_cast_mod := intCast_mod
theorem ker_intCastAddHom (n : ℕ) :
(Int.castAddHom (ZMod n)).ker = AddSubgroup.zmultiples (n : ℤ) := by
ext
rw [Int.mem_zmultiples_iff, AddMonoidHom.mem_ker, Int.coe_castAddHom,
intCast_zmod_eq_zero_iff_dvd]
#align zmod.ker_int_cast_add_hom ZMod.ker_intCastAddHom
@[deprecated (since := "2024-04-17")]
alias ker_int_castAddHom := ker_intCastAddHom
theorem cast_injective_of_le {m n : ℕ} [nzm : NeZero m] (h : m ≤ n) :
Function.Injective (@cast (ZMod n) _ m) := by
cases m with
| zero => cases nzm; simp_all
| succ m =>
rintro ⟨x, hx⟩ ⟨y, hy⟩ f
simp only [cast, val, natCast_eq_natCast_iff',
Nat.mod_eq_of_lt (hx.trans_le h), Nat.mod_eq_of_lt (hy.trans_le h)] at f
apply Fin.ext
exact f
theorem cast_zmod_eq_zero_iff_of_le {m n : ℕ} [NeZero m] (h : m ≤ n) (a : ZMod m) :
(cast a : ZMod n) = 0 ↔ a = 0 := by
rw [← ZMod.cast_zero (n := m)]
exact Injective.eq_iff' (cast_injective_of_le h) rfl
-- Porting note: commented
-- unseal Int.NonNeg
@[simp]
theorem natCast_toNat (p : ℕ) : ∀ {z : ℤ} (_h : 0 ≤ z), (z.toNat : ZMod p) = z
| (n : ℕ), _h => by simp only [Int.cast_natCast, Int.toNat_natCast]
| Int.negSucc n, h => by simp at h
#align zmod.nat_cast_to_nat ZMod.natCast_toNat
@[deprecated (since := "2024-04-17")]
alias nat_cast_toNat := natCast_toNat
theorem val_injective (n : ℕ) [NeZero n] : Function.Injective (val : ZMod n → ℕ) := by
cases n
· cases NeZero.ne 0 rfl
intro a b h
dsimp [ZMod]
ext
exact h
#align zmod.val_injective ZMod.val_injective
theorem val_one_eq_one_mod (n : ℕ) : (1 : ZMod n).val = 1 % n := by
rw [← Nat.cast_one, val_natCast]
#align zmod.val_one_eq_one_mod ZMod.val_one_eq_one_mod
theorem val_one (n : ℕ) [Fact (1 < n)] : (1 : ZMod n).val = 1 := by
rw [val_one_eq_one_mod]
exact Nat.mod_eq_of_lt Fact.out
#align zmod.val_one ZMod.val_one
theorem val_add {n : ℕ} [NeZero n] (a b : ZMod n) : (a + b).val = (a.val + b.val) % n := by
cases n
· cases NeZero.ne 0 rfl
· apply Fin.val_add
#align zmod.val_add ZMod.val_add
theorem val_add_of_lt {n : ℕ} {a b : ZMod n} (h : a.val + b.val < n) :
(a + b).val = a.val + b.val := by
have : NeZero n := by constructor; rintro rfl; simp at h
rw [ZMod.val_add, Nat.mod_eq_of_lt h]
theorem val_add_val_of_le {n : ℕ} [NeZero n] {a b : ZMod n} (h : n ≤ a.val + b.val) :
a.val + b.val = (a + b).val + n := by
rw [val_add, Nat.add_mod_add_of_le_add_mod, Nat.mod_eq_of_lt (val_lt _),
Nat.mod_eq_of_lt (val_lt _)]
rwa [Nat.mod_eq_of_lt (val_lt _), Nat.mod_eq_of_lt (val_lt _)]
theorem val_add_of_le {n : ℕ} [NeZero n] {a b : ZMod n} (h : n ≤ a.val + b.val) :
(a + b).val = a.val + b.val - n := by
rw [val_add_val_of_le h]
exact eq_tsub_of_add_eq rfl
theorem val_add_le {n : ℕ} (a b : ZMod n) : (a + b).val ≤ a.val + b.val := by
cases n
· simp [ZMod.val]; apply Int.natAbs_add_le
· simp [ZMod.val_add]; apply Nat.mod_le
theorem val_mul {n : ℕ} (a b : ZMod n) : (a * b).val = a.val * b.val % n := by
cases n
· rw [Nat.mod_zero]
apply Int.natAbs_mul
· apply Fin.val_mul
#align zmod.val_mul ZMod.val_mul
theorem val_mul_le {n : ℕ} (a b : ZMod n) : (a * b).val ≤ a.val * b.val := by
rw [val_mul]
apply Nat.mod_le
theorem val_mul_of_lt {n : ℕ} {a b : ZMod n} (h : a.val * b.val < n) :
(a * b).val = a.val * b.val := by
rw [val_mul]
apply Nat.mod_eq_of_lt h
instance nontrivial (n : ℕ) [Fact (1 < n)] : Nontrivial (ZMod n) :=
⟨⟨0, 1, fun h =>
zero_ne_one <|
calc
0 = (0 : ZMod n).val := by rw [val_zero]
_ = (1 : ZMod n).val := congr_arg ZMod.val h
_ = 1 := val_one n
⟩⟩
#align zmod.nontrivial ZMod.nontrivial
instance nontrivial' : Nontrivial (ZMod 0) := by
delta ZMod; infer_instance
#align zmod.nontrivial' ZMod.nontrivial'
def inv : ∀ n : ℕ, ZMod n → ZMod n
| 0, i => Int.sign i
| n + 1, i => Nat.gcdA i.val (n + 1)
#align zmod.inv ZMod.inv
instance (n : ℕ) : Inv (ZMod n) :=
⟨inv n⟩
@[nolint unusedHavesSuffices]
theorem inv_zero : ∀ n : ℕ, (0 : ZMod n)⁻¹ = 0
| 0 => Int.sign_zero
| n + 1 =>
show (Nat.gcdA _ (n + 1) : ZMod (n + 1)) = 0 by
rw [val_zero]
unfold Nat.gcdA Nat.xgcd Nat.xgcdAux
rfl
#align zmod.inv_zero ZMod.inv_zero
theorem mul_inv_eq_gcd {n : ℕ} (a : ZMod n) : a * a⁻¹ = Nat.gcd a.val n := by
cases' n with n
· dsimp [ZMod] at a ⊢
calc
_ = a * Int.sign a := rfl
_ = a.natAbs := by rw [Int.mul_sign]
_ = a.natAbs.gcd 0 := by rw [Nat.gcd_zero_right]
· calc
a * a⁻¹ = a * a⁻¹ + n.succ * Nat.gcdB (val a) n.succ := by
rw [natCast_self, zero_mul, add_zero]
_ = ↑(↑a.val * Nat.gcdA (val a) n.succ + n.succ * Nat.gcdB (val a) n.succ) := by
push_cast
rw [natCast_zmod_val]
rfl
_ = Nat.gcd a.val n.succ := by rw [← Nat.gcd_eq_gcd_ab a.val n.succ]; rfl
#align zmod.mul_inv_eq_gcd ZMod.mul_inv_eq_gcd
@[simp]
theorem natCast_mod (a : ℕ) (n : ℕ) : ((a % n : ℕ) : ZMod n) = a := by
conv =>
rhs
rw [← Nat.mod_add_div a n]
simp
#align zmod.nat_cast_mod ZMod.natCast_mod
@[deprecated (since := "2024-04-17")]
alias nat_cast_mod := natCast_mod
theorem eq_iff_modEq_nat (n : ℕ) {a b : ℕ} : (a : ZMod n) = b ↔ a ≡ b [MOD n] := by
cases n
· simp [Nat.ModEq, Int.natCast_inj, Nat.mod_zero]
· rw [Fin.ext_iff, Nat.ModEq, ← val_natCast, ← val_natCast]
exact Iff.rfl
#align zmod.eq_iff_modeq_nat ZMod.eq_iff_modEq_nat
theorem coe_mul_inv_eq_one {n : ℕ} (x : ℕ) (h : Nat.Coprime x n) :
((x : ZMod n) * (x : ZMod n)⁻¹) = 1 := by
rw [Nat.Coprime, Nat.gcd_comm, Nat.gcd_rec] at h
rw [mul_inv_eq_gcd, val_natCast, h, Nat.cast_one]
#align zmod.coe_mul_inv_eq_one ZMod.coe_mul_inv_eq_one
def unitOfCoprime {n : ℕ} (x : ℕ) (h : Nat.Coprime x n) : (ZMod n)ˣ :=
⟨x, x⁻¹, coe_mul_inv_eq_one x h, by rw [mul_comm, coe_mul_inv_eq_one x h]⟩
#align zmod.unit_of_coprime ZMod.unitOfCoprime
@[simp]
theorem coe_unitOfCoprime {n : ℕ} (x : ℕ) (h : Nat.Coprime x n) :
(unitOfCoprime x h : ZMod n) = x :=
rfl
#align zmod.coe_unit_of_coprime ZMod.coe_unitOfCoprime
theorem val_coe_unit_coprime {n : ℕ} (u : (ZMod n)ˣ) : Nat.Coprime (u : ZMod n).val n := by
cases' n with n
· rcases Int.units_eq_one_or u with (rfl | rfl) <;> simp
apply Nat.coprime_of_mul_modEq_one ((u⁻¹ : Units (ZMod (n + 1))) : ZMod (n + 1)).val
have := Units.ext_iff.1 (mul_right_inv u)
rw [Units.val_one] at this
rw [← eq_iff_modEq_nat, Nat.cast_one, ← this]; clear this
rw [← natCast_zmod_val ((u * u⁻¹ : Units (ZMod (n + 1))) : ZMod (n + 1))]
rw [Units.val_mul, val_mul, natCast_mod]
#align zmod.val_coe_unit_coprime ZMod.val_coe_unit_coprime
lemma isUnit_iff_coprime (m n : ℕ) : IsUnit (m : ZMod n) ↔ m.Coprime n := by
refine ⟨fun H ↦ ?_, fun H ↦ (unitOfCoprime m H).isUnit⟩
have H' := val_coe_unit_coprime H.unit
rw [IsUnit.unit_spec, val_natCast m, Nat.coprime_iff_gcd_eq_one] at H'
rw [Nat.coprime_iff_gcd_eq_one, Nat.gcd_comm, ← H']
exact Nat.gcd_rec n m
lemma isUnit_prime_iff_not_dvd {n p : ℕ} (hp : p.Prime) : IsUnit (p : ZMod n) ↔ ¬p ∣ n := by
rw [isUnit_iff_coprime, Nat.Prime.coprime_iff_not_dvd hp]
lemma isUnit_prime_of_not_dvd {n p : ℕ} (hp : p.Prime) (h : ¬ p ∣ n) : IsUnit (p : ZMod n) :=
(isUnit_prime_iff_not_dvd hp).mpr h
@[simp]
theorem inv_coe_unit {n : ℕ} (u : (ZMod n)ˣ) : (u : ZMod n)⁻¹ = (u⁻¹ : (ZMod n)ˣ) := by
have := congr_arg ((↑) : ℕ → ZMod n) (val_coe_unit_coprime u)
rw [← mul_inv_eq_gcd, Nat.cast_one] at this
let u' : (ZMod n)ˣ := ⟨u, (u : ZMod n)⁻¹, this, by rwa [mul_comm]⟩
have h : u = u' := by
apply Units.ext
rfl
rw [h]
rfl
#align zmod.inv_coe_unit ZMod.inv_coe_unit
theorem mul_inv_of_unit {n : ℕ} (a : ZMod n) (h : IsUnit a) : a * a⁻¹ = 1 := by
rcases h with ⟨u, rfl⟩
rw [inv_coe_unit, u.mul_inv]
#align zmod.mul_inv_of_unit ZMod.mul_inv_of_unit
| Mathlib/Data/ZMod/Basic.lean | 912 | 913 | theorem inv_mul_of_unit {n : ℕ} (a : ZMod n) (h : IsUnit a) : a⁻¹ * a = 1 := by |
rw [mul_comm, mul_inv_of_unit a h]
|
import Mathlib.Data.Finset.Lattice
import Mathlib.Data.Set.Sigma
#align_import data.finset.sigma from "leanprover-community/mathlib"@"9003f28797c0664a49e4179487267c494477d853"
open Function Multiset
variable {ι : Type*}
namespace Finset
section Sigma
variable {α : ι → Type*} {β : Type*} (s s₁ s₂ : Finset ι) (t t₁ t₂ : ∀ i, Finset (α i))
protected def sigma : Finset (Σi, α i) :=
⟨_, s.nodup.sigma fun i => (t i).nodup⟩
#align finset.sigma Finset.sigma
variable {s s₁ s₂ t t₁ t₂}
@[simp]
theorem mem_sigma {a : Σi, α i} : a ∈ s.sigma t ↔ a.1 ∈ s ∧ a.2 ∈ t a.1 :=
Multiset.mem_sigma
#align finset.mem_sigma Finset.mem_sigma
@[simp, norm_cast]
theorem coe_sigma (s : Finset ι) (t : ∀ i, Finset (α i)) :
(s.sigma t : Set (Σ i, α i)) = (s : Set ι).sigma fun i ↦ (t i : Set (α i)) :=
Set.ext fun _ => mem_sigma
#align finset.coe_sigma Finset.coe_sigma
@[simp, aesop safe apply (rule_sets := [finsetNonempty])]
theorem sigma_nonempty : (s.sigma t).Nonempty ↔ ∃ i ∈ s, (t i).Nonempty := by simp [Finset.Nonempty]
#align finset.sigma_nonempty Finset.sigma_nonempty
@[simp]
theorem sigma_eq_empty : s.sigma t = ∅ ↔ ∀ i ∈ s, t i = ∅ := by
simp only [← not_nonempty_iff_eq_empty, sigma_nonempty, not_exists, not_and]
#align finset.sigma_eq_empty Finset.sigma_eq_empty
@[mono]
theorem sigma_mono (hs : s₁ ⊆ s₂) (ht : ∀ i, t₁ i ⊆ t₂ i) : s₁.sigma t₁ ⊆ s₂.sigma t₂ :=
fun ⟨i, _⟩ h =>
let ⟨hi, ha⟩ := mem_sigma.1 h
mem_sigma.2 ⟨hs hi, ht i ha⟩
#align finset.sigma_mono Finset.sigma_mono
theorem pairwiseDisjoint_map_sigmaMk :
(s : Set ι).PairwiseDisjoint fun i => (t i).map (Embedding.sigmaMk i) := by
intro i _ j _ hij
rw [Function.onFun, disjoint_left]
simp_rw [mem_map, Function.Embedding.sigmaMk_apply]
rintro _ ⟨y, _, rfl⟩ ⟨z, _, hz'⟩
exact hij (congr_arg Sigma.fst hz'.symm)
#align finset.pairwise_disjoint_map_sigma_mk Finset.pairwiseDisjoint_map_sigmaMk
@[simp]
theorem disjiUnion_map_sigma_mk :
s.disjiUnion (fun i => (t i).map (Embedding.sigmaMk i)) pairwiseDisjoint_map_sigmaMk =
s.sigma t :=
rfl
#align finset.disj_Union_map_sigma_mk Finset.disjiUnion_map_sigma_mk
theorem sigma_eq_biUnion [DecidableEq (Σi, α i)] (s : Finset ι) (t : ∀ i, Finset (α i)) :
s.sigma t = s.biUnion fun i => (t i).map <| Embedding.sigmaMk i := by
ext ⟨x, y⟩
simp [and_left_comm]
#align finset.sigma_eq_bUnion Finset.sigma_eq_biUnion
variable (s t) (f : (Σi, α i) → β)
theorem sup_sigma [SemilatticeSup β] [OrderBot β] :
(s.sigma t).sup f = s.sup fun i => (t i).sup fun b => f ⟨i, b⟩ := by
simp only [le_antisymm_iff, Finset.sup_le_iff, mem_sigma, and_imp, Sigma.forall]
exact
⟨fun i a hi ha => (le_sup hi).trans' <| le_sup (f := fun a => f ⟨i, a⟩) ha, fun i hi a ha =>
le_sup <| mem_sigma.2 ⟨hi, ha⟩⟩
#align finset.sup_sigma Finset.sup_sigma
theorem inf_sigma [SemilatticeInf β] [OrderTop β] :
(s.sigma t).inf f = s.inf fun i => (t i).inf fun b => f ⟨i, b⟩ :=
@sup_sigma _ _ βᵒᵈ _ _ _ _ _
#align finset.inf_sigma Finset.inf_sigma
| Mathlib/Data/Finset/Sigma.lean | 112 | 114 | theorem _root_.biSup_finsetSigma [CompleteLattice β] (s : Finset ι) (t : ∀ i, Finset (α i))
(f : Sigma α → β) : ⨆ ij ∈ s.sigma t, f ij = ⨆ (i ∈ s) (j ∈ t i), f ⟨i, j⟩ := by |
simp_rw [← Finset.iSup_coe, Finset.coe_sigma, biSup_sigma]
|
import Mathlib.Algebra.DirectSum.Basic
import Mathlib.LinearAlgebra.DFinsupp
import Mathlib.LinearAlgebra.Basis
#align_import algebra.direct_sum.module from "leanprover-community/mathlib"@"6623e6af705e97002a9054c1c05a980180276fc1"
universe u v w u₁
namespace DirectSum
open DirectSum
section General
variable {R : Type u} [Semiring R]
variable {ι : Type v} [dec_ι : DecidableEq ι]
variable {M : ι → Type w} [∀ i, AddCommMonoid (M i)] [∀ i, Module R (M i)]
instance : Module R (⨁ i, M i) :=
DFinsupp.module
instance {S : Type*} [Semiring S] [∀ i, Module S (M i)] [∀ i, SMulCommClass R S (M i)] :
SMulCommClass R S (⨁ i, M i) :=
DFinsupp.smulCommClass
instance {S : Type*} [Semiring S] [SMul R S] [∀ i, Module S (M i)] [∀ i, IsScalarTower R S (M i)] :
IsScalarTower R S (⨁ i, M i) :=
DFinsupp.isScalarTower
instance [∀ i, Module Rᵐᵒᵖ (M i)] [∀ i, IsCentralScalar R (M i)] : IsCentralScalar R (⨁ i, M i) :=
DFinsupp.isCentralScalar
theorem smul_apply (b : R) (v : ⨁ i, M i) (i : ι) : (b • v) i = b • v i :=
DFinsupp.smul_apply _ _ _
#align direct_sum.smul_apply DirectSum.smul_apply
variable (R ι M)
def lmk : ∀ s : Finset ι, (∀ i : (↑s : Set ι), M i.val) →ₗ[R] ⨁ i, M i :=
DFinsupp.lmk
#align direct_sum.lmk DirectSum.lmk
def lof : ∀ i : ι, M i →ₗ[R] ⨁ i, M i :=
DFinsupp.lsingle
#align direct_sum.lof DirectSum.lof
theorem lof_eq_of (i : ι) (b : M i) : lof R ι M i b = of M i b := rfl
#align direct_sum.lof_eq_of DirectSum.lof_eq_of
variable {ι M}
theorem single_eq_lof (i : ι) (b : M i) : DFinsupp.single i b = lof R ι M i b := rfl
#align direct_sum.single_eq_lof DirectSum.single_eq_lof
theorem mk_smul (s : Finset ι) (c : R) (x) : mk M s (c • x) = c • mk M s x :=
(lmk R ι M s).map_smul c x
#align direct_sum.mk_smul DirectSum.mk_smul
theorem of_smul (i : ι) (c : R) (x) : of M i (c • x) = c • of M i x :=
(lof R ι M i).map_smul c x
#align direct_sum.of_smul DirectSum.of_smul
variable {R}
theorem support_smul [∀ (i : ι) (x : M i), Decidable (x ≠ 0)] (c : R) (v : ⨁ i, M i) :
(c • v).support ⊆ v.support :=
DFinsupp.support_smul _ _
#align direct_sum.support_smul DirectSum.support_smul
variable {N : Type u₁} [AddCommMonoid N] [Module R N]
variable (φ : ∀ i, M i →ₗ[R] N)
variable (R ι N)
def toModule : (⨁ i, M i) →ₗ[R] N :=
DFunLike.coe (DFinsupp.lsum ℕ) φ
#align direct_sum.to_module DirectSum.toModule
theorem coe_toModule_eq_coe_toAddMonoid :
(toModule R ι N φ : (⨁ i, M i) → N) = toAddMonoid fun i ↦ (φ i).toAddMonoidHom := rfl
#align direct_sum.coe_to_module_eq_coe_to_add_monoid DirectSum.coe_toModule_eq_coe_toAddMonoid
variable {ι N φ}
@[simp]
theorem toModule_lof (i) (x : M i) : toModule R ι N φ (lof R ι M i x) = φ i x :=
toAddMonoid_of (fun i ↦ (φ i).toAddMonoidHom) i x
#align direct_sum.to_module_lof DirectSum.toModule_lof
variable (ψ : (⨁ i, M i) →ₗ[R] N)
theorem toModule.unique (f : ⨁ i, M i) : ψ f = toModule R ι N (fun i ↦ ψ.comp <| lof R ι M i) f :=
toAddMonoid.unique ψ.toAddMonoidHom f
#align direct_sum.to_module.unique DirectSum.toModule.unique
variable {ψ} {ψ' : (⨁ i, M i) →ₗ[R] N}
@[ext]
theorem linearMap_ext ⦃ψ ψ' : (⨁ i, M i) →ₗ[R] N⦄
(H : ∀ i, ψ.comp (lof R ι M i) = ψ'.comp (lof R ι M i)) : ψ = ψ' :=
DFinsupp.lhom_ext' H
#align direct_sum.linear_map_ext DirectSum.linearMap_ext
def lsetToSet (S T : Set ι) (H : S ⊆ T) : (⨁ i : S, M i) →ₗ[R] ⨁ i : T, M i :=
toModule R _ _ fun i ↦ lof R T (fun i : Subtype T ↦ M i) ⟨i, H i.prop⟩
#align direct_sum.lset_to_set DirectSum.lsetToSet
variable (ι M)
@[simps apply]
def linearEquivFunOnFintype [Fintype ι] : (⨁ i, M i) ≃ₗ[R] ∀ i, M i :=
{ DFinsupp.equivFunOnFintype with
toFun := (↑)
map_add' := fun f g ↦ by
ext
rw [add_apply, Pi.add_apply]
map_smul' := fun c f ↦ by
simp_rw [RingHom.id_apply]
rw [DFinsupp.coe_smul] }
#align direct_sum.linear_equiv_fun_on_fintype DirectSum.linearEquivFunOnFintype
variable {ι M}
@[simp]
theorem linearEquivFunOnFintype_lof [Fintype ι] [DecidableEq ι] (i : ι) (m : M i) :
(linearEquivFunOnFintype R ι M) (lof R ι M i m) = Pi.single i m := by
ext a
change (DFinsupp.equivFunOnFintype (lof R ι M i m)) a = _
convert _root_.congr_fun (DFinsupp.equivFunOnFintype_single i m) a
#align direct_sum.linear_equiv_fun_on_fintype_lof DirectSum.linearEquivFunOnFintype_lof
@[simp]
theorem linearEquivFunOnFintype_symm_single [Fintype ι] [DecidableEq ι] (i : ι) (m : M i) :
(linearEquivFunOnFintype R ι M).symm (Pi.single i m) = lof R ι M i m := by
change (DFinsupp.equivFunOnFintype.symm (Pi.single i m)) = _
rw [DFinsupp.equivFunOnFintype_symm_single i m]
rfl
#align direct_sum.linear_equiv_fun_on_fintype_symm_single DirectSum.linearEquivFunOnFintype_symm_single
@[simp]
theorem linearEquivFunOnFintype_symm_coe [Fintype ι] (f : ⨁ i, M i) :
(linearEquivFunOnFintype R ι M).symm f = f := by
simp [linearEquivFunOnFintype]
#align direct_sum.linear_equiv_fun_on_fintype_symm_coe DirectSum.linearEquivFunOnFintype_symm_coe
protected def lid (M : Type v) (ι : Type* := PUnit) [AddCommMonoid M] [Module R M] [Unique ι] :
(⨁ _ : ι, M) ≃ₗ[R] M :=
{ DirectSum.id M ι, toModule R ι M fun _ ↦ LinearMap.id with }
#align direct_sum.lid DirectSum.lid
variable (ι M)
def component (i : ι) : (⨁ i, M i) →ₗ[R] M i :=
DFinsupp.lapply i
#align direct_sum.component DirectSum.component
variable {ι M}
theorem apply_eq_component (f : ⨁ i, M i) (i : ι) : f i = component R ι M i f := rfl
#align direct_sum.apply_eq_component DirectSum.apply_eq_component
@[ext]
theorem ext {f g : ⨁ i, M i} (h : ∀ i, component R ι M i f = component R ι M i g) : f = g :=
DFinsupp.ext h
#align direct_sum.ext DirectSum.ext
theorem ext_iff {f g : ⨁ i, M i} : f = g ↔ ∀ i, component R ι M i f = component R ι M i g :=
⟨fun h _ ↦ by rw [h], ext R⟩
#align direct_sum.ext_iff DirectSum.ext_iff
@[simp]
theorem lof_apply (i : ι) (b : M i) : ((lof R ι M i) b) i = b :=
DFinsupp.single_eq_same
#align direct_sum.lof_apply DirectSum.lof_apply
@[simp]
theorem component.lof_self (i : ι) (b : M i) : component R ι M i ((lof R ι M i) b) = b :=
lof_apply R i b
#align direct_sum.component.lof_self DirectSum.component.lof_self
theorem component.of (i j : ι) (b : M j) :
component R ι M i ((lof R ι M j) b) = if h : j = i then Eq.recOn h b else 0 :=
DFinsupp.single_apply
#align direct_sum.component.of DirectSum.component.of
section Submodule
section Semiring
variable {R : Type u} [Semiring R]
variable {ι : Type v} [dec_ι : DecidableEq ι]
variable {M : Type*} [AddCommMonoid M] [Module R M]
variable (A : ι → Submodule R M)
def coeLinearMap : (⨁ i, A i) →ₗ[R] M :=
toModule R ι M fun i ↦ (A i).subtype
#align direct_sum.coe_linear_map DirectSum.coeLinearMap
@[simp]
theorem coeLinearMap_of (i : ι) (x : A i) : DirectSum.coeLinearMap A (of (fun i ↦ A i) i x) = x :=
-- Porting note: spelled out arguments. (I don't know how this works.)
toAddMonoid_of (β := fun i => A i) (fun i ↦ ((A i).subtype : A i →+ M)) i x
#align direct_sum.coe_linear_map_of DirectSum.coeLinearMap_of
variable {A}
@[simp]
theorem IsInternal.ofBijective_coeLinearMap_same (h : IsInternal A)
{i : ι} (x : A i) :
(LinearEquiv.ofBijective (coeLinearMap A) h).symm x i = x := by
rw [← coeLinearMap_of, LinearEquiv.ofBijective_symm_apply_apply, of_eq_same]
@[simp]
theorem IsInternal.ofBijective_coeLinearMap_of_ne (h : IsInternal A)
{i j : ι} (hij : i ≠ j) (x : A i) :
(LinearEquiv.ofBijective (coeLinearMap A) h).symm x j = 0 := by
rw [← coeLinearMap_of, LinearEquiv.ofBijective_symm_apply_apply, of_eq_of_ne _ i j _ hij]
theorem IsInternal.ofBijective_coeLinearMap_of_mem (h : IsInternal A)
{i : ι} {x : M} (hx : x ∈ A i) :
(LinearEquiv.ofBijective (coeLinearMap A) h).symm x i = ⟨x, hx⟩ :=
h.ofBijective_coeLinearMap_same ⟨x, hx⟩
theorem IsInternal.ofBijective_coeLinearMap_of_mem_ne (h : IsInternal A)
{i j : ι} (hij : i ≠ j) {x : M} (hx : x ∈ A i) :
(LinearEquiv.ofBijective (coeLinearMap A) h).symm x j = 0 :=
h.ofBijective_coeLinearMap_of_ne hij ⟨x, hx⟩
theorem IsInternal.submodule_iSup_eq_top (h : IsInternal A) : iSup A = ⊤ := by
rw [Submodule.iSup_eq_range_dfinsupp_lsum, LinearMap.range_eq_top]
exact Function.Bijective.surjective h
#align direct_sum.is_internal.submodule_supr_eq_top DirectSum.IsInternal.submodule_iSup_eq_top
theorem IsInternal.submodule_independent (h : IsInternal A) : CompleteLattice.Independent A :=
CompleteLattice.independent_of_dfinsupp_lsum_injective _ h.injective
#align direct_sum.is_internal.submodule_independent DirectSum.IsInternal.submodule_independent
noncomputable def IsInternal.collectedBasis (h : IsInternal A) {α : ι → Type*}
(v : ∀ i, Basis (α i) R (A i)) : Basis (Σi, α i) R M where
repr :=
((LinearEquiv.ofBijective (DirectSum.coeLinearMap A) h).symm ≪≫ₗ
DFinsupp.mapRange.linearEquiv fun i ↦ (v i).repr) ≪≫ₗ
(sigmaFinsuppLequivDFinsupp R).symm
#align direct_sum.is_internal.collected_basis DirectSum.IsInternal.collectedBasis
@[simp]
theorem IsInternal.collectedBasis_coe (h : IsInternal A) {α : ι → Type*}
(v : ∀ i, Basis (α i) R (A i)) : ⇑(h.collectedBasis v) = fun a : Σi, α i ↦ ↑(v a.1 a.2) := by
funext a
-- Porting note: was
-- simp only [IsInternal.collectedBasis, toModule, coeLinearMap, Basis.coe_ofRepr,
-- Basis.repr_symm_apply, DFinsupp.lsum_apply_apply, DFinsupp.mapRange.linearEquiv_apply,
-- DFinsupp.mapRange.linearEquiv_symm, DFinsupp.mapRange_single, Finsupp.total_single,
-- LinearEquiv.ofBijective_apply, LinearEquiv.symm_symm, LinearEquiv.symm_trans_apply, one_smul,
-- sigmaFinsuppAddEquivDFinsupp_apply, sigmaFinsuppEquivDFinsupp_single,
-- sigmaFinsuppLequivDFinsupp_apply]
-- convert DFinsupp.sumAddHom_single (fun i ↦ (A i).subtype.toAddMonoidHom) a.1 (v a.1 a.2)
simp only [IsInternal.collectedBasis, coeLinearMap, Basis.coe_ofRepr, LinearEquiv.trans_symm,
LinearEquiv.symm_symm, LinearEquiv.trans_apply, sigmaFinsuppLequivDFinsupp_apply,
sigmaFinsuppEquivDFinsupp_single, LinearEquiv.ofBijective_apply,
sigmaFinsuppAddEquivDFinsupp_apply]
rw [DFinsupp.mapRange.linearEquiv_symm]
erw [DFinsupp.mapRange.linearEquiv_apply]
simp only [DFinsupp.mapRange_single, Basis.repr_symm_apply, Finsupp.total_single, one_smul,
toModule]
erw [DFinsupp.lsum_single]
simp only [Submodule.coeSubtype]
#align direct_sum.is_internal.collected_basis_coe DirectSum.IsInternal.collectedBasis_coe
theorem IsInternal.collectedBasis_mem (h : IsInternal A) {α : ι → Type*}
(v : ∀ i, Basis (α i) R (A i)) (a : Σi, α i) : h.collectedBasis v a ∈ A a.1 := by simp
#align direct_sum.is_internal.collected_basis_mem DirectSum.IsInternal.collectedBasis_mem
theorem IsInternal.collectedBasis_repr_of_mem (h : IsInternal A) {α : ι → Type*}
(v : ∀ i, Basis (α i) R (A i)) {x : M} {i : ι} {a : α i} (hx : x ∈ A i) :
(h.collectedBasis v).repr x ⟨i, a⟩ = (v i).repr ⟨x, hx⟩ a := by
change (sigmaFinsuppLequivDFinsupp R).symm (DFinsupp.mapRange _ (fun i ↦ map_zero _) _) _ = _
simp [h.ofBijective_coeLinearMap_of_mem hx]
| Mathlib/Algebra/DirectSum/Module.lean | 396 | 400 | theorem IsInternal.collectedBasis_repr_of_mem_ne (h : IsInternal A) {α : ι → Type*}
(v : ∀ i, Basis (α i) R (A i)) {x : M} {i j : ι} (hij : i ≠ j) {a : α j} (hx : x ∈ A i) :
(h.collectedBasis v).repr x ⟨j, a⟩ = 0 := by |
change (sigmaFinsuppLequivDFinsupp R).symm (DFinsupp.mapRange _ (fun i ↦ map_zero _) _) _ = _
simp [h.ofBijective_coeLinearMap_of_mem_ne hij hx]
|
import Mathlib.CategoryTheory.Sites.Coherent.Comparison
import Mathlib.CategoryTheory.Sites.Coherent.ExtensiveSheaves
import Mathlib.CategoryTheory.Sites.Coherent.ReflectsPrecoherent
import Mathlib.CategoryTheory.Sites.Coherent.ReflectsPreregular
import Mathlib.CategoryTheory.Sites.InducedTopology
import Mathlib.CategoryTheory.Sites.Whiskering
universe v₁ v₂ v₃ v₄ u₁ u₂ u₃ u₄
namespace CategoryTheory
open Limits Functor regularTopology
variable {C D : Type*} [Category C] [Category D] (F : C ⥤ D)
namespace coherentTopology
variable [F.PreservesFiniteEffectiveEpiFamilies] [F.ReflectsFiniteEffectiveEpiFamilies]
[F.Full] [F.Faithful] [F.EffectivelyEnough] [Precoherent D]
instance : F.IsCoverDense (coherentTopology _) := by
refine F.isCoverDense_of_generate_singleton_functor_π_mem _ fun B ↦ ⟨_, F.effectiveEpiOver B, ?_⟩
apply Coverage.saturate.of
refine ⟨Unit, inferInstance, fun _ => F.effectiveEpiOverObj B,
fun _ => F.effectiveEpiOver B, ?_ , ?_⟩
· funext; ext -- Do we want `Presieve.ext`?
refine ⟨fun ⟨⟩ ↦ ⟨()⟩, ?_⟩
rintro ⟨⟩
simp
· rw [← effectiveEpi_iff_effectiveEpiFamily]
infer_instance
theorem exists_effectiveEpiFamily_iff_mem_induced (X : C) (S : Sieve X) :
(∃ (α : Type) (_ : Finite α) (Y : α → C) (π : (a : α) → (Y a ⟶ X)),
EffectiveEpiFamily Y π ∧ (∀ a : α, (S.arrows) (π a)) ) ↔
(S ∈ F.inducedTopologyOfIsCoverDense (coherentTopology _) X) := by
refine ⟨fun ⟨α, _, Y, π, ⟨H₁, H₂⟩⟩ ↦ ?_, fun hS ↦ ?_⟩
· apply (mem_sieves_iff_hasEffectiveEpiFamily (Sieve.functorPushforward _ S)).mpr
refine ⟨α, inferInstance, fun i => F.obj (Y i),
fun i => F.map (π i), ⟨?_,
fun a => Sieve.image_mem_functorPushforward F S (H₂ a)⟩⟩
exact F.map_finite_effectiveEpiFamily _ _
· obtain ⟨α, _, Y, π, ⟨H₁, H₂⟩⟩ := (mem_sieves_iff_hasEffectiveEpiFamily _).mp hS
refine ⟨α, inferInstance, ?_⟩
let Z : α → C := fun a ↦ (Functor.EffectivelyEnough.presentation (F := F) (Y a)).some.p
let g₀ : (a : α) → F.obj (Z a) ⟶ Y a := fun a ↦ F.effectiveEpiOver (Y a)
have : EffectiveEpiFamily _ (fun a ↦ g₀ a ≫ π a) := inferInstance
refine ⟨Z , fun a ↦ F.preimage (g₀ a ≫ π a), ?_, fun a ↦ (?_ : S.arrows (F.preimage _))⟩
· refine F.finite_effectiveEpiFamily_of_map _ _ ?_
simpa using this
· obtain ⟨W, g₁, g₂, h₁, h₂⟩ := H₂ a
rw [h₂]
convert S.downward_closed h₁ (F.preimage (g₀ a ≫ g₂))
exact F.map_injective (by simp)
lemma eq_induced : haveI := F.reflects_precoherent
coherentTopology C =
F.inducedTopologyOfIsCoverDense (coherentTopology _) := by
ext X S
have := F.reflects_precoherent
rw [← exists_effectiveEpiFamily_iff_mem_induced F X]
rw [← coherentTopology.mem_sieves_iff_hasEffectiveEpiFamily S]
lemma coverPreserving : haveI := F.reflects_precoherent
CoverPreserving (coherentTopology _) (coherentTopology _) F := by
rw [eq_induced F]
apply LocallyCoverDense.inducedTopology_coverPreserving
instance coverLifting : haveI := F.reflects_precoherent
F.IsCocontinuous (coherentTopology _) (coherentTopology _) := by
rw [eq_induced F]
apply LocallyCoverDense.inducedTopology_isCocontinuous
instance isContinuous : haveI := F.reflects_precoherent
F.IsContinuous (coherentTopology _) (coherentTopology _) :=
Functor.IsCoverDense.isContinuous _ _ _ (coverPreserving F)
namespace regularTopology
variable [F.PreservesEffectiveEpis] [F.ReflectsEffectiveEpis] [F.Full] [F.Faithful]
[F.EffectivelyEnough] [Preregular D]
instance : F.IsCoverDense (regularTopology _) := by
refine F.isCoverDense_of_generate_singleton_functor_π_mem _ fun B ↦ ⟨_, F.effectiveEpiOver B, ?_⟩
apply Coverage.saturate.of
refine ⟨F.effectiveEpiOverObj B, F.effectiveEpiOver B, ?_, inferInstance⟩
funext; ext -- Do we want `Presieve.ext`?
refine ⟨fun ⟨⟩ ↦ ⟨()⟩, ?_⟩
rintro ⟨⟩
simp
| Mathlib/CategoryTheory/Sites/Coherent/SheafComparison.lean | 161 | 178 | theorem exists_effectiveEpi_iff_mem_induced (X : C) (S : Sieve X) :
(∃ (Y : C) (π : Y ⟶ X),
EffectiveEpi π ∧ S.arrows π) ↔
(S ∈ F.inducedTopologyOfIsCoverDense (regularTopology _) X) := by |
refine ⟨fun ⟨Y, π, ⟨H₁, H₂⟩⟩ ↦ ?_, fun hS ↦ ?_⟩
· apply (mem_sieves_iff_hasEffectiveEpi (Sieve.functorPushforward _ S)).mpr
refine ⟨F.obj Y, F.map π, ⟨?_, Sieve.image_mem_functorPushforward F S H₂⟩⟩
exact F.map_effectiveEpi _
· obtain ⟨Y, π, ⟨H₁, H₂⟩⟩ := (mem_sieves_iff_hasEffectiveEpi _).mp hS
let g₀ := F.effectiveEpiOver Y
refine ⟨_, F.preimage (g₀ ≫ π), ?_, (?_ : S.arrows (F.preimage _))⟩
· refine F.effectiveEpi_of_map _ ?_
simp only [map_preimage]
infer_instance
· obtain ⟨W, g₁, g₂, h₁, h₂⟩ := H₂
rw [h₂]
convert S.downward_closed h₁ (F.preimage (g₀ ≫ g₂))
exact F.map_injective (by simp)
|
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
theorem set_lintegral_one (s) : ∫⁻ _ in s, 1 ∂μ = μ s := by rw [set_lintegral_const, one_mul]
#align measure_theory.set_lintegral_one MeasureTheory.set_lintegral_one
theorem set_lintegral_const_lt_top [IsFiniteMeasure μ] (s : Set α) {c : ℝ≥0∞} (hc : c ≠ ∞) :
∫⁻ _ in s, c ∂μ < ∞ := by
rw [lintegral_const]
exact ENNReal.mul_lt_top hc (measure_ne_top (μ.restrict s) univ)
#align measure_theory.set_lintegral_const_lt_top MeasureTheory.set_lintegral_const_lt_top
theorem lintegral_const_lt_top [IsFiniteMeasure μ] {c : ℝ≥0∞} (hc : c ≠ ∞) : ∫⁻ _, c ∂μ < ∞ := by
simpa only [Measure.restrict_univ] using set_lintegral_const_lt_top (univ : Set α) hc
#align measure_theory.lintegral_const_lt_top MeasureTheory.lintegral_const_lt_top
section
variable (μ)
theorem exists_measurable_le_lintegral_eq (f : α → ℝ≥0∞) :
∃ g : α → ℝ≥0∞, Measurable g ∧ g ≤ f ∧ ∫⁻ a, f a ∂μ = ∫⁻ a, g a ∂μ := by
rcases eq_or_ne (∫⁻ a, f a ∂μ) 0 with h₀ | h₀
· exact ⟨0, measurable_zero, zero_le f, h₀.trans lintegral_zero.symm⟩
rcases exists_seq_strictMono_tendsto' h₀.bot_lt with ⟨L, _, hLf, hL_tendsto⟩
have : ∀ n, ∃ g : α → ℝ≥0∞, Measurable g ∧ g ≤ f ∧ L n < ∫⁻ a, g a ∂μ := by
intro n
simpa only [← iSup_lintegral_measurable_le_eq_lintegral f, lt_iSup_iff, exists_prop] using
(hLf n).2
choose g hgm hgf hLg using this
refine
⟨fun x => ⨆ n, g n x, measurable_iSup hgm, fun x => iSup_le fun n => hgf n x, le_antisymm ?_ ?_⟩
· refine le_of_tendsto' hL_tendsto fun n => (hLg n).le.trans <| lintegral_mono fun x => ?_
exact le_iSup (fun n => g n x) n
· exact lintegral_mono fun x => iSup_le fun n => hgf n x
#align measure_theory.exists_measurable_le_lintegral_eq MeasureTheory.exists_measurable_le_lintegral_eq
end
theorem lintegral_eq_nnreal {m : MeasurableSpace α} (f : α → ℝ≥0∞) (μ : Measure α) :
∫⁻ a, f a ∂μ =
⨆ (φ : α →ₛ ℝ≥0) (_ : ∀ x, ↑(φ x) ≤ f x), (φ.map ((↑) : ℝ≥0 → ℝ≥0∞)).lintegral μ := by
rw [lintegral]
refine
le_antisymm (iSup₂_le fun φ hφ => ?_) (iSup_mono' fun φ => ⟨φ.map ((↑) : ℝ≥0 → ℝ≥0∞), le_rfl⟩)
by_cases h : ∀ᵐ a ∂μ, φ a ≠ ∞
· let ψ := φ.map ENNReal.toNNReal
replace h : ψ.map ((↑) : ℝ≥0 → ℝ≥0∞) =ᵐ[μ] φ := h.mono fun a => ENNReal.coe_toNNReal
have : ∀ x, ↑(ψ x) ≤ f x := fun x => le_trans ENNReal.coe_toNNReal_le_self (hφ x)
exact
le_iSup_of_le (φ.map ENNReal.toNNReal) (le_iSup_of_le this (ge_of_eq <| lintegral_congr h))
· have h_meas : μ (φ ⁻¹' {∞}) ≠ 0 := mt measure_zero_iff_ae_nmem.1 h
refine le_trans le_top (ge_of_eq <| (iSup_eq_top _).2 fun b hb => ?_)
obtain ⟨n, hn⟩ : ∃ n : ℕ, b < n * μ (φ ⁻¹' {∞}) := exists_nat_mul_gt h_meas (ne_of_lt hb)
use (const α (n : ℝ≥0)).restrict (φ ⁻¹' {∞})
simp only [lt_iSup_iff, exists_prop, coe_restrict, φ.measurableSet_preimage, coe_const,
ENNReal.coe_indicator, map_coe_ennreal_restrict, SimpleFunc.map_const, ENNReal.coe_natCast,
restrict_const_lintegral]
refine ⟨indicator_le fun x hx => le_trans ?_ (hφ _), hn⟩
simp only [mem_preimage, mem_singleton_iff] at hx
simp only [hx, le_top]
#align measure_theory.lintegral_eq_nnreal MeasureTheory.lintegral_eq_nnreal
theorem exists_simpleFunc_forall_lintegral_sub_lt_of_pos {f : α → ℝ≥0∞} (h : ∫⁻ x, f x ∂μ ≠ ∞)
{ε : ℝ≥0∞} (hε : ε ≠ 0) :
∃ φ : α →ₛ ℝ≥0,
(∀ x, ↑(φ x) ≤ f x) ∧
∀ ψ : α →ₛ ℝ≥0, (∀ x, ↑(ψ x) ≤ f x) → (map (↑) (ψ - φ)).lintegral μ < ε := by
rw [lintegral_eq_nnreal] at h
have := ENNReal.lt_add_right h hε
erw [ENNReal.biSup_add] at this <;> [skip; exact ⟨0, fun x => zero_le _⟩]
simp_rw [lt_iSup_iff, iSup_lt_iff, iSup_le_iff] at this
rcases this with ⟨φ, hle : ∀ x, ↑(φ x) ≤ f x, b, hbφ, hb⟩
refine ⟨φ, hle, fun ψ hψ => ?_⟩
have : (map (↑) φ).lintegral μ ≠ ∞ := ne_top_of_le_ne_top h (by exact le_iSup₂ (α := ℝ≥0∞) φ hle)
rw [← ENNReal.add_lt_add_iff_left this, ← add_lintegral, ← SimpleFunc.map_add @ENNReal.coe_add]
refine (hb _ fun x => le_trans ?_ (max_le (hle x) (hψ x))).trans_lt hbφ
norm_cast
simp only [add_apply, sub_apply, add_tsub_eq_max]
rfl
#align measure_theory.exists_simple_func_forall_lintegral_sub_lt_of_pos MeasureTheory.exists_simpleFunc_forall_lintegral_sub_lt_of_pos
theorem iSup_lintegral_le {ι : Sort*} (f : ι → α → ℝ≥0∞) :
⨆ i, ∫⁻ a, f i a ∂μ ≤ ∫⁻ a, ⨆ i, f i a ∂μ := by
simp only [← iSup_apply]
exact (monotone_lintegral μ).le_map_iSup
#align measure_theory.supr_lintegral_le MeasureTheory.iSup_lintegral_le
theorem iSup₂_lintegral_le {ι : Sort*} {ι' : ι → Sort*} (f : ∀ i, ι' i → α → ℝ≥0∞) :
⨆ (i) (j), ∫⁻ a, f i j a ∂μ ≤ ∫⁻ a, ⨆ (i) (j), f i j a ∂μ := by
convert (monotone_lintegral μ).le_map_iSup₂ f with a
simp only [iSup_apply]
#align measure_theory.supr₂_lintegral_le MeasureTheory.iSup₂_lintegral_le
theorem le_iInf_lintegral {ι : Sort*} (f : ι → α → ℝ≥0∞) :
∫⁻ a, ⨅ i, f i a ∂μ ≤ ⨅ i, ∫⁻ a, f i a ∂μ := by
simp only [← iInf_apply]
exact (monotone_lintegral μ).map_iInf_le
#align measure_theory.le_infi_lintegral MeasureTheory.le_iInf_lintegral
theorem le_iInf₂_lintegral {ι : Sort*} {ι' : ι → Sort*} (f : ∀ i, ι' i → α → ℝ≥0∞) :
∫⁻ a, ⨅ (i) (h : ι' i), f i h a ∂μ ≤ ⨅ (i) (h : ι' i), ∫⁻ a, f i h a ∂μ := by
convert (monotone_lintegral μ).map_iInf₂_le f with a
simp only [iInf_apply]
#align measure_theory.le_infi₂_lintegral MeasureTheory.le_iInf₂_lintegral
theorem lintegral_mono_ae {f g : α → ℝ≥0∞} (h : ∀ᵐ a ∂μ, f a ≤ g a) :
∫⁻ a, f a ∂μ ≤ ∫⁻ a, g a ∂μ := by
rcases exists_measurable_superset_of_null h with ⟨t, hts, ht, ht0⟩
have : ∀ᵐ x ∂μ, x ∉ t := measure_zero_iff_ae_nmem.1 ht0
rw [lintegral, lintegral]
refine iSup_le fun s => iSup_le fun hfs => le_iSup_of_le (s.restrict tᶜ) <| le_iSup_of_le ?_ ?_
· intro a
by_cases h : a ∈ t <;>
simp only [restrict_apply s ht.compl, mem_compl_iff, h, not_true, not_false_eq_true,
indicator_of_not_mem, zero_le, not_false_eq_true, indicator_of_mem]
exact le_trans (hfs a) (_root_.by_contradiction fun hnfg => h (hts hnfg))
· refine le_of_eq (SimpleFunc.lintegral_congr <| this.mono fun a hnt => ?_)
by_cases hat : a ∈ t <;> simp only [restrict_apply s ht.compl, mem_compl_iff, hat, not_true,
not_false_eq_true, indicator_of_not_mem, not_false_eq_true, indicator_of_mem]
exact (hnt hat).elim
#align measure_theory.lintegral_mono_ae MeasureTheory.lintegral_mono_ae
theorem set_lintegral_mono_ae {s : Set α} {f g : α → ℝ≥0∞} (hf : Measurable f) (hg : Measurable g)
(hfg : ∀ᵐ x ∂μ, x ∈ s → f x ≤ g x) : ∫⁻ x in s, f x ∂μ ≤ ∫⁻ x in s, g x ∂μ :=
lintegral_mono_ae <| (ae_restrict_iff <| measurableSet_le hf hg).2 hfg
#align measure_theory.set_lintegral_mono_ae MeasureTheory.set_lintegral_mono_ae
theorem set_lintegral_mono {s : Set α} {f g : α → ℝ≥0∞} (hf : Measurable f) (hg : Measurable g)
(hfg : ∀ x ∈ s, f x ≤ g x) : ∫⁻ x in s, f x ∂μ ≤ ∫⁻ x in s, g x ∂μ :=
set_lintegral_mono_ae hf hg (ae_of_all _ hfg)
#align measure_theory.set_lintegral_mono MeasureTheory.set_lintegral_mono
theorem set_lintegral_mono_ae' {s : Set α} {f g : α → ℝ≥0∞} (hs : MeasurableSet s)
(hfg : ∀ᵐ x ∂μ, x ∈ s → f x ≤ g x) : ∫⁻ x in s, f x ∂μ ≤ ∫⁻ x in s, g x ∂μ :=
lintegral_mono_ae <| (ae_restrict_iff' hs).2 hfg
theorem set_lintegral_mono' {s : Set α} {f g : α → ℝ≥0∞} (hs : MeasurableSet s)
(hfg : ∀ x ∈ s, f x ≤ g x) : ∫⁻ x in s, f x ∂μ ≤ ∫⁻ x in s, g x ∂μ :=
set_lintegral_mono_ae' hs (ae_of_all _ hfg)
theorem set_lintegral_le_lintegral (s : Set α) (f : α → ℝ≥0∞) :
∫⁻ x in s, f x ∂μ ≤ ∫⁻ x, f x ∂μ :=
lintegral_mono' Measure.restrict_le_self le_rfl
theorem lintegral_congr_ae {f g : α → ℝ≥0∞} (h : f =ᵐ[μ] g) : ∫⁻ a, f a ∂μ = ∫⁻ a, g a ∂μ :=
le_antisymm (lintegral_mono_ae <| h.le) (lintegral_mono_ae <| h.symm.le)
#align measure_theory.lintegral_congr_ae MeasureTheory.lintegral_congr_ae
theorem lintegral_congr {f g : α → ℝ≥0∞} (h : ∀ a, f a = g a) : ∫⁻ a, f a ∂μ = ∫⁻ a, g a ∂μ := by
simp only [h]
#align measure_theory.lintegral_congr MeasureTheory.lintegral_congr
theorem set_lintegral_congr {f : α → ℝ≥0∞} {s t : Set α} (h : s =ᵐ[μ] t) :
∫⁻ x in s, f x ∂μ = ∫⁻ x in t, f x ∂μ := by rw [Measure.restrict_congr_set h]
#align measure_theory.set_lintegral_congr MeasureTheory.set_lintegral_congr
theorem set_lintegral_congr_fun {f g : α → ℝ≥0∞} {s : Set α} (hs : MeasurableSet s)
(hfg : ∀ᵐ x ∂μ, x ∈ s → f x = g x) : ∫⁻ x in s, f x ∂μ = ∫⁻ x in s, g x ∂μ := by
rw [lintegral_congr_ae]
rw [EventuallyEq]
rwa [ae_restrict_iff' hs]
#align measure_theory.set_lintegral_congr_fun MeasureTheory.set_lintegral_congr_fun
theorem lintegral_ofReal_le_lintegral_nnnorm (f : α → ℝ) :
∫⁻ x, ENNReal.ofReal (f x) ∂μ ≤ ∫⁻ x, ‖f x‖₊ ∂μ := by
simp_rw [← ofReal_norm_eq_coe_nnnorm]
refine lintegral_mono fun x => ENNReal.ofReal_le_ofReal ?_
rw [Real.norm_eq_abs]
exact le_abs_self (f x)
#align measure_theory.lintegral_of_real_le_lintegral_nnnorm MeasureTheory.lintegral_ofReal_le_lintegral_nnnorm
theorem lintegral_nnnorm_eq_of_ae_nonneg {f : α → ℝ} (h_nonneg : 0 ≤ᵐ[μ] f) :
∫⁻ x, ‖f x‖₊ ∂μ = ∫⁻ x, ENNReal.ofReal (f x) ∂μ := by
apply lintegral_congr_ae
filter_upwards [h_nonneg] with x hx
rw [Real.nnnorm_of_nonneg hx, ENNReal.ofReal_eq_coe_nnreal hx]
#align measure_theory.lintegral_nnnorm_eq_of_ae_nonneg MeasureTheory.lintegral_nnnorm_eq_of_ae_nonneg
theorem lintegral_nnnorm_eq_of_nonneg {f : α → ℝ} (h_nonneg : 0 ≤ f) :
∫⁻ x, ‖f x‖₊ ∂μ = ∫⁻ x, ENNReal.ofReal (f x) ∂μ :=
lintegral_nnnorm_eq_of_ae_nonneg (Filter.eventually_of_forall h_nonneg)
#align measure_theory.lintegral_nnnorm_eq_of_nonneg MeasureTheory.lintegral_nnnorm_eq_of_nonneg
theorem lintegral_iSup {f : ℕ → α → ℝ≥0∞} (hf : ∀ n, Measurable (f n)) (h_mono : Monotone f) :
∫⁻ a, ⨆ n, f n a ∂μ = ⨆ n, ∫⁻ a, f n a ∂μ := by
set c : ℝ≥0 → ℝ≥0∞ := (↑)
set F := fun a : α => ⨆ n, f n a
refine le_antisymm ?_ (iSup_lintegral_le _)
rw [lintegral_eq_nnreal]
refine iSup_le fun s => iSup_le fun hsf => ?_
refine ENNReal.le_of_forall_lt_one_mul_le fun a ha => ?_
rcases ENNReal.lt_iff_exists_coe.1 ha with ⟨r, rfl, _⟩
have ha : r < 1 := ENNReal.coe_lt_coe.1 ha
let rs := s.map fun a => r * a
have eq_rs : rs.map c = (const α r : α →ₛ ℝ≥0∞) * map c s := rfl
have eq : ∀ p, rs.map c ⁻¹' {p} = ⋃ n, rs.map c ⁻¹' {p} ∩ { a | p ≤ f n a } := by
intro p
rw [← inter_iUnion]; nth_rw 1 [← inter_univ (map c rs ⁻¹' {p})]
refine Set.ext fun x => and_congr_right fun hx => true_iff_iff.2 ?_
by_cases p_eq : p = 0
· simp [p_eq]
simp only [coe_map, mem_preimage, Function.comp_apply, mem_singleton_iff] at hx
subst hx
have : r * s x ≠ 0 := by rwa [Ne, ← ENNReal.coe_eq_zero]
have : s x ≠ 0 := right_ne_zero_of_mul this
have : (rs.map c) x < ⨆ n : ℕ, f n x := by
refine lt_of_lt_of_le (ENNReal.coe_lt_coe.2 ?_) (hsf x)
suffices r * s x < 1 * s x by simpa
exact mul_lt_mul_of_pos_right ha (pos_iff_ne_zero.2 this)
rcases lt_iSup_iff.1 this with ⟨i, hi⟩
exact mem_iUnion.2 ⟨i, le_of_lt hi⟩
have mono : ∀ r : ℝ≥0∞, Monotone fun n => rs.map c ⁻¹' {r} ∩ { a | r ≤ f n a } := by
intro r i j h
refine inter_subset_inter_right _ ?_
simp_rw [subset_def, mem_setOf]
intro x hx
exact le_trans hx (h_mono h x)
have h_meas : ∀ n, MeasurableSet {a : α | map c rs a ≤ f n a} := fun n =>
measurableSet_le (SimpleFunc.measurable _) (hf n)
calc
(r : ℝ≥0∞) * (s.map c).lintegral μ = ∑ r ∈ (rs.map c).range, r * μ (rs.map c ⁻¹' {r}) := by
rw [← const_mul_lintegral, eq_rs, SimpleFunc.lintegral]
_ = ∑ r ∈ (rs.map c).range, r * μ (⋃ n, rs.map c ⁻¹' {r} ∩ { a | r ≤ f n a }) := by
simp only [(eq _).symm]
_ = ∑ r ∈ (rs.map c).range, ⨆ n, r * μ (rs.map c ⁻¹' {r} ∩ { a | r ≤ f n a }) :=
(Finset.sum_congr rfl fun x _ => by
rw [measure_iUnion_eq_iSup (mono x).directed_le, ENNReal.mul_iSup])
_ = ⨆ n, ∑ r ∈ (rs.map c).range, r * μ (rs.map c ⁻¹' {r} ∩ { a | r ≤ f n a }) := by
refine ENNReal.finset_sum_iSup_nat fun p i j h ↦ ?_
gcongr _ * μ ?_
exact mono p h
_ ≤ ⨆ n : ℕ, ((rs.map c).restrict { a | (rs.map c) a ≤ f n a }).lintegral μ := by
gcongr with n
rw [restrict_lintegral _ (h_meas n)]
refine le_of_eq (Finset.sum_congr rfl fun r _ => ?_)
congr 2 with a
refine and_congr_right ?_
simp (config := { contextual := true })
_ ≤ ⨆ n, ∫⁻ a, f n a ∂μ := by
simp only [← SimpleFunc.lintegral_eq_lintegral]
gcongr with n a
simp only [map_apply] at h_meas
simp only [coe_map, restrict_apply _ (h_meas _), (· ∘ ·)]
exact indicator_apply_le id
#align measure_theory.lintegral_supr MeasureTheory.lintegral_iSup
theorem lintegral_iSup' {f : ℕ → α → ℝ≥0∞} (hf : ∀ n, AEMeasurable (f n) μ)
(h_mono : ∀ᵐ x ∂μ, Monotone fun n => f n x) : ∫⁻ a, ⨆ n, f n a ∂μ = ⨆ n, ∫⁻ a, f n a ∂μ := by
simp_rw [← iSup_apply]
let p : α → (ℕ → ℝ≥0∞) → Prop := fun _ f' => Monotone f'
have hp : ∀ᵐ x ∂μ, p x fun i => f i x := h_mono
have h_ae_seq_mono : Monotone (aeSeq hf p) := by
intro n m hnm x
by_cases hx : x ∈ aeSeqSet hf p
· exact aeSeq.prop_of_mem_aeSeqSet hf hx hnm
· simp only [aeSeq, hx, if_false, le_rfl]
rw [lintegral_congr_ae (aeSeq.iSup hf hp).symm]
simp_rw [iSup_apply]
rw [lintegral_iSup (aeSeq.measurable hf p) h_ae_seq_mono]
congr with n
exact lintegral_congr_ae (aeSeq.aeSeq_n_eq_fun_n_ae hf hp n)
#align measure_theory.lintegral_supr' MeasureTheory.lintegral_iSup'
theorem lintegral_tendsto_of_tendsto_of_monotone {f : ℕ → α → ℝ≥0∞} {F : α → ℝ≥0∞}
(hf : ∀ n, AEMeasurable (f n) μ) (h_mono : ∀ᵐ x ∂μ, Monotone fun n => f n x)
(h_tendsto : ∀ᵐ x ∂μ, Tendsto (fun n => f n x) atTop (𝓝 <| F x)) :
Tendsto (fun n => ∫⁻ x, f n x ∂μ) atTop (𝓝 <| ∫⁻ x, F x ∂μ) := by
have : Monotone fun n => ∫⁻ x, f n x ∂μ := fun i j hij =>
lintegral_mono_ae (h_mono.mono fun x hx => hx hij)
suffices key : ∫⁻ x, F x ∂μ = ⨆ n, ∫⁻ x, f n x ∂μ by
rw [key]
exact tendsto_atTop_iSup this
rw [← lintegral_iSup' hf h_mono]
refine lintegral_congr_ae ?_
filter_upwards [h_mono, h_tendsto] with _ hx_mono hx_tendsto using
tendsto_nhds_unique hx_tendsto (tendsto_atTop_iSup hx_mono)
#align measure_theory.lintegral_tendsto_of_tendsto_of_monotone MeasureTheory.lintegral_tendsto_of_tendsto_of_monotone
theorem lintegral_eq_iSup_eapprox_lintegral {f : α → ℝ≥0∞} (hf : Measurable f) :
∫⁻ a, f a ∂μ = ⨆ n, (eapprox f n).lintegral μ :=
calc
∫⁻ a, f a ∂μ = ∫⁻ a, ⨆ n, (eapprox f n : α → ℝ≥0∞) a ∂μ := by
congr; ext a; rw [iSup_eapprox_apply f hf]
_ = ⨆ n, ∫⁻ a, (eapprox f n : α → ℝ≥0∞) a ∂μ := by
apply lintegral_iSup
· measurability
· intro i j h
exact monotone_eapprox f h
_ = ⨆ n, (eapprox f n).lintegral μ := by
congr; ext n; rw [(eapprox f n).lintegral_eq_lintegral]
#align measure_theory.lintegral_eq_supr_eapprox_lintegral MeasureTheory.lintegral_eq_iSup_eapprox_lintegral
theorem exists_pos_set_lintegral_lt_of_measure_lt {f : α → ℝ≥0∞} (h : ∫⁻ x, f x ∂μ ≠ ∞) {ε : ℝ≥0∞}
(hε : ε ≠ 0) : ∃ δ > 0, ∀ s, μ s < δ → ∫⁻ x in s, f x ∂μ < ε := by
rcases exists_between (pos_iff_ne_zero.mpr hε) with ⟨ε₂, hε₂0, hε₂ε⟩
rcases exists_between hε₂0 with ⟨ε₁, hε₁0, hε₁₂⟩
rcases exists_simpleFunc_forall_lintegral_sub_lt_of_pos h hε₁0.ne' with ⟨φ, _, hφ⟩
rcases φ.exists_forall_le with ⟨C, hC⟩
use (ε₂ - ε₁) / C, ENNReal.div_pos_iff.2 ⟨(tsub_pos_iff_lt.2 hε₁₂).ne', ENNReal.coe_ne_top⟩
refine fun s hs => lt_of_le_of_lt ?_ hε₂ε
simp only [lintegral_eq_nnreal, iSup_le_iff]
intro ψ hψ
calc
(map (↑) ψ).lintegral (μ.restrict s) ≤
(map (↑) φ).lintegral (μ.restrict s) + (map (↑) (ψ - φ)).lintegral (μ.restrict s) := by
rw [← SimpleFunc.add_lintegral, ← SimpleFunc.map_add @ENNReal.coe_add]
refine SimpleFunc.lintegral_mono (fun x => ?_) le_rfl
simp only [add_tsub_eq_max, le_max_right, coe_map, Function.comp_apply, SimpleFunc.coe_add,
SimpleFunc.coe_sub, Pi.add_apply, Pi.sub_apply, ENNReal.coe_max (φ x) (ψ x)]
_ ≤ (map (↑) φ).lintegral (μ.restrict s) + ε₁ := by
gcongr
refine le_trans ?_ (hφ _ hψ).le
exact SimpleFunc.lintegral_mono le_rfl Measure.restrict_le_self
_ ≤ (SimpleFunc.const α (C : ℝ≥0∞)).lintegral (μ.restrict s) + ε₁ := by
gcongr
exact SimpleFunc.lintegral_mono (fun x ↦ ENNReal.coe_le_coe.2 (hC x)) le_rfl
_ = C * μ s + ε₁ := by
simp only [← SimpleFunc.lintegral_eq_lintegral, coe_const, lintegral_const,
Measure.restrict_apply, MeasurableSet.univ, univ_inter, Function.const]
_ ≤ C * ((ε₂ - ε₁) / C) + ε₁ := by gcongr
_ ≤ ε₂ - ε₁ + ε₁ := by gcongr; apply mul_div_le
_ = ε₂ := tsub_add_cancel_of_le hε₁₂.le
#align measure_theory.exists_pos_set_lintegral_lt_of_measure_lt MeasureTheory.exists_pos_set_lintegral_lt_of_measure_lt
theorem tendsto_set_lintegral_zero {ι} {f : α → ℝ≥0∞} (h : ∫⁻ x, f x ∂μ ≠ ∞) {l : Filter ι}
{s : ι → Set α} (hl : Tendsto (μ ∘ s) l (𝓝 0)) :
Tendsto (fun i => ∫⁻ x in s i, f x ∂μ) l (𝓝 0) := by
simp only [ENNReal.nhds_zero, tendsto_iInf, tendsto_principal, mem_Iio,
← pos_iff_ne_zero] at hl ⊢
intro ε ε0
rcases exists_pos_set_lintegral_lt_of_measure_lt h ε0.ne' with ⟨δ, δ0, hδ⟩
exact (hl δ δ0).mono fun i => hδ _
#align measure_theory.tendsto_set_lintegral_zero MeasureTheory.tendsto_set_lintegral_zero
theorem le_lintegral_add (f g : α → ℝ≥0∞) :
∫⁻ a, f a ∂μ + ∫⁻ a, g a ∂μ ≤ ∫⁻ a, f a + g a ∂μ := by
simp only [lintegral]
refine ENNReal.biSup_add_biSup_le' (p := fun h : α →ₛ ℝ≥0∞ => h ≤ f)
(q := fun h : α →ₛ ℝ≥0∞ => h ≤ g) ⟨0, zero_le f⟩ ⟨0, zero_le g⟩ fun f' hf' g' hg' => ?_
exact le_iSup₂_of_le (f' + g') (add_le_add hf' hg') (add_lintegral _ _).ge
#align measure_theory.le_lintegral_add MeasureTheory.le_lintegral_add
-- Use stronger lemmas `lintegral_add_left`/`lintegral_add_right` instead
theorem lintegral_add_aux {f g : α → ℝ≥0∞} (hf : Measurable f) (hg : Measurable g) :
∫⁻ a, f a + g a ∂μ = ∫⁻ a, f a ∂μ + ∫⁻ a, g a ∂μ :=
calc
∫⁻ a, f a + g a ∂μ =
∫⁻ a, (⨆ n, (eapprox f n : α → ℝ≥0∞) a) + ⨆ n, (eapprox g n : α → ℝ≥0∞) a ∂μ := by
simp only [iSup_eapprox_apply, hf, hg]
_ = ∫⁻ a, ⨆ n, (eapprox f n + eapprox g n : α → ℝ≥0∞) a ∂μ := by
congr; funext a
rw [ENNReal.iSup_add_iSup_of_monotone]
· simp only [Pi.add_apply]
· intro i j h
exact monotone_eapprox _ h a
· intro i j h
exact monotone_eapprox _ h a
_ = ⨆ n, (eapprox f n).lintegral μ + (eapprox g n).lintegral μ := by
rw [lintegral_iSup]
· congr
funext n
rw [← SimpleFunc.add_lintegral, ← SimpleFunc.lintegral_eq_lintegral]
simp only [Pi.add_apply, SimpleFunc.coe_add]
· measurability
· intro i j h a
dsimp
gcongr <;> exact monotone_eapprox _ h _
_ = (⨆ n, (eapprox f n).lintegral μ) + ⨆ n, (eapprox g n).lintegral μ := by
refine (ENNReal.iSup_add_iSup_of_monotone ?_ ?_).symm <;>
· intro i j h
exact SimpleFunc.lintegral_mono (monotone_eapprox _ h) le_rfl
_ = ∫⁻ a, f a ∂μ + ∫⁻ a, g a ∂μ := by
rw [lintegral_eq_iSup_eapprox_lintegral hf, lintegral_eq_iSup_eapprox_lintegral hg]
#align measure_theory.lintegral_add_aux MeasureTheory.lintegral_add_aux
@[simp]
theorem lintegral_add_left {f : α → ℝ≥0∞} (hf : Measurable f) (g : α → ℝ≥0∞) :
∫⁻ a, f a + g a ∂μ = ∫⁻ a, f a ∂μ + ∫⁻ a, g a ∂μ := by
refine le_antisymm ?_ (le_lintegral_add _ _)
rcases exists_measurable_le_lintegral_eq μ fun a => f a + g a with ⟨φ, hφm, hφ_le, hφ_eq⟩
calc
∫⁻ a, f a + g a ∂μ = ∫⁻ a, φ a ∂μ := hφ_eq
_ ≤ ∫⁻ a, f a + (φ a - f a) ∂μ := lintegral_mono fun a => le_add_tsub
_ = ∫⁻ a, f a ∂μ + ∫⁻ a, φ a - f a ∂μ := lintegral_add_aux hf (hφm.sub hf)
_ ≤ ∫⁻ a, f a ∂μ + ∫⁻ a, g a ∂μ :=
add_le_add_left (lintegral_mono fun a => tsub_le_iff_left.2 <| hφ_le a) _
#align measure_theory.lintegral_add_left MeasureTheory.lintegral_add_left
theorem lintegral_add_left' {f : α → ℝ≥0∞} (hf : AEMeasurable f μ) (g : α → ℝ≥0∞) :
∫⁻ a, f a + g a ∂μ = ∫⁻ a, f a ∂μ + ∫⁻ a, g a ∂μ := by
rw [lintegral_congr_ae hf.ae_eq_mk, ← lintegral_add_left hf.measurable_mk,
lintegral_congr_ae (hf.ae_eq_mk.add (ae_eq_refl g))]
#align measure_theory.lintegral_add_left' MeasureTheory.lintegral_add_left'
theorem lintegral_add_right' (f : α → ℝ≥0∞) {g : α → ℝ≥0∞} (hg : AEMeasurable g μ) :
∫⁻ a, f a + g a ∂μ = ∫⁻ a, f a ∂μ + ∫⁻ a, g a ∂μ := by
simpa only [add_comm] using lintegral_add_left' hg f
#align measure_theory.lintegral_add_right' MeasureTheory.lintegral_add_right'
@[simp]
theorem lintegral_add_right (f : α → ℝ≥0∞) {g : α → ℝ≥0∞} (hg : Measurable g) :
∫⁻ a, f a + g a ∂μ = ∫⁻ a, f a ∂μ + ∫⁻ a, g a ∂μ :=
lintegral_add_right' f hg.aemeasurable
#align measure_theory.lintegral_add_right MeasureTheory.lintegral_add_right
@[simp]
theorem lintegral_smul_measure (c : ℝ≥0∞) (f : α → ℝ≥0∞) : ∫⁻ a, f a ∂c • μ = c * ∫⁻ a, f a ∂μ := by
simp only [lintegral, iSup_subtype', SimpleFunc.lintegral_smul, ENNReal.mul_iSup, smul_eq_mul]
#align measure_theory.lintegral_smul_measure MeasureTheory.lintegral_smul_measure
lemma set_lintegral_smul_measure (c : ℝ≥0∞) (f : α → ℝ≥0∞) (s : Set α) :
∫⁻ a in s, f a ∂(c • μ) = c * ∫⁻ a in s, f a ∂μ := by
rw [Measure.restrict_smul, lintegral_smul_measure]
@[simp]
theorem lintegral_sum_measure {m : MeasurableSpace α} {ι} (f : α → ℝ≥0∞) (μ : ι → Measure α) :
∫⁻ a, f a ∂Measure.sum μ = ∑' i, ∫⁻ a, f a ∂μ i := by
simp only [lintegral, iSup_subtype', SimpleFunc.lintegral_sum, ENNReal.tsum_eq_iSup_sum]
rw [iSup_comm]
congr; funext s
induction' s using Finset.induction_on with i s hi hs
· simp
simp only [Finset.sum_insert hi, ← hs]
refine (ENNReal.iSup_add_iSup ?_).symm
intro φ ψ
exact
⟨⟨φ ⊔ ψ, fun x => sup_le (φ.2 x) (ψ.2 x)⟩,
add_le_add (SimpleFunc.lintegral_mono le_sup_left le_rfl)
(Finset.sum_le_sum fun j _ => SimpleFunc.lintegral_mono le_sup_right le_rfl)⟩
#align measure_theory.lintegral_sum_measure MeasureTheory.lintegral_sum_measure
theorem hasSum_lintegral_measure {ι} {_ : MeasurableSpace α} (f : α → ℝ≥0∞) (μ : ι → Measure α) :
HasSum (fun i => ∫⁻ a, f a ∂μ i) (∫⁻ a, f a ∂Measure.sum μ) :=
(lintegral_sum_measure f μ).symm ▸ ENNReal.summable.hasSum
#align measure_theory.has_sum_lintegral_measure MeasureTheory.hasSum_lintegral_measure
@[simp]
theorem lintegral_add_measure {m : MeasurableSpace α} (f : α → ℝ≥0∞) (μ ν : Measure α) :
∫⁻ a, f a ∂(μ + ν) = ∫⁻ a, f a ∂μ + ∫⁻ a, f a ∂ν := by
simpa [tsum_fintype] using lintegral_sum_measure f fun b => cond b μ ν
#align measure_theory.lintegral_add_measure MeasureTheory.lintegral_add_measure
@[simp]
theorem lintegral_finset_sum_measure {ι} {m : MeasurableSpace α} (s : Finset ι) (f : α → ℝ≥0∞)
(μ : ι → Measure α) : ∫⁻ a, f a ∂(∑ i ∈ s, μ i) = ∑ i ∈ s, ∫⁻ a, f a ∂μ i := by
rw [← Measure.sum_coe_finset, lintegral_sum_measure, ← Finset.tsum_subtype']
simp only [Finset.coe_sort_coe]
#align measure_theory.lintegral_finset_sum_measure MeasureTheory.lintegral_finset_sum_measure
@[simp]
theorem lintegral_zero_measure {m : MeasurableSpace α} (f : α → ℝ≥0∞) :
∫⁻ a, f a ∂(0 : Measure α) = 0 := by
simp [lintegral]
#align measure_theory.lintegral_zero_measure MeasureTheory.lintegral_zero_measure
@[simp]
theorem lintegral_of_isEmpty {α} [MeasurableSpace α] [IsEmpty α] (μ : Measure α) (f : α → ℝ≥0∞) :
∫⁻ x, f x ∂μ = 0 := by
have : Subsingleton (Measure α) := inferInstance
convert lintegral_zero_measure f
theorem set_lintegral_empty (f : α → ℝ≥0∞) : ∫⁻ x in ∅, f x ∂μ = 0 := by
rw [Measure.restrict_empty, lintegral_zero_measure]
#align measure_theory.set_lintegral_empty MeasureTheory.set_lintegral_empty
theorem set_lintegral_univ (f : α → ℝ≥0∞) : ∫⁻ x in univ, f x ∂μ = ∫⁻ x, f x ∂μ := by
rw [Measure.restrict_univ]
#align measure_theory.set_lintegral_univ MeasureTheory.set_lintegral_univ
theorem set_lintegral_measure_zero (s : Set α) (f : α → ℝ≥0∞) (hs' : μ s = 0) :
∫⁻ x in s, f x ∂μ = 0 := by
convert lintegral_zero_measure _
exact Measure.restrict_eq_zero.2 hs'
#align measure_theory.set_lintegral_measure_zero MeasureTheory.set_lintegral_measure_zero
theorem lintegral_finset_sum' (s : Finset β) {f : β → α → ℝ≥0∞}
(hf : ∀ b ∈ s, AEMeasurable (f b) μ) :
∫⁻ a, ∑ b ∈ s, f b a ∂μ = ∑ b ∈ s, ∫⁻ a, f b a ∂μ := by
induction' s using Finset.induction_on with a s has ih
· simp
· simp only [Finset.sum_insert has]
rw [Finset.forall_mem_insert] at hf
rw [lintegral_add_left' hf.1, ih hf.2]
#align measure_theory.lintegral_finset_sum' MeasureTheory.lintegral_finset_sum'
theorem lintegral_finset_sum (s : Finset β) {f : β → α → ℝ≥0∞} (hf : ∀ b ∈ s, Measurable (f b)) :
∫⁻ a, ∑ b ∈ s, f b a ∂μ = ∑ b ∈ s, ∫⁻ a, f b a ∂μ :=
lintegral_finset_sum' s fun b hb => (hf b hb).aemeasurable
#align measure_theory.lintegral_finset_sum MeasureTheory.lintegral_finset_sum
@[simp]
theorem lintegral_const_mul (r : ℝ≥0∞) {f : α → ℝ≥0∞} (hf : Measurable f) :
∫⁻ a, r * f a ∂μ = r * ∫⁻ a, f a ∂μ :=
calc
∫⁻ a, r * f a ∂μ = ∫⁻ a, ⨆ n, (const α r * eapprox f n) a ∂μ := by
congr
funext a
rw [← iSup_eapprox_apply f hf, ENNReal.mul_iSup]
simp
_ = ⨆ n, r * (eapprox f n).lintegral μ := by
rw [lintegral_iSup]
· congr
funext n
rw [← SimpleFunc.const_mul_lintegral, ← SimpleFunc.lintegral_eq_lintegral]
· intro n
exact SimpleFunc.measurable _
· intro i j h a
exact mul_le_mul_left' (monotone_eapprox _ h _) _
_ = r * ∫⁻ a, f a ∂μ := by rw [← ENNReal.mul_iSup, lintegral_eq_iSup_eapprox_lintegral hf]
#align measure_theory.lintegral_const_mul MeasureTheory.lintegral_const_mul
theorem lintegral_const_mul'' (r : ℝ≥0∞) {f : α → ℝ≥0∞} (hf : AEMeasurable f μ) :
∫⁻ a, r * f a ∂μ = r * ∫⁻ a, f a ∂μ := by
have A : ∫⁻ a, f a ∂μ = ∫⁻ a, hf.mk f a ∂μ := lintegral_congr_ae hf.ae_eq_mk
have B : ∫⁻ a, r * f a ∂μ = ∫⁻ a, r * hf.mk f a ∂μ :=
lintegral_congr_ae (EventuallyEq.fun_comp hf.ae_eq_mk _)
rw [A, B, lintegral_const_mul _ hf.measurable_mk]
#align measure_theory.lintegral_const_mul'' MeasureTheory.lintegral_const_mul''
theorem lintegral_const_mul_le (r : ℝ≥0∞) (f : α → ℝ≥0∞) :
r * ∫⁻ a, f a ∂μ ≤ ∫⁻ a, r * f a ∂μ := by
rw [lintegral, ENNReal.mul_iSup]
refine iSup_le fun s => ?_
rw [ENNReal.mul_iSup, iSup_le_iff]
intro hs
rw [← SimpleFunc.const_mul_lintegral, lintegral]
refine le_iSup_of_le (const α r * s) (le_iSup_of_le (fun x => ?_) le_rfl)
exact mul_le_mul_left' (hs x) _
#align measure_theory.lintegral_const_mul_le MeasureTheory.lintegral_const_mul_le
theorem lintegral_const_mul' (r : ℝ≥0∞) (f : α → ℝ≥0∞) (hr : r ≠ ∞) :
∫⁻ a, r * f a ∂μ = r * ∫⁻ a, f a ∂μ := by
by_cases h : r = 0
· simp [h]
apply le_antisymm _ (lintegral_const_mul_le r f)
have rinv : r * r⁻¹ = 1 := ENNReal.mul_inv_cancel h hr
have rinv' : r⁻¹ * r = 1 := by
rw [mul_comm]
exact rinv
have := lintegral_const_mul_le (μ := μ) r⁻¹ fun x => r * f x
simp? [(mul_assoc _ _ _).symm, rinv'] at this says
simp only [(mul_assoc _ _ _).symm, rinv', one_mul] at this
simpa [(mul_assoc _ _ _).symm, rinv] using mul_le_mul_left' this r
#align measure_theory.lintegral_const_mul' MeasureTheory.lintegral_const_mul'
theorem lintegral_mul_const (r : ℝ≥0∞) {f : α → ℝ≥0∞} (hf : Measurable f) :
∫⁻ a, f a * r ∂μ = (∫⁻ a, f a ∂μ) * r := by simp_rw [mul_comm, lintegral_const_mul r hf]
#align measure_theory.lintegral_mul_const MeasureTheory.lintegral_mul_const
theorem lintegral_mul_const'' (r : ℝ≥0∞) {f : α → ℝ≥0∞} (hf : AEMeasurable f μ) :
∫⁻ a, f a * r ∂μ = (∫⁻ a, f a ∂μ) * r := by simp_rw [mul_comm, lintegral_const_mul'' r hf]
#align measure_theory.lintegral_mul_const'' MeasureTheory.lintegral_mul_const''
theorem lintegral_mul_const_le (r : ℝ≥0∞) (f : α → ℝ≥0∞) :
(∫⁻ a, f a ∂μ) * r ≤ ∫⁻ a, f a * r ∂μ := by
simp_rw [mul_comm, lintegral_const_mul_le r f]
#align measure_theory.lintegral_mul_const_le MeasureTheory.lintegral_mul_const_le
theorem lintegral_mul_const' (r : ℝ≥0∞) (f : α → ℝ≥0∞) (hr : r ≠ ∞) :
∫⁻ a, f a * r ∂μ = (∫⁻ a, f a ∂μ) * r := by simp_rw [mul_comm, lintegral_const_mul' r f hr]
#align measure_theory.lintegral_mul_const' MeasureTheory.lintegral_mul_const'
theorem lintegral_lintegral_mul {β} [MeasurableSpace β] {ν : Measure β} {f : α → ℝ≥0∞}
{g : β → ℝ≥0∞} (hf : AEMeasurable f μ) (hg : AEMeasurable g ν) :
∫⁻ x, ∫⁻ y, f x * g y ∂ν ∂μ = (∫⁻ x, f x ∂μ) * ∫⁻ y, g y ∂ν := by
simp [lintegral_const_mul'' _ hg, lintegral_mul_const'' _ hf]
#align measure_theory.lintegral_lintegral_mul MeasureTheory.lintegral_lintegral_mul
-- TODO: Need a better way of rewriting inside of an integral
theorem lintegral_rw₁ {f f' : α → β} (h : f =ᵐ[μ] f') (g : β → ℝ≥0∞) :
∫⁻ a, g (f a) ∂μ = ∫⁻ a, g (f' a) ∂μ :=
lintegral_congr_ae <| h.mono fun a h => by dsimp only; rw [h]
#align measure_theory.lintegral_rw₁ MeasureTheory.lintegral_rw₁
-- TODO: Need a better way of rewriting inside of an integral
theorem lintegral_rw₂ {f₁ f₁' : α → β} {f₂ f₂' : α → γ} (h₁ : f₁ =ᵐ[μ] f₁') (h₂ : f₂ =ᵐ[μ] f₂')
(g : β → γ → ℝ≥0∞) : ∫⁻ a, g (f₁ a) (f₂ a) ∂μ = ∫⁻ a, g (f₁' a) (f₂' a) ∂μ :=
lintegral_congr_ae <| h₁.mp <| h₂.mono fun _ h₂ h₁ => by dsimp only; rw [h₁, h₂]
#align measure_theory.lintegral_rw₂ MeasureTheory.lintegral_rw₂
theorem lintegral_indicator_le (f : α → ℝ≥0∞) (s : Set α) :
∫⁻ a, s.indicator f a ∂μ ≤ ∫⁻ a in s, f a ∂μ := by
simp only [lintegral]
apply iSup_le (fun g ↦ (iSup_le (fun hg ↦ ?_)))
have : g ≤ f := hg.trans (indicator_le_self s f)
refine le_iSup_of_le g (le_iSup_of_le this (le_of_eq ?_))
rw [lintegral_restrict, SimpleFunc.lintegral]
congr with t
by_cases H : t = 0
· simp [H]
congr with x
simp only [mem_preimage, mem_singleton_iff, mem_inter_iff, iff_self_and]
rintro rfl
contrapose! H
simpa [H] using hg x
@[simp]
theorem lintegral_indicator (f : α → ℝ≥0∞) {s : Set α} (hs : MeasurableSet s) :
∫⁻ a, s.indicator f a ∂μ = ∫⁻ a in s, f a ∂μ := by
apply le_antisymm (lintegral_indicator_le f s)
simp only [lintegral, ← restrict_lintegral_eq_lintegral_restrict _ hs, iSup_subtype']
refine iSup_mono' (Subtype.forall.2 fun φ hφ => ?_)
refine ⟨⟨φ.restrict s, fun x => ?_⟩, le_rfl⟩
simp [hφ x, hs, indicator_le_indicator]
#align measure_theory.lintegral_indicator MeasureTheory.lintegral_indicator
theorem lintegral_indicator₀ (f : α → ℝ≥0∞) {s : Set α} (hs : NullMeasurableSet s μ) :
∫⁻ a, s.indicator f a ∂μ = ∫⁻ a in s, f a ∂μ := by
rw [← lintegral_congr_ae (indicator_ae_eq_of_ae_eq_set hs.toMeasurable_ae_eq),
lintegral_indicator _ (measurableSet_toMeasurable _ _),
Measure.restrict_congr_set hs.toMeasurable_ae_eq]
#align measure_theory.lintegral_indicator₀ MeasureTheory.lintegral_indicator₀
theorem lintegral_indicator_const_le (s : Set α) (c : ℝ≥0∞) :
∫⁻ a, s.indicator (fun _ => c) a ∂μ ≤ c * μ s :=
(lintegral_indicator_le _ _).trans (set_lintegral_const s c).le
| Mathlib/MeasureTheory/Integral/Lebesgue.lean | 797 | 799 | theorem lintegral_indicator_const₀ {s : Set α} (hs : NullMeasurableSet s μ) (c : ℝ≥0∞) :
∫⁻ a, s.indicator (fun _ => c) a ∂μ = c * μ s := by |
rw [lintegral_indicator₀ _ hs, set_lintegral_const]
|
import Batteries.Data.RBMap.Alter
import Batteries.Data.List.Lemmas
namespace Batteries
namespace RBNode
open RBColor
attribute [simp] fold foldl foldr Any forM foldlM Ordered
@[simp] theorem min?_reverse (t : RBNode α) : t.reverse.min? = t.max? := by
unfold RBNode.max?; split <;> simp [RBNode.min?]
unfold RBNode.min?; rw [min?.match_1.eq_3]
· apply min?_reverse
· simpa [reverse_eq_iff]
@[simp] theorem max?_reverse (t : RBNode α) : t.reverse.max? = t.min? := by
rw [← min?_reverse, reverse_reverse]
@[simp] theorem mem_nil {x} : ¬x ∈ (.nil : RBNode α) := by simp [(·∈·), EMem]
@[simp] theorem mem_node {y c a x b} :
y ∈ (.node c a x b : RBNode α) ↔ y = x ∨ y ∈ a ∨ y ∈ b := by simp [(·∈·), EMem]
theorem All_def {t : RBNode α} : t.All p ↔ ∀ x ∈ t, p x := by
induction t <;> simp [or_imp, forall_and, *]
theorem Any_def {t : RBNode α} : t.Any p ↔ ∃ x ∈ t, p x := by
induction t <;> simp [or_and_right, exists_or, *]
theorem memP_def : MemP cut t ↔ ∃ x ∈ t, cut x = .eq := Any_def
theorem mem_def : Mem cmp x t ↔ ∃ y ∈ t, cmp x y = .eq := Any_def
theorem mem_congr [@TransCmp α cmp] {t : RBNode α} (h : cmp x y = .eq) :
Mem cmp x t ↔ Mem cmp y t := by simp [Mem, TransCmp.cmp_congr_left' h]
theorem isOrdered_iff' [@TransCmp α cmp] {t : RBNode α} :
isOrdered cmp t L R ↔
(∀ a ∈ L, t.All (cmpLT cmp a ·)) ∧
(∀ a ∈ R, t.All (cmpLT cmp · a)) ∧
(∀ a ∈ L, ∀ b ∈ R, cmpLT cmp a b) ∧
Ordered cmp t := by
induction t generalizing L R with
| nil =>
simp [isOrdered]; split <;> simp [cmpLT_iff]
next h => intro _ ha _ hb; cases h _ _ ha hb
| node _ l v r =>
simp [isOrdered, *]
exact ⟨
fun ⟨⟨Ll, lv, Lv, ol⟩, ⟨vr, rR, vR, or⟩⟩ => ⟨
fun _ h => ⟨Lv _ h, Ll _ h, (Lv _ h).trans_l vr⟩,
fun _ h => ⟨vR _ h, (vR _ h).trans_r lv, rR _ h⟩,
fun _ hL _ hR => (Lv _ hL).trans (vR _ hR),
lv, vr, ol, or⟩,
fun ⟨hL, hR, _, lv, vr, ol, or⟩ => ⟨
⟨fun _ h => (hL _ h).2.1, lv, fun _ h => (hL _ h).1, ol⟩,
⟨vr, fun _ h => (hR _ h).2.2, fun _ h => (hR _ h).1, or⟩⟩⟩
theorem isOrdered_iff [@TransCmp α cmp] {t : RBNode α} :
isOrdered cmp t ↔ Ordered cmp t := by simp [isOrdered_iff']
instance (cmp) [@TransCmp α cmp] (t) : Decidable (Ordered cmp t) := decidable_of_iff _ isOrdered_iff
class IsCut (cmp : α → α → Ordering) (cut : α → Ordering) : Prop where
le_lt_trans [TransCmp cmp] : cmp x y ≠ .gt → cut x = .lt → cut y = .lt
le_gt_trans [TransCmp cmp] : cmp x y ≠ .gt → cut y = .gt → cut x = .gt
theorem IsCut.lt_trans [IsCut cmp cut] [TransCmp cmp]
(H : cmp x y = .lt) : cut x = .lt → cut y = .lt :=
IsCut.le_lt_trans <| TransCmp.gt_asymm <| OrientedCmp.cmp_eq_gt.2 H
theorem IsCut.gt_trans [IsCut cmp cut] [TransCmp cmp]
(H : cmp x y = .lt) : cut y = .gt → cut x = .gt :=
IsCut.le_gt_trans <| TransCmp.gt_asymm <| OrientedCmp.cmp_eq_gt.2 H
theorem IsCut.congr [IsCut cmp cut] [TransCmp cmp] (H : cmp x y = .eq) : cut x = cut y := by
cases ey : cut y
· exact IsCut.le_lt_trans (fun h => nomatch H.symm.trans <| OrientedCmp.cmp_eq_gt.1 h) ey
· cases ex : cut x
· exact IsCut.le_lt_trans (fun h => nomatch H.symm.trans h) ex |>.symm.trans ey
· rfl
· refine IsCut.le_gt_trans (cmp := cmp) (fun h => ?_) ex |>.symm.trans ey
cases H.symm.trans <| OrientedCmp.cmp_eq_gt.1 h
· exact IsCut.le_gt_trans (fun h => nomatch H.symm.trans h) ey
instance (cmp cut) [@IsCut α cmp cut] : IsCut (flip cmp) (cut · |>.swap) where
le_lt_trans h₁ h₂ := by
have : TransCmp cmp := inferInstanceAs (TransCmp (flip (flip cmp)))
rw [IsCut.le_gt_trans (cmp := cmp) h₁ (Ordering.swap_inj.1 h₂)]; rfl
le_gt_trans h₁ h₂ := by
have : TransCmp cmp := inferInstanceAs (TransCmp (flip (flip cmp)))
rw [IsCut.le_lt_trans (cmp := cmp) h₁ (Ordering.swap_inj.1 h₂)]; rfl
class IsStrictCut (cmp : α → α → Ordering) (cut : α → Ordering) extends IsCut cmp cut : Prop where
exact [TransCmp cmp] : cut x = .eq → cmp x y = cut y
instance (cmp) (a : α) : IsStrictCut cmp (cmp a) where
le_lt_trans h₁ h₂ := TransCmp.lt_le_trans h₂ h₁
le_gt_trans h₁ := Decidable.not_imp_not.1 (TransCmp.le_trans · h₁)
exact h := (TransCmp.cmp_congr_left h).symm
instance (cmp cut) [@IsStrictCut α cmp cut] : IsStrictCut (flip cmp) (cut · |>.swap) where
exact h := by
have : TransCmp cmp := inferInstanceAs (TransCmp (flip (flip cmp)))
rw [← IsStrictCut.exact (cmp := cmp) (Ordering.swap_inj.1 h), OrientedCmp.symm]; rfl
section fold
theorem foldr_cons (t : RBNode α) (l) : t.foldr (·::·) l = t.toList ++ l := by
unfold toList
induction t generalizing l with
| nil => rfl
| node _ a _ b iha ihb => rw [foldr, foldr, iha, iha (_::_), ihb]; simp
@[simp] theorem toList_nil : (.nil : RBNode α).toList = [] := rfl
@[simp] theorem toList_node : (.node c a x b : RBNode α).toList = a.toList ++ x :: b.toList := by
rw [toList, foldr, foldr_cons]; rfl
@[simp] theorem toList_reverse (t : RBNode α) : t.reverse.toList = t.toList.reverse := by
induction t <;> simp [*]
@[simp] theorem mem_toList {t : RBNode α} : x ∈ t.toList ↔ x ∈ t := by
induction t <;> simp [*, or_left_comm]
@[simp] theorem mem_reverse {t : RBNode α} : a ∈ t.reverse ↔ a ∈ t := by rw [← mem_toList]; simp
theorem min?_eq_toList_head? {t : RBNode α} : t.min? = t.toList.head? := by
induction t with
| nil => rfl
| node _ l _ _ ih =>
cases l <;> simp [RBNode.min?, ih]
next ll _ _ => cases toList ll <;> rfl
theorem max?_eq_toList_getLast? {t : RBNode α} : t.max? = t.toList.getLast? := by
rw [← min?_reverse, min?_eq_toList_head?]; simp
| .lake/packages/batteries/Batteries/Data/RBMap/Lemmas.lean | 160 | 161 | theorem foldr_eq_foldr_toList {t : RBNode α} : t.foldr f init = t.toList.foldr f init := by |
induction t generalizing init <;> simp [*]
|
import Mathlib.Dynamics.Ergodic.MeasurePreserving
import Mathlib.LinearAlgebra.Determinant
import Mathlib.LinearAlgebra.Matrix.Diagonal
import Mathlib.LinearAlgebra.Matrix.Transvection
import Mathlib.MeasureTheory.Group.LIntegral
import Mathlib.MeasureTheory.Integral.Marginal
import Mathlib.MeasureTheory.Measure.Stieltjes
import Mathlib.MeasureTheory.Measure.Haar.OfBasis
#align_import measure_theory.measure.lebesgue.basic from "leanprover-community/mathlib"@"fd5edc43dc4f10b85abfe544b88f82cf13c5f844"
assert_not_exists MeasureTheory.integral
noncomputable section
open scoped Classical
open Set Filter MeasureTheory MeasureTheory.Measure TopologicalSpace
open ENNReal (ofReal)
open scoped ENNReal NNReal Topology
namespace Real
variable {ι : Type*} [Fintype ι]
theorem volume_eq_stieltjes_id : (volume : Measure ℝ) = StieltjesFunction.id.measure := by
haveI : IsAddLeftInvariant StieltjesFunction.id.measure :=
⟨fun a =>
Eq.symm <|
Real.measure_ext_Ioo_rat fun p q => by
simp only [Measure.map_apply (measurable_const_add a) measurableSet_Ioo,
sub_sub_sub_cancel_right, StieltjesFunction.measure_Ioo, StieltjesFunction.id_leftLim,
StieltjesFunction.id_apply, id, preimage_const_add_Ioo]⟩
have A : StieltjesFunction.id.measure (stdOrthonormalBasis ℝ ℝ).toBasis.parallelepiped = 1 := by
change StieltjesFunction.id.measure (parallelepiped (stdOrthonormalBasis ℝ ℝ)) = 1
rcases parallelepiped_orthonormalBasis_one_dim (stdOrthonormalBasis ℝ ℝ) with (H | H) <;>
simp only [H, StieltjesFunction.measure_Icc, StieltjesFunction.id_apply, id, tsub_zero,
StieltjesFunction.id_leftLim, sub_neg_eq_add, zero_add, ENNReal.ofReal_one]
conv_rhs =>
rw [addHaarMeasure_unique StieltjesFunction.id.measure
(stdOrthonormalBasis ℝ ℝ).toBasis.parallelepiped, A]
simp only [volume, Basis.addHaar, one_smul]
#align real.volume_eq_stieltjes_id Real.volume_eq_stieltjes_id
theorem volume_val (s) : volume s = StieltjesFunction.id.measure s := by
simp [volume_eq_stieltjes_id]
#align real.volume_val Real.volume_val
@[simp]
theorem volume_Ico {a b : ℝ} : volume (Ico a b) = ofReal (b - a) := by simp [volume_val]
#align real.volume_Ico Real.volume_Ico
@[simp]
theorem volume_Icc {a b : ℝ} : volume (Icc a b) = ofReal (b - a) := by simp [volume_val]
#align real.volume_Icc Real.volume_Icc
@[simp]
theorem volume_Ioo {a b : ℝ} : volume (Ioo a b) = ofReal (b - a) := by simp [volume_val]
#align real.volume_Ioo Real.volume_Ioo
@[simp]
theorem volume_Ioc {a b : ℝ} : volume (Ioc a b) = ofReal (b - a) := by simp [volume_val]
#align real.volume_Ioc Real.volume_Ioc
-- @[simp] -- Porting note (#10618): simp can prove this
theorem volume_singleton {a : ℝ} : volume ({a} : Set ℝ) = 0 := by simp [volume_val]
#align real.volume_singleton Real.volume_singleton
-- @[simp] -- Porting note (#10618): simp can prove this, after mathlib4#4628
theorem volume_univ : volume (univ : Set ℝ) = ∞ :=
ENNReal.eq_top_of_forall_nnreal_le fun r =>
calc
(r : ℝ≥0∞) = volume (Icc (0 : ℝ) r) := by simp
_ ≤ volume univ := measure_mono (subset_univ _)
#align real.volume_univ Real.volume_univ
@[simp]
theorem volume_ball (a r : ℝ) : volume (Metric.ball a r) = ofReal (2 * r) := by
rw [ball_eq_Ioo, volume_Ioo, ← sub_add, add_sub_cancel_left, two_mul]
#align real.volume_ball Real.volume_ball
@[simp]
theorem volume_closedBall (a r : ℝ) : volume (Metric.closedBall a r) = ofReal (2 * r) := by
rw [closedBall_eq_Icc, volume_Icc, ← sub_add, add_sub_cancel_left, two_mul]
#align real.volume_closed_ball Real.volume_closedBall
@[simp]
theorem volume_emetric_ball (a : ℝ) (r : ℝ≥0∞) : volume (EMetric.ball a r) = 2 * r := by
rcases eq_or_ne r ∞ with (rfl | hr)
· rw [Metric.emetric_ball_top, volume_univ, two_mul, _root_.top_add]
· lift r to ℝ≥0 using hr
rw [Metric.emetric_ball_nnreal, volume_ball, two_mul, ← NNReal.coe_add,
ENNReal.ofReal_coe_nnreal, ENNReal.coe_add, two_mul]
#align real.volume_emetric_ball Real.volume_emetric_ball
@[simp]
theorem volume_emetric_closedBall (a : ℝ) (r : ℝ≥0∞) : volume (EMetric.closedBall a r) = 2 * r := by
rcases eq_or_ne r ∞ with (rfl | hr)
· rw [EMetric.closedBall_top, volume_univ, two_mul, _root_.top_add]
· lift r to ℝ≥0 using hr
rw [Metric.emetric_closedBall_nnreal, volume_closedBall, two_mul, ← NNReal.coe_add,
ENNReal.ofReal_coe_nnreal, ENNReal.coe_add, two_mul]
#align real.volume_emetric_closed_ball Real.volume_emetric_closedBall
instance noAtoms_volume : NoAtoms (volume : Measure ℝ) :=
⟨fun _ => volume_singleton⟩
#align real.has_no_atoms_volume Real.noAtoms_volume
@[simp]
theorem volume_interval {a b : ℝ} : volume (uIcc a b) = ofReal |b - a| := by
rw [← Icc_min_max, volume_Icc, max_sub_min_eq_abs]
#align real.volume_interval Real.volume_interval
@[simp]
theorem volume_Ioi {a : ℝ} : volume (Ioi a) = ∞ :=
top_unique <|
le_of_tendsto' ENNReal.tendsto_nat_nhds_top fun n =>
calc
(n : ℝ≥0∞) = volume (Ioo a (a + n)) := by simp
_ ≤ volume (Ioi a) := measure_mono Ioo_subset_Ioi_self
#align real.volume_Ioi Real.volume_Ioi
@[simp]
| Mathlib/MeasureTheory/Measure/Lebesgue/Basic.lean | 154 | 154 | theorem volume_Ici {a : ℝ} : volume (Ici a) = ∞ := by | rw [← measure_congr Ioi_ae_eq_Ici]; simp
|
import Mathlib.MeasureTheory.Integral.Lebesgue
import Mathlib.Analysis.MeanInequalities
import Mathlib.Analysis.MeanInequalitiesPow
import Mathlib.MeasureTheory.Function.SpecialFunctions.Basic
#align_import measure_theory.integral.mean_inequalities from "leanprover-community/mathlib"@"13bf7613c96a9fd66a81b9020a82cad9a6ea1fcf"
section LIntegral
noncomputable section
open scoped Classical
open NNReal ENNReal MeasureTheory Finset
set_option linter.uppercaseLean3 false
variable {α : Type*} [MeasurableSpace α] {μ : Measure α}
namespace ENNReal
theorem lintegral_mul_le_one_of_lintegral_rpow_eq_one {p q : ℝ} (hpq : p.IsConjExponent q)
{f g : α → ℝ≥0∞} (hf : AEMeasurable f μ) (hf_norm : ∫⁻ a, f a ^ p ∂μ = 1)
(hg_norm : ∫⁻ a, g a ^ q ∂μ = 1) : (∫⁻ a, (f * g) a ∂μ) ≤ 1 := by
calc
(∫⁻ a : α, (f * g) a ∂μ) ≤
∫⁻ a : α, f a ^ p / ENNReal.ofReal p + g a ^ q / ENNReal.ofReal q ∂μ :=
lintegral_mono fun a => young_inequality (f a) (g a) hpq
_ = 1 := by
simp only [div_eq_mul_inv]
rw [lintegral_add_left']
· rw [lintegral_mul_const'' _ (hf.pow_const p), lintegral_mul_const', hf_norm, hg_norm,
one_mul, one_mul, hpq.inv_add_inv_conj_ennreal]
simp [hpq.symm.pos]
· exact (hf.pow_const _).mul_const _
#align ennreal.lintegral_mul_le_one_of_lintegral_rpow_eq_one ENNReal.lintegral_mul_le_one_of_lintegral_rpow_eq_one
def funMulInvSnorm (f : α → ℝ≥0∞) (p : ℝ) (μ : Measure α) : α → ℝ≥0∞ := fun a =>
f a * ((∫⁻ c, f c ^ p ∂μ) ^ (1 / p))⁻¹
#align ennreal.fun_mul_inv_snorm ENNReal.funMulInvSnorm
| Mathlib/MeasureTheory/Integral/MeanInequalities.lean | 87 | 90 | theorem fun_eq_funMulInvSnorm_mul_snorm {p : ℝ} (f : α → ℝ≥0∞) (hf_nonzero : (∫⁻ a, f a ^ p ∂μ) ≠ 0)
(hf_top : (∫⁻ a, f a ^ p ∂μ) ≠ ⊤) {a : α} :
f a = funMulInvSnorm f p μ a * (∫⁻ c, f c ^ p ∂μ) ^ (1 / p) := by |
simp [funMulInvSnorm, mul_assoc, ENNReal.inv_mul_cancel, hf_nonzero, hf_top]
|
import Mathlib.Combinatorics.SimpleGraph.AdjMatrix
import Mathlib.LinearAlgebra.Matrix.PosDef
open Finset Matrix
namespace SimpleGraph
variable {V : Type*} (R : Type*)
variable [Fintype V] [DecidableEq V] (G : SimpleGraph V) [DecidableRel G.Adj]
def degMatrix [AddMonoidWithOne R] : Matrix V V R := Matrix.diagonal (G.degree ·)
def lapMatrix [AddGroupWithOne R] : Matrix V V R := G.degMatrix R - G.adjMatrix R
variable {R}
theorem isSymm_degMatrix [AddMonoidWithOne R] : (G.degMatrix R).IsSymm :=
isSymm_diagonal _
theorem isSymm_lapMatrix [AddGroupWithOne R] : (G.lapMatrix R).IsSymm :=
(isSymm_degMatrix _).sub (isSymm_adjMatrix _)
theorem degMatrix_mulVec_apply [NonAssocSemiring R] (v : V) (vec : V → R) :
(G.degMatrix R *ᵥ vec) v = G.degree v * vec v := by
rw [degMatrix, mulVec_diagonal]
theorem lapMatrix_mulVec_apply [NonAssocRing R] (v : V) (vec : V → R) :
(G.lapMatrix R *ᵥ vec) v = G.degree v * vec v - ∑ u ∈ G.neighborFinset v, vec u := by
simp_rw [lapMatrix, sub_mulVec, Pi.sub_apply, degMatrix_mulVec_apply, adjMatrix_mulVec_apply]
theorem lapMatrix_mulVec_const_eq_zero [Ring R] : mulVec (G.lapMatrix R) (fun _ ↦ 1) = 0 := by
ext1 i
rw [lapMatrix_mulVec_apply]
simp
theorem dotProduct_mulVec_degMatrix [CommRing R] (x : V → R) :
x ⬝ᵥ (G.degMatrix R *ᵥ x) = ∑ i : V, G.degree i * x i * x i := by
simp only [dotProduct, degMatrix, mulVec_diagonal, ← mul_assoc, mul_comm]
variable (R)
theorem degree_eq_sum_if_adj [AddCommMonoidWithOne R] (i : V) :
(G.degree i : R) = ∑ j : V, if G.Adj i j then 1 else 0 := by
unfold degree neighborFinset neighborSet
rw [sum_boole, Set.toFinset_setOf]
theorem lapMatrix_toLinearMap₂' [Field R] [CharZero R] (x : V → R) :
toLinearMap₂' (G.lapMatrix R) x x =
(∑ i : V, ∑ j : V, if G.Adj i j then (x i - x j)^2 else 0) / 2 := by
simp_rw [toLinearMap₂'_apply', lapMatrix, sub_mulVec, dotProduct_sub, dotProduct_mulVec_degMatrix,
dotProduct_mulVec_adjMatrix, ← sum_sub_distrib, degree_eq_sum_if_adj, sum_mul, ite_mul, one_mul,
zero_mul, ← sum_sub_distrib, ite_sub_ite, sub_zero]
rw [← half_add_self (∑ x_1 : V, ∑ x_2 : V, _)]
conv_lhs => enter [1,2,2,i,2,j]; rw [if_congr (adj_comm G i j) rfl rfl]
conv_lhs => enter [1,2]; rw [Finset.sum_comm]
simp_rw [← sum_add_distrib, ite_add_ite]
congr 2 with i
congr 2 with j
ring_nf
theorem posSemidef_lapMatrix [LinearOrderedField R] [StarRing R] [StarOrderedRing R]
[TrivialStar R] : PosSemidef (G.lapMatrix R) := by
constructor
· rw [IsHermitian, conjTranspose_eq_transpose_of_trivial, isSymm_lapMatrix]
· intro x
rw [star_trivial, ← toLinearMap₂'_apply', lapMatrix_toLinearMap₂']
positivity
theorem lapMatrix_toLinearMap₂'_apply'_eq_zero_iff_forall_adj [LinearOrderedField R] (x : V → R) :
Matrix.toLinearMap₂' (G.lapMatrix R) x x = 0 ↔ ∀ i j : V, G.Adj i j → x i = x j := by
simp (disch := intros; positivity)
[lapMatrix_toLinearMap₂', sum_eq_zero_iff_of_nonneg, sub_eq_zero]
theorem lapMatrix_toLin'_apply_eq_zero_iff_forall_adj (x : V → ℝ) :
Matrix.toLin' (G.lapMatrix ℝ) x = 0 ↔ ∀ i j : V, G.Adj i j → x i = x j := by
rw [← (posSemidef_lapMatrix ℝ G).toLinearMap₂'_zero_iff, star_trivial,
lapMatrix_toLinearMap₂'_apply'_eq_zero_iff_forall_adj]
theorem lapMatrix_toLinearMap₂'_apply'_eq_zero_iff_forall_reachable (x : V → ℝ) :
Matrix.toLinearMap₂' (G.lapMatrix ℝ) x x = 0 ↔ ∀ i j : V, G.Reachable i j → x i = x j := by
rw [lapMatrix_toLinearMap₂'_apply'_eq_zero_iff_forall_adj]
refine ⟨?_, fun h i j hA ↦ h i j hA.reachable⟩
intro h i j ⟨w⟩
induction' w with w i j _ hA _ h'
· rfl
· exact (h i j hA).trans h'
| Mathlib/Combinatorics/SimpleGraph/LapMatrix.lean | 117 | 120 | theorem lapMatrix_toLin'_apply_eq_zero_iff_forall_reachable (x : V → ℝ) :
Matrix.toLin' (G.lapMatrix ℝ) x = 0 ↔ ∀ i j : V, G.Reachable i j → x i = x j := by |
rw [← (posSemidef_lapMatrix ℝ G).toLinearMap₂'_zero_iff, star_trivial,
lapMatrix_toLinearMap₂'_apply'_eq_zero_iff_forall_reachable]
|
import Mathlib.Analysis.Calculus.FDeriv.Add
import Mathlib.Analysis.Calculus.FDeriv.Equiv
import Mathlib.Analysis.Calculus.FDeriv.Prod
import Mathlib.Analysis.Calculus.Monotone
import Mathlib.Data.Set.Function
import Mathlib.Algebra.Group.Basic
import Mathlib.Tactic.WLOG
#align_import analysis.bounded_variation from "leanprover-community/mathlib"@"3bce8d800a6f2b8f63fe1e588fd76a9ff4adcebe"
open scoped NNReal ENNReal Topology UniformConvergence
open Set MeasureTheory Filter
-- Porting note: sectioned variables because a `wlog` was broken due to extra variables in context
variable {α : Type*} [LinearOrder α] {E : Type*} [PseudoEMetricSpace E]
noncomputable def eVariationOn (f : α → E) (s : Set α) : ℝ≥0∞ :=
⨆ p : ℕ × { u : ℕ → α // Monotone u ∧ ∀ i, u i ∈ s },
∑ i ∈ Finset.range p.1, edist (f (p.2.1 (i + 1))) (f (p.2.1 i))
#align evariation_on eVariationOn
def BoundedVariationOn (f : α → E) (s : Set α) :=
eVariationOn f s ≠ ∞
#align has_bounded_variation_on BoundedVariationOn
def LocallyBoundedVariationOn (f : α → E) (s : Set α) :=
∀ a b, a ∈ s → b ∈ s → BoundedVariationOn f (s ∩ Icc a b)
#align has_locally_bounded_variation_on LocallyBoundedVariationOn
namespace eVariationOn
theorem nonempty_monotone_mem {s : Set α} (hs : s.Nonempty) :
Nonempty { u // Monotone u ∧ ∀ i : ℕ, u i ∈ s } := by
obtain ⟨x, hx⟩ := hs
exact ⟨⟨fun _ => x, fun i j _ => le_rfl, fun _ => hx⟩⟩
#align evariation_on.nonempty_monotone_mem eVariationOn.nonempty_monotone_mem
| Mathlib/Analysis/BoundedVariation.lean | 89 | 94 | theorem eq_of_edist_zero_on {f f' : α → E} {s : Set α} (h : ∀ ⦃x⦄, x ∈ s → edist (f x) (f' x) = 0) :
eVariationOn f s = eVariationOn f' s := by |
dsimp only [eVariationOn]
congr 1 with p : 1
congr 1 with i : 1
rw [edist_congr_right (h <| p.snd.prop.2 (i + 1)), edist_congr_left (h <| p.snd.prop.2 i)]
|
import Mathlib.Topology.UniformSpace.UniformConvergence
import Mathlib.Topology.UniformSpace.UniformEmbedding
import Mathlib.Topology.UniformSpace.CompleteSeparated
import Mathlib.Topology.UniformSpace.Compact
import Mathlib.Topology.Algebra.Group.Basic
import Mathlib.Topology.DiscreteSubset
import Mathlib.Tactic.Abel
#align_import topology.algebra.uniform_group from "leanprover-community/mathlib"@"bcfa726826abd57587355b4b5b7e78ad6527b7e4"
noncomputable section
open scoped Classical
open Uniformity Topology Filter Pointwise
section UniformGroup
open Filter Set
variable {α : Type*} {β : Type*}
class UniformGroup (α : Type*) [UniformSpace α] [Group α] : Prop where
uniformContinuous_div : UniformContinuous fun p : α × α => p.1 / p.2
#align uniform_group UniformGroup
class UniformAddGroup (α : Type*) [UniformSpace α] [AddGroup α] : Prop where
uniformContinuous_sub : UniformContinuous fun p : α × α => p.1 - p.2
#align uniform_add_group UniformAddGroup
attribute [to_additive] UniformGroup
@[to_additive]
theorem UniformGroup.mk' {α} [UniformSpace α] [Group α]
(h₁ : UniformContinuous fun p : α × α => p.1 * p.2) (h₂ : UniformContinuous fun p : α => p⁻¹) :
UniformGroup α :=
⟨by simpa only [div_eq_mul_inv] using
h₁.comp (uniformContinuous_fst.prod_mk (h₂.comp uniformContinuous_snd))⟩
#align uniform_group.mk' UniformGroup.mk'
#align uniform_add_group.mk' UniformAddGroup.mk'
variable [UniformSpace α] [Group α] [UniformGroup α]
@[to_additive]
theorem uniformContinuous_div : UniformContinuous fun p : α × α => p.1 / p.2 :=
UniformGroup.uniformContinuous_div
#align uniform_continuous_div uniformContinuous_div
#align uniform_continuous_sub uniformContinuous_sub
@[to_additive]
theorem UniformContinuous.div [UniformSpace β] {f : β → α} {g : β → α} (hf : UniformContinuous f)
(hg : UniformContinuous g) : UniformContinuous fun x => f x / g x :=
uniformContinuous_div.comp (hf.prod_mk hg)
#align uniform_continuous.div UniformContinuous.div
#align uniform_continuous.sub UniformContinuous.sub
@[to_additive]
theorem UniformContinuous.inv [UniformSpace β] {f : β → α} (hf : UniformContinuous f) :
UniformContinuous fun x => (f x)⁻¹ := by
have : UniformContinuous fun x => 1 / f x := uniformContinuous_const.div hf
simp_all
#align uniform_continuous.inv UniformContinuous.inv
#align uniform_continuous.neg UniformContinuous.neg
@[to_additive]
theorem uniformContinuous_inv : UniformContinuous fun x : α => x⁻¹ :=
uniformContinuous_id.inv
#align uniform_continuous_inv uniformContinuous_inv
#align uniform_continuous_neg uniformContinuous_neg
@[to_additive]
theorem UniformContinuous.mul [UniformSpace β] {f : β → α} {g : β → α} (hf : UniformContinuous f)
(hg : UniformContinuous g) : UniformContinuous fun x => f x * g x := by
have : UniformContinuous fun x => f x / (g x)⁻¹ := hf.div hg.inv
simp_all
#align uniform_continuous.mul UniformContinuous.mul
#align uniform_continuous.add UniformContinuous.add
@[to_additive]
theorem uniformContinuous_mul : UniformContinuous fun p : α × α => p.1 * p.2 :=
uniformContinuous_fst.mul uniformContinuous_snd
#align uniform_continuous_mul uniformContinuous_mul
#align uniform_continuous_add uniformContinuous_add
@[to_additive UniformContinuous.const_nsmul]
theorem UniformContinuous.pow_const [UniformSpace β] {f : β → α} (hf : UniformContinuous f) :
∀ n : ℕ, UniformContinuous fun x => f x ^ n
| 0 => by
simp_rw [pow_zero]
exact uniformContinuous_const
| n + 1 => by
simp_rw [pow_succ']
exact hf.mul (hf.pow_const n)
#align uniform_continuous.pow_const UniformContinuous.pow_const
#align uniform_continuous.const_nsmul UniformContinuous.const_nsmul
@[to_additive uniformContinuous_const_nsmul]
theorem uniformContinuous_pow_const (n : ℕ) : UniformContinuous fun x : α => x ^ n :=
uniformContinuous_id.pow_const n
#align uniform_continuous_pow_const uniformContinuous_pow_const
#align uniform_continuous_const_nsmul uniformContinuous_const_nsmul
@[to_additive UniformContinuous.const_zsmul]
theorem UniformContinuous.zpow_const [UniformSpace β] {f : β → α} (hf : UniformContinuous f) :
∀ n : ℤ, UniformContinuous fun x => f x ^ n
| (n : ℕ) => by
simp_rw [zpow_natCast]
exact hf.pow_const _
| Int.negSucc n => by
simp_rw [zpow_negSucc]
exact (hf.pow_const _).inv
#align uniform_continuous.zpow_const UniformContinuous.zpow_const
#align uniform_continuous.const_zsmul UniformContinuous.const_zsmul
@[to_additive uniformContinuous_const_zsmul]
theorem uniformContinuous_zpow_const (n : ℤ) : UniformContinuous fun x : α => x ^ n :=
uniformContinuous_id.zpow_const n
#align uniform_continuous_zpow_const uniformContinuous_zpow_const
#align uniform_continuous_const_zsmul uniformContinuous_const_zsmul
@[to_additive]
instance (priority := 10) UniformGroup.to_topologicalGroup : TopologicalGroup α where
continuous_mul := uniformContinuous_mul.continuous
continuous_inv := uniformContinuous_inv.continuous
#align uniform_group.to_topological_group UniformGroup.to_topologicalGroup
#align uniform_add_group.to_topological_add_group UniformAddGroup.to_topologicalAddGroup
@[to_additive]
instance [UniformSpace β] [Group β] [UniformGroup β] : UniformGroup (α × β) :=
⟨((uniformContinuous_fst.comp uniformContinuous_fst).div
(uniformContinuous_fst.comp uniformContinuous_snd)).prod_mk
((uniformContinuous_snd.comp uniformContinuous_fst).div
(uniformContinuous_snd.comp uniformContinuous_snd))⟩
@[to_additive]
instance Pi.instUniformGroup {ι : Type*} {G : ι → Type*} [∀ i, UniformSpace (G i)]
[∀ i, Group (G i)] [∀ i, UniformGroup (G i)] : UniformGroup (∀ i, G i) where
uniformContinuous_div := uniformContinuous_pi.mpr fun i ↦
(uniformContinuous_proj G i).comp uniformContinuous_fst |>.div <|
(uniformContinuous_proj G i).comp uniformContinuous_snd
@[to_additive]
theorem uniformity_translate_mul (a : α) : ((𝓤 α).map fun x : α × α => (x.1 * a, x.2 * a)) = 𝓤 α :=
le_antisymm (uniformContinuous_id.mul uniformContinuous_const)
(calc
𝓤 α =
((𝓤 α).map fun x : α × α => (x.1 * a⁻¹, x.2 * a⁻¹)).map fun x : α × α =>
(x.1 * a, x.2 * a) := by simp [Filter.map_map, (· ∘ ·)]
_ ≤ (𝓤 α).map fun x : α × α => (x.1 * a, x.2 * a) :=
Filter.map_mono (uniformContinuous_id.mul uniformContinuous_const)
)
#align uniformity_translate_mul uniformity_translate_mul
#align uniformity_translate_add uniformity_translate_add
@[to_additive]
theorem uniformEmbedding_translate_mul (a : α) : UniformEmbedding fun x : α => x * a :=
{ comap_uniformity := by
nth_rw 1 [← uniformity_translate_mul a, comap_map]
rintro ⟨p₁, p₂⟩ ⟨q₁, q₂⟩
simp only [Prod.mk.injEq, mul_left_inj, imp_self]
inj := mul_left_injective a }
#align uniform_embedding_translate_mul uniformEmbedding_translate_mul
#align uniform_embedding_translate_add uniformEmbedding_translate_add
section LatticeOps
variable [Group β]
@[to_additive]
theorem uniformGroup_sInf {us : Set (UniformSpace β)} (h : ∀ u ∈ us, @UniformGroup β u _) :
@UniformGroup β (sInf us) _ :=
-- Porting note: {_} does not find `sInf us` instance, see `continuousSMul_sInf`
@UniformGroup.mk β (_) _ <|
uniformContinuous_sInf_rng.mpr fun u hu =>
uniformContinuous_sInf_dom₂ hu hu (@UniformGroup.uniformContinuous_div β u _ (h u hu))
#align uniform_group_Inf uniformGroup_sInf
#align uniform_add_group_Inf uniformAddGroup_sInf
@[to_additive]
| Mathlib/Topology/Algebra/UniformGroup.lean | 221 | 224 | theorem uniformGroup_iInf {ι : Sort*} {us' : ι → UniformSpace β}
(h' : ∀ i, @UniformGroup β (us' i) _) : @UniformGroup β (⨅ i, us' i) _ := by |
rw [← sInf_range]
exact uniformGroup_sInf (Set.forall_mem_range.mpr h')
|
import Mathlib.Data.Real.Sqrt
import Mathlib.Analysis.NormedSpace.Star.Basic
import Mathlib.Analysis.NormedSpace.ContinuousLinearMap
import Mathlib.Analysis.NormedSpace.Basic
#align_import data.is_R_or_C.basic from "leanprover-community/mathlib"@"baa88307f3e699fa7054ef04ec79fa4f056169cb"
section
local notation "𝓚" => algebraMap ℝ _
open ComplexConjugate
class RCLike (K : semiOutParam Type*) extends DenselyNormedField K, StarRing K,
NormedAlgebra ℝ K, CompleteSpace K where
re : K →+ ℝ
im : K →+ ℝ
I : K
I_re_ax : re I = 0
I_mul_I_ax : I = 0 ∨ I * I = -1
re_add_im_ax : ∀ z : K, 𝓚 (re z) + 𝓚 (im z) * I = z
ofReal_re_ax : ∀ r : ℝ, re (𝓚 r) = r
ofReal_im_ax : ∀ r : ℝ, im (𝓚 r) = 0
mul_re_ax : ∀ z w : K, re (z * w) = re z * re w - im z * im w
mul_im_ax : ∀ z w : K, im (z * w) = re z * im w + im z * re w
conj_re_ax : ∀ z : K, re (conj z) = re z
conj_im_ax : ∀ z : K, im (conj z) = -im z
conj_I_ax : conj I = -I
norm_sq_eq_def_ax : ∀ z : K, ‖z‖ ^ 2 = re z * re z + im z * im z
mul_im_I_ax : ∀ z : K, im z * im I = im z
[toPartialOrder : PartialOrder K]
le_iff_re_im {z w : K} : z ≤ w ↔ re z ≤ re w ∧ im z = im w
-- note we cannot put this in the `extends` clause
[toDecidableEq : DecidableEq K]
#align is_R_or_C RCLike
scoped[ComplexOrder] attribute [instance 100] RCLike.toPartialOrder
attribute [instance 100] RCLike.toDecidableEq
end
variable {K E : Type*} [RCLike K]
namespace RCLike
open ComplexConjugate
@[coe] abbrev ofReal : ℝ → K := Algebra.cast
noncomputable instance (priority := 900) algebraMapCoe : CoeTC ℝ K :=
⟨ofReal⟩
#align is_R_or_C.algebra_map_coe RCLike.algebraMapCoe
theorem ofReal_alg (x : ℝ) : (x : K) = x • (1 : K) :=
Algebra.algebraMap_eq_smul_one x
#align is_R_or_C.of_real_alg RCLike.ofReal_alg
theorem real_smul_eq_coe_mul (r : ℝ) (z : K) : r • z = (r : K) * z :=
Algebra.smul_def r z
#align is_R_or_C.real_smul_eq_coe_mul RCLike.real_smul_eq_coe_mul
theorem real_smul_eq_coe_smul [AddCommGroup E] [Module K E] [Module ℝ E] [IsScalarTower ℝ K E]
(r : ℝ) (x : E) : r • x = (r : K) • x := by rw [RCLike.ofReal_alg, smul_one_smul]
#align is_R_or_C.real_smul_eq_coe_smul RCLike.real_smul_eq_coe_smul
theorem algebraMap_eq_ofReal : ⇑(algebraMap ℝ K) = ofReal :=
rfl
#align is_R_or_C.algebra_map_eq_of_real RCLike.algebraMap_eq_ofReal
@[simp, rclike_simps]
theorem re_add_im (z : K) : (re z : K) + im z * I = z :=
RCLike.re_add_im_ax z
#align is_R_or_C.re_add_im RCLike.re_add_im
@[simp, norm_cast, rclike_simps]
theorem ofReal_re : ∀ r : ℝ, re (r : K) = r :=
RCLike.ofReal_re_ax
#align is_R_or_C.of_real_re RCLike.ofReal_re
@[simp, norm_cast, rclike_simps]
theorem ofReal_im : ∀ r : ℝ, im (r : K) = 0 :=
RCLike.ofReal_im_ax
#align is_R_or_C.of_real_im RCLike.ofReal_im
@[simp, rclike_simps]
theorem mul_re : ∀ z w : K, re (z * w) = re z * re w - im z * im w :=
RCLike.mul_re_ax
#align is_R_or_C.mul_re RCLike.mul_re
@[simp, rclike_simps]
theorem mul_im : ∀ z w : K, im (z * w) = re z * im w + im z * re w :=
RCLike.mul_im_ax
#align is_R_or_C.mul_im RCLike.mul_im
theorem ext_iff {z w : K} : z = w ↔ re z = re w ∧ im z = im w :=
⟨fun h => h ▸ ⟨rfl, rfl⟩, fun ⟨h₁, h₂⟩ => re_add_im z ▸ re_add_im w ▸ h₁ ▸ h₂ ▸ rfl⟩
#align is_R_or_C.ext_iff RCLike.ext_iff
theorem ext {z w : K} (hre : re z = re w) (him : im z = im w) : z = w :=
ext_iff.2 ⟨hre, him⟩
#align is_R_or_C.ext RCLike.ext
@[norm_cast]
theorem ofReal_zero : ((0 : ℝ) : K) = 0 :=
algebraMap.coe_zero
#align is_R_or_C.of_real_zero RCLike.ofReal_zero
@[rclike_simps]
theorem zero_re' : re (0 : K) = (0 : ℝ) :=
map_zero re
#align is_R_or_C.zero_re' RCLike.zero_re'
@[norm_cast]
theorem ofReal_one : ((1 : ℝ) : K) = 1 :=
map_one (algebraMap ℝ K)
#align is_R_or_C.of_real_one RCLike.ofReal_one
@[simp, rclike_simps]
theorem one_re : re (1 : K) = 1 := by rw [← ofReal_one, ofReal_re]
#align is_R_or_C.one_re RCLike.one_re
@[simp, rclike_simps]
theorem one_im : im (1 : K) = 0 := by rw [← ofReal_one, ofReal_im]
#align is_R_or_C.one_im RCLike.one_im
theorem ofReal_injective : Function.Injective ((↑) : ℝ → K) :=
(algebraMap ℝ K).injective
#align is_R_or_C.of_real_injective RCLike.ofReal_injective
@[norm_cast]
theorem ofReal_inj {z w : ℝ} : (z : K) = (w : K) ↔ z = w :=
algebraMap.coe_inj
#align is_R_or_C.of_real_inj RCLike.ofReal_inj
-- replaced by `RCLike.ofNat_re`
#noalign is_R_or_C.bit0_re
#noalign is_R_or_C.bit1_re
-- replaced by `RCLike.ofNat_im`
#noalign is_R_or_C.bit0_im
#noalign is_R_or_C.bit1_im
theorem ofReal_eq_zero {x : ℝ} : (x : K) = 0 ↔ x = 0 :=
algebraMap.lift_map_eq_zero_iff x
#align is_R_or_C.of_real_eq_zero RCLike.ofReal_eq_zero
theorem ofReal_ne_zero {x : ℝ} : (x : K) ≠ 0 ↔ x ≠ 0 :=
ofReal_eq_zero.not
#align is_R_or_C.of_real_ne_zero RCLike.ofReal_ne_zero
@[simp, rclike_simps, norm_cast]
theorem ofReal_add (r s : ℝ) : ((r + s : ℝ) : K) = r + s :=
algebraMap.coe_add _ _
#align is_R_or_C.of_real_add RCLike.ofReal_add
-- replaced by `RCLike.ofReal_ofNat`
#noalign is_R_or_C.of_real_bit0
#noalign is_R_or_C.of_real_bit1
@[simp, norm_cast, rclike_simps]
theorem ofReal_neg (r : ℝ) : ((-r : ℝ) : K) = -r :=
algebraMap.coe_neg r
#align is_R_or_C.of_real_neg RCLike.ofReal_neg
@[simp, norm_cast, rclike_simps]
theorem ofReal_sub (r s : ℝ) : ((r - s : ℝ) : K) = r - s :=
map_sub (algebraMap ℝ K) r s
#align is_R_or_C.of_real_sub RCLike.ofReal_sub
@[simp, rclike_simps, norm_cast]
theorem ofReal_sum {α : Type*} (s : Finset α) (f : α → ℝ) :
((∑ i ∈ s, f i : ℝ) : K) = ∑ i ∈ s, (f i : K) :=
map_sum (algebraMap ℝ K) _ _
#align is_R_or_C.of_real_sum RCLike.ofReal_sum
@[simp, rclike_simps, norm_cast]
theorem ofReal_finsupp_sum {α M : Type*} [Zero M] (f : α →₀ M) (g : α → M → ℝ) :
((f.sum fun a b => g a b : ℝ) : K) = f.sum fun a b => (g a b : K) :=
map_finsupp_sum (algebraMap ℝ K) f g
#align is_R_or_C.of_real_finsupp_sum RCLike.ofReal_finsupp_sum
@[simp, norm_cast, rclike_simps]
theorem ofReal_mul (r s : ℝ) : ((r * s : ℝ) : K) = r * s :=
algebraMap.coe_mul _ _
#align is_R_or_C.of_real_mul RCLike.ofReal_mul
@[simp, norm_cast, rclike_simps]
theorem ofReal_pow (r : ℝ) (n : ℕ) : ((r ^ n : ℝ) : K) = (r : K) ^ n :=
map_pow (algebraMap ℝ K) r n
#align is_R_or_C.of_real_pow RCLike.ofReal_pow
@[simp, rclike_simps, norm_cast]
theorem ofReal_prod {α : Type*} (s : Finset α) (f : α → ℝ) :
((∏ i ∈ s, f i : ℝ) : K) = ∏ i ∈ s, (f i : K) :=
map_prod (algebraMap ℝ K) _ _
#align is_R_or_C.of_real_prod RCLike.ofReal_prod
@[simp, rclike_simps, norm_cast]
theorem ofReal_finsupp_prod {α M : Type*} [Zero M] (f : α →₀ M) (g : α → M → ℝ) :
((f.prod fun a b => g a b : ℝ) : K) = f.prod fun a b => (g a b : K) :=
map_finsupp_prod _ f g
#align is_R_or_C.of_real_finsupp_prod RCLike.ofReal_finsupp_prod
@[simp, norm_cast, rclike_simps]
theorem real_smul_ofReal (r x : ℝ) : r • (x : K) = (r : K) * (x : K) :=
real_smul_eq_coe_mul _ _
#align is_R_or_C.real_smul_of_real RCLike.real_smul_ofReal
@[rclike_simps]
theorem re_ofReal_mul (r : ℝ) (z : K) : re (↑r * z) = r * re z := by
simp only [mul_re, ofReal_im, zero_mul, ofReal_re, sub_zero]
#align is_R_or_C.of_real_mul_re RCLike.re_ofReal_mul
@[rclike_simps]
theorem im_ofReal_mul (r : ℝ) (z : K) : im (↑r * z) = r * im z := by
simp only [add_zero, ofReal_im, zero_mul, ofReal_re, mul_im]
#align is_R_or_C.of_real_mul_im RCLike.im_ofReal_mul
@[rclike_simps]
theorem smul_re (r : ℝ) (z : K) : re (r • z) = r * re z := by
rw [real_smul_eq_coe_mul, re_ofReal_mul]
#align is_R_or_C.smul_re RCLike.smul_re
@[rclike_simps]
theorem smul_im (r : ℝ) (z : K) : im (r • z) = r * im z := by
rw [real_smul_eq_coe_mul, im_ofReal_mul]
#align is_R_or_C.smul_im RCLike.smul_im
@[simp, norm_cast, rclike_simps]
theorem norm_ofReal (r : ℝ) : ‖(r : K)‖ = |r| :=
norm_algebraMap' K r
#align is_R_or_C.norm_of_real RCLike.norm_ofReal
-- see Note [lower instance priority]
instance (priority := 100) charZero_rclike : CharZero K :=
(RingHom.charZero_iff (algebraMap ℝ K).injective).1 inferInstance
set_option linter.uppercaseLean3 false in
#align is_R_or_C.char_zero_R_or_C RCLike.charZero_rclike
@[simp, rclike_simps]
theorem I_re : re (I : K) = 0 :=
I_re_ax
set_option linter.uppercaseLean3 false in
#align is_R_or_C.I_re RCLike.I_re
@[simp, rclike_simps]
theorem I_im (z : K) : im z * im (I : K) = im z :=
mul_im_I_ax z
set_option linter.uppercaseLean3 false in
#align is_R_or_C.I_im RCLike.I_im
@[simp, rclike_simps]
theorem I_im' (z : K) : im (I : K) * im z = im z := by rw [mul_comm, I_im]
set_option linter.uppercaseLean3 false in
#align is_R_or_C.I_im' RCLike.I_im'
@[rclike_simps] -- porting note (#10618): was `simp`
theorem I_mul_re (z : K) : re (I * z) = -im z := by
simp only [I_re, zero_sub, I_im', zero_mul, mul_re]
set_option linter.uppercaseLean3 false in
#align is_R_or_C.I_mul_re RCLike.I_mul_re
theorem I_mul_I : (I : K) = 0 ∨ (I : K) * I = -1 :=
I_mul_I_ax
set_option linter.uppercaseLean3 false in
#align is_R_or_C.I_mul_I RCLike.I_mul_I
variable (𝕜) in
lemma I_eq_zero_or_im_I_eq_one : (I : K) = 0 ∨ im (I : K) = 1 :=
I_mul_I (K := K) |>.imp_right fun h ↦ by simpa [h] using (I_mul_re (I : K)).symm
@[simp, rclike_simps]
theorem conj_re (z : K) : re (conj z) = re z :=
RCLike.conj_re_ax z
#align is_R_or_C.conj_re RCLike.conj_re
@[simp, rclike_simps]
theorem conj_im (z : K) : im (conj z) = -im z :=
RCLike.conj_im_ax z
#align is_R_or_C.conj_im RCLike.conj_im
@[simp, rclike_simps]
theorem conj_I : conj (I : K) = -I :=
RCLike.conj_I_ax
set_option linter.uppercaseLean3 false in
#align is_R_or_C.conj_I RCLike.conj_I
@[simp, rclike_simps]
theorem conj_ofReal (r : ℝ) : conj (r : K) = (r : K) := by
rw [ext_iff]
simp only [ofReal_im, conj_im, eq_self_iff_true, conj_re, and_self_iff, neg_zero]
#align is_R_or_C.conj_of_real RCLike.conj_ofReal
-- replaced by `RCLike.conj_ofNat`
#noalign is_R_or_C.conj_bit0
#noalign is_R_or_C.conj_bit1
theorem conj_nat_cast (n : ℕ) : conj (n : K) = n := map_natCast _ _
-- See note [no_index around OfNat.ofNat]
theorem conj_ofNat (n : ℕ) [n.AtLeastTwo] : conj (no_index (OfNat.ofNat n : K)) = OfNat.ofNat n :=
map_ofNat _ _
@[rclike_simps] -- Porting note (#10618): was a `simp` but `simp` can prove it
theorem conj_neg_I : conj (-I) = (I : K) := by rw [map_neg, conj_I, neg_neg]
set_option linter.uppercaseLean3 false in
#align is_R_or_C.conj_neg_I RCLike.conj_neg_I
theorem conj_eq_re_sub_im (z : K) : conj z = re z - im z * I :=
(congr_arg conj (re_add_im z).symm).trans <| by
rw [map_add, map_mul, conj_I, conj_ofReal, conj_ofReal, mul_neg, sub_eq_add_neg]
#align is_R_or_C.conj_eq_re_sub_im RCLike.conj_eq_re_sub_im
theorem sub_conj (z : K) : z - conj z = 2 * im z * I :=
calc
z - conj z = re z + im z * I - (re z - im z * I) := by rw [re_add_im, ← conj_eq_re_sub_im]
_ = 2 * im z * I := by rw [add_sub_sub_cancel, ← two_mul, mul_assoc]
#align is_R_or_C.sub_conj RCLike.sub_conj
@[rclike_simps]
theorem conj_smul (r : ℝ) (z : K) : conj (r • z) = r • conj z := by
rw [conj_eq_re_sub_im, conj_eq_re_sub_im, smul_re, smul_im, ofReal_mul, ofReal_mul,
real_smul_eq_coe_mul r (_ - _), mul_sub, mul_assoc]
#align is_R_or_C.conj_smul RCLike.conj_smul
theorem add_conj (z : K) : z + conj z = 2 * re z :=
calc
z + conj z = re z + im z * I + (re z - im z * I) := by rw [re_add_im, conj_eq_re_sub_im]
_ = 2 * re z := by rw [add_add_sub_cancel, two_mul]
#align is_R_or_C.add_conj RCLike.add_conj
theorem re_eq_add_conj (z : K) : ↑(re z) = (z + conj z) / 2 := by
rw [add_conj, mul_div_cancel_left₀ (re z : K) two_ne_zero]
#align is_R_or_C.re_eq_add_conj RCLike.re_eq_add_conj
theorem im_eq_conj_sub (z : K) : ↑(im z) = I * (conj z - z) / 2 := by
rw [← neg_inj, ← ofReal_neg, ← I_mul_re, re_eq_add_conj, map_mul, conj_I, ← neg_div, ← mul_neg,
neg_sub, mul_sub, neg_mul, sub_eq_add_neg]
#align is_R_or_C.im_eq_conj_sub RCLike.im_eq_conj_sub
open List in
theorem is_real_TFAE (z : K) : TFAE [conj z = z, ∃ r : ℝ, (r : K) = z, ↑(re z) = z, im z = 0] := by
tfae_have 1 → 4
· intro h
rw [← @ofReal_inj K, im_eq_conj_sub, h, sub_self, mul_zero, zero_div,
ofReal_zero]
tfae_have 4 → 3
· intro h
conv_rhs => rw [← re_add_im z, h, ofReal_zero, zero_mul, add_zero]
tfae_have 3 → 2
· exact fun h => ⟨_, h⟩
tfae_have 2 → 1
· exact fun ⟨r, hr⟩ => hr ▸ conj_ofReal _
tfae_finish
#align is_R_or_C.is_real_tfae RCLike.is_real_TFAE
theorem conj_eq_iff_real {z : K} : conj z = z ↔ ∃ r : ℝ, z = (r : K) :=
((is_real_TFAE z).out 0 1).trans <| by simp only [eq_comm]
#align is_R_or_C.conj_eq_iff_real RCLike.conj_eq_iff_real
theorem conj_eq_iff_re {z : K} : conj z = z ↔ (re z : K) = z :=
(is_real_TFAE z).out 0 2
#align is_R_or_C.conj_eq_iff_re RCLike.conj_eq_iff_re
theorem conj_eq_iff_im {z : K} : conj z = z ↔ im z = 0 :=
(is_real_TFAE z).out 0 3
#align is_R_or_C.conj_eq_iff_im RCLike.conj_eq_iff_im
@[simp]
theorem star_def : (Star.star : K → K) = conj :=
rfl
#align is_R_or_C.star_def RCLike.star_def
variable (K)
abbrev conjToRingEquiv : K ≃+* Kᵐᵒᵖ :=
starRingEquiv
#align is_R_or_C.conj_to_ring_equiv RCLike.conjToRingEquiv
variable {K} {z : K}
def normSq : K →*₀ ℝ where
toFun z := re z * re z + im z * im z
map_zero' := by simp only [add_zero, mul_zero, map_zero]
map_one' := by simp only [one_im, add_zero, mul_one, one_re, mul_zero]
map_mul' z w := by
simp only [mul_im, mul_re]
ring
#align is_R_or_C.norm_sq RCLike.normSq
theorem normSq_apply (z : K) : normSq z = re z * re z + im z * im z :=
rfl
#align is_R_or_C.norm_sq_apply RCLike.normSq_apply
theorem norm_sq_eq_def {z : K} : ‖z‖ ^ 2 = re z * re z + im z * im z :=
norm_sq_eq_def_ax z
#align is_R_or_C.norm_sq_eq_def RCLike.norm_sq_eq_def
theorem normSq_eq_def' (z : K) : normSq z = ‖z‖ ^ 2 :=
norm_sq_eq_def.symm
#align is_R_or_C.norm_sq_eq_def' RCLike.normSq_eq_def'
@[rclike_simps]
theorem normSq_zero : normSq (0 : K) = 0 :=
normSq.map_zero
#align is_R_or_C.norm_sq_zero RCLike.normSq_zero
@[rclike_simps]
theorem normSq_one : normSq (1 : K) = 1 :=
normSq.map_one
#align is_R_or_C.norm_sq_one RCLike.normSq_one
theorem normSq_nonneg (z : K) : 0 ≤ normSq z :=
add_nonneg (mul_self_nonneg _) (mul_self_nonneg _)
#align is_R_or_C.norm_sq_nonneg RCLike.normSq_nonneg
@[rclike_simps] -- porting note (#10618): was `simp`
theorem normSq_eq_zero {z : K} : normSq z = 0 ↔ z = 0 :=
map_eq_zero _
#align is_R_or_C.norm_sq_eq_zero RCLike.normSq_eq_zero
@[simp, rclike_simps]
theorem normSq_pos {z : K} : 0 < normSq z ↔ z ≠ 0 := by
rw [lt_iff_le_and_ne, Ne, eq_comm]; simp [normSq_nonneg]
#align is_R_or_C.norm_sq_pos RCLike.normSq_pos
@[simp, rclike_simps]
theorem normSq_neg (z : K) : normSq (-z) = normSq z := by simp only [normSq_eq_def', norm_neg]
#align is_R_or_C.norm_sq_neg RCLike.normSq_neg
@[simp, rclike_simps]
theorem normSq_conj (z : K) : normSq (conj z) = normSq z := by
simp only [normSq_apply, neg_mul, mul_neg, neg_neg, rclike_simps]
#align is_R_or_C.norm_sq_conj RCLike.normSq_conj
@[rclike_simps] -- porting note (#10618): was `simp`
theorem normSq_mul (z w : K) : normSq (z * w) = normSq z * normSq w :=
map_mul _ z w
#align is_R_or_C.norm_sq_mul RCLike.normSq_mul
theorem normSq_add (z w : K) : normSq (z + w) = normSq z + normSq w + 2 * re (z * conj w) := by
simp only [normSq_apply, map_add, rclike_simps]
ring
#align is_R_or_C.norm_sq_add RCLike.normSq_add
theorem re_sq_le_normSq (z : K) : re z * re z ≤ normSq z :=
le_add_of_nonneg_right (mul_self_nonneg _)
#align is_R_or_C.re_sq_le_norm_sq RCLike.re_sq_le_normSq
theorem im_sq_le_normSq (z : K) : im z * im z ≤ normSq z :=
le_add_of_nonneg_left (mul_self_nonneg _)
#align is_R_or_C.im_sq_le_norm_sq RCLike.im_sq_le_normSq
theorem mul_conj (z : K) : z * conj z = ‖z‖ ^ 2 := by
apply ext <;> simp [← ofReal_pow, norm_sq_eq_def, mul_comm]
#align is_R_or_C.mul_conj RCLike.mul_conj
theorem conj_mul (z : K) : conj z * z = ‖z‖ ^ 2 := by rw [mul_comm, mul_conj]
#align is_R_or_C.conj_mul RCLike.conj_mul
lemma inv_eq_conj (hz : ‖z‖ = 1) : z⁻¹ = conj z :=
inv_eq_of_mul_eq_one_left $ by simp_rw [conj_mul, hz, algebraMap.coe_one, one_pow]
theorem normSq_sub (z w : K) : normSq (z - w) = normSq z + normSq w - 2 * re (z * conj w) := by
simp only [normSq_add, sub_eq_add_neg, map_neg, mul_neg, normSq_neg, map_neg]
#align is_R_or_C.norm_sq_sub RCLike.normSq_sub
theorem sqrt_normSq_eq_norm {z : K} : √(normSq z) = ‖z‖ := by
rw [normSq_eq_def', Real.sqrt_sq (norm_nonneg _)]
#align is_R_or_C.sqrt_norm_sq_eq_norm RCLike.sqrt_normSq_eq_norm
@[simp, norm_cast, rclike_simps]
theorem ofReal_inv (r : ℝ) : ((r⁻¹ : ℝ) : K) = (r : K)⁻¹ :=
map_inv₀ _ r
#align is_R_or_C.of_real_inv RCLike.ofReal_inv
theorem inv_def (z : K) : z⁻¹ = conj z * ((‖z‖ ^ 2)⁻¹ : ℝ) := by
rcases eq_or_ne z 0 with (rfl | h₀)
· simp
· apply inv_eq_of_mul_eq_one_right
rw [← mul_assoc, mul_conj, ofReal_inv, ofReal_pow, mul_inv_cancel]
simpa
#align is_R_or_C.inv_def RCLike.inv_def
@[simp, rclike_simps]
theorem inv_re (z : K) : re z⁻¹ = re z / normSq z := by
rw [inv_def, normSq_eq_def', mul_comm, re_ofReal_mul, conj_re, div_eq_inv_mul]
#align is_R_or_C.inv_re RCLike.inv_re
@[simp, rclike_simps]
| Mathlib/Analysis/RCLike/Basic.lean | 546 | 547 | theorem inv_im (z : K) : im z⁻¹ = -im z / normSq z := by |
rw [inv_def, normSq_eq_def', mul_comm, im_ofReal_mul, conj_im, div_eq_inv_mul]
|
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